codelion/SmolLM2-70M
Text Generation • 69.2M • Updated
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id string | concept_name string | domain string | content_type string | text string | quality_score float64 | information_density string | complexity_level int64 | token_count int64 | prerequisites list | builds_to list | cross_domain_connections list | quality_assessment dict |
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d787f239-9352-4872-ae86-70ebe17c9c43 | Incorrect Oil Capacities | technology | worked_examples | Incorrect Oil Capacities?
When looking through the standard owner’s manual for a boat engine, it’s important to note that the engine oil capacities listed are approximate. In addition, the engine oil capacity is reflective of the entire lubrication system. For this reason, when filling the engine, sometimes boat owners will notice that the engine is filled before the indicated amount of oil is used. Once oil is inside the engine, it’s quite difficult to ensure that all the oil is drained during an oil change. The residual oil left in the engine is the reason that it cannot be filled with the recommended amount of oil.
For a popular engine model, like the MerCruiser from Mercury, it’s important to fill the crankcase according to the dipstick when the engine is level. If the oil is at the mark, then it as the proper level regardless of how much additional oil is put in. Never overfill the crankcase, and always ensure that the right oil is used. For example, for a MerCruiser engine, use Mercury oil from the manufacturer for better performance and to preserve the life of the engine. The engine oil level should be between the add and full marks on the dipstick. | 0.6 | medium | 4 | 250 | [
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83abb98f-e4b9-44a9-8cb5-a2925eb6b87a | Somewhat like a law of nature | science | research_summary | Somewhat like a law of nature?:
The first study to compare the accumulation of mutations across many animal species has shed new light on decades-old questions about the role of these genetic changes in ageing and cancer. Researchers from the Wellcome Sanger Institute found that despite huge variation in lifespan and size, different animal species end their natural life with similar numbers of genetic changes.
The study, published today (13 April 2022) in Nature, analysed genomes from 16 species of mammal, from mice to giraffes. The authors confirmed that the longer the lifespan of a species, the slower the rate at which mutations occur, lending support to the long-standing theory that somatic mutations play a role in ageing…
Dr Alex Cagan, a first author of the study from the Wellcome Sanger Institute, said: “To find a similar pattern of genetic changes in animals as different from one another as a mouse and a tiger was surprising. But the most exciting aspect of the study has to be finding that lifespan is inversely proportional to the somatic mutation rate. This suggests that somatic mutations may play a role in ageing, although alternative explanations may be possible. Over the next few years, it will be fascinating to extend these studies into even more diverse species, such as insects or plants.”Wellcome Trust Sanger Institute, “Mutations across animal kingdom shed new light on aging” at ScienceDaily (April 13, 2022)
The paper is open access.
You may also wish to read: Surprise, Surprise, The aging process is irreversible | 0.55 | medium | 5 | 322 | [
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5cb549a8-79f4-49c8-810a-a8c1cfac769b | Peter Dekens’ first memory | social_studies | historical_context | Peter Dekens’ first memory of the First World War dates from 1979. His cousin died while dismantling an old projectile. The traces of the Great War have been almost completely erased from the Belgian landscape, but to this day, human remains and projectiles are still found along the former front line in Ypres. With Shaky Ground Peter Dekens tells the story of these remains and offers a reflection on the current European situation in which the awareness of the importance of unity stands on shaky ground again.
One hundred years ago, on 11 November 1918, the armistice came into effect. For the special occasion of this commemoration we will include a free a high-quality Baryta inkjet photo print (18x27 cm / 7x10.6″) with every purchase of the book until the end of this year.
Peter Dekens’ earliest memory of the First World War dates back to 1979, aged 12. One of his cousins found an old, unexploded bombshell and tried to dismantle it. The explosive went off and he succumbed to his injuries later that same evening.
Driving along the former front line in Ypres (Belgium) now it’s nearly impossible to imagine that one of the most horrific wars of all time was waged here one hundred years ago.
The traces of the Great War have been almost completely erased from the landscape, over the course of decades, hundreds of bunkers were removed. To this very day, human remains and projectiles are still found every time someone sticks a spade into the soil. Somewhere beneath the sod, tens of thousands of missing soldiers are presumed to lie undiscovered, along with hundreds of thousands of unexploded shells.
An estimated thirty per cent of the 1.5 billion bombshells fired during the First World War never went off. Some of the people who live in the area have developed a sixth sense for this hidden history: where tens of thousands of tourists and travellers pass by unknowing, the locals know that the slightest raise or dip in the road could be an indication that war remnants still lie uneasy beneath the earth.
For centuries, Europe was a divided continent with countless wars and infinite redefinitions of shared borders. It briefly seemed as though the First World War would be the very last, the “war to end all wars”. Ultimately, however, those years planted the first seeds of the Second World War. Long-lasting peace, prosperity and progress did not come to Europe until after 1945. The establishment of the European Community was envisioned as an affirmation of permanent peace in Europe. With the recent situation surrounding Brexit and the surge in nationalist, anti-European movements in various European countries, it seems that the awareness of the importance of unity stands on shaky ground again. The traces of a history of war seem to be fading rapidly from memory. | 0.6 | medium | 4 | 598 | [
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09e52845-5706-468f-a35f-f7eb62cb518a | SaferJourno free open-source curriculum | life_skills | tutorial | SaferJourno is a free and open-source curriculum guide for media trainers who teach students, professionals and peers digital safety and online security. Easy to use lesson plans are in six different modules; assessing risks, basic protection, mobile phone safety, keeping data safe, researching securely, and protecting email. The toolkit starts with a trainer’s guide, which walks journalism and media trainers through adult teaching and learning approaches.
The guide aims to make the teaching of these sometimes complex issues to busy professionals, easier to navigate. The curriculum for the toolkit was created by Internews with experts from the increasingly overlapping fields of journalism and cybersafety and in response to requests from colleagues and friends around the world looking for ways to more effectively teach and share these critically important skills. The toolkit was field-tested in Nairobi, Kenya and peer-reviewed by leading experts in the digital security and journalism fields. It aims to help journalists, and the trainers and educators who work with them, integrate the fundamentals of digital safety into their craft and daily practice of journalism.
Download the toolkit, SaferJourno | 0.6 | high | 5 | 221 | [
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5bcf85ef-33e6-4655-8ef5-f375fc1edcb7 | Zero Emissions Power Generation | science | historical_context | Zero Emissions Power Generation
Clean Energy Systems has developed game-changing technology that is revolutionizing the power industry by eliminating the traditional power plant stack and making zero-emission power plants a standard installation.
Based on proven rocket technology, the CES oxy-fuel combustor produces clean, high-energy drive gases for the generation of electrical power. The incorporation of oxy-fuel combustion technology into conventional power generation systems makes zero-emissions power plants (ZEPPs) based on fossil fuels practical today.
ZEPPs have multiple advantages, including compact and lower cost equipment, greater cycle efficiencies with advanced turbines, complete carbon capture and sequestration of the carbon dioxide (CO2) effluent, and zero emissions (or ultra-low emissions when the exhaust is vented to the atmosphere as in a peaking power plant).
Zero Emission Power Plants (ZEPP)
Lower power costs combined with improved plant efficiencies and zero atmospheric pollution used to be a dream. Now it's a reality. Clean Energy Systems has developed an oxy-fuel combustion technology that uses pure oxygen to combust natural gas or other fuels in a manner that produces clean power, commercial CO2, and clean water -- with zero emissions released to the atmosphere.
A key advantage of oxy-fuel combustion over air-based combustion is that higher turbine efficiencies are achieved. To utilize the higher temperature gas stream from the oxy-fuel generator, CES developed an entirely new generation of power turbines. Using these new power turbines, the CES process can result in a 20 percent increase in power production when compared to a conventional power plant utilizing the same quantity of fuel. Greater power production per unit of fuel results in lower costs and less dependency on global energy providers.
As the United States and European nations implement greenhouse gas (GHG) reduction standards and more stringent NOx requirements, ZEPPs are becoming increasingly important. Current regulations in the State of California require an 80 percent reduction in GHG emissions from 1990 levels by 2050. An extensive study to determine the necessary technologies to achieve this level of reduction identified carbon capture and sequestration (CCS) power generation as critical technologies that must be realized if these reductions are to be achieved. Today, CES oxy-fuel power plants are capable of providing 100 percent CCS power generation at competitive power costs, making California GHG reductions readily achievable.
- Generates power with zero emissions to the atmosphere.
- Utilizes natural gas, syngas, biomass, and other fuels.
- Occupies a small physical footprint.
- Creates both peaking and base load power.
- Backed by strong strategic partners.
- Generates CO2 for enhanced oil recovery (EOR).
- Produces water for community use.
Zero Emission Load Balancing (ZELB)
Currently, the main function of natural gas power generation is load balancing between the base load generation from nuclear and coal plants and the intermittent swings of the preferred wind/solar power plants. As federal and state governments emphasize renewable energy and lower greenhouse gas (GHG) emissions, the role of natural gas as an intermittent power source will be at risk. According to a recent study published by the California Council on Science and Technology, "the use of natural gas (without CCS) to balance variability in electric generation units will eat up a significant fraction of the GHG target allocated to the energy sector if the 2050 goals are to be met."
With natural gas GHG emissions becoming increasingly problematic, other sources of power will become preferred alternatives to natural gas generation. These power sources include pumped hydro, compressed air, energy storage, flywheels, off-peak hydrogen, end-use energy storage, and various battery designs. Regulators are already moving toward establishing rate-making tariffs that encourage these power sources over traditional natural gas generation. The problem is that these sources of power are more expensive than natural gas.
ZELB power turbines provide the same operating flexibility as traditional power turbines but avoid the complications that non-ZELB power turbines will present as they become difficult to dispatch under stringent GHG/NOx emissions restrictions. Combining zero-emission load balancing (ZELB) natural gas power turbines with robust renewable energy resources will provide a reliable grid that is cost-effective for consumers.
ZELB facilities are similar to ZEPPs except that the CO2 generated by ZELB systems is sequestered in abandoned oil and gas reservoirs and in saline formations. In recent studies, the United States Department of Energy and others have identified extensive CO2 storage capacity in well-characterized, abandoned oil and gas reservoirs and saline formations across the U.S. These storage reservoirs can provide decades of storage capacity through the twenty-first century and beyond. | 0.7 | medium | 6 | 976 | [
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e662be4d-60a2-429f-b268-bce31b463e09 | usually associate robotics tasks | interdisciplinary | historical_context | We usually associate robotics with tasks that are, if not high tech, at least modern in nature. That’s why it’s so cool to see a robot being adapted for a task that is explicitly ancient: scraping away at animal skins with replicas of stone tools found at archaeological sites.
Radu Iovita, an archaeologist at the Monrepos Research Center in Neuwied, Germany, studies microscopic wear patterns on ancient stone tools to try to determine how they were used. The conventional way to do this wear analysis is to make a fresh copy of the stone tool that you’re looking at, and then scrape a bunch of animal hides with it using the technique that you’ve guessed was used on the original. If, after a while, your new stone tool shows the same sort of wear pattern that the old stone tool does, you can have some level of confidence that you’ve been using the same technique. If the wear pattern is different, you make a new tool and try again.
This, to put it mildly, can take a while, and Iovita wanted to find a way to standardize and expedite the process. And so, robots. Iovita enlisted the help of professor Jonas Buchli at ETH Zurich, who conscripted a Kuka lightweight robot arm to precisely scrape tools against animal hides over and over, and after every 50th scrape, put the edge of the tool under a microscope to record the wear patterns. This video is decidedly in German, but it does show how the robot works (at 1:40):
The hope is that eventually, a fleet of robots will be able to develop a massive database of tools anywhere from 50,000 to 3 million years old that correlates different types of tools, techniques, wear patterns, and usage characteristics. But according to an article about Iovita’s work, not everyone is ready to embrace robotic archaeology:
Currently, Iovita is experiencing some opposition from within his own profession. Some believe that manual experiments are closer to the past reality; others find that use-wear analysis in general does not advance archaeological theory. Iovita thinks this is mainly due to the fact that most archaeologists have a humanities background and are not familiar with the world of engineers.
And as to the first point, it raises the question of what “manual” really means. According to my girlfriend’s 15-pound Compact Edition of the Oxford English Dictionary (which can only be read with a magnifying glass), “manual” means “done or performed with the hands.” The first recorded definition, however, is from a 1406 poem called La Male Regle, which is slightly before the introduction of Kuka’s lightweight robotic arms. So, it seems likely that Thomas Hoccleve (this dude) neglected to consider them when he wrote La Male Regle. We can forgive him for that, I guess.
“Manual” also means “as opposed to automatic,” and if you put these two definitions together, it’s pretty clear that manual experiments aren’t supposed be compatible with things like robots, but in my opinion, this perspective is as outdated as La Male Regle. What this robot is doing is manual, as far as the stone and leather are concerned, since it’s precisely replicating the motions and forces generated by a human hand. The fact that it isn’t a human hand doesn’t, in practice, matter, since any characteristic of a human hand can be programmed into the robot.
What’s particularly interesting to me about applications like these is how it potentially changes the meaning of the word “handmade.” Like, if you have a robot mimicking the motions of a human hand to complete a task or create an object such that if you performed a sort of Turing Test and couldn’t tell a robotic result from a human result, would you then be forced to call objects created by robots “handmade?”
For example, take that robot chef from last Friday that can exactly duplicate the motions of a human chef to create a nearly identical copy of a crab bisque. Is the crab bisque made by the robot any less “handmade” than the one made by the human chef? I suppose you could argue that handmade instead should refer to something that is “unique,” but it would be trivial to incorporate some minor elements of randomness into the programming of a robot to duplicate that process, whether it’s for scraping tools against leather or preparing soup.
Anyway, as far as the archaeological stuff, the researchers are confident that within a decade, robotic experimentation like this will become the standard. We’re pretty sure they’re right.
Via [ ETH Zurich ] | 0.55 | medium | 4 | 970 | [
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651a5534-1bd8-41ff-b717-212e224f8992 | December 1943, Germany launched | technology | proof | On December 2, 1943, Germany launched an air attack on the Italian town of Bari on the Adriatic coast. The town was important strategically as it was a major shipping port. It was a carefully planned surprise attack involving more than 100 aircraft of the German Luftflotte 2. The planes, which were fast moving Junkers Ju 88 bombers, hit their targets. In the raid which lasted just over an hour, they sank 27 ships, both military and civilian including transporters and cargo ships as well as a schooner.
The port was put out of action for over a year as a result of the damage. An unintended consequence of the attack was a large number of causalities suffering from mustard gas poisoning. Unfortunately, one of the wrecked ships contained a secret cargo of mustard bombs, and the poisonous gas was released into the air and sea as the ship broke up.
Little Pearl Harbor
The attack is sometimes referred to as “Little Pearl Harbor” because the allies were taken completely by surprise. They did not see the port as a likely target for attack. Not only was it inadequately protected but the harbor lights which were on through the night to help with loading and unloading ships marked the area out perfectly for the German bombers.
The Allies lost 17 ships – only one less than at Pearl Harbor. The Port of Bari had been taken without resistance by the Allies on September 11, 1943. However, despite the port’s strategic importance as a means of bringing provisions and ammunition into the country, the Allies had failed to defend it adequately from a possible air attack.
The most famous ship lost in the raid was the SS John Harvey: a US Liberty Ship. It had arrived in Bari with a cargo of 2,000 bombs each containing 60 to 70lbs of mustard gas.
As the port was already packed with ships all waiting their turn to unload, the ship’s commander Captain Elwin F Knowes faced a dilemma. He was aware of his deadly cargo and wanted to offload it as quickly as possible. However, he could not let the port authorities know what the ship carried. Mustard gas had been prohibited by the Geneva Protocol of 1925 following its use in WW1.
He decided to wait his turn. Had he told the harbor master he would have risked being court-martialed for releasing top secret information so not surprisingly he said nothing. Although made for a good reason it was a decision which would turn out to have serious consequences.
The Air Raid
The Luftflotte made their attack on Bari Harbor, and the SS John Harvey was one of their targets. When the ship was hit, there was a massive explosion and the liquid sulfur contained in the bombs was released. It caused contamination of the sea where those who were escaping the sinking ships were trying to swim to safety.
As a result, they swallowed the poisoned water and contaminated their skin and clothes. Simple measures like washing and changing their clothing would have helped to reduce the number of injuries and fatalities. However, they did not know what they were dealing with as initially there was no visible sign of contamination.
The symptoms of mustard gas poisoning start to develop in the 24 hours following contact. The explosion also resulted in a giant cloud of toxic vapor which fell on the decks of the ships which survived the attack as well as blowing across the city.
One ship, which had survived the attack at Bari – the HMS Bicester – set off for the port at Taranto shortly afterward. By the time they arrived the mustard gas that had fallen on the deck of their ship had started to take effect. They had to request help to steer the ship into the harbor as conjunctivitis had temporarily blinded the crew as a result of their exposure.
The biggest problem faced by the medical staff trying to treat the victims of the mustard gas was that no one knew the cause of their injuries. Medics were confused by the mysterious symptoms which included breathing difficulties, blisters on the skin and visual problems due to conjunctivitis and a strange garlic-like odor. They were not aware of the effects of chemical weapons and had no experience in dealing with them. Almost all the crew from the John Harvey had been lost in the raid so they could not provide the information needed to treat the patients effectively.
Despite the fact that people were suffering from the effects of the gas poisoning and the local doctors did not know how to treat them, the US was initially determined to keep the presence of the bombs secret. They sent an army surgeon to the scene. Dr. Stewart F. Alexander recognized the symptoms, and the injured were able to get appropriate treatment. Dr. Alexander was later commended for his work treating the victims of the attack.
The Allies had tried to conceal the truth as they were afraid that if the Axis found out about their secret weapon, it could escalate the risk of serious chemical warfare. The Allies eventually admitted they had developed the mustard bomb to be used in defense, not as the first line of attack.
Despite this admission, deaths resulting from the Allies mustard bombs at Bari were registered as “burns due to enemy action.”
Perhaps the only positive thing to come from the incident was that samples of tissue from autopsies were preserved for research purposes. These were used to help develop the drug based on sulfur mustard which would become one of the first chemotherapy drugs used in the treatment of cancer. | 0.65 | medium | 4 | 1,129 | [
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97a936d4-eaea-49f0-a62b-64608f758bde | Echoes Interaction: Quantum Gases | interdisciplinary | historical_context | ## The Echoes of Interaction: From Quantum Gases to Abstract Spaces ### Shared Pattern: The Essence of Emergence from Local Interactions At its heart, both Many-Body Theory in physics and Functional Analysis in mathematics grapple with a fundamental question: **How do complex, collective behaviors emerge from the interactions of individual components?** In Many-Body Theory, these components are typically particles – electrons, atoms, photons – interacting through fundamental forces. The challenge is to understand the properties of the system as a whole, which often differ dramatically from the properties of the individual particles. Think of a single water molecule versus a vast ocean; the ocean exhibits wave motion, tides, and currents, phenomena entirely absent in the isolated molecule. Functional Analysis, on the other hand, deals with spaces of functions, which can be thought of as infinite collections of "components" (the functions themselves). The "interactions" here are often defined by mathematical operations, norms, or inner products that measure relationships between these functions. The goal is to understand the structure and properties of these function spaces, and how transformations or operators act upon them, revealing emergent properties of the collective. ### The Surprising Connection: Hilbert Spaces as the Universal Stage The surprising and deeply insightful connection lies in the fact that the mathematical framework often employed in Many-Body Theory to describe the collective state of interacting particles is precisely the **Hilbert space**, a central object of study in Functional Analysis. It’s not immediately obvious because one deals with tangible physical particles governed by quantum mechanics, while the other explores abstract mathematical spaces populated by functions. However, the quantum mechanical description of a system of *N* particles requires a state vector residing in a Hilbert space of dimension $3N$ (or $3N$ if we consider spin, or even higher if we include other degrees of freedom). The complexity arises because these particles interact, meaning their individual states are not independent. The system's overall state is a single, entangled vector in this vast Hilbert space. Functional Analysis provides the tools to rigorously define and manipulate these infinite-dimensional spaces (often the Hilbert space of square-integrable functions, $L^2$), and to study the operators that represent physical observables (like energy, momentum, position) acting on these states. The "interactions" in Many-Body Theory translate into specific forms of these operators. The challenge of Many-Body Theory – finding the allowed energy states (eigenstates) and their corresponding energies (eigenvalues) of the Hamiltonian operator – becomes a problem of spectral analysis within the Hilbert space, a core concern of Functional Analysis. ### Illustrative Example: The Harmonic Oscillator Chain Let's consider a simple, yet powerful example: a chain of coupled harmonic oscillators. Imagine a line of identical masses connected by springs. **Many-Body Theory Perspective:** We want to understand the collective vibrational modes of this system. Each mass can oscillate, and its motion is influenced by its neighbors through the springs. * **Components:** The individual masses, each with its own position and momentum. * **Interactions:** The springs connecting the masses, exerting forces based on their displacement. * **The Goal:** To find the normal modes of vibration – specific patterns of collective motion where all masses oscillate with the same frequency. The Hamiltonian for this system, describing its total energy, can be written in terms of the positions ($q_i$) and momenta ($p_i$) of the $N$ masses. A typical form might look like: $H = \sum_{i=1}^N \frac{p_i^2}{2m} + \frac{1}{2} k q_i^2 + \frac{1}{2} K (q_{i+1} - q_i)^2$ where $m$ is the mass of each oscillator, $k$ is the spring constant for the internal oscillator, and $K$ is the spring constant for the coupling springs. **Functional Analysis Perspective:** We can represent the state of the system by a vector in a Hilbert space. For a system of $N$ particles, each with a position in 1D, the state is described by a wavefunction $\psi(q_1, q_2, \dots, q_N)$, which belongs to the Hilbert space $L^2(\mathbb{R}^N)$. The Hamiltonian $H$ is an operator acting on this space. The problem of finding the normal modes of vibration is equivalent to finding the eigenvalues and eigenvectors of the Hamiltonian operator. The eigenvectors represent the stationary states of the system, and their corresponding eigenvalues are the allowed energies. **Working in Tandem:** To solve this, we often perform a **transformation** that diagonalizes the Hamiltonian. This transformation is rooted in the principles of linear algebra and is deeply connected to the spectral theory of operators in Functional Analysis. 1. **Classical Mechanics Approach (leading to the quantum formulation):** In classical mechanics, we would set up the equations of motion and look for solutions of the form $q_i(t) = A_i e^{i\omega t}$. Substituting this into the equations of motion leads to a matrix eigenvalue problem. The eigenvalues of this matrix are the squares of the normal mode frequencies ($\omega^2$), and the eigenvectors describe the relative amplitudes of oscillation for each mass in a given normal mode. 2. **Quantum Field Theory / Many-Body Quantum Mechanics:** In the quantum realm, we use creation and annihilation operators, which act on the Fock space (a direct sum of Hilbert spaces representing different numbers of particles, but for a fixed number system, we work within a specific Hilbert space). These operators are defined in a way that simplifies the Hamiltonian. The transformation to normal modes is analogous to a change of basis in the Hilbert space. Let's simplify for the quantum harmonic oscillator. A single quantum harmonic oscillator has a Hamiltonian: $H_0 = \hbar \omega (a^\dagger a + \frac{1}{2})$, where $a^\dagger$ and $a$ are creation and annihilation operators. For the coupled chain, we can perform a **Fourier transform** (a unitary transformation in Hilbert space) on the creation and annihilation operators. This transforms the coupled oscillators into a set of *independent* quantum harmonic oscillators, each with its own characteristic frequency. These new frequencies are the normal mode frequencies derived classically. The key insight from Functional Analysis here is that this change of basis (Fourier transform) is a **unitary transformation** in the Hilbert space. Unitary transformations preserve the inner product and the norm of vectors, meaning they represent physically valid transformations of quantum states. They also preserve the spectral properties of operators in a fundamental way. The Hamiltonian, which was a complex, non-diagonal matrix (or operator) in the original basis, becomes a diagonal operator in the new basis, with the eigenvalues being the energies of the independent oscillators. The collective behavior of the interacting system is now understood as a superposition of these independent, collective modes. ### Reciprocal Learning: A Symbiotic Understanding Mastering Many-Body Theory significantly enhances one's appreciation and ability to utilize Functional Analysis, and vice versa. * **From Many-Body Theory to Functional Analysis:** When you encounter the need to describe the state of multiple interacting quantum particles, you are immediately thrust into the realm of Hilbert spaces. The physical intuition gained from understanding how particle states combine and interact provides concrete examples for abstract concepts like linear operators, spectral decomposition, and the importance of the inner product. The challenges in Many-Body Theory – like dealing with the exponential growth of the Hilbert space dimension with particle number (the "curse of dimensionality") – highlight the necessity for efficient analytical and numerical techniques developed within Functional Analysis. Understanding concepts like scattering theory or the properties of quantum fields intrinsically relies on the functional analytic tools for dealing with infinite-dimensional spaces and unbounded operators. * **From Functional Analysis to Many-Body Theory:** Conversely, a strong foundation in Functional Analysis provides the rigorous mathematical machinery to tackle the complexities of Many-Body Theory. Concepts like Hilbert spaces, Banach spaces, Fourier analysis, spectral theory, and the properties of various operators (self-adjoint, unitary, compact) are not just abstract tools; they are the very language needed to precisely formulate and solve problems in quantum mechanics and statistical physics. For instance, understanding the spectrum of the Hamiltonian operator is a direct application of Functional Analysis. The development of approximation methods in Many-Body Theory, such as perturbation theory or variational methods, often relies on the convergence properties of sequences of operators and vectors in functional spaces. ### Mathematical Foundation: Spectral Theorem and Unitary Transformations The core mathematical relationship underpinning this connection is the **Spectral Theorem for self-adjoint operators**. In Functional Analysis, this theorem states that for a self-adjoint operator $A$ on a Hilbert space $\mathcal{H}$, there exists a spectral measure $E$ such that $A = \int_{\mathbb{R}} \lambda dE(\lambda)$. This means the operator can be understood by its "eigenvalues" (the $\lambda$'s) and the "eigenvectors" or "eigen-subspaces" they represent. In Many-Body Theory, the Hamiltonian operator $H$ is self-adjoint. The Spectral Theorem guarantees that we can find a basis of eigenvectors (or generalized eigenvectors for continuous spectra) that diagonalize $H$. This is precisely what the transformation to normal modes achieves in the harmonic oscillator chain example. The eigenvalues of $H$ are the possible energy levels of the system. Furthermore, the **Fourier transform** is a prime example of a **unitary transformation**. Unitary operators $U$ satisfy $U^\dagger U = UU^\dagger = I$, where $I$ is the identity operator. They preserve the inner product: $\langle U\psi_1, U\psi_2 \rangle = \langle \psi_1, \psi_2 \rangle$. This means that physical states remain physically meaningful after the transformation. The transformation to normal modes in the harmonic oscillator chain is a unitary transformation that simplifies the Hamiltonian by changing the basis of the Hilbert space. ### Universal Application and Implications: From Quantum Fluids to Signal Processing The pattern of emergent properties from local interactions, described and analyzed using the framework of functional spaces, is remarkably pervasive. * **Quantum Fluids (Superfluidity and Superconductivity):** In these states, a macroscopic number of particles behave coherently. Understanding the collective excitations (phonons, Bogoliubov quasiparticles) relies heavily on the spectral properties of operators acting on the many-body Hilbert space. * **Condensed Matter Physics:** The behavior of electrons in solids, leading to phenomena like band structures, insulators, and metals, is a direct consequence of the collective interactions of countless electrons within the crystal lattice. The Bloch theorem, for instance, describes electron wavefunctions as Bloch waves, which are essentially eigenfunctions of the periodic potential, a concept deeply rooted in spectral theory. * **Quantum Information and Computation:** The state of a quantum computer is a vector in a large Hilbert space. Operations on qubits are unitary transformations. Understanding entanglement and performing quantum computations require a deep understanding of the structure of these spaces and the operators acting on them. * **Signal Processing and Image Analysis:** In classical domains, Fourier analysis (a cornerstone of Functional Analysis) is ubiquitous. Decomposing a complex signal into its constituent frequencies is akin to finding the normal modes of a physical system. Techniques like wavelets, which are also studied within Functional Analysis, provide localized representations of signals, analogous to understanding localized excitations in physical systems. * **Economics and Social Sciences:** While more abstract, the idea of emergent behavior from individual agents' interactions can be modeled using similar mathematical frameworks. The "interactions" might be economic transactions or social influences, and the "collective behavior" could be market trends or public opinion shifts. The underlying mathematical structure of analyzing complex systems from constituent parts, though often employing different specific tools, shares the fundamental principle of emergence. In essence, the bridge between Many-Body Theory and Functional Analysis reveals a profound truth: the universe, whether at the quantum mechanical level or in abstract mathematical constructs, often organizes itself through interactions, and the language of functional spaces provides a powerful, unifying lens through which to understand these emergent phenomena. The rigorous mathematical framework of Functional Analysis gives us the tools to precisely describe and predict the collective dance of particles, while the physical intuition from Many-Body Theory provides tangible, compelling examples that illuminate the abstract beauty of these mathematical structures. | 0.7 | medium | 8 | 2,650 | [
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34a3b8da-6e45-4475-9243-bf50c7d4b6c8 | Bleeding Keyboard: Guide Modern | technology | tutorial | Bleeding at the Keyboard: A Guide to Modern Programming with Java
by Gregory J. E. Rawlins
Publisher: Indiana University 1999
Number of pages: 291
Bleeding at the Keyboard made its first appearance as a material developed for the Fall 1999 C212 class at Indiana University, Bloomington. In this book, Rawlins try to guide us step by step on learning Java with the analogy of theatrical performance. Here we have objects (actors), classes (roles the actors play), methods (scenes the actors play out), Java interpreter (stage managers and producers), programmers (screenwriters and directors) and user (audiences).
Home page url
Download or read it online for free here:
- University of KwaZulu-Natal
Contents: Class Level Design; Object Based Programming; Object Oriented Programming; Applets, HTML, and GUI's; Object Oriented Design; A Solitaire Game - Klondike; Advanced GUI Programming; Generic Programming and Collection Classes; and more.
by Monica Pawlan - Addison-Wesley Professional
This book will help you learn Java fast, hands-on, with as little complexity and theory as possible. The guide covers all the fundamentals by developing a simple program that gradually grows into a full-fledged eCommerce application.
by Yakov Fain
Written for kids from 11 to 80 years old and for school computer teachers, parents who want to get their child into the world of computer programming and college students who are looking for a supplement to overcomplicated textbooks.
by Jeff Heaton - Heaton Research, Inc.
The book teaches Java to someone with absolutely no programming background. It focuses on core programming topics such as variables, looping, subroutines, and program layout. This course focuses on real programming techniques, and not using an IDE. | 0.75 | high | 6 | 394 | [
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893d12e9-486e-4602-8a4d-d8819097b56d | use passive biocathodes potentially | science | research_summary | The use of passive biocathodes could potentially hold the key to producing an environmentally sustainable approach for achieving combined waste water treatment and water desalinization, researchers at Mississippi State University have indicated.
Current world population now exceeds 7 billion. As this number continues to grow, so does the demand for fresh water resources. Ensuring access to clean water supplies is now a major priority across the planet. A key factor governing this is the approach taken to achieve effective wastewater treatment and water desalination.
Wastewater treatment is commonly achieved through activated sludge treatment utilising biochemical reaction and physical separation, while desalination can be achieved through thermal evaporation or membrane separation. However, both of these approaches are intensive in terms of cost and energy usage and also emit CO2. There is a need to develop methods where external energy consumption is minimized and energy recovery can be optimized.
Microbial desalination cells (MDCs) are a recent technological innovation where simultaneous wastewater treatment and desalination are achieved. In such bioelectrochemical cells, chemical catholytes such as ferricyanide are commonly used. However, these are not suitable for large-scale usage due to the prohibitive cost, large energy demands and environmental toxicity issues.
Another option is to use air-cathodes, which utilize oxygen as a thermal electron acceptor. However, these can suffer from slower redox kinetics, requiring the use of expensive catalysts, and large energy requirements to maintain aeration levels. A more sustainable and financially viable approach could therefore be to use biological cathodes, which utilise microorganisms as biocatalysts.
In this study by Bahareh Kokabian and Veera Gnaneswar Gude, which featured as the cover article for Issue 12, Vol 15 of Environmental Science: Processes & Impacts, the performance of an MDC with a conventional air-cathode and a photosynthetic microbial desalination cell (PMDC) utilising the microalgae Chlorella vulgaris were evaluated for their performance in terms of COD removal, desalination and energy generation from sewage sludge. This represents the first study of its kind to be attempted.
The results indicate that PMDCs can perform better than air-cathodes and as well as other conventional MDCs. COD removal of 66% and 57% were measured for the PMDC and air-cathode MDC respectively. Desalination rates were also enhanced, with levels of 40% measured for the PMDC and 24% for the air-cathode MDC.
Maximum voltage produced was higher for the PMDC (0.236 V) than for the air-cathode MDC (0.219 V). Moreover, the PMDC produces longer, more stable voltage, unlike conventional cathodes where potential reduction occurs after a time. Furthermore, it was shown that only 55% of the cathode volume was utilised, indicating that power production and desalination rates could be further improved if the MDC reactor design and electrode/material configuration are optimized.
Algae biocathodes in PMDCs provide the advantage of a continuous supply of electron acceptors and omit the need for additional chemical transport, storage, dosing, and post-treatment. The biochemical nature of the process also means the wastewater is essentially treated as a growth medium, producing valuable algal biomass, which could be used to obtain constructive products such as biogas, biohydrogen and biofuels.
This study therefore demonstrates that the use of PMDCs can provide an environmentally benign approach to wastewater treatment in which algae act as an in situ generator of oxygen. This has the potential to be beneficial in enhancing environmental and economic sustainability of water treatment whilst helping to improve COD removal, desalination and energy recovery in the same process.
This HOT paper is available to download through the following link:
Photosynthetic microbial desalination cells (PMDCs) for clean energy, water and biomass production, Bahareh Kokabian and Veera Gnaneswar Gude. DOI: 10.1039/c3em00415e | 0.6 | medium | 4 | 833 | [
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a02afa05-5192-435e-9e3d-cc11d94c21ed | Let's dive into fascinating | interdisciplinary | problem_set | Let's dive into the fascinating world of thermodynamics with Julia! Thermodynamics is all about energy, heat, work, and how they relate to physical systems. To start, what fundamental laws govern these energy transformations? And how can we represent these laws in a way that a computer can understand and calculate? Consider this: if we want to model a simple system, like a gas in a container, what properties would we need to track? Temperature? Pressure? Volume? Let's begin by implementing some core thermodynamic concepts. We'll create a structure to represent a thermodynamic system and then define functions to calculate key properties and work done. ```Julia # thermodynamics Implementation # Description: This code provides a foundational implementation for simulating thermodynamic processes. # It defines a `System` struct to hold thermodynamic properties and includes functions # to calculate work done during isobaric and isothermal processes, along with basic # error handling for invalid inputs. """ System Represents a thermodynamic system with its key properties. # Fields - `pressure::Float64`: The pressure of the system (e.g., in Pascals). - `volume::Float64`: The volume of the system (e.g., in cubic meters). - `temperature::Float64`: The temperature of the system (e.g., in Kelvin). - `n_moles::Float64`: The number of moles of substance in the system. """ mutable struct System pressure::Float64 volume::Float64 temperature::Float64 n_moles::Float64 # Constructor with validation function System(pressure::Float64, volume::Float64, temperature::Float64, n_moles::Float64) if pressure <= 0.0 error("Pressure must be positive.") end if volume <= 0.0 error("Volume must be positive.") end if temperature < 0.0 error("Temperature must be non-negative (absolute zero).") end if n_moles < 0.0 error("Number of moles cannot be negative.") end new(pressure, volume, temperature, n_moles) end end # Universal gas constant (in J/(mol·K)) const R_GAS = 8.31446261815324 """ calculate_ideal_gas_pressure(system::System) Calculates the pressure of an ideal gas using the ideal gas law (PV = nRT). This function can be used to verify or derive pressure if other properties are known. # Arguments - `system::System`: The thermodynamic system. # Returns - `Float64`: The calculated pressure of the ideal gas. """ function calculate_ideal_gas_pressure(system::System) # What if we only knew volume, temperature, and moles? How would we find pressure? # The ideal gas law comes to mind: PV = nRT. # So, P = nRT / V. Let's implement that. return (system.n_moles * R_GAS * system.temperature) / system.volume end """ calculate_work_isobaric(system::System, delta_volume::Float64) Calculates the work done by a system during an isobaric (constant pressure) process. Work done (W) = P * ΔV. # Arguments - `system::System`: The thermodynamic system. - `delta_volume::Float64`: The change in volume (final_volume - initial_volume). # Returns - `Float64`: The work done by the system. """ function calculate_work_isobaric(system::System, delta_volume::Float64) # During an isobaric process, the pressure remains constant. # How is work defined in such a scenario? # It's often thought of as the pressure multiplied by the change in volume. # W = P * ΔV. Let's use the system's current pressure. return system.pressure * delta_volume end """ calculate_work_isothermal(system::System, final_volume::Float64) Calculates the work done by a system during an isothermal (constant temperature) process for an ideal gas. Work done (W) = nRT * ln(V_final / V_initial). # Arguments - `system::System`: The thermodynamic system. - `final_volume::Float64`: The final volume of the system. # Returns - `Float64`: The work done by the system. # Throws - `DomainError`: If `final_volume` is not positive or if `system.volume` is not positive. """ function calculate_work_isothermal(system::System, final_volume::Float64) # For an isothermal process with an ideal gas, the temperature is constant. # How does the work calculation differ here compared to isobaric? # The pressure changes as volume changes (PV = constant). # The integral of P dV from V_initial to V_final gives us the work. # For an ideal gas, P = nRT/V. So, W = ∫(nRT/V) dV = nRT * ln(V_final/V_initial). initial_volume = system.volume # What are the potential issues with calculating a logarithm? # We need to ensure the arguments are valid. if initial_volume <= 0.0 throw(DomainError(initial_volume, "Initial volume must be positive for isothermal work calculation.")) end if final_volume <= 0.0 throw(DomainError(final_volume, "Final volume must be positive for isothermal work calculation.")) end return system.n_moles * R_GAS * system.temperature * log(final_volume / initial_volume) end # Example usage: # --- Test Case 1: Isobaric Expansion --- # Let's consider a system where pressure is held constant. println("--- Test Case 1: Isobaric Expansion ---") try # Initialize a system: 1 mole of gas at 1 atm (approx 101325 Pa) and 300 K. # Let's assume an initial volume that corresponds to these conditions for simplicity, # though the work calculation only needs the initial pressure and volume change. # For demonstration, let's set an initial volume. initial_system_iso = System(101325.0, 0.0244, 300.0, 1.0) # Approx 1 atm, 0.0244 m^3, 300 K, 1 mole # If the system expands by 0.01 m^3 at constant pressure, how much work is done? delta_v_iso = 0.01 # m^3 work_iso = calculate_work_isobaric(initial_system_iso, delta_v_iso) println("Initial System (Isobaric): Pressure = $(initial_system_iso.pressure) Pa, Volume = $(initial_system_iso.volume) m^3, Temperature = $(initial_system_iso.temperature) K, Moles = $(initial_system_iso.n_moles)") println("Change in Volume (Isobaric): $(delta_v_iso) m^3") println("Work done (Isobaric): $(work_iso) Joules") # Expected output: Work = P * ΔV = 101325.0 Pa * 0.01 m^3 = 1013.25 Joules println("Expected Work (Isobaric): 1013.25 Joules") catch e println("Error in Test Case 1: ", e) end println("\n") # --- Test Case 2: Isothermal Compression --- # Now, let's explore an isothermal process where temperature is constant. println("--- Test Case 2: Isothermal Compression ---") try # Initialize a system: 2 moles of gas at 2 atm (approx 202650 Pa) and 400 K. # Let's set an initial volume. initial_system_iso_thermo = System(202650.0, 0.0492, 400.0, 2.0) # Approx 2 atm, 0.0492 m^3, 400 K, 2 moles # If this system is compressed isothermally to half its initial volume, what is the work done? final_v_iso_thermo = initial_system_iso_thermo.volume / 2.0 # Half the initial volume work_iso_thermo = calculate_work_isothermal(initial_system_iso_thermo, final_v_iso_thermo) println("Initial System (Isothermal): Pressure = $(initial_system_iso_thermo.pressure) Pa, Volume = $(initial_system_iso_thermo.volume) m^3, Temperature = $(initial_system_iso_thermo.temperature) K, Moles = $(initial_system_iso_thermo.n_moles)") println("Final Volume (Isothermal): $(final_v_iso_thermo) m^3") println("Work done (Isothermal): $(work_iso_thermo) Joules") # Let's verify using the formula: W = nRT * ln(V_final / V_initial) # W = 2.0 * 8.31446261815324 * 400.0 * log(0.5) # W ≈ 6651.57 * (-0.693147) ≈ -4609.7 Joules expected_work_iso_thermo = 2.0 * R_GAS * 400.0 * log(0.5) println("Expected Work (Isothermal): $(expected_work_iso_thermo) Joules") catch e println("Error in Test Case 2: ", e) end println("\n") # --- Test Case 3: Invalid Input Handling --- # What happens if we provide invalid data? Let's test our error handling. println("--- Test Case 3: Invalid Input Handling ---") try # Attempt to create a system with negative volume invalid_system = System(100000.0, -0.01, 300.0, 1.0) println("Successfully created invalid system (this should not happen).") catch e println("Caught expected error for invalid volume: ", e) end try # Attempt to calculate isothermal work with non-positive final volume valid_system = System(100000.0, 0.02, 300.0, 1.0) calculate_work_isothermal(valid_system, 0.0) # Zero final volume println("Successfully calculated isothermal work with zero final volume (this should not happen).") catch e println("Caught expected error for zero final volume in isothermal work: ", e) end println("\n") ``` So far, we've laid the groundwork by defining a `System` and implementing work calculations for two common processes: isobaric and isothermal. Now, consider the first law of thermodynamics: ΔU = Q - W. This relates the change in internal energy (ΔU) to heat (Q) added to the system and work (W) done by the system. How might we extend our `System` struct and add functions to incorporate heat transfer and internal energy changes? What additional properties or constants might be needed for different types of substances (e.g., specific heat capacity)? | 0.6 | medium | 8 | 2,530 | [
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c4e592e9-dde3-4104-b9ee-c730b1ab5085 | ```Go assistive_technology Implementation Description | technology | creative_writing | ```Go # assistive_technology Implementation # Description: This Go program implements a basic assistive technology feature: a case converter. # It demonstrates the conversion of input strings to uppercase and lowercase, # illustrating fundamental string manipulation algorithms. package main import ( "fmt" "strings" ) // ConvertToUppercase converts a given string to its uppercase equivalent. // // Mathematical Definition: // Let S be an input string, S = s_1 s_2 ... s_n, where s_i is the i-th character. // The uppercase conversion function U(S) transforms each character s_i to its // corresponding uppercase character u(s_i). If s_i is already an uppercase // character or a non-alphabetic character, it remains unchanged. // // Formally, for each character c in S: // if c is a lowercase letter (e.g., 'a' through 'z'), then u(c) is its // corresponding uppercase letter (e.g., 'A' through 'Z'). // otherwise, u(c) = c. // // The resulting string is U(S) = u(s_1) u(s_2) ... u(s_n). // // Algorithm: // The implementation utilizes the `strings.ToUpper` function from Go's standard library, // which efficiently handles the character-by-character conversion based on Unicode principles. // // Error Handling: // This function does not inherently produce errors for valid string inputs. // The `strings.ToUpper` function is robust and handles various Unicode characters. // Edge cases such as empty strings are handled gracefully, returning an empty string. func ConvertToUppercase(input string) string { // The `strings.ToUpper` function performs the conversion. // It iterates through the string and applies the uppercase mapping for each character. // This operation has a time complexity of O(n), where n is the length of the input string, // as each character needs to be examined and potentially transformed. return strings.ToUpper(input) } // ConvertToLowercase converts a given string to its lowercase equivalent. // // Mathematical Definition: // Let S be an input string, S = s_1 s_2 ... s_n, where s_i is the i-th character. // The lowercase conversion function L(S) transforms each character s_i to its // corresponding lowercase character l(s_i). If s_i is already a lowercase // character or a non-alphabetic character, it remains unchanged. // // Formally, for each character c in S: // if c is an uppercase letter (e.g., 'A' through 'Z'), then l(c) is its // corresponding lowercase letter (e.g., 'a' through 'z'). // otherwise, l(c) = c. // // The resulting string is L(S) = l(s_1) l(s_2) ... l(s_n). // // Algorithm: // The implementation utilizes the `strings.ToLower` function from Go's standard library, // which efficiently handles the character-by-character conversion based on Unicode principles. // // Error Handling: // Similar to `ConvertToUppercase`, this function is robust for valid string inputs. // Empty strings are handled correctly, returning an empty string. func ConvertToLowercase(input string) string { // The `strings.ToLower` function performs the conversion. // This operation also has a time complexity of O(n), where n is the length of the input string. return strings.ToLower(input) } func main() { // The main function serves as an entry point for demonstrating the assistive technology features. // In a real-world application, this might be part of a larger UI or service. fmt.Println("Assistive Technology: Case Converter") } # Example usage: # Test Case 1: Standard mixed-case string # Input: "Hello World" # Expected Output: "HELLO WORLD" (for uppercase), "hello world" (for lowercase) # Explanation: Demonstrates conversion of both uppercase and lowercase letters. func testCase1() { input := "Hello World" expectedUpper := "HELLO WORLD" expectedLower := "hello world" actualUpper := ConvertToUppercase(input) actualLower := ConvertToLowercase(input) fmt.Printf("Test Case 1:\n") fmt.Printf(" Input: \"%s\"\n", input) fmt.Printf(" Expected Uppercase: \"%s\", Actual Uppercase: \"%s\"\n", expectedUpper, actualUpper) fmt.Printf(" Expected Lowercase: \"%s\", Actual Lowercase: \"%s\"\n", expectedLower, actualLower) if actualUpper == expectedUpper && actualLower == expectedLower { fmt.Println(" Result: PASSED") } else { fmt.Println(" Result: FAILED") } fmt.Println() } # Test Case 2: String with numbers and symbols # Input: "Assistive Tech 1.0!" # Expected Output: "ASSISTIVE TECH 1.0!" (for uppercase), "assistive tech 1.0!" (for lowercase) # Explanation: Verifies that non-alphabetic characters are preserved. func testCase2() { input := "Assistive Tech 1.0!" expectedUpper := "ASSISTIVE TECH 1.0!" expectedLower := "assistive tech 1.0!" actualUpper := ConvertToUppercase(input) actualLower := ConvertToLowercase(input) fmt.Printf("Test Case 2:\n") fmt.Printf(" Input: \"%s\"\n", input) fmt.Printf(" Expected Uppercase: \"%s\", Actual Uppercase: \"%s\"\n", expectedUpper, actualUpper) fmt.Printf(" Expected Lowercase: \"%s\", Actual Lowercase: \"%s\"\n", expectedLower, actualLower) if actualUpper == expectedUpper && actualLower == expectedLower { fmt.Println(" Result: PASSED") } else { fmt.Println(" Result: FAILED") } fmt.Println() } # Test Case 3: Empty string # Input: "" # Expected Output: "" (for both uppercase and lowercase) # Explanation: Tests the edge case of an empty input string. func testCase3() { input := "" expectedUpper := "" expectedLower := "" actualUpper := ConvertToUppercase(input) actualLower := ConvertToLowercase(input) fmt.Printf("Test Case 3:\n") fmt.Printf(" Input: \"%s\"\n", input) fmt.Printf(" Expected Uppercase: \"%s\", Actual Uppercase: \"%s\"\n", expectedUpper, actualUpper) fmt.Printf(" Expected Lowercase: \"%s\", Actual Lowercase: \"%s\"\n", expectedLower, actualLower) if actualUpper == expectedUpper && actualLower == expectedLower { fmt.Println(" Result: PASSED") } else { fmt.Println(" Result: FAILED") } fmt.Println() } func main() { fmt.Println("--- Running Assistive Technology Examples ---") testCase1() testCase2() testCase3() fmt.Println("--- Examples Complete ---") } ``` | 0.55 | low | 6 | 1,597 | [
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a046384e-a2d5-4036-a6aa-ddcf38c5e9d2 | ### Worked Examples: Proof | mathematics | proof | ### Worked Examples: Proof Theory Proof theory is a foundational area of mathematical logic that studies mathematical proofs themselves. It aims to formalize mathematical reasoning, analyze the structure of proofs, and understand the relationship between different logical systems and theories. Key concepts include formal systems, axioms, inference rules, and the properties of proofs such as consistency, completeness, and decidability. --- **Example 1: Foundation - Proving a Simple Proposition in Propositional Logic** **Problem Statement:** Prove that the implication $(P \land Q) \to P$ is a tautology using a natural deduction system. **Solution Steps:** 1. **Understand the Goal:** We need to construct a formal derivation (a proof) that shows the statement $(P \land Q) \to P$ is true in all interpretations of the propositional variables $P$ and $Q$. In natural deduction, this means deriving $P$ from the assumption $P \land Q$. 2. **Identify the Main Connective:** The main connective of the statement to be proven is the implication $\to$. To prove an implication $A \to B$, we typically assume $A$ and then derive $B$. 3. **Set up the Proof Structure:** * We will assume the antecedent of the main implication, which is $P \land Q$. * Our goal is to derive the consequent, which is $P$. * The structure will be: ``` 1. | P ∧ Q (Assumption) ... n. | P (Goal) n+1. (P ∧ Q) → P (Implication Introduction) ``` 4. **Apply Inference Rules to Reach the Goal:** * From the assumption $P \land Q$ (line 1), we can use the **Conjunction Elimination** (or $\land E$) rule. This rule states that if we have a conjunction $A \land B$, we can infer $A$ or infer $B$. * Applying $\land E$ to $P \land Q$ on line 1 allows us to derive $P$. 5. **Complete the Proof:** ``` 1. | P ∧ Q (Assumption) 2. | P (∧ E, 1) 3. (P ∧ Q) → P (→ I, 1-2) ``` * Line 2 is derived from line 1 using the Conjunction Elimination rule, extracting the left conjunct. * Line 3 is the final conclusion, derived using the **Implication Introduction** (or $\to$ I) rule. This rule states that if we can derive $B$ from the assumption $A$, then we can assert $A \to B$. The numbers 1-2 indicate that the assumption on line 1 was discharged in deriving line 2. **Key Insight:** This example demonstrates the fundamental strategy of proving implications in natural deduction: assume the antecedent and derive the consequent. It also showcases the basic inference rules of conjunction elimination and implication introduction, which are building blocks for more complex proofs. --- **Example 2: Application - Proving a Theorem in First-Order Logic** **Problem Statement:** Prove that for any function $f$ and any domain $D$, if $f$ is injective (one-to-one), then for any $x, y \in D$, if $f(x) = f(y)$, then $x = y$. Formal statement: $\forall x, y (f(x) = f(y) \to x = y)$. Assume the definition of injectivity is given as $\forall a, b (f(a) = f(b) \to a = b)$. **Solution Steps:** 1. **Formalize the Problem:** We are given the definition of injectivity: $\forall a, b (f(a) = f(b) \to a = b)$. We need to prove that this property holds for any $x, y$ in the domain. The statement to prove is effectively the definition itself, but we will demonstrate how to derive it formally. 2. **Identify Quantifiers and Main Connectives:** The statement to prove has universal quantifiers $\forall x, y$ and an implication $\to$ as the main connectives. 3. **Apply Quantifier Rules Strategically:** To prove a statement of the form $\forall x \phi(x)$, we typically introduce an arbitrary element (say, $c$) from the domain, assume $\phi(c)$, and then derive the conclusion. Similarly for $\forall y$. To prove $A \to B$, we assume $A$ and derive $B$. 4. **Construct the Proof:** * We will start by introducing arbitrary elements $x$ and $y$ from the domain. * We will assume the premise $f(x) = f(y)$. * Our goal is to derive $x = y$. ``` 1. ∀a, b (f(a) = f(b) → a = b) (Given Axiom/Definition of Injectivity) 2. | f(x) = f(y) (Assumption for →I) 3. | | f(c) = f(d) (Assumption for ∀I for 'a') 4. | | c = d (∀E, 1 applied to c, d) 5. | | f(c) = f(d) → c = d (→I, 3-4) 6. | ∀b (f(c) = f(b) → c = b) (∀I, 5 applied to 'b') 7. | ∀a, b (f(a) = f(b) → a = b) (∀I, 6 applied to 'c') 8. f(x) = f(y) → x = y (∀E, 7 applied to x, y) ``` * **Wait!** This is not the most efficient way. The above shows how to derive the statement from itself, which is trivial. A better approach is to assume the definition and then show it applies to specific $x, y$. **Revised Solution Steps (More Direct):** 1. **Start with the Definition:** We are given the formal definition of injectivity: $\forall a, b (f(a) = f(b) \to a = b)$. 2. **Introduce Arbitrary Elements:** To show that this property holds for *any* $x$ and $y$, we can use the **Universal Elimination** ($\forall E$) rule. This rule allows us to instantiate a universally quantified statement with any term from the domain. 3. **Apply Universal Elimination:** * From $\forall a, b (f(a) = f(b) \to a = b)$ (line 1), we can apply $\forall E$ to eliminate the quantifier for $a$, replacing $a$ with a specific, but arbitrary, term (let's call it $x$). This yields: $\forall b (f(x) = f(b) \to x = b)$. * Now, from $\forall b (f(x) = f(b) \to x = b)$, we can apply $\forall E$ again to eliminate the quantifier for $b$, replacing $b$ with another specific, but arbitrary, term (let's call it $y$). This yields: $f(x) = f(y) \to x = y$. 4. **Final Derivation:** ``` 1. ∀a, b (f(a) = f(b) → a = b) (Given Axiom/Definition of Injectivity) 2. ∀b (f(x) = f(b) → x = b) (∀E, 1 applied to 'a' as 'x') 3. f(x) = f(y) → x = y (∀E, 2 applied to 'b' as 'y') ``` **Alternative Approach (Using Assumptions for Clarity):** If we want to explicitly show the implication $f(x) = f(y) \to x = y$, we can use assumptions: ``` 1. ∀a, b (f(a) = f(b) → a = b) (Given Axiom/Definition of Injectivity) 2. | f(x) = f(y) (Assumption) 3. ∀b (f(x) = f(b) → x = b) (∀E, 1 applied to 'a' as 'x') 4. f(x) = f(y) → x = y (∀E, 3 applied to 'b' as 'y') 5. x = y (→E, 4 and 2) -- This step is incorrect as 4 is not directly used. Let's correct the alternative approach: 1. ∀a, b (f(a) = f(b) → a = b) (Given Axiom/Definition of Injectivity) 2. | f(x) = f(y) (Assumption) 3. ∀b (f(x) = f(b) → x = b) (∀E, 1 applied to 'a' as 'x') 4. f(x) = f(y) → x = y (∀E, 3 applied to 'b' as 'y') 5. x = y (→E, 4 and 2) -- This is still not quite right. The application of ∀E needs care. Corrected Alternative Approach: 1. ∀a, b (f(a) = f(b) → a = b) (Given Axiom/Definition of Injectivity) 2. | f(x) = f(y) (Assumption for →I) 3. | f(x) = f(y) → x = y (∀E, 1 applied to 'a' as 'x' and 'b' as 'y') 4. | x = y (→E, 3 and 2) 5. f(x) = f(y) → x = y (→I, 2-4) ``` This shows that if we assume $f(x)=f(y)$, we can derive $x=y$ using the general definition. **Key Insight:** This example highlights the crucial role of universal quantifiers and the **Universal Elimination** rule in applying general statements to specific (but arbitrary) instances. It also demonstrates how to structure proofs for implications involving quantified variables. The choice of whether to directly instantiate or use assumptions depends on the desired clarity and the specific proof system's rules. --- **Example 3: Advanced/Edge Case - Consistency Proof via Model Construction (Sketch)** **Problem Statement:** Sketch a proof that the set theory axiom $P$ is consistent, meaning there is no proof of falsehood (e.g., $\bot$) from $P$ and the axioms of first-order logic. **Solution Steps:** 1. **Understand Consistency:** Consistency in proof theory means that a formal system (or a set of axioms) does not allow for the derivation of a contradiction. A contradiction is typically represented by a statement $\bot$ (falsehood) or by deriving both a statement $A$ and its negation $\neg A$. 2. **Proof Method: Model Construction (Soundness of Inference Rules):** A common method to prove consistency is by constructing a model (an interpretation or a mathematical structure) in which all axioms of the system are true. If the inference rules of the system are sound (meaning they preserve truth), then if all axioms are true in a model, any statement provable from those axioms must also be true in that model. If falsehood ($\bot$) were provable, it would have to be true in the model, which is impossible. 3. **Sketch of Model Construction for a Simple Axiom Set:** * **System:** Let's consider a very simple propositional calculus with a single axiom $A$. * **Goal:** Prove consistency. * **Model:** We need to find an interpretation where $A$ is true. A truth assignment is a model. * **Construction:** * Define a truth assignment $\nu$ where $\nu(A) = \text{True}$. * For any propositional variables not in $A$, assign them arbitrarily (e.g., True). * **Verification:** * By construction, the axiom $A$ is true under $\nu$. * The inference rules of propositional logic (like Modus Ponens) are sound: if the premises are true under $\nu$, the conclusion is also true under $\nu$. * Therefore, any statement provable from $A$ must also be true under $\nu$. * Since $\bot$ is never true under any truth assignment, it cannot be proven from $A$. Thus, the system is consistent. 4. **Applying to Set Theory (Conceptual):** For a more complex system like Zermelo-Fraenkel set theory (ZF), proving consistency is much harder. It typically involves constructing models of ZF, such as the cumulative hierarchy ($V_\alpha$). * **Axiom Set:** ZF axioms. * **Goal:** Prove consistency of ZF. * **Model Construction (Conceptual):** Define a structure (e.g., the cumulative hierarchy $V = \bigcup_{\alpha \in Ord} V_\alpha$) and show that all ZF axioms hold true within this structure. This involves detailed verification of each axiom. * **Significance:** Gödel's Second Incompleteness Theorem shows that ZF (if consistent) cannot prove its own consistency. Therefore, proofs of consistency for strong systems like ZF often rely on assuming the consistency of a weaker underlying system (e.g., showing that if a simpler theory $T$ is consistent, then ZF is consistent). **Common Pitfalls:** * **Confusing Provability and Truth:** A statement can be true in a model but not provable within a system if the system is incomplete. Consistency is about provability of falsehood. * **Incorrect Model Construction:** Errors in defining the model or verifying that axioms hold in the model will invalidate the consistency proof. * **Assuming Soundness:** The entire method relies on the inference rules being sound. This is usually established separately. **Key Insight:** Consistency proofs often leverage the concept of models and the soundness of logical inference. Constructing a model where all axioms are satisfied demonstrates that no contradiction can be derived, as a contradiction would have to be true in that model. This connects proof theory with model theory. --- **Pattern Recognition:** * **Hierarchical Application of Rules:** Proofs often involve applying rules like $\forall E$ or $\to$ I to derive intermediate steps, which are then used with other rules to reach the final conclusion. * **Assumption Management:** Natural deduction heavily relies on managing assumptions, introducing them to derive consequences, and then discharging them (e.g., with $\to$ I or $\forall$ I). * **Structure Dictates Method:** The logical structure of the statement to be proven (e.g., implication, universal quantification) directly suggests the proof strategy. **When to Apply:** * **Formalizing Arguments:** When precise, unambiguous reasoning is required, as in mathematics and computer science. * **Analyzing Logical Systems:** To understand the properties of different logics (e.g., propositional, first-order, modal) and proof systems. * **Computer Science:** In theorem provers, automated reasoning systems, and verification of software and hardware. * **Foundations of Mathematics:** To explore the limits of formal systems (e.g., Gödel's Incompleteness Theorems) and the relationships between different mathematical theories (e.g., reverse mathematics). | 0.7 | medium | 6 | 3,409 | [
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5eded42b-2f85-4eb4-b1ea-e2c058316b3b | ﻣﻮاﺻﻔﺔ ﻓﻨﻴﺔ ﻣﺘﺨﺼﺼﺔ | interdisciplinary | practical_application | ﻣﻮاﺻﻔﺔ ﻓﻨﻴﺔ ﻣﺘﺨﺼﺼﺔ
52040-2018-V1
ﺟﺮاﻓﻴﺎﺗﻮ ﻛﻮﻣﺒﻴﺖ
اﻟﻤﻌﻠﻮﻣﺎت اﻟﻤﺒﻴﻨﺔ ﻓﻲ ﻫﺬه اﻟﻤﻮاﺻﻔﺔ ﻗﺎﺋﻤﺔ ﻋﻠﻰ إﺧﺘﺒﺎرات ﻣﻌﻤﻠﻴﺔ وﺧﺒﺮات ﻋﻤﻠﻴﺔ. ﻧﻈﺮﴽ ﻹﺳﺘﺨﺪام اﻟﻤﻨﺘﺞ ﻓﻲ ﻇﺮوف ﺧﺎرﺟﺔ ﻋﻦ ﺗﺤﻜﻢ اﻟﺸﺮﻛﺔ ﻓﺈﻧﻨﺎ ﻻ ﻧﻀﻤﻦ إﻻ ﺟﻮدة اﻟﻤﻨﺘﺞ ﻧﻔﺴﻪ. ﻟﻠﺸﺮﻛﺔ اﻟﺤﻖ ﻓﻲ ﺗﻐﻴﻴﺮ أي ﻣﻦ اﻟﺒﻴﺎﻧﺎت ﺑﺪون ﺳﺎﺑﻖ إﻋﻼم.
www.protall.com
ت: ٠١١١٠٧٤/٠٢ )٣٠( ف: ١٤١١٠٧٤ )٣٠(
Technical Properties
Processing Information
Theoretical Coverage
Recommended Application System
Storage
Technical Data Sheet
GRAVIATO COMPETE
52040-2018-V1
Product Description
GRAVIATO COMPETE is a top quality texture coating based on Vinyl Copolymer that combines maximum protectionwith decorative textured appearance.
Features:
- Suitable for maximum weather condition protection.
- Excellent color stability
- Maximum abrasion and scuff resistance
Available in different quartz particle sizes for specific uses.
Substrate must be free of oil, algae, dirt and all other contaminants.
Product Should be well stirred before usage. Product should not be thinned more than 0.2% weight (about 40 grams water for every 20KG product)
3.5- 3.75 Kilogram/Sqm/Coat ( The Actual coverage depends on substrate nature and preparation, method of application, condition of tools, etc...)
- Substrate should be moisten.
- Apply the product using a metal trowel to a thickness more than the quartz particles (about 2 - 3 mm)
- Wait about 5 minutes then create the desired final texture using a plastic trowel. - The final texture depends on the last application direction (Horizontal - Vertical Circular...)
One year from date of production in original sealed package.
Product must be stored in well ventilated area away from direct sunlight, heat sources or freezing temperatures.
Health, Safety & Enviroment
Please observe the precautionary notice displayed on the container. Use under well ventilated conditions wearing suitable protective clothes.In case of skin contact wash with water and soap. In case of eye contact, wash thoroughly with plenty of water and seek medical attention.
Excess Paint should never be spilled in water sewers.
At all time local environmental laws and regulations should be maintained.
This information and all further technical advice is based on our present knowledge and experience. However, it implies no liability or other legal responsibility on our part. As application conditions are out of our control we can not guarantee but the quality of the product itself. PROTALL reserves the right to make any changes without prior notice.
For more Information please contact Technical Support
Factories & Technical Support: Km 25-26 Alex-Cairo road
Tel.: +203 4701110/20 Fax.: +203 4701141
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c2be5c73-f976-42fa-b734-a2888af4a61d | Beginning November all three | interdisciplinary | tutorial | Beginning November 5, all three stores will be open Mondays, 9 a.m. to 5 p.m. Yes, our stores will be open 6 days a week – Monday through Saturday – beginning Monday, November 5. Archive for the ‘Beyond the ReStore’ Category Serving Up Style: Designers Fighting Lupus is Portland’s premier design event. Each year, prominent design teams are invited to create fantastic, stunning, and whimsical dining environments for a four-day showcase during the Portland Fall Home & Garden Show. Serving Up Style culminates with a fundraiser gala, auction, and awards ceremony. All proceeds from the event benefit the lupus awareness and service initiatives of Molly’s Fund Fighting Lupus. Getting selected to participate in this event is an honor. Angie Morse, owner of The Room Stylers, Anne Runde of Anne Runde Interiors and Chana Coleman of Everyday Styling – the talented design team that created the ReStore’s fabulous living room setting for last year’s Spring Home and Garden Show – enlisted the ReStore to help create their entry for Serving Up Style. The Room Stylers’ entry is titled “Nature’s Sky Box — where city chic meets rural rustic.” The designers wanted to capture the vibe and essence of what makes Portland such a cool place to live. They started with green living (in this case, repurposed pallet boards used to create a planter box and benches, reclaimed decking and trellis materials – constructed by Alex and Mark from the Washington County ReStore – LED lighting (for 85% less energy consumption), fresh inspired foods (all local), urban farming (veggies from the display’s own planter box), and beautiful scenery along with vibrant, engaged communities. The juxtaposition of urban and rustic creates opulence with a farm-fresh twist! With sustainability at the core, this delightful rooftop setting is meant to be shared. Imagine hazelnut crusted Dungeness crabcakes with herb-seasoned, grilled root vegetables. Greens plucked from the garden drizzled with fresh raspberry puree and a rich butternut squash soup. Finish with poached pears decadently dressed with Moonstruck dark chocolate. All of this accompanied by local libations—fruit liqueurs and brandies, wines, brews, and roasted coffees. The Design Team Each of the designers runs a multi-faceted design company offering interior design, remodeling, home staging and styling services, and also light commercial and outdoor projects. Angie Morse said, “We all strive to create unique, personal, inviting spaces for each and every client. For us, it’s a matter of listening to our clients’ life stories, respecting their treasures, and helping them discover their personal design style. With the same passion and energy we bring to our projects each day, we had so much fun creating this vignette for Serving Up Style. We were also very humbled by the response from our colleagues and vendors when we approached them with our ideas and need for assistance. We are truly grateful for the talent, generosity, and enthusiasm they brought to the project. ReStore rocks!!!” Don’t forget to vote! This event includes a People’s Choice award, and voting for the People’s Choice award goes live on houzz.com Thursday, October 4. Please vote for the Room Stylers and help them win the People’s Choice award! If you attended the Home and Garden Idea Fair in Clark County this year you saw lots of great home improvement ideas and probably discovered many creative things to put on your garden wish list. You also may have heard tons of pounding, excited chatter and lots of laughter. That commotion was the result of a four-way collaboration, born through heightened community awareness and networking between the Clark County Skills Center, Clark County Environmental Services, the Clark County Habitat for Humanity Store and our new Building Material Recovery Program. How did it come together? (Deep breath!) The Lifetime Fence Company in Vancouver contacted me about salvaging used cedar fencing from some of their teardown projects, and of course we were happy to oblige. We took the lumber to the Clark County HFH Store, processed it and set it aside for sale and for use in future projects. The environmental services folks approached the HFH Store about purchasing some wood for their summer kids projects (birdhouse making), and of course the HFH Store was happy to oblige. The environmental staff needed bird house parts cut and contacted the Clark County Skills Center about using its occupational training center for the wood work, and of course they were happy to oblige. At the fair with boxes of parts that needed assembly there were plenty of willing hands and smiling faces ready to oblige! I’m sure if we listened hard enough we would hear lots of newly-housed bird families across town saying, “Much obliged!” Thanks for the partnerships. This is a small but great example of what we can do when we work together, using everyone’s gifts to make all our worlds a better place. Once again, Umpqua Bank graciously gives us space in its Vancouver, WA branches to provide its customers with information about the Clark County Habitat for Humanity Store. We did this last year, too and it was a great success. Not only does this partnership showcases Umpqua’s commitment to the local community, it gives us an opportunity to inform people about our stores and our mission to support Habitat and keep usable materials out of the waste stream. We get to reach people who don’t know our stores are a great place to shop and a worthy destination for items they wish to donate. In March, we had displays in Umpqua’s Downtown and Mill Plain branches. This month our displays move to the Hazel Dell and Evergreen branches. Each Saturday in April, the HFH Store truck will park in an Umpqua Bank’s parking lot to collect materials donations. The truck will collect donations between 9:30 am and 2:30 pm and you can bring items to donate. Here’s the schedule. April 7 – Vancouver Downtown, 1400 Washington Street April 14 – Mill Plain, 12019 SE Mill Plain Blvd April 21 – Hazel Dell, 600 NE 99th St April 28 – Vancouver Evergreen Square, 16409 SE 1st St You may remember seeing Habitat for Humanity Portland/Metro East’s billboard campaign, “Habitat for Portland” around town last fall. After the billboards came down, ReStore Managers Shel Mae and Alex Bertolucci spent some time thinking about the best use for the billboards. The first thought was to display them at our ReStores, but then Alex suggested they be turned into reusable tote bags. The Billboards to Bags Project was born! With a little sewing experience under her belt, Shel Mae designed a simple, easy to assemble bag. Rob Maldonado, our Portland ReStore Warehouse Assistant, turned Shel’s drawings into hard board patterns, and Cindy Correll, our Marketing Manager, created labels for the bags. Our first cutting day was a huge success! Seven excited volunteers showed up to the Portland ReStore for the project. Our first banner was so big that when we unrolled it, it took up an entire aisle way in the ReStore! Just managing the size and getting it cut was a major undertaking. But by the end of the day, we had 135 bags ready to sew. With the help of a ReStore volunteer, we discovered Spooltown, a small, locally owned and operated sewing factory on N. Williams Ave. Spooltown worked with us to finalize the pattern and gave us a very reasonable price to produce the bags. The billboard bags turned out great, and they are for sale now for only $10 each at our Portland, Beaverton and Vancouver stores. Watch our video that tells the story. Through our new Building Material Recovery service, we can say “yes” when you ask us to remove your cabinets, sinks, appliances, doors and other items. You’ll get a tax deduction receipt for the items you donate to the ReStore, and we’ll leave your site clean and ready for the next phase of your project. Because a few people in our group work in the medical field, we were offered a tour of one of the local hospitals. We toured the Emergency Department, Labor and Delivery, the Operating Room and standard care wards. One of the physicians who talked to us was a woman who has worked at the hospital for 34 years. It was interesting to compare and contrast the care provided. Great care was shown, especially to hospitalized children. Rooms were brightly decorated and there were places for parents so that they could be present to ease their children’s fears. Back at the work sites, the building continued. At the first house, some of us were finishing the support for the roof while others were applying a cement wall covering to both the inside and the outside of the house. After we placed the final roof supports, we started placing the metal roofing. The roofing was an orange color to provide contrast with the red, blue and green roofs on nearby houses. At the second house, we cut and placed insulation into the ceiling and prepared the floor for the pouring of its concrete finish. The son of the future owner of the house applied the outer cement surface to the house. On our final day, we continued to place roofing, apply cement to the walls and pour the floor in the second house. We also sealed the window casings. As we neared the end of our build time, we could stand back and see how far we had come. From arriving to find a plot marked out with string to now seeing a nearly finished home, we could all sit back and feel a great sense of accomplishment in what we had done in a relatively short period of time. Olna, the lady from the first house, prepared a thank you and farewell meal of dumplings, fruit, cheese, juice and tea and gave each of us a gift to say thank you. After saying our goodbyes, we went to the second house to bid our farewell to the family. The father also gave us a small gift to say thank you and told us that he had been talking to his wife every day and giving her updates on the house. She was in the southern part of Mongolia about 600 miles away and had yet to see her new house. After saying our goodbyes, we headed back to our hotel to pack for our return to Ulaan Baatar. We had dinner that evening with the local Habitat people and said our final farewells. We left early the next morning in order to get to Ulaan Baatar by late morning to allow for some local sight seeing and final preparations for everyone’s departure. Following local sightseeing, we were treated to a show of Mongolian dance and singing. The folk music and dance was very festive and upbeat. Afterwards, we had dinner at one of the local restaurants and went back to our hostel for our final night as a group. At the hostel we said our farewells as we prepared to part ways. Some people were planning to return home, others would continue on trips to the Gobi Desert, China and other locations. We came together as strangers and left as friends. If you have the opportunity for this type of trip, I would recommend it. It was a unique experience that should not be missed. After visiting the monastery at Amarbayasgalant on Saturday, we went north on Sunday to visit the Mother Tree, one of the holiest sites for the Mongolian people. Here, people and families visit from around the country to offer gifts and prayers. People often picnic in the shadow of the tree as many view this as an all-day event. After the weekend was over, we headed back to the worksites to continue building the houses. Teams were split into different groups, with one group concentrating on filling any gaps in the walls with cement and others working to place the 2” x 6” lumber on top of the walls in order to place the ceiling support pieces. Here we encountered our only power tool of the build – a drill – which we used to drill holes in the wood positioned at the top of the wall to help anchor the roof to the walls. Next, we placed the joists on the roof, spacing them to allow us to place the previous cut pieces of wood that would become the ceiling and also support the rafters of the roof itself. We could tell the trust level between us and the building staff was increasing as there was less supervision over the various projects, allowing the local staff to concentrate on the next steps in the build process. A simple series of words in English and Mongolian were used to convey messages to help speed along the building process so as not to rely too much on the interpreter that was with us. While teams were placing the rafters, another group was working from inside the house, cutting smaller blocks of gypsum to place in between the joists and cementing them in place. While this work was going on, cattle would wander in and out of the worksite, grazing for food and watching us work. After awhile, they would lazily leave and move on to their next grazing site. Raising the rafters began to give the house its shape. Rafters were carefully placed and fitted to prepare for the placement of the metal roof. The frame for an external attic door was placed on one end. With no attic access from inside the house, a ladder was placed on the outside to allow the owner to access the attic area. Towards the end of the day, a crew started to place the windows. The future owner of the house was seen standing inside staring out through the window with a huge smile. It was a fitting end to the day. One of the ladies with the build group also works for an organization that provides eye glasses to women. She brought her glasses with her, and with the help of the interpreter, was able to meet with more than a dozen local women and provide them with reading glasses. Over the next couple of days, we will finish the roof, insulation and frame the door. Though everyone in the group is tired by the end of the day, morale continues to stay high and everyone continues to look forward to continuing building the houses. The third installment in Dan’s Mongolia adventure. We have completed our first week of building in Darkhan, Mongolia. After a team breakfast, we started our second day building ceiling supports and rafters for the house. This entailed measuring, sawing and nailing – no experience necessary. Everyone on the team had the opportunity to try their hand at everything. After we completed the rafters, we shifted to cutting 1’x4’ boards into 65 cm boards for what would become the inside ceiling. This required using several teams as we needed 360 boards for the house. Near the end of the morning, we were informed that we would be building an additional house. After lunch, we went to the new site. There, the foundation had been poured, and waiting for us were large stacks of polystyrene-concrete composite blocks. The larger of the blocks weighed about 45 pounds each and were around 2 x 1 x 1.5 ft in size. People in the group went around picking up the blocks to test them for weight. We mixed concrete, and the workers from Mongolia who were overseeing the build showed us how to correctly place the blocks. (I cannot comment enough on the patience of the build crew with us – they are great to work with!) The team divided into cement makers, block lifters and block placers, and the work began. With the guidance of the local builders, we laid the blocks, taking into account placement of the windows and the door. We used crosscut saws to cut blocks to size. We were able to place three rows of blocks before the end of the day. The following day we went back to the second site to continue placing the block walls. We got to the site to find that the water in the container used to make the cement was frozen. We chipped out the ice and the day continued. We placed a fourth level of large blocks before switching to blocks about one-half the size of the original ones. Three levels of the half-size blocks were placed before capping the walls with a quarter-size block. The ends at the upper levels were started by one of the workers who looked like an acrobat as she moved easily around the walls. We finished our part of this wall by the end of the morning. In the afternoon, we went back to our original site. Piles of blocks for the walls were waiting for us. However, unlike the polystyrene block at the other site, we were greeted by blocks of gypsum. While roughly the same size as the other blocks, they weighed about twice as much. We were told one reason for the difference was the material available at the time. The other difference was that there was only one size block – large. At this house, the large blocks would be stacked up six high through a series of scaffolding and steps made from the blocks themselves. The work was much slower as we needed two people to move each block. By the end of the week, we had nearly completed the walls of the second house. Everyone wanted to stay Friday evening to finish out the walls, but our hosts said we were already ahead of schedule and that we should take time to enjoy ourselves. The evening meals presented their own opportunities for adventure as we would go to restaurants without the aid of a guide. Most menus had no English subtitles and as no one spoke enough Mongolian to adequately translate, meals were generally selected through the use of pictures. There were times that the picture did not match the meal provided, but it was tasty nonetheless. On Saturday, we took a three-hour van ride to one of the oldest and more revered monasteries in Mongolia. The last hour of this trip was over dirt roads which twisted and turned and dipped in all directions. We finally saw the Monastery, which was at the end of the valley on a large open plain. The Monastery is still in use today and houses about 50 monks of different ages, from young boys to older men. During religious holidays, the ranks swell to around 1000 monks as monks from all over the region converge on the monastery. We arrived during prayer, but were allowed to observe and walk around the temple. There were signs of reconstruction going on at the Monastery, and piles of new brick to replace the old ones were all over. Visitors can walk all over the grounds and visit any of the shrines. Herds of goats, horses and cattle were all around grazing on the grass. They are evidently very used to having people around, as they do not run when people approach them but rather walk away casually if people get too close to them. We ended our day with an authentic Mongolian BBQ along a river near the Monastery. The white linen-covered table with folded napkins and wine glasses was a stark contrast to the fact that we were in a large grazing field for the local animals. The cattle came right up to us, curious as what we were up to, no doubt not used to visitors in their domain. A meal of mutton, potatoes, salad and soup was provided, with wine and juice to drink. It was a great meal in the quiet of the valley. When we finished, we packed up for our drive back to our hotel. We will have one more day to visits the sites before beginning our second week of work. Alisia Gonzales-Hankins lives with her daughter and three sons in a house in northeast Portland that they’ve rented for 12 years. Alejandra is 19, Dominique is 15, and her twins, DeMario and DeMarco, are 6. Over the years, their neighborhood has become much more affluent than it was when they first arrived. Rents in the neighborhood have doubled, but Alisia has managed to keep her rent low by not complaining about things that are wrong with the home. They recently found out that the house has lead-based paint, which the twins have been exposed to. The soil also tested positive for lead, and now they cannot use it for gardening. The bathroom has mold on the ceiling and most of the pipes throughout the home are rusted. Aside from these problems, the house is too small and cramped for the number of people in their family. “I’m stuck,” Alisia said. “I won’t be able to find anything affordable in this neighborhood anymore, so it’s better to keep my mouth shut and keep a roof over my head.” After learning about the lead paint problems, Alisia, who works as a medical assistant, decided to explore housing options and applied to Habitat for Humanity. “It was time for ownership,” Alisia said. “Habitat’s no-interest mortgage and sweat equity program is very, very appealing. I am looking forward to saving money, and I know how lucky I am to have this opportunity.” Alisia and her family will be one of the first six families to move into Habitat’s Rivergate Commons neighborhood in North Portland. The Campbell Group, a first-time sponsor, has committed to raise the funds needed to build this home. “I’m excited to move into something that is new and that I can call my own,” Alisia said. “I’m familiar with the area, and I’ve already met a few of my neighbors. It will be nice to live in a close community and be able to garden without fear of lead in your food.” Although construction on the homes was recently started, a community garden has already been established at Rivergate Commons and is ready to welcome the new homeowners. | 0.65 | medium | 6 | 4,526 | [
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421fcce6-c817-42a1-b60f-f58e93912263 | conspiracy theory originally meant | technology | research_summary | A conspiracy theory originally meant the "theory" that an event or phenomenon was the result of conspiracy between interested parties; however, from the mid-1960s onward, it is often used to denote ridiculous, misconceived, paranoid, unfounded, outlandish or irrational theories. The problem is this results in possibly-rational conspiracy theories getting lost in the midst of the noise of newsworthy but disingenuous ideas such as New World Order or the Moon landing hoax.
Daniel Pipes, in an early essay "adapted from a study prepared for the CIA", attempted to define which beliefs distinguish 'the conspiracy mentality' from 'more conventional patterns of thought'. He defined them as: appearances deceive; conspiracies drive history; nothing is haphazard; the enemy always gains power, fame, money, and sex.
Scope and rationality
Because the term conspiracy theory has been used in the media to denote grand conspiracy theories involving hundreds or thousands of people as well as plausible things, such as Nazis themselves starting the Reichstag fire, there has been some effort by a few scholars to denote those conspiracy theories that are plausible from those that are irrational/delusional/paranoid ramblings.
One such effort is to call a plausible conspiracy theory a theory of conspiracy while another is to separate the broad concept of conspiracy theory into the broad categories of warranted and unwarranted.
Warranted conspiracy theories tend to be small in scope requiring only a small group or be reasonably easy to cover-up. A crucial litmus test is whether any of those who must have been involved or in the know, has ever leaked information. It is a repeatable feature of bogus conspiracy theories that they involve very large numbers of people, not one of whom has ever betrayed the conspiracy. Watergate, the classic conspiracy, was busted in part because of Mark "Deep Throat" Felt, who was a former confidant of J. Edgar Hoover. The more people who are or must be in the know, the less likely it is that the conspiracy will remain secret, and the more certain it becomes that the absence of any leak is indicative that the conspiracy does not exist.
Here is a short list of warranted conspiracy theories:
Al-Qaeda was responsible for the 9/11 attacks
Burr conspiracy (Former vice president Aaron Burr's idiotic plan to set up a nation for himself by claiming land in the Southwest and possibly stealing land from Mexico)
Business Plot (ie. a plot by fascist sympathizers to overthrow FDR in 1933)
Al Capone was behind the Saint Valentine's Day massacre
CIA drug trafficking
Unwarranted conspiracy theories, on the other hand, tend to gravitate to the grandiose to the point that they approach lunacy. The existence of warranted conspiracy theories, especially when they are later proven to be true, helps fuel a conspiracy mentality that sees conspiracies everywhere and sees anyone denying said conspiracy as part of it.
Classification of conspiracy theories
In his book Culture of Conspiracy, Michael Barkun (a political scientist specializing in conspiracy theories and fringe beliefs) defines three types of conspiracy theories:
Event conspiracy: In which a conspiracy is thought to be responsible for a single event or brief series of events, e.g. JFK assassination conspiracies.
Systemic conspiracy: A broad conspiracy perpetrated by a specific group in an attempt to subvert government or societal organizations, e.g. Freemasonry.
Super-conspiracy: Hierarchical conspiracies combining systemic and event conspiracies in which a supremely powerful organization controls numerous conspiratorial actors, e.g. the New World Order or Reptoids controlling a number of interlocking conspiracies.
Conspiracy theory checklist
Don't count on converting a conspiracy theorist. However, some questions can determine if a conspiracy theory is warranted or not.
How large is the supposed conspiracy?
How many people are part of this conspiracy?
Are there enough of them to carry out the plan?
What infrastructure and resources does it need?
How much time and money did it take and where did this money come from?
If there are many thousands of conspirators, how are they organized?
Where are the secret conferences held?
How do they keep track of membership?
If they are organised through known channels or entities, how do they keep non-members who work there from uncovering the conspiracy?
For instance, the idea that the Nazi themselves set the Reichstag fire would only require a handful of men and minimal amount of money to pull off while something like faking the Moon landing would require tens of thousands if not more to carry out; the rock samples alone might require a decade to falsify and filming would take an airtight soundstage orders of magnitude larger than any known vacuum chamber.
Who gains what from the conspiracy and for what price?
Is this the easiest way of gaining it? If not, why was it chosen over the easiest way?
If it is an old conspiracy — who gains what from maintaining it?
Again, the Nazis used the Reichstag fire to scapegoat the communists, it is considered an important factor in their rise to power, and it is hard to imagine that there was an easier way to do it. Conversely, while faking the Moon landing might have been a way to have something to show for the Apollo project, the simpler solution would have been to actually land on the Moon. Also, Richard Nixon is dead, and no one in power has any reason to care about making sure everyone thinks we went to the Moon while he was president.
How likely is it to remain covered up if it has gone on for a long time?
If there are thousands of conspirators, and the conspiracy has gone on for decades, why have none of them defected?
Why have none of them leaked the story?
If many conspirators are dead, why have none of them told the truth on their deathbeds, or in their wills?
There are many intelligence agencies associated with rival nations, with the ability to expose secrets. If, say, the United States government is running a global conspiracy, why have the French, Russian, or Chinese intelligence agencies never revealed it, to cause a major scandal in the United States (if all intelligence agencies are involved, see #2)? If they have, when and where did they do so?
It should be noted that with government-based conspiracy theories one can have issues with the fact there are things about WWI, 100 years ago, that are still classified and therefore unknown to the general public, nullifying these types of questions even with a skeptic - however, these involve what might be termed "rigidly defined areas of doubt and uncertainty" and usually there is significant supporting evidence from other sources.
Does belief in this theory require accepting inherently contradictive premises that the conspiring entities are incredibly competent, bone stupid, organized, clever, and hopelessly incompetent -- all at the same time?
A notorious example: Chemtrails. If the U.S. government wished to use chemicals to have effects at ground level, high-altitude dispersion would be the most expensively, stupidly ineffective approach imaginable (as well as readily detected by, say, spectrographs and air sampling). So this theory would require believing in an entity (the U.S. government) that is well-resourced, competent, clever, well-advised, and at the same time hopelessly stupid.
Other examples are "secrets" simultaneously well and carefully kept by extremely powerful and aggressive entities, and known to one or (especially) more "bozos on the bus," who know all about it and talk about them openly on the Web and in real life. Apart from chemtrails a common example is the highly organized and thoroughly secret system of concentration camps operated by FEMA, an agency famous for its amazingly chaotic, clumsy, and ineffective handling of rescue and recovery after Katrina. Alternatively, use any other intensely secret program that could be easily discovered and verified by anyone with a common piece of scientific equipment (or Google).
Denial is strongly linked with conspiracies in two senses. In one, the conspiracy theorist is in denial of the "official story," which is more often than not the one supported by facts. However, in the second sense, anyone denying the existence of a conspiracy inadvertently proves that it must exist. Denial of on-going conspiracies can be taken as proof that said employees are "in on" whatever conspiracy they are busily denying. Usually, the more they deny, the more conspiracy theorists will take it as proof — because, well, "they would say that, wouldn't they!" Furthermore, if people do not deny the theory, this can also be taken as proof on the grounds that "it has never been denied." This applies equally to anyone involved in a large, perhaps mysterious, enterprise, such as "scientists," "the Army," "automobile manufacturers," "Big Science/Petroleum/Tobacco/Florists" etc. That this entire line of reasoning is circular hardly needs pointing out.
A conspiracy theory becomes a total crackpot conspiracy theory when all evidence that might disprove the theory instead becomes co-opted as proof of the "cover-up" of said theory; requiring loyalty, resources, and competence on the part of the conspirators far in excess of what any actual conspiracy can muster.
"Conspiracy theory" can also be used as a snarl word to dismiss a valid worry that a group is up to something.
Another example would be the discovery of COINTELPRO. People such as the Black Panthers and Abbie Hoffman suspected that the FBI had a covert program dedicated to tracking, discrediting and destroying them, however they were largely written off as paranoid radicals finding a way to blame the man for their failures. Then, lo and behold, the FBI reveals its COINTELPRO and proves that they were actually correct.
A skeptic must always seek out the truth, even if it does very occasionally end up proving those "nutjobs" right. Considering the sheer number of conspiracies, however, it's inevitable that one or two of them might just be right, but this by no means says that they are generally valid — once a conspiracy theory has been "proven" it ceases to be a conspiracy theory in this sense and just becomes a conspiracy.
Remember, you're not paranoid if They really are out to get you.
What They don't want you to know
One of the most successful driving forces behind the spread and uptake of conspiracy theories is the entire concept that they're secret and forbidden pieces of information. This goes far beyond them being merely "juicy" like celebrity gossip but right to the heart of how we place value on information.
Things become valuable for their rarity, and occasionally for their utility, although a very common but highly useful thing is still cheap; contrast iron and wood for construction with gold and silver, which have useful electronic conduction properties or novel chemical applications but their price is derived from their rarity. If it wasn't for this rarity they would be just used rather than being held in high regard for specialist applications. The same applies to information — rarity increases value. And just as we can value useless things because they are rare, we can still value information that is rare regardless of its truth value. This is something that has wider reaching consequences in almost all forms of woo. Fad diets, for example, display this particular trope very well as healthy eating advice is simple, effective and "free" — but make it some "secret trick" and people will buy into it happily despite a free and effective alternative being available.
Within the realm of conspiracy theories, information is highly valuable — indeed, it is made valuable by becoming part of of the conspiracy. "What They don't want you to know" is a phrase that is heard and seen everywhere in conspiracy land. Because if information is suppressed by Them to keep it away from you it must be secret, it must be rare, it must be valuable. It's the same force that drives people to brag about a band that only they have heard of, or say "I know something you don't know," even though this defeats the purpose; nothing is cooler than knowing something someone else doesn't. The problem with conspiracies is that people mistake such hoarding value for truth value, i.e., if information is suppressed by Them to keep it away from you it must be secret, it must be rare, it must be valuable, it must be true. Therefore the trope continues to be used to add value, and the illusion of truth, to information.
There are a few other subtle factors at play to enhance this. The idea of information being suppressed and withheld romanticises the idea of the conspiracy. If knowing something that others don't is a big, fat, multi-layered chocolate cake, then being the underdog and fighting against the people who want to stop you is the rich, orgasm-inducing, triple-chocolate icing that spells your name and shouts "happy birthday" with the load of sparklers that gracefully sits atop it. A figure of hate and mistrust to aim emotions at enhances the experience; the Illuminati, the mainstream media, it really doesn't matter so long as it's something to absorb additional hatred and scorn. Thus the "Them" (always capitalise it — always), reinforces the special nature of the information that the conspiracy theory purports to reveal.
The knowledge suppression aspect (for example, free energy suppression) plays nicely into our thinking about the abhorrence of censorship and the want to do something good in the world. Meanwhile, the "Them" aspect plays nicely into the distrust and hatred people hold for corporations, governments or any organisation that exists in the abstract rather than personal. It's easy to demonise an institution, a person less so. When a skeptic wanders into a conspiracy theorist discussion to refute facts, the ad hominem responses of conspiracy advocates tend to be of the type "you work for the Illuminati," "you're paid by Big Oil," "you're a NASA shill," or one of countless other very similar such accusations. It's never "you are the Illuminati" or "you work for David Smales, who lives at 45 9th Avenue with a wife and two children and another on the way, who plays golf at the weekend, likes his pet dog and just happens to be the head of Big Oil". No, They are faceless and easy targets. Even in the circumstances when conspiracy theorists are capable of pointing the finger at a person they can identify outright — such as the pilot in charge of the AC-130 flying over Washington DC during the 9/11 attacks that is accused of dropping wreckage to "fake" the attack on the Pentagon — charges are always accompanied by phrases like "perhaps he didn't know what he was doing or perhaps he was following orders and wasn't aware." Even further, with Bob Lazar, who claimed to work at Area 51, no one seems bothered by who he worked for or with there, it's always faceless government. They are an easy target because They can't be personified.
These factors up the value conspiracy theorists ascribe to information, but unfortunately for them such clichés don't comment on the truth value of such information - in fact, they probably count against such things being true.
Latching to tragedy
An unfortunate and sometimes callous tendency of a die hard conspiracy buff is to instantly claim that a tragedy, be it a shooting, bombing, suicide, or stubbing their toe in the morning, is by some way fabricated by or the fault of the government. This is often done as a form of confirmation bias, motivated primarily by the earnest fervor and outrage that typically dominates a conspiracy theorist's life. Sometimes, such claims are also made cynically, either for political or financial profit.
An even more unfortunate corollary of this is that any attempts at alternative explanations or deviations from orthodoxy are easily smeared as "conspiracy theories", and an overwhelming sentiment thus obtains where tragedies such as mass shootings, bombings, or suicides are "sacred" or "forbidden", and any discussion, whether in good faith or not, is fundamentally disrespectful. This line of reasoning is much more often used cynically by political figures to stifle discussion which could potentially reveal their incompetence, malfeasance, or general scumminess.
Misperception of social systems
Social systems do exhibit complex forms of order and integration which emerge from the non-intentional consequences of intentional action; these emergent orders can be mistaken for conspiracies by people who have no real concept of social structure and therefore believe that every aspect of society must be the product of someone's will. For instance, "free" capitalist markets tend to generate oligarchies or even monopolies wherever economies of scale grant competitive advantages and/or where there is a high transaction cost for consumers who switch suppliers. For an observer who naively believes that a free market really always is a level playing field, the formation of oligopolies seems like an anomaly, which the conspiracy theory explains.
A variation on this is found when practices that are common in one context are not generally known to the wider public. For instance, the intelligence agencies of the US and USSR during the Cold War routinely shared information which was kept secret from the citizens of both countries. In business, certain levels of collusion among competitors, especially in oligopolistic markets, are fairly common. Such practices look conspiratorial to outsiders and may even be conspiratorial in a strict sense of the term but have little in common with the fantastic conspiracies postulated by crackpots.
A third form of this misperception occurs when conspiracy theorists assume, on the basis of ignorance and/or stereotyped thinking, that the group who is ostensibly responsible for something could not possibly have done that thing. For instance, conspiracy theories postulating that examples of ancient monumental architecture (the Egyptian or Mayan pyramids, Stonehenge, the Easter Island statues) must have been the product of aliens or whatever usually depend on a serious underestimation of the engineering skills and technological know-how of the actual human beings on the scene.
The 9/11 attacks provide an example of all three forms of this misperception. Many powerful American individuals and institutions benefited from the attacks, including the Bush regime itself and its allies in the military-industrial complex. However, this is in no way an indication that the attacks were an American conspiracy; this is just how global geopolitics works: when something major and unexpected happens, one interest group or another will find a way to benefit from it. As Noam Chomsky has pointed out, 9/11 conspiracy theories actually get in the way of a realistic understanding of global geopolitics and the often amoral rules by which it is played. Likewise, in the immediate aftermath of the attacks the Bush regime acted quickly to return to Saudi Arabia high-ranking Saudi officials and members of the Bin Laden family who were in the US at the time; this might seem conspiratorial to the average American but is consistent with standard diplomatic practice. Third, as Immanuel Wallerstein has observed, 9/11 truthers under-estimate the actual organizational capacity of Al-Qaida.
One common theme in conspiracy theories is that if one conspiracy theory is real, then all the others have to be as well. If 9/11 is an inside job, then the Illuminati are real. If Michael Jackson/Tupac/(Insert Celeb here) is alive, then NASA is concealing evidence of intelligent extraterrestrials.
This is not correct. If later evidence does show 9/11 to be an inside job (very unlikely, however possible), it doesn't follow that Sandy Hook was a false flag operation.
There are, however, a group of CTs that group ALL Conspiracy Theories into one big one. Every tragedy was caused to distract from the real problems. War was caused to further the plans (or two Illuminati bloodlines wanted to duke it out), a world event was staged to distract us, and celeb death was designed to hide their whistleblowing along with every secret society being created to further their plans.
Conspiracy theory - RationalWiki
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cdd03dc7-0e97-430f-8197-6808f30cae97 | Modello Formaggio Svizzero Illustrazione | science | historical_context | Modello a Formaggio Svizzero Illustrazione dei fattori che portano all'incidente. Fonte: FAA, adattato dal modello a formaggio svizzero di James Reason Il modello a formaggio svizzero è un framework di sicurezza utilizzato nell'aviazione per comprendere come gli incidenti possano verificarsi. Immagina fette di formaggio svizzero, dove ogni fetta rappresenta uno strato di difesa che previene un incidente. Ogni strato ha dei fori, che rappresentano potenziali fallimenti, che se allineati con i fori degli altri strati, possono creare un percorso per un incidente. L'idea è che nessuno strato sia perfetto e ogni strato abbia dei fori. Se più strati sono presenti, rappresentano la difesa dell'organizzazione contro il rischio e, nell'aviazione, possono prevenire un incidente. Tuttavia, se i fori di questi strati si allineano, può verificarsi un percorso chiaro per un incidente. Per quanto riguarda il caso di questo incidente, i tre fori allineati che hanno portato all'incidente includevano errori di progettazione, organizzativi e umani. 1. Errore di progettazione Il Boeing 767 includeva un sistema di avviso di livello basso di carburante a 2000 libbre di carburante totale. Questo avviso non si è verificato nell'incidente a causa di un errore di progettazione che ha reso il sistema di avviso non indipendente dal calcolo base della quantità di carburante nel FQIS. Come progettato, il FQIS aveva due canali indipendenti, ciascuno con la propria alimentazione e contenuto in una scatola di alluminio. Se un canale falliva, il processore passava automaticamente all'altro canale e continuava a fornire dati sulla quantità di carburante sugli indicatori della cabina di pilotaggio. Il sistema era progettato in modo che nessun singolo guasto causasse la perdita di entrambi i canali, e questo era garantito da caratteristiche di progettazione che includevano il passaggio automatico del canale quando un canale difettoso veniva rilevato o si verificava una perdita di alimentazione. Tuttavia, un'indagine sull'incidente ha rivelato un difetto di produzione nell'alimentazione del canale 2. Questo difetto ha causato una riduzione della corrente e un fallimento nel fornire l'indicazione della quantità di carburante in qualsiasi serbatoio da quel canale e ha impedito il passaggio al canale operativo, nonostante il circuito fosse chiuso. Di conseguenza, senza ridondanza disponibile e senza isolamento del sistema di carburante che avrebbe fornito un segnale agli indicatori dei serbatoi, non c'era indicazione della quantità di carburante. Riprogettazione Al momento dell'incidente, nonostante il 14 CFR 25.903 richiedesse l'isolamento del sistema di carburante come protezione per i motori, i processori del sistema di carburante del Boeing 767 non erano isolati serbatoio-serbatoio poiché tutti i indicatori di quantità di carburante dei serbatoi erano stati colpiti. Quando si è tentato il passaggio, a causa del circuito chiuso per il canale 2, la perdita di alimentazione nel canale 2 ha causato una lettura vuota e il canale 1 non era disponibile. Insieme, questo ha impedito qualsiasi indicazione di quantità da essere visualizzata per qualsiasi serbatoio. Poiché ogni canale non è riuscito a fornire l'isolamento della visualizzazione serbatoio-serbatoio, gli indicatori di carburante non hanno fornito alcuna indicazione dopo il guasto del canale. Di conseguenza, con tutti gli indicatori di carburante vuoti, l'equipaggio non è riuscito a osservare alcun carburante rimanente in qualsiasi serbatoio o a ricevere un avviso di basso livello di carburante. Dopo l'incidente, Boeing ha riveduto la progettazione del sistema di carburante del 767 per garantire l'isolamento del sistema in conformità con il 14 CFR Parte 25. La nuova norma richiede che qualsiasi guasto del sistema di propulsione influisca solo su un motore per garantire l'operazione sicura del motore rimanente. Questo isolamento del sistema, comunemente chiamato "progettazione a muro di mattoni", avrebbe protetto ciascun processore sull'aeromobile in incidente per essere operativamente indipendente quando forniva le letture degli indicatori di carburante per ciascun serbatoio. Con questa riprogettazione, qualsiasi guasto relativo a un serbatoio non si sarebbe propagato, né avrebbe influenzato né disattivato l'indicatore di carburante di qualsiasi altro serbatoio. Illustrazione del sistema a canale doppio. Fonte: FAA basato su The Boeing Company. Illustrazione dell'isolamento del sistema. Fonte: FAA basato su The Boeing Company. 2. Errori organizzativi Dispatch improprio Diagramma del bastoncino per misurare la quantità di carburante. Fonte: FAA, basato su The Boeing Company. L'aeromobile è stato dispatchato da Edmonton a Montreal attraverso Ottawa in base all'articolo MEL 28-41-2 poiché solo un canale del processore del carburante funzionava correttamente e il meccanico ha ripristinato le indicazioni del carburante nella cabina di pilotaggio aprendo e fissando il circuito in posizione aperta. Tuttavia, l'aeromobile è stato successivamente dispatchato impropriamente da Montreal a Edmonton attraverso Ottawa a causa del non rispetto di tutte le disposizioni richieste del MEL 28-41-2. In questo caso, poiché il circuito del canale del processore non è stato lasciato aperto, non c'erano indicazioni della quantità di carburante in nessuno dei tre indicatori dei serbatoi. Operare l'aeromobile con più di un indicatore di carburante non funzionante non è permesso dal MEL. Domanda: Quale parte delle Federal Aviation Regulations (FAR) richiedeva l'isolamento del sistema di carburante? Risposta: 14 CFR Parte 25 Domanda: Perché l'aeromobile è stato dispatchato impropriamente da Montreal a Edmonton? Risposta: Perché le disposizioni richieste del MEL 28-41-2 non sono state rispettate, specificamente il circuito del canale del processore non è stato lasciato aperto, causando l'assenza di indicazioni della quantità di carburante. Domanda: Qual è lo scopo del modello a formaggio svizzero nella sicurezza aerea? Risposta: Lo scopo del modello a formaggio svizzero è comprendere come gli incidenti possano verificarsi illustrando che ogni strato di difesa ha potenziali fallimenti (fori) che possono allinearsi per creare un percorso per un incidente. Domanda: Qual era il problema principale con la progettazione del sistema di carburante che ha portato all'incidente? Risposta: I processori del carburante non erano isolati serbatoio-serbatoio, quindi un guasto in un canale ha influenzato tutti gli indicatori dei serbatoi di carburante. Domanda: Quale delle seguenti descrive meglio il ruolo del MEL nell'incidente? A) Ha permesso all'aeromobile di essere dispatchato con un sistema di carburante difettoso B) Ha impedito all'aeromobile di essere dispatchato con un sistema di carburante difettoso C) Ha richiesto che il sistema di carburante fosse completamente funzionante prima del dispatch D) Non era rilevante per l'incidente Risposta: A) Ha permesso all'aeromobile di essere dispatchato con un sistema di carburante difettoso Domanda: Il modello a formaggio svizzero è un framework utilizzato per prevenire incidenti o per analizzare le loro cause? Risposta: Sì Domanda: Cosa ha causato il sistema di avviso di basso livello di carburante sul Boeing 767 durante l'incidente? Risposta: Un errore di progettazione ha reso il sistema di avviso non indipendente dal calcolo base della quantità di carburante nel FQIS. Domanda: Cosa è la "progettazione a muro di mattoni" nel contesto del sistema di carburante del Boeing 767? Risposta: Una riprogettazione che garantisce che ciascun processore sia operativamente indipendente, in modo che i guasti in un serbatoio non influenzino gli altri. | 0.6 | medium | 5 | 2,602 | [
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87429a49-bc45-456d-ae33-3f6e48a0c9be | Maxaquene Txombene public space | arts_and_creativity | practical_application | Maxaquene Txombene is a public space project in an informal settlement in Maputo, the capital of Mozambique, utilizing recycled plastic as the primary construction material. The project transformed an old defunct drinking water fountain into a shaded recreational space. The structure was built of beams produced of recycled plastic waste and the concrete blocks used in the landscape design were cast in reclaimed five-liter water bottles. Thereby, the project seeks to advance the principles of circular economy in construction while discussing the cultural heritage in the informal settlements in Maputo.
Approximately 75% of the population of Maputo lives in informal settlements. The public space in such areas is typically in poor condition due to the extra-legal status of the neighborhoods and consequent lack of public investments. Nevertheless, the public space plays a crucial role for social life, as people and particularly children spend much of their free time outside their homes. This project sought to improve the quality of a small public space in the informal settlement, Maxaquene.
The government built a number of public water fountains supplying the informal settlements of Maputo with water in the 1980s. Today, most households have direct access to drinking water and the water fountains are defunct. However, these fountains remain a part of the cultural heritage and are typically located in small public spaces, where people used to stand in lines to fetch water. This project sought to discuss the cultural heritage by adding a new use to the old structure. The old water basins were filled with concrete and plastered, providing a smooth surface for sitting. A light roof structure and a backrest were added to the old fountain providing shade in the hot climate. A crumbling drainage passing through the public space was renovated, improving the sanitary conditions.
Billions of plastic bottles are produced each year and only a small fraction is recycled, compromising sustainable development. Plastic is a pollutant, as it is not easily degraded by the environment. However, as it does not rot, rust or get infested my insects or fungi, it is also a desirable construction material. The local plastic recycling initiative, Plástico Fantástico, produces beams for construction made of recycled plastic waste. These were utilized in this project, pioneering the use of plastic as a structural component in construction in Mozambique. The concrete blocks used in the landscape design were cast in reclaimed five-liter plastic bottles. The smooth surfaced concrete blocks thus appear as petrified water bottles, referring to the other water related elements of the old fountain and the drainage as well as the plastic structure. The project thereby discusses the cultural heritage in the informal settlements and circular economy in the construction sector in Mozambique.
The project was carried out in collaboration with Remígio Chilaule, Faculdade de Arquitectura e Planeamento Físico – Universidade Eduardo Mondlane, KADK – The Royal Danish Academy of Fine Arts, Schools of Architecture, Design and Conservation – Institute of Architecture, Urbanism, and Landscape, and Associação IVERCA. | 0.65 | medium | 6 | 617 | [
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f180d7f5-a5f5-4041-a7f4-31a74d0a7961 | Thermal insulation construction industry | technology | historical_context | Thermal insulation in the construction industry mainly consists of blow-in insulation materials made from recycled paper. IsoCott offers an alternative solution for building insulation with their blow-in insulation material made from recycled textiles. In doing so, they are addressing the increasing decline of waste paper as a resource and addressing the nearly 90 per cent of textile waste that has previously only been incinerated or landfilled. Using otherwise discarded cotton for insulation requires no water and reduces the need for primary raw materials. Since the production takes place entirely in Switzerland, delivery routes and CO2 emissions are reduced. With the CBI Booster, IsoCott can address the scaling of the production process and conduct a lifecycle assessment. | 0.6 | high | 5 | 143 | [
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4cd9d5b0-2d37-4af8-8cd6-9b1b26f09c80 | zipper one simplest machines | interdisciplinary | tutorial | The zipper is one of the simplest machines of modern times and arguably one of the least essential, but it is an immeasurably useful device in our everyday lives. Think how much easier it is to close a pants fly, a suitcase, the back of a dress, a sleeping bag or a tent flap with a zipper than with buttons or cords. The zipper is so effective and reliable that in less than a hundred years, it has become the de facto fastener for thousands of different products.
In this article, we'll examine the various parts that make up a zipper and see how these components lock together so easily and securely. The system is ingenious in its simplicity. | 0.6 | low | 4 | 141 | [
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eae0b0b0-ed0d-4264-aab9-eb085473e93b | Quality Planning And Analysis Juran And Gryna Onloneore | interdisciplinary | data_analysis | Quality Planning And Analysis Juran And Gryna Onloneore
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Quality Planning And Analysis Juran
Quality Planning and Analysis Paperback – International Edition, June 1, 1993. by J.M. Juran (Author), Frank M. Gryna (Author) 4.0 out of 5 stars 2 ratings. See all formats and editions. Hide other formats and editions. Price. New from. Used from. Paperback, International Edition.
Quality Planning and Analysis: Juran, J.M., Gryna, Frank M ...
Juran's Quality Planning and Analysis provides students and professionals with an authoritative treatment of the subject that goes beyond statistical techniques. The content combines pioneering concepts of Dr. Joseph M. Juran and the teachings of the late Dr. Frank M. Gryna, with the insights and experience of today's leading trainers and practitioners at the Juran Institute: John F.
Juran's Quality Management and Analysis: Defeo, Joseph ...
Quality Planning and Analysis: From Product Development Through Use (Mcgraw-Hill Series in Industrial Engineering and Management Science): Juran, J.M., Gryna, Frank M.: 9780070331839: Amazon.com: Books.
Quality Planning and Analysis: From Product Development ...
Juran's Quality Planning and Analysis for Enterprise Quality (McGraw-Hill Series in Industrial Engineering and Management) 5th Edition. by Frank Gryna (Author), Richard Chua (Author), Joseph Defeo (Author) & 0 more. 3.8 out of 5 stars 10 ratings. ISBN-13: 978-0072966626.
Juran's Quality Planning and Analysis for Enterprise ...
Summary. Through four editions, Juran's Quality Planning and Analysis has provided students and professionals with an authoritative treatment of the subject that goes beyond statistical techniques. The fifth edition of this highly regarded classic book on managing for quality, Juran's Quality Planning and Analysis for Enterprise Quality, combines the pioneering concepts of Dr. Joseph M. Juran and the teachings of the late Dr. Frank M. Gryna with the insights and experience of today's leading ...
Juran's Quality Planning and Analysis 5th edition ...
The fifth edition of this highly regarded classic book on managing for quality, Juran's Quality Planning and Analysis for Enterprise Quality, combines the pioneering concepts of Dr. Joseph M. Juran...
Juran's Quality Planning and Analysis for Enterprise ...
Juran helps your design teams develop their skills in understanding customer needs and designing products that target those needs better. We also help you integrate quality by design (QbD) into product development and provide training for QbD and design for SixSigma (DFSS) at green belt and black belt levels.
Quality Planning | Juran
2007 - Juran's Quality Planning and Analysis, 5th edition. Page 18 of 125. critical to quality, are set at a certain value, and are maintained within a specified range (i.e., "controllable variables"). Other variables cannot be easily maintained around a certain value and are considered uncontrollable or "noise".
[PDF] Juran's Quality Planning and Analysis v3 - Free ...
The Juran Trilogy, also called Quality Trilogy, was presented by Dr. Joseph M. Juran in 1986 as a means to manage for quality. The traditional approach to quality at that time was based on quality control, but today, the Trilogy has become the basis for most quality management best practices around the world. In essence, the Juran Trilogy is a universal way of thinking about quality—it fits all functions, all levels, and all product and service lines.
The Juran Trilogy: Quality Planning | Juran
The Juran Model and Excellence Framework. Is your organization looking to begin a journey to improve performance, develop a culture of excellence and a quality mindset, or simply launch a process improvement program such as Lean or Six Sigma? The Five Components Guiding Principles Excellence Framework Roadmap.
The Juran Model | Juran - Juran - Pioneers of Quality ...
Juran's Quality Planning and Analysis for Enterprise Quality (McGraw-Hill Series in Industrial Engineering and Management)
Quality Planning & Analysis for Enterprise Quality: Frank ...
A Brief Introduction: Joseph Juran was a management consultant specializing in managing for quality. He has authored hundreds of papers and 12 books, including Juran's Quality control handbook, Quality Planning and Analysis, and Juran on Leadership for Quality.
Life and Works of Quality Guru Joseph Juran | Quality Gurus
Corpus ID: 109441398. Juran's quality planning and analysis : for enterprise quality @inproceedings{Gryna2007JuransQP, title={Juran's quality planning and analysis : for enterprise quality}, author={Frank M. Gryna
Page 1/2
Copyright : alliancebuildingcontractors.com and R. Chua and Joseph A. Defeo}, year={2007} }
[PDF] Juran's quality planning and analysis : for ...
Quality Planning and Analysis. : Joseph M. Juran, J. M. Juran, Frank M. Gryna. McGraw-Hill, 1993 - Quality assurance - 634 pages. 1 Review. Written by internationally recognized leaders in quality,...
Quality Planning and Analysis: From Product Development ...
Unlike static PDF Juran's Quality Planning And Analysis For Enterprise Quality 5th Edition solution manuals or printed answer keys, our experts show you how to solve each problem step-by-step. No need to wait for office hours or assignments to be graded to find out where you took a wrong turn.
Juran's Quality Planning And Analysis For Enterprise ...
The Juran Trilogy was developed by Dr. Joseph Juran, and it's something I learned about recently in my Total Quality Management and Six Sigma course. The Juran Trilogy is an improvement cycle that is meant to reduce the cost of poor quality by planning quality into the product/process.
The Juran Trilogy – Continuous Improvement Blog
Gryna is perhaps best known as the co-author with Joseph M. Juran of the first four editions of the Juran Quality Handbook and the first two editions of Quality Planning and Analysis. He was also a senior vice president of the Juran Institute for more than 15 years.
Dr. Frank M. Gryna | ASQ
Through four editions, Juran's Quality Planning and Analysis has provided students and professionals with an authoritative treatment of the subject that goes beyond statistical techniques. The fifth edition of this highly regarded classic book on managing for quality, Juran's Quality Planning and Analysis for Enterprise Quality, combines the pioneering concepts of Dr. Joseph M. Juran and the teachings of the late Dr. Frank M. Gryna with the insights and experience of today's leading trainers ...
Juran's Quality Planning and Analysis for Enterprise ...
Synopsis. Through four editions, Juran's Quality Planning and Analysis has provided students and professionals with an authoritative treatment of the subject that goes beyond statistical techniques. The fifth edition of this highly regarded classic book on managing for quality, Juran's Quality Planning and Analysis for Enterprise Quality, combines the pioneering concepts of Dr. Joseph M. Juran and the teachings of the late Dr. Frank M. Gryna with the insights and experience of today's ...
Copyright code: d41d8cd98f00b204e9800998ecf8427e.
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fc67c159-1726-4df6-b892-dd7280060874 | Publications Warehouse links digital | interdisciplinary | historical_context | The Publications Warehouse does not have links to digital versions of this publication at this time
Mount Rainier is one of the most seismically active volcanoes in the Cascade Range, with an average of one to two high-frequency volcano-tectonic (or VT) earthquakes occurring directly beneath the summit in a given month. Despite this level of seismicity, little is known about its cause. The VT earthquakes occur at a steady rate in several clusters below the inferred base of the Quaternary volcanic edifice. More than half of 18 focal mechanisms determined for these events are normal, and most stress axes deviate significantly from the regional stress field. We argue that these characteristics are most consistent with earthquakes in response to processes associated with circulation of fluids and magmatic gases within and below the base of the edifice. Circulation of these fluids and gases has weakened rock and reduced effective stress to the point that gravity-induced brittle fracture, due to the weight of the overlying edifice, can occur. Results from seismic tomography and rock, water, and gas geochemistry studies support this interpretation. We combine constraints from these studies into a model for the magmatic system that includes a large volume of hot rock (temperatures greater than the brittle-ductile transition) with small pockets of melt and/or hot fluids at depths of 8-18 km below the summit. We infer that fluids and heat from this volume reach the edifice via a narrow conduit, resulting in fumarolic activity at the summit, hydrothermal alteration of the edifice, and seismicity.
Additional Publication Details
A model for the magmatic-hydrothermal system at Mount Rainier, Washington, from seismic and geochemical observations | 0.55 | medium | 5 | 340 | [
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c20ecdf5-4601-490a-91c6-f80805a1f027 | Bavaria ancestral home Immsland | social_studies | historical_context | Bavaria is the ancestral home of the Immsland family. Immsland is a local name, first used as a surname for someone who lived in Bavaria.
Early Origins of the Immsland family
Bavaria, where the name Imsland contributed greatly to the development of an emerging nation which would later play a large role in the tribal and national conflicts of the area. In later years the name branched into many houses, each playing a significant role in the local social and political affairs.
Early History of the Immsland family
Another 189 words (14 lines of text) covering the years 179 and 1796 are included under the topic Early Immsland History in all our PDF Extended History products and printed products wherever possible.
Immsland Spelling Variations
Westphalians spoke Low German, which is similar to modern Dutch. Many German names carry suffixes that identify where they came from. Others have phrases attached that identify something about the original bearer. Other variations in German names resulted from the fact that medieval scribes worked without the aid of any spelling rules. The spelling variations of the name Immsland include Imsland, Immsland, Imssland, Imslland, Imslande, Immslland and many more.
Early Notables of the Immsland family (pre 1700)
PDF Extended History products and printed products wherever possible.
Migration of the Immsland family to the New World and Oceana
European migration to North America began in the mid-17th century and continued unabated until the mid-20th. Many Bavarians made the long trip to escape poverty or persecution based on their religious beliefs. The chance for tenant farmers to own their own land was also a major drawing card. They settled all across the United States in Pennsylvania, Texas, New York, Illinois, and California. Many came to Canada also, settling in Ontario and the prairie provinces. Analysis of immigration records has shown some of the first Immslands to arrive in North America, and among them were: Nels J. Imsland, who arrived in Iowa in 1892.
Immsland Family Crest Products | 0.6 | medium | 4 | 462 | [
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d809847e-ffa0-4d1c-b8c9-a6cd628786ff | few weeks ago determinate | mathematics | research_summary | A few weeks ago the determinate tomatoes started looking very bad. More than half of the leaves had died on some of the plants; a couple of plants had lost all of their leaves. Tomatoes usually look a little beat up by late summer with some of the bottom leaves dying but it’s never been this bad.
There’s been a lot of talk about late blight but when I looked at the tomatoes I found that only the leaves were affected. I’ve seen late blight and when plants have it there are lesions on the fruit and stems. The stems and fruit of these tomatoes were fine. The only problem was that the leaves were dying.
With a little research I found out that the problem was septoria leaf spot, a fungal disease caused by the fungus Septoria lycopersici. The initial symptoms of this disease are small spots on the lower leaves of tomatoes. If the conditions are wet, the fungus can form fruiting bodies which produce spores. The spores are spread by rain and can defoliate the plant if the conditions are right. It’s obvious that the conditions were right for a bad case of septoria this year so what were those conditions?
The first condition was that the tomato plants this year were huge. I planted Pony Express, which is a determinate tomato, and the plants were the biggest I’ve ever seen and each was full of fruit. As an habitual “underfertilizer,” I had made the decision to fertilize a little more this year. It’s obvious that the tomatoes liked the additional fertilizing.
The second problem was that the plants were so heavy with green tomatoes that the tomato cages I got at the local big box store weren’t able to stand up to the weight of the plants. A couple of wind storms right before the fruit started to ripen knocked over most of the cages. As a result, the plants were jumbled together and no longer elevated above the ground.
The final issue was that after a dry June and early July, the rain started to fall. During the middle of July it rained a little every few days and when it wasn’t raining, it was hot and humid.
Put these three conditions together and you have the perfect storm for an outbreak of septoria. The large, collapsed plants no longer had good air circulation. Also, the septoria spores, which are found in the soil and on the infected leaves, could now splash on most of the leaves of the plants. Add to these conditions a little rain, heat and humidity and it’s no wonder that the tomatoes look so bad.
While I doubt I can prevent septoria completely, I am already making some plans for next year to limit its damage. While I have no control over the weather, I can make sure that the plants remain above the ground and have good air circulation. I plan to make sure that the tomato plants are spaced properly and have some sturdy support. I read about a way of supporting determinate tomatoes called the Florida weave that’s used by professional growers – it could work well. I might also make my own cages out of some sturdier material. I have the winter to think about this and plan for the coming year.
While the septoria has done a good job of damaging the tomatoes, I’ve still had a good harvest. There have been more than enough tomatoes for freezing and canning. So while no one wants diseases in the garden, septoria is one that isn’t too bad. It only affects the leaves and, with proper growing conditions, it can be managed.
So here’s to next year with tomatoes more widely spaced, more strongly supported and, hopefully, less affected by Septoria lycopersici. | 0.6 | medium | 3 | 761 | [
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8888062e-b088-4748-900a-7f5ff9475869 | Blue White Howarmer® Square | arts_and_creativity | review_summary | Blue and White Howarmer® Square Cotton Canvas Decorative Throw Pillows Cover Set of 4 Accent Pattern - Navy Blue Quatrefoil, Navy Blue Arrow, Chevron Cover Set 18"x 18"
Price: $28.99
Product prices and availability are accurate as of 2017-10-15 06:37:58 EDT and are subject to change. Any price and availability information displayed on http://www.amazon.com/ at the time of purchase will apply to the purchase of this product.
Availability: Not Available - stock arriving soon
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Manufacturer Description
Howarmer® Blue and White Square Cotton Canvas Decorative Throw Pillows Set of 4 Accent Pattern - Navy Blue Quatrefoil, Navy Blue Arrow, Chevron Cover Set 18"x 18"
Product Features
Made of nature & durable Gread A Cotton Canvas Measures 18" X18", 45 x 45 cm Hidden zipper design/COVER Set of 4 / Navy Quatrefoil,Arrow,Chevron Design pattern is printed on BOTH sides (Updated) Insert is not included/ Blue and White
Write a Review | 0.6 | medium | 4 | 323 | [
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addd7aac-7887-4f52-bfeb-646c328e6dd1 | split board You return | technology | historical_context | This is a split board - You can return to the Split List for other boards.
The "color team competition" on Steam is utter BS
• Topic Archived
1. Boards
2. PC
3. The "color team competition" on Steam is utter BS
User Info: Requiem
Requiem
2 years ago#1
And I'm saying this because I'm Pink.
http://www.youtube.com/watch?v=4W5KhfJHF_4
Copyright free literature available at http://www.gutenberg.org/wiki/Main_Page... otherwise known as Tex-Mex
User Info: Maverick_Reznor
Maverick_Reznor
2 years ago#2
You just mad cause you are under the storm cloud and catching the purple rain
Currently Playing : Watch Dogs,WildStar, and Mario Kart 8
Looking Forward To: Destiny, Smash Bros, The Order 1886, and ScaleBound
User Info: samurai1900
samurai1900
2 years ago#3
Maverick_Reznor posted...
You just mad cause you are under the storm cloud and catching the purple rain
Rain approves.
For Shuppet fans and lovers - http://steamcommunity.com/groups/ShuppetForLife
For Meloetta fans and lovers - http://steamcommunity.com/groups/MeloettaForLife
User Info: rking
rking
2 years ago#4
What's total BS is how poor green is doing, I realize I'm a nobody but why'd I get stuck to the worst team?
http://www.d2offline.info - Diablo 2 SP forums
Phenom II x4 945/5770/1440x900 x2/8GB DDR3/Unicomp SpaceSaver/120GB SSD/320GB HDD
User Info: InferiorPeasant
InferiorPeasant
2 years ago#5
I don't even know what this new crap is about, don't care. (= hey, it's great not caring.
User Info: arleas
arleas
2 years ago#6
Funny how there's about 50-60 tokens for all of the teams out there on the market right now, but no purple tokens.
$17 will get you a red team token... Oddly enough Pink Team's token starts at a bargain of only $8.31...
http://raptr.com/badge/arleas/uc.png
http://www.speedtest.net/result/3201564081.png
User Info: reiko sawamura
reiko sawamura
2 years ago#7
Find someone on the blue team to mix with, you'll be a....winning combination.
If you believe in Taokaka, have accepted Her as your lord and savior and are 100% proud of it, put this in your sig!
User Info: ipwnu713
ipwnu713
2 years ago#8
arleas posted...
Funny how there's about 50-60 tokens for all of the teams out there on the market right now, but no purple tokens.
$17 will get you a red team token... Oddly enough Pink Team's token starts at a bargain of only $8.31...
Last time I checked (this afternoon), purple tokens ran for about $27.
http://i.imgur.com/gfSje.gif
Steam ID: G Bass
User Info: arleas
arleas
2 years ago#9
Damn... and they all sold out... I wish I'd craft some purple tokens...
http://raptr.com/badge/arleas/uc.png
http://www.speedtest.net/result/3201564081.png
User Info: RPGMatt
RPGMatt
2 years ago#10
Do people seriously care about this crap? What reason is there to get involved in the teams? Hell, what reason is there to even craft badges?
http://www.facebook.com/chaosframe
1. Boards
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• Topic Archived | 0.65 | medium | 4 | 1,059 | [
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ea44a716-3324-46d0-9d0f-4c4532df3ab7 | Wire Rope Diametric Reduction | interdisciplinary | technical_documentation | Wire Rope Diametric Reduction Calculator in accordance with ISO 4309
Single Layer Rope with Fibre Core
Single Layer Rope with Steel Core or Parallel Closed Rope
Rotation Resistant Rope
Nominal Diameter – The Nominal Diameter is the diameter by which the rope is designated in a catalogue or on the Declaration of Conformity.
Reference Diameter – The Reference Diameter is the measured diameter of a section of rope that is not subject to bending, taken directly after running in the new rope. More simply this is the diameter of the rope when new and should be used as the baseline for uniform change in diameter.
Measured Diameter – The Measured Diameter is the diameter that you measure as part of your examination and should be assessed by taking the average of two measurements, taken at right angles to one another.
The Severity Rating represents the amount of deterioration expressed as a percentage towards discard . This rating may relate to either an individual mode of deterioration like decrease in diameter or the cumulative effect of more than one type of deterioration which might include visible broken wires. | 0.5 | medium | 5 | 228 | [
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f690adf6-2266-4fab-bdf5-445cfcf9de79 | ### Groups Rings: Building | interdisciplinary | historical_context | ### From Groups to Rings: Building the Foundation for Abstract Structure Before we delve into the rich landscape of **ring theory**, let's revisit the foundational concepts from **group theory** that will serve as our stepping stones. Understanding these ideas is crucial, as ring theory builds directly upon the elegant structures we've already explored. **Prerequisite Review** * **Groups:** Remember, a group is a set equipped with a single binary operation (like addition or multiplication) that satisfies four key properties: closure, associativity, the existence of an identity element, and the existence of inverse elements for every element in the set. Think of the integers under addition ($\mathbb{Z}, +$). This structure captures the essence of "invertible operations." * **Abelian Groups:** A special type of group where the operation is also commutative (order doesn't matter). For example, the integers under addition are an abelian group because $a+b = b+a$. This commutativity is a useful property, but not all groups possess it. * **Subgroups:** A subset of a group that is itself a group under the same operation. For instance, the even integers form a subgroup of the integers under addition. **Knowledge Gap Identification** * **Common Gap 1: The "Single Operation" Limitation:** Group theory, by definition, focuses on *one* binary operation. However, many mathematical systems, like the integers, naturally involve *two* operations: addition and multiplication. Learners sometimes struggle to conceptualize how to extend group-like structures to accommodate this duality. * **Bridge:** To bridge this, consider the set of integers ($\mathbb{Z}$). We know $(\mathbb{Z}, +)$ is an abelian group. Now, think about multiplication within $\mathbb{Z}$. While $(\mathbb{Z}, \times)$ isn't a group (e.g., 2 has no multiplicative inverse in $\mathbb{Z}$), multiplication still has important properties like associativity and distributivity over addition. Ring theory aims to formalize systems with *two* operations where one behaves like an abelian group and the other behaves "nicely" with respect to the first. * **Common Gap 2: Distributivity's Role:** While we often encounter distributivity in elementary algebra (e.g., $a(b+c) = ab + ac$), its precise role in abstract algebraic structures can be unclear. Learners might not immediately grasp why it's a critical axiom for building new theories. * **Bridge:** Imagine the integers again. The distributive property connects addition and multiplication: $2 \times (3+4) = 2 \times 7 = 14$, and $2 \times 3 + 2 \times 4 = 6 + 8 = 14$. This property is fundamental to how these two operations interact. Ring theory elevates this interaction to an axiomatic level, ensuring that systems with two operations behave in a predictable, algebraically useful way. **Building the Bridge** * **Step 1:** We start with the robust structure of an **abelian group**. This gives us a set with a commutative, associative operation, an identity, and inverses. The integers under addition ($\mathbb{Z}, +$) are a prime example. * **Step 2:** We introduce a *second* binary operation. This second operation doesn't necessarily need to form a group itself, but it must interact with the first operation in a structured way. * **Step 3:** The crucial link is the **distributive law**. This law dictates how the second operation "distributes" over the first. When we combine an abelian group structure with a second associative operation that distributes over the first, we arrive at the definition of a **ring**. **Conceptual Transformation** * **How Groups Become Rings:** A group is defined by a single operation. Ring theory takes the structure of an *abelian* group (with its two-sided inverses and commutativity) and adds a second operation. The "groupness" is preserved for the first operation, while the second operation is constrained by its relationship to the first via distributivity. * **Why Distributivity is Key:** In group theory, we focus on the properties of a single operation. In ring theory, we need to understand how *two* operations coexist. The distributive law is the fundamental axiom that bridges these two operations, ensuring that the algebraic manipulations we're used to (like factoring) remain valid in our abstract systems. Without it, the interaction between addition and multiplication would be chaotic and unpredictable. * **Familiar Patterns:** The familiar properties of integers under addition and multiplication—associativity of both, commutativity of addition, and distributivity—are precisely the patterns that ring theory generalizes. Rings formalize these everyday algebraic behaviors. **Connection Reinforcement** * **Similarity:** Both groups and rings are sets with binary operations that satisfy closure and associativity. The first operation in a ring is specifically required to be commutative and possess inverses, mirroring the properties of an abelian group. * **Difference:** The most significant difference is the presence of a *second* binary operation in rings. While groups focus on one operation's structure, rings explore the interplay between two. * **Extension:** Ring theory extends group theory by adding a second operation and a distributive law, creating a richer framework capable of modeling more complex mathematical systems, like the integers or polynomials. **Checkpoint Questions** 1. What are the four essential properties that define a group? Provide an example of a group and its operation. 2. Why is the concept of an *abelian* group particularly relevant when transitioning to ring theory? 3. If $(\mathbb{Z}, +)$ is an abelian group, what additional properties must multiplication satisfy for $(\mathbb{Z}, +, \times)$ to be considered a ring? | 0.65 | medium | 4 | 1,242 | [
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a525e4ce-3281-4236-b1c7-489dea801ce3 | Home Search UPC,MPN,Name,SKU, Gtin | arts_and_creativity | historical_context | Home
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UPC 889850417301 iCanvas 'Wyoming Triptych Panel I' by Iris Scott Original Painting on Wrapped Canvas IRS135-1PC6-60x40
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UPC 889850417301 - iCanvas 'Wyoming Triptych Panel I' by Iris Scott Original Painting on Wrapped Canvas IRS135-1PC6-60x40
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IRS135-1PC6-60x40 IZN18571FeaturesArtist: Iris ScottHighest artist grade, water proof and scratch resistant canvasOrientation: Vertical100pct Anti-shrink pine wood bars and Epson anti-fade ultra chrome inks100pct Hand made and inspectedIncludes hanging accessoriesCountry of Manufacture: United StatesStyle: ContemporaryMedium: Giclee printedEco-Friendly: YesProduct Type: Print of paintingPrimary Art Material: CanvasSize (12" H x 8" W x 0.75" D): Mini 17" and underSize (18" H x 12" W x 0.75" D): Small 18"-24"Size (26" H x 18" W x 0.75" D): Medium 25"-32"Size (40" H x 26" W x 1.5" D): Large 33"-40" DimensionsSize 12" H x 8" W x 0.75" DOverall Height - Top to Bottom: 12"Overall Width - Side to Side: 8"Overall Dep 889850417301
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4496c56e-c3f4-4e02-a4b2-73027a9da49b | article part network’s archive | science | review_summary | This article is part of the network’s archive of useful research information. This article is closed to new comments due to inactivity. We welcome new content which can be done by submitting an article for review or take part in discussions in an open topic or submit a blog post to take your discussions online.
In this review, recently published in The EMBO Journal, the Nobel laureate Shinya Yamanaka outlines the opportunities and impact associated with the iPSC‐technology on future, personalized medicine.
The induced pluripotent stem cell (iPSC) technology is instrumental in advancing the fields of disease modeling and cell transplantation. This review discusses the various issues regarding disease modeling and cell transplantation presented in previous reports, and also describe new iPSC‐based medicine including iPSC clinical trials. In such trials, iPSCs from patients can be used to predict drug responders/non‐responders by analyzing the efficacy of the drug on iPSC‐derived cells. They could also be used to stratify patients after actual clinical trials, including those with sporadic diseases, based on the drug responsiveness of each patient in the clinical trials. iPSC‐derived cells can be used for the identification of response markers, leading to increased success rates in such trials. Since iPSCs can be used in micromedicine for drug discovery, and in macromedicine for actual clinical trials, their use would tightly connect both micro‐ and macromedicine. The use of iPSCs in disease modeling, cell transplantation, and clinical trials could therefore lead to significant changes in the future of medicine.
You can access the full review article here or download it by clicking in the link on the right. | 0.6 | medium | 4 | 337 | [
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ca133484-75e2-4a35-b95c-fd69a01b1ba5 | ```Julia variational_calculus Implementation Description | technology | code_implementation | ```Julia # variational_calculus Implementation # Description: This code demonstrates a simplified approach to variational calculus, specifically focusing on finding the maximum of a function subject to a constraint. It uses a gradient-based method to approximate the solution. This implementation is a simplified illustration and might not be suitable for complex problems requiring high accuracy. using LinearAlgebra """ find_max_constrained(func, constraint, grad_constraint, step_size=0.01, max_iterations=100) Calculates the approximate maximum of a function subject to a constraint using gradient descent. # Arguments - `func`: The function to maximize. - `constraint`: The constraint function. - `grad_constraint`: The gradient of the constraint function. - `step_size`: The step size for gradient descent. Defaults to 0.01. - `max_iterations`: The maximum number of iterations for gradient descent. Defaults to 100. # Returns - A tuple containing: - The approximate maximum value of the function. - The point at which the maximum occurs. """ function find_max_constrained(func, constraint, grad_constraint, step_size=0.01, max_iterations=100) # Initialize a random starting point x = rand(1) for i in 1:max_iterations # Calculate the gradient of the function grad_func = gradient(func)(x) # Calculate the step in the direction of the gradient step = -step_size * grad_func # Update the point x = x + step # Check if the constraint is satisfied if constraint(x) <= 0 # Assuming constraint is a lower bound # If constraint is violated, return the current point return func(x), x end end # Return the best point found so far return func(x), x end """ gradient(f::Function) Calculates the gradient of a function f. This is a simplified version and assumes f is a scalar-valued function of one variable. """ function gradient(f::Function) # This is a very basic numerical gradient. For more robust gradient calculation, # consider using a dedicated numerical differentiation library. h = 1e-6 return function(x) return (f(x + h) - f(x - h)) / (2 * h) end end # Example usage: # Define the function to maximize f(x) = -x^2 + 4x + 5 # Define the constraint constraint(x) = x^2 - 1 # Example constraint: x^2 <= 1 # Calculate the gradient of the constraint grad_constraint(x) = 2x # Find the maximum max_value, max_point = find_max_constrained(f, constraint, grad_constraint) println("Approximate maximum value: ", max_value) println("Point at which maximum occurs: ", max_point) # Test cases # Test case 1 f1(x) = -x^2 + 4x + 5 constraint1(x) = x^2 - 1 max_value1, max_point1 = find_max_constrained(f1, constraint1) println("Test Case 1: Max Value = ", max_value1, ", Point = ", max_point1) # Expected: Max Value ≈ 6.0, Point ≈ 2.0 # Test case 2 f2(x) = -x^2 + 10x - 5 constraint2(x) = x^2 - 9 max_value2, max_point2 = find_max_constrained(f2, constraint2) println("Test Case 2: Max Value = ", max_value2, ", Point = ", max_point2) # Expected: Max Value ≈ 12.0, Point ≈ 5.0 # Test case 3 f3(x) = -x^2 constraint3(x) = x^2 - 4 max_value3, max_point3 = find_max_constrained(f3, constraint3) println("Test Case 3: Max Value = ", max_value3, ", Point = ", max_point3) # Expected: Max Value ≈ 0.0, Point ≈ 2.0 ``` | 0.6 | low | 6 | 909 | [
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1ee34c02-364e-4916-85ca-1a1b56191695 | GreenFeed provides research opportunities, practical applications for producers | technology | experiment_design | GreenFeed provides research opportunities, practical applications for producers
Measuring the rate of metabolic gases produced by ruminants has been a goal of scientists for many years, and Patrick Zimmerman’s GreenFeed system allows for easy monitoring of greenhouses gases from cattle.
Beginning in 2010, Zimmerman built the first prototype of the GreenFeed system to address complications in gathering gas emission data from cattle.
“There weren’t any good tools for making measurements of metabolic gases that come from the muzzles of ruminants,” says Zimmerman, inventor of GreenFeed and founder of C-Lock, Inc. “Those gases are as important as monitoring the water pressure and temperature in your car, in terms of being able to tell what is going on with animals.”
“GreenFeed provides a standardized platform so users anywhere in the world can produce secure, comparable measurements that can be monitored in near-real time,” says C-Lock, Inc.’s website.
The system resulted from Zimmerman’s more than 40 years of experience in measuring traces gases from biological systems and was developed by C-Lock, Inc.’s scientists and engineers.
Zimmerman notes that engineers Scott Zimmerman, Tom Zimmerman and Mike Billars are critical members of the C-Lock, Inc. team.
C-Lock, Inc. works to utilize science and engineering techniques to monitor, analyze and reduce greenhouse gas and other pollutant emissions, with a focus on agricultural practices, according to their website.
How it works
The GreenFeed system works similar to a laboratory fume hood, explains Zimmerman.
“When an animal approaches it, a sensor reads an RFID ear tag,” he says. “The system is programmed for each individual animal, its age and size.”
At the appropriate time, the system releases pellets or concentrated feed. As the animal consumes the feed, the system collects and measures what is in their breath.
“Cattle have to belch every 40 seconds or they will bloat,” says Zimmerman. “The system measures that gas.”
As cattle eat, their food is utilized in the body and some carbon dioxide is produced as a result of maintenance and muscle use.
“We can make meat out of grass because the animal has microbes in its rumen that allow it break it down,” he explains. “Because there is no oxygen, they can’t break the grass down to CO2, so they break it down into other compounds that are absorbed.”
Zimmerman notes that one of the byproducts of breaking down organic matter is methane, which is measured by the GreenFeed system.
The data is collected by 18 sensors in the unit, which monitor different variables, and is sent to C-Lock, Inc.
Why monitor gases?
Zimmerman emphasizes that emissions can tell a lot about cattle health and intake.
“By looking at the emissions, we can tell if an animal gets sick, and if their intake drops, we can see it quickly,” explains Zimmerman. “If the feed changes, it also changes those values quickly.”
The data collected from emissions provides a good check for producers on feed quality and intake.
He also adds that gas emission can help with efficiency.
“It turns out that these gases are directly related to efficiency,” he says, “so you can identify those animals that are efficient.”
Because other technologies to test efficiency require waiting for the offspring of the bull to grow, Zimmerman says the system has the potential to look at the efficiency of breeding stock.
The systems have been developed to fit seamlessly into producer’s operations, adds Zimmerman.
“The animals train themselves to use the system,” Zimmerman says.
He also adds that producers can obtain easy-to-use data from C-Lock, Inc.
“We have developed mathematical formulas to convert the data into plain information that people can use,” he adds. “We know that farmers and ranchers don’t need another job.”
Currently, Zimmerman says GreenFeed systems are present primarily in research labs around the world. Systems are utilized in New Zealand, Australia, the United Kingdom, Sweden, France, Ireland and across the U.S.
There are also two units in semi-commercial dairies – one in Sweden and one at Michigan State University.
“We think this system has practical implications as well,” says Zimmerman. “For example, in a typical dairy, producers cull between seven and 10 percent of cows each year because they get sick, don’t get pregnant or die. We think you could cut those losses.”
He also mentions that in feedlots, similar results could be seen by reducing the impacts of dietary changes and stress on animals entering the feedlot.
“Our system shows sick animals before producers can see them,” he says. “Our strategy is to get them in the hands of early adopters in the commercial sector to document their performance.”
They are also working to get the data synthesized into peer-reviewed scientific journal articles. They have data from GreenFeed units in continuous use from 2010 to the present.
He also adds that the more systems that they are able to build, the more cost- effective they will become.
“We have been working to build a system that can slip seamlessly into producer’s operations and produce information to help them make better decisions to save money and make them more profitable,” Zimmerman comments.
Saige Albert is managing editor of the Wyoming Livestock Roundup and can be reached at email@example.com. | 0.6 | medium | 4 | 1,142 | [
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eaaba05c-1d61-4ada-9938-006ffed96a42 | 1786, Lord Cornwallis came | interdisciplinary | historical_context | In 1786, Lord Cornwallis came to Bengal as Governor-General. Before his appointment, he had acted as the Commander-in-Chief of the British army in the American War of Independence.
Enlisted with vast military and administrative experience, Cornwallis in every direction built on the foundations already laid or began to be laid by his predecessors, and especially by Hastings.
He was especially interested with the task of finding out a satisfactory solution to the land revenue problem, restructuring the commercial department, purifying administration and invigorating the judicial department. It was for his effort that the Pitt’s India Act was amended in 1786 so that he might combine in himself the power of the Governor- General and Commander-in-Chief.
He was also given the power to over-rule the members of his executive council; it was his virtue that he did not hesitate to take help of his subordinate officers. He carried out the following reforms in the different fields of administration.
Cornwallis found the judicial machinery suffering from much confusion, diversity of practice and uncertainty of jurisdiction. His reforms were aimed at removing these defects. The district, as a territorial unit, figured as the centre of all his reforms.
For the administration of civil justice there were the civil courts known as Diwani Adalatas Cornwallis placed them under the collectors who were given judicial powers. In addition, a court to try cases upto the value of Rs. 200 was established presided over by an Indian Registrar.
Above the district court are organised four provincial courts of Calcutta, Dacca, Patna and Murshidabad. These provincial courts presided over by European judges heard appeals from the district courts was the Court of Sadar Diwani Adalat at Calcutta which heard appeals from the District Courts and in general looked after the administration of Civil Justice.
Criminal justice concerned itself with he apprehension of the criminal and his punishment. At the time of Cornwallis there were English Magistrates who, however, had on power of punishment, but only that of apprehending the criminal, punishment being the function of Faujdari Adalats (Criminal Court) which were presided over by Indian judges at the Apex of which was the Sadar Nizamat Adalat presided over by Mohammad Raza Khan.
The reform of Cronwallis in this field of justice consisted chiefly in removing the Indian judges and replacing them by Europeans with defined powers. The Collector was invested with certain powers of Criminal justice which he exercises even today.
At the head of each district he appointed a session’s judge. In addition he appointed four provincial courts of circuit, at Dacca, Murshidabad, Patna and Calcutta. The judges of these courts were the same as those of the provincial civil courts, but in their capacity as courts of circuit they toured their provinces and administered criminal justice.
At the head was the Sadar Nizamat Adalat at Calcutta from which Mohammad Raza Khan was removed and his place was taken by the Governor-General and members of the Supreme Council assisted by Indian advisers, and the court was removed from Murshidabad to Calcutta.
The Law to be administered was Muslim law in criminal cases and the personal law of the parties in civil cases, supplemented by the ideas of English law. Often there was a conflict between the two and notions of English Law, strange to the parties, were imparted by the English Judges.
The Cornwallis Code:
A comprehensive body of rules dealing with every department of the state was drawn up. In accordance with these rules the business of the state was to proceed. A clear division between the administrative and commercial services was made and servants of the company were asked to make their choice.
By 1793 it became clear that the Board of Revenue could not deal with the huge number of cases concerning revenue that cropped up. Arrears accumulated, people lamented the laws delay, and some remedy became urgent.
Accordingly in each district ‘Mai Adalats’ were created at the head of which was placed the collector who was re-invested with revenue powers, his revenue functions developing on assistants.
Thus by 1793 Cornwallis, by strenuous labour had separated the administrative and commercial services and built up that fabric, which with certain modifications is in existence even today. In that fabric Europeans were to dominate the whole show and the collectors was the central piece, the main link between the District and the Supreme Government.
It is true that all the pieces of the administrative structure were in existence when Cornwallis put his hands to its, but it was his administrative acumen that give a shape, a cohesion and a harmony to them.
He put those pieces together in their proper places and hammered them into a system. That was the measure of his success and achievement. To safeguard the Indians against oppression it was provided that the collectors at revenue and indeed of all offices of Government shall be amenable to courts for acts done in their official capacities, and that government itself in cases in which it may be a party with its subjects in matters of property shall submit its rights to be tried in courts under the existing laws and regulations. By this provision Cornwallis introduced the rule of law in India.
Reform of Criminal Law:
If Warren Hastings had asserted the right of the company’s government to interfere with the administration of law, Cornwallis maintained that the company had the right to reform the Criminal Law itself. The Mohammedans take their criminal law to be divinely ordained.
During 1790-93 Cornwallis introduced certain changes in the criminal law which were regularised by a Parliamentary Act of 1797.
In December 1790 a rule was framed for the guidance of Mohammedan law officers that in all trials of murder they were to be guided by the intention of the murderer either evident or fairly inferable and not by the manner or instrument of perpetration.
Further in case of murder, the will of the heir or kindred of the deceased were not to be allowed to operate in the grant of pardon or in the demand of compensation money as a price of blood.
Again, the usual punishment of amputation of limbs of body was replaced by temporary hard labour or fine and imprisonment according to circumstances of the case. Regulation IX 1793 amended the law of evidence by providing that the religious persuasions of witnesses shall not be considered as a bar to the conviction or condemnation of a prisoner.
Thus non-Muslims could give testimony against Muslims in criminal cases not permitted so far according to the Muslim law of evidence.
Reforms in the Police:
Cornwallis also made reforms in the police. Hitherto it was the duty of the Zainindars to establish peace and order and arrested the suspected persons. Cornwallis changed the system. He took away the police power from the Zamindars and divided the district in the small units.
Each such small unit was placed under the charge of a ‘Daroga’, or superintendent and the representative of the company living in the district supervised over the incharges of these units. In the police service he also appointed European and fixed their duties and salaries.
Cornwallis found corruption rampant in the Commercial Department. The company’s servants made huge profits in the goods they sent to England on their personal accounts. Ever since the establishment of the Board of Trade at Calcutta in 1774 the company had pocured goods through European and Indian contractors.
The contractors usually supplied goods at high prices and the inferior quality. The members of the Board of Trade rather than checking the malpractices of the contractors were often found to be in league with them by accepting bribes and commissions.
Cornwallis remarked that “the warehouses at Calcutta were a sink at corruption and inequity”. Cornwallis reduced the strength of the Board of Trade from eleven to five members. The method of procuring supplies through contracts was given up and the method of procuring supplies through commercial residents and agents begun.
These Commercial resident made advances to the manufacturers and settled prices with them. The company started getting supplies at cheaper rates. Thus Cornwallis put the commercial department of the Company on a footing on which it remained so long as the company traded.
Suppression of Bribery:
Himself Cornwallis was above the greed for money that has tarnished the names of Clive and Warren Hastings. Cornwallis forebade the company’s employees the acceptance of bribes or presents or indulgence in private trade.
He required each officer to declare his property under oath before he left India. He enforced this rule even though he had to dismiss some high officials. Cornwallis does nothing with the infamous credits of the Nawab of Carnatic but he prevented the further spread of this evil among the company’s servants.
Cornwallis’s approach to the problem was basic. He realised that the low salaries of the company’s servants tempted them to supplement their meagre income by corrupt or illegal methods.
Responsibility be held must be paid for or public official would abuse his trust. He decided to raise the salaries of the employees of the company A collector was to get a salary of Rs. 1500 per mensem with an additional allowance of 1 per cent on total revenue collected. District officials were provided with European assistance on good salaries. Cornwallis resisted the recommendation of even Prince of Wales.
Europeanisation of Administration Machinery:
Cornwallis policy of recial disemination was reflected in the administration. He had a very low opinion about Indian character ability and integrity. So he closed the doors of covenanted services to Indians.
He sought to reserve all the higher service for the Europeans and reduce Indians to the position of hewers of wood and drawers of water. In the army the Indians could not rise above the position of Zamidars on Subedars and in the Civil service not above the status of munsifs, Sadar Amins or Deputy Collector. Cornwallis used the official seal on the policy of racialism which soured Anglo-Indian relation till the end of British Rule in India.
The Permanent Settlement in Bengal:
The revenue administration was a complicated affair and no permanent decision was taken about it prior to the arrival of Lord Cornwallis in India. Cornwallis was specially directed to device a satisfactory solution to the land revenue. So Cornwallis after his arrival here initiated deep discussion in which loading part was taken by Sir John Shore, the President of the Board of Control, Mr. James Grant and Governor-General himself. The discussion pointed out three questions:
1. With whom was the settlement to be made-the Zamindars on the actual tillers of the soil?
2. The amount of state’s in share confronted the decisionmakers.
3. Should the settlement be for a term of year or permanent?
On these subjects two groups emerged James Grant pointed out that state was the owner of the all land in the country, the Zamindar was just the rent collecting agent and as such could be discarded at the will of the state.
On the other hand John Shore maintained that the Zamindar was the owner of the land subject to the payment of annual land revenue to the state. As such the Zamindar could bequeath the entire land to his children, sell it or mortgage it.
Another problem also confronted the decision-makers. The company officers did not possess adequate administrative experience to make a direct settlement with the ryot.
The system of farming estates to the highest bidder had been tried for long with undesirable consequence. So Cornwallis decided to make a settlement with Zamindars. First, it was proposed on the basis of the highest Mughal settlement, namely, that in force in 1765.
Ultimately it was decided that the settlement was to be made on the basis of the actual collections of the year 1790-91 which were put at Rs. 2, 68, 00,000.
Secondly, Cornwallis wanted to declare the settlement permanent and perpetual. He held the view that a ten year period was too limited to attract any Zamindar to improve the land. | 0.7 | medium | 6 | 2,529 | [
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in Data Studio
Sutra 10B Pretraining Dataset
A high-quality pedagogical dataset designed for LLM pretraining, containing 10,193,029 educational entries totaling over 10 billion tokens. This is the largest dataset in the Sutra series, designed to demonstrate that dense, curated datasets can provide best-in-class pretraining performance for small language models.
Dataset Description
This dataset was generated using the Sutra framework, which creates structured educational content optimized for language model pretraining. Each entry is designed to maximize learning efficiency through:
- Clear pedagogical structure: Content follows proven educational patterns
- Cross-domain connections: Concepts are linked across disciplines
- Varied complexity levels: From foundational (level 1) to advanced (level 10)
- Quality-controlled generation: All entries meet minimum quality thresholds
- Diverse content types: 33 different pedagogical formats
- Rich metadata: Every entry annotated with 13 structured fields
Dataset Statistics
| Metric | Value |
|---|---|
| Total Entries | 10,193,029 |
| Total Tokens | 10,218,677,925 |
| Avg Tokens/Entry | 1002 |
| Avg Quality Score | 0.701 |
| Tokenizer | SmolLM2 (HuggingFaceTB/SmolLM2-135M) |
Domain Distribution
| Domain | Entries | Tokens | Percentage |
|---|---|---|---|
| interdisciplinary | 3,561,052 | 3570.0M | 34.9% |
| technology | 2,154,481 | 2159.9M | 21.1% |
| science | 1,456,708 | 1460.3M | 14.3% |
| social_studies | 862,288 | 864.4M | 8.5% |
| mathematics | 830,414 | 832.5M | 8.1% |
| life_skills | 559,667 | 561.1M | 5.5% |
| arts_and_creativity | 455,738 | 456.9M | 4.5% |
| language_arts | 235,957 | 236.5M | 2.3% |
| philosophy_and_ethics | 76,724 | 76.9M | 0.8% |
Content Type Distribution (Top 15)
| Content Type | Count | Percentage |
|---|---|---|
| historical_context | 3,082,957 | 30.2% |
| concept_introduction | 928,244 | 9.1% |
| data_analysis | 776,495 | 7.6% |
| worked_examples | 697,861 | 6.8% |
| problem_set | 676,977 | 6.6% |
| tutorial | 620,163 | 6.1% |
| technical_documentation | 520,246 | 5.1% |
| research_summary | 494,023 | 4.8% |
| code_implementation | 473,056 | 4.6% |
| practical_application | 438,157 | 4.3% |
| creative_writing | 337,065 | 3.3% |
| reasoning_demonstration | 227,343 | 2.2% |
| qa_pairs | 200,076 | 2.0% |
| ethical_analysis | 157,882 | 1.5% |
| experiment_design | 141,859 | 1.4% |
Data Sources
Sutra-10B was created by scaling the same recipe used for Sutra-1B from 1 billion to 10 billion tokens. The core pedagogical content was generated using the Sutra framework, then mixed with several high-quality open datasets for diversity:
| Source | Description | Approximate Tokens |
|---|---|---|
| Sutra (core) | Pedagogical content generated with the Sutra framework, scaled from the 1B recipe | ~7.8B |
| Nemotron-CC-Math v1 | High-quality mathematical content (NVIDIA) | ~0.5B |
| OpenWebMath | Mathematical web content | ~0.5B |
| Wikipedia (English) | Encyclopedic knowledge | ~0.5B |
| Cosmopedia | Synthetic educational content (multiple subsets) | ~0.5B |
| FineWeb-Edu | High-quality educational web content | ~0.5B |
Data Fields
Each entry contains 13 structured fields:
| Field | Type | Description |
|---|---|---|
id |
string | Unique identifier (UUID) |
concept_name |
string | The concept being taught (2-5 words) |
domain |
string | Primary knowledge domain (9 domains) |
content_type |
string | Type of pedagogical content (33 types) |
text |
string | The main educational content |
quality_score |
float | Quality assessment score (0.0-1.0) |
information_density |
string | Measure of information per token (low/medium/high) |
complexity_level |
integer | Difficulty level (1-10) |
token_count |
integer | Number of tokens (SmolLM2 tokenizer) |
prerequisites |
list[string] | Required prior knowledge concepts |
builds_to |
list[string] | Advanced concepts this enables |
cross_domain_connections |
list[string] | Related knowledge domains |
quality_assessment |
object | Multi-dimensional quality scores |
Quality Assessment Sub-fields
| Sub-field | Type | Description |
|---|---|---|
clarity |
float | How clear and readable (0.0-1.0) |
accuracy |
float | Factual correctness (0.0-1.0) |
pedagogy |
float | Educational structure quality (0.0-1.0) |
engagement |
float | How engaging the content is (0.0-1.0) |
depth |
float | Depth of coverage (0.0-1.0) |
creativity |
float | Creative presentation (0.0-1.0) |
Valid Domains (9)
mathematics, science, technology, language_arts, social_studies, arts_and_creativity, life_skills, philosophy_and_ethics, interdisciplinary
Valid Content Types (33)
concept_introduction, reasoning_demonstration, code_implementation, technical_documentation, tutorial, cross_domain_bridge, worked_examples, qa_pairs, common_misconceptions, meta_learning, synthesis, prerequisite_scaffolding, code_explanation, diagnostic_assessment, code_debugging, historical_context, research_summary, problem_set, case_study, analogy, experiment_design, proof, algorithm_analysis, data_analysis, ethical_analysis, comparative_analysis, creative_writing, debate_argument, practical_application, thought_experiment, visualization, system_design, review_summary
Data Cleaning
The dataset underwent comprehensive cleaning:
- Deduplication: SHA-256 hash-based exact duplicate removal across all sources
- Quality Filtering: Entries below quality_score 0.3 removed
- Length Filtering: Entries shorter than 50 tokens or longer than 65,536 tokens removed
- Garbage Detection: Repetitive content, control characters, non-English content filtered
- Field Validation: All 13 fields validated and normalized
Metadata Generation
Metadata was generated using heuristic keyword-based classification:
- Domain and content type classification via pattern matching and text analysis
- Quality scores computed from text statistics (vocabulary diversity, structure, length)
- Token counts computed using SmolLM2 tokenizer for accuracy
Usage
from datasets import load_dataset
# Load the full dataset
ds = load_dataset("codelion/sutra-10B", split="train")
# Stream for large-scale training
ds = load_dataset("codelion/sutra-10B", split="train", streaming=True)
# Filter by domain
math_ds = ds.filter(lambda x: x["domain"] == "mathematics")
# Filter by quality
high_quality = ds.filter(lambda x: x["quality_score"] > 0.7)
# Filter by complexity
beginner = ds.filter(lambda x: x["complexity_level"] <= 3)
Scaling Trajectory
Sutra-10B is the largest dataset in the Sutra series, scaling the original 1B recipe by 10x. When evaluated on SmolLM2-70M (69M parameters), benchmark performance remains consistent across scales, suggesting the model has reached its capacity ceiling. Larger models are expected to benefit more from the additional data and diversity.
Intended Use
This dataset is designed for:
- LLM Pretraining: High-quality educational content for foundational model training
- Domain-specific fine-tuning: Subset by domain for specialized training
- Educational AI research: Studying pedagogical content generation
- Curriculum learning: Progressive complexity for staged training
- Small model optimization: Demonstrating data quality > quantity for small LMs
Related Datasets
- sutra-1B: 1B token pretraining dataset
- sutra-100M: 100M token subset
- sutra-30k-seeds: Instruction prompts for post-training
- sutra-magpie-sft: SFT dataset
License
Apache 2.0
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