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In the $k_T$-factorization for exclusive processes, the nontrivial
$k_T$-dependence of perturbative coefficients, or hard parts, is obtained by
taking off-shell partons. This brings up the question of whether the
$k_T$-factorization is gauge invariant. We study the $k_T$-factorization for
the case $\pi \gamma^* \to \gamma$ at one-loop in a general covariant gauge.
Our results show that the hard part contains a light-cone singularity that is
absent in the Feynman gauge, which indicates that the $k_T$-factorization is
{\it not} gauge invariant. These divergent contributions come from the
$k_T$-dependent wave function of $\pi$ and are not related to a special
process. Because of this fact the $k_T$-factorization for any process is not
gauge invariant and is violated. Our study also indicates that the
$k_T$-factorization used widely for exclusive B-decays is not gauge invariant
and is violated.
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The Algebraic lambda-calculus and the Linear-Algebraic lambda-calculus extend
the lambda-calculus with the possibility of making arbitrary linear
combinations of terms. In this paper we provide a fine-grained, System F-like
type system for the linear-algebraic lambda-calculus. We show that this
"scalar" type system enjoys both the subject-reduction property and the
strong-normalisation property, our main technical results. The latter yields a
significant simplification of the linear-algebraic lambda-calculus itself, by
removing the need for some restrictions in its reduction rules. But the more
important, original feature of this scalar type system is that it keeps track
of 'the amount of a type' that is present in each term. As an example of its
use, we shown that it can serve as a guarantee that the normal form of a term
is barycentric, i.e that its scalars are summing to one.
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Early detection of significant traumatic events, e.g. a terrorist attack or a
ship capsizing, is important to ensure that a prompt emergency response can
occur. In the modern world telecommunication systems could play a key role in
ensuring a successful emergency response by detecting such incidents through
significant changes in calls and access to the networks. In this paper a
methodology is illustrated to detect such incidents immediately (with the delay
in the order of milliseconds), by processing semantically annotated streams of
data in cellular telecommunication systems. In our methodology, live
information about the position and status of phones are encoded as RDF streams.
We propose an algorithm that processes streams of RDF annotated
telecommunication data to detect abnormality. Our approach is exemplified in
the context of a passenger cruise ship capsizing. However, the approach is
readily translatable to other incidents. Our evaluation results show that with
a properly chosen window size, such incidents can be detected efficiently and
effectively.
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The dust extinction of gamma-ray bursts (GRBs) host galaxies, containing
important clues to the nature of GRB progenitors and crucial for dereddening,
is still poorly known. Here we propose a straightforward method to determine
the extinction of GRB host galaxies by comparing the observed optical spectra
to the intrinsic ones extrapolated from the X-ray spectra. The rationale for
this method is from the standard fireball model: if the optical flux decay
index equals to that of the X-ray flux, then there is no break frequency
between the optical and X-ray bands, therefore we can derive the intrinsic
optical flux from the X-ray spectra. We apply this method to three GRBs of
which the optical and X-ray fluxes have the same decay indices and another one
with inferred cooling break frequency, and obtain the rest-frame extinction
curves of their host galaxies. The derived extinction curves are gray and do
not resemble any extinction curves of local galaxies (e.g. the Milk Way, the
Small/Large Magellanic Clouds, or nearby starburst galaxies). The amount of
extinction is rather large (with visual extinction $A_V$ $\sim$
1.6--3.4$\magni$). We model the derived extinction curves in terms of the
silicate-graphite interstellar grain model. As expected from the ``gray''
nature of the derived extinction curve, the dust size distribution is skewed to
large grains. We determine, for the first time, the local dust-to-gas ratios of
GRB host galaxies using the model-derived dust parameters and the hydrogen
column densities determined from X-ray absorptions.
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We present a computational method to evaluate the end-to-end and the contour
length distribution functions of short DNA molecules described by a mesoscopic
Hamiltonian. The method generates a large statistical ensemble of possible
configurations for each dimer in the sequence, selects the global equilibrium
twist conformation for the molecule and determines the average base pair
distances along the molecule backbone. Integrating over the base pair radial
and angular fluctuations, we derive the room temperature distribution functions
as a function of the sequence length. The obtained values for the most probable
end-to-end distance and contour length distance, providing a measure of the
global molecule size, are used to examine the DNA flexibility at short length
scales. It is found that, also in molecules with less than $\sim 60$ base
pairs, coiled configurations maintain a large statistical weight and,
consistently, the persistence lengths may be much smaller than in kilo-base
DNA.
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I won't buy again. Plan to give this away and get somethings like
I will not purchase this product again. Dogs (Yorkshire, Shih-Tzu) will only eat the outer coating and leave the inner portion laying on the floor. The inner appears to be similar to the plain rawhide chews. I your four legged friend doesn't mind those chews then this might be a good purchase for you. As for our dogs we will have to go with something more tasteful.
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When Pinky, a qualified electrician, is released from prison, his parole officer has found him a job working at a big city bank. When some of the crime underworld from his past learn of his position they plan to exploit it and rob the bank. Pinky is at first horrified because he really wants to go straight, but when a twist of fate happens Pinky begins to think one shouldn't look a gift horse in the mouth.<br /><br />Also known as The Mayfair Bank Caper {amongst others!}, this is a hugely enjoyable piece that is quintessential 1970s. London and all it's highly dubious fashions are lit up like a Christmas tree in Ralph Thomas and Guy Elmes' cunningly crafty caper. If the viewer can accept David Niven as an aged crime lord of some evility {it's not easy i can tell you}, then A Nightingale Sang in Berkeley Square could well surprise you. The actors aren't pulling up any trees for sure, but it's really not hurting the picture at all, it has an honest fun quality that is never less than entertaining. The score and soundtrack is perhaps guilty of over jollification during the dramatic criminal moments, but it's a minor complaint to leave me thinking this is an under seen British gem.<br /><br />Richard Jordan takes the lead role of Pinky (obviously hoping to lure in American viewers}, 70s heart throb Oliver Tobias {a mass of hair} is in there to keep the ladies interested, whilst the blokes get the pleasurable sight of Elke Sommer and her delightful legs for company. Moving along at a decent enough clip and containing a seriously rewarding finale, A Nightingale Sang in Berkeley Square deserves far better than the paltry 5.7 rating here on IMDb, but just how many people have seen it i wonder?, hmm, go on give it a go if you the chance, it's good stuff. 7/10
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In this work, we address the question of how a closed quantum system
thermalises in the presence of a random external potential. By investigating
the quench dynamics of the isolated quantum spherical $p$-spin model, a
paradigmatic model of a mean-field glass, we aim to shed new light on this
complex problem. Employing a closed-time Schwinger-Keldysh path integral
formalism, we first initialise the system in a random, infinite-temperature
configuration and allow it to equilibrate in contact with a thermal bath before
switching off the bath and performing a quench. We find evidence that
increasing the strength of either the interactions or the quantum fluctuations
can act to lower the effective temperature of the isolated system and stabilise
glassy behaviour.
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The nondegenerate Nevanlinna-Pick-Carath\'eodory-Fejer interpolation problem
with finitely many interpolation conditions always has infinitely many
solutions in a generalized Schur class $\cS_\kappa$ for every $\kappa\ge
\kappa_{\rm min}$ where the integer $\kappa_{\rm min}$ equals the number of
negative eigenvalues of the Pick matrix associated to the problem and
completely determined by interpolation data. A linear fractional description of
all $\cS_{\kappa_{\rm min}}$ solutions of the (nondegenerate) problem is well
known. In this paper, we present a similar result for an arbitrary $\kappa\ge
\kappa_{\rm min}$.
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In order to study the fundamental limits of network densification, we look at
the spatial spectral efficiency gain achieved when densely deployed
communication devices embedded in the $d$-dimensional Euclidean space are
optimally `matched' in near-neighbour pairs. In light of recent success in
probabilisitc modelling, we study devices distributed uniformly at random in
the unit cube which enter into one-on-one contracts with each another. This is
known in statistical physics as an Euclidean `matching'. Communication channels
each have their own maximal data capacity given by Shannon's theorem. The
length of the shortest matching then corresponds to the maximum one-hop
capacity on those points. Interference is then added as a further constraint,
which is modelled using shapes as guard regions, such as a disk, diametral
disk, or equilateral triangle, matched to points, in a similar light to
computational geometry. The disk, for example, produces the Delaunay
triangulation, while the diametral disk produces a beta-skeleton. We also
discuss deriving the scaling limit of both models using the replica method from
the physics of disordered systems.
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Let \mu denote a symmetric probability measure on
[-1,1] and let (p_n) be the corresponding orthogonal polynomials normalized
such that p_n(1)=1. We prove that the normalized Tur{\'a}n determinant
\Delta_n(x)/(1-x^2), where \Delta_n=p_n^2-p_{n-1}p_{n+1}, is a Tur{\'a}n
determinant of order n-1 for orthogonal polynomials with respect to
(1-x^2)d\mu(x). We use this to prove lower and upper bounds for the normalized
Tur{\'a}n determinant in the interval -1<x<1.
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It is well-known that there are automorphic eigenfunctions on
SL(2,Z)\SL(2,R)/SO(2,R) -- such as the classical $j$-function -- that have
exponential growth and have exponentially growing Fourier coefficients (e.g.,
negative powers of $q=e^{2\pi i z}$, or an I-Bessel function). We show that
this phenomenon does not occur on the quotient SL(3,Z)\SL(3,R)/SO(3,R) and
eigenvalues in general position (a removable technical assumption).
More precisely, if such an automorphic eigenfunction has at most exponential
growth, it cannot have non-decaying Whittaker functions in its Fourier
expansion. This confirms part of a conjecture of Miatello and Wallach, who
assert all automorphic eigenfunctions on this quotient (among other rank $\ge$
2 examples) always have moderate growth. We additionally confirm their
conjecture under certain natural hypotheses, such as the absolute convergence
of the eigenfunction's Fourier expansion.
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We show that moduli spaces of transversely cut-out (perturbed)
pseudo-holomorphic curves in an almost complex manifold carry canonical
relative smooth structures ("relative to the moduli space of domain curves").
The main point is that these structures can be characterized by a universal
property. The tools required are ordinary gluing analysis combined with some
fundamental results from the polyfold theory of Hofer--Wysocki--Zehnder.
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For most animal species, quick and reliable identification of visual objects
is critical for survival. This applies also to rodents, which, in recent years,
have become increasingly popular models of visual functions. For this reason in
this work we analyzed how various properties of visual objects are represented
in rat primary visual cortex (V1). The analysis has been carried out through
supervised (classification) and unsupervised (clustering) learning methods. We
assessed quantitatively the discrimination capabilities of V1 neurons by
demonstrating how photometric properties (luminosity and object position in the
scene) can be derived directly from the neuronal responses.
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I've seen this amusing little 'brit flick'many times. The only problem is Its currently unavailable on video or DVD. I'ts certainly a contender for a DVD release. The much missed Richard Jordan plays 'pinky' an Ex-pat American, whose Just been released from prison,he finds himself A job as an Electrician in a bank, it all goes well until he finds Himself Embroiled in a bank heist with his ex cronies, David Niven Plays the mastermind Ivan, Its an enjoyable little romp, hopefully studio canal or anchor bay, will come to the Rescue. Look out for john Rhys Davies Before he struck it big with 'shogun' Raiders of the lost Ark 'Lord Of The Rings' In a small role as a barrister,
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Its unfortunate that someone decided to spin off on the best horror movies of all time in my book. This poor copy steals lots of material from the first three films going as far as even copying how persons die and what will happen in the future to the key characters and it basically tries to cram in three films into one and fails. It fails even to create a good scary atmosphere for one (except with the odd exception where the impressive choral music brings back memories of the old films).<br /><br />The only thing we can be thankful for is that there has not been an Omen V.
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This movie is a perfect example of an excellent book getting ruined by a movie. Jacob Have I Loved is quite possibly the worst film that I have ever seen. There is no storyline, plots disappear, and the editing is awful. To top it all off, the music is straight from a synthesizer and sounds unbelievably terrible. Bridget Fonda's acting is decent, but everyone else's acting is totally amateur. I would suggest this movie to someone who is studying to be a producer as a study on how not to produce a movie as it is chock full of bad cut-scenes, bad transitions and acting that should have been re-shot! Read the book and don't waste your time with this film.
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Given the recent surge in developments of deep learning, this article
provides a review of the state-of-the-art deep learning techniques for audio
signal processing. Speech, music, and environmental sound processing are
considered side-by-side, in order to point out similarities and differences
between the domains, highlighting general methods, problems, key references,
and potential for cross-fertilization between areas. The dominant feature
representations (in particular, log-mel spectra and raw waveform) and deep
learning models are reviewed, including convolutional neural networks, variants
of the long short-term memory architecture, as well as more audio-specific
neural network models. Subsequently, prominent deep learning application areas
are covered, i.e. audio recognition (automatic speech recognition, music
information retrieval, environmental sound detection, localization and
tracking) and synthesis and transformation (source separation, audio
enhancement, generative models for speech, sound, and music synthesis).
Finally, key issues and future questions regarding deep learning applied to
audio signal processing are identified.
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A novel operational method for estimating the efficiency of quantum state
tomography protocols is suggested. It is based on a-priori estimation of the
quality of an arbitrary protocol by means of universal asymptotic fidelity
distribution and condition number, which takes minimal value for better
protocol. We prove the adequacy of the method both with numerical modeling and
through the experimental realization of several practically important protocols
of quantum state tomography.
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The development of ultra-light pixelated ladders is motivated by the
requirements of the ILD vertex detector at ILC. This paper summarizes three
projects related to system integration. The PLUME project tackles the issue of
assembling double-sided ladders. The SERWIETE project deals with a more
innovative concept and consists in making single-sided unsupported ladders
embedded in an extra thin plastic enveloppe. AIDA, the last project, aims at
building a framework reproducing the experimental running conditions where sets
of ladders could be tested.
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Don't order, Wrong Item
When people expect to get the product they ordered and instead got alcohol pads instead, so now in order for me to get a refund I have to mail back the alcohol pads that I didn't even order in the first place which is ridiculous, should have paid more attention to the other warnings on the reviews stating receiving wrong items, not ordering again. Buyers Beware!!
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QCD in non-integer $d=4-2\epsilon$ space-time dimensions enjoys conformal
invariance at the special fine-tuned value of the coupling. Counterterms for
composite operators in minimal subtraction schemes do not depend on $\epsilon$
by construction, and therefore the renormalization group equations for
composite operators in physical (integer) dimensions inherit conformal
symmetry. This observation can be used to restore the complete evolution
kernels that take into account mixing with the operators containing total
derivatives from their eigenvalues (anomalous dimensions). Using this approach
we calculate the two-loop (NLO) evolution kernels for the leading twist
flavor-singlet operators in the position space (light-ray operator)
representation. As the main result of phenomenological relevance, in this way
we are able to confirm the evolution equations of flavor-singlet generalized
hadron parton distributions derived earlier by Belitsky and M\"uller using a
different approach.
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We study the following combinatorial problem. Given a set of $n$ y-monotone
wires, a tangle determines the order of the wires on a number of horizontal
layers such that the orders of the wires on any two consecutive layers differ
only in swaps of neighboring wires. Given a multiset $L$ of swaps (that is,
unordered pairs of numbers between 1 and $n$) and an initial order of the
wires, a tangle realizes $L$ if each pair of wires changes its order exactly as
many times as specified by $L$. The aim is to find a tangle that realizes $L$
using the smallest number of layers. We show that this problem is NP-hard, and
we give an algorithm that computes an optimal tangle for $n$ wires and a given
list $L$ of swaps in $O((2|L|/n^2+1)^{n^2/2} \cdot \varphi^n \cdot n)$ time,
where $\varphi \approx 1.618$ is the golden ratio. We can treat lists where
every swap occurs at most once in $O(n!\varphi^n)$ time. We implemented the
algorithm for the general case and compared it to an existing algorithm.
Finally, we discuss feasibility for lists with a simple structure.
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We study the $l^p$ norms of a class of weighted mean matrices whose diagonal
terms are given by $n^{\alpha}/\sum^{n}_{i=1}i^{\alpha}$ with $\alpha > -1$.
The $l^p$ norms of such matrices are known for $p \geq 2, (\alpha+1)p >1$ and
$1<p \leq 4/3, 1/p \leq \alpha \leq 1$. In this paper, we determine the $l^p$
norms of such matrices for $p \geq 1.35, 0\leq \alpha \leq 1$.
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Humans perceive the seemingly chaotic world in a structured and compositional
way with the prerequisite of being able to segregate conceptual entities from
the complex visual scenes. The mechanism of grouping basic visual elements of
scenes into conceptual entities is termed as perceptual grouping. In this work,
we propose a new type of spatial mixture models with learnable priors for
perceptual grouping. Different from existing methods, the proposed method
disentangles the attributes of an object into ``shape'' and ``appearance''
which are modeled separately by the mixture weights and the mixture components.
More specifically, each object in the visual scene is fully characterized by
one latent representation, which is in turn transformed into parameters of the
mixture weight and the mixture component by two neural networks. The mixture
weights focus on modeling spatial dependencies (i.e., shape) and the mixture
components deal with intra-object variations (i.e., appearance). In addition,
the background is separately modeled as a special component complementary to
the foreground objects. Our extensive empirical tests on two perceptual
grouping datasets demonstrate that the proposed method outperforms the
state-of-the-art methods under most experimental configurations. The learned
conceptual entities are generalizable to novel visual scenes and insensitive to
the diversity of objects. Code is available at
https://github.com/jinyangyuan/learnable-deep-priors.
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I got my product and I love it. I’m still learning how to use it
I got my product and I love it. I’m still learning how to use it. I gave four stars because it didn’t come with any adapter. Only a short usb cable. I had to get one from the store.
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The choice of elastic energies for thin plates and shells is an unsettled
issue with consequences for much recent modeling of soft matter. Through
consideration of simple deformations of a thin body in the plane, we
demonstrate that four bulk isotropic quadratic elastic theories have
fundamentally different predictions with regard to bending behavior. At finite
thickness, these qualitative effects persist near the limit of mid-surface
isometry, and not all theories predict an isometric ground state. We discuss
how certain kinematic measures that arose in early studies of rod mechanics
lead to coherent definitions of stretching and bending, and promote the
adoption of these quantities in the development of a covariant theory based on
stretches rather than metrics.
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Graphene is a relatively new material (2004) made of atomic layers of carbon
arranged in a honeycomb lattice. Josephson junction devices are made from
graphene by depositing two parallel superconducting leads on a graphene flake.
These devices have hysteretic current-voltage characteristics with a
supercurrent branch and Shapiro steps appear when irradiated with microwaves.
These properties motivate us to investigate the presence of quantum metastable
states similar to those found in conventional current-biased Josephson
junctions. We present work investigating the nature of these metastable states
for ballistic graphene Josephson junctions. We model the effective Washboard
potential for these devices and estimate parameters, such as energy level
spacing and critical currents, to deduce the design needed to observe
metastable states. We propose devices consisting of a parallel on-chip
capacitor and suspended graphene. The capacitor is needed to lower the energy
level spacing down to the experimentally accessible range of 1-20 GHz. The
suspended graphene helps reduce the noise that may otherwise come from
two-level states in the insulating oxide layer. Moreover, back-gate voltage
control of its critical current introduces another knob for quantum control. We
will also report on current experimental progress in the area of fabrication of
this proposed device.
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"They (Oregonians) can contact the Oregon Department of Agriculture and state legislators, asking them to declare the genetically modified grass a pest and wipe it out in Oregon." How sad, "wiping it out" will probably take more poisoning in a state already being poisoned too much.
Surely Monsanto, Scott's partner, already has a super lethal herbicide that will kill this new "Frankengrass" along with who knows what else. Our state legislators have not stood up to Monsanto, whether it be in response to the misuse of their food, forest, or agricultural GMO's and poisons. We'll likely end up with the creators of this latest biological problem selling our representatives a poison that creates yet another set of problems.
Unfortunately, Oregon's Departments of Forestry and Agriculture, like our legislators, rarely represent Oregonians over big timber or chemical companies.
Perhaps they should get their pay and retirement checks from their corporate bosses instead of we taxpayers.
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In previous work, we noted that the known cases of hyper-K\"ahler manifolds
satisfy a natural condition on the LLV decomposition of the cohomology;
informally, the Verbitsky component is the dominant representation in the LLV
decomposition. Assuming this condition holds for all hyper-K\"ahler manifolds,
we obtain an upper bound for the second Betti number in terms of the dimension.
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Recent research used machine learning methods to predict a person's sexual
orientation from their photograph (Wang and Kosinski, 2017). To verify this
result, two of these models are replicated, one based on a deep neural network
(DNN) and one on facial morphology (FM). Using a new dataset of 20,910
photographs from dating websites, the ability to predict sexual orientation is
confirmed (DNN accuracy male 68%, female 77%, FM male 62%, female 72%). To
investigate whether facial features such as brightness or predominant colours
are predictive of sexual orientation, a new model based on highly blurred
facial images was created. This model was also able to predict sexual
orientation (male 63%, female 72%). The tested models are invariant to
intentional changes to a subject's makeup, eyewear, facial hair and head pose
(angle that the photograph is taken at). It is shown that the head pose is not
correlated with sexual orientation. While demonstrating that dating profile
images carry rich information about sexual orientation these results leave open
the question of how much is determined by facial morphology and how much by
differences in grooming, presentation and lifestyle. The advent of new
technology that is able to detect sexual orientation in this way may have
serious implications for the privacy and safety of gay men and women.
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Deep neural networks (DNNs) are vulnerable to subtle adversarial
perturbations applied to the input. These adversarial perturbations, though
imperceptible, can easily mislead the DNN. In this work, we take a control
theoretic approach to the problem of robustness in DNNs. We treat each
individual layer of the DNN as a nonlinear dynamical system and use Lyapunov
theory to prove stability and robustness locally. We then proceed to prove
stability and robustness globally for the entire DNN. We develop empirically
tight bounds on the response of the output layer, or any hidden layer, to
adversarial perturbations added to the input, or the input of hidden layers.
Recent works have proposed spectral norm regularization as a solution for
improving robustness against l2 adversarial attacks. Our results give new
insights into how spectral norm regularization can mitigate the adversarial
effects. Finally, we evaluate the power of our approach on a variety of data
sets and network architectures and against some of the well-known adversarial
attacks.
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We introduce a hierarchical classification of theories that describe systems
with fundamentally limited information content. This property is introduced in
an operational way and gives rise to the existence of mutually complementary
measurements, i.e. a complete knowledge of future outcome in one measurement is
at the expense of complete uncertainty in the others. This is characteristic
feature of the theories and they can be ordered according to the number of
mutually complementary measurements which is also shown to define their
computational abilities. In the theories multipartite states may contain
entanglement and tomography with local measurements is possible. The
classification includes both classical and quantum theory and also generalized
probabilistic theories with higher number of degrees of freedom, for which
operational meaning is given. We also discuss thought experiments
discriminating standard quantum theory from the generalizations.
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We study the expressivity of deep neural networks. Measuring a network's
complexity by its number of connections or by its number of neurons, we
consider the class of functions for which the error of best approximation with
networks of a given complexity decays at a certain rate when increasing the
complexity budget. Using results from classical approximation theory, we show
that this class can be endowed with a (quasi)-norm that makes it a linear
function space, called approximation space. We establish that allowing the
networks to have certain types of "skip connections" does not change the
resulting approximation spaces. We also discuss the role of the network's
nonlinearity (also known as activation function) on the resulting spaces, as
well as the role of depth. For the popular ReLU nonlinearity and its powers, we
relate the newly constructed spaces to classical Besov spaces. The established
embeddings highlight that some functions of very low Besov smoothness can
nevertheless be well approximated by neural networks, if these networks are
sufficiently deep.
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Largely forgettable tale in which mercenary Kerman & employer Agren travel into the jungle in search of Agren's missing sister.<br /><br />Despite its connection to the cannibal movie family, this film is more of an extreme version of Rene Cardona's "Guyana - Crime of the Century". Lenzi clearly aims to exploit the (at that time) topical Jonestown massacre, by depicting a rogue, self righteous zealot with a penchant for bigamy and just a hint of megalomania (played with ruthless intensity by Ivan Rassimov) leading his motley crew flock into self inflicted oblivion. With sister in toe, Kerman & Agren attempt to stop the rot, but after several failed coups, they end up fleeing into the "Green Inferno", only to run afoul the locals and their notorious appetites.<br /><br />One in a string of excessive gore fests that emerged in the late seventies/early eighties, where every new addition seemed to engage in a one-upmanship contest with its predecessor, by attempting to contrive the most gory and graphic display ever brought to motion pictures. This inferior instalment employs all the motifs and gimmicks of the others, but with much less success.<br /><br />Was it the so called "Amazonian natives" who looked like they were Bollywood rejects (this film was made on location in Sri Lanka), or the inept "decapitation" and "castration" scenes that seriously diminished the authenticity that was apparent in "Cannibal Holocaust"? You can decide. Without spoiling the conclusion, it appeared as though Lenzi put more emphasis in his shock and awe climax than in the basic requirement for a cohesive ending, where all loose ends are resolved. Most unsatisfying.<br /><br />As with the others, where the extent of the graphic depictions of violence toward humans is limited (thankfully), the filmmakers have spared no extreme in inflicting the worst possible cruelty on hapless animals in their pursuit of the most sadistic shocks. Unfortunately, the only thing shocking about this film is that it rates a mention among others of the ilk, that deal with the subject matter more convincingly.<br /><br />If there are any redeemable features at all, Kerman is an affable if somewhat one-dimensional leading man, and his bevy of scantily clad co-stars (Agren, Lai and Senatore) provide some visual respite from the relentless slayings.
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The Color Purple is a masterpiece. It displays the amazing acting abilities of Whoopi Goldberg, Oprah Winfrey, and Danny Glover. Not only is Steven Spielberg the most incredible director of all time but his versatility shines through in this film. If you ever want to see what a movie can do watch this. It's a beautiful portrayal of one of the most moving stories of all time!
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I wanted to like this movie, but many elements ruined it for me. The use of a fisheye lens throughout and choppy editing did not give me a sense of being in the world of the meth head, but it did make me think I was watching MTV for a few short moments. The movie never did seem to go anywhere and the acting was truly an excellent example of over acting. I love movies that give us a glimpse into the seedy underworld, but this film couldn't decide if it was a bad horror film or an even worse serious commentary on the horrors of addiction.
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The time fractional ODEs are equivalent to convolutional Volterra integral
equations with completely monotone kernels. We therefore introduce the concept
of complete monotonicity-preserving ($\mathcal{CM}$-preserving) numerical
methods for fractional ODEs, in which the discrete convolutional kernels
inherit the $\mathcal{CM}$ property as the continuous equations. We prove that
$\mathcal{CM}$-preserving schemes are at least $A(\pi/2)$ stable and can
preserve the monotonicity of solutions to scalar nonlinear autonomous
fractional ODEs, both of which are novel. Significantly, by improving a result
of Li and Liu (Quart. Appl. Math., 76(1):189-198, 2018), we show that the
$\mathcal{L}$1 scheme is $\mathcal{CM}$-preserving, so that the $\mathcal{L}$1
scheme is at least $A(\pi/2)$ stable, which is an improvement on stability
analysis for $\mathcal{L}$1 scheme given in Jin, Lazarov and Zhou (IMA J.
Numer. Analy. 36:197-221, 2016). The good signs of the coefficients for such
class of schemes ensure the discrete fractional comparison principles, and
allow us to establish the convergence in a unified framework when applied to
time fractional sub-diffusion equations and fractional ODEs.
The main tools in the analysis are a characterization of convolution inverses
for completely monotone sequences and a characterization of completely monotone
sequences using Pick functions due to Liu and Pego (Trans. Amer. Math. Soc.
368(12):8499-8518, 2016). The results for fractional ODEs are extended to
$\mathcal{CM}$-preserving numerical methods for Volterra integral equations
with general completely monotone kernels. Numerical examples are presented to
illustrate the main theoretical results.
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POORLY MADE CASE.
Worst Case ever !!!!! It's not compatible for the note 8 because it doesn't shut completely. It was poorly made. Don't waste your time purchasing this case. You will be very disappointed . IF I could give it zero stars I would but unfortunately Amazon won't let you
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Every once in a while I will rent an action/adventure film just as a way to relax and occupy my mind with nothing important. This is why I own a copy of Charlie's Angels (2000) - not a quality film, but it makes me laugh and allows me to unwind for a while. One of these days I will probably buy copies of The Princess Bride and a few Monty Python movies for much the same reason.<br /><br />In any case, I rented this film because I wanted to be entertained without being challenged. For the most part, I got what I wanted. The plot was something along the lines of a poorly written Xena episode, and the Kathy Long's acting was very community theater (not bad for a professional kick boxer and amateur actress). There were a few high points on the part of the cyborgs. Somehow they managed to get some pretty good actors to play the bad guys - unfortunately, most of them die pretty darned quick.<br /><br />Like most martial arts films, the further you get into the movie, the more emphasis there is on action, and the plot (which wasn't strong to begin with) deteriorates almost as quickly as the acting. However, the more Kathy Long fights, the more time the director devotes to her backside. By the end of the movie I was seriously considering watching it a second time just to count the number of times Kathy Long's tight red shorts were center screen.<br /><br />Unfortunately, there just wasn't enough meat to this film to make satisfying curiosity worth seeing the film a second time. If you are a hard core Xena fan in need of something to wile away a few hours - by all means, go to the grocery store and spend the .50 cents on the rental. There are some strong similarities between the show and this movie.<br /><br />Just don't expect anything more than to be mildly amused for a few hours.<br /><br />Unless, of course, you happen to like Kathy Long's derrière. THEN you might want to purchase a copy.
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In this work the dynamics of a spinning particle moving in the Schwarzschild
background is studied. In particular, the methods of Poincar\'{e} section and
recurrence analysis are employed to discern chaos from order. It is shown that
the chaotic or regular nature of the orbital motion is reflected on the
gravitational waves.
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The Bohl-Perron result on exponential dichotomy for a linear difference
equation $$ x(n+1)-x(n) + \sum_{l=1}^m a_l(n)x(h_l(n))=0, h_l(n)\leq n, $$
states (under some natural conditions) that if all solutions of the
non-homogeneous equation with a bounded right hand side are bounded, then the
relevant homogeneous equation is exponentially stable. According to its
corollary, if a given equation is {\em close} to an exponentially stable
comparison equation (the norm of some operator is less than one), then the
considered equation is exponentially stable.
For a difference equation with several variable delays and coefficients we
obtain new exponential stability tests using the above results, representation
of solutions and comparison equations with a positive fundamental function.
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I Liked this move when I was a kid, but now that I'm older I can see how absurd the plot really is. In case you didn't read the earlier reviews it's about a teenager and an Air Force Colonel who steal two fully loaded F-16s to rescue said teenager's dad.<br /><br />It does have some nice aerial stunts, even if the dialog accompanying then is basically teckno babel.<br /><br />Some unintentional humor in the edited for TV version. When the hero's dad is being held by Iran, err I mean an unnamed country, and his captors ask him for a confession (relating to why he's being held, don't worry about exactly why, or what they want him to confuse to.) he says "Tell him he can take my confession and shove it down his throat.". However his lips and, more importunely, his gesture make it clear what motion, and part of the anatomy, he was really thinking of.
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In this work we continue to study negative AKNS($N$) that is AKNS($-N$)
system for $N=3,4$. We obtain all possible local and nonlocal reductions of
these equations. We construct the Hirota bilinear forms of these equations and
find one-soliton solutions. From the reduction formulas we obtain also
one-soliton solutions of all reduced equations.
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In this paper, we study vector--valued elliptic operators of the form
$\mathcal{L}f:=\mathrm{div}(Q\nabla f)-F\cdot\nabla f+\mathrm{div}(Cf)-Vf$
acting on vector-valued functions $f:\mathbb{R}^d\to\mathbb{R}^m$ and involving
coupling at zero and first order terms. We prove that $\mathcal{L}$ admits
realizations in $L^p(\mathbb{R}^d,\mathbb{R}^m)$, for $1<p<\infty$, that
generate analytic strongly continuous semigroups provided that
$V=(v_{ij})_{1\le i,j\le m}$ is a matrix potential with locally integrable
entries satisfying a sectoriality condition, the diffusion matrix $Q$ is
symmetric and uniformly elliptic and the drift coefficients $F=(F_{ij})_{1\le
i,j\le m}$ and $C=(C_{ij})_{1\le i,j\le m}$ are such that
$F_{ij},C_{ij}:\mathbb{R}^d\to\mathbb{R}^d$ are bounded.
We also establish a result of local elliptic regularity for the operator
$\mathcal{L}$, we investigate on the $L^p$-maximal domain of $\mathcal{L}$ and
we characterize the positivity of the associated semigroup.
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I was excited to see this show when I started seeing the promos on A&E. I've been fascinated with ghosts and the paranormal since I was a kid, and love catching "Ghost Hunters" when it's on (SciFi Channel). I've tried to watch three episodes of "Paranormal State" and only use up my time commenting on it because it's so bad and perpetuates the notion that anyone who believes in the paranormal is a gullible freak. "Paranormal State" is beyond cheesy. Cheesy "Director's Log" voice-overs that will leave you wishing for Captain Kirk. Cheesy teasers going into commercial breaks that are taken completely out of context. Everything paranormal on this show is automatically assumed to be "evil" and the work of a demonic spirit. Then come the exorcists, demonologists, psychics ... like in "Poltergeist" you almost expect the team to leave and say "This house is clear." I very much appreciate the "Ghost Hunters" approach, where they go in to disprove claims, then take away what they can ... and they are almost always reassuring to the client (if they find anything) that haunted does not equal evil. "Paranormal State" is not "so bad it's good" ... it's just plain bad. Didn't A&E used to stand for "Arts & Entertainment"? The art part has long been gone, and the entertainment factor is now waning as well.
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Gold nanostructures have important applications in nanoelectronics,
nano-optics as well as in precision metrology due to their intriguing
opto-electronic properties. These properties are governed by the bulk band
structure but to some extend are tunable via geometrical resonances. Here we
show that the band structure of gold itself exhibits significant size-dependent
changes already for mesoscopic critical dimensions below 30 nm. To suppress the
effects of geometrical resonances and grain boundaries, we prepared atomically
flat ultrathin films of various thicknesses by utilizing large chemically grown
single-crystalline gold platelets. We experimentally probe thickness-dependent
changes of the band structure by means of two-photon photoluminescence and
observe a surprising 100-fold increase of the nonlinear signal when the gold
film thickness is reduced below 30 nm allowing us to optically resolve
single-unit-cell steps. The effect is well explained by density functional
calculations of the thickness-dependent 2D band structure of gold.
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Researcher - can you explain why Big Oil has spent billions over the last five years of so to advance a major gas sales if they weren't interested in the project? Why buy 600 acres in nikiski for an LNG facility? Why waist the time of hundreds of people, including their top LNG talent, on a project they didn't care about? Why spend the time and money on engineering and design work and gathering baseline data? Why secure DOE export approval and submit thousands of pages in resource reports to the FERC? Why put in aloof the infrastructure necessary to blow down Point Thomson?
Does Exxon really waste its shareholders money and their top talent on projects they aren't serious about?
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Let $\mathbb{N}$ denote the set of all nonnegative integers and $A$ be a
subset of $\mathbb{N}$. Let $h\geq2$ and let $r_h(A,n)=\sharp \{
(a_1,\ldots,a_h)\in A^{h}: a_1+\cdots+a_h=n\}.$ The set $A$ is called an
asymptotic basis of order $h$ if $r_h(A,n)\geq 1$ for all sufficiently large
integers $n$. An asymptotic basis $A$ of order $h$ is minimal if no proper
subset of $A$ is an asymptotic basis of order $h$. Recently, Chen and Tang
resoved a problem of Nathanson on minimal asymptotic bases of order $h$. In
this paper, we generalized this result to $g$-adic representations.
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What an awful movie! The Idea of robots fighting each other is cool, but the storyline is ridiculous, real human action laughable, acting non-existent and special effects (on which, this type of movie must depend) are archaic. I thought it must have been made around '80-'84 and was amazed to see it was from 1990. That's 5 years after Aliens! OK, lots of people said it was good considering the low budget, but I just think 'what's the point?'. it looks totally unbelievable. I wouldn't mind seeing a remake with modern special effects and a completely re-written story because I still like the idea of huge robots beating crap out of each other.
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We discuss the behaviour of the Dirac fermions in a general spherically
symmetric black hole background with a non-trivial topology of the event
horizon. Both massive and massless cases are taken into account. The analytical
studies of intermediate and late-time behaviour of massive Dirac hair in the
background of a black hole with a global monopole and dilaton black hole
pierced by a cosmic string will be conducted. It was revealed that in the case
of a global monopole swallowed by a static black hole the intermediate
late-time behaviour depends on the mass of the Dirac field, the multiple number
of the wave mode and the global monopole parameter. The late-time behaviour is
quite independent of these factors and has the decay rate proportional to
$t^{-5/6}$. As far as the black hole pierced by a cosmic string is concerned
the intermediate late-time behaviour depends only on the hair mass and the
multipole number of the wave mode while the late-time behaviour dependence is
the same as in the previous case. The main modification stems from the topology
of the $S^2$ sphere pierced by a cosmic string. This factor modifies the
eigenvalues of the Dirac operator acting on the transverse manifold.
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In this paper, we set up the theoretical foundations for a high-dimensional
functional factor model approach in the analysis of large cross-sections
(panels) of functional time series (FTS). We first establish a representation
result stating that, under mild assumptions on the covariance operator of the
cross-section, we can represent each FTS as the sum of a common component
driven by scalar factors loaded via functional loadings, and a mildly
cross-correlated idiosyncratic component. Our model and theory are developed in
a general Hilbert space setting that allows for mixed panels of functional and
scalar time series. We then turn to the identification of the number of
factors, and the estimation of the factors, their loadings, and the common
components. We provide a family of information criteria for identifying the
number of factors, and prove their consistency. We provide average error bounds
for the estimators of the factors, loadings, and common component; our results
encompass the scalar case, for which they reproduce and extend, under weaker
conditions, well-established similar results. Under slightly stronger
assumptions, we also provide uniform bounds for the estimators of factors,
loadings, and common component, thus extending existing scalar results. Our
consistency results in the asymptotic regime where the number $N$ of series and
the number $T$ of time observations diverge thus extend to the functional
context the "blessing of dimensionality" that explains the success of factor
models in the analysis of high-dimensional (scalar) time series. We provide
numerical illustrations that corroborate the convergence rates predicted by the
theory, and provide finer understanding of the interplay between $N$ and $T$
for estimation purposes. We conclude with an application to forecasting
mortality curves, where we demonstrate that our approach outperforms existing
methods.
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The optical bistability (OB) in a two-mode optomechanical system with a
Bose-Einstein condensate (BEC) is studied. By investigating the behavior of
steady state solutions, we show that how OB develops in the system for a
certain range of cavity-pump detunings and pump amplitudes. We then investigate
the effects of the decay rate of the cavity photons and coupling strength
between the cavity and the BEC as well as the pump-atom detuning on the optical
behaviour of the system. We find that one can control the OB threshold and
width of the bistability curve via adjusting properly the decay rate, coupling
strength and the detuning. By applying Routh-Hurwitz criterion, we then derive
stability conditions for different branches of the OB curve. Moreover, by
introducing an effective potential for the system, a simple physical
interpretation is obtained.
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In pTx MRI systems, the prediction of local SAR is based on numerical
electromagnetic (EM) simulations and used to scale RF power to ensure FDA SAR
limits are not exceeded. This prediction becomes more complex when
superposition of E-fields from multiple coupled coils are employed in parallel
transmission, each affected by dielectric and conductive properties of the
human body. It was demonstrated that incorrect inductive coupling used in
simulations of transmit array coil spatial excitation and SAR, leads to poor
accuracy of predicted excitation and SAR, and more importantly from a safety
perspective, underestimated local SAR by 19-40%.
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Chance constrained program is computationally intractable due to the
existence of chance constraints, which are randomly disturbed and should be
satisfied with a probability. This paper proposes a two-layer randomized
algorithm to address chance constrained program. Randomized optimization is
applied to search the optimizer which satisfies chance constraints in a
framework of parallel algorithm. Firstly, multiple decision samples are
extracted uniformly in the decision domain without considering the chance
constraints. Then, in the second sampling layer, violation probabilities of all
the extracted decision samples are checked by extracting the disturbance
samples and calculating the corresponding violation probabilities. The decision
samples with violation probabilities higher than the required level are
discarded. The minimizer of the cost function among the remained feasible
decision samples are used to update optimizer iteratively. Numerical
simulations are implemented to validate the proposed method for non-convex
problems comparing with scenario approach. The proposed method exhibits better
robustness in finding probabilistic feasible optimizer.
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A commonplace view of pressure-driven turbulence in pipes and channels is as
"cascades" of streamwise momentum toward the viscous layer at the wall. We
present in this paper an alternative picture of these flows as "inverse
cascades" of spanwise vorticity, in the cross-stream direction but away from
the viscous sublayer. We show that there is a constant spatial flux of spanwise
vorticity, due to vorticity conservation, and that this flux is necessary to
produce pressure-drop and energy dissipation. The vorticity transport is shown
to be dominated by viscous diffusion at distances closer to the wall than the
peak Reynolds stress, well into the classical log-layer. The Perry-Chong model
based on "representative" hairpin/horsehoe vortices predicts a single sign of
the turbulent vorticity flux over the whole log-layer, whereas the actual flux
must change sign at the location of the Reynolds-stress maximum. Sign-reversal
may be achieved by assuming a slow power-law decay of the Townsend "eddy
intensity function" for wall-normal distances greater than the hairpin
length-scale. The vortex-cascade picture presented here has a close analogue in
the theory of quantum superfluids and superconductors, the "phase slippage" of
quantized vortex lines. Most of our results should therefore apply as well to
superfluid turbulence in pipes and channels. We also discuss issues about
drag-reduction from this perspective.
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Like last year, I didn't manage to sit through the whole thing. Okay, so Chris Rock as a host was a good choice because he was vaguely engaging. Or rather, out of all the total bores packed into the theatre, he at least wasn't in the Top 10 Most Boring. A lot of the presenters, on the other hand, were in this coveted Top 10. I hadn't known that the whole thing had been done by autocue (although I knew it was scripted) but it was really terrible to see these supposedly good actors unable to insert expression, look away from the cue and stumble over simple words (Natalie Portman
if there's no director, she's gone). The Night of Fancy Dresses and Boring Speeches was long and tedious, Beyonce Knowles butchered some good songs and there were very few decent acceptance speeches and clips. Adam Sandler wins the Worst Presenter award.<br /><br />For helping me write this review I'd like to thank my Mum, my Dad, my lawyers and my pedicurist for all believing in me, and I'd like to point out that I have a high metabolism and of course I haven't been starving myself for a month. I'm not going to cry...thank you.
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We show that in the category of effective $Z$ dynamical systems there is a
universal system, i.e. one that factors onto every other effective system. In
particular, for d $\geq 3$ there exist d-dimensional shifts of finite type
which are universal for 1-dimensional subactions of SFTs. On the other hand, we
show that there is no universal effective $Z^d$-system for $d>1$, and in
particular SFTs cannot be universal for subactions of rank $d>1$. As a
consequence, a decrease in entropy and Medvedev degree and periodic data are
not sufficient for a factor map to exists between SFTs.
We also discuss dynamics of cellular automata on their limit sets and show
that (except for the unavoidable presence of a periodic point) they can model a
large class of physical systems.
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In this paper, we reformulate the forest representation learning approach as
an additive model which boosts the augmented feature instead of the prediction.
We substantially improve the upper bound of generalization gap from
$\mathcal{O}(\sqrt\frac{\ln m}{m})$ to $\mathcal{O}(\frac{\ln m}{m})$, while
$\lambda$ - the margin ratio between the margin standard deviation and the
margin mean is small enough. This tighter upper bound inspires us to optimize
the margin distribution ratio $\lambda$. Therefore, we design the margin
distribution reweighting approach (mdDF) to achieve small ratio $\lambda$ by
boosting the augmented feature. Experiments and visualizations confirm the
effectiveness of the approach in terms of performance and representation
learning ability. This study offers a novel understanding of the cascaded deep
forest from the margin-theory perspective and further uses the mdDF approach to
guide the layer-by-layer forest representation learning.
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In this paper we propose a convolutional neural network that is designed to
upsample a series of sparse range measurements based on the contextual cues
gleaned from a high resolution intensity image. Our approach draws inspiration
from related work on super-resolution and in-painting. We propose a novel
architecture that seeks to pull contextual cues separately from the intensity
image and the depth features and then fuse them later in the network. We argue
that this approach effectively exploits the relationship between the two
modalities and produces accurate results while respecting salient image
structures. We present experimental results to demonstrate that our approach is
comparable with state of the art methods and generalizes well across multiple
datasets.
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The M2 light tank, officially Light Tank, M2, was an American pre-World War II light tank, the most common model, the M2A4, was equipped with one 37 mm M5 gun and five of which .30 caliber medium machine gun that was widely used during the 20th century, especially during World War II, the Korean War, and the Vietnam War?
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The 2-dimensional Hamming graph H(2,n) consists of the $n^2$ vertices
$(i,j)$, $1\leq i,j\leq n$, two vertices being adjacent when they share a
common coordinate. We examine random subgraphs of H(2,n) in percolation with
edge probability $p$, so that the average degree $2(n-1)p=1+\epsilon$. Previous
work by van der Hofstad and Luczak had shown that in the barely supercritical
region $n^{-2/3}\ln^{1/3}n\ll \epsilon \ll 1$ the largest component has size
$\sim 2\epsilon n$. Here we show that the second largest component has size
close to $\epsilon^{-2}$, so that the dominant component has emerged. This
result also suggests that a {\it discrete duality principle} might hold,
whereby, after removing the largest connected component in the supercritical
regime, the remaining random subgraphs behave as in the subcritical regime.
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4 separate locks
Nice looking and sturdy, though rubber trim on top seems flimsy (and unnecessary). Easier to install than I expected, though it still makes me long for the racks I had with my earlier Volvo that simply snapped on and were secured by pins concealed by the closed doors. (The new V60 has sockets for this but I was unable to find a rack that would take advantage of them.) These racks are secured by covers with keyed lock at each support.
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Do Not Buy!!!
I bought this item after seeing all those good reviews. The ui was very laggy. Netflix would not update. The remote was hard to operate. I had to press really hard on the buttons for it to work. I am returning it. Do not waste your time or money on this.
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Interfered with electrical system in my car
I originally was pretty happy with this charger. Both the charger and the cord seemed to be of high quality and it charged my phone well. However, I started having issues with my TPMS lighting up, despite my tires having perfect air pressure. This happened off and on, and were about to take the car into the mechanic when someone suggested it was the new car charger, that the cheapo chargers from overseas can mess with your car - took the charger out of the outlet, and no more TPMS issues! Just something to keep in mind if you decide to buy this - if your car alerts start lighting up, check your charger.
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Data aggregation is a promising approach to enable massive machine-type
communication (mMTC). Here, we first characterize the aggregation phase where a
massive number of machine-type devices transmits to their respective
aggregator. By using non-orthogonal multiple access (NOMA), we present a hybrid
access scheme where several machine-type devices (MTDs) share the same
orthogonal channel. Then, we assess the relaying phase where the aggregatted
data is forwarded to the base station. The system performance is investigated
in terms of average number of MTDs that are simultaneously served under
imperfect successive interference cancellation (SIC) at the aggregator for two
scheduling schemes, namely random resource scheduling (RRS) and
channel-dependent resource scheduling (CRS), which is then used to assess the
performance of data forwarding phase.
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We study the effect of local projective measurements on the quantum quench
dynamics. As a concrete example, a one-dimensional Bose-Hubbard model is
simulated by the matrix product state and time-evolving block decimation. We
map out a global phase diagram in terms of the measurement rate in spatial
space and time domain, which demonstrates a volume-to-area law entanglement
phase transition. When the measurement rate reaches the critical value, we
observe a logarithmic growth of entanglement entropy as the subsystem size or
evolved time increases. Moreover, we find that the probability distribution of
the single-site entanglement entropy distinguishes the volume and area law
phases, similar to the case of disorder-induced many-body localization. We also
investigate the scaling behavior of entanglement entropy and mutual information
between two separated sites, which is indicative of a single universality class
and thus suggests a possible unified description of this transition.
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Faces are slashed, throats are cut, blood squirts, and in end the three main characters are either depressed or they die. They even blow up Kevin Costner's dog with a shotgun. Why would anyone want to see a movie like this? Violence is valid only when the good guys kill the bad guys, not the other way around. Take for instance Underworld and Underworld Evolution where you can enjoy seeing justice done when the demons are slain. In this movie, the good guys are cut up. See the difference? Why would anyone want to MAKE a movie that depresses the audience? Beautiful photography and skilled editing in a motion picture like this is a waste of talent. Let's put this one into the category of the exquisite corpse.
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The Eddington-inspired Born-Infeld (EiBI) gravity is a modification of the
theory of general relativity inspired by the nonlinear Born-Infeld
electrodynamics. The theory is described by a series of higher curvature terms
added to the Einstein-Hilbert action with the parameter $\kappa$. The EiBI
gravity has several interesting exact neutral and charged black hole solutions.
We study the problem of overcharging extremal black hole solutions of EiBI
gravity using a charged test particle to create naked singularity. We show that
unlike general relativity, the overcharging could be possible for a charged
extremal black hole in EiBI gravity as long as the matter sector is described
by usual Maxwell's electrodynamics. Once the matter sector is also modified in
accordance to the Born-Infeld prescription with the parameter $b$, the
overcharging is not possible as long as the parameters obey the condition $4
\kappa b^2 \leq 1$.
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We explore the potential of the CERN-LHC to access strongly interacting gauge
boson systems via weak-boson scattering processes with W+W-jj, ZZjj, W+Zjj and
W-Zjj final states, focusing on the leptonic decay modes of the gauge bosons.
Cross sections and kinematic distributions for two representative scenarios of
strong interactions in the weak sector and all relevant background processes
are computed with fully-flexible parton-level Monte-Carlo programs that allow
for the implementation of dedicated selection cuts. We find that models with
new resonances give rise to very distinctive distributions of the decay
leptons. The perturbative treatment of the signal processes is under excellent
control.
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Enjoy the movie; ordered from this listing and it did not have digital as it said it did
I quite like this movie, especially as I've been enjoying small cast movies lately. Ordered a version blu-ray plus digital, but it did not have digital when it came (at least not listed on the outside), so we sent it back in shrink. Digital is always marked on the outside, so if it has it and it's not marked, that's a problem too.
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600,000 stops and 80,000 arrests. 520,000 times there was no prohibited item or proof of a crime. 80,000 times there was. Okay. I hear that we need stricter gun control measure because it might save just 1 life. How is this different? I understand reasonable suspicion and probable cause. I support the broken windows and stop and frisk with the full knowledge that I probably will be stopped. I also know that to most Alaskans, the law is something to scoff at. Remember when the city went for photo radar? They tried to go the route of having only machines do it, then it was contracted out and a live person sat in a vehicle in school zones. It was fought by a majority of people because prior to the photo radar, speeders in school zones were rarely caught. You never will have enough cops to be in every school zone and the citizens of Anchorage know that. This is the same. It becomes a sick game of catch me, if you can.
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Common intermediate language representation in neural machine translation can
be used to extend bilingual to multilingual systems by incremental training. In
this paper, we propose a new architecture based on introducing an interlingual
loss as an additional training objective. By adding and forcing this
interlingual loss, we are able to train multiple encoders and decoders for each
language, sharing a common intermediate representation. Translation results on
the low-resourced tasks (Turkish-English and Kazakh-English tasks, from the
popular Workshop on Machine Translation benchmark) show the following BLEU
improvements up to 2.8. However, results on a larger dataset (Russian-English
and Kazakh-English, from the same baselines) show BLEU loses if the same
amount. While our system is only providing improvements for the low-resourced
tasks in terms of translation quality, our system is capable of quickly
deploying new language pairs without retraining the rest of the system, which
may be a game-changer in some situations (i.e. in a disaster crisis where
international help is required towards a small region or to develop some
translation system for a client). Precisely, what is most relevant from our
architecture is that it is capable of: (1) reducing the number of production
systems, with respect to the number of languages, from quadratic to linear (2)
incrementally adding a new language in the system without retraining languages
previously there and (3) allowing for translations from the new language to all
the others present in the system
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Mr Grootes has made some excellent points. It should have been up to the ANC to sort out this mess. The wishy washy path they went down says a lot about them. There was good political mileage available at the time for opposition parties to use. They didn't use the ammunition given to them. Zuma is a problem. But he is mainly an ANC problem. My suggestion is that the ANC be embarrassed into action.
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Nakayama automorphisms play an important role in several mathematical
branches, which are known to be tough to compute in general. We compute the
Nakayama automorphism $\nu$ of any Ore extension $R[x; \sigma, \delta]$ over a
polynomial algebra $R$ in $n$ variables for an arbitrary $n$. The formula of
$\nu$ is obtained explicitly. When $\sigma$ is not the identity map, the
invariant $E^G$ is also investigated in term of Zhang's twist, where $G$ is a
cyclic group sharing the same order with $\sigma$.
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just okay
The concept of wireless is charging and it's a relatively inexpensive piece for what it is. My problems are that it's really hard to find the spot where it charges, and even then it stops charging periodically. The light itself also is either too bright and keeps me up or too low and I can't see it during daytime.
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An effective method to generate a large number of parallel sentences for
training improved neural machine translation (NMT) systems is the use of the
back-translations of the target-side monolingual data. The standard
back-translation method has been shown to be unable to efficiently utilize the
available huge amount of existing monolingual data because of the inability of
translation models to differentiate between the authentic and synthetic
parallel data during training. Tagging, or using gates, has been used to enable
translation models to distinguish between synthetic and authentic data,
improving standard back-translation and also enabling the use of iterative
back-translation on language pairs that underperformed using standard
back-translation. In this work, we approach back-translation as a domain
adaptation problem, eliminating the need for explicit tagging. In the approach
-- \emph{tag-less back-translation} -- the synthetic and authentic parallel
data are treated as out-of-domain and in-domain data respectively and, through
pre-training and fine-tuning, the translation model is shown to be able to
learn more efficiently from them during training. Experimental results have
shown that the approach outperforms the standard and tagged back-translation
approaches on low resource English-Vietnamese and English-German neural machine
translation.
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and the southern part of Italy everything is like that you know and no one has any money you know you just barely get by But everybody is like a big family and it's like it's just like that so that's why i liked it i guess i'm a little biased but i i i i i thought
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Atomistic simulations using an EAM potential are carried out to investigate
the first stages of plasticity in aluminum slabs, in particular the effect of
both temperature and step geometry on the nucleation of dislocations from
surface steps. Temperature is shown to significantly reduce the elastic limit,
and to activate the nucleation of dislocation half-loops. Twinning occurs by
successive nucleations in adjacent glide planes. The presence of a kinked step
is shown to have no influence on the nucleation mechanisms.
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We present a numerical study of a quantum phase transition from a
spin-polarized to a topologically ordered phase in a system of spin-1/2
particles on a torus. We demonstrate that this non-symmetry-breaking
topological quantum phase transition (TOQPT) is of second order. The transition
is analyzed via the ground state energy and fidelity, block entanglement,
Wilson loops, and the recently proposed topological entropy. Only the
topological entropy distinguishes the TOQPT from a standard QPT, and
remarkably, does so already for small system sizes. Thus the topological
entropy serves as a proper order parameter. We demonstrate that our conclusions
are robust under the addition of random perturbations, not only in the
topological phase, but also in the spin polarized phase and even at the
critical point.
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We prove that there exists a unique ellipse of minimal eccentricity, E_{I},
inscribed in a parallelogram, D. We also prove that the smallest nonnegative
angle between equal conjugate diameters of E_{I} equals the smallest
nonnegative angle between the diagonals of D. We also prove that if E_{M} is
the unique ellipse inscribed in a rectangle, R, which is tangent at the
midpoints of the sides of R, then E_{M} is the unique ellipse of minimal
eccentricity, maximal area, and maximal arc length inscribed in R. Let D be any
convex quadrilateral. In previous papers, the author proved that there is a
unique ellipse of minimal eccentricity, E_{I}, inscribed in D, and a unique
ellipse, E_{O}, of minimal eccentricity circumscribed about D. We defined D to
be bielliptic if E_{I} and E_{O} have the same eccentricity. In this paper we
show that a parallelogram, D, is bielliptic if and only if the square of the
length of one of the diagonals of D equals twice the square of the length of
one of the sides of D.
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A purely electronic mechanism is proposed for the unconventional
superconductivity recently observed in twisted bilayer graphene (tBG) close to
the magic angle. Using the Migdal-Eliashberg framework on a one parameter
effective lattice model for tBG we show that a superconducting state can be
achieved by means of collective electronic modes in tBG. We posit robust
features of the theory, including an asymmetrical superconducting dome and the
magnitude of the critical temperature that are in agreement with experiments.
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I love to see all of the "experts" and the adn assigning motives to people who don't support an income tax that insinuate that it is because they are greedy, corrupt, etc...while ignoring the main reason shown in polls and stated in public testimony - the state budget has not been reduced enough. The house increased the size of government. If legislators ae unwilling to reduce even the simple things that don't result in layoffs or a reduction of services - like funded, unfilled positons - why would we give them more money? Its interesting that Keithley only attacks the Senate majority, when the house is proposing to do the same thing - and add a myriad of new taxes?
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Very silly high school/teen flick about geeks trying to prove themselves better than the rich brats. Sound familiar? This television movie from director Rod Amateau ("Uncommon Valour" and some "Dukes of Hazaard" episodes believe it or not) says nothing, does nothing, and surely will entertain very few.<br /><br />Notable for its "who's who" of television cast, including Michael J. Fox, Bob Denver ("Gilligan"), and Todd Bridges ("Different Strokes"). This lame effort barely limps over the line. Also stars Anthony Edwards ("E.R.").<br /><br />Saturday, September 5, 1998 - Video
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We report the discovery of an intermediate-mass transiting brown dwarf,
TOI-503b, from the TESS mission. TOI-503b is the first brown dwarf discovered
by TESS and orbits a metallic-line A-type star with a period of $P=3.6772 \pm
0.0001$ days. The light curve from TESS indicates that TOI-503b transits its
host star in a grazing manner, which limits the precision with which we measure
the brown dwarf's radius ($R_b = 1.34^{+0.26}_{-0.15} R_J$). We obtained
high-resolution spectroscopic observations with the FIES, Ond\v{r}ejov, PARAS,
Tautenburg, and TRES spectrographs and measured the mass of TOI-503b to be $M_b
= 53.7 \pm 1.2 M_J$. The host star has a mass of $M_\star = 1.80 \pm 0.06
M_\odot$, a radius of $R_\star = 1.70 \pm 0.05 R_\odot$, an effective
temperature of $T_{\rm eff} = 7650 \pm 160$K, and a relatively high metallicity
of $0.61\pm 0.07$ dex. We used stellar isochrones to derive the age of the
system to be $\sim$180 Myr, which places its age between that of RIK 72b (a
$\sim$10 Myr old brown dwarf in the Upper Scorpius stellar association) and AD
3116b (a $\sim$600 Myr old brown dwarf in the Praesepe cluster). We argue that
this brown dwarf formed in-situ, based on the young age of the system and the
long circularization timescale for this brown dwarf around its host star.
TOI-503b joins a growing number of known short-period, intermediate-mass brown
dwarfs orbiting main sequence stars, and is the second such brown dwarf known
to transit an A star, after HATS-70b. With the growth in the population in this
regime, the driest region in the brown dwarf desert ($35-55 M_J \sin{i}$) is
reforesting and its mass range shrinking.
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The potential of Artificial Intelligence (AI) to tackle challenging problems
that afflict society is enormous, particularly in the areas of healthcare,
conservation and public safety and security. Many problems in these domains
involve harnessing social networks of under-served communities to enable
positive change, e.g., using social networks of homeless youth to raise
awareness about Human Immunodeficiency Virus (HIV) and other STDs.
Unfortunately, most of these real-world problems are characterized by
uncertainties about social network structure and influence models, and previous
research in AI fails to sufficiently address these uncertainties. This thesis
addresses these shortcomings by advancing the state-of-the-art to a new
generation of algorithms for interventions in social networks. In particular,
this thesis describes the design and development of new influence maximization
algorithms which can handle various uncertainties that commonly exist in
real-world social networks. These algorithms utilize techniques from sequential
planning problems and social network theory to develop new kinds of AI
algorithms. Further, this thesis also demonstrates the real-world impact of
these algorithms by describing their deployment in three pilot studies to
spread awareness about HIV among actual homeless youth in Los Angeles. This
represents one of the first-ever deployments of computer science based
influence maximization algorithms in this domain. Our results show that our AI
algorithms improved upon the state-of-the-art by 160% in the real-world. We
discuss research and implementation challenges faced in deploying these
algorithms, and lessons that can be gleaned for future deployment of such
algorithms. The positive results from these deployments illustrate the enormous
potential of AI in addressing societally relevant problems.
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Viruses can evade the host immune system by displaying numerous glycans on their surface "spike-proteins" that cover immune epitopes. We have developed an ultrasensitive "single pot" method to assess glycan occupancy and the extent of glycan processing from high-mannose to complex forms at each N-glycosylation site. Though aimed at characterizing glycosylation of viral spike-proteins as potential vaccines, this method is applicable for analysis of site-specific glycosylation of any glycoprotein.
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As aberrant network-level functional connectivity underlies a variety of neural disorders, the ability to induce targeted functional reorganization would be a profound development towards therapies for neural disorders. Brain stimulation has been shown to alter large-scale network-wide functional connectivity, but the mapping from stimulation to the modification is unclear. Here, we leverage advances in neural interfaces, interpretable machine learning, and graph theory to arrive at a model which accurately predicts stimulation-induced network-wide functional reorganization. The model jointly considers the stimulation protocol and the cortical network structure, departing from the standard approach which only considers the stimulation protocol. We validate our approach in the primary sensorimotor cortex of non-human primates using paired optogenetic stimulation through a large-scale optogenetic interface. We observe that the stimulation protocol only predicts a small portion of the induced functional connectivity changes while the network structure predicts much more, indicating that the underlying network is the primary mediator of the response to stimulation. We extract the relationships linking the stimulation and network characteristics to the functional connectivity changes and observe that the mappings diverge over frequency bands and successive stimulations. Finally, we uncover shared processes governing real-time and longer-term effects of stimulation. Our framework represents a paradigm shift for targeted neural stimulation and can be used to interrogate, improve, and develop stimulation-based interventions for neural disorders.
TeaserBrain stimulation rewires the brain, but the pre-existing network structure of the brain controls the rewiring.
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In recent years, progresses in nanotechnology have established the
foundations for implementing nanomachines capable of carrying out simple but
significant tasks. Under this stimulus, researchers have been proposing various
solutions for realizing nanoscale communications, considering both
electromagnetic and biological communications. Their aim is to extend the
capabilities of nanodevices, so as to enable the execution of more complex
tasks by means of mutual coordination, achievable through communications.
However, although most of these proposals show how devices can communicate at
the nanoscales, they leave in the background specific applications of these new
technologies. Thus, this paper shows an overview of the actual and potential
applications that can rely on a specific class of such communications
techniques, commonly referred to as molecular communications. In particular, we
focus on health-related applications. This decision is due to the rapidly
increasing interests of research communities and companies to minimally
invasive, biocompatible, and targeted health-care solutions. Molecular
communication techniques have actually the potentials of becoming the main
technology for implementing advanced medical solution. Hence, in this paper we
provide a taxonomy of potential applications, illustrate them in some details,
along with the existing open challenges for them to be actually deployed, and
draw future perspectives.
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In the world of big data, large but costly to label datasets dominate many
fields. Active learning, a semi-supervised alternative to the standard
PAC-learning model, was introduced to explore whether adaptive labeling could
learn concepts with exponentially fewer labeled samples. While previous results
show that active learning performs no better than its supervised alternative
for important concept classes such as linear separators, we show that by adding
weak distributional assumptions and allowing comparison queries, active
learning requires exponentially fewer samples. Further, we show that these
results hold as well for a stronger model of learning called Reliable and
Probably Useful (RPU) learning. In this model, our learner is not allowed to
make mistakes, but may instead answer "I don't know." While previous negative
results showed this model to have intractably large sample complexity for label
queries, we show that comparison queries make RPU-learning at worst
logarithmically more expensive in both the passive and active regimes.
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I really liked this film about love between two adults in postwar Britain. The high standards of BBC TV is evident in the production, and superb lead actors (Claire Bloom and Joss Ackland) make this an uplifting experience. Bloom and Ackland have previously worked together in theatre, and their chemistry and interaction is splendid. I recommend this version of Shadowlands over the film version of 1993.
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First off, the lead, Brad Dourif is a KOOK. If you're trying to take this movie seriously, then, I guarantee he's going to ruin it for you. If you don't take him too seriously, then he's actually kind of fun to watch. As with another reviewer, I loved the scene where Lisa (Cynthia Bain) and Dourif are declaring their love for each other - in between dodging the jets of flame shooting out of his arm in the car. Another great campy scene was watching John Landis as a snotty radio show producer getting toasted and flailing around the room. In fact, I found the last 15 minutes of the movie to be a non-stop laugh-riot - I'm just not sure if Tobe Hooper meant it to be that way.
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The structure of exotic nuclei sheds new light on the linkage of the nuclear
structure to the nucleonic interaction. The self-consistent mean-field (SCMF)
theories are useful to investigate this linkage, which are applicable to many
nuclei covering almost the whole range of the nuclear chart without artificial
truncation of model space. For this purpose, it is desired to develop effective
interaction for the SCMF calculations well connected to the bare nucleonic
interaction. Focusing on ground-state properties, I show results of the SCMF
calculations primarily with the M3Y-type semi-realistic interaction, M3Y-P6 and
M3Y-P6a to be precise, and discuss in detail how the nucleonic interaction
affects structure of nuclei including those far off the $\beta$-stability.
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We introduce certain linear positive operators and study some approximation
properties of these operators in the space of functions, continuous on a
compact set, of two variables. We also find the order of this approximation by
using modulus of continuity. Moreover we define an $r$th order generalization
of these operators and observe its approximation properties. Furthermore, we
study the convergence of the linear positive operators in a weighted space of
functions of two variables and find the rate of this convergence using weighted
modulus of continuity.
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A dynamic crack tip equation of motion is proposed based on the autonomy of
the near-tip nonlinear zone of scale $\ell_{nl}$, symmetry principles,
causality and scaling arguments. Causality implies that the asymptotic
linear-elastic fields at time $t$ are determined by the crack path at a {\bf
retarded time} $t-\tau_d$, where the delay time $\tau_d$ scales with the ratio
of $\ell_{nl}$ and the typical wave speed $c_{nl}$ within the nonlinear zone.
The resulting equation is shown to agree with known results in the quasi-static
regime. As a first application in the fully dynamic regime, an approximate
analysis predicts a high-speed oscillatory instability whose characteristic
scale is determined by $\ell_{nl}$. This prediction is corroborated by
experimental results, demonstrating the emergence of crack tip inertia-like
effects.
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For given computational resources, the accuracy of plasma simulations using
particles is mainly held back by the noise due to limited statistical sampling
in the reconstruction of the particle distribution function. A method based on
wavelet analysis is proposed and tested to reduce this noise. The method, known
as wavelet based density estimation (WBDE), was previously introduced in the
statistical literature to estimate probability densities given a finite number
of independent measurements. Its novel application to plasma simulations can be
viewed as a natural extension of the finite size particles (FSP) approach, with
the advantage of estimating more accurately distribution functions that have
localized sharp features. The proposed method preserves the moments of the
particle distribution function to a good level of accuracy, has no constraints
on the dimensionality of the system, does not require an a priori selection of
a global smoothing scale, and its able to adapt locally to the smoothness of
the density based on the given discrete particle data. Most importantly, the
computational cost of the denoising stage is of the same order as one time step
of a FSP simulation. The method is compared with a recently proposed proper
orthogonal decomposition based method, and it is tested with three particle
data sets that involve different levels of collisionality and interaction with
external and self-consistent fields.
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We consider a general incompressible finite model protein of size M in its
environment, which we represent by a semiflexible copolymer consisting of amino
acid residues classified into only two species (H and P, see text) following
Lau and Dill. We allow various interactions between chemically unbonded
residues in a given sequence and the solvent (water), and exactly enumerate the
number of conformations W(E) as a function of the energy E on an infinite
lattice under two different conditions: (i) we allow conformations that are
restricted to be compact (known as Hamilton walk conformations), and (ii) we
allow unrestricted conformations that can also be non-compact. It is easily
demonstrated using plausible arguments that our model does not possess any
energy gap even though it is supposed to exhibit a sharp folding transition in
the thermodynamic limit. The enumeration allows us to investigate exactly the
effects of energetics on the native state(s), and the effect of small size on
protein thermodynamics and, in particular, on the differences between the
microcanonical and canonical ensembles. We find that the canonical entropy is
much larger than the microcanonical entropy for finite systems. We investigate
the property of self-averaging and conclude that small proteins do not
self-average. We also present results that (i) provide some understanding of
the energy landscape, and (ii) shed light on the free energy landscape at
different temperatures.
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Nice Quality but not stable
My Dad's PT recommended this item who had a massive stroke. The shipment arrived on time and nicely packaged. The cane is good quality and it appears as is described on Amazon, however, it was shaky and not stable. We ensured that the tips are equally inserted, didn't make a difference. Then replaced them with a pack of tips that I bought along with it, still wasn't sturdy and stable. It's a real disappointment and will be returning it.
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The worldline approach to Quantum Field Theory (QFT) allows to efficiently
compute several quantities, such as one-loop effective actions, scattering
amplitudes and anomalies, which are linked to particle path integrals on the
circle. A helpful tool in the worldline formalism on the circle, are
string-inspired (SI) Feynman rules, which correspond to a specific way of
factoring out a zero mode. In flat space this is known to generate no
difficulties. In curved space, it was shown how to correctly achieve the zero
mode factorization by applying BRST techniques to fix a shift symmetry. Using
special coordinate systems, such as Riemann Normal Coordinates, implies the
appearance of a non-linear map---originally introduced by Friedan---which must
be taken care of in order to obtain the correct results. In particular,
employing SI Feynman rules, the map introduces further interactions in the
worldline path integrals. In the present paper, we compute in closed form
Friedan's map for RNC coordinates in maximally symmetric spaces, and test the
path integral model by computing trace anomalies. Our findings match known
results.
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Jordan operator algebras are norm-closed spaces of operators on a Hilbert
space with a^2 in A for all a in A. In two recent papers by the authors and
Neal, a theory for these spaces was developed. It was shown there that much of
the theory of associative operator algebras, in particularly surprisingly much
of the associative theory from several recent papers of the first author and
coauthors, generalizes to Jordan operator algebras. In the present paper we
complete this task, giving several results which generalize the associative
case in these papers, relating to unitizations, real positivity, hereditary
subalgebras, and a couple of other topics. We also solve one of the three open
problems stated at the end of our earlier joint paper on Jordan operator
algebras.
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