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Chain molecules play important roles in industry and in living cells. Our
focus here is on distinct ways of modeling the stiffness inherent in a chain
molecule. We consider three types of stiffnesses -- one yielding an energy
penalty for local bends (energetic stiffness) and the other two forbidding
certain classes of chain conformations (entropic stiffness). Using detailed
Wang-Landau microcanonical Monte Carlo simulations, we study the interplay
between the nature of the stiffness and the ground state conformation of a
self-attracting chain. We find a wide range of ground state conformations
including a coil, a globule, a toroid, rods, helices, zig-zag strands
resembling $\beta$-sheets, as well as knotted conformations allowing us to
bridge conventional polymer phases and biomolecular phases. An analytical
mapping is derived between the persistence lengths stemming from energetic and
entropic stiffness. Our study shows unambiguously that different stiffness play
different physical roles and have very distinct effects on the nature of the
ground state of the conformation of a chain, even if they lead to identical
persistence lengths.
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Let $k$ be a field of characteristic zero, and let $f: k[x,y] \to k[x,y]$,
$f: (x,y) \mapsto (p,q)$, be a $k$-algebra endomorphism having an invertible
Jacobian. Write $p=a_ny^n+\cdots+a_1y+a_0$, where $n=deg_y(p) \in \mathbb{N}$,
$a_i \in k[x]$, $0 \leq i \leq n$, $a_n \neq 0$, and
$q=c_ry^r+\cdots+c_1y+c_0$, where $r=deg_y(q) \in \mathbb{N}$, $c_i \in k[x]$,
$0 \leq i \leq r$, $c_r \neq 0$. Denote the set of prime numbers by $P$. Under
two mild conditions, we prove that, if
$\gcd(\gcd(n,deg_x(a_n)),\gcd(r,deg_x(c_r))) \in \{1,8\} \cup P \cup 2P$, then
$f$ is an automorphism of $k[x,y]$. Removing (at least one of) the two mild
conditions, we present two additional results. One of the additional results
implies that the known form of a counterexample $(P,Q)$ to the two-dimensional
Jacobian Conjecture, $l_{1,1}(P)=\epsilon x^{\alpha \mu}y^{\beta \mu}$,
$l_{1,1}(Q)=\delta x^{\alpha \nu}y^{\beta \nu}$, where $\epsilon,\delta \in
k^{\times}$, $1 < \alpha <\beta$, $d:=\gcd(\alpha,\beta) > 1$, $1 < \nu < \mu$,
$\gcd(\mu,\nu)=1$, actually satisfies $d > 2$.
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In turbulent high-beta astrophysical plasmas (exemplified by the galaxy
cluster plasmas), pressure-anisotropy-driven firehose and mirror fluctuations
grow nonlinearly to large amplitudes, dB/B ~ 1, on a timescale comparable to
the turnover time of the turbulent motions. The principle of their nonlinear
evolution is to generate secularly growing small-scale magnetic fluctuations
that on average cancel the temporal change in the large-scale magnetic field
responsible for the pressure anisotropies. The presence of small-scale magnetic
fluctuations may dramatically affect the transport properties and, thereby, the
large-scale dynamics of the high-beta astrophysical plasmas.
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Magnetar flares excite strong Alfv\'{e}n waves in the magnetosphere of the
neutron star. The wave energy can (1) dissipate in the magnetosphere, (2)
convert to "fast modes" and possibly escape, and (3) penetrate the neutron star
crust and dissipate there. We examine and compare the three options.
Particularly challenging are nonlinear interactions between strong waves, which
develop a cascade to small dissipative scales. This process can be studied in
the framework of force-free electrodynamics (FFE). We perform three-dimensional
FFE simulations to investigate Alfv\'{e}n wave dissipation, how long it takes,
and how it depends on the initial wave amplitude on the driving scale. In the
simulations, we launch two large Alfv\'{e}n wave packets that keep bouncing on
closed magnetic field lines and collide repeatedly until the full turbulence
spectrum develops. Besides dissipation due to the turbulent cascade, we find
that in some simulations spurious energy losses occur immediately in the first
collisions. This effect occurs in special cases where the FFE description
breaks. It is explained with a simple one-dimensional model, which we examine
in both FFE and full magnetohydrodynamic settings. We find that magnetospheric
dissipation through nonlinear wave interactions is relatively slow and more
energy is drained into the neutron star. The wave energy deposited into the
star is promptly dissipated through plastic crustal flows induced at the bottom
of the liquid ocean, and a fraction of the generated heat is radiated from the
stellar surface.
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We study nearly holomorphic Siegel Eisenstein series of general levels and
characters on $\mathbb{H}_{2n}$, the Siegel upper half space of degree $2n$. We
prove that the Fourier coefficients of these Eisenstein series (once suitably
normalized) lie in the ring of integers of $\mathbb{Q}_p$ for all sufficiently
large primes $p$. We also prove that the pullbacks of these Eisenstein series
to $\mathbb{H}_n \times \mathbb{H}_n$ are cuspidal under certain assumptions.
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We consider the 3d cubic focusing nonlinear Schroedinger equation (NLS)
i\partial_t u + \Delta u + |u|^2 u=0, which appears as a model in condensed
matter theory and plasma physics. We construct a family of axially symmetric
solutions, corresponding to an open set in H^1_{axial}(R^3) of initial data,
that blow-up in finite time with singular set a circle in xy plane. Our
construction is modeled on Rapha\"el's construction \cite{R} of a family of
solutions to the 2d quintic focusing NLS, i\partial_t u + \Delta u + |u|^4 u=0,
that blow-up on a circle.
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Given a simplicial complex with weights on its simplices, and a nontrivial
cycle on it, we are interested in finding the cycle with minimal weight which
is homologous to the given one. Assuming that the homology is defined with
integer coefficients, we show the following : For a finite simplicial complex
$K$ of dimension greater than $p$, the boundary matrix $[\partial_{p+1}]$ is
totally unimodular if and only if $H_p(L, L_0)$ is torsion-free, for all pure
subcomplexes $L_0, L$ in $K$ of dimensions $p$ and $p+1$ respectively, where
$L_0$ is a subset of $L$. Because of the total unimodularity of the boundary
matrix, we can solve the optimization problem, which is inherently an integer
programming problem, as a linear program and obtain integer solution. Thus the
problem of finding optimal cycles in a given homology class can be solved in
polynomial time. This result is surprising in the backdrop of a recent result
which says that the problem is NP-hard under $\mathbb{Z}_2$ coefficients which,
being a field, is in general easier to deal with. One consequence of our
result, among others, is that one can compute in polynomial time an optimal
2-cycle in a given homology class for any finite simplicial complex embedded in
$\mathbb{R}^3$. Our optimization approach can also be used for various related
problems, such as finding an optimal chain homologous to a given one when these
are not cycles.
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The most concentrated application of lower-limb rehabilitation exoskeleton
(LLE) robot is that it can help paraplegics "re-walk". However, "walking" in
daily life is more than just walking on flat ground with fixed gait. This paper
focuses on variable gaits generation for LLE robot to adapt complex walking
environment. Different from traditional gaits generator for biped robot, the
generated gaits for LLEs should be comfortable to patients. Inspired by the
pose graph optimization algorithm in SLAM, we propose a graph-based gait
generation algorithm called gait graph optimization (GGO) to generate variable,
functional and comfortable gaits from one base gait collected from healthy
individuals to adapt the walking environment. Variants of walking problem,
e.g., stride adjustment, obstacle avoidance, and stair ascent and descent, help
verify the proposed approach in simulation and experimentation. We open source
our implementation.
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Great product -- strong smell
I've had these for more than six months before getting the nerve to try them. I put the booties on & propped my feet up on my bed with a hand towel underneath. When I use the second pair in a couple of months, I'll be sure to sit with my feet down & on a rug I plan to launder right after. The smell lingered on the hand towel in the hamper until the next laundry day a week later. Also, the tops of my feet burned, but I have a neurological issue that causes very sensitive skin, so I'm not surprised about that. I took the booties off after about 40 minutes & figured I'd wasted my money. I didn't think anything would happen if I cut it short. And nothing did happen for the first three, four, five days. On day six, they started to peel, and whoa! I still have a little callus on the back of my heel, but it was thick & cracked and had been for years, so I'm not surprised. Really, other than the smell (I'm very sensitive to odors), I am thrilled. I wish I had the option to give them 4.5 stars.
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Our work has shown that high-performing organizations use a number of strategies and techniques to effectively involve employees, including (1) fostering a performanceoriented culture, (2) working to develop a consensus with unions on goals and strategies, (3) providing the training that staff need to work effectively, and (4) devolving authority while focusing accountability on results.
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The original exploitation classic-though far from enjoyable on almost any level concerning some guys who turn cats into human flesh eating monsters because the cat food they make is made with people is remade with scifi elements added. The cats can't get enough and when the flesh tainted food runs out the cats turn on their owners. Poorly put together on almost every level this is an example of the absolute bottom of the barrel material that used to actually play movie theaters in the early 1970's updated with alien cat and dog races battling for supremacy. Director Ted Mikel is a hack, but is so lovable a person (I generally like the guy thanks to his smile inducing interviews and commentary tracks) that you can pretty much excuse the garbage he mostly turned out. Mikels wanted to make films and he didn't care how they turned out so long as he was producing something. More power to him, but I wish he wouldn't subject us to his home movies
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will i get credit or SOMETHING while we are are split up? by anyone? (YOU will!) lllol. yeah - sometimes the end packs quite the surprise. i saw the situation as more aggressive and urgent i think. i wonder how many teens were in this "crowd" 4 or 5 teens and a healthy solid adult 52 yr old man...i would have still been telling the older guy to move on and make sure he was on his way before leaving. i guess it doesn't sound, as described, that they secured the scene. it is part of their process. more info would help.
EDIT_ OMG i just scrolled down. YOU ARE WICKED! AND OLD SOUL IS FEELIN LIKE KICKIN SOME. OLD PEOPLE RULE!!!
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The problem with the free market is that the profit motive does not help public services. Safety, security, health, environment, etc cannot be left to the private sector.
Second, wealth will keep concentrating in the hands of the rich. There will be a permanent underclass that will vote for communism, which is unhealthy for everyone.
Third, I agree regulations that inhibit free markets should be dropped. Entrepreneurship is key to progress. Canada should look to successful examples around the world (though we are pretty good ourselves in balancing economic and welfare needs).
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e study the minimal wave speed and the asymptotics of the traveling wave
solutions of a competitive Lotka Volterra system. The existence of the
traveling wave solutions is derived by monotone iteration. The asymptotic
behaviors of the wave solutions are derived by comparison argument and the
exponential dichotomy, which seems to be the key to understand the geometry and
the stability of the wave solutions. Also the uniqueness and the monotonicity
of the waves are investigated via a generalized sliding domain method.
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Medium-voltage cross-linked polyethylene (MV-XLPE) cables have an important
role in the electrical power distribution system. For this reason, the study of
XLPE insulation is crucial to improve cable features and lifetime. Although a
relaxational analysis using Thermally Stimulated Depolarization Currents (TSDC)
can yield a lot of information about XLPE properties, sometimes its results are
difficult to interpret. In previous works it was found that the TSDC spectrum
of cables is dominated by a broad heteropolar peak, that appears just before an
homopolar inversion, but the analysis of the cause of the peak was not
conclusive. We have used a combination of TSDC and Isothermal Depolarization
Currents (IDC) techniques to investigate further this issue. In order to
discard spurious effects from the semiconductor interfaces, samples have been
prepared in certain configurations and preliminary measurements have been done.
Then, TSDC experiments have been performed using conventional polarization
between 140C and 40C. Also, IDC measurements have been carried out between 90C
and 110C in 2C steps. The TSDC spectra show the broad peak at 95C. On the other
hand, IDC show a combination of power and exponential charge currents.
Exponential currents are fitted to a Kohlrausch--Williams--Watts (KWW) model.
The parameters obtained present approximately an Arrhenius behavior with
E_a=1.32eV, tau_0=3.29e-16s, with a KWW parameter beta=0.8. The depolarization
current calculated from the obtained parameters turns out to match the dominant
peak of TSDC spectra rather well. From the results and given the partially
molten state of the material, we conclude that the most likely cause of the
exponential IDC and the main TSDC peak is the relaxation of molecular dipoles
from additives incorporated during the manufacturing process.
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In view of the vital role of water in chemical and physical processes, an
exact knowledge of its dielectric function over a large frequency range is
important. In this article we report on currently available measurements of the
dielectric function of water at room temperature (25$^{\circ}$C) across the
full electromagnetic spectrum: microwave, IR, UV and X-ray (up to 100 eV). We
provide parameterisations of the complex dielectric function of water with two
Debye (microwave) oscillators and high resolution of IR and UV/X-ray
oscillators. We also report dielectric parameters for ice-cold water with a
microwave/IR spectrum measured at $0.4^\circ$C, while taking the UV spectrum
from 25$^{\circ}$C (assuming negligible temperature dependence in UV). We
illustrate the consequences of the model via calculations of van der Waals
interactions of gas molecules near water surfaces, and an assessment of the
thickness of water films on ice and ice films on water. In contrast to earlier
models of ice-cold water, we predict that a micron-scale layer of ice is
stabilised on a bulk water surface. Similarly, the van der Waals interaction
promotes complete freezing rather than supporting a thin premelting layer of
water on a bulk ice surface. Density-based extrapolation from warm to cold
water of the dielectric function at imaginary frequencies is found to be
satisfactory in the microwave but poor (40% error) at IR frequencies.
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yeah i've seen a couple although the so many of the grocery stores don't do that because of the the time frame which they get paid in general that uh they i've seen checks deposited the very next day i mean cleared my account the next day my wife will write a check for groceries and you know almost well i guess it's the day after uh technically it's two days but they they they took that check and scurried it to the bank and the bank scurried it back to my account and you thought there'd be just a little bit of float but apparently that's why the uh the uh the uh grocery stores are reluctant to do that because their volume that is quite high and they have uh the profitability of the cash flow is a big issue for them so
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The paper shows that the kinetic equations considered in [1], equilibrium
distribution obtained in [1], and results and conclusions obtained on the basis
of the kinetic equation derived in [1] do not correspond to the mixed
Bose-Fermi statistics. Moreover, it is shown that the kinetic equation
corresponding to the case when the copies of the system are characterized by
different values of the fraction of the Fermi-like moves is incorrect. We
present a correct kinetic equation for the mixture of the Bose and Fermi moves
and obtained the equilibrium distribution for the case when the probability of
the Fermi moves is higher or equal to that of the Bose moves.
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The two-component, core-crust, model of a neutron star with homogenous
internal and dipolar external magnetic field is studied responding to
quake-induced perturbation by substantially nodeless differentially rotational
Alfv\'en oscillations of the perfectly conducting crustal matter about axis of
fossil magnetic field frozen in the immobile core. The energy variational
method of the magneto-solid-mechanical theory of a viscoelastic perfectly
conducting medium pervaded by magnetic field is utilized to compute the
frequency and lifetime of nodeless torsional vibrations of crustal solid-state
plasma about the dipole magnetic-moment axis of the star. It is found that
obtained two-parametric spectral formula for the frequency of this toroidal
Alfven mode provides fairly accurate account of rapid oscillations of the X-ray
flux during the flare of SGR 1806-20 and SGR 1900+14, supporting the
investigated conjecture that these quasi-periodic oscillations owe its origin
to axisymmetric torsional oscillations predominately driven by Lorentz force of
magnetic field stresses in the finite-depth crustal region of the above
magnetars.
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We study the kinetic roughening of the single-step (SS) growth model with a
tunable parameter $p$ in $1+1$ and $2+1$ dimensions by performing extensive
numerical simulations. We show that there exists a very slow crossover from an
intermediate regime dominated by the Edwards-Wilkinson class to an asymptotic
regime dominated by the Kardar-Parisi-Zhang (KPZ) class for any $p
<\frac{1}{2}$. We also identify the crossover time, the nonlinear coupling
constant, and some nonuniversal parameters in the KPZ equation as a function
$p$. The effective nonuniversal parameters are continuously decreasing with
$p$, but not in a linear fashion. Our results provide complete and conclusive
evidence that the SS model for $p \neq \frac{1}{2}$ belongs to the KPZ
universality class in $2+1$ dimensions.
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This brief paper: (1) Discusses strategies to generate random test cases that
can be used to extensively test any Linear Distance Program (LDP) software. (2)
Gives three numerical examples of input cases generated by this strategy that
cause problems in the Lawson and Hanson LDP module. (3) Proposes, as a standard
matter of acceptable implementation procedures, that (unless it is done
internally in the software itself, but, in general, this seems to be much rarer
than one would expect) all users should test the returned output from any LDP
module for self-consistency since it incurs only a small amount of added
computational overhead and it is not hard to do.
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When mobile robots maneuver near people, they run the risk of rudely blocking
their paths; but not all people behave the same around robots. People that have
not noticed the robot are the most difficult to predict. This paper
investigates how mobile robots can generate acceptable paths in dynamic
environments by predicting human behavior. Here, human behavior may include
both physical and mental behavior, we focus on the latter. We introduce a
simple safe interaction model: when a human seems unaware of the robot, it
should avoid going too close. In this study, people around robots are detected
and tracked using sensor fusion and filtering techniques. To handle
uncertainties in the dynamic environment, a Partially-Observable Markov
Decision Process Model (POMDP) is used to formulate a navigation planning
problem in the shared environment. People's awareness of robots is inferred and
included as a state and reward model in the POMDP. The proposed planner enables
a robot to change its navigation plan based on its perception of each person's
robot-awareness. As far as we can tell, this is a new capability. We conduct
simulation and experiments using the Toyota Human Support Robot (HSR) to
validate our approach. We demonstrate that the proposed framework is capable of
running in real-time.
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We propose new analytic formulae describing light bending in Schwarzschild
metric. For emission radii above the photon orbit at 1.5 Schwarzschild radius,
the formulae have an accuracy of better than 0.2% for the bending angle and 3%
for the lensing factor for any trajectories that turn around a compact object
by less than about 160 deg. In principle, they can be applied to any emission
point above the horizon of the black hole. The proposed approximation can be
useful for problems involving emission from neutron stars and accretion discs
around compact objects when fast accurate calculations of light bending are
required. It can also be used to test the codes that compute light bending
using exact expressions via elliptical integrals.
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Deep learning has taken part in the competition since not long ago to learn
and identify phase transitions in physical systems such as many body quantum
systems, whose underlying lattice structures are generally regular as they're
in euclidean space. Real networks have complex structural features which play a
significant role in dynamics in them, and thus the structural and dynamical
information of complex networks can not be directly learned by existing neural
network models. Here we propose a novel and effective framework to learn the
epidemic threshold in complex networks by combining the structural and
dynamical information into the learning procedure. Considering the strong
performance of learning in Euclidean space, Convolutional Neural Network (CNN)
is used and, with the help of confusion scheme, we can identify precisely the
outbreak threshold of epidemic dynamics. To represent the high dimensional
network data set in Euclidean space for CNN, we reduce the dimensionality of a
network by using graph representation learning algorithms and discretize the
embedded space to convert it into an image-like structure. We then creatively
merge the nodal dynamical states with the structural embedding by multi-channel
images. In this manner, the proposed model can draw the conclusion from both
structural and dynamical information. A large number of simulations show a
great performance in both synthetic and empirical network data set. Our
end-to-end machine learning framework is robust and universally applicable to
complex networks with arbitrary size and topology.
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Spectral broadening in silicon is studied numerically as well as
experimentally. Temporal dynamics of the free carriers generated during the
propagation of optical pulses, through the process of two-photon absorption
(TPA), affect the amplitude and phase of the optical pulses, thereby
determining the nature and extent of the generated spectral continuum.
Experimental results are obtained by propagating pico-second optical pulses in
a silicon waveguide for intensities that span two orders of magnitude (1-150
GW/cm2). These results validate the conclusions drawn from numerical
simulations that the continuum generation has a self-limiting nature in
silicon.
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Like the earpiece clarity
Like the earpiece clarity, volume over in the ear pieces. Don’t like the way the earpiece fits, lack of adjustment for comfort. The wire is too short from earpiece to mike. I have short torso and still can’t keep it tucked away. Relief for wires should be at radio attachment, not several inches away.
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If grandson can open flaps
I could barely open the flaps. I’m sure my grandson will rapidly lose interest in this book if it’s next to impossible to open the flaps. Was going to return but shipping to return costs just about the same as the book cost. So, I guess I’ll have to keep.
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The so called "low carbon economy" has been an environmental and economic disaster for Ontario. Hundreds of thousands of migrating birds, including many rare species, have been slaughtered by wind turbines along the shores of Lake Huron, Lake Erie and Lake Ontario. The obscenely profitable contracts awarded to wind turbine owners, many of them the wealthiest corporations on the planet, are bankrupting Ontario. Canada's Environment Minister has nothing of value to pitch on her US visit.
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Morphological features play an important role in breast mass classification
in sonography. While benign breast masses tend to have a well-defined
ellipsoidal contour, shape of malignant breast masses is commonly ill-defined
and highly variable. Various handcrafted morphological features have been
developed over the years to assess this phenomenon and help the radiologists
differentiate benign and malignant masses. In this paper we propose an
automatic approach to morphology analysis, we express shapes of breast masses
as points on the Kendall's shape manifold. Next, we use the full Procrustes
distance to develop support vector machine classifiers for breast mass
differentiation. The usefulness of our method is demonstrated using a dataset
of B-mode images collected from 163 breast masses. Our method achieved area
under the receiver operating characteristic curve of 0.81. The proposed method
can be used to assess shapes of breast masses in ultrasound without any feature
engineering.
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Exactly What He Needed.
Our nephew had to get braces recently and has to clean the braces and his teeth in detail more than he usually did in the past. He loves the flosser. It works perfectly for his needs. I'm basing my review on his input. We'd buy it again if we ever need another one.
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Evolutionary calculations of population I stars with initial masses
$M_0=1M_\odot$, $1.5M_\odot$ and $2M_\odot$ were carried out up to the stage of
the proto--planetary nebula. Selected models of post--AGB evolutionary
sequences with effective temperatures $3.6\times 10^3\,\mathrm{K}\lesssim
T_\mathrm{eff}\lesssim 2\times 10^4\,\mathrm{K}$ were used as initial
conditions in calculations of self--escited stellar oscillations. For the first
time the sequences of hydrodynamic models of radially pulsating post--AGB stars
were computed using the self--consistent solution of the equations of radiation
hydrodynamics and time--dependent convection. Within this range of effective
temperatures the post--AGB stars are the fundamental mode pulsators with period
decreasing as the star evolves from $\Pi\approx 300$ day to several days.
Period fluctuations are due to nonlinear effects and are most prominent at
effective temperatures $T_\mathrm{eff} < 5000$K. The amplitude of bolometric
light variations is $\Delta M_\mathrm{bol}\approx 1$ at $T_\mathrm{eff}
\lesssim 6000$K and rapidly decreases with increasing $T_\mathrm{eff}$. The
theoretical dependence of the pulsation period as a function of effective
temperature obtained in the study can be used as a criterion for the
evolutionary status of pulsating variables suspected to be post--AGB stars.
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In this paper we first derive several results concerning the $L^p$ spectrum
of arithmetic locally symmetric spaces whose $\Q$-rank equals one. In
particular, we show that there is an open subset of $\C$ consisting of
eigenvalues of the $L^p$ Laplacian if $p <2$ and that corresponding
eigenfunctions are given by certain Eisenstein series. On the other hand, if
$p>2$ there is at most a discrete set of real eigenvalues of the $L^p$
Laplacian. These results are used in the second part of this paper in order to
show that the dynamics of the $L^p$ heat semigroups for $p<2$ is very different
from the dynamics of the $L^p$ heat semigroups if $p\geq 2$.
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This is an atrocious movie. Two demented young women seduce and torture a middle aged man. There's not much to give away in regards to a plot or a "spoiler". I would only comment that the ending is nearly the most preposterous part of the flick. Much of the film involves Locke and Camp cackling obnoxiously, all the while grinning psychotically at the camera. Add to this a soundtrack that repeats again and again, including a vaudevillian song about "dear old dad" that suggests an incestuous quality the viewer never really sees. The music is annoying at first, then ends up subjecting the viewer to a torture worse than that depicted on the screen. The theme here is of youth run amok, understandable as a reaction to the '60s, but done with little imagination or style. Avoid it!
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Hello. I looked at my account and see that a transaction I tried to do is pending, but I did not complete that transaction. When I was at the ATM, the machine declined my card. Can you make sure that transaction does not go through because I definitely did not receive the money.
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Works good once connected correctly
The funnel arrived with the extension connected (requiring a longer box than necessary; go figure). Took me a minute, and a check back at the pic on the product page, to realize the extension's tapered end had been incorrectly inserted into the funnel. Actually there are threads on the funnel and the extension; the latter screws onto the former. The fit is quite tight (once started I need to use pliers to screw it all the way on) and it is a somewhat pliable plastic so be careful you don't damage the threads. But the tightness is a good thing; no leaks at all. Overall a good product once put together properly. :)
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The angular distribution of the 2H(6He,7Li)n reaction was measured with a
secondary 6He beam of 36.4 MeV for the first time. The proton spectroscopic
factor of 7Li ground state was extracted to be 0.41 +- 0.05 by the
normalization of the calculational differential cross sections with the
distorted-wave Born approximation to the experimental data. It was found that
the uncertainty of extracted spectroscopic factors from the one-nucleon
transfer reactions induced by deuteron may be reduced by constraining the
volume integrals of imaginary optical potentials.
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The segmentation of a time series into piecewise stationary segments, a.k.a.
multiple change point analysis, is an important problem both in time series
analysis and signal processing. In the presence of multiscale change points
with both large jumps over short intervals and small changes over long
stationary intervals, multiscale methods achieve good adaptivity in their
localisation but at the same time, require the removal of false positives and
duplicate estimators via a model selection step. In this paper, we propose a
localised application of Schwarz information criterion which, as a generic
methodology, is applicable with any multiscale candidate generating procedure
fulfilling mild assumptions. We establish the theoretical consistency of the
proposed localised pruning method in estimating the number and locations of
multiple change points under general assumptions permitting heavy tails and
dependence. Further, we show that combined with a MOSUM-based candidate
generating procedure, it attains minimax optimality in terms of detection lower
bound and localisation for i.i.d. sub-Gaussian errors. A careful comparison
with the existing methods by means of (a) theoretical properties such as
generality, optimality and algorithmic complexity, (b) performance on simulated
datasets and run time, as well as (c) performance on real data applications,
confirm the overall competitiveness of the proposed methodology.
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An important characteristic of English written text is the abundance of noun
compounds - sequences of nouns acting as a single noun, e.g., colon cancer
tumor suppressor protein. While eventually mastered by domain experts, their
interpretation poses a major challenge for automated analysis. Understanding
noun compounds' syntax and semantics is important for many natural language
applications, including question answering, machine translation, information
retrieval, and information extraction. I address the problem of noun compounds
syntax by means of novel, highly accurate unsupervised and lightly supervised
algorithms using the Web as a corpus and search engines as interfaces to that
corpus. Traditionally the Web has been viewed as a source of page hit counts,
used as an estimate for n-gram word frequencies. I extend this approach by
introducing novel surface features and paraphrases, which yield
state-of-the-art results for the task of noun compound bracketing. I also show
how these kinds of features can be applied to other structural ambiguity
problems, like prepositional phrase attachment and noun phrase coordination. I
address noun compound semantics by automatically generating paraphrasing verbs
and prepositions that make explicit the hidden semantic relations between the
nouns in a noun compound. I also demonstrate how these paraphrasing verbs can
be used to solve various relational similarity problems, and how paraphrasing
noun compounds can improve machine translation.
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"There are no suspicious funds being wired to Trump bank accounts. Trump's tax returns (like Romney's and Clinton's) are just going to be hundreds of pages of Schedule C's and Form 1065's, some of which will show losses."
And you know this how exactly? In truth, until Trump actually releases his tax returns you, along with everyone else, know nothing.
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You are right about one thing - Trump has no concern for religious values. He is a man who has no values. His only gods are wealth and power for himself and his family.
Have you not noted that not a single terrorist incident in the US has been due to activity by anyone from the six banned countries? Have you not noticed that the Trump family has no business interests in any of the six countries? Have you not noticed that they do have business (self) interests in Saudi Arabia, Egypt and other countries to whom Trump has given a pass, even though the attacks against Americans in the US were carried out by people from those countries - the countries where he does business? The countries who now realize they need not concern themselves with human rights because Trump has given them a pass on that too. As long as he and his family are making money in those countries, they can do whatever they wish, including financing and harboring terrorists.
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A dormant generic Miura $\mathfrak{sl}_2$-oper is a flat
$\mathrm{PGL}_2$-bundle over an algebraic curve in positive characteristic
equipped with some additional data. In the present paper, we give a
combinatorial description of dormant generic Miura $\mathfrak{sl}_2$-opers on a
totally degenerate curve. The combinatorial objects that we use are certain
branch numberings of $3$-regular graphs. Our description may be thought of as
an analogue of the combinatorial description of dormant $\mathfrak{sl}_2$-opers
given by S. Mochizuki, F. Liu, and B. Osserman. It allows us to think of the
Miura transformation in terms of combinatorics. As an application, we identify
the dormant generic Miura $\mathfrak{sl}_2$-opers on totally degenerate curves
of genus $>0$.
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The primary stability of the femoral stem (FS) implant determines the
surgical success of cementless 15 hip arthroplasty. During the insertion, a
compromise must be found for the number and energy of 16 impacts that should be
sufficiently large to obtain an adapted primary stability of the FS and not too
high 17 to decrease fracture risk. The aim of this study is to determine
whether a hammer instrumented with a 18 force sensor can be used to monitor the
insertion of FS. 19 Cementless FS of different sizes were impacted in four
artificial femurs with an instrumented hammer, 20 leading to 72 configurations.
The impact number when the surgeon empirically felt that the FS was fully 21
inserted was noted Nsurg. The insertion depth E was assessed using video motion
tracking and the impact 22 number Nvid corresponding to the end of the
insertion was estimated. For each impact, two indicators 23 noted I and D were
determined based on the analysis of the variation of the force as a function of
time. 24 The pull-out force F was significantly correlated with the indicator I
(R${}^2$ =0.67). The variation of D was 25 analyzed using a threshold to
determine an impact number Nd, which is shown to be closely related to 26 Nsurg
and Nvid, with an average difference of around 0.2. This approach allows to
determine i) the moment 27 when the surgeon should stop the impaction procedure
in order to obtain an optimal insertion of the FS 28 and ii) the FS implant
primary stability. This study paves the way towards the development of a
decision 29 support system to assist the surgeon in hip arthroplasty.
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Glaucoma is one of the leading causes of irreversible but preventable
blindness in working age populations. Color fundus photography (CFP) is the
most cost-effective imaging modality to screen for retinal disorders. However,
its application to glaucoma has been limited to the computation of a few
related biomarkers such as the vertical cup-to-disc ratio. Deep learning
approaches, although widely applied for medical image analysis, have not been
extensively used for glaucoma assessment due to the limited size of the
available data sets. Furthermore, the lack of a standardize benchmark strategy
makes difficult to compare existing methods in a uniform way. In order to
overcome these issues we set up the Retinal Fundus Glaucoma Challenge, REFUGE
(\url{https://refuge.grand-challenge.org}), held in conjunction with MICCAI
2018. The challenge consisted of two primary tasks, namely optic disc/cup
segmentation and glaucoma classification. As part of REFUGE, we have publicly
released a data set of 1200 fundus images with ground truth segmentations and
clinical glaucoma labels, currently the largest existing one. We have also
built an evaluation framework to ease and ensure fairness in the comparison of
different models, encouraging the development of novel techniques in the field.
12 teams qualified and participated in the online challenge. This paper
summarizes their methods and analyzes their corresponding results. In
particular, we observed that two of the top-ranked teams outperformed two human
experts in the glaucoma classification task. Furthermore, the segmentation
results were in general consistent with the ground truth annotations, with
complementary outcomes that can be further exploited by ensembling the results.
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Following Ghomi and Tabachnikov we study topological obstructions to totally
skew embeddings of a smooth manifold M in Euclidean spaces. This problem is
naturally related to the question of estimating the geometric dimension of the
stable normal bundle of the configuration space F_2(M) of ordered pairs of
distinct points in M. We demonstrate that in a number of interesting cases the
lower bounds obtained by this method are quite accurate and very close to the
best known general upper bound. We also provide some evidence for the
conjecture that each n-dimensional, compact smooth manifold M^n (n>1), admits a
totally skew embedding in the Euclidean space of dimension N = 4n-2alpha(n)+1
where alpha(n)=number of non-zero digits in the binary representation of n.
This is a revised version of the paper (accepted for publication in A.M.S.
Transactions).
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First of all, i have nothing against Christianity. i believe, every person has the right to believe what he or she chooses. But i cannot imagine how dumb a person has to be to believe this! What a waste of believers' money. They'd better use it to feed some starving families in the third world countries. I don't want to talk about talk acting or plot of this "movie", because I couldn't find any of those in this. Story's simple - two reporters, one (A) is atheist, the other (B) for some sake has abandoned religion. B regains his confidence in religion and teaches A a lesson - believe in Christ or go to hell. This message appears after like ten minutes and keeps repeating to the end of the movie. People, do not believe the rating of this "movie", read reviews first. I didn't and wasted an hour of my life :( PS: Why is it classified as sci-fi? Because of those few weird sounds and a bit of bright light from the sky? PPS: U.F.O. = Satan's evil doings? That's a new one :)
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A microscopic understanding of molecules is essential for many fields of
natural sciences but their tiny size hinders direct optical access to their
constituents. Rydberg macrodimers - bound states of two highly-excited Rydberg
atoms - feature bond lengths easily exceeding optical wavelengths. Here we
report on the direct microscopic observation and detailed characterization of
such macrodimers in a gas of ultracold atoms in an optical lattice. The size of
about 0.7 micrometers, comparable to the size of small bacteria, matches the
diagonal distance of the lattice. By exciting pairs in the initial
two-dimensional atom array, we resolve more than 50 vibrational resonances.
Using our spatially resolved detection, we observe the macrodimers by
correlated atom loss and demonstrate control of the molecular alignment by the
choice of the vibrational state. Our results allow for precision testing of
Rydberg interaction potentials and establish quantum gas microscopy as a
powerful new tool for quantum chemistry.
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Good comment. Perhaps the coaching staff knows how to get them to the next level (Charles and excepted as they already played at a high level) Perhaps they just needed to surrounding cast. With Miller, Gotsis, Wolfe, etc... they can't concentrate on Peko or Harris. But I think playing to their strengths and coaching are the biggest factors.
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The sophistication of fully exclusive MC event generation has grown at an
extraordinary rate since the start of the LHC era, but has been mirrored by a
similarly extraordinary rise in the CPU cost of state-of-the-art MC
calculations. The reliance of experimental analyses on these calculations
raises the disturbing spectre of MC computations being a leading limitation on
the physics impact of the HL-LHC, with MC trends showing more signs of further
cost-increases rather than the desired speed-ups. I review the methods and
bottlenecks in MC computation, and areas where new computing architectures,
machine-learning methods, and social structures may help to avert calamity.
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Aneka is a platform for deploying Clouds developing applications on top of
it. It provides a runtime environment and a set of APIs that allow developers
to build .NET applications that leverage their computation on either public or
private clouds. One of the key features of Aneka is the ability of supporting
multiple programming models that are ways of expressing the execution logic of
applications by using specific abstractions. This is accomplished by creating a
customizable and extensible service oriented runtime environment represented by
a collection of software containers connected together. By leveraging on these
architecture advanced services including resource reservation, persistence,
storage management, security, and performance monitoring have been implemented.
On top of this infrastructure different programming models can be plugged to
provide support for different scenarios as demonstrated by the engineering,
life science, and industry applications.
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We use neutron scattering to study the structural distortion and
antiferromagnetic (AFM) order in LaFeAsO$_{1-x}$F$_{x}$ as the system is doped
with fluorine (F) to induce superconductivity. In the undoped state, LaFeAsO
exhibits a structural distortion, changing the symmetry from tetragonal (space
group $P4/nmm$) to orthorhombic (space group $Cmma$) at 155 K, and then
followed by an AFM order at 137 K. Doping the system with F gradually decreases
the structural distortion temperature, but suppresses the long range AFM order
before the emergence of superconductivity. Therefore, while superconductivity
in these Fe oxypnictides can survive in either the tetragonal or the
orthorhombic crystal structure, it competes directly with static AFM order.
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In this note we consider the {\it spectral truncation} as the regularization
for an ill-posed non-homogeneous parabolic final value problem, and obtain
error estimates under a genral source condition when the data, which consist of
the non-homogeneous term as well as the final value, are noisy. The resulting
error estimate is compared with the corresponding estimate under the
Lavrentieve method, and showed that the truncation method has no index of
saturation.
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The axion is a hypothesized particle appearing in various theories beyond the
Standard Model. It is a light spin-0 boson initially postulated to solve the
strong CP problem and is also a strong candidate for dark matter. If the axion
or an axion-like particle exists, it would mediate a P-odd and T-odd
spin-dependent interaction. We describe two experiments under development at
Indiana University-Bloomington to search for such an interaction.
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The emission of real photons from a momentum-anisotropic quark-gluon plasma
(QGP) is affected by both the collective flow of the radiating medium and the
modification of local rest frame emission rate due to the anisotropic momentum
distribution of partonic degrees of freedom. In this paper, we first calculate
the photon production rate from an ellipsoidally momentum-anisotropic QGP
including hard contributions from Compton scattering and quark pair
annihilation and soft contribution calculated using the hard thermal loop (HTL)
approximation. We introduce a parametrization of the nonequilibrium rate in
order to facilitate its further application in yield and flow calculations. We
convolve the anisotropic photon rate with the space-time evolution of QGP
provided by 3+1d anisotropic hydrodynamics (aHydro) to obtain the yield and the
elliptic flow coefficient $v_2$ of photons from QGP generated at Pb-Pb
collisions at LHC at 2.76 TeV and Au-Au collisions at RHIC at 200 GeV. We
investigate the effects of various parameters on the results. In particular we
analyze the sensitivity of results to initial momentum anisotropy.
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PNolan, none of your comment is based upon reality. The actual economic policies of the Reagan administration were demonstrably favorable to the general population. Your theory of the function of government is wrong. There are, of course, cases where governments do control rabble or re-distribute wealth, but those are not primary functions, as the briefest of study of the actual history of government would show you.
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Shrinkage prior has gained great successes in many data analysis, however,
its applications mostly focus on the Bayesian modeling of sparse parameters. In
this work, we will apply Bayesian shrinkage to model high dimensional parameter
that possesses an unknown blocking structure. We propose to impose heavy-tail
shrinkage prior, e.g., $t$ prior, on the differences of successive parameter
entries, and such a fusion prior will shrink successive differences towards
zero and hence induce posterior blocking. Comparing to conventional Bayesian
fused lasso which implements Laplace fusion prior, $t$ fusion prior induces
stronger shrinkage effect and enjoys a nice posterior consistency property.
Simulation studies and real data analyses show that $t$ fusion has superior
performance to the frequentist fusion estimator and Bayesian Laplace-fusion
prior. This $t$-fusion strategy is further developed to conduct a Bayesian
clustering analysis, and simulation shows that the proposed algorithm obtains
better posterior distributional convergence than the classical Dirichlet
process modeling.
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GST is applied on top of the "carbon tax" (which isn't applied on carbon leakage from hydro dams etc. only fossil fuels) so this is a huge windfall for the federal government"s coffers. "all carbon tax money stays in the province it was raised" is not true unless Ottawa also sends the extra GST back to the provinces too.
Also, the cap and trade is a floating market mechanism so making sure that each year is a certain price per ton is nearly impossible...this could be a big warm on national unity if the cap and trade provinces don't have the same price as the carbon tax province every year.
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Yellowed quickly
This is a great case, except for the fact that fingerprints showed up on the case. I replaced it, then read a suggestion to put it in the dishwasher. I did and it came clean. So if you are willing to run this case through the dishwasher occasionally, go for it!
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We employ Massey products to find sharper lower bounds for the Schwarz genus
of a fibration than those previously known. In particular we give examples of
non-formal spaces $X$ for which the topological complexity $\TC(X)$ (defined to
be the genus of the free path fibration on $X$) is greater than the
zero-divisors cup-length plus one.
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We prove that to store n bits x so that each prefix-sum query Sum(i) :=
sum_{k < i} x_k can be answered by non-adaptively probing q cells of log n
bits, one needs memory > n + n/log^{O(q)} n. Our bound matches a recent upper
bound of n + n/log^{Omega(q)} n by Patrascu (FOCS 2008), also non-adaptive. We
also obtain a n + n/log^{2^{O(q)}} n lower bound for storing a string of
balanced brackets so that each Match(i) query can be answered by non-adaptively
probing q cells. To obtain these bounds we show that a too efficient data
structure allows us to break the correlations between query answers.
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Clinical biosensors with low detection limit hold significant promise in the
early diagnosis of debilitating diseases. Recent progress in sensor development
has led to the demonstration of detection capable of detecting target molecules
even down to single-molecule level. One crucial performance parameter which is
not adequately discussed is the issue of measurement fidelity in such sensors.
We define measurement fidelity based on the false positive rate of the system
as we expect systems with higher sensitivity to concomitantly respond more to
interfering molecules thus increasing the false-positive rates. We present a
model which allows us to estimate the limit of detection of a biosensor system
constrained by a specified false-positive rate. Two major results emerging from
our model is that a) there is a lower bound to the detection limit for a target
molecule determined by the variation in the concentration of background
molecules interfering with the molecular recognition process and b) systems
which use a secondary label, such as a fluorophore, can achieve lower detection
limits for a given false positive rate. We also present data collected from
literature to support our model. The insights from our model will be useful in
the systematic design of future clinical biosensors to achieve relevant
detection limits with assured fidelity.
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Let $X$ be a smooth projective curve over a field of characteristic zero and
let $D$ be a non-empty set of rational points of $X$. We calculate the motivic
classes of moduli stacks of semistable parabolic bundles with connections on
$(X,D)$ and motivic classes of moduli stacks of semistable parabolic Higgs
bundles on $(X,D)$. As a by-product we give a criteria for non-emptiness of
these moduli stacks, which can be viewed as a version of the Deligne-Simpson
problem.
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The problem of the electromagnetic energy-momentum tensor is among the oldest
and the most controversial in macroscopic electrodynamics. In the center of the
issue is a dispute about the Minkowski and the Abraham tensors for moving
media. An overview of the current situation is presented. After putting the
discussion into a general Lagrange-Noether framework, the Minkowski tensor is
recovered as a canonical energy-momentum. It is shown that the balance
equations of energy, momentum, and angular momentum are always satisfied for an
open electromagnetic system despite the lack of the symmetry of the canonical
tensor. On the other hand, although the Abraham tensor is not defined from
first principles, one can formulate a general symmetrization prescription
provided a timelike vector is available. We analyze in detail the variational
model of a relativistic ideal fluid with isotropic electric and magnetic
properties interacting with the electromagnetic field. The relation between the
Minkowski energy-momentum tensor, the canonical energy-momentum of the medium
and the Abraham tensor is clarified. It is demonstrated that the Abraham
energy-momentum is relevant when the 4-velocity of matter is the only covariant
variable that enters the constitutive tensor.
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In component-based program synthesis, the synthesizer generates a program
given a library of components (functions). Existing component-based
synthesizers have difficulty synthesizing loops and other control structures,
and they often require formal specifications of the components, which can be
expensive to generate. We present FrAngel, a new approach to component-based
synthesis that can synthesize short Java functions with control structures when
given a desired signature, a set of input-output examples, and a collection of
libraries (without formal specifications). FrAngel aims to discover programs
with many distinct behaviors by combining two main ideas. First, it mines code
fragments from partially-successful programs that only pass some of the
examples. These extracted fragments are often useful for synthesis due to a
property that we call special-case similarity. Second, FrAngel uses angelic
conditions as placeholders for control structure conditions and optimistically
evaluates the resulting program sketches. Angelic conditions decompose the
synthesis process: FrAngel first finds promising partial programs and later
fills in their missing conditions. We demonstrate that FrAngel can synthesize a
variety of interesting programs with combinations of control structures within
seconds, significantly outperforming prior state-of-the-art.
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We investigate the use of external time-dependent magnetic field for the
control of the quantum states in a two-electron quantum ring. The hyperfine
interaction of the confined electrons with surrounding nuclei couples the
singlet state with the three triplet states. When the external magnetic field
is changed, the singlet ground state becomes degenerate with the triplet states
allowing singlet-triplet transitions. By choosing different speeds for the
magnetic field switching the final quantum state of the system can be
manipulated. We evaluate suitable magnetic field values and time scales for
efficient quantum ring control.
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Admittedly, I am not a fan of the Monogram Chan films. . The plot, involving radium theft from a bank vault, is a bit far fetched and a long way from the atmospheric mysteries that Fox produced. Mantan Moreland and Benson Fong (as No. 3 Son Tommy) provide some laughs as usual. But otherwise there isn't much here. Great title that is wasted.
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Patrick and Wendy Mullery.
An Inverness suicide support group plans to expand to meet demand.
Patrick Mullery, who runs the group which meets in Inverness, lost his father-of-three son James to suicide at the age of 28.
Mr Mullery, from Cromarty, said: “2019 has seen a steady growth in our membership which is now at 200. This is bittersweet because our group is growing – but that means there are more people affected by suicide.”
In 2020, he hopes to extend coverage of James’ Support Group meetings to Tain, Dingwall and Aviemore with a breakfast club event, aimed at helping men to talk more, to be held at Ross County FC.
A Games, Giggle and Craic evening in Cromarty drew a full house and plans are afoot for a second one.
Mr Mullery added: “Ross County FC fans may well have noticed our stand at the car park entrance on many home matches. We will be at most home games to the end of March which sees the end of the peak period for suicides.”
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Pronounced anisotropy of magnetic properties and complex magnetic order of a
new oxi-halide compound Co7(TeO3)4Br6 has been investigated by powder and
single crystal neutron diffraction, magnetization and ac susceptibility
techniques. Anisotropy of susceptibility extends far into the paramagnetic
temperature range. A principal source of anisotropy are anisotropic properties
of the involved octahedrally coordinated single Co(2+) ions, as confirmed by
angular-overlap-model calculations presented in this work. Incommensurate
antiferromagnetic order sets in at TN=34 K. Propagation vector is strongly
temperature dependent reaching k1=(0.9458(6), 0, 0.6026(5)) at 30 K. A
transition to a ferrimagnetic structure with k2=0 takes place at TC=27 K.
Magnetically ordered phase is characterized by very unusual anisotropy as well:
while M-H scans along b-axis reveals spectacularly rectangular but otherwise
standard ferromagnetic hysteresis loops, M-H studies along other two principal
axes are perfectly reversible, revealing very sharp spin flop (or spin flip)
transitions, like in a standard antiferromagnet (or metamagnet). Altogether,
the observed magnetic phenomenology is interpreted as an evidence of competing
magnetic interactions permeating the system, first of all of the single ion
anisotropy energy and the exchange interactions. Different coordinations of the
Co(2+)-ions involved in the low-symmetry C2/c structure of Co7(TeO3)4Br6 render
the exchange-interaction network very complex by itself. Temperature dependent
changes in the magnetic structure, together with an abrupt emergence of a
ferromagnetic component, are ascribed to continual spin reorientations
described by a multi-component, but yet unknown, spin Hamiltonian.
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Not bad, decent taste. Little bit of a stale taste though.
These aren’t bad. For a zero net carb bagel they are pretty decent. Toast them and add cream cheese and you can’t tell too much the difference. They do have more of a stale taste/texture to them than normal bagels. And for six, they are certainly a bit priced then normal bagels, but they are a good way to indulge and not break a diet if you have a bread craving!
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Product died after a month
Initially this worked perfectly. Did what its supposed to do and helped me network a clients office. Now after only a month it's dead. New batteries and nothing. Now on site and need to run out and buy one of quality which I should have done to begin with. If you need something reliable, I'd probably opt for something a little better, if you only need it to work for a project or two, this could work for you.
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We examine the influence of input data representations on learning
complexity. For learning, we posit that each model implicitly uses a candidate
model distribution for unexplained variations in the data, its noise model. If
the model distribution is not well aligned to the true distribution, then even
relevant variations will be treated as noise. Crucially however, the alignment
of model and true distribution can be changed, albeit implicitly, by changing
data representations. "Better" representations can better align the model to
the true distribution, making it easier to approximate the input-output
relationship in the data without discarding useful data variations. To quantify
this alignment effect of data representations on the difficulty of a learning
task, we make use of an existing task complexity score and show its connection
to the representation-dependent information coding length of the input.
Empirically we extract the necessary statistics from a linear regression
approximation and show that these are sufficient to predict relative learning
performance outcomes of different data representations and neural network types
obtained when utilizing an extensive neural network architecture search. We
conclude that to ensure better learning outcomes, representations may need to
be tailored to both task and model to align with the implicit distribution of
model and task.
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Ehh, can cook with them they require same care as ceramic ones.
SO far these pans are okay. I have not used them much yet. What I have cooked has cooked quickly, and evenly, and easy to clean so 3 stars. The handles are to small, and difficult to grasp using a silicone high temp oven mit, and with the handles on the pots that is what would be safest to use (high temp silicone ones) the handles get very hot. The little mits that come with it are useless. I don't like the lids the tops are small, and was hard for me to grasp, and they will require tightening the screws often like most sets do annoying. Still a good value for the money, and if the price comes down more then it is now I will prob order another set. No they can't or should not be put in dishwasher, scrubby side of sponge may also scratch them, not for camp fires, plastic or metal will scratch them. Use high temp silicone or wood utensils for cooking.
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Doesn’t work
I bought this for my daughter and we were so excited about it. It worked for maybe 20 minutes tops... I thought that maybe my batteries were bad.. nope. We tried several different batteries and it still doesn’t work. It’s a cute puzzle, I just wish it still sang the song!
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We present results for lattice QCD in the limit of infinite gauge coupling on
a discrete spatial but continuous Euclidean time lattice. A worm type Monte
Carlo algorithm is applied in order to sample two-point functions which gives
access to the measurement of mesonic temporal correlators. The continuous time
limit, based on sending $N_\tau\rightarrow \infty$ and the bare anistotropy to
infinity while fixing the temperature in a non-perturbative setup, has various
advantages: the algorithm is sign problem free, fast, and accumulates high
statistics for correlation functions. Even though the measurement of temporal
correlators requires the introduction of a binning in time direction, this
discretization can be chosen to be by orders finer compared to discrete
computations. For different spatial volumes, temporal correlators are measured
at zero spatial momentum for a variety of mesonic operators. They are fitted to
extract the pole masses and corresponding particles as a function of the
temperature. We conclude discussing the possibility to extract transport
coefficients from these correlators.
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Despite existing work in machine learning inference serving, ease-of-use and
cost efficiency remain challenges at large scales. Developers must manually
search through thousands of model-variants -- versions of already-trained
models that differ in hardware, resource footprints, latencies, costs, and
accuracies -- to meet the diverse application requirements. Since requirements,
query load, and applications themselves evolve over time, these decisions need
to be made dynamically for each inference query to avoid excessive costs
through naive autoscaling. To avoid navigating through the large and complex
trade-off space of model-variants, developers often fix a variant across
queries, and replicate it when load increases. However, given the diversity
across variants and hardware platforms in the cloud, a lack of understanding of
the trade-off space can incur significant costs to developers.
This paper introduces INFaaS, a managed and model-less system for distributed
inference serving, where developers simply specify the performance and accuracy
requirements for their applications without needing to specify a specific
model-variant for each query. INFaaS generates model-variants, and efficiently
navigates the large trade-off space of model-variants on behalf of developers
to meet application-specific objectives: (a) for each query, it selects a
model, hardware architecture, and model optimizations, (b) it combines VM-level
horizontal autoscaling with model-level autoscaling, where multiple, different
model-variants are used to serve queries within each machine. By leveraging
diverse variants and sharing hardware resources across models, INFaaS achieves
1.3x higher throughput, violates latency objectives 1.6x less often, and saves
up to 21.6x in cost (8.5x on average) compared to state-of-the-art inference
serving systems on AWS EC2.
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Suppose that a compound Poisson process is observed discretely in time and
assume that its jump distribution is supported on the set of natural numbers.
In this paper we propose a non-parametric Bayesian approach to estimate the
intensity of the underlying Poisson process and the distribution of the jumps.
We provide a MCMC scheme for obtaining samples from the posterior. We apply our
method on both simulated and real data examples, and compare its performance
with the frequentist plug-in estimator proposed by Buchmann and Gr\"ubel. On a
theoretical side, we study the posterior from the frequentist point of view and
prove that as the sample size $n\rightarrow\infty$, it contracts around the
`true', data-generating parameters at rate $1/\sqrt{n}$, up to a $\log n$
factor.
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Bad vibrato
It worked really well for a few months, then last month it started vibrating continually on the left side (where the controls are) while still playing. It didn't stop until the battery ran out. I recharged it and it worked for about an hour before it started vibrating again.
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Defect spins in silicon carbide have become promising platforms with respect
to quantum information processing and quantum sensing. Indeed, the optically
detected magnetic resonance (ODMR) of defect spins is the cornerstone of the
applications. In this work, we systematically investigate the contrast and
linewidth of laser-and microwave power-dependent ODMR with respect to
ensemble-divacancy spins in silicon carbide at room temperature. The results
suggest that magnetic field sensing sensitivity can be improved by a factor of
10 for the optimized laser and microwave power range. The experiment will be
useful for the applications of silicon carbide defects in quantum information
processing and ODMR-dependent quantum sensing.
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In Mexico City, the former CIA assassin and presently an alcoholic decadent man John Creasy (Denzel Washington) is hired by the industrialist Samuel Ramos (Marc Anthony), with the recommendation of his old friend Rayburn (Christopher Walken), to be the bodyguard of his young daughter Pita (Dakota Fanning) and his wife Lisa (Radha Mitchell). Pita changes the behavior of the cold Creasy, making him live and smile again, and he feels a great affection for her. When the girl is kidnapped and Creasy is informed that she was murdered by the criminals, he swears to kill each one responsible for the abduction.<br /><br />"Man on Fire" is almost a masterpiece, and will become certainly a classic in the future. The story is excellent, never corny and although having 146 minutes running time, the viewer does not feel time passing. The cast is composed by excellent actors and actresses, their performances are outstanding, highlighting Denzel Washington, Dakota Fanning and Radha Mitchell. The cinematography has wonderful moments, and the screenplay has stunning lines. I personally loved when the character of Christopher Walken explains to Manzano (Giancarlo Giannini) that Creasey's specialty is death, and he is preparing his masterpiece. I agree with the user that commented that "Man on Fire" is one of the best, if not the best, film of the year in this genre. My vote is ten.<br /><br />Title (Brazil): "Chamas da Vingança" ("Flames of the Revenge")
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We study a rate-independent system with non-convex energy and in the case of
a time-discontinuous loading. We prove existence of the rate-dependent viscous
regularization by time-incremental problems, while the existence of the so
called parameterized $BV$-solutions is obtained via vanishing viscosity in a
suitable parameterized setting. In addition, we prove that the solution set is
compact.
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Product has some issues. As far as cooking it is a great product; we use it frequently for fast meals
This is a great product; we use it frequently for fast meals. Makes the meat so tender. Hard-cooked eggs or apple sauce in 6 minutes. No longer have to soak beans or peas for soup, makes them in a jiffy. Changing my initial 5 stars to 3. the coating on the inside of the pot is flaking off. I see others have the same issue. Looking for a stainless steel replacement liner for it.
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Perhaps being a former Moscovite myself and having an elastic sense of humor prevents me from tossing this movie into the 'arthouse/festival crap' trashcan. It's not the greatest film of 2005, nor is it complete garbage. It just has a lot of problems. I also sincerely doubt this movie was banned due to any 'ideological fears', or 'conservative taboos' or any other reason this movie might conversely be called 'courageous' and 'uncompromising' abroad. It was banned because the censors knew 99% of the Russian film-goers would find it offensive because of the bad taste exercised during the shooting and editing of this otherwise dull film.<br /><br />So we have a strong opening shot. Wonderful sound design, excellent premise - laden with meaning and symbolism. The usage and placement of symbols will consistently be of the film's strongest aspects (not that the number 4 is a daunting visual challenge). Over the next 40 minutes we have an equally strong setup. An amusing and well-written bar conversation among the 3 (main?) characters, and we feel pathos for these people, the great country of Russia, the human condition and all that. Then the movie starts slowing down. We begin to wonder what -yawn- lies ahead.<br /><br />The rest is quite boring, simply put. Sure, the guy in the village tugs the heartstrings, and there are some slightly amusing moments. Nice sound, sure. But the enjoyment of this movie, not to mention the plot, are seriously compromised by the pacing problems. And this, this lack of a payoff for sitting through all the (nicely-shot) abject misery and bleakness, is what ultimately will make people angry at the 'offensive' stuff (personally, the main offensive scene bordered on being endearing, in that pathetic way harmless drunks can appear).<br /><br />If you want to watch an enjoyable movie where Russians get wasted for prolonged periods of time (the entire film), watch Particulars of the National Hunt. Much more rewarding post-Soviet stuff. So yeah, a 4 out of 10 for 4, nice and symbolic of my post-mediocre-film condition.
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Using robots to harvest sweet peppers in protected cropping environments has
remained unsolved despite considerable effort by the research community over
several decades. In this paper, we present the robotic harvester, Harvey,
designed for sweet peppers in protected cropping environments that achieved a
76.5% success rate (within a modified scenario) which improves upon our prior
work which achieved 58% and related sweet pepper harvesting work which achieved
33\%. This improvement was primarily achieved through the introduction of a
novel peduncle segmentation system using an efficient deep convolutional neural
network, in conjunction with 3D post-filtering to detect the critical cutting
location. We benchmark the peduncle segmentation against prior art
demonstrating a considerable improvement in performance with an F_1 score of
0.564 compared to 0.302. The robotic harvester uses a perception pipeline to
detect a target sweet pepper and an appropriate grasp and cutting pose used to
determine the trajectory of a multi-modal harvesting tool to grasp the sweet
pepper and cut it from the plant. A novel decoupling mechanism enables the
gripping and cutting operations to be performed independently. We perform an
in-depth analysis of the full robotic harvesting system to highlight
bottlenecks and failure points that future work could address.
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The asymptotic expansion of the distribution of the gradient test statistic
is derived for a composite hypothesis under a sequence of Pitman alternative
hypotheses converging to the null hypothesis at rate $n^{-1/2}$, $n$ being the
sample size. Comparisons of the local powers of the gradient, likelihood ratio,
Wald and score tests reveal no uniform superiority property. The power
performance of all four criteria in one-parameter exponential family is
examined.
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The recent experimental data of the weak charges of Cesium and proton is
analyzed in the framework of the models based on the $\mbox{SU}(3)_C\times
\mbox{SU}(3)_L \times \mbox{U}(1)_X$ (3-3-1) gauge group, including the 3-3-1
model with CKS mechanism (3-3-1CKS) and the general 3-3-1 models with arbitrary
$\beta$ (3-3-1$\beta$) with three Higgs triplets. We will show that at the TeV
scale, the mixing among neutral gauge bosons plays significant effect. Within
the present values of the weak charges of Cesium and proton we get the lowest
mass bound of the extra heavy neutral gauge boson to be 1.27 TeV. The results
derived from the weak charge data, perturbative limit of Yukawa coupling of the
top quark, and the relevant Landau poles favor the models with $\beta =\pm
1/\sqrt{3}$ and $\beta = 0$ while ruling out the ones with $\beta= \pm
\sqrt{3}$. In addition, there are some hints showing that in the 3-3-1 models,
the third quark family should be treated differently from the first twos.
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We test the truncated disc models using multiwavelength (optical/UV/X-ray)
data from the 2005 hard state outburst of the black hole SWIFT J1753.5-0127.
This system is both fairly bright and has fairly low interstellar absorption,
so gives one of the best datasets to study the weak, cool disc emission in this
state. We fit these data using models of an X-ray illuminated disc to constrain
the inner disc radius throughout the outburst. Close to the peak, the observed
soft X-ray component is consistent with being produced by the inner disc, with
its intrinsic emission enhanced in temperature and luminosity by reprocessing
of hard X-ray illumination in an overlap region between the disc and corona.
This disc emission provides the seed photons for Compton scattering to produce
the hard X-ray spectrum, and these hard X-rays also illuminate the outer disc,
producing the optical emission by reprocessing.
However, the situation is very different as the outburst declines. The
optical is probably cyclo-synchrotron radiation, self-generated by the flow,
rather than tracing the outer disc. Similarly, limits from reprocessing make it
unlikely that the soft X-rays are directly tracing the inner disc radius. This
is seen more clearly in a similarly dim low/hard state spectrum from XTE
J1118+480. The very small emitting area implied by the relatively high
temperature soft X-ray component is completely inconsistent with the much
larger, cooler, UV component which is well fit by a truncated disc. We
speculate on the origin of this component, but its existence as a clearly
separate spectral component from the truncated disc in XTE J1118+480 shows that
it does not simply trace the inner disc radius, so cannot constrain the
truncated disc models.
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In this paper, we study isogeny graphs of supersingular elliptic curves.
Supersingular isogeny graphs were introduced as a hard problem into
cryptography by Charles, Goren, and Lauter for the construction of
cryptographic hash functions [CGL06]. These are large expander graphs, and the
hard problem is to find an efficient algorithm for routing, or path-finding,
between two vertices of the graph. We consider four aspects of supersingular
isogeny graphs, study each thoroughly and, where appropriate, discuss how they
relate to one another.
First, we consider two related graphs that help us understand the structure:
the `spine' $\mathcal{S}$, which is the subgraph of
$\mathcal{G}_\ell(\overline{\mathbb{F}_p})$ given by the $j$-invariants in
$\mathbb{F}_p$, and the graph $\mathcal{G}_\ell(\mathbb{F}_p)$, in which both
curves and isogenies must be defined over $\mathbb{F}_p$. We show how to pass
from the latter to the former. The graph $\mathcal{S}$ is relevant for
cryptanalysis because routing between vertices in $\mathbb{F}_p$ is easier than
in the full isogeny graph. The $\mathbb{F}_p$-vertices are typically assumed to
be randomly distributed in the graph, which is far from true. We provide an
analysis of the distances of connected components of $\mathcal{S}$.
Next, we study the involution on $\mathcal{G}_\ell(\overline{\mathbb{F}_p})$
that is given by the Frobenius of $\mathbb{F}_p$ and give heuristics on how
often shortest paths between two conjugate $j$-invariants are preserved by this
involution (mirror paths). We also study the related question of what
proportion of conjugate $j$-invariants are $\ell$-isogenous for $\ell = 2,3$.
We conclude with experimental data on the diameters of supersingular isogeny
graphs when $\ell = 2$ and compare this with previous results on diameters of
LPS graphs and random Ramanujan graphs.
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Federated Learning allows multiple parties to jointly train a deep learning
model on their combined data, without any of the participants having to reveal
their local data to a centralized server. This form of privacy-preserving
collaborative learning however comes at the cost of a significant communication
overhead during training. To address this problem, several compression methods
have been proposed in the distributed training literature that can reduce the
amount of required communication by up to three orders of magnitude. These
existing methods however are only of limited utility in the Federated Learning
setting, as they either only compress the upstream communication from the
clients to the server (leaving the downstream communication uncompressed) or
only perform well under idealized conditions such as iid distribution of the
client data, which typically can not be found in Federated Learning. In this
work, we propose Sparse Ternary Compression (STC), a new compression framework
that is specifically designed to meet the requirements of the Federated
Learning environment. Our experiments on four different learning tasks
demonstrate that STC distinctively outperforms Federated Averaging in common
Federated Learning scenarios where clients either a) hold non-iid data, b) use
small batch sizes during training, or where c) the number of clients is large
and the participation rate in every communication round is low. We furthermore
show that even if the clients hold iid data and use medium sized batches for
training, STC still behaves pareto-superior to Federated Averaging in the sense
that it achieves fixed target accuracies on our benchmarks within both fewer
training iterations and a smaller communication budget.
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This is a great documentary film. Any fan of car racing should own a copy of this outstanding film. Director "Stephen Low" did a great job,as well as the main stars of the film, Father & Son, Mario & Michael Andretti. The DVD looks & sounds amazing. And best of all it's IMAX! Great home theater test disc.
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The history of gene families -- which are equivalent to event-labeled gene
trees -- can to some extent be reconstructed from empirically estimated
evolutionary event-relations containing pairs of orthologous, paralogous or
xenologous genes. The question then arises as whether inferred event-labeled
gene trees are "biologically feasible" which is the case if one can find a
species tree with which the gene tree can be reconciled in a time-consistent
way.
In this contribution, we consider event-labeled gene trees that contain
speciation, duplication as well as horizontal gene transfer and we assume that
the species tree is unknown. We provide a cubic-time algorithm to decide
whether a "time-consistent" binary species for a given event-labeled gene tree
exists and, in the affirmative case, to construct the species tree within the
same time-complexity.
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In this paper we explore a family of congruences over $\N^\ast$ from which
one builds a sequence of symmetric matrices related to the Mertens function.
From the results of numerical experiments, we formulate a conjecture about
the growth of the quadratic norm of these matrices, which implies the Riemann
hypothesis. This suggests that matrix analysis methods may come to play a more
important role in this classical and difficult problem.
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We study the effects of a fourth generation t' quark in various extensions of
the standard model. In the Randall-Sundrum model, the decay t'--> t Z has a
large branching ratio that could be detected at the Large Hadron Collider
(LHC). We also look at the two-Higgs doublet models I, II and III, and note
that, in the latter, the branching ratio of t' --> t H, where H is a Higgs
scalar or pseudoscalar, is huge and we discuss detection at the LHC. A few
comments about the minimal supersymmetric standard model are also included.
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This paper studies the $r$-range search problem for curves under the
continuous Fr\'echet distance: given a dataset $S$ of $n$ polygonal curves and
a threshold $r>0$, construct a data structure that, for any query curve $q$,
efficiently returns all entries in $S$ with distance at most $r$ from $q$. We
propose FRESH, an approximate and randomized approach for $r$-range search,
that leverages on a locality sensitive hashing scheme for detecting candidate
near neighbors of the query curve, and on a subsequent pruning step based on a
cascade of curve simplifications. We experimentally compare \fresh to exact and
deterministic solutions, and we show that high performance can be reached by
suitably relaxing precision and recall.
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Branching process approximation to the initial stages of an epidemic process
has been used since the 1950's as a technique for providing stochastic
counterparts to deterministic epidemic threshold theorems. One way of
describing the approximation is to construct both branching and epidemic
processes on the same probability space, in such a way that their paths
coincide for as long as possible. In this paper, it is shown, in the context of
a Markovian model of parasitic infection, that coincidence can be achieved with
asymptotically high probability until o(N^{2/3}) infections have occurred,
where N denotes the total number of hosts.
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We design and analyze a new adaptive stabilized finite element method. We
construct a discrete approximation of the solution in a continuous trial space
by minimizing the residual measured in a dual norm of a discontinuous test
space that has inf-sup stability. We formulate this residual minimization as a
stable saddle-point problem which delivers a stabilized discrete solution and a
residual representation that drives the adaptive mesh refinement. Numerical
results on an advection-reaction model problem show competitive error reduction
rates when compared to discontinuous Galerkin methods on uniformly refined
meshes and smooth solutions. Moreover, the technique leads to optimal decay
rates for adaptive mesh refinement and solutions having sharp layers.
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It's Alright
For one bottle of this I don't see why it would take more than 4 days. Unless you have the time to wait, I suggest buying from someone faster. I forgot I even bought this it took so long. It doesn't dry out my cuticles or dry up my skin like the remover I have now by Onyx. But it does take a bit to just remove a clear top coat. I had to re-dab about 4x to remove all the polish on my nails but definitely doesn't dry up on the towel quickly like the Onyx. I'll update my review when I've used to take off deep blue nail polish and glitter polish.
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Computational formulations for large strain, polyconvex, nearly
incompressible elasticity have been extensively studied, but research on
enhancing solution schemes that offer better tradeoffs between accuracy,
robustness, and computational efficiency remains to be highly relevant. In this
paper, we present two methods to overcome locking phenomena, one based on a
displacement-pressure formulation using a stable finite element pairing with
bubble functions, and another one using a simple pressure-projection stabilized
P1-P1 finite element pair. A key advantage is the versatility of the proposed
methods: with minor adjustments they are applicable to all kinds of finite
elements and generalize easily to transient dynamics. The proposed methods are
compared to and verified with standard benchmarks previously reported in the
literature. Benchmark results demonstrate that both approaches provide a robust
and computationally efficient way of simulating nearly and fully incompressible
materials.
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We consider global geometric properties of a codimension one manifold
embedded in Euclidean space, as it evolves under an isotropic and volume
preserving Brownian flow of diffeomorphisms. In particular, we obtain
expressions describing the expected rate of growth of the Lipschitz-Killing
curvatures, or intrinsic volumes, of the manifold under the flow.
These results shed new light on some of the intriguing growth properties of
flows from a global perspective, rather than the local perspective, on which
there is a much larger literature.
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In Refs.[1] and [2], calculation of effective resistances on distance-regular
networks was investigated, where in the first paper, the calculation was based
on the stratification of the network and Stieltjes function associated with the
network, whereas in the latter one a recursive formula for effective
resistances was given based on the Christoffel-Darboux identity. In this paper,
evaluation of effective resistances on more general networks called
pseudo-distance-regular networks [21] or QD type networks \cite{obata} is
investigated, where we use the stratification of these networks and show that
the effective resistances between a given node such as $\alpha$ and all of the
nodes $\beta$ belonging to the same stratum with respect to $\alpha$
($R_{\alpha\beta^{(m)}}$, $\beta$ belonging to the $m$-th stratum with respect
to the $\alpha$) are the same. Then, based on the spectral techniques, an
analytical formula for effective resistances $R_{\alpha\beta^{(m)}}$ such that
$L^{-1}_{\alpha\alpha}=L^{-1}_{\beta\beta}$ (those nodes $\alpha$, $\beta$ of
the network such that the network is symmetric with respect to them) is given
in terms of the first and second orthogonal polynomials associated with the
network, where $L^{-1}$ is the pseudo-inverse of the Laplacian of the network.
From the fact that in distance-regular networks,
$L^{-1}_{\alpha\alpha}=L^{-1}_{\beta\beta}$ is satisfied for all nodes
$\alpha,\beta$ of the network, the effective resistances
$R_{\alpha\beta^{(m)}}$ for $m=1,2,...,d$ ($d$ is diameter of the network which
is the same as the number of strata) are calculated directly, by using the
given formula.
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In the context of the Semantic Web, several approaches to the combination of
ontologies, given in terms of theories of classical first-order logic and rule
bases, have been proposed. They either cast rules into classical logic or limit
the interaction between rules and ontologies. Autoepistemic logic (AEL) is an
attractive formalism which allows to overcome these limitations, by serving as
a uniform host language to embed ontologies and nonmonotonic logic programs
into it. For the latter, so far only the propositional setting has been
considered. In this paper, we present three embeddings of normal and three
embeddings of disjunctive non-ground logic programs under the stable model
semantics into first-order AEL. While the embeddings all correspond with
respect to objective ground atoms, differences arise when considering
non-atomic formulas and combinations with first-order theories. We compare the
embeddings with respect to stable expansions and autoepistemic consequences,
considering the embeddings by themselves, as well as combinations with
classical theories. Our results reveal differences and correspondences of the
embeddings and provide useful guidance in the choice of a particular embedding
for knowledge combination.
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One of the reasons why it is hard to get accurate buyer information, is that the information we do have is deliberately withheld.
It took an FOI from the Northshore News to get the BC Liberal government to release stats on the number of foreign buyers in West and North Vancouver.
You have to ask yourself why, oh why does the government refuse to release information pertaining as to who buys real estate?
Just like the Feds for so many years, refused to release data regarding the number of immigrants via Quebec's Investor program who were packing their bags and heading to Vancouver, and to a lesser extent Toronto. As in almost all of them.
(Just because the BC Liberals wanted this not released.. 24% of the RE sales in West Vancouver were to foreign buyers before the implementation of the tax.).
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