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Yes, maybe there are parts of this film which require suspending belief a little but that doesn't take anything away from the film's charm and wonder. It was shown as part of our town's youth film festival and was the organising committee's favourite. Which is not surprising. The subject matter - coming together in a race-torn, though post-apartheid South Africa is highly topical and the treatment of the theme is inspirational. Of course, as the previous comment mentions the film does have its shortcomings, but the realism of the setting and the way the director treats his subject matter belies these shortcomings. I saw this with my wife and we returned the same evening with the children. A film to watch, meditate, discuss and act upon.
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My boys really enjoy this! They have to have a night light ...
My boys really enjoy this! They have to have a night light all the time so I decided to buy them something they would love to look at. The lights are nice and subtle and it works great! Stays on all night too! I love looking at the stars!!!!!
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Statistical models incorporating change points are common in practice,
especially in the area of biomedicine. This approach is appealing in that a
specific parameter is introduced to account for the abrupt change in the
response variable relating to a particular independent variable of interest.
The statistical challenge one encounters is that the likelihood function is not
differentiable with respect to this change point parameter. Consequently, the
conventional asymptotic properties for the maximum likelihood estimators fail
to hold in this situation. In this paper, we propose an estimating procedure
for estimating the change point along with other regression coefficients under
the generalized linear model framework. We show that the proposed estimators
enjoy the conventional asymptotic properties including consistency and
normality. Simulation work we conducted suggests that it performs well for the
situations considered. We applied the proposed method to a case-control study
aimed to examine the relationship between the risk of myocardial infarction and
alcohol intake.
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In this paper, we propose a new analytical framework to solve medium access
problem for secondary users (SUs) in cognitive radio networks. Partially
Observable Stochastic Games (POSG) and Decentralized Markov Decision Process
(Dec-POMDP) are two multi-agent Markovian decision processes which are used to
present a solution. A primary network with two SUs is considered as an example
to demonstrate our proposed framework. Two different scenarios are assumed. In
the first scenario, SUs compete to acquire the licensed channel which is
modeled using POSG framework. In the second one, SUs cooperate to access
channel for which the solution is based on Dec-POMDP. Besides, the dominant
strategy for both of the above mentioned scenarios is presented for a three
slot horizon length.
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Great Laser Picture for Display - Great Size !
I LOVE this Golden Retriever Christmas Laser Lighted picture! It has a great size, and love the Laser Lighting of "Merry Christmas" beneath the puppies in the Red Truck. The only thing I would like is to have a remote ON/OFF switch instead of a switch on the side of the picture because when you are short or tall if picture is behind furniture or up high, you can't easily press the switch on/off, and therefore it has to stay on under you run out of battery life. Like my Luminara Candles that have a remote that turn them ON/OFF with the press of a button, these type of pictures need that remote access.
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The story is quite slow at the beginning except few interesting humour that come along the way but some of the plot still empty.<br /><br />The science on how the kid entered the 21st century is still a mystery except at the end of the movie, we have been shown of how.<br /><br />Other than that, everything looks ok!
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A permutation array(permutation code, PA) of length $n$ and distance $d$,
denoted by $(n,d)$ PA, is a set of permutations $C$ from some fixed set of $n$
elements such that the Hamming distance between distinct members
$\mathbf{x},\mathbf{y}\in C$ is at least $d$. In this correspondence, we
present two constructions of PA from fractional polynomials over finite field,
and a construction of $(n,d)$ PA from permutation group with degree $n$ and
minimal degree $d$. All these new constructions produces some new lower bounds
for PA.
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The theory of gravitation in the spacetime with Finsler structure is
constructed. It is shown that the theory keeps general covariance. Such theory
reduces to Einstein's general relativity when the Finsler structure is
Riemannian. Therefore, this covariant theory of gravitation is an elegant
realization of Einstein's thoughts on gravitation in the spacetime with Finsler
structure.
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The expression of survival factors for radiation damaged cells is based on
probabilistic assumptions and experimentally fitted for each tumor, radiation
and conditions. Here we show how the simplest of these radiobiological models
can be derived from the maximum entropy principle of the classical
Boltzmann-Gibbs expression. We extend this derivation using the Tsallis entropy
and a cutoff hypothesis, motivated by clinical observations. A generalization
of the exponential, the logarithm and the product to a non-extensive framework,
provides a simple formula for the survival fraction corresponding to the
application of several radiation doses on a living tissue. The obtained
expression shows a remarkable agreement with the experimental data found in the
literature, also providing a new interpretation of some of the parameters
introduced anew. It is also shown how the presented formalism may has direct
application in radiotherapy treatment optimization through the definition of
the potential effect difference, simply calculated between the tumour and the
surrounding tissue.
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In this work we present a novel approach to joint semantic localisation and
scene understanding. Our work is motivated by the need for localisation
algorithms which not only predict 6-DoF camera pose but also simultaneously
recognise surrounding objects and estimate 3D geometry. Such capabilities are
crucial for computer vision guided systems which interact with the environment:
autonomous driving, augmented reality and robotics. In particular, we propose a
two step procedure. During the first step we train a convolutional neural
network to jointly predict per-pixel globally unique instance labels and
corresponding local coordinates for each instance of a static object (e.g. a
building). During the second step we obtain scene coordinates by combining
object center coordinates and local coordinates and use them to perform 6-DoF
camera pose estimation. We evaluate our approach on real world (CamVid-360) and
artificial (SceneCity) autonomous driving datasets. We obtain smaller mean
distance and angular errors than state-of-the-art 6-DoF pose estimation
algorithms based on direct pose regression and pose estimation from scene
coordinates on all datasets. Our contributions include: (i) a novel formulation
of scene coordinate regression as two separate tasks of object instance
recognition and local coordinate regression and a demonstration that our
proposed solution allows to predict accurate 3D geometry of static objects and
estimate 6-DoF pose of camera on (ii) maps larger by several orders of
magnitude than previously attempted by scene coordinate regression methods, as
well as on (iii) lightweight, approximate 3D maps built from 3D primitives such
as building-aligned cuboids.
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A roundtrip spanner of a directed graph $G$ is a subgraph of $G$ preserving
roundtrip distances approximately for all pairs of vertices. Despite extensive
research, there is still a small stretch gap between roundtrip spanners in
directed graphs and undirected graphs. For a directed graph with real edge
weights in $[1,W]$, we first propose a new deterministic algorithm that
constructs a roundtrip spanner with $(2k-1)$ stretch and $O(k n^{1+1/k}\log
(nW))$ edges for every integer $k> 1$, then remove the dependence of size on
$W$ to give a roundtrip spanner with $(2k-1)$ stretch and $O(k n^{1+1/k}\log
n)$ edges. While keeping the edge size small, our result improves the previous
$2k+\epsilon$ stretch roundtrip spanners in directed graphs [Roditty, Thorup,
Zwick'02; Zhu, Lam'18], and almost matches the undirected $(2k-1)$-spanner with
$O(n^{1+1/k})$ edges [Alth\"ofer et al. '93] when $k$ is a constant, which is
optimal under Erd\"os conjecture.
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A model is developed describing the approach to a finite-time singularity of
the Navier-Stokes equations for two interacting vortices. The model is derived
from a combination of the Biot-Savart law and an equation describing the
evolution of the vortex core cross-sections. A nonlinear dynamical system is
derived for the minimum separation parameter $s(\tau)$, the curvature
$\kappa(\tau)$, and the radial scale $\delta(\tau)$ of the vortex cross-section
at the points of closest approach, where $\tau$ is dimensionless time. The
scaling properties of this system are investigated.
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Solid and practical
I received one of these keyboard silicones in Hebrew and it is pretty good ad does its job. I wish it would actually my MacbookPro 2018 a little better but it works fine. Also, I wish it was a little less "slippery". I mean when I write sometimes the keyboard slips away so every couple of minutes I have to readjust it to my keyboard. But again, solid thing and useful still.
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We present near-infrared and optical imaging of fifteen candidate black hole
X-ray binaries. In addition to quiescent observations for all sources, we also
observed two of these sources (IGR J17451-3022 and XTE J1818-245) in outburst.
We detect the quiescent counterpart for twelve out of fifteen sources, and for
the remaining three we report limiting magnitudes. The magnitudes of the
detected counterparts range between $K_s$ = 17.59 and $K_s$ = 22.29 mag. We
provide (limits on) the absolute magnitudes and finding charts of all sources.
Of these twelve detections in quiescence, seven represent the first quiescent
reported values (for MAXI J1543-564, XTE J1726-476, IGR J17451-3022, XTE
J1818-245, MAXI J1828-249, MAXI J1836-194, Swift J1910.2-0546) and two
detections show fainter counterparts to XTE J1752-223 and XTE J2012+381 than
previously reported. We used theoretical arguments and observed trends, for
instance between the outburst and quiescent X-ray luminosity and orbital period
$P_{orb}$ to derive an expected trend between $\Delta K_s$ and $P_{orb}$ of
$\Delta K_s \propto \log P_{orb}^{0.565}$. Comparing this to observations we
find a different behaviour. We discuss possible explanations for this result.
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Observations suggest that some massive stars experience violent and eruptive
mass loss associated with significant brightening that cannot be explained by
hydrostatic stellar models. This event seemingly forms dense circumstellar
matter (CSM). The mechanism of eruptive mass loss has not been fully explained.
We focus on the fact that the timescale of nuclear burning gets shorter than
the dynamical timescale of the envelope a few years before core collapse for
some massive stars. To reveal the properties of the eruptive mass loss, we
investigate its relation to the energy injection at the bottom of the envelope
supplied by nuclear burning taking place inside the core. In this study, we do
not specify the actual mechanism for transporting energy from the site of
nuclear burning to the bottom of the envelope. Instead, we parameterize the
amount of injected energy and the injection time and try to extract information
on these parameters from comparisons with observations. We carried out 1-D
radiation hydrodynamical simulations for progenitors of red, yellow, and blue
supergiants, and Wolf-Rayet stars. We calculated the evolution of the
progenitors with a public stellar evolution code. We obtain the light curve
associated with the eruption, the amount of ejected mass, and the CSM
distribution at the time of core-collapse. The energy injection at the bottom
of the envelope of a massive star within a period shorter than the dynamical
timescale of the envelope could reproduce some observed optical outbursts prior
to the core-collapse and form the CSM, which can power an interaction supernova
(SN) classified as type IIn.
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We present WASP-43b climate simulations with deep wind jets (down to 700~bar)
that are linked to retrograde (westward) flow at the equatorial day side for
$p<0.1$~bar. Retrograde flow inhibits efficient eastward heat transport and
naturally explains the small hotspot shift and large day-night-side gradient of
WASP-43b ($P_{\text{orb}}=P_{\text{rot}}=0.8135$~days) observed with Spitzer.
We find that deep wind jets are mainly associated with very fast rotations
($P_{\text{rot}}=P_{\text{orb}}\leq 1.5$~days) which correspond to the Rhines
length smaller than $2$ planetary radii. We also diagnose wave activity that
likely gives rise to deviations from superrotation. Further, we show that we
can achieve full steady state in our climate simulations by imposing a deep
forcing regime for $p>10$~bar: convergence time scale
$\tau_{\text{conv}}=10^6-10^8$~s to a common adiabat, as well as linear drag at
depth ($p\geq 200$~bar), which mimics to first order magnetic drag. Lower
boundary stability and the deep forcing assumptions were also tested with
climate simulations for HD~209458b ($P_{\text{orb}}=P_{\text{rot}}=3.5$~days).
HD~209458b simulations always show shallow wind jets (never deeper than
100~bar) and unperturbed superrotation. If we impose a fast rotation
($P_{\text{orb}}=P_{\text{rot}}=0.8135$~days), also the HD~209458b-like
simulation shows equatorial retrograde flow at the day side. We conclude that
the placement of the lower boundary at $p=200$~bar is justified for slow
rotators like HD~209458b, but we suggest that it has to be placed deeper for
fast-rotating, dense hot Jupiters ($P_{\text{orb}}\leq 1.5$~days) like
WASP-43b. Our study highlights that the deep atmosphere may have a strong
influence on the observable atmospheric flow in some hot Jupiters.
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We develop a unified framework for the construction of soft dressings at
boundaries of spacetime, such as the null infinity of Minkowski spacetime and
the horizon of a Schwarzschild black hole. The construction is based on an old
proposal of Mandelstam for quantizing QED and considers matter fields dressed
by Wilson lines. Along time-like paths, the Wilson lines puncturing the
boundary are the analogs of flat space Faddeev-Kulish dressings. We focus on
the Schwarzschild black hole where our framework provides a
quantum-field-theoretical perspective of the Hawking-Perry-Strominger viewpoint
that black holes carry soft hair, through a study of the Wilson line dressings,
localized on the horizon.
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This paper introduces a novel feature detector based only on information
embedded inside a CNN trained on standard tasks (e.g. classification). While
previous works already show that the features of a trained CNN are suitable
descriptors, we show here how to extract the feature locations from the network
to build a detector. This information is computed from the gradient of the
feature map with respect to the input image. This provides a saliency map with
local maxima on relevant keypoint locations. Contrary to recent CNN-based
detectors, this method requires neither supervised training nor finetuning. We
evaluate how repeatable and how matchable the detected keypoints are with the
repeatability and matching scores. Matchability is measured with a simple
descriptor introduced for the sake of the evaluation. This novel detector
reaches similar performances on the standard evaluation HPatches dataset, as
well as comparable robustness against illumination and viewpoint changes on
Webcam and photo-tourism images. These results show that a CNN trained on a
standard task embeds feature location information that is as relevant as when
the CNN is specifically trained for feature detection.
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BackgroundCognitive impairment is a feature of Parkinsons Disease (PD) from the early stages, but currently, no treatment for cognitive deficits in PD is available. Erythropoietin (EPO) has been studied for its potential neuroprotective properties in neurologic disorders with a beneficial action on cognition.
ObjectiveTo evaluate if NeuroEPO, a new formulation of EPO with low content of sialic acid, improves the cognitive function in PD patients.
MethodsA double-blind, randomized, placebo-controlled physician lead trial was conducted. The sample was composed of 26 PD patients (HY stages I-II), where 15 received intranasal NeuroEPO for 5 weeks, and another age and gender-matched 11 patients were randomly assigned to the Placebo. All the samples received 9 months of intensive NeuroEPO treatment during a post-trial. The cognitive functions were assessed using a comprehensive neuropsychological battery before, one week, and 6 months after the first intervention and one week after a 9months post-trial. The effects of NeuroEPO were evaluated using a multivariate linear mixed-effects model using a latent variable for cognition instead of the raw neuropsychological scores.
ResultsA significant and direct effect of the Dose of NeuroEPO (p=0.00003) was found on cognitive performance with a strong positive influence of educational level (p=0.0032) and negative impact of age (p=0.0063).
ConclusionsThese preliminary results showed a positive effect of NeuroEPO on cognition in PD patients with better benefit for younger and higher educated patients.
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In a quantum measurement setting, it is known that environment-induced
decoherence theory describes the emergence of effectively classical features of
the quantum system-measuring apparatus composite system when the apparatus is
allowed to interact with the environment. In [E.A. Galapon {\it EPL} {\bf 113}
60007 (2016)], a measurement model is found to have the feature of inducing
exact decoherence at a finite time via one internal degree of freedom of the
apparatus provided that the apparatus is decomposed into a pointer and an
inaccessible probe, with the pointer and the probe being in momentum-limited
initial states. However, an issue can be raised against the model: while the
factorization method of the time evolution operator used there is formally
correct, it is not completely rigorous due to some unstated conditions on the
validity of the factorization in the Hilbert space of the model. Furthermore,
no examples were presented there in implementing the measurement scheme in
specific quantum systems. The goal of this paper is to re-examine the model and
confirm its features independently by solving the von Neumann equation for the
joint state of the composite system as a function of time. This approach
reproduces the joint state obtained in the original work, leading to the same
conditions for exact decoherence and orthogonal pointer states when the
required initial conditions on the probe and pointer are imposed. We illustrate
the exact decoherence process in the measurement of observables of a spin-1/2
particle and a quantum harmonic oscillator by using the model.
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OK, it was a good American Pie. Erick Stifler goes off to college with his buddy Cooze. During their arrival they meet up with Eric's cousin Dwight. The two pledge to become Betas and along the way they get involved with a whole lot of sex, tits, and some hot girls along the way. In a few words there is a lot more sex, nudity and alcohol. It is a good movie for those who want to enjoy an American Pie movie, granted it isn't as great as the first three is is a good movie. If you enjoy hot girls with really nice tits, get this movie. If you enjoy seeing a bunch of dudes making assholes of themselves, go to this movie. If you want to see the full thing, get the unrated addition. One last thing this is a better attempt than the last two American Pies.
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We investigate the boundary between classical and quantum computational
power. This work consists of two parts. First we develop new classical
simulation algorithms that are centered on sampling methods. Using these
techniques we generate new classes of classically simulatable quantum circuits
where standard techniques relying on the exact computation of measurement
probabilities fail to provide efficient simulations. For example, we show how
various concatenations of matchgate, Toffoli, Clifford, bounded-depth, Fourier
transform and other circuits are classically simulatable. We also prove that
sparse quantum circuits as well as circuits composed of CNOT and exp[iaX] gates
can be simulated classically. In a second part, we apply our results to the
simulation of quantum algorithms. It is shown that a recent quantum algorithm,
concerned with the estimation of Potts model partition functions, can be
simulated efficiently classically. Finally, we show that the exponential
speed-ups of Simon's and Shor's algorithms crucially depend on the very last
stage in these algorithms, dealing with the classical postprocessing of the
measurement outcomes. Specifically, we prove that both algorithms would be
classically simulatable if the function classically computed in this step had a
sufficiently peaked Fourier spectrum.
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Since the first thoughts on this issue, which were held at European level on the initiative of the European Parliament, the Commission is committed to Member States to promote an action intended to develop what we could consider a European police culture, focused on the highest standards in terms of ethics, human rights and freedoms, and efficiency in the fight against crime.
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In this work, I have derived the equation of the curve obtained on reflection
of a point object in an arbitrary curved mirror if the object and the mirror
are placed on the 2D Cartesian plane. I have used only the basic laws of
reflection of classical geometric optics and elementary coordinate geometry.
Several examples are provided and compared with Gaussian optics. We also see
how the equations reduce to the standard mirror formula under the paraxial
approximation.
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Wiring instructions on box are WRONG!
Unit appears to be working properly. NOTE: Product has conflicting instructions concerning wiring for automatic vs manual function. The box says brown wire is for auto function. WRONG! The written instructions inside the box say the brown-white wire is for auto. CORRECT. You better test yours before finishing your wiring.
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Hated it. If you believe that everyone in the South is dumb, morally bankrupt, stupid, violent, a religious nut, or a child molester, then this film may be for you. Everyone is poor and seemingly ignorant. In one scene, two older men are talking in a general store and one mentions that he had molested a set of sisters before they could tie their shoes. The man seemed proud of his actions, and the other man clearly took it as a normal part of life. Very nice. A teenage girl walks the back roads looking for her sister and no one offers to help her -- despite an obvious limp and lack of food or water (no backpack, etc.). Strathairn's character is not only thoroughly disgusting and slimy, but he is shown to be a religious believer who (typical for Hollywood) reflects the vile nature of Christians. A scene in the movie is highly reminiscent of the end of Cape Fear (the one with DeNiro) -- Bible verses being spouted by the bad guy. I am from the Great Northwest, but found this film offensive because of the wonderful people I know who are from NC, WV, AL, MS, KY, TN, etc.
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Initial-boundary value problems in a half-strip with different types of
boundary conditions for two-dimensional Zakharov-Kuznetsov equation are
considered. Results on global well-posedness in classes of regular solutions in
the cases of periodic and Neumann boundary conditions, as well as on internal
regularity of solutions for all types of boundary conditions are established.
Also in the case of Dirichlet boundary conditions one result on long-time decay
of regular solutions is obtained.
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A new regime of turbulent convection has been reported nearly one decade ago,
based on global heat transfer measurements at very high Rayleigh numbers. We
examine the signature of this "Ultimate Regime" from within the flow itself. A
systematic study of probe-size corrections shows that the earlier temperature
measurements within the flow were altered by an excessive size of thermometer,
but not according to a theoretical model proposed in the literature. Using a
probe one order of magnitude smaller than the one used previously, we find
evidence that the transition to the Ultimate Regime is indeed accompanied with
a clear change in the statistics of temperature fluctuations in the flow.
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Not so much....
The idea of this product is great, but in reality it was a big stuck together mess after 15 min with my toddler. The stickers are not as reusable as the description would have you believe. Better off cutting shapes out of construction paper or pics from magazines to sort.
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It is surprising that under Vision Vancouver, developers can turn anything into high rise condo for the wealthy: the last couple gas stations in downtown, the Molson factory, Dunsmuir Viaduct, the Landmark Hotel, the Westin Bayshore, to name a few. The greed doesn't stop here. Since they have run out of land, they are colluding on wiping out the entire Chinatown to make more room.
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We need another crossing, but 8 billion dollars alone in financing, plus the estimated 3.5 billion (plus) to build?
http://www.news1130.com/2017/05/05/documents-show-financing-massey-tunnel-replacement-will-cost-8-billion/
Saner heads need to prevail.
We also need an open and honest conversation about the ALR land on both sides of the bridge. And Port Metro Vancouver's involvement in all of this.
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When I was a kid, I remember watching this while visiting a friend of our "Uncle" Phil. We're Back! A Dinosaur's Story is a silly cartoon about a dinosaur called Rex (voiced by the wonderful John Goodman). He tells a little boy dinosaur the story about how the dinosaurs came back to Earth to live. He explains that he was part of the thing that brought them back, along with some friends. The Doctor/Professor villain of this film I think might have been responsible for them being them back, but I don't care about him. The kids might like this, but personally it is just too cheesy. John Goodman was probably the only decent thing. Poor!
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If a knot $K$ in $S^3$ admits a pair of truly cosmetic surgeries, we show
that the surgery slopes are either $\pm 2$ or $\pm 1/q$ for some value of $q$
that is explicitly determined by the knot Floer homology of $K$. Moreover, in
the former case the genus of $K$ must be two, and in the latter case there is
bound relating $q$ to the genus and the Heegaard Floer thickness of $K$. As a
consequence, we show that the cosmetic crossing conjecture holds for
alternating knots (or more generally, Heegaard Floer thin knots) with genus not
equal to two. We also show that the conjecture holds for any knot $K$ for which
each prime summand of $K$ has at most 16 crossings; our techniques rule out
cosmetic surgeries in this setting except for slopes $\pm 1$ and $\pm 2$ on a
small number of knots, and these remaining examples can be checked by comparing
hyperbolic invariants. These results make use of the surgery formula for
Heegaard Floer homology, which has already proved to be a powerful tool for
obstructing cosmetic surgeries; we get stronger obstructions than previously
known by considering the full graded theory. We make use of a new graphical
interpretation of knot Floer homology and the surgery formula in terms of
immersed curves, which makes the grading information we need easier to access.
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The GOP is certainly not dead. The party controls the Congress, the White House, most state legislatures AND 34 of the 50 Governors are Republicans, just 15 are Democrats. That said, the Republican establishment could be losing its influence and Trump's base voters are looking for voters with a more pro working class bent. Breitbart News, lead by Steve Bannon is pushing candidates who support tougher immigration laws, a border wall, oppose many trade deals, foreign wars AND is less corporatist. For some reason the pro war, open borders, anti working class, corporate shills are acceptable to the mainstream media but the pro working class nationalists are to feared. Um no.
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We study computational problems arising from the iterated removal of weakly
dominated actions in anonymous games. Our main result shows that it is
NP-complete to decide whether an anonymous game with three actions can be
solved via iterated weak dominance. The two-action case can be reformulated as
a natural elimination problem on a matrix, the complexity of which turns out to
be surprisingly difficult to characterize and ultimately remains open. We
however establish connections to a matching problem along paths in a directed
graph, which is computationally hard in general but can also be used to
identify tractable cases of matrix elimination. We finally identify different
classes of anonymous games where iterated dominance is in P and NP-complete,
respectively.
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The direct detection of exoplanets has been the subject of intensive research
in the recent years. Data obtained with future high-contrast imaging
instruments optimized for giant planets direct detection are strongly limited
by the speckle noise. Specific observing strategies and data analysis methods,
such as angular and spectral differential imaging, are required to attenuate
the noise level and possibly detect the faint planet flux. Even though these
methods are very efficient at suppressing the speckles, the photometry of the
faint planets is dominated by the speckle residuals. The determination of the
effective temperature and surface gravity of the detected planets from
photometric measurements in different bands is then limited by the photometric
error on the planet flux. In this work we investigate this photometric error
and the consequences on the determination of the physical parameters of the
detected planets. We perform detailed end-to-end simulation with the CAOS-based
Software Package for SPHERE to obtain realistic data representing typical
observing sequences in Y, J, H and Ks bands with a high contrast imager. The
simulated data are used to measure the photometric accuracy as a function of
contrast for planets detected with angular and spectral+angular differential
methods. We apply this empirical accuracy to study the characterization
capabilities of a high-contrast differential imager. We show that the expected
photometric performances will allow the detection and characterization of
exoplanets down to the Jupiter mass at angular separations of 1.0" and 0.2"
respectively around high mass and low mass stars with 2 observations in
different filter pairs. We also show that the determination of the planets
physical parameters from photometric measurements in different filter pairs is
essentialy limited by the error on the determination of the surface gravity.
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Wouldn’t purchase again
Have 2 new pups and was looking to try a new spray for their accidents , was tired of smelling powder all the time from the other spray. I didn’t care for this smell and also noticed it left a stain where I had sprayed it. Have Almost a full bottle left and it’s been 2weeks.
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Recently, enthusiastic studies have devoted to texture synthesis using deep
neural networks, because these networks excel at handling complex patterns in
images. In these models, second-order statistics, such as Gram matrix, are used
to describe textures. Despite the fact that these model have achieved promising
results, the structure of their parametric space is still unclear,
consequently, it is difficult to use them to mix textures. This paper addresses
the texture mixing problem by using a Gaussian scheme to interpolate deep
statistics computed from deep neural networks. More precisely, we first reveal
that the statistics used in existing deep models can be unified using a
stationary Gaussian scheme. We then present a novel algorithm to mix these
statistics by interpolating between Gaussian models using optimal transport. We
further apply our scheme to Neural Style Transfer, where we can create mixed
styles. The experiments demonstrate that our method can achieve
state-of-the-art results. Because all the computations are implemented in
closed forms, our mixing algorithm adds only negligible time to the original
texture synthesis procedure.
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Cheap looking / Not what I expected
Wow. I'm so disappointed. I received this today and wanted to assemble it so that it lays horizontally in order to put bins in the 3 storage spaces and use it for a tv stand for a small t.v. However, it can only be stood straight up because the 2 shelves in the middle are only held in place by plastic pins. You know, the ones where you just sit the shelves on them. This is going back!
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Short battery life, watch for smoking
We liked this fan at first but after a few uses, the battery life was short and then one day it wouldn’t turn on and the unit around the battery started smoking! We got our money back. Love the idea, but not that great in the end.
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We construct an infinite family of homology theories of framed links in
thickened surfaces, as well as a homology theory whose graded Euler
characteristic is exactly the Kauffman bracket of the link in the surface. Both
theories are based on ideas coming from Asaeda, Przytycki and Sikora's
categorification of the Kauffman bracket skein module of I-bundles over
surfaces. This is accomplished by borrowing ideas from Bar-Natan's Khovanov
homology theory for tangles and cobordisms and using embedded surfaces to
generate the chain groups, instead of diagrams.
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We present the design, manufacturing technique, and characterization of a
3D-printed broadband graded index millimeter wave absorber. The absorber is
additively manufactured using a fused filament fabrication (FFF) 3D printer out
of a carbon-loaded high impact polystyrene (HIPS) filament and is designed
using a space-filling curve to optimize manufacturability using said process.
The absorber's reflectivity is measured from 63 GHz to 115 GHz and from 140 GHz
to 215 GHz and is compared to electromagnetic simulations. The intended
application is for terminating stray light in Cosmic Microwave Background (CMB)
telescopes, and the absorber has been shown to survive cryogenic thermal
cycling.
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Motivated by recently observed disagreements with the SM predictions in $B$
decays, we study $b \to d, s$ transitions in an asymmetric class of $SU(2)_L
\times SU(2)_R \times U(1)_{B-L}$ models, with a simple one-parameter structure
of the right handed mixing matrix for the quarks, which obeys the constraints
from kaon physics. We use experimental constraints on the branching ratios of
$b \to s \gamma$, $b \to c e {\bar \nu}_e$, and $B_{d,s}^0 -\bar{B}^0_{d,s}$
mixing to restrict the parameters of the model: $\displaystyle {g_R}/{g_L},
M_{W_2}, M_{H^\pm}, \tan \beta$ as well as the elements of the right-handed
quark mixing matrix $V^R_{CKM}$. We present a comparison with the more commonly
used (manifest) left-right symmetric model. Our analysis exposes the parameters
most sensitive to $b$ transitions and reveals a large parameter space where
left- and right-handed quarks mix differently, opening the possibility of
observing marked differences in behaviour between the standard model and the
left-right model.
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We consider a linear quench from the paramagnetic to ferromagnetic phase in
the quantum Ising chain interacting with a static spin environment. Both
decoherence from the environment and non-adiabaticity of the evolution near a
critical point excite the system from the final ferromagnetic ground state. For
weak decoherence and relatively fast quenches the excitation energy,
proportional to the number of kinks in the final state, decays like an inverse
square root of a quench time, but slow transitions or strong decoherence make
it decay in a much slower logarithmic way. We also find that fidelity between
the final ferromagnetic ground state and a final state after a quench decays
exponentially with a size of a chain, with a decay rate proportional to average
density of excited kinks, and a proportionality factor evolving from 1.3 for
weak decoherence and fast quenches to approximately 1 for slow transitions or
strong decoherence. Simultaneously, correlations between kinks randomly
distributed along the chain evolve from a near-crystalline anti-bunching to a
Poissonian distribution of kinks in a number of isolated Anderson localization
centers randomly scattered along the chain.
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Loss, Love and Hope
I loved everything about this book! It’s the first in what looks like is going to be a wonderful series!! There’s suspense, romance and some wickedly delish sci fi stuff!! Even if you’re not into the sci fi trope I honestly feel you’d still enjoy this book. At the basics it’s about loss, love and hope!
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For every prime $p > 2$ we exhibit a Cayley graph of $\mathbb{Z}_p^{2p+3}$
which is not a CI-graph. This proves that an elementary Abelian $p$-group of
rank greater than or equal to $2p+3$ is not a CI-group. The proof is elementary
and uses only multivariate polynomials and basic tools of linear algebra.
Moreover, we apply our technique to give a uniform explanation for the recent
works concerning the bound.
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We study the evolution of the holographic entanglement entropy (HEE) and the
holographic complexity (HC) after a thermal quench in $1+1$ dimensional
boundary CFTs dual to massive BTZ black holes. The study indicates how the
graviton mass $m_g$, the charge $q$, and also the size of the boundary region
$l$ determine the evolution of the HEE and HC. We find that for small $q$ and
$l$, the evolutions of the HEE and the HC is a continuous function. When $q$ or
$l$ is tuned larger, the discontinuity emerges, which could not observed in the
neutral AdS$_3$ backgrounds. We show that, the emergence of this discontinuity
is a universal behavior in the charged massive BTZ theory. With the increase of
graviton mass, on the other hand, no emergence of the discontinuity behavior
for any small $q$ and $l$ could be observed. We also show that the evolution of
the HEE and HC both become stable at later times, and $m_g$ speeds up reaching
to the stability during the evolution of the system. Moreover, we show that
$m_g$ decreases the final stable value of HEE but raises the stable value of
HC. Additionally, contrary to the usual picture in the literature that the
evolution of HC has only one peak, for big enough widths, we show that graviton
mass could introduce two peaks during the evolution. However, for large enough
charges the one peak behavior will be recovered again. We also examine the
evolutions of HEE and HC growths at the early stage, which an almost linear
behavior has been detected.
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I think exorbitant pay is partly due to cronyism in corporate boards. There are many examples of CEOs being paid not because of value (in fact, some of the highest pay goes to the worst performing CEOs) but rather due to rules that allow a few people to control capital. Taxes are just part of the way to fight against these flaws in the system.
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and it was in a shopping strip that had a grocery store on one end that took them almost four years to really get that going and that strip filled up but Kathy selected the middle store in the middle strip and there's still no stores on either side and it's been over a year and a half yes and and it's sad because it was it was a nice store and she was such a lovely young gal to work for i just feel very bad
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Benefitting from large-scale training datasets and the complex training
network, Convolutional Neural Networks (CNNs) are widely applied in various
fields with high accuracy. However, the training process of CNNs is very
time-consuming, where large amounts of training samples and iterative
operations are required to obtain high-quality weight parameters. In this
paper, we focus on the time-consuming training process of large-scale CNNs and
propose a Bi-layered Parallel Training (BPT-CNN) architecture in distributed
computing environments. BPT-CNN consists of two main components: (a) an
outer-layer parallel training for multiple CNN subnetworks on separate data
subsets, and (b) an inner-layer parallel training for each subnetwork. In the
outer-layer parallelism, we address critical issues of distributed and parallel
computing, including data communication, synchronization, and workload balance.
A heterogeneous-aware Incremental Data Partitioning and Allocation (IDPA)
strategy is proposed, where large-scale training datasets are partitioned and
allocated to the computing nodes in batches according to their computing power.
To minimize the synchronization waiting during the global weight update
process, an Asynchronous Global Weight Update (AGWU) strategy is proposed. In
the inner-layer parallelism, we further accelerate the training process for
each CNN subnetwork on each computer, where computation steps of convolutional
layer and the local weight training are parallelized based on task-parallelism.
We introduce task decomposition and scheduling strategies with the objectives
of thread-level load balancing and minimum waiting time for critical paths.
Extensive experimental results indicate that the proposed BPT-CNN effectively
improves the training performance of CNNs while maintaining the accuracy.
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In this work we present Discrete Attend Infer Repeat (Discrete-AIR), a
Recurrent Auto-Encoder with structured latent distributions containing discrete
categorical distributions, continuous attribute distributions, and factorised
spatial attention. While inspired by the original AIR model andretaining AIR
model's capability in identifying objects in an image, Discrete-AIR provides
direct interpretability of the latent codes. We show that for Multi-MNIST and a
multiple-objects version of dSprites dataset, the Discrete-AIR model needs just
one categorical latent variable, one attribute variable (for Multi-MNIST only),
together with spatial attention variables, for efficient inference. We perform
analysis to show that the learnt categorical distributions effectively capture
the categories of objects in the scene for Multi-MNIST and for Multi-Sprites.
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Just like all this other economies with Social Democratic governments have crashed.? I really wish we could get beyond this simple groupthink of alt right and alt left. It serves no purpose. Canada has not and never has had a truly left wing or socialist party. This constant refrain that the NDP will crash the economy is akin to an article of faith, it is a belief system. It is merely the mirror image of the belief that somehow Conservatives are the only ones who can make the finances work. The result of this Manichaean view is the Liberals slithering up the middle to win, and please, don't tell me the LPC is a left wing party. In any political system outside of the US Liberalism, that is, private enterprise under the rule of law , is firmly centre right.
Too bad that any NDP governments have usually come in to office faced with a huge mess to clean up. Gordon Campbell inherited a large surplus when he came in to office - where is it now?
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The C*-algebra qC is the smallest of the C*-algebras qA introduced by Cuntz
in the context of KK-theory. An important property of qC is the natural
isomorphism of K0 of D with classes of homomorphism from qC to matrix algebras
over D. Our main result concerns the exponential (boundary) map from K0 of a
quotient B to K1 of an ideal I. We show if a K0 element is realized as a
homomorphism from qC to B then its boundary is realized as a unitary in the
unitization of I. The picture we obtain of the exponential map is based on a
projective C*-algebra P that is universal for a set of relations slightly
weaker than the relations that define qC. A new, shorter proof of the
semiprojectivity of qC is described. Smoothing questions related the relations
for qC are addressed.
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We present a study of the average properties of luminous infrared galaxies
detected directly at 24 $\mu$m in the COSMOS field using a median stacking
analysis at 70$\mu$m and 160 $\mu$m. Over 35000 sources spanning 0<z<3 and 0.06
mJy<S_{24}<3.0 mJy are stacked, divided into bins of both photometric redshift
and 24 $\mu$m flux. We find no correlation of $S_{70}/S_{24}$ flux density
ratio with $S_{24}$, but find that galaxies with higher $S_{24}$ have a lower
$S_{160}/S_{24}$ flux density ratio. These observed ratios suggest that 24
$\mu$m selected galaxies have warmer SEDs at higher mid-IR fluxes, and
therefore have a possible higher fraction of AGN. Comparisons of the average
$S_{70}/S_{24}$ and $S_{160}/S_{24}$ colors with various empirical templates
and theoretical models show that the galaxies detected at 24 $\mu$m are
consistent with "normal" star-forming galaxies and warm mid-IR galaxies such as
Mrk 231, but inconsistent with heavily obscured galaxies such as Arp 220. We
perform a $\chi^{2}$ analysis to determine best fit galactic model SEDs and
total IR luminosities for each of our bins. We compare our results to previous
methods of estimating $L_{\rm{IR}}$ and find that previous methods show
considerable agreement over the full redshift range, except for the brightest
$S_{24}$ sources, where previous methods overpredict the bolometric IR
luminosity at high redshift, most likely due to their warmer dust SED. We
present a table that can be used as a more accurate and robust method for
estimating bolometric infrared luminosity from 24 $\mu$m flux densities.
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I was very disappointed when this show was canceled. Although i can not vote. I live on the island of Aruba. I sat down to see the show on tuesday. And was very surprised that it didn't aired. The next day i read on the internet that it was canceled.<br /><br />It's true not every one was as much talented as the other. But there were very talented people singing.<br /><br />I find it very sad for them.<br /><br />That they worked so hard and there dreams came tumbling down.<br /><br />Its a pity<br /><br />Ariette Croes
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In this work, we study the masses of $Qq\bar Q\bar q'$ states with
J^{PC}=0^{++}, 1^{++}, 1^{+-} and 2^{++} in the chiral SU(3) quark model, where
Q is the heavy quark (c or b) and q (q') is the light quark (u, d or s).
According to our numerical results, it is improbable to make the interpretation
of $[cn\bar c\bar n]_{1^{++}}$ and $[cn\bar c\bar n]_{2^{++}}$ (n=u, d) states
as X(3872) and Y(3940), respectively. However, it is interesting to find the
tetraquarks in the $bq\bar b\bar q'$ system.
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Intent detection and slot filling are two main tasks for building a spoken
language understanding (SLU) system. The two tasks are closely tied and the
slots often highly depend on the intent. In this paper, we propose a novel
framework for SLU to better incorporate the intent information, which further
guides the slot filling. In our framework, we adopt a joint model with
Stack-Propagation which can directly use the intent information as input for
slot filling, thus to capture the intent semantic knowledge. In addition, to
further alleviate the error propagation, we perform the token-level intent
detection for the Stack-Propagation framework. Experiments on two publicly
datasets show that our model achieves the state-of-the-art performance and
outperforms other previous methods by a large margin. Finally, we use the
Bidirectional Encoder Representation from Transformer (BERT) model in our
framework, which further boost our performance in SLU task.
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As a camera operator, I couldn't help but admire the great look that this picture achieved. The performances were excellent, as was the story. Just when I thought this film was about to slow down, it didn't. Heart-pounding tension, great pacing through editing, and a score that knows when to be quiet all come together here under competent and capable direction. The camera was always in the right place. Love that.
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In this paper we will discuss isometries and strong isometries for
convolutional codes. Isometries are weight-preserving module isomorphisms
whereas strong isometries are, in addition, degree-preserving. Special cases of
these maps are certain types of monomial transformations. We will show a form
of MacWilliams Equivalence Theorem, that is, each isometry between
convolutional codes is given by a monomial transformation. Examples show that
strong isometries cannot be characterized this way, but special attention paid
to the weight adjacency matrices allows for further descriptions. Various
distance parameters appearing in the literature on convolutional codes will be
discussed as well.
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In representation learning and non-linear dimension reduction, there is a
huge interest to learn the 'disentangled' latent variables, where each
sub-coordinate almost uniquely controls a facet of the observed data. While
many regularization approaches have been proposed on variational autoencoders,
heuristic tuning is required to balance between disentanglement and loss in
reconstruction accuracy -- due to the unsupervised nature, there is no
principled way to find an optimal weight for regularization. Motivated to
completely bypass regularization, we consider a projection strategy: modifying
the canonical Gaussian encoder, we add a layer of scaling and rotation to the
Gaussian mean, such that the marginal correlations among latent sub-coordinates
become exactly zero. This achieves a theoretically maximal disentanglement, as
guaranteed by zero cross-correlation between one latent sub-coordinate and the
observed varying with the rest. Unlike regularizations, the extra projection
layer does not impact the flexibility of the previous encoder layers, leading
to almost no loss in expressiveness. This approach is simple to implement in
practice. Our numerical experiments demonstrate very good performance, with no
tuning required.
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We investigate the effects of interatomic interactions and expansion on the
distortion of interference fringes of a pair of initially well-separated, but
coherent, condensate clouds trapped in a harmonic trap. The distortion of
interference fringes, which can lead to the spontaneous formation of vortices
in the atom clouds, depends crucially on two relevant parameters: the
center-of-mass velocity and peak density of the initial state. We identify
three qualitatively distinct regimes for the interfering condensates:
collision, expansion, and merging, by the spatial and temporal features of the
fringe spacings. Using a comprehensive set of numerical simulations based on
the Gross-Pitaevskii equation, we specify the cross-overs between these regimes
and propose the optimal the system parameters required for dynamical
instabilities and vortex creation.
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We show that the leading term in the strong-interaction limit of the
adiabatic connection that has as weak-interaction expansion the Moeller-Plesset
perturbation theory can be fully determined from a functional of the
Hartree-Fock density. We analyze this functional and highlight similarities and
differences with the strong-interaction limit of the density-fixed adiabatic
connection case of Kohn-Sham density functional theory.
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Driven non-equilibrium structural phase transformation has been probed using
time varying resistance fluctuations or noise. We demonstrate that the
non-Gaussian component (NGC) of noise obtained by evaluating the higher order
statistics of fluctuations, serves as a simple kinetic detector of these phase
transitions. Using the martensite transformation in free-standing wires of
nickel-titanium binary alloys as a prototype, we observe clear deviations from
the Gaussian background in the transformation zone, indicative of the long
range correlations in the system as the phase transforms. The viability of non-
Gaussian statistics as a robust probe to structural phase transition was also
confirmed by comparing the results from differential scanning calorimetry
measurements. We further studied the response of the NGC to the modifications
in the microstructure on repeated thermal cycling, as well as the variations in
the temperature drive rate, and explained the results using established
simplistic models based on the different competing time scales. Our experiments
(i) suggest an alternative method to estimate the transformation temperature
scales with high accuracy, and (ii) establish a connection between the
material-specific evolution of microstructure to the statistics of its linear
response. Since the method depends on an in-built long-range correlation during
transformation, it could be portable to other structural transitions, as well
as to materials of different physical origin and size.
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We propose a new parametrization of the four-point vertex function in the
one-loop one-particle irreducible renormalization group (RG) scheme for
fermions. It is based on a decomposition of the effective two-fermion
interaction into fermion bilinears that interact via exchange bosons. The
numerical computation of the RG flow of the boson propagators reproduces the
leading weak coupling instabilities of the two-dimensional Hubbard model at Van
Hove filling, as they were previously obtained by a temperature RG flow.
Instead of regularizing with temperature, we here use a soft frequency
$\Omega$-regularization that likewise does not artificially suppress
ferromagnetism. Besides being more efficient than previous N-patch schemes,
this parametrization also reduces the ambiguities in introducing boson fields.
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The possibility that leptons, quarks or both might be highly relativistic
bound states of a spin-0 and spin-1/2 constituent bound by minimal
electrodynamics is discussed. Typically, strongly bound solutions of the
Bethe-Salpeter equation exist only when the coupling constant is on the order
of or greater than unity. For the bound-state system discussed here, there
exist two classes of boundary conditions that could yield strongly bound
solutions with coupling constants on the order of the electromagnetic fine
structure constant. In both classes the bound state must have spin one half,
thus providing a possible explanation for the absence of higher-spin leptons
and quarks.
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Renewed interest in dynamic simulation models of biomolecular systems has arisen from advances in genome-wide measurement and applications of such models in biotechnology and synthetic biology. In particular, genome-scale models of cellular metabolism beyond the steady state are required in order to represent transient and dynamic regulatory properties of the system. Development of such whole-cell models requires new modelling approaches. Here we propose the energy-based bond graph methodology, which integrates stoichiometric models with thermo-dynamic principles and kinetic modelling. We demonstrate how the bond graph approach intrinsically enforces thermodynamic constraints, provides a modular approach to modelling, and gives a basis for estimation of model parameters leading to dynamic models of biomolecular systems. The approach is illustrated using a well-established stoichiometric model of Escherichia coli (E. coli) and published experimental data.
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We consider the possibility to explain the recent $R_K$ and $R_{K ^*}$
anomalies in a 2-Higgs Doublet Model, known as Aligned, combined with a low
scale seesaw mechanism generating light neutrino masses and mixings. In this
class of models, a large Yukawa coupling allows for significant non-universal
leptonic contributions, through box diagrams mediated by charged Higgs bosons
and right-handed neutrinos, to the $b \to s \ell^+ \ell^-$ transition that can
then account for both $R_K$ and $R_{K^*}$ anomalies.
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HST NICMOS narrowband images of the shocked molecular hydrogen emission in
OMC-1 are analyzed to reveal new information on the BN/KL outflow. The
outstanding morphological feature of this region is the array of molecular
hydrogen ``fingers'' emanating from the general vicinity of IRc2 and the
presence of several Herbig-Haro objects. The NICMOS images appear to resolve
individual shock fronts. This work is a more quantitative and detailed analysis
of our data from a previous paper (Schultz etal. 1999).
Line strengths for the H_2 1--0 S(4) plus 2--1 S(6) lines at 1.89 micron are
estimated from measurements with the Paschen_alpha continuum filter F190N at
1.90 micron, and continuum measurements at 1.66 and 2.15 micron. We compare the
observed H_2 line strengths and ratios of the 1.89 micron and 2.12 micron 1--0
S(1) lines with models for molecular cloud shock waves. Most of the data cannot
be fit by J-shocks, but are well matched by C-shocks with shock velocities in
the range of 20--45 km/s and preshock densities of 10^{4} - 10^{6} cm^{-3},
similiar to values obtained in larger beam studies which averaged over many
shocks. There is also some evidence that shocks with higher densities have
lower velocities.
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Now, now Wente, mustn't let facts get in the way of the hyperbolic screams of the Chicken Little sets, mostly dominated by the lefty loons these days.
1 billion humans pulled from poverty in the past 2 decades.
Unheard of wealth and health for more humans that at any other time in history.
Problems? Sure, but nothing a little common sense, or is it uncommon sense, here and there won't fix.
And a little disruption every now and then, even when led by a neo-orangutan in a red tie, is not necessarily a bad thing. Especially when most of the disruption will be to nations and ideologies that have been running roughshod over the west for decades.
And to all, a good night.
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The quality of this is fair at best. It is chipped and there are cracked pieces ...
Not at all worth the price they are charging. I can say I got what I paid for. The quality of this is fair at best. It is chipped and there are cracked pieces of wood.
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We present a system for learning motion of independently moving objects from
stereo videos. The only human annotation used in our system are 2D object
bounding boxes which introduce the notion of objects to our system. Unlike
prior learning based work which has focused on predicting dense pixel-wise
optical flow field and/or a depth map for each image, we propose to predict
object instance specific 3D scene flow maps and instance masks from which we
are able to derive the motion direction and speed for each object instance. Our
network takes the 3D geometry of the problem into account which allows it to
correlate the input images. We present experiments evaluating the accuracy of
our 3D flow vectors, as well as depth maps and projected 2D optical flow where
our jointly learned system outperforms earlier approaches trained for each task
independently.
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Earlier this month, FDA experts voted—barely—that the agency should approve AstraZeneca and Merck’s Lynparza in pancreatic cancer. But that small majority was enough to convince regulators to follow suit.
The FDA greenlighted the drug Friday as a maintenance treatment for patients with germline BRCA-mutated disease who've already received a round of platinum-based chemo. The approval followed a priority review designation, awarded over the summer, and an orphan drug designation.
With the approval, AZ and Merck add a third disease area to the drug’s resume, which already includes indications in ovarian and breast cancers. And, for the third time, Lynparza is the first of its class of PARP inhibitors—which includes entrants from GlaxoSmithKline and Clovis Oncology—to break into a cancer type.
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RELATED: AZ, Merck's Lynparza fends off pancreatic cancer, cutting progression risk in half
Regulators based the go-ahead on data from the phase 3 Polo trial, presented at this year’s American Society of Clinical Oncology meeting, which demonstrated Lynparza could slash the risk of disease worsening or death by 47%.
The results are “very exciting” considering “we are now able to offer a chemo-free option in maintenance to patients who for over a decade haven’t had any meaningful improvement,” Dave Fredrickson, executive vice president and global head of AstraZeneca’s oncology business unit, said at the time.
But FDA staffers weren’t so sure. They brought Lynparza’s case before an expert advisory committee, citing concerns about the Polo study’s size and the limitations of imaging technology to accurately measure tumor size.
Ultimately, those experts voted 7-5 in favor of approval, though, with the lack of other treatment options giving the drug a boost. While pancreatic cancer is rare, it’s also particularly deadly, bearing the lowest survival rate of the most common cancers. It’s also the only major cancer with a single-digit five-year survival rate in nearly every country, according to AstraZeneca.
RELATED: AZ, Merck's Lynparza narrowly snags FDA panel backing in pancreatic cancer
While the vote was a narrow one, the corresponding approval didn’t surprise SVB Leerink analyst Andrew Berens and his colleagues, who, following the committee meeting, called an FDA nod “more likely than not.” And while they model a small sales boost from the latest OK—just $155 million in the U.S. and $50 million in the EU—they also “believe this favorable AdCom and potential approval could create a 'halo effect' for Lynparza, perhaps making the drug the PARP inhibitor of choice for the majority of medical oncologists," they wrote at the time.
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When I played the first Soul Calibur on dreamcast I thought it was great. When I played the second I was hooked. And finally when Soul Calibur III was released, I bought a playstation 2 and the game.<br /><br />This can really keep you up for hours, with a huge amount of characters, loads of unlockable content, and not to mention a GREAT fighting system, this really is the greatest fighting game to date. <br /><br />The games strong points is foremost the vs. gameplay, were two human players battle each other, either playing as one of the main characters or as a created and customized character. The Create character option is vast, and allows the player to make thousands of different combinations.<br /><br />The only thing that bothers me is that if you create a character that uses the fighting style "Grieve Edge" (only kicks) has to wear those ridiculous shoes. ^^<br /><br />This is absolutely the greatest fighting game one could wish for. Now, I'm just hoping the planned movie won't be crap.
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Au contraire. Burke and Pell are the ones who are being unfair, still, and urgently need to check back in with reality. The Catholic church is long past the Thirteenth Century, as well as the 1950s. They have chosen to remain men of mediaeval privilege instead of preachers and teachers of the Word, in union with Jesus and Pope Francis, whose Vicar he is. If they truly feel that the Catholic church is a "ship without a rudder," as Burke has publicly stated, and propose to CORRECT Francis' Amoris Laetitia, they shoulf resign, immediately. Such an act would not be unprecedented, even in the twentieth century of the Christian era.
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We present a detailed spectral and temporal study of the intermediate-type
blazar ON 231 during the TeV outburst phase in 2008 June with observations
performed by Swift and XMM-Newton. The X-ray flux of the source, which was
significantly dominated by the soft photons (below $3-4$ keV), varies between
27$\%$ and 38$\%$ on day timescales, while mild variations were observed in the
optical/UV emissions. We found a maximum soft lag of $\sim 1$ hr between the UV
and soft X-ray bands, which can be understood if the magnetic field of the
emitting region is $\sim 5.6~ \delta^{-1/3}$ G. The $0.6-10$ keV spectra can be
well represented by a broken power-law model, which indicates the presence of
both synchrotron and inverse Compton components in the studied X-ray regime.
The synchrotron part of the SEDs constructed with simultaneous optical/UV and
X-ray data follows a log-parabolic shape. A time-resolved spectral analysis
shows that the break energy varies significantly between 2.4 and 7.3 keV with
the changing flux state of the source, and the similar variations of the
spectral slopes of the two components support the SSC scenario. The synchrotron
tail, following a log-parabolic function, shows that the peak frequency
($\nu_{p}$) varies by two orders of magnitude ($\sim 10^{14}-10^{16}$ Hz)
during the event. A significantly positive $E_{p}-\beta$ relation is observed
from both SED and time-resolved spectral analyses. The most feasible scenario
for the observed trend during the flaring event could be associated with a
magnetic-field-driven stochastic process evolving toward an equilibrium energy
level.
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Easy to use, and doesn't slip
Needed a quick option for sharpening my knives, and this seems to work pretty well. Has a handle to hold while you run your knives through, so it isn't hard to do or anything like that. For the price, it does the job just fine. I'm sure you could find better more expensive options, but for what I paid this works more than enough for me.
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Braneworld models with variable brane tension $\lambda $ introduce a new
degree of freedom that allows for evolving gravitational and cosmological
constants, the latter being a natural candidate for dark energy. We consider a
thermodynamic interpretation of the varying brane tension models, by showing
that the field equations with variable $\lambda $ can be interpreted as
describing matter creation in a cosmological framework. The particle creation
rate is determined by the variation rate of the brane tension, as well as by
the brane-bulk energy-matter transfer rate. We investigate the effect of a
variable brane tension on the cosmological evolution of the Universe, in the
framework of a particular model in which the brane tension is an exponentially
dependent function of the scale factor. The resulting cosmology shows the
presence of an initial inflationary expansion, followed by a decelerating
phase, and by a smooth transition towards a late accelerated de Sitter type
expansion. The varying brane tension is also responsible for the generation of
the matter in the Universe (reheating period). The physical constraints on the
model parameters, resulted from the observational cosmological data, are also
investigated.
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We report the discovery of intense, highly directional radio emission from
the Bp star HD 35298, which we interpret as the consequence of Electron
Cyclotron Maser Emission (ECME). The star was observed with the Giant Metrewave
Radio Telescope near the rotational phases of both magnetic nulls in band 4
(550-750 MHz) and one of the nulls in band 5 (1060-1460 MHz). In band 4, we
observed flux density enhancement in both circular polarizations near both
magnetic nulls. The sequences of arrival of the left and right circularly
polarized pulses are opposite near the two nulls. In band 5, we did not have
circular polarization information and hence measured only the total intensity
lightcurve, which also shows enhancement around the magnetic null. The observed
sequence of the circular polarization signs in band 4, compared with the
longitudinal magnetic field curve, is able to locate the hemisphere from which
ECME arises. This observational evidence supports the scenario of ECME in the
ordinary mode, arising in a magnetosphere shaped like an oblique dipole. HD
35298 is the most slowly rotating and most distant main sequence magnetic star
from which ECME has been observed.
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In the paper {\em The inversion formulae for automorphisms of polynomial
algebras and differential operators in prime characteristic}, J. Pure Appl.
Algebra 212 (2008), no. 10, 2320-2337, see also arXiv:math/0604477, Vladimir
Bavula states the following Conjecture: (BC) Any endomorphism of a Weyl algebra
(in a finite characteristic case) is a monomorphism. The purpose of this
preprint is to prove BC for $A_1$, show that BC is wrong for $A_n$ when $n >
1$, and prove an analogue of $BC$ for symplectic Poisson algebras.
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Although the isotope effect in superconducting materials is well-documented,
changes in the magnetic properties of antiferromagnets due to isotopic
substitution are seldom discussed and remain poorly understood. This is perhaps
surprising given the possible link between the quasi-two-dimensional (Q2D)
antiferromagnetic and superconducting phases of the layered cuprates. Here we
report the experimental observation of shifts in the N\'{e}el temperature and
critical magnetic fields ($\Delta T_{\rm N}/T_{\rm N}\approx 4%$; $\Delta
B_{\rm c}/B_{\rm c}\approx 4%$) in a Q2D organic molecular antiferromagnets on
substitution of hydrogen for deuterium. These compounds are characterized by
strong hydrogen bonds through which the dominant superexchange is mediated. We
evaluate how the in-plane and inter-plane exchange energies evolve as the
hydrogens on different ligands are substituted, and suggest a possible
mechanism for this effect in terms of the relative exchange efficiency of
hydrogen and deuterium bonds.
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It is well known that Shannon's rate-distortion function (RDF) in the colored
quadratic Gaussian (QG) case can be parametrized via a single Lagrangian
variable (the "water level" in the reverse water filling solution). In this
work, we show that the symmetric colored QG multiple-description (MD) RDF in
the case of two descriptions can be parametrized in the spectral domain via two
Lagrangian variables, which control the trade-off between the side distortion,
the central distortion, and the coding rate. This spectral-domain analysis is
complemented by a time-domain scheme-design approach: we show that the
symmetric colored QG MD RDF can be achieved by combining ideas of delta-sigma
modulation and differential pulse-code modulation. Specifically, two source
prediction loops, one for each description, are embedded within a common noise
shaping loop, whose parameters are explicitly found from the spectral-domain
characterization.
|
We compute the full O(alpha_s) SUSY-QCD corrections to dark matter
annihilation in the Higgs-funnel, resumming potentially large mu tan beta and
A_b contributions and keeping all finite O(m_b,s,1/tan^2 beta) terms. We
demonstrate numerically that these corrections strongly influence the
extraction of SUSY mass parameters from cosmological data and must therefore be
included in common analysis tools such as DarkSUSY or micrOMEGAs.
|
What is the difference between PC and Liberal? Seriously, what are the differences?
A good 35% of Canada identifies as small-c conservative. Short of an ideology-based genocide that you seem to advocate, they won't go away. You think all young people support mass immigration and SJW nonsense?
"Remember this, the more right wing elements are disproportionately over 65 while the more moderate elements tend to be under 30." - This is pure conjecture with zero evidence.
|
We study an online linear programming (OLP) problem under a random input
model in which the columns of the constraint matrix along with the
corresponding coefficients in the objective function are generated i.i.d. from
an unknown distribution and revealed sequentially over time. Virtually all
pre-existing online algorithms were based on learning the dual optimal
solutions/prices of the linear programs (LP), and their analyses were focused
on the aggregate objective value and solving the packing LP where all
coefficients in the constraint matrix and objective are nonnegative. However,
two major open questions were: (i) Does the set of LP optimal dual prices
learned in the pre-existing algorithms converge to those of the "offline" LP,
and (ii) Could the results be extended to general LP problems where the
coefficients can be either positive or negative. We resolve these two questions
by establishing convergence results for the dual prices under moderate
regularity conditions for general LP problems. Specifically, we identify an
equivalent form of the dual problem which relates the dual LP with a sample
average approximation to a stochastic program. Furthermore, we propose a new
type of OLP algorithm, Action-History-Dependent Learning Algorithm, which
improves the previous algorithm performances by taking into account the past
input data as well as decisions/actions already made. We derive an $O(\log n
\log \log n)$ regret bound (under a locally strong convexity and smoothness
condition) for the proposed algorithm, against the $O(\sqrt{n})$ bound for
typical dual-price learning algorithms, where $n$ is the number of decision
variables. Numerical experiments demonstrate the effectiveness of the proposed
algorithm and the action-history-dependent design.
|
The Earth's surface is composed of a staggering diversity of
particulate-fluid mixtures: dry to wet, dilute to dense, colloidal to granular,
and attractive to repulsive particles. This material variety is matched by the
range of relevant stresses and strain rates, from laminar to turbulent flows,
and steady to intermittent forcing, leading to anything from rapid and
catastrophic landslides to the slow relaxation of soil and rocks over geologic
timescales. Geophysical flows sculpt landscapes, but also threaten human lives
and infrastructure. From a physics point of view, virtually all Earth and
planetary landscapes are composed of soft matter, in the sense they are both
deformable and sensitive to collective effects. Geophysical materials, however,
often involve compositions and flow geometries that have not yet been examined
in physics. In this review we explore how a soft-matter perspective has helped
to illuminate, and even predict, the rich dynamics of Earth materials and their
associated landscapes. We also highlight some novel phenomena of geophysical
flows that challenge, and will hopefully inspire, more fundamental work in soft
matter.
|
Groups of firms often achieve a competitive advantage through the formation
of geo-industrial clusters. Although many exemplary clusters, such as Hollywood
or Silicon Valley, have been frequently studied, systematic approaches to
identify and analyze the hierarchical structure of the geo-industrial clusters
at the global scale are rare. In this work, we use LinkedIn's employment
histories of more than 500 million users over 25 years to construct a labor
flow network of over 4 million firms across the world and apply a recursive
network community detection algorithm to reveal the hierarchical structure of
geo-industrial clusters. We show that the resulting geo-industrial clusters
exhibit a stronger association between the influx of educated-workers and
financial performance, compared to existing aggregation units. Furthermore, our
additional analysis of the skill sets of educated-workers supplements the
relationship between the labor flow of educated-workers and productivity
growth. We argue that geo-industrial clusters defined by labor flow provide
better insights into the growth and the decline of the economy than other
common economic units.
|
Two fast L1 time-stepping methods, including the backward Euler and
stabilized semi-implicit schemes, are suggested for the time-fractional
Allen-Cahn equation with Caputo's derivative. The time mesh is refined near the
initial time to resolve the intrinsically initial singularity of solution, and
unequal time-steps are always incorporated into our approaches so that an
adaptive time-stepping strategy can be used in long-time simulations. It is
shown that the proposed schemes using the fast L1 formula preserve the discrete
maximum principle. Sharp error estimates reflecting the time regularity of
solution are established by applying the discrete fractional Gr\"{o}nwall
inequality and global consistency analysis. Numerical experiments are presented
to show the effectiveness of our methods and to confirm our analysis.
|
Recurrent Neural Networks (RNNs) are among the most popular models in
sequential data analysis. Yet, in the foundational PAC learning language, what
concept class can it learn? Moreover, how can the same recurrent unit
simultaneously learn functions from different input tokens to different output
tokens, without affecting each other? Existing generalization bounds for RNN
scale exponentially with the input length, significantly limiting their
practical implications.
In this paper, we show using the vanilla stochastic gradient descent (SGD),
RNN can actually learn some notable concept class efficiently, meaning that
both time and sample complexity scale polynomially in the input length (or
almost polynomially, depending on the concept). This concept class at least
includes functions where each output token is generated from inputs of earlier
tokens using a smooth two-layer neural network.
|
We determine the simple currents and fixed points of the orbifold theory
$CFT\otimes CFT/\mathbb{Z}_2$, given the simple currents and fixed point of the
original $CFT$. We see in detail how this works for the $SU(2)_k$ WZW model,
focusing on the field content (i.e. $h$-spectrum of the primary fields) of the
theory. We also look at the fixed point resolution of the simple current
extended orbifold theory and determine the $S^J$ matrices associated to each
simple current for $SU(2)_2$ and for the $B(n)_1$ and $D(n)_1$ series.
|
We address two issues in the thermodynamic model for nuclear disassembly.
Surprisingly large differences in results for specific heat were seen in
predictions from the canonical and grand canonical ensembles when the nuclear
system passes from liquid-gas co-existence to the pure gas phase. We are able
to pinpoint and understand the reasons for such and other discrepancies when
they appear. There is a subtle but important difference in the physics
addressed in the two models. In particular if we reformulate the parameters in
the canonical model to better approximate the physics addressed in the grand
canonical model, calculations for observables converge. Next we turn to the
issue of bimodality in the probability distribution of the largest fragment in
both canonical and grand canonical ensembles. We demonstrate that this
distribution is very closely related to average multiplicities. The
relationship of the bimodal distribution to phase transition is discussed.
|
"Atoll K" aka "Utopia" is one of Hollywood's saddest swan songs. Filmed in France, "The Land That Loves Lewis (Jerry)" in 1950 and released the following year after a five-year layoff, the boys are in truly terrible shape physically. However, they aren't in nearly as bad a shape as the script.<br /><br />This movie is one of the un-funniest "comedies" ever filmed.<br /><br />It's painful to see this legendary team, the funniest duo in the history of motion pictures, the twosome that made "The Devil's Brother" (1933), "The Music Box," (1932),"Pack Up Your Troubles" (also 1932), "Babes In Toyland" (1934), "Bonnie Scotland" (1935), "Flying Deuces" (1939) and so many more gut-wrenching, laugh-til-you-choke classic comedies, in a film such as this.<br /><br />But fighters and ballplayers do it all the time. They stay in the game one season or one fight too many. In this case, while is morbidly fascinating to see Laurel & Hardy at this late stage in their legendary careers, they, too, stuck around for one too many.
|
We study the superlinear oscillator equation $\ddot{x}+ \lvert x
\rvert^{\alpha-1}x = p(t)$ for $\alpha\geq 3$, where $p$ is a quasi-periodic
forcing with no Diophantine condition on the frequencies and show that
typically the set of initial values leading to solutions $x$ such that
$\lim_{t\to\infty} (\lvert x(t) \rvert + \lvert \dot{x}(t) \rvert) = \infty$
has Lebesgue measure zero, provided the starting energy $\lvert x(t_0) \rvert +
\lvert \dot{x}(t_0) \rvert$ is sufficiently large.
|
Still waiting to see results
Just have really started and into about a week or so. So, don't have any results to report. Ease of dispensing, sublingual, hardly any taste to speak of, so that's a plus according to some who say CBD oils taste "weird", this one does not. Thanks!
|
It is curious, the way both the article and the Census report, the way they talk about younger and older women.
Both sources notice that more young adult women are living alone than in years past, and both notice elderly women are less likely to be living alone than in years past.
Fair enough.
But then both sources claim what is driving the trend with younger women is that they are entering the workforce and earning their own way independently more so than in past years.
In places like Vancouver and Richmond and South Surrey it is a more complicated dynamic at play, and it has to do with a third item in the above sources: That Chinese languages are the MOST commonly spoken, after English, out West.
In the Vancouver region it is common for homes, including condos, to be gifted to children of rich folks with overseas income sources. And in Chinese culture it is common to have grandmother live with kids. So the dynamics are complex, not so easy to simplify as having just one cause.
|
We prove a version of the well-known Denjoy-Ahlfors theorem about the number
of asymptotic values of an entire function for properly immersed minimal
surfaces of arbitrary codimension in R^N. The finiteness of the number of ends
is proved for minimal submanifolds with finite projective volume. We show, as a
corollary, that a minimal surface of codimensionn meeting any n-plane passing
through the origin in at most k points has no more c(n,N)k ends.
|
I caught this movie on IFC and I enjoyed it, although I felt like the editing job was a little rough, though it may have been deliberate. I had a little bit of a hard time figuring out what was going on at first because they seemed to be going for a little bit of a Pulp Fiction-style non-linear plot presentation. It seemed a little forced, though. I certainly think that the movie is worth watching, but I think it could have used a little cleaning up. Some scenes just don't seem to make sense after others. <br /><br />I'm surprised to see the rating here as low as it is. It's not outstanding, but it doesn't have any really serious problems. I gave it a 7/10. The movie did show at least that Laurence Fishburne can act when he wants to. They must have just told him not to in the Matrix movies.
|
Roughly speaking a solitary wave is a solution of a field equation whose
energy travels as a localized packet and which preserves this localization in
time. A solitary wave which has a non-vanishing angular momentum is called
vortex.
We know (at least) three mechanisms which might produce solitary waves and
vortices:
1) Complete integrability, (e.g. Kortewg-de Vries equation)
2) Topological constraints, (e.g. Sine-Gordon equation);
3) Ratio energy/charge: (e.g. the nonlinear Klein-Gordon equation).
The third type of solitary waves or solitons will be called hylomorphic. This
class includes the Q-balls which are spherically symmetric solutions of the
nonlinear Klein-Gordon equation (NKG) as well as solitary waves and vortices
which occur, by the same mechanism, in the nonlinear Schroedinger equation and
in gauge theories.
This paper is devoted to an abstract theorem which allows to prove the
existence of hylomorphic solitary waves, solitons and vortices in the (NKG) and
in the nonlinear Klein-Gordon-Maxwell equations (NKGM)
|
Three days and already cracked
I've had this protector on for three days and it's already cracked along the edge. It also only has adhesive on the edges and the protector itself makes the screen seem gray. It shows every fingerprint and is difficult to clean. It's definitely worth it to pay a little more and get a better product.
|
A proper understanding of the striking generalization abilities of deep
neural networks presents an enduring puzzle. Recently, there has been a growing
body of numerically-grounded theoretical work that has contributed important
insights to the theory of learning in deep neural nets. There has also been a
recent interest in extending these analyses to understanding how multitask
learning can further improve the generalization capacity of deep neural nets.
These studies deal almost exclusively with regression tasks which are amenable
to existing analytical techniques. We develop an analytic theory of the
nonlinear dynamics of generalization of deep neural networks trained to solve
classification tasks using softmax outputs and cross-entropy loss, addressing
both single task and multitask settings. We do so by adapting techniques from
the statistical physics of disordered systems, accounting for both finite size
datasets and correlated outputs induced by the training dynamics. We discuss
the validity of our theoretical results in comparison to a comprehensive suite
of numerical experiments. Our analysis provides theoretical support for the
intuition that the performance of multitask learning is determined by the
noisiness of the tasks and how well their input features align with each other.
Highly related, clean tasks benefit each other, whereas unrelated, clean tasks
can be detrimental to individual task performance.
|
If light scalar fields are present at the end of inflation, their
non-equilibrium dynamics such as parametric resonance or a phase transition can
produce non-Gaussian density perturbations. We show how these perturbations can
be calculated using non-linear lattice field theory simulations and the
separate universe approximation. In the massless preheating model, we find that
some parameter values are excluded while others lead to acceptable but
observable levels of non-Gaussianity. This shows that preheating can be an
important factor in assessing the viability of inflationary models.
|
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