23 April 2020

What President Trump calls a border crisis is in fact a crisis in the asylum system—one worsened at every turn by his administration’s harsh policies and rhetoric. Rather than spend $5.7 billion on a wall, it would be far more effective to use the money to retool an overwhelmed asylum system, adapt outmatched border enforcement infrastructure to respond to the changing composition of arrivals, and work cooperatively with Mexico to tackle the factors propelling Central Americans to flee.

Closing the U.S.-Mexico border and cutting off aid to Central America would only feed the crisis unfolding at key points along the U.S.-Mexico border. This commentary outlines a range of immediate and long-term policy responses that would more effectively address the complex mix of factors fueling rising Central American migration to the United States.

Amid surging migration from Central America, the United States and Mexico in June 2019 agreed to a series of enforcement measures. Yet these near-term efforts will be difficult to maintain given chronic institutional weaknesses and poorly thought-out policy structures in both countries. This commentary, by the presidents of MPI and El Colegio de México, offers a set of long-term, collaborative solutions to dissuade illegal migration while ensuring fairness to those seeking protection.

Given recent school cancellations and state orders to shelter in place, some households may be experiencing the strain of sharing family computers. ADA Member Advantage states that members are eligible for savings of up to 46% on select items from their endorsed technology provider, Lenovo, during a special sale on computers.

Here’s my Q&A column from the WSJ this week — and if you have any questions for me, you can tweet them to @danariely with the hashtag #askariely, post a comment on my Ask Ariely Facebook page, or email them to AskAriely@wsj.com. ___________________________________________________ Dear Dan, My partner and I are students,...

One of the major challenges Canada faced during its extraordinary push to resettle 25,000 Syrian refugees during a four-month period was to find housing for these newcomers. This report explores how the government, resettlement case workers, and private citizens tackled this challenge—balancing cost and location, access to services, and more—and how lessons learned can improve refugee housing practices for other countries going forward.

Examining the facts and figures of the coronavirus outbreak, epidemiologist Larry Brilliant evaluates the global response in a candid interview with head of TED Chris Anderson. Brilliant lays out a clear plan to end the pandemic -- and shows why, to achieve it, we'll have to work together across political and geographical divides. "This is not the zombie apocalypse; this is not a mass extinction event," he says. "We need to be the best version of ourselves." (Recorded April 22, 2020)

Hypertension -- Diet therapy -- Recipes.

The Mississippi education department will be the first to operate a teacher residency program, which aims to increase retention and diversity in the profession.

Dual first-order methods are essential techniques for large-scale constrained convex optimization. However, when recovering the primal solutions, we need $T(epsilon^{-2})$ iterations to achieve an $epsilon$-optimal primal solution when we apply an algorithm to the non-strongly convex dual problem with $T(epsilon^{-1})$ iterations to achieve an $epsilon$-optimal dual solution, where $T(x)$ can be $x$ or $sqrt{x}$. In this paper, we prove that the iteration complexity of the primal solutions and dual solutions have the same $Oleft(frac{1}{sqrt{epsilon}} ight)$ order of magnitude for the accelerated randomized dual coordinate ascent. When the dual function further satisfies the quadratic functional growth condition, by restarting the algorithm at any period, we establish the linear iteration complexity for both the primal solutions and dual solutions even if the condition number is unknown. When applied to the regularized empirical risk minimization problem, we prove the iteration complexity of $Oleft(nlog n+sqrt{frac{n}{epsilon}} ight)$ in both primal space and dual space, where $n$ is the number of samples. Our result takes out the $left(log frac{1}{epsilon} ight)$ factor compared with the methods based on smoothing/regularization or Catalyst reduction. As far as we know, this is the first time that the optimal $Oleft(sqrt{frac{n}{epsilon}} ight)$ iteration complexity in the primal space is established for the dual coordinate ascent based stochastic algorithms. We also establish the accelerated linear complexity for some problems with nonsmooth loss, e.g., the least absolute deviation and SVM.

David A. C. Mollinedo.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 1, 188--201.

Abstract:
We consider the stochastic transport equation with a possibly unbounded Hölder continuous vector field. Well-posedness is proved, namely, we show existence, uniqueness and strong stability of $W^{1,p}$-weak solutions.

Christian Olivera, Ciprian Tudor.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 3, 520--531.

Abstract:
Via a special transform and by using the techniques of the Malliavin calculus, we analyze the density of the solution to a stochastic differential equation with unbounded drift.

We focus on estimating emph{a priori} generalization error of two-layer ReLU neural networks (NNs) trained by mean squared error, which only depends on initial parameters and the target function, through the following research line. We first estimate emph{a priori} generalization error of finite-width two-layer ReLU NN with constraint of minimal norm solution, which is proved by cite{zhang2019type} to be an equivalent solution of a linearized (w.r.t. parameter) finite-width two-layer NN. As the width goes to infinity, the linearized NN converges to the NN in Neural Tangent Kernel (NTK) regime citep{jacot2018neural}. Thus, we can derive the emph{a priori} generalization error of two-layer ReLU NN in NTK regime. The distance between NN in a NTK regime and a finite-width NN with gradient training is estimated by cite{arora2019exact}. Based on the results in cite{arora2019exact}, our work proves an emph{a priori} generalization error bound of two-layer ReLU NNs. This estimate uses the intrinsic implicit bias of the minimum norm solution without requiring extra regularity in the loss function. This emph{a priori} estimate also implies that NN does not suffer from curse of dimensionality, and a small generalization error can be achieved without requiring exponentially large number of neurons. In addition the research line proposed in this paper can also be used to study other properties of the finite-width network, such as the posterior generalization error.

Hock Peng Chan.

Source: The Annals of Statistics, Volume 48, Number 1, 346--373.

Abstract:
Lai and Robbins ( Adv. in Appl. Math. 6 (1985) 4–22) and Lai ( Ann. Statist. 15 (1987) 1091–1114) provided efficient parametric solutions to the multi-armed bandit problem, showing that arm allocation via upper confidence bounds (UCB) achieves minimum regret. These bounds are constructed from the Kullback–Leibler information of the reward distributions, estimated from specified parametric families. In recent years, there has been renewed interest in the multi-armed bandit problem due to new applications in machine learning algorithms and data analytics. Nonparametric arm allocation procedures like $epsilon $-greedy, Boltzmann exploration and BESA were studied, and modified versions of the UCB procedure were also analyzed under nonparametric settings. However, unlike UCB these nonparametric procedures are not efficient under general parametric settings. In this paper, we propose efficient nonparametric procedures.

Seth Flaxman, Michael Chirico, Pau Pereira, Charles Loeffler.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2564--2585.

Abstract:
We propose a generic spatiotemporal event forecasting method which we developed for the National Institute of Justice’s (NIJ) Real-Time Crime Forecasting Challenge (National Institute of Justice (2017)). Our method is a spatiotemporal forecasting model combining scalable randomized Reproducing Kernel Hilbert Space (RKHS) methods for approximating Gaussian processes with autoregressive smoothing kernels in a regularized supervised learning framework. While the smoothing kernels capture the two main approaches in current use in the field of crime forecasting, kernel density estimation (KDE) and self-exciting point process (SEPP) models, the RKHS component of the model can be understood as an approximation to the popular log-Gaussian Cox Process model. For inference, we discretize the spatiotemporal point pattern and learn a log-intensity function using the Poisson likelihood and highly efficient gradient-based optimization methods. Model hyperparameters including quality of RKHS approximation, spatial and temporal kernel lengthscales, number of autoregressive lags and bandwidths for smoothing kernels as well as cell shape, size and rotation, were learned using cross validation. Resulting predictions significantly exceeded baseline KDE estimates and SEPP models for sparse events.

Pasha Tkachov.

Source: Bernoulli, Volume 26, Number 2, 1354--1380.

Abstract:
The aim of this paper is to prove stability of traveling waves for integro-differential equations connected with branching Markov processes. In other words, the limiting law of the left-most particle of a (time-continuous) branching Markov process with a Lévy non-branching part is demonstrated. The key idea is to approximate the branching Markov process by a branching random walk and apply the result of Aïdékon [ Ann. Probab. 41 (2013) 1362–1426] on the limiting law of the latter one.

Saint Paul schools are in the market for a vendor to provide background checks, while the Education Technology Joint Powers Authority is seeking media repositories. A Texas district wants quotes on technology for new campuses.

The post Calif. Ed-Tech Consortium Seeks Media Repository Solutions; Saint Paul District Needs Background Check Services appeared first on Market Brief.

Thomas Staudt, Timo Aspelmeier, Oskar Laitenberger, Claudia Geisler, Alexander Egner, Axel Munk.

Source: Statistical Science, Volume 35, Number 1, 92--111.

Abstract:
Super-resolution microscopy is rapidly gaining importance as an analytical tool in the life sciences. A compelling feature is the ability to label biological units of interest with fluorescent markers in (living) cells and to observe them with considerably higher resolution than conventional microscopy permits. The images obtained this way, however, lack an absolute intensity scale in terms of numbers of fluorophores observed. In this article, we discuss state of the art methods to count such fluorophores and statistical challenges that come along with it. In particular, we suggest a modeling scheme for time series generated by single-marker-switching (SMS) microscopy that makes it possible to quantify the number of markers in a statistically meaningful manner from the raw data. To this end, we model the entire process of photon generation in the fluorophore, their passage through the microscope, detection and photoelectron amplification in the camera, and extraction of time series from the microscopic images. At the heart of these modeling steps is a careful description of the fluorophore dynamics by a novel hidden Markov model that operates on two timescales (HTMM). Besides the fluorophore number, information about the kinetic transition rates of the fluorophore’s internal states is also inferred during estimation. We comment on computational issues that arise when applying our model to simulated or measured fluorescence traces and illustrate our methodology on simulated data.

Human ventral temporal cortex (VTC) is critical for visual recognition. It is thought that this ability is supported by large-scale patterns of activity across VTC that contain information about visual categories. However, it is unknown how category representations in VTC are organized at the submillimeter scale and across cortical depths. To fill this gap in knowledge, we measured BOLD responses in medial and lateral VTC to images spanning 10 categories from five domains (written characters, bodies, faces, places, and objects) at an ultra-high spatial resolution of 0.8 mm using 7 Tesla fMRI in both male and female participants. Representations in lateral VTC were organized most strongly at the general level of domains (e.g., places), whereas medial VTC was also organized at the level of specific categories (e.g., corridors and houses within the domain of places). In both lateral and medial VTC, domain-level and category-level structure decreased with cortical depth, and downsampling our data to standard resolution (2.4 mm) did not reverse differences in representations between lateral and medial VTC. The functional diversity of representations across VTC partitions may allow downstream regions to read out information in a flexible manner according to task demands. These results bridge an important gap between electrophysiological recordings in single neurons at the micron scale in nonhuman primates and standard-resolution fMRI in humans by elucidating distributed responses at the submillimeter scale with ultra-high-resolution fMRI in humans.

SIGNIFICANCE STATEMENT Visual recognition is a fundamental ability supported by human ventral temporal cortex (VTC). However, the nature of fine-scale, submillimeter distributed representations in VTC is unknown. Using ultra-high-resolution fMRI of human VTC, we found differential distributed visual representations across lateral and medial VTC. Domain representations (e.g., faces, bodies, places, characters) were most salient in lateral VTC, whereas category representations (e.g., corridors/houses within the domain of places) were equally salient in medial VTC. These results bridge an important gap between electrophysiological recordings in single neurons at a micron scale and fMRI measurements at a millimeter scale.

The United Nations launched the 2014 International Year of Family Farming to stress the vast potential family farmers have to eradicate hunger and preserve natural resources. In both developed and developing countries, more than 500 million, or nine out of ten, farms are managed by families, making family farms the predominant form of agriculture. They not only produce about 80% [...]

More with less. This is the challenge and the mantra for our future. There will be many more of us in the years to come. We will go from a population of 7.6 billion today to 9.8 billion in 2050; yet, with our current rate of usage, there will be less fresh water, less arable soil, less available land for [...]

All over the world, holidays mean the return of certain specialties: Olivier salad for New Year’s in Russia, Red bean porridge for solstice in Korea, Haleem for Ramadan in India and the Middle East, Mince pies for Christmas in England, Pogača bread for Orthodox Easter, Banana cakes for Lunar New Year in Vietnam. Whatever the holiday is and wherever in [...]

FAO will attend the fourth Annual Strategic Consultation with the Government of Japan on Tuesday 21 January 2020, in Tokyo, Japan. The objective is to review the progress of [...]

Press release "Saudi G20 Presidency and the Bank for International Settlements (BIS) Innovation Hub invite global innovators to solve RegTech and SupTech challenges", 27 April 2020

Jason Janes didn't want a BBQ brush bristle stuck in his throat, so he came up with his own homegrown scraper that has led to a business on the verge of booming.

The post 3DEXPERIENCE – A New Year’s Resolution for Education appeared first on SOLIDWORKS Education Blog.

Structure System Solidworks The term structural system or structural frame in structural engineering refers to the load-resisting sub-system of a building or object that transfers loads through interconnected elements or members. In SOLIDWORKS 2020, the structure system feature is an advanced

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For mothers of children with chronic medical conditions or disabilities, such as epilepsy or cerebral palsy, a history of maternal unresolved grief regarding the child's diagnosis has been associated with insecure infant-mother attachment.

Unresolved grief related to a preterm birth is associated with the development of insecure infantmother attachment. Mothers with resolved grief after preterm birth are 2.9 times as likely to have securely attached infants, compared with mothers with unresolved grief. (Read the full article)

Children are often evaluated in the emergency department after a concussion. Although prolonged symptoms are associated with higher initial symptom severity when measured 2 to 3 weeks after injury, a similar association with acute symptom severity has not been demonstrated.

Higher acute symptom severity is not associated with development of persistent post-concussion symptoms 1 month after injury, but persistent post-concussive symptoms affect a significant number of children after concussion. Outpatient follow-up is essential to identify children who develop persistent symptoms. (Read the full article)

THE SPFL were tonight criticised for giving Scotland’s clubs hope that league reconstruction was a possibility in their controversial end-of-season resolution.

Penn State’s Sexual Assault Forensic Examination Telehealth (SAFE-T) Center is continuing to provide support to sexual-assault nurse examiners in local hospitals across the commonwealth through their innovative telehealth solution, which allows nurse examiners to partner with local-site nurses during live exams.

Gibraltar becomes UEFA’s 54th member association

There are a wide range and selection of Infrastructure-as-a-Service (IaaS) solutions that are a key component to IT strategies. We test the top five IaaS solutions to help find the best fit for your business.

Managing identity across an ever-widening array of software services and other network boundaries has become one of the most challenging aspects of the IT profession.. We test 10 end-to-end identity management solutions that can help.

The NEC Display Solutions NP-ME401W is a highly capable LCD-based data projector, with high brightness, very good data and video image quality, and a solid set of connection choices.

Fraudulent companies include shells owned by Manafort, Gates, and Cohen; others used to undermine democratic processes and launder drug money Attorney General Kathy Jennings announced Thursday that the she has filed actions in the state Court of Chancery to dissolve 15 Delaware business entities for involvement in criminal activities. State law allows the Attorney General […]

Accreditation is the highest recognition afforded to museums in the United States.

A milkman has come up with a unique way to ensure that the milk he delivers is contact-free and also forces customers to maintain the necessary distance.