WASHINGTON — Latinos and immigrants are at least twice as likely to lack health insurance coverage as the overall population in three central Kansas City metro counties, a new Migration Policy Institute (MPI) study reveals. In fact, they are four times as likely to be uninsured in Johnson County, Kansas. 

WASHINGTON – As more than 33 million U.S. workers have lost their jobs since March amid the pandemic-induced economic crisis, immigrants are among the most vulnerable: They are more likely than the U.S. born to be laid off and to live in communities with high COVID-19 infection rates, and less likely to have health insurance coverage and access to a doctor or other usual source of health care.

Latinos and immigrants are at least twice as likely to lack health insurance coverage as the overall population in the Kansas City metropolitan area. This gap that has significant implications for the region, as Latinos and immigrants will form an ever-growing share of the area’s labor force and tax base amid anticipated declines in the native-born, non-Latino population.

As millions of U.S. workers lose jobs and the health insurance associated with them, Medicaid and similar programs are increasingly important for people seeking COVID-19 testing and treatment. Yet many low-income uninsured noncitizens, including green-card holders, are excluded from such programs because of their immigration status, as this fact sheet explores.

Rabbi Lord Jonathan Sacks offers thoughts on how we can navigate the coronavirus pandemic with courage, hope and empathy. With wisdom and clarity, he speaks on leadership, fear, death, hope and how we could use this moment to build a more just world. Watch for a special, impromptu prayer about halfway through the conversation. (This virtual conversation is part of the TED Connects series, hosted by head of TED Chris Anderson and head of curation Helen Walters. Recorded March 30, 2020)

Self-actualization (Psychology)

Chernobyl Nuclear Accident, Chornobylʹ, Ukraine, 1986.

Internet -- Social aspects.

Minter, Adam, 1970- -- Travel.

A Paris : Germer-Bailliere ; A Londres : J.-B. Bailliere, 1835.

Berlin : Hirschwald, 1875.

Leipzig : F.C.W. Vogel, 1889.

Leipzig : G. Thieme, 1892.

Wurzburg : Stahel, 1867.

Wien : A. Holder, 1890.

Jena : G. Fischer, 1902.

Budapest : Franklin-Verein, 1895.

Berlin : R. Schoetz, 1911.

Berlin : F. Kortkampf, 1877.

Breslau : W. Koebner, 1888.

Glasgow : J. Maclehose, 1881.

Gottingen : A. Rente, 1866.

Toulon : chez l'auteur, 1812.

On the day Kobe Bryant suddenly passed away, the Beavers embraced their rivals at midcourt in a moment of strength to support the Ducks, many of whom had personal connections to Bryant and his daughter, Gigi. For this, Oregon State is the 2020 recipient of the Pac-12 Sportsmanship Award.

We present SmartExchange, an algorithm-hardware co-design framework to trade higher-cost memory storage/access for lower-cost computation, for energy-efficient inference of deep neural networks (DNNs). We develop a novel algorithm to enforce a specially favorable DNN weight structure, where each layerwise weight matrix can be stored as the product of a small basis matrix and a large sparse coefficient matrix whose non-zero elements are all power-of-2. To our best knowledge, this algorithm is the first formulation that integrates three mainstream model compression ideas: sparsification or pruning, decomposition, and quantization, into one unified framework. The resulting sparse and readily-quantized DNN thus enjoys greatly reduced energy consumption in data movement as well as weight storage. On top of that, we further design a dedicated accelerator to fully utilize the SmartExchange-enforced weights to improve both energy efficiency and latency performance. Extensive experiments show that 1) on the algorithm level, SmartExchange outperforms state-of-the-art compression techniques, including merely sparsification or pruning, decomposition, and quantization, in various ablation studies based on nine DNN models and four datasets; and 2) on the hardware level, the proposed SmartExchange based accelerator can improve the energy efficiency by up to 6.7$ imes$ and the speedup by up to 19.2$ imes$ over four state-of-the-art DNN accelerators, when benchmarked on seven DNN models (including four standard DNNs, two compact DNN models, and one segmentation model) and three datasets.

Eric D. Kolaczyk, Lizhen Lin, Steven Rosenberg, Jackson Walters, Jie Xu.

Source: The Annals of Statistics, Volume 48, Number 1, 514--538.

Abstract:
It is becoming increasingly common to see large collections of network data objects, that is, data sets in which a network is viewed as a fundamental unit of observation. As a result, there is a pressing need to develop network-based analogues of even many of the most basic tools already standard for scalar and vector data. In this paper, our focus is on averages of unlabeled, undirected networks with edge weights. Specifically, we (i) characterize a certain notion of the space of all such networks, (ii) describe key topological and geometric properties of this space relevant to doing probability and statistics thereupon, and (iii) use these properties to establish the asymptotic behavior of a generalized notion of an empirical mean under sampling from a distribution supported on this space. Our results rely on a combination of tools from geometry, probability theory and statistical shape analysis. In particular, the lack of vertex labeling necessitates working with a quotient space modding out permutations of labels. This results in a nontrivial geometry for the space of unlabeled networks, which in turn is found to have important implications on the types of probabilistic and statistical results that may be obtained and the techniques needed to obtain them.

Keisuke Yano, Kengo Kato.

Source: Bernoulli, Volume 26, Number 1, 616--641.

Abstract:
In this paper, we study frequentist coverage errors of Bayesian credible sets for an approximately linear regression model with (moderately) high dimensional regressors, where the dimension of the regressors may increase with but is smaller than the sample size. Specifically, we consider quasi-Bayesian inference on the slope vector under the quasi-likelihood with Gaussian error distribution. Under this setup, we derive finite sample bounds on frequentist coverage errors of Bayesian credible rectangles. Derivation of those bounds builds on a novel Berry–Esseen type bound on quasi-posterior distributions and recent results on high-dimensional CLT on hyperrectangles. We use this general result to quantify coverage errors of Castillo–Nickl and $L^{infty}$-credible bands for Gaussian white noise models, linear inverse problems, and (possibly non-Gaussian) nonparametric regression models. In particular, we show that Bayesian credible bands for those nonparametric models have coverage errors decaying polynomially fast in the sample size, implying advantages of Bayesian credible bands over confidence bands based on extreme value theory.

Benjamin E. Reese
Mar 2, 2005; 25:2167-2175
BehavioralSystemsCognitive

French translation of press release - the Basel Committee on Banking Supervision is finalising stress-testing principles, reviews ways to stop regulatory arbitrage behaviour, agrees on annual G-SIB list, discusses leverage ratio, crypto-assets, market risk framework and implementation, 20 September 2018.

It's been more than a week since there were any new or active cases of COVID-19 in the catchment area for the Northwestern Health Unit (NWHU), and staff can not focus increasing testing.

A longstanding battle between an Alberta entrepreneur and a $50-million lottery winner is still raging after a new legal judgment, a securities investigation, allegations of harassment and even duelling ebooks.

Below is an interview with Elizabeth Lindqwister, the summer 2019 Liljenquist Family Fellow, and Prints & Photographs Division staff members, Karen Chittenden and Micah Messenheimer, about creating a Story Map focusing on the Civil War experience of Susie King Taylor. Many courageous people are pulling double and triple duty in this time of quarantine for […]

With this year's worlds cancelled because of the COVID-19 pandemic, Rob Pizzo looks at the last time the event didn't happen.

As part of the province's approach to curbing the COVID-19 pandemic, there are a number of rules in place that people have to follow. Kitchener and Waterloo bylaw officials offer some insight on what's allowed and what's not.

Colleen Jones, Sidney Crosby among many preeminent local sports figures reacting in the aftermath of Sunday's killing rampage.

After listening to the Gospel a self-proclaimed atheist encouraged Christians to go tell others this Good News.

After a week of heavy rains in Central America, the area is left in tragedy. OM Guatemala is desperate to help.

A 20-year-old man, who suffered from addictions and domestic violence, accepted Christ into his life during the OM Mexico July outreach in Huatulco, Oaxaca.

To present the true meaning of Christmas, OM Ireland’s creative arts team performs a multimedia production in schools, churches and community centres around Ireland.

Brandy and her daughter Alexia (USA) went to Ireland for a two-week outreach and left impacted just as much as they'd impacted others.