Roy Lester, who sandwiched a disappointing three-year stint as Maryland's football coach between a highly successful career at the high school level, has died. Lester's daughter, Amy Lester Greco, said on a Facebook post that her father died Sunday in Rockville, Maryland, due to complications from the new coronavirus. Lester made a name for himself in Maryland during a 10-year run at Richard Montgomery High School in Rockville during which the Rockets went unbeaten six times and had an 86-10-1 record.

Institute of Ophthalmology., producer.

London-Sydney Marathon -- History.

Adelaide Festival -- History.

1963.

Leipzig : F.C.W. Vogel, 1888.

Leipzig : F.C.W. Vogel, 1894.

Berlin : Heuser, 1890-1892.

Wiesbaden : Bergmann, 1905.

Stuttgart : J.G. Cotta, 1870.

Berlin : J. Springer, 1897.

Stuttgart : F. Enke, 1887.

Braunschweig : F. Vieweg, 1889.

Wien : A. Holder, 1892.

Jena : G. Fischer, 1896.

Erfurt : Keyser, 1803.

Berlin : Urban & Schwarzenberg, 1908.

Leipzig : W. Engelmann, 1898.

Leipzig : Toeplitz & Deuticke, 1888.

England : National Association for Maternal and Child Welfare, 1961.

Stuttgart : In Kommission: Wissenschaftliche Verlagsgesellschaft mbH, 2019.

Rockville, Maryland : National Institute on Drug Abuse, 1978.

Cooperation between different data owners may lead to an improvement in forecast quality - for instance by benefiting from spatial-temporal dependencies in geographically distributed time series. Due to business competitive factors and personal data protection questions, said data owners might be unwilling to share their data, which increases the interest in collaborative privacy-preserving forecasting. This paper analyses the state-of-the-art and unveils several shortcomings of existing methods in guaranteeing data privacy when employing Vector Autoregressive (VAR) models. The paper also provides mathematical proofs and numerical analysis to evaluate existing privacy-preserving methods, dividing them into three groups: data transformation, secure multi-party computations, and decomposition methods. The analysis shows that state-of-the-art techniques have limitations in preserving data privacy, such as a trade-off between privacy and forecasting accuracy, while the original data in iterative model fitting processes, in which intermediate results are shared, can be inferred after some iterations.

Attribution methods provide insights into the decision-making of machine learning models like artificial neural networks. For a given input sample, they assign a relevance score to each individual input variable, such as the pixels of an image. In this work we adapt the information bottleneck concept for attribution. By adding noise to intermediate feature maps we restrict the flow of information and can quantify (in bits) how much information image regions provide. We compare our method against ten baselines using three different metrics on VGG-16 and ResNet-50, and find that our methods outperform all baselines in five out of six settings. The method's information-theoretic foundation provides an absolute frame of reference for attribution values (bits) and a guarantee that regions scored close to zero are not necessary for the network's decision. For reviews: https://openreview.net/forum?id=S1xWh1rYwB For code: https://github.com/BioroboticsLab/IBA

We introduce an optimized physics-informed neural network (PINN) trained to solve the problem of identifying and characterizing a surface breaking crack in a metal plate. PINNs are neural networks that can combine data and physics in the learning process by adding the residuals of a system of Partial Differential Equations to the loss function. Our PINN is supervised with realistic ultrasonic surface acoustic wave data acquired at a frequency of 5 MHz. The ultrasonic surface wave data is represented as a surface deformation on the top surface of a metal plate, measured by using the method of laser vibrometry. The PINN is physically informed by the acoustic wave equation and its convergence is sped up using adaptive activation functions. The adaptive activation function uses a scalable hyperparameter in the activation function, which is optimized to achieve best performance of the network as it changes dynamically the topology of the loss function involved in the optimization process. The usage of adaptive activation function significantly improves the convergence, notably observed in the current study. We use PINNs to estimate the speed of sound of the metal plate, which we do with an error of 1\%, and then, by allowing the speed of sound to be space dependent, we identify and characterize the crack as the positions where the speed of sound has decreased. Our study also shows the effect of sub-sampling of the data on the sensitivity of sound speed estimates. More broadly, the resulting model shows a promising deep neural network model for ill-posed inverse problems.

In this paper, we propose a new procedure to build a structural-factor model for a vector unit-root time series. For a $p$-dimensional unit-root process, we assume that each component consists of a set of common factors, which may be unit-root non-stationary, and a set of stationary components, which contain the cointegrations among the unit-root processes. To further reduce the dimensionality, we also postulate that the stationary part of the series is a nonsingular linear transformation of certain common factors and idiosyncratic white noise components as in Gao and Tsay (2019a, b). The estimation of linear loading spaces of the unit-root factors and the stationary components is achieved by an eigenanalysis of some nonnegative definite matrix, and the separation between the stationary factors and the white noises is based on an eigenanalysis and a projected principal component analysis. Asymptotic properties of the proposed method are established for both fixed $p$ and diverging $p$ as the sample size $n$ tends to infinity. Both simulated and real examples are used to demonstrate the performance of the proposed method in finite samples.

Larry R. Squire
Oct 14, 2009; 29:12711-12716
40th Anniversary Retrospective

The exact molecule behind the Minamata mercury disaster, caused by a chemical plant’s wastewater, remains a point of disagreement

Angry historians say the stretch of concrete was one of the largest remaining sections of the inner wall

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

PLEASE CLICK ON LINK TO VIEW PDF OF SER-8596:

Lorraine Wilson

Are you smarter than a teacher in 1966? Take this real test, taken from the "Equality of Educational Opportunity" report, to find out how you fare.

Various studies have documented marked racial/ethnic disparities in children’s receipt of dental services at single time points or brief periods.

This study reveals significant improvements in children’s receipt of dental care overall, as well as a dramatic narrowing of African American/white disparities in children’s receipt of dental services over the last 40 years in the United States. (Read the full article)

Shoo K. Lee
Nov 1, 2000; 106:1070-1079
ARTICLES

मीपणाच्या अहंभावाने देहबुद्धीच वाढते

The civil rights movement, the Vietnam War, the space program and rock ‘n’ roll will be among the 1960s-era events explored during the 2019 Chautauqua tent shows.

The Acquired Territories Act, 1960