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Idaho became the first state in the country to prohibit transgender girls from participating in girls' school sports after Gov. Brad Little, a Republican, signed the "Fairness in Women's Sports Act" into law Tuesday.

Many are whipsawed by shutdown recommendations aimed at stemming the coronavirus, and the logistical and financial consequences of those actions.

Several states that are heavily dependent on oil revenue had to face the choice of raising taxes, closing tax loop holes or making major cuts to state agencies in order to fill major budget deficits.

Michael Martirano led the state's schools through dramatic budget cuts, academic challenges, and a state-versus-local battle over school construction.

Governors in several natural resource-dependent states said recently they will have to continue to cut public education funding because prices for oil and coal have not rebounded.

Teachers will receive a 5 percent raise, pending a vote by the state legislature. School will resume Thursday.

The statewide teacher strike could end today if both chambers of the legislature pass the bill to deliver a 5 percent raise to all school employees.

State lawmakers have made it illegal for school districts to spend any public money on the Mississippi Association of School Superintendents, saying district leaders personally attacked state officials while they were seeking votes for a school funding initiative last year.

A group of high school students from Anchorage spent spring break at a remote Native Village as part of an unusual cultural exchange program in Alaska. See what they learned.

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London (6 Seymour Place, Euston Square) : Charles Heath ; [London] (Poultry) : Robert Jennings, May 15 1827 ([London] : Printed by McQueen)

[Paris] : Calcographie du Louvre, Musées Imperiaux, [1849?]

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Brian Whiston since 2015 has led the state's education department while it put together its plan under the Every Student Succeeds Act and took control of the state's school takeover district.

A growing number of schools are re-evaluating their policies on religious holidays in response to the changing demographics of their students.

Nathel Burtley, 79, was a lifelong educator who led the Flint, Mich., school system, paving the way for other African-American educators to become the heads of districts. He died earlier this month from the coronavirus.

David Schuler, the superintendent of Township High School District 214 in Arlington Heights, Ill., has been named 2018 National Superintendent of the Year.

Only so money hockey options on that odd beast of a machine.

The Washington Capitals have placed former Winterhawks wing Brendan Leipsic on unconditional waivers with the intention of his contract being terminated after private messages revealed misogynistic comments. > The Washington Capitals have placed Brendan Leipsic on unconditional waivers for purposes of terminating his contract.https://t.co/UnADibu2yQ

Controversy over an intiative aimed a reducing inequities in Lee's Summit, Mo., schools led the police department to provide security protection for the district's first African-American superintendent. Now the school board has reversed course.

Berlin : Peter Lang [2019]

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Hear how former Oregon State guard and current member of the WNBA's LA Sparks Sydney Wiese is recovering from a COVID-19 diagnosis, seeing friends and family show support and love during a trying time.

After sweeping every national player of the year award, Sabrina Ionescu is off to the WNBA level where her skills will make an instant impact — not just to her new team but the league as a whole. She averaged 17.5 points, 8.6 rebounds and 9.1 assists for the Ducks in 2019-20, rewriting her own NCAA career triple-double record and becoming the first in college basketball history with at least 2,000 points, 1,000 rebounds and 1,000 assists.

Ery Arias-Castro, Rong Huang, Nicolas Verzelen.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 702--730.

Abstract:
In a bivariate setting, we consider the problem of detecting a sparse contamination or mixture component, where the effect manifests itself as a positive dependence between the variables, which are otherwise independent in the main component. We first look at this problem in the context of a normal mixture model. In essence, the situation reduces to a univariate setting where the effect is a decrease in variance. In particular, a higher criticism test based on the pairwise differences is shown to achieve the detection boundary defined by the (oracle) likelihood ratio test. We then turn to a Gaussian copula model where the marginal distributions are unknown. Standard invariance considerations lead us to consider rank tests. In fact, a higher criticism test based on the pairwise rank differences achieves the detection boundary in the normal mixture model, although not in the very sparse regime. We do not know of any rank test that has any power in that regime.

In many applications, observed data are influenced by some combination of latent causes. For example, suppose sensors are placed inside a building to record responses such as temperature, humidity, power consumption and noise levels. These random, observed responses are typically affected by many unobserved, latent factors (or features) within the building such as the number of individuals, the turning on and off of electrical devices, power surges, etc. These latent factors are usually present for a contiguous period of time before disappearing; further, multiple factors could be present at a time. This paper develops new probabilistic methodology and inference methods for random object generation influenced by latent features exhibiting temporal persistence. Every datum is associated with subsets of a potentially infinite number of hidden, persistent features that account for temporal dynamics in an observation. The ensuing class of dynamic models constructed by adapting the Indian Buffet Process — a probability measure on the space of random, unbounded binary matrices — finds use in a variety of applications arising in operations, signal processing, biomedicine, marketing, image analysis, etc. Illustrations using synthetic and real data are provided.

We propose graph-dependent implicit regularisation strategies for synchronised distributed stochastic subgradient descent (Distributed SGD) for convex problems in multi-agent learning. Under the standard assumptions of convexity, Lipschitz continuity, and smoothness, we establish statistical learning rates that retain, up to logarithmic terms, single-machine serial statistical guarantees through implicit regularisation (step size tuning and early stopping) with appropriate dependence on the graph topology. Our approach avoids the need for explicit regularisation in decentralised learning problems, such as adding constraints to the empirical risk minimisation rule. Particularly for distributed methods, the use of implicit regularisation allows the algorithm to remain simple, without projections or dual methods. To prove our results, we establish graph-independent generalisation bounds for Distributed SGD that match the single-machine serial SGD setting (using algorithmic stability), and we establish graph-dependent optimisation bounds that are of independent interest. We present numerical experiments to show that the qualitative nature of the upper bounds we derive can be representative of real behaviours.