Pennsylvania’s approach and priority for educational technology can be summed up in the name of its major technology initiative: Getting to One. The state is working toward having technology fully integrated not only into classroom life, but also into the operation of schools and districts.

Several women told local newspapers that Pennsylvania state board chair Larry Wittig pursued sexual relationships with them when they were teenagers.

State of the States: Education highlights from latest governor's address before the legislature.

Distinguished educators are assigned by the state to help low-scoring districts in Pennsylvania. Part of Education Week's special annual report, Leading for Learning.

Six school systems, the Pennsylvania Association of Rural and Small Schools, and the NAACP Pennsylvania State Conference want to change the state's school-funding system, which allows for wide spending gaps between low- and high-income districts.

The lawsuit, filed in 2014, alleges that the state was severely underfunding schools, forcing school districts to lean heavily on property taxes, which especially disadvantages students in property-poor areas.

This Quality Counts 2019 Highlights Report captures all the data you need to assess your state's performance on key educational outcomes.

This Quality Counts 2020 Highlights Report captures all the data you need to assess your state's performance on key educational outcomes.

The NCAA is expected to formally approve rules changes that will allow athletes to get endorsement income in 2021.

Download the Pac-12 Now app to watch an epic, triple-overtime 2003 battle between USC and California this Saturday at 1:30 p.m. PT/ 2:30 p.m. MT. The game will be available to all fans.

Annotation. Spaghetti Cook Book.

Aboriginal Australians, Treatment of.

Wiesbaden : J.F. Bergmann, 1891.

Stuttgart : F. Enke, 1891.

London : Longmans, Green, 1903.

[Edinburgh] : [publisher not identified], 1870.

Detroit, Mich. : G.S. Davis, 1893.

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

This Quality Counts 2020 Highlights Report captures all the data you need to assess your state's performance on key educational outcomes.

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

The West Virginia Senate trimmed the proposed pay raise for teachers from 5 percent to 4 percent, prompting union officials to declare that the strike will continue indefinitely.

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.

Teachers across the state will walk out of their classrooms on Tuesday to protest an education bill going through the state legislature.

Lawmakers effectively killed the controversial education bill that had prompted the second statewide strike in two years.

The West Virginia House of Delegates passed its version of a sweeping education omnibus bill, which would allow the state's first charter schools.

While thousands of students in wildfire-ravaged Northern California resumed classes last week, thousands of others in Alaska stayed home after a 7.0 magnitude earthquake struck Nov. 30.

Recruiters already are offering bonuses, free housing, and airfare to entice teachers to their remote districts—and the competition is about to get worse.

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

Rockville, Maryland : National Institute on Drug Abuse, 1977.

Sophie Achard, Jean-François Coeurjolly

Source: Statist. Surv., Volume 4, 117--147.

Abstract:
This paper gives an overview of the problem of estimating the Hurst parameter of a fractional Brownian motion when the data are observed with outliers and/or with an additive noise by using methods based on discrete variations. We show that the classical estimation procedure based on the log-linearity of the variogram of dilated series is made more robust to outliers and/or an additive noise by considering sample quantiles and trimmed means of the squared series or differences of empirical variances. These different procedures are compared and discussed through a large simulation study and are implemented in the R package dvfBm.

An accurate and prompt diagnosis of pediatric pneumonia is imperative for successful treatment intervention. One approach to diagnose pneumonia cases is using radiographic data. In this article, we propose a novel parsimonious scalar-on-image classification model adopting the ideas of functional data analysis. Our main idea is to treat images as functional measurements and exploit underlying covariance structures to select basis functions; these bases are then used in approximating both image profiles and corresponding regression coefficient. We re-express the regression model into a standard generalized linear model where the functional principal component scores are treated as covariates. We apply the method to (1) classify pneumonia against healthy and viral against bacterial pneumonia patients, and (2) test the null effect about the association between images and responses. Extensive simulation studies show excellent numerical performance in terms of classification, hypothesis testing, and efficient computation.

Manifold optimization appears in a wide variety of computational problems in the applied sciences. In recent statistical methodologies such as sufficient dimension reduction and regression envelopes, estimation relies on the optimization of likelihood functions over spaces of matrices such as the Stiefel or Grassmann manifolds. Recently, Huang, Absil, Gallivan, and Hand (2016) have introduced the library ROPTLIB, which provides a framework and state of the art algorithms to optimize real-valued objective functions over commonly used matrix-valued Riemannian manifolds. This article presents ManifoldOptim, an R package that wraps the C++ library ROPTLIB. ManifoldOptim enables users to access functionality in ROPTLIB through R so that optimization problems can easily be constructed, solved, and integrated into larger R codes. Computationally intensive problems can be programmed with Rcpp and RcppArmadillo, and otherwise accessed through R. We illustrate the practical use of ManifoldOptim through several motivating examples involving dimension reduction and envelope methods in regression.

Ammunition Depot comments on Judge Roger T. Benitez ruling that Californians may again purchase ammo without a background check and order ammo online.

(PRWeb April 24, 2020)

Read the full story at https://www.prweb.com/releases/gun_rights_california_gun_owners_ammo_dealers_fire_back_against_proposition_63/prweb17075447.htm

Zhenhua Lin, Fang Yao.

Source: The Annals of Statistics, Volume 47, Number 6, 3533--3577.

Abstract:
In this work we develop a novel and foundational framework for analyzing general Riemannian functional data, in particular a new development of tensor Hilbert spaces along curves on a manifold. Such spaces enable us to derive Karhunen–Loève expansion for Riemannian random processes. This framework also features an approach to compare objects from different tensor Hilbert spaces, which paves the way for asymptotic analysis in Riemannian functional data analysis. Built upon intrinsic geometric concepts such as vector field, Levi-Civita connection and parallel transport on Riemannian manifolds, the developed framework applies to not only Euclidean submanifolds but also manifolds without a natural ambient space. As applications of this framework, we develop intrinsic Riemannian functional principal component analysis (iRFPCA) and intrinsic Riemannian functional linear regression (iRFLR) that are distinct from their traditional and ambient counterparts. We also provide estimation procedures for iRFPCA and iRFLR, and investigate their asymptotic properties within the intrinsic geometry. Numerical performance is illustrated by simulated and real examples.

Medha Uppala, Mark S. Handcock.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 339--356.

Abstract:
This paper focuses on spatial and temporal modeling of point processes on linear networks. Point processes on linear networks can simply be defined as point events occurring on or near line segment network structures embedded in a certain space. A separable modeling framework is introduced that posits separate formation and dissolution models of point processes on linear networks over time. While the model was inspired by spider web building activity in brick mortar lines, the focus is on modeling wildfire ignition origins near road networks over a span of 14 years. As most wildfires in California have human-related origins, modeling the origin locations with respect to the road network provides insight into how human, vehicular and structural densities affect ignition occurrence. Model results show that roads that traverse different types of regions such as residential, interface and wildland regions have higher ignition intensities compared to roads that only exist in each of the mentioned region types.

Jorge A. León.

Source: Bernoulli, Volume 26, Number 3, 2436--2462.

Abstract:
Let $B^{H}$ be a fractional Brownian motion with Hurst parameter $Hin (0,1/2)$ and $p:mathbb{R} ightarrow mathbb{R}$ a polynomial function. The main purpose of this paper is to introduce a Stratonovich type stochastic integral with respect to $B^{H}$, whose domain includes the process $p(B^{H})$. That is, an integral that allows us to integrate $p(B^{H})$ with respect to $B^{H}$, which does not happen with the symmetric integral given by Russo and Vallois ( Probab. Theory Related Fields 97 (1993) 403–421) in general. Towards this end, we combine the approaches utilized by León and Nualart ( Stochastic Process. Appl. 115 (2005) 481–492), and Russo and Vallois ( Probab. Theory Related Fields 97 (1993) 403–421), whose aims are to extend the domain of the divergence operator for Gaussian processes and to define some stochastic integrals, respectively. Then, we study the relation between this Stratonovich integral and the extension of the divergence operator (see León and Nualart ( Stochastic Process. Appl. 115 (2005) 481–492)), an Itô formula and the existence of a unique solution of some Stratonovich stochastic differential equations. These last results have been analyzed by Alòs, León and Nualart ( Taiwanese J. Math. 5 (2001) 609–632), where the Hurst paramert $H$ belongs to the interval $(1/4,1/2)$.

Anton Thalmaier, James Thompson.

Source: Bernoulli, Volume 26, Number 3, 2202--2225.

Abstract:
In this article, we derive moment estimates, exponential integrability, concentration inequalities and exit times estimates for canonical diffusions firstly on sub-Riemannian limits of Riemannian foliations and secondly in the nonsmooth setting of $operatorname{RCD}^{*}(K,N)$ spaces. In each case, the necessary ingredients are Itô’s formula and a comparison theorem for the Laplacian, for which we refer to the recent literature. As an application, we derive pointwise Carmona-type estimates on eigenfunctions of Schrödinger operators.

Ivan Nourdin, Giovanni Peccati, Stéphane Seuret.

Source: Bernoulli, Volume 26, Number 3, 1619--1634.

Abstract:
We describe the size of the sets of sojourn times $E_{gamma }={tgeq 0:|B_{t}|leq t^{gamma }}$ associated with a fractional Brownian motion $B$ in terms of various large scale dimensions.

Our Lady of Grace School (Glengowrie, S.A.)

Benjamin Meyer
Jul 3, 2019; 39:5326-5335
Systems/Circuits

Does your customer relationship management strategy have what it takes to reach Generation Y? It's estimated that by 2021, an additional $394 billion in revenue could be gained from artificial intelligence adoption in CRM activities in the U.S. As companies grow and technology evolves at a faster-than-ever pace, collecting, storing and providing data is becoming a bigger and bigger task.