Children's Geographies; 08/01/2024
(AN 178911406); ISSN: 14733285
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NEW CASTLE (Oct. 26, 2022) – The Delaware Division of Social Services will issue emergency benefits for October to eligible households as part of the State’s ongoing response to the COVID-19 public health emergency. Benefits will be issued as part of the Supplemental Nutrition Assistance Program (SNAP) and two cash assistance programs – Temporary Assistance […]

NEW CASTLE (Dec. 21, 2022) – The Delaware Division of Social Services will issue emergency benefits for December to eligible households as part of the State’s ongoing response to the COVID-19 public health emergency.   Benefits will be issued as part of the Supplemental Nutrition Assistance Program (SNAP) and two cash assistance programs – Temporary Assistance […]

[s.l.] : Mohr Siebeck GmbH & Co. KG, 2023.

Toronto : University of Toronto Press, [2023]

Manchester : Manchester University Press, [2018]

The Malheur model for fire-caused delayed mortality is presented as an easily interpreted graph (mortality-probability calculator) as part of a one-page field guide that allows the user to determine postfire probability of mortality for ponderosa pine (Pinus ponderosa Dougl. ex Laws.).

The main aim of this paper is to detect dynamical properties of the Gy"orgyi-Field model of the Belousov-Zhabotinsky chemical reaction. The corresponding three-variable model given as a set of nonlinear ordinary differential equations depends on one parameter, the flow rate. As certain values of this parameter can give rise to chaos, the analysis was performed in order to identify different dynamics regimes. Dynamical properties were qualified and quantified using classical and also new techniques. Namely, phase portraits, bifurcation diagrams, the Fourier spectra analysis, the 0-1 test for chaos, and approximate entropy. The correlation between approximate entropy and the 0-1 test for chaos was observed and described in detail. Moreover, the three-stage system of nested subintervals of flow rates, for which in every level the 0-1 test for chaos and approximate entropy was computed, is showing the same pattern. The study leads to an open problem whether the set of flow rate parameters has Cantor like structure.

• Youtube as neuroscience resource hub « BRAINETHICS
  via Mo Costandi

• Behavioral, Social, Computer Sciences Seminar Series
  webcast archive at CaLit
• The Scientist Video Awards: 2009
• Traumatic Brain Injury Videos and Multimedia
  via @brainline

• An Inside Look at Mental Health
• Shift Stigma: Videos

• Golf Confidence Video Series by Mental Game Expert Dr. Patrick Cohn

• Sponsored: 64% off Code Black Drone with HD Camera
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• Sponsored: 64% off Code Black Drone with HD Camera
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Berlin : T.C.F. Enslin, 1866.

Halle : Buchhandlung des Waisenhauses, 1865.

Area under ROC curve (AUC) is a widely used performance measure for classification models. We propose two new distributionally robust AUC maximization models (DR-AUC) that rely on the Kantorovich metric and approximate the AUC with the hinge loss function. We consider the two cases with respectively fixed and variable support for the worst-case distribution. We use duality theory to reformulate the DR-AUC models and derive tractable convex optimization problems. The numerical experiments show that the proposed DR-AUC models -- benchmarked with the standard deterministic AUC and the support vector machine models - perform better in general and in particular improve the worst-case out-of-sample performance over the majority of the considered datasets, thereby showing their robustness. The results are particularly encouraging since our numerical experiments are conducted with training sets of small size which have been known to be conducive to low out-of-sample performance.

We study the problem of parameter estimation for a non-ergodic Gaussian Vasicek-type model defined as $dX_t=(mu+ heta X_t)dt+dG_t, tgeq0$ with unknown parameters $ heta>0$ and $muinR$, where $G$ is a Gaussian process. We provide least square-type estimators $widetilde{ heta}_T$ and $widetilde{mu}_T$ respectively for the drift parameters $ heta$ and $mu$ based on continuous-time observations ${X_t, tin[0,T]}$ as $T ightarrowinfty$.

Our aim is to derive some sufficient conditions on the driving Gaussian process $G$ in order to ensure that $widetilde{ heta}_T$ and $widetilde{mu}_T$ are strongly consistent, the limit distribution of $widetilde{ heta}_T$ is a Cauchy-type distribution and $widetilde{mu}_T$ is asymptotically normal. We apply our result to fractional Vasicek, subfractional Vasicek and bifractional Vasicek processes. In addition, this work extends the result of cite{EEO} studied in the case where $mu=0$.

The $p$-tensor Curie-Weiss model is a two-parameter discrete exponential family for modeling dependent binary data, where the sufficient statistic has a linear term and a term with degree $p geq 2$. This is a special case of the tensor Ising model and the natural generalization of the matrix Curie-Weiss model, which provides a convenient mathematical abstraction for capturing, not just pairwise, but higher-order dependencies. In this paper we provide a complete description of the limiting properties of the maximum likelihood (ML) estimates of the natural parameters, given a single sample from the $p$-tensor Curie-Weiss model, for $p geq 3$, complementing the well-known results in the matrix ($p=2$) case (Comets and Gidas (1991)). Our results unearth various new phase transitions and surprising limit theorems, such as the existence of a 'critical' curve in the parameter space, where the limiting distribution of the ML estimates is a mixture with both continuous and discrete components. The number of mixture components is either two or three, depending on, among other things, the sign of one of the parameters and the parity of $p$. Another interesting revelation is the existence of certain 'special' points in the parameter space where the ML estimates exhibit a superefficiency phenomenon, converging to a non-Gaussian limiting distribution at rate $N^{frac{3}{4}}$. We discuss how these results can be used to construct confidence intervals for the model parameters and, as a byproduct of our analysis, obtain limit theorems for the sample mean, which provide key insights into the statistical properties of the model.

Background

Optimal concentrations of unbound antimicrobials are essential for maximum microbiological effect. Although hypoalbuminemia and albumin fluid resuscitation are common in critical care, the effects of different albumin concentrations on the unbound concentrations of highly protein-bound antimicrobials are not known. The aim of this study was to compare effects of different albumin states on total and unbound concentrations of ertapenem and ceftriaxone using an ovine model.

Methods

Design

Prospective, three phase intervention observational study.

Subjects

Healthy Merino sheep.

Interventions

Eight sheep were subject to three experimental phases; normoalbuminemia, hypoalbuminemia using plasmapheresis and albumin replacement using a 25% albumin solution. In each phase, ceftriaxone 40 mg/kg and ertapenem 15 mg/kg were given intravenously. Blood samples were collected at pre-defined intervals and analyzed using an ultra-high-performance liquid chromatography tandem mass spectrometry method. Pharmacokinetic parameters such as area under the curve (AUC_0-24), plasma clearance (CL) and apparent volume of distribution in the terminal phase (V_d) were estimated and compared between the phases.

Results

The protein and albumin concentrations were significantly different between phases. Hypoalbuminemia resulted in a significantly lower AUC_0-24 and higher CL of total and unbound concentrations of ceftriaxone compared to the other phases. Whereas albumin replacement led to higher AUC_0-24 and lower CL compared to other phases for both drugs. The V_d for total drug concentrations for both drugs were significantly lower with albumin replacement.

Conclusions

For highly protein-bound drugs such as ceftriaxone and ertapenem, both hypoalbuminemia and albumin replacement may affect unbound drug exposure.

Play features Dr. Who, the time traveler, who brings William Penn back to Dover.

Sept. 2, 2017 event moved from outdoors on the Dover Green to indoors at The Old State House.

Activities feature two special programs that explore 18th-century trades and pastimes that might have taken place at the property during the lifetime of the “Penman of the Revolution.”

“Who Did In the Delaware Ducks?” and “Mysteries of History” to be featured

Theatrical murder-mystery based on an actual incident that took place in 1916 in Lewes.

Event provides visitors with an opportunity to experience seafaring lives of adventure, romance, excitement and hardships, and to honor mariners who made the ultimate sacrifice.

Traditionally held in June, Delaware’s 2018 Chautauqua will take place in September.

Exhibit explores the history of rail travel and transport in the First State.

Program to include a re-enactment of the July 11, 1804 duel between Alexander Hamilton and political rival Aaron Burr which resulted in Hamilton’s passing on July 12, 1804.

Theatrical murder-mystery based on an actual incident that took place in 1916 in Lewes.

Holmes and Dr. Watson attempt to solve a grisly murder based on an actual Dover court case.

Eleven Lenapé-themed programs to be presented at three downtown Dover locations.

Programs explore the importance of railroads to America’s economy and way of life, and their impact on Delaware.

Program cancelled due to Hurricane-Florence-related cancellations by panelists.

Event explores Colonial-era job opportunities at the home of the “Penman of the Revolution.”

Naval engagement played a decisive role in America's victory in its struggle for independence from Great Britain.

Lecture by Theo Braunskill, Lenapé citizen and Elders Council member, and Nena Todd, manager of the Delaware Division of Historical and Cultural Affairs’ downtown Dover museums.

Lead historic-site-interpreter Gavin Malone will portray a World War I veteran discussing the differences in American society between the 1910s and the early 1920s.

Program explores Washington’s 110 Rules of Civility and Decent Behavior and discusses how they were practiced by subsequent American presidents together with their relevance to contemporary American politics.

Daylong series of activities exploring the adventure, romance, excitement and hardships experienced by seafarers.

Sessions will explore disaster preparedness, issues regarding elevating historic properties in flood-prone areas and National Register nominations.

The vessel, New Jersey's official tall ship, is a restored oyster-dredging schooner.

Spotlighting the Lenapé Indian Tribe of Delaware, events will include music, drumming, dancing, crafts and lectures.

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.

Day-long series of activities explores occupations of the 1700s including preserving food in the smokehouse, dyeing cloth, carpentry, blacksmithing and making bricks out of clay.

Naval engagement played a decisive role in America's victory in its struggle for independence from Great Britain.

Vintage 1950s-era New Castle ice cream stand still dishing up soft serve.

Event will include scholarly presentations on the history and archaeology of the lower Delaware Valley including the Avery’s Rest and Fort Casimir archaeological sites.

Theme for the 2019 display is “Here We Go a Caroling.”