One hundred years ago, Pennsylvanian surgeon Evan Kane penned a brief letter to JAMA in which he declared himself a rigorous proponent of the “benefic [sic] effects of the phonograph within the operating room.” Now David Bosenquet, a surgeon from University Hospital of Wales in Cardiff has written a Christmas editorial about the evidence for the...

Waiting times in theatre can be a source of friction – but is the delay due to mandatory anaesthetic faff around time (MAFAT), or AWOL surgeons? Elizabeth Travis, and orthopaedic house officer in New Zealand and colleagues, have been trying to create and evidence base to argue the toss, and she joins me now to discuss her study, Operating...

Healthy self confidence has an important role in surgery, but what came first - the surgeon or the ego? In this conversation, Christopher Myers, Yemeng Lu-Myers, and Amir Ghaferi join us to talk about the (very few) surgeons who behave badly in theatre, and why that behaviour has persisted, and can be detrimental. Read their full...

Even before the Reds underscored their determination to improve by making major offseason acquisitions for the club, first baseman Joey Votto was already working to improve his hitting and his overall game.

Redlining a Holocaust is a rigorously researched oeuvre that establishes Dòwòti Désir as one of the most important figures in contemporary African thought. Redlining is an imaginative and monumental undertaking, a literary, visual, and oratorical...

1 November 2007 , Number 7

City types are waking up to wind, waves and the sun and their potential to make energy – and money. This is just as new energy policies for Europe emerge with twenty percent targets for renewable energy and greenhouse gas cuts. Add to the mix climate change negotiations which will be back in Bali in December.

A Florida TV station's weather radar detected a large mass between the state and Cuba that turned out to be something other than an unseasonable storm -- it was a flock of migrating birds.

For children in U.S. homes where a language other than English is spoken, early childhood programs that are responsive to their needs can be key to later academic success. But as states refine their Quality Rating and Improvement Systems (QRIS) to assess such programs, immigrant early childhood workers with in-demand language and cultural skills may be left behind. This report examines the challenges these workers face and promising practices to serve diverse communities.

Nearly 2 million college-educated immigrants in the United States, more than half coming with academic and professional credentials, are unable to fully utilize their professional skills and instead are stuck in low-skilled work or are unemployed. This report explores a range of programs and policies that are providing cutting-edge career navigation, relicensing, gap filling, and job search assistance to remedy this brain waste.

As the top destination in Europe for asylum seekers in recent years, Germany has rolled out a number of integration policy changes. Based on an early look at how newcomers’ integration is progressing, the report finds the policies have had ambiguous implications. The report also provides insights into the demographic and socioeconomic characteristics of the asylum seeker and refugee population.

Gov. Kate Brown ordered the public release of annual school performance ratings last week after Oregon's biggest newspaper reported that a Brown appointee had delayed the release of the statistical rankings until after the high-stakes gubernatorial election Nov. 6.

Cheltenham : printed for G.A. Williams, librarian, [1823]

London : And T. Cadell, and W. Davies, 1806.

Rockville, Maryland : National Institute on Drug Abuse, 1995.

We present a probabilistic framework for studying adversarial attacks on discrete data. Based on this framework, we derive a perturbation-based method, Greedy Attack, and a scalable learning-based method, Gumbel Attack, that illustrate various tradeoffs in the design of attacks. We demonstrate the effectiveness of these methods using both quantitative metrics and human evaluation on various state-of-the-art models for text classification, including a word-based CNN, a character-based CNN and an LSTM. As an example of our results, we show that the accuracy of character-based convolutional networks drops to the level of random selection by modifying only five characters through Greedy Attack.

We consider the skill rating problem for multiplayer games, that is how to infer player skills from game outcomes in multiplayer games. We formulate the problem as a minimization problem $arg min_{s} s^T Delta s$ where $Delta$ is a positive semidefinite matrix and $s$ a real-valued function, of which some entries are the skill values to be inferred and other entries are constrained by the game outcomes. We leverage graph-based semi-supervised learning (SSL) algorithms for this problem. We apply our algorithms on several data sets of multiplayer games and obtain very promising results compared to Elo Duelling (see Elo, 1978) and TrueSkill (see Herbrich et al., 2006).. As we leverage graph-based SSL algorithms and because games can be seen as relations between sets of players, we then generalize the approach. For this aim, we introduce a new finite model, called hypernode graph, defined to be a set of weighted binary relations between sets of nodes. We define Laplacians of hypernode graphs. Then, we show that the skill rating problem for multiplayer games can be formulated as $arg min_{s} s^T Delta s$ where $Delta$ is the Laplacian of a hypernode graph constructed from a set of games. From a fundamental perspective, we show that hypernode graph Laplacians are symmetric positive semidefinite matrices with constant functions in their null space. We show that problems on hypernode graphs can not be solved with graph constructions and graph kernels. We relate hypernode graphs to signed graphs showing that positive relations between groups can lead to negative relations between individuals.

Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for a wide range of computer vision applications. In this work, we extend existing methodologies to show how 2D thermal facial data can be mapped to provide 3D facial models. For the proposed research work we have used tufts datasets for generating 3D varying face poses by using a single frontal face pose. The system works by refining the existing image quality by performing fusion based image preprocessing operations. The refined outputs have better contrast adjustments, decreased noise level and higher exposedness of the dark regions. It makes the facial landmarks and temperature patterns on the human face more discernible and visible when compared to original raw data. Different image quality metrics are used to compare the refined version of images with original images. In the next phase of the proposed study, the refined version of images is used to create 3D facial geometry structures by using Convolution Neural Networks (CNN). The generated outputs are then imported in blender software to finally extract the 3D thermal facial outputs of both males and females. The same technique is also used on our thermal face data acquired using prototype thermal camera (developed under Heliaus EU project) in an indoor lab environment which is then used for generating synthetic 3D face data along with varying yaw face angles and lastly facial depth map is generated.

Huiping Xu, Xiaochun Li, Changyu Shen, Siu L. Hui, Shaun Grannis.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1753--1790.

Abstract:
The conditional independence assumption of the Felligi and Sunter (FS) model in probabilistic record linkage is often violated when matching real-world data. Ignoring conditional dependence has been shown to seriously bias parameter estimates. However, in record linkage, the ultimate goal is to inform the match status of record pairs and therefore, record linkage algorithms should be evaluated in terms of matching accuracy. In the literature, more flexible models have been proposed to relax the conditional independence assumption, but few studies have assessed whether such accommodations improve matching accuracy. In this paper, we show that incorporating the conditional dependence appropriately yields comparable or improved matching accuracy than the FS model using three real-world data linkage examples. Through a simulation study, we further investigate when conditional dependence models provide improved matching accuracy. Our study shows that the FS model is generally robust to the conditional independence assumption and provides comparable matching accuracy as the more complex conditional dependence models. However, when the match prevalence approaches 0% or 100% and conditional dependence exists in the dominating class, it is necessary to address conditional dependence as the FS model produces suboptimal matching accuracy. The need to address conditional dependence becomes less important when highly discriminating fields are used. Our simulation study also shows that conditional dependence models with misspecified dependence structure could produce less accurate record matching than the FS model and therefore we caution against the blind use of conditional dependence models.

Jacqueline J. Meulman, Anita J. van der Kooij, Kevin L. W. Duisters.

Source: Statistical Science, Volume 34, Number 3, 361--390.

Abstract:
We present a methodology for multiple regression analysis that deals with categorical variables (possibly mixed with continuous ones), in combination with regularization, variable selection and high-dimensional data ($Pgg N$). Regularization and optimal scaling (OS) are two important extensions of ordinary least squares regression (OLS) that will be combined in this paper. There are two data analytic situations for which optimal scaling was developed. One is the analysis of categorical data, and the other the need for transformations because of nonlinear relationships between predictors and outcome. Optimal scaling of categorical data finds quantifications for the categories, both for the predictors and for the outcome variables, that are optimal for the regression model in the sense that they maximize the multiple correlation. When nonlinear relationships exist, nonlinear transformation of predictors and outcome maximize the multiple correlation in the same way. We will consider a variety of transformation types; typically we use step functions for categorical variables, and smooth (spline) functions for continuous variables. Both types of functions can be restricted to be monotonic, preserving the ordinal information in the data. In combination with optimal scaling, three popular regularization methods will be considered: Ridge regression, the Lasso and the Elastic Net. The resulting method will be called ROS Regression (Regularized Optimal Scaling Regression). The OS algorithm provides straightforward and efficient estimation of the regularized regression coefficients, automatically gives the Group Lasso and Blockwise Sparse Regression, and extends them by the possibility to maintain ordinal properties in the data. Extended examples are provided.

Mountains provide freshwater and biodiversity, and are a major source of food. By definition, they dominate their surroundings with towering height and protect valleys and their inhabitants. They play a critical part in moving the world towards sustainable economic growth and have a leading role as indicators of climate change. As we celebrate the International Mountain Day, see how much you [...]

Many teens have taken on the role, but not every Robin was a "boy" wonder

Just across town from the Library of Congress in Washington, D.C., stands Gallaudet University, an institute for higher learning for the deaf and hard-of-hearing. In 1864, President Abraham Lincoln signed the law that allowed the school to begin issuing college degrees, a milestone for deaf people seeking higher education. Edward M. Gallaudet (right) was the […]

Manitoba municipalities will be receiving most of their operating funding from the province sooner than usual because of the COVID-19 pandemic, the province announced Friday.

The post Collaborating Remotely Using SOLIDWORKS: How to Do It Like the Pros appeared first on The SOLIDWORKS Blog.

OM Costa Rica holds a children's celebration dedicated not to the Mexican war victory but to the victory of Jesus.

OM Costa Rica team members celebrated Emmanuel with their friends in a home for patients suffering from HIV and AIDS.

With more than 40 million unique visitors a year, GreatSchools.org is a wildly popular source of information on K-12 schools. Though the site has added more factors and nuance to how it rates schools, researchers argue that it’s exacerbating already existing patterns of segregation.

With more than 40 million unique visitors a year, GreatSchools.org is a wildly popular source of information on K-12 schools. Though the site has added more factors and nuance to how it rates schools, researchers argue that it’s exacerbating already existing patterns of segregation.

The US Surgeon General has determined that the relationship between movie smoking exposure (MSE) and youth smoking is causal; however, it is not known whether movie rating influences how adolescents respond.

The response to PG-13–rated MSE was indistinguishable from R-rated MSE. An R rating for smoking could reduce smoking onset in the United States by 18% (by eliminating PG-13 MSE), an effect similar to making all parents maximally authoritative in their parenting. (Read the full article)

Public awareness and usage of physician-rating Web sites have been increasing over the last few years. Such ratings can influence adults’ decisions about choosing a physician, but their influence on decisions for children’s physicians has not been characterized.

In this nationally representative survey of parents, we found that the majority (74%) are aware of rating Web sites and slightly more than one-quarter (28%) had sought information on rating Web sites when choosing a primary care physician for their children. (Read the full article)

More than 200 million children <5 years are not reaching their developmental potential. Lack of stimulating caregiving is a major cause, and effective scalable interventions are needed. Integrating parenting with health services has been recommended, but there are few evaluations.

An innovative parenting intervention can be delivered at routine visits for primary health care, with benefits to child cognitive development and parenting knowledge. This approach using films, discussion, and practice has the potential for delivery at scale. (Read the full article)

States looking to renew NCLB waivers while they transition to new assessments ask to freeze school ratings in place for one year, the Education Department says.

You don't need a comprehensive No Child Left Behind waiver to get a reprieve from some of the law's accountability requirements.

While there's a chance for SA to be downgraded to non-investment grade in November, rating firms may wait for the outcome of the ANC elective conference, says economist Kim Silberman.

A group of 80 gather in São José dos Campos, Brazil, to celebrate Christmas in a fundraising dinner for the oppressed in the world.

Delaware Joins Thousands of Education Champions across the Country in Celebration of National Summer Learning Week (July 8-13)  Delaware’s First Lady, Tracey Quillen Carney, Delaware Libraries, and the United Way join the National Summer Learning Association (NSLA) in celebrating National SummerLearning Week, a celebration dedicated to elevating the importance of keeping kids learning, safe and healthy every summer; ensuring young people return to school ready to succeed. Delawareans […]

The new website provides a 360-degree solution catering to the entire purchasing procedure which includes finance, insurance, exchange as well as accessories so that customers don't have to step out...

Bruno Pietzsch, Sebastian Fiedler, Kai G. Mertens, Markus Richter, Cédric Scherer, Kirana Widyastuti, Marie-Christin Wimmler, Liubov Zakharova and Uta Berger: The recent advancement of agent-based modeling is characterized by higher demands on the parameterization, evaluation and documentation of these computationally expensive models. Accordingly, there is also a growing request for "easy to go" applications just mimicking the input-output behavior of such models. Metamodels are being increasingly used for these tasks. In this paper, we provide an overview of common metamodel types and the purposes of their usage in an agent-based modeling context. To guide modelers in the selection and application of metamodels for their own needs, we further assessed their implementation effort and performance. We performed a literature research in January 2019 using four different databases. Five different terms paraphrasing metamodels (approximation, emulator, meta-model, metamodel and surrogate) were used to capture the whole range of relevant literature in all disciplines. All metamodel applications found were then categorized into specific metamodel types and rated by different junior and senior researches from varying disciplines (including forest sciences, landscape ecology, or economics) regarding the implementation effort and performance. Specifically, we captured the metamodel performance according to (i) the consideration of uncertainties, (ii) the suitability assessment provided by the authors for the particular purpose, and (iii) the number of valuation criteria provided for suitability assessment. We selected 40 distinct metamodel applications from studies published in peer-reviewed journals from 2005 to 2019. These were used for the sensitivity analysis, calibration and upscaling of agent-based models, as well to mimic their prediction for different scenarios. This review provides information about the most applicable metamodel types for each purpose and forms a first guidance for the implementation and validation of metamodels for agent-based models.

Szymon Talaga and Andrzej Nowak: Real-world social networks often exhibit high levels of clustering, positive degree assortativity, short average path lengths (small-world property) and right-skewed but rarely power law degree distributions. On the other hand homophily, defined as the propensity of similar agents to connect to each other, is one of the most fundamental social processes observed in many human and animal societies. In this paper we examine the extent to which homophily is sufficient to produce the typical structural properties of social networks. To do so, we conduct a simulation study based on the Social Distance Attachment (SDA) model, a particular kind of Random Geometric Graph (RGG), in which nodes are embedded in a social space and connection probabilities depend functionally on distances between nodes. We derive the form of the model from first principles based on existing analytical results and argue that the mathematical construction of RGGs corresponds directly to the homophily principle, so they provide a good model for it. We find that homophily, especially when combined with a random edge rewiring, is sufficient to reproduce many of the characteristic features of social networks. Additionally, we devise a hybrid model combining SDA with the configuration model that allows generating homophilic networks with arbitrary degree sequences and we use it to study interactions of homophily with processes imposing constraints on degree distributions. We show that the effects of homophily on clustering are robust with respect to distribution constraints, while degree assortativity can be highly dependent on the particular kind of enforced degree sequence.

Governor Markell shares his highlights from Governor’s Day at the 2015 Delaware State Fair.

Delaware Grown Week – a campaign highlighting the fruits, vegetables, and value-added agricultural products produced in The First State – officially launched with a kick-off event at the Rehoboth Beach Farmers’ Market including Secretary of Agriculture Michael T. Scuse, state legislators, and other officials.

NEW CASTLE (April 25, 2019) – The Delaware Department of Health and Social Services (DHSS) today announced that Delaware is one of five states selected to partner with the national nonprofit Shatterproof in the development of a new pilot rating system designed to measure quality in addiction treatment programs. Delaware was selected due to the […]

In addition to the service outlined below, starting on Thursday, March 19, Route 301 will add the weekday roundtrip leaving Wilmington at 4:20 AM, arriving in Dover at 5:42 AM; and then leaving Dover at 6:00 AM, arriving in Wilmington at 7:41 AM. Route 303 will be operating the weekday schedule. In Sussex County, Route 206 will operate on the normal weekday schedule.

DART public transit services are operating on the following reduced service schedule until further notice. On weekdays, regular fixed route services are operating on a Saturday service schedule statewide, with additional service on Routes 15, 18, 43 and 301. DART’s regularly scheduled weekend service will operate normal service levels. For specifics, please visit https://www.DartFirstState.com.

Statewide Paratransit services will continue to operate normal hours, as will the Reservations Call Center.

Due to the reduction in service because of COVID-19 virus, this route is not operating until further notice.

Weekday - The following routes are operating on a Saturday schedule: 201, 204, 212 and 215.

Route 206 and 303 are operating on a normal weekday schedule.

Saturday – DART is operating normal Saturday service.

If you are feeling sick, please do not take public transit or visit public facilities. For more information on the state's response to the Coronavirus, visit de.gov/coronavirus.

Thank you.

Weekday – This route is operating on a Saturday schedule.

Weekend – DART is operating normal weekend service.

If you are feeling sick, please do not take public transit or visit public facilities. For more information on the state's response to the Coronavirus, visit de.gov/coronavirus.

Thank you.

Due to the reduction in service because of COVID-19 virus, this route is not operating until further notice.

Weekday – The following routes are operating on a Saturday schedule: 101, 104, 105, 108, 109, 112, 120 and 301; Route 301 has added additional weekday trips to its schedule, which are highlighted in yellow. Route 303 is also operating on a weekday schedule.

Saturday – DART is operating normal Saturday service.

If you are feeling sick, please do not take public transit or visit public facilities. For more information on the state's response to the Coronavirus, visit de.gov/coronavirus.

Thank you.