The European Radiobiological Archive can be accessed at no cost at https://era.bfs.de. The necessary ID and password can be obtained from the curators at era@bfs.de.

OBJECTIVES: The objective of this study was to compare costs data by diagnosis related group (DRG) between Belgium and Switzerland. Our hypotheses were that differences between countries can probably be explained by methodological differences in cost calculations, by differences in medical practices and by differences in cost structures within the ...

MOTIVATION: Bacteriophages have two distinct lifestyles: virulent and temperate. The virulent lifestyle has many implications for phage therapy, genomics, and microbiology. Determining which lifestyle a newly sequenced phage falls into is currently determined using standard culturing techniques. Such laboratory work is not only costly and time consuming, but also cannot ...

Purpose Postdoctoral pharmacy industry fellowship programs and the employment of fellowship graduates are described. Methods A list of postgraduate industry fellowships was gathered from the 2009 ASHP Midyear Clinical Meeting. Data regarding program characteristics were collected using the Personnel Placement Service database and program-specific brochures. After data compilation, a standardized ...

Objective: This article focuses on wraparound as an example of a team planning process, and uses data from several sources to reflect on questions about whether-and under what conditions-collaborative teams are successful in engaging young people-and their caregivers-in planning. Methods: We used data collected in three studies to address our ...

The Mini-Sentinel is a pilot program that is developing methods, tools, resources, policies, and procedures to facilitate the use of routinely collected electronic healthcare data to perform active surveillance of the safety of marketed medical products, including drugs, biologics, and medical devices. The U.S. Food and Drug Administration (FDA) initiated ...

Many older adults experience fear of falling, which may reduce participation in routine activities. A Matter of Balance (MOB) and Un Asunto de Equilibrio (ADE) workshops were offered in South Florida to reduce fear of falling and increase activity levels in older adults. The objectives of this study were to ...

This paper reports on a pilot project aimed at exploring postgraduate distance students' experiences using personal video capture technology to complete competency assessments in physical examination. A pre-intervention survey gathered demographic data from nurse practitioner students (n=31) and measured their information communication technology fluency. Subsequently, thirteen (13) students were allocated ...

Objective: We examined relations between young adult texting and accessing the web while driving with driving outcomes (viz. crashes and traffic citations). Our premise is that engaging in texting and accessing the web while driving is not only distracting but that these activities represent a pattern of behavior that leads ...

Abstract The exclusive reproduction of short-term learned and pool-based contents in examinations may impede development of in-depth understanding. This pilot project suggests an approach useful to overcome this shortcoming by enhancing students' motivation for comprehensive learning using automatically added contextual questions in electronic examinations. Installed in practical courses teaching pain ...

Micronutrient deficiency remains a major public health problem in many countries worldwide with important consequences for the health of the population and child growth and development. The objective of this article is to review information that should be taken into consideration in identifying the need for and in designing micronutrient ...

SUMMARY: The analysis of genetic data often requires a combination of several approaches using different and sometimes incompatible programs. In order to facilitate data exchange and file conversions between population genetics programs, we introduce PGDSpider, a Java program that can read 27 different file formats and export data into 29, ...

The Safe Schools/Healthy Students (SS/HS) national evaluation seeks to assess both the implementation process and the results of the SS/HS initiative, exploring factors that have contributed to or detracted from grantee success. Each site is required to forge partnerships with representatives from education, mental health, juvenile justice, and law enforcement, ...

Abstract Objective: Sexually transmitted infections and the human immunodeficiency virus incidence rates remain high among college-aged individuals. This study examined the validity and reliability of the Multi-Factor Attitude toward Condoms Scale (MFACS). Participants: Participants were recruited from a large midwestern university during February and March 2009. Methods: Data were collected ...

The predictive value of application data for future general surgery resident performance and attrition are poorly understood. We sought to determine what variables obtained in the application process might predict future resident success. We performed an 18-year review (1990-2008) of all matched residents (n = 101) to a university program. ...

This report describes a linked series of Masters-level computer practical workshops. They comprise an advanced functional genomics investigation, based upon analysis of a microarray dataset probing yeast DNA damage responses. The workshops require the students to analyse highly complex transcriptomics datasets, and were designed to stimulate active learning through experience ...

Recent years have witnessed an incredibly increasing interest in the topic of incremental learning. Unlike conventional machine learning situations, data flow targeted by incremental learning becomes available continuously over time. Accordingly, it is desirable to be able to abandon the traditional assumption of the availability of representative training data during ...

Kernel machines have gained much popularity in applications of machine learning. Support vector machines (SVMs) are a subset of kernel machines and generalize well for classification, regression, and anomaly detection tasks. The training procedure for traditional SVMs involves solving a quadratic programming (QP) problem. The QP problem scales super linearly ...

The available data concerning recently marketed computer simulators for training in digestive endoscopy suggest that they could play a role in the pre-clinical phase of training, thus potentially leading to a shorter learning curve and better performance in the endoscopy room during the early phase of hands-on training. Technical improvements ...

Machine learning algorithms such as genetic programming (GP) can evolve biased classifiers when data sets are unbalanced. Data sets are unbalanced when at least one class is represented by only a small number of training examples (called the minority class) while other classes make up the majority. In this scenario, ...

ABSTRACT: BACKGROUND: A central aim for studying runs of homozygosity (ROHs) in genome-wide SNP data is to detect the effects of autozygosity (stretches of the two homologous chromosomes within the same individual that are identical by descent) on phenotypes. However, it is unknown which current ROH detection program, and which ...

This two-part lecture introduces students to the scientific computing language MATLAB. Prior computer programming experience is not required. The lectures present basic concepts of computer programming logic that tend to cause difficulties for beginners in addition to concepts that relate specifically to the MATLAB language syntax. The lectures begin with ...

Over the past two decades many quantitative trait loci (QTL) have been detected; however, very few have been incorporated into breeding programs. The recent development of genome-wide association studies (GWAS) in plants provides the opportunity to detect QTL in germplasm collections such as unstructured populations from breeding programs. The overall ...

The Centers for Medicare and Medicaid Services set the prevalent arteriovenous fistula (AVF) rate of 66% as a national standard. To test the hypothesis that the use of a clinical vascular access coordinator could increase the rate of AVF in a large Nephrology group practice, we implemented an aggressive, multidisciplinary ...

Family medicine clerkship directors review students' patient encounter logs. Encounter data can be used to alter students' learning experiences. Our purpose was to determine if students record different types of patient encounters before and after reviewing log data with clerkship directors. Clerkship directors met with each student at clerkship midpoint, ...

PURPOSE OF REVIEW: Cystic fibrosis (CF) patient registries have become an important epidemiological tool for demography, networking, and quality management. This review describes recent developments in patient registries, outcome research, and pilot projects in quality improvement. RECENT FINDINGS: National and international CF registry efforts have been producing consolidated data. Classical ...

Agencies providing residential treatment are encouraged, or even mandated, to collect outcomes data and to implement evidence based practices, yet little guidance has been provided on how to do so using agency administrative data that are collected on an ongoing basis. We examined data on Child and Adolescent Functional Assessment ...

Background Increased compliance with performance measures could reflect better care or better data documentation. We examined trends in the documentation of eligibility criteria, treatment contraindications, and missing data in the Get With The Guidelines-Stroke program to quantify their contribution to increased performance measure compliance. Methods and Results Data on 569 ...

The lack of comparable metrics to evaluate prevention and early detection patient navigation programs impeded the ability to identify best practices. The Prevention and Early Detection Workgroup of the Patient Navigation Leadership Summit was charged with making recommendations for common clinical metrics specific to the prevention and early detection phase ...

This work presents an investigation of the potential benefits of customizing the analysis of long-term ECG signals, collected from individuals using wearable sensors, by incorporating small amount of data from these individuals in the training set of our classifiers. The global training dataset selected was from the MIT-BIH Arrhythmias Database. ...

Objective: This study aimed to provide an overview of the development, content, feasibility, and effectiveness of existing orientation and mobility training programmes in the use of the identification cane. Data sources: A systematic bibliographic database search in PubMed, PsychInfo, ERIC, CINAHL and the Cochrane Library was performed, in combination with ...

ABSTRACT: BACKGROUND: Syndromic surveillance has been widely adopted as a real-time monitoring tool for timely response to disease outbreaks. During the second wave of the pH1N1 pandemic in Fall 2009, two major universities in Washington, DC collected data that were potentially indicative of influenza-like illness (ILI) cases in students and ...

Abstract The aim of this study was to quantify the physiological loads of programmed "pre-season" and "in-season" training in professional soccer players. Data for players during each period were included for analysis (pre-season, n = 12; in-season, n = 10). We monitored physiological loading of training by measuring heart rate and rating of perceived ...

MOTIVATION: Tools aiding in collaborative data analysis are becoming ever more important as researchers work together over long distances. We present an extension to the Gaggle framework, which has been widely adopted as a tool to enable data exchange between different analysis programs on one computer. RESULTS: Our program, GaggleBridge, ...

We present TRAVIS ("TRajectory Analyzer and VISualizer"), a free program package for analyzing and visualizing Monte Carlo and molecular dynamics trajectories. The aim of TRAVIS is to collect as many analyses as possible in one program, creating a powerful tool and making it unnecessary to use many different programs for ...

Purpose The capabilities of available software programs for the management of applications to patient assistance programs (PAPs) and associated administrative tasks are reported. Summary Fifteen PAP software programs available at the time of data collection (July-September 2010) were identified through an Internet search and from e-mailed responses to a listserv ...

Background/Objectives:The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a food can be included as a covariate in ...

Many applications of machine learning involve analysis of sparse high-dimensional data, in which the number of input features is larger than the number of data samples. Standard inductive learning methods may not be sufficient for such data, and this provides motivation for nonstandard learning settings. This paper investigates a new ...

BACKGROUND: The project GULiVer explores how lay people in Belgium (Gent), the Netherlands (Utrecht), the UK (Liverpool) and Italy (Verona) evaluate physicians' communicative skills. The aims are to present the study design and to assess the quality of collected data. METHODS: In each centre one out of two sets of ...

SUMMARY: CytoscapeRPC is a plugin for Cytoscape which allows users to create, query and modify Cytoscape networks from any programming language which supports XML-RPC. This enables them to access Cytoscape functionality and visualize their data interactively without leaving the programming environment with which they are familiar. AVAILABILITY: Install through the ...

Objective Concept extraction is a process to identify phrases referring to concepts of interests in unstructured text. It is a critical component in automated text processing. We investigate the performance of machine learning taggers for clinical concept extraction, particularly the portability of taggers across documents from multiple data sources. Methods ...

Co-training is one of the major semi-supervised learning paradigms that iteratively trains two classifiers on two different views, and uses the predictions of either classifier on the unlabeled examples to augment the training set of the other. During the co-training process, especially in initial rounds when the classifiers have only ...

SUMMARY: The SNPman program calls the genotypes of single nucleotide polymorphisms (SNP) from TaqMan allelic discrimination assays. It utilizes the fluorescence data collected over the whole PCR run, rather than relying on the end-point fluorescence measurements that is the basis of the genotype calling process in most software solutions sold ...

  Reintroduction of captive-reared animals has become increasingly popular in recent decades as a conservation technique, but little is known of how demographic factors affect the success of reintroductions. We believe whether the increase in population persistence associated with reintroduction is sufficient to warrant the cost of rearing and relocating ...

We propose a new learning strategy for object detection. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, and instead learns a single classifier that has the inherent ability to deform based on the signal of interest.We train a detector with ...

Quality assurance data - essential to successful efforts to improve the quality and efficiency of healthcare - is more important than ever in today's environment. Robust quality assurance activities are required to achieve the accreditation necessary to obtain Medicare reimbursement and for participation in the Accountable Care Organization shared savings ...

Athlete case studies have often focused on the training outcome and not the training process. Consequently, there is a dearth of information detailing longitudinal training protocols, yet it is the combined assessment of both outcome and process that enhances the interpretation of physical test data. We were provided with a ...

Despite limited data on patient outcomes, simulation training has already been adopted and embraced by a large number of medical schools. Yet widespread acceptance of simulation should not relieve us of the duty to demonstrate if, and under which circumstances, training learners on simulation benefits real patients. Here we review ...

Database-search programs for peptide identification by tandem mass spectrometry ask their users to set various parameters, including precursor and fragment mass tolerances, digestion specificity, and allowed types of modifications. Even proteomics experts with detailed knowledge of their samples may find it difficult to make these choices without significant investigation, and ...

Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has only a limited number of labeled samples. To cope with the considerable change between feature distributions of different domains, we propose a new cross-domain ...