Worcester Polytechnic Institute

About: Worcester Polytechnic Institute is a education organization based out in Worcester, Massachusetts, United States. It is known for research contribution in the topics: Computer science & Population. The organization has 6270 authors who have published 12704 publications receiving 332081 citations. The organization is also known as: WPI.

Detection and analysis of off-task gaming behavior in intelligent tutoring systems

Abstract: A major issue in Intelligent Tutoring Systems is off-task student behavior, especially performance-based gaming, where students systematically exploit tutor behavior in order to advance through a curriculum quickly and easily, with as little active thought directed at the educational content as possible. The goal of this research was to explore the phenomena of off-task gaming behavior within the Assistments system. Machine-learned gaming-detection models were developed to investigate underlying factors related to gaming, and an analysis of gaming within the Assistments system was conducted to compare some of the findings of prior studies.

Polysaccharide properties probed with atomic force microscopy

Abstract: In recent years, polysaccharides have been extensively studied using atomic force microscopy (AFM). Owing to its high lateral and vertical resolutions and ability to measure interaction forces in liquids at pico- or nano-Newton level, the AFM is an excellent tool for characterizing biopolymers. The first imaging studies showed the morphology of polysaccharides, but gradually more quantitative image analysis techniques were developed as the AFM grew easier to use in aqueous liquids and in non-contact modes. Recently, AFM has been used to stretch polysaccharides and characterize their physicochemical properties by application of appropriate polymer stretching models, using a technique called single-molecule force spectroscopy. From application of such models as the wormlike chain, freely jointed chain, extensible-freely jointed chain, etc., properties such as the contour length, persistence length and segment elasticity or spring constant can be calculated for polysaccharides. The adhesion between polysaccharides and surfaces has been quantified with AFM, and this application is particularly useful for studying polysaccharides on microbial and other types of cells, because their adhesion is controlled by biopolymer characteristics. This review presents a synthesis of the theory and techniques currently in use to probe the physicochemical properties of polysaccharides with AFM.

B-type natriuretic peptide and C-reactive protein in the prediction of atrial fibrillation risk: the CHARGE-AF Consortium of community-based cohort studies

Abstract: Aims B-type natriuretic peptide (BNP) and C-reactive protein (CRP) predict atrial fibrillation (AF) risk. However, their risk stratification abilities in the broad community remain uncertain. We sought to improve risk stratification for AF using biomarker information. Methods and results We ascertained AF incidence in 18 556 Whites and African Americans from the Atherosclerosis Risk in Communities Study (ARIC, n =10 675), Cardiovascular Health Study (CHS, n = 5043), and Framingham Heart Study (FHS, n = 2838), followed for 5 years (prediction horizon). We added BNP (ARIC/CHS: N-terminal pro-B-type natriuretic peptide; FHS: BNP), CRP, or both to a previously reported AF risk score, and assessed model calibration and predictive ability [C-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI)]. We replicated models in two independent European cohorts: Age, Gene/Environment Susceptibility Reykjavik Study (AGES), n = 4467; Rotterdam Study (RS), n = 3203. B-type natriuretic peptide and CRP were significantly associated with AF incidence ( n = 1186): hazard ratio per 1-SD ln-transformed biomarker 1.66 [95% confidence interval (CI), 1.56–1.76], P < 0.0001 and 1.18 (95% CI, 1.11–1.25), P < 0.0001, respectively. Model calibration was sufficient (BNP, χ 2 = 17.0; CRP, χ 2 = 10.5; BNP and CRP, χ 2 = 13.1). B-type natriuretic peptide improved the C-statistic from 0.765 to 0.790, yielded an IDI of 0.027 (95% CI, 0.022–0.032), a relative IDI of 41.5%, and a continuous NRI of 0.389 (95% CI, 0.322–0.455). The predictive ability of CRP was limited (C-statistic increment 0.003). B-type natriuretic peptide consistently improved prediction in AGES and RS. Conclusion B-type natriuretic peptide, not CRP, substantially improved AF risk prediction beyond clinical factors in an independently replicated, heterogeneous population. B-type natriuretic peptide may serve as a benchmark to evaluate novel putative AF risk biomarkers.