Evaluating neural networks as a method for identifying students in need of assistance

© 2017 ACM. Course instructors need to be able to identify students in need of assistance as early in the course as possible. Recent work has suggested that machine learning approaches applied to snapshots of small programming exercises may be an effective solution to this problem. However, these results have been obtained using data from a single institution, and prior work using features extracted from student code has been highly sensitive to differences in context. This work provides two contributions: first, a partial reproduction of previously published results, but in a different context, and second, an exploration of the efficacy of neural networks in solving this problem. Our findings confirm the importance of two features (the number of steps required to solve a problem and the correctness of key problems), indicate that machine learning techniques are relatively stable across contexts (both across terms in a single course and across courses), and suggest that neural network based approaches are as effective as the best Bayesian and decision tree methods. Furthermore, neural networks can be tuned to be reliably pessimistic, so they may serve a complementary role in solving the problem of identifying students who need assistance

Clinical studies, the interests and limits of using dabigatran in atrial fibrillation

Atrial fibrillation (AF) is the most frequent cardiac arrhythmia, especially in older people. This condition is associated with an increased risk of stroke, and long-term anticoagulation treatment is therefore needed. Vitamin K antagonists are effective in reducing the risk of stroke but optimal use of these drugs remains difficult. The development of new oral anticoagulant drugs is therefore highly relevant. Dabigatran is an oral direct thrombin inhibitor. Its prodrug, dabigatran etexilate, is marketed under the name of Pradaxa and was initially approved for the prevention of thromboembolic events in major orthopedic surgery. It has been recently approved for stroke prevention in patients with AF. The purpose of this paper is to review--in light of current knowledge--the interests and limits of using dabigatran etexilate in AF. Briefly, dabigatran etexilate is not inferior to warfarin in AF. However many questions remain unanswered, including questions related to the concomitant use of dabigatran etexilate and acetylsalicylic acid, the possible increased risk of myocardial infarction and the need for drug monitoring

Measurement of the cross-section and charge asymmetry of WW bosons produced in proton-proton collisions at s=8\sqrt{s}=8 TeV with the ATLAS detector

This paper presents measurements of the $W^+ \rightarrow \mu^+\nu$ and $W^- \rightarrow \mu^-\nu$ cross-sections and the associated charge asymmetry as a function of the absolute pseudorapidity of the decay muon. The data were collected in proton--proton collisions at a centre-of-mass energy of 8 TeV with the ATLAS experiment at the LHC and correspond to a total integrated luminosity of 20.2~\mbox{fb^{-1}}. The precision of the cross-section measurements varies between 0.8% to 1.5% as a function of the pseudorapidity, excluding the 1.9% uncertainty on the integrated luminosity. The charge asymmetry is measured with an uncertainty between 0.002 and 0.003. The results are compared with predictions based on next-to-next-to-leading-order calculations with various parton distribution functions and have the sensitivity to discriminate between them.Comment: 38 pages in total, author list starting page 22, 5 figures, 4 tables, submitted to EPJC. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2017-13

Search for chargino-neutralino production with mass splittings near the electroweak scale in three-lepton final states in √s=13 TeV pp collisions with the ATLAS detector

A search for supersymmetry through the pair production of electroweakinos with mass splittings near the electroweak scale and decaying via on-shell W and Z bosons is presented for a three-lepton final state. The analyzed proton-proton collision data taken at a center-of-mass energy of √s=13  TeV were collected between 2015 and 2018 by the ATLAS experiment at the Large Hadron Collider, corresponding to an integrated luminosity of 139  fb−1. A search, emulating the recursive jigsaw reconstruction technique with easily reproducible laboratory-frame variables, is performed. The two excesses observed in the 2015–2016 data recursive jigsaw analysis in the low-mass three-lepton phase space are reproduced. Results with the full data set are in agreement with the Standard Model expectations. They are interpreted to set exclusion limits at the 95% confidence level on simplified models of chargino-neutralino pair production for masses up to 345 GeV

Minimisation of bleeding risks due to direct oral anticoagulants

Direct oral anticoagulants (DOAC) are used in several indications for the prevention and treatment of thrombotic events. As highlighted by data from clinical trials and case studies, all DOAC carry the risk of bleeding despite careful selection and patient management. Previous publications have demonstrated the limited knowledge of many physicians concerning the indications for, and correct management of,these anticoagulants. Health institutions should develop risk minimisation strategies and educational materials to prevent major adverse events related to DOAC administration. Major bleeding events are reported in clinical practice and specific antidotes are emerging from Phase III trials. Some antidotes are licensed but their high cost might limit routine use. We therefore illustrate approaches and tools that can help physicians prescribe DOAC appropriately. We focus on screening for modifiable bleeding risk factors and adapting doses according to the individual benefit-risk profile. We also provide recommendations on managing a missed dose, switching, bridging, and resumption