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Design for learning

Caio M Moreira, Max Rollwage, Kristin Kaduk, Melanie Wilke, Igor Kagan
Humans and other animals constantly evaluate their decisions in order to learn and behave adaptively. Experimentally, such evaluation processes are accessed using metacognitive reports made after decisions, typically using verbally formulated confidence scales. When subjects report high confidence, it reflects a high certainty of being correct, but a low confidence might signify either low certainty about the outcome, or a high certainty of being incorrect. Hence, metacognitive reports might reflect not only different levels of decision certainty, but also two certainty directions (certainty of being correct and certainty of being incorrect)...
March 12, 2018: Cognition
Bin Li, Yaqing Liu, Changjin Wan, Zhiyuan Liu, Ming Wang, Dianpeng Qi, Jiancan Yu, Pingqiang Cai, Meng Xiao, Yi Zeng, Xiaodong Chen
Memristive synapses based on resistive switching are promising electronic devices that emulate the synaptic plasticity in neural systems. Short-term plasticity (STP), reflecting a temporal strengthening of the synaptic connection, allows artificial synapses to perform critical computational functions, such as fast response and information filtering. To mediate this fundamental property in memristive electronic devices, the regulation of the dynamic resistive change is necessary for an artificial synapse. Here, it is demonstrated that the orientation of mesopores in the dielectric silica layer can be used to modulate the STP of an artificial memristive synapse...
March 15, 2018: Advanced Materials
Sarthak Ghosh, Lauren Winston, Nishant Panchal, Philippe Kimura-Thollander, Jeff Hotnog, Douglas Cheong, Gabriel Reyes, Gregory D Abowd
The proliferation of high resolution and affordable virtual reality (VR) headsets is quickly making room-scale VR experiences available in our homes. Most VR experiences strive to achieve complete immersion by creating a disconnect from the real world. However, due to the lack of a standardized notification management system and minimal context awareness in VR, an immersed user may face certain situations such as missing an important phone call (digital scenario), tripping over wandering pets (physical scenario), or losing track of time (temporal scenario)...
April 2018: IEEE Transactions on Visualization and Computer Graphics
David Capper, David T W Jones, Martin Sill, Volker Hovestadt, Daniel Schrimpf, Dominik Sturm, Christian Koelsche, Felix Sahm, Lukas Chavez, David E Reuss, Annekathrin Kratz, Annika K Wefers, Kristin Huang, Kristian W Pajtler, Leonille Schweizer, Damian Stichel, Adriana Olar, Nils W Engel, Kerstin Lindenberg, Patrick N Harter, Anne K Braczynski, Karl H Plate, Hildegard Dohmen, Boyan K Garvalov, Roland Coras, Annett Hölsken, Ekkehard Hewer, Melanie Bewerunge-Hudler, Matthias Schick, Roger Fischer, Rudi Beschorner, Jens Schittenhelm, Ori Staszewski, Khalida Wani, Pascale Varlet, Melanie Pages, Petra Temming, Dietmar Lohmann, Florian Selt, Hendrik Witt, Till Milde, Olaf Witt, Eleonora Aronica, Felice Giangaspero, Elisabeth Rushing, Wolfram Scheurlen, Christoph Geisenberger, Fausto J Rodriguez, Albert Becker, Matthias Preusser, Christine Haberler, Rolf Bjerkvig, Jane Cryan, Michael Farrell, Martina Deckert, Jürgen Hench, Stephan Frank, Jonathan Serrano, Kasthuri Kannan, Aristotelis Tsirigos, Wolfgang Brück, Silvia Hofer, Stefanie Brehmer, Marcel Seiz-Rosenhagen, Daniel Hänggi, Volkmar Hans, Stephanie Rozsnoki, Jordan R Hansford, Patricia Kohlhof, Bjarne W Kristensen, Matt Lechner, Beatriz Lopes, Christian Mawrin, Ralf Ketter, Andreas Kulozik, Ziad Khatib, Frank Heppner, Arend Koch, Anne Jouvet, Catherine Keohane, Helmut Mühleisen, Wolf Mueller, Ute Pohl, Marco Prinz, Axel Benner, Marc Zapatka, Nicholas G Gottardo, Pablo Hernáiz Driever, Christof M Kramm, Hermann L Müller, Stefan Rutkowski, Katja von Hoff, Michael C Frühwald, Astrid Gnekow, Gudrun Fleischhack, Stephan Tippelt, Gabriele Calaminus, Camelia-Maria Monoranu, Arie Perry, Chris Jones, Thomas S Jacques, Bernhard Radlwimmer, Marco Gessi, Torsten Pietsch, Johannes Schramm, Gabriele Schackert, Manfred Westphal, Guido Reifenberger, Pieter Wesseling, Michael Weller, Vincent Peter Collins, Ingmar Blümcke, Martin Bendszus, Jürgen Debus, Annie Huang, Nada Jabado, Paul A Northcott, Werner Paulus, Amar Gajjar, Giles W Robinson, Michael D Taylor, Zane Jaunmuktane, Marina Ryzhova, Michael Platten, Andreas Unterberg, Wolfgang Wick, Matthias A Karajannis, Michel Mittelbronn, Till Acker, Christian Hartmann, Kenneth Aldape, Ulrich Schüller, Rolf Buslei, Peter Lichter, Marcel Kool, Christel Herold-Mende, David W Ellison, Martin Hasselblatt, Matija Snuderl, Sebastian Brandner, Andrey Korshunov, Andreas von Deimling, Stefan M Pfister
Accurate pathological diagnosis is crucial for optimal management of patients with cancer. For the approximately 100 known tumour types of the central nervous system, standardization of the diagnostic process has been shown to be particularly challenging-with substantial inter-observer variability in the histopathological diagnosis of many tumour types. Here we present a comprehensive approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups, and demonstrate its application in a routine diagnostic setting...
March 14, 2018: Nature
Ilia Korvigo, Andrey Afanasyev, Nikolay Romashchenko, Mikhail Skoblov
Many automatic classifiers were introduced to aid inference of phenotypical effects of uncategorised nsSNVs (nonsynonymous Single Nucleotide Variations) in theoretical and medical applications. Lately, several meta-estimators have been proposed that combine different predictors, such as PolyPhen and SIFT, to integrate more information in a single score. Although many advances have been made in feature design and machine learning algorithms used, the shortage of high-quality reference data along with the bias towards intensively studied in vitro models call for improved generalisation ability in order to further increase classification accuracy and handle records with insufficient data...
2018: PloS One
Lindsay L Juriga, David J Murray, John R Boulet, James J Fehr
BACKGROUND: Simulation is frequently used to recreate many of the crises encountered in patient care settings. Teams learn to manage these crises in an environment that maximizes their learning experiences and eliminates the potential for patient harm. By designing simulation scenarios that include conditions associated with diagnostic errors, teams can experience how their decisions can lead to errors. The purpose of this study was to assess how trauma teams (TrT) and pediatric rapid response teams (RRT) managed scenarios that included a diagnostic error...
November 27, 2017: Diagnosis
Jing Lu, Dong Lu, Zunyun Fu, Mingyue Zheng, Xiaomin Luo
Toxicity is an important reason for the failure of drug research and development (R&D). The traditional experimental testings for chemical toxicity profile are costly and time-consuming. Therefore, it is attractive to develop the effective and accurate alternatives, such as in silico prediction models. In this review, we discuss the practical use of some prediction models on three toxicity end points, including acute toxicity, carcinogenicity, and inhibition of the human ether-a-go-go-related gene ion channel (hERG)...
2018: Methods in Molecular Biology
Keumseok Koh, Rebecca Reno, Ayaz Hyder
Recent advances in computing resources have increased interest in systems modeling and population health. While group model building (GMB) has been effectively applied in developing system dynamics models (SD), few studies have used GMB for developing an agent-based model (ABM). This article explores the use of a GMB approach to develop an ABM focused on food insecurity. In our GMB workshops, we modified a set of the standard GMB scripts to develop and validate an ABM in collaboration with local experts and stakeholders...
March 13, 2018: Journal of Urban Health: Bulletin of the New York Academy of Medicine
Dolly A Parasrampuria, Leslie Z Benet, Amarnath Sharma
New drug development is both resource and time intensive, where later clinical stages result in significant costs. We analyze recent late-stage failures to identify drugs where failures result from inadequate scientific advances as well as drugs where we believe pitfalls could have been avoided. These can be broadly classified into two categories: 1) where science is mature and the failures can be avoided through rigorous and prospectively determined decision-making criteria, scientific curiosity, and discipline to follow up on emerging findings; and 2) where problems encountered in Phase 3 failures cannot be explained at this time, as the science is not sufficiently advanced and companies/investigators need to recognize the possibility of deficiency of our knowledge...
March 13, 2018: AAPS Journal
Mantas Mikaitis, Garibaldi Pineda García, James C Knight, Steve B Furber
SpiNNaker is a digital neuromorphic architecture, designed specifically for the low power simulation of large-scale spiking neural networks at speeds close to biological real-time. Unlike other neuromorphic systems, SpiNNaker allows users to develop their own neuron and synapse models as well as specify arbitrary connectivity. As a result SpiNNaker has proved to be a powerful tool for studying different neuron models as well as synaptic plasticity-believed to be one of the main mechanisms behind learning and memory in the brain...
2018: Frontiers in Neuroscience
Patrick T Reeves, Matthew A Borgman, Nicole W Caldwell, Leela Patel, James Aden, John P Duggan, Maria L Serio-Melvin, Elizabeth A Mann-Salinas
OBJECTIVE: The Advanced Burn Life Support (ABLS) program is a burn-education curriculum nearly 30 years in the making, focusing on the unique challenges of the first 24h of care after burn injury. Our team applied high fidelity human patient simulation (HFHPS) to the established ABLS curriculum. Our hypothesis was that HFHPS would be a feasible, easily replicable, and valuable adjunct to the current curriculum that would enhance learner experience. METHODS: This prospective, evidenced-based practice project was conducted in a single simulation center employing the American Burn Association's ABLS curriculum using HFHPS...
March 10, 2018: Burns: Journal of the International Society for Burn Injuries
Jodi Summers Holtrop, Borsika A Rabin, Russell E Glasgow
BACKGROUND: There have been over 430 publications using the RE-AIM model for planning and evaluation of health programs and policies, as well as numerous applications of the model in grant proposals and national programs. Full use of the model includes use of qualitative methods to understand why and how results were obtained on different RE-AIM dimensions, however, recent reviews have revealed that qualitative methods have been used infrequently. Having quantitative and qualitative methods and results iteratively inform each other should enhance understanding and lessons learned...
March 13, 2018: BMC Health Services Research
William Darrow, Chintan Bhatt, Cassandra Rene, Lakisha Thomas
In January 2016, the first case of mosquito-borne Zika infection in the mainland United States was confirmed in Miami, Florida. The first locally acquired case was reported 6 months later. Local public health and school officials began warning students of the outbreak on their return to the classroom in August 2016. In November-December 2016, we conducted a survey of students attending a large public university in Miami to determine how well informed they were about Zika. A multistage sampling design was used to contact teaching assistants and ask them for help in recruiting their students...
March 1, 2018: Health Education & Behavior: the Official Publication of the Society for Public Health Education
James F Burgess, Nir Menachemi, Matthew L Maciejewski
OBJECTIVE: To present revised core competencies for doctoral programs in health services research (HSR), modalities to deliver these competencies, and suggested methods for assessing mastery of these competencies. DATA SOURCES AND DATA COLLECTION: Core competencies were originally developed in 2005, updated (but unpublished) in 2008, modestly updated for a 2016 HSR workforce conference, and revised based on feedback from attendees. Additional feedback was obtained from doctoral program directors, employer/workforce experts and attendees of presentation on these competencies at the AcademyHealth's June 2017 Annual Research Meeting...
March 13, 2018: Health Services Research
Hongyuan Zhu, Romain Vial, Shijian Lu, Xi Peng, Huazhu Fu, Yonghong Tian, Xianbin Cao
In this paper, we propose YoTube-a novel deep learning framework for generating action proposals in untrimmed videos, where each action proposal corresponds to a spatial-temporal tube that potentially locates one human action. Most of the existing works generate proposals by clustering low-level features or linking image proposals, which ignore the interplay between long-term temporal context and short-term cues. Different from these works, our method considers the interplay by designing a new recurrent YoTube detector and static YoTube detector...
June 2018: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Aicha Bentaieb, Ghassan Hamarneh
It is generally recognized that color information is central to the automatic and visual analysis of histopathology tissue slides. In practice, pathologists rely on color, which reflects the presence of specific tissue components, to establish a diagnosis. Similarly, automatic histopathology image analysis algorithms rely on color or intensity measures to extract tissue features. With the increasing access to digitized histopathology images, color variation and its implications have become a critical issue...
March 2018: IEEE Transactions on Medical Imaging
Kyungja Kang, Mi Yu
BACKGROUND: Student self-debriefing promotes self-confidence, helps to increase clinical performance, and is a more cost-effective method than is traditional instructor-led debriefing in simulation-based learning. OBJECTIVES: This study compared the effectiveness of debriefing-in terms of the problem-solving process, team effectiveness, debriefing assessment, and debriefing satisfaction-between an experimental group who received both student self-debriefing (SSD) and instructor debriefing (ID) and a control group who received only instructor debriefing...
March 2, 2018: Nurse Education Today
Joe Bathelt, Susan E Gathercole, Sally Butterfield, Duncan E Astle
Literacy and numeracy are important skills that are typically learned during childhood, a time that coincides with considerable shifts in large-scale brain organization. However, most studies emphasize focal brain contributions to literacy and numeracy development by employing case-control designs and voxel-by-voxel statistical comparisons. This approach has been valuable, but may underestimate the contribution of overall brain network organization. The current study includes children (N = 133 children; 86 male; mean age = 9...
March 13, 2018: Developmental Science
Macellina Y Ijadunola, Temitope O Ojo, Florence O Akintan, Ayoade O Adeyemo, Ademola S Afolayan, Olakunle G Akanji
PURPOSE: This study assessed awareness and availability of assistive facilities in a Nigerian public university. METHODS: Study was conducted in Obafemi Awolowo University (OAU), Ile Ife Nigeria using a mixed methods approach. Fifty two students with disability (SWD) were interviewed with a semistructured, self-administered questionnaire. A checklist was used to assess assistive facilities on campus while in-depth interviews (IDI) were conducted with university officials, to assess their perspectives about the availability and use of assistive facilities in the university...
March 12, 2018: Disability and Rehabilitation. Assistive Technology
Jennifer Mosst
Disease prevention is an effective means for improving health outcomes and reducing the cost burden of chronic diseases. Prevention Diaries is a collection of short accounts and learnings with the goal of making the case for prevention as a transformative tool to drive health and social change. The book provides insight from the field and outlines why prevention is the solution to many social challenges and provides innovative ideas that are needed to advance the prevention agenda. The book was designed for newcomers to public health and students of health and related fields, and is also a tool for health leaders and health practitioners interested in moving the needle from crisis intervention to community-level prevention...
March 1, 2018: Health Promotion Practice
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