keyword
MENU ▼
Read by QxMD icon Read
search

Problem-based learning

keyword
https://www.readbyqxmd.com/read/28428048/multi-center-machine-learning-in-imaging-psychiatry-a-meta-model-approach
#1
Petr Dluhoš, Daniel Schwarz, Wiepke Cahn, Neeltje van Haren, René Kahn, Filip Španiel, Jiří Horáček, Tomáš Kašpárek, Hugo Schnack
One of the biggest problems in automated diagnosis of psychiatric disorders from medical images is the lack of sufficiently large samples for training. Sample size is especially important in the case of highly heterogeneous disorders such as schizophrenia, where machine learning models built on relatively low numbers of subjects may suffer from poor generalizability. Via multicenter studies and consortium initiatives researchers have tried to solve this problem by combining data sets from multiple sites. The necessary sharing of (raw) data is, however, often hindered by legal and ethical issues...
April 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28427388/movement-cognition-and-narration-of-the-emotions-treatment-versus-standard-speech-therapy-in-the-treatment-of-children-with-borderline-intellectual-functioning-a-randomized-controlled-trial
#2
V Blasi, G Baglio, F Baglio, M P Canevini, M Zanette
BACKGROUND: Borderline intellectual functioning (BIF) is defined as a "health meta-condition… characterized by various cognitive dysfunctions associated with an intellectual quotient (IQ) between 71 and 85 which determines a deficit in the individual's functioning both in the restriction of activities and in the limitation of social participation". It can be caused by many factors, including a disadvantaged background and prematurity. BIF affects 7-12% of primary school children that show academic difficulties due to poor executive functioning...
April 20, 2017: BMC Psychiatry
https://www.readbyqxmd.com/read/28423993/lateralization-of-motor-reactions-and-formation-of-behavioural-tactics-during-learning-in-the-eight-arm-radial-maze-in-adolescent-and-adult-rats
#3
Natalia Kurzina, Irina Aristova, Anna Volnova
The problem of motor lateralization in ontogenesis is important for understanding adaptation development. In our experiment adolescent (P28-P30) and adult (P120) rats were trained in an eight-arm radial maze and their motor behaviour compared during training. During learning, the adult rats typically started by moving either left or right direction in the central arena in choosing the way in the maze. The adult rats also developed behavioural tactics to enter maze arms at 45° or 90° relative to the previously visited arm...
April 19, 2017: Laterality
https://www.readbyqxmd.com/read/28423812/designing-an-e-learning-platform-for-postoperative-arthroplasty-adverse-events
#4
Ole Andreas Krumsvik, Ankica Babic
This paper presents a mobile software application development for e-learning based on the adverse events data within the field of arthroplasty. The application aims at providing a learning platform for physicians, patients, and medical students. Design of user interface aims to meet requirements of several user groups concerned with the adverse events of the knee and hip implants. Besides the clinical patient data, the platform wants to include even electronic patient data as a result of self-monitoring. Two different modules were created, one for medical staff and one for patients, both divided into the knee and hip areas...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28422688/person-reidentification-based-on-elastic-projections
#5
Xuelong Li, Lina Liu, Xiaoqiang Lu
Person reidentification usually refers to matching people in different camera views in nonoverlapping multicamera networks. Many existing methods learn a similarity measure by projecting the raw feature to a latent subspace to make the same target's distance smaller than different targets' distances. However, the same targets captured in different camera views should hold the same intrinsic attributes while different targets should hold different intrinsic attributes. Projecting all the data to the same subspace would cause loss of such an information and comparably poor discriminability...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28421176/distributed-learning-revitalizing-anesthesiology-training-in-resource-limited-ethiopia
#6
Krupa B Patel, Morgan Dooley, Ananya Abate, Vanessa Moll
BACKGROUND: Ethiopia has a significant paucity of available health-care workers. Despite the increasing number of medical schools, there are not enough physician instructors. Furthermore, availability and standardization of postgraduate training are lacking. Modalities of e-learning have been shown to be successful when used to impart medical education in other resource-limited countries. The Emory University and Addis Ababa University (AAU) Departments of Anesthesiology have formed a collaboration with the intent of improving the AAU Anesthesiology residency program, one of two postgraduate training programs for anesthesiology in Ethiopia...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28421026/keeping-the-spirits-up-the-effect-of-teachers-and-parents-emotional-support-on-children-s-working-memory-performance
#7
Loren Vandenbroucke, Jantine Spilt, Karine Verschueren, Dieter Baeyens
Working memory, used to temporarily store and mentally manipulate information, is important for children's learning. It is therefore valuable to understand which (contextual) factors promote or hinder working memory performance. Recent research shows positive associations between positive parent-child and teacher-student interactions and working memory performance and development. However, no study has yet experimentally investigated how parents and teachers affect working memory performance. Based on attachment theory, the current study investigated the role of parent and teacher emotional support in promoting working memory performance by buffering the negative effect of social stress...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28420341/genetic-sequence-based-prediction-of-long-range-chromatin-interactions-suggests-a-potential-role-of-short-tandem-repeat-sequences-in-genome-organization
#8
Sarvesh Nikumbh, Nico Pfeifer
BACKGROUND: Knowing the three-dimensional (3D) structure of the chromatin is important for obtaining a complete picture of the regulatory landscape. Changes in the 3D structure have been implicated in diseases. While there exist approaches that attempt to predict the long-range chromatin interactions, they focus only on interactions between specific genomic regions - the promoters and enhancers, neglecting other possibilities, for instance, the so-called structural interactions involving intervening chromatin...
April 18, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28416450/denoise-diffusion-weighted-images-using-higher-order-singular-value-decomposition
#9
Xinyuan Zhang, Jie Peng, Man Xu, Wei Yang, Zhe Zhang, Hua Guo, Wufan Chen, Qianjin Feng, Ed X Wu, Yanqiu Feng
Noise usually affects the reliability of quantitative analysis in diffusion-weighted (DW) magnetic resonance imaging (MRI), especially at high b-values and/or high spatial resolution. Higher-order singular value decomposition (HOSVD) has recently emerged as a simple, effective, and adaptive transform to exploit sparseness within multidimensional data. In particular, the patch-based HOSVD denoising has demonstrated superb performance when applied to T1-, T2-, and proton density-weighted MRI data. In this study, we aim to investigate the feasibility of denoising DW data using the HOSVD transform...
April 14, 2017: NeuroImage
https://www.readbyqxmd.com/read/28415910/transfer-of-training-in-simple-addition
#10
Yalin Chen, Jamie I D Campbell
In recent years several researchers have proposed that skilled adults may solve single-digit addition problems (e.g. 3 + 1 = 4, 4 + 3 = 7) using a fast counting procedure. Practicing a procedure, often leads to transfer of learning and faster performance of unpracticed items. Such transfer has been demonstrated using a counting-based alphabet arithmetic task (e.g., B + 4 = C D E F) that indicated robust generalization of practice (i.e., RT gains) when untrained transfer problems at test had been implicitly practiced (e...
April 18, 2017: Quarterly Journal of Experimental Psychology: QJEP
https://www.readbyqxmd.com/read/28414998/a-qualitative-study-on-using-concept-maps-in-problem-based-learning
#11
Zenobia C Y Chan
BACKGROUND: The visual arts, including concept maps, have been shown to be effective tools for facilitating student learning. However, the use of concept maps in nursing education has been under-explored. OBJECTIVES: The aim of this study was to explore how students develop concept maps and what these concept maps consist of, and their views on the use of concept maps as a learning activity in a PBL class. DESIGN: A qualitative approach consisting of an analysis of the contents of the concept maps and interviews with students...
April 12, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28413974/identification-of-cell-cycle-regulated-genes-by-convolutional-neural-network
#12
Chenglin Liu, Peng Cui, Tao Huang
BACKGROUND: The cell cycle-regulated genes express periodically with the cell cycle stages, and the identification and study of these genes can provide a deep understanding of the cell cycle process. Large false positives and low overlaps are big problems in cell cycle-regulated gene detection. METHODS: Here, a computational framework called DLGene was proposed for cell cycle-regulated gene detection. It is based on the convolutional neural network, a deep learning algorithm representing raw form of data pattern without assumption of their distribution...
April 17, 2017: Combinatorial Chemistry & High Throughput Screening
https://www.readbyqxmd.com/read/28412724/the-quality-of-the-educational-environment-in-a-medical-college-in-saudi-arabia
#13
Abdullah H Altemani, Tarig H Merghani
Objectives: The study aimed to examine the quality of the educational environment in the Faculty of Medicine, University of Tabuk, Saudi Arabia, and to compare between male and female students using the Dundee Ready Educational Environment Measure (DREEM). Methods: We utilized a cross-sectional survey design.  Participants were 221 medical students (96 males and 125 females) from all classes (1st to 6th year). Each participant responded to a translated version of the DREEM questionnaire that measures five domains: students' perception of learning (SPL), students' perception of teachers (SPT), students' academic self-perception (SASP), students' perception of atmosphere (SPA), and students' social self-perception (SSSP)...
April 14, 2017: International Journal of Medical Education
https://www.readbyqxmd.com/read/28412667/nurses-perceptions-of-the-impact-of-team-based-learning-participation-on-learning-style-team-behaviours-and-clinical-performance-an-exploration-of-written-reflections
#14
Elizabeth Oldland, Judy Currey, Julie Considine, Josh Allen
Team-Based Learning (TBL) is a teaching strategy designed to promote problem solving, critical thinking and effective teamwork and communication skills; attributes essential for safe healthcare. The aim was to explore postgraduate student perceptions of the role of TBL in shaping learning style, team skills, and professional and clinical behaviours. An exploratory descriptive approach was selected. Critical care students were invited to provide consent for the use for research purposes of written reflections submitted for course work requirements...
March 30, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28411726/a-wellness-platform-for-stereoscopic-3d-video-systems-using-eeg-based-visual-discomfort-evaluation-technology
#15
Min-Koo Kang, Hohyun Cho, Han-Mu Park, Sung Chan Jun, Kuk-Jin Yoon
Recent advances in three-dimensional (3D) video technology have extended the range of our experience while providing various 3D applications to our everyday life. Nevertheless, the so-called visual discomfort (VD) problem inevitably degrades the quality of experience in stereoscopic 3D (S3D) displays. Meanwhile, electroencephalography (EEG) has been regarded as one of the most promising brain imaging modalities in the field of cognitive neuroscience. In an effort to facilitate comfort with S3D displays, we propose a new wellness platform using EEG...
July 2017: Applied Ergonomics
https://www.readbyqxmd.com/read/28410106/structured-sparse-subspace-clustering-a-joint-affinity-learning-and-subspace-clustering-framework
#16
Chun-Guang Li, Chong You, Rene Vidal
Subspace clustering refers to the problem of segmenting data drawn from a union of subspaces. State-of-the-art approaches for solving this problem follow a two-stage approach. In the first step, an affinity matrix is learned from the data using sparse or low-rank minimization techniques. In the second step, the segmentation is found by applying spectral clustering to this affinity. While this approach has led to state-of-the-art results in many applications, it is sub-optimal because it does not exploit the fact that the affinity and the segmentation depend on each other...
April 6, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28410099/confidence-based-data-association-and-discriminative-deep-appearance-learning-for-robust-online-multi-object-tracking
#17
Seung-Hwan Bae, Kuk-Jin Yoon
Online multi-object tracking aims at estimating the tracks of multiple objects instantly with each incoming frame and the information provided up to the moment. It still remains a difficult problem in complex scenes, because of the large ambiguity in associating multiple objects in consecutive frames and the low discriminability between objects appearances. In this paper, we propose a robust online multi-object tracking method that can handle these difficulties effectively. We first define the tracklet confidence using the detectability and continuity of a tracklet, and decompose a multi-object tracking problem into small subproblems based on the tracklet confidence...
April 6, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28410096/leave-one-out-kernel-optimization-for-shadow-detection-and-removal
#18
Tomas F Yago Vicente, Minh Hoai, Dimitris Samaras
The objective of this work is to detect shadows in images. We pose this as the problem of labeling image regions, where each region corresponds to a group of superpixels. To predict the label of each region, we train a kernel Least-Squares Support Vector Machine(LSSVM) for separating shadow and non-shadow regions. The parameters of the kernel and the classifier are jointly learned to minimize the leave-one-out cross validation error. Optimizing the leave-one-out cross validation error is typically difficult, but it can be done efficiently in our framework...
April 6, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28410056/generalization-analysis-of-fredholm-kernel-regularized-classifiers
#19
Tieliang Gong, Zongben Xu, Hong Chen
Recently, a new framework, Fredholm learning, was proposed for semisupervised learning problems based on solving a regularized Fredholm integral equation. It allows a natural way to incorporate unlabeled data into learning algorithms to improve their prediction performance. Despite rapid progress on implementable algorithms with theoretical guarantees, the generalization ability of Fredholm kernel learning has not been studied. In this letter, we focus on investigating the generalization performance of a family of classification algorithms, referred to as Fredholm kernel regularized classifiers...
April 14, 2017: Neural Computation
https://www.readbyqxmd.com/read/28408725/screening-for-developmental-delay-in-preschool-aged-children-using-parent-completed-ages-and-stages-questionnaires-additional-insights-into-child-development
#20
Soheir S Abo El Elella, Maha A M Tawfik, Wafaa Moustafa M Abo El Fotoh, Naglaa Fathy Barseem
BACKGROUND: Developmental delay is a delay in areas of speech, language, motor, social and cognitive development. Because of the negative impact of intellectual and learning disabilities, early identification of children with developmental and behavioral problems using appropriate screening tests is crucial. OBJECTIVES: Utilization of parent-completed Ages and Stages Questionnaires (ASQs) for detecting the developmental delay in preschool age children and clarification of possible associated risk factors...
April 13, 2017: Postgraduate Medical Journal
keyword
keyword
6325
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"