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https://www.readbyqxmd.com/read/28727566/model-free-adaptive-control-for-unknown-nonlinear-zero-sum-differential-game
#1
Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni
In this paper, we present a new model-free globalized dual heuristic dynamic programming (GDHP) approach for the discrete-time nonlinear zero-sum game problems. First, the online learning algorithm is proposed based on the GDHP method to solve the Hamilton-Jacobi-Isaacs equation associated with H∞ optimal regulation control problem. By setting backward one step of the definition of performance index, the requirement of system dynamics, or an identifier is relaxed in the proposed method. Then, three neural networks are established to approximate the optimal saddle point feedback control law, the disturbance law, and the performance index, respectively...
July 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28727552/nonparametric-joint-shape-and-feature-priors-for-image-segmentation
#2
Ertunc Erdil, M Usman Ghani, Lavdie Rada, A Ozgur Argunsah, Devrim Unay, Tolga Tasdizen, Mujdat Cetin
In many image segmentation problems involving limited and low-quality data, employing statistical prior information about the shapes of the objects to be segmented can significantly improve the segmentation result. However, defining probability densities in the space of shapes is an open and challenging problem, especially if the object to be segmented comes from a shape density involving multiple modes (classes). Existing techniques in the literature estimate the underlying shape distribution by extending Parzen density estimator to the space of shapes...
July 17, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28725883/efficient-learning-of-classification-models-from-soft-label-information-by-binning-and-ranking
#3
Yanbing Xue, Milos Hauskrecht
Construction of classification models from data in practice often requires additional human effort to annotate (label) observed data instances. However, this annotation effort may often be too costly and only a limited number of data instances may be feasibly labeled. The challenge is to find methods that let us reduce the number of the labeled instances but at the same time preserve the quality of the learned models. In this paper we study the idea of learning classification from soft label information in which each instance is associated with a soft-label further refining its class label...
May 2017: Proceedings of the ... International Florida AI Research Society Conference
https://www.readbyqxmd.com/read/28724914/enhanced-learning-through-multimodal-training-evidence-from-a-comprehensive-cognitive-physical-fitness-and-neuroscience-intervention
#4
N Ward, E Paul, P Watson, G E Cooke, C H Hillman, N J Cohen, A F Kramer, A K Barbey
The potential impact of brain training methods for enhancing human cognition in healthy and clinical populations has motivated increasing public interest and scientific scrutiny. At issue is the merits of intervention modalities, such as computer-based cognitive training, physical exercise training, and non-invasive brain stimulation, and whether such interventions synergistically enhance cognition. To investigate this issue, we conducted a comprehensive 4-month randomized controlled trial in which 318 healthy, young adults were enrolled in one of five interventions: (1) Computer-based cognitive training on six adaptive tests of executive function; (2) Cognitive and physical exercise training; (3) Cognitive training combined with non-invasive brain stimulation and physical exercise training; (4) Active control training in adaptive visual search and change detection tasks; and (5) Passive control...
July 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28724281/the-virtual-asthma-guideline-e-learning-program-learning-effectiveness-and-user-satisfaction
#5
Sung-Yoon Kang, Sae-Hoon Kim, Yong-Eun Kwon, Tae-Bum Kim, Hye-Kyung Park, Heung-Woo Park, Yoon-Seok Chang, Young-Koo Jee, Hee-Bom Moon, Kyung-Up Min, Sang-Heon Cho
Background/Aims: Effective educational tools are important for increasing adherence to asthma guidelines and clinical improvement of asthma patients. We developed a computer-based interactive education program for asthma guideline named the Virtual Learning Center for Asthma Management (VLCAM). We evaluated the usefulness of program in terms of its effects on user awareness of asthma guideline and level of satisfaction. Methods: Physicians-in-training at tertiary hospitals in Korea were enrolled in a cross-sectional questionnaire survey...
July 21, 2017: Korean Journal of Internal Medicine
https://www.readbyqxmd.com/read/28722154/application-of-headspace-solid-phase-microextraction-followed-by-gas-chromatography-coupled-with-mass-spectrometry-spme-gc-ms-to-determine-esters-of-carboxylic-acids-and-other-volatile-compounds-in-d-maculatus-and-d-ater-lipids
#6
Magdalena Cerkowniak, Mieczysława I Boguś, Emilia Włóka, Piotr Stepnowski, Marek Gołębiowski
A constant problem in veterinary medicine, human healthcare, agriculture, forestry or horticulture is the large number of pests, and the lack of effective methods to combat them which cause no harm to the rest of the environment. It is recommended and desired to reduce the use of chemicals and increase the use of agents based on the knowledge acquired in the field of biology, chemistry, and agrochemicals. To learn the defense mechanisms of insects we should consider not only the site of their physiological ability to protect against external factors (cuticle), but also check the possibility of chemical protection, formed by all compounds on the surface and in the body of insects...
July 19, 2017: Biomedical Chromatography: BMC
https://www.readbyqxmd.com/read/28720874/knowledge-transfer-learning-for-prediction-of-matrix-metalloprotease-substrate-cleavage-sites
#7
Yanan Wang, Jiangning Song, Tatiana T Marquez-Lago, André Leier, Chen Li, Trevor Lithgow, Geoffrey I Webb, Hong-Bin Shen
Matrix Metalloproteases (MMPs) are an important family of proteases that play crucial roles in key cellular and disease processes. Therefore, MMPs constitute important targets for drug design, development and delivery. Advanced proteomic technologies have identified type-specific target substrates; however, the complete repertoire of MMP substrates remains uncharacterized. Indeed, computational prediction of substrate-cleavage sites associated with MMPs is a challenging problem. This holds especially true when considering MMPs with few experimentally verified cleavage sites, such as for MMP-2, -3, -7, and -8...
July 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28720423/undergraduate-clinical-teaching-in-orthopedic-surgery-a-randomized-control-trial-comparing-the-effect-of-case-based-teaching-and-bedside-teaching-on-musculoskeletal-osce-performance
#8
Martin Kelly, Iain Feeley, Fiona Boland, John M O'Byrne
INTRODUCTION: Musculoskeletal (MSK) complaints are the second most common reason for a hospital outpatient appointment in the US, and account for 19.5% of general practice consultations. Previous studies have shown that passive teaching in medical school does not imbue students with an adequate degree of confidence in MSK evaluation. The aim of this study was to conduct a randomized control trial to compare the effect of the gold standard small group tutorial of bedside teaching against case-based teaching (CBT) in relation to orthopedic surgery in medical students...
July 15, 2017: Journal of Surgical Education
https://www.readbyqxmd.com/read/28719247/telehealth-in-schools-using-a-systematic-educational-model-based-on-fiction-screenplays-interactive-documentaries-and-three-dimensional-computer-graphics
#9
Diogo Julien Miranda, Chao Lung Wen
BACKGROUND: Preliminary studies suggest the need of a global vision in academic reform, leading to education re-invention. This would include problem-based education using transversal topics, developing of thinking skills, social interaction, and information-processing skills. We aimed to develop a new educational model in health with modular components to be broadcast and applied as a tele-education course. MATERIALS AND METHODS: We developed a systematic model based on a "Skills and Goals Matrix" to adapt scientific contents on fictional screenplays, three-dimensional (3D) computer graphics of the human body, and interactive documentaries...
July 18, 2017: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/28717600/implementation-of-the-xpert-mtb-rif-assay-for-tuberculosis-in-mongolia-a-qualitative-exploration-of-barriers-and-enablers
#10
Nicole L Rendell, Solongo Bekhbat, Gantungalag Ganbaatar, Munkhjargal Dorjravdan, Madhukar Pai, Claudia C Dobler
OBJECTIVE: The aim of our study was to identify barriers and enablers to implementation of the Xpert MTB/RIF test within Mongolia's National Tuberculosis Program. METHODS: Twenty-foursemi-structured interviews were conducted between June and September 2015 with laboratory staff and tuberculosis physicians in Mongolia's capital Ulaanbaatar and regional towns where Xpert MTB/RIF testing had been implemented. Interviews were recorded, transcribed, translated and analysed thematically using NVIVO qualitative analysis software...
2017: PeerJ
https://www.readbyqxmd.com/read/28715261/social-media-use-and-conduct-problems-in-emerging-adults
#11
Victoria L Galica, Anna Vannucci, Kaitlin M Flannery, Christine McCauley Ohannessian
Social media use has become pervasive in the lives of emerging adults. Although social media may provide individuals with positive opportunities for communication and learning, social media sites also may provide an outlet for youth conduct problems, such as bullying, harassment, and intentional hostility and aggression toward others. Yet, the relationship between social media use and conduct problems remains unclear. This study investigated the association between conduct disorder (CD) symptoms before age 15 and social media use during emerging adulthood in a large, nationally representative sample...
July 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28714187/a-critique-of-utilitarian-and-instrumentalist-concepts-for-the-teaching-of-gross-anatomy-to-medical-and-dental-students-an-opinion-piece
#12
Bernard J Moxham, Diogo Pais
Medical and dental curricula, together with anatomical sciences courses, are increasingly having to change, mainly because there is a drive to being what is termed, without adequate definition, 'clinically relevant'. The concept of 'clinical anatomy' has accordingly been invented and it is expected that, at all times, the teaching of anatomy is directly focussed on clinical scenarios, meaning almost invariably the 'disease-based model of medicine and dentistry'. Furthermore, students are not expected to have a detailed knowledge of gross anatomy and the time devoted to teaching and learning the subject has decreased significantly...
July 16, 2017: Clinical Anatomy
https://www.readbyqxmd.com/read/28714184/research-review-what-have-we-learned-about-adolescent-substance-use
#13
REVIEW
Kevin M Gray, Lindsay M Squeglia
BACKGROUND: Adolescence is a critical biological, psychological, and social developmental stage involving heightened risk for substance use and associated adverse consequences. This review, synthesizing emerging findings on this complex topic, is intended to inform research and clinical care focused on adolescents. METHODS: Literature searches were conducted using PubMed, yielding a cross-section of observational and interventional studies focused on adolescent substance use...
July 17, 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28712748/chi-a-contemporaneous-health-index-for-degenerative-disease-monitoring-using-longitudinal-measurements
#14
Yijun Huang, Qiang Meng, Heather Evans, William Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang
In this paper, we develop a novel formulation for contemporaneous patient risk monitoring by exploiting the emerging data-rich environment in many healthcare applications, where an abundance of longitudinal data that reflect the degeneration of the health condition can be continuously collected. Our objective, and the developed formulation, is fundamentally different from many existing risk score models for different healthcare applications, which mostly focus on predicting the likelihood of a certain outcome at a pre-specified time...
July 13, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28708559/texture-characterization-using-shape-co-occurrence-patterns
#15
Gui-Song Xia, Gang Liu, Xiang Bai, Liangpei Zhang
Texture characterization is a key problem in image understanding and pattern recognition. In this paper, we present a flexible shape-based texture representation using shape co-occurrence patterns. More precisely, texture images are first represented by a tree of shapes, each of which is associated with several geometrical and radiometric attributes. Then, four typical kinds of shape co-occurrence patterns based on the hierarchical relationships among the shapes in the tree are learned as codewords. Three different coding methods are investigated for learning the codewords, which can be used to encode any given texture image into a descriptive vector...
July 12, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28708556/deep-learning-on-sparse-manifolds-for-faster-object-segmentation
#16
Jacinto C Nascimento, Gustavo Carneiro
We propose a new combination of deep belief networks and sparse manifold learning strategies for the 2D segmentation of non-rigid visual objects. With this novel combination, we aim to reduce the training and inference complexities while maintaining the accuracy of machine learning based non-rigid segmentation methodologies. Typical non-rigid object segmentation methodologies divide the problem into a rigid detection followed by a non-rigid segmentation, where the low dimensionality of the rigid detection allows for a robust training (i...
July 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28708554/distance-metric-learning-via-iterated-support-vector-machines
#17
Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, Lei Zhang
Distance metric learning aims to learn from the given training data a valid distance metric, with which the similarity between data samples can be more effectively evaluated for classification. Metric learning is often formulated as a convex or nonconvex optimization problem, while most existing methods are based on customized optimizers and become inefficient for large scale problems. In this paper, we formulate metric learning as a kernel classification problem with the positive semi-definite constraint, and solve it by iterated training of support vector machines (SVMs)...
July 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28707953/neural-correlates-of-visual-memory-in-patients-with-diffuse-axonal-injury
#18
Juliane Lauer, Laura Moreno-López, Anne Manktelow, Ellen L Carroll, Joanne G Outtrim, Jonathan P Coles, Virginia F Newcombe, Barbara J Sahakian, David K Menon, Emmanuel A Stamatakis
PRIMARY OBJECTIVE: To investigate the neural substrates of visual memory in a sample of patients with traumatic brain injury (TBI). We hypothesized that patients with decreased grey and white matter volume in frontal and parietal cortices as well as medial temporal and occipital lobes would perform poorly on the tests of visual memory analysed. METHODS AND PROCEDURES: 39 patients and 53 controls were assessed on tests of visual memory and learning from the Cambridge Neuropsychological Test Automated Battery (CANTAB)...
July 14, 2017: Brain Injury: [BI]
https://www.readbyqxmd.com/read/28707636/implementation-and-evaluation-of-a-patient-safety-course-in-a-problem-based-learning-program
#19
Sarah Ahmed Eltony, Nahla Hassan El-Sayed, Shimaa El-Sayed El-Araby, Salah Eldin Kassab
BACKGROUND: Since the development of the WHO patient safety curriculum guide, there has been insufficient reporting regarding the implementation and evaluation of patient safety courses in undergraduate problem-based learning (PBL) programs. This study is designed to implement a patient safety course to undergraduate students in a PBL medical school and evaluate this course by examining its effects on students' knowledge and satisfaction. METHODS: The target population included year 6 medical students (n = 71) at the Faculty of Medicine, Suez Canal University in Egypt...
January 2017: Education for Health: Change in Training & Practice
https://www.readbyqxmd.com/read/28707630/how-innovative-and-conventional-curricula-prepare-medical-students-for-practice-in-sub-saharan-africa-a-comparative-study-from-mozambique
#20
Janneke M Frambach, Beatriz A F Manuel, Afonso M T Fumo, Bernard Groosjohan, Cees P M Van Der Vleuten, Erik W Driessen
BACKGROUND: Medical education in Sub-Saharan Africa is in need of reform to promote the number and quality of physicians trained. Curriculum change and innovation in this region, however, face a challenging context that may affect curriculum outcomes. Research on outcomes of curriculum innovation in Sub-Saharan Africa is scarce. We investigated curriculum outcomes in a Sub-Saharan African context by comparing students' perceived preparedness for practice within three curricula in Mozambique: a conventional curriculum and two innovative curricula...
January 2017: Education for Health: Change in Training & Practice
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