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Training performance modeling

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https://www.readbyqxmd.com/read/28749364/bayesian-random-vector-functional-link-networks-for-robust-data-modeling
#1
Simone Scardapane, Dianhui Wang, Aurelio Uncini
Random vector functional-link (RVFL) networks are randomized multilayer perceptrons with a single hidden layer and a linear output layer, which can be trained by solving a linear modeling problem. In particular, they are generally trained using a closed-form solution of the (regularized) least-squares approach. This paper introduces several alternative strategies for performing full Bayesian inference (BI) of RVFL networks. Distinct from standard or classical approaches, our proposed Bayesian training algorithms allow to derive an entire probability distribution over the optimal output weights of the network, instead of a single pointwise estimate according to some given criterion (e...
July 25, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28749346/attribute-and-or-grammar-for-joint-parsing-of-human-pose-parts-and-attributes
#2
Seyoung Park, Xiaohan Nie, Song-Chun Zhu
This paper presents an attribute and-or grammar (A-AOG) model for jointly inferring human body pose and human attributes in a parse graph with attributes augmented to nodes in the hierarchical representation. In contrast to other popular methods in the current literature that train separate classifiers for poses and individual attributes, our method explicitly represents the decomposition and articulation of body parts, and account for the correlations between poses and attributes. The A-AOG model is an amalgamation of three traditional grammar formulations: (i)Phrase structure grammar representing the hierarchical decomposition of the human body from whole to parts; (ii)Dependency grammar modeling the geometric articulation by a kinematic graph of the body pose; and (iii)Attribute grammar accounting for the compatibility relations between different parts in the hierarchy so that their appearances follow a consistent style...
July 25, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28748384/the-more-vivid-the-imagination-the-better-the-role-of-the-vividness-of-imagination-in-vasoconstriction-training-and-vasodilatation-training
#3
Julia E Graef, Winfried Rief, Yvonne Nestoriuc, Cornelia Weise
Blood volume pulse biofeedback represents an effective non-pharmacological treatment for migraine. However, the underlying mechanisms of blood volume pulse biofeedback are still unclear. This study investigated the influence of vividness of imagination, private body consciousness, perfectionism, and general self-efficacy on physiological (blood volume pulse amplitude) and psychological (session performance rated by participants and by trainers) success. Changes in skin conductance and skin temperature indicating habituation to training context were examined...
July 26, 2017: Applied Psychophysiology and Biofeedback
https://www.readbyqxmd.com/read/28746084/epidemiology-and-location-of-primary-retrieval-missions-in-a-scottish-aeromedical-service
#4
Gregg Neagle, Lisa Curatolo, John Ferris, Mike Donald, Stephen Hearns, Alasdair R Corfield
INTRODUCTION: Prehospital critical care teams comprising an appropriately trained physician and paramedic or nurse have been associated with improved outcomes in selected trauma patients. These teams are a scarce and expensive resource, especially when delivered by rotary air assets. The optimal tasking of prehospital critical care teams is therefore vital and remains a subject of debate. Emergency Medical Retrieval Service (EMRS) provides a prehospital critical care response team to incidents over a large area of Scotland either by air or by road...
July 25, 2017: European Journal of Emergency Medicine: Official Journal of the European Society for Emergency Medicine
https://www.readbyqxmd.com/read/28746071/toward-a-utopian-model-for-teaching-and-nonteaching-services-every-journey-begins-with-a-first-step
#5
Lisa M Bellini, Jack Ende
Nonteaching services are an imperfect step toward enabling inpatient teaching services to transition from an unregulated, natural state, driven solely by the exigencies of patient volume and throughput, to one that is more controlled and intends to achieve the proper balance between service and education. As career educators the authors prefer to view nonteaching services as critical components of an integrated system that enables the best possible patient care and learning, yet they acknowledge that, to meet the needs of patients and learners, teaching and nonteaching services alike must be truly complementary, collaborative, and integrated components of a single system...
July 25, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28745472/effect-of-eight-weeks-of-upper-body-plyometric-training-during-the-competitive-season-on-professional-female-volleyball-players
#6
David Valades, José M Palao, Pedro Femia, Aurelio Ureña
BACKGROUND: The purpose of this study was to assess the effect of incorporating specific upper-body plyometric training for the spike into the competitive season of a women's professional volleyball team. METHODS: A professional team from the Spanish first division participated in the study. An A-B-A' quasi-experimental design with experimental and control groups was used. The independent variable was the upper-body plyometric training for eight weeks during the competitive season...
July 25, 2017: Journal of Sports Medicine and Physical Fitness
https://www.readbyqxmd.com/read/28744926/structural-empowerment-and-burnout-among-portuguese-nursing-staff-an-explicative-model
#7
Alejandro Orgambídez-Ramos, Yolanda Borrego-Alés, Octavio Vázquez-Aguado, Jaume March-Amegual
AIMS: Kanter's structural empowerment model was used to assess the influence of access to opportunities, resources, information and support on core burnout through global empowerment in a nursing sample in Portugal. BACKGROUND: The empowerment experience increases the levels of nursing professionals' satisfaction and performance preventing the emergence of burnout. However, the relationship between structural empowerment and burnout has been scarcely studied in Portugal...
July 25, 2017: Journal of Nursing Management
https://www.readbyqxmd.com/read/28744901/input-and-age-dependent-variation-in-second-language-learning-a-connectionist-account
#8
Marius Janciauskas, Franklin Chang
Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we reanalyzed grammaticality judgment scores in Flege, Yeni-Komshian, and Liu's (1999) study of L2 learners using rule-related predictors and found that, in addition to the overall drop in performance due to a sensitive period, L2 knowledge increased with years of input...
July 26, 2017: Cognitive Science
https://www.readbyqxmd.com/read/28744863/classification-of-changes-occurring-in-lung-patient-during-radiotherapy-using-relative-%C3%AE-analysis-and-hidden-markov-models
#9
Nicolas Varfalvy, Ophelie Piron, Marc François Cyr, Anne Dagnault, Louis Archambault
PURPOSE: to present a new automated patient classification method based on relative gamma analysis and hidden Markov models (HMM) to identify patients undergoing important anatomical changes during radiation therapy. METHODS: daily EPID images of every treatment field were acquired for 52 patients treated for lung cancer. In addition, CBCT were acquired on a regular basis. Gamma analysis was performed relative to the first fraction given that no significant anatomical change was observed on the CBCT of the first fraction compared to the planning CT...
July 26, 2017: Medical Physics
https://www.readbyqxmd.com/read/28742733/intravoxel-incoherent-motion-model-free-determination-of-tissue-type-in-abdominal-organs-using-machine-learning
#10
Alexander Ciritsis, Cristina Rossi, Moritz C Wurnig, Valerie Phi Van, Andreas Boss
PURPOSE: For diffusion data sets including low and high b-values, the intravoxel incoherent motion model is commonly applied to characterize tissue. The aim of the present study was to show that machine learning allows a model-free approach to determine tissue type without a priori assumptions on the underlying physiology. MATERIALS AND METHODS: In 8 healthy volunteers, diffusion data sets were acquired using an echo-planar imaging sequence with 16 b-values in the range between 0 and 1000 s/mm...
July 24, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28742711/readiness-of-us-general-surgery-residents-for-independent-practice
#11
Brian C George, Jordan D Bohnen, Reed G Williams, Shari L Meyerson, Mary C Schuller, Michael J Clark, Andreas H Meier, Laura Torbeck, Samuel P Mandell, John T Mullen, Douglas S Smink, Rebecca E Scully, Jeffrey G Chipman, Edward D Auyang, Kyla P Terhune, Paul E Wise, Jennifer N Choi, Eugene F Foley, Justin B Dimick, Michael A Choti, Nathaniel J Soper, Keith D Lillemoe, Joseph B Zwischenberger, Gary L Dunnington, Debra A DaRosa, Jonathan P Fryer
OBJECTIVE: This study evaluates the current state of the General Surgery (GS) residency training model by investigating resident operative performance and autonomy. BACKGROUND: The American Board of Surgery has designated 132 procedures as being "Core" to the practice of GS. GS residents are expected to be able to safely and independently perform those procedures by the time they graduate. There is growing concern that not all residents achieve that standard. Lack of operative autonomy may play a role...
July 24, 2017: Annals of Surgery
https://www.readbyqxmd.com/read/28742028/semantic-object-segmentation-in-tagged-videos-via-detection
#12
Yu Zhang, Xiaowu Chen, Jia Li, Chen Wang, Changqun Xia, Jun Li
Semantic object segmentation (SOS) is a challenging task in computer vision that aims to detect and segment all pixels of the objects within predefined semantic categories. In image-based SOS, many supervised models have been proposed and achieved impressive performances due to the rapid advances of well-annotated training images and machine learning theories. However, in video-based SOS it is often difficult to directly train a supervised model since most videos are weakly annotated by tags. To handle such tagged videos, this paper proposes a novel approach that adopts a segmentation-by-detection framework...
July 20, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28740664/development-of-a-novel-ex-vivo-porcine-laparoscopic-heller-myotomy-and-nissen-fundoplication-training-model-toronto-lap-nissen-simulator
#13
Hideki Ujiie, Tatsuya Kato, Hsin-Pei Hu, Patrycja Bauer, Priya Patel, Hironobu Wada, Daiyoon Lee, Kosuke Fujino, Colin Schieman, Andrew Pierre, Thomas K Waddell, Shaf Keshavjee, Gail E Darling, Kazuhiro Yasufuku
BACKGROUND: Surgical trainees are required to develop competency in a variety of laparoscopic operations. Developing laparoscopic technical skills can be difficult as there has been a decrease in the number of procedures performed. This study aims to develop an inexpensive and anatomically relevant model for training in laparoscopic foregut procedures. METHODS: An ex vivo, anatomic model of the human upper abdomen was developed using intact porcine esophagus, stomach, diaphragm and spleen...
June 2017: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/28738109/are-glucose-and-insulin-metabolism-and-diabetes-associated-with-migraine-a-community-based-case-control-study
#14
Xin Wang, Xin Li, YanBo Diao, ShuHan Meng, YuHang Xing, HaiBo Zhou, Dan Yang, JiaMei Sun, Hong Chen, YaShuang Zhao
AIMS: To investigate the association between glucose and insulin metabolism and migraine, as well as between diabetes mellitus (DM) and migraine, at a Chinese community level. METHODS: A community-based, case-control study was performed in Heihe City, China. A survey was conducted door to door by eight trained investigators. Migraine was diagnosed using the International Classification of Headache Disorders (ICHD-III) beta criteria. A total of 2,023 participants completed a questionnaire, underwent a physical examination, and donated fasting blood...
July 2017: Journal of Oral & Facial Pain and Headache
https://www.readbyqxmd.com/read/28737882/-training-of-resident-physicians-in-the-recognition-and-treatment-of-an-anaphylaxis-case-in-pediatrics-with-simulation-models
#15
Diego Enríquez, María J Lamborizio, Lorena Firenze, María de la P Jaureguizar, Estanislao Díaz Pumará, Edgardo Szyld
OBJETIVE: To evaluate the performance of resident physicians in diagnosing and treating a case of anaphylaxis, six months after participating in simulation training exercises. METHODS: Initially, a group of pediatric residents were trained using simulation techniques in the management of critical pediatric cases. Based on their performance in this exercise, participants were assigned to one of 3 groups. At six months post-training, 4 residents were randomly chosen from each group to be re-tested, using the same performance measure as previously used...
August 1, 2017: Archivos Argentinos de Pediatría
https://www.readbyqxmd.com/read/28736569/deep-plant-phenomics-a-deep-learning-platform-for-complex-plant-phenotyping-tasks
#16
Jordan R Ubbens, Ian Stavness
Plant phenomics has received increasing interest in recent years in an attempt to bridge the genotype-to-phenotype knowledge gap. There is a need for expanded high-throughput phenotyping capabilities to keep up with an increasing amount of data from high-dimensional imaging sensors and the desire to measure more complex phenotypic traits (Knecht et al., 2016). In this paper, we introduce an open-source deep learning tool called Deep Plant Phenomics. This tool provides pre-trained neural networks for several common plant phenotyping tasks, as well as an easy platform that can be used by plant scientists to train models for their own phenotyping applications...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28736468/multi-atlas-spleen-segmentation-on-ct-using-adaptive-context-learning
#17
Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G Abramson, Bennett A Landman
Automatic spleen segmentation on CT is challenging due to the complexity of abdominal structures. Multi-atlas segmentation (MAS) has shown to be a promising approach to conduct spleen segmentation. To deal with the substantial registration errors between the heterogeneous abdominal CT images, the context learning method for performance level estimation (CLSIMPLE) method was previously proposed. The context learning method generates a probability map for a target image using a Gaussian mixture model (GMM) as the prior in a Bayesian framework...
February 11, 2017: Proceedings of SPIE
https://www.readbyqxmd.com/read/28736288/rapid-decay-of-transthoracic-echocardiography-skills-at-1-month-a-prospective-observational-study
#18
Ryo Yamamoto, David Clanton, Ross E Willis, Rachelle Babbitt Jonas, Ramon F Cestero
OBJECTIVE: Focused transthoracic echocardiography (FTTE) is an emerging tool in the management of critically ill patients, but the lack of adequate training models has limited the expansion of this technology. Although basic FTTE training courses have been shown to be sufficient in developing echocardiography skills, limited data exist regarding skill retention. In an effort to develop an adequate FTTE training model, we sought to determine the degree of skill retention after FTTE training...
July 20, 2017: Journal of Surgical Education
https://www.readbyqxmd.com/read/28735602/skill-sharing-and-delegation-practice-in-two-queensland-regional-allied-health-cancer-care-services-a-comparison-of-tasks
#19
Juanine Passfield, Ilsa Nielsen, Neil Brebner, Cara Johnstone
Objective Delegation and skill sharing are emerging service strategies for allied health (AH) professionals working in Queensland regional cancer care services. The aim of the present study was to describe the consistency between two services for the types and frequency of tasks provided and the agreement between teams in the decision to delegate or skill share clinical tasks, thereby determining the potential applicability to other services.Methods Datasets provided by two similar services were collated. Descriptive statistical analyses were used to assess the extent of agreement...
July 24, 2017: Australian Health Review: a Publication of the Australian Hospital Association
https://www.readbyqxmd.com/read/28734530/joint-optic-disc-and-cup-boundary-extraction-from-monocular-fundus-images
#20
Arunava Chakravarty, Jayanthi Sivaswamy
BACKGROUND AND OBJECTIVE: Accurate segmentation of optic disc and cup from monocular color fundus images plays a significant role in the screening and diagnosis of glaucoma. Though optic cup is characterized by the drop in depth from the disc boundary, most existing methods segment the two structures separately and rely only on color and vessel kink based cues due to the lack of explicit depth information in color fundus images. METHODS: We propose a novel boundary-based Conditional Random Field formulation that extracts both the optic disc and cup boundaries in a single optimization step...
August 2017: Computer Methods and Programs in Biomedicine
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