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https://www.readbyqxmd.com/read/28822641/clinical-and-radiographic-outcomes-with-assessment-of-the-learning-curve-in-arthroscopically-assisted-latissimus-dorsi-tendon-transfer-for-irreparable-posterosuperior-rotator-cuff-tears
#1
Kotaro Yamakado
PURPOSE: To evaluate the clinical results of an arthroscopy-assisted latissimus dorsi tendon transfer (aLD) for irreparable posterosuperior cuff tears as a primary surgery. The secondary aim of this study was to quantify the learning curve using the log-linear model. We hypothesized that aLD significantly improved shoulder function and that there was consistent reduction of the operative time in support of a learning-curve effect. METHODS: After the arthroscopic partial repair was completed, the latissimus dorsi tendon was harvested via axillary mini-open incision and fixed with a knotless anchor arthroscopically...
August 16, 2017: Arthroscopy: the Journal of Arthroscopic & related Surgery
https://www.readbyqxmd.com/read/28821786/co-registration-of-ex-vivo-surgical-histopathology-and-in-vivo-t2-weighted-mri-of-the-prostate-via-multi-scale-spectral-embedding-representation
#2
Lin Li, Shivani Pahwa, Gregory Penzias, Mirabela Rusu, Jay Gollamudi, Satish Viswanath, Anant Madabhushi
Multi-modal image co-registration via optimizing mutual information (MI) is based on the assumption that intensity distributions of multi-modal images follow a consistent relationship. However, images with a substantial difference in appearance violate this assumption, thus MI directly based on image intensity alone may be inadequate to drive similarity based co-registration. To address this issue, we introduce a novel approach for multi-modal co-registration called Multi-scale Spectral Embedding Registration (MSERg)...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819513/strengthening-and-expanding-the-capacity-of-health-worker-education-in-zambia
#3
Charles Michelo, Joseph Mumba Zulu, Moses Simuyemba, Benjamin Andrews, Max Katubulushi, Benjamin Chi, Evariste Njelesani, Bellington Vwalika, Kasonde Bowa, Margaret Maimbolwa, James Chipeta, Fastone Goma, Selestine Nzala, Sekelani Banda, John Mudenda, Yusuf Ahmed, Lotti Hachambwa, Craig Wilson, Sten Vermund, Yakub Mulla
INTRODUCTION: Zambia is facing a chronic shortage of health care workers. The paper aimed at understanding how the Medical Education Partnership Initiative (MEPI) program facilitated strengthening and expanding of the national capacity and quality of medical education as well as processes for retaining faculty in Zambia. METHODS: Data generated through documentary review, key informant interviews and observations were analyzed using a thematic approach. RESULTS: The MEPI program triggered the development of new postgraduate programs thereby increasing student enrollment...
2017: Pan African Medical Journal
https://www.readbyqxmd.com/read/28816524/from-the-abstract-to-the-concrete-implementation-of-an-innovative-tool-in-home-care
#4
Anu Kajamaa, Klaus-Peter Schulz
Background The implementation of innovations in practice is a critical factor for change and development processes in health and home care. We therefore analyze how an innovative tool - a mobility agreement to maintain physical mobility of home care clients - was implemented in Finnish home care. Methods Our study involves ethnographic research of 13 home care visits, two years after the mobility agreement was implemented. We analyze the emergence of contradictions, the motives of the actors and the use of artifacts supporting or inhibiting the implementation...
January 1, 2017: Health Services Management Research
https://www.readbyqxmd.com/read/28815145/evolving-research-data-sharing-networks-to-clinical-app-sharing-networks
#5
Kavishwar B Wagholikar, Rahul Jain, Eliel Oliveira, Joshua Mandel, Jeffery Klann, Ricardo Colas, Prasad Patil, Kuladip Yadav, Kenneth D Mandl, Thomas Carton, Shawn N Murphy
Research networks for data sharing are growing into a large platform for pragmatic clinical trials to generate quality evidence for shared medical decision-making. Institutions partnering in the networks have made large investments in developing the infrastructure for sharing data. We investigate whether institutions partnering on Patient-Centered Outcomes Research Institute's (PCORI) network can share clinical apps. At two different sites, we imported patient data in PCORI's clinical data model (CDM) format into i2b2 repositories, and adapted the SMART-on-FHIR cell to perform CDM-to-FHIR translation, serving demographics, laboratory results and diagnoses...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28813643/multi-connection-pattern-analysis-decoding-the-representational-content-of-neural-communication
#6
Yuanning Li, R Mark Richardson, Avniel Singh Ghuman
The lack of multivariate methods for decoding the representational content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection Pattern Analysis (MCPA), which works by learning mappings between the activity patterns of the populations as a factor of the information being processed. These maps are used to predict the activity from one neural population based on the activity from the other population...
August 13, 2017: NeuroImage
https://www.readbyqxmd.com/read/28810112/patient-and-physician-perceptions-of-genetic-testing-in-primary-care
#7
Samuel A Evenson, H Eugene Hoyme, Jan E Haugen-Rogers, Eric A Larson, Susan E Puumala
INTRODUCTION: The convergence of biomedical informatics and translational genomics is changing the way we practice. Primary care will play a pivotal role in this transformation. We therefore sought to assess general knowledge about genetic testing among outpatient internal medicine providers, and the patients that they serve across a five state region in the Midwest. METHODS: One thousand take-home paper surveys were created and distributed to internal medicine patients at 13 Midwestern clinics...
November 2016: South Dakota Medicine: the Journal of the South Dakota State Medical Association
https://www.readbyqxmd.com/read/28809695/looking-beyond-the-simple-scenarios-combining-learners-and-optimizers-in-3d-temporal-tracking
#8
David Joseph Tan, Nassir Navab, Federico Tombari
3D object temporal trackers estimate the 3D rotation and 3D translation of a rigid object by propagating the transformation from one frame to the next. To confront this task, algorithms either learn the transformation between two consecutive frames or optimize an energy function to align the object to the scene. The motivation behind our approach stems from a consideration on the nature of learners and optimizers. Throughout the evaluation of different types of objects and working conditions, we observe their complementary nature-on one hand, learners are more robust when undergoing challenging scenarios, while optimizers are prone to tracking failures due to the entrapment at local minima; on the other, optimizers can converge to a better accuracy and minimize jitter...
August 10, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28809588/applying-adult-development-theories-to-improvement-science
#9
Sofia Kjellström, Ann-Christine Andersson
Purpose The purpose of this paper is to address how adult development (AD) theories can contribute to quality improvement (QI). Design/methodology/approach A theoretical analysis and discussion on how personal development empirical findings can relate to QI and Deming's four improvement knowledge domains. Findings AD research shows that professionals have qualitatively diverse ways of meaning-making and ways to approach possibilities in improvement efforts. Therefore, professionals with more complex meaning-making capacities are needed to create successful transformational changes and learning, with the recognition that system knowledge is a developmental capacity...
August 14, 2017: International Journal of Health Care Quality Assurance
https://www.readbyqxmd.com/read/28809183/helping-hands-using-augmented-reality-to-provide-remote-guidance-to-health-professionals
#10
Carey Mather, Tony Barnett, Vlasti Broucek, Annette Saunders, Darren Grattidge, Weidong Huang
Access to expert practitioners or geographic distance can compound the capacity for appropriate supervision of health professionals in the workplace. Guidance and support of clinicians and students to undertake new or infrequent procedures can be resource intensive. The Helping Hands remote augmented reality system is an innovation to support the development of, and oversee the acquisition of procedural skills through remote learning and teaching supervision while in clinical practice. Helping Hands is a wearable, portable, hands-free, low cost system comprised of two networked laptops, a head-mounted display worn by the recipient and a display screen used remotely by the instructor...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28803518/a-feminist-intervention-that-hurt-women-biological-differences-ergonomics-and-occupational-health-une-intervention-f%C3%A3-ministe-qui-a-nui-aux-femmes-diff%C3%A3-rences-biologiques-%C3%A3-galit%C3%A3-ergonomie-et-sant%C3%A3-au-travail
#11
Karen Messing
The University of Québec in Montréal has agreements with trade unions providing access to university resources. Researchers involved in this program worked in partnership with union women's and health and safety committees for more than twenty years. Not all studies succeeded in improving women's working conditions. One joint project involved observational studies of tasks done by health-care workers, complemented by interviews and questionnaires. We found that task assignments, movements, postures, and work-related musculoskeletal disorders varied by gender/sex and made recommendations for change...
January 1, 2017: New Solutions: a Journal of Environmental and Occupational Health Policy: NS
https://www.readbyqxmd.com/read/28802339/family-involvement-in-quality-improvement-from-bedside-advocate-to-system-advisor
#12
REVIEW
Joanna F Celenza, Denise Zayack, Madge E Buus-Frank, Jeffrey D Horbar
Family involvement in newborn intensive care quality improvement dates back to the 1980s. In recent years, there has been an evolution of support for family partnerships at the bedside, transforming parents from being passively present to being active and engaged caregivers and team members. Through those same efforts, a transformational understanding of the power of the family perspective in system design and improvement has occurred. Even with the progression and deepening of this involvement, opportunities exist to learn from families and to improve the quality of neonatal care as a result of the unique family perspective...
September 2017: Clinics in Perinatology
https://www.readbyqxmd.com/read/28802103/where-you-are-affects-what-you-can-easily-imagine-environmental-geometry-elicits-sensorimotor-interference-in-remote-perspective-taking
#13
Bernhard E Riecke, Timothy P McNamara
Imagined perspective switches are notoriously difficult, a fact often ascribed to sensorimotor interference between one's to-be-imagined versus actual orientation. Here, we demonstrate similar interference effects, even if participants know they are in a remote environment with unknown spatial relation to the learning environment. Participants learned 15 target objects irregularly arranged in an office from one orientation (0°, 120°, or 240°). Participants were blindfolded and disoriented before being wheeled to a test room of similar geometry (exp...
August 9, 2017: Cognition
https://www.readbyqxmd.com/read/28801273/building-concepts-one-episode-at-a-time-the-hippocampus-and-concept-formation
#14
REVIEW
Michael L Mack, Bradley C Love, Alison R Preston
Concepts organize our experiences and allow for meaningful inferences in novel situations. Acquiring new concepts requires extracting regularities across multiple learning experiences, a process formalized in mathematical models of learning. These models posit a computational framework that has increasingly aligned with the expanding repertoire of functions associated with the hippocampus. Here, we propose the Episodes-to-Concepts (EpCon) theoretical model of hippocampal function in concept learning and review evidence for the hippocampal computations that support concept formation including memory integration, attentional biasing, and memory-based prediction error...
August 8, 2017: Neuroscience Letters
https://www.readbyqxmd.com/read/28799130/near-set-based-mucin-segmentation-in-histopathology-images-for-detecting-mucinous-carcinoma
#15
Soma Banerjee, Monjoy Saha, Indu Arun, Bijan Basak, Sanjit Agarwal, Rosina Ahmed, Sanjoy Chatterjee, Lipi B Mahanta, Chandan Chakraborty
This paper introducesnear-set based segmentation method for extraction and quantification of mucin regions for detecting mucinouscarcinoma (MC which is a sub type of Invasive ductal carcinoma (IDC)). From histology point of view, the presence of mucin is one of the indicators for detection of this carcinoma. In order to detect MC, the proposed method majorly includes pre-processing by colour correction, colour transformation followed by near-set based segmentation and post-processing for delineating only mucin regions from the histological images at 40×...
August 10, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28796611/simultaneous-local-binary-feature-learning-and-encoding-for-homogeneous-and-heterogeneous-face-recognition
#16
Jiwen Lu, Venice Erin Liong, Jie Zhou
In this paper, we propose a simultaneous local binary feature learning and encoding (SLBFLE) approach for both homogeneous and heterogeneous face recognition. Unlike existing hand-crafted face descriptors such as local binary pattern (LBP) and Gabor features which usually require strong prior knowledge, our SLBFLE is an unsupervised feature learning approach which automatically learns face representation from raw pixels. Unlike existing binary face descriptors such as the LBP, discriminant face descriptor (DFD), and compact binary face descriptor (CBFD) which use a two-stage feature extraction procedure, our SLBFLE jointly learns binary codes and the codebook for local face patches so that discriminative information from raw pixels from face images of different identities can be obtained by using a one-stage feature learning and encoding procedure...
August 9, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28792570/-the-global-model-of-public-mental-health-and-recovery-mentors
#17
Jean-François Pelletier, Émilie Auclair
Objectives The aim of this paper is to revisit the Global Model of Public Mental Health (GMPMH) in light of the 4th Civic Forum. Recovery mentors of the University of Recovery chaired this public event, which was held in East-end Montreal, Canada, in 2016. The University of Recovery is a concept of co-learning among its members.Methods Being able to refer to international conventions and human rights standards is a key component of a genuine global approach that is supportive of individuals and communities in their quest for recovery and full citizenship...
2017: Santé Mentale Au Québec
https://www.readbyqxmd.com/read/28792503/multi-scale-encoding-of-amino-acid-sequences-for-predicting-protein-interactions-using-gradient-boosting-decision-tree
#18
Chang Zhou, Hua Yu, Yijie Ding, Fei Guo, Xiu-Jun Gong
Nowadays a number of computational approaches have been developed to effectively and accurately predict protein interactions. However, most of these methods typically perform worse when other biological data sources (e.g., protein structure information, protein domains, or gene neighborhoods information) are not available. In the present work, we propose a method for predicting protein interactions making full use of physicochemical characteristics of amino acids. A protein sequence is encoded at multi-scale by seven properties, including their qualitative and quantitative descriptions, of amino acids...
2017: PloS One
https://www.readbyqxmd.com/read/28792296/developmental-benefits-of-extracurricular-sports-participation-among-brazilian-youth
#19
Riller S Reverdito, Larissa R Galatti, Humberto M Carvalho, Alcides J Scaglia, Jean Côté, Carlos E Gonçalves, Roberto R Paes
Youth sporting activities have been explored as a way to impact positive personal transformation and development, glaringly demonstrated by world-wide investments in public policies, programs, and projects. We studied positive effects of participation in sports on the developmental assets of 614 adolescents (13.1 ± 1.7 years) actively engaged in extracurricular sport programs targeted at socially disadvantaged youths, from five municipalities across five states of the southern, south-eastern and north-eastern regions of Brazil...
January 1, 2017: Perceptual and Motor Skills
https://www.readbyqxmd.com/read/28783654/discriminative-transformation-learning-for-fuzzy-sparse-subspace-clustering
#20
Zaidao Wen, Biao Hou, Qian Wu, Licheng Jiao
This paper develops a novel iterative framework for subspace clustering (SC) in a learned discriminative feature domain. This framework consists of two modules of fuzzy sparse SC and discriminative transformation learning. In the first module, fuzzy latent labels containing discriminative information and latent representations capturing the subspace structure will be simultaneously evaluated in a feature domain. Then the linear transforming operator with respect to the feature domain will be successively updated in the second module with the advantages of more discrimination, subspace structure preservation, and robustness to outliers...
August 2, 2017: IEEE Transactions on Cybernetics
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