keyword
MENU ▼
Read by QxMD icon Read
search

Operant learning

keyword
https://www.readbyqxmd.com/read/29222630/-there-s-so-much-to-it-the-ways-physiotherapy-students-and-recent-graduates-experience-practice
#1
S Barradell, T Peseta, S Barrie
Health science courses aim to prepare students for the demands of their chosen profession by learning ways appropriate to that profession and the contexts they will work and live in. Expectations of what students should learn become re-contextualised and translated into entry-level curriculum, with students operating as a connection between what is intended and enacted in curriculum, and required in the real world. Drawing on phenomenology, this paper explores how students understand practice-the collective, purposeful knowing, doing and being of a community-in entry-level physiotherapy programs...
December 8, 2017: Advances in Health Sciences Education: Theory and Practice
https://www.readbyqxmd.com/read/29222076/adverse-drug-event-discovery-using-biomedical-literature-a-big-data-neural-network-adventure
#2
Ahmad P Tafti, Jonathan Badger, Eric LaRose, Ehsan Shirzadi, Andrea Mahnke, John Mayer, Zhan Ye, David Page, Peggy Peissig
BACKGROUND: The study of adverse drug events (ADEs) is a tenured topic in medical literature. In recent years, increasing numbers of scientific articles and health-related social media posts have been generated and shared daily, albeit with very limited use for ADE study and with little known about the content with respect to ADEs. OBJECTIVE: The aim of this study was to develop a big data analytics strategy that mines the content of scientific articles and health-related Web-based social media to detect and identify ADEs...
December 8, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29221742/early-experience-with-robotic-mitral-valve-repair-with-intra-aortic-occlusion
#3
Risto Kesävuori, Peter Raivio, Janne J Jokinen, Antero Sahlman, Kari Teittinen, Antti Vento
OBJECTIVE: To report the learning curve and early results of robotic mitral valve repairs in comparison with propensity score-matched sternotomy controls after the adoption of a robotic mitral valve surgery program in a university teaching hospital. METHODS: A total of 142 patients underwent robotic mitral valve repair due to degenerative mitral regurgitation between May 2011 and December 2015. Control patients operated on via the conventional sternotomy approach were selected by the use of propensity score analysis resulting in 2 well-matched study groups...
December 5, 2017: Journal of Thoracic and Cardiovascular Surgery
https://www.readbyqxmd.com/read/29220407/respiratory-resistance-and-reactance-in-adults-with-sickle-cell-anemia-correlation-with-functional-exercise-capacity-and-diagnostic-use
#4
Cirlene de Lima Marinho, Maria Christina Paixão Maioli, Jorge Luis Machado do Amaral, Agnaldo José Lopes, Pedro Lopes de Melo
BACKGROUND: The improvement in sickle cell anemia (SCA) care resulted in the emergence of a large population of adults living with this disease. The mechanisms of lung injury in this new population are largely unknown. The forced oscillation technique (FOT) represents the current state-of-the-art in the assessment of lung function. The present work uses the FOT to improve our knowledge about the respiratory abnormalities in SCA, evaluates the associations of FOT with the functional exercise capacity and investigates the early detection of respiratory abnormalities...
2017: PloS One
https://www.readbyqxmd.com/read/29220305/spiking-neural-classifier-with-lumped-dendritic-nonlinearity-and-binary-synapses-a-current-mode-vlsi-implementation-and-analysis
#5
Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu
We present a neuromorphic current mode implementation of a spiking neural classifier with lumped square law dendritic nonlinearity. It has been shown previously in software simulations that such a system with binary synapses can be trained with structural plasticity algorithms to achieve comparable classification accuracy with fewer synaptic resources than conventional algorithms. We show that even in real analog systems with manufacturing imperfections (CV of 23.5% and 14.4% for dendritic branch gains and leaks respectively), this network is able to produce comparable results with fewer synaptic resources...
December 8, 2017: Neural Computation
https://www.readbyqxmd.com/read/29218403/the-storage-and-recall-of-memories-in-the-hippocampo-cortical-system
#6
REVIEW
Edmund T Rolls
A quantitative computational theory of the operation of the hippocampus as an episodic memory system is described. The CA3 system operates as a single attractor or autoassociation network (1) to enable rapid one-trial associations between any spatial location (place in rodents or spatial view in primates) and an object or reward and (2) to provide for completion of the whole memory during recall from any part. The theory is extended to associations between time and object or reward to implement temporal order memory, which is also important in episodic memory...
December 7, 2017: Cell and Tissue Research
https://www.readbyqxmd.com/read/29217447/early-experience-with-fenestrated-endovascular-compared-to-open-repair-of-complex-abdominal-aortic-aneurysms-in-a-high-volume-open-aortic-center
#7
Sarah E Deery, Robert T Lancaster, Anna M Gubala, Thomas F X O'Donnell, Christopher J Kwolek, Mark F Conrad, Richard P Cambria, Virendra I Patel
OBJECTIVE: Early data suggest that FEVAR is feasible but may have higher morbidity and unclear durability compared to open surgical repair (OSR) of complex abdominal aortic aneurysms (CAAA). We compared the early experience following elective FEVAR to traditional OSR of CAAA in a high-volume open aortic center. METHODS: All patients undergoing FEVAR and OSR for elective CAAA from 1/2010-7/2015 were identified. Univariate, multivariable logistic, and Cox hazards modeling were used to compare perioperative and intermediate outcomes...
December 4, 2017: Annals of Vascular Surgery
https://www.readbyqxmd.com/read/29216923/supervised-learning-for-infection-risk-inference-using-pathology-data
#8
Bernard Hernandez, Pau Herrero, Timothy Miles Rawson, Luke S P Moore, Benjamin Evans, Christofer Toumazou, Alison H Holmes, Pantelis Georgiou
BACKGROUND: Antimicrobial Resistance is threatening our ability to treat common infectious diseases and overuse of antimicrobials to treat human infections in hospitals is accelerating this process. Clinical Decision Support Systems (CDSSs) have been proven to enhance quality of care by promoting change in prescription practices through antimicrobial selection advice. However, bypassing an initial assessment to determine the existence of an underlying disease that justifies the need of antimicrobial therapy might lead to indiscriminate and often unnecessary prescriptions...
December 8, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29216180/the-ink4a-arf-locus-operates-as-a-regulator-of-the-circadian-clock-modulating-ras-activity
#9
Rukeia El-Athman, Nikolai N Genov, Jeannine Mazuch, Kaiyang Zhang, Yong Yu, Luise Fuhr, Mónica Abreu, Yin Li, Thomas Wallach, Achim Kramer, Clemens A Schmitt, Angela Relógio
The mammalian circadian clock and the cell cycle are two major biological oscillators whose coupling influences cell fate decisions. In the present study, we use a model-driven experimental approach to investigate the interplay between clock and cell cycle components and the dysregulatory effects of RAS on this coupled system. In particular, we focus on the Ink4a/Arf locus as one of the bridging clock-cell cycle elements. Upon perturbations by the rat sarcoma viral oncogene (RAS), differential effects on the circadian phenotype were observed in wild-type and Ink4a/Arf knock-out mouse embryonic fibroblasts (MEFs), which could be reproduced by our modelling simulations and correlated with opposing cell cycle fate decisions...
December 2017: PLoS Biology
https://www.readbyqxmd.com/read/29215876/deep-learning-of-atomically-resolved-scanning-transmission-electron-microscopy-images-chemical-identification-and-tracking-local-transformations
#10
Maxim Ziatdinov, Ondrej Dyck, Artem Maksov, Xufan Li, Xiahan Sang, Kai Xiao, Raymond R Unocic, Rama Vasudevan, Stephen Jesse, Sergei V Kalinin
Recent advances in scanning transmission electron and scanning probe microscopies have opened exciting opportunities in probing the materials structural parameters and various functional properties in real space with angstrom-level precision. This progress has been accompanied by an exponential increase in the size and quality of datasets produced by microscopic and spectroscopic experimental techniques. These developments necessitate adequate methods for extracting relevant physical and chemical information from the large datasets, for which a priori information on the structures of various atomic configurations and lattice defects is limited or absent...
December 7, 2017: ACS Nano
https://www.readbyqxmd.com/read/29215501/predictive-modeling-for-blood-transfusion-following-adult-spinal-deformity-surgery-a-tree-based-machine-learning-approach
#11
Wesley M Durand, J Mason DePasse, Alan H Daniels
STUDY DESIGN: Retrospective cohort study. OBJECTIVE: Blood transfusion is frequently necessary following adult spinal deformity (ASD) surgery. We sought to develop predictive models for blood transfusion following ASD surgery, utilizing both classification tree and random forest machine-learning approaches. SUMMARY OF BACKGROUND DATA: Past models for transfusion risk among spine surgery patients are disadvantaged through use of single-institutional data, potentially limiting generalizability...
December 5, 2017: Spine
https://www.readbyqxmd.com/read/29215311/classification-of-breast-cancer-from-ultrasound-imaging-using-a-generic-deep-learning-analysis-software-a-pilot-study
#12
Anton S Becker, Michael Mueller, Elina Stoffel, Magda Marcon, Soleen Ghafoor, Andreas Boss
PURPOSE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound images and to compare its performance to human readers with variable breast imaging experience. METHODS: In this IRB-approved, HIPAA compliant, retrospective study, all breast ultrasound examinations from January 1, 2014, to December 31, 2014 were reviewed. Patients with postsurgical scars, initially indeterminate, or malignant lesions with histological diagnoses or 2-year follow-up were included...
December 7, 2017: British Journal of Radiology
https://www.readbyqxmd.com/read/29215301/the-positioning-of-aboriginal-students-and-their-languages-within-australia-s-education-system-a-human-rights-perspective
#13
Leonard A Freeman, Bea Staley
This paper is a critical review of past and present languages policies in Australian schooling. We highlight the One Literacy movement that contravenes the human rights of Australia's Aboriginal students. This in turn impacts students' right to freedom of opinion and expression as stated in Article 19 of the Universal Declaration of Human Rights. The One Literacy movement operates by equating Standard Australian English literacy acquisition with Australia's global competitiveness and economic success. There is only one pathway through the Australian English curriculum with common assessments and standards...
December 7, 2017: International Journal of Speech-language Pathology
https://www.readbyqxmd.com/read/29211025/bearing-fault-diagnosis-under-variable-speed-using-convolutional-neural-networks-and-the-stochastic-diagonal-levenberg-marquardt-algorithm
#14
Viet Tra, Jaeyoung Kim, Sheraz Ali Khan, Jong-Myon Kim
This paper presents a novel method for diagnosing incipient bearing defects under variable operating speeds using convolutional neural networks (CNNs) trained via the stochastic diagonal Levenberg-Marquardt (S-DLM) algorithm. The CNNs utilize the spectral energy maps (SEMs) of the acoustic emission (AE) signals as inputs and automatically learn the optimal features, which yield the best discriminative models for diagnosing incipient bearing defects under variable operating speeds. The SEMs are two-dimensional maps that show the distribution of energy across different bands of the AE spectrum...
December 6, 2017: Sensors
https://www.readbyqxmd.com/read/29210464/ca2-and-lipid-signals-hold-hands-at-er-plasma-membrane-contact-sites
#15
Tamas Balla
Discovery of the STIM1 and Orai proteins as the principal components of store-operated Ca2+ entry (SOCE) has drawn attention to contact sites between the ER and the plasma membrane (PM). Such contacts between adjacent membranes of different cellular organelles, primarily between the mitochondria and the ER, had already been known as the sites where Ca2+ released from the ER can be efficiently channeled to the mitochondria and also where phosphatidylserine synthesis and transfer takes place. Recent studies have identified contact sites between virtually every organelle and the ER and the functional importance of these small specialized membrane domains is increasingly recognized...
December 6, 2017: Journal of Physiology
https://www.readbyqxmd.com/read/29210358/computer-aided-assessment-of-breast-density-comparison-of-supervised-deep-learning-and-feature-based-statistical-learning
#16
Songfeng Li, Jun Wei, Heang-Ping Chan, Mark A Helvie, Marilyn A Roubidoux, Yao Lu, Chuan Zhou, Lubomir M Hadjiiski, Ravi K Samala
Breast density is one of the most significant factors that is associated with cancer risk. In this study, our purpose was to develop a supervised deep learning approach for automated estimation of percentage density (PD) on digital mammograms (DM). The input "for processing" DM was first log-transformed, enhanced by a multi-resolution preprocessing scheme, and subsampled to a pixel size of 800µm×800µm from 100µm×100µm. A deep convolutional neural network (DCNN) was trained to estimate a probability map of breast density (PMD) by using a domain adaptation resampling method...
December 6, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29209195/the-patient-repository-for-eeg-data-computational-tools-pred-ct
#17
James F Cavanagh, Arthur Napolitano, Christopher Wu, Abdullah Mueen
Electroencephalographic (EEG) recordings are thought to reflect the network-wide operations of canonical neural computations, making them a uniquely insightful measure of brain function. As evidence of these virtues, numerous candidate biomarkers of different psychiatric and neurological diseases have been advanced. Presumably, we would only need to apply powerful machine-learning methods to validate these ideas and provide novel clinical tools. Yet, the reality of this advancement is more complex: the scale of data required for robust and reliable identification of a clinical biomarker transcends the ability of any single laboratory...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/29207458/implementation-of-problem-based-learning-in-medical-education-in-korea
#18
Sanghee Yeo, Bong Hyun Chang
PURPOSE: This study aims to identify how problem-based learning (PBL) has been implemented in Korean medical education, and how it is evaluated by each medical school. METHODS: For this study, a total of 40 medical schools in Korea were surveyed via e-mail. The survey tool was a questionnaire consisting of 22 questions which was developed independently by the researchers. RESULTS: Of the 40 medical schools, 35 schools were implementing PBL programs in their medical curriculum, while five were found not currently to be running the program...
December 2017: Korean Journal of Medical Education
https://www.readbyqxmd.com/read/29206799/simulation-based-educational-module-improves-intern-and-medical-student-performance-of-closed-reduction-and-percutaneous-pinning-of-pediatric-supracondylar-humeral-fractures
#19
Bennet A Butler, Cort D Lawton, Jamie Burgess, Earvin S Balderama, Katherine A Barsness, John F Sarwark
BACKGROUND: Simulation-based education has been integrated into many orthopaedic residency programs to augment traditional teaching models. Here we describe the development and implementation of a combined didactic and simulation-based course for teaching medical students and interns how to properly perform a closed reduction and percutaneous pinning of a pediatric supracondylar humeral fracture. METHODS: Subjects included in the study were either orthopaedic surgery interns or subinterns at our institution...
December 6, 2017: Journal of Bone and Joint Surgery. American Volume
https://www.readbyqxmd.com/read/29206553/development-of-imminent-mortality-predictor-for-advanced-cancer-impac-a-tool-to-predict-short-term-mortality-in-hospitalized-patients-with-advanced-cancer
#20
Kerin Adelson, Donald K K Lee, Salimah Velji, Junchao Ma, Susan K Lipka, Joan Rimar, Peter Longley, Teresita Vega, Javier Perez-Irizarry, Edieal Pinker, Rogerio Lilenbaum
PURPOSE: End-of-life care for patients with advanced cancer is aggressive and costly. Oncologists inconsistently estimate life expectancy and address goals of care. Currently available prognostication tools are based on subjective clinical assessment. An objective prognostic tool could help oncologists and patients decide on a realistic plan for end-of-life care. We developed a predictive model (Imminent Mortality Predictor in Advanced Cancer [IMPAC]) for short-term mortality in hospitalized patients with advanced cancer...
December 5, 2017: Journal of Oncology Practice
keyword
keyword
9066
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"