Addressing Bullying and Lateral Violence in the Workplace: A Quality Improvement Initiative
Conclusions: This initiative has demonstrated the necessary properties and is appropriate for adoption by other nursing units. (Source: Journal of Nursing Care Quality)
Source: Journal of Nursing Care Quality - November 25, 2020 Category: Nursing Tags: Articles Source Type: research

Creation of a “Patient” Hospital Escape Room Experience to Reduce Harm and Improve Quality of Care
Conclusions: The escape room template can be easily modified to target a myriad of learning objectives and learners of varying levels of experience. (Source: Journal of Nursing Care Quality)
Source: Journal of Nursing Care Quality - November 25, 2020 Category: Nursing Tags: Articles Source Type: research

Older Adults May Be More Resilient During Pandemic Than Younger People
Older adults may be more resilient to the anxiety, depression, and stress-related mental disorders that are being reported by younger adults during the COVID-19 pandemic, according to anarticle inJAMA.“[S]tudies from different countries have shown that at least some older adults are not experiencing disproportionately increased negative mental health consequences commensurate with the elevated risks they faced during the first few months of the COVID-19 pandemic,” wrote Ipsit Vahia, M.D., med ical director of Geriatric Psychiatry Outpatient Services at McLean Hospital; past APA President Dilip Jeste, M.D., dire...
Source: Psychiatr News - November 25, 2020 Category: Psychiatry Tags: anxiety COVID-19 depression JAMA older adults resiliency stress trauma wisdom Source Type: research

Artificial Intelligence, Machine Learning and Calculation of Intraocular Lens Power.
CONCLUSION: In this paper we wanted to show the principles of supervised machine learning applied to prediction of the measured physical postoperative axial position of the intraocular lenses. Based on our limited data pool and the algorithms used in our setting, the benefit of machine learning algorithms seems to be limited compared to a standard multivariate regression model. PMID: 33231277 [PubMed - as supplied by publisher] (Source: Klinische Monatsblatter fur Augenheilkunde)
Source: Klinische Monatsblatter fur Augenheilkunde - November 25, 2020 Category: Opthalmology Tags: Klin Monbl Augenheilkd Source Type: research

Transfer of Learning in People Who Are Blind: Enhancement of Spatial-Cognitive Abilities Through Drawing.
This study assessed whether basic spatial-cognitive abilities can be enhanced in people who are blind through transfer of learning from drawing training. Methods: Near-body spatial-cognitive performance was assessed through the Cognitive Test for the Blind (CTB), which assesses a wide range of basic spatial-cognitive skills. The CTB was administered to 21 participants who are blind in two behavioral testing sessions separated by five days. For participants in the "trained" group, these intervening days were occupied by the Cognitive-Kinesthetic Drawing Training method, during which participants learned how to...
Source: Journal of Visual Impairment and Blindness - November 25, 2020 Category: Opthalmology Tags: J Vis Impair Blind Source Type: research

Fostering Creativity as a Problem-Solving Competence through Design: Think-Create-Learn, a Tool for Teachers
Publication date: Available online 24 November 2020Source: Thinking Skills and CreativityAuthor(s): M. Belén Calavia, Teresa Blanco, Roberto Casas (Source: Thinking Skills and Creativity)
Source: Thinking Skills and Creativity - November 25, 2020 Category: Science Source Type: research

A cultural perspective to project-based learning and the cultivation of innovative thinking
Publication date: Available online 24 November 2020Source: Thinking Skills and CreativityAuthor(s): Miri Barak, Shiran Yuan (Source: Thinking Skills and Creativity)
Source: Thinking Skills and Creativity - November 25, 2020 Category: Science Source Type: research

Development and Pilot Testing of MyGoutCare: A Novel Web-Based Platform to Educate Patients With Gout
Background Management guidelines have identified unmet educational needs in gout patients. Our objective was to develop and pilot test MyGoutCare (MGC©)—a web-based, interactive educational resource for gout patients, tailored to improve knowledge. Methods The website was developed with input from patients and experts. A health informatics expert tailored content areas so the patient could walk through a journey to learn various aspects of gout. During the pilot study, patients completed baseline demographics and a 10-item validated gout knowledge questionnaire. After reviewing the website, patients c...
Source: JCR: Journal of Clinical Rheumatology - November 25, 2020 Category: Rheumatology Tags: Original Articles Source Type: research

The Role of Mentoring in the Professional Identity Formation of Medical Students.
Abstract Professional identity formation (PIF) of medical students encompasses how students learn to think, do, and act as physicians. A key component of PIF is socialization, which includes mentoring. Mentoring influences students' career specialty choice, while providing a safe and nurturing environment to form their own professional identities. Mentoring of medical students by orthopedic surgeons may increase interest in the specialty. Suggestions for utilizing mentoring for the PIF of medical students and to increase diversity in orthopedics are discussed. PMID: 33222985 [PubMed - in process] (Source: The...
Source: The Orthopedic Clinics of North America - November 25, 2020 Category: Orthopaedics Authors: Bettin KA Tags: Orthop Clin North Am Source Type: research

Life Long Learning: The Attending and Educator in Orthopedic Trauma.
Abstract As effective surgeon educators, we must seek continual improvement, to be "better today than I was yesterday." This pursuit of personal and professional development requires self-awareness of a guiding purpose, and grit, the passion and perseverance to achieve long-term goals. Surgical training draws on an apprenticeship model, where progressive transfer of knowledge, responsibility, and autonomy occurs over time as trainees work with experienced surgeons. Educators should model personal responsibility and technical excellence and require both of their trainees. While training programs shift tow...
Source: The Orthopedic Clinics of North America - November 25, 2020 Category: Orthopaedics Authors: Spitler CA Tags: Orthop Clin North Am Source Type: research

Surgical Skills Training Using Simulation for Basic and Complex Hip and Knee Arthroplasty.
Abstract Skills training is important in an arthroplasty curriculum and can focus either on "part tasks" or on full procedures. The most commonly used simulations in orthopedics including arthroplasty are anatomic specimens, dry bone models, and virtual or other technology-enhanced systems. A course curriculum planning committee must identify the gaps to address, define what learners need to be able to do, and select the most appropriate simulation modality and assessment for delivery. Each simulation must have a clear structure with learning objectives, steps, and take-home messages. Feedback from learn...
Source: The Orthopedic Clinics of North America - November 25, 2020 Category: Orthopaedics Authors: Sepehri A, von Roth P, Stoffel K, Acklin Y, Oussedik S, Wijburg B, Wada A, Cunningham M, Masri BA Tags: Orthop Clin North Am Source Type: research

[ASAP] Writing Assignments to Support the Learning Goals of a CURE
Journal of Chemical EducationDOI: 10.1021/acs.jchemed.0c00915 (Source: Journal of Chemical Education)
Source: Journal of Chemical Education - November 25, 2020 Category: Chemistry Authors: Field M. Watts, Jeffrey L. Spencer, and Ginger V. Shultz Source Type: research

[ASAP] Machine Learning-Based Upscaling of Finite-Size Molecular Dynamics Diffusion Simulations for Binary Fluids
The Journal of Physical Chemistry LettersDOI: 10.1021/acs.jpclett.0c03108 (Source: The Journal of Physical Chemistry Letters)
Source: The Journal of Physical Chemistry Letters - November 25, 2020 Category: Chemistry Authors: Calen J. Leverant, Jacob A. Harvey, and Todd M. Alam Source Type: research

[ASAP] Adaptive Transfer Learning of Cross-Spatiotemporal Canonical Correlation Analysis for Plant-Wide Process Monitoring
Industrial& Engineering Chemistry ResearchDOI: 10.1021/acs.iecr.0c04885 (Source: Industrial and Engineering Chemical Research)
Source: Industrial and Engineering Chemical Research - November 25, 2020 Category: Chemistry Authors: Hongchao Cheng, Yiqi Liu, Daoping Huang, Yongping Pan, and Qilin Wang Source Type: research

Another look at the core concepts of physiology: revisions and resources.
Abstract In 2011, we published a description of 15 core concepts of physiology, and in 2017 we described how core concepts could be used to teach physiology. On the basis of publications and conference presentations, it is clear that the core concepts, conceptual frameworks, and the homeostasis concept inventory have been used by faculty in many ways to improve and assess student learning and align instruction and programs. A growing number of colleagues focus their teaching on physiology core concepts, and some core concepts have been used as explicit themes or organizing principles in physiology or anatomy and p...
Source: Adv Physiol Educ - November 25, 2020 Category: Universities & Medical Training Authors: Michael J, McFarland J Tags: Adv Physiol Educ Source Type: research

Pretesting Reduces Mind Wandering and Enhances Learning During Online Lectures
Publication date: Available online 23 November 2020Source: Journal of Applied Research in Memory and CognitionAuthor(s): Steven C. Pan, Faria Sana, Alexandra G. Schmitt, Elizabeth Ligon Bjork (Source: Journal of Applied Research in Memory and Cognition)
Source: Journal of Applied Research in Memory and Cognition - November 25, 2020 Category: Neuroscience Source Type: research

Integration of newly learned L2 words into the mental lexicon is modulated by vocabulary learning method.
Abstract The aim of the study was to investigate both L2 word integration and the effect of learning method on it. For this purpose, an L2 word-learning paradigm was designed with two learning methods: L2 words were paired with videos in the first one and their translation-equivalent L1 words in the second. To test L2 word integration, a lexical decision task associated with form priming was administered before and after the learning phase. The L2 words to be learned were used as primes. Forty-eight participants participated in the study. Before learning, a facilitation effect was obtained with pseudowords (not al...
Source: Acta Psychologica - November 25, 2020 Category: Psychiatry & Psychology Authors: Boddaert G, Cornut C, Casalis S Tags: Acta Psychol (Amst) Source Type: research

Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches.
Abstract Stroke, if not lethal, is a primary cause of disability. Early assessment of markers of recovery can allow personalized interventions; however, it is difficult to deliver indexes in the acute phase able to predict recovery. In this perspective, evaluation of electrical brain activity may provide useful information. A machine learning approach was explored here to predict post-stroke recovery relying on multi-channel electroencephalographic (EEG) recordings of few minutes performed at rest. A data-driven model, based on partial least square (PLS) regression, was trained on 19-channel EEG recordings perform...
Source: International Journal of Neural Systems - November 25, 2020 Category: Neurology Authors: Chiarelli AM, Croce P, Assenza G, Merla A, Granata G, Giannantoni NM, Pizzella V, Tecchio F, Zappasodi F Tags: Int J Neural Syst Source Type: research

Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
The large volume and suboptimal image quality of portable chest X-rays (CXRs) as a result of the COVID-19 pandemic could post significant challenges for radiologists and frontline physicians. Deep-learning art... (Source: BioMedical Engineering OnLine)
Source: BioMedical Engineering OnLine - November 25, 2020 Category: Biomedical Engineering Authors: Lal Hussain, Tony Nguyen, Haifang Li, Adeel A. Abbasi, Kashif J. Lone, Zirun Zhao, Mahnoor Zaib, Anne Chen and Tim Q. Duong Tags: Research Source Type: research

Evaluation of deep learning-based auto-segmentation algorithms for delineating clinical target volume and organs at risk involving data for 125 cervical cancer patients.
CONCLUSION: The auto-segmentation model was as accurate as the medical resident but with much better efficiency in this study. Furthermore, the auto-segmentation approach offers additional perceivable advantages of being consistent and ever improving when compared with manual approaches. PMID: 33238060 [PubMed - as supplied by publisher] (Source: Journal of Applied Clinical Medical Physics)
Source: Journal of Applied Clinical Medical Physics - November 25, 2020 Category: Physics Authors: Wang Z, Chang Y, Peng Z, Lv Y, Shi W, Wang F, Pei X, Xu XG Tags: J Appl Clin Med Phys Source Type: research

Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model.
In this study, we presented a DTS enhancement method based on a patient-specific deep learning model to recover the volumetric information in DTS images. The main idea is to use the patient-specific prior knowledge to train the model to learn the patient-specific correlation between DTS and the ground truth volumetric images. To validate the performance of the proposed method, we enrolled both simulated and real on-board projections from lung cancer patient data. Results demonstrated the benefits of the proposed method: (1) qualitatively, DTS enhanced by the proposed method shows CT-like high image quality with accurate an...
Source: Physics in Medicine and Biology - November 25, 2020 Category: Physics Authors: Jiang Z, Yin FF, Ge Y, Ren L Tags: Phys Med Biol Source Type: research

Deep learning model predicts water interaction sites on the surface of proteins using limited-resolution data.
Abstract We develop a residual deep learning model, hotWater (, to identify key water interaction sites on proteins for binding models and drug discovery. This is tested on new crystal structures, as well as cryo-EM and NMR structures from the PDB and in crystallographic refinement with promising results. PMID: 33237041 [PubMed - as supplied by publisher] (Source: Chemical Communications)
Source: Chemical Communications - November 25, 2020 Category: Chemistry Authors: Zaucha J, Softley CA, Sattler M, Frishman D, Popowicz GM Tags: Chem Commun (Camb) Source Type: research

Working, Declarative, and Procedural Memory in Children With Developmental Language Disorder.
Conclusions These findings indicate that children with DLD have deficits in the working memory system. While verbal declarative memory and procedural memory also appear to be impaired, these deficits could largely be accounted for by working memory skills. The results have implications for our understanding of the cognitive processes underlying language impairment in the DLD population; however, further investigation of the relationships between the memory systems is required using tasks that measure learning over long-term intervals. Supplemental Material PMID: 33237847 [PubMed...
Source: Journal of speech, language, and hearing research : JSLHR - November 25, 2020 Category: Speech-Language Pathology Authors: Jackson E, Leitão S, Claessen M, Boyes M Tags: J Speech Lang Hear Res Source Type: research

[New techniques and training methods for robot-assisted surgery and cost-benefit analysis of Ivor Lewis esophagectomy].
CONCLUSION: Oncological short-term and long-term benefits need to be further evaluated to support the higher cost of robotic esophageal cancer surgery. PMID: 33237368 [PubMed - as supplied by publisher] (Source: Der Chirurg)
Source: Der Chirurg - November 25, 2020 Category: Surgery Authors: Urbanski A, Babic B, Schröder W, Schiffmann L, Müller DT, Bruns CJ, Fuchs HF Tags: Chirurg Source Type: research

Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit
Even brief hypotension is associated with increased morbidity and mortality. We developed a machine learning model to predict the initial hypotension event among intensive care unit (ICU) patients and designed... (Source: Critical Care)
Source: Critical Care - November 25, 2020 Category: Intensive Care Authors: Joo Heung Yoon, Vincent Jeanselme, Artur Dubrawski, Marilyn Hravnak, Michael R. Pinsky and Gilles Clermont Tags: Research Source Type: research

Multimodality cardiac imaging in the 21st century: evolution, advances and future opportunities for innovation.
Abstract Cardiovascular imaging has significantly evolved since the turn of the century. Progress in the last two decades has been marked by advances in every modality used to image the heart, including echocardiography, cardiac magnetic resonance, cardiac CT and nuclear cardiology. There has also been a dramatic increase in hybrid and fusion modalities that leverage the unique capabilities of two imaging techniques simultaneously, as well as the incorporation of artificial intelligence and machine learning into the clinical workflow. These advances in non-invasive cardiac imaging have guided patient management an...
Source: The British Journal of Radiology - November 25, 2020 Category: Radiology Authors: Daubert MA, Tailor T, James O, Shaw LJ, Douglas PS, Koweek L Tags: Br J Radiol Source Type: research

Latent Structure of a Brief Clinical Battery of Neuropsychological Tests Administered In-Home Via Telephone.
CONCLUSIONS: Findings provide preliminary support for the feasibility and factor structure and sociodemographic correlates of a brief telephone-based screening neuropsychological battery comprised mostly of commonly administered clinical measures. Future studies are needed to determine the test-retest reliability, sensitivity, and ecological relevance of this battery, as well as equivalency to in-person assessment. PMID: 33236037 [PubMed - as supplied by publisher] (Source: Archives of Clinical Neuropsychology)
Source: Archives of Clinical Neuropsychology - November 25, 2020 Category: Psychiatry & Psychology Authors: Matchanova A, Babicz MA, Medina LD, Rahman S, Johnson B, Thompson JL, Beltran-Najera I, Brooks J, Sullivan KL, Walker RL, Podell K, Woods SP Tags: Arch Clin Neuropsychol Source Type: research

Assessing the preparedness and feasibility of an e-learning pilot project for university level health trainees in Ghana: a cross-sectional descriptive survey
Ghana is challenged with shortage of critical human resources for health particularly nurses and midwives in rural hard-to-reach communities. This shortage potentially hinders efforts towards attaining univers... (Source: BMC Medical Education)
Source: BMC Medical Education - November 25, 2020 Category: Universities & Medical Training Authors: Robert Kaba Alhassan Tags: Research article Source Type: research

Students ’ understanding of social determinants of health in a community-based curriculum: a general inductive approach for qualitative data analysis
A community-based medical education (CBME) curriculum may provide opportunities to learn about the social determinants of health (SDH) by encouraging reflection on context, but the categories that students can... (Source: BMC Medical Education)
Source: BMC Medical Education - November 25, 2020 Category: Universities & Medical Training Authors: Sachiko Ozone, Junji Haruta, Ayumi Takayashiki, Takami Maeno and Tetsuhiro Maeno Tags: Research article Source Type: research

Natural language processing and entrustable professional activity text feedback in surgery: A machine learning model of resident autonomy
Entrustable Professional Activities (EPAs) contain narrative ‘entrustment roadmaps’ designed to describe specific behaviors associated with different entrustment levels. However, these roadmaps were created using expert committee consensus, with little data available for guidance. Analysis of actual EPA assessment narrative comments using natural language processing may enhance our understanding of resident entrustment in actual practice. (Source: American Journal of Surgery)
Source: American Journal of Surgery - November 25, 2020 Category: Surgery Authors: Christopher C. Stahl, Sarah A. Jung, Alexandra A. Rosser, Aaron S. Kraut, Benjamin H. Schnapp, Mary Westergaard, Azita G. Hamedani, Rebecca M. Minter, Jacob A. Greenberg Source Type: research

Identifying early gastric cancer under magnifying narrow-band images via deep learning: a multicenter study
In this study, we aimed to develop a computer-aided diagnostic model, EGCM, to analyze and assist in the diagnosis of EGC under ME-NBI. (Source: Gastrointestinal Endoscopy)
Source: Gastrointestinal Endoscopy - November 25, 2020 Category: Gastroenterology Authors: Hao Hu, Lixin Gong, Di Dong, Liang Zhu, Min Wang, Jie He, Lei Shu, Yiling Cai, Shilun Cai, Wei Su, Yunshi Zhong, Cong Li, Yongbei Zhu, Mengjie Fang, Lianzhen Zhong, Xin Yang, Pinghong Zhou, Jie Tian Source Type: research

Sensors, Vol. 20, Pages 6737: Foot Strike Angle Prediction and Pattern Classification Using LoadsolTM Wearable Sensors: A Comparison of Machine Learning Techniques
chwameder The foot strike pattern performed during running is an important variable for runners, performance practitioners, and industry specialists. Versatile, wearable sensors may provide foot strike information while encouraging the collection of diverse information during ecological running. The purpose of the current study was to predict foot strike angle and classify foot strike pattern from LoadsolTM wearable pressure insoles using three machine learning techniques (multiple linear regression―MR, conditional inference tree―TREE, and random forest―FRST). Model performance was assessed using three-dimensiona...
Source: Sensors - November 25, 2020 Category: Biotechnology Authors: Stephanie R. Moore Christina Kranzinger Julian Fritz Thomas St ӧggl Josef Kr ӧll Hermann Schwameder Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6735: Coarse-to-Fine Satellite Images Change Detection Framework via Boundary-Aware Attentive Network
g Zhang Timely and accurate change detection on satellite images by using computer vision techniques has been attracting lots of research efforts in recent years. Existing approaches based on deep learning frameworks have achieved good performance for the task of change detection on satellite images. However, under the scenario of disjoint changed areas in various shapes on land surface, existing methods still have shortcomings in detecting all changed areas correctly and representing the changed areas boundary. To deal with these problems, we design a coarse-to-fine detection framework via a boundary-aware attentive n...
Source: Sensors - November 25, 2020 Category: Biotechnology Authors: Yi Zhang Shizhou Zhang Ying Li Yanning Zhang Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6742: Wind Turbine Gearbox Condition Monitoring Based on Class of Support Vector Regression Models and Residual Analysis
Unguresan The intelligent condition monitoring of wind turbines reduces their downtime and increases reliability. In this manuscript, a feature selection-based methodology that essentially works on regression models is used for identifying faulty scenarios. Supervisory control and data acquisition (SCADA) data with 1009 samples from one year and one month before failure are considered. Gearbox oil and bearing temperatures are treated as target variables with all the other variables used for the prediction model. Neighborhood component analysis (NCA) as a feature selection technique is employed to select the best featur...
Source: Sensors - November 25, 2020 Category: Biotechnology Authors: Harsh S. Dhiman Dipankar Deb James Carroll Vlad Muresan Mihaela-Ligia Unguresan Tags: Article Source Type: research

IJERPH, Vol. 17, Pages 8757: An Integrative Review of How Healthcare Organizations Can Support Hospital Nurses to Thrive at Work
Conclusions: The Social Embeddedness of Thriving at Work Model supports managers to develop management approaches that enable their nurses to thrive. Health managers should consider strategies to support nurses to thrive at work to improve nurse work engagement and wellbeing. (Source: International Journal of Environmental Research and Public Health)
Source: International Journal of Environmental Research and Public Health - November 25, 2020 Category: Environmental Health Authors: Moloney Fieldes Jacobs Tags: Review Source Type: research

IJERPH, Vol. 17, Pages 8756: Contributions of Service-Learning on PETE Students ’ Effective Personality: A Mixed Methods Research
In conclusion, the study reported a positive influence of SL on the PETE students’ EP, providing valuable design patterns for future SL implementations. (Source: International Journal of Environmental Research and Public Health)
Source: International Journal of Environmental Research and Public Health - November 25, 2020 Category: Environmental Health Authors: Chiva-Bartoll Baena-Extremera Hortiguela-Alcal á Ruiz-Montero Tags: Article Source Type: research

IJERPH, Vol. 17, Pages 8754: Effectiveness of Psychological Capital Intervention and Its Influence on Work-Related Attitudes: Daily Online Self-Learning Method and Randomized Controlled Trial Design
This study aims to extend the psychological capital intervention (PCI) model and examine its influence on work-related attitudes. A daily online self-learning approach and a randomized controlled trial design are utilized. A final sample of 104 full-time employees, recruited online, is randomly divided into three groups to fill in self-report questionnaires immediately before (T1), immediately after (T2), and one week after (T3) the intervention. The results indicate that the intervention is effective at improving psychological capital (PsyCap), increasing job satisfaction, and reducing turnover intention. The practical im...
Source: International Journal of Environmental Research and Public Health - November 25, 2020 Category: Environmental Health Authors: Shu Da Yue He Xichao Zhang Tags: Article Source Type: research

Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases
ConclusionsRequiring only summary-level data, our unsupervised approach allows the genetic architectures across any range of clinically related traits to be characterised in fewer dimensions. This facilitates the analysis of studies with modest sample size by matching shared axes of both genetic and biological risk across a wider disease domain, and provides an evidence base for possible therapeutic repurposing opportunities. (Source: Genome Medicine)
Source: Genome Medicine - November 25, 2020 Category: Genetics & Stem Cells Source Type: research

Factors affecting the delivery of complex rehabilitation interventions in research with neurologically impaired adults: a systematic review
ConclusionsThis review has described the barriers and facilitators identified in studies implementing complex interventions for people with LTNCs. Early adoption of implementation frameworks by trialists can simplify identification and reporting of factors affecting delivery of new complex rehabilitation interventions. It is vital to learn from previous experiences to prevent unnecessary repetitions of implementation failure at both trial and service provision levels. Reported facilitators can provide strategies for overcoming implementation issues. Reporting gaps may be due to the lack of standardised reporting methods, r...
Source: Systematic Reviews - November 25, 2020 Category: International Medicine & Public Health Source Type: research

Response to: The Impact of COVID-19 Pandemic on Medical School Admissions: Challenges and Solutions
Dowd and associates comprehensively detail many of the challenges encountered by the medical school admissions process in light of the COVID-19 pandemic. In particular, they highlight the difficulties of continuing laboratory-based learning which is an integral part of medical school perquisite coursework. While many colleges and universities have found ways to transition these classes to virtual formats, these moves may jeopardize students that are struggling academically or require special attention. (Source: Journal of Surgical Research)
Source: Journal of Surgical Research - November 25, 2020 Category: Surgery Authors: Alan Gambril, Jamal K. Egbaria, Carter J. Boyd Source Type: research

Commentary on the Challenges and Benefits of Implementing Standardized Outcome Measures
The Institute of Medicine (now the National Academy of Medicine) has proposed a Learning Heath System (LHS) as a model to improve health care. A LHS focuses on capturing data from the clinical encounter and applying those data to improve practice. The process can be described as an iterative learning cycle composed of three areas: performance to data, data to knowledge, and knowledge to performance or often knowledge translation. Adoption of new knowledge in medicine is notoriously slow and the relatively new field of knowledge translation is systematically examining the critical success factors. (Source: Archives of Physi...
Source: Archives of Physical Medicine and Rehabilitation - November 25, 2020 Category: Rehabilitation Authors: John F. Butzer, Roberta Virva, Lauren Lenca Source Type: research

Radiology podcasting as a model for asynchronous remote learning in the COVID-19 era
We aimed to create an open access online radiology podcast to educate listeners at any time, from anywhere. To meet learner needs and improve the likelihood of successful implementation and utilization, we assessed radiology trainee attitudes and experiences of podcasts. (Source: Clinical Imaging)
Source: Clinical Imaging - November 25, 2020 Category: Radiology Authors: Tina Shiang, Christopher Cerniglia, Hannah Lin, Hao S. Lo Source Type: research

Confidence and competency in the use of dermoscopy among new first-year dermatology residents: a repeated-pairs pre-/post-assessment study of an online learning module
(Source: Journal of the American Academy of Dermatology)
Source: Journal of the American Academy of Dermatology - November 25, 2020 Category: Dermatology Authors: David M. Wang, Claire E. Petitt, Nikita S. Goel, Mark M. Ash, Julie E. Mervak Source Type: research

Cancers, Vol. 12, Pages 3506: An Improved, Assay Platform Agnostic, Absolute Single Sample Breast Cancer Subtype Classifier
o Kim While intrinsic molecular subtypes provide important biological classification of breast cancer, the subtype assignment of individuals is influenced by assay technology and study cohort composition. We sought to develop a platform-independent absolute single-sample subtype classifier based on a minimal number of genes. Pairwise ratios for subtype-specific differentially expressed genes from un-normalized expression data from 432 breast cancer (BC) samples of The Cancer Genome Atlas (TCGA) were used as inputs for machine learning. The subtype classifier with the fewest number of genes and maximal classification po...
Source: Cancers - November 25, 2020 Category: Cancer & Oncology Authors: Mi-kyoung Seo Soonmyung Paik Sangwoo Kim Tags: Article Source Type: research

Beyond physiotherapy and pharmacological treatment for fibromyalgia syndrome: tailored tACS as a new therapeutic tool
AbstractFibromyalgia syndrome (FMS) is a complex pain disorder, characterized by diffuse pain and cognitive disturbances. Abnormal cortical oscillatory activity may be a promising biomarker, encouraging non-invasive neurostimulation techniques as a treatment. We aimed to modulate abnormal slow cortical oscillations by delivering transcranial alternating current stimulation (tACS) and physiotherapy to reduce pain and cognitive symptoms. This was a double-blinded, randomized, crossover trial conducted between February and September 2018 at the Rehabilitation Unit of a teaching Hospital (NCT03221413). Participants were random...
Source: European Archives of Psychiatry and Clinical Neuroscience - November 25, 2020 Category: Neuroscience Source Type: research

Computational prediction of species-specific yeast DNA replication origin via iterative feature representation.
Abstract Deoxyribonucleic acid replication is one of the most crucial tasks taking place in the cell, and it has to be precisely regulated. This process is initiated in the replication origins (ORIs), and thus it is essential to identify such sites for a deeper understanding of the cellular processes and functions related to the regulation of gene expression. Considering the important tasks performed by ORIs, several experimental and computational approaches have been developed in the prediction of such sites. However, existing computational predictors for ORIs have certain curbs, such as building only single-feat...
Source: Briefings in Bioinformatics - November 25, 2020 Category: Bioinformatics Authors: Manavalan B, Basith S, Shin TH, Lee G Tags: Brief Bioinform Source Type: research

Viruses, Vol. 12, Pages 1349: The Absence of Yellow Fever in Asia: History, Hypotheses, Vector Dispersal, Possibility of YF in Asia, and Other Enigmas
o Since the recent epidemics of yellow fever in Angola and Brazil as well as the importation of cases to China in 2016, there has been an increased interest in the century-old enigma, absence of yellow fever in Asia. Although this topic has been repeatedly reviewed before, the history of human intervention has never been considered a critical factor. A two-stage literature search online for this review, however, yielded a rich history indispensable for the debate over this medical enigma. As we combat the pandemic of COVID-19 coronavirus worldwide today, we can learn invaluable lessons from the historical events in Asi...
Source: Viruses - November 25, 2020 Category: Virology Authors: Goro Kuno Tags: Review Source Type: research

Sensors, Vol. 20, Pages 6730: Reducing Response Time in Motor Imagery Using A Headband and Deep Learning
ute; Rodríguez-Fórtiz Electroencephalography (EEG) signals to detect motor imagery have been used to help patients with low mobility. However, the regular brain computer interfaces (BCI) capturing the EEG signals usually require intrusive devices and cables linked to machines. Recently, some commercial low-intrusive BCI headbands have appeared, but with less electrodes than the regular BCIs. Some works have proved the ability of the headbands to detect basic motor imagery. However, all of these works have focused on the accuracy of the detection, using session sizes larger than 10 s, in order to improve t...
Source: Sensors - November 25, 2020 Category: Biotechnology Authors: Francisco M. Garcia-Moreno Maria Bermudez-Edo Jos é Luis Garrido Mar ía José Rodríguez-Fórtiz Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6729: Is Standardization Necessary for Sharing of a Large Mid-Infrared Soil Spectral Library?
man Recent developments in diffuse reflectance soil spectroscopy have increasingly focused on building and using large soil spectral libraries with the purpose of supporting many activities relevant to monitoring, mapping and managing soil resources. A potential limitation of using a mid-infrared (MIR) spectral library developed by another laboratory is the need to account for inherent differences in the signal strength at each wavelength associated with different instrumental and environmental conditions. Here we apply predictive models built using the USDA National Soil Survey Center–Kellogg Soil Survey...
Source: Sensors - November 25, 2020 Category: Biotechnology Authors: Shree R. S. Dangal Jonathan Sanderman Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6727: EEG-Based Emotion Classification Using Long Short-Term Memory Network with Attention Mechanism
hoi Recently, studies that analyze emotions based on physiological signals, such as electroencephalogram (EEG), by applying a deep learning algorithm have been actively conducted. However, the study of sequence modeling considering the change of emotional signals over time has not been fully investigated. To consider long-term interaction of emotion, in this study, we propose a long short-term memory network to consider changes in emotion over time and apply an attention mechanism to assign weights to the emotional states appearing at specific moments based on the peak–end rule in psychology. We used 32-c...
Source: Sensors - November 25, 2020 Category: Biotechnology Authors: Youmin Kim Ahyoung Choi Tags: Article Source Type: research