A collaborative working model for enhancing the learning process of science & engineering students
Publication date: Available online 27 September 2019Source: Computers in Human BehaviorAuthor(s): Higinio Mora, María Teresa Signes-Pont, Andrés Fuster-Guilló, María L. Pertegal-FelicesAbstractScience and engineering education are mostly based on content assimilation and development of skills. However, to adequately prepare students for today's world, it is also necessary to stimulate critical thinking and make them reflect on how to improve current practices using new tools and technologies. In this line, the main motivation of this research consists in exploring ways supported by technology to...
Source: Computers in Human Behavior - September 29, 2019 Category: Information Technology Source Type: research

Artificial Intelligence for Diagnosis of Acute Coronary Syndromes: A Meta-Analysis of Mixed Methods of Machine Learning.
Conclusions– The excellent sensitivity, negative likelihood ratio and negative predictive values suggest that ML may be useful as an initial triage tool to rule out ACS. (Source: Canadian Journal of Cardiology)
Source: Canadian Journal of Cardiology - September 29, 2019 Category: Cardiology Source Type: research

The Future of Adult Congenital Heart Disease Research: Precision Health Services Delivery for the Next Decade
Publication date: Available online 28 September 2019Source: Canadian Journal of CardiologyAuthor(s): Ariane MarelliAbstractCanada has led significant advances in congenital heart disease (CHD), with contributions in surgery, epidemiology, and the organization of health services. Against this backdrop, the changing research landscape is examined to determine how big data, machine learning, and digital health can impact adult congenital heart disease (ACHD) research in Canada. The exponential growth of ACHD populations has come at the cost of a high disease burden. This motivates the need to explore the deployment of health ...
Source: Canadian Journal of Cardiology - September 29, 2019 Category: Cardiology Source Type: research

Machine learning recommends affordable new Ti alloy with bone-like modulus
Publication date: Available online 27 September 2019Source: Materials TodayAuthor(s): Chun-Te Wu, Hsiao-Tzu Chang, Chien-Yu Wu, Shi-Wei Chen, Sih-Ying Huang, Mingxin Huang, Yeong-Tsuen Pan, Peta Bradbury, Joshua Chou, Hung-Wei YenAbstractA neural-network machine called “βLow” enables a high-throughput recommendation for new β titanium alloys with Young’s moduli lower than 50 GPa. The machine was trained by using a very general approach with small data from experiments. Its efficiency and accuracy break the barrier for alloy discovery. βLow’s best recommendation, Ti-12Nb-12Zr-12Sn (i...
Source: Materials Today - September 29, 2019 Category: Materials Science Source Type: research

ScriptNumerate: A Data-to-Advice Pipeline using Compound Digital Objects to Increase the Interoperability of Computable Biomedical Knowledge.
Authors: J Flynn A, Milstein JA, Boisvert P, Gittlen N, Lagoze C, Meng G Abstract Many obstacles must be overcome to generate new biomedical knowledge from real-world data and then directly apply the newly generated knowledge for decision support. Attempts to bridge the processes of data analysis and technical implementation of analytic results reveal a number of gaps. As one example, the knowledge format used to communicate results from data analysis often differs from the knowledge format required by systems to compute advice. We asked whether a shared format could be used by both processes. To address this quest...
Source: AMIA Annual Symposium Proceedings - September 29, 2019 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.
Authors: Ge W, Huh JW, Park YR, Lee JH, Kim YH, Turchin A Abstract Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently cannot provide explicit interpretability. We evaluated an interpretable ICU mortality prediction model based on Recurrent Neural Networks (RNN) with long short-term memory(LSTM)units. This model combines both sequential features with multiple values over the patient's hospitalization (e.g. vital signs or laborato...
Source: AMIA Annual Symposium Proceedings - September 29, 2019 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.
Authors: Banerjee I, Choi HH, Desser T, Rubin DL Abstract We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and Data System (LI-RADS) final assessment categories in narrative ultrasound (US) reports. Although our model was trained on reports created using a LI-RADS template, it was also able to infer LI-RADS scoring for unstructured reports that were created before the LI-RADS guidelines were established. No human-labelled data was required in any step of this study; for training, LI-RADS scores were automatically extracted from those reports that contained structured ...
Source: AMIA Annual Symposium Proceedings - September 29, 2019 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Using conversational agents to explain medication instructions to older adults.
Authors: Azevedo RFL, Morrow D, Graumlich J, Willemsen-Dunlap A, Hasegawa-Johnson M, Huang TS, Gu K, Bhat S, Sakakini T, Sadauskas V, Halpin DJ Abstract In an effort to guide the development of a computer agent (CA)-based adviser system that presents patient-centered language to older adults (e.g., medication instructions in portal environments or smartphone apps), we evaluated 360 older and younger adults' responses to medication information delivered by a set of CAs. We assessed patient memory for medication information, their affective responses to the information, their perception of the CA's teaching effective...
Source: AMIA Annual Symposium Proceedings - September 29, 2019 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.
The objective of this study was to determine whether natural language processing (NLP) with machine learning performs better than a traditional keyword model for ARDS identification. Linguistic pre-processing of reports was performed and text features were inputs to machine learning classifiers tuned using 10-fold cross-validation on 80% of the sample size and tested in the remaining 20%. A cohort of 533 patients was evaluated, with a data corpus of 9,255 radiology reports. The traditional model had an accuracy of 67.3% (95% CI: 58.3-76.3) with a positive predictive value (PPV) of 41.7% (95% CI: 27.7-55.6). The best NLP mo...
Source: AMIA Annual Symposium Proceedings - September 29, 2019 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

No pills, more skills: The adverse effect of hormonal contraceptive use on exposure therapy benefit
This study set out to examine whether oral contraceptive use is related to exposure-based treatment response in specific phobia. We recruited spider-phobic women (n = 28) using oral contraceptives (OC) and free-cycling women (n = 26, No-OC). All participants were subjected to an identical in-vivo exposure. Exposure-based symptom improvement was assessed with several behavioral and subjective indices at pre-treatment, post-treatment and six-weeks follow-up. The No–OC–Group showed higher pre-exposure fear levels on the FSQ and SPQ. OC women showed slightly less pronounced exposure benefit compared to thei...
Source: Journal of Psychiatric Research - September 29, 2019 Category: Psychiatry Source Type: research

On the potential harmful effects of E-Cigarettes (EC) on the developing brain: The relationship between vaping-induced oxidative stress and adolescent/young adults social maladjustment.
ConclusionsE-cigarettes use could potentially play a role in adolescent/young adults social maladjustments including poor learning and academic performance, increased aggressive and impulsive behavior, poor sleep quality, attention deficits, impaired memory, and cognition, and increased depression and suicidal ideation. The government, parents, school authorities and clinicians should be advised on these potentially harmful effects. (Source: Journal of Adolescence)
Source: Journal of Adolescence - September 29, 2019 Category: Child Development Source Type: research

Machine learning method for the management of acute kidney injury: more than just treating biomarkers individually.
Authors: Zhang Z PMID: 31559832 [PubMed - as supplied by publisher] (Source: Future Medicine: Biomarkers in Medicine)
Source: Future Medicine: Biomarkers in Medicine - September 29, 2019 Category: Internal Medicine Tags: Biomark Med Source Type: research

Sensors, Vol. 19, Pages 4229: Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks
Sadowski In this article, the usage of deep learning (DL) in ultra-wideband (UWB) Wireless Body Area Networks (WBANs) is presented. The developed approach, using channel impulse response, allows higher efficiency in identifying the direct visibility conditions between nodes in off-body communication with comparison to the methods described in the literature. The effectiveness of the proposed deep feedforward neural network was checked on the basis of the measurement data for dynamic scenarios in an indoor environment. The obtained results clearly prove the validity of the proposed DL approach in the UWB WBANs and high...
Source: Sensors - September 29, 2019 Category: Biotechnology Authors: Krzysztof K. Cwalina Piotr Rajchowski Olga Blaszkiewicz Alicja Olejniczak Jaroslaw Sadowski Tags: Article Source Type: research

Effective teaching instructions for Hangul learning among Korean kindergartners
This study assessed the effects of four types of teaching instruction for Hangul learning in Korean kindergartners. Forty-five four-year-old children participated in a Hangul learning experiment where they were taught 6 new Korean Guljas (Korean written syllable) in each of four conditions –whole Gulja, alphabet letter, CV (consonant + vowel) body and coda subsyllabic units, and copying. Participants were separated across three reading levels, namely, emergent readers, novice readers who could read regular Hangul words, and good readers who could read regular and irregular words . Effective training met...
Source: Reading and Writing - September 29, 2019 Category: Child Development Source Type: research

Sensors, Vol. 19, Pages 4229: Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks
Sadowski In this article, the usage of deep learning (DL) in ultra-wideband (UWB) Wireless Body Area Networks (WBANs) is presented. The developed approach, using channel impulse response, allows higher efficiency in identifying the direct visibility conditions between nodes in off-body communication with comparison to the methods described in the literature. The effectiveness of the proposed deep feedforward neural network was checked on the basis of the measurement data for dynamic scenarios in an indoor environment. The obtained results clearly prove the validity of the proposed DL approach in the UWB WBANs and high...
Source: Sensors - September 29, 2019 Category: Biotechnology Authors: Krzysztof K. Cwalina Piotr Rajchowski Olga Blaszkiewicz Alicja Olejniczak Jaroslaw Sadowski Tags: Article Source Type: research

Investigation of machine learning techniques on proteomics: A comprehensive survey
Publication date: Available online 27 September 2019Source: Progress in Biophysics and Molecular BiologyAuthor(s): Pravinkumar M. Sonsare, C. GunavathiAbstractProteomics is the extensive investigation of proteins which has empowered the recognizable proof of consistently expanding quantities of protein. Proteins are necessary part of living life form, with numerous capacities. The proteome is the complete arrangement of proteins that are created or altered by a life form or framework of the organism. Proteome fluctuates with time and unambiguous prerequisites, or stresses, that a cell or organism experiences. Proteomics is...
Source: Progress in Biophysics and Molecular Biology - September 28, 2019 Category: Molecular Biology Source Type: research

Diffuse reflectance spectroscopy and Raman spectroscopy for label-free molecular characterization and automated detection of human cartilage and subchondral bone
In this study, diffuse reflectance spectroscopy and spontaneous Raman spectroscopy have been applied to human hip samples in order to characterize differences between cartilage and adjacent subchondral bone tissue. Mathematical decomposition of absorption and scattering properties is an important aspect in diffuse reflectance data analysis. Here, we present the novel application of Bayesian statistics to this analysis, which can extract probability density spectra of the absorption coefficient and the scattering coefficient. Using this concept of a Bayesian decomposition algorithm for the spectral decomposition, it was pos...
Source: Sensors and Actuators B: Chemical - September 28, 2019 Category: Chemistry Source Type: research

Application of machine learning in safety evaluation of athletes training based on physiological index monitoring
Publication date: December 2019Source: Safety Science, Volume 120Author(s): Xiao-qiu Wang, Jin YinAbstractIn order to realize the monitoring and adaptive evaluation of athletes' training safety, the physiological index monitoring and training safety evaluation method of athletes based on machine learning is put forward. Taking the physiological index parameters such as heart rate HR, maximum oxygen uptake VO2max, oxygen pulse O2P, respiratory entropy RQ, maximum ventilation (VEmax) as constraint indexes, the physiological index monitoring big data analysis model of athlete training safety evaluation is constructed. The mul...
Source: Safety Science - September 28, 2019 Category: Occupational Health Source Type: research

Ship collision avoidance methods: State-of-the-art
Publication date: January 2020Source: Safety Science, Volume 121Author(s): Yamin Huang, Linying Chen, Pengfei Chen, Rudy R. Negenborn, P.H.A.J.M. van GelderAbstractCollision prevention is critical for navigation safety at sea. At early ages, researchers aimed at developing navigational assistance systems for enhancing situational awareness of human operators as human is at the core of collision avoidance. Recently, autonomous vehicles have gained a remarkable amount of attention with a focus on solving collision problems by machines. This results in two groups of studies, both working on preventing collisions but with diff...
Source: Safety Science - September 28, 2019 Category: Occupational Health Source Type: research

Free throw performance in non-expert basketball players: The effect of dynamic motor imagery combined with action observation
Publication date: November 2019Source: Learning and Motivation, Volume 68Author(s): Nicolas Robin, Lucette Toussaint, Cédric Charles-Charlery, Guillaume R. CoudevylleAbstractWe investigated the effect of dynamic motor imagery (dMI) combined with physical practice on free throw performances of advanced basketball players in two conditions: With and without a video of a model. They performed a pre-test, participated in 5-weeks of intervention sessions, and performed a post-test. During pre-test and post-test, they performed 10-free throws followed by the “Evan Fournier test”: Maximum number of sequences of...
Source: Learning and Motivation - September 28, 2019 Category: Psychiatry & Psychology Source Type: research

Relations of patterns of perfectionism to BIS sensitivity, achievement goals and student engagement
Publication date: November 2019Source: Learning and Motivation, Volume 68Author(s): Vanja Putarek, Daria Rovan, Nina Pavlin-BernardićAbstractIn the hierarchical model of achievement motivation, achievement goals represent mediators between reinforcement sensitivity (e.g., Behavioral Inhibition System [BIS]), as a self-based antecedent variable, and student engagement, as an outcome variable. However, the manifestations of these variables and the relationships between them may differ according to the type of perfectionism. The aim of this study was to explore the differences between adaptive, maladaptive, and non-perfectio...
Source: Learning and Motivation - September 28, 2019 Category: Psychiatry & Psychology Source Type: research

Extracting drug–drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network
Publication date: Available online 27 September 2019Source: Journal of Biomedical InformaticsAuthor(s): Di Zhao, Jian Wang, Hongfei Lin, Zhihao Yang, Yijia ZhangAbstractDrug–drug interactions are critical in studying drug side effects. Thus, quickly and accurately identifying the relationship between drugs is necessary. Current methods for biomedical relation extraction include only the sequential information of sentences, while syntactic graph representations have not been explored in DDI extraction. We herein present a novel hybrid model to extract a biomedical relation that combines a bidirectional gated recurrent...
Source: Journal of Biomedical Informatics - September 28, 2019 Category: Information Technology Source Type: research

Open access: Discover the EASL campus, e-learning platform
(Source: Journal of Hepatology)
Source: Journal of Hepatology - September 28, 2019 Category: Gastroenterology Source Type: research

A case of severe peripartum cardiomyopathy requiring left ventricular assist device implantation despite the absence of late gadolinium enhancement on cardiovascular magnetic resonance imaging
Publication date: Available online 27 September 2019Source: Journal of Cardiology CasesAuthor(s): Chihiro Takuwa-Shiomi, Masataka Ogiso, Toshiaki Isogai, Ken Kato, Hiroyuki Tanaka, Takahiro Kiriu, Ai Masukawa, Hiroshi Niinami, Nobuhisa HagiwaraAbstractPeripartum cardiomyopathy (PPCM) is a rare disorder in which left ventricular (LV) systolic dysfunction and symptoms of heart failure (HF) occur in the peripartum period. The time to potential recovery from severe remodeling of ventricular function is difficult to predict. Although lack of late gadolinium enhancement (LGE) in cardiovascular magnetic resonance (CMR) is reporte...
Source: Journal of Cardiology Cases - September 28, 2019 Category: Cardiology Source Type: research

A boy with Alagille syndrome coexisting with mid-aortic syndrome and renovascular hypertension
We report a case of ALGS with MAS involving severe renal artery stenosis (RAS).CaseA four-year-old Japanese boy was referred to our hospital because of cholestatic liver dysfunction. He was diagnosed with ALGS due to having all five characteristic hallmarks. He had high blood pressure (152/84 mmHg) at his first visit. 3D-CT angiography showed coarctation of the abdominal aortic trunk, severe ostial stenosis of the celiac artery, superior mesenteric artery, and bilateral RAs. He was diagnosed with MAS, and treated with metoprolol, cilnidipine, and aspirin.DiscussionsWhile vascular abnormalities are reported to occur in...
Source: Journal of Cardiology Cases - September 28, 2019 Category: Cardiology Source Type: research

Robust deep auto-encoding Gaussian process regression for unsupervised anomaly detection
Publication date: Available online 27 September 2019Source: NeurocomputingAuthor(s): Jinan Fan, Qianru Zhang, Jialei Zhu, Meng Zhang, Zhou Yang, Hanxiang CaoAbstractUnsupervised anomaly detection (AD) is of great importance in both fundamental machine learning researches and industrial applications. Previous approaches have achieved great advance in improving the performance of unsupervised AD model recently. However, there are still some thorny issues unsolved, especially the problem of efficiency degradation when dealing with high-dimensional data and the inability to maintain robustness when dealing with contaminated da...
Source: Neurocomputing - September 28, 2019 Category: Neuroscience Source Type: research

Dual Pyramid Network for Salient Object Detection
Publication date: Available online 27 September 2019Source: NeurocomputingAuthor(s): Xuemiao Xu, Jiaxing Chen, Huaidong Zhang, Guoqiang HanAbstractSaliency detection is a fundamental yet challenging task in computer vision, aiming at identifying the most visually distinctive objects in an image. Despite promising results from recent deep learning based methods, existing works are still not sufficient to incorporate momentous global context to detect salient objects. In this work, we present a dual pyramid network (DPNet) for salient object detection by formulating self-attention mechanism into the sub-regions based context...
Source: Neurocomputing - September 28, 2019 Category: Neuroscience Source Type: research

An agent-based modeling approach to collaborative classrooms evacuation process
Publication date: January 2020Source: Safety Science, Volume 121Author(s): Camelia Delcea, Liviu-Adrian Cotfas, Liliana Craciun, Anca Gabriela MolanescuAbstractHuman behavior and the environment’s characteristics have proven to play an important role within the evacuation process as they can facilitate a shorter evacuation time. The collaborative classrooms represent a now-a-days architectural trend as, when compared to the classical classrooms, they provide a friendlier space for learning, allowing students to easily exchange information and knowledge among them and to increase their ability of working as a team in ...
Source: Safety Science - September 28, 2019 Category: Occupational Health Source Type: research

Validation d’une mesure d’orientations envers les buts au travail auprès de participants à une évaluation du potentiel et des compétences
ConclusionLa mesure fait preuve d’une validité nomologique satisfaisante et peut être utilisée afin d’étudier les réactions des gens à des situations d’apprentissage en milieu de travail.AbstractIntroductionGoal orientations are a characteristic of the personality explaining different reactions in achievement and learning situations. So far, no French instrument exists to measure this variable in a professional context.ObjectiveThe purpose of this article is to validate a French translation of the VandeWalle instrument (1997) measuring goal orientation at work, wit...
Source: European Review of Applied Psychology - September 28, 2019 Category: Psychiatry & Psychology Source Type: research

Applications of Machine Learning Approaches in Emergency Medicine; a Review Article.
Abstract Using artificial intelligence and machine learning techniques in different medical fields, especially emergency medicine is rapidly growing. In this paper, studies conducted in the recent years on using artificial intelligence in emergency medicine have been collected and assessed. These studies belonged to three categories: prediction and detection of disease; prediction of need for admission, discharge and also mortality; and machine learning based triage systems. In each of these categories, the most important studies have been chosen and accuracy and results of the algorithms have been briefly evaluat...
Source: Accident and Emergency Nursing - September 28, 2019 Category: Emergency Medicine Authors: Shafaf N, Malek H Tags: Arch Acad Emerg Med Source Type: research

Make Intelligent of Gastric Cancer Diagnosis Error in Qazvin's Medical Centers: Using Data Mining Method.
CONCLUSION: According to the findings, the SVM algorithm showed the best results in classification of Test samples. So, this intelligent system can be used as a physician assistant in medical education hospitals, where the diagnosis processes are performed by medical students.. PMID: 31554353 [PubMed - in process] (Source: Asian Pacific Journal of Cancer Prevention)
Source: Asian Pacific Journal of Cancer Prevention - September 28, 2019 Category: Cancer & Oncology Tags: Asian Pac J Cancer Prev Source Type: research

An Institutional Approach to Fostering Inclusion and Addressing Racial Bias: Implications for Diversity in Academic Medicine
. (Source: Teaching and Learning in Medicine)
Source: Teaching and Learning in Medicine - September 28, 2019 Category: Universities & Medical Training Authors: Tomas Diaz J. Renee Navarro Esther H. Chen Source Type: research

Experiential service learning: Building skills and sensitivity with Kolb ’s learning theory
. (Source: Gerentology and Geriatrics Educations)
Source: Gerentology and Geriatrics Educations - September 28, 2019 Category: Geriatrics Authors: Elizabeth M. Long Ginger Gummelt Source Type: research

Acknowledging the primacy of continuity of care experiences in midwifery education.
DISCUSSION: The inclusion of continuity of care experience in midwifery programs in Australia became mandatory in 2010 requiring 20, however this number was reduced to 10 in 2014. Research has shown the beneficial outcomes of continuity of care experience to both students and women. Continuity of care experience builds mutual support and nurturing between women and students, fosters clinical confidence, resilience, and influences career goals. We require curriculum coherence with both structural and conceptual elements focusing on continuity of care experience. IMPLICATIONS AND RECOMMENDATIONS: Education standards tha...
Source: Women Birth - September 28, 2019 Category: Midwifery Authors: Gamble J, Sidebotham M, Gilkison A, Davis D, Sweet L Tags: Women Birth Source Type: research

Mesial temporal lobe epilepsy: Revisiting the relation of hippocampal volumetry with memory deficits.
Abstract OBJECTIVE: Neuropsychological tests can infer the lateralization of the epileptogenic focus, associating verbal memory to mesial structures in the left temporal lobe and visual or nonverbal memory to the right side. High-field magnetic resonance imaging (MRI) with high-resolution protocols allows acquisitions suitable for advanced postprocessing with precise volumetry of brain structures, and functional MRI demonstrates evidence that epilepsy should be seen as a network pathology, involving several structures in the brain. Since the literature showing associations between the volumetry of brain structures...
Source: Epilepsy and Behaviour - September 28, 2019 Category: Neurology Authors: Ono SE, de Carvalho Neto A, Joaquim MJM, Dos Santos GR, de Paola L, Silvado CES Tags: Epilepsy Behav Source Type: research

Losartan modulates brain inflammation and improves mood disorders and memory impairment induced by innate immune activation: The role of PPAR- γ activation.
Losartan modulates brain inflammation and improves mood disorders and memory impairment induced by innate immune activation: The role of PPAR-γ activation. Cytokine. 2019 Sep 28;125:154860 Authors: Salmani H, Hosseini M, Baghcheghi Y, Moradi-Marjaneh R, Mokhtari-Zaer A Abstract In recent years, the role of angiotensin II (Ang II) and Ang II type 1 receptor (AT1) in the crosstalk between the immune system and the central nervous system has received more attention. The present study aimed to investigate the role of losartan, an AT1 receptor blocker, in the modulation of long-lasting adverse effect...
Source: Cytokine - September 28, 2019 Category: Molecular Biology Authors: Salmani H, Hosseini M, Baghcheghi Y, Moradi-Marjaneh R, Mokhtari-Zaer A Tags: Cytokine Source Type: research

An Institutional Approach to Fostering Inclusion and Addressing Racial Bias: Implications for Diversity in Academic Medicine.
Abstract Issue: While an increasingly diverse workforce of clinicians, researchers, and educators will be needed to address the nation's future healthcare challenges, underrepresented in medicine (UIM) perspectives remain relatively absent from academic medicine. Evidence: Prior studies have identified differential experiences within the learning environment, lack of social supports, and implicit bias in evaluations as barriers to the academic interests and successes of UIM learners. The UCSF Differences Matter initiative has shown that interventions focused on recruiting diverse academic faculty, building strong ...
Source: Teaching and Learning in Medicine - September 28, 2019 Category: Universities & Medical Training Authors: Diaz T, Navarro JR, Chen EH Tags: Teach Learn Med Source Type: research

Sensors, Vol. 19, Pages 4215: Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements
horaani Tremor is one of the main symptoms of Parkinson’s Disease (PD) that reduces the quality of life. Tremor is measured as part of the Unified Parkinson Disease Rating Scale (UPDRS) part III. However, the assessment is based on onsite physical examinations and does not fully represent the patients’ tremor experience in their day-to-day life. Our objective in this paper was to develop algorithms that, combined with wearable sensors, can estimate total Parkinsonian tremor as the patients performed a variety of free body movements. We developed two methods: an ensemble model based on gradie...
Source: Sensors - September 28, 2019 Category: Biotechnology Authors: Murtadha D. Hssayeni Joohi Jimenez-Shahed Michelle A. Burack Behnaz Ghoraani Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4216: Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals
Prasad Ultrasound based structural health monitoring of piezoelectric material is challenging if a damage changes at a microscale over time. Classifying geometrically similar damages with a difference in diameter as small as 100 μ m is difficult using conventional sensing and signal analysis approaches. Here, we use an unconventional ultrasound sensing approach that collects information of the entire bulk of the material and investigate the applicability of machine learning approaches for classifying such similar defects. Our results show that appropriate feature design combined with simple k-nearest neighb...
Source: Sensors - September 28, 2019 Category: Biotechnology Authors: Gaurav Tripathi Habib Anowarul Krishna Agarwal Dilip K. Prasad Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4218: Machine Learning-Based Fast Banknote Serial Number Recognition Using Knowledge Distillation and Bayesian Optimization
e Kim We investigated a machine-learning-based fast banknote serial number recognition method. Unlike existing methods, the proposed method not only recognizes multi-digit serial numbers simultaneously but also detects the region of interest for the serial number automatically from the input image. Furthermore, the proposed method uses knowledge distillation to compress a cumbersome deep-learning model into a simple model to achieve faster computation. To automatically decide hyperparameters for knowledge distillation, we applied the Bayesian optimization method. In experiments using Japanese Yen, Korean Won, and Euro ...
Source: Sensors - September 28, 2019 Category: Biotechnology Authors: Eunjeong Choi Somi Chae Jeongtae Kim Tags: Article Source Type: research

An Institutional Approach to Fostering Inclusion and Addressing Racial Bias: Implications for Diversity in Academic Medicine
. (Source: Teaching and Learning in Medicine)
Source: Teaching and Learning in Medicine - September 28, 2019 Category: Universities & Medical Training Authors: Tomas Diaz J. Renee Navarro Esther H. Chen Source Type: research

Experiential service learning: Building skills and sensitivity with Kolb ’s learning theory
. (Source: Gerentology and Geriatrics Educations)
Source: Gerentology and Geriatrics Educations - September 28, 2019 Category: Geriatrics Authors: Elizabeth M. Long Ginger Gummelt Source Type: research

Loss of Insulin ‐like Growth Factor‐1 Signaling in Astrocytes Disrupts Glutamate Handling
In this study, we examined whether IGF‐1 acts through its cognate receptor, IGFR, to alter astrocytic glutamate handling. We utilized both small molecule IGFR inhibitors and Cre‐driven genetic approaches to reduce IGFR in vivo and in cultured rodent astrocytes. W hen IGFR was knocked out of primary astrocytes derived fromigfrf/f mice using AAV5 ‐CMV‐Cre, significant reductions in glutamate uptake were observed. Similarly, inhibition of IGFR with picropodophyllotoxin for 2 hours, as well as 24 hours, reduced glutamate uptake in vitro. Mechanistically, short‐term inhibition of IGFR resulted in a significa...
Source: Journal of Neurochemistry - September 28, 2019 Category: Neuroscience Authors: Disha Prabhu, Sariya Khan, Katherine Blackburn, Jessica Posey, Nicole M Ashpole Tags: Original Article Source Type: research

Tabletop exercises in the nursing classroom: An introduction for nurse educators
This article introduces what tabletop exercises are, provides educator considerations for developing a nursing classroom exercise, and influences to implementing the exercise and its outcomes. (Source: Nursing Forum)
Source: Nursing Forum - September 28, 2019 Category: Nursing Authors: Cathleen A. Evans Tags: ORIGINAL ARTICLE Source Type: research

Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management
Semin Thromb Hemost DOI: 10.1055/s-0039-1697949Thrombosis development in either arterial or venous system remains a major cause of death and disability worldwide. This poorly controlled in vivo clotting could result in many severe complications including myocardial infarction, venous thromboembolism, stroke, and cerebral venous thrombosis, to name a few. These conditions are collectively known as thromboembolic disorders (TEDs). Appropriate understanding of TEDs is challenging, as they are multifactorial and involve several and often different risk factors. Hence, it requires a collective effort and data from numerous rese...
Source: Seminars in Thrombosis and Hemostasis - September 28, 2019 Category: Hematology Authors: Mishra, Aastha Ashraf, Mohammad Zahid Tags: Review Article Source Type: research

Pharmacists ’ experiences and perceptions about simulation use for learning and development of clinical skills in Kuwait
Conclusion Pharmacists in Kuwait have diverse experiences regarding simulation use for learning. They expressed positive attitudes toward simulation use for learning clinical skills. Efforts are needed to standardize and expand simulation use in the education and training of pharmacy students, trainees and practitioners to equip them with the clinical skills essential for pharmacy practice. (Source: International Journal of Clinical Pharmacy)
Source: International Journal of Clinical Pharmacy - September 28, 2019 Category: Drugs & Pharmacology Source Type: research

Dynamic assessment as a screening tool for early identification of reading disabilities: a latent change score approach
We examined whether dynamic decoding assessment (DDA) predicts growth in word reading skill during first grade using latent change score models. In addition, we compared classification accuracy of the DDA to static measures for identifying students at risk for reading disabilities (RD) designated using the dual discrepancy criteria. At the beginning of first grade, students (N  =  104) were assessed on the DDA and static measures of word reading, arithmetic, and domain-general and domain-specific skills. They were assessed again at the end of first grade on static measures of word reading and arithmetic. In D...
Source: Reading and Writing - September 28, 2019 Category: Child Development Source Type: research

Sensors, Vol. 19, Pages 4215: Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements
horaani Tremor is one of the main symptoms of Parkinson’s Disease (PD) that reduces the quality of life. Tremor is measured as part of the Unified Parkinson Disease Rating Scale (UPDRS) part III. However, the assessment is based on onsite physical examinations and does not fully represent the patients’ tremor experience in their day-to-day life. Our objective in this paper was to develop algorithms that, combined with wearable sensors, can estimate total Parkinsonian tremor as the patients performed a variety of free body movements. We developed two methods: an ensemble model based on gradie...
Source: Sensors - September 28, 2019 Category: Biotechnology Authors: Murtadha D. Hssayeni Joohi Jimenez-Shahed Michelle A. Burack Behnaz Ghoraani Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4216: Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals
Prasad Ultrasound based structural health monitoring of piezoelectric material is challenging if a damage changes at a microscale over time. Classifying geometrically similar damages with a difference in diameter as small as 100 μ m is difficult using conventional sensing and signal analysis approaches. Here, we use an unconventional ultrasound sensing approach that collects information of the entire bulk of the material and investigate the applicability of machine learning approaches for classifying such similar defects. Our results show that appropriate feature design combined with simple k-nearest neighb...
Source: Sensors - September 28, 2019 Category: Biotechnology Authors: Gaurav Tripathi Habib Anowarul Krishna Agarwal Dilip K. Prasad Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4218: Machine Learning-Based Fast Banknote Serial Number Recognition Using Knowledge Distillation and Bayesian Optimization
e Kim We investigated a machine-learning-based fast banknote serial number recognition method. Unlike existing methods, the proposed method not only recognizes multi-digit serial numbers simultaneously but also detects the region of interest for the serial number automatically from the input image. Furthermore, the proposed method uses knowledge distillation to compress a cumbersome deep-learning model into a simple model to achieve faster computation. To automatically decide hyperparameters for knowledge distillation, we applied the Bayesian optimization method. In experiments using Japanese Yen, Korean Won, and Euro ...
Source: Sensors - September 28, 2019 Category: Biotechnology Authors: Eunjeong Choi Somi Chae Jeongtae Kim Tags: Article Source Type: research