Exploring characteristics of quality in language teaching & learning: The Mother Tongue Adapted Coding Scheme (MACS)
Publication date: 4th Quarter 2020Source: Early Childhood Research Quarterly, Volume 53Author(s): Beth O’Brien, Nurul Taqiah Yussof, Poorani Vijayakumar, Malikka Begum Habib Mohamed, Xuan En Rachel Leong (Source: Early Childhood Research Quarterly)
Source: Early Childhood Research Quarterly - August 3, 2020 Category: Child Development Source Type: research

Primary Healthcare Practice Learning Environment: A description of students’ perspectives
Publication date: Available online 2 August 2020Source: International Journal of Africa Nursing SciencesAuthor(s): Soyi Joyce Mosia, Annemarie Joubert (Source: International Journal of Africa Nursing Sciences)
Source: International Journal of Africa Nursing Sciences - August 3, 2020 Category: African Health Source Type: research

Graph Convolutional Neural Networks with Global Attention for Improved Materials Property Prediction
Phys. Chem. Chem. Phys., 2020, Accepted Manuscript DOI: 10.1039/D0CP01474E, PaperSteph-Yves M Louis, Yong Zhao, Alirezaq Nasiri, Xiran Wang, Yuqi Song, Fei Liu, Jianjun Hu One of the major design issues in machine learning (ML) models for materials property prediction(MPP) is how to enable the models to learn property related physicochemical features. While many composition... The content of this RSS Feed (c) The Royal Society of Chemistry (Source: RSC - Phys. Chem. Chem. Phys. latest articles)
Source: RSC - Phys. Chem. Chem. Phys. latest articles - August 3, 2020 Category: Chemistry Authors: Steph-Yves M Louis Source Type: research

Category similarity affects study choices in self-regulated learning.
Authors: Lu X, Penney TB, Kang SHK Abstract During learning, interleaving exemplars from different categories (e.g., ABCBCACAB) rather than blocking by category (e.g., AAABBBCCC) often enhances inductive learning, especially when the categories are highly similar. However, when allowed to select their own study schedules, learners overwhelmingly tend to block rather than interleave. Category similarity has been shown to moderate the relative benefit of interleaved versus blocked study. We investigated whether learners were sensitive to category similarity when choosing exemplars for study, and whether these choices...
Source: Memory and Cognition - August 3, 2020 Category: Neuroscience Tags: Mem Cognit Source Type: research

CTumorGAN: a unified framework for automatic computed tomography tumor segmentation
ConclusionIn order to overcome those key challenges arising from CT datasets and solve some of the main problems existing in the current deep learning-based methods, we propose a novel unified CTumorGAN framework, which can be effectively generalized to address any kinds of tumor datasets with superior performance. (Source: European Journal of Nuclear Medicine and Molecular Imaging)
Source: European Journal of Nuclear Medicine and Molecular Imaging - August 3, 2020 Category: Nuclear Medicine Source Type: research

A metastatic tumor is no different to a viral pandemic: lessons learnt from COVID-19 may teach us to change the PRRT paradigm
(Source: European Journal of Nuclear Medicine and Molecular Imaging)
Source: European Journal of Nuclear Medicine and Molecular Imaging - August 3, 2020 Category: Nuclear Medicine Source Type: research

Correction to: Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes
Incorrect acknowledgments. (Source: European Journal of Nuclear Medicine and Molecular Imaging)
Source: European Journal of Nuclear Medicine and Molecular Imaging - August 3, 2020 Category: Nuclear Medicine Source Type: research

Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation
Publication date: Available online 1 August 2020Source: NeurocomputingAuthor(s): Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu (Source: Neurocomputing)
Source: Neurocomputing - August 3, 2020 Category: Neuroscience Source Type: research

A novel approach for classification of mental tasks using multiview ensemble learning (MEL)
Publication date: Available online 1 August 2020Source: NeurocomputingAuthor(s): A. Gupta, R.U. Khan, V.K. Singh, M. Tanveer, D. Kumar, A. Chakraborti, R.B. Pachori (Source: Neurocomputing)
Source: Neurocomputing - August 3, 2020 Category: Neuroscience Source Type: research

[ASAP] Converting an Environmental Sampling Methods Lecture/Laboratory Course into an Inquiry-Based Laboratory Experience during the Transition to Distance Learning
Journal of Chemical EducationDOI: 10.1021/acs.jchemed.0c00591 (Source: Journal of Chemical Education)
Source: Journal of Chemical Education - August 3, 2020 Category: Chemistry Authors: Jaime E. Mirowsky* Source Type: research

[ASAP] Attempts, Successes, and Failures of Distance Learning in the Time of COVID-19
Journal of Chemical EducationDOI: 10.1021/acs.jchemed.0c00717 (Source: Journal of Chemical Education)
Source: Journal of Chemical Education - August 3, 2020 Category: Chemistry Authors: Nicolas Dietrich* †, Kalyani Kentheswaran†‡, Aras Ahmadi†, Johanne Teychene´†, Yolaine Bessie`re†, Sandrine Alfenore†, Ste´phanie Laborie†, Dominique Bastoul†, Karine Loubie`re‡, Christelle Guigui†, Mathieu Sperandio†, Ligia Barn Source Type: research

[ASAP] Learning Coarse-Grained Potentials for Binary Fluids
Journal of Chemical Information and ModelingDOI: 10.1021/acs.jcim.0c00337 (Source: Journal of Chemical Information and Modeling)
Source: Journal of Chemical Information and Modeling - August 3, 2020 Category: Chemistry Authors: Peiyuan Gao* †, Xiu Yang‡, and Alexandre M. Tartakovsky*† Source Type: research

[ASAP] Long-Lived Hot Electron in a Metallic Particle for Plasmonics and Catalysis: < italic toggle="yes" > Ab Initio < /italic > Nonadiabatic Molecular Dynamics with Machine Learning
ACS NanoDOI: 10.1021/acsnano.0c04736 (Source: ACS Nano)
Source: ACS Nano - August 3, 2020 Category: Nanotechnology Authors: Weibin Chu †, Wissam A. Saidi*‡, and Oleg V. Prezhdo*† Source Type: research

Deep learning to find colorectal polyps in colonoscopy: a systematic literature review
Publication date: Available online 1 August 2020Source: Artificial Intelligence in MedicineAuthor(s): Luisa F. Sánchez-Peralta, Luis Bote-Curiel, Artzai Picón, Francisco M. Sánchez-Margallo, J. Blas Pagador (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - August 3, 2020 Category: Bioinformatics Source Type: research

Mindfulness and Creativity: Implications for Thinking and Learning
Publication date: Available online 1 August 2020Source: Thinking Skills and CreativityAuthor(s): Danah Henriksen, Carmen Richardson, Kyle Shack (Source: Thinking Skills and Creativity)
Source: Thinking Skills and Creativity - August 3, 2020 Category: Science Source Type: research

Communities of practice in Alberta Health Services: advancing a learning organisation
In 2009, Alberta Health Services (AHS) became Canada ’s first and largest fully integrated healthcare system, involving the amalgamation of nine regional health authorities and three provincial services. Within... (Source: Health Research Policy and Systems)
Source: Health Research Policy and Systems - August 3, 2020 Category: International Medicine & Public Health Authors: Anna M. Auer, Patricia Hanson, Barbara Brady-Fryer, Julie Alati-it and Allison L. Johnson Tags: Research Source Type: research

Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data
Deep learning has emerged as a versatile approach for predicting complex biological phenomena. However, its utility for biological discovery has so far been limited, given that generic deep neural networks pro... (Source: Genome Biology)
Source: Genome Biology - August 3, 2020 Category: Genetics & Stem Cells Authors: Nikolaus Fortelny and Christoph Bock Tags: Research Source Type: research

Learning from the Decrease in US Emergency Department Visits in Response to the COVID-19 Pandemic
Anyone who has been near an emergency department (ED) in the US since the middle of March 2020 knows that the census decreased precipitously as the coronavirus disease 2019 (COVID-19) pandemic intensified. Pundits in the medical and mass media have speculated on where ED patients, especially those with ST-segment elevation myocardial infarctions, acute strokes, and other serious conditions, had gone. In this issue, Jeffery et al carefully document that in the period preceding the influx of patients with COVID-19, the census of 24 EDs in a 5-state sample decreased between 42% and 64%; with the exception of Mount Sinai Healt...
Source: JAMA Internal Medicine - August 3, 2020 Category: Internal Medicine Source Type: research

Deep learning-based classification of posttraumatic stress disorder and depression following trauma utilizing visual and auditory markers of arousal and mood.
CONCLUSIONS: Direct clinical observation during post-trauma free speech using deep learning identifies digital markers that can be utilized to classify MDD and PTSD status. PMID: 32744201 [PubMed - as supplied by publisher] (Source: Psychological Medicine)
Source: Psychological Medicine - August 3, 2020 Category: Psychiatry Authors: Schultebraucks K, Yadav V, Shalev AY, Bonanno GA, Galatzer-Levy IR Tags: Psychol Med Source Type: research

Neurophysiologic evidence for increased retrieval suppression among negative ruminators
ConclusionThe results suggest early separation of emotional and strategic control of retrieval, but later combined control over access to working memory. Moreover, the positive correlation of brooding and the LC suggest that individuals who are high in application of perseverative strategies to memory retrieval will show greater modulation of the retrieval ‐related LC ERP. (Source: Brain and Behavior)
Source: Brain and Behavior - August 3, 2020 Category: Neurology Authors: Aarti Nair, Joshua C. Eyer, Mark E. Faust Tags: ORIGINAL RESEARCH Source Type: research

Neural production of kynurenic acid in Caenorhabditis elegans requires the AAT-1 transporter [Research Communications]
Kynurenic acid (KynA) levels link peripheral metabolic status to neural functions including learning and memory. Since neural KynA levels dampen learning capacity, KynA reduction has been proposed as a therapeutic strategy for conditions of cognitive deficit such as neurodegeneration. While KynA is generated locally within the nervous system, its precursor, kynurenine (Kyn), is largely derived from peripheral resources. The mechanisms that import Kyn into the nervous system are poorly understood. Here, we provide genetic, anatomical, biochemical, and behavioral evidence showing that in C. elegans an ortholog of the human L...
Source: Genes and Development - August 3, 2020 Category: Genetics & Stem Cells Authors: Lin, L., Lemieux, G. A., Enogieru, O. J., Giacomini, K. M., Ashrafi, K. Tags: Research Communications Source Type: research

An approach to economic evaluation in undergraduate anatomy education
AbstractMedical education research is becoming increasingly concerned with the value (defined as ‘educational outcomes per dollar spent’) of different teaching approaches. However, the financial costs of various approaches to teaching anatomy are under‐researched, making evidence‐based comparisons of the value of different teaching approaches impossible. Therefore, the aims of this stud y were to report the cost of six popular anatomy teaching methods through a specific, yet generalizable approach, and to demonstrate a process in which these results can be used in conjunction with existing effectiveness dat...
Source: Anatomical Sciences Education - August 3, 2020 Category: Anatomy Authors: Samuel D. Chumbley, Vikram S. Devaraj, Karen Mattick Tags: RESEARCH REPORT Source Type: research

Simulation-Based Mastery Learning (SBML) With Virtual Coaching – Experience in Training Standardized Upper Endoscopy to Novice Endoscopists
(Source: Gastroenterology)
Source: Gastroenterology - August 3, 2020 Category: Gastroenterology Authors: Roy Soetikno, Patricia Anne Cabral-Prodigalidad, Tonya Kaltenbach, Academy of Endoscopy (AOE) Investigators Source Type: research

An SBM-based machine learning model for identifying mild cognitive impairment in patients with Parkinson's disease
To identify Parkinson's disease with mild cognitive impairment (PD-MCI) through surface-based morphometry (SBM) based machine learning model. (Source: Journal of the Neurological Sciences)
Source: Journal of the Neurological Sciences - August 3, 2020 Category: Neurology Authors: Jiahui Zhang, You Li, Yuyuan Gao, Jinlong Hu, Biao Huang, Siming Rong, Jianing Chen, Yuhu Zhang, Limin Wang, Shujun Feng, Lijuan Wang, Kun Nie Source Type: research

Profiles of Provision for Learning in Preschool Classrooms in Rural China: Associated Quality of Teacher-child Interactions and Teacher Characteristics
. (Source: Early Education and Development)
Source: Early Education and Development - August 3, 2020 Category: Child Development Authors: Bi Ying Hu Shuang Wang Yingquan Song Sherron Killingsworth Roberts Source Type: research

A conversation with Sherri Rose, winner of the 2020 health policy statistics section mid-career award
AbstractSherri Rose, Ph.D. is an associate professor at Stanford University in the Center for Health Policy and Center for Primary Care and Outcomes Research as well as Co-Director of the joint Harvard –Stanford Health Policy Data Science Lab. A renowned expert in machine learning methodology for causal inference and prediction, her applied work has focused on risk adjustment, algorithmic fairness, health program evaluation, and comparative effectiveness research. Dr. Rose’s leadership positio ns include current roles as Co-Editor ofBiostatistics and Chair of the American Statistical Association ’s Biomet...
Source: Health Services and Outcomes Research Methodology - August 3, 2020 Category: Statistics Source Type: research

Sensors, Vol. 20, Pages 4325: Real-Time Detection of Railway Track Component via One-Stage Deep Learning Networks
Tsui Railway inspection has always been a critical task to guarantee the safety of the railway transportation. The development of deep learning technologies brings new breakthroughs in the accuracy and speed of image-based railway inspection application. In this work, a series of one-stage deep learning approaches, which are fast and accurate at the same time, are proposed to inspect the key components of railway track including rail, bolt, and clip. The inspection results show that the enhanced model, the second version of you only look once (YOLOv2), presents the best component detection performance with 93% mean av...
Source: Sensors - August 3, 2020 Category: Biotechnology Authors: Tiange Wang Fangfang Yang Kwok-Leung Tsui Tags: Article Source Type: research

Sensors, Vol. 20, Pages 4319: Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging
In this study, a novel approach for seed quality classification is presented. We developed classifier models using Fourier transform near-infrared (FT-NIR) spectroscopy and X-ray imaging techniques to predict seed germination and vigor. A forage grass (Urochloa brizantha) was used as a model species. FT-NIR spectroscopy data and radiographic images were obtained from individual seeds, and the models were created based on the following algorithms: linear discriminant analysis (LDA), partial least squares discriminant analysis (PLS-DA), random forest (RF), naive Bayes (NB), and support vector machine with radial basis (SVM-r...
Source: Sensors - August 3, 2020 Category: Biotechnology Authors: Andr é Dantas de Medeiros La ércio Junio da Silva Jo ão Paulo Oliveira Ribeiro Kamylla Calzolari Ferreira Jorge Tadeu Fim Rosas Abra ão Almeida Santos Cl íssia Barboza da Silva Tags: Letter Source Type: research

Molecules, Vol. 25, Pages 3545: Streptomyces sp. Strain MUSC 125 from Mangrove Soil in Malaysia with Anti-MRSA, Anti-Biofilm and Antioxidant Activities
Bey-Hing Goh There is an urgent need to search for new antibiotics to counter the growing number of antibiotic-resistant bacterial strains, one of which is methicillin-resistant Staphylococcus aureus (MRSA). Herein, we report a Streptomyces sp. strain MUSC 125 from mangrove soil in Malaysia which was identified using 16S rRNA phylogenetic and phenotypic analysis. The methanolic extract of strain MUSC 125 showed anti-MRSA, anti-biofilm and antioxidant activities. Strain MUSC 125 was further screened for the presence of secondary metabolite biosynthetic genes. Our results indicated that both polyketide synthase (pks) ge...
Source: Molecules - August 3, 2020 Category: Chemistry Authors: Hefa Mangzira Kemung Loh Teng-Hern Tan Kok-Gan Chan Hooi-Leng Ser Jodi Woan-Fei Law Learn-Han Lee Bey-Hing Goh Tags: Article Source Type: research

IJERPH, Vol. 17, Pages 5593: Online Newspaper Framing of Non-Communicable Diseases: Comparison of Mainland China, Taiwan, Hong Kong and Macao
heong As non-communicable diseases (NCDs) are now well recognized as the leading cause of mortality among adult populations worldwide, they are also increasingly the focus of media coverage. As such, the objective of this study is to describe the framing of NCDs in the coverage of newspapers, with the understanding that it says something about the society producing it. Automatic content analysis was employed to examine disease topics, risks, and cost consequences, thus providing lay people with a chance of learning the etiology of NCDs and information available for fighting diseases. The result of the computational met...
Source: International Journal of Environmental Research and Public Health - August 3, 2020 Category: Environmental Health Authors: Angela Chang Peter J. Schulz Angus Wenheng Cheong Tags: Article Source Type: research

PSA-based machine learning model improves prostate cancer risk stratification in a screening population
ConclusionsDevelopment of a dense neural network model  improved the diagnostic accuracy in screening for prostate cancer. These results demonstrate an additional utility of machine learning methods in prostate cancer risk stratification when using biochemical parameters. (Source: World Journal of Urology)
Source: World Journal of Urology - August 3, 2020 Category: Urology & Nephrology Source Type: research

Improved metabolic function and cognitive performance in middle-aged adults following a single dose of wild blueberry
ConclusionsThis study indicated acute cognitive benefits of WBB intake in cognitively healthy middle-aged individuals, particularly in the context of demanding tasks and cognitive fatigue. WBB improved glucose and insulin responses to a meal. Further research is required to elucidate the underlying mechanism by which WBB improves cognitive function. (Source: European Journal of Nutrition)
Source: European Journal of Nutrition - August 3, 2020 Category: Nutrition Source Type: research

The Society for Prevention Research 20 Years Later: a Summary of Training Needs
AbstractThe Society for Prevention Research (SPR) aims to continually provide relevant professional development training opportunities to advance scientific investigation of ways to improve the health, well-being, and social and educational outcomes of individuals and communities. Our study, led by the Training Needs Assessment Task Force, designed a quantitative questionnaire informed by semistructured, qualitative interviews of 13 key prevention science informants. The questionnaire was deployed to all SPR members, of which 347 completed it. Questions about training topics were asked along 8 categories: (1) theory; (2) p...
Source: Prevention Science - August 3, 2020 Category: Psychiatry & Psychology Source Type: research

Knowledge Difference of Tumor Nutrition Risk Among Thoracic Cancer Patients, Their Family Members, Physicians, and Nurses
AbstractTo investigate the difference among patients, family members, physicians, and nurses in their ability to identify malnutrition risk in patients with thoracic cancer. The enrolled patients were evaluated by the NRS2002 nutritional risk scale. The patient-centered groups, including the patient, the primary caretaker, the physician, and the nurse, were given a questionnaire on their knowledge and understanding of nutrition therapy in cancer treatment. The incidence rate of nutritional risk in hospitalized patients with thoracic cancer was 13.8%. There were significant differences in the accuracy rate of nutritional ri...
Source: Journal of Cancer Education - August 3, 2020 Category: Cancer & Oncology Source Type: research

Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study.
In this study, the effects of multiple imputation techniques MICE and FAMD on the performance of DL in the differential diagnosis were compared. The data of a retrospective cross-sectional study including 611 pediatric patients were evaluated (425 with VUR, 186 with rUTI, 26.65% missing ratio) in this research. CNTK and R 3.6.3 have been used for evaluating different models for 34 features (physical, laboratory, and imaging findings). In the differential diagnosis of VUR and rUTI, the best performance was obtained by deep learning with MICE algorithm with its values, respectively, 64.05% accuracy, 64.59% sensitivity, and 6...
Source: Biomed Res - August 2, 2020 Category: Research Authors: Köse T, Özgür S, Coşgun E, Keskinoğlu A, Keskinoğlu P Tags: Biomed Res Int Source Type: research

Multilanguage-handwriting self-powered recognition based on triboelectric nanogenerator enabled machine learning
Publication date: November 2020Source: Nano Energy, Volume 77Author(s): Weiqiang Zhang, Linfeng Deng, Lei Yang, Ping Yang, Dongfeng Diao, Pengfei Wang, Zhong Lin Wang (Source: Nano Energy)
Source: Nano Energy - August 2, 2020 Category: Nanotechnology Source Type: research

[ASAP] Dissecting Time-Evolved Conductance Behavior of Single Molecule Junctions by Nonparametric Machine Learning
The Journal of Physical Chemistry LettersDOI: 10.1021/acs.jpclett.0c01948 (Source: The Journal of Physical Chemistry Letters)
Source: The Journal of Physical Chemistry Letters - August 2, 2020 Category: Chemistry Authors: Bo Liu*, Sanae Murayama, Yuki Komoto, Makusu Tsutsui*, and Masateru Taniguchi Source Type: research

An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Authors: Wu W, Li D, Du J, Gao X, Gu W, Zhao F, Feng X, Yan H Abstract Among the currently proposed brain segmentation methods, brain tumor segmentation methods based on traditional image processing and machine learning are not ideal enough. Therefore, deep learning-based brain segmentation methods are widely used. In the brain tumor segmentation method based on deep learning, the convolutional network model has a good brain segmentation effect. The deep convolutional network model has the problems of a large number of parameters and large loss of information in the encoding and decoding process. This paper propose...
Source: Computational and Mathematical Methods in Medicine - August 2, 2020 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Memory and metamemory for social interactions: Evidence for a metamemory expectancy illusion.
Authors: Mieth L, Schaper ML, Kuhlmann BG, Bell R Abstract People do not always have accurate metacognitive awareness of the conditions that lead to good source memory. In Experiment 1, participants studied words referring to bathroom and kitchen items that were either paired with an expected or unexpected room as the source. Participants provided judgments of item and source learning after each item-source pair. In line with previous studies, participants incorrectly predicted their memory to be better for expected than for unexpected sources. Here, we show that this metamemory expectancy illusion generalizes to s...
Source: Memory and Cognition - August 2, 2020 Category: Neuroscience Tags: Mem Cognit Source Type: research

Review on intrusion detection using feature selection with machine learning techniques
Publication date: Available online 31 July 2020Source: Materials Today: ProceedingsAuthor(s): C. Kalimuthan, J. Arokia Renjit (Source: Materials Today: Proceedings)
Source: Materials Today: Proceedings - August 2, 2020 Category: Materials Science Source Type: research

Data Augmentation for Deep-Learning-Based Electroencephalography
Publication date: Available online 31 July 2020Source: Journal of Neuroscience MethodsAuthor(s): Elnaz Lashgari, Dehua Liang, Uri Maoz (Source: Journal of Neuroscience Methods)
Source: Journal of Neuroscience Methods - August 2, 2020 Category: Neuroscience Source Type: research

Automated Classification of Postural Control for Individuals With Parkinson's Disease Using a Machine Learning Approach: A Preliminary Study.
In conclusion, participants with PD exhibited impaired postural stability and their postural sway features could be identified by machine learning algorithms. PMID: 32736341 [PubMed - as supplied by publisher] (Source: Journal of Applied Biomechanics)
Source: Journal of Applied Biomechanics - August 2, 2020 Category: Sports Medicine Tags: J Appl Biomech Source Type: research

You get what you screen for: on the value of fermentation characterization in high-throughput strain improvements in industrial settings.
We describe how fermentation characterization can be used to (1) improve (high-throughput) strain design approaches; (2) enable the development of bench-scale fermentation processes compatible with a wide diversity of strains; and (3) inform the development of high-throughput plate-based strain testing procedures for improved performance at larger scales. PMID: 32743733 [PubMed - as supplied by publisher] (Source: Journal of Industrial Microbiology and Biotechnology)
Source: Journal of Industrial Microbiology and Biotechnology - August 2, 2020 Category: Microbiology Authors: Wehrs M, de Beaumont-Felt A, Goranov A, Harrigan P, de Kok S, Lieder S, Vallandingham J, Tyner K Tags: J Ind Microbiol Biotechnol Source Type: research

Complete Abdomen and Pelvis Segmentation using U-Net Variant Architecture.
CONCLUSIONS: The CNN approaches the accuracy of human tracers and on certain complex organs displays more consistent prediction than human tracers. Fully automated deep-learning based segmentation of CT abdomen has the potential to improve both the speed and accuracy of radiotherapy dose prediction for organs-at-risk. PMID: 32740931 [PubMed - as supplied by publisher] (Source: Health Physics)
Source: Health Physics - August 2, 2020 Category: Physics Authors: Weston AD, Korfiatis P, Philbrick KA, Conte GM, Kostandy P, Sakinis T, Zeinoddini A, Boonrod A, Moynagh M, Takahashi N, Erickson BJ Tags: Med Phys Source Type: research

Xanthone ‐enriched fraction of Garcinia mangostana and α‐mangostin improve the spatial learning and memory of chronic cerebral hypoperfusion rats
ConclusionsHowever, α‐MG (50 mg/kg) and XEFGM (100 mg/kg) reversed the cognitive impairment induced by CCH in MWM test. α‐MG (50 mg/kg) was further tested upon sub‐acute 14‐day treatment in CCH rats. Cognitive improvement was shown in MWM test but not in long‐term potentiation (LTP). BDNF but not CaMKII was found to be down‐regulated in CCH rats; however, both parameters were not affected by α‐MG. In conclusion, α‐MG ameliorated learning and memory deficits in both acute and sub‐acute treatments in CCH rats by improving the spatial learning but not hippocampal LTP. H...
Source: Journal of Pharmacy and Pharmacology - August 2, 2020 Category: Drugs & Pharmacology Authors: Ning Tiang, Mohamad Anuar Ahad, Vikneswaran Murugaiyah, Zurina Hassan Tags: Research Paper Source Type: research

Transforming sustainability science for practice: a social –ecological systems framework for training sustainability professionals
AbstractNew applied approaches are needed to address urgent, global environmental issues. Practitioners, scholars, and policy makers alike call for increased integration of natural and social sciences to develop new frameworks for better addressing the range of contemporary environmental issues. From a theoretical perspective, social –ecological systems (SES) offers a novel approach for enhancing sustainability science and for improving the practice of environmental management. To translate SES theory into action, education and training programs are needed that focus on the application of SES approaches across the ed...
Source: Sustainability Science - August 2, 2020 Category: Science Source Type: research

Acute cognitive deficits after traumatic brain injury predict Alzheimer ’s disease-like degradation of the human default mode network
AbstractTraumatic brain injury (TBI) and Alzheimer ’s disease (AD) are prominent neurological conditions whose neural and cognitive commonalities are poorly understood. The extent of TBI-related neurophysiological abnormalities has been hypothesized to reflect AD-like neurodegeneration because TBI can increase vulnerability to AD. However, it rema ins challenging to prognosticate AD risk partly because the functional relationship between acute posttraumatic sequelae and chronic AD-like degradation remains elusive. Here, functional magnetic resonance imaging (fMRI), network theory, and machine learning (ML) are levera...
Source: AGE - August 2, 2020 Category: Geriatrics Source Type: research

Sensors, Vol. 20, Pages 4308: Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications
Sofie Van Hoecke The wide adoption of smart machine maintenance in manufacturing is blocked by open challenges in the Industrial Internet of Things (IIoT) with regard to robustness, scalability and security. Solving these challenges is of uttermost importance to mission-critical industrial operations. Furthermore, effective application of predictive maintenance requires well-trained machine learning algorithms which on their turn require high volumes of reliable data. This paper addresses both challenges and presents the Smart Maintenance Living Lab, an open test and research platform that consists of a fleet of drive...
Source: Sensors - August 2, 2020 Category: Biotechnology Authors: Pieter Moens Vincent Bracke Colin Soete Sander Vanden Hautte Diego Nieves Avendano Ted Ooijevaar Steven Devos Bruno Volckaert Sofie Van Hoecke Tags: Article Source Type: research

IJERPH, Vol. 17, Pages 5574: Measurement Method for Evaluating the Lockdown Policies during the COVID-19 Pandemic
lnajjar Coronavirus Disease 2019 (COVID-19) has affected day to day life and slowed down the global economy. Most countries are enforcing strict quarantine to control the havoc of this highly contagious disease. Since the outbreak of COVID-19, many data analyses have been done to provide close support to decision-makers. We propose a method comprising data analytics and machine learning classification for evaluating the effectiveness of lockdown regulations. Lockdown regulations should be reviewed on a regular basis by governments, to enable reasonable control over the outbreak. The model aims to measure the efficiency...
Source: International Journal of Environmental Research and Public Health - August 2, 2020 Category: Environmental Health Authors: Mohammed Al Zobbi Belal Alsinglawi Omar Mubin Fady Alnajjar Tags: Article Source Type: research

Current Concepts in the Management of Trigger Finger in Adults.
Authors: Gil JA, Hresko AM, Weiss AC Abstract Trigger finger (TF) is one of the most common causes of hand disability. Immobilization of TF with a joint-blocking orthosis has been demonstrated to effectively relieve pain and improve function. The efficacy of steroid injections for TF varies based on the number of affected digits and the clinical severity of the condition. Up to three repeat steroid injections are effective in most patients. When conservative interventions are unsuccessful, open surgical release of the A1 pulley effectively alleviates the subjective and objective manifestations of TF and currently r...
Source: The Journal of the American Academy of Orthopaedic Surgeons - August 1, 2020 Category: Orthopaedics Tags: J Am Acad Orthop Surg Source Type: research