Facial Expression Processing Across the Autism –Psychosis Spectra: A Review of Neural Findings and Associations With Adverse Childhood Events
Autism spectrum disorder (ASD) and primary psychosis are classified as distinct neurodevelopmental disorders, yet they display overlapping epidemiological, environmental, and genetic components as well as endophenotypic similarities. For instance, both disorders are characterized by impairments in facial expression processing, a crucial skill for effective social communication, and both disorders display an increased prevalence of adverse childhood events (ACE). This narrative review provides a brief summary of findings from neuroimaging studies investigating facial expression processing in ASD and primary psychosis with a...
Source: Frontiers in Psychiatry - November 13, 2020 Category: Psychiatry Source Type: research

Altered Functional Connectivity Differences in Salience Network as a Neuromarker of Suicide Risk in Euthymic Bipolar Disorder Patients
ConclusionObtained results suggest the association between risk of suicide and activity of regions responsible for functions such as learning from mistakes, prospective thinking, and sensory integration. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 13, 2020 Category: Neuroscience Source Type: research

Commentary: Altered learning under uncertainty in unmedicated mood and anxiety disorders
(Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 13, 2020 Category: Neuroscience Source Type: research

Machine Learning for Lung CT Texture Analysis: Improvement of Inter-Observer Agreement for Radiological Finding Classification in Patients with Pulmonary Diseases
Publication date: Available online 12 November 2020Source: European Journal of RadiologyAuthor(s): Yoshiharu Ohno, Kota Aoyagi, Daisuke Takenaka, Takeshi Yoshikawa, Aina Ikezaki, Yasuko Fujisawa, Kazuhiro Murayama, Hidekazu Hattori, Hiroshi Toyama (Source: European Journal of Radiology)
Source: European Journal of Radiology - November 12, 2020 Category: Radiology Source Type: research

Individual variation in the vigor and form of Pavlovian conditioned responses: Analysis of a model system
Publication date: November 2020Source: Learning and Motivation, Volume 72Author(s): Robert C. Honey, Dominic M. Dwyer, Adela F. Iliescu (Source: Learning and Motivation)
Source: Learning and Motivation - November 12, 2020 Category: Psychiatry & Psychology Source Type: research

Aspiring for competence in a multifaceted everyday life: A qualitative study of adult students’ experiences of a blended learning master programme in Norway
Publication date: Available online 11 November 2020Source: International Journal of Nursing SciencesAuthor(s): Bodil Gjestvang, Sevald Høye, Berit Arnesveen Bronken (Source: International Journal of Nursing Sciences)
Source: International Journal of Nursing Sciences - November 12, 2020 Category: Nursing Source Type: research

So Little Time for So Many Ties: Fit Between the Social Capital Embedded in Enterprise Social Media and Individual Learning Requirements
Publication date: Available online 11 November 2020Source: Computers in Human BehaviorAuthor(s): Rong-An Shang, Yuan Sun (Source: Computers in Human Behavior)
Source: Computers in Human Behavior - November 12, 2020 Category: Information Technology Source Type: research

Fostering pre-service teachers’ situation-specific technological pedagogical knowledge – Does learning by mapping and learning from worked examples help?
Publication date: Available online 11 November 2020Source: Computers in Human BehaviorAuthor(s): Christina Wekerle, Ingo Kollar (Source: Computers in Human Behavior)
Source: Computers in Human Behavior - November 12, 2020 Category: Information Technology Source Type: research

Traumatic brain injury in the acute care setting: assessment and management practices of speech-language pathologists.
CONCLUSIONS: These results highlight the need for more consistent training about cognitive-communication deficits during and after graduate school, as well as the development of sensitive, specific, and standardized assessment tools, education protocols, and shared language for describing patients with TBI along the continuum of care. PMID: 33164599 [PubMed - as supplied by publisher] (Source: Brain Injury)
Source: Brain Injury - November 12, 2020 Category: Neurology Tags: Brain Inj Source Type: research

COVID-19 pandemic: Early effects on pediatric rehabilitation medicine training.
CONCLUSION: Trainees perceived national e-learning as valuable to their education, especially due to the access to expert leaders around the nation. Future work should explore ways to overcome barriers and optimize benefits of GME and PRM e-learning. PMID: 33164964 [PubMed - as supplied by publisher] (Source: Journal of Pediatric Rehabilitation Medicine)
Source: Journal of Pediatric Rehabilitation Medicine - November 12, 2020 Category: Rehabilitation Tags: J Pediatr Rehabil Med Source Type: research

Pediatric intrathecal baclofen management during the COVID-19 pandemic in the US and Canad.
Authors: Thomas SP, Hardesty CK, Buxton KA, Collins AB, Pruente J, Pham KLD, Sheriko J, McClanahan ME, Inanoglu D, Srinivasa R, Ridnour L, Cooper R, Khurana S, Network TPI Abstract The COVID-19 pandemic has been a challenge to healthcare systems around the world. Within pediatric rehabilitation medicine, management of intrathecal baclofen has been particularly challenging. This editorial reviews how programs in the US and Canada coped with the quickly changing healthcare environment and how we can learn from this pandemic to be prepared for future crises. PMID: 33164962 [PubMed - as supplied by publisher] (Sour...
Source: Journal of Pediatric Rehabilitation Medicine - November 12, 2020 Category: Rehabilitation Tags: J Pediatr Rehabil Med Source Type: research

Experiential learning: Giving didactics in the virtual world.
Authors: Houtrow AJ, Garcia A Abstract ??? PMID: 33164961 [PubMed - as supplied by publisher] (Source: Journal of Pediatric Rehabilitation Medicine)
Source: Journal of Pediatric Rehabilitation Medicine - November 12, 2020 Category: Rehabilitation Tags: J Pediatr Rehabil Med Source Type: research

Loss-adjusting: Young People’s Constructions of a Future Living With Complex Regional Pain Syndrome
In this study, 50 adolescents (44 females, 5 males, 1 preferred not to say) aged 14 to 25 years (mean=19.8, SD=3.68), completed an online story completion task, with a further sample of 10 completing a follow-up telephone interview. Results: Story completion data were initially analyzed deductively based on the work of Morley and colleagues using hoped-for and feared-for future codes, revealing higher instances of hope (291 over 48 stories) than fear (99 over 27 stories). These codes were subsequently analyzed alongside the in-depth interview data using inductive thematic analysis, generating 2 themes that represent...
Source: The Clinical Journal of Pain - November 12, 2020 Category: Anesthesiology Tags: Original Articles Source Type: research

FDA OKs App That Disrupts Nightmares Associated With PTSD
The Food and Drug Administration (FDA) hasapproved the marketing of NightWare —artificial intelligence software shown to reduce sleep disturbances in people experiencing nightmares related to posttraumatic stress disorder (PTSD) or nightmare disorder.In May 2019 NightWare received the FDA ’sbreakthrough device status designation, a process designed to expedite the development and review of devices that may provide for more effective treatment or diagnosis of life-threatening or irreversibly debilitating diseases or conditions.NightWare uses artificial intelligence software installed on an Apple Watch to monitor...
Source: Psychiatr News - November 12, 2020 Category: Psychiatry Tags: breakthrough device FDA nightmare disorder nightmares NightWare posttraumatic stress disorder PTSD Source Type: research

Effects of Hippeastrum reticulatum on memory, spatial learning and object recognition in a scopolamine-induced animal model of Alzheimer's disease.
Authors: Hoang THX, Ho DV, Van Phan K, Le QV, Raal A, Nguyen HT Abstract CONTEXT: The methanol extracts from Hippeastrum reticulatum (L'Hér.) Herb. (Amaryllidaceae) (HR) display acetylcholinesterase inhibitory (AChEI) activity. OBJECTIVE: AChEI of alkaloids isolated from HR bulbs and the ameliorating effects of the alkaloid fraction (AHR) on memory and cognitive dysfunction in scopolamine-treated mice were investigated. MATERIALS AND METHODS: Alkaloids were isolated by column chromatography and identified by spectroscopy. AChEI was evaluated using the modified Ellman's method. Sixty Swiss male mice w...
Source: Pharmaceutical Biology - November 12, 2020 Category: Drugs & Pharmacology Tags: Pharm Biol Source Type: research

AATS 100th Annual Meeting: A Virtual Learning Experience
All presentations from the 100th Annual Meeting are now available on demand until September 23 on aats.org. Stay tuned for details on the 101st Annual Meeting and Aortic Symposium, taking place May 1-4, 2021, in Seattle, WA. (Source: The Journal of Thoracic and Cardiovascular Surgery)
Source: The Journal of Thoracic and Cardiovascular Surgery - November 12, 2020 Category: Cardiovascular & Thoracic Surgery Tags: Announcement Source Type: research

WTSA Traveling Fellowship for Residents, Trainees, and Practicing Surgeons
The goal of this traveling fellowship is to promote interaction and learning between residents/trainees/practicing surgeons and WTSA members. The traveling fellow will visit a University-affiliated or academic practice of his/her choosing, within the boundaries of the WTSA, for a period of one to two weeks, under the sponsorship of a Western member at the hosting institution. The traveling fellow does not need to be a WTSA member; the award is open to any resident/trainee/practicing surgeon. More details are available at westernthoracic.org. (Source: The Journal of Thoracic and Cardiovascular Surgery)
Source: The Journal of Thoracic and Cardiovascular Surgery - November 12, 2020 Category: Cardiovascular & Thoracic Surgery Tags: Announcement Source Type: research

Fish Behavior for the Exotic Pet Practitioner
Interpreting fish behavior is an important component of providing veterinary care. There are over 28,000 species of fish and while only a handful are commonly encountered by exotic pet and public display veterinarians, there are still hundreds of species to consider. Three models —natural history (species typical modal action patterns), medical (disease state), and learning experience (classical and operant conditioning)—are useful for taking an actionable, holistic approach to interpreting behavior. Models help clinicians formulate appropriate differentials, ensuring th ey do not exclusively consider disease, ...
Source: Veterinary Clinics of North America: Exotic Animal Practice - November 12, 2020 Category: Veterinary Research Authors: Leigh Ann Clayton, Colin McDermott Source Type: research

Animal Behavior and Learning
Applied behavior analysis (ABA) is a relevant field for veterinarians helping clients whose animals engage in problem behaviors. In ABA, learning is defined as behavior change due to changes in the environment. Changing behavior then requires changes in conditions. Understanding the importance of control and the difference between emotional behavior and emotional feelings also is informed by ABA. Every behavior intervention should start with a systematic, analytical process called a functional assessment. Behavior change strategies are described, including an ethical procedural hierarchy based on the least intrusive, effec...
Source: Veterinary Clinics of North America: Exotic Animal Practice - November 12, 2020 Category: Veterinary Research Authors: Susan G. Friedman, Cynthia E. Stringfield, Marion R. Desmarchelier Source Type: research

Equine Oral Extraction Techniques
This article serves as a template for equine veterinarians to become proficient in basic intraoral premolar and molar extraction techniques of Equidae. Indications, equipment, and methodology are described. Numerous photos and videos are included to achieve a more immersive learning experience than can be accomplished with the written word alone. Clinicians performing these techniques will continue to improve their skillsets to achieve positive outcomes as case specifics become more challenging. (Source: Veterinary Clinics of North America: Equine Practice)
Source: Veterinary Clinics of North America: Equine Practice - November 12, 2020 Category: Veterinary Research Authors: Jon M. Gieche Source Type: research

Breakthrough healthcare technologies in the COVID-19 era: a unique opportunity for cardiovascular practitioners and patients.
CONCLUSIONS: We are confident that refinement and command of smartcare technologies will prove extremely beneficial in the short-term, but also dramatically reshape cardiovascular practice and healthcare delivery in the long-term future. PMID: 33165308 [PubMed - as supplied by publisher] (Source: Panminerva Medica)
Source: Panminerva Medica - November 12, 2020 Category: General Medicine Tags: Panminerva Med Source Type: research

Response to Letter to the Editor on: “Overview of Randomized Controlled Trials in Total Knee Arthroplasty (47,675 Patients): What Have We Learnt?”
We would like to thank you for the opportunity to respond to Dr Dossett ’s letter on our recent study entitled “Overview of Randomized Controlled Trials in Total Knee Arthroplasty (47,675 Patients): What Have We Learnt?” published in the Journal of Arthroplasty [1]. We would also like to thank Dr Dossett for his interest in our study and his constructive feedback brining his randomized controlled trial (RCT) on kinematic vs mechanical alignment in total knee arthroplasty (TKA) [2] to our attention and for his insightful comments on planning future RCTs. (Source: The Journal of Arthroplasty)
Source: The Journal of Arthroplasty - November 12, 2020 Category: Orthopaedics Authors: Hosam E. Matar, Simon R. Platt, Jeffrey D. Gollish, Hugh U. Cameron Tags: Letter to the Editor Source Type: research

Letter to the Editor on “Overview of Randomized Controlled Trials in Total Knee Arthroplasty (47,675 Patients): What Have We Learnt?”
I read with interest the article of Matar et  al “Overview of Randomized Controlled Trials in Total Knee Arthroplasty (47,675 Patients): What Have We Learnt?” [1] in the June 2020 issue. The analysis of 403 randomized controlled trials (RCTs) is an enormous task, and the authors are to be congratulated for their tremendous effort. It is q uite sobering to see that despite the work of many excellent researchers, only 8% of the RCTs showed a significant difference between the intervention and the control groups. (Source: The Journal of Arthroplasty)
Source: The Journal of Arthroplasty - November 12, 2020 Category: Orthopaedics Authors: H. Gene Dossett Tags: Letter to the Editor Source Type: research

Radiomics-Based Prediction of Long-Term Treatment Response of Vestibular Schwannomas Following Stereotactic Radiosurgery
Conclusions: Results of this study show the feasibility of predicting the long-term SRS treatment response of VS tumors on an individual basis, using MRI-based tumor texture features. These results can be exploited for further research into creating a clinical decision support system, facilitating physicians, and patients to select a personalized optimal treatment strategy. (Source: Otology and Neurotology)
Source: Otology and Neurotology - November 12, 2020 Category: ENT & OMF Tags: PROCEEDINGS FROM THE 8TH QUADRENNIAL INTERNATIONAL CONFERENCE ON VESTIBULAR SCHWANNOMA AND OTHER CEREBELLOPONTINE ANGLE TUMORS Source Type: research

Skull Base Training and Mentorship
Conclusions: Obtaining surgical mastery is essential for the teachers of skull base surgery. Hard work and practice with immediate and constant feedback on performance is an essential component to success. Creating a patient-centered culture that encourages academic achievement is an accelerator for success of a training program. Both the mentor and the mentee must play an intentional and active role to maximize learning. (Source: Otology and Neurotology)
Source: Otology and Neurotology - November 12, 2020 Category: ENT & OMF Tags: PROCEEDINGS FROM THE 8TH QUADRENNIAL INTERNATIONAL CONFERENCE ON VESTIBULAR SCHWANNOMA AND OTHER CEREBELLOPONTINE ANGLE TUMORS Source Type: research

[ASAP] DFT Accurate Interatomic Potential for Molten NaCl from Machine Learning
The Journal of Physical Chemistry CDOI: 10.1021/acs.jpcc.0c08870 (Source: The Journal of Physical Chemistry C)
Source: The Journal of Physical Chemistry C - November 12, 2020 Category: Chemistry Authors: Samuel Tovey, Anand Narayanan Krishnamoorthy, Ganesh Sivaraman, Jicheng Guo, Chris Benmore, Andreas Heuer, and Christian Holm Source Type: research

The Importance of Motor Skills for Development.
Authors: Adolph KE, Hoch JE Abstract Motor skills are important for development. Everything infants do involves motor skills - postural, locomotor, and manual actions; exploratory actions; social interactions; and actions with artifacts. Put another way, all behavior is motor behavior, and thus motor skill acquisition is synonymous with behavioral development. Age norms for basic motor skills provide useful diagnostics for "typical" development, but cultural differences in child-rearing practices influence skill onset ages. Whenever they emerge, motor skills lay the foundation for development by opening u...
Source: Nestlee Nutrition Institute Workshop Series - November 12, 2020 Category: Nutrition Tags: Nestle Nutr Inst Workshop Ser Source Type: research

Machine Learning Methods to Evaluate the Depression Status of Chinese Recruits: A Diagnostic Study
(Source: Neuropsychiatric Disease and Treatment)
Source: Neuropsychiatric Disease and Treatment - November 12, 2020 Category: Psychiatry Tags: Neuropsychiatric Disease and Treatment Source Type: research

Fast Retrograde Access to Projection Neuron Circuits Underlying Vocal Learning in Songbirds
Publication date: 10 November 2020Source: Cell Reports, Volume 33, Issue 6Author(s): Daniel N. Düring, Falk Dittrich, Mariana D. Rocha, Ryosuke O. Tachibana, Chihiro Mori, Kazuo Okanoya, Roman Boehringer, Benjamin Ehret, Benjamin F. Grewe, Stefan Gerber, Shouwen Ma, Melanie Rauch, Jean-Charles Paterna, Robert Kasper, Manfred Gahr, Richard H.R. Hahnloser (Source: Cell Reports)
Source: Cell Reports - November 12, 2020 Category: Cytology Source Type: research

Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma.
Abstract Methods: The MRI images, genetic data, and clinical data of 152 patients with GBM were analyzed. 122 patients from the TCIA dataset (training set: n = 82; validation set: n = 40) and 30 patients from local hospitals were used as an independent test dataset. Radiomics features were extracted from multiple regions of multiparameter MRI. Kaplan-Meier survival analysis was used to verify the ability of the imaging signature to predict the response of GBM patients to radiotherapy before an operation. Multivariate Cox regression including radiomics signature and preoperative clinical risk factors was used to fu...
Source: Behavioural Neurology - November 12, 2020 Category: Neurology Authors: Pan ZQ, Zhang SJ, Wang XL, Jiao YX, Qiu JJ Tags: Behav Neurol Source Type: research

A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
This study aims to develop an automatic scheme for classifying thyroid and breast lesions in ultrasound images using deep convolutional neural networks (DCNN). In particular, we propose a generic DCNN architecture with transfer learning and the same architectural parameter settings to train models for thyroid and breast cancers (TNet and BNet) respectively, and test the viability of such a generic approach with ultrasound images collected from clinical practices. In addition, the potentials of the thyroid model in learning the common features and its performance of classifying both breast and thyroid lesions are investigat...
Source: Ultrasonics - November 12, 2020 Category: Physics Authors: Zhu YC, AlZoubi A, Jassim S, Jiang Q, Zhang Y, Wang YB, Ye XD, DU H Tags: Ultrasonics Source Type: research

Endothelial cell senescence: A systematic review and machine learning-based meta-analysis of transcriptomic studies.
Abstract Numerous systemic vascular dysfunction that leads to age-related diseases is highly associated with endothelial cell senescence; thus, identifying consensus features of endothelial cell senescence is crucial in understanding the mechanisms and identifying potential therapeutic targets. Here, by utilizing a total of 8 screened studies from four different origins, we have successfully obtained common features in both gene and pathway level via sophisticated machine learning algorithms. A total of 400 differentially expressed genes (DEGs) were newly discovered with meta-analysis when compared to the usage of...
Source: Ageing Research Reviews - November 12, 2020 Category: Genetics & Stem Cells Authors: Park HS, Kim SY Tags: Ageing Res Rev Source Type: research

Neuromorphic Photoelectric Devices: Vertical 0D ‐Perovskite/2D‐MoS2 van der Waals Heterojunction Phototransistor for Emulating Photoelectric‐Synergistically Classical Pavlovian Conditioning and Neural Coding Dynamics (Small 45/2020)
In article number2005217, Jun He, Jie Jiang, and co ‐workers demonstrate a novel neuromorphic photoelectric device of vertical van der Waals heterojunction phototransistor based on colloidal zero‐dimensional CsPbBr3‐quantum‐dots/two‐dimensional MoS2 heterojunction channel with a polymer ion ‐gel electrolyte as the gate dielectric. Efficiency‐adjustable photoelectronic Pavlovian associative learning and photoelectronic‐hybrid neuronal gain modulation can be successfully achieved by utilizing the spatiotemporal and photoelectronic synergy approach. (Source: Small)
Source: Small - November 12, 2020 Category: Nanotechnology Authors: Yongchao Cheng, Huangjinwei Li, Biao Liu, Leyong Jiang, Min Liu, Han Huang, Junliang Yang, Jun He, Jie Jiang Tags: Inside Front Cover Source Type: research

Prolonged hospital length of stay in pediatric trauma: a model for targeted interventions.
CONCLUSIONS: The high performance of the machine learning model coupled with statistical inference from the mixed effects model provide an opportunity for targeted interventions to improve quality of care of trauma patients likely to require long length of stay. IMPACT: Targeted interventions on high-risk patients would improve the quality of care of pediatric trauma patients and reduce the length of stay. This comprehensive study includes data from multiple hospitals analyzed with advanced statistical and machine learning models. The statistical and machine learning models provide opportunities for targeted intervent...
Source: Pediatric Research - November 12, 2020 Category: Pediatrics Authors: Gibbs D, Ehwerhemuepha L, Moreno T, Guner Y, Yu P, Schomberg J, Wallace E, Feaster W Tags: Pediatr Res Source Type: research

Distinct Patterns of Repetition Suppression in Fragile X Syndrome, Down Syndrome, Tuberous Sclerosis Complex and Mutations in SYNGAP1.
laam F, Michaud J, Lippé S Abstract Sensory processing is the gateway to information processing and more complex processes such as learning. Alterations in sensory processing is a common phenotype of many genetic syndromes associated with intellectual disability (ID). It is currently unknown whether sensory processing alterations converge or diverge on brain responses between syndromes. Here, we compare for the first time four genetic conditions with ID using the same basic sensory learning paradigm. One hundred and five participants, aged between 3 to 30 years old, composing four clinical ID groups and one...
Source: Brain Research - November 12, 2020 Category: Neurology Authors: Côté V, Lalancette È, Knoth IS, Côté L, Agbogba K, Vannasing P, Major P, Barlaam F, Michaud J, Lippé S Tags: Brain Res Source Type: research

Corrigendum to "Hippocampal HECT E3 ligase inhibition facilitates consolidation, retrieval, and reconsolidation, and inhibits extinction of contextual fear memory". [Neurobiol. Learn. Memory 167 (2020) 107-135].
Corrigendum to "Hippocampal HECT E3 ligase inhibition facilitates consolidation, retrieval, and reconsolidation, and inhibits extinction of contextual fear memory". [Neurobiol. Learn. Memory 167 (2020) 107-135]. Neurobiol Learn Mem. 2020 Nov 12;:107329 Authors: Redondo J, Popik B, Casagrande M, Silva MO, Quillfeldt JA, Alvares LO, Mello E Souza T PMID: 33189507 [PubMed - as supplied by publisher] (Source: Neurobiology of Learning and Memory)
Source: Neurobiology of Learning and Memory - November 12, 2020 Category: Neurology Authors: Redondo J, Popik B, Casagrande M, Silva MO, Quillfeldt JA, Alvares LO, Mello E Souza T Tags: Neurobiol Learn Mem Source Type: research

Discovery of novel GABAAR allosteric modulators through reinforcement learning.
CONCLUSION: Reinforcement learning guided virtual screening is a viable method for the discovery of novel molecules that modulate a difficult to screen transmembrane receptor. PMID: 33185154 [PubMed - as supplied by publisher] (Source: Current Pharmaceutical Design)
Source: Current Pharmaceutical Design - November 12, 2020 Category: Drugs & Pharmacology Authors: Michaeli A, Lerner I, Zatsepin M, Mezan S, Kilshtain AV Tags: Curr Pharm Des Source Type: research

Machine learning methods in prediction of protein palmitoylation sites: A brief review.
Abstract Protein palmitoylation is a fundamental and reversible post-translational lipid modification that involves a series of biological processes. Although a large number of experimental studies have explored the molecular mechanism behind the palmitoylation process, the computational methods has attracted much attention for its good performance in predicting palmitoylation sites compared with expensive and time-consuming biochemical experiments. The prediction of protein palmitoylation sites is helpful to reveal its biological mechanism. Therefore, the research on the application of machine learning methods to...
Source: Current Pharmaceutical Design - November 12, 2020 Category: Drugs & Pharmacology Authors: Li Y, Pu F, Wang J, Zhou Z, Zhang C, He F, Ma Z, Zhang J Tags: Curr Pharm Des Source Type: research

Correction to: Field Test Results of Sex- and Gender-Specific Health Multimedia Case-Based Learning Modules, by Casanova, R. et al. J Women's Health 2019;28(12):1755 –1761. DOI: 10.1089/jwh.2018.7504
Journal of Women's Health,Volume 29, Issue 11, Page 1486-1486, November 2020. (Source: Journal of Women)
Source: Journal of Women - November 12, 2020 Category: OBGYN Source Type: research

Graphene Oxide Ameliorates the Cognitive Impairment Through Inhibiting PI3K/Akt/mTOR Pathway to Induce Autophagy in AD Mouse Model.
Abstract Alzheimer's disease (AD) is a neurodegenerative disease of the central nervous system characterised by cognitive impairment. Its major pathological feature is the deposition of β-amyloid (Aβ) peptide, which triggers a series of pathological cascades. Autophagy is a main pathway to eliminate abnormal aggregated proteins, and increasing autophagy represents a plausible treatment strategy against relative overproduction of neurotoxic Aβ. Graphene oxide (GO) is an emerging carbon-based nanomaterial. As a derivative of graphene with neuroprotective effects, it can effectively increase the cleara...
Source: Neurochemical Research - November 12, 2020 Category: Neuroscience Authors: Chu F, Li K, Li X, Xu L, Huang J, Yang Z Tags: Neurochem Res Source Type: research

Leveraging machine learning for predicting human body model response in restraint design simulations.
The objective of this study was to leverage and compare multiple machine learning techniques for predicting the human body model response in restraint design simulations. Parametric simulations with 16 independent variables were performed. Ordinary least-squares (OLS), least absolute shrinkage and selection operator (LASSO), neural network (NN), support vector regression (SVR), regression forest (RF), and an ensemble method were used to develop response surface models of the simulations. The hyperparameters of the machine learning techniques were optimized through grid search and cross-validation to avoid under-fitting and...
Source: Computer Methods in Biomechanics and Biomedical Engineering - November 12, 2020 Category: Biomedical Engineering Authors: Joodaki H, Gepner B, Kerrigan J Tags: Comput Methods Biomech Biomed Engin Source Type: research

Development and evaluation of a deep learning based artificial intelligence for automatic identification of gold fiducial markers in an MRI-only prostate radiotherapy workflow.
sson LE Abstract Identification of prostate gold fiducial markers in magnetic resonance imaging (MRI) images is challenging when CT images are not available, due to misclassifications from intra-prostatic calcifications. It is also a time consuming task and automated identification methods have been suggested as an improvement for both objectives. Multi-echo gradient echo (MEGRE) images have been utilized for manual fiducial identification with 100% detection accuracy. The aim is therefore to develop an automatic deep learning based method for fiducial identification in MRI images intended for MRI-only prostate ra...
Source: Physics in Medicine and Biology - November 12, 2020 Category: Physics Authors: Gustafsson CJ, Swärd J, Adalbjörnsson SI, Jakobsson A, Olsson LE Tags: Phys Med Biol Source Type: research

DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy.
Abstract Emerging magnetic resonance (MRI) guided radiotherapy affords significantly improved anatomy visualization and, subsequently, more effective personalized treatment. The new therapy paradigm imposes significant demands on radiation dose calculation quality and speed, creating an unmet need for the acceleration of Monte Carlo (MC) dose calculation. Existing deep learning approaches to denoise the final plan MC dose fail to achieve the accuracy and speed requirements of large-scale beamlet dose calculation in the presence of a strong magnetic field for online adaptive radiotherapy (OART) planning. Our deep l...
Source: Physics in Medicine and Biology - November 12, 2020 Category: Physics Authors: Neph R, Lyu Q, Huang Y, Yang YM, Sheng K Tags: Phys Med Biol Source Type: research

Data-driven dose calculation algorithm based on deep U-Net.
In this study we performed a feasibility investigation on implementing a fast and accurate dose calculation based on a deep learning technique. A two dimensional (2D) fluence map was first converted into a three dimensional (3D) volume using ray traversal algorithm. A 3D U-Net like deep residual network was then established to learn a mapping between this converted 3D volume, CT and 3D dose distribution. Therefore an indirect relationship was built between a fluence map and its corresponding 3D dose distribution without using significantly complex neural networks. 200 patients, including nasopharyngeal, lung, rectum and br...
Source: Physics in Medicine and Biology - November 12, 2020 Category: Physics Authors: Fan J, Xing L, Dong P, Wang J, Hu W, Yang Y Tags: Phys Med Biol Source Type: research

Electro-descriptors for the performance prediction of electro-organic synthesis.
Abstract Electrochemical organic synthesis has attracted increasing attentions from both scientific and industrial communities as a sustainable and versatile synthetic platform. Quantitative assessment of the electro-organic reactions, including reaction thermodynamics, interfacial kinetics and coupled chemical processes, highlights the uniqueness of electro-synthesis and can lead to the development of analytical tool to guide their future design. Here we study the thermodynamics, electro-kinetics and performance (yield) of electro-organic reactions with different mechanisms, and conclude that electrochemical para...
Source: Angewandte Chemie - November 12, 2020 Category: Chemistry Authors: Chen Y, Tian B, Cheng Z, Li X, Huang M, Sun Y, Liu S, Cheng X, Li S, Ding M Tags: Angew Chem Int Ed Engl Source Type: research

L2 vocabulary acquisition of early sequentially bilingual children with TD and DLD affected differently by exposure and age of onset.
CONCLUSIONS & IMPLICATIONS: Bilingual children with TD and DLD can be differentiated by using L2 vocabulary tests when exposure is taken into consideration. Non-significant AoO effects in 3-7 year olds suggest flexibility in terms of when to start L2 immersion. However, exposure is important, and especially children with DLD would need a substantial amount of it relative to their TD peers, so that they would not fall even further behind over time. Differences in benefiting from exposure in receptive mode might offer clinicians and kindergarten personnel an insight for evaluating challenges in bilingual development. Sev...
Source: International Journal of Language and Communication Disorders - November 12, 2020 Category: Speech-Language Pathology Authors: Smolander S, Laasonen M, Arkkila E, Lahti-Nuuttila P, Kunnari S Tags: Int J Lang Commun Disord Source Type: research

Neuromorphic Photoelectric Devices: Vertical 0D ‐Perovskite/2D‐MoS2 van der Waals Heterojunction Phototransistor for Emulating Photoelectric‐Synergistically Classical Pavlovian Conditioning and Neural Coding Dynamics (Small 45/2020)
In article number2005217, Jun He, Jie Jiang, and co ‐workers demonstrate a novel neuromorphic photoelectric device of vertical van der Waals heterojunction phototransistor based on colloidal zero‐dimensional CsPbBr3‐quantum‐dots/two‐dimensional MoS2 heterojunction channel with a polymer ion ‐gel electrolyte as the gate dielectric. Efficiency‐adjustable photoelectronic Pavlovian associative learning and photoelectronic‐hybrid neuronal gain modulation can be successfully achieved by utilizing the spatiotemporal and photoelectronic synergy approach. (Source: Small)
Source: Small - November 12, 2020 Category: Nanotechnology Authors: Yongchao Cheng, Huangjinwei Li, Biao Liu, Leyong Jiang, Min Liu, Han Huang, Junliang Yang, Jun He, Jie Jiang Tags: Inside Front Cover Source Type: research

Assessing Asian Medical Students' Readiness for Diversity: Localizing Measures of Cross-Cultural Care Competence.
This study shows how a questionnaire designed by and for an American medical institution situated in a highly diverse society can be adapted so that its findings serve as a baseline for medical education programs in Taiwan, and perhaps in other countries that are beginning to acknowledge hitherto "hidden" diversity. This study also has implications which indicate that CCC is crucial in the delivery of appropriate care by members of the medical profession to diverse patients. PMID: 33181028 [PubMed - as supplied by publisher] (Source: Teaching and Learning in Medicine)
Source: Teaching and Learning in Medicine - November 12, 2020 Category: Universities & Medical Training Authors: Lu PY, Tsai JC, Green A, Hsu ASC Tags: Teach Learn Med Source Type: research

Interventions that support adults with brain injuries, learning disabilities and autistic spectrum disorders in dating or romantic relationships: a systematic review.
CONCLUSIONS: More high-quality studies are needed to assess the effectiveness of interventions. Also, greater consensus is needed on the key behaviors for dating and relationships and the measures to assess these. IMPLICATIONS FOR REHABILITATION Intimate relationships are important to quality of life, but challenging for many people in neuro-atypical populations. There are a small number of researched interventions to support dating or marital relationships among adults with ABI, ASD or learning disabilities. Rehabilitation professionals should ask about dating and relationships and support people if this area is identifie...
Source: Disability and Rehabilitation - November 12, 2020 Category: Rehabilitation Authors: Exell R, Hilari K, Behn N Tags: Disabil Rehabil Source Type: research

How can we inspire nations of learners? An investigation of growth mindset and challenge-seeking in two countries.
Abstract Here we evaluate the potential for growth mindset interventions (that teach students that intellectual abilities can be developed) to inspire adolescents to be "learners"-that is, to seek out challenging learning experiences. In a previous analysis, the U.S. National Study of Learning Mindsets (NSLM) showed that a growth mindset could improve the grades of lower-achieving adolescents, and, in an exploratory analysis, increase enrollment in advanced math courses across achievement levels. Yet, the importance of being a "learner" in today's global economy requires clarification and repli...
Source: The American Psychologist - November 12, 2020 Category: Psychiatry & Psychology Authors: Rege M, Hanselman P, Solli IF, Dweck CS, Ludvigsen S, Bettinger E, Crosnoe R, Muller C, Walton G, Duckworth A, Yeager DS Tags: Am Psychol Source Type: research