Sensors, Vol. 20, Pages 447: Automatic Hierarchical Classification of Kelps Using Deep Residual Features
Gary A. Kendrick Across the globe, remote image data is rapidly being collected for the assessment of benthic communities from shallow to extremely deep waters on continental slopes to the abyssal seas. Exploiting this data is presently limited by the time it takes for experts to identify organisms found in these images. With this limitation in mind, a large effort has been made globally to introduce automation and machine learning algorithms to accelerate both classification and assessment of marine benthic biota. One major issue lies with organisms that move with swell and currents, such as kelps. This paper present...
Source: Sensors - January 13, 2020 Category: Biotechnology Authors: Ammar Mahmood Ana Giraldo Ospina Mohammed Bennamoun Senjian An Ferdous Sohel Farid Boussaid Renae Hovey Robert B. Fisher Gary A. Kendrick Tags: Article Source Type: research

VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning
by Jiwoong Kim, David E. Greenberg, Reed Pifer, Shuang Jiang, Guanghua Xiao, Samuel A. Shelburne, Andrew Koh, Yang Xie, Xiaowei Zhan Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of determining AMR rely on inefficient phenotypic approaches, and there remains incomplete understanding of AMR mechanisms for many pathogen-antimicrobial combinations. Given the rapid, ongoing increase in ava ilability of high-density genomic data for a diverse array of bacteria, development of algorithms that could utilize genomic information to predict phenotype could both be useful clinically and ass...
Source: PLoS Computational Biology - January 13, 2020 Category: Biology Authors: Jiwoong Kim Source Type: research

Electronic health records for the diagnosis of rare diseases
With the emergence of electronic health records, the reuse of clinical data offers new perspectives for the diagnosis and management of patients with rare diseases. However, there are many locks for the repurposing of clinical data. The development of decision support systems depends on the ability: to recruit patients; then to extract and integrate the patients ’ data; to mine and stratify these data; and to integrate the decision support algorithm into the patient care. This last step requires an adaptability of the electronic health records to integrate learning health system tools. (Source: Kidney International)
Source: Kidney International - January 13, 2020 Category: Urology & Nephrology Authors: Nicolas Garcelon, Anita Burgun, R émi Salomon, Antoine Neuraz Tags: Review Source Type: research

The learning curve for robotic-assisted pyeloplasty in children: Our initial experience from a single center
Conclusions: The evaluation of the learning curve of RALP for this group of patients concluded that total operative time for RALP, performed by the pediatric urology team, steadily decreased with collective surgical experience. (Source: Urology Annals)
Source: Urology Annals - January 13, 2020 Category: Urology & Nephrology Authors: Noor Nabi Junejo Anwar Alotaibi Saeed Malwi Alshahrani Ahmad Alshammari Craig A Peters Hamdan Alhazmi Santiago A Vallasciani Source Type: research

High-throughput discovery of genetic determinants of circadian misalignment
by Tao Zhang, Pancheng Xie, Yingying Dong, Zhiwei Liu, Fei Zhou, Dejing Pan, Zhengyun Huang, Qiaocheng Zhai, Yue Gu, Qingyu Wu, Nobuhiko Tanaka, Yuichi Obata, Allan Bradley, Christopher J. Lelliott, Sanger Institute Mouse Genetics Project , Lauryl M. J. Nutter, Colin McKerlie, Ann M. Flenniken, Marie-France Champy, Tania Sorg, Yann Herault, Martin Hrabe De Angelis, Valerie Gailus Durner, Ann-Marie Mallon, Steve D. M. Brown, Terry Meehan, Helen E. Parkinson, Damian Smedley, K. C. Kent Lloyd, Jun Yan, Xiang Gao, Je Kyung Seong, Chi-Kuang Leo Wang, Radislav Sedlacek, Yi Liu, Jan Rozman, Ling Yang, Ying Xu Circadian systems p...
Source: PLoS Genetics - January 13, 2020 Category: Genetics & Stem Cells Authors: Tao Zhang Source Type: research

IJERPH, Vol. 17, Pages 498: Analysis of Relevant Features from Photoplethysmographic Signals for Atrial Fibrillation Classification
This study is divided into two stages: (a) a systematic review carried out following the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) statement in six databases, in order to identify the features of the PPG signal reported in the literature for the detection of AF, and (b) an experimental evaluation of them, using machine learning, in order to determine which have the greatest influence on the process of detecting AF. Forty-four features were found when analyzing the signal in the time, frequency, or time–frequency domains. From those 44 ...
Source: International Journal of Environmental Research and Public Health - January 13, 2020 Category: Environmental Health Authors: C ésar A. Millán Nathalia A. Gir ón Diego M. Lopez Tags: Article Source Type: research

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling to Machine Learning
Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of indicator dilution principles and dynamic contrast-enhanced ultrasound (DCE-US) imaging. UCAs are microbubbles encapsulated in a biocompatible shell. With a rheology comparable to that of red blood cells, UCAs provide an intravascular indicator for functional imaging of the (micro)vasculature by quantitative DCE-US. Several models of the UCA intravascular kinetics have been proposed to provide functional quantitative maps, aiding diagnosis of different pathological conditions. (Source: Ultrasound in Medicine and Biology)
Source: Ultrasound in Medicine and Biology - January 13, 2020 Category: Radiology Authors: Simona Turco, Peter Frinking, Rogier Wildeboer, Marcel Arditi, Hessel Wijkstra, Jonathan R. Lindner, Massimo Mischi Tags: Review Article Source Type: research

Deep Learning-Based Super-resolution Ultrasound Speckle Tracking Velocimetry
In this study, we propose a deep learning-based super-resolution ultrasound (DL-SRU), which employs the concept of deep-ULM and a convolutional neural network. The network is trained with synthetic tracer images to localize positions of red blood cells (RBCs) and reconstruct vessel geometry at high resolution, even for CA-free ultrasound (US) images. (Source: Ultrasound in Medicine and Biology)
Source: Ultrasound in Medicine and Biology - January 13, 2020 Category: Radiology Authors: Jun Hong Park, Woorak Choi, Gun Young Yoon, Sang Joon Lee Tags: Original Contribution Source Type: research

Implementing Culinary Medicine Training: Collaboratively Learning the Way Forward
This article identifies core components and strategies to overcome barriers on the basis of experiences of multiple institutions. The outline forms a foundation to be built upon by future collaborators to empower more widespread implementation of culinary medicine education and improve medical nutrition education and ultimately, patient outcomes. (Source: Journal of Nutrition Education and Behavior)
Source: Journal of Nutrition Education and Behavior - January 13, 2020 Category: Nutrition Authors: Kelsey Sicker, Diane Habash, Lisa Hamilton, Nicolas G. Nelson, Laura Robertson-Boyd, Ala K. Shaikhkhalil Tags: Report Source Type: research

Evaluation of a program of pharmaceutical counseling for French patients on oral anticoagulant therapy
AbstractBackground Oral anticoagulants are widely used for treatment and prevention of thromboembolic diseases. We set up a pharmaceutical counseling program for both direct oral anticoagulant and vitamin K antagonist drugs in our hospital in 2015.Objective Evaluate patient satisfaction and the evolution of their knowledge throughout the pharmaceutical counseling program on anticoagulants and identify knowledge variability factors.Setting Cardiology Inpatient Unit from the University Antoine B éclère Hospital, France.Methods Evaluation was based on data collection of patients surveyed between 2015 and 2018. I...
Source: International Journal of Clinical Pharmacy - January 13, 2020 Category: Drugs & Pharmacology Source Type: research

The Impact of Simulation on Graduate Entry Master's Students' Confidence to Provide Safe Patient Care: A Longitudinal Study
This study explores the effect of simulation on graduate entry master's students' confidence to provide safe patient care. (Source: Clinical Simulation in Nursing)
Source: Clinical Simulation in Nursing - January 13, 2020 Category: Nursing Authors: Janie Brown, Michelle A. Kelly, Shirley McGough, Anna Fagence, Anna Maria Bosco, Jaci Mason, Matthew A. Albrecht Tags: Featured Article Source Type: research

Teaching American Government Content to Students with Developmental Disabilities Using Technology and Constant Time Delay
In this study, two 18-year-old students with developmental disabilities received technology-supported instruction to assist with learning the content in their co-taught American government class. Two interventionists (i.e., a special education teacher and a researcher) implemented video modeling and used constant time delay procedures to teach the pictorial sequencing of three social studies topics on an iPad ®. As a secondary measure, students verbally explained the picture sequences. Researchers used a multiple probe design across behaviors and replicated across participants. Visual analysis indicated a functional re...
Source: Journal of Developmental and Physical Disabilities - January 13, 2020 Category: Disability Source Type: research

Decisions about consonant doubling among non-native speakers of English: graphotactic and phonological influences
This study examined the extent to which such influences apply to non-native speakers of English, who presumably have less knowledge of English graphotactics and phonology and less opportunity to be explicitly instructed, and whether such influences vary as a function of first language (L1) background. Eighty-five university students in Beijing who study English as a second language (ESL) with contrasting L1 backgrounds (46 Chinese and 39 Korean,Mage = 20.51 years,SD = 1.95) completed a nonword spelling task and a standardized English spelling ability test. In the nonword spelling task, part...
Source: Reading and Writing - January 13, 2020 Category: Child Development Source Type: research

Sensors, Vol. 20, Pages 439: Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle
In this study, an adaptive iterative learning algorithm is proposed to optimize the turning parameters, which accounts for the dynamic characteristics of unmanned surface vehicles (USVs). The resulting optimal turning radius and speed are used to generate the path and speed profiles. The simulation results show that the proposed path-smoothing and speed profile design algorithms can largely increase the path-following performance, which potentially can help to improve the measurement accuracy of various activities. (Source: Sensors)
Source: Sensors - January 13, 2020 Category: Biotechnology Authors: Yang Yang Quan Li Junnan Zhang Yangmin Xie Tags: Article Source Type: research

Investigating wintertime air pollution in Hangzhou, China
AbstractHangzhou, one of the most prosperous cities in China, suffered from severe air quality degradation in wintertime, and the ambient atmospheric particulate matter (PM) has become the most public-concerning air pollutant. In this work, a case study in wintry Hangzhou is made, for analysis of air pollutants and prediction of PM2.5/PM10 using two machine learning models, recurrent neural network (RNN) and random forest. The results signify that statistic-based and inventory-free machine learning is competently alternative to the inventory-predicted atmospheric models. Variable importance (VI) indicates that CO was the p...
Source: Air Quality, Atmosphere and Health - January 13, 2020 Category: Environmental Health Source Type: research

Towards competency-based learning in medical education: Building evidence in India
N RegeJournal of Postgraduate Medicine 2020 66(1):9-10 (Source: Journal of Postgraduate Medicine)
Source: Journal of Postgraduate Medicine - January 13, 2020 Category: Internal Medicine Authors: N Rege Source Type: research

Introduction of case-based learning aided by WhatsApp messenger in pathology teaching for medical students
Conclusion: CBL aided by WhatsApp helped students acquire knowledge, discuss and learn actively, score more, and retain better than DL. Using WhatsApp as a platform helped them to interact at their ease and seek guidance from their mentors without resistance and hesitation. (Source: Journal of Postgraduate Medicine)
Source: Journal of Postgraduate Medicine - January 13, 2020 Category: Internal Medicine Authors: S Grover B Garg N Sood Source Type: research

Altered brain structures in the dorsal and ventral language pathways in individuals with and without developmental language disorder (DLD)
AbstractDevelopmental Language Disorder (DLD) is a neurodevelopmental disorder characterized by difficulty learning and using language, and this difficulty cannot be attributed to other developmental conditions. The aim of the current study was to examine structural differences in dorsal and ventral language pathways between adolescents and young adults with and without DLD (age range: 14 –27 years) using anatomical magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). Results showed age-related structural brain differences in both dorsal and ventral pathways in individuals with DLD. These finding...
Source: Brain Imaging and Behavior - January 13, 2020 Category: Neurology Source Type: research

21st Century Approaches for Evaluating Exposures, biological activity, and risks of complex substances: Workshop highlights
Publication date: Available online 11 January 2020Source: Regulatory Toxicology and PharmacologyAuthor(s): Ursula G. Sauer, Robert A. Barter, Richard A. Becker, Emilio Benfenati, Elisabet Berggren, Bruno Hubesch, Heli M. Hollnagel, Kunifumi Inawaka, Athena M. Keene, Philipp Mayer, Kathleen Plotzke, Robert Skoglund, Océane AlbertAbstractThe June 2019 workshop 21st Century Approaches for Evaluating Exposures, Biological Activity, and Risks of Complex Substances, co-organised by the International Council of Chemical Association's Long-Range Research Initiative and the European Commission's Joint Research Centre, is sum...
Source: Regulatory Toxicology and Pharmacology - January 12, 2020 Category: Toxicology Source Type: research

The complications of the HoLEP learning curve. A systematic review
ConclusionComplication rates in HoLC are not higher than those reported by traditional techniques. HoLEP learning should not be delayed for fear of increasing complications or their severity.ResumenAntecedentesLa enucleación prostática con laser de Holmio (HoLEP) podría mejorar los resultados y tener menores tasas de complicaciones que las técnicas tradicionales (resección transuretral y prostatectomía abierta) en la desobstrucción quirúrgica prostática. A pesar de esto, su uso no se ha extendido en la urología a nivel mundial. La alta tasa de complicaci...
Source: Actas Urologicas Espanolas - January 12, 2020 Category: Urology & Nephrology Source Type: research

Compositional Framework for Multitask Learning in the Identification of Cleavage Sites of HIV-1 protease
In this study, a set of peptide data from one source is referred as ‘task’ and to integrate interactions from multiple tasks; our method exploits the common features and parameters sharing across the data source. The proposed framework uses feature integration, feature selection, multi-kernel and multifactorial evolutionary algorithm to model multitask learning. The framework considered seven different feature descriptors and four different kernel variants of support vector machines to form the optimal multi-kernel learning model. To validate the effectiveness of the model, the performance parameters such as av...
Source: Journal of Biomedical Informatics - January 12, 2020 Category: Information Technology Source Type: research

DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.
We present the design of DrKnow, a web-based learning application that utilises a clinical decision support system (CDSS) and virtual cases to support the development of problem-solving and decision-making skills in medical students. Based on the clinical information they request and prioritise, DrKnow provides personalised feedback to help students develop differential and provisional diagnoses at key decision points as they work through the virtual cases. Once students make a final diagnosis, DrKnow presents students with information about their overall diagnostic performance as well as recommendations for diagnosing sim...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.
Authors: Le TT, Blackwood NO, Taroni JN, Fu W, Breitenstein MK Abstract Clusters of differentiation (CD) are cell surface biomarkers that denote key biological differences between cell types and disease state. CD-targeting therapeutic monoclonal antibodies (mABs) afford rich trans-disease repositioning opportunities. Within a compendium of systemic lupus erythematous (SLE) patients, we applied the Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB) to profile de novo gene expression features affecting CD20, CD22 and CD30 gene aberrance. First, a novel Relief-based algorithm identified int...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes.
Authors: Lybarger K, Yetisgen M, Ostendorf M Abstract Substance abuse carries many negative health consequences. Detailed information about patients' substance abuse history is usually captured in free-text clinical notes. Automatic extraction of substance abuse information is vital to assess patients' risk for developing certain diseases and adverse outcomes. We introduce a novel neural architecture to automatically extract substance abuse information. The model, which uses multi-task learning, outperformed previous work and several baselines created using discrete models. The classifier obtained 0.88-0.95 F1 for ...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research.
Authors: Major V, Surkis A, Aphinyanaphongs Y Abstract Conventional text classification models make a bag-of-words assumption reducing text into word occurrence counts per document. Recent algorithms such as word2vec are capable of learning semantic meaning and similarity between words in an entirely unsupervised manner using a contextual window and doing so much faster than previous methods. Each word is projected into vector space such that similar meaning words such as "strong" and "powerful" are projected into the same general Euclidean space. Open questions about these embeddings include th...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

A Frame-Based NLP System for Cancer-Related Information Extraction.
Authors: Si Y, Roberts K Abstract We propose a frame-based natural language processing (NLP) method that extracts cancer-related information from clinical narratives. We focus on three frames: cancer diagnosis, cancer therapeutic procedure, and tumor description. We utilize a deep learning-based approach, bidirectional Long Short-term Memory (LSTM) Conditional Random Field (CRF), which uses both character and word embeddings. The system consists of two constituent sequence classifiers: a frame identification (lexical unit) classifier and a frame element classifier. The classifier achieves an F1 of 93.70 for cancer ...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Clinical text annotation - what factors are associated with the cost of time?
In this study, we aimed to investigate how factors inherent to the text affect annotation time for a named entity recognition (NER) task. We recruited 9 users to annotate a clinical corpus and recorded annotation time for each sample. Then we defined a set of factors that we hypothesized might affect annotation time, and fitted them into a linear regression model to predict annotation time. The linear regression model achieved an R2 of 0.611, and revealed eight time-associated factors, including characteristics of sentences, individual users, and annotation order with implications for the practice of annotation, and the de...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Toward Reporting Support and Quality Assessment for Learning from Reporting: A Necessary Data Elements Model for Narrative Medication Error Reports.
This study holds promise in bridging the gap between the low quality of narrative reports and the needs of analyzing and learning from medication errors. PMID: 30815204 [PubMed - indexed for MEDLINE] (Source: AMIA Annual Symposium Proceedings)
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Learning When Communications Between Healthcare Providers Indicate Hormonal Therapy Medication Discontinuation.
Authors: Yin Z, Warner JL, Malin BA Abstract Hormonal therapy is an effective yet challenging long-term treatment for patients with hormone receptor positive breast cancer. Understanding what factors indicate discontinuation of a recommended hormonal therapy medication can help improve treatment experience. To date, studies on medication discontinuation have focused on patient information gathered through questionnaires, structured electronic medical records and online discussion boards. However, there has been little investigation into the communications between healthcare providers, which may provide additional i...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Analyzing Medication Error Reports in Clinical Settings: An Automated Pipeline Approach.
Authors: Zhou S, Kang H, Yao B, Gong Y Abstract Medication error is a severe patient safety event in the United States. Medication error reports collected by Patient Safety Organizations provide an opportunity to analyze and learn from previous errors. However, the current workflow of analyzing the error reports is labor-intensive and time-consuming. To reduce the workloads for clinicians and save time, we developed a pipeline for medication error report pre-analysis by applying automated text classification techniques. The pipeline was proven functional in two tasks, i.e., identifying the error originated stages, ...
Source: AMIA Annual Symposium Proceedings - January 12, 2020 Category: Bioinformatics Tags: AMIA Annu Symp Proc Source Type: research

Neural stem cell transplantation improves learning and memory by protecting cholinergic neurons and restoring synaptic impairment in an amyloid precursor protein/presenilin 1 transgenic mouse model of Alzheimer's disease.
In conclusion, the present study revealed that NSC transplantation improved learning and memory functions in an AD mouse model. This treatment allowed repairing of basal forebrain cholinergic neurons and increased the expression of the cognition‑related proteins SYP, PSD‑95 and MAP‑2 in the hippocampus. PMID: 31922229 [PubMed - as supplied by publisher] (Source: Molecular Medicine Reports)
Source: Molecular Medicine Reports - January 12, 2020 Category: Molecular Biology Tags: Mol Med Rep Source Type: research

Predicting opioid misuse at the population level is different from identifying opioid misuse in individual patients
Publication date: February 2020Source: Preventive Medicine, Volume 131Author(s): Dong-Chul Seo, Dae-Hee Han, Shieun LeeAbstractTumin and Bhalla mentioned challenges associated with the use of population-based survey and machine learning (ML) results on adolescent opioid misuse to clinical settings. In a clinical setting, medical providers do know patient's identity. So, it is not surprising that drug misuse is rarely identified through patient's self-report especially if it involves illicit drug. Even though self-report is susceptible to bias, it is a valid and affordable tool to gather data on illicit drug use at the popu...
Source: Preventive Medicine - January 12, 2020 Category: International Medicine & Public Health Source Type: research

Successful salvage of the left pulmonary artery in a neonate with isolated unilateral absence of the pulmonary artery
Publication date: Available online 10 January 2020Source: Journal of Cardiology CasesAuthor(s): Kota Kawada, Hirofumi Saiki, Manabu Kemmochi, Seiko Kuwata, Manabu Takanashi, Kagami Miyaji, Hideaki SenzakiAbstractIsolated unilateral absence of the pulmonary artery (UAPA) is a congenital anomaly where involution of the extrapulmonary PA is insufficient and the intrapulmonary PA is only fed by the ductus arteriosus. Affected lung disorder causes complications years after ductus closure; thus, early diagnosis is of importance to avoid these complications. Here, we present the case of a male infant who was admitted to the neona...
Source: Journal of Cardiology Cases - January 12, 2020 Category: Cardiology Source Type: research

Pharmacometrics and machine learning partner to advance clinical data analysis.
Abstract Clinical pharmacology is a multi-disciplinary data sciences field that utilizes mathematical and statistical methods to generate maximal knowledge from data. Pharmacometrics (PMX) is a well-recognized tool to characterize disease progression, pharmacokinetics and risk factors. Since the amount of data produced keeps growing with increasing pace, the computational effort necessary for PMX models is also increasing. Additionally, computationally efficient methods such as machine learning (ML) are becoming increasingly important in medicine. However, ML is currently not an integrated part of PMX, for various...
Source: Clinical Pharmacology and Therapeutics - January 12, 2020 Category: Drugs & Pharmacology Authors: Koch G, Pfister M, Daunhawer I, Wilbaux M, Wellmann S, Vogt JE Tags: Clin Pharmacol Ther Source Type: research

Cognitive function of children and adolescents with congenital adrenal hyperplasia: importance of early diagnosis.
CONCLUSION: Children and adolescents with CAH who were diagnosed early via a neonatal screening program and treated with hydrocortisone had normal psychometric intelligence and executive functions. PMID: 31927590 [PubMed - as supplied by publisher] (Source: The Journal of Clinical Endocrinology and Metabolism)
Source: The Journal of Clinical Endocrinology and Metabolism - January 12, 2020 Category: Endocrinology Authors: Messina V, Karlsson L, Hirvikoski T, Nordenström A, Lajic S Tags: J Clin Endocrinol Metab Source Type: research

Effects of the cognitive stimulation therapy based on Roy's adaptation model on Alzheimer's patients ’ cognitive functions, coping‐adaptation skills, and quality of life: A randomized controlled trial
This study aims to specify the effects of Cognitive Stimulation Therapy based on Roy's adaptation model (RAM) on Alzheimer's patients ’ coping and adaptation skills, cognitive functions, and quality of life (QOL).Design and methodsThis is an experimental and randomized controlled trial. Patients in the experimental group received cognitive stimulation therapy (CST) based on RAM.FindingsThe cognitive function level of the experimental group was found to be higher than that of the control group at the end of the measurements (performed in the 7th week); the difference was found to be statistically significant (P 
Source: Perspectives in Psychiatric Care - January 12, 2020 Category: Psychiatry Authors: Neslihan Lok, Kadriye Buldukoglu, Ebru Barcin Tags: ORIGINAL ARTICLE Source Type: research

Salivary cortisol as a non-invasive window on the brain
Publication date: Available online 10 January 2020Source: International Review of NeurobiologyAuthor(s): Angela Clow, Nina SmythAbstractThe validation of accurate and meaningful assessment of cortisol in saliva samples has proved revolutionary in stress research. Its many advantages have expanded the scope of investigation from traditional laboratory and clinical settings to include multidisciplinary and community-based research. These developments have given rise to a wealth insight into the links between stress and health. Here we highlight the potential of salivary cortisol as both a product and mediator of brain functi...
Source: International Review of Neurobiology - January 11, 2020 Category: Neuroscience Source Type: research

Ratio of naturally retained 15N to 13C in rat brain regions as a marker of brain function and activity
Publication date: Available online 10 January 2020Source: Neuroscience ResearchAuthor(s): Yoshihisa Kudo, Eitaro WadaAbstractOur aim in the present study was to clarify the activity-dependent and function-associated retention of stable isotopes (SIs) in rat brain regions. We measured regional distributions of the natural stable isotopes 15N and 13C in brain using a mass spectrometer with a dual inlet system and a double collector for ratiometry, and compared them with distributions obtained from internal organs and skeletal muscle. Although levels of 15N and 13C were very high in brain regions of prenatal rats, and robustl...
Source: Neuroscience Research - January 11, 2020 Category: Neuroscience Source Type: research

Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification
Publication date: Available online 10 January 2020Source: NeurocomputingAuthor(s): Weijiang Li, Fang Qi, Ming Tang, Zhengtao YuAbstractThere are a lot of linguistic knowledge and sentiment resources nowadays, but in the current research with deep learning framework, these kinds of unique sentiment information are not fully used in sentiment analysis tasks. Moreover, the sentiment analysis task can be seen as a sequence model, and the sequence model has a problem: the model will decode the input file sequences into a specific length vector. If the length of the vectors is set too short, the input text information will be lo...
Source: Neurocomputing - January 11, 2020 Category: Neuroscience Source Type: research

Feature selection for multi-label learning with streaming label
Publication date: Available online 10 January 2020Source: NeurocomputingAuthor(s): Jinghua Liu, Yuwen Li, Wei Weng, Jia Zhang, Baihua Chen, Shunxiang WuAbstractMulti-label feature selection has drawn wide attention in recent years. The existing multi-label feature selection algorithms mainly assume that the labels of the training data are obtained before feature selection takes place. However, this assumption does not always founded because the acquisition of labeling data is costly. In real-world applications, the available labels usually arrive one by one over time. To address this problem, we develop a novel multi-label...
Source: Neurocomputing - January 11, 2020 Category: Neuroscience Source Type: research

A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the Recognition of Walking Activities and Gait Events using Wearable Sensors
Publication date: Available online 10 January 2020Source: NeurocomputingAuthor(s): Adrian Rubio-Solis, George Panoutsos, Carlos Beltran-Perez, Uriel Martinez-HernandezAbstractIn this paper, a novel Multilayer Interval Type-2 Fuzzy Extreme Learning Machine (ML-IT2-FELM) for the recognition of walking activities and Gait events is presented. The ML-IT2-FELM uses a hierarchical learning scheme that consists of multiple layers of IT2 Fuzzy Autoencoders (FAEs), followed by a final classification layer based on an IT2-FELM architecture. The core building block in the ML-IT2-FELM is the IT2-FELM, which is a generalised model of t...
Source: Neurocomputing - January 11, 2020 Category: Neuroscience Source Type: research

Parent migration and rural preschool children's early academic and social skill trajectories in China: Are ‘left-behind’ children really left behind?
We examined early trajectories for academic and social skills among four groups of rural, preschool-attending, children in the Guangdong province of China: Village children (N = 176) who remained in a rural village and lived with both parents, Migrant children (N = 79) who migrated with their work-seeking parents to live in an urban area, Partially-left-behind children (N = 63) who lived with one parent in a rural village while the other parent migrated to the city for work, and Completely-left-behind children (N = 57) who stayed in a rural village with relatives while both parents migrated to the city for ...
Source: Early Childhood Research Quarterly - January 11, 2020 Category: Child Development Source Type: research

113. A Social Media Exploration of Pro-Anorexia Groups: How to Reduce Risk, Increase Autonomy, and Create Healthy Online Communities
This study utilizes a mixed methods approach, bridging thematic analysis with computational approaches using machine learning and natural language processing, to identify areas of opportunity to engage users, reduce restrictions on free speech/exchange of ideas, and identify clinical areas of opportunity in the ED population. (Source: Journal of Adolescent Health)
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: Kyle A. McGregor, Olivia Marie Clancy, Margaret E. Whicker Source Type: research

91. Evaluation of an Educational Intervention among Pediatric and Medicine-Pediatric Residents to Promote Healthcare Transition Planning
Most pediatric providers are ill-equipped to help patients learn the skills needed to effectively manage their adult healthcare. In order to initiate a successful transition from pediatric to adult care, medical providers need knowledge and skills in this area which starts with introducing transition care to medical residents during residency. An electronic medical record-based Transition Planning Tool (TPT) was developed to guide provider-patient interactions and provide resources addressing patient deficits in knowledge/skills regarding healthcare self-management. (Source: Journal of Adolescent Health)
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: Constance M. Wiemann, Heather E. Needham, Demonica L. Jones, Albert C. Hergenroeder Source Type: research

84. Adaptations to Overdose Education Naloxone Distribution Programs for High-Risk Adolescents in Juvenile Detention: Positive Outcomes from the Overdose Rescue Net Program
Overdose Rescue NET (Narcan Emergency Training) is an overdose prevention naloxone distribution (OEND) program that has been adapted for teens in juvenile detention facilities in New Mexico. Independent of their personal drug use, this population of teens is at high risk of witnessing an opioid overdose in their community and can benefit from an OEND program that creates engagement and fosters learning. Rescue NET program adaptations for teens consider context, needs, experiences and culture. (Source: Journal of Adolescent Health)
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: Melanie A. Baca, Stephanie Chambers, Annemarie Madaras Source Type: research

180. Reaching Students Where they Learn- A Model School-Based Health Clinic and How a Health-Care Education Partnership Can Facilitate Investigations to Improve Teen Health
Describe a residency training program ’s model for a healthcare-education sector partnership, how our work with schools achieves residency, school and community goals, and how we are able to use our partnership to conduct new investigations that further these goals. We will share findings from two current investigations at the school based clinic at Southwest High School. The first is a health improvement assessment that evaluates student demographics, social support, childhood experiences, school clinic utilization, and clinic satisfaction. (Source: Journal of Adolescent Health)
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: Sabrina M. Owens, Janani Sankara, Shaila Serpas Source Type: research

181. Experiences of Bullying among College Students and Implications for Teacher Formation Programmes: From Bullied to Bully
Bullying in schools and colleges has significant negative impacts on individuals and learning environments. College students are an important sub-group of adolescents and young people. Teacher preparation programmes play a vital role. (Source: Journal of Adolescent Health)
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: John Howard, Kezang Sherab, Ugyen Choden Source Type: research

165. Non-Medical Body Modification (Body-Mod) Strategies Among Transgender and Gender Diverse (TG/GD) Adolescents and Young Adults
TG/GD patients presenting to gender health clinics often use Body-Mods to change the appearance of their bodies to reflect their gender identity. These methods include chest binding or padding; genital tucking or packing to modify groin contour; “pumping” with silicone to enhance lips, hips and/or buttocks; hair removal; and diet and exercise regimens. Little research has described the perceived risks and benefits of Body-Mods, or the prevalence of these methods and their medical side effects. The aims of this study are to describe 1) t he types and prevalence of Body-Mods, 2) perceived risks and benefits, 3) s...
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: Mai-Anh Tran Ngoc, Katherine Greenberg, Paula Amina Alio, Scott McIntosh, Constance Baldwin Source Type: research

142. Current Knowledge, Perceptions, and Implementations of Trauma-Informed Teaching Practices in Two Connecticut Public Schools
The purpose of this study is to assess teachers ’ knowledge and awareness about behavioral and health outcomes of toxic stress on high school students and assess their perceived benefits and barriers to implementing trauma-informed teaching practices. Aim 1: Assess baseline knowledge of teachers in regards to toxic stress and its prevalence and impact on students. Aim 2: Assess teacher knowledge on trauma-informed practices and learn their perceived or observed benefits. Aim 3: Determine the current barriers present for implementation of trauma-informed practices. (Source: Journal of Adolescent Health)
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: Saumya Kumar Source Type: research

238. Is There an Ideal Age to Disclose HIV-Status to Youth Who are Unaware that They are Living With HIV to Maximize the Likelihood of Ongoing Viral Load Suppression?
Globally, there are 1.8 million children under 15 living with HIV. Recent estimates indicate over 70 new cases of pediatric HIV are identified annually, and nearly 2,000 children are living with HIV in the United States. The WHO recommends disclosure of HIV-status between 6-12 years, and the American Academy of Pediatrics recommends youth are informed at “school age.” Neither institution suggests an optimal age when children should learn of their infection. Considering the criticality of viral load suppression we preliminarily assessed the relationship between the age of HIV-status disclosure and longitudinal v...
Source: Journal of Adolescent Health - January 11, 2020 Category: Child Development Authors: Lori Mills, Lauren EB. Marefka, Sequoya A. Eady, Dayna Cook, Tina Simpson, Henna Budhwani Source Type: research