Muscle loss in elderly patients - prevention effects of a multimodal therapy program for low back pain
In this study we demonstrated that multimodal therapy is an efficient alternative intervention to strengthen the back muscles and by this to increase muscle growth in the areas of extension and flexion as well as lateralization and rotation on both sides.Material and methods52 patients aged between 50 and 65 with a main diagnosis of back disease were examined prospective. They completed a 3-week inpatient multimodal therapy program. Effects of the program were assessed by applying two isometric strength measurements of the back muscles. Baseline measurement (T0) was done on the first day of the program and post measurement...
Source: Journal of Public Health - November 5, 2019 Category: Health Management Source Type: research

IJERPH, Vol. 16, Pages 4300: Patient Perspectives to Inform a Health Literacy Educational Program: A Systematic Review and Thematic Synthesis of Qualitative Studies
F. de Winter Patient-centred care is tailored to the needs of patients and is necessary for better health outcomes, especially for individuals with limited health literacy (LHL). However, its implementation remains challenging. The key to effectively address patient-centred care is to include perspectives of patients with LHL within the curricula of (future) healthcare providers (HCP). This systematic review aimed to explore and synthesize evidence on the needs, experiences and preferences of patients with LHL and to inform an existing educational framework. We searched three databases: PsychInfo, Medline and Cinahl, ...
Source: International Journal of Environmental Research and Public Health - November 5, 2019 Category: Environmental Health Authors: Margot Jager Janine de Zeeuw Janne Tullius Roberta Papa Cinzia Giammarchi Amanda Whittal Andrea F. de Winter Tags: Review Source Type: research

Supervision training in healthcare: a realist synthesis
AbstractSupervision matters: it serves educational, supportive and management functions. Despite a plethora of evidence on the effectiveness of supervision, scant evidence for the impact of supervision training exists. While three previous literature reviews have begun to examine the effectiveness of supervision training, they fail to explore the extent to which supervision training works, for whom, and why. We adopted a realist approach to answer the question: to what extent do supervision training interventions work (or not), for whom and in what circumstances, and why? We conducted a team-based realist synthesis of the ...
Source: Advances in Health Sciences Education - November 5, 2019 Category: Universities & Medical Training Source Type: research

Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets
AbstractThere are growing concerns about the generalizability of machine learning classifiers in neuroimaging. In order to evaluate this aspect across relatively large heterogeneous populations, we investigated four disorders: Autism spectrum disorder (N = 988), Attention deficit hyperactivity disorder (N = 930), Post-traumatic stress disorder (N = 87) and Alzheimer’s disease (N = 132). We applied 18 different machine learning classifiers (based on diverse principles) wherein the training/validation and the hold-out test data belonged to samples with the same di...
Source: Brain Imaging and Behavior - November 5, 2019 Category: Neurology Source Type: research

White Matter Abnormalities Linked to Interferon, Stress Response, and Energy Metabolism Gene Expression Changes in Older HIV-Positive Patients on Antiretroviral Therapy
In this study, gene expression profiling was performed on frontal white matter from 34 older HIV+ individuals on HAART (18 with NCI) and 24 HIV-negative controls. We used the NanoString nCounter platform to evaluate 933 probes targeting inflammation, interferon and stress responses, energy metabolism, and central nervous system-related genes. Viral loads were measured using single-copy assays. Compared to HIV − controls, HIV+ individuals exhibited increased expression of genes related to interferon, MHC-1, and stress responses, myeloid cells, and T cells and decreased expression of genes associated with oligodendrocy...
Source: Molecular Neurobiology - November 5, 2019 Category: Neurology Source Type: research

Discordant Reporting of Partner Labels, HIV Testing and Sexual Behavior Among a Sample of Partnered Men Who have Sex with Men in the US
AbstractThere is growing evidence that sexual behaviors among male couples are strongly shaped by emotional and quality characteristics of the relationship, and that the labels that men attach to their relationships may indicate how men perceive and engage in risk taking. There has been a lack of attention to how male couples label their relationships, and how discordant understandings of relationship labels may shape HIV risk behavior. Using data from a sample of 804 partnered men who have sex with men, this analysis examines associations between discordant relationship labeling and participation in HIV testing and sexual...
Source: AIDS and Behavior - November 5, 2019 Category: Infectious Diseases Source Type: research

Cerebral venous congestion promotes blood-brain barrier disruption and neuroinflammation, impairing cognitive function in mice
AbstractCognitive impairment is one of the most common co-occurring chronic conditions among elderly heart failure patients (incidence: up to ~ 80%); however, the underlying mechanisms are not completely understood. It is hypothesized that in addition to decreased cardiac output, increases in central —and consequentially, cerebral—venous pressure (backward failure) also contribute significantly to the genesis of cognitive impairment. To test this hypothesis and elucidate the specific pathogenic role of venous congestion in the brain, we have established a novel model of increased cerebral ve nous pressure: mice...
Source: AGE - November 5, 2019 Category: Geriatrics Source Type: research

Radiomics-Based Machine Learning Technology Enables Better Differentiation Between Glioblastoma and Anaplastic Oligodendroglioma
Conclusion: This study indicates radiomics-based machine learning has the potential to be utilized in clinically discriminating GBM from AO. (Source: Frontiers in Oncology)
Source: Frontiers in Oncology - November 5, 2019 Category: Cancer & Oncology Source Type: research

Sensors, Vol. 19, Pages 4812: Analyte Quantity Detection from Lateral Flow Assay Using a Smartphone
oon Chong Lateral flow assay (LFA) technology has recently received interest in the biochemical field since it is simple, low-cost, and rapid, while conventional laboratory test procedures are complicated, expensive, and time-consuming. In this paper, we propose a robust smartphone-based analyte detection method that estimates the amount of analyte on an LFA strip using a smartphone camera. The proposed method can maintain high estimation accuracy under various illumination conditions without additional devices, unlike conventional methods. The robustness and simplicity of the proposed method are enabled by novel image...
Source: Sensors - November 5, 2019 Category: Biotechnology Authors: Kamrul H. Foysal Sung Eun Seo Min Ju Kim Oh Seok Kwon Jo Woon Chong Tags: Article Source Type: research

IJERPH, Vol. 16, Pages 4288: Effectiveness of the e-NurSus Children Intervention in the Training of Nursing Students
-Martos Isabel M. López-Medina The paediatric population is the most vulnerable to exposure to environmental risk factors. Institutions of higher education have to equip nursing students with the attitudes, knowledge, and skills to respond to this using blended learning. The aim of this study was to evaluate the effect of e-NurSus Children intervention on student nurses’ attitudes, knowledge, and skills. A quasi-experimental study of time series was designed using pre and post educational intervention evaluation in 2018. The participants were nursing students (N = 267) from Spain (n = 110) and th...
Source: International Journal of Environmental Research and Public Health - November 5, 2019 Category: Environmental Health Authors: Cristina Álvarez-García Carmen Álvarez-Nieto Janet Kelsey Rachel Carter Sebasti án Sanz-Martos Isabel M. L ópez-Medina Tags: Article Source Type: research

Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research
In recent years, the development of high-throughput screening (HTS) technologies and their establishment in an industrialized environment have given scientists the possibility to test millions of molecules and profile them against a multitude of biological targets in a short period of time, generating data in a much faster pace and with a higher quality than before. Besides the structure activity data from traditional bioassays, more complex assays such as transcriptomics profiling or imaging have also been established as routine profiling experiments thanks to the advancement of Next Generation Sequencing or automated mic...
Source: Frontiers in Pharmacology - November 5, 2019 Category: Drugs & Pharmacology Source Type: research

Machine Learning For Tuning, Selection, And Ensemble Of Multiple Risk Scores For Predicting Type 2 Diabetes
(Source: Risk Management and Healthcare Policy)
Source: Risk Management and Healthcare Policy - November 4, 2019 Category: Health Management Tags: Risk Management and Healthcare Policy Source Type: research

Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [ 18 F]-fluorodeoxyglucose positron emission tomography/computed tomography
ConclusionThis is the first study to use deep learning model for assessing18F-FDG PET/CT images which is capable of predicting treatment outcomes in cervical cancer patients.Key Points• This is the first study to use deep learning model for assessing18F-FDG PET/CT images which is capable of predicting treatment outcomes in cervical cancer patients.• All 142 patients with cervical cancer underwent18F-FDG PET/CT for pretreatment staging and received allocated treatment. To augment the amount of image data, each tumor was represented as 11 slice sets each of which contains 3 2D orthogonal slices to acquire a total o...
Source: European Radiology - November 4, 2019 Category: Radiology Source Type: research

Short-Stay Palliative Pain Management for Southwestern VA: Process Improvement Plan
The increased demand for palliative care services has led to concerns surrounding workforce knowledge and resiliency, specifically with regard to palliative pain management for patients with life-limiting illnesses. Educational preparedness of nurses along with best processes and practices is necessary to promote optimal care for patients requiring palliative pain management. Through analyzing Veterans Administration Strategic Analytics for Improvement and Learning data, a deficiency in short-stay self-reported palliative patient pain management at the Southwestern Veterans Administration Medical Center, a level 1B, tertia...
Source: Journal of Hospice and Palliative Nursing - November 4, 2019 Category: Nursing Tags: Feature Articles Source Type: research

“Horrific” treatment of children with learning disabilities must be ended, say MPs and peers
(Source: BMJ News)
Source: BMJ News - November 4, 2019 Category: General Medicine Source Type: research

A population-based study of the treatment effect of first-line ipilimumab for metastatic or unresectable melanoma
Ipilimumab is an anti-CTLA4 monoclonal antibody with demonstrated efficacy for metastatic melanoma in randomized controlled trials, including in the first-line setting. Population-based outcomes directly compared with historic chemotherapy treatment in metastatic or unresectable melanoma are lacking. Using population-based data from the province of Ontario, the benefit of first-line ipilimumab was estimated by comparing outcomes of patients treated with first-line dacarbazine over the period 2007–2009 with patients treated over the period 2010–2015 with first-line ipilimumab. Cutaneous and noncutaneous cases we...
Source: Melanoma Research - November 4, 2019 Category: Cancer & Oncology Tags: Original Articles: Clinical Research Source Type: research

Enhancing the Relevance and Effectiveness of a Youth Gambling Prevention Program for Urban, Minority Youth: A Pilot Study of Maryland Smart Choices
AbstractYouth with problem gambling behaviors are susceptible to serious academic, behavioral, and mental health consequences including school failure, criminal involvement, and depression. Coupled with increased exposure to gambling formats, issues related to youth gambling have been deemed a serious public health issue requiring increased prevention efforts. However, the literature is limited in terms of evidence-based gambling prevention programs warranting the development of TheMaryland Smart Choices Program (MD-Smart Choices), a gambling prevention program for middle and high school youth. This 3-session, 45-min progr...
Source: Journal of Gambling Studies - November 4, 2019 Category: Addiction Source Type: research

Experience in R&D collaborations, innovative performance and the moderating effect of different dimensions of absorptive capacity
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Marios Kafouros, James H Love, Panagiotis Ganotakis, Palitha KonaraAbstractUsing a multi-stage research design and insights from organizational learning theory, we investigate how experience in R&D collaboration with different types of domestic and foreign partners (customers, suppliers, competitors) influences the formation of new R&D collaborations with foreign partners, and how such collaborations in turn affect firms’ innovative performance. Our framework, which is tested against a sample of 8800 firms ...
Source: Technological Forecasting and Social Change - November 4, 2019 Category: Science Source Type: research

[ASAP] Promoting Systems Thinking Using Project- and Problem-Based Learning
Journal of Chemical EducationDOI: 10.1021/acs.jchemed.9b00358 (Source: Journal of Chemical Education)
Source: Journal of Chemical Education - November 4, 2019 Category: Chemistry Authors: Subhalakshmi Nagarajan* † and Tina Overton‡ Source Type: research

[ASAP] Elucidating the Evolving Atomic Structure in Atomic Layer Deposition Reactions with in Situ XANES and Machine Learning
Chemistry of MaterialsDOI: 10.1021/acs.chemmater.9b03025 (Source: Chemistry of Materials)
Source: Chemistry of Materials - November 4, 2019 Category: Materials Science Authors: Orlando Trejo ¶†, Anup L. Dadlani¶‡, Francisco De La Paz§, Shinjita Acharya§, Rob Kravec?, Dennis Nordlund?, Ritimukta Sarangi?, Fritz B. Prinz§#, Jan Torgersen‡, and Neil P. Dasgupta*† Source Type: research

GSE137323 Developmental Cytoplasmic-to-Nuclear Translocation of RNA-Binding Protein HuR Is Required for Adult Neurogenesis
Contributors : Yuhan Wang ; Jing Sun ; Weixiang GuoSeries Type : Expression profiling by high throughput sequencingOrganism : Mus musculusAlthough neurogenesis in the adult brain recapitulates processes that occur during embryonic development, adult neurogenesis exhibits distinct characteristics from its embryonic counterpart. However, the intrinsic mechanism underlying the differential regulation of neurogenesis between these two stages remains unclear. Herein, we show that the ablation of RNA-binding protein HuR in neural stem cells (NSCs) impairs adult, but not embryonic, neurogenesis. HuR is predominantly expressed in ...
Source: GEO: Gene Expression Omnibus - November 4, 2019 Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Mus musculus Source Type: research

The aetiology of non-clinical narcissism: Clarifying the role of adverse childhood experiences and parental overvaluation
Publication date: 1 February 2020Source: Personality and Individual Differences, Volume 154Author(s): Kim Thy Nguyen, Lauren ShawAbstractThis research investigated the unique contribution of adverse childhood experiences (psychoanalytic theory) and parental overvaluation (social learning theory) in the development of grandiose and vulnerable narcissism in adults (N = 263). Multiple linear regressions revealed that, as expected, adverse childhood experiences, but not parental overvaluation, predicted vulnerable narcissism while parental overvaluation, but not adverse childhood experiences, predicted grandiose narcissism...
Source: Personality and Individual Differences - November 4, 2019 Category: Psychiatry & Psychology Source Type: research

Modelling the relationship of accurate and fluent word recognition in primary school
This study investigated whether word-reading speed starts increasing only after German fourth graders (n = 826) have reached a basic level of word-reading accuracy. Moreover, we examined for 170 readers with lower reading abilities (below percentile rank 50 in both word reading and reading comprehension) in an experimental pre-post control-group design whether a word-reading intervention has differential effects depending on the level of accuracy a child has reached before the intervention. The results based on the full sample suggest that a specific level of word-reading accuracy seems to be required before word-readi...
Source: Learning and Individual Differences - November 4, 2019 Category: Psychiatry & Psychology Source Type: research

Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer
ConclusionsExcept for basic decision trees, predictive models derived from different machine-learning algorithms discriminated the QALY risk at 30 days well. Regarding calibration, artificial neural network model presented the best ability to estimate 30-day QALY in critically ill oncologic patients admitted to ICUs. (Source: Journal of Critical Care)
Source: Journal of Critical Care - November 4, 2019 Category: Gastroenterology Source Type: research

Perceptions about trust: a phenomenographic study of clinical supervisors in occupational therapy
Finding the best way to facilitate student learning in clinical practice can be challenging for clinical supervisors. While high levels of trust might jeopardize patient safety, low trust might hinder student ... (Source: BMC Medical Education)
Source: BMC Medical Education - November 4, 2019 Category: Universities & Medical Training Authors: Pernilla Lundh, Per J. Palmgren and Terese Stenfors Tags: Research article Source Type: research

Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms
Compensatory movements are commonly employed by stroke survivors during seated reaching and may have negative effects on their long-term recovery. Detecting compensation is useful for coaching the patient to r... (Source: Journal of NeuroEngineering and Rehabilitation)
Source: Journal of NeuroEngineering and Rehabilitation - November 4, 2019 Category: Rehabilitation Authors: Siqi Cai, Guofeng Li, Xiaoya Zhang, Shuangyuan Huang, Haiqing Zheng, Ke Ma and Longhan Xie Tags: Research Source Type: research

Participatory learning and action to address type 2 diabetes in rural Bangladesh: a qualitative process evaluation
Diabetes is 7th largest cause of death worldwide, and prevalence is increasing rapidly in low-and middle-income countries. There is an urgent need to develop and test interventions to prevent and control diabe... (Source: BMC Endocrine Disorders)
Source: BMC Endocrine Disorders - November 4, 2019 Category: Endocrinology Authors: Joanna Morrison, Kohenour Akter, Hannah Maria Jennings, Tasmin Nahar, Abdul Kuddus, Sanjit Kumer Shaha, Naveed Ahmed, Carina King, Hassan Haghparast-Bidgoli, Anthony Costello, A. K. Azad Khan, Kishwar Azad and Edward Fottrell Tags: Research article Source Type: research

A Different Ball Game: Physical Education Students' Experiences in Librarian-led Wikipedia Assignments
This study examines Kinesiology and Physical Education students' perceptions, attitudes, and experiences before and after completing a librarian-led Wikipedia assignment. Using modified pre- and post-surveys the authors surveyed 63 Kinesiology and Physical Education (KPE) students completing a librarian-led Wikipedia assignment in an Educational and Counselling Psychology course. While overall the experience was positive and met most student expectations, they are not committed to editing Wikipedia in the future, nor are they necessarily in favour of replacing the traditional research essay with Wikipedia editing assignmen...
Source: The Journal of Academic Librarianship - November 4, 2019 Category: Databases & Libraries Source Type: research

The journey of learning
. (Source: Mind, Culture, and Activity)
Source: Mind, Culture, and Activity - November 4, 2019 Category: Psychiatry & Psychology Authors: Luca Tateo Source Type: research

The influence of parents in the discursive construction of technology-mediated learning experiences
. (Source: Mind, Culture, and Activity)
Source: Mind, Culture, and Activity - November 4, 2019 Category: Psychiatry & Psychology Authors: Anna Engel Jaime Faur é Antonio Membrive Iris Merino C ésar Coll Source Type: research

Medical Assistance in Dying: A Point of Care Educational Framework For Attending Physicians
. (Source: Teaching and Learning in Medicine)
Source: Teaching and Learning in Medicine - November 4, 2019 Category: Universities & Medical Training Authors: Mena Gewarges Jason Gencher Gary Rodin Nadine Abdullah Source Type: research

Network connectivity separate from the hypothesized irritative zone correlates with impaired cognition and higher rates of seizure recurrence.
CONCLUSION: Increased connectivity contralateral to seizure onset and epilepsy network spread in the bitemporal lobes correlated with lower measures of executive functioning and verbal memory. Epilepsy network localization to the bitemporal lobes, in particular, the contralateral temporal lobe, is associated with higher rates of seizure recurrence. These findings may reflect network-level disruption that has infiltrated the contralateral hemisphere and the bitemporal lobes contributing to impaired cognition and relatively worse surgical outcomes. Further identification of network parameters that predict patient outcomes ma...
Source: Epilepsy and Behaviour - November 4, 2019 Category: Neurology Authors: Neal EG, Di L, Reale-Caldwell A, Maciver S, Schoenberg MR, Vale FL Tags: Epilepsy Behav Source Type: research

Genetic backgrounds have unique seizure response profiles and behavioral outcomes following convulsant administration.
Abstract Three highly utilized strains of mice, common for preclinical genetic studies, were evaluated for seizure susceptibility and behavioral outcomes common to the clinical phenotypes of numerous psychiatric disorders following repeated low-dose treatment with either a gamma-aminobutyric acid (GABA) receptor antagonist (pentylenetetrazole (PTZ)) or a glutamate agonist (kainic acid (KA)). Effects of strain and treatment were evaluated with classic seizure scoring and a tailored behavior battery focused on behavioral domains common in neuropsychiatric research: learning and memory, social behavior, and motor abi...
Source: Epilepsy and Behaviour - November 4, 2019 Category: Neurology Authors: Copping NA, Adhikari A, Petkova SP, Silverman JL Tags: Epilepsy Behav Source Type: research

Taxonomic relations evoke more fear than thematic relations after fear conditioning: An EEG study.
Abstract When fear is generalized, knowledge based on concepts is also retrieved. Concepts have two very different relations: thematic relations based on the co-occurrence of events or scenarios, and taxonomic relations based on similarity or shared features. However, it remains unclear whether thematic and taxonomic relationships differentially affect fear generalization. To clarify the underlying cognitive mechanisms of these relations, the current study combined the classical fear conditioning procedure with electroencephalography (EEG). Forty participants were conditioned to a neutral word by pairing the prese...
Source: Neurobiology of Learning and Memory - November 4, 2019 Category: Neurology Authors: Lei Y, Mei Y, Dai Y, Peng W Tags: Neurobiol Learn Mem Source Type: research

Age of acquisition effects differ across linguistic domains in sign language: EEG evidence.
We examined neural responses of a group of Deaf signers who received access to signed input at varying ages to three linguistic phenomena at the levels of classifier signs, syntactic structure, and information structure. The amplitude of the N400 response to the marked word order condition negatively correlated with the age of acquisition for syntax and information structure, indicating increased cognitive load in these conditions. Additionally, the combination of behavioral and neural data suggested that late learners preferentially relied on classifiers over word order for meaning extraction. This suggests that late acqu...
Source: Brain and Language - November 4, 2019 Category: Neurology Authors: Malaia EA, Krebs J, Roehm D, Wilbur RB Tags: Brain Lang Source Type: research

Evaluation of sex differences in acid/base and electrolyte concentrations in acute large vessel stroke.
Abstract INTRODUCTION: Ischemic stroke is the one of the most severe and debilitating diseases, and despite animal models, there is much to learn about the neuropathology in humans in a way that could inform the development of therapies. We have developed a protocol to collect and evaluate arterial blood immediately distal and proximal from the removed intracranial thrombus during mechanical thrombectomy. These samples provide a unique resource in evaluating acute changes in acid/base and electrolyte concentrations at the time of ischemic stroke. The purpose of this study was to compare acid/base and electrolytes ...
Source: Experimental Neurology - November 4, 2019 Category: Neurology Authors: Martha SR, Collier LA, Davis SM, Erol A, Lukins D, Pennypacker KR, Fraser JF Tags: Exp Neurol Source Type: research

Neonatal cerebral hypoxia-ischemia in mice triggers age-dependent vascular effects and disabilities in adults; implication of tissue plasminogen activator (tPA).
oux P Abstract Neonatal encephalopathy frequently results from hypoxia-ischemia (HI) or inflammation in preterm or term neonates. Neuropathology depends on cerebral development at insult time, but the poor correlation of neuromotor, cognitive, and behavioral disabilities in infancy with initial imaging and clinical records precludes early prognosis. The Rice-Vannucci HI procedure was applied to wild type and tissue plasminogen activator knockout (tPA-KO) mice as surrogates for human preterm (with five-day-old postnatal (P5) mice) or human term (with ten-day-old postnatal (P10) mice). Acute and delayed T2-magnetic ...
Source: Experimental Neurology - November 4, 2019 Category: Neurology Authors: Dupré N, Arabo A, Orset C, Maucotel J, Detroussel Y, Hauchecorne M, Gonzalez BJ, Marret S, Vivien D, Leroux P Tags: Exp Neurol Source Type: research

Deep learning for drug-drug interaction extraction from the literature: a review.
We describe each method briefly and compare its performance in the DDI corpus systematically. Next, we summarize the advantages and disadvantages of these deep learning models for this task. Furthermore, we discuss some challenges and future perspectives of DDI extraction via deep learning methods. This review aims to serve as a useful guide for interested researchers to further advance bioinformatics algorithms for DDIs extraction from the literature. PMID: 31686105 [PubMed - as supplied by publisher] (Source: Briefings in Bioinformatics)
Source: Briefings in Bioinformatics - November 4, 2019 Category: Bioinformatics Authors: Zhang T, Leng J, Liu Y Tags: Brief Bioinform Source Type: research

Zebrafish Neuroscience: Using Artificial Neural Networks to Help Understand Brains.
Abstract Brains are notoriously hard to understand, and neuroscientists need all the tools they can get their hands on to have a realistic shot at it. Advances in machine learning are proving instrumental, illustrated by their recent use to shed light on navigational strategies implemented by zebrafish brains. PMID: 31689401 [PubMed - in process] (Source: Current Biology)
Source: Current Biology - November 4, 2019 Category: Biology Authors: Ahrens MB Tags: Curr Biol Source Type: research

A neural model of schemas and memory encoding.
Abstract The ability to rapidly assimilate new information is essential for survival in a dynamic environment. This requires experiences to be encoded alongside the contextual schemas in which they occur. Tse et al. (Science 316(5821):76-82, 2007) showed that new information matching a preexisting schema is learned rapidly. To better understand the neurobiological mechanisms for creating and maintaining schemas, we constructed a biologically plausible neural network to learn context in a spatial memory task. Our model suggests that this occurs through two processing streams of indexing and representation, in which...
Source: Biological Cybernetics - November 4, 2019 Category: Science Authors: Hwu T, Krichmar JL Tags: Biol Cybern Source Type: research

Escape the Sim! An Escape Room Innovation to Orient Learners to the Simulation Environment.
Abstract Orientation to the environment and equipment promotes psychological safety in simulation. Providing orientation activities also increases learner perceptions of simulation effectiveness, confidence, and learning overall. Escape rooms, used by educators from primary levels through graduate programs, promote skills in teamwork, creative problem-solving, and critical thinking ability. Creating an escape room-themed simulation experience with the objective of orienting learners to the simulation environment and equipment is an interactive way to prepare learners for simulation, while encouraging teamwork and ...
Source: Nursing Education Perspectives - November 4, 2019 Category: Nursing Authors: Robertiello G, Genee J, Marrera A Tags: Nurs Educ Perspect Source Type: research

Association between periodontal inflammation and hypertension using periodontal inflamed surface area and bleeding on probing.
Abstract AIM: Periodontitis is a relapsing-remitting disease. Compared to bleeding on probing (BoP), expression of disease activity, periodontal inflamed surface area (PISA) incorporates chronic disease parameters. We tested the association of PISA and BoP with blood pressure (BP) in NHANES III. MATERIALS AND METHODS: 8,614 subjects (≥30y) with complete periodontal and BP examinations were enrolled. PISA was derived from periodontal probing depth and BoP. The association of PISA and BoP with high/uncontrolled BP was examined by multiple-adjusted models. Inflammatory markers were tested as possible mediator...
Source: Journal of Clinical Periodontology - November 4, 2019 Category: Dentistry Authors: Pietropaoli D, Del Pinto R, Ferri C, Marzo G, Giannoni M, Ortu E, Monaco A Tags: J Clin Periodontol Source Type: research

Are People Ready for Personalized Brain Health? Perspectives of Research Participants in the Lifebrain Consortium.
DISCUSSION AND IMPLICATIONS: Concise, practical, personalized, and evidence-based information about the brain may promote brain health. Based on our findings, we have launched an ongoing global brain health survey to acquire more extensive, quantitative, and representative data on public perception of personalized brain health. PMID: 31682729 [PubMed - as supplied by publisher] (Source: The Gerontologist)
Source: The Gerontologist - November 4, 2019 Category: Geriatrics Authors: Friedman BB, Suri S, Solé-Padullés C, Düzel S, Drevon CA, Baaré WFC, Bartrés-Faz D, Fjell AM, Johansen-Berg H, Madsen KS, Nyberg L, Penninx BWJH, Sexton C, Walhovd KB, Zsoldos E, Budin-Ljøsne I Tags: Gerontologist Source Type: research

A Serotonin-Modulated Circuit Controls Sleep Architecture to Regulate Cognitive Function Independent of Total Sleep in Drosophila.
Abstract Both the structure and the amount of sleep are important for brain function. Entry into deep, restorative stages of sleep is time dependent; short sleep bouts selectively eliminate these states. Fragmentation-induced cognitive dysfunction is a feature of many common human sleep pathologies. Whether sleep structure is normally regulated independent of the amount of sleep is unknown. Here, we show that in Drosophila melanogaster, activation of a subset of serotonergic neurons fragments sleep without major changes in the total amount of sleep, dramatically reducing long episodes that may correspond to deep s...
Source: Current Biology - November 4, 2019 Category: Biology Authors: Liu C, Meng Z, Wiggin TD, Yu J, Reed ML, Guo F, Zhang Y, Rosbash M, Griffith LC Tags: Curr Biol Source Type: research

Medical Assistance in Dying: A Point of Care Educational Framework For Attending Physicians
. (Source: Teaching and Learning in Medicine)
Source: Teaching and Learning in Medicine - November 4, 2019 Category: Universities & Medical Training Authors: Mena Gewarges Jason Gencher Gary Rodin Nadine Abdullah Source Type: research

Medical Assistance in Dying: A Point of Care Educational Framework For Attending Physicians.
Abstract Issue: Medical assistance in dying (MAID) became legal in Quebec on December 10, 2015, and in the rest of Canada on June 17, 2016. This enabled 6,749 deaths through physician-assisted suicide or euthanasia between December 10, 2015 and October 31, 2018. While the death of a patient is a common experience for medical trainees, those that occur through MAID have unique features related to the methods, the timeline, the intended role of the physician in causing the death, and the request of the patient that initiates the process. These aspects necessitate a distinct approach to MAID medical education. Eviden...
Source: Teaching and Learning in Medicine - November 4, 2019 Category: Universities & Medical Training Authors: Gewarges M, Gencher J, Rodin G, Abdullah N Tags: Teach Learn Med Source Type: research

Attitudes toward artificial intelligence in radiology with learner needs assessment within radiology residency programmes: a national multi-programme survey.
CONCLUSION: A growing optimism of radiology undergoing technological transformation and AI/ML implementation has led to a strong demand for AI/ML curriculum in residency education. PMID: 31680181 [PubMed - as supplied by publisher] (Source: Singapore Medical Journal)
Source: Singapore Medical Journal - November 4, 2019 Category: General Medicine Authors: Ooi SKG, Makmur A, Soon AYQ, Fook-Chong S, Liew C, Sia SY, Ting YH, Lim CY Tags: Singapore Med J Source Type: research

Machine Learning to Predict Anti –Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers
ConclusionThe model described here shows promise in guiding treatment decisions in clinical practice, based primarily on clinical profiles with additional genetic information. (Source: Arthritis and Rheumatology)
Source: Arthritis and Rheumatology - November 4, 2019 Category: Rheumatology Authors: Yuanfang Guan, Hongjiu Zhang, Daniel Quang, Ziyan Wang, Stephen C. J. Parker, Dimitrios A. Pappas, Joel M. Kremer, Fan Zhu Tags: Original Article Source Type: research

Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images
In this study, using data for 1278 nodules, we proposed and evaluated two methods for deep learning-based segmentation of thyroid nodules that utilize calipers present in the images. The first method used approximate nodule masks generated based on the calipers. The second method combined manual annotations with automatic guidance by the calipers. When only approximate nodule masks were used for training, the achieved Dice similarity coefficient (DSC) was 85.1%. (Source: Ultrasound in Medicine and Biology)
Source: Ultrasound in Medicine and Biology - November 4, 2019 Category: Radiology Authors: Mateusz Buda, Benjamin Wildman-Tobriner, Kerry Castor, Jenny K. Hoang, Maciej A. Mazurowski Tags: Original Contribution Source Type: research

Validation of a Deep Learning Algorithm for Diabetic Retinopathy
Telemedicine and e-Health, Ahead of Print. (Source: Telemedicine and e-Health)
Source: Telemedicine and e-Health - November 4, 2019 Category: Information Technology Authors: Pedro Romero-Aroca Raquel Verges-Puig Jordi de la Torre Aida Valls Naiara Rela ño-Barambio Domenec Puig Marc Baget-Bernaldiz Source Type: research