[Augmentation cystoplasty: Perioperative management for urologic nurses].
CONCLUSION: AC are tricky surgeries but management and education of patients by urological nurses are key points to avoid chronic infection, stones or AC perforation. PMID: 31611156 [PubMed - as supplied by publisher] (Source: Progres en Urologie)
Source: Progres en Urologie - October 17, 2019 Category: Urology & Nephrology Tags: Prog Urol Source Type: research

Optical machine learning with incoherent light and a single-pixel detector
An optical diffractive neural network (DNN) can be implemented with a cascaded phase mask architecture. Like an optical computer, the ... (Source: Optics Letters)
Source: Optics Letters - October 17, 2019 Category: Physics Authors: Shuming Jiao Jun Feng Yang Gao Ting Lei Zhenwei Xie Xiaocong Yuan Source Type: research

Physical mechanism for the synapse behaviour of WTiOx-based memristors
Phys. Chem. Chem. Phys., 2019, Accepted Manuscript DOI: 10.1039/C9CP05060D, PaperHengjie Zhang, Chuantong Cheng, Huan Zhang, Run Chen, Beiju Huang, Hongda Chen, Weihua Pei Tungsten-based memristors possess many advantages as candidates for memristive devices, including gradual changes in resistance states and memorization and learning functions. However, most previous reports mainly focus on studying synaptic... The content of this RSS Feed (c) The Royal Society of Chemistry (Source: RSC - Phys. Chem. Chem. Phys. latest articles)
Source: RSC - Phys. Chem. Chem. Phys. latest articles - October 17, 2019 Category: Chemistry Authors: Hengjie Zhang Source Type: research

[ASAP] Accelerated Discovery of Two-Dimensional Optoelectronic Octahedral Oxyhalides via High-Throughput < italic toggle="yes" > Ab Initio < /italic > Calculations and Machine Learning
The Journal of Physical Chemistry LettersDOI: 10.1021/acs.jpclett.9b02420 (Source: The Journal of Physical Chemistry Letters)
Source: The Journal of Physical Chemistry Letters - October 17, 2019 Category: Chemistry Authors: Xing-Yu Ma †, James P. Lewis‡§?, Qing-Bo Yan*?, and Gang Su*†# Source Type: research

The learning curve in pure laparoscopic donor right hepatectomy: a cumulative sum analysis
ConclusionsIn conclusion, PLDRH is a feasible and safe procedure with a learning curve of 65 –70 cases. (Source: Surgical Endoscopy)
Source: Surgical Endoscopy - October 17, 2019 Category: Surgery Source Type: research

Self-Controlled Practice to Achieve Neuro-Cognitive Engagement: Underlying Brain Processes to Enhance Cognitive-Motor Learning and Performance.
Authors: Jaquess KJ, Lu Y, Iso-Ahola SE, Zhang J, Gentili RJ, Hatfield BD Abstract While self-controlled practice has been shown to be an effective practice methodology, the neuro-cognitive correlates of its effectiveness are unclear. We investigated whether learners participating in self-controlled practice exhibit increased neuro-cognitive engagement compared to externally controlled practice. Two groups (self-controlled and yoked) of 16 participants practiced and performed a golf putting task over 3 days. Working memory engagement, central executive activity, and cortical activation were assessed via electroence...
Source: Journal of Motor Behavior - October 17, 2019 Category: Neurology Tags: J Mot Behav Source Type: research

How and why should the radiologist look at the placenta?
AbstractThis editorial comment refers to the article “Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning” by Sun et al. inEuropean Radiology.Key Points• Understanding how the placenta works is one of the major challenges facing radiologists.• New perspectives are opening up for MRI studies of the placenta.• The authors propose a new approach to placental MRI based on texture analysis and machine learning. (Source: European Radiology)
Source: European Radiology - October 17, 2019 Category: Radiology Source Type: research

Alemtuzumab-induced lung injury in multiple sclerosis: learning from adversity in three patients
ConclusionsClinicians should be aware to early recognize acute and subacute respiratory adverse events for a promptly management. In these patients re-treatment is challenging. (Source: Multiple Sclerosis and Related Disorders)
Source: Multiple Sclerosis and Related Disorders - October 17, 2019 Category: Neurology Source Type: research

The ‘connectaholic’ behind the curtain: medical student use of computer devices in the clinical setting and the influence of patients
The use of mobile devices such as tablets and laptops by students to support their learning is now ubiquitous. The clinical setting is an environment, which lends itself to the use of mobile devices as student... (Source: BMC Medical Education)
Source: BMC Medical Education - October 17, 2019 Category: Universities & Medical Training Authors: Eric Clarke, Jane Burns, Catherine Bruen, Martina Crehan, Erica Smyth and Teresa Pawlikowska Tags: Research article Source Type: research

Extraction of chemical –protein interactions from the literature using neural networks and narrow instance representation
We report the results of several experiments and show that our best model is competitive with more complex sentence representations or network structures, achieving an F1-score of 0.6306 on the test set. The source code of our work, along with detailed statistics, is publicly available. (Source: Database : The Journal of Biological Databases and Curation)
Source: Database : The Journal of Biological Databases and Curation - October 17, 2019 Category: Databases & Libraries Source Type: research

Using the PARAFAC2 Tensor Factorization on EHR Audit Data to Understand PCP Desktop Work
ConclusionsOur results demonstrate that EHR audit log data can be rapidly processed to create higher-level constructed features that represent time-stamped PCP tasks.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 17, 2019 Category: Information Technology Source Type: research

Gender perspective on information literacy: An interdisciplinary and multidimensional analysis within higher education settings
Publication date: Available online 15 October 2019Source: Library & Information Science ResearchAuthor(s): María Pinto, Dora Sales, Rosaura Fernández-PascualAbstractGender is a sociological variable that needs further attention in information literacy studies. This research uses a multidimensional subjective-objective approach to examine the gender differences in the information literacy learning process in a sample of students from different social sciences degree courses at five Spanish universities. Surveys are used to measure the belief in importance (BI) and self-efficacy (SE) they assign to a series...
Source: Library and Information Science Research - October 17, 2019 Category: Databases & Libraries Source Type: research

Masking and mirror – What can we learn from facial recognition in patients with (partial) Dissociative Identity Disorder?
. (Source: Journal of Trauma and Dissociation)
Source: Journal of Trauma and Dissociation - October 17, 2019 Category: Psychiatry Authors: Eva Sch äflein Heribert Sattel Martin Sack Source Type: research

Peppy: A Virtual Reality Environment for Exploring the Principles of Polypeptide Structure
This article is protected by copyright. All rights reserved. (Source: Protein Science)
Source: Protein Science - October 17, 2019 Category: Biochemistry Authors: David G Doak, Gareth S Denyer, Juliet A Gerrard, Joel P Mackay, Jane R Allison Tags: Tools for Protein Science Source Type: research

The case for plural PBL: an analysis of dominant and marginalized perspectives in the globalization of problem-based learning
AbstractThe globalization of problem-based learning (PBL) in health professions education has been both celebrated and criticized. Using a critical narrative review approach, underpinned by our archive of global PBL literature and a targeted literature search, we analyze these dominant global discourses of PBL in health professions education. More precisely, we explore what is missed when the globalization of PBL is theorized either as a positive consequence of standardization, or a problematic spread of Western educational ideals and values around the world. We make visible how two dominant global discourses, a universali...
Source: Advances in Health Sciences Education - October 17, 2019 Category: Universities & Medical Training Source Type: research

Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning
In conclusion, TL enhances performance of a DNN algorithm from a small volumetric dataset after proposed 3D-to-2D reformatting, but additive gain is achieved with application of either GCC to APV or the proposed novel MPV technique for DA. (Source: Journal of Digital Imaging)
Source: Journal of Digital Imaging - October 17, 2019 Category: Radiology Source Type: research

Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk
Translational Psychiatry, Published online: 17 October 2019; doi:10.1038/s41398-019-0600-9Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk (Source: Translational Psychiatry)
Source: Translational Psychiatry - October 17, 2019 Category: Psychiatry Authors: Paolo Fusar-Poli Dominic Stringer Alice M. S. Durieux Grazia Rutigliano Ilaria Bonoldi Andrea De Micheli Daniel Stahl Source Type: research

Sensors, Vol. 19, Pages 4520: Impact of Physiological Signals Acquisition in the Emotional Support Provided in Learning Scenarios
Boticario Physiological sensors can be used to detect changes in the emotional state of users with affective computing. This has lately been applied in the educational domain, aimed to better support learners during the learning process. For this purpose, we have developed the AICARP (Ambient Intelligence Context-aware Affective Recommender Platform) infrastructure, which detects changes in the emotional state of the user and provides personalized multisensorial support to help manage the emotional state by taking advantage of ambient intelligence features. We have developed a third version of this infrastructure, AIC...
Source: Sensors - October 17, 2019 Category: Biotechnology Authors: Uria-Rivas Rodriguez-Sanchez Santos Vaquero Boticario Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4509: Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data
This study examined the feasibility of a non-laboratory approach that uses machine learning on multimodal sensor data to predict relative physical activity (PA) intensity. A total of 22 participants completed up to 7 PA sessions, where each session comprised 5 trials (sitting and standing, comfortable walk, brisk walk, jogging, running). Participants wore a wrist-strapped sensor that recorded heart-rate (HR), electrodermal activity (Eda) and skin temperature (Temp). After each trial, participants provided ratings of perceived exertion (RPE). Three classifiers, including random forest (RF), neural network (NN) and support v...
Source: Sensors - October 17, 2019 Category: Biotechnology Authors: Alok Kumar Chowdhury Dian Tjondronegoro Vinod Chandran Jinglan Zhang Stewart G. Trost Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4504: Towards a Portable Model to Discriminate Activity Clusters from Accelerometer Data
lex V. Rowlands Few methods for classifying physical activity from accelerometer data have been tested using an independent dataset for cross-validation, and even fewer using multiple independent datasets. The aim of this study was to evaluate whether unsupervised machine learning was a viable approach for the development of a reusable clustering model that was generalisable to independent datasets. We used two labelled adult laboratory datasets to generate a k-means clustering model. To assess its generalised application, we applied the stored clustering model to three independent labelled datasets: two laboratory and...
Source: Sensors - October 17, 2019 Category: Biotechnology Authors: Petra Jones Evgeny M. Mirkes Tom Yates Charlotte L. Edwardson Mike Catt Melanie J. Davies Kamlesh Khunti Alex V. Rowlands Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4503: Exploring Deep Physiological Models for Nociceptive Pain Recognition
hwenker Standard feature engineering involves manually designing measurable descriptors based on some expert knowledge in the domain of application, followed by the selection of the best performing set of designed features for the subsequent optimisation of an inference model. Several studies have shown that this whole manual process can be efficiently replaced by deep learning approaches which are characterised by the integration of feature engineering, feature selection and inference model optimisation into a single learning process. In the following work, deep learning architectures are designed for the assessment o...
Source: Sensors - October 17, 2019 Category: Biotechnology Authors: Patrick Thiam Peter Bellmann Hans A. Kestler Friedhelm Schwenker Tags: Article Source Type: research

IJERPH, Vol. 16, Pages 3955: Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning
engwen Li The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields. Currently, compared to questionnaires, social media as a sensor provides low-cost and easy-to-access data sources, providing new opportunities for obtaining human daily activity category data. However, there are still some challenges to accurately recognizing posts because existing studies ignore contextual information or word order in posts and remain unsatisfactory for c...
Source: International Journal of Environmental Research and Public Health - October 17, 2019 Category: Environmental Health Authors: Junfang Gong Runjia Li Hong Yao Xiaojun Kang Shengwen Li Tags: Article Source Type: research

Training in robotic surgery, replicating the airline industry. How far have we come?
ConclusionRobotic surgeons and pilots roles have many fundamental similarities. Both work with expensive and complex technology requiring high levels of skills, within working environments with high physiological and psychological stress levels. Whilst many initiatives in aviation training have already been replicated in surgical training there remain considerable differences in regulation. Adopting established and proven aviation methods of assessment and regulation could help robotic surgical training become more efficient, more effective and ultimately safer. (Source: World Journal of Urology)
Source: World Journal of Urology - October 17, 2019 Category: Urology & Nephrology Source Type: research

Single-Cell Analysis of Circulating Tumor Cells: How Far Have We Come in the -Omics Era?
Tumor cells detach from the primary tumor or metastatic sites and enter the peripheral blood, often causing metastasis. These cells, named Circulating Tumor Cells (CTCs), display the same spatial and temporal heterogeneity as the primary tumor. Since CTCs are involved in tumor progression, they represent a privileged window to disclose mechanisms of metastases, while -omic analyses at the single-cell level allow dissection of the complex relationships between the tumor subpopulations and the surrounding normal tissue. However, in addition to reporting the proof of concept that we can query CTCs to reveal tumor evolution th...
Source: Frontiers in Genetics - October 17, 2019 Category: Genetics & Stem Cells Source Type: research

Insights from machine learning of carbon electrodes for electric double layer capacitors
Publication date: Available online 10 October 2019Source: CarbonAuthor(s): Musen Zhou, Alejandro Gallegos, Kun Liu, Sheng Dai, Jianzhong WuAbstractRecent years have witnessed the broad use of carbon electrodes for electric double layer capacitors (EDLCs) because of large surface area, high porosity and low cost. Whereas experimental investigations are mostly focused on the device performance, computational studies have been rarely concerned with electrochemical properties at conditions remote from equilibrium, limiting their direct applications to materials design. Through a comprehensive analysis of extensive experimental...
Source: Carbon - October 16, 2019 Category: Materials Science Source Type: research

Three Rostromedial Tegmental Afferents Drive Triply Dissociable Aspects of Punishment Learning and Aversive Valence Encoding
Publication date: Available online 15 October 2019Source: NeuronAuthor(s): Hao Li, Peter J. Vento, Jeffrey Parrilla-Carrero, Dominika Pullmann, Ying S. Chao, Maya Eid, Thomas C. JhouSummaryPersistence of reward seeking despite punishment or other negative consequences is a defining feature of mania and addiction, and numerous brain regions have been implicated in such punishment learning, but in disparate ways that are difficult to reconcile. We now show that the ability of an aversive punisher to inhibit reward seeking depends on coordinated activity of three distinct afferents to the rostromedial tegmental nucleus (RMTg)...
Source: Neuron - October 16, 2019 Category: Neuroscience Source Type: research

Using Relevant Animations to Counter Stereotype Threat When Learning Science
Publication date: Available online 15 October 2019Source: Journal of Applied Research in Memory and CognitionAuthor(s): Christopher A. Sanchez, Karah WeberMuch research has supported the notion that adding relevant animations to science text can positively impact learning. Can relevant animations also provide an opportunity to address other issues that affect learning, specifically situations when learners are explicitly placed under stereotype threat? The current study extends work on both animations and stereotype threat by examining whether relevant imagery can positively address issues of stereotype threat. Participant...
Source: Journal of Applied Research in Memory and Cognition - October 16, 2019 Category: Neuroscience Source Type: research

Faster learners transfer their knowledge better: behavioral, mnemonic, and neural mechanisms of individual differences in children’s learning
Publication date: Available online 15 October 2019Source: Developmental Cognitive NeuroscienceAuthor(s): Hyesang Chang, Miriam Rosenberg-Lee, Shaozheng Qin, Vinod MenonAbstractWhy some children learn, and transfer their knowledge to novel problems, better than others remains an important unresolved question in the science of learning. Here we developed an innovative tutoring program and data analysis approach to investigate individual differences in neurocognitive mechanisms that support math learning and “near” transfer to novel, but structurally related, problems in elementary school children. Following just ...
Source: Developmental Cognitive Neuroscience - October 16, 2019 Category: Neuroscience Source Type: research

A primal perspective for indefinite kernel SVM problem
AbstractIndefinite kernel support vector machine (IKSVM) has recently attracted increasing attentions in machine learning. Since IKSVM essentially is a non-convex problem, existing algorithms either change the spectrum of indefinite kernel directly but risking losing some valuable information or solve the dual form of IKSVM whereas suffering from a dual gap problem. In this paper, we propose a primal perspective for solving the problem. That is, we directly focus on the primal form of IKSVM and present a novel algorithm termed as IKSVM-DC for binary and multi-class classification. Concretely, according to the characteristi...
Source: European Journal of Applied Physiology - October 16, 2019 Category: Physiology Source Type: research

Real-time manifold regularized context-aware correlation tracking
AbstractDespite the demonstrated success of numerous correlation filter (CF) based tracking approaches, their assumption of circulant structure of samples introduces significant redundancy to learn an effective classifier. In this paper, we develop a fast manifold regularized context-aware correlation tracking algorithm that mines the local manifold structure information of different types of samples. First, different from the traditional CF based tracking that only uses one base sample, we employ a set of contextual samples near to the base sample, and impose a manifold structure assumption on them. Afterwards, to take in...
Source: European Journal of Applied Physiology - October 16, 2019 Category: Physiology Source Type: research

iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition
AbstractRNA 5-methylcytosine (m5C) sites perform a major role in numerous biological processes and commonly reported in both DNA and RNA cellular. The enzymatic mechanism and biological functions of m5C sites in DNA remain the focusing area of researchers for last few decades. Likewise, the investigators also targeted m5C sites in RNA due to its cellular functions, positioning and formation mechanism. Currently, several rudimentary roles of the m5C in RNA have been explored, but a lot of improvements are still under consideration. Initially, the identification of RNA methylcytosine sites was carried out via experimental me...
Source: European Journal of Applied Physiology - October 16, 2019 Category: Physiology Source Type: research

NEXT: a neural network framework for next POI recommendation
AbstractThe task ofnext POI recommendations has been studied extensively in recent years. However, developing a unified recommendation framework to incorporate multiple factors associated with both POIs and users remains challenging, because of the heterogeneity nature of these information. Further, effective mechanisms to smoothly handle cold-start cases are also a difficult topic. Inspired by the recent success of neural networks in many areas, in this paper, we propose a simple yet effective neural network framework, named NEXT, for next POI recommendations. NEXT is a unified framework to learn the hidden intent regardi...
Source: European Journal of Applied Physiology - October 16, 2019 Category: Physiology Source Type: research

A survey of autoencoder-based recommender systems
AbstractIn the past decade, recommender systems have been widely used to provide users with personalized products and services. However, most traditional recommender systems are still facing a challenge in dealing with the huge volume, complexity, and dynamics of information. To tackle this challenge, many studies have been conducted to improve recommender system by integrating deep learning techniques. As an unsupervised deep learning method, autoencoder has been widely used for its excellent performance in data dimensionality reduction, feature extraction, and data reconstruction. Meanwhile, recent researches have shown ...
Source: European Journal of Applied Physiology - October 16, 2019 Category: Physiology Source Type: research

Real-time visual tracking using complementary kernel support correlation filters
AbstractDespite demonstrated success of SVM based trackers, their performance remains a boosting room if carefully considering the following factors: first, the tradeoff between sampling and budgeting samples affects tracking accuracy and efficiency much; second, how to effectively fuse different types of features to learn a robust target representation plays a key role in tracking accuracy. In this paper, we propose a novel SVM based tracking method that handles the first factor with the help of the circulant structures of the samples and the second one by a multi-kernel learning mechanism. Specifically, we formulate an S...
Source: European Journal of Applied Physiology - October 16, 2019 Category: Physiology Source Type: research

A survey on ensemble learning
AbstractDespite significant successes achieved in knowledge discovery, traditional machine learning methods may fail to obtain satisfactory performances when dealing with complex data, such as imbalanced, high-dimensional, noisy data, etc. The reason behind is that it is difficult for these methods to capture multiple characteristics and underlying structure of data. In this context, it becomes an important topic in the data mining field that how to effectively construct an efficient knowledge discovery and mining model. Ensemble learning, as one research hot spot, aims to integrate data fusion, data modeling, and data min...
Source: European Journal of Applied Physiology - October 16, 2019 Category: Physiology Source Type: research

Accelerating Research Impact in a Learning Health Care System: VA’s Quality Enhancement Research Initiative in the Choice Act Era: Erratum
No abstract available (Source: Medical Care)
Source: Medical Care - October 16, 2019 Category: Health Management Tags: Erratum Source Type: research

Identifying the motivational and demotivational factors influencing students’ academic achievements in language education
This study aims first to design a motivational/ demotivational pattern scale (MDPAS) for English as a foreign language (EFL) students, and then proposes a model of motivation/ demotivation in EFL education. Entire population participated in the study comprised 800 students majoring in EFL. MDPAS was designed and validated by applying confirmatory factor analysis (CFA). Further investigations revealed that three motivational constructs, including Demotivation/ Motivating Demotivation, Perfectionist/Non-perfectionist motivation, and Collective/Individual motivation could predict almost 56% of the variance in students’ ...
Source: Learning and Motivation - October 16, 2019 Category: Psychiatry & Psychology Source Type: research

Temporal and adaptive processes of regulated learning - What can multimodal data tell?
Publication date: Available online 16 October 2019Source: Learning and InstructionAuthor(s): Sanna Järvelä, Maria Bannert (Source: Learning and Instruction)
Source: Learning and Instruction - October 16, 2019 Category: Psychiatry & Psychology Source Type: research

Compuflo ®-Assisted Training vs Conventional Training for the Identification of the Ligamentum Flavum with an Epidural Simulator: A Brief Report.
Compuflo®-Assisted Training vs Conventional Training for the Identification of the Ligamentum Flavum with an Epidural Simulator: A Brief Report. Anesthesiol Res Pract. 2019;2019:3804743 Authors: Capogna E, Coccoluto A, Gibiino G, Del Vecchio A Abstract The ability of recognizing the ligamentum flavum is the first, crucial, important skill to teach novices when they are learning the epidural technique. The aim of this preliminary prospective study was to evaluate whether the Compuflo® Epidural instrument may help inexperienced trainees to better identify the ligamentum flavum during an epidural ...
Source: Anesthesiology Research and Practice - October 16, 2019 Category: Anesthesiology Tags: Anesthesiol Res Pract Source Type: research

Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images.
Abstract A novel deep learning architecture was explored to create synthetic CT (MRCT) images that preserve soft tissue contrast necessary for support of patient positioning in Radiation therapy. A U-Net architecture was applied to learn the correspondence between input T1-weighted MRI and spatially aligned corresponding CT images. The network was trained on sagittal images, taking advantage of the left-right symmetry of the brain to increase the amount of training data for similar anatomic positions. The output CT images were divided into three channels, representing Hounsfield Unit (HU) ranges of voxels containi...
Source: Ann Oncol - October 16, 2019 Category: Cancer & Oncology Authors: Gupta D, Kim M, Vineberg KA, Balter JM Tags: Front Oncol Source Type: research

Work and mental health: what do we know and how can we intervene?
As working conditions are increasingly characterized by socio-emotional demands, interpersonal interactions and relationships, and mental requirements, at least in high-income, post-industrialized societies, work and mental health has evolved as a key topic of occupational health research (1, 2). In this editorial, we focus on three main themes within this topic: (i) identifying factors at work that contribute to the onset of mental health problems and clinical mental disorders; (ii) using work as a “therapeutic tool” for individuals with mental health problems; and (iii) conducting an d evaluating interventi...
Source: Scandinavian Journal of Work, Environment and Health - October 16, 2019 Category: Occupational Health Tags: Editorial Source Type: research

Complications of Diagnostic TMJ Arthroscopy: An Institutional Study
ConclusionThough the complication rate was found to be higher than most of the other studies, they were minor which resolved without any intervention. The cases with complications were clustered at the beginning of the series which suggests the steep learning curve and the importance of surgeons ’ experience and skill involved in this procedure. (Source: Journal of Maxillofacial and Oral Surgery)
Source: Journal of Maxillofacial and Oral Surgery - October 16, 2019 Category: ENT & OMF Source Type: research

Labiolysis, Corrective Surgery for Iatrogenic Labium Minus Fusion
Conclusions Labiolysis is a simple surgical operation with a short learning curve, which relieves symptoms, improves quality of life associated with iatrogenic labium minus fusion, and provides an esthetically pleasing surgical outcome. In this study group, no minor and no major surgical complications were observed, and no reoperation was performed. (Source: Annals of Plastic Surgery)
Source: Annals of Plastic Surgery - October 16, 2019 Category: Cosmetic Surgery Tags: Reconstructive Surgery Source Type: research

Data-Driven Machine-Learning Quantifies Differences in the Voiding Initiation Network in Neurogenic Voiding Dysfunction in Women With Multiple Sclerosis.
CONCLUSION: Voiders and VD patients showed distinctly different FC in their Voiding Initiation Network. Machine-learning is able to identify brain centers contributing to these observed differences. Knowledge of these centers and their connectivity may allow phenotyping patients to centrally focused treatments such as cortical modulation. PMID: 31607098 [PubMed] (Source: International Neurourology Journal)
Source: International Neurourology Journal - October 16, 2019 Category: Urology & Nephrology Tags: Int Neurourol J Source Type: research

Molecular and biomarker-based diagnostics in early sepsis: current challenges and future perspectives.
Authors: Schenz J, Weigand MA, Uhle F Abstract Introduction: Sepsis, defined as a life-threatening organ dysfunction resulting from dysregulated host response to infection, is still a major challenge for healthcare systems. Early diagnosis is highly needed, yet challenging, due to the non-specificity of clinical symptoms. Rapid and targeted application of therapy strategies is crucial for patient's outcome. Areas covered: Faster and better diagnostics with high accuracy is promised by novel host response biomarkers and a wide variety of direct pathogen identification technologies, which have emerged over the last y...
Source: Expert Review of Molecular Diagnostics - October 16, 2019 Category: Laboratory Medicine Tags: Expert Rev Mol Diagn Source Type: research

Information seeking and evaluation: a multi-institutional survey of veterinary students.
Conclusions: DVM students may lack the skills needed to evaluate scientific literature and need more practice and feedback in evaluating and interpreting scientific papers. Librarians who support DVM students can (1) help DVM students to efficiently evaluate scientific literature, (2) seek training opportunities in alternative modes of teaching and learning IL skills, and (3) partner with veterinary faculty and clinicians to provide students with practice and feedback in information evaluation. PMID: 31607809 [PubMed - in process] (Source: Journal of the Medical Library Association : JMLA)
Source: Journal of the Medical Library Association : JMLA - October 16, 2019 Category: Databases & Libraries Tags: J Med Libr Assoc Source Type: research

"Game on!" Teaching gamification principles for library instruction to health sciences information professionals using interactive, low-tech activities and design-thinking modalities.
Conclusions: For librarians who are interested in incorporating principles of gamification into library instruction, attending a relatively short hands-on workshop can facilitate learning and confidence around prototyping and creating games for use in library instruction. We intend to improve upon the workshop and offer it again in additional contexts, based on direct observations of the session and participant feedback. PMID: 31607814 [PubMed - in process] (Source: Journal of the Medical Library Association : JMLA)
Source: Journal of the Medical Library Association : JMLA - October 16, 2019 Category: Databases & Libraries Tags: J Med Libr Assoc Source Type: research

Reimagining information literacy instruction in an evidence-based practice nursing course for undergraduate students.
Authors: McGowan BS Abstract This case report describes the redesign process for an undergraduate evidence-based practice (EBP) nursing course in which the librarian serves as both co-instructor and co-instructional designer. As part of the undergraduate outcomes-based core curriculum, this required course teaches the principles of the research process; teaches students to identify the strengths and limitations of research articles in relation to EBP; and builds student confidence in their abilities to execute information literacy, data management, and scholarly communication competencies. The course redesign built...
Source: Journal of the Medical Library Association : JMLA - October 16, 2019 Category: Databases & Libraries Tags: J Med Libr Assoc Source Type: research

From enhanced collaborations to space advancements: technologies to bring libraries (and librarians) full circle and into the future.
Authors: Anderson PF, Hurst EJ Abstract Since the Journal of the Medical Library Association (JMLA) Virtual Projects section was first announced in 2012, the virtual projects featured in the JMLA have expanded or improved library spaces, services, collaborations, connections, and future directions. Virtual projects selected by the JMLA Virtual Projects Section Advisory Committee have been both practical and responsive to library and patron needs and illustrate ways that librarians are leading their communities and services in new directions. Virtual projects highlighted in this year's section demonstrate innovative...
Source: Journal of the Medical Library Association : JMLA - October 16, 2019 Category: Databases & Libraries Tags: J Med Libr Assoc Source Type: research

Creating a new "reality" for medical education: the Nexus Reality Lab for virtual reality.
Conclusion: We are currently collecting data on the number of unique users and evaluating application usage. We are working on a feedback mechanism and looking to develop collaborative partnerships across the university. PMID: 31607823 [PubMed - in process] (Source: Journal of the Medical Library Association : JMLA)
Source: Journal of the Medical Library Association : JMLA - October 16, 2019 Category: Databases & Libraries Tags: J Med Libr Assoc Source Type: research