Daily briefing: How to learn to love your teaching burden
Nature, Published online: 01 October 2019; doi:10.1038/d41586-019-02968-9Teaching shouldn’t be a hassle, how science made China a superpower and researchers report feeling pressured to cite unnecessary papers. (Source: Nature AOP)
Source: Nature AOP - October 1, 2019 Category: Research Authors: Flora Graham Source Type: research

Health Care Seeking and Engagement After Sexual Assault
Sexual assault (SA), which affects up to 20% of women, is associated with chronic physical and emotional health disorders. Although SA victims/survivors are less likely to seek health care, less is known about the specific barriers and facilitators in health care seeking and engagement. The purpose of this study was to learn the barriers and facilitators from victims/survivors. Data were collected using semistructured interviews. Constructivist coding was used in data analysis. Barriers were reminders of sexual assault, male health care providers, and loss of control with disclosures. (Source: The Journal for Nurse Practitioners)
Source: The Journal for Nurse Practitioners - October 1, 2019 Category: Nursing Authors: Pamela Wadsworth, J.A. Eve Krahe, Kim Searing Tags: Original Article Source Type: research

A novel machine-learning-derived genetic score correlates with measurable residual disease and is highly predictive of outcome in acute myeloid leukemia with mutated NPM1
Blood Cancer Journal, Published online: 01 October 2019; doi:10.1038/s41408-019-0244-2A novel machine-learning-derived genetic score correlates with measurable residual disease and is highly predictive of outcome in acute myeloid leukemia with mutated NPM1 (Source: Blood Cancer Journal)
Source: Blood Cancer Journal - October 1, 2019 Category: Hematology Authors: Nikhil Patkar Anam Fatima Shaikh Chinmayee Kakirde Shrinidhi Nathany Hridya Ramesh Prasanna Bhanshe Swapnali Joshi Shruti Chaudhary Sadhana Kannan Syed Hasan Khizer Gaurav Chatterjee Prashant Tembhare Dhanalaxmi Shetty Anant Gokarn Sachin Punatkar Avinash Source Type: research

Mechanisms of bacillary dysentery: lessons learnt from infant rabbits
. (Source: Gut Microbes)
Source: Gut Microbes - October 1, 2019 Category: Microbiology Authors: Lauren K. Yum Herv é Agaisse Source Type: research

Sensors, Vol. 19, Pages 4266: Target-Specific Action Classification for Automated Assessment of Human Motor Behavior from Video
Shyamal Patel Objective monitoring and assessment of human motor behavior can improve the diagnosis and management of several medical conditions. Over the past decade, significant advances have been made in the use of wearable technology for continuously monitoring human motor behavior in free-living conditions. However, wearable technology remains ill-suited for applications which require monitoring and interpretation of complex motor behaviors (e.g., involving interactions with the environment). Recent advances in computer vision and deep learning have opened up new possibilities for extracting information from video...
Source: Sensors - October 1, 2019 Category: Biotechnology Authors: Behnaz Rezaei Yiorgos Christakis Bryan Ho Kevin Thomas Kelley Erb Sarah Ostadabbas Shyamal Patel Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4270: Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices
es Ali Etemad Simulation-based training has been proven to be a highly effective pedagogical strategy. However, misalignment between the participant’s level of expertise and the difficulty of the simulation has been shown to have significant negative impact on learning outcomes. To ensure that learning outcomes are achieved, we propose a novel framework for adaptive simulation with the goal of identifying the level of expertise of the learner, and dynamically modulating the simulation complexity to match the learner’s capability. To facilitate the development of this framework, we investig...
Source: Sensors - October 1, 2019 Category: Biotechnology Authors: Kyle Ross Pritam Sarkar Dirk Rodenburg Aaron Ruberto Paul Hungler Adam Szulewski Daniel Howes Ali Etemad Tags: Article Source Type: research

Building more accurate decision trees with the additive tree [Statistics]
The expansion of machine learning to high-stakes application domains such as medicine, finance, and criminal justice, where making informed decisions requires clear understanding of the model, has increased the interest in interpretable machine learning. The widely used Classification and Regression Trees (CART) have played a major role in health sciences,... (Source: Proceedings of the National Academy of Sciences)
Source: Proceedings of the National Academy of Sciences - October 1, 2019 Category: Science Authors: Jose Marcio Luna, Efstathios D. Gennatas, Lyle H. Ungar, Eric Eaton, Eric S. Diffenderfer, Shane T. Jensen, Charles B. Simone II, Jerome H. Friedman, Timothy D. Solberg, Gilmer Valdes Tags: Physical Sciences Source Type: research

High-resolution limited-angle phase tomography of dense layered objects using deep neural networks [Engineering]
We present a machine learning-based method for tomographic reconstruction of dense layered objects, with range of projection angles limited to ±10○. Whereas previous approaches to phase tomography generally require 2 steps, first to retrieve phase projections from intensity projections and then to perform tomographic reconstruction on the retrieved phase projections,... (Source: Proceedings of the National Academy of Sciences)
Source: Proceedings of the National Academy of Sciences - October 1, 2019 Category: Science Authors: Alexandre Goy, Girish Rughoobur, Shuai Li, Kwabena Arthur, Akintunde I. Akinwande, George Barbastathis Tags: PNAS Plus Source Type: research

Understanding the industrial contribution to pollution offers opportunities to further improve air quality in the United States [Environmental Sciences]
The quality of the air in the United States has improved substantially (1). The risks, however, remain high for several populations, and there is still much to learn about the sources and impacts of air pollution. Increasing our understanding of the sources of environmental damage can help us design policies... (Source: Proceedings of the National Academy of Sciences)
Source: Proceedings of the National Academy of Sciences - October 1, 2019 Category: Science Authors: Juan Moreno-Cruz Tags: Commentaries Source Type: research

Identifying clusters of cis-regulatory elements underpinning TAD structures and lineage-specific regulatory networks [METHOD]
Cellular identity relies on cell-type–specific gene expression controlled at the transcriptional level by cis-regulatory elements (CREs). CREs are unevenly distributed across the genome, giving rise to individual CREs and clusters of CREs (COREs). Technical and biological features hinder CORE identification. We addressed these issues by developing an unsupervised machine learning approach termed clustering of genomic regions analysis method (CREAM). CREAM automates CORE detection from chromatin accessibility profiles that are enriched in CREs strongly bound by master transcription regulators, proximal to highly expre...
Source: Genome Research - October 1, 2019 Category: Genetics & Stem Cells Authors: Madani Tonekaboni, S. A., Mazrooei, P., Kofia, V., Haibe-Kains, B., Lupien, M. Tags: METHOD Source Type: research

Sequence determinants of polyadenylation-mediated regulation [RESEARCH]
The cleavage and polyadenylation reaction is a crucial step in transcription termination and pre-mRNA maturation in human cells. Despite extensive research, the encoding of polyadenylation-mediated regulation of gene expression within the DNA sequence is not well understood. Here, we utilized a massively parallel reporter assay to inspect the effect of over 12,000 rationally designed polyadenylation sequences (PASs) on reporter gene expression and cleavage efficiency. We find that the PAS sequence can modulate gene expression by over five orders of magnitude. By using a uniquely designed scanning mutagenesis data set, we g...
Source: Genome Research - October 1, 2019 Category: Genetics & Stem Cells Authors: Vainberg Slutskin, I., Weinberger, A., Segal, E. Tags: RESEARCH Source Type: research

Involving People with Learning Disabilities in Guideline Development
(Source: The Patient - Patient-Centered Outcomes Research)
Source: The Patient - Patient-Centered Outcomes Research - October 1, 2019 Category: International Medicine & Public Health Source Type: research

Survey Research in Radiology: “Strongly Agree”
In clinical research as in life, anything that is worth doing is worth doing right. With that in mind, we introduce the focus issue on survey methods, the first in a series exploring hot topics in imaging research and care delivery. Survey research is a fully developed independent discipline, and standard medical training alone does not equip us to do it well [1]. But radiology researchers can learn from literature, expert colleagues, and experience. A deeper immersion into survey methodology reveals its richness and complexity [2]. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - October 1, 2019 Category: Radiology Authors: Prasad R. Shankar, Katherine E. Maturen Tags: Introduction Source Type: research

Simulated Lumbar Dual-Energy X-Ray Absorptiometry With Machine Learning Algorithms: Why Radiologists Who Interpret Abdominal CTs Should Care
Without gravity, we don ’t need muscle and bone mass to support our own weight, which is what makes life in space so much fun but also so inherently bad for the human body, long-term.—Chris Hadfield, retired astronaut [1] (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - October 1, 2019 Category: Radiology Authors: Julianna M. Czum Tags: Data science Source Type: research

Machine Learning Assisted MRI Characterization for Diagnosis of Neonatal Acute Bilirubin Encephalopathy
Conclusions: The results from this study demonstrated a new strategy of characterizing ABE-induced intensity and morphological changes in MRI, which are difficult to be recognized, interpreted, or quantified by the routine experience and visual-based reading strategy. With more quantitative and objective measurements, the reported machine learning assisted radiomics features-based approach can improve the diagnosis and support clinical decision-making. (Source: Frontiers in Neurology)
Source: Frontiers in Neurology - October 1, 2019 Category: Neurology Source Type: research

Deep Learning: A Review for the Radiation Oncologist
Conclusion: Over the past few years, there has been a significant number of studies assessing the performance of DL techniques in radiation oncology. They demonstrate how DL-based systems can aid clinicians in their daily work, be it by reducing the time required for or the variability in segmentation, or by helping to predict treatment outcomes and toxicities. It still remains to be seen when these techniques will be employed in routine clinical practice. (Source: Frontiers in Oncology)
Source: Frontiers in Oncology - October 1, 2019 Category: Cancer & Oncology Source Type: research

Evaluation of the Hippocampal Normal Tissue Complication Model in a Prospective Cohort of Low Grade Glioma Patients —An Analysis Within the EORTC 22033 Clinical Trial
Conclusions: In this dataset of only LGG patients treated with radiotherapy the hippocampus NTCP model did not perform as expected to predict cognitive decline based on dose to 40% of the bilateral hippocampus. Caution should be taken when extrapolating this model outside of the range of dose-volume parameters in which it was developed. (Source: Frontiers in Oncology)
Source: Frontiers in Oncology - October 1, 2019 Category: Cancer & Oncology Source Type: research

Cognitive Profile in Ultra High Risk for Psychosis and Schizophrenia: A Comparison Using Coordinated Norms
Background: Cognitive impairment is not only a core aspect of schizophrenia but also commonly observed in help-seeking youth at ultra high risk for psychosis (UHR), with potential implications for prognosis and individualized treatment. However, there is no consensus on the cognitive profile in the UHR state, partly due to lack of valid comparisons of performance in established schizophrenia and UHR.Objectives: To compare the cognitive functioning and profile of UHR subjects to a sample with schizophrenia, they were split into two groups based on duration of illness. Comparisons were made using coordinated norms based on h...
Source: Frontiers in Psychiatry - October 1, 2019 Category: Psychiatry Source Type: research

Linking Early Life Hypothalamic –Pituitary–Adrenal Axis Functioning, Brain Asymmetries, and Personality Traits in Dyslexia: An Informative Case Study
Developmental dyslexia (DD) is a multi-system disorder, combining influences of susceptibility genes and environmental factors. The causative interaction between specific genetic factors, brain regions, and personality/mental disorders, as well as specific learning disabilities, has been thoroughly investigated with regard to the approach of developing a multifaceted diagnostic procedure with an intervention strategy potential. In an attempt to add new translational evidence to the interconnection of the above factors in the occurrence of DD, we performed a combinatorial analysis of brain asymmetries, personality traits, c...
Source: Frontiers in Human Neuroscience - October 1, 2019 Category: Neuroscience Source Type: research

Author reply
We appreciate the thoughtful invited commentary (Ref to be added once known) regarding our study on resident impact on patient and surgeon satisfaction and outcomes (Ref to be added once known). Resident training approaches in the field urology continue to evolve as does the number of required procedures to learn and their associated administrative burden.1 Thus it is incumbent upon surgical trainers to continue to optimize not only how we train but garner continued financial support for our surgical learners. (Source: Urology)
Source: Urology - October 1, 2019 Category: Urology & Nephrology Authors: Bradley C. Holland, Tobias S. K öhler Source Type: research

Diurnal blood pressure loads are associated with lower cognitive performances in controlled-hypertensive elderly individuals
This study examines whether BP load inversely correlates with performance in cognitive tasks in normotensive or controlled hypertensive (CHT) individuals. Methods: Participants between 60 and 75 years old were divided into normotensive participants who did not receive antihypertensive treatment (n = 49) and CHT patients (n = 28). They were evaluated for BP using ambulatory blood pressure monitoring and cognitive functions with tests assessing cognitive flexibility, working and episodic memory, and processing speed. Results: Analysis of covariance between normotensive and CHT participants revealed lower cognit...
Source: Journal of Hypertension - September 30, 2019 Category: Cardiology Tags: ORIGINAL PAPERS: Epidemiology Source Type: research

Updating CPD modules to help improve learning
From September 2019, our CPD modules will be changing from ‘true or false’ questions to ‘single best answer’ questions. (Source: The Pharmaceutical Journal)
Source: The Pharmaceutical Journal - September 30, 2019 Category: Drugs & Pharmacology Source Type: research

Quantitative Analysis of Competency Levels in Medical Interns of a Tertiary Care Hospital in India - A Questionnaire Based Cross Sectional Study.
Conclusion: There seems to exist significant disconnect in the expectations of MCI on one hand and actual knowledge and skill acquisition of the doctors on other. A departmental wise curriculum and exams at the end of each departmental posting which is more skill based will enable a well-trained doctor with reasonable skills and knowledge to obtain his license to practice. PMID: 31561686 [PubMed - in process] (Source: Journal of the Association of Physicians of India)
Source: Journal of the Association of Physicians of India - September 30, 2019 Category: General Medicine Tags: J Assoc Physicians India Source Type: research

Stratified squamous epithelial biopsy image classifier using machine learning and neighborhood feature selection
Publication date: January 2020Source: Biomedical Signal Processing and Control, Volume 55Author(s): Archana Nawandhar, Navin Kumar, Veena R, Lakshmi YamujalaAbstractSquamous cell carcinoma (SCC) of oral cavity is the most common among oral cancer patients. In this paper, we have developed machine learning based automatic oral squamous cell carcinoma (OSCC) classifier named as Stratified Squamous Epithelial Biopsy Image Classifier (SSE-BIC) to categorize H&E-stained microscopic images of squamous epithelial layer in four different classes: normal, well-differentiated, moderately-differentiated and poorly-differentiated....
Source: Biomedical Signal Processing and Control - September 30, 2019 Category: Biomedical Science Source Type: research

Dysregulated immunological and metabolic functions discovered by a polygenic integrative analysis for polycystic ovary syndrome
ConclusionThis study provided a comprehensive view of the dysregulated functions and information of further management of PCOS. (Source: Reproductive BioMedicine Online)
Source: Reproductive BioMedicine Online - September 30, 2019 Category: Reproduction Medicine Source Type: research

Automatic eye blink artifact removal for EEG based on a sparse coding technique for assessing major mental disorders.
In this study, the proposed method has been tested and validated with five different datasets for artifact detection and correction. Results show that the proposed technique is promising as it successfully extracted the exact locations of eye blinking artifacts. The accuracy of the method (automatic detection) is 89.6% which represents a better estimate than that obtained by an extreme machine learning classifier. PMID: 31601069 [PubMed - in process] (Source: Journal of Integrative Neuroscience)
Source: Journal of Integrative Neuroscience - September 30, 2019 Category: Neuroscience Authors: Zafar R, Qayyum A, Mumtaz W Tags: J Integr Neurosci Source Type: research

Rapid discrimination of fungal species by the colony fingerprinting.
Abstract The contamination of foods and beverages by fungi is a severe health hazard. The rapid identification of fungi species in contaminated goods is important to avoid further contamination. To this end, we developed a fungal discrimination method based on the bioimage informatics approach of colony fingerprinting. This method involves imaging and visualizing microbial colonies (referred to as colony fingerprints) using a lens-less imaging system. Subsequently, the quantitative image features were extracted as discriminative parameters and subjected to analysis using machine learning approaches. Colony fingerp...
Source: Biosensors and Bioelectronics - September 30, 2019 Category: Biotechnology Authors: Maeda Y, Sugiyama Y, Lim TK, Harada M, Yoshino T, Matsunaga T, Tanaka T Tags: Biosens Bioelectron Source Type: research

Discovery of novel allosteric site and covalent inhibitors of FBPase with potent hypoglycemic effects.
Abstract Fructose-1,6-bisphosphatase (FBPase) is an essential enzyme of GNG pathway. Significant advances demonstrate the FBPase plays a critical role in treatment of diabetes. Numerous FBPase inhibitors were developed by targeting AMP site, nevertheless, none of these inhibitors has exhibited suitable potency and druggability. Herein, a new allosteric site (C128) on FBPase was discovered, and several nitrostyrene compounds exhibiting potent FBPase inhibitions were found covalently bind to C128 site on FBPase. Mutagenesis suggest that C128 is the only cysteine that can influence FBPase inhibition, the N125-S124-S1...
Source: European Journal of Medicinal Chemistry - September 30, 2019 Category: Chemistry Authors: Huang Y, Wei L, Han X, Chen H, Ren Y, Xu Y, Song R, Rao L, Su C, Peng C, Feng L, Wan J Tags: Eur J Med Chem Source Type: research

Effects of Stress-Induced Inflammation on Reward Processing in Healthy Young Women.
CONCLUSIONS: Contrary to hypotheses, mild increases in IL-6 following acute stress were associated with increased reward responsiveness during reward learning and selective increases in motivation. Results contribute to an emerging and nuanced literature linking inflammation to reward processing, and demonstrate that behavioral effects of stress-induced inflammation may be detected in the laboratory setting. CLINICAL TRIAL REGISTRATION: NCT03828604. PMID: 31580931 [PubMed - as supplied by publisher] (Source: Brain, Behavior, and Immunity)
Source: Brain, Behavior, and Immunity - September 30, 2019 Category: Neurology Authors: Boyle CC, Stanton AL, Eisenberger NI, Seeman TE, Bower JE Tags: Brain Behav Immun Source Type: research

Machine learning applications in systems metabolic engineering.
Abstract Systems metabolic engineering allows efficient development of high performing microbial strains for the sustainable production of chemicals and materials. In recent years, increasing availability of bio big data, for example, omics data, has led to active application of machine learning techniques across various stages of systems metabolic engineering, including host strain selection, metabolic pathway reconstruction, metabolic flux optimization, and fermentation. In this paper, recent contributions of machine learning approaches to each major step of systems metabolic engineering are discussed. As the us...
Source: Current Opinion in Biotechnology - September 30, 2019 Category: Biotechnology Authors: Kim GB, Kim WJ, Kim HU, Lee SY Tags: Curr Opin Biotechnol Source Type: research

‘Perfect practice makes perfect': the role of laparoscopic simulator training in modern gynaecological training
Abstract Unique psychomotor and perceptual challenges of laparoscopy, such as marred depth perception, the requirement for advanced hand –eye coordination and the use of long instruments, mean that laparoscopy trainees have a steep learning curve. The difficulties that trainees encounter in meeting required laparoscopic competencies may, in part, be overcome through the use of laparoscopic simulation training, with benefits for tr ainees, patients, consultant staff and hospital budgets. There is growing evidence that LST improves patient outcomes, such as shorter operative duration, fewer intraoperative errors an...
Source: The Obstetrician and Gynaecologist - September 30, 2019 Category: OBGYN Authors: Alison Bryant ‐Smith, Janice Rymer, Tom Holland, Maximilian Brincat Tags: EDUCATION Source Type: research

Sentiment Analysis in Children with Neurodevelopmental Disorders in an Ingroup/Outgroup Setting.
bes I Abstract People punish transgressors with different intensity depending if they are members of their group or not. We explore this in a cross-sectional analytical study with paired samples in children with developmental disorders who watched two videos and expressed their opinion. In Video-1, a football-player from the participant's country scores a goal with his hand. In Video-2, a player from another country does the same against the country of the participant. Each subject watched the two videos and their answers were compared. The autism spectrum disorder (ASD) group showed negative feelings in Video 1 (...
Source: Journal of Autism and Developmental Disorders - September 30, 2019 Category: Psychiatry Authors: Vaucheret Paz E, Martino M, Hyland M, Corletto M, Puga C, Peralta M, Deltetto N, Kuhlmann T, Cavalié D, Leist M, Duarte B, Lascombes I Tags: J Autism Dev Disord Source Type: research

Client, provider and community referrer perceptions of telehealth for the delivery of rural paediatric allied health services.
CONCLUSION: Overall, telehealth was acceptable to stakeholders. Providers need training to facilitate child participation online and identify alternatives to physical touch. Co-learning opportunities should be used to address low provider and referrer self-efficacy. PMID: 31571313 [PubMed - as supplied by publisher] (Source: The Australian Journal of Rural Health)
Source: The Australian Journal of Rural Health - September 30, 2019 Category: Rural Health Authors: Campbell J, Theodoros D, Russell T, Gillespie N, Hartley N Tags: Aust J Rural Health Source Type: research

What social epidemiology brings to the table: reconciling social epidemiology and causal inference.
Abstract In response to Galea & Hernán article, "AJE-00585-2019.R1 - Win-win: Reconciling social epidemiology and causal inference," we offer a definition of social epidemiology. We then argue that methodological challenges most salient to social epidemiology have not been adequately addressed in quantitative causal inference, that identifying causes is a worthy scientific goal, and that quantitative causal inference can learn from social epidemiology's methodological innovations. Finally, we make three recommendations for quantitative causal inference. PMID: 31566211 [PubMed - as supplie...
Source: Am J Epidemiol - September 30, 2019 Category: Epidemiology Authors: Robinson WR, Bailey ZD Tags: Am J Epidemiol Source Type: research

Evaluation of a tracheostomy education programme for speech-language therapists.
CONCLUSIONS & IMPLICATIONS: Postgraduate tracheostomy education, using a flipped-classroom approach and low- and high-fidelity simulation, is an effective way to increase knowledge, confidence and manual skill performance in SLTs across patient populations. Simulation is a well-received method of learning. PMID: 31566861 [PubMed - as supplied by publisher] (Source: International Journal of Language and Communication Disorders)
Source: International Journal of Language and Communication Disorders - September 30, 2019 Category: Speech-Language Pathology Authors: Miles A, Greig L, Jackson B, Keesing M Tags: Int J Lang Commun Disord Source Type: research

‘Perfect practice makes perfect': the role of laparoscopic simulator training in modern gynaecological training
Abstract Unique psychomotor and perceptual challenges of laparoscopy, such as marred depth perception, the requirement for advanced hand –eye coordination and the use of long instruments, mean that laparoscopy trainees have a steep learning curve. The difficulties that trainees encounter in meeting required laparoscopic competencies may, in part, be overcome through the use of laparoscopic simulation training, with benefits for tr ainees, patients, consultant staff and hospital budgets. There is growing evidence that LST improves patient outcomes, such as shorter operative duration, fewer intraoperative errors an...
Source: The Obstetrician and Gynaecologist - September 30, 2019 Category: OBGYN Authors: Alison Bryant ‐Smith, Janice Rymer, Tom Holland, Maximilian Brincat Tags: EDUCATION Source Type: research

Episodic memory improvements due to noninvasive stimulation targeting the cortical –hippocampal network: A replication and extension experiment
ConclusionThese findings confirm the beneficial effects of stimulation on episodic memory that were reported previously and indicate that stimulation ‐related gains in new learning ability do not come at the price of accelerated long‐term forgetting. (Source: Brain and Behavior)
Source: Brain and Behavior - September 30, 2019 Category: Neurology Authors: Molly S. Hermiller, Erica Karp, Aneesha S. Nilakantan, Joel L. Voss Tags: ORIGINAL RESEARCH Source Type: research

Brain activity during traditional textbook and audiovisual ‐3D learning
ConclusionsOverall, the results indicate that a similar level of knowledge may be achieved via different cognitive strategies. In our experiment, audiovisual learning appeared to benefit from prefrontal executive resources (as opposed to memorizing verbal information) more than traditional textbook learning. (Source: Brain and Behavior)
Source: Brain and Behavior - September 30, 2019 Category: Neurology Authors: Jesus Pujol, Laura Blanco ‐Hinojo, Gerard Martínez‐Vilavella, Lucila Canu‐Martín, Anna Pujol, Víctor Pérez‐Sola, Joan Deus Tags: ORIGINAL RESEARCH Source Type: research

Sensors, Vol. 19, Pages 4258: A Deep-Learning-Driven Light-Weight Phishing Detection Sensor
Wai Lok Woo This paper designs an accurate and low-cost phishing detection sensor by exploring deep learning techniques. Phishing is a very common social engineering technique. The attackers try to deceive online users by mimicking a uniform resource locator (URL) and a webpage. Traditionally, phishing detection is largely based on manual reports from users. Machine learning techniques have recently been introduced for phishing detection. With the recent rapid development of deep learning techniques, many deep-learning-based recognition methods have also been explored to improve classification performance. This paper...
Source: Sensors - September 30, 2019 Category: Biotechnology Authors: Bo Wei Rebeen Ali Hamad Longzhi Yang Xuan He Hao Wang Bin Gao Wai Lok Woo Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4259: Hysteresis Compensation in Force/Torque Sensors Using Time Series Information
Tsuji The purpose of this study is to compensate for the hysteresis in a six-axis force sensor using signal processing, thereby achieving high-precision force sensing. Although mathematical models of hysteresis exist, many of these are one-axis models and the modeling is difficult if they are expanded to multiple axes. Therefore, this study attempts to resolve this problem through machine learning. Since hysteresis is dependent on the previous history, this study investigates the effect of using time series information in machine learning. Experimental results indicate that the performance is improved by including time...
Source: Sensors - September 30, 2019 Category: Biotechnology Authors: Ryuichiro Koike Sho Sakaino Toshiaki Tsuji Tags: Article Source Type: research

Effectiveness of the Distance Learning Strategy Applied to Orthodontics Education: A Systematic Literature Review
Telemedicine and e-Health, Ahead of Print. (Source: Telemedicine and e-Health)
Source: Telemedicine and e-Health - September 30, 2019 Category: Information Technology Authors: Marcelo Silva Lima Fernanda Guzzo Tonial Eliane Basei Myrian C âmara Brew Eduardo Grossmann Ana Estela Haddad Elken Gomes Rivaldo Ivana Ardenghi Vargas Caren Serra Bavaresco Source Type: research

LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes
by Olivier Collier, V éronique Stoven, Jean-Philippe Vert Cancer driver genes,i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of important functions in tumors, providing a selective growth advantage, allowing uncontrolled proliferation and avoiding apoptosis. It is therefore important to identify these driver genes, both for the fundamental understanding of cancer and to help finding new therapeutic targets or biomarkers. Although the most frequently mutated driver genes have been identified, it is believed that many more remain to be discovered, particularly for driver genes specific to...
Source: PLoS Computational Biology - September 30, 2019 Category: Biology Authors: Olivier Collier Source Type: research

MicroRNA Ratios Distinguish Melanomas from  Nevi
In this study, we applied a machine learning-based pipeline to a dataset consisting of genetic features, clinical features, and next-generation microRNA sequencing from micro-dissected formalin-fixed paraffin embedded melanomas and their adjacent benign precursor nevi. (Source: Journal of Investigative Dermatology)
Source: Journal of Investigative Dermatology - September 30, 2019 Category: Dermatology Authors: Rodrigo Torres, Ursula E. Lang, Miroslav Hejna, Samuel J. Shelton, Nancy M. Joseph, A. Hunter Shain, Iwei Yeh, Maria L. Wei, Michael C. Oldham, Boris C. Bastian, Robert L. Judson-Torres Tags: Original Article Source Type: research

Radiomics Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Sentinel Lymph Node Metastasis in Breast Cancer
Conclusions: We demonstrated the feasibility of combining artificial intelligence and radiomics from DCE-MRI of primary tumors to predict axillary SLN metastasis in breast cancer. This non-invasive approach could be very promising in application. (Source: Frontiers in Oncology)
Source: Frontiers in Oncology - September 30, 2019 Category: Cancer & Oncology Source Type: research

Sensors, Vol. 19, Pages 4258: A Deep-Learning-Driven Light-Weight Phishing Detection Sensor
Wai Lok Woo This paper designs an accurate and low-cost phishing detection sensor by exploring deep learning techniques. Phishing is a very common social engineering technique. The attackers try to deceive online users by mimicking a uniform resource locator (URL) and a webpage. Traditionally, phishing detection is largely based on manual reports from users. Machine learning techniques have recently been introduced for phishing detection. With the recent rapid development of deep learning techniques, many deep-learning-based recognition methods have also been explored to improve classification performance. This paper...
Source: Sensors - September 30, 2019 Category: Biotechnology Authors: Bo Wei Rebeen Ali Hamad Longzhi Yang Xuan He Hao Wang Bin Gao Wai Lok Woo Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4259: Hysteresis Compensation in Force/Torque Sensors Using Time Series Information
Tsuji The purpose of this study is to compensate for the hysteresis in a six-axis force sensor using signal processing, thereby achieving high-precision force sensing. Although mathematical models of hysteresis exist, many of these are one-axis models and the modeling is difficult if they are expanded to multiple axes. Therefore, this study attempts to resolve this problem through machine learning. Since hysteresis is dependent on the previous history, this study investigates the effect of using time series information in machine learning. Experimental results indicate that the performance is improved by including time...
Source: Sensors - September 30, 2019 Category: Biotechnology Authors: Ryuichiro Koike Sho Sakaino Toshiaki Tsuji Tags: Article Source Type: research

Identifying Crohn ’s disease signal from variome analysis
ConclusionsLarger training panels and additional features, including other types of genetic variants and environmental factors, e.g., human-associated microbiota, may improve model performance. However, the results presented here already position AVA,Dx as both an effective method for revealing pathogenesis pathways and as a CD risk analysis tool, which can improve clinical diagnostic time and accuracy. Links to the AVA,Dx Docker image and the BitBucket source code are athttps://bromberglab.org/project/avadx/. (Source: Genome Medicine)
Source: Genome Medicine - September 30, 2019 Category: Genetics & Stem Cells Source Type: research

Deep learning powers a motion-tracking revolution
Nature, Published online: 30 September 2019; doi:10.1038/d41586-019-02942-5A surge in the development of artificial-intelligence technology is driving a new wave of open-source tools for analysing animal behaviour and posture. (Source: Nature AOP)
Source: Nature AOP - September 30, 2019 Category: Research Authors: Roberta Kwok Source Type: research

Mesial temporal lobe epilepsy: Revisiting the relation of hippocampal volumetry with memory deficits
Publication date: November 2019Source: Epilepsy & Behavior, Volume 100, Part AAuthor(s): Sergio Eiji Ono, Arnolfo de Carvalho Neto, Maria Joana Mäder Joaquim, Gustavo Rengel dos Santos, Luciano de Paola, Carlos Eduardo Soares SilvadoAbstractObjectiveNeuropsychological tests can infer the lateralization of the epileptogenic focus, associating verbal memory to mesial structures in the left temporal lobe and visual or nonverbal memory to the right side. High-field magnetic resonance imaging (MRI) with high-resolution protocols allows acquisitions suitable for advanced postprocessing with precise volumetry of brain st...
Source: Epilepsy and Behavior - September 29, 2019 Category: Neurology Source Type: research

Analysis of kinking and twinning behavior in extruded Mg–Y–Zn alloys by acoustic emission method with supervised machine learning technique
Publication date: Available online 28 September 2019Source: Materials Science and Engineering: AAuthor(s): Takayuki Shiraiwa, Kengo Tamura, Manabu EnokiAbstractThe deformation behavior of two extruded Mg–Y–Zn alloys with different volume fractions of long-period stacking ordered (LPSO) phase was analyzed by acoustic emission (AE) method in compression tests. As model materials for AE waveforms corresponding to twinning and kink band formation, pure magnesium and directionally-solidified Mg85Zn6Y9 alloy were also prepared. During compression testing of the model materials, the AE waveforms generated by twinning ...
Source: Materials Science and Engineering: A - September 29, 2019 Category: Materials Science Source Type: research