The developmental transition from holistic to analytic character learning in child readers of Chinese
Publication date: October 2018Source: Learning and Individual Differences, Volume 67Author(s): Bonnie Wing-Yin ChowAbstractThe present study investigated children's capabilities of utilizing analytic strategies in Chinese character learning across different stages of reading development. It employed an associative learning paradigm with pseudocharacters and invented characters as stimuli, which were assigned to regular and irregular conditions based on print-sound-meaning regularity. Participants were 165 Chinese children (65 kindergarteners, 53 primary second graders and 47 primary fifth graders). Repeated measures ANOVA ...
Source: Learning and Individual Differences - August 19, 2018 Category: Psychiatry & Psychology Source Type: research

Bioactive compounds and biological functions of sea cucumbers as potential functional foods
Publication date: October 2018Source: Journal of Functional Foods, Volume 49Author(s): Cheng Xu, Rui Zhang, Zhiyou WenAbstractSea cucumbers are a group of economically important invertebrate marine animals that have been widely used as tonic foods in Asia countries. Various bioactive compounds in sea cucumbers including peptides, triterpene glycosides, polysaccharides, phenols, and lipids have been reported. These compounds demonstrate a myriad of salubrious biological functions such as anti-oxidant, anticancer, anti-inflammation, anti-thrombus, anti-microbes, anti-diabetes, anti-obesity, and learning and memory improvemen...
Source: Journal of Functional Foods - August 19, 2018 Category: Nutrition Source Type: research

Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases
DiscussionWe applied a high-dimensional machine learning approach to estimate a novel AD risk factor for WHIMS-MRI study participants using ADNI data. The GM AD-PS scores showed strong associations with incident cognitive impairment and cross-sectional and longitudinal associations with age, cognitive function, cognitive status and WM SVID volume lending support to the ongoing validation of the GM AD-PS score. (Source: NeuroImage)
Source: NeuroImage - August 18, 2018 Category: Neuroscience Source Type: research

Robust Long-term Correlation Tracking using Convolutional Features and Detection Proposals
Publication date: Available online 18 August 2018Source: NeurocomputingAuthor(s): Bin Lin, Ying Li, Xizhe Xue, Jonathan Cheung-Wai ChanAbstractCorrelation filter based trackers have achieved appealing performance and high efficiency in recent years. However, for long-term tracking where target objects undergo dramatic appearance variation due to heavy occlusion or out-of-view, conventional correlation filter based tracking algorithms would be distracted by irrelevant objects. Once the trained tracker loses its way, it is impossible to recover the information for the following frames as the model has drifted. In this paper,...
Source: Neurocomputing - August 18, 2018 Category: Neuroscience Source Type: research

Spatio-Temporal Convolutional Features with Nested LSTM for Facial Expression Recognition
Publication date: Available online 18 August 2018Source: NeurocomputingAuthor(s): Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang DengAbstractIn this paper, we propose a novel end-to-end architecture termed Spatio-Temporal Convolutional features with Nested LSTM (STC-NLSTM), which learns the muti-level appearance features and temporal dynamics of facial expressions in a joint fashion. More precisely, 3DCNN is used to extract spatio-temporal convolutional features from the image sequences that represent facial expressions, and the dynamics of expressions are modeled by Nested LSTM, which is actually coupled by two sub-LSTMs...
Source: Neurocomputing - August 18, 2018 Category: Neuroscience Source Type: research

Symmetric low-rank representation with adaptive distance penalty for semi-supervised learning
Publication date: Available online 18 August 2018Source: NeurocomputingAuthor(s): Chang-Peng Wang, Jiang-She Zhang, Fang Du, Guang ShiAbstractGraph-based approaches have been successfully used in semi-supervised learning (SSL) by weighting the affinity between the corresponding pairs of samples. Low-rank representation (LRR) is one of the state-of-the-art methods, has been extensively employed in the existing graph-based learning models. In graph-based SSL, a weighted affinity graph induced by LRR coefficients is used to reflect the relationships among data samples. Constructing a robust and discriminative graph to discove...
Source: Neurocomputing - August 18, 2018 Category: Neuroscience Source Type: research

Overfitting Remedy by Sparsifying Regularization on Fully-Connected Layers of CNNs
Publication date: Available online 18 August 2018Source: NeurocomputingAuthor(s): Qi Xu, Ming Zhang, Zonghua Gu, Gang PanAbstractDeep learning, especially Convolutional Neural Networks (CNNs), has been widely applied in many domains. The large number of parameters in a CNN allow it to learn complex features, however, they may tend to hinder generalization by over-fitting training data. Despite many previously proposed regularization methods, over-fitting is still a problem in training a robust CNN. Among many factors that lead to over-fitting, the numerous parameters of fully-connected layers (FCLs) of a typical CNN should...
Source: Neurocomputing - August 18, 2018 Category: Neuroscience Source Type: research

MiR-132, miR-204 and BDNF-TrkB signaling pathway may be involved in spatial learning and memory impairment of the offspring rats caused by fluorine and aluminum exposure during the embryonic stage and into adulthood
This study showed that exposure to fluorine and aluminium, either alone or combined, during the embryonic stage and into adulthood caused spatial learning and memory impairment in offspring rats; its mechanism may be associated with increases in miR-132 and miR-204 expression and downregulation of the BDNF-TrkB pathway in the hippocampus. The effects of F were obvious, but the effects of Al were slight. There were antagonistic effects between F and Al, with Al reducing the toxicity of F. (Source: Environmental Toxicology and Pharmacology)
Source: Environmental Toxicology and Pharmacology - August 18, 2018 Category: Environmental Health Source Type: research

Predicting school achievement: Differential effects of dynamic testing measures and cognitive flexibility for math performance
Publication date: October 2018Source: Learning and Individual Differences, Volume 67Author(s): Femke E. Stad, Carline J.M. Van Heijningen, Karl H. Wiedl, Wilma C.M. ResingAbstractDynamic testing aims to assess potential for learning by measuring performance improvement as a response to training while testing. Dynamic test outcomes have been argued to be related to children's present and future achievements at school. The current study aimed to investigate whether dynamic measures of inductive reasoning would provide additional predictive value of math achievement while taking into account static inductive reasoning perform...
Source: Learning and Individual Differences - August 18, 2018 Category: Psychiatry & Psychology Source Type: research

Critical exacerbation of idiopathic pulmonary fibrosis after transcatheter aortic valve implantation: Need for multidisciplinary care beyond “heart team”
Publication date: Available online 17 August 2018Source: Journal of Cardiology CasesAuthor(s): Yoichiro Sugizaki, Shumpei Mori, Yuichi Nagamatsu, Tomomi Akita, Akira Nagasawa, Takayoshi Toba, Masatsugu Yamamoto, Tatsuya Nishii, Norihiko Obata, Yoshikatsu Nomura, Hiromasa Otake, Toshiro Shinke, Yutaka Okita, Ken-ichi HirataAbstractAn 82-year-old man with severe aortic stenosis and idiopathic pulmonary fibrosis (IPF) underwent transcatheter aortic valve implantation (TAVI) under general anesthesia. However, following a successful TAVI procedure, he developed progressive respiratory failure because of the exacerbation of IPF....
Source: Journal of Cardiology Cases - August 18, 2018 Category: Cardiology Source Type: research

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data
Publication date: Available online 18 August 2018Source: NeuroImageAuthor(s): Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot, for the Alzheimer's Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study of ageingAbstractA large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of Alzhe...
Source: NeuroImage - August 18, 2018 Category: Neuroscience Source Type: research

Bidirectional Adaptive Feature Fusion for Remote Sensing Scene Classification
Publication date: Available online 18 August 2018Source: NeurocomputingAuthor(s): Xiaoqiang Lu, Weijun Ji, Xuelong Li, Xiangtao ZhengAbstractScene classification has become an effective way to interpret the High Spatial Resolution (HSR) remote sensing images. Recently, Convolutional Neural Networks (CNN) have been found to be excellent for scene classification. However, only using the deep models as feature extractor on the aerial image directly is not proper, because the extracted deep features can not capture spatial scale variability and rotation variability in HSR remote sensing images. To relieve this limitation, a bi...
Source: Neurocomputing - August 18, 2018 Category: Neuroscience Source Type: research

A Self-Adaptive Cascade ConvNets Model Based on Label Relation Mining
Publication date: Available online 18 August 2018Source: NeurocomputingAuthor(s): Zhihua Wei, Wen Shen, Cairong Zhao, Duoqian MiaoAbstractUncertainty is a fundamental and unavoidable feature in daily life, which is the same for a single classifier. Thus, combining the predictions of many different classifiers is a very successful way to reduce the uncertainty. In this paper, we present a Correcting Reliability Level (CRL) supervised three-way decision (3WD) cascade model to implement image classification tasks. Our model simulates the human decision process by using 3WD to judge “certainty” or “uncertaint...
Source: Neurocomputing - August 18, 2018 Category: Neuroscience Source Type: research

Latest advances in diagnosing and predicting DILI: What was new in 2017?
Authors: Barnhill MS, Real M, Lewis JH Abstract INTRODUCTION: Drug-induced liver injury (DILI) remains an increasingly recognized cause of hepatotoxicity and liver failure worldwide. In 2017, we continued to learn about predicting, diagnosing, and prognosticating drug hepatotoxicity. Areas covered: In this review, we selected from over 1200 articles from 2017 to synopsize updates in DILI. There were new HLA haplotypes associated with medications including HLA-C0401 and HLA-B*14. There has been continued work with quantitative systems pharmacology, particularly with the DILIsym® initiative, which employs mathema...
Source: Expert Review of Gastroenterology and Hepatology - August 18, 2018 Category: Gastroenterology Tags: Expert Rev Gastroenterol Hepatol Source Type: research

Challenges in Statewide Implementation of a Prehospital Evidence-Based Guideline: An Assessment of Barriers and Enablers in Five States.
CONCLUSION: Statewide dissemination and implementation of an EBG is complex with many challenges. Future efforts should consider the advantages of having statewide model or mandatory guidelines and the value of local champions and be aware of the challenges of a statewide learning management system and of tracking the success of implementation efforts. PMID: 30118367 [PubMed - as supplied by publisher] (Source: Prehospital Emergency Care)
Source: Prehospital Emergency Care - August 18, 2018 Category: Endocrinology Tags: Prehosp Emerg Care Source Type: research

Teaching and learning in the millennial age
AbstractMedical education has changed and evolved over the years and has been greatly influenced by advances in technology. While the learners have also changed and the information and skills to be learned and acquired have exponentially increased, the ultimate purpose of medical education has not changed. Our focus is and has always been to improve patient care. This minisymposium highlights selected specific topics that have the potential to enhance our ability to teach and pass along essential ideas and concepts to modern learners, thus improving the health and wellbeing of patients now and in the future. (Source: Pediatric Radiology)
Source: Pediatric Radiology - August 18, 2018 Category: Radiology Source Type: research

Learning, teaching and writing with reference managers
AbstractReference managers, also known as citation managers, were designed to create bibliographic citations but have evolved into powerful tools for education. In addition to their core competency of easily managing in-text citations and automatically generating a list of works cited, modern reference managers can help researchers manage increasingly large libraries of portable document format (PDF) files, web pages and other documents. Users can annotate, store, organize, tag and search PDFs. These programs fetch useful associated metadata such as publication information, author lists and article abstracts. Additionally,...
Source: Pediatric Radiology - August 18, 2018 Category: Radiology Source Type: research

Designing and testing an educational innovation
AbstractTechnology provides an opportunity to develop innovations to improve the way we teach. Developing educational innovations must be approached in a methodical and thorough manner to identify the educational gap and validate the innovation ’s success in filling the gap. A successful educational innovation requires a stepwise approach that includes needs assessment, design of intervention, testing and analysis, evaluation of intervention, and determination of learning retention. (Source: Pediatric Radiology)
Source: Pediatric Radiology - August 18, 2018 Category: Radiology Source Type: research

What it means ‘to teach’ as a radiologist in the modern era: a personal perspective
AbstractWhether employed in a private practice, a community or academic setting, or even a hybrid practice, radiologists fill many roles in the course of a day. Teaching is one of the most important roles in the dissemination of knowledge and the continued renewal of the health, vibrancy and advancement of our field. In this article the author reviews some of the various facets of what radiology teaching and learning look like in the current era. Highlighted topics include workstation teaching, workshop and small group education, interdisciplinary activities and mentorship. (Source: Pediatric Radiology)
Source: Pediatric Radiology - August 18, 2018 Category: Radiology Source Type: research

Understanding Student Academic Achievement Emotions towards Business Analytic Course: A Case Study among Business Management Students from India
Publication date: Available online 17 August 2018Source: Computers in Human BehaviorAuthor(s): R.K. JenaAbstractAcross business, industry, government and other areas of human endeavor, vast amounts of data are being accumulated and processed to develop understanding of people’s activities, and to optimize organizational processes and outputs. Business analytic related technologies are plays major role in providing useful insights from vast amount of data. Therefore business analytics program are becoming more popular among business management graduates. In the other hand, due to the technical nature of the course, it...
Source: Computers in Human Behavior - August 18, 2018 Category: Information Technology Source Type: research

Cardiac rhythm dance protocol: a smartphone-assisted, hands-on activity to introduce concepts of cardiovascular physiology and scientific methodology.
Abstract Physiology teaching resources have advanced to include innovative pedagogical approaches that meet the learning expectations of the current generation of students, while at the same time ensuring content delivery is accurate and the use of technologies is appropriate. We developed a quick experimental assay protocol to introduce the basic concepts of cardiac rhythms, and to demonstrate simultaneously that smartphone applications are a reliable and cost-effective tool for data collection in teaching the scientific method and performing physiology activities. The cardiac rhythm dance (CRD) protocol engages ...
Source: Adv Physiol Educ - August 18, 2018 Category: Universities & Medical Training Authors: Monteferrante GA, Cruz MM, Mogadouro G, Fantini VO, Castro PO, Halpin PA, Lellis-Santos C Tags: Adv Physiol Educ Source Type: research

Tackling the threshold concepts in physiology: what is the role of the laboratory class?
Abstract Laboratory practical programs are expected to fulfill many roles in the learning process, including the development of laboratory skills and problem-solving skills. However, little is known about the role of laboratory practical classes in the conceptual learning of physiology. Therefore, the main aims of this study were to identify some of the threshold concepts in physiology and to explore the role of our laboratory practical program in helping students to tackle these concepts. An online questionnaire gathered opinions from students on the value of the laboratory classes in helping them to learn. Inter...
Source: Adv Physiol Educ - August 18, 2018 Category: Universities & Medical Training Authors: Horrigan LA Tags: Adv Physiol Educ Source Type: research

Top-down control: A unified principle of cortical learning
Publication date: Available online 17 August 2018Source: Neuroscience ResearchAuthor(s): Hiroshi MakinoAbstractCognitive control of the brain flexibly maps incoming sensory information onto execution of actions appropriate for the current goal. Learning is a process that enables the brain to estimate current states of the world by extracting its spatiotemporal structure and generate goal-directed motor outputs through selective association of events or movement refinement. Accumulating evidence suggests that top-down control from higher-order brain areas modulates downstream neural activity and changes local computations t...
Source: Neuroscience Research - August 18, 2018 Category: Neuroscience Source Type: research

Modulation of learning and memory: A shared framework for interference and generalization
Publication date: Available online 18 August 2018Source: NeuroscienceAuthor(s): Jasmine Herszage, Nitzan CensorAbstractThe human brain is known by its ability to modify and update existing memories, mediated by underlying neuronal plasticity. This ability is facilitated by two main phenomena, Interference and Generalization. Interference occurs when a new memory harms, or is being harmed by, a different memory that was acquired in temporal proximity to it. Generalization on the other hand, refers to the case in which a learned memory is expanded beyond its specific properties. While each of these two phenomena may be well ...
Source: Neuroscience - August 18, 2018 Category: Neuroscience Source Type: research

The age-dependent elevation of miR-335-3p leads to reduced cholesterol and impaired memory in brain
In this study, we uncover that miR-335-3p is significantly increased in aged cultured astrocytes and aged hippocampal brains, accompanied by decreased cellular cholesterol and diminished expression of HMGCR and HMGCS1, both step-limiting enzymes in cholesterol synthesis pathway. We also demonstrate that miR-335-3p suppresses HMGCS1 post-transcriptionally by directly binding to its 3’UTR, and HMGCR through binding mediated by SFRS2. More importantly, aged mice with miR-335-3p deficiency in hippocampal brains exhibit improved learning and memory, accompanied by enhanced levels of PSD95. We further reveal that the level...
Source: Neuroscience - August 18, 2018 Category: Neuroscience Source Type: research

MultiNet PyGRAPPA: Multiple neural networks for reconstructing variable density GRAPPA (a 1H FID MRSI study)
In conclusion, using multiple neural networks to predict the missing points in GRAPPA reconstruction results in a more reliable data recovery while keeping the noise levels under control. Combining this high fidelity reconstruction with variable density undersampling (MultiNet PyGRAPPA) enables higher in-plane acceleration factors even for non-lipid suppressed 1H FID MRSI, without introducing any structured aliasing artifact in the image.Graphical abstract (Source: NeuroImage)
Source: NeuroImage - August 18, 2018 Category: Neuroscience Source Type: research

Semantic Softmax Loss for Zero-Shot Learning
Publication date: Available online 17 August 2018Source: NeurocomputingAuthor(s): Zhong Ji, Yuxin Sun, Yunlong Yu, Jichang Guo, Yanwei PangAbstractA typical pipeline for Zero-Shot Learning (ZSL) is to integrate the visual features and the class semantic descriptors into a multimodal framework with a linear or bilinear model. However, the visual features and the class semantic descriptors locate in different structural spaces, a linear or bilinear model can not capture the semantic interactions between different modalities well. In this letter, we propose a nonlinear approach to impose ZSL as a multi-class classification pr...
Source: Neurocomputing - August 18, 2018 Category: Neuroscience Source Type: research

Neuroprotective and therapeutic effect of Cordyceps militaris on Ischemia-Induced Neuronal Death and Cognitive Impairments
Publication date: Available online 17 August 2018Source: Saudi Journal of Biological SciencesAuthor(s): Young Ock Kim, Hak Jae Kim, Gasem Mohammad Abu-Taweel, Junsang Oh, Gi-Ho SungAbstractCordyceps militaris is a type of fungus consumed by people all over the world and renowned for their nutritional benefits and herbal formulas to promote health and longevity. In the present study investigation was carried out to explore the therapeutic properties and neuroprotective effect of the C. militaris on ischemic brain neuronal injury, impairment of memory and learning in experimental rats induced by a global cerebral ischemia-re...
Source: Saudi Journal of Biological Sciences - August 18, 2018 Category: Biology Source Type: research

F-SVD based algorithm for variability and stability measurement of bio-signals, feature extraction and fusion for pattern recognition
Publication date: January 2019Source: Biomedical Signal Processing and Control, Volume 47Author(s): Anil Hazarika, Mausumi Barthakur, Lachit Dutta, Manabendra BhuyanAbstractA support system with efficient learning framework helps eliciting complete knowledge of underlying phenomena of interest. It makes the analysis less-onerous, time-consuming and error-prone and thus promotes large scale applications. Such modeling requires profound understanding of available information and its appropriate utilization. Albeit success of electromyogram (EMG) support systems, challenges still exits specifically in early phase of design ma...
Source: Biomedical Signal Processing and Control - August 18, 2018 Category: Biomedical Science Source Type: research

Online patient education interventions in type 2 diabetes or cardiovascular disease: A systematic review of systematic reviews
Type 2 diabetes (Type 2 DM) and cardiovascular disease (CVD) are two of the largest causes of ill health and mortality globally [1]. Whilst pharmacological therapy is a key management component, lifestyle factors significantly impact the trajectory. Making adjustments requires patients to learn about the importance of these factors in their condition [2]. Furthermore, enabling patients to better understand their conditions can improve coping strategies and reduce health related anxiety and depression [3]. (Source: Primary Care Diabetes)
Source: Primary Care Diabetes - August 18, 2018 Category: Primary Care Authors: Angharad Kate Woolley, Michelle Hadjiconstantinou, Melanie Davies, Kamlesh Khunti, Samuel Seidu Tags: Original research Source Type: research

Intravenous Iron Therapy in Heart Failure
Iron deficiency anemia is both a comorbid condition and an indicator of poor prognosis in heart failure. The mechanisms by which this occurs are multiple and complex. Recent robust randomized clinical trials have shown significant improvements in quality of life and rates of hospitalization with intravenous repletion of iron. In this article, we review the mechanisms by which iron deficiency impacts heart failure and the evidence behind repletion. There remains a good deal to learn about long-term effects of intravenous iron repletion, and clinical trials are ongoing in this regard. (Source: Heart Failure Clinics)
Source: Heart Failure Clinics - August 18, 2018 Category: Cardiology Authors: Natasha L. Altman, Amit Patel Source Type: research

How students experience integration and perceive development of the ability to integrate learning
AbstractThe merits of integrative learning in promoting better educational outcomes are not questionable. However, there are contentious views on how to implement it. In addition, there is scanty evidence on how students experience it and how they develop the ability to integrate learning. In this paper, students ’ experiences of integration are explored. Using a phenomenographic approach, in-depth interviews and focus group discussions were conducted with students and teachers in an undergraduate medical programme. Analysis of data revealed the “outcome space”—a collective of students’ experi...
Source: Advances in Health Sciences Education - August 18, 2018 Category: Universities & Medical Training Source Type: research

People with diabetes do not learn and recall their diabetes foot education: a cohort study
ConclusionsEducation is vital to effective treatment of people with diabetes. Current common approaches used in individual consultations such as verbal explanations appear ineffective in aiding the learning and retention of podiatry-specific diabetes education. This study highlights the need for research investigating more effective methods to deliver key education to this population to aid retention and therefore assist behaviour change. (Source: Endocrine)
Source: Endocrine - August 18, 2018 Category: Endocrinology Source Type: research

Correlation of Cognitive Abilities of Male Hamadryas Baboon with Age and Hierarchical Status
We studied the correlation between the rank and age of baboons (n=12) with their cognitive abilities. A positive correlation was found between performances of different tests by male. The ability to solve the tests related to bait placement depended on the age of the males and age-related hierarchical status. Four-year-old males performed these tests in 52% of cases, whereas five-year-old males, who reached a higher hierarchical status by this age solved with them in 93% of cases. In the tests for exploratory activity and the ability to learn skills, the differences between the four-year-olds and the five-year-old males ar...
Source: Bulletin of Experimental Biology and Medicine - August 18, 2018 Category: Biology Source Type: research

Staff Perception of Interprofessional Simulation for Verbal De-escalation and Restraint Application to Mitigate Violent Patient Behaviors in the Emergency Department
Publication date: Available online 17 August 2018Source: Journal of Emergency NursingAuthor(s): Wendy Krull, Theresa M. Gusenius, Danyel Germain, Lisa SchnepperAbstractProblemViolent behaviors in the emergency department are on the rise. Mitigation efforts are essential for staff and patient safety. The goal of this quality improvement project was to improve staff perception of knowledge, skills, abilities, confidence, and preparedness when managing violent patient behaviors using interprofessional simulation training and to evaluate staff learning style satisfaction and self-confidence using simulation.MethodsInterprofess...
Source: Journal of Emergency Nursing - August 17, 2018 Category: Nursing Source Type: research

M2 Muscarinic receptor KO (Chrm2 tm1Jwe) Mouse
M2 Muscarinic Receptor Knockout: role in learning and memory, and mediating analgesic effectsof muscarinic agonistsThe five Muscarinic Acetylcholine (ACh) receptors are G-protein coupled receptors (M1R-M5R). M1R, M3R and M5R selectively couple to Gq/G11; M2R and M4R selectively couple to Gi/Go. M2R knockout mice are viable and fertile, and have no major morphological abnormalities.M2 muscarinic receptors are located in the central nervous system and the periphery. Studies with M2R knockout mice strongly suggest that the M2 receptor is the key presynaptic muscarinic receptor mediating the inhibition of hippocampal and corti...
Source: NIDDK Research Resources - August 17, 2018 Category: Endocrinology Source Type: research

Numerical solution for ruin probability of continuous time model based on neural network algorithm
Publication date: Available online 17 August 2018Source: NeurocomputingAuthor(s): Zhou Tao, Liu Xia, Hou Muzhou, Liu ChunhuiAbstractIn the classical risk model, the ruin probability satisfies the renewal Integro-differential equation, which only has an analytic solution when the claim distribution obeys the exponential distribution. In this paper, due to the characteristics of the existence of initial conditions for the equations, by using the modern artificial intelligence and machine learning theory, we construct a neural network model, in which trigonometric function serves as the activation function. Then, based on the...
Source: Neurocomputing - August 17, 2018 Category: Neuroscience Source Type: research

Review of Classical Dimensionality Reduction and Sample Selection Methods for Large-scale Data Processing
Publication date: Available online 17 August 2018Source: NeurocomputingAuthor(s): Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng SunAbstractIn the era of big data, all types of data with increasing samples and high-dimensional attributes are demonstrating their important roles in various fields, such as data mining, pattern recognition and machine learning, etc. Meanwhile, machine learning algorithms are being effectively applied in large-scale data processing. This paper mainly reviews the classical dimensionality reduction and sample selection methods based on machine learning algorithms for large-scale dat...
Source: Neurocomputing - August 17, 2018 Category: Neuroscience Source Type: research

Slow wave detection in sleeping mice: comparison of traditional and machine learning methods
ConclusionsThe use of a particular method of slow wave detection needs to be adjusted to the objectives of a given study: to detect all slow waves, but also numerous false positives can be achieved using the fast frequency approach. Neural network pattern recognition method alone can detect slow waves with the lowest false-positive rate, that can be further minimized with the use of combination of other methods.Graphical Abstract (Source: Journal of Neuroscience Methods)
Source: Journal of Neuroscience Methods - August 17, 2018 Category: Neuroscience Source Type: research

Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors.
Conclusions: Ameloblastomas and KCOTs could be detected based on digital panoramic radiographic images using CNN with accuracy comparable to that of manual diagnosis by oral maxillofacial specialists. These results demonstrate that CNN may aid in screening for ameloblastomas and KCOTs in a substantially shorter time. PMID: 30109156 [PubMed] (Source: Healthcare Informatics Research)
Source: Healthcare Informatics Research - August 17, 2018 Category: Information Technology Tags: Healthc Inform Res Source Type: research

Construction of an Electrocardiogram Database Including 12 Lead Waveforms.
Conclusions: Electrocardiogram information that includes 12 lead waveforms was extracted and transformed into a form that can be analyzed. The description and programming codes in this case report could be a reference for other researchers to build ECG databases using their own local ECG repository. PMID: 30109157 [PubMed] (Source: Healthcare Informatics Research)
Source: Healthcare Informatics Research - August 17, 2018 Category: Information Technology Tags: Healthc Inform Res Source Type: research

Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA.
Authors: Gupta A, Liu T, Shepherd S, Paiva W Abstract [This corrects the article on p. 139 in vol. 24, PMID: 29770247.]. PMID: 30109159 [PubMed - in process] (Source: Healthcare Informatics Research)
Source: Healthcare Informatics Research - August 17, 2018 Category: Information Technology Tags: Healthc Inform Res Source Type: research

Fast Convolutional Method for Automatic Sleep Stage Classification.
Conclusions: The fast convolutional method worked well on the tested datasets. It achieved a high F-measure result and an efficient running time. Thus, it can be considered a promising tool for sleep stage classification. PMID: 30109150 [PubMed] (Source: Healthcare Informatics Research)
Source: Healthcare Informatics Research - August 17, 2018 Category: Information Technology Tags: Healthc Inform Res Source Type: research

The Role of Task Difficulty in Learning a Visuomotor Skill
Conclusions The optimal challenge point framework does not capture the complex relationship between task difficulty and motor learning. Previously reported effects of task difficulty on the magnitude of motor learning are probably mediated by perceived mental workload. Task difficulty did not affect the magnitude of visuomotor skill learning but it affected how learning occurred. The data have implications on how athletes learn new motor skills and patients relearn injury-impaired motor skills during rehabilitation. (Source: Medicine and Science in Sports and Exercise)
Source: Medicine and Science in Sports and Exercise - August 17, 2018 Category: Sports Medicine Tags: Applied Sciences Source Type: research

Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017.
Authors: Li Y, Li H, Yao H Abstract The focus of this study is the use of machine learning methods that combine feature selection and imbalanced process (SMOTE algorithm) to classify and predict diabetes follow-up control satisfaction data. After the feature selection and unbalanced process, diabetes follow-up data of the New Urban Area of Urumqi, Xinjiang, was used as input variables of support vector machine (SVM), decision tree, and integrated learning model (Adaboost and Bagging) for modeling and prediction. The experimental results show that Adaboost algorithm produces better classification results. For the te...
Source: Computational and Mathematical Methods in Medicine - August 17, 2018 Category: Statistics Tags: Comput Math Methods Med Source Type: research

Stratification of the risk of bipolar disorder recurrences in pregnancy and postpartum.
CONCLUSIONS: Previous perinatal history of affective psychosis or depression is the most important predictor of perinatal recurrence in women with bipolar disorder and can be used to individualise risk assessments.Declaration of interestNone. PMID: 30113284 [PubMed - in process] (Source: The British Journal of Psychiatry for Mental Science)
Source: The British Journal of Psychiatry for Mental Science - August 17, 2018 Category: Psychiatry Tags: Br J Psychiatry Source Type: research

Rise of the machines? Machine learning approaches and mental health: opportunities and challenges.
Authors: Tiffin PA, Paton LW Abstract SummaryMachine learning methods are being increasingly applied to physical healthcare. In this article we describe some of the potential benefits, challenges and limitations of this approach in a mental health context. We provide a number of examples where machine learning could add value beyond conventional statistical modelling.Declaration of interestNone. PMID: 30113285 [PubMed - in process] (Source: The British Journal of Psychiatry for Mental Science)
Source: The British Journal of Psychiatry for Mental Science - August 17, 2018 Category: Psychiatry Tags: Br J Psychiatry Source Type: research

Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation
ConclusionsMachine learning-based qCT-TA can distinguish non-cc-RCCs from cc-RCCs with a satisfying performance. On the other hand, the performance of the machine learning-based qCT-TA for distinguishing three major subtypes is rather poor. Corticomedullary phase CT images provide much more valuable texture parameters than unenhanced images. (Source: European Journal of Radiology)
Source: European Journal of Radiology - August 17, 2018 Category: Radiology Source Type: research

Accounting for individual differences in the development of verbal and visual short term memory processes in children
Publication date: August 2018Source: Learning and Individual Differences, Volume 66Author(s): Gabriela V. Koppenol-Gonzalez, Samantha Bouwmeester, Jeroen K. VermuntAbstractIn developmental research on memory, the model of working memory of Baddeley and Hitch (1974, Baddeley, 1986) is the theory most often referred to. This theory has played an important role in studies on human learning in general. However, it is not clear how the verbal and visual short term memory systems develop. In order to investigate this development, we argue that some important issues should be taken into account; a longitudinal research design and...
Source: Learning and Individual Differences - August 17, 2018 Category: Psychiatry & Psychology Source Type: research

Editorial Board
Publication date: August 2018Source: Learning and Individual Differences, Volume 66Author(s): (Source: Learning and Individual Differences)
Source: Learning and Individual Differences - August 17, 2018 Category: Psychiatry & Psychology Source Type: research