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https://www.readbyqxmd.com/read/28430088/informatics-for-health-2017-advancing-both-science-and-practice
#1
Philip J Scott, Ronald Cornet, Colin McCowan, Niels Peek, Paolo Fraccaro, Nophar Geifman, Wouter T Gude, William Hulme, Glen P Martin, Richard Williams
INTRODUCTION: The Informatics for Health congress, 24-26 April 2017, in Manchester, UK, brought together the Medical Informatics Europe (MIE) conference and the Farr Institute International Conference. This special issue of the Journal of Innovation in Health Informatics contains 113 presentation abstracts and 149 poster abstracts from the congress. DISCUSSION: The twin programmes of "Big Data" and "Digital Health" are not always joined up by coherent policy and investment priorities...
April 21, 2017: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/28429909/association-between-maternal-vitamin-d-status-during-pregnancy-and-offspring-cognitive-function-during-childhood-and-adolescence
#2
Sargoor R Veena, Ghattu V Krishnaveni, Krishnamachari Srinivasan, Kotrangada P Thajna, Bhavya G Hegde, Catharine R Gale, Caroline Hd Fall
BACKGROUND AND OBJECTIVES: Animal studies have demonstrated poor cognitive outcomes in offspring in relation to maternal vitamin D deficiency before and/or during pregnancy. Human studies linking maternal vitamin D status during pregnancy with offspring cognitive function are limited. We aimed to test the hypothesis that lower maternal vitamin D status during pregnancy is associated with poor offspring cognitive ability in an Indian population. METHODS AND STUDY DESIGN: Cognitive function was assessed in children from the Mysore Parthenon birth cohort during childhood (age 9-10 years; n=468) and adolescence (age 13-14 years; n=472) using 3 core tests from the Kaufman Assessment Battery for children and additional tests measuring learning, long-term retrieval/ storage, short-term memory, reasoning, verbal fluency, visuo-spatial ability, and attention and concentration...
May 2017: Asia Pacific Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/28427032/social-cognition-in-bipolar-disorder-focus-on-emotional-intelligence
#3
C Varo, E Jimenez, B Solé, C M Bonnín, C Torrent, E Valls, I Morilla, G Lahera, A Martínez-Arán, E Vieta, M Reinares
BACKGROUND: The present study aims to characterize emotional intelligence (EI) variability in a sample of euthymic bipolar disorder (BD) patients through the Mayer- Salovey-Caruso Emotional Intelligence Test (MSCEIT). METHOD: A total of 134 euthymic BD outpatients were recruited and divided into three groups according to the total Emotional Intelligence Quotient (EIQ) score of the MSCEIT, following a statistical criterion of scores 1.5SDs above/below the normative group mean, as follows: a low performance (LP) group (EIQ <85), a normal performance (NP) group (85≤EIQ≤115), and a high performance (HP) group (EIQ >115)...
April 9, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28422856/a-cross-sectional-evaluation-of-meditation-experience-on-electroencephalography-data-by-artificial-neural-network-and-support-vector-machine-classifiers
#4
Yu-Hao Lee, Ya-Ju Hsieh, Yung-Jong Shiah, Yu-Huei Lin, Chiao-Yun Chen, Yu-Chang Tyan, JiaCheng GengQiu, Chung-Yao Hsu, Sharon Chia-Ju Chen
To quantitate the meditation experience is a subjective and complex issue because it is confounded by many factors such as emotional state, method of meditation, and personal physical condition. In this study, we propose a strategy with a cross-sectional analysis to evaluate the meditation experience with 2 artificial intelligence techniques: artificial neural network and support vector machine. Within this analysis system, 3 features of the electroencephalography alpha spectrum and variant normalizing scaling are manipulated as the evaluating variables for the detection of accuracy...
April 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28421820/characteristics-associated-with-physical-activity-capacity-and-performance-in-children-and-adolescents-with-an-acquired-brain-injury
#5
Emmah Baque, Lee Barber, Leanne Sakzewski, Robert Ware, Roslyn N Boyd
AIM: To examine characteristics associated with physical activity capacity and performance in children with acquired brain injury (ABI). METHODS: 58 children (32 men; age 11 years 11 months ± 2 years 6 months; Gross motor function classification system [GMFCS] equivalent I = 29, II = 29) >12 months post ABI were recruited. Physical activity capacity measures included: (i) combined score of three 30-second repetition maximum functional strength exercises; (ii) timed up and go; (iii) 6-minute walk test and (iv) high-level mobility assessment tool (HiMAT)...
April 19, 2017: Brain Injury: [BI]
https://www.readbyqxmd.com/read/28421735/a-self-healable-and-cold-resistant-supercapacitor-based-on-a-multifunctional-hydrogel-electrolyte
#6
Feng Tao, Liming Qin, Zhikui Wang, Qinmin Pan
Excellent self-healability and cold-resistance are attractive properties for a portable/wearable energy-storage device. However, achieving the features is fundamentally dependent on an intrinsically self-healable electrolyte with high ionic conduction at low temperature. Here we report such a hydrogel electrolyte comprising sodium alginate cross-linked by dynamic catechol-borate ester bonding. Since its dynamically cross-linked alginate network can tolerate high content inorganic salts, the electrolyte possesses excellent healing efficiency/cyclability but also high ionic conduction at both room temperature and low temperature...
April 19, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28421717/cognitive-profiles-in-euthymic-patients-with-bipolar-disorders-results-from-the-face-bd-cohort
#7
Paul Roux, Aurélie Raust, Anne Sophie Cannavo, Valérie Aubin, Bruno Aouizerate, Jean-Michel Azorin, Frank Bellivier, Raoul Belzeaux, Thierry Bougerol, Iréna Cussac, Philippe Courtet, Bruno Etain, Sébastien Gard, Sophie Job, Jean-Pierre Kahn, Marion Leboyer, Emilie Olié, Chantal Henry, Christine Passerieux
OBJECTIVES: Although cognitive deficits are a well-established feature of bipolar disorders (BD), even during periods of euthymia, little is known about cognitive phenotype heterogeneity among patients with BD. METHODS: We investigated neuropsychological performance in 258 euthymic patients with BD recruited via the French network of expert centers for BD. We used a test battery assessing six domains of cognition. Hierarchical cluster analysis of the cross-sectional data was used to determine the optimal number of subgroups and to assign each patient to a specific cognitive cluster...
April 19, 2017: Bipolar Disorders
https://www.readbyqxmd.com/read/28420955/hemispheric-differences-in-white-matter-microstructure-between-two-profiles-of-children-with-high-intelligence-quotient-vs-controls-a-tract-based-spatial-statistics-study
#8
Fanny Nusbaum, Salem Hannoun, Gabriel Kocevar, Claudio Stamile, Pierre Fourneret, Olivier Revol, Dominique Sappey-Marinier
Objectives: The main goal of this study was to investigate and compare the neural substrate of two children's profiles of high intelligence quotient (HIQ). Methods: Two groups of HIQ children were included with either a homogeneous (Hom-HIQ: n = 20) or a heterogeneous IQ profile (Het-HIQ: n = 24) as defined by a significant difference between verbal comprehension index and perceptual reasoning index. Diffusion tensor imaging was used to assess white matter (WM) microstructure while tract-based spatial statistics (TBSS) analysis was performed to detect and localize WM regional differences in fractional anisotropy (FA), mean diffusivity, axial (AD), and radial diffusivities...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28420876/examining-gray-matter-structure-associated-with-academic-performance-in-a-large-sample-of-chinese-high-school-students
#9
Song Wang, Ming Zhou, Taolin Chen, Xun Yang, Guangxiang Chen, Meiyun Wang, Qiyong Gong
Achievement in school is crucial for students to be able to pursue successful careers and lead happy lives in the future. Although many psychological attributes have been found to be associated with academic performance, the neural substrates of academic performance remain largely unknown. Here, we investigated the relationship between brain structure and academic performance in a large sample of high school students via structural magnetic resonance imaging (S-MRI) using voxel-based morphometry (VBM) approach...
April 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28420257/gestational-diabetes-management-using-smart-mobile-telemedicine
#10
Mercedes Rigla, Iñaki Martínez-Sarriegui, Gema García-Sáez, Belén Pons, Maria Elena Hernando
Gestational diabetes (GDM) burden has been increasing progressively over the past years. Knowing that intrauterine exposure to maternal diabetes confers high risk for macrosomia as well as for future type 2 diabetes and obesity of the offspring, health care organizations try to provide effective control in spite of the limited resources. Artificial-intelligence-augmented telemedicine has been proposed as a helpful tool to facilitate an efficient widespread medical assistance to GDM. The aim of the study we present was to test the feasibility and acceptance of a mobile decision-support system for GDM, developed in the seventh framework program MobiGuide Project, which includes computer-interpretable clinical practice guidelines, access to data from the electronic health record as well as from glucose, blood pressure, and activity sensors...
April 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28420134/visual-detection-and-tracking-system-for-a-spherical-amphibious-robot
#11
Shuxiang Guo, Shaowu Pan, Liwei Shi, Ping Guo, Yanlin He, Kun Tang
With the goal of supporting close-range observation tasks of a spherical amphibious robot, such as ecological observations and intelligent surveillance, a moving target detection and tracking system was designed and implemented in this study. Given the restrictions presented by the amphibious environment and the small-sized spherical amphibious robot, an industrial camera and vision algorithms using adaptive appearance models were adopted to construct the proposed system. To handle the problem of light scattering and absorption in the underwater environment, the multi-scale retinex with color restoration algorithm was used for image enhancement...
April 15, 2017: Sensors
https://www.readbyqxmd.com/read/28417600/a-bioinspired-mineral-hydrogel-as-a-self-healable-mechanically-adaptable-ionic-skin-for-highly-sensitive-pressure-sensing
#12
Zhouyue Lei, Quankang Wang, Shengtong Sun, Wencheng Zhu, Peiyi Wu
In the past two decades, artificial skin-like materials have received increasing research interests for their broad applications in artificial intelligence, wearable devices, and soft robotics. However, profound challenges remain in terms of imitating human skin because of its unique combination of mechanical and sensory properties. In this work, a bioinspired mineral hydrogel is developed to fabricate a novel type of mechanically adaptable ionic skin sensor. Due to its unique viscoelastic properties, the hydrogel-based capacitive sensor is compliant, self-healable, and can sense subtle pressure changes, such as a gentle finger touch, human motion, or even small water droplets...
April 18, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28417088/boiling-induced-nanoparticles-and-their-constitutive-proteins-from-isatis-indigotica-fort-root-decoction-purification-and-identification
#13
Jianwu Zhou, Jie Liu, Dai Lin, Guanzhen Gao, Huiqin Wang, Jingke Guo, Pingfan Rao, Lijing Ke
Colloidal particles are essential components of sun-dried Isatis indigotica Fort. roots (Ban-Lan-Gen in Chinese, BLG) decoction. Nanoparticles (NPs) were isolated from BLG decoction with size exclusion chromatography and characterized. Their average diameter is ∼120 nm, reversibly responding to pH and temperature changes. They promoted the growth of normal cells but suppressed that of cancerogenic cells and macrophages. Two constitutive glycated proteins were identified from the NPs, namely BLGP1 and BLGP2...
April 2017: Journal of Traditional and Complementary Medicine
https://www.readbyqxmd.com/read/28412664/new-model-for-prediction-binary-mixture-of-antihistamine-decongestant-using-artificial-neural-networks-and-least-squares-support-vector-machine-by-spectrophotometry-method
#14
Shirin Mofavvaz, Mahmoud Reza Sohrabi, Alireza Nezamzadeh-Ejhieh
In the present study, artificial neural networks (ANNs) and least squares support vector machines (LS-SVM) as intelligent methods based on absorption spectra in the range of 230-300nm have been used for determination of antihistamine decongestant contents. In the first step, one type of network (feed-forward back-propagation) from the artificial neural network with two different training algorithms, Levenberg-Marquardt (LM) and gradient descent with momentum and adaptive learning rate back-propagation (GDX) algorithm, were employed and their performance was evaluated...
April 5, 2017: Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
https://www.readbyqxmd.com/read/28412367/deciphering-antigen-responding-antibody-repertoires-by-using-next-generation-sequencing-and-confirming-them-through-antibody-gene-synthesis
#15
Naoko Kono, Lin Sun, Hiroyuki Toh, Takeyuki Shimizu, Hanbing Xue, Osamu Numata, Manabu Ato, Kazuo Ohnishi, Shigeyuki Itamura
Vast diversity and high specificity of antigen recognition by antibodies are hallmarks of the acquired immune system. Although the molecular mechanisms that yield the extremely large antibody repertoires are precisely understood, comprehensive description of the global antibody repertoire generated in individual bodies has been hindered by the lack of powerful measures. To obtain holistic understanding of the antibody-repertoire space, we used next-generation sequencing (NGS) to analyze the deep profiles of naive and antigen-responding repertoires of the IgM, IgG1, and IgG2c classes formed in individual mice...
April 12, 2017: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/28409438/emotional-intelligence-buffers-the-effect-of-physiological-arousal-on-dishonesty
#16
Andrea Pittarello, Beatrice Conte, Marta Caserotti, Sara Scrimin, Enrico Rubaltelli
We studied the emotional processes that allow people to balance two competing desires: benefitting from dishonesty and keeping a positive self-image. We recorded physiological arousal (skin conductance and heart rate) during a computer card game in which participants could cheat and fail to report a certain card when presented on the screen to avoid losing their money. We found that higher skin conductance corresponded to lower cheating rates. Importantly, emotional intelligence regulated this effect; participants with high emotional intelligence were less affected by their physiological reactions than those with low emotional intelligence...
April 13, 2017: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28406111/a-survey-based-study-of-emotional-intelligence-as-it-relates-to-gender-and-academic-performance-of-medical-students
#17
Ashwini P Aithal, Naveen Kumar, Prasaniya Gunasegeran, Sivagamy M Sundaram, Lim Zhen Rong, Sujatha P Prabhu
BACKGROUND: Emotional intelligence (EI) refers to the composite set of capabilities that enable a person to identify, assess, understand, and control emotions of oneself and others. This study was conducted to assess trait EI, to examine possible differences in the EI level of medical students in terms of gender, and to investigate the correlation between EI of medical students and their academic performance. METHODS: We used a cross-sectional survey consisting of a self-assessment questionnaire distributed to 200 undergraduate medical students after informed consent...
September 2016: Education for Health: Change in Training & Practice
https://www.readbyqxmd.com/read/28405888/effects-of-common-grm5-genetic-variants-on-cognition-hippocampal-volume-and-mglur5-protein-levels-in-schizophrenia
#18
Natalie Matosin, Kelly Anne Newell, Yann Quidé, Jessica Lee Andrews, Nina Teroganova, Melissa Jayne Green, Francesca Fernandez
GRM5 (coding for metabotropic glutamate receptor 5, mGluR5) is a promising target for the treatment of cognitive deficits in schizophrenia, but there has been little investigation of its association with cognitive and brain phenotypes within this disorder. We examined the effects of common genetic variation in GRM5 with cognitive function, hippocampal volume, and hippocampal mGluR5 protein levels in schizophrenia patients relative to healthy controls. Two independent GRM5 variants rs60954128 [C>T] and rs3824927 [G>T] were genotyped in a schizophrenia case/control cohort (n=249/261)...
April 13, 2017: Brain Imaging and Behavior
https://www.readbyqxmd.com/read/28403224/hstlbo-a-hybrid-algorithm-based-on-harmony-search-and-teaching-learning-based-optimization-for-complex-high-dimensional-optimization-problems
#19
Shouheng Tuo, Longquan Yong, Fang'an Deng, Yanhai Li, Yong Lin, Qiuju Lu
Harmony Search (HS) and Teaching-Learning-Based Optimization (TLBO) as new swarm intelligent optimization algorithms have received much attention in recent years. Both of them have shown outstanding performance for solving NP-Hard optimization problems. However, they also suffer dramatic performance degradation for some complex high-dimensional optimization problems. Through a lot of experiments, we find that the HS and TLBO have strong complementarity each other. The HS has strong global exploration power but low convergence speed...
2017: PloS One
https://www.readbyqxmd.com/read/28402674/towards-highly-efficient-electrocatalyst-for-li-o2-batteries-using-biphasic-n-doping-cobalt-graphene-multiple-capsule-heterostructures
#20
Guoqiang Tan, Lina Chong, Rachid Amine, Jun Lu, Cong Liu, Yifei Yuan, Jianguo Wen, Kun He, Xuanxuan Bi, Yuanyuan Guo, Hsien-Hau Wang, Reza Shahbazian-Yassar, Said Al-Hallaj, Dean J Miller, Di-Jia Liu, Khalil Amine
To promote lithium-oxygen batteries available for practical applications, the development of advanced cathode catalysts with low-cost, high activity and stable structural properties is demanded. Such development is rooted on certain intelligent catalyst-electrode design that fundamentally facilitates electronic and ionic transport, and improves oxygen diffusivity in a porous environment. Here we design a biphasic nitrogen-doped cobalt@graphene multiple-capsule heterostructure, combined with a flexible, stable porous electrode architecture, and apply it as promising cathodes for lithium-oxygen cells...
April 12, 2017: Nano Letters
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