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https://www.readbyqxmd.com/read/28222381/domain-specific-and-domain-general-processes-underlying-metacognitive-judgments
#1
Lisa M Fitzgerald, Mahnaz Arvaneh, Paul M Dockree
Metacognition and self-awareness are commonly assumed to operate as global capacities. However, there have been few attempts to test this assumption across multiple cognitive domains and metacognitive evaluations. Here, we assessed the covariance between "online" metacognitive processes, as measured by decision confidence judgments in the domains of perception and memory, and error awareness in the domain of attention to action. Previous research investigating metacognition across task domains have not matched stimulus characteristics across tasks raising the possibility that any differences in metacognitive accuracy may be influenced by local task properties...
February 17, 2017: Consciousness and Cognition
https://www.readbyqxmd.com/read/28222194/forecasting-outpatient-visits-using-empirical-mode-decomposition-coupled-with-back-propagation-artificial-neural-networks-optimized-by-particle-swarm-optimization
#2
Daizheng Huang, Zhihui Wu
Accurately predicting the trend of outpatient visits by mathematical modeling can help policy makers manage hospitals effectively, reasonably organize schedules for human resources and finances, and appropriately distribute hospital material resources. In this study, a hybrid method based on empirical mode decomposition and back-propagation artificial neural networks optimized by particle swarm optimization is developed to forecast outpatient visits on the basis of monthly numbers. The data outpatient visits are retrieved from January 2005 to December 2013 and first obtained as the original time series...
2017: PloS One
https://www.readbyqxmd.com/read/28220872/human-enterovirus-71-protein-interaction-network-prompts-antiviral-drug-repositioning
#3
Lu Han, Kang Li, Chaozhi Jin, Jian Wang, Qingjun Li, Qiling Zhang, Qiyue Cheng, Jing Yang, Xiaochen Bo, Shengqi Wang
As a predominant cause of human hand, foot, and mouth disease, enterovirus 71 (EV71) infection may lead to serious diseases and result in severe consequences that threaten public health and cause widespread panic. Although the systematic identification of physical interactions between viral proteins and host proteins provides initial information for the recognition of the cellular mechanism involved in viral infection and the development of new therapies, EV71-host protein interactions have not been explored...
February 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28220358/potential-risk-factors-for-the-development-of-self-injurious-behavior-among-infants-at-risk-for-autism-spectrum-disorder
#4
Adele F Dimian, Kelly N Botteron, Stephen R Dager, Jed T Elison, Annette M Estes, John R Pruett, Robert T Schultz, Lonnie Zwaigenbaum, Joseph Piven, Jason J Wolff
Prevalence of self-injurious behavior (SIB) is as high as 50% among children with autism spectrum disorder (ASD). Identification of risk factors for the development of SIB is critical to early intervention and prevention. However, there is little empirical research utilizing a prospective design to identify early risk factors for SIB. The purpose of this study was to evaluate behavioral characteristics predicting SIB at age 2 years among 235 infants at high familial risk for ASD. Logistic regression results indicated that presence of SIB or proto-SIB and lower developmental functioning at age 12 months significantly predicted SIB at 24 months...
February 20, 2017: Journal of Autism and Developmental Disorders
https://www.readbyqxmd.com/read/28219431/assessment-of-triglyceride-and-cholesterol-in-overweight-people-based-on-multiple-linear-regression-and-artificial-intelligence-model
#5
Jing Ma, Jiong Yu, Guangshu Hao, Dan Wang, Yanni Sun, Jianxin Lu, Hongcui Cao, Feiyan Lin
BACKGROUND: The prevalence of high hyperlipemia is increasing around the world. Our aims are to analyze the relationship of triglyceride (TG) and cholesterol (TC) with indexes of liver function and kidney function, and to develop a prediction model of TG, TC in overweight people. METHODS: A total of 302 adult healthy subjects and 273 overweight subjects were enrolled in this study. The levels of fasting indexes of TG (fs-TG), TC (fs-TC), blood glucose, liver function, and kidney function were measured and analyzed by correlation analysis and multiple linear regression (MRL)...
February 20, 2017: Lipids in Health and Disease
https://www.readbyqxmd.com/read/28219342/effects-of-exposure-to-streptococcus-iniae-on-microrna-expression-in-the-head-kidney-of-genetically-improved-farmed-tilapia-oreochromis-niloticus
#6
Jun Qiang, Fanyi Tao, Jie He, Lanyi Sun, Pao Xu, Wenjin Bao
BACKGROUND: Genetically improved farmed tilapia (GIFT, Oreochromis niloticus) are susceptible to infection by Streptococcus iniae when maintained in modern intensive culture systems. GIFT are commercially important fishes that are cultured widely in southern China. The role of microRNAs (miRNAs) in the regulatory response of GIFT to S. iniae infection has been underestimated and has not yet been well studied. Head kidney has an important immune function in teleost fishes. The main aim of this study was to determine the possible function of miRNAs in head kidney of S...
February 20, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28218650/middleware-design-for-swarm-driving-robots-accompanying-humans
#7
Min Su Kim, Sang Hyuck Kim, Soon Ju Kang
Research on robots that accompany humans is being continuously studied. The Pet-Bot provides walking-assistance and object-carrying services without any specific controls through interaction between the robot and the human in real time. However, with Pet-Bot, there is a limit to the number of robots a user can use. If this limit is overcome, the Pet-Bot can provide services in more areas. Therefore, in this study, we propose a swarm-driving middleware design adopting the concept of a swarm, which provides effective parallel movement to allow multiple human-accompanying robots to accomplish a common purpose...
February 17, 2017: Sensors
https://www.readbyqxmd.com/read/28214576/amplified-induced-neural-oscillatory-activity-predicts-musicians-benefits-in-categorical-speech-perception
#8
Gavin M Bidelman
Event-related brain potentials (ERPs) reveal musical experience refines neural encoding and confers stronger categorical perception (CP) and neural organization for speech sounds. In addition to evoked brain activity, the human EEG can be decomposed into induced (non-phase-locked) response whose various frequency bands reflect different mechanisms of perceptual-cognitive processing. Here, we aimed to clarify which spectral properties of these neural oscillations are most prone to music-related neuroplasticity and which are linked to behavioral benefits in the categorization of speech...
February 15, 2017: Neuroscience
https://www.readbyqxmd.com/read/28212602/happi-2-a-comprehensive-and-high-quality-map-of-human-annotated-and-predicted-protein-interactions
#9
Jake Y Chen, Ragini Pandey, Thanh M Nguyen
BACKGROUND: Human protein-protein interaction (PPI) data is essential to network and systems biology studies. PPI data can help biochemists hypothesize how proteins form complexes by binding to each other, how extracellular signals propagate through post-translational modification of de-activated signaling molecules, and how chemical reactions are coupled by enzymes involved in a complex biological process. Our capability to develop good public database resources for human PPI data has a direct impact on the quality of future research on genome biology and medicine...
February 17, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28212073/a-two-time-scale-neurodynamic-approach-to-constrained-minimax-optimization
#10
Xinyi Le, Jun Wang
This paper presents a two-time-scale neurodynamic approach to constrained minimax optimization using two coupled neural networks. One of the recurrent neural networks is used for minimizing the objective function and another is used for maximization. It is shown that the coupled neurodynamic systems operating in two different time scales work well for minimax optimization. The effectiveness and characteristics of the proposed approach are illustrated using several examples. Furthermore, the proposed approach is applied for H∞ model predictive control...
March 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28209199/making-life-difficult-for-clostridium-difficile-augmenting-the-pathogen-s-metabolic-model-with-transcriptomic-and-codon-usage-data-for-better-therapeutic-target-characterization
#11
Sara Saheb Kashaf, Claudio Angione, Pietro Lió
BACKGROUND: Clostridium difficile is a bacterium which can infect various animal species, including humans. Infection with this bacterium is a leading healthcare-associated illness. A better understanding of this organism and the relationship between its genotype and phenotype is essential to the search for an effective treatment. Genome-scale metabolic models contain all known biochemical reactions of a microorganism and can be used to investigate this relationship. RESULTS: We present icdf834, an updated metabolic network of C...
February 16, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28208446/effective-distances-for-epidemics-spreading-on-complex-networks
#12
Flavio Iannelli, Andreas Koher, Dirk Brockmann, Philipp Hövel, Igor M Sokolov
We show that the recently introduced logarithmic metrics used to predict disease arrival times on complex networks are approximations of more general network-based measures derived from random walks theory. Using the daily air-traffic transportation data we perform numerical experiments to compare the infection arrival time with this alternative metric that is obtained by accounting for multiple walks instead of only the most probable path. The comparison with direct simulations reveals a higher correlation compared to the shortest-path approach used previously...
January 2017: Physical Review. E
https://www.readbyqxmd.com/read/28208383/power-law-statistics-and-universal-scaling-in-the-absence-of-criticality
#13
Jonathan Touboul, Alain Destexhe
Critical states are sometimes identified experimentally through power-law statistics or universal scaling functions. We show here that such features naturally emerge from networks in self-sustained irregular regimes away from criticality. In these regimes, statistical physics theory of large interacting systems predict a regime where the nodes have independent and identically distributed dynamics. We thus investigated the statistics of a system in which units are replaced by independent stochastic surrogates and found the same power-law statistics, indicating that these are not sufficient to establish criticality...
January 2017: Physical Review. E
https://www.readbyqxmd.com/read/28205340/predictive-modeling-of-eeg-time-series-for-evaluating-surgery-targets-in-epilepsy-patients
#14
Andreas Steimer, Michael Müller, Kaspar Schindler
During the last 20 years, predictive modeling in epilepsy research has largely been concerned with the prediction of seizure events, whereas the inference of effective brain targets for resective surgery has received surprisingly little attention. In this exploratory pilot study, we describe a distributional clustering framework for the modeling of multivariate time series and use it to predict the effects of brain surgery in epilepsy patients. By analyzing the intracranial EEG, we demonstrate how patients who became seizure free after surgery are clearly distinguished from those who did not...
February 16, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28204845/mirnas-target-databases-developmental-methods-and-target-identification-techniques-with-functional-annotations
#15
REVIEW
Nagendra Kumar Singh
PURPOSE: microRNA (miRNA) regulates diverse biological mechanisms and metabolisms in plants and animals. Thus, the discoveries of miRNA has revolutionized the life sciences and medical research.The miRNA represses and cleaves the targeted mRNA by binding perfect or near perfect or imperfect complementary base pairs by RNA-induced silencing complex (RISC) formation during biogenesis process. One miRNA interacts with one or more mRNA genes and vice versa, hence takes part in causing various diseases...
February 15, 2017: Cellular and Molecular Life Sciences: CMLS
https://www.readbyqxmd.com/read/28196280/cuda-based-acceleration-and-bpn-assisted-automation-of-bilateral-filtering-for-brain-mr-image-restoration
#16
Herng-Hua Chang, Yu-Ning Chang
PURPOSE: Bilateral filters have been substantially exploited in numerous magnetic resonance (MR) image restoration applications for decades. Due to the deficiency of theoretical basis on the filter parameter setting, empirical manipulation with fixed values and noise variance related adjustments has generally been employed. The outcome of these strategies is usually sensitive to the variation of the brain structures and not all the three parameter values are optimal. This article is in an attempt to investigate the optimal setting of the bilateral filter, from which an accelerated and automated restoration framework is developed...
February 14, 2017: Medical Physics
https://www.readbyqxmd.com/read/28193583/nicotinic-modulation-of-salience-network-connectivity-and-centrality-in-schizophrenia
#17
Jason Smucny, Korey P Wylie, Eugene Kronberg, Kristina T Legget, Jason R Tregellas
Although functional abnormalities of the salience network are associated with schizophrenia, the acute effects of nicotine on its function and network dynamics during the resting state in patients are poorly understood. In this study, the effects of a 7 mg nicotine patch (vs. placebo) on salience network connectivity were examined in 17 patients with schizophrenia and 19 healthy subjects. We hypothesized abnormal connectivity between the salience network and other major networks (e.g. executive network) in patients under placebo administration and amelioration of this difference after nicotine...
February 3, 2017: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/28193260/evaluating-the-effect-of-annotation-size-on-measures-of-semantic-similarity
#18
Maxat Kulmanov, Robert Hoehndorf
BACKGROUND: Ontologies are widely used as metadata in biological and biomedical datasets. Measures of semantic similarity utilize ontologies to determine how similar two entities annotated with classes from ontologies are, and semantic similarity is increasingly applied in applications ranging from diagnosis of disease to investigation in gene networks and functions of gene products. RESULTS: Here, we analyze a large number of semantic similarity measures and the sensitivity of similarity values to the number of annotations of entities, difference in annotation size and to the depth or specificity of annotation classes...
February 13, 2017: Journal of Biomedical Semantics
https://www.readbyqxmd.com/read/28193257/bell-s-palsy-in-children-bellpic-protocol-for-a-multicentre-placebo-controlled-randomized-trial
#19
Franz E Babl, Mark T Mackay, Meredith L Borland, David W Herd, Amit Kochar, Jason Hort, Arjun Rao, John A Cheek, Jeremy Furyk, Lisa Barrow, Shane George, Michael Zhang, Kaya Gardiner, Katherine J Lee, Andrew Davidson, Robert Berkowitz, Frank Sullivan, Emily Porrello, Kim Marie Dalziel, Vicki Anderson, Ed Oakley, Sandy Hopper, Fiona Williams, Catherine Wilson, Amanda Williams, Stuart R Dalziel
BACKGROUND: Bell's palsy or acute idiopathic lower motor neurone facial paralysis is characterized by sudden onset paralysis or weakness of the muscles to one side of the face controlled by the facial nerve. While there is high level evidence in adults demonstrating an improvement in the rate of complete recovery of facial nerve function when treated with steroids compared with placebo, similar high level studies on the use of steroids in Bell's palsy in children are not available. The aim of this study is to assess the utility of steroids in Bell's palsy in children in a randomised placebo-controlled trial...
February 13, 2017: BMC Pediatrics
https://www.readbyqxmd.com/read/28191039/elevated-transcriptional-levels-of-aldolase-a-aldoa-associates-with-cell-cycle-related-genes-in-patients-with-nsclc-and-several-solid-tumors
#20
Fan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, Yi-Xuan Zhuang, Chao-Qun Hong, Guo-Jun Zhang, Xiao-Jiang Cui, Yu-Kun Cui
BACKGROUND: Aldolase A (ALDOA) is one of the glycolytic enzymes primarily found in the developing embryo and adult muscle. Recently, a new role of ALDOA in several cancers has been proposed. However, the underlying mechanism remains obscure and inconsistent. In this study, we tried to investigate ALDOA-associated (AA) genes using available microarray datasets to help elucidating the role of ALDOA in cancer. RESULTS: In the dataset of patients with non-small-cell lung cancer (NSCLC, E-GEOD-19188), 3448 differentially expressed genes (DEGs) including ALDOA were identified, in which 710 AA genes were found to be positively associated with ALDOA...
2017: BioData Mining
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