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https://www.readbyqxmd.com/read/28109534/categorization-based-stranger-avoidance-does-not-explain-the-uncanny-valley-effect
#1
Karl F MacDorman, Debaleena Chattopadhyay
The uncanny valley hypothesis predicts that an entity appearing almost human risks eliciting cold, eerie feelings in viewers. Categorization-based stranger avoidance theory identifies the cause of this feeling as categorizing the entity into a novel category. This explanation is doubtful because stranger is not a novel category in adults; infants do not avoid strangers while the category stranger remains novel; infants old enough to fear strangers prefer photographs of strangers to those more closely resembling a familiar person; and the uncanny valley's characteristic eeriness is seldom felt when meeting strangers...
January 18, 2017: Cognition
https://www.readbyqxmd.com/read/28109326/from-the-evolution-of-protein-sequences-able-to-resist-self-assembly-to-the-prediction-of-aggregation-propensity
#2
F Bemporad, M Ramazzotti
Folding of polypeptide chains into biologically active entities is an astonishingly complex process, determined by the nature and the sequence of residues emerging from ribosomes. While it has been long believed that evolution has pressed genomes so that specific sequences could adopt unique, functional three-dimensional folds, it is now clear that complex protein machineries act as quality control system and supervise folding. Notwithstanding that, events such as erroneous folding, partial folding, or misfolding are frequent during the life of a cell or a whole organism, and they can escape controls...
2017: International Review of Cell and Molecular Biology
https://www.readbyqxmd.com/read/28108981/accuracy-of-sonographically-estimated-fetal-weight-near-delivery-in-pregnancies-complicated-with-diabetes-mellitus
#3
Amy M Valent, Tondra Newman, Sara Kritzer, Kristin Magner, Carri R Warshak
OBJECTIVES: The purpose of this study was to evaluate the accuracy of sonographic estimations of fetal weight (FW) and signed percent error between pregnant patients with and without diabetes mellitus (DM). METHODS: We conducted a retrospective cohort study of all singleton nonanomalous live births who delivered after 34 weeks and received a sonographic estimation of FW within 2 weeks of delivery at the University of Cincinnati Medical Center between 2008 and 2011...
January 21, 2017: Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine
https://www.readbyqxmd.com/read/28108852/missing-the-target-the-neural-processing-underlying-the-omission-error
#4
Rinaldo Livio Perri, Donatella Spinelli, Francesco Di Russo
The omissions are infrequent errors consisting in missing responses to the target stimuli. This is the first study aimed at investigating the brain activities associated with omissions in a decision-making task. We recorded event-related potentials (ERPs) in 12 subjects which reported a suitable number of omissions in a visual go/no-go task. We investigated both the pre- and post-stimulus brain activities associated with correct and omitted trials. The electrical neuroimaging technique (BESA) was adopted to extract the anterior insula (aIns) activity associated with the prefrontal P2 component (pP2) peaking about 300 ms after the stimulus and reflecting the stimulus-response mapping process...
January 20, 2017: Brain Topography
https://www.readbyqxmd.com/read/28108552/predicted-residual-error-sum-of-squares-of-mixed-models-an-application-to-genomic-prediction
#5
Shizhong Xu
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high throughput genomic data. Most diseases and behaviors in human and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic. Accurate prediction of these traits can help medical professionals diagnose acute diseases and breeders to increase food products, and therefore, significantly contribute to human health and global food security. The best linear unbiased prediction (BLUP) is an important tool to analyze high throughput genomic data for prediction...
January 20, 2017: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/28108081/retention-modeling-and-retention-time-prediction-in-gas-chromatography-and-flow-modulation-comprehensive-two-dimensional-gas-chromatography-the-contribution-of-pressure-on-solute-partition
#6
Antoine Burel, Marie Vaccaro, Yohann Cartigny, Séverine Tisse, Gérard Coquerel, Pascal Cardinael
This study aims at modelling and predicting solute retention in capillary Gas Chromatography (GC) and Flow Modulation comprehensive GC (FM-GCxGC). A new thermodynamic model, taking into account the effects of temperature and pressure, is proposed to describe the variation of the equilibrium partition constant of a solute during its elution. This retention model was challenged with the classical one, and both were applied to: (i) stationary phase film thickness indirect estimation; (ii) retention time (RT) prediction of a set of 11 model polycyclic aromatic hydrocarbons (PAHs) on the SLB-IL60 and DB-35MS columns, in temperature-programmed mode...
January 4, 2017: Journal of Chromatography. A
https://www.readbyqxmd.com/read/28107913/quantitative-structure-retention-relationship-model-for-the-determination-of-naratriptan-hydrochloride-and-its-impurities-based-on-artificial-neural-networks-coupled-with-genetic-algorithm
#7
Mikołaj Mizera, Anna Krause, Przemysław Zalewski, Robert Skibiński, Judyta Cielecka-Piontek
Mathematical modeling of Quantitative Structure - Property Relationships met great interest in fields of in silico drug design and more recently, pharmaceutical analysis. In our approach we proposed automated method of creation Quantitative Structure-Retention Relationship (QSRR) for analysis of triptans, selective serotonin 5-HT1 receptor agonists used for the treatment of acute headache. The method was created using hybrid machine learning approach, namely Genetic algorithm (GA) coupled with artificial neutral networks (ANN)...
March 1, 2017: Talanta
https://www.readbyqxmd.com/read/28107833/water-can-be-a-probe-for-sensing-glucose-in-aqueous-solutions-by-temperature-dependent-near-infrared-spectra
#8
Xiaoyu Cui, Xiuwei Liu, Xiaoming Yu, Wensheng Cai, Xueguang Shao
Near infrared (NIR) spectra are sensitive to the variation on water structure caused by perturbations, such as temperature and additives. In this work, water was applied as a probe to detect glucose in aqueous glucose solutions and human serum samples. Spectral changes of water were captured from the temperature dependent NIR spectra using multilevel simultaneous component analysis (MSCA). The first and second level model were established to describe the quantitative spectra-temperature relationship (QSTR) and the quantitative spectra-concentration relationship (QSCR), i...
March 8, 2017: Analytica Chimica Acta
https://www.readbyqxmd.com/read/28107658/validation-of-a-personalized-curved-muscle-model-of-the-lumbar-spine-during-complex-dynamic-exertions
#9
Jaejin Hwang, Gregory G Knapik, Jonathan S Dufour, Thomas M Best, Safdar N Khan, Ehud Mendel, William S Marras
Previous curved muscle models have typically examined their robustness only under simple, single-plane static exertions. In addition, the empirical validation of curved muscle models through an entire lumbar spine has not been fully realized. The objective of this study was to empirically validate a personalized biologically-assisted curved muscle model during complex dynamic exertions. Twelve subjects performed a variety of complex lifting tasks as a function of load weight, load origin, and load height. Both a personalized curved muscle model as well as a straight-line muscle model were used to evaluate the model's fidelity and prediction of three-dimensional spine tissue loads under different lifting conditions...
January 9, 2017: Journal of Electromyography and Kinesiology
https://www.readbyqxmd.com/read/28107653/re-assessing-acalculia-distinguishing-spatial-and-purely-arithmetical-deficits-in-right-hemisphere-damaged-patients
#10
S Benavides-Varela, D Piva, F Burgio, L Passarini, G Rolma, F Meneghello, C Semenza
Arithmetical deficits in right-hemisphere damaged patients have been traditionally considered secondary to visuo-spatial impairments, although the exact relationship between the two deficits has rarely been assessed. The present study implemented a voxelwise lesion analysis among 30 right-hemisphere damaged patients and a controlled, matched-sample, cross-sectional analysis with 35 cognitively normal controls regressing three composite cognitive measures on standardized numerical measures. The results showed that patients and controls significantly differ in Number comprehension, Transcoding, and Written operations, particularly subtractions and multiplications...
December 26, 2016: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/28107344/psychotic-experiences-and-overhasty-inferences-are-related-to-maladaptive-learning
#11
Heiner Stuke, Hannes Stuke, Veith Andreas Weilnhammer, Katharina Schmack
Theoretical accounts suggest that an alteration in the brain's learning mechanisms might lead to overhasty inferences, resulting in psychotic symptoms. Here, we sought to elucidate the suggested link between maladaptive learning and psychosis. Ninety-eight healthy individuals with varying degrees of delusional ideation and hallucinatory experiences performed a probabilistic reasoning task that allowed us to quantify overhasty inferences. Replicating previous results, we found a relationship between psychotic experiences and overhasty inferences during probabilistic reasoning...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28107205/comparison-of-linear-and-non-linear-models-for-predicting-energy-expenditure-from-raw-accelerometer-data
#12
Alexander H K Montoye, Munni Begum, Zachary Henning, Karin A Pfeiffer
This study had three purposes, all related to evaluating energy expenditure (EE) prediction accuracy from body-worn accelerometers: (1) compare linear regression to linear mixed models, (2) compare linear models to artificial neural network models, and (3) compare accuracy of accelerometers placed on the hip, thigh, and wrists. Forty individuals performed 13 activities in a 90 min semi-structured, laboratory-based protocol. Participants wore accelerometers on the right hip, right thigh, and both wrists and a portable metabolic analyzer (EE criterion)...
January 20, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28103770/integrating-multiple-receptor-conformation-docking-and-multi-dimensional-qsar-for-enhancing-accuracy-of-binding-affinity-prediction
#13
Vangala Radhika, Hassan Araimsh Jaraf, Sivan Sree Kanth, Manga Vijjulatha
BACKGROUND: The accuracy of molecular conformation for Quantitative Structure Activity Relationship (QSAR) studies is an important criteria, and the most favourable bioactive conformer selection is a tough task. Correct ligand alignment as input for 3D-QSAR is an important step that is prone to human biases. Multiple-dimensional QSAR (mQSAR) approach provides a promising alternative to classic 3D-QSAR for drug discovery purposes. OBJECTIVE: Obtaining ligand conformations from multiple receptor conformation docking (MRCD) will reduce the margin of error by incorporating the receptor based alignment of ligand conformations...
January 19, 2017: Current Computer-aided Drug Design
https://www.readbyqxmd.com/read/28103555/robust-head-pose-estimation-based-on-partially-latent-mixture-of-linear-regressions
#14
Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye Ba, Georgios Evangelidis
Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth. Head-pose estimation is challenging because it must cope with changing illumination conditions, variabilities in face orientation and in appearance, partial occlusions of facial landmarks, as well as bounding-box-to- face alignment errors. We propose tu use a mixture of linear regressions with partially-latent output. This regression method learns to map high-dimensional feature vectors (extracted from bounding boxes of faces) onto the joint space of head-pose angles and bounding-box shifts, such that they are robustly predicted in the presence of unobservable phenomena...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103483/dynamic-interaction-between-reinforcement-learning-and-attention-in-multidimensional-environments
#15
Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv
Little is known about the relationship between attention and learning during decision making. Using eye tracking and multivariate pattern analysis of fMRI data, we measured participants' dimensional attention as they performed a trial-and-error learning task in which only one of three stimulus dimensions was relevant for reward at any given time. Analysis of participants' choices revealed that attention biased both value computation during choice and value update during learning. Value signals in the ventromedial prefrontal cortex and prediction errors in the striatum were similarly biased by attention...
January 18, 2017: Neuron
https://www.readbyqxmd.com/read/28103438/acylguanidine-beta-secretase-1-inhibitors-a-combined-experimental-and-free-energy-perturbation-study
#16
Henrik Keränen, Laura Pérez-Benito, Myriam Ciordia, Francisca Delgado, Thomas B Steinbrecher, Daniel Oehlrich, Herman W T Van Vlijmen, Andrés A Trabanco, Gary Tresadern
A series of acylguanidine beta secretase 1 (BACE1) inhibitors with modified scaffold and P3 pocket substituent was synthesized and studied with Free Energy Perturbation (FEP) calculations. The resulting molecules showed potencies in enzymatic BACE1 inhibition assays up to 1 nM. The correlation between the predicted activity from the FEP calculations and the experimental activity was good for the P3 pocket substituents. The average mean unsigned error (MUE) between prediction and experiment was 0.68 ± 0.17 kcal/mol for the default 5 ns lambda window simulation time improving to 0...
January 19, 2017: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/28102620/when-does-speech-sound-disorder-matter-for-literacy-the-role-of-disordered-speech-errors-co-occurring-language-impairment-and-family-risk-of-dyslexia
#17
Marianna E Hayiou-Thomas, Julia M Carroll, Ruth Leavett, Charles Hulme, Margaret J Snowling
BACKGROUND: This study considers the role of early speech difficulties in literacy development, in the context of additional risk factors. METHOD: Children were identified with speech sound disorder (SSD) at the age of 3½ years, on the basis of performance on the Diagnostic Evaluation of Articulation and Phonology. Their literacy skills were assessed at the start of formal reading instruction (age 5½), using measures of phoneme awareness, word-level reading and spelling; and 3 years later (age 8), using measures of word-level reading, spelling and reading comprehension...
February 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28102073/estimates-of-health-impacts-and-radiative-forcing-in-winter-haze-in-eastern-china-through-constraints-of-surface-pm2-5-predictions
#18
Meng Gao, Pablo E Saide, Jinyuan Xin, Yuesi Wang, Zirui Liu, Yuxuan Wang, Zifa Wang, Mariusz Pagowski, Sarath K Guttikunda, Gregory R Carmichael
The Gridpoint Statistical Interpolation (GSI) Three-Dimensional Variational (3DVAR) data assimilation system is extended to treat the MOSAIC aerosol model in WRF-Chem, and to be capable of assimilating surface PM2.5 concentrations. The coupled GSI-WRF-Chem system is applied to reproduce aerosol levels over China during an extremely polluted winter month, January 2013. After assimilating surface PM2.5 concentrations, the correlation coefficients between observations and model results averaged over the assimilated sites are improved from 0...
January 19, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28101727/reliable-prediction-of-adsorption-isotherms-via-genetic-algorithm-molecular-simulation
#19
L LoftiKatooli, A Shahsavand
Conventional molecular simulation techniques such as grand canonical Monte Carlo (GCMC) strictly rely on purely random search inside the simulation box for predicting the adsorption isotherms. This blind search is usually extremely time demanding for providing a faithful approximation of the real isotherm and in some cases may lead to non-optimal solutions. A novel approach is presented in this article which does not use any of the classical steps of the standard GCMC method, such as displacement, insertation, and removal...
January 2017: Journal of Molecular Modeling
https://www.readbyqxmd.com/read/28101668/results-of-a%C3%A2-population-based-assessment-we-need-better-communication-and-more-profound-patient-involvement
#20
Gerald Sendlhofer, Gudrun Pregartner, Karina Leitgeb, Magdalena Hoffmann, Andrea Berghold, Christian Smolle, Gernot Brunner, Lars Peter Kamolz
BACKGROUND: In Austria several regulations were published in order to support initiatives to increase patient safety. Since then, many patient safety projects were implemented in Austrian hospitals; therefore, it was the aim of the current survey to examine the perceptions of Austrian citizens with respect to topics relevant to patient safety. METHODS: Between 8 and 22 October 2015 a qualitative cross-sectional telephone interview study was performed. A sample of citizens above 14 years of age was randomly drawn...
January 18, 2017: Wiener Klinische Wochenschrift
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