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https://www.readbyqxmd.com/read/28822333/virtual-screening-and-repositioning-of-inconclusive-molecules-of-beta-lactamase-bioassays-a-data-mining-approach
#1
Akshata Gad, Andrew Titus Manuel, Jinuraj K R, Lijo John, Sajeev R, Shanmuga Priya V G, Abdul Jaleel U C
This study focuses on the best possible way forward in utilizing inconclusive molecules of PubChem bioassays AID 1332, AID 434987 and AID 434955, which are related to beta-lactamase inhibitors of Mycobacterium tuberculosis (Mtb). The inadequacy in the experimental methods that were observed during the invitro screening resulted in an inconclusive dataset. This could be due to certain moieties present within the molecules. In order to reconsider such molecules, insilico methods can be suggested in place of invitro methods For instance, datamining and medicinal chemistry methods: have been adopted to prioritise the inconclusive dataset into active or inactive molecules...
July 29, 2017: Computational Biology and Chemistry
https://www.readbyqxmd.com/read/28821904/developmentally-regulated-signaling-pathways-in-glioma-invasion
#2
REVIEW
Shwetal Mehta, Costanza Lo Cascio
Malignant gliomas are the most common, infiltrative, and lethal primary brain tumors affecting the adult population. The grim prognosis for this disease is due to a combination of the presence of highly invasive tumor cells that escape surgical resection and the presence of a population of therapy-resistant cancer stem cells found within these tumors. Several studies suggest that glioma cells have cleverly hijacked the normal developmental program of neural progenitor cells, including their transcriptional programs, to enhance gliomagenesis...
August 18, 2017: Cellular and Molecular Life Sciences: CMLS
https://www.readbyqxmd.com/read/28821822/bladder-cancer-treatment-response-assessment-in-ct-using-radiomics-with-deep-learning
#3
Kenny H Cha, Lubomir Hadjiiski, Heang-Ping Chan, Alon Z Weizer, Ajjai Alva, Richard H Cohan, Elaine M Caoili, Chintana Paramagul, Ravi K Samala
Cross-sectional X-ray imaging has become the standard for staging most solid organ malignancies. However, for some malignancies such as urinary bladder cancer, the ability to accurately assess local extent of the disease and understand response to systemic chemotherapy is limited with current imaging approaches. In this study, we explored the feasibility that radiomics-based predictive models using pre- and post-treatment computed tomography (CT) images might be able to distinguish between bladder cancers with and without complete chemotherapy responses...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28821785/machine-learning-quantum-phases-of-matter-beyond-the-fermion-sign-problem
#4
Peter Broecker, Juan Carrasquilla, Roger G Melko, Simon Trebst
State-of-the-art machine learning techniques promise to become a powerful tool in statistical mechanics via their capacity to distinguish different phases of matter in an automated way. Here we demonstrate that convolutional neural networks (CNN) can be optimized for quantum many-fermion systems such that they correctly identify and locate quantum phase transitions in such systems. Using auxiliary-field quantum Monte Carlo (QMC) simulations to sample the many-fermion system, we show that the Green's function holds sufficient information to allow for the distinction of different fermionic phases via a CNN...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28821746/neural-circuitry-governing-anxious-individuals-mis-allocation-of-working-memory-to-threat
#5
Daniel M Stout, Alexander J Shackman, Walker S Pedersen, Tara A Miskovich, Christine L Larson
Dispositional anxiety is a trait-like phenotype that confers increased risk for a range of debilitating neuropsychiatric disorders. Like many patients with anxiety disorders, individuals with elevated levels of dispositional anxiety are prone to intrusive and distressing thoughts in the absence of immediate threat. Recent electrophysiological research suggests that these symptoms are rooted in the mis-allocation of working memory (WM) resources to threat-related information. Here, functional MRI was used to identify the network of brain regions that support WM for faces and to quantify the allocation of neural resources to threat-related distracters in 81 young adults...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28821729/nonlinear-bayesian-filtering-and-learning-a-neuronal-dynamics-for-perception
#6
Anna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, Jean-Pascal Pfister
The robust estimation of dynamical hidden features, such as the position of prey, based on sensory inputs is one of the hallmarks of perception. This dynamical estimation can be rigorously formulated by nonlinear Bayesian filtering theory. Recent experimental and behavioral studies have shown that animals' performance in many tasks is consistent with such a Bayesian statistical interpretation. However, it is presently unclear how a nonlinear Bayesian filter can be efficiently implemented in a network of neurons that satisfies some minimum constraints of biological plausibility...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28821672/audio-visual-modulation-in-mouse-v1-depends-on-cross-modal-stimulus-configuration-and-congruency
#7
Guido T Meijer, Jorrit S Montijn, Cyriel M A Pennartz, Carien S Lansink
The sensory neocortex is a highly connected associative network, in which information from multiple senses is integrated, even at the level of the primary sensory areas. Although this view is supported by a growing body of empirical evidence, the neural mechanisms of cross-modal integration in primary sensory areas, such as the primary visual cortex (V1), are still largely unknown. Using two-photon calcium imaging in awake mice, we show that the encoding of audio-visual stimuli in V1 neuronal populations is highly dependent on the features of the stimulus constituents...
August 8, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28821648/bilingual-language-switching-in-the-lab-vs-in-the-wild-the-spatio-temporal-dynamics-of-adaptive-language-control
#8
Esti Blanco-Elorrieta, Liina Pylkkänen
For a bilingual human, every utterance requires a choice about which language to use. This choice is commonly regarded as part of general executive control, engaging prefrontal and anterior cingulate cortices similarly to many types of effortful task-switching. However, while language control within artificial switching paradigms has been heavily studied, the neurobiology of natural switching within socially cued situations has not been characterized. Additionally, although theoretical models address how language control mechanisms adapt to the distinct demands of different interactional contexts, these predictions have not been empirically tested...
August 16, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28821646/location-of-the-mesopontine-neurons-responsible-for-maintanance-of-anesthetic-loss-of-consciousness
#9
Anne Minert, Shai-Lee Yatziv, Marshall Devor
The transition from wakefulness to general anesthesia is widely attributed to suppressive actions of anesthetic molecules distributed by the systemic circulation to the cerebral cortex (for amnesia and loss-of-consciousness) and to the spinal cord (for atonia and antinociception). An alternative hypothesis proposes that anesthetics act on one or more brainstem or diencephalic nuclei, with suppression of cortex and spinal cord mediated by dedicated axonal pathways. We previously documented induction of an anesthesia-like state in rats by microinjection of small amounts of GABAA-R agonists into an upper brainstem region named the mesopontine tegmental anesthesia area(MPTA)...
August 16, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28821448/cognitive-impairment-and-gene-expression-alterations-in-a-rodent-model-of-binge-eating-disorder
#10
A Chawla, Z A Cordner, G Boersma, T H Moran
Binge eating disorder (BED) is defined as recurrent, distressing over-consumption of palatable food (PF) in a short time period. Clinical studies suggest that individuals with BED may have impairments in cognitive processes, executive functioning, impulse control, and decision-making, which may play a role in sustaining binge eating behavior. These clinical reports, however, are limited and often conflicting. In this study, we used a limited access rat model of binge-like behavior in order to further explore the effects of binge eating on cognition...
August 15, 2017: Physiology & Behavior
https://www.readbyqxmd.com/read/28821138/biocompatible-chitin-carbon-nanotubes-composite-hydrogels-as-neuronal-growth-substrates
#11
Shuangquan Wu, Bo Duan, Ang Lu, Yanfeng Wang, Qifa Ye, Lina Zhang
In the past decades, extensive studies have demonstrated that carbon nanotubes (CNTs) could promote cell adhesion, proliferation and differentiation of neuronal cells. However, the potential cytotoxicity in biological systems severely restricted the utilization of CNTs as substrates for neural growth. In this study, biocompatible chitin/carbon nanotubes (Ch/CNT) composite hydrogels were developed via blending modified CNTs with chitin solution in 11wt% NaOH/4wt% urea aqueous system, and subsequently regenerating in ethanol...
October 15, 2017: Carbohydrate Polymers
https://www.readbyqxmd.com/read/28820891/scene-text-detection-via-extremal-region-based-double-threshold-convolutional-network-classification
#12
Wei Zhu, Jing Lou, Longtao Chen, Qingyuan Xia, Mingwu Ren
In this paper, we present a robust text detection approach in natural images which is based on region proposal mechanism. A powerful low-level detector named saliency enhanced-MSER extended from the widely-used MSER is proposed by incorporating saliency detection methods, which ensures a high recall rate. Given a natural image, character candidates are extracted from three channels in a perception-based illumination invariant color space by saliency-enhanced MSER algorithm. A discriminative convolutional neural network (CNN) is jointly trained with multi-level information including pixel-level and character-level information as character candidate classifier...
2017: PloS One
https://www.readbyqxmd.com/read/28820744/simulation-of-morphologically-structured-photo-thermal-neural-stimulation
#13
Y Weissler, N Farah, S Shoham
OBJECTIVE: Rational design of next-generation techniques for photo-thermal excitation requires the development of tools capable of modeling the effects of spatially- and temporally-dependent temperature distribution on cellular neuronal structures. APPROACH: We present a new computer simulation tool for predicting the effects of arbitrary spatiotemporally-structured photo-thermal stimulation on 3D, morphologically realistic neurons. The new simulation tool is based on interfacing two generic platforms, NEURON and MATLAB and is therefore suited for capturing different kinds of stimuli and neural models...
August 18, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28820678/a-new-hybrid-model-using-an-autoregressive-integrated-moving-average-and-a-generalized-regression-neural-network-for-the-incidence-of-tuberculosis-in-heng-county-china
#14
Wudi Wei, Junjun Jiang, Lian Gao, Bingyu Liang, Jiegang Huang, Ning Zang, Chuanyi Ning, Yanyan Liao, Jingzhen Lai, Jun Yu, Fengxiang Qin, Hui Chen, Jinming Su, Li Ye, Hao Liang
It is a daunting task to eradicate tuberculosis completely in Heng County due to a large transient population, human immunodeficiency virus/tuberculosis coinfection, and latent infection. Thus, a high-precision forecasting model can be used for the prevention and control of tuberculosis. In this study, four models including a basic autoregressive integrated moving average (ARIMA) model, a traditional ARIMA-generalized regression neural network (GRNN) model, a basic GRNN model, and a new ARIMA-GRNN hybrid model were used to fit and predict the incidence of tuberculosis...
July 31, 2017: American Journal of Tropical Medicine and Hygiene
https://www.readbyqxmd.com/read/28820675/on-the-role-of-situational-stressors-in-the-disruption-of-global-neural-network-stability-during-problem-solving
#15
Mengting Liu, Chad E Forbes, Rachel C Amey
When individuals are placed in stressful situations, they are likely to exhibit deficits in cognitive capacity over and above situational demands. Despite this, individuals may still persevere and ultimately succeed in these situations. Little is known, however, about neural network properties that instantiate success or failure in both neutral and stressful situations, particularly with respect to regions integral for problem-solving processes that are necessary for optimal performance on more complex tasks...
August 18, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28820141/silicon-synaptic-transistor-for-hardware-based-spiking-neural-network-and-neuromorphic-system
#16
Hyungjin Kim, Sungmin Hwang, Jungjin Park, Byung-Gook Park
Brain-inspired neuromorphic systems have attracted much attention as new computing paradigms for power-efficient computation. Here, we report a silicon synaptic transistor with two electrically independent gates to realize a hardware-based neural network system without any switching components. The spike-timing dependent plasticity (STDP) characteristics of the synaptic devices are measured and analyzed. With the help of the device model based on the measured data, the pattern recognition capability of the hardware-based spiking neural network (SNN) systems is demonstrated using the modified national institute of standards and technology (MNIST) handwritten dataset...
August 18, 2017: Nanotechnology
https://www.readbyqxmd.com/read/28819162/inter-brain-network-underlying-turn-based-cooperation-and-competition-a-hyperscanning-study-using-near-infrared-spectroscopy
#17
Tao Liu, Godai Saito, Chenhui Lin, Hirofumi Saito
The present study examined neural substrates underlying turn-based cooperation and competition in a real two-person situation. We simultaneously measured pairs of participants' activations in their bilateral frontal, temporal, and parietal regions using a 96-channel near-infrared spectroscopy (NIRS) system, when participants played a turn-taking disk-game on a computer. NIRS data demonstrated significant inter-brain neural synchronization (INS) across participant pairs' right posterior superior temporal sulcus (pSTS) in both the cooperation and competition conditions, and the competition condition also involved significant INS in the right inferior parietal lobule (IPL)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819132/treatment-associated-changes-of-functional-connectivity-of-midbrain-brainstem-nuclei-in-major-depressive-disorder
#18
Gerd Wagner, Feliberto de la Cruz, Stefanie Köhler, Karl-Jürgen Bär
Previous functional magnetic resonance imaging (fMRI) studies demonstrated an abnormally coordinated network functioning in Major Depression Disorder (MDD) during rest. The main monoamine-producing nuclei within midbrain/brainstem are functionally integrated within these specific networks. Therefore, we aimed to investigate the resting-state functional connectivity (RSFC) of these nuclei in 45 MDD patients and differences between patients receiving two different classes of antidepressant drugs. Patients showed reduced RSFC from the ventral tegmental area (VTA) to dorsal anterior cingulate cortex (dACC) and stronger RSFC to the left amygdala and dorsolateral prefrontal cortex (DLPFC)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28819117/neuronal-encoding-of-self-and-others-head-rotation-in-the-macaque-dorsal-prefrontal-cortex
#19
M Lanzilotto, M Gerbella, V Perciavalle, C Lucchetti
Following gaze is a crucial skill, in primates, for understanding where and at what others are looking, and often requires head rotation. The neural basis underlying head rotation are deemed to overlap with the parieto-frontal attention/gaze-shift network. Here, we show that a set of neurons in monkey's Brodmann area 9/46dr (BA 9/46dr), which is involved in orienting processes and joint attention, becomes active during self head rotation and that the activity of these neurons cannot be accounted for by saccade-related activity (head-rotation neurons)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28818696/cortical-networks-for-reference-frame-processing-are-shared-by-language-and-spatial-navigation-systems
#20
Nikola Vukovic, Yury Shtyrov
To help us live in the three-dimensional world, our brain integrates incoming spatial information into reference frames, which are based either on our own body (egocentric) or independent from it (allocentric). Such frames, however, may be crucial not only when interacting with the visual world, but also in language comprehension, since even the simplest utterance can be understood from different perspectives. While significant progress has been made in elucidating how linguistic factors, such as pronouns, influence reference frame adoption, the neural underpinnings of this ability are largely unknown...
August 14, 2017: NeuroImage
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