Disruption of Network Synchrony and Cognitive Dysfunction After Traumatic Brain Injury by John A Wolf, John A Wolf, Paul F. Koch

“…This requires the tools of systems neuroscience, including electrophysiological analysis of ensemble neuronal activity and circuitry changes in awake animals after TBI, as well as computational modeling of the effects of TBI on these networks. …”
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A learning-based method to predict LncRNA-disease associations by combining CNN and ELM by Zhen-Hao Guo, Zhan-Heng Chen, Zhu-Hong You, Yan-Bin Wang, Hai-Cheng Yi, Mei-Neng Wang

“…It is imperative to construct reliable and efficient computational models as addition for practice. Deep learning technologies have been proved to make impressive contributions in many areas, but the feasibility of it in bioinformatics has not been adequately verified. …”
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Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective by Giles eStory, Giles eStory, Ivo eVlaev, Ben eSeymour, Ara eDarzi, Ray eDolan

“…We propose that the burgeoning development of computational models of these processes will permit further identification of health decision-making phenotypes.…”
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Experimental and biophysical modeling of transcription and translation dynamics in bacterial- and mammalian-based cell-free expression systems by Yuwen Zhao, Shue Wang

“…Current modeling approaches mainly focus on the characterization of E. coli-based CFE systems, a computational model that can be utilized for both bacterial- and mammalian-based CFE has not been investigated. …”
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In Silico Therapeutic Study: The Next Frontier in the Fight against SARS-CoV-2 and Its Variants by Calvin R. Wei, Zarrin Basharat, Godwin C. Lang’at

“…Nonetheless, diverse computational models exist that offer an opportunity for the swift development of new drugs or the repurposing of old drugs. …”
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Numerical analysis of dengue transmission model using Caputo–Fabrizio fractional derivative by Alshehry Azzh Saad, Yasmin Humaira, Khammash Ahmed A., Shah Rasool

“…The semi-analytical results are then investigated using iterative techniques such as Laplace-Adomian decomposition method. Computational models are utilized to support analytical experiments and enhance the credibility of the results. …”
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Electrophysiological and computational analysis of Cav3.2 channel variants associated with familial trigeminal neuralgia by Emilio R. Mustafá, Eder Gambeta, Robin N. Stringer, Ivana A. Souza, Gerald W. Zamponi, Norbert Weiss

“…Simulation of neuronal electrical membrane potential using a computational model of reticular thalamic neuron suggests that TN-associated Cav3.2 variants could enhance neuronal excitability. …”
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Task Offloading Strategy for Unmanned Aerial Vehicle Power Inspection Based on Deep Reinforcement Learning by Wei Zhuang, Fanan Xing, Yuhang Lu

“…Secondly, we established a computational model concerning energy consumption and task processing latency in the UAV power inspection system, enhancing our understanding of the trade-offs involved in UAV offloading strategies. …”
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In defense of local descriptor-based few-shot object detection by Shichao Zhou, Haoyan Li, Zhuowei Wang, Zekai Zhang

“…State-of-the-art image object detection computational models require an intensive parameter fine-tuning stage (using deep convolution network, etc). with tens or hundreds of training examples. …”
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Nrf2 Modulates the Hybrid Epithelial/Mesenchymal Phenotype and Notch Signaling During Collective Cancer Migration by Samuel A. Vilchez Mercedes, Federico Bocci, Mona Ahmed, Ian Eder, Ninghao Zhu, Herbert Levine, José N. Onuchic, José N. Onuchic, Mohit Kumar Jolly, Pak Kin Wong, Pak Kin Wong

“…Here, using a combination of immunocytochemistry, single cell biosensors, and computational modeling, we show that Nrf2 functions as a phenotypic stability factor for hybrid E/M cells by inhibiting a complete epithelial-mesenchymal transition (EMT) during collective cancer migration. …”
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HybridGCN for protein solubility prediction with adaptive weighting of multiple features by Long Chen, Rining Wu, Feixiang Zhou, Huifeng Zhang, Jian K. Liu

“…Addressing the imperative to enhance production efficiency and curtail experimental costs, the demand arises for computational models adept at accurately predicting solubility based on provided datasets. …”
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Improving the quality of electricity supply systems in stationary objects of railway transport by A. V. Kryukov, I. A. Lyubchenko

“…On the basis of computer modeling, it is shown that the use of suction transformers with a return wire and 25 kV lines with a grounded phase makes it possible to improve the quality of the electric power industry in the power supply systems of stationary objects of railway transport.…”
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Model predictive control of an electrically-heated steam methane reformer by Berkay Çıtmacı, Xiaodong Cui, Fahim Abdullah, Derek Richard, Dominic Peters, Yifei Wang, Esther Hsu, Parth Chheda, Carlos G. Morales-Guio, Panagiotis D. Christofides

“…The overall dynamic process model is then used in a computational model predictive control (MPC) scheme to drive the process to a new H2 production set-point under unperturbed and steam flowrate disturbance cases. …”
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Myogenic and cortical evoked potentials vary as a function of stimulus pulse geometry delivered in the subthalamic nucleus of Parkinson’s disease patients by Brett A. Campbell, Brett A. Campbell, Leonardo Favi Bocca, Jakov Tiefenbach, Olivia Hogue, Sean J. Nagel, Sean J. Nagel, Richard Rammo, Richard Rammo, David Escobar Sanabria, David Escobar Sanabria, Andre G. Machado, Andre G. Machado, Andre G. Machado, Kenneth B. Baker, Kenneth B. Baker

“…Such effects are most often attributed to electrical current spread beyond the target region. Prior computational modeling studies have suggested that changing the degree of asymmetry of the individual phases of the biphasic, stimulus pulse may allow for more selective activation of neural elements in the target region. …”
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Patterns of cell division, cell differentiation and cell elongation in epidermis and cortex of Arabidopsis pedicels in the wild type and in erecta. by Mark G R Bundy, Olivia A Thompson, Matthew T Sieger, Elena D Shpak

“…To understand the regulation and coordination of these processes, we studied the temporal behavior of epidermal and cortex cells in Arabidopsis pedicels and used computational modeling to analyze cell behavior in tissues. …”
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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
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Visible fluorescence of biological fluids as a renal failure marker: New integrative approach by Artur I. Kuznetsov, Aleksander Frorip, Jekaterina Kozlova, Vitali Nagirnyi, Mai Ots-Rosenberg, Ivo Romet, Alar Sünter

“…Six kinds of nitrogen-free particles (412 ≤ M ≤ 456 Da) were observed in each substance and possible computer models of those have been composed. It is established that along with nitrogen-containing advanced glycation end products (AGEs) also nitrogen-free carbon–oxygen–hydrogen particles (probably toxic) with the composition and structure related to GO can exist in biofluids. …”
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Research on en route capacity evaluation model based on aircraft trajectory data by Jie Ren, Shiru Qu, Lili Wang, Yu Wang, Tingting Lu, Lijing Ma

“…The proposed model envisages three innovations: (ⅰ) the definition of airspace accessible capacity with reference to capacity of road traffic, (ⅱ) the computation model for flux-based airspace accessible capacity and en route accessible capacity, and (ⅲ) two indicators of en route characteristics named instantaneous density and spatial flow are introduced for evaluating the micro-state of the en route. …”
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Ground Slope Stability Analysis by Gandelsman Igor

“…The geometric scheme of the computational model was built on transverse profiles. The width of the calculated area was chosen in such a way that there were no changes in the stress-strain state of the array due to the introduction of artificial boundary conditions along the edges of the finite element grid. …”
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A Bayesian model for chronic pain by Anna-Lena Eckert, Kathrin Pabst, Dominik M. Endres

“…Chronic pain emerges when prior beliefs and likelihoods are biased towards inferring pain from a wide range of sensory data that would otherwise be perceived as harmless. We present a computational model of interoceptive inference and pain experience. …”
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