Synergistic Effect of Doxorubicin and siRNA-Mediated Silencing of Mcl-1 Using Cationic Niosomes against 3D MCF-7 Spheroids by Supusson Pengnam, Samarwadee Plianwong, Prasopchai Patrojanasophon, Widchaya Radchatawedchakoon, Boon-ek Yingyongnarongkul, Praneet Opanasopit, Purin Charoensuksai

“…Mcl-1 silencing markedly decreased the viability of MCF-7 cells and triggered apoptosis. Moreover, computer modeling suggested that the combination of doxorubicin (Dox) and Mcl-1 siRNA exhibited a synergistic relationship and enabled a dose reduction of each agent at 1.71 and 3.91 folds, respectively, to reach a 90% inhibitory effect when compared to single-agent treatments. …”
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Modeling of the Wind/Disk Outflow from Be Stars II: Formation of the Keplerian Disk by Sergey Bogovalov, Maxim Petrov

“…Computer modeling of the outflow from Be stars is performed. …”
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Data Balance Algorithm Based on Histogram in MapReduce

“…MapReduce model is a typical distributed computing model, which is widely used in large-scale data processing, and its performance depends largely on the data distribution status. …”
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An in-silico analysis of experimental designs to study ventricular function: A focus on the right ventricle. by Mitchel J Colebank, Naomi C Chesler

“…Additional in-silico experiments using multiscale computational models have provided further details into biventricular mechanics and hemodynamic function in the presence of PH, yet few have assessed whether model parameters are practically identifiable prior to data collection. …”
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The use of specialized software for liquid radioactive material spills simulation to teach students and postgraduate students by Oleksandr O. Popov, Yurii O. Kyrylenko, Iryna P. Kameneva, Anna V. Iatsyshyn, Andrii V. Iatsyshyn, Valeriia O. Kovach, Volodymyr O. Artemchuk, Valery N. Bliznyuk, Arnold E. Kiv

“…It is determined that the existing software tools for radiation exposure assessment do not comprehensively cover features of such events and possess number of shortcomings regarding accidents modeling with spillage of radioactive liquids indoors. Computer modeling and forecasting examples for hypothetical event related to liquid radioactive spill in the JRODOS system are presented. …”
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iRG-4mC: Neural Network Based Tool for Identification of DNA 4mC Sites in Rosaceae Genome by Dae Yeong Lim, Mobeen Ur Rehman, Kil To Chong

“…The iRG-4mC predictor outperformed the existing state-of-the-art computational model by an accuracy difference of 9.95% on <i>F. vesca</i> (training dataset), 8.7% on <i>R. chinesis</i> (training dataset), 6.2% on <i>F. vesca</i> (independent dataset) and 10.6% on <i>R. chinesis</i> (independent dataset). …”
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Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systems by Joschka eBoedecker, Thomas eLampe, Martin eRiedmiller

“…In this work, we extend a computational model of the prefrontal and dorsolateral striatal reinforcement learning systems to account for the effects of extrinsic and intrinsic rewards. …”
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CURRENT CONTROL OF Z-SOURCE FOUR-LEG INVERTER FOR AUTONOMOUS PHOTOVOLTAIC SYSTEM BASED ON MODEL PREDICTIVE CONTROL by Mohamed T. Boussabeur, Boualaga Rabhi, Raef Aboelsaud, Аhmed Ibrahim, Djaafar Toumi, Laid Zellouma, Alexander G. Garganeev

“…Methods: mathematical and computer modeling using the MatLab/Simulink software environment. …”
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Echo State Property upon Noisy Driving Input by Junhyuk Woo, Hyeongmo Kim, Soon Ho Kim, Kyungreem Han

“…The echo state property (ESP) is a key concept for understanding the working principle of the most widely used reservoir computing model, the echo state network (ESN). The ESP is achieved most of the operation time under general conditions, yet the property is lost when a combination of driving input signals and intrinsic reservoir dynamics causes unfavorable conditions for forgetting the initial transient state. …”
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Non-Linear Frequency Dependence of Neurovascular Coupling in the Cerebellar Cortex Implies Vasodilation–Vasoconstriction Competition by Giuseppe Gagliano, Anita Monteverdi, Stefano Casali, Umberto Laforenza, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D’Angelo, Lisa Mapelli

“…The corresponding NA was recorded using high-density multi-electrode arrays and correlated to capillary dynamics through a computational model dissecting the main components of granular layer activity. …”
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Numerical Modeling Using Immersed Boundary-Lattice Boltzmann Method and Experiments for Particle Manipulation under Standing Surface Acoustic Waves by Fatima Alshehhi, Waqas Waheed, Abdulla Al-Ali, Eiyad Abu-Nada, Anas Alazzam

“…The steady-state placements obtained in the computational model and experiments exhibit excellent agreement and are reported.…”
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Sustaining the healthcare systems through the conceptual of biomedical engineering: A study with recent and future potentials by Mohd Javaid, Abid Haleem, Ravi Pratap Singh, Rajiv Suman

“…Biomedical engineering offers software for simulation, 3D motion-catching and printing technologies for computer modelling and engineering. The discipline of biomedical engineering is a fast-moving, cross-disciplinary field covering medicine, biology, chemistry, engineering, nanotechnology and informatics. …”
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Research into Dissociation Zones of Gas Hydrate Deposits with a Heterogeneous Structure in the Black Sea by Oleg Bazaluk, Kateryna Sai, Vasyl Lozynskyi, Mykhailo Petlovanyi, Pavlo Saik

“…These data are used for the computer modelling of the dissociation zone in the Surfer-8.0 software package based on the data interpolation method, which uses three methods for calculating the volumes of modelling bodies. …”
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Computational demystification of iron carbonyls formation under syngas environment by El Tayeb Bentria, Prathamesh Mahesh Shenai, Stefano Sanvito, Heesoo Park, Laurent Karim Béland, Nicholas Laycock, Fedwa El Mellouhi

“…In this work, we demystify using multiscale computational modeling the mechanism of Iron pentacarbonyl formation: Density functional theory (DFT) is used to explore various catalytic reactions that involve a Fe adatom reacting with adsorbed carbon monoxide. …”
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Punching shear strength under static and dynamic loads by Trekin Nikolai, Krylov Vladimir, Andrian Konstantin

“…This is due to the lack of computational models in which all the acting internal forces ensuring the resistance of the interface to penetration would be considered comprehensively. …”
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Top-down inputs drive neuronal network rewiring and context-enhanced sensory processing in olfaction. by Wayne Adams, James N Graham, Xuchen Han, Hermann Riecke

“…We developed a biophysically supported computational model for the rewiring of the top-down projections and the intra-bulbar network via adult neurogenesis. …”
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Neural network technology for identifying defect sizes in half-plane based on time and positional scanning by A. N. Solov'ev, A. V. Cherpakov, P. V. Vasil’ev, I. A. Parinov, E. V. Kirillova

“…The authors have developed a technique for restoring the parameters of a defect based on the computational modeling and ANN. Materials and Methods. The problem is solved in the flat setting through the finite element method (FEM). …”
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The Impact of Electrical Energy Consumption on the Payback Period of a Rooftop Grid-Connected Photovoltaic System: A case Study from Vietnam by Xuan Cuong Ngo, Nhu Y Do

“…The main goal of this study is to develop a computational model and investigate the effect of electrical energy consumption on the payback period of rooftop GCPV systems. …”
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Simulation of an emergency situation of a digital architecture object by Agakhanov E.K., Kravchenko G.M., Agakhanov M.K., Trufanova E.V.

“…At the 2nd stage, this element was switched off from work, and a computational model was obtained for simulating an emergency. …”
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A Systematic Approach to the Model Development of Reactors and Reforming Furnaces With Fuzziness and Optimization of Operating Modes by Batyr Orazbayev, Ainur Zhumadillayeva, Madyar Kabibullin, M. James C. Crabbe, Kulman Orazbayeva, Xiaoguang Yue

“…Comparison of the obtained results of computer modeling and optimization with the results of known deterministic models shows the advantages of the proposed approach in the face of scarcity and fuzziness of the initial information. …”
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