Loading regularities of the planetary-lantern transmissions in operation by Evgeniy A. Tchufistov, Oleg E. Tchufistov

“…To determine the elasticity characteristics, the classical contact mechanics of Hertz, as well as the general dependencies of the theory of bending and shear, are applied. Computer modeling is used to obtain quantitative characteristics. …”

Review of Soft Computing Techniques in Monitoring Cardiovascular Disease in the Context of South Asian Countries by Gajendra Singh Thakur, Sunil Kumar Sahu, N. Kumar Swamy, Manish Gupta, Tony Jan, Mukesh Prasad

“…The relevant experimental outcomes demonstrate the benefits of soft computing in medical services with a high accuracy of 99.4% from Fuzzy Logic and Convolutional Neural Networks, with comparable results from other competing state-of-the-art soft computing models.…”
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Blood vessel tortuosity selects against evolution of aggressive tumor cells in confined tissue environments: A modeling approach. by András Szabó, Roeland M H Merks

“…Here we introduce a cell-based computational model to study the effect of blood flow obstruction on the micro-evolution of cells within a cancerous tissue. …”
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An Experimental and Computational Study of the High-Velocity Impact of Low-Density Aluminum Foam by Matej Borovinšek, Matej Vesenjak, Kazuyuki Hokamoto, Zoran Ren

“…A comparison of experimental and computational results during aluminum foam sample impact shows very similar deformation behavior. The computational model correctly represents the real impact conditions of low-density aluminum foam and can be recommended for use in similar high-velocity impact investigations.…”
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Quasi 3D Nacelle Design to Simulate Crosswind Flows: Merits and Challenges by Alex Yeung, Nagabhushana Rao Vadlamani, Tom Hynes, Sumit Sarvankar

“…This paper studies the computational modelling of the flow separation over the engine nacelle lips under the off-design condition of significant crosswind. …”
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Learning to Calibrate Battery Models in Real-Time with Deep Reinforcement Learning by Ajaykumar Unagar, Yuan Tian, Manuel Arias Chao, Olga Fink

“…However, the degradation of batteries increases the reality gap between the computational models and the physical systems and leads to inaccurate predictions of EOD/EOL. …”
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Evaluation of the drone-human collision consequences by Z. Svatý, L. Nouzovský, T. Mičunek, M. Frydrýn

“…This contribution presents the currently discussed and proposed human safety criteria for the UAS, evaluates the available data from the collision dynamic tests and computer modelling and provides the possibility to compare and evaluate these criteria on a validated set of data. …”
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Interneuron-specific gamma synchronization indexes cue uncertainty and prediction errors in lateral prefrontal and anterior cingulate cortex by Kianoush Banaie Boroujeni, Paul Tiesinga, Thilo Womelsdorf

“…In LPFC, this interneuron subclass activated when the uncertainty of attention cues was resolved during flexible learning, whereas in ACC it fired and gamma-synchronized when outcomes were uncertain and prediction errors were high during learning. Computational modeling of this interneuron-specific gamma band activity in simple circuit motifs suggests it could reflect a soft winner-take-all gating of information having high degree of uncertainty. …”
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Simulation of the Initial Stability of the Floating Dock for the List and Trim Stabilization Tasks by Kondratenko Y.P., Topalov А.M., Kozlov O.V.

“…With the help of this computational model, the operation of immersion of the floating dock is considered. …”
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Computational and Pharmacological Studies on the Antioxidant, Thrombolytic, Anti-Inflammatory, and Analgesic Activity of <i>Molineria capitulata</i> by Mohammad Ashiqur Rahman Bhuiyan Shovo, Marzia Rahman Tona, Jannatul Mouah, Fayza Islam, Md. Helal Uddin Chowdhury, Tuhin Das, Arkajyoti Paul, Duygu Ağagündüz, Md. Masudur Rahman, Talha Bin Emran, Raffaele Capasso, Jesus Simal-Gandara

“…The present study was designed to examine the antioxidant, cytotoxic, thrombolytic, anti-inflammatory, and analgesic activities of a methanolic extract of <i>M. capitulata</i> leaves (MEMC) using both experimental and computational models. Previously established protocols were used to perform qualitative and quantitative phytochemical screening in MEMC. …”
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Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach by Lilin Cheng, Haixiang Zang, Tao Ding, Rong Sun, Miaomiao Wang, Zhinong Wei, Guoqiang Sun

“…We compare it with other soft computing models. The results indicate the feasibility and superiority of the proposed model in both point and probabilistic wind speed forecasting.…”
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Numerical Approach Based on Solving 3D Navier–Stokes Equations for Simulation of the Marine Propeller Flow Problems by Andrey Kozelkov, Vadim Kurulin, Andrey Kurkin, Andrey Taranov, Kseniya Plygunova, Olga Krutyakova, Aleksey Korotkov

“…This approach includes a computational model based on the Navier–Stokes equation system and written with respect to the physical process: the turbulent nature of flow with transient points is accounted using the Reynolds Averaged Navier–Stokes method and the k–ω SST model of turbulence by Menter along with the γ–Re_θ (Gamma Re Theta) laminar-turbulent transition model; the Volume of Fluid method supplemented with the Schnerr–Sauer cavitation model is used to simulate the cavitation processes; a rotating propeller is simulated by a moving computational mesh and the GGI method to provide conformity of the solutions on adjacent boundaries of arbitrarily-shaped unstructured meshes of the two domains. …”
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Delta Variant with P681R Critical Mutation Revealed by Ultra-Large Atomic-Scale Ab Initio Simulation: Implications for the Fundamentals of Biomolecular Interactions by Puja Adhikari, Bahaa Jawad, Praveen Rao, Rudolf Podgornik, Wai-Yim Ching

“…Here, using ultra large-scale ab initio computational modeling, we study the P681R and D614G mutations in the SD2-FP domain, including the effect of double mutation, and compare the results with the wild type. …”
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Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Stream... by José Galindo, Roberto Navarro, Francisco Moya, Andrea Conchado

“…In engineering problems, design space approximation using accurate computational models may require conducting a simulation for each explored working point, which is often not feasible in computational terms. …”
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Relational Topology-based Heterogeneous Network Embedding for Predicting Drug-Target Interactions by Linlin Zhang, Chunping Ouyang, Fuyu Hu, Yongbin Liu, Zheng Gao

“…Therefore, various computational models have been proposed to predict possible interactions between drugs and target proteins. …”
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Review of the Digital Twin Technology Applications for Electrical Equipment Lifecycle Management by Alexandra I. Khalyasmaa, Alina I. Stepanova, Stanislav A. Eroshenko, Pavel V. Matrenin

“…The latter task contours one of the most promising areas for the application of the digital twins in the power industry since it requires deep analysis of the technological processes dynamics and the development of physical, mathematical and computer models that cover all the potential benefits of the digital twin technology. …”
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An Appraisal of Incremental Learning Methods by Yong Luo, Liancheng Yin, Wenchao Bai, Keming Mao

“…More attention should be paid to the exploration of both biological systems and computational models.…”
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Estimation of Individual Exposure to Erythemal Weighted UVR by Multi-Sensor Measurements and Integral Calculation by Wenwen Cheng, Robert Brown, David Vernez, Daniel Goldberg

“…Currently, there are limitations to the ways computer modeling and field measurements estimate individual UVR exposure in a given landscape. …”
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Implementation of the characteristic equation method in quasi-dynamic simulation of absorption chillers: Modeling, validation and first results by S.C.S. Alcântara, A.A.S. Lima, A.A.V. Ochoa, G. de N. P. Leite, J.Â.P. da Costa, C.A.C. dos Santos, E.J.C. Cavalcanti, P.S.A. Michima

“…The mathematical model was developed using the first law of thermodynamics through the conservation of mass and energy and the integration of the characteristic equation method, considering external parameters such as temperatures and flow rates of hot, cold, and chilled water circuits as the global heat transfer coefficients. The computational model was built using the F-Chart EES® software, the initial part, to facilitate the resolution of the equations (characteristic equation method). …”
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Multi-level Inheritance Influence Calculation and Generalization Based on Knowledge Graph by KONG Shi-ming, FENG Yong, ZHANG Jia-yun

“…Influence calculation and analysis are widely used in social networks,web page importance evaluation and other fields.There is still a lack of effective and universal solution for the multi-level influence calculation with inheritance chain and time span factors.At the same time,the calculation of maximizing the propagation influence is an NP hard problem,whose approximate algorithm has low accuracy and complicated computation.In order to solve the above problems,this paper proposes a multi-level inheritance influence and generalization algorithm based on knowledge graph to realize the calculation of inheritance influence and inheritance relationship.The algorithm uses the breadth first search hierarchy computing model of knowledge graph,and takes into account the time span constraints to calculate the inheritance influence and inheritance chain.In order to optimize the computational efficiency,the strategy of depth first search and different levels with different weights is further used to only calculate the influence of the top <i>n</i> levels.The above method can not only calculate the inheritance influence and inheritance chain well,but also can be generalized into various communication influence calculation models.On this basis,this paper proposes a local optimal search similarity algorithm to maximize the propagation influence by selecting the nodes with large propagation influence as spare nodes.It achieves competitive results in running speed and the maximum number of propagation nodes.Finally,the effectiveness of the proposed method is verified by a variety of simulation experiments.…”
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