Applying collective motion models to study discordant individual behaviours within a school of fish by Andrea Trucco

“…Computational models of collective motion successfully reproduce the most common behaviours of a school of fish, using only a few elementary interactions between individuals. …”
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CFD Modeling of Hydrocyclones—A Study of Efficiency of Hydrodynamic Reservoirs by Marvin Durango-Cogollo, Jose Garcia-Bravo, Brittany Newell, Andres Gonzalez-Mancera

“…In this paper, a computational model to improve and evaluate hydrocyclone performance is proposed. …”
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Intracardiac Inverse Potential Mapping Using the Method of Fundamental Solutions by Shu Meng, Nicholas Sunderland, Nicholas Sunderland, Judit Chamorro-Servent, Laura R. Bear, Laura R. Bear, Laura R. Bear, Nigel A. Lever, Nigel A. Lever, Nigel A. Lever, Gregory B. Sands, Ian J. LeGrice, Ian J. LeGrice, Anne M. Gillis, Jichao Zhao, David M. Budgett, Bruce H. Smaill

“…Ground-truth surface potentials were derived from high-density clinical contact mapping data and computer models.Results: Solutions of the intracardiac potential inverse problem with the MFS are robust, fast and accurate. …”
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On the Hypolipidemic Activity of Elicited Soybeans: Evidences Based on Computational Analysis by Feri Eko Hermanto, Warsito Warsito, Muhaimin Rifa'i, Nashi Widodo

“…This study will explore the potential mechanism of hypolipidemic activity of bioactive compounds from elicited soybean through computational modeling. The phytocompounds from elicited soybean were identified by Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS), then screened for potential toxicity and drug-likeness properties. …”
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Modeling Focused-Ultrasound Response for Non-Invasive Treatment Using Machine Learning by Tariq Mohammad Arif, Zhiming Ji, Md Adilur Rahim, Bharath Babu Nunna

“…However, they are computationally expensive, which is one of the underlying issues of most computational models. Typically, evaluations using these models require a significant amount of time (hours to days) if realistic scenarios such as tissue inhomogeneity or non-linearity are considered. …”
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A general exposome factor explains individual differences in functional brain network topography and cognition in youth by Arielle S. Keller, Tyler M. Moore, Audrey Luo, Elina Visoki, Mārtiņš M. Gataviņš, Alisha Shetty, Zaixu Cui, Yong Fan, Eric Feczko, Audrey Houghton, Hongming Li, Allyson P. Mackey, Oscar Miranda-Dominguez, Adam Pines, Russell T. Shinohara, Kevin Y. Sun, Damien A. Fair, Theodore D. Satterthwaite, Ran Barzilay

“…We apply data-driven computational models to measure the exposome and define personalized functional brain networks in pre-registered analyses. …”
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Computational Parallel on Simulation of Wave Attenuation by Mangrove Forest by Putu Harry Gunawan, Irma Palupi, Nurul Ikhsan, Iryanto Iryanto, Naila Al Mahmuda

“…Our study examines mangroves' wave-attenuating effects and introduces a parallel computational model using OpenMP to expedite computations. …”
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ECG Measurement Uncertainty Based on Monte Carlo Approach: An Effective Analysis for a Successful Cardiac Health Monitoring System by Jackson Henrique Braga da Silva, Paulo Cesar Cortez, Senthil K. Jagatheesaperumal, Victor Hugo C. de Albuquerque

“…For this simulation, the ECG computational model was categorized into two modules: the preamplifier and the final stage. …”
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epSFEM: A Julia-Based Software Package of Parallel Incremental Smoothed Finite Element Method (S-FEM) for Elastic-Plastic Problems by Meijun Zhou, Jiayu Qin, Zenan Huo, Fabio Giampaolo, Gang Mei

“…The benchmark results indicate that (1) the calculation accuracy of epSFEM is higher than that of the FEM when employing the same mesh model; (2) the commercial FEM software requires 10,619 s to calculate an elastoplastic model consisting of approximately 2.45 million triangular elements, while in comparison, epSFEM requires only 5876.3 s for the same computational model; and (3) epSFEM executed in parallel on a 24-core CPU is approximately 10.6 times faster than the corresponding serial version.…”
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Differential roles of sleep spindles and sleep slow oscillations in memory consolidation. by Yina Wei, Giri P Krishnan, Maxim Komarov, Maxim Bazhenov

“…In this study, using a realistic computational model of the thalamocortical network, we tested the role of Non-Rapid Eye Movement (NREM) sleep in memory consolidation. …”
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Application of Discrete Element Method Coupled with Computational Fluid Dynamics to Predict the Erosive Wear Behavior of Arctic Vessel Hulls Subjected to Ice Impacts by Sung-Je Lee, Jang Hyun Lee

“…At first, the wear was evaluated for cases in which only the surface paint of the hull was damaged. Thereafter, a computation model considering the shape change of the hull surface experiencing long-term friction of ice particles was introduced. …”
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Red Light Resets the Expression Pattern, Phase, and Period of the Circadian Clock in Plants: A Computational Approach by Ting Huang, Yao Shui, Yue Wu, Xilin Hou, Xiong You

“…In order to investigate the effect of red light on circadian clocks in plants, a novel computational model was established. The expression profiles of the circadian element <i>CCA1</i> from previous related studies were used to fit the model. …”
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CleanSeq: A Pipeline for Contamination Detection, Cleanup, and Mutation Verifications from Microbial Genome Sequencing Data by Caiyan Wang, Yang Xia, Yunfei Liu, Chen Kang, Nan Lu, Di Tian, Hui Lu, Fuhai Han, Jian Xu, Tetsuya Yomo

“…The efficiency and results from existing pipelines fluctuate since distinctive computational models and parameters are applied. It is then promising to develop a bioinformatical tool containing functions to discriminate and remove contaminated reads and improve variant calling from clean reads. …”
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Development of an experimental plant and a numerical model of an axial magnetic rotor suspension by M. A. Benedyuk, A. O. Lomachev, R. R. Badykov, K. V. Bezborodova, A. A. Yurtaev

“…This article presents the results of the work on the creation of an experimental plant, its testing, as well as the development of a computational model of a rotor magnetic suspension with the use of axial electromagnets. …”
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Bioinformatic Modeling (In Silico) of Obtaining Bioactive Peptides from the Protein Matrix of Various Types of Milk Whey by Aleksandr G. Kruchinin, Ekaterina I. Bolshakova, Irina A. Barkovskaya

“…Whey proteins have a great potential to release a wide range of bioactive peptides (BAP), capable of reducing the risk of a number of chronic food-related diseases. Computer modeling of an enzymatic hydrolysis of proteins is one of the ways to increase the efficiency of BAP release studies and to reduce the number of labor consuming experiments. …”
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Decomposition Is All You Need: Single-Objective to Multi-Objective Optimization towards Artificial General Intelligence by Wendi Xu, Xianpeng Wang, Qingxin Guo, Xiangman Song, Ren Zhao, Guodong Zhao, Dakuo He, Te Xu, Ming Zhang, Yang Yang

“…As a new abstract computational model in evolutionary transfer optimization (ETO), single-objective to multi-objective optimization (SMO) is conducted at the macroscopic level rather than the intermediate level for specific algorithms or the microscopic level for specific operators; this method aims to develop systems with a profound grasp of evolutionary dynamic and learning mechanism similar to human intelligence via a “decomposition” style (in the abstract of the well-known “Transformer” article “Attention is All You Need”, they use “attention” instead). …”
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Mechanistic analysis of loess landslide reactivation in northern Shaanxi based on coupled numerical modeling of hydrological processes and stress strain evolution: A case study of... by Kang WANG, Junbin CHANG, Xiaoke LI, Wenfeng ZHU, Xiao LU, Hui LIU

“…Therefore, based on the actual engineering geological disaster scenarios, supported by on-site monitoring data and terrain physical parameters, a geometric computational model is established, and hydraulic coupled numerical simulations are conducted. …”
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Dynamic Mode Decomposition of Fluorescence Loss in Photobleaching Microscopy Data for Model-Free Analysis of Protein Transport and Aggregation in Living Cells by Daniel Wüstner

“…While the acquisition of FLIP images is straightforward on most commercial confocal microscope systems, the analysis and computational modeling of such data is challenging. Here, a novel model-free method is presented, which resolves complex spatiotemporal fluorescence-loss kinetics based on dynamic-mode decomposition (DMD) of FLIP live-cell image sequences. …”
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Acoustic Emission and K-S Metric Entropy as Methods to Analyze the Influence of Gamma-Aluminum Oxide Nanopowder on the Destruction Process of GFRP Composite Materials by Katarzyna Panasiuk, Krzysztof Dudzik, Grzegorz Hajdukiewicz, Norbert Abramczyk

“…Due to the fact that these materials are often used for important structures, computational models using FEM tools may not be sufficient to determine the actual strength parameters, and what is more, to check them during operation. …”
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A Fuzzy Logic Concept for Predicting the Seasonal Thermal Performance of Building Envelopes Based on Structural and Geographical Parameters by Jan Kočí, Jiří Maděra, Yulia Khmurovska, Petr Štemberk, Robert Černý

“…For this purpose, a sample knowledge base was created using a validated computational model of the heat and moisture transport in the multilayered wall assemblies. …”
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