A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities by Niloofar Kazemiasl, Hooman Motamed, Mohsen Fazlavi

“…Strategies for budget allocation were formulated based on insights from interviews, historical case studies, and computational modeling. Results Scenarios ranging from optimistic to pessimistic were analyzed to assess their impact on reconstruction timelines. …”
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Agent Based Simulation of Group Emotions Evolution and Strategy Intervention in Extreme Events by Bo Li, Duoyong Sun, Shuquan Guo, Zihan Lin

“…Agent based simulation method has become a prominent approach in computational modeling and analysis of public emergency management in social science research. …”
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Limitation of switching sensory information flow in flexible perceptual decision making by Tianlin Luo, Mengya Xu, Zhihao Zheng, Gouki Okazawa

“…Psychophysical reverse correlation and computational modeling reveal a reduction in sensory weighting, which recovers within a few hundred milliseconds after stimulus presentation. …”
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Application of the New Mapping Method to Complex Three Coupled Maccari’s System Possessing M-Fractional Derivative by Jan Martinovic, Aziz Ur Rehman, Muhammad Bilal Riaz

“…Our study establishes a connection between computer science and soliton physics, emphasizing the pivotal role of soliton phenomena in advancing simulations and computational modeling. Analytical solutions are subsequently generated through the application of the new mapping method. …”
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Proximal Femoral Morphology and the Relevance to Design of Anatomically Precontoured Plates: A Study of the Chinese Population by Kun-Jhih Lin, Hung-Wen Wei, Kang-Ping Lin, Cheng-Lun Tsai, Pei-Yuan Lee

“…Anthropometric data on the proximal femur were performed utilizing three-dimensional computational modeling. Computed tomography images of healthy femurs in 53 women and 47 men were contributed to three-dimensional femur modeling. …”
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A two-patch prey-predator model with predator dispersal driven by the predation strength by Yun Kang, Sourav Kumar Sasmal, Komi Messan

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Insilico targeting of virus entry facilitator NRP1 to block SARS-CoV2 entry. by Nousheen Bibi, Maleeha Shah, Shahzad Khan, Muhammad Shahzad Chohan, Mohammad Amjad Kamal

“…MM/GBSA calculations indicated that both AZD3839 and LY2090314 exhibited strong and stable binding to the b1 domain of NRP1. Computational modeling of the interaction between the b1 domain of NRP1 and the receptor-binding domain of the spike protein suggested that AZD3839 and LY2090314 could effectively hinder the NRP1-spike interaction. …”
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Directed Evolution of Microbial Communities in Fermented Foods: Strategies, Mechanisms, and Challenges by Zihan Yao, Ting Xie, Hongjie Deng, Shuzhi Xiao, Tao Yang

“…Looking ahead, the integration of advanced omics technologies and computational modeling is anticipated to significantly enhance the predictability and control of microbial community evolution in food fermentation processes. …”
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Entropy framework of the bioconvective Williamson nanofluid flow over a Riga plate with radiation, triple stratification and swimming microorganisms by K. Loganathan, N. Thamaraikannan, S. Eswaramoorthi, Reema Jain

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Modern approaches to artificial gene synthesis: aspects of oligonucleotide synthesis, enzymatic assembly, sequence verification and error correction by G. Y. Shevelev, D. V. Pyshnyi

“…Synthetic biology accumulates the achievements of modern biological sciences, programming and computational model­ing as well as engineering technologies for creation of biologi­cal objects with user-defined properties. …”
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Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data by Kaushik Manikonda, Chinemerem Obi, Aarya Abhay Brahmane, Mohammad Azizur Rahman, Abu Rashid Hasan

“…Designed to support research in fluid dynamics, machine vision, and computational modeling, the dataset offers valuable resources for developing machine vision models for accurate regime detection and differentiation, enhancing the fidelity of computational fluid dynamics simulations, and facilitating the estimation of critical flow parameters. …”
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Devaluing memories of reward: a case for dopamine by Benjamin R. Fry, Nicolette Russell, Victoria Fex, Bing Mo, Nathan Pence, Joseph A. Beatty, Fredric P. Manfredsson, Brandon A. Toth, Christian R. Burgess, Samuel Gershman, Alexander W. Johnson

“…Consistent with our computational modeling data, our findings indicate a critical role for dopamine in encoding predictive representations of the sensory features of reinforcement. …”
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Hydrogel-based nanoparticles: revolutionizing brain tumor treatment and paving the way for future innovations by Alireza Shadab, Simin Farokhi, Arshia Fakouri, Neda Mohagheghzadeh, Ali Noroozi, Zahra Sadat Razavi, Arian Karimi Rouzbahani, Hamidreza Zalpoor, Mohamad Mahjoor

“…This includes investigating tailored hydrogels, hybrid systems, computational modeling, and the integration of gene therapy and immunotherapy techniques. …”
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Rational engineering of minimally immunogenic nucleases for gene therapy by Rumya Raghavan, Mirco J. Friedrich, Indigo King, Samuel Chau-Duy-Tam Vo, Daniel Strebinger, Blake Lash, Michael Kilian, Michael Platten, Rhiannon K. Macrae, Yifan Song, Lucas Nivon, Feng Zhang

“…Through MHC-associated peptide proteomics (MAPPs) analysis, we identify putative immunogenic epitopes on each nuclease. Using computational modeling, we rationally design these proteins to evade the immune response. …”
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Dissociating social reward learning and behavior in alcohol use disorder by Simon Jangard, Björn Lindström, Lotfi Khemiri, Nitya Jayaram-Lindström, Andreas Olsson

“…Individual differences in learning were not associated with reduced social behavior in AUD. Computational modeling suggested that the learning mechanisms are comparable in AUD and healthy controls and indifferent to whether learning maximizes reward for another person or oneself. …”
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Effects of position of semi-circular body on melting of a novel B4C/RT44HC PCM nanocomposite in a closed space by Ezgi Gurgenc, Muhammed Gur, Hakan Cosanay, Turan Gurgenc, Hakan F. Oztop

“…Through detailed computational modeling using the finite volume method and experimental validation, the research reveals that incorporating B4C nanoparticles significantly improves thermal performance, achieving up to a 69.65 % increase in thermal conductivity and a 19.68 % enhancement in energy storage capacity compared to pure PCM. …”
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Time-Efficient Contact Consistent Whole-Body Control Framework via Reduced-Dimension Dynamics Construction by Junewhee Ahn, Jaesug Jung, Hokyun Lee, Jaeheung Park

“…The unconstrained chain is reduced using centroidal dynamics, enabling efficient computational modeling in the operational space. By applying the reduced-dimension dynamics to operational space whole-body control, the computational burden caused by the high degrees of freedom in the whole-body dynamics is reduced, leading to shorter computation times. …”
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Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations. by Juliana Chase, Liyu Xia, Lung-Hao Tai, Wan Chen Lin, Anne G E Collins, Linda Wilbrecht

“…Using logistic regression and computational models to analyze the first 200 trials per odor, we determined that mice used both incremental RL and stimulus-insensitive, one-back strategies to solve the task. …”
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MINERALOGY AND GENESIS OF ULTRAMAFIC ROCKS FROM THE KURTUSHIBA OPHIOLITE BELT (WESTERN SAYAN) by V.A. Simonov, A.I. Chernyshov, A.V. Kotlyarov

“…The study of melt inclusions revealed the evolution of melts (picrites – picrobasalts – basalts – basaltic andesites) during the consecutive crystallization of minerals from the Western Sayan ophiolites. Computational modeling based on the compositions of melt inclusions and olivine indicates that olivine of ultramafic rocks of the Kurtushiba ophiolites crystallized at a decreasing pressure from 9.2 to 6.2 kbar and a decreasing temperature from 1550 to 1430 °С from picritic melts, which evolved to picrobasaltic melts. …”
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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

“…The results highlight the synergistic effects of pressure and trace metals in enhancing gas–liquid mass transfer and enzymatic pathways, demonstrating the potential of computational modeling and experimental validation to optimize biological methanation systems, contributing to sustainable methane production.…”
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