Scaling law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions by Shunya Minami, Yoshihiro Hayashi, Stephen Wu, Kenji Fukumizu, Hiroki Sugisawa, Masashi Ishii, Isao Kuwajima, Kazuya Shiratori, Ryo Yoshida

“…Case studies of three prediction tasks for polymers and inorganic materials reveal that the prediction error on real systems decreases according to a power-law as the size of the computational data increases. Observing the scaling behavior offers various insights for database development, such as determining the sample size necessary to achieve a desired performance, identifying equivalent sample sizes for physical and computational experiments, and guiding the design of data production protocols for downstream real-world tasks.…”
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Exploring user usability perceptions and acceptance of chording-enabled keyboards: A perspective between human-computer interaction by Jeryllou Kay O. San Pedro, Ardvin Kester S. Ong, Sean Dominic O. Mendoza, Jann Ryan J. Novela, Ma. Janice J. Gumasing

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Sustainable Preservation of Historical Temples Through Ventilation Airflow Dynamics and Environmental Analysis Using Computational Fluid Dynamics by Mongkol Kaewbumrung, Chalermpol Plengsa-Ard, Wasan Palasai

“…The findings provided critical insights into the temple’s ventilation behavior, revealing strong correlations between turbulence characteristics, wind speed, temperature, and relative humidity. …”
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Artificial Intelligence Applied to Computational Fluid Dynamics and Its Application in Thermal Energy Storage: A Bibliometric Analysis by Edgar F. Rojas Cala, Ramón Béjar, Carles Mateu, Emiliano Borri, Luisa F. Cabeza

“…Computational fluid dynamics became an essential tool for analyzing complex fluid behavior, with applications ranging from aerospace engineering to renewable energy systems. …”
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Integrating Immunotherapy With Targeted Therapy: Evaluating Efficacy in NSCLC Treatment Through Computational Analysis of Gene Regulatory Networks by Pranabesh Bhattacharjee, Aditya Lahiri, Tanmay Sindhwani, Norman Peter Reeves, Aniruddha Datta

“…To address this, we developed a novel Boolean network (BN) model that integrates oncogenic and immunotherapy signaling pathways to evaluate the efficacy of FDA-approved drug combinations in NSCLC. This computational framework simulates the behavior of key cancer-related pathways under single and multiple mutation scenarios, offering a system-level understanding of drug response. …”
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Computational Modeling and Molecular dynamics Simulations of Thiazolino 2-pyridone amide analog compounds as Chlamydia trachomatis inhibitor by Emmanuel Edache, Adamu Uzairu, Paul Mamza, Gideon Shallangwa

“…The QSAR model was able to systematically predict anti-bacterial behavior with an R2pred value of 0.506 for the external data set 9 of the thiazolino 2-pyridone amide derivative. …”
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Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning by Yuri Gordienko, Nikita Gordienko, Vladyslav Taran, Anis Rojbi, Sergii Telenyk, Sergii Telenyk, Sergii Stirenko

“…As far as these results were obtained by the relatively small DNN with the low resource requirements, this approach can be promising for porting such models to Edge Computing infrastructures on devices with the very limited computational resources.…”
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Using multiple computer-predicted structures as molecular replacement models: application to the antiviral mini-protein LCB2 by Svetlana A. Korban, Oleg Mikhailovskii, Vladislav V. Gurzhiy, Ivan S. Podkorytov, Nikolai R. Skrynnikov

“…In this report, we describe a set of structures of the engineered protein LCB2 that has been solved starting from different computer-predicted molecular replacement (MR) models. …”
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Vehicle Fuel Consumption Prediction Method Based on Driving Behavior Data Collected from Smartphones by Ying Yao, Xiaohua Zhao, Chang Liu, Jian Rong, Yunlong Zhang, Zhenning Dong, Yuelong Su

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A Series of Saddle - Node Bifurcation and Chaotic Behavior of a Family of a Semi - Triangular Maps by Salma Faris, Ammar Jameel

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The influence of testing conditions on damage zone of concrete in Uniaxial Compression: Insights from Stereo-DIC and computational modeling by Saeid Mehrpay, Xinyu Hu, Zhongfeng Zhu, Eskinder Desta Shumuye, Roman Wan-Wendner, Miaochang Zhu, Jiehui Wang, Zhenhua Wei, Tamon Ueda

“…Besides computational modeling acquired data aid in understanding stress–strain relationship variations and conducting reliable tests.…”
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Computational simulation and mathematical modelling of thermal performance and energy enhancement of integrated infrared with hot air heated system by Hany S. El-Mesery, Ahmed H. ElMesiry, Oluwasola Abayomi Adelusi, Zicheng Hu, Sara Elhadad

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Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications by Peter Ifeolu Odetola, Bukola Joseph Babalola, Ayodeji Ebenezer Afolabi, Ufoma Silas Anamu, Emmanuel Olorundaisi, Mutombo Christian Umba, Thabang Phahlane, Olusoji Oluremi Ayodele, Peter Apata Olubambi

“…Central to the present discourse is the application of valence electron concentration (VEC) and cutting-edge strategies, including the CALculation of PHAse Diagrams (CALPHAD) method, first-principles approach, and machine-learning algorithms, which collectively empower the prediction and understanding of HEA behavior. Through a novel case study of a septenary equiatomic Ni-Al-Co-Cr-Cu-Mn-Ti HEA, this analysis demonstrates the utility of these computational tools in unveiling the alloy's phase stability and microstructural evolution, reinforcing the synergy between theoretical predictions and experimental validation. …”
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AnimalMotionViz: An interactive software tool for tracking and visualizing animal motion patterns using computer vision by Angelo L. De Castro, Jin Wang, Jessica G. Bonney-King, Gota Morota, Emily K. Miller-Cushon, Haipeng Yu

“…Therefore, we developed an open-source computer vision software tool, AnimalMotionViz, that allows users to track and visualize group-level dairy cattle movement patterns using motion maps. …”
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Computer-assisted discovery of natural inhibitors for platelet-derived growth factor alpha as novel therapeutics for thyroid cancer by Hira Khalid, Farah Sattar, Iqra Ahmad, Valdir Ferreira de Paula Junior, Valdir Ferreira de Paula Junior, Umar Nishan, Umar Nishan, Riaz Ullah, Hanna Dib, Khaled W. Omari, Mohibullah Shah, Mohibullah Shah

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Computational Investigation of Long Free-Span Submarine Pipelines with Buoyancy Modules Using an Automated Python–Abaqus Framework by Ty Phuor, Pavel A. Trapper, Alon Urlainis, Avshalom Ganz

“…This paper introduces an efficient and automated computational framework integrating Python scripting with Abaqus finite element analysis (FEA) to investigate the structural behavior of long free-spanning submarine pipelines equipped with buoyancy modules. …”
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Virtual-Vector-Based Predictive Torque Control for Six-Phase IM With Reduced Computational Burden and Copper Losses by Osvaldo Gonzalez, Jesus Doval-Gandoy, Magno Ayala, Jorge Rodas, Paola Maidana, Christian Medina, Carlos Romero, Larizza Delorme, Raul Gregor, Ricardo Maciel

“…Experimental results confirm reductions of approximately 79.7% in computational burden and 98.4% in copper losses when using PTC-VV compared to classic PTC. …”
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Differential Quadrature Method to Examine the Dynamical Behavior of Soliton Solutions to the Korteweg-de Vries Equation by Shubham Mishra, Geeta Arora, Homan Emadifar, Soubhagya Kumar Sahoo, Afshin Ghanizadeh

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Evaluation of Single-Shot Object Detection Models for Identifying Fanning Behavior in Honeybees at the Hive Entrance by Tomyslav Sledevič

“…Thermoregulatory fanning behavior in honeybees is a vital indicator of colony health and environmental response. …”
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Modeling and Simulation of Abnormal Behavior Detection Through History Trajectory Monitoring in Wireless Sensor Networks by Jung Sub Ahn, Tae Ho Cho

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