Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization by Ehsan Saghapour, Ehsan Saghapour, Rahul Sharma, Delower Hossain, Delower Hossain, Kevin Song, Kevin Song, Zhandos Sembay, Zhandos Sembay, Jake Y. Chen, Jake Y. Chen

“…This method significantly enhances the interpretability of complex biological datasets, thereby supporting informed decision-making in biological research and therapeutic development.…”
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Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study by Jung Sun Kim, Sak Lee, Jeong Yee, Kyemyung Park, Eun Jeong Jang, Byung Chul Chang, Hye Sun Gwak

“…GWAS was performed to identify associations between genotypes and the warfarin maintenance dose, by comparing the allele frequency of genetic variants between individuals. …”
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Applicability Analysis of Log Calculation Method for Organic Matter Maturity of Changning Shale Gas Reservoir in Southern Sichuan Basin by QIU Dingguo, YAN Jianping, GUO Wei, LIAO Maojie, QIU Xiaoxue, HUANG Yi

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An early warning system based on machine learning detects huge forest loss in Ukraine during the war by Roberto Cazzolla Gatti, Rocìo Beatriz Cortès Lobos, Michele Torresani, Duccio Rocchini

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Study on the pore structure evolution and microscopic seepage characteristics of coal under high pressure air blasting by Shaoyang Yan, Fuqiang Gao, Xiaolin Yang, Huaibao Chu, Bo Sun, Chang Wang

“…The vessel axial skeleton algorithm in Avizo software was adopted to extract the connectivity channels between connected pores and fissures, which realizes the 3D visualization of coalbed methane seepage in the spatial topology structure at the microscopic scale. …”
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Shared blood gene signature in lung adenocarcinoma and microbial lung infections: a bioinformatic analysis and in silico validation by Milad Sheervalilou, Mostafa Ghanei, Masoud Arabfard

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Dual-Frequency Multi-Constellation Global Navigation Satellite System/Inertial Measurements Unit Tight Hybridization for Urban Air Mobility Applications by Gianluca Corraro, Federico Corraro, Andrea Flora, Giovanni Cuciniello, Luca Garbarino, Roberto Senatore

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Tablets Development Based on Clover Meadow Grass Phytosubstance Using Design of the Experiment Method and QdD Tools by A. N. Golubev, Th. I. Nguen, V. V. Sorokin, I. E. Kauhova

“…The tablets quality indicators corresponding to the selected composition were calculated, and the adequacy of the obtained model was evaluated by comparing calculated and real indicators. It is shown that the calculation error does not exceed 10 %, and the proposed optimization algorithm and the model derived from it can be successfully used to optimize the composition of tablets.…”
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Market and cadastral data comparison for the real estate market value forecasting by M. B. Laskin, P. A. Cherkesova

“…The aim of the research is to develop theoretical and methodological approaches to market value forecasting in the real estate market. …”
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Efficient Resource Allocation and UAV Deployment in STAR-RIS and UAV-Relay Assisted Public Safety Networks for Video Transmission by Naveed Khan, Ayaz Ahmad, Abdulmalik Alwarafy, Munam Ali Shah, Abderrahmane Lakas, Muhammad Moazam Azeem

“…The primary aim of our suggested research is to augment the average video streaming utility(AVSU) of the AUGs efficiently. …”
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Effectiveness of Timely Isolation of Patients with Respiratory Infection in a Children's Hospital: a Simulation Study by N. V. Saperkin, L. Ju. Poslova, M. Ju. Kirillin, M. E. Garbuz, O. V. Kovalishena

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A Comparison of Machine Learning-Based Models and a Simple Clinical Bedside Tool to Predict Morbidity and Mortality After Gastrointestinal Cancer Surgery in the Elderly by Barbara Frezza, Mario Cesare Nurchis, Gabriella Teresa Capolupo, Filippo Carannante, Marco De Prizio, Fabio Rondelli, Danilo Alunni Fegatelli, Alessio Gili, Luca Lepre, Gianluca Costa

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PRKDC regulates cGAMP to enhance immune response in lung cancer treatment by Zhanghao Huang, Zhanghao Huang, Zhanghao Huang, Runqi Huang, Runqi Huang, Runqi Huang, Jun Zhu, Jun Zhu, Youlang Zhou, Youlang Zhou, Jiahai Shi, Jiahai Shi

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Matching and Control Optimisation of Variable-Geometry Turbochargers for Hydrogen Fuel Cell Systems by Matt L. Smith, Alexander Fritot, Davide Di Blasio, Richard Burke, Tom Fletcher

“…The turbocharging of hydrogen fuel cell systems (FCSs) has recently become a prominent research area, aiming to improve FCS efficiency to help decarbonise the energy and transport sectors. …”
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Multi-strategy improved runge kutta optimizer and its promise to estimate the model parameters of solar photovoltaic modules by Serdar Ekinci, Rizk M. Rizk-Allah, Davut Izci, Emre Çelik

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Experimental acoustic study of small horizontal axis wind turbines based on computational fluid dynamics and artificial intelligence approaches by M. Sadeghi malekabadi, A.R. Davari

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Distribution of Choroidal Thinning in High Myopia, Diabetes Mellitus, and Aging: A Swept-Source OCT Study by Francisco de Asís Bartol-Puyal, Carlos Isanta, Óscar Ruiz-Moreno, Beatriz Abadia, Pilar Calvo, Luis Pablo

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Standardized conversion model for retinal thickness measurements between spectral-domain and swept-source optical coherence tomography based on machine learning by Zhongping Tian, Yinning Guo, Xi Chen, Qifeng Zhou, Yuan Liu, Zhizhu Yi, Li Zhang, Li Zhang

“…Machine learning-derived conversion algorithms significantly improve cross-device comparability, offering a robust standardization framework for multicenter research and longitudinal data integration. …”
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AI-Driven Predictive Modeling for Lung Cancer Detection and Management Using Synthetic Data Augmentation and Random Forest Classifier by Nisreen Innab, Asma Aldrees, Dina Abdulaziz AlHammadi, Abeer Hakeem, Muhammad Umer, Shtwai Alsubai, Silvia Trelova, Imran Ashraf

“…The application of machine learning algorithms enables medical researchers to examine large amounts of data accurately, which leads to the development of precise and effective treatment approaches. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…To address this challenge, our study presents the “Optimized Random Forest (Opt-Forest),” an innovative ensemble model that combines decision forest approaches with genetic algorithms (GAs) for enhanced intrusion detection. The genetic algorithms based decision forest construction offers notable benefits by traversing a wider exploration space and mitigating the risk of becoming stuck in local optima, resulting in the discovery of more accurate and compact decision trees. …”
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