Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed by Wei Zhang, Hao Chen, Ke Huang, Xing Shu, Cheng Fu, Bin Huang

“…Traditional models are limited, and while CFD simulations are precise, they are computationally expensive. To address these challenges, this study introduces three advanced intelligent models aimed at improving the prediction of the mass transfer coefficient. …”
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Decoding resistance to immune checkpoint inhibitors in non-small cell lung cancer: a comprehensive analysis of plasma proteomics and therapeutic implications by David P Carbone, Igor Puzanov, Ronan J Kelly, Yuval Shaked, Michal Harel, Coren Lahav, Eyal Jacob, Nili Dahan, David R Gandara, Yehonatan Elon, Adam P Dicker, Raya Leibowitz

“…Enrichment analyses were performed to investigate RAP-related biological processes. Plasma proteomic data from 50 healthy subjects and 272 patients with NSCLC were compared, where patients were classified as displaying clinical benefit (CB; n=76) or no CB (NCB; n=196). …”
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AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study by Jirong Yi, PhD, Anna M Marcinkiewicz, MD, Aakash Shanbhag, MSc, Robert J H Miller, MD, Jolien Geers, MD, Wenhao Zhang, PhD, Aditya Killekar, MSc, Nipun Manral, MSc, Mark Lemley, BSc, Mikolaj Buchwald, PhD, Jacek Kwiecinski, MD, Jianhang Zhou, MSc, Paul B Kavanagh, MSc, Joanna X Liang, MPH, Valerie Builoff, BSc, ProfMD Terrence D Ruddy, BSc, ProfMD Andrew J Einstein, BSc, Attila Feher, MD, Edward J Miller, Prof, ProfMD Albert J Sinusas, Prof, ProfMD Daniel S Berman, Prof, ProfPhD Damini Dey, Prof, Piotr J Slomka, PhD

“…Findings: The end-to-end processing time was less than 2 min per scan with no user interaction. …”
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A Pioneering Experiment Combining Single-antenna and Aperture-synthesis Data to Measure Faraday Rotation with GMIMS and the CGPS by Anna Ordog, Jo-Anne C. Brown, T. L. Landecker, Alex S. Hill, Roland Kothes, Jennifer L. West, John M. Dickey, Marijke Haverkorn, Ettore Carretti, Alec J. M. Thomson, Andrea Bracco, D. A. Del Rizzo, Ryan R. Ransom, Robert I. Reid

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Reverse vaccinology-based design of multivalent multiepitope mRNA vaccines targeting key viral proteins of Herpes Simplex Virus type-2 by N. S. Suneesh, N. S. Suneesh, Kishore Dhotre, Pratik Mahajan, Debashree Dass, Anwesha Banerjee, Nikhat J. Siddiqi, Abdul Malik, Manali Joshi, Abdul Arif Khan, Abdul Arif Khan, Abdul Arif Khan, Vijay Nema, Vijay Nema, Vijay Nema, Vijay Nema, Anupam Mukherjee, Anupam Mukherjee, Anupam Mukherjee, Anupam Mukherjee

“…Proteasomal cleavage analysis confirmed efficient antigen processing, while codon optimization ensured compatibility with the human translational machinery. …”
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MQGA: A quantitative analysis of brain network hubs using multi-graph theoretical indices by Hongzhou Wu, Zhenzhen Yang, Qingquan Cao, Pan Wang, Bharat B. Biswal, Benjamin Klugah-Brown

“…This study proposes a novel computational method utilizing multi-graph theoretical index calculations to quantitatively analyze hub attributes in brain networks. …”
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CYLD as a key regulator of myocardial infarction-to-heart failure transition revealed by multi-omics integration by Jingya Xu, Jingya Xu, Zhonghua Dong, Zhaodong Li, Xuan Wang, Xuan Wang

“…These hubs were significantly associated with immune-related processes, suggesting their potential role in the pathogenesis of HF after MI. …”
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The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks by Han Lu, Sandra Diaz-Pier, Maximilian Lenz, Andreas Vlachos

“…Critical network states and neural plasticity enable adaptive behavior in dynamic environments, supporting efficient information processing and experience-dependent learning. Synaptic-weight-based Hebbian plasticity and homeostatic synaptic scaling are key mechanisms that enable memory while stabilizing network dynamics. …”
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Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA by Saad Javed Cheema, Aitazaz A. Farooque, Mehdi Jamei, Khabat Khasravi, Farhat Abbas, Suqi Liu, Travis J. Esau, Kuljeet Singh Grewal

“…The input data included seven daily meteorological variables, including maximum, minimum, mean, relative humidity, Wind, and Slope, extracted from 2018 to 2023 datasets to compute ETo and Kpan locally measured Epan. Statistical indicators, including correlation coefficient (R), root mean square error (RMSE), Kling–Gupta efficiency (KGE), and Vulnerability, evaluated the model output. …”
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Healthcare-Associated Infections: The Role of Microbial and Environmental Factors in Infection Control—A Narrative Review by Andreea M. Sandu, Mariana C. Chifiriuc, Corneliu O. Vrancianu, Roxana-E. Cristian, Cristina F. Alistar, Marian Constantin, Mihaela Paun, Alexandru Alistar, Loredana G. Popa, Mircea I. Popa, Ana C. Tantu, Manuela E. Sidoroff, Mara M. Mihai, Andreea Marcu, George Popescu, Monica M. Tantu

“…Artificial intelligence and machine learning systems offer promising predictive capabilities in processing large volumes of clinical, microbiological, and patient data but require robust data integration. …”
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A band selection method for consumer-grade camera modification for UAV-based rapeseed growth monitoring by Chufeng Wang, Jian Zhang, Hao Wu, Bin Liu, Botao Wang, Yunhao You, Zuojun Tan, Jing Xie, Liangzhi You, Junqiang Zhang, Ping Wen

“…In addition, the high-resolution images from the modified camera were processed to obtain accurate crop plant height information. …”
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Visualization of High-Intensity Laser–Matter Interactions in Virtual Reality and Web Browser by Martin Matys, James P. Thistlewood, Mariana Kecová, Petr Valenta, Martina Greplová Žáková, Martin Jirka, Prokopis Hadjisolomou, Alžběta Špádová, Marcel Lamač, Sergei V. Bulanov

“…VBL enhances the visualization of PIC simulations by efficiently processing and rendering four main data types: point particles, 1D lines, 2D textures, and 3D volumes. …”
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Feasibility of an Inductive Pedicle Screw Loosening Detection Concept Using a Pulse Induction Metal Detector by Ramon Rohner, David E. Bauer, Martin Hartmann, Tobias Gotschi, Mazda Farshad, Jonas Widmer

“…<italic>Introduction:</italic> Pedicle screw loosening is a major problem in spine surgery. Computed tomography (CT) is the gold standard to diagnose screw loosening. …”
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A Prototype Intraoral Periapical Sensor with High Frame Rates for a 2.5D Periapical Radiography System by Che-Wei Liao, Ker-Jer Huang, Jyh-Cheng Chen, Chih-Wei Kuo, Yin-Yi Wu, Jui-Ting Hsu

“…., using dental cone-beam computed tomography (CBCT)). Among them, 2D periapical film images are most commonly used. …”
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Entropy generation and heat convection analysis of second-grade viscoelastic nanofluid flow in a tilted lid-driven square enclosure: A finite difference approach by Anil Ahlawat, Mukesh Kumar Sharma, K. Loganathan

“…Thermal management is crucial for effective heat regulation and minimal energy loss across fields like electronics cooling, chemical processing, and energy storage etc. Therefore, present work numerically analyzes the convection of heat and entropy production for a lid driven flow in a tilted square enclosure containing viscoelastic nanofluid exposed to a static magnetic field with a magnitude denoted as ‘B0’. …”
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A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support by Alexandre Hudon, Alexandre Hudon, Alexandre Hudon, Alexandre Hudon

“…Future work should aim to validate the model across other jurisdictions, incorporate more advanced natural language processing for semantic feature extraction, and explore dynamic rule optimization techniques. …”
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Enhanced unsupervised domain adaptation with iterative pseudo-label refinement for inter-event oil spill segmentation in SAR images by Guangyan Cui, Jianchao Fan, Yarong Zou

“…Specifically, the freely downloaded and collected Sentinel-1 and ERS-1/2 oil spill historical data are used as source domains, respectively, which are migrated to each new oil spill event with limited training samples based on adversarial training to improve the timeliness and accuracy of processing new oil spill events. Subsequently, the target domain is divided more rationally by combining the knowledge of the resolution and polarization mode of the satellite images, the wind speed information of the marine environment, and the computable oil-seawater power ratio. …”
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Predictors of Treatment Outcomes among Pediatric Patients Hospitalized with Pneumonia in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia by Hilina Tsegaw, Mohammed Yimam, Dejen Nureye, Workineh Woldeselassie, Solomon Hambisa

“…The sample size was computed based on a single population proportion formula and giving a total sample size of 207. …”
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Levenberg-Marquardt recurrent neural network for heat transfer in ternary hybrid nanofluid flow with nonlinear heat source-sink by Ibrahim Mahariq, Kashif Ullah, Mehreen Fiza, Aasim Ullah Jan, Hakeem Ullah, Saeed Islam, Seham M. Al-Mekhlafi

“…Furthermore, these findings play a crucial role in improving thermal management systems and processes for advanced engineering and industrial applications.…”
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A Systematic Review on Smart and Predictive Maintenance in Tool Condition Monitoring by Dhanalekshmi Prasad Yedurkar, Thomas Schlech, Markus G. R. Sause

“…This study aims to support a comprehensive and methodical review of studies on the data-driven approach for estimating the RUL of cutting tools used in various computer numerical control (CNC) machining processes, including drilling, milling, and turning operations. …”
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