A multiple biomolecules-based rapid life detection protocol embedded in a rover scientific subsystem for soil sample analysis by Akib Zaman, Fardeen Ashraf, Haseena Khan, Faria Noshin Ahona, Oliullah Samir, Asif Mahmud Rayhan, Sadia Nur Nazifa, Hafsah Mahzabin Chowdhury, Md. Mahbubur Rahman

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The predictive value and model establishment of body composition in the long-term prognosis of patients after rectal cancer surgery by LIU Shuo, LU Yun, HU Jilin, YANG Wenchang, ZHAO Rizhi, XU Wenda, YANG Hanyu, LU Zechen, MA Zheng, DU Zhaolin, GAO Yunzhi, GAO Yuan

“…Inclusion criteria: ① Age>18 years; ② Preoperative colonoscopy and pathological diagnosis of colorectal cancer; ③ Complete surgical resection; ④ Abdominal computed tomography (CT) scan 1 month before surgery. …”
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Golden hour management in the patient with intraparenchymal cerebral hemorrhage: an Italian intersociety document by Gianluigi Morello, Daniela Alampi, Raffaele Aspide, Alessandra Beretta, Rita Bertuetti, Federico Bilotta, Etrusca Brogi, Giovanni Buscema, Anselmo Caricato, Davide Caruzzo, Carlo Alberto Castioni, Arturo Chieregato, Andrea Cortegiani, Alessandro De Cassai, Andrea Fabbri, Domenico Gelormini, Paolo Gritti, Lucrezia Guadrini, Alberto Librizzi, Nicola Latronico, Nicola Limbucci, Marina Munari, Edoardo Picetti, Giuseppina Pipitone, Gianluca Pucciarelli, Chiara Robba, Danilo Toni, Salvatore Sardo, Simone Maria Zerbi, Nicola Zugni, Frank Rasulo

“…Statements were formulated based on both evidence and expert consensus, and the final document underwent external peer review. Results Computer tomography (CT) angiography, with over 90% sensitivity and specificity, is a key tool for identifying macrovascular abnormalities and detecting active bleeding, a critical factor in poor outcomes. …”
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An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study by Inge A. H. van den Berk, Colin Jacobs, Maadrika M. N. P. Kanglie, Onno M. Mets, Miranda Snoeren, Alexander D. Montauban van Swijndregt, Elisabeth M. Taal, Tjitske S. R. van Engelen, Jan M. Prins, Shandra Bipat, Patrick M. M. Bossuyt, Jaap Stoker, The OPTIMACT study group

“…Abstract Background To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED). …”
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Zero-BertXGB: An Empirical Technique for Abstract Classification in Systematic Reviews by Mohammad Shariful Islam, Mohammad Abu Tareq Rony, Md Rasel Hossain, Samah Alshathri, Walid El-Shafai

“…A significant research gap in abstract classification has been identified in previous literature, particularly in comparing Large Language Models (LLMs) with traditional ML and Natural Language Processing (NLP) techniques regarding scalability, adaptability, computational efficiency, and real-time application. …”
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Audio–Visual Synchronization and Lip Movement Analysis for Real-Time Deepfake Detection by Muhammad Javed, Zhaohui Zhang, Fida Hussain Dahri, Asif Ali Laghari, Martin Krajčík, Ahmad Almadhor

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Learning Online MEMS Calibration with Time-Varying and Memory-Efficient Gaussian Neural Topologies by Danilo Pietro Pau, Simone Tognocchi, Marco Marcon

“…This avoids using any off-package computing processor. The learning process is performed periodically to achieve consistent sensor recalibration over time. …”
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A SIMPLIFIED MODEL OF THREE-PHASE BANK OF CURRENT TRANSFORMERS IN THE DYNAMIC SIMULATION SYSTEM by I. V. Novash, Yu. V. Rumiantsev

“…Thus, the simulation under consideration enables the assessment of technical feasibility of the CT from viewpoint of correct functioning of the relay protective devices during transient processes in the electric energy systems.Employing the model, the authors conduct computational experiments simulating the CT typical operating modes: short-circuit current passage with presence/absence of the direct component and short-circuit current passage with presence of the direct component and residual magnetic induction of the CT. …”
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A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future Directions by Asma Musabah Alkalbani, Ahmed Salim Alrawahi, Ahmad Salah, Venus Haghighi, Yang Zhang, Salam Alkindi, Quan Z. Sheng

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Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images by Mahmoud Ragab, Iyad Katib, Sanaa A. Sharaf, Hassan A. Alterazi, Alanoud Subahi, Sana G. Alattas, Sami Saeed Binyamin, Jaber Alyami

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Application of virtual assembly for complex mechanical structures based on digital twin technology by Jin Chuyun, Lin Mu

“…The research aims to develop high-fidelity virtual assembly models that enable precise simulation and optimization of mechanical assembly processes. By integrating multi-level information modeling techniques and incorporating gesture recognition technology to enhance human-computer interaction, the proposed approach significantly improves the efficiency and accuracy of mechanical assembly operations. …”
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Enhancing E-Recruitment Recommendations Through Text Summarization Techniques by Reham Hesham El-Deeb, Walid Abdelmoez, Nashwa El-Bendary

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Nonlinear multimode photonics on-chip by Vitali Valerio, Bucio Thalía Domínguez, Liu Hao, Haines Jack, Naik Pooja Uday, Guasoni Massimiliano, Gardes Frederic, Pavesi Lorenzo, Cristiani Ilaria, Lacava Cosimo, Petropoulos Periklis

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Cyberattack Risk Assessment in Electronic banking Technologies (the Case of Software Implementation) by A. A. Berdyugin, P. V. Revenkov

“…The authors investigate the risks of computer attacks on automated banking systems. The relevance of the study is due to the need to revise the approaches to risk assessment based on the technical components of banking business processes and the consequences of cyber-attacks aimed at banking automated systems in credit institutions. …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

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Machine learning vs. rule-based methods for document classification of electronic health records within mental health care—A systematic literature review by Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak

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Teatro anatômico digital: práticas de representação do corpo na ciência The digital anatomical theater: scientific practices for representing the body by Marko Monteiro

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Non-Newtonian Convective Heat Transfer in Annuli: Numerical Investigation on the Effects of Staggered Helical Fins by Luca Pagliarini, Fabio Bozzoli, Rasoul Fallahzadeh, Sara Rainieri

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CHANGES IN MICROMORPHOMETRIC PARAMETERS OF VOIDS ALONG THE PROFILE OF ZONAL SOILS IN EUROPEAN RUSSIA by E. B. Skvortsova, K. N. Abrosimov, K. A. Romanenko

“…On the other hand, it makes possible to use the profile of the pore space as a diagnostic parameter of soils and soil formation processes.…”
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Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning by Mohammad Hossein Sarkhosh, Mohammad Hossein Sarkhosh, Hadis Edrisnia, Mohammad Reza Raveshi, Mahkame Sharbatdar

“…IntroductionUnderstanding the hemodynamics of blood circulation is crucial to reveal the processes contributing to stenosis and atherosclerosis development.MethodComputational fluid dynamics (CFD) facilitates this understanding by simulating blood flow patterns in coronary arteries. …”
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