The mechanomyographic dataset of hand gestures harvested using an accelerometer and gyroscopeMendeley Data by Khalid A. Abbas, Mofeed Turky Rashid, Luigi Fortuna

“…It is suggested that the proposed dataset is used to evaluate existing datasets in the literature or to validate artificial intelligence models developed with alternative datasets through the participant-independent evaluation approach. …”
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Development of Residual Dense U-Net (RDU-Net)-Based Metal Artefacts Reduction Technique Using Spectral Photon Counting CT by Osama Khan, Briya Tariq, Nadine Francis, Nabil Maalej, Abderaouf Behouch, Amer Kashif, Asim Waris, Aamir Raja

“…Metal induced artefacts in computed tomography (CT) images are primarily caused by beam hardening, scatter effects, and photon starvation. …”
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YOLOPears: a novel benchmark of YOLO object detectors for multi-class pear surface defect detection in quality grading systems by Junsheng Chen, Junsheng Chen, Haoxuan Fu, Haoxuan Fu, Chuhan Lin, Chuhan Lin, Xian Liu, Lijin Wang, Lijin Wang, Yaohua Lin, Yaohua Lin

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Theranostics in Renal Cell Carcinoma—A Step Towards New Opportunities or a Dead End—A Systematic Review by Katarzyna Jóźwik-Plebanek, Marek Saracyn, Maciej Kołodziej, Olga Kamińska, Adam Daniel Durma, Weronika Mądra, Katarzyna Agnieszka Gniadek-Olejniczak, Marek Dedecjus, Jakub Kucharz, Rafał Stec, Grzegorz Kamiński

“…The majority of cases are diagnosed at an advanced stage, as this form of growth is typically silent. An accurate evaluation of the extent of the disease is crucial for selecting the most appropriate treatment approach. …”
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Introducing an index on prediction of post-revascularization cerebral infarction using preoperative CT perfusion parameters in moyamoya disease by Xiaojun Hao, Chao Zhang, Chen Yang, Xintong Zhao, Yunfeng Zhou, Juan Wang

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A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis by Elena Vincenzi, Martina Buccardi, Erica Ferrini, Alice Fantazzini, Eugenia Polverini, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Curzio Basso, Francesca Pennati, Franco Fabio Stellari

“…Abstract Background Drug discovery strongly relies on the thorough evaluation of preclinical experimental studies. In the context of pulmonary fibrosis, micro-computed tomography (µCT) and histology are well-established and complementary tools for assessing, in animal models, disease progression and response to treatment. µCT offers dynamic, real-time insights into disease evolution and the effects of therapies, while histology provides a detailed microscopic examination of lung tissue. …”
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Global Research Trends in Biomimetic Lattice Structures for Energy Absorption and Deformation: A Bibliometric Analysis (2020–2025) by Sunny Narayan, Brahim Menacer, Muhammad Usman Kaisan, Joseph Samuel, Moaz Al-Lehaibi, Faisal O. Mahroogi, Víctor Tuninetti

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SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network by S. Raghavendra, Vijayalakshmi, Vainidhi, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, Ramyashree

“…The generation of high-quality annotated image datasets with low computational cost and automated labeling is essential for advancing computer vision systems. …”
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Considering best practice standards for routine whole-genome sequencing for TB care and control by J.T. Denholm, G. de Vries, R. Anthony, E. Robinson, M. Backx, I.F. Laurenson, A.L. Seagar, H. Modestil, L. Trieu, J.S. Meissner, D.H.L. Ng, J.Y. Tay, H.H. Lin, R. Lee, V. Sintchenko, B.J. Marais, E.J. Donnan

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Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks by R. Augustian Isaac, P. Sundaravadivel, V. S. Nici Marx, G. Priyanga

“…The performance of the proposed methodology is evaluated using MATLAB software using simulation method. …”
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Encoding-Based Machine Learning Approach for Health Status Classification and Remote Monitoring of Cardiac Patients by Sohaib R. Awad, Faris S. Alghareb

“…This trend is largely driven by the growing interest in computer-aided diagnosis based on ML algorithms. However, there has been inadequate investigation into the impact of risk factors on heart health, which hinders the ability to identify heart-related issues and predict the conditions of cardiac patients. …”
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Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study by Neus Torra-Ferrer, Maria Montserrat Duh, Queralt Grau-Ortega, Daniel Cañadas-Gómez, Juan Moreno-Vedia, Meritxell Riera-Marín, Melanie Aliaga-Lavrijsen, Mateu Serra-Prat, Javier García López, Miguel Ángel González-Ballester, Maria Teresa Fernández-Planas, Júlia Rodríguez-Comas

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Quantitative analysis and clinical determinants of orthodontically induced root resorption using automated tooth segmentation from CBCT imaging by Jiaqi Lin, Qianhan Zheng, Yongjia Wu, Mengqi Zhou, Jiahao Chen, Xiaozhe Wang, Ting Kang, Weifang Zhang, Xuepeng Chen

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Optimizing acute chest pain diagnosis: Efficacy of 64-channel multi-slice CT with Snap-Shot Freeze technique in Triple-Rule-out CT angiographyKey Points by Jie Feng, Jiale Zeng, Qiye Xu, Jiatian Lu, Yanru Pei, Xiang Zhang, Ming Gao

“…Objective: This study evaluates the efficacy of Snap-Shot Freeze (SSF) technology combined with optimized contrast medium (CM) injection protocols in Triple-Rule-Out (TRO) computed tomography angiography (CTA) using 64-channel multi-slice CT (MSCT) for diagnosing acute chest pain (ACP). …”
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Adversarial denoising of EEG signals: a comparative analysis of standard GAN and WGAN-GP approaches by Imad Eddine Tibermacine, Samuele Russo, Francesco Citeroni, Giuseppe Mancini, Abdelaziz Rabehi, Amal H. Alharbi, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Christian Napoli, Christian Napoli, Christian Napoli

“…The demonstrated improvements in signal quality underscore the promise of adversarially trained models for applications ranging from basic neuroscience research to real-time brain–computer interfaces (BCIs) in clinical or consumer-grade settings. …”
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Inclusion of the ECMWF ecRad radiation scheme (v1.5.0) in the MAR (v3.14), regional evaluation for Belgium, and assessment of surface shortwave spectral fluxes at Uccle by J.-F. Grailet, R. J. Hogan, R. J. Hogan, N. Ghilain, N. Ghilain, D. Bolsée, X. Fettweis, M. Grégoire

“…Finally, as a first application of spectral shortwave fluxes computed by MAR running with ecRad, a method for predicting UV indices is described and evaluated.…”
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Aceleraciones de alta intensidad en el fútbol. ¿Por qué es importante el método de evaluación? (High-intensity acceleration in soccer. Why is the evaluation method important?) by Francisco Ignacio Martínez-Cabrera, Francisco Javier Núñez-Sánchez, Alejandro Muñoz-López, Moisés de Hoyo

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An Assessment of the Effectiveness of Preoperative İmaging Modalities (MRI, CT, and 18F-FDG PET/CT) in Determining the Extent of Disease Spread in Epithelial Ovarian–Tubal–Peritone... by Hülya Kandemir, Hamdullah Sözen, Merve Gülbiz Kartal, Zeynep Gözde Özkan, Samet Topuz, Mehmet Yavuz Salihoğlu

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Improved Dai–Liao Conjugate Gradient Methods for Large-Scale Unconstrained Optimization by Basim A. Hassan, Alaa Luqman Ibrahim, abd elhamid mehamdia

“…Notably, our enhanced methods consistently outperformed the HS method across several critical performance metrics, including a reduction in the number of iterations required for convergence, a decrease in the total number of function evaluations, and an overall faster computation time…”
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A Search for Exoplanet Candidates in TESS 2 minute Light Curves Using Joint Bayesian Detection by Jamila S. Taaki, Athol J. Kemball, Farzad Kamalabadi

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