Real-Time Acoustic Measurement System for Cutting-Tool Analysis During Stainless Steel Machining by Tom Salm, Kourosh Tatar, José Chilo

“…This study presents a sound-based tool-wear monitoring system designed to overcome the limitations of conventional methods that focus solely on gradual and predictable wear patterns. …”
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Transforming molecular diagnostics learning: the power of gamification in higher medical education by Hua Zhu, Wei Zeng, Li Chen

“…IntroductionTraditional teaching models in molecular diagnostics often fail to engage students effectively, leading to superficial learning and limited development of core competencies.MethodsThis study evaluated the integration of gamified learning with collaborative inquiry learning to enhance student motivation and competencies improvement among 47 biotechnology undergraduates at Guilin Medical University. …”
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The role of the patients register in early diagnostics of familial adenomatosis coli by A. M. Kuzminov, A. V. Karpuhin, Yu. Yu. Chubarov, I. Yu. Sachkov, T. A. Savel’yeva

“…To estimate efficacy of the Register of patients with familial adenomatosis coli.Material and methods. Overall 1036 patients with familial adenomatosis coli were observed. …”
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Investigating the Impact of Voxel Size and Postfiltering on Quantitative Analysis of Positron Emission Tomography/Computed Tomography: A Phantom Study by Ahmed Abdel Mohymen, Hamed Ibrahim Farag, Sameh M. Reda, Ahmed Soltan Monem, Said A. Ali

“…These findings emphasize the need to optimize the reconstruction parameters to enhance the clinical utility of PET/CT in detecting and evaluating malignant lesions.…”
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Changes in tumor necrosis factor-a (TNF-a), interleukin-6 (IL-6), matrix metallopeptidase-2/9 (MMP-2/9), and T-lymphocyte subsets in patients undergoing thoracoscopic surgery under... by Cai Shuxin, Zhang Yannan

“…Background: Non-small-cell lung cancer (NSCLC) remains one of the most common malignancies worldwide, posing a great potential threat to the health and life safety of patients. Methods: One hundred and fifty NSCLC patients admitted to our hospital from September 2022 to September 2023 were selected whose inflammatory response and changes in T-lymphocyte subpopulations before and after surgery were detected, and patients' psychological status was investigated. …”
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Somaclonal Variation and Clonal Fidelity in Commercial Micropropagation: Challenges and Perspectives by Sweety Majumder, Abir U. Igamberdiev, Samir C. Debnath

“…The advancements in tissue culture methods have become a feasible option for the micropropagation of plants at the commercial level. …”
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Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

“…These limitations hinder their effectiveness, particularly in detecting health-related behaviors such as sedentary patterns, social interactions, and hygiene compliance.MethodsTo overcome these shortcomings, this research introduces an AI-driven information system that leverages advanced deep learning models and an Adaptive Knowledge Embedding Network (AKEN) to improve action recognition accuracy. …”
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SUMO modified ETV1 promotes M2-polarized tumor-associated macrophage infiltration and cancer progression by facilitating CCL2 transcription in esophageal squamous cell carcinoma ce... by Tianci Han, Xiaoqi Guo, Junwei Xie, Wei Tong, Liang Zhang

“…Immunofluorescence double staining was used to detect the tumor-associated macrophage (TAM) infiltration. …”
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Advances in Breast Cancer Care: The Role of Artificial Intelligence and Digital Pathology in Precision Medicine by Ayşe Hümeyra Dur Karasayar, İbrahim Kulaç, Nilgün Kapucuoğlu

“…This partnership is anticipated to transform breast cancer care by enhancing patient outcomes and optimizing treatment approaches.…”
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Improving the early diagnosis and clinical outcomes of shock patients via laser speckle contrast imaging assessment of peripheral hemodynamics by Meng-Che Hsieh, Jin-Jia Hu, Yan-Ren Lin, Shih-Yu Li, Pei-You Hsieh, Congo Tak Shing Ching, Lun-De Liao

“…Summary: Shock is defined as a critical circulatory failure that requires prompt diagnosis to optimize patient outcomes. Traditional diagnostic methods have limitations, including contact-based measurements, high costs, and lengthy procedures. …”
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Additive manufacturing of a 3D-segmented plastic scintillator detector for tracking and calorimetry of elementary particles by Tim Weber, Andrey Boyarintsev, Umut Kose, Botao Li, Davide Sgalaberna, Tetiana Sibilieva, Johannes Wüthrich, Siddartha Berns, Eric Boillat, Albert De Roeck, Till Dieminger, Matthew Franks, Boris Grynyov, Sylvain Hugon, Carsten Jaeschke, André Rubbia

“…Abstract Plastic scintillators, segmented into small, optically isolated voxels, are used for detecting elementary particles and provide reliable particle identification with nanosecond time resolution. …”
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FUNGAL ALLERGY: AEROBIOLOGICAL ASPECTS IN SAMARA by K. S. Mazokha, M. V. Manzhos, N. N. Zhukova, L. R. Khabibulina, N. V. Vlasova, L. M. Kavelenova, A. S. Zatsepin, A. A. Krasnova

“…Objective: to analyze dynamics of sporulation of mold fungi in order to predict the risks of exacerbation of allergic diseases in Samara.Materials and methods. We evaluated the concentration of fungal spores between April 1st and September 30th in 2016–2019 in the air. …”
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Discriminant canonical analysis as a tool to determine traces of endangered native hen breed introgression through egg hatchability phenomics by Antonio González Ariza, Francisco Javier Navas González, Ander Arando Arbulu, José Manuel León Jurado, Juan Vicente Delgado Bermejo, María Esperanza Camacho Vallejo

“…The model may be translatable to other endangered breeds to optimize avian breeds conservation plans worldwide.…”
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Study on the effect of GCY-12 gene on albendazole sensitivity of Haemonchus contortus by RNA interference by Xindi Chen, Yaqin Shi, Tengyu Wang, Chunxia Liu, Wenlong Wang, Yu Wang

“…The reaction temperature was optimized, the expression of silenced eggs was detected by quantitative real-time polymerase chain reaction (qRT-PCR) technology, and the drug resistance of silenced eggs was detected by egg hatch assay (EHA).ResultsThe results showed that the gene expression level decreased significantly after GCY-12 interference, and the sensitivity of H. contortus to albendazole increased.DiscussionThis study highlights the potential role of GCY-12 in modulating albendazole resistance in H. contortus, offering new insights for developing effective therapeutic approaches.…”
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Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

“…Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. …”
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Identifying modules of cooperating cancer drivers by Michael I Klein, Vincent L Cannataro, Jeffrey P Townsend, Scott Newman, David F Stern, Hongyu Zhao

“…CRSO is distinct from methods based on statistical co‐occurrence, which we demonstrate is a suboptimal criterion for investigating driver cooperation. …”
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Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management by Fariborz Rasoulie

“…Each drone continuously broadcasts its state—such as position, velocity, and intended path—to nearby units, dynamically constructing a “traffic graph” that includes both drones and detected obstacles. Unlike traditional methods that rely on fixed geometric rules or purely reactive algorithms, CGPCA leverages predictive learning. …”
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Learning the Hit-or-Miss Transform-Based Morphological Neural Networks by Muhammad Aminul Islam, Sireesha Chimbili

“…In this article, we propose techniques to improve the learning of the hit-or-miss transform, a morphological operation developed to detect object shapes by simultaneously matching the foreground and background. …”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…The potential and accuracy of artificial neural networks (ANN), based on ML methods, are addressed based on validation toward literature data. …”
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Single-trial FRPs: A Machine Learning Approach Towards the Study of the Neural Underpinning of Reading Disorders by Christoforos Christoforou, Timothy C. Papadopoulos, Maria Theodorou

“…Importantly, our proposed framework provides a novel approach that can facilitate the study of neural correlates of reading disorders under paradigms current methods are unable to.…”
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