Capillary electrophoresis-based detection of cow milk adulteration in specialty milks and products: Physicochemical characteristics of potential markers by Shuobo Jia, Xiaoyue Wang, Chunxia Deng, Bohao Zhang, Rongwei Han, Qijing Du, Hongning Jiang, Tongjun Guo, Dengpan Bu, Yongxin Yang

“…These variations contributed to differences in the retention times observed during capillary electrophoresis analysis. This study laid the groundwork for using capillary electrophoresis to detect adulteration in specialized milks and their processed products, providing useful insights into the physicochemical features of potential markers.…”
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Effective detection of staphylococcal infections in human bone tissue using combined raman microscopy and micro-computed tomography by Richard Andreas Lindtner, Lukas Kampik, Larissa Noack, David Putzer, Rohit Arora, Débora Cristina Coraça-Huber, Michael Schirmer, Gerald Degenhart, Michaela Lackner, Jürgen Popp, Jovan Badzoka, Christoph Kappacher, Christian Wolfgang Huck, Johannes Dominikus Pallua, Johannes Dominikus Pallua

“…Support vector machine (SVM) classification repeated stratified k-folg cross-validation accurately detected inoculation status. Combining Raman and micro-CT features yielded moderately improved classification performance in pathogen-specific discrimination. …”
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Short-term overloading exercise attenuates articular chondrocyte features partly via synovium–cartilage interactions mediated by inhibin subunit beta A by Yusuke Arino, Asuka Terashima, Toshiya Tsubaki, Yasuhide Iwanaga, Yasunori Omata, Sakae Tanaka, Taku Saito

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Epidemic situation and features of accompanying therapy in the treatment of socially significant infectious diseases in penitentiary populations before, during, and after the COVID... by V. M. Kolomiets, N. A. Polshikova, A. Yu. Petrov, A. L. Kovalenko, E. V. Talikova

“…The second stage of the study was the analysis of data on tuberculosis (TB): features of the clinical course, etiotropic treatment, and the possibility of increasing efficiency through accompanying therapy.Results. …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…Introduction:With the advent of remote sensing (RS) big data, the evolving deep learning (DL) enabled analysis has shown remarkable potential in uncovering intricate features and detecting environmental changes from the vast influx of remote sensing imagery. …”
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First detection of VEB-1 extended-spectrum β-lactamase-producing Escherichia coli clinical isolate in Japan by Junko Shindou, Wataru Hayashi, Shizuo Kayama, Liansheng Yu, Hui Zuo, Yo Sugawara, Motoyuki Sugai

“…Furthermore, we characterized the genomic features of plasmids harboring the class 1 integron-borne blaVEB-1. …”
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Incidence of BCR-ABL transcript variants in patients with chronic myeloid leukemia: Their correlation with presenting features, risk scores and response to treatment with imatinib... by Pratik Deb, Prantar Chakrabarti, Shila Chakrabarty, Rajarshi Aich, Uttam Nath, Siddhartha Sankar Ray, Utpal Chaudhuri

“…Aims: In this study, we have tried to correlate the presenting features, risk scores and treatment response with the BCR-ABL variants detected in our patients. …”
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Correlation of Computed Tomography Angiography and Fractional Flow Reserve Features with Symptoms in Patients with Right Coronary Artery Originating from the Left Coronary Sinus by Liang MAO, Xiaoqiang WANG, Xiaolong LIU, Ning ZHAI, Yueqin CHEN

“…Methods: A retrospective analysis was conducted on 151 patients with AORL detected by CCTA between January 2018 and December 2023 at our hospital. …”
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The analysis of events in Biblical narratives by D F Tolmie

“…In many of these analyses one can detect a tendency to reduce the analysis of events to a discussion of only one or two aspects. …”
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ASSOCIATION BETWEEN ADENOID HYPERTROPHY AND CHRONIC RHINOSINUSITIS IN CHILDREN: A SYSTEMATIC REVIEW by Oleksandr M. Naumenko, Yuliia V. Dieieva, Inna V. Gogunska, Lilia I. Romaniuk, Sergiy V. Ziablitsev

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Biochemical indicators, quality and safety of domestic and wild pig slaughter products by S. V. Furman, I. M. Sokulskyi, D. V. Lisohurska, O. V. Lisohurska, B. V. Gutyj

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Predictive and prognostic features of early and locally advanced <i>PIK3CA</i>-mutated luminal HER2-negative breast cancer by A. I. Stukan, T. Yu. Semiglazova, S. I. Kutukova, V. A. Porkhanov, V. N. Bodnya, E. N. Imyanitov, V. V. Antipova, Z. K. Khachmamuk, O. Yu. Chukhray, S. D. Maksimenko

“…The clinical, morphological and molecular features of the tumor of 101 BC patients with PIK3CA mutations (100 women and 1 man) were analyzed. …”
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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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An intelligent method for detection of small target fungal wheat spores based on an improved YOLOv5 with microscopic images by Zhizhou Ren, Kun Liang, Yingqi Zhang, Jinpeng Song, Xiaoxiao Wu, Chi Zhang, Xiuming Mei, Yi Zhang, Xin Liu

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Protocol for detecting and analyzing non-oscillatory traveling waves from high-spatiotemporal-resolution human electrophysiological recordings by Veronica M. Zarr, Jyun-You Liou, Edward M. Merricks, Tyler S. Davis, Kyle Thomson, Bradley Greger, Paul A. House, Ronald G. Emerson, Robert R. Goodman, Guy M. McKhann, II, Sameer A. Sheth, Catherine A. Schevon, John D. Rolston, Elliot H. Smith

“…We describe steps for traveling wave detection, feature characterization, and propagation pattern analysis. …”
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An explainable AI-driven transformer model for spoofing attack detection in Internet of Medical Things (IoMT) networks by Mohammad A. Alsharaiah, Mohammed Amin Almaiah, Rami Shehab, Mansour Obeidat, Fuad Ali El-Qirem, Theyazn Aldhyani

“…To enhance model interpretability and foster trust in AI-driven security systems, we integrate Explainable AI (XAI) techniques, specifically SHAP analysis, allowing for a deeper understanding of feature contributions in decision-making. …”
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A Distributed Privacy Preserved Federated Learning Approach for Revolutionizing Pneumonia Detection in Isolated Heterogenous Data Silos by Shagun Sharma, Kalpna Guleria

“…Pneumonia is a respiratory lung contamination that ranges in severity from mild to lethal outcomes. The analysis of tomographic images is the most significant method of pneumonia detection. …”
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Detection of MDM2 amplification by shallow whole genome sequencing of cell-free DNA of patients with dedifferentiated liposarcoma. by Joanna Przybyl, Lien Spans, Kristen Ganjoo, Nam Bui, David Mohler, Jeffrey Norton, George Poultsides, Maria Debiec-Rychter, Matt van de Rijn

“…By applying a genome-wide approach to the analysis of cell-free DNA, we also detected amplification of other genes that are known to be recurrently affected in DDLPS. …”
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YED-Net: Yoga Exercise Dynamics Monitoring with YOLOv11-ECA-Enhanced Detection and DeepSORT Tracking by Youyu Zhou, Shu Dong, Hao Sheng, Wei Ke

“…Furthermore, a Parallel Spatial Attention (PSA) mechanism is incorporated to enhance multi-target feature discrimination. These enhancements enable the model to achieve a high detection accuracy of 98.6% mAP@0.5 while maintaining low computational complexity (2.35 M parameters, 3.11 GFLOPs). …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…The comparative outcome analysis displays the promising performance of the OCDWO-DLCLC method on the recent models. …”
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