Advances in the Application of CRISPR-Cas-Based Detection Systems for Safety Monitoring and Control in the Food Supply Chain by WAN Wen-yuan, ZHANG Feng, LIU Zhi-yong, ZHAO Yu

“…This review explores the progress and applications of CRISPR-Cas detection systems in identifying foodborne viruses. …”
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Prognostic potential of tumor lesions of the lower uterine segment in early endometrioid cancer of the uterine body by B. E. Tkachenko, L. S. Mkrtchian, I. A. Zamulaeva, A. B. Galitsyna, E. V. Sheberova, T. А. Agababyan, S. A. Ivanov, A. D. Kaprin

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Anti-MDA5 antibody IgG1 subtype is associated with rapidly progressive interstitial lung disease in anti-MDA5-positive dermatomyositis by Yun Wu, Yue Wang, Yulu Qiu, Chengying Lv, Yujing Zhu, Lei Wang, Lingxiao Xu, Hanxiao You, Fang Wang, Wenfeng Tan

“…Abstract Background Rapidly progressive interstitial lung disease (RP-ILD) is a severe, often fatal complication in patients with anti-melanoma differentiation-associated gene 5 antibody-positive dermatomyositis (MDA5+ DM). …”
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Static detection method for multi-level network source code vulnerabilities based on knowledge graph technology by Peng Xiao, Lina Zhang, Ying Yan, Zhenhong Zhang

“…However, due to the failure to fully simulate the actual operating environment of programs, some vulnerabilities that trigger only under specific conditions are difficult to be found by static detection tools. …”
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Integrating Community Engagement in Zero Leprosy Efforts: A Pathway to Sustainable Early Detection, Control and Elimination by Anil Fastenau, Matthew Willis, Constanze Vettel, Sophie C. W. Stuetzle, Srilekha Penna, Priyanka Chahal, Fabian Schlumberger, Mowmita Basak Mow, Ngozi Ekeke, Joseph Ngozi Chukwu, Patricia D. Deps

“…Drawing on case studies from Brazil, India, and Nigeria, this opinion piece explores how community-driven initiatives have successfully improved leprosy awareness, reduced stigma, and fostered early case detection and treatment adherence. The importance of culturally sensitive, inclusive approaches in health education and stigma reduction campaigns is highlighted, emphasizing the potential for community engagement to enhance national leprosy programs and contribute to the World Health Organization’s Zero Leprosy Strategy. …”
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MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern by Q. He, Y. J. Zheng, C.L. Zhang, H. Y. Wang

“…Currently, multivariate time series anomaly detection has made great progress in many fields and occupied an important position. …”
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Advancements in surface-enhanced femtosecond stimulated Raman spectroscopy: exploring factors influencing detectability and shapes of spectra by Pyrcz Patryk, Gawinkowski Sylwester

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From black box AI to XAI in neuro-oncology: a survey on MRI-based tumor detection by Asmita, Praveen Mittal

“…Recent advancements in deep transfer learning have driven transformative progress in automating tumor detection, achieving notable improvements in accuracy, scalability, and computational efficiency. …”
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The Role of Pd-Pt Bimetallic Catalysts in Ethylene Detection by CMOS-MEMS Gas Sensor Dubbed GMOS by Hanin Ashkar, Sara Stolyarova, Tanya Blank, Yael Nemirovsky

“…This work summarizes the significant progress in ethylene detection based on an innovative Gas Metal Oxide Semiconductor (GMOS) sensor and a new catalytic composition of metallic nanoparticles. …”
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Detection of genetic relationships among some species belongs to genus Malus from mid Iraqi regions by AL- Anbari Aseel K, AL-Hadeethi Muazaz A, Jawad. Mohammed M

“… RAPD-PCR method was used for systematic study and revealing the genetic relationships in Malus by using 7 apple cultivars from some mid Iraqi regions, DNA of fresh leaves was extracted using modified protocol of CTAB, 22 prechosen random decamer primers were applied to detect Malus genotypes. four primers gave reproducible and appeared polymorphism in the RAPD profile, a total 48 bands were produced out of which 36 bands were polymorphic, the results arise two main clusters, the first one included Malus sylvestris has unique amplified and discriminated from other Malus taxa, thus it can be a good molecular tool for taxa identification which separated at the similarity value of 0.48, and the second cluster contained two groups, one included M. domestica, and  M. domestica var. ralls janet which appeared as closely related species with a stronger correlation at similarity range of  0.09, furthermore, it considered that the present study identifies reservoir of alleles that useful for breeding programs in parental crosses. …”
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Electric Vehicles CAN Bus Cyber Attacks Detection Using Adaptive Neuro Fuzzy Inference System by Omar Adil Al Isawi, Khaled Ali Al Jaafari, Ameena Saad Al-Sumaiti

“…The Electric Vehicle (EV) industry has recently experienced notable technological progress in the field of Controller Area Network (CAN) protocol. …”
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FinGraphFL: Financial Graph-Based Federated Learning for Enhanced Credit Card Fraud Detection by Zhenyu Xia, Suvash C. Saha

“…In the field of credit card fraud detection, traditional methods often struggle due to their reliance on complex manual feature engineering or their inability to adapt to rapidly changing fraud patterns. …”
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MCFNet: Multi-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images by Jinting Ding, Yueqian Quan, Honghui Xu

“…The rapid advancement of deep learning has catalyzed progress in salient object detection (SOD), extending its impact to the domain of optical remote sensing images (ORSIs). …”
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Towards automatic farrowing monitoring-A Noisy Student approach for improving detection performance of newborn piglets. by Martin Wutke, Clara Lensches, Ulrich Hartmann, Imke Traulsen

“…Firstly, the results contribute directly to the improvement of piglet detection in the context of birth monitoring systems and the evaluation of the farrowing progress. …”
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State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…The research findings indicate that there is clear progress in detecting transformer faults, moving from older methods like Dissolved Gas Analysis (DGA) to machine learning models such as Random Forest and Convolutional Neural Networks (CNN). …”
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Edge neuro-statistical learning for event-based visual motion detection and tracking in roadside safety systems by Cristian Axenie, Ertan Halilov, Julian Main, David Weiss

“…The Vision Zero Program’s purpose is to reduce traffic-related fatalities and serious injuries while promoting equitable, safe, and healthy mobility for all. …”
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PCR-Based Direct Detection of Streptococcus uberis from Subclinical and Clinical Dairy Cattle Milk Samples by Virginia E. Sherwin, Morena Santi, Olivia Walker, Natalie D. Pickwell, Tracey J. Coffey, James A. Leigh, Sharon A. Egan

“…Streptococcus uberis is one of the leading causes worldwide of mastitis in the dairy industry, with the most likely sources of infection attributed to environmental reservoirs such as contaminated bedding materials. Early detection of those cases most likely to progress to clinical disease would lead to improved animal welfare, a critical component of overall health and productivity. …”
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Geospatial patterns of progress towards UNAIDS ‘95-95-95’ targets and community vulnerability in Zambia: insights from population-based HIV impact assessments by Suilanji Sivile, Diego F Cuadros, Lloyd Mulenga, Sulani Nyimbili, Natalie Vlahakis, Theodora Savory, Tuhin Chowdhury, Masabho Milali, Daniel T Citron, Khozya Davie Zyambo, Anna Bershteyn

“…Multiple logistic regression models were used to examine the association between selected sociodemographic and behavioural covariates and the three main outcomes of study.Results Varied progress towards the ‘95-95-95’ targets were observed in different regions of Zambia. …”
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Comparison of immunohistochemistry and polymerase chain reaction for detection of West Nile virus in naturally infected dead birds by Tejbir S Sandhu, Dalbinder S Sidhu, Major S Dhillon, Ying Fang

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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…One of the key benefits of the healthcare system is the ability to predict diseases early. Recently, the progress of artificial intelligence (AI) in the healthcare system has been a high priority. …”
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