A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…Abstract Deep learning is one of the most popular machine learning methods, and has been used in many applications. However, conventional deep learning is a fully deterministic model that has difficulty reducing data uncertainty while shedding no light on model transparency. …”
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Peripherally inserted central catheters versus implanted port catheters in patients with breast cancer: a post hoc analysis of the PICCPORT randomised controlled trial by Anton Utas, Stefanie Seifert, Knut Taxbro

“…Background: Breast cancer is the most prevalent malignancy affecting women. However, the optimal strategy for patients requiring long-term central venous catheters in breast cancer treatment remains uncertain. …”
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Deaths burden of laryngeal cancer attributable to occupational exposure in the male working age population: findings from global burden of disease study 2021 by Donghai Wang, Sen Yang, Wenxing Yu, Zixuan Tang, Qin Wang, Mingzhu Fang, Chunyan Li

“…This study analyzes the deaths burden from 1990 to 2021 using Global Burden of Disease (GBD) data, providing insights for optimizing prevention strategies.MethodsData from GBD 2021 database were used to calculate age-standardized death rates (ASDR) and estimated annual percent changes (EAPC). …”
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Effects of irrigation amount and frequency on soil water and salt dynamics and water use efficiency of mulched drip-irrigated cotton in Southern Xinjiang by NING Huifeng, CAO Zhenxi, LI Songmin, SHI Lujian, SHEN Xiaojun, LI Yong, HAN Qisheng, ZHANG Xianbo, YANG Guang

“…This paper experimentally studies suitable drip-irrigation strategies for cotton cultivated in saline-alkali soil with plastic film mulch.【Method】A field experiment was conducted from April to August 2018 to evaluate the influence of plant row spacing and irrigation methods on cotton growth. …”
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Use of Diagnostic Algorithms for *NTRK* Fusion-Positive Tumors in Pathology Institutes in Switzerland by Holger Moch, Gieri Cathomas, Milo Frattini, Wolfram Jochum, Erik Vassella, Laurence de Leval, Joachim Diebold, Christian Britschgi, Thomas McKee, Lukas Bubendorf

“…As the detection of *NTRK* gene fusion opens up new treatment options for patients, it is vital to ensure that the detection methods and diagnostic algorithms in pathology institutes are optimized and of high quality. …”
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Defect Detection of Bolts through Machine Learning ofUltrasonic Testing Signals by Abdul Azziz Abd Talib, Chun Yee Lim, Chin Kian Liew

“…Traditional visual inspection methods often fail to detect internal defects of installed bolts, necessitating more advanced approaches. …”
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Domains of pseudo-differential operators: a case for the Triebel-Lizorkin spaces by Jon Johnsen

“…The main result is that every pseudo-differential operator of type 1, 1 and order d is continuous from the Triebel-Lizorkin space Fp,1d to Lp, 1≤p≺∞, and that this is optimal within the Besov and Triebel-Lizorkin scales. …”
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Age and sex-related variations in the time of manifestation of type 1 diabetes mellitus and its chronic complications in children by Oleg Avgustovich Dianov, Evgeny Alexandrovich Kovalenko, Natalya Nikolaevna Nezherenko, Vadim Valer'evich Zhmurkin

“…To elucidate age and sex-related differences in the time of manifestation of type 1 diabetes mellitus and its chronic complications in childrenfrom the analysis of developmental patterns and age of the patients for the substantiation of improved methods of their early diagnostics. Materials and methods. …”
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Radiation Detection—CD/DVD, Glass, and Emerging Materials for Radon Exposure Assessment by Phoka C. Rathebe, Mota Kholopo

“…This review aimed to explore advances in radon detection methods, emphasizing cost-effectiveness and accessible techniques such as CDs, DVDs, and glass-based detectors. …”
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Vision-Degree-Driven Loading Strategy for Real-Time Large-Scale Scene Rendering by Yu Ding, Ying Song

“…Experimental results demonstrate that our method reduces the rendering latency by 24–29% compared with the existing Area-of-Interest (AOI)-based loading strategy, while maintaining comparable visual quality.…”
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Understanding the Interplay of Religion and Social Policy: Challenges and Opportunities by Mohamad Ichsana Nur

“…Research methods: This research uses a qualitative approach with in-depth research methods that include positive and negative aspects of the influence of religion. …”
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Cybersecurity of smart grids: Comparison of machine learning approaches training for anomaly detection by S. V. Kochergin, S. V. Artemova, A. A. Bakaev, E. S. Mityakov, Zh. G. Vegera, E. A. Maksimova

“…The purpose of this work is to conduct research and analysis into the effectiveness of different machine-learning methods for identifying anomalies in decentralized smart networks, including cyberattacks and emergency modes, as well as to develop recommendations on the optimal combination of these methods for ensuring effective cybersecurity under conditions of changing electrical loads.Methods. …”
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PLATINUM-BASED CHEMORADIOTHERAPY AS DEFINITIVE TREATMENT IN ADVANCED SQUAMOUS CELL CARCINOMA OF HEAD AND NECK IN REAL-WORLD SETTING by Hadila da Silva Veras Sousa, Vivian Naomi Horita, Matheus Yung Perin, Daniel Naves Araújo Teixeira, Joyce Gruenwaldt, Eduardo Baldon Pereira, Carlos Takahiro Chone, Gustavo Jacob Lourenço, Ligia Traldi Macedo, Carmen Silvia Passos Lima

“…Materials and Methods: This retrospective study included 233 patients treated at the Oncology Service of the General Hospital of University of Campinas (UNICAMP). …”
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Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning by José Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, Inês Santiago, Joana Ip, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Celso Matos, Nickolas Papanikolaou, ProCAncer-I

“…Abstract Objectives To present an accurate machine-learning (ML) method and knowledge-based heuristics for automatic sequence-type identification in multi-centric multiparametric MRI (mpMRI) datasets for prostate cancer (PCa) ML. …”
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Integrating clinical predictors and glial fibrillary acidic protein in prediction models for the prehospital identification of intracerebral haemorrhage in suspected stroke by Adrian R Parry-Jones, Mohammed Almubayyidh, David A Jenkins, Edoardo Gaude

“…Clinical predictors alone achieved an optimism-corrected AUC of 0.74 (95% CI 0.60 to 0.88), while GFAP alone resulted in an optimism-corrected AUC of 0.83 (95% CI 0.69 to 0.99). …”
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Unlocking renewable energy potential: Overcoming knowledge sharing hurdles in rural EU regions on example of poland, sweden and france. by Justyna Żywiołek, Radosław Wolniak, Wieslaw Wes Grebski, Sunil Tiwari, Marek Matuszewski, Adam Koliński

“…The optimal technological choice for sustainable development lies in renewable energy sources (RES). …”
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Current Natural Degradation and Artificial Intervention Removal Techniques for Antibiotics in the Aquatic Environment: A Review by Jing Ji, Haoqing Li, Shejiang Liu

“…Future research should focus on optimizing degradation methods and creating efficient, sustainable multi-technology systems, such as the photocatalysis–membrane filtration coupling system; the ultrasound–Fenton–artificial wetland synergistic system; the electrochemical–biodegradation combined system; and the microbial fuel cell (MFC)–photocatalysis synergistic system, to tackle the complexities of antibiotic pollution in the environment.…”
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Knowledge graph construction and talent competency prediction for human resource management by Bowen Yang, Zhixuan Shen

“…Experimental results demonstrate that the proposed model outperforms traditional methods in key metrics such as Precision@10, Recall@10, NDCG@10, and CTR, while achieving broader coverage. …”
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Evaluating anti-MRSA antibiotic stewardship with a focus on trends in consumption and resistance in a tertiary hospital in Alexandria, Egypt from 2019 to 2023 by Ehab Elmongui, Adel Zaki, Amel Elsheredy, Asmaa Abd Elhameed

“…This study examines the relative consumption of Linezolid (Reserve antibiotic) versus Vancomycin and Teicoplanin (Watch antibiotics) for MRSS, comparing trends with resistance patterns to optimize antibiotic use and combat AMR. Methods This observational retrospective study analyzed trends in the consumption of Vancomycin, Linezolid, and Teicoplanin among all patients admitted to a tertiary hospital in Alexandria, Egypt from January 2019 to December 2023. …”
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A decade-long analysis of 98 chronic myeloid leukemia patients: Laboratory data and clinical progress at a single center by Nabihah Mohd Shakri, Razan Hayati Zulkeflee, Mohd Nazri Hassan, Sinari Salleh, Nur Aini Shakirah Ahmad Shuyuti, Marini Ramli, Azlan Husin, Abu Dzarr Abdullah

“…CML primarily progresses through chronic, accelerated, and blast phases. While global studies on BCR-ABL1 fusion transcript types and their associations with clinical, laboratory, and prognostic profiles exist, such data is scarce in Malaysia. …”
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