Nutritional vulnerabilities among Rohingya refugee children in Cox’s Bazar: a cross-sectional analysis by Zannat Akter, Md. Monir Hossain Shimul, Md. Kamrul Hossain, Salamat Khandker

“…A total of 402 respondents were approached using convenience sampling, with 384 valid responses analyzed and all respondents were mothers of the children aged 0–59 months, aged 15–45 years. Dietary patterns were evaluated using structured interviews that captured infant feeding practices including colostrum feeding, exclusive breastfeeding, feeding frequency, and food types. …”
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La dislocazione a sinistra con funzione fraseologica e pragmatica nel Narrenschiff di Sebastian Brant by Elena Di Venosa

“… Left dislocation and hanging topic are sentence structures frequently occurring in contemporary German spoken language. …”
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Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…These missing data can severely impact the accuracy of structural health assessments, thereby affecting maintenance decisions and operational safety. …”
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RNAO’s Artificial Intelligence Innovations: A Novel Strategy to Advance Evidence-Based Nursing Practice by Naik, Shanoja, Grinspun, Doris

“…Artificial intelligence and machine learning methodologies, such as prediction, pattern recognition, or general inference based on the data used in clinical aspects, must fit within the intended purposes of developing it. …”
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Early Diabetic Retinopathy Detection from OCT Images Using Multifractal Analysis and Multi-Layer Perceptron Classification by Ahlem Aziz, Necmi Serkan Tezel, Seydi Kaçmaz, Youcef Attallah

“…With the evolution of medical imaging technologies, Optical Coherence Tomography (OCT) has emerged as a valuable modality for capturing high-resolution cross-sectional images of retinal structures. In parallel, machine learning has shown considerable promise in supporting early disease recognition by uncovering complex and often imperceptible patterns in image data. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…The proposed method demonstrated superior performance across all evaluation metrics compared to previous methods. …”
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Empirical evidence for a process-based model of health-related quality of life using network analysis by Nicolette Stogios, Nicolette Stogios, Troy Francis, Troy Francis, Rachel G. Peiris, Aleksandra Stanimirovic, Aleksandra Stanimirovic, Valeria Rac, Valeria Rac, Robert P. Nolan, Robert P. Nolan

“…While contemporary assessments are structured to evaluate an individual's HRQL state, we propose a complementary process-based model, which is defined as an appraisal that evolves over time as it reflects and informs a self-regulatory process of adapting to dynamic changes in bio-psycho-social life domains. …”
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“Relative symmetry with electronegativity of different key-groups” strategy for MRGPRX2 antagonist design and its effect on antigen-induced pulmonary inflammation by Jiayu Lu, Zhaomin Xia, Yongjing Zhang, He Wang, Wen Yang, Siqi Wang, Nan Wang, Yun Liu, Huaizhen He, Cheng Wang, Langchong He

“…In summary, the “relative symmetry with electronegativity of different key-groups” strategy provided a drug design pattern for MRGPRX2 antagonists and identified promising antiallergic precursors for AIPI treatment.…”
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A Comprehensive Survey of Research Trends in mmWave Technologies for Medical Applications by Xiaoyu Zhang, Chuhui Liu, Yanda Cheng, Zhengxiong Li, Chenhan Xu, Chuqin Huang, Ye Zhan, Wei Bo, Jun Xia, Wenyao Xu

“…We introduce a taxonomy that decouples low-level mmWave signal features—such as motion, material property, and structure—from high-level biomedical biomarkers, including respiration pattern, heart rate, tissue hydration, and gait. …”
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Population-based spectral characteristics of normal interictal scalp EEG inform diagnosis and treatment planning in focal epilepsy by Neeraj Wagh, Andrea Duque-Lopez, Boney Joseph, Brent Berry, Lara Jehi, Daniel Crepeau, Leland Barnard, Venkatsampath Gogineni, Benjamin H. Brinkmann, David T. Jones, Gregory Worrell, Yogatheesan Varatharajah

“…We decomposed expertly graded normal EEGs (N = 6,242) using unsupervised tensor decomposition to extract the dominant spatio-spectral patterns present in a clinical population. We then, using the independent cohort of patients with focal epilepsy, evaluated whether pattern loadings of normal interictal EEG segments could classify focal epilepsy, the epileptogenic lobe, presence of lesions, and drug response. …”
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Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach by Maryam Abbasalizadeh, Sashank Narain

“…Additionally, the generated model trained on patterns derived from synthetic data, achieved <inline-formula> <tex-math notation="LaTeX">$\approx 99.99$ </tex-math></inline-formula>% accuracy when evaluated on a real-world dataset across varying sentence structures, demonstrating strong generalizability in detecting sensitive information regardless of the data source. …”
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Assessment on drag force distribution of a semi-submersible truss fish cage in currents by Hang-Fei Liu, Xiaohua Huang, Guoliang Pang, Gen Li, Taiping Yuan, Yu Hu, Qiyou Tao, Qiyou Tao

“…Assessing the current forces exerted on a semi-submersible truss fish cage is crucial for understanding drag force distribution and ensuring the structural safety. The present study employs computational fluid dynamics (CFD) methods and porous media theory to predict the drag forces on a semi-submersible truss fish cage, providing a detailed description of the magnitude and distribution patterns of drag forces on the plane nets, pontoons, columns, and braces. …”
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Bioinformatic Analysis of C1GALT1 in Cancer: Insights Into Prognosis, Metastasis and Therapeutic Potential by Ecem Kalemoglu, Ayse Caner

“…ABSTRACT Background This study evaluates the expression, regulation, and clinical relevance of C1GALT1, a key enzyme in mucin‐type O‐glycosylation, across a broad spectrum of human cancers. …”
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The Role of Pulmonary Genetic Variations in the Pathogenesis of Pediatric Postinfectious Bronchiolitis Obliterans by Sedef Narin Tongal, Gülsüm Kayhan, Özge Yılmaz, Merve Öçalan, Hasan Yüksel

“…The most prevalent finding on thoracic CT was a mosaic pattern. In all but one, a wide range of variations genes related to both pulmonary structure and function were identified. …”
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Promotion or inhibition? Exploring the influence of the digital economy on urban-rural integration: A case study of yellow River basin by Mingxi Zhou, Fuyou Guo, Yongsheng Sun, Jiamin Ren, Xuebo Zhang

“…Based on this, a scientifically constructed performance evaluation indicator system for the digital economy and urban-rural integration was developed. …”
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Analysis of urban growth effects on Land Surface Temperature (LST) increase using GIS: A case study of Chelghoum El Aïd city (1984-2024) by Zaari Achouak, Djeffal Djafar

“…The research employs across-evaluation of Land Surface Temperature (LST) and the Normalized Difference Vegetation Index (NDVI), utilizing satellite imagery spanning the period from 1984 to 2024. …”
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Eco-Printing Technique of Mimosa Tanned Sheepskin at Different Temperatures on Fastness and SEM of Tanned Leather by Elisa Nirmalawati, Ambar Pertiwiningrum, Mohammad Zainal Abidin

“…This study aimed to evaluate the quality of sheepskin after the tanning process using mimosa and to analyze the microscopic structure of mimosa-tanned sheepskin that had been eco-printed. …”
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Cooperator and Defector-Based Dynamic Community Detection in Social Networks by Hui Jiang, Chenlin Zhao, Zhexi Guo, Tangyu Wang

“…By integrating interaction-based data, the model enhances the accuracy of dynamic community detection, revealing hidden patterns and relationships beyond structural analysis. …”
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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis by ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

“…We also evaluated the predictive power of these linguistic features using machine learning and identified key thematic structures through semantic network analysis. …”
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Clinicoradiological profile of children presenting with global developmental delay and microcephaly by ShreyasT.S. Phayde, Suneel C. Mundkur, Rochelle A. Pereira, Leslie E. Lewis, Shrikiran A. Hebbar, Ramesh Bhat Y, Pushpa Kini, Karen J. Moras

“…Objective: To study the clinical and radiological profile of children with Global developmental delay and microcephaly and correlate the clinical findings with structural brain lesions identified through neuroimaging. …”
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