A Review of Unmanned Aerial Vehicle Based Antenna and Propagation Measurements by Venkat R. Kandregula, Zaharias D. Zaharis, Qasim Z. Ahmed, Faheem A. Khan, Tian Hong Loh, Jason Schreiber, Alexandre Jean René Serres, Pavlos I. Lazaridis

“…This paper highlights various UAV applications, from testing large–scale antenna arrays, such as those used in the square kilometer array (SKA), to evaluating channel models for 5G/6G networks. Additionally, the review discusses technical challenges, such as positioning accuracy and antenna alignment, and it provides insights into the latest advancements in portable measurement systems and antenna designs tailored for UAV use. …”
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Knowledge mapping and emerging trends in pediatric hemiplegia research: a bibliometric study spanning 1982–2025 by Xiaoli Li, Ya Guo, Lingchuan Niu

“…This bibliometric analysis aimed to evaluate research trends, collaboration patterns, and emerging topics in pediatric hemiplegia research.MethodsPublications were retrieved from the Web of Science Core Collection database spanning from 1982 to 2025. …”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…Both RNNs and state-space graphs help evaluate discrete-time systems within this formal framework. …”
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A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…Additionally, we evaluated five classical ML models for classifying the extracted patterns: (a) Support Vector Machine (SVM); (b) GaussianNB (GNB); (c) AdaBoost (ADB); (d) K-Nearest Neighbors (KNN); and (e) Random Forest (RF). …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…Soil moisture sensor networks were installed within three genetic soil horizons: Horizon A (topsoil), Horizon B (subsoil/accumulation layer), and Horizon C (parent material/saprolite). …”
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The contribution of integrated and non-integrated pig farms to epidemiological dynamics of porcine reproductive and respiratory syndrome virus in Italy by M. Ustulin, D. Vio, C. Targhetta, C. Zanon, L. Ferino, G. Faustini, G. Franzo

“…Geographical migration patterns and environmental factors influencing viral dispersal were evaluated. …”
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Multi-omics analysis reveals glutathione metabolism-related immune suppression and constructs a prognostic model in lung adenocarcinoma by Yuxiang Chi, Yuxiang Chi, Guoyuan Ma, Qiang Liu, Qiang Liu, Yunzhi Xiang, Yunzhi Xiang, Defeng Liu, Jiajun Du, Jiajun Du

“…We incorporated single-cell RNA sequencing data from LUAD to compare transcription factor activity, cell communication networks, and CD8+ T cell subset distributions across distinct GSH metabolic groups, followed by pseudotime analysis. …”
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Exploring the interplay between LDHA and ABCC1 in breast cancer using computational approach by Bader Alshehri

“…GeneMANIA and STRING databases were used to explore gene–gene and protein–protein interaction networks, while KM Plotter evaluated survival correlations. …”
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Indirect feedback as a tool for identifying academic misconduct: a cross-sectional multicentral study among medical students by Haitao Tang, Xufeng Wan, Wen Zeng

“…This method provides valuable insights into misconduct patterns and at-risk groups, enabling the development of targeted interventions. …”
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Global research trends in sarcopenia: a bibliometric analysis of exercise and nutrition (2005–2025) by Runqian Zhang, Jiaxin Wang, Huijuan Xi, Yue Cheng, Bei Han

“…CiteSpace and VOSviewer were employed to visualize research trends through analysis of annual publications, keyword evolution, journal contributions, author networks, country/regional distributions, institutional collaborations, citation patterns, and high-frequency terminology.ResultsThe analysis included 886 publications demonstrating a consistent upward trajectory in annual output. …”
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MicroRNA-1303 in cancer pathogenesis and therapy: clinical implications for biomarker development and targeted treatment strategies by Lingzi Zheng, Ling Hu, Bita Badehnoosh

“…Its expression patterns have been correlated with tumor stage, metastasis, and patient survival, suggesting promising utility in clinical decision-making. …”
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Driving factors and management strategies for water quality improvement in Fuxian Lake, China: A case study on ecological restoration and sustainable management of plateau lakes by Huimei Wang, Nuruol Syuhadaa Mohd

“…By using a mixed-methods approach that integrates 34-year monitoring data (1990–2024) with principal component analysis (PCA), Statistical trend analyses (Mann-Kendall test with Sen’s slope), combined with geospatial visualization (GIS, kriging interpolation), Correlation networks (Pearson) and constrained ordination (Redundancy Analysis, RDA), we quantified the temporal-spatial dynamics of water quality parameters (TN, TP, COD), pinpointed dominant pollution pathways, and evaluated the cumulative efficacy of policy interventions versus climatic drivers. …”
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Mapping the research landscape of PET/CT in lymphoma: insights from a bibliometric analysis by Die Zhang, Jianding Peng, Yingjie Zhu, Qiang Gong, Qing Wang, Chaodong Xiang, Hanjian Du, Xiaofei Hu

“…Using CiteSpace, VOSviewer, and Bibliometrix R, we evaluated country/institutional contributions, co-citation networks, keyword trends, and employed linear regression for trend forecasting.ResultsA total of 2,962 papers related to PET/CT and lymphoma were published during the study period. …”
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Molecular mechanism of PANoptosis and programmed cell death in neurological diseases by Ketian Hou, Wenhan Pan, Lianhui Liu, Qianqian Yu, Jiahao Ou, Yueqi Li, Xi Yang, Zhenlang Lin, Jun Hui Yuan, Mingchu Fang

“…This review systematically deciphers PANoptosome assembly mechanisms and associated cell death cascades, evaluates their pathological roles in neurological disorders through multiscale regulatory networks, and proposes PANoptosis-targeted therapeutic frameworks to advance precision neurology.…”
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Role of hypoxia-related genes and immune infiltration in intervertebral disc degeneration: molecular mechanisms and diagnostic potential by Kai Zhou, Jiaxiang Zhou, XianJin Luo, Yan Chen, Jian Ao, Wei Wu, Bo Yang, Zhongyuan He

“…Protein-protein interaction (PPI) networks were built in STRING and visualized with Cytoscape, identifying core genes with MCODE and CytoHubba. …”
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Research trends in glioma chemoradiotherapy resistance: a bibliometric analysis (2003–2023) by Shishi Yu, Jinya Wu, Yuan Jing, Ping Lin, Lang Lang, Yifan Xiong, Wangzhong Chen, Wenhua Liu, Changpeng Sun, Yuntao Lu

“…Bibliometric tools, including VOSviewer, CiteSpace, and R packages such as bibliometrix and ggplot2, were used to analyze co-authorship networks, keyword evolution, and citation bursts to identify collaboration patterns, thematic developments, and influential contributions.ResultsPublication output increased significantly between 2013 and 2022, peaking at 650 articles in 2022. …”
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A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy by Ahmed Sharafeldeen, Fatma Taher, Norah Saleh Alghamdi, Eman Alnaghy, Reham Alghandour, Khadiga M. Ali, Sameh Shamaa, Abdelrahman Gamal, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz

“…First, tumor regions are delineated across MRI modalities and then modeled using a translation-invariant Markov-Gibbs random field (MGRF) with analytical parameter estimation to capture modality-specific spatial appearance patterns correlated with NAC response. Subsequently, diffusion-weighted MRI is processed to generate apparent diffusion coefficient (ADC) maps, offering quantitative assessment of intratumoral water diffusion and cellularity. …”
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Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

“…CANet integrates Bi-directional Long Short-Term Memory (BiLSTM) networks, Multi-head Attention mechanisms, and Depthwise Separable Convolution, thereby facilitating its application in portable devices for early diagnosis. …”
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Integrated Multi-Omics Profiling Reveals That Highly Pyroptotic MDMs Contribute to Psoriasis Progression Through CXCL16 by Liping Jin, Xiaowen Xie, Mi Zhang, Wu Zhu, Guanxiong Zhang, Wangqing Chen

“…Immune cell infiltration profiles were evaluated via CIBERSORT, while cell-cell communication networks were analyzed by CellChat. …”
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Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…The model’s performance was evaluated using the standard classification metrics (accuracy, precision, recall, F1-score, and AUC). …”
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