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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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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Comparative analysis of machine learning models and explainable AI for agriculture drought prediction: A case study of the Ta-pieh mountains by Lichang Xu, Shaowei Ning, Xiaoyan Xu, Shenghan Wang, Le Chen, Rujian Long, Shengyi Zhang, Yuliang Zhou, Min Zhang, Bhesh Raj Thapa

“…The framework employs four machine learning models: Extreme Gradient Boosting (XGBoost), Random Forest (RF), Long Short-Term Memory (LSTM) networks, and Backpropagation Neural Networks (BPNN). …”
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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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A machine learning approach to identifying key predictors of Peruvian school principals' job satisfaction by Luis Alberto Holgado-Apaza, Dany Dorian Isuiza-Perez, Nelly Jacqueline Ulloa-Gallardo, Yban Vilchez-Navarro, Ruth Nataly Aragon-Navarrete, Wilian Quispe Layme, Marleny Quispe-Layme, Danger David Castellon-Apaza, Remo Choquejahua-Acero, Jaime Cesar Prieto-Luna

“…When using Generative Adversarial Networks to balance only the training set, better results were obtained in recall (0.74), precision (0.72), and F1 score (0.70). …”
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γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders by Zhong-Peng Dai, Qiang Wen, Ping Wu, Yan-Ni Zhang, Cai-Lian Fang, Meng-Yuan Dai, Hong-Liang Zhou, Huan Wang, Hao Tang, Si-Qi Zhang, Xiao-Kun Li, Jian-Song Ji, Liu-Xi Chu, Zhou-Guang Wang

“…We investigate how monitoring dynamic features of γ oscillations allows for detailed evaluations of neuromodulation effectiveness. By targeting γ oscillatory patterns and restoring healthy cross-frequency coupling, interventions may alleviate cognitive and behavioral symptoms linked to disrupted communication. …”
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Improvised Spectral Efficiency and Channel Estimation Parameters in Visible Light Vehicular Communication by Integrating Simulation of Urban Mobility Data by Ali H. Wheeb, Sudhanshu Maurya, Shaik Karimullah, Fahimuddin Shaik, Subrata Chowdhury, B. V. V. Siva Prasad, Anurag Sinha, Adamya Sood, Syed Abid Hussain

“…This paper proposes an OFDM-QAM-based VLC system to enhance spectral efficiency and improve channel estimation accuracy in vehicular networks. To achieve this, we leverage Simulation of Urban Mobility (SUMO) data, which provides detailed insights into vehicular movement and traffic patterns. …”
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Preferences for home-based care services during China’s long-term care market transition: evidence from a discrete choice experiment by Zihan Ni, Xiuyuan Zhu, Jing Guo, Shiyu Xie, Shimeng Liu, Xiaoguang Yang

“…A mixed logit model analyzed preference patterns and heterogeneity. Results For respondents, the service attitude of nursing staff (relative importance 29.59%), and the nursing program (29.30%) are of almost equal importance, followed by the monthly cost (20.62%). …”
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Deep Learning-Based Cascaded Light Source Detection for Link Alignment in Underwater Wireless Optical Communication by Bowen Jia, Wenmin Ge, Jingxuan Cheng, Zihao Du, Renming Wang, Guangbin Song, Yufan Zhang, Chengye Cai, Sitong Qin, Jing Xu

“…In this paper, deep neural networks (DNNs) with strong feature extraction capabilities are introduced to automatically learn the patterns of the light source from diverse images. …”
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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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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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Causal relationships and predictability of the summer East Atlantic teleconnection by J. Carvalho-Oliveira, J. Carvalho-Oliveira, J. Carvalho-Oliveira, J. Carvalho-Oliveira, G. Di Capua, G. Di Capua, L. F. Borchert, R. V. Donner, R. V. Donner, J. Baehr

“…<p>We apply causal effect networks to evaluate the influence of spring North Atlantic extratropical sea surface temperatures (NA-SSTs) on the summer East Atlantic (EA) pattern seasonal predictability during the period of 1908–2008. …”
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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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