A novel dataset and deep learning object detection benchmark for grapevine pest surveillance by Giorgio Checola, Paolo Sonego, Roberto Zorer, Valerio Mazzoni, Franca Ghidoni, Alberto Gelmetti, Pietro Franceschi

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Associations between anthropometric indices and biological age acceleration in American adults: insights from NHANES 2009–2018 data by Xinyun Chen, Xia Chen, Fangyu Shi, Wenhui Yu, Chang Gao, Shenju Gou, Ping Fu

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System aspects of management technology for scientific and educational services by A. A. Zatsarinnyy, A. P. Shabanov

“…Research purpose: to develop the technology of operational-technical management of scientific and educational services. …”
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Open-Source Data Logger System for Real-Time Monitoring and Fault Detection in Bench Testing by Marcio Luís Munhoz Amorim, Jorge Gomes Lima, Norah Nadia Sánchez Torres, Jose A. Afonso, Sérgio F. Lopes, João P. P. do Carmo, Lucas Vinicius Hartmann, Cicero Rocha Souto, Fabiano Salvadori, Oswaldo Hideo Ando Junior

“…This PoC system leverages open-source technology to provide a cost-effective and versatile solution for both research and practical applications. Initial laboratory tests validate its feasibility for real-time data acquisition and highlight its potential for creating datasets to support advanced diagnostic algorithms. …”
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Comprehensive analysis of phagocytosis regulatory genes in bladder cancer: implications for prognosis and immunotherapy by Xueming Ma, Xueming Ma, Xueming Ma, Dongnuan Yao, Dongnuan Yao, Dongnuan Yao, Weitao Yu, Weitao Yu, Weitao Yu, Gongping Wu, Gongping Wu, Gongping Wu, Chengwei Fan, Chengwei Fan, Chengwei Fan, Junqiang Tian, Junqiang Tian, Junqiang Tian

“…Phagocytosis regulatory genes (PRGs) are involved in regulating the immune response against tumor cells, and in-depth research on them in bladder cancer is extremely urgent.MethodsMulti-omics data from the TCGA and GEO databases were integrated, and strict data preprocessing was carried out. …”
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RETRACTED: CARDIOMETABOLIC DISORDERS AND UROLITHIASIS: PATHOGENESIS OF COMORBIDITY by G. G. Sharvadze, A. К. Kerimov, М. N. Mamedov

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From Physically Based to Generative Models: A Survey on Underwater Image Synthesis Techniques by Lucas Amparo Barbosa, Antonio Lopes Apolinario

“…Given the complexity of capturing data from the sea and the large variability of environmental components (depth, distance, suspended particles, turbidity, etc.), synthesized underwater scenes can provide relevant data to improve image processing algorithms and computer vision tasks. The main goal of this survey is to summarize techniques to underwater image synthesis, their contributions and correlations, and to highlight further directions and opportunities in this research domain.…”
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Epigenetic modifications of cfDNA in liquid biopsy for the cancer care continuum by Jodie Wong, Rohit Muralidhar, Liang Wang, Chiang-Ching Huang

“…It advocates for the integration of multi-omic data through machine learning algorithms to refine predictive models and stresses the importance of collaboration among clinicians, researchers, and data scientists. …”
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Prediction of Ground Subsidence Risk in Urban Centers Using Underground Characteristics Information by Sungyeol Lee, Jaemo Kang, Jinyoung Kim

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Nature Conservation and Sustainable Tourism in a Former Baltic Sea Coastal Military Area by Egidijus Jurkus, Julius Taminskas, Arvydas Urbis, Ramūnas Povilanskas

“…The results of our study show that combining the GIS interpretation algorithms, supported by the innovative conjoining of DPSIR and Delphi analytical tools, ensures site-tailored integrated management of the linear waterfront and the areal hinterland.…”
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Socioeconomic and Cultural Determinants of the Development of Artificial Intelligence by Sorin Paul Lazăr, Iustin Atanasiu Pop, Maria Mortan

“…The main results indicate highly significant effects of GDP per capita, its growth rate, research and development funding, and the degree of urbanisation. …”
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The Improvement of Energy Harvesting Efficiency of Constant Current Source by Martynyuk V.V., Kosenkov V.D., Fedula M.V.

“…The problem of the maximum photovoltaic module of energy harvesting is related to the research of its nonlinearity, which determines operating points at the current-voltage curves under different irradiances and temperatures. …”
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The good, the better and the challenging: Insights into predicting high-growth firms using machine learning by Sermet Pekin, Aykut Şengül

“…This study aims to classify high-growth firms using several machine learning algorithms, including K-Nearest Neighbors, Logistic Regression with L1 (Lasso) and L2 (Ridge) Regularization, XGBoost, Gradient Descent, Naive Bayes and Random Forest. …”
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Drone-assisted climate-smart agriculture (DACSA): A spatially-based outcome prediction model as an initial approach to track yield changes in shallot planting areas

“…With this goal in mind, a research project was undertaken to develop a spatial model capable of providing real-time notifications on changes in plant yield and location. …”
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The Disaggregation of Platform Labor: Theorizing Skin Tone Work in the Black Influencer Beauty Economy by Ta’Les Love

“…I also suggest that they must combat these biases while simultaneously presenting themselves as marketable to cosmetics companies, viewers, and platform algorithms. This research study uses methodological triangulation through critical technocultural discourse analysis, thematic analysis, and autoethnography to analyze the beauty content of two prominent Black influencers—both advocates against colorism. …”
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Neutrosophic Fuzzy Power Management (NFPM): Tackling Uncertainty in Energy Harvesting for Sensor Networks by Musallam M. AlZubi, Mohamed A. Mohamed, Hanan M. Amer, A. A. Salama

“…Future research directions include exploring the integration of NFPM with machine learning algorithms for predictive energy management, assessing its scalability in larger networks, and examining its applicability in other domains requiring energy management under uncertainty.…”
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From Tweets to Trades: A Bibliometric and Systematic Review of Social Media’s Influence on Cryptocurrency by Sheela Sundarasen, Farida Saleem

“…Using the bibliometric analysis, 151 peer-reviewed articles published between 2018 and 2024 were analyzed to identify key research trends, themes, and potential future research. …”
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Correlations between blood group and Rh factor in families and autism spectrum disorder: A comprehensive analysis by Adil Abdul-Rehman Siddiq Al-Salihy

“…Using chi-square tests, logistic regression analysis, and machine learning algorithms, the findings revealed that the O + blood group was the most prevalent across all groups. …”
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LED-Based Optical Wireless Power Transmission for Automatic Tracking and Powering Mobile Object in Real Time by Mingzhi Zhao, Tomoyuki Miyamoto

“…This research proposes an optical wireless power transmission (OWPT) system utilizing light-emitting diodes (LED) to enable real-time automatic charging for mobile devices. …”
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A Review of Discrete Element Method Applications in Soil–Plant Interactions: Challenges and Opportunities by Yuyuan Tian, Zhiwei Zeng, Yuan Xing

“…The review also identifies key future research directions, including the incorporation of environmental factors such as air and water, and the exploration of residue management for carbon storage and erosion prevention. …”
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