Data popularity-based encrypted deduplication scheme without third-party servers by Guanxiong HA, Qiaowen JIA, Hang CHEN, Chunfu JIA

“…It is effective to balance data security and storage efficiency for setting different levels of security protection for data based on popularity in encrypted deduplication systems.Existing schemes all need introduce a trusted third-party for recording data popularity, while the third party is prone to a single point of failure and efficiency bottleneck.To address this problem, a popularity-based encrypted deduplication scheme without third-party servers was proposed, which accurately recorded the data popularity based on the Count-Min sketch algorithm and Merkle Puzzles protocol, and achieved encrypted deduplication of unpopular data through the sPAKE protocols performed among users.Security analysis and experimental evaluation show that the proposed scheme is secure and efficient.…”
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Development and validation of a model to identify polycystic ovary syndrome in the French national administrative health database by Eugénie Micolon, Sandrine Loubiere, Appoline Zimmermann, Julie Berbis, Pascal Auquier, Blandine Courbiere

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Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups by Ebtisam AlJalaud, Manar Hosny

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Large-Scale Topographic Mapping Using RTK-GNSS and Multispectral UAV Drone Photogrammetric Surveys: Comparative Evaluation of Experimental Results by Siyandza M. Dlamini, Yashon O. Ouma

“…Geometrically, the average difference in the perimeter and areas of the features from the RTK-GNSS and UAV drone topographical maps were −0.26% and −0.23%, respectively. …”
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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction by Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas

“…The federated model aggregation is optimized using hierarchical simulated annealing optimization to prioritize updates from the better-performing models. A genetic algorithm-based hyperparameter optimization method reduces the computational load on edge nodes by efficiently exploring different configurations and using only the most promising ones for edge nodes’ cross-validation. …”
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Statistical Evaluation of Smartphone-Based Automated Grading System for Ocular Redness Associated with Dry Eye Disease and Implications for Clinical Trials by Rodriguez JD, Hamm A, Bensinger E, Kerti SJ, Gomes PJ, Ousler III GW, Gupta P, De Moraes CG, Abelson MB

“…The model utilizes the DeepLabV3 architecture for image segmentation, extracting two key features—horizontality and redness. The algorithm then uses these features to predict eye redness, validated by comparison with expert grader scores.Results: The bivariate model using both redness and horizontality performed best, with a Mean Absolute Error (MAE) of 0.450 points (SD=0.334) on the redness scale relative to expert scores. …”
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Educational Technologies in Modern Higher Education Institutions (Analysis of Russian and Foreign Research and Practice) by N. V. Bordovskaia, E. A. Koshkina, N. A. Bochkina

“…It has been established that Russian authors are still more oriented towards describing the characteristics and algorithms of predominantly traditional educational technologies and their applicability, evaluating their effectiveness through influencing students’ professional and personal development and competent communication. …”
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Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study. by Stephanie Archer, Chantal Babb de Villiers, Fiona Scheibl, Tim Carver, Simon Hartley, Andrew Lee, Alex P Cunningham, Douglas F Easton, Jennifer G McIntosh, Jon Emery, Marc Tischkowitz, Antonis C Antoniou, Fiona M Walter

“…<h4>Background</h4>There is a growing focus on the development of multi-factorial cancer risk prediction algorithms alongside tools that operationalise them for clinical use. …”
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Research on prediction of bottom hole flowing pressure for vertical coalbed methane wells based on improved SSA-BPNN by YU Yang, DONG Yintao, LI Yunbo, BAO Yu, ZHANG Lixia, SUN Hao

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BLACK HUMOUR: ORIGIN DESCRIPTION AND AN ATTEMPT OF IDENTIFICATION by Iryna A. Blynova.

“…Typical means at the syntactic level are overinterrogations and explanations based on repetitions with an evaluation of what was heard. This evaluation is expressed by declarative, exclamatory or interrogative sentences. …”
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Overcoming negative weighting in uncertainty-based methods: a multi-uncertainty clustering method for evidence fusion by Zhike Qiu, Yuhao Qin, Zichong Chen, Luping Zeng, Rui Cai

“…Furthermore, this research designs a composite weight that combines cluster weight with similarity weight, providing a comprehensive evaluation of evidence reliability from both macro-level category differences and micro-level similarity dimensions. …”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

“…The objective of this study was to assess the feasibility of using shotgun sequencing data as input into anomaly detection algorithms using fluid milk as a model system. Contrastive principal component analysis (PCA), cluster-based methods, and explainable artificial intelligence (AI) were evaluated for the detection of two anomalous sample classes using longitudinal metagenomic profiling of fluid milk compared to baseline (BL) samples collected under comparable circumstances. …”
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Evaluation of the Effectiveness of Pulsed Ultraviolet Devices in Medical Premises of the Emergency Department of a Hospital Under Conditions of Intensive Patient Flow by B. L. Kurilin, N. E. Drozdova, A. Yu. Perminov, E. V. Kislukhina, Ya. V. Kulikova, N. S. Fomenko, A. V. Shapoval, V. I. Drozdova, A. R. Samarin

“…Preventive disinfection of work surfaces was carried out after each patient by wiping with the use of approved products.The experimental premises were treated according to a single standard algorithm, including treatment with the Installation.To collect microbiological swabs, sampling points were defined in the studied premises (4 in each). …”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. …”
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An Exploratory Research to Evaluate the 30 Most Common Pulmonary Embolism Drugs in the Food and Drug Administration Adverse Event Reporting System by Hang Chen, Yiming Shen, Yinyu Mu, Shuguang Xu, Shimo Shen, Weiyu Shen, Zeyang Hu, Hongxiang Li, Keyue Qiu, Jiaheng Zhang, Zhe Chen, Guodong Xu

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Meningococcal Vaccination in High-Risk Patients: A Systematic Approach to Evaluating Coverage and Patient Catch-Up Through Healthcare Databases by Rafael Ruiz-Montero, Álvaro Serrano-Ortiz, Mario Rivera-Izquierdo, Piedad Galvache Murillo-Rico, Ana Moñiz-Díez, María Ángeles Onieva-García, Eloy Girela-López, Inmaculada Salcedo-Leal

“…Our methodology can serve to identify patients in other regions and for different vaccines.…”
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Beyond Precision and Recall: Measuring Search Engine Consistency Using Rank Stability by Krishnan Batri, Rajermani Thinakaran, S. Lakshmi, R. Sowrirajan, Sivaram Murugan

“…Our three-component approach (Roverlap, Rnon-overlap, and Rcomprehensive) provides multidimensional insights into ranking variations. Experimental evaluation across Google and Bing using diverse query types reveals significant performance differences: Bing demonstrates superior ranking stability (minimum Roverlap of 0.0527), while Google exhibits considerable fluctuation (Rnon-overlap reaching 0.3653), especially for high-volume queries. …”
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Intelligent Network Selection Mechanisms in the Internet of Everything System by Indrasen Singh, Meenakshi Munjal

“…In the Internet of Everything (IoE) ecosystem, it is necessary for connected devices to move between different access points seamlessly. As IoE is deployed in diverse environments, such as smart cities, industrial settings, and vehicular networks, ensuring reliable connectivity and uninterrupted services across different networks becomes important. …”
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Solar Irradiance Prediction Method for PV Power Supply System of Mobile Sprinkler Machine Using WOA-XGBoost Model by Dan Li, Jiwei Qu, Delan Zhu, Zheyu Qin

“…The prediction accuracy and stability of the proposed method are then evaluated for different input parameters through training and testing. …”
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Bayesian Inference for Zero-Modified Power Series Regression Models by Katiane S. Conceição, Marinho G. Andrade, Victor Hugo Lachos, Nalini Ravishanker

“…Additionally, we introduce a measure of Bayesian efficiency to evaluate the impact of prior information on parameter estimation. …”
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