An algorithm for infectious screening of corneal donors in eye tissue bank of the Fyodorov Eye Microsurgery Federal State Institution by S.A. Borzenok, M.Yu. Gerasimov, Yu.A. Komakh, M.Kh. Khubetsova, H.D. Tonaeva, L.M. Malikova, P.I. Plaksa

“…In opposite, the EEBA data demonstrated far lower rates of inconclusive tests. …”
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Construction and Performance Evaluation of a Flow Meter Based on Thermal Pulse to Measure Plant Sap Flow in Vascular Tissues by M. Teimorzadeh, J. Baradaran Motie, A. Rohani, Y. Selahvarzi

“…The device comprises measuring probes, a processing unit, and a data logger. For a comprehensive evaluation, device probes were positioned on the trunk of a Ficus benjamina tree within a controlled environment at two distinct heights. …”
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Assessment of Water Resources Carrying Capacity Based on Principal Component Analysis and System Dynamics: A Case Study of Qingyang City by WANG Qian, YUAN Bo, WU Jian, LIU Wen-shi, WU Yan

“…[Methods] A dynamic-static analytical framework combining principal component analysis (PCA) and system dynamics (SD) modeling was applied, with Qingyang City in Gansu Province—an area relatively short on water resources—as the study area. First, using data from 21 indicators from 2012 to 2022, PCA was used to extract principal components (cumulative variance contribution rate >85%) to establish a comprehensive evaluation system for water resources carrying capacity and identify key influencing factors. …”
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Smartphone-based machine learning model for real-time assessment of medical kidney biopsy by Odianosen J. Eigbire-Molen, Clarissa A. Cassol, Daniel J. Kenan, Johnathan O.H. Napier, Lyle J. Burdine, Shana M. Coley, Shree G. Sharma

“…Unfortunately, there has been a concerning increase in the rate of inadequate kidney biopsies, and not all medical centers have access to trained professionals who can assess biopsy adequacy in real time. …”
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SOYBEAN PRODUCTION TRENDS IN THE WORLD, EUROPEAN UNION AND ROMANIA by Agatha POPESCU

“…The processing was based on growth rate, trend line regressions, R square, food balance, self sufficiency rate (SSR), comparisons etc. …”
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Noise Suppression in Quadrature Phase-Shift-Keying-Oriented All-Optical Matching Systems Using Highly Nonlinear Fiber by Xin Li, Feiyang Ruan, Ying Tang, Tenglin Gao, Shanguo Huang

“…All-optical matching systems that detect and localize designated target sequences in input all-optical data sequences have attracted significant attention in all-optical processing. …”
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Plant Waste Drying in an Isothermal Model by M. G. Zagoruyko, I. A. Bashmakov, K. A. Stepanov

“…This observation implies that the process is occurring as the drying rate decreases. …”
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Research on Lightweight Dynamic Security Protocol for Intelligent In-Vehicle CAN Bus by Yuanhao Wang, Yinan Xu, Zhiquan Liu, Suya Liu, Yujing Wu

“…To address these issues, we propose an improved dynamic compression algorithm that achieves higher compression rates and efficiency by optimizing header information processing during data reorganization. …”
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Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure by Xiaoqing Wang, Zhantao Zhang, Yujie Jiang, Kuanhao Liu, Yafei Li, Xuri Yao, Zixu Huang, Wei Zheng, Jingqi Zhang, Fu Zheng

“…And, the algorithm is at the leading edge in terms of performance; the processing frame rate can reach 3051 FPS (frame per second), 96 FPS, and 54 FPS for image data with a resolution of 256 × 256, 1920 × 1080, and 2560 × 1440, respectively.…”
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Machine learning for predicting the outcomes and risks of cardiovascular diseases in patients with hypertension: results of ESSE-RF in the Primorsky Krai by V. A. Nevzorova, N. G. Plekhova, L. G. Priseko, I. N. Chernenko, D. Yu. Bogdanov, M. V. Mokshina, N. V. Kulakova

“…A software application was created for data mining from respondent profiles in a semi-automatic mode; libraries with data preprocessing were analyzed. …”
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A prediction model for 30-day mortality in patients with ARDS admitted to the intensive care unit by Fengjuan Jia, Guodong Xia, Lirong Hu, Fanjie Zhang, Yuexi Huang, Chaobing Yang, Li Liu, Xianying Lei

“…After processing these data, we performed correlation analysis between various types of variables and plotted a heat map to visualize the significance of these correlations. …”
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Fluid Dynamics Analysis of Coherent Jet with a Mixed Shrouding H₂-CO₂/N₂ for EAF Steelmaking by Songtao Yan, Fuhai Liu, Rong Zhu, Guangsheng Wei, Kai Dong

“…The <i data-eusoft-scrollable-element="1">F<sub data-eusoft-scrollable-element="1">o-a</sub></i>, theoretical impaction depth and area generated by the 10% N<sub data-eusoft-scrollable-element="1">2</sub> shrouding mixed rate was 84.0, 95.5 and 86.4% of those generated by the traditional coherent jet, respectively, which indicated that the 10% N<sub data-eusoft-scrollable-element="1">2</sub> shrouding mixed rate method might lead to comparable production indexes in the EAF steelmaking process.…”
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Relation between speech-in-noise threshold, hearing loss and cognition from 40-69 years of age. by David R Moore, Mark Edmondson-Jones, Piers Dawes, Heather Fortnum, Abby McCormack, Robert H Pierzycki, Kevin J Munro

“…Objective hearing (spoken digit recognition in noise) and cognitive (reasoning, memory, processing speed) data were analysed using logistic and multiple regression methods. …”
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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Correlation of friction coefficients and wear rates of copper/aluminum-graphite (Cu/Al-graphite) self-lubricating composites with their inherent material properties (composition, lubricant content, particle size, processing process, and interfacial bonding strength) and the variables related to the testing method (normal load, sliding speed, and sliding distance) were analyzed using traditional approaches, followed by modeling and prediction of tribological properties through five different ML algorithms, namely support vector machine (SVM), K-Nearest neighbor (KNN), random forest (RF), eXtreme gradient boosting (XGBoost), and least-squares boosting (LSBoost), based on the tribology experimental data. …”
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Mortality in the Volgograd Region Against the COVID-19 Pandemic by A. V. Alpatov

“…Estimation of excess mortality was carried out taking into account the dynamics of age-specific mortality rates.Materials and methods. The main sources of information for the study of mortality were the Russian database on fertility and mortality and Rosstat data. …”
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Reaching the pinnacle of high-capacity optical transmission using a standard cladding diameter coupled-core multi-core fiber by Menno van den Hout, Ruben S. Luís, Benjamin J. Puttnam, Giammarco Di Sciullo, Tetsuya Hayashi, Ayumi Inoue, Takuji Nagashima, Simon Gross, Andrew Ross-Adams, Michael J. Withford, Lauren Dallachiesa, Nicolas K. Fontaine, Roland Ryf, Mikael Mazur, Haoshuo Chen, Jun Sakaguchi, Cristian Antonelli, Chigo Okonkwo, Hideaki Furukawa, Georg Rademacher

“…Abstract Data rates in optical networks have grown exponentially in recent decades and are expected to grow beyond the fundamental limits of current standard single-mode fiber networks. …”
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Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review by Wagner Martins dos Santos, Lady Daiane Costa de Sousa Martins, Alan Cezar Bezerra, Luciana Sandra Bastos de Souza, Alexandre Maniçoba da Rosa Ferraz Jardim, Marcos Vinícius da Silva, Carlos André Alves de Souza, Thieres George Freire da Silva

“…Based on inclusion and exclusion criteria, the search resulted in 590 articles, of which 463 were filtered for duplicates and 238 were selected after screening. An analysis of the data revealed an annual growth rate of 35.50% in the production of articles, evidencing the growing interest in the theme. …”
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Adaptive distributed honeypot detection network for enhanced cybersecurity against DoS and DDoS attacks by V. Selva Kumar, K.R. Mohan Raj, S. Gopalakrishnan, G. Vennila, D. Dhinakaran, P. Kavitha

“…ADHDN achieves a true positive rate of 99.7% for protocol-level attacks, 99.4% for application-level attacks, and 97.5% for data volume attacks under low attack volumes, maintaining robust performance even as attack intensity scales. …”
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Deep learning model optimization for crop prediction and recommendation using Harris Hawks optimization by P Latha, Kumaresan P

“…HHO was employed to optimize and achieving 100% accuracy for crop prediction. the deep learning models, such as Bi-LSTM achieved the best performance with an accuracy of 90.23%, precision of 90.66%, recall of 90.22%, and f1-score of 90.01%, excelling in capturing bidirectional dependencies in temporal data. The RNN demonstrated solid results with 84.01% accuracy, 87.82% precision, 84.01% recall, and an f1-score of 81.91%, proving its strength in sequential data processing. …”
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Situation analysis of gum Arabic producers associations (GAPAs) under IAMDP, Sudan by Muneer Elyas Siddig Eltahir, Faisal Ismail Musa, Elmugheira Mockarram Ibrahim Mohammed, Ahmed Abdallah Adam Mohamed

“…Based on these findings, it is recommended to increase the training and capacity-buildings programs for GAPAs to improve adoption rate across the production, processing, and marketing value chains, while sustainably supporting the targeted GAPs and GAPAs.…”
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