Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…Using the Deep Q-Network (DQN) algorithm, the system identifies optimal defensive strategies through multidimensional data interactions. …”
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Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems by Muhammad Asad, Giulia Tresca, Pericle Zanchetta, Jose Angel Sanchez-Fernandez

“…Results show the significant reduction in frequency deviation, optimal sizing of BESS and optimal tuning of the whole WDPS.…”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…A Hybrid Policy Derivation Algorithm is introduced to balance encryption complexity and computational overhead by dynamically switching between these learning models. …”
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Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…The result reveals a 16.44% reduction in pitch natural frequency compared to the V-shaped floater. …”
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Assimilating multi-site eddy-covariance data to calibrate the wetland CH₄ emission module in a terrestrial ecosystem model by J. T. Kallingal, M. Scholze, P. A. Miller, J. Lindström, J. Rinne, M. Aurela, P. Vestin, P. Weslien

“…<p>In this study, we use a data assimilation framework based on the adaptive Markov chain Monte Carlo (MCMC) algorithm to constrain process parameters in LPJ-GUESS model using <span class="inline-formula">CH₄</span> eddy-covariance flux observations from 14 different natural boreal, temperate, and arctic wetlands. …”
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Obstetrical and perinatal pathology in women with risk of preterm labor by A. A. Shevchenko

“…The effectiveness of the premature birth risk treatment of the main group patients shows not only the improvement of this complication clinical symptoms and satisfactory functional state of feto-placental complex, but also reduction the percentage of early preterm birth, and as a consequence, decrease in severe perinatal morbidity. …”
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Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions by Zhouquan Liao, Xiaohua Ding, Mingzhi Liang, Jiangfeng Li, Zhongao Yang, Xin Liu, Bin Li, Yan Zhang

“…Using the LS-DYNA software’s fluid–solid coupling algorithm, the effects of charge structure, explosive type, intermediate medium, and hole spacing parameters on blasting results are analyzed. …”
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Spironolactone Reduces the Risk of Death in Veterans With Heart Failure With Preserved Ejection Fraction by Katherine E. Kurgansky, Rachel Parker, Luc Djousse, David R. Gagnon, Jacob Joseph

“…After multivariable adjustment, there was a 21% reduction (95% CI, 13–29; P<0.0001) in rate of all‐cause death among spironolactone users compared with nonusers and no statistically significant difference in days hospitalized for all causes or heart failure. …”
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LIVER EXPLANATION TECHNOLOGY OPTIMIZATION by Александр Сергеевич Разумов, Григорий Валерьевич Вавин, Алексей Владимирович Будаев, Игорь Александрович Радионов, Ольга Дмитриевна Сидорова, Е. Е. Ставицкий, Дарья Александровна Раева, Ф. А. Будаев, Вадим Гельевич Мозес

“…Experimental testing of the developed liver explantation algorithm showed a decrease in the laboriousness and invasiveness of the operation, which was expressed in a reduction in the time of its implementation and in a decrease in morphological changes in the transplants during subsequent prolonged static hypothermic preservation.…”
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Vitamin C improves 28-day survival in patients with sepsis-associated acute kidney injury in the intensive care unit: a retrospective study by Yang He, Jinglan Liu

“…After adjusting for confounders via Cox regression, the vitamin C group demonstrated a 17% reduction in in-hospital mortality risk (adjusted hazard ratio [aHR] 0.67, 95% CI: 0.57–0.79; p &lt; 0.001). …”
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FinSafeNet: securing digital transactions using optimized deep learning and multi-kernel PCA(MKPCA) with Nyström approximation by Ahmad Raza Khan, Shaik Shakeel Ahamad, Shailendra Mishra, Mohd Abdul Rahim Khan, Sunil Kumar Sharma, Abdullah AlEnizi, Osama Alfarraj, Majed Alowaidi, Manoj Kumar

“…Besides tackling feature selection and dimensionality reduction, the model presents advanced correlation measures as well as Joint Mutual Information Maximization to enhance variable correlation analysis. …”
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Severity Scale of Diabetic Macular Ischemia Based on the Distribution of Capillary Nonperfusion in OCT Angiography by Miyo Yoshida, MD, Tomoaki Murakami, MD, PhD, Keiichi Nishikawa, MD, Kenji Ishihara, MD, PhD, Yuki Mori, MD, PhD, Akitaka Tsujikawa, MD, PhD

“…Conclusions: The application of dimensionality reduction and clustering has facilitated the development of a novel severity scale for DMI based on the distribution of capillary nonperfusion in OCTA images. …”
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Optimization of microwave-assisted polyphenol extraction and antioxidant activity from papaya peel using response surface methodology and artificial neural network by Md. Waziur Rahman Chy, Tanvir Ahmed, Junaid Iftekhar, Md. Zohurul Islam, Md. Rahmatuzzaman Rana

“…An additional optimization approach (RSM-DF: TPC = 955 mgGAE/100 g, and DPPH = 90 %), aimed at minimizing MWP, I-time, EtOH%, and S/S while maximizing TPC and DPPH activity, showed a significant reduction of approximately 3 L in ethanol consumption for each 100 g of dry samples. …”
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Digital Technology of Assesment the Power Capacity of Tractor Fleet of an Agricultural Enterprise by V. V. Alt, O. F. Savchenko, O. V. Elkin

“…The proposed technology and diagnostics device are recommended for use by agricultural enterprises as an operating control instrument of the power supply of fi eld works to ensure the efficient operation of the tractor fl eet and provide for cost reduction.…”
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A Bridge Deflection Monitoring System Based on CCD by Baohua Shan, Lei Wang, Xiaoyang Huo, Wenting Yuan, Zhilin Xue

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Frequency Regulation Provided by Doubly Fed Induction Generator Based Variable-Speed Wind Turbines Using Inertial Emulation and Droop Control in Hybrid Wind–Diesel Power Systems by Muhammad Asad, José Ángel Sánchez-Fernández

“…To achieve such goals, we used the above-mentioned proposed controls (EI&P and PC) and optimally tuned them using the Student-Psychology-Based Algorithm (SPBA). The effectiveness of this algorithm is in its ability to provide the best optimum controller gain combinations of the proposed control loops. …”
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OPTIMIZATION PROBLEM FOR NUMBER OF LOGIC GATES NEEDED TO IMPLEMENT MULTIPLE BOOLEAN FUNCTIONS USING DECODER by M. Onai, H. Skopyk

“…Among them, the greedy algorithm is chosen for its simplicity in program implementation. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…In this study, we comprehensively utilize LWD parameters (six types, including natural gamma and electrical resistivity, etc.) and drilling engineering parameters (four types, including drilling rate and weight on bit, etc.) from offset wells. The UMAP algorithm is employed for nonlinear dimensionality reduction, which not only integrates the dynamic response characteristics of drilling parameters but also preserves the sensitivity of logging data to lithological variations. …”
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Characterization of Cuproptosis-Related LncRNAs Prognostic Signature and Identification of LINC02285 as a Novel Biomarker for Ovarian Cancer by Lei H, Zhou Z, Liu C, Chen W, Li Y, Shu G, Wang M, Guo K, Pan Q, Yin G

“…ROC curve analysis further validated the predictive capacity of the signature. Additionally, the low-risk group had a favorable prognosis associated with a protective immune microenvironment and a better response to targeted drugs. …”
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Early Detection of Soil Salinization by Means of Spaceborne Hyperspectral Imagery by Giacomo Lazzeri, Robert Milewski, Saskia Foerster, Sandro Moretti, Sabine Chabrillat

“…Both datasets were pre-processed with multiple data transformation algorithms and 2D correlograms, PLSR and the Random Forest regressor were tested to identify the best model for salinity detection. …”
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