Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects by Zhiyuan Wu, Haizheng Wang, Guohua Fang, Jian Ye, David Z. Zhu, Xianfeng Huang

“…This framework incorporates joint and updated optimizations to address challenges posed by the time delay effect. …”
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Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model by Can Qin, Bo Liang, Jia'an Niu, Jinghang Xiao, Shuangkai Zhu, Haonan Long

“…In this study, the physical quantities of lighting environment and the psychophysiological quantities (heart rate, pupil area, recognition distance and reaction time) of drivers were collected, and the information representation of physical quantities affecting the perception ability of psychophysiological quantities were evaluated and screened in terms of importance of variables by correlation analysis method and LASSO-CV regression method. Based on the screened key physical quantities, particle swarm optimization (PSO) was employed to set the hyper-parameters for stacked denoising autoencoder (SDAE), and the prediction results of the PSO-SDAE model were compared with other network methods, and then the partial dependence plot was used to further explore the intrinsic mechanism of information representation for physical quantities. …”
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Multi-scenario simulation of land use optimization based on ecosystem services and ecological security patterns in the Liaohe River Basin by Qing Luo, Jing Zhang, Yajing Bao, Yilin Zhang, Jie Yu, Jiaxin Li, Xunwen Wu, Shuai Zhang, Nan Cao, Dongli Wang

“…Understanding the complex interactions among ecosystem services and identifying their spatial drivers are critical for developing adaptive land use strategies and improving ecological security, particularly in ecologically sensitive basins like the Liaohe River Basin (LRB).MethodsTherefore, this study proposed an integrated framework combining the InVEST model, Geographical Detector, and PLUS model to evaluate ecological service dynamics and optimize spatial governance in the LRB. …”
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Research and optimization of the firing rate of the firing mechanism of a long-range mortar howitzer fuse at small falling angles by Yanan Du, Guanglin He

“…Abstract To solve the problem on the effect of small drop angles of the mortar shells on the firing rate of trigger fuses and to improve the firing rate of trigger fuses, the small drop angle firing rate of the trigger fuse firing mechanism was examined using Monte Carlo simulation and optimization methods. A multi-rigid body dynamic virtual prototype model of the firing mechanism was established considering factors such as the pretension force of the ballistic safety spring, rotor mass, rotor seat mass, and firing pin height. …”
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A quasi oppositional forensic based investigation algorithm for optimizing distributed generation placement and sizing in power distribution systems by Binaya Kumar Malika, Vivekananda Pattanaik, Subhasis Panda, Binod Kumar Sahu, Pravat Kumar Rout, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…The results demonstrate the superiority of the proposed approach in terms of faster convergence, reduced complexity, and improved performance compared to existing optimization methods. The QOFBI algorithm achieves a 94.44% reduction in active power loss, highlighting its robust performance across different operational scenarios. …”
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Comparative long-term stabilization of pond ash using lime and cement: FTIR characterization, strength optimization and sustainable utilization by Vilasini P.P, Lakshmi Thangasamy

“…Different percentages (2−10) of lime and cement were applied on pond ash after which the mixture was allowed to cure within 7 days, 30, and 120 days. …”
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Spatial prediction and visualization of PM2.5 susceptibility using machine learning optimization in a virtual reality environment by Seyed Vahid Razavi-Termeh, Jalal Safari Bazargani, Abolghasem Sadeghi-Niaraki, X. Angela Yao, Soo-Mi Choi

“…Particulate Matter (PM2.5)-based air pollution is a severe menace to health and the environment worldwide. Traditional methods for predicting and mapping PM2.5 are usually lagging due to the complexity and nonlinearity between different participating parameters. …”
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Optimization of Rosa roxburghii Tratt pomace fermentation process and the effects of mono- and mixed culture fermentation on its chemical composition by Xinxin Yi, Xinxin Yi, Shuo Zhang, Shuo Zhang, Duo Meng, Duo Meng, Jian Zhang, Jian Zhang, Chencen Lai, Chencen Lai, Min Zhang, Min Zhang, Xiaodong Sun, Xiaodong Sun, Haoxiang Yu, Pengjiao Wang, Pengjiao Wang, Xiuli Gao, Xiuli Gao, Xiuli Gao

“…Fermentation with different strains led to an increase in the ABTS radical scavenging capacity, DPPH radical scavenging capacity, and total antioxidant capacity (T-AOC) of RRTP.ConclusionThe HPLC-ESI-Q-Exactive Plus Orbitrap-MS method identified 20 compounds before fermentation and 34 compounds after optimized fermentation with mixed bacteria. …”
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Optimizing bone transport strategies: a pixel value ratio-based evaluation of regeneration rates in bifocal and trifocal techniques by Xin Yang, Xin Yang, Yimurang Hamiti, Yimurang Hamiti, Kai Liu, Kai Liu, Sulong Wang, Sulong Wang, Xiriaili Kadier, Xiriaili Kadier, Debin Xiong, Debin Xiong, Aihemaitijiang Yusufu, Aihemaitijiang Yusufu

“…BackgroundBone transport techniques are crucial for managing large bone defects, but the optimal approach for different defect lengths remains unclear. …”
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Pilot optimization trial of a sexual and reproductive health program for Latina teens and their female caregivers: A study protocol by Katherine G. Merrill, Jacqueline Silva, Wendy Chu, Gisel Romero, Vanessa Melgoza, Blanca Gabino, Corin Mora, Sara Vargas, Jacqueline Fuentes, Caitlin Kelleher-Montero, Nicholle Courrejolles, Kate Guastaferro, Felicia Scott-Wellington, Susana Salgado, Angela Sedeño

“…., mothers, sisters), delivered by trained staff at community partner organizations (CPOs). Methods: This protocol describes a hybrid type 2 mixed-methods study with a pilot 23 factorial experimental design which draws on the multiphase optimization strategy (MOST) framework. …”
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Intrusion Detection Using Hybrid Pearson Correlation and GS-PSO Optimized Random Forest Technique for RPL-Based IoT by Wei Yang, Xinlong Wang, Zhiming Zhang, Shaolong Chen, Chengqi Hou, Siwei Luo

“…Second, we propose an efficient routing detection method that accelerates model training speed by using Hybrid Pearson Correlation and GS-PSO(Grid Search-Particle Swarm Optimization) Optimized Random Forest Technique. …”
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Optimized ultrasound-assisted extraction for phenolic and antioxidant analysis in purple senggani (Melastoma malabathricum) flowers: Influence of developmental stages by Dea Tio Mareta, Umar Santoso, Supriyadi, Widiastuti Setyaningsih

“…To enhance the extraction of these bioactive compounds, ultrasound-assisted extraction (UAE) was selected due to its efficiency in disrupting cell walls, accelerating compound release, and offering an environmentally friendly alternative to conventional methods. This study aimed to optimize the UAE method to analyze phenolic compounds across different flower developmental stages, which affect total phenolic content (TPC) and total antioxidant capacity (TAC). …”
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OPTIMIZATIONS OF DEEP LEARNING OBJECTS DETECTION MODELS FOR INFERENCE ACCELERATION ON GENERAL-PURPOSE AND HARDWARE-ACCELERATED SINGLE-BOARD PLATFORMS by Dmytro Myroniuk, Bohdan Blahitko

“…The concepts of deep learning model optimization are analyzed. Materials and Methods. …”
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Optimizing the primary stability of dental implants in type IV bone: in-vitro comparison of machine-driven and ratcheting insertion protocols by Nuri Mert Tayşi, Ayşegül Erten Tayşi, Pınar Erçal, Soner Şişmanoğlu

“…Nevertheless, there were no significant differences in the ISQ values when employing the Std+R technique between the two types of bone.Conclusion: Combining machine-driven and ratchet insertion techniques may prove beneficial in optimizing ISQ values in bovine samples simulating type IV bone.…”
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AI‐Based Ensemble Flood Forecasts and Its Implementation in Multi‐Objective Robust Optimization Operation for Reservoir Flood Control by Yuxue Guo, Yue‐Ping Xu, Xinting Yu, Li Liu, Haiting Gu

“…A multi‐objective robust optimization model (MRO) integrating the risk, resilience, and vulnerability was then proposed to tackle flood control problems under ensemble forecasts; for comparison, a two‐objective stochastic optimization model (TSO) was developed to minimize the expected highest reservoir level and peak release. …”
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Optimization of Unnicked β2-Glycoprotein I and High Avidity Anti-β2-Glycoprotein I Antibodies Isolation by Andrej Artenjak, Adrijana Leonardi, Igor Križaj, Aleš Ambrožič, Snezna Sodin-Semrl, Borut Božič, Saša Čučnik

“…The average efficiency of the isolation procedure for polyclonal HAv anti-β2GPI from different matrixes was 13.8%, as determined by our in-house anti-β2GPI ELISA. …”
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Optimizing droplet coalescence dynamics in microchannels: A comprehensive study using response surface methodology and machine learning algorithms by Seyed Morteza Javadpour, Erfan Kadivar, Zienab Heidary Zarneh, Ebrahim Kadivar, Mohammad Gheibi

“…In this study, we thoroughly investigate the impact of these control parameters on droplet coalescence dynamics within a sudden expansion microchannel using two distinct numerical methods. Initially, we employ the boundary element method to solve the Brinkman integral equation, providing detailed insights into the underlying physics of droplet coalescence. …”
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Optimizing Nitrogen Fertilization and Irrigation Practices for Enhanced Winter Wheat Productivity in the North China Plain: A Meta-Analysis by Donglin Wang, Shaobo Liu, Mengjing Guo, Yuhan Cheng, Longfei Shi, Jipo Li, Yongjie Yu, Siyu Wu, Qinge Dong, Jiankun Ge, Xuewen Gong

“…This study aimed to systematically evaluate the effects of different nitrogen application rates and irrigation practices on water-saving and yield enhancement in winter wheat production in the North China Plain (NCP) using a meta-analysis. …”
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Comparing the Diagnostic Efficacy of Different Calcitonin Stimulation Tests for Sporadic Medullary Thyroid Carcinoma: Calcium Gluconate vs. Calcium Chloride by Jovan Ilic, Katarina Tausanovic, Goran Zoric, Milan Jovanovic, Matija Buzejic, Sara Ivanis, Milan Parezanovic, Milan Marinkovic, Nemanja Karamarkovic, Ana Petakov, Vladan Zivaljevic

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Application and impact of multi-power quality objective optimization control in low-voltage ride-through for grid-connected inverters by Haining Wang, Jiang Geng, Bowen Feng, Di Xie, Peng Zhang, Liangliang Wang, Jigang Yao

“…This paper proposes a model predictive control (MPC)-based power quality optimization method designed to enhance the low-voltage ride-through (LVRT) capability of grid-connected inverters under various grid voltage sag conditions, while achieving multi-objective power quality optimization. …”
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