Optimizing Civics Learning in High School through the Use of Print Books and Online Learning Resources by Jessica Wijaya, Nuraini Asriati

“…The results of the study showed that teachers can optimally improve Civics learning in high school by integrating printed books and online learning resources by first understanding in depth the Civics curriculum in high school, then making lesson plans that combine printed books and online learning resources and Learning Management System (LMS), applying project-based learning methods, giving online assignments related to printed book materials, fostering students' digital literacy to find accurate and reliable learning sources, using multimedia such as learning videos from YouTube and implementing simulations. …”
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Delay margin analysis of FOTID controller for RES based EV system using MMGPE optimization by Adhit Roy, Susanta Dutta, Soumen Biswas, Anagha Bhattacharya, Sajjan Kumar, Soham Dutta, Provas Kumar Roy

“…The effect of the fractional order tilt-integral derivative (FOTID) on the stable limitations for the directive of non-conventional energy sources in a hybrid distributed system in a three-area AGC system is the main topic of the proposed investigation. …”
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Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
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Data Siting and Capacity Optimization of Photovoltaic–Storage–Charging Stations Considering Spatiotemporal Charging Demand by Dandan Hu, Doudou Yang, Zhi-Wei Liu

“…To validate the model, we leverage large-scale GPS trajectory data from electric taxis in Shenzhen as a data-driven source of spatiotemporal charging demand. The research results indicate that the spatiotemporal distribution characteristics of different charging demands determine whether a charging station can become a PSCS and the optimal capacity of PV and battery within the station, rather than a fixed configuration. …”
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Georgian Territories in the System of State Administration of the Russian Empire, 1801–1812: the Search for an Optimal Model by A. T. Urushadze

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Optimized removal of trivalent arsenic from aquatic environments using Prosopis juliflora seed biomass by M. Samimi, J. Nouri

“…BACKGROUND AND OBJECTIVES: With urban populations struggling with wastewater and water sources contaminated by metalloids, the demand for sustainable and effective methods for removing heavy metals is growing ever more urgent. …”
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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

“…It has emerged as a primary source; however, optimizing energy utilization and solar panel efficiency to maximize absorbed solar radiation remains a significant challenge. …”
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Optimizing Arm Muscle Endurance in Pencak Silat Athletes: Insights from a Literature Review by Jefrio Demitrimus Nubatonis, Sulistiyono Sulistiyono, Muhamad Husein, Irvan Septianto, Salmon Runesi, Dwi Manna Nazmi Zakiah, Julian Dewantara, Jihan Azrina, Syahrizal Islam, Vince Louisse D. Salacup

“…This study aims to explore and analyze proven strategies and methods to optimize arm muscular endurance in Pencak Silat athletes. …”
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UAV Mission Computer Operation Mode Optimization Focusing on Computational Energy Efficiency and System Responsiveness by Oleksandr Liubimov, Ihor Turkin, Valeriy Cheranovskiy, Lina Volobuieva

“…The paper provides an experimental assessment of the ‘Boryviter 0.1’ computing platform, which is implemented on the ATSAMV71 microprocessor and operates under the open-source FreeRTOS operating system. The results are the basis for developing algorithms and energy-efficient design strategies for the mission computer to solve the optimization problem. …”
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State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization by Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Accurate and reliable estimation of the state of health (SOH) of lithium-ion batteries is crucial for ensuring safety and preventing potential failures of power sources in electric vehicles. However, current data-driven SOH estimation methods face challenges related to adaptiveness and interpretability. …”
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Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm by Alireza Mohammadi, Fariborz Parandin, Pouya Karami, Saeed Olyaee

“…A key innovation is the ability to realize both gates within a single structure by adjusting the phases of the input sources. To optimize the phase parameters efficiently, we employ the ML-FOLD (Meta-Learning and Formula Optimization for Logic Design) optimization formula, which outperforms traditional methods and machine learning approaches in terms of computational efficiency and data requirements. …”
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A Review of Optimization Scheduling for Active Distribution Networks with High-Penetration Distributed Generation Access by Kewei Wang, Yonghong Huang, Yanbo Liu, Tao Huang, Shijia Zang

“…The high-proportion integration of renewable energy sources, represented by wind power and photovoltaics, into active distribution networks (ADNs) can effectively alleviate the pressure associated with advancing China’s dual-carbon goals. …”
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Optimizing solar PV systems using fuzzy logic for Climate-Resilient Healthcare infrastructure in Kyrgyzstan by Nivine Guler, Zied Ben Hazem, Ali Gunes

“…Though photovoltaic (PV) modules are commonly used for renewable energy generation, conventional methods are generally based on fixed tilt angles or high mathematical modeling techniques. …”
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Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer by Chuang-Ming Zheng, Ho Won Kang, Seongmin Moon, Young Joon Byun, Won Tae Kim, Yung Hyun Choi, Sung-Kwon Moon, Xuan-Mei Piao, Seok Joong Yun

“…Purpose: This study aimed to evaluate and optimize microbial DNA extraction methods from urine, a non-invasive sample source, to enhance DNA quality, purity, and reliability for urinary microbiome research and biomarker discovery in bladder cancer. …”
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A Mathematical Programming Approach for Joint Optimization of Wind Farm Layout and Cable Routing Based on a Three‐Dimensional Gaussian Wake Model by Ziwei Cao, Longwen Chen, Ke Li, Guoqing Huang, Ruili Liu

“…ABSTRACT Wind energy is currently one of the most promising alternative energy sources. The optimization of the wind farm layout and the cable layout are two important elements in the design of wind farms. …”
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Optimizing breeding strategies for early-maturing white maize through genetic diversity and population structure. by Hellen Mawia Mukiti, Baffour Badu-Apraku, Ayodeji Abe, Idris Ishola Adejumobi, John Derera

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Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples by Abdullahi G. Usman, Sagiru Mati, Hanita Daud, Ahmad Abubakar Suleiman, Sani I. Abba, Hijaz Ahmad, Taha Radwan

“…The dataset was collected from secondary sources and used to train and validate the SVR-HHO and SVR-PSO models. …”
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Problems of optimization and the experience of making medical decisions at the admission of patients with thromboembolism of the branches of the pulmonary artery by M. A. Mel'nikov, S. E. Katorkin, M. Yu. Kushnarchuk, O. E. Kushnarchuk

“…Analysis of existing practices of making medical decisions upon admission of patients with PE to a multidisciplinary hospital, as well as development of recommendations for their optimization. Materials and methods. An analysis of modern Russian and foreign clinical guidelines, literary scientific sources, statistical reports, and data on medical care standards for multidisciplinary medical organizations concerning the organization of diagnostics and treatment of PE was conducted. …”
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Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets by Agnieszka Sobianowska-Turek, Amelia Zielińska, Weronika Urbańska, Anna Mielniczek, Agnieszka Fornalczyk, Szymon Pawlak, Tomasz Małysa, Janusz Cebulski

“…The growing demand for lithium, driven by its crucial role in energy storage technologies such as lithium-ion batteries for electric vehicles, renewable energy storage, and portable electronics, is intensifying the need for sustainable extraction methods. While lithium is sourced from both primary and secondary resources, particularly from recycled materials, the recovery from spent lithium-ion batteries remains challenging. …”
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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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