Optimizing Blood Pressure Control: A Randomized Comparative Trial of Losartan/Chlorthalidone vs. Losartan/Hydrochlorothiazide by Isabel E. Rucker-Joerg, Ernesto G. Cardona-Muñoz, Francisco G. Padilla-Padilla, Rodrigo Suarez-Otero, Yulia Romero-Antonio, Emmanuel Canales-Vázquez, Kevin F. Rios-Brito, Ileana C. Rodríguez-Vazquez, Jorge González-Canudas

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Simulation and Optimization of Multi-Phase Terminal Trajectory for Three-Dimensional Anti-Ship Missiles Based on Hybrid MOPSO by Jiandong Sun, Shixun You, Di Hua, Zhiwei Xu, Peiyao Wang, Zihang Yang

“…In high-dynamic battlefield environments, anti-ship missiles must perform intricate attitude adjustments and energy management within time constraints to hit a target accurately. Traditional optimization methods face challenges due to the high speed, flexibility, and varied constraints inherent to anti-ship missiles. …”
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Data Governance Design for Optimization of Hospital Management Information System (SIM-RS) at ABC Regional Hospital by Muhammad Furqan Nazuli, Irfan Walhidayah, Neng Ayu Herawati, Lenny Putri Yulianti, Kridanto Surendro

“…A qualitative approach with a case study method was employed, involving interviews and document analysis to identify key challenges in data management. …”
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Multiobjective optimization of external shading for west facing university dormitories in Kunming considering solar radiation and daylighting by Tong Chen, Liangbin Tan

“…This study focuses on west-facing dormitory rooms in universities in Kunming, China—spaces particularly prone to solar overexposure—and proposes a fixed external shading design method optimized for solar heat control and daylighting performance. …”
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Copper–Ammonia–Thiosulfate Leaching of High-Sulfide Concentrates: Process Optimization and Additive Effects on Gold Extraction by Azizbek Bolikulovich Buronov, Blackie Korul Yayabu, Labone Lorraine Godirilwe, Batnasan Altansukh, Sanghee Jeon, Kazutoshi Haga, Atsushi Shibayama

“…Overall, this study indicates that the optimized ammonia–copper–thiosulfate leaching system with ADP additive is a promising environmentally friendly method for the extraction of gold.…”
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Noise-Based Frequency Spectrum Correction Method Using Interior Point Approach by Guichun Yang, Shengyou Zhou, Han Chen, Huiyue Yang, Weixing Hua, Zhaojie Wu, Yan Chen

“…Notably, for a signal containing 2048 samples, the IP method achieves a 4.2-fold reduction in execution time compared to the FFT+FT refinement approach, while maintaining comparable accuracy. …”
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Optimal dosage and effectiveness of imagery practice on athletes’ mental health: a Bayesian multilevel meta-analysis by Xuda Zhang, Shiao Zhao, Sanfan Ng, Yiran Liu, Taihe Liang, Chon In Lao, Ziheng Ning

“…This study aims to evaluate the effectiveness and optimal dosage of imagery practice on athletes’ mental health outcomes.MethodsA total of 24 randomized controlled trials (RCTs), encompassing 1,294 athletes, were synthesized using a Bayesian multilevel meta-analysis in accordance with the PRISMA 2020 guidelines. …”
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Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm by Mousa Mirmoradi, Mohammad Gholami Parashkoohi, Hamed Afshari, Ahmad Mohammadi

“…Environmental impacts also differ; canola's fertilizer use contributes more nitrogen oxides and ammonia, potentially affecting water quality, while cotton's labor-intensive methods lead to increased emissions of heavy metals and CO2. …”
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Development of Sour Flavored Noni Juice Using Lactic Acid Compound as a Fermentation Media and Optimation by Jakfar Jakfar*, Husni Husin, Fahrizal Nasution, Ahmadi Ahmadi

“…Recent studies have shown that acid catalysts have advantages over conventional noni juice production. This method uses a lactic acid catalyst for the fermentation of noni fruit. …”
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Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

“…A hybrid population initialization method was developed by combining chaotic mapping to generate high-coverage initial solutions and a greedy algorithm to construct locally optimal sequences, effectively addressing the issue of poor solution quality caused by random initialization in traditional WOA. …”
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A deep neural network approach for optimizing charging behavior for electric vehicle ride-hailing fleet by Kaizhe Chen, Jin Liu, Wenjing Lyu, Tianyuan Wang, Jinxi Wen

“…While extensive research has been conducted on AI’s role in transportation innovation, there remains a significant gap in empirical studies focusing on optimizing the charging behavior of operational EV fleets, particularly within ride-hailing services. …”
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Cultivation Optimization and Structural Characterization of <i>Stephanocyclus meneghinianus</i> for Sustainable High-Quality Biosilica Production by Daeryul Kwon, Yoseph Seo, Chaehong Park, Sang Deuk Lee, Taek Lee

“…We analyzed its morphology, microstructure, and optimal culture conditions, and developed a pretreatment method to recover intact biosilica frustules. …”
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From Fourier topology representation to optimal robot: evolution of an ultrahigh performance XYθ z nanopositioner by Zheng Lyu, Zilin Yang, Aiwu Zhou, Kang Tai, Guo Zhan Lum

“…Our synthesis method has evolved an optimal XYθ z nanopositioner that has stiffness ratios, mechanical bandwidth, workspace and positioning resolutions of 741–869, 123 Hz, 5.8 mm $$\times$$ × 5.8 mm $$\times$$ × 6° and 13 nm $$\times$$ × 14 nm $$\times$$ × 1.3 μrad, respectively. …”
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A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery by Bo H. Choi, Jun H. Heo, Min S. Kim, In S. Choi, Eun S. Lee

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Experimental study and optimizing the effective parameters on the extraction of the anti-cancer substance naringin under ultrasound waves by Mojtaba Nosrati, Neda Gilani, Hadiseh Masoumi

“…In this research, naringin substance is extracted from orange peel using ethanol solvent by ultrasonic method. Design-Expert (DOE) software was used to determine the optimal parameters including time, pH, and sample-to-solvent ratio while keeping the temperature constant at 40°C. …”
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Hybrid Path Planning Method for USV Based on Improved A-Star and DWA by Yan Liu, Zeqiang Sun, Junhe Wan, Hui Li, Delong Yang, Yanping Li, Wei Fu, Zhen Yu, Jichang Sun

“…Simulation results demonstrate that the proposed algorithm generates secure global paths, significantly optimizing node count, path length, and smoothness, while effectively avoiding dynamic obstacles, thus ensuring safe navigation of the USV.…”
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Optimizing Planar Antenna Arrays Using Genetic Algorithms for Enhanced Radar Performance in Direction of Arrival Estimation by Methq Kadhum Alnoori, Malik Jasim Farhan, Enas F. Rawashdeh

“…For practical setups, an antenna size configuration of M = 8, N = 3 with 85 snapshots can achieve an optimal tradeoff, reducing the computational cost by 35% compared to conventional methods while maintaining high accuracy. …”
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Research on design optimization of oil and gas pipelines leveraging X80 tee and additive manufacturing technology by Ye TIAN

“…Methods This study introduced equal tees made of X80 steel with a diameter of 1 219 mm for the structural design optimization and safety evaluation of oil and gas pipelines, aimed at addressing local stress concentration issues. …”
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Synergistic research on planter performance optimization and green low-carbon agricultural transformation under climate risk by Yan Shi, Pengfei Zhao, Zhengzhao Gu, Ye Li

“…While traditional planting strategies focused on parameters like seed depth, speed, and spacing, they often neglected environmental sustainability and adaptability to climate variability.MethodsTo bridge this gap, we introduced the Adaptive Precision Planter Optimization Model (APPOM), which leveraged real-time environmental sensing, machine learning, and multi-objective optimization to dynamically adjust key planting parameters. …”
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Integrated multi-task feature learning and interactive active optimization for scene retargeting in preschool educational applications by Suhui Yao, Lan Lv

“…Experimental evaluations demonstrate that the proposed model not only surpasses five state-of-the-art methods in performance but also achieves a 3% improvement in accuracy compared to the next-best approach, all while reducing inference time by over 50%. …”
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