A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods by Mehdi Ghasri, Hamid Reza Karimi, Abdolhamid Salarnia

“…MVPO integrates population-based exploration, simulating viral spread through intra-community interactions (guided by wavelet functions to model transmission variability) and inter-community propagation, with a two-phase mutation strategy: the first phase enhances global exploration via elongated search steps during accelerated spread, while the second phase introduces structural perturbations to escape local optima. …”
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Modified GIC Estimation Using 3‐D Earth Conductivity by Anna Kelbert, Greg M. Lucas

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Gráfico de controle de regressão aplicado na monitoração de processos Regression control chart applied in process monitoring by Luciane Flores Jacobi, Adriano Mendonça Souza, João Eduardo da Silva Pereira

“…This research, therefore, it presents an efficient technique to control simultaneous by correlated variables.…”
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Influence of Emergent Vegetation Layout on Flow Pattern in a Rectangular Shallow Basin by Junnan LYU, Yuxuan JIANG, Zhidong YAO, Chen YE, Xufeng YAN

“…The hydrodynamics within a shallow basin dictate its efficiency in treatment, water exchange rate, and the ratio of stagnant water areas. …”
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Relationship Between Physical Performance and Strength of the Ankle Muscles, Pain, and Kinesiophobia in Taekwondo Athletes With Chronic Ankle Instability by Beom-jun Kim, Ui-jae Hwang, Oh-yun Kwon

Reduction of hydrogen absorption into materials of membrane electrode assemblies in hydrogen generators by M. V. Lebedeva, A. V. Ragutkin, I. M. Sidorov, N. A. Yashtulov

“…The service life test results and performance of the designed variants of prototypes of membrane electrode assemblies with nanostructured electrodes based on reduced graphene oxide, preventing hydrogen absorption into functional materials and their degradation, demonstrated the creation of hydrogen generators with high energy efficiency shows potential.…”
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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

“…Addressing the spatial variability, temporal dynamics, and non-linearity characteristics of port water levels, a hybrid prediction scheme was proposed, which integrates empirical mode decomposition (EMD) with a radial basis function neural network (RBFNN), optimized using the particle swarm optimization (PSO) algorithm. …”
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Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model by Tewekel Melese Gemechu, Baozhang Chen, Huifang Zhang, Junjun Fang, Adil Dilawar

“…This study introduces a novel approach to enhance ET estimation by integrating SIF partitioning with Photosynthetically Active Radiation (PAR) and leaf area index (LAI) data, utilizing the TL-LUE model (Two-Leaf Light Use Efficiency). Partitioning SIF data into sunlit and shaded components allows for a more detailed representation of the canopy’s functional dynamics, significantly improving ET modelling. …”
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Fiscal transfers and public health services in China: a macro–micro analysis by Xunhua Tu, Jie Yan, Yueyi Wang, Jing Zheng

“…IntroductionThis study innovatively integrates functional performance and systemic capacity dimensions to establish a comprehensive evaluation framework for public health services, addressing critical knowledge gaps in fiscal policy-health system interactions.MethodsUtilizing multi-source spatial panel data from 1,871 Chinese counties (2001-2020), we developed a novel assessment system combining structural equation modeling (SEM) and fuzzy comprehensive evaluation. …”
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Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin, T. Byo

“…The article deals with the multi-criteria task of routing and scheduling of unmanned and manned aircraft using the method of penalty functions. The authors describe the urgency of the problem being solved for the airline management under the conditions of the existing changes in the dynamic situation with a great variety of flight situations. …”
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The Influence of Artificial Intelligence Tools on Learning Outcomes in Computer Programming: A Systematic Review and Meta-Analysis by Manal Alanazi, Ben Soh, Halima Samra, Alice Li

“…While AI tools enhance computer programming proficiency and efficiency, their effectiveness depends on factors such as tool functionality and course design. …”
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Multiparametric positron emission tomography/magnetic resonance imaging in nasopharyngeal carcinoma: Correlations between magnetic resonance imaging functional parameters and18F-fl... by Sheng-Chieh Chan, Shu-Hang Ng, Chih-Hua Yeh, Kai-Ping Chang

“…Materials and Methods: We enrolled 85 patients with primary NPC who simultaneously underwent18F-fluorodeoxyglucose PET/CT and PET/MRI before definitive treatment. The following variables were determined: (1) functional parameters from the MRI component, including perfusion values (Ktrans,kep,ve, and initial area under the enhancement curve) and apparent diffusion coefficient (ADC) values, and (2) PET parameters, including metabolic tumor volume (MTV). …”
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Resting-State Brain Network Characteristics Related to Mild Cognitive Impairment: A Preliminary fNIRS Proof-of-Concept Study by Guohui Yang, Chenyu Fan, Haozheng Li, Yu Tong, Shuang Lin, Yashuo Feng, Fengzhi Liu, Chunrong Bao, Hongyu Xie, Yi Wu

“…Subject sRSFC strength and dRSFC variability coefficients were evaluated via fNIRS. The study evaluated the feasibility of using fNIRS to measure these connectivity metrics and compared resting-state brain network characteristics between the two groups. …”
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Ecological and Ergonomic Aspects of Operating Hybrid Sunflower Cultivation Technologies by M. A. Kerimov, V. V. Vetushko

“…(Research purpose) To enhance the efficiency of hybrid sunflower seed production technologies by developing and validating safe scientific and technical solutions. …”
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Sex differences in anaerobic performance in CrossFit® athletes: a comparison of three different all-out tests by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Domínguez, Javier Benítez-Porres

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Activated carbons for effective pharmaceutical adsorption: Impact of feedstock origin, activation agents, adsorption conditions, and cost analysis by Issam Mechnou, Anasse Benabdallah, Az-Iddin Chham, Younes Rachdi, Miloudi Hlaibi, Abdeslam El kartouti, Na’il Saleh

“…Activated carbons from various raw materials exhibit surface functions such as C=O, C-N, COOH, NH2, Si-O and O-H, with surface areas over 3400 m2 g−1 and a capacity reaching 2000 mg g−1. …”
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Development of a General Composite Scale (GENCOMS) for Progressive Neurodegenerative Diseases and Implications for the Assessment of Disease-Modifying Therapies by Samuel P. Dickson, Craig H. Mallinckrodt, Basia Rogula, Lauren C. Powell, Michele H. Potashman, Vladimir Coric, Gilbert J. L’Italien, Suzanne B. Hendrix

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Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations by Wulfran Fendzi Mbasso, Reagan Jean Jacques Molu, Ambe Harrison, Mukesh Pushkarna, Fritz Nguemo Kemdoum, Emmanuel Fendzi Donfack, Pradeep Jangir, Pierre Tiako, Milkias Berhanu Tuka

“…The hybrid model, which combines sinusoidal and polynomial functions, achieved an accuracy of 79.15% in estimating energy consumption using temperature as a predictor variable. …”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…Abstract Engineering design optimization problems present significant challenges due to the complexity of objective functions, which often involve both continuous and discrete design variables, along with multiple constraints. …”
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Species richness is not a good predictor for above-ground biomass in a warm temperate deciduous broadleaf forest by Chunmei He, Yushan Li, Xiaoxia Dai, Na Liu, Fangfang Wu, Jiangbo Yan, Meiping Gao, Yonghui Liang, Zuoqiang Yuan, Zhanqing Hao, Qiulong Yin

“…Spearman correlation coefficients were used to analyze the correlations between AGB and the variables. …”
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