Effect of Exercises rate Running In 1500 m and 3000 m Pace with different Percentages In improved in the enzyme LDH and the speed reserve and by Dr. Ahmed Murtadha, Dr. Saif Sabbar, Dr. Khalid Mohammed, M. Baida Khudhur

“… In spite of what has been achieved in the scientific progress in the field of sports achievement, it is necessary to continue to conduct more research, studies and experiments to increase knowledge and expand the scientific facts and link them to reach the best methods and methods of training to develop each game of sports and each according to its specificity and in an optimal manner in an attempt to invest Existing human energies to the maximum extent possible. …”
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EVALUATION OF OPTIMAL HIGH DENSITY CHOLESTEROL VALUE IN COHORT OF ALMOST HEALTHY MEN 40-59 YEARS OLD (BY THE DATA OF 30-YEAR PROSPECTIVE OBSERVATION) by V. V. Belov, A. A. Menshchikov

“…To estimate the relation of the 30-year survival equation and levels of high-density cholesterol (HDL) in almost healthy men 40-59 years old and to define based on this data the optimal level of HDL for that category of persons.Material and methods. …”
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Optimizing surgical precision: a comparative study of three-port vs. four-port robotic-assisted lobectomy for NSCLC by Fangfang Yang, Lei Chen, Hui Wang, Qianyun Wang, Chen Yang

“…This study aimed to evaluate the clinical value of robot-assisted lobectomy by comparing the perioperative data of NSCLC patients who underwent three-port and four-port surgical methods. Methods The data of 121 consecutive patients who were admitted to our hospital for NSCLC and underwent Da Vinci robot-assisted thoracic surgery (RATS) for radical resection from January 2020 to October 2021 were retrospectively collected and analyzed. …”
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Optimizing trickling filter Systems: Comparative analysis of integrated municipal wastewater treatment configurations within a biorefinery framework by Behnam Askari Lasaki, Peter Maurer, Harald Schönberger

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Sex differences in the association between atherogenic index of plasma and progression from normoglycemia to prediabetes: evidence from a 5-year large-scale retrospective cohort st... by Chufu Yang, Qiying Chen, Weiyan Li, Chuang Gao, Yong Han, Jiaqian Zhu

“…In women, the relationship was linear.ConclusionThis study demonstrated that elevated AIP was positively associated with the risk of progression from normoglycemia to pre-DM, with a significant sex difference in this relationship. This provides a reference for individualized risk stratification and management strategies for different sex populations and offers new perspectives for optimizing strategies to prevent pre-DM and DM.…”
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Techno-economic dataset for energy market and capacity payment co-optimization in the Dominican Republicʼs power marketMendeley Data by René Báez-Santana, Miguel Aybar-Mejía, Máximo A. Domínguez-Garabitos, Víctor S. Ocaña-Guevara

“…While the data corresponds to the Dominican Republic's power system, the method of collecting and processing data can be implemented in other countries. …”
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Methodological aspects of optimization of energy consump-tion costs of low-rise buildings with a built-in air heat pump by E. I. Krupnov, I. A. Zaitseva, S. A. Loginova, I. S. Zaitsev

“…This technique can be applied not only to calculate the annual operating costs of using a heat pump and determine the structure of energy consumption (thermal and electrical), but also to optimize the energy parameters of HHP with an assessment of the energy efficiency of different options for their configurations.…”
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Laser Powder Bed Fusion of Pure Titanium: Optimization of Processing Parameters by Means of Efficient Volumetric Energy Density Approach by Claudio F. Badini, Tommaso Santero, Michele Rosito, Elisa Padovano

“…This paper focuses on optimizing the process parameters for manufacturing commercially pure titanium grade 2 using Laser Powder Bed Fusion (L-PBF) technology. …”
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Optimizing multi-objective hybrid energy systems with pumped hydro storage for enhanced stability and efficiency in renewable energy integration by Junxian Li, Jiaxin Yuan, Xuxin Yue

“…Therefore, the PROMETHEE-GAIA Method with CRITIC weighting is used to identify the most desirable solutions. …”
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Application of Distributionally Robust Optimization Markov Decision-Making Under Uncertainty in Scheduling of Multi-category Emergency Medical Materials by Zhizhen Liang, Xiaojia Wang, Sheng Xu, Wei Chen

“…In the DRO model, we prioritize medical material requirements into different categories, assuming only that the means and variances of information on the demand are available to seek an optimal implementation strategy in a single period. …”
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Effect of Cyclic Cryogenic Treatment on Wear Resistance, Impact Toughness, and Microstructure of 42CrMo Steel and Its Optimization by Haidong Zhang, Xianguo Yan, Qiang Hou, Zhi Chen

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Research on time-varying path optimization for multi-vehicle type fresh food logistics distribution considering energy consumption by Hao Chen, Wenxian Wang, Li Jia, Haiming Wang

“…A piecewise function is used to depict vehicle speeds, proposing a dynamic urban fresh food logistics vehicle routing optimization method. Given the NP-hard nature of the problem, a hybrid Tabu Search (TS) and Genetic Algorithm (GA) approach is designed to compute an optimal solution. …”
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Probe-type ultrasound-assisted immersion freezing of meat, study of selected quality factors and taguchi-based process optimization by Hamed Sardari, Reza Alimardani, Mahmoud Soltani Firouz, Soleiman Hosseinpour

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Global Burden of Kidney Cancer Attributable to High Body Mass Index in Adults Aged 60 and Older from 1990 to 2021 and Projections to 2040: A Systematic Analysis for the Global Burd... by Lin J, Zhang Z, Meng X, Yin X, Pu L, Xiang C, Yang J

“…Disparities across regions, genders, and age groups highlight the need for targeted prevention and early intervention, especially for high-risk groups (males, elderly, low-middle SDI regions), to reduce burden and optimize healthcare resource allocation.Keywords: kidney cancer, high BMI, elderly, SDI, gender differences, trend projection…”
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Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties by Xiaomo Jiang, Weijian Tang, Haixin Zhao, Xueyu Cheng

“…This is still a very challenging topic in various industrial fields because of data imperfection and multivariate correlation, as well as the variation in faults and components in different machines. This paper presents an optimized probabilistic signal reconstruction methodology to address these challenges in the fault prediction of rotatory machines using multivariate vibration signals. …”
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Optimization of Fetal Biometry With 3D Ultrasound and Image Recognition (EPICEA): protocol for a prospective cross-sectional study by Marine Beaumont, Olivier Morel, Gabriela Hossu, Gaëlle Ambroise Grandjean, Claire Banasiak, Cybele Ciofolo-Veit, Caroline Raynaud, Laurence Rouet

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Optimising a closed-loop supply chain inventory system with product, material, and energy recoveries under different coordination structures by Anindya Rachma Dwicahyani, I Nyoman Pujawan, Erwin Widodo

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Temperature Analysis of Secondary Plate of Linear Induction Motor on Maglev Train Under Periodic Running Condition and Its Optimization by Wenxiao Wu, Yunfeng He, Jien Ma, Qinfen Lu, Lin Qiu, Youtong Fang

“…Finally, optimizations were performed with respect to different shift interval time, plate materials, and carriage numbers. …”
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DeepDate: A deep fusion model based on whale optimization and artificial neural network for Arabian date classification. by Nour Eldeen Mahmoud Khalifa, Jiaji Wang, Mohamed Hamed N Taha, Yudong Zhang

“…Image recognition based on deep learning algorithms can help to identify and classify the date fruit species, even in natural light.<h4>Method</h4>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

“…Existing methodologies, including regression-based models, heuristic approaches, and optimization-driven methods, struggle to generalize across dynamic environments due to their reliance on static parameter configurations. …”
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