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  1. 13121

    Monitoring and Evaluation of High Temperature and Heat Damage of Summer Maize Based on Remote Sensing Data by Yang Lei, Han Lijuan, Song Jinling, Li Sen

    Published 2020-11-01
    “…Results show that the determination coefficient of daily average air temperature in the plain area is above 0.8, and the determination coefficient of daily maximum temperature is above 0.7, and passing the test of 0.001 level. …”
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  2. 13122

    Quality assurance through truncated life tests under the Lomax distribution by Aafaq A. Rather, Ahmed R. El-Saeed, Danish Qayoom, Zahoor Ahmad, H. E. Semary, Getachew Tekle Mekiso, Eslam Hussam, Ahmed M. Gemeay

    Published 2025-07-01
    “…The study analyzes different parameters of the Lomax distribution to determine the minimum sample sizes necessary for evaluating the quality of lots or production processes. …”
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  3. 13123

    Improvement of the Burden Column Structure by Controlling the Multicomponent Burden Loading Mode into the Blast Furnace by Myrav'yova I.G., Ivancha N.G., Shcherbachov V.R., Vishnyakov V.I., Ermolina E.P.

    Published 2023-05-01
    “…To achieve this goal, a new method has been developed for determining the coordinates of the lines of softening and melting of the burden based on information about the gas temperature above the surface of the charge and the characteristics of the distribution of burden materials, a criterion for the technological assessment of the cohesive zone has been proposed, and the relationship between its thickness and the distribution of the burden has been studied. …”
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  4. 13124

    Hazelnut shells and rice husks activated biochars for the adsorption of atrazine and terbuthylazine by Federico Apolloni, Federica Menegazzo, Carla Bittencourt, Michela Signoretto

    Published 2025-04-01
    “…These biomasses, recognized as agricultural wastes from high-yield crops, undergo a 2-step processing method: initial slow pyrolysis at 700 °C, followed by physical activation using steam at 850 °C. …”
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  5. 13125

    Comparing supervised classification algorithm–feature combinations for Spartina alterniflora extraction: a case study in Zhanjiang, China by Qiujie Chen, Qiujie Chen, Chunyan Shen, Hong Du, Danling Tang

    Published 2025-07-01
    “…Accurate remote sensing-based identification and monitoring are crucial for invasive species management; however, such methods have rarely been applied to determine the distribution of S. alterniflora in Zhanjiang, China. …”
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  6. 13126

    Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

    Published 2024-05-01
    “…The most significant predictors of the regression models were the derived TIR (dTIR), p<0,001; derived time below range level 1 (dTBR1), p<0,001; standard deviation of blood glucose (SD), p=0,007. Determination coefficient for SLR (predictor: dTIR) — 0,844; for MLR (predictors: dTIR, dTBR1, SD) — 0,907. …”
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  7. 13127

    Analysis of Factors Influencing the Development of Community-Based Tourism in Rural Areas, Case Study: Villages Targeted by Tourism in the Markazi Province by Hamid Afshari, Behrouz Mohammadi Yeganeh, Hossein Farahani, Mehdi Cheraghi

    Published 2024-01-01
    “…To determine the research samples, the purposeful and snowball sampling methods were used and the sampling was done in a period of 2 months. …”
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  8. 13128

    Comparative Evaluation of Decision Tree (M5) and Least Square Support Vector Machine (LS-SVM) Models for Groundwater Level Prediction in the Mashhad Plain by Vajihe Ramezani saani, Mahdi Zarei, Seyed Morteza Seyedian

    Published 2025-03-01
    “…The aim of the present study is to estimate the groundwater table level of the Mashhad plain aquifer using the decision tree model (M5) and to compare it with the least squares support vector machine model (LS-SVM) under 10 different scenarios.Method: For this purpose, monthly climatic data (precipitation, evaporation, and temperature) and groundwater level information from 60 piezometric wells over a 10-year statistical period were utilized, and the employed models were evaluated using statistics such as the coefficient of determination (R2), RMSE, and MBE.Results: The results of the LS-SVM model indicated that the highest simulation accuracy belonged to scenario 4, followed by scenario 9, while the other scenarios exhibited very low accuracy in simulating the water level. …”
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  9. 13129

    Coverage Path Planning Using Actor–Critic Deep Reinforcement Learning by Sergio Isahí Garrido-Castañeda, Juan Irving Vasquez, Mayra Antonio-Cruz

    Published 2025-03-01
    “…Our findings demonstrate that actor–critic methods can produce policies capable of guiding a robot to efficiently explore and cover new environments.…”
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  10. 13130

    Characteristics and Mechanisms of Simultaneous Quinoline and Ammonium Nitrogen Removal by a Robust Bacterium <i>Pseudomonas stutzeri</i> H3 by Jie Hu, Bing Xu, Jiabao Yan, Guozhi Fan

    Published 2025-03-01
    “…Therefore, the pressing need for an effective treatment method has become increasingly evident. A robust bacterium <i>Pseudomonas stutzeri</i> H3 capable of simultaneous organic and inorganic nitrogen removal was isolated from the activated sludge in the coking wastewater treatment system. …”
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  11. 13131

    Reduction of Ascites Susceptibility in Broiler Chickens under Cold Stress by Guanidinoacetic Acid Supplementation by Mousa Ezatikia, parviz Farhoomand, Sina Payvastegan, Bahram Pirooz, Negin Delfani

    Published 2025-03-01
    “…Therefore, the aim of this study is to investigate the effects of replacing different levels of guanidinoacetic acid with arginine on performance, carcass characteristics, susceptibility to ascites, and some blood parameters of broilers reared under cold stress conditions.Materials and Methods: A total of 200 male Ross 308 broiler chicks with an average weight of 42 ± 1.5 g were used. …”
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  12. 13132

    Geochemical inversion study of potassium and phosphorus in soil based on neural network and ZY1-02D hyperspectral data by Ziyang Li, Junxu Chen, Zhifang Zhao, Xiaotong Su, Shuanglan Yang, Xinle Zhang, Gaoqiang Xiao, Tao Fu, Lei Niu

    Published 2025-07-01
    “…In the vegetated area, the coefficient of determination for potassium was 0.654, with a mean square error of 22.686 g/kg; in the bare area, the model for potassium yielded a coefficient of determination of 0.617 and a mean square error of 9.102 g/kg. (3) A novel method has been proposed for analyzing the geochemical element content of soil, designed to accurately assess potassium geochemical information and provide a basis for predicting phosphorus content. …”
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  13. 13133

    Application and Evaluation of Regional Control Technology of Limestone Water Hazard: A Case Study of the Gubei Coal Mine, North China by Jingzhong Zhu, Yu Liu, Qimeng Liu, Sen Yang, Jiajun Fan, Yu Cui, Ling Li

    Published 2021-01-01
    “…Through the comprehensive treatment of the ground and underground, the water channel will be effectively filled with slurry to prevent limestone water bursting into the roadway, and the value of water-inrush coefficient is decreased below the critical value. In the study, utilizing COMSOL Multiphysics based on the finite element method to verify and determine the real layout of grouting parameters, the result shows the design plans satisfy the engineering requirements. 13321 working face located in South No.1 mining area has analyzed the effect of water hazard prevention and control. …”
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  14. 13134

    Artificial intelligence models for predicting the performance of proton exchange membrane water electrolyzers under steady and dynamic power by Thomas Waite, Alireza Sadeghi, Mohammad Yazdani-Asrami

    Published 2025-01-01
    “…The model offered a goodness of fit or coefficient of determination ( R ^2 ) value of 0.9991 for the testing data and can predict the performance of untrained electrolyzers and their operation with similar accuracy.…”
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  15. 13135

    Advancing Sika deer detection and distance estimation through comprehensive camera calibration and distortion analysis by Sandhya Sharma, Stefan Baar, Bishnu P. Gautam, Shinya Watanabe, Satoshi Kondo, Kazuhiko Sato

    Published 2025-05-01
    “…This practical and reproducible calibration method, which does not require expensive optical equipment, offers significant improvements in camera trap optimisation, enabling conservationists and researchers to obtain more reliable ecological data.…”
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  16. 13136

    Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model by Jiandong Huang, Tianhong Duan, Yi Zhang, Jiandong Liu, Jia Zhang, Yawei Lei

    Published 2020-01-01
    “…The results showed that the hyperparameters of RF can be tuned by the BAS efficiently; the BAS can combine the conventional RF algorithm to construct the evolved model to predict the permeability of pervious concrete; the cement/aggregate ratio was the most significant variable to determine the permeability, followed by the coarse aggregate proportions.…”
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  17. 13137

    Operation Optimization Strategy of Commercial Combined Electric Heating System Based on Particle Swarm Optimization Algorithm by WANG Qing, LI Congcong, WANG Pingxin, WU Qingqing, CAI Xiaoyu

    Published 2023-02-01
    “… In order to improve the energy efficiency of the electric heating system, a particle swarm optimization (PSO, Particle Swarm Optimization)-based operation optimization strategy for the direct storage combined electric heating system is proposed.A mathematical model of influencing factors inside and outside the walls of electric heating buildings is established, and the simulink toolbox in matlab is used to build the overall system under the premise of determining the quantity of electric heating.Combining demand response ideas, the objective function is to establish the minimum heating and electricity cost of the user, and different sub-modules are selected to form the control module to achieve simulation verification, and the inverse cosine method is used to update the improved particle swarm algorithm to update the learning factor to solve the set objective function.Finally, through a calculation example of electricity consumption data of an enterprise in Jinan, Shandong, comparing energy consumption and economy can be obtained: the total energy consumption throughout the day is lower than the actual energy consumption, and the electricity bill is reduced by 17.16% compared with the unoptimized time.…”
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  18. 13138

    Double Contour Thermodynamic Cycle with Unidirectional Heat Transfer between the Refrigeration and the Energy Cycle by Gorpinko Yu.I., Senetskyi O.V., Sarapin V.P., Shubenko O.L., Malyarenko V.A.2

    Published 2019-12-01
    “…The most important results are the determination of the area of advantages of a heat activated cooler with RCHP over traditional builders heat activated cooler, which corresponds to the possibility of utilizing waste heat with a potential of 130 – 170 ºС, definition reserves for improving the characteristics of a cooler with RCHP, identifying significant quantitative and qualitative changes in the ratio of thermal equiva-lents of RHE, their correlations with cooler thermodynamic efficiency levels according. …”
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  19. 13139

    ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

    Published 2025-01-01
    “…In the second component, we introduce an intra-mode selection algorithm based on gradient descent, which utilizes block gradient features to optimize and determine the final intra-prediction mode. Experimental results demonstrate that the proposed algorithm significantly reduces encoding time by 53.17%.At the same time, the BD-BR only increases by 1.38%, showcasing an optimal trade-off between video quality and encoding efficiency.…”
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  20. 13140

    Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

    Published 2023-12-01
    “…The exploration of key size and search space may assist in understanding the security implications and computational complexity associated with the proposed method. Overall, the ECC-GA approach opens avenues for further research in innovative key-generation techniques for modern cryptographic applications.…”
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