Drying characteristics of green pellets based on the Weibull and Dincer models by Xiaoping Zhang, Zihao Fan, Hongliang Wu, Junqiang Cong, Jialong Yang, Baoliang Wen

“…The Weibull and Dincer models can accurately describe the drying behavior of green pellets, providing a simple yet reliable method for determining the moisture diffusivity and mass transfer coefficient values during the drying process of green pellets. …”
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Estimation of agricultural flood irrigation water consumption in the Heihe River Basin, China, using satellite based daily land surface evapotranspiration and soil moisture by Lirong Huo, Qiaoyun Xie, Liang Sun, Lisheng Song, Sinuo Tao, Shaomin Liu, Zuo Wang, Yan Li

“…Interestingly, we observed that while water use efficiency improved significantly at the field scale, overall irrigation efficiency showed a decreasing trend. …”
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Integration of UAV Remote Sensing and Machine Learning for Taro Blight Monitoring by Yushuai Wang, Yuxin Chen, Zhou Shu, Shaolong Zhu, Weijun Zhang, Tao Liu, Chengming Sun

“…In the early stage, the BPNN model achieved a coefficient of determination (R²) of 0.92 and an RMSE of 0.054 on the training set, and it obtained an R² of 0.89 with a root mean square error (RMSE) of 0.074 on the validation set. …”
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Monitoring of polymer viscosity by simultaneous ultrasonic and rheological measurements at high and varying temperatures by Nesrine Houhat, Thibaut Devaux, Samuel Callé, Laksana Saengdee, Séverine Boucaud Gauchet, François Vander Meulen

“…This method allows us to measure the ultrasonic and rheological properties of a sample, simultaneously and in real-time. …”
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Prediction of Spectral Response for Explosion Separation Based on DeepONet by Xiaoqi Chen, Zhanlong Qu, Yuxi Wang, Zihao Chen, Ganchao Chen, Xiao Kang, Ying Li

“…Existing structural designs for shock attenuation typically rely on shock response spectra methods, which require multiple finite element calculations to determine the optimal geometric parameters, leading to relatively low efficiency. …”
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Lifetime history of hypertensive disorders of pregnancy is associated with shorter sleep duration and more sleep disturbance in midlife: results from the Project Viva women’s healt... by Kimia Heydari, Sheryl L. Rifas-Shiman, Suzanne M. Bertisch, Elizabeth B. Klerman, Jorge E. Chavarro, Emily Oken, Karen M. Switkowski

“…We determined lifetime HDP via medical records from the index pregnancy and self-report both at enrollment and during midlife. …”
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Novel AP39-Loaded Liposomes Sustain the Release of Hydrogen Sulphide, Enhance Blood-Brain Barrier Permeation, and Abrogate Oxidative Stress-Induced Mitochondrial Dysfunction in Bra... by Al Tahan MA, Marwah MK, Dhaliwal M, Diaz Sanchez L, Shokr H, Kaur M, Ahmad S, Badhan RK, Dias IH, Sanchez-Aranguren L

“…Entrapment efficiency was determined using HPLC, while cytotoxicity was assessed in human vein endothelial (HUVEC) and neuroblastoma (SHSY5Y) cells. …”
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Forced randomization: the what, why, and how by Kerstine Carter, Olga Kuznetsova, Volodymyr Anisimov, Johannes Krisam, Colin Scherer, Yevgen Ryeznik, Oleksandr Sverdlov

“…A better understanding of statistical properties of FR is warranted. Methods We described four different IRT configurations with or without FR and illustrated them using a simple example. …”
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Optimal Layout of the Head Drive for a Self-Supporting Bucket Elevator of High Productivity by Volodymyr Kurhan, Ihor Sydorenko, Viktor Kurgan, Ruslan Dudko, Svetlana Bershak

“…Three bucket elevators with different heights, productivity, and belt width were selected to determine the optimal layout. Four drive options were calculated for each design, and a comparative analysis was carried out using a graphical method. …”
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Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns by Junfeng Sun, Yong Fang, Hu Luo, Zhigang Yao, Long Xiang, Jianfeng Wang, Yubo Wang, Yifan Jiang

“…The results indicate that the proposed model outperforms other deep learning models, achieving favorable root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2) values of 0.34 mm, 0.23 mm, and 0.94, respectively. …”
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MANAGEMENT OF INVESTMENT PROJECTS AS AN IMPORTANT COMPONENT OF ENTERPRISE MANAGEMENT IN THE GLOBAL SPACE by A. V. Nikitina, O. Shersheniuk, I. Kyrchata, K. Popkova, O. Khrystoforova

“… The article analyzes the concepts to determine the essence of the investment project. The theoretical and methodical approach to the definition of an investment project, which will provide the possibility for a clear identification of the essential features, ensure an effective interaction with internal and external dynamic environment is offered. …”
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Measuring. Monitoring. Management. Control by P.G. Mikhaylov, A.P. Mikhaylov, I.N. Paskhin, A.R. Akhmetov, E.D. Fadeev

“…Mathematical models of multilayer film structures are considered and analyzed, the nominal values of strain gages are determined, and methodformation are determined. In particular, an increase in the accuracy and consistency of the electrophysical characteristics of the sensing elements and measuring modules was achieved by 30–40 % compared with well-known Russian sensors.s for minimizing the temperature coefficients of resistive structures are determined. …”

Enhancing Youbike Redistribution System: A Study on Station Recommendation Using a Genetic Algorithm by Yang-Chou Juan, Yi-Chung Chen, Wei-Ting Chen, Chieh Yang, Chia-Tzu Liu, Yi-Ci Hou, Yi-Hsuan Tsai

“…Simulations demonstrated that the proposed system meets user needs, enhances operational efficiency, and significantly reduces manual redistribution costs. …”
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Unmanned aerial vehicle control in the task of mobile ground object tracking by A. A. Lobaty, P. V. Kholod

“…The given example of mathematical modeling of the optimal control of a UAV and the formation of its flight trajectory when accompanied by a ground object demonstrated the efficiency of the proposed method and the prospects of its application for the synthesis of UAV autopilots at the preliminary design stage.…”
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Essential Learner Characteristics in Distance Education According to Experts by Özcan Erkan Akgün, Güneş Akça

“…We conducted a literature review for developing a spectrum of variables, as well as a survey method for collecting expert views to determine their order of importance. …”
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STUDY OF SPECIAL CONNECTION PERFORMANCE ON 88.9 MM DRILL STRING IN SLIM HOLE DRILLING by KUANG YuChun, WANG HongJun, LIU JianXun, LIN Hai

“…And draw out the limit torque curve of the tool joint. Forming a quickly method to determine the tool joint limit torque under different tension. …”
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Predicting steady degradation in ship power system: A deep learning approach based on comprehensive monitoring parameters by Xingshan Chang, Xiaojian Xu, Bohua Qiu, Muheng Wei, Xinping Yan, Jie Liu

“…Compared to baseline models, YC2Model demonstrates superior performance on key performance indicators, including the highest coefficient of determination (R2) of 0.960717, and the lowest symmetric mean absolute percentage error of 0.015500, mean square error of 0.707211 × 10−4, root mean square error of 0.008410, and mean absolute error of 0.006519, proving its superior predictive accuracy. …”
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Adaptive hybrid synchronization control of grid-connected converters in renewable power plants and its small-signal stability analysis by GONG Kai, XIAO Huangqing, ZHANG Zhan, HE Hongliang, HUANG Ying, LI Yan

“…Subsequently， the corresponding small-signal model is developed， and based on the analysis results of small-signal stability， a method for determining adaptive parameter values is introduced. …”
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Creep Behavior and Quantitative Prediction of Marine Soft Clay Based on a Nonlinear Elasto-Plastic–Viscous Element Assembly Model by Yajun Liu, Ning Fang, Yang Zheng, Ke Wu, Rong Chen, Haijun Lu, Vu Quoc Vuong

“…The predicted–measured creep difference remained within 10%, and the surface-fit coefficient of determination reached R² = 0.97, enabling rapid estimation of deformation for the given stress and time conditions. …”
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The function and significance of SELENBP1 downregulation in human bronchial epithelial carcinogenic process. by Gu-Qing Zeng, Hong Yi, Peng-Fei Zhang, Xin-Hui Li, Rong Hu, Mao-Yu Li, Cui Li, Jia-Quan Qu, Xingming Deng, Zhi-Qiang Xiao

“…However, there is little information on expression and function of SELENBP1 during human lung squamous cell cancer (LSCC) carcinogenesis.<h4>Methods</h4>iTRAQ-tagging combined with 2D LC-MS/MS analysis was used to identify differentially expressed proteins in the human bronchial epithelial carcinogenic process. …”
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