Validity and Reliability of Kinovea^® for Pelvic Kinematic Measurement in Standing Position and in Sitting Position with 45° of Hip Flexion by Lucía Vicente-Pina, Rocío Sánchez-Rodríguez, Loreto Ferrández-Laliena, Jose Heredia-Jimenez, Julián Müller-Thyssen-Uriarte, Sofía Monti-Ballano, César Hidalgo-García, José Miguel Tricás-Moreno, María Orosia Lucha-López

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Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturated fatty acids contents in fish by Yi-Ming Cao, Yan Zhang, Qi Wang, Ran Zhao, Mingxi Hou, Shuang-Ting Yu, Kai-Kuo Wang, Ying-Jie Chen, Xiao-Qing Sun, Shijing Liu, Jiong-Tang Li

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Influence Of Technology Professional- Development on Teachers Self-Efficacy in The Use of ICT For Teaching Basic Science and Technology by Joy Peter, Ahmed Idris ISSA, Kate Uzoamaka Bonse

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Improving Daily Precipitation Estimates by Merging Satellite and Reanalysis Data in Northeast China by Gaohong Yin, Yanling Zhang, Yuxi Cao, Jongmin Park

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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

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Study on Noise Reduction of Hydrostatic Leveling Signals for Wind Turbine Foundations Based on CEEMDAN-SG Algorithm by Renjie Li, Xiangxing Lu, Zhixin Song, Huanwei Wei, Fang Tan, Zhonghua Liu

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Comparison of 3DVar and EnSRF Data Assimilation Using Radar Observations for the Analysis and Prediction of an MCS by Shibo Gao, Jinzhong Min

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Crystal Structure and Cyclic Voltammetric Studies on the Metal Complexes of N-(Dimethylcarbamothioyl)-4-fluorobenzamide by Gun Binzet, Ersan Turunc, Ulrich Flörke, Nevzat Külcü, Hakan Arslan

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Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

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Endogeneity, Heterogeneity and Determinants of Inefficiencies in Crop-Producing Farmers: Evidences from Central Highlands of Ethiopia by Oumer Beriso

“…The study used Mundlak-adjusted random effect – four error component stochastic frontier model by extending earlier version of the model to distinguish endogeneity and farm-heterogeneity from time-invariant inefficiency and to explain inefficiencies. …”
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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

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Dynamic growth tomato inflorescence modeling with elastic mechanics data by Siyao Liu, Subo Tian, Zhen Zhang, Lingfei Liu, Tianlai Li

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Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm by Premkumar Manoharan, Sowmya Ravichandran, Jagarapu S. V. Siva Kumar, Mustafa Abdullah, Tan Ching Sin, Tengku Juhana Tengku Hashim

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Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping by Oluwatobi Emmanuel Dare, Kennedy Okokpujie, Emmanuel Adetiba, Olabode Idowu-Bismark, Abdultaofeek Abayomi, Raymond Jules Kala, Emmanuel Owolabi, Udeme Christopher Ukpong

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Clinical case of Norwegian scabies in a patient with HIV infection by A. Kh. Bulatova, Kh. S. Khaertynov, I. G. Idrisov, N. M. Gilfanov, A. S. Kuznetsov

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Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset by Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhiyuan Si, Xing Shu, Heng Li

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Early-stage detection of maize seed germination based on RGB image and machine vision by Xiaohang Liu, Zhao Zhang, Yunxia Li, C. Igathinathane, Jiangfan Yu, Zhaoyu Rui, Afshin Azizi, Xiqing Wang, Alireza Pourreza, Man Zhang

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Digital Mapping of Soil Equivalent Calcium Carbonate Using Landsat 8 Satellite Images and Environmental Data by Machine Learning Models in Badr Watershed, Kurdistan Province by M. Zarinibahador

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Knowledge and attitude of myopes or their guardians towards refractive surgery in Suzhou, China: a cross-sectional survey by Yifeng Qian, Liqian Mu

“…Factors influencing knowledge scores included education level (Ref. senior middle school or lower; junior college/college, OR=5.81, 95% CI 2.52 to 9.09, p=0.001; postgraduate or higher, OR=7.83, 95% CI 3.83 to 11.8, p<0.001) and survey timing (after refractive error surgery, OR=5.09, 95% CI 3.02 to 7.16, p<0.001), while attitude scores were influenced by knowledge scores (OR=0.05, 95% CI 0.03 to 0.07, p<0.001), gender (female, OR=1.24, 95% CI −2.8–−1.0, p<0.001), age (21–30 years old, OR=−1.9, 95% CI 2.52 to 9.09, p<0.001; >30 years old, OR=−2.5, 95% CI −3.5–−1.4, p<0.001) and survey timing (after refractive error surgery, OR=0.86, 95% CI 0.24 to 1.47, p=0.006).Conclusions Myopes or their guardians had positive attitudes towards refractive surgery both preoperatively and postoperatively. …”
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Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

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