Optimization, Design, and Implementation of Biodiversity-Focused Fisheries Survey Stations: A Case Study of the Coastal Waters of Maoming by Yuexiu DENG, Yongheng HUANG, Jianyu DONG, Ning CHEN, Jing ZHANG, Xuefeng WANG

“…Additionally, the precision requirements are expressed using the coefficient of variation (CV) for each target variable. …”
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A phenomenological study of knowledge concealment in country water and sewage engineering company by Gholamreza Moghadasi, Hamidreza Rezaei Kelidbari, Mohammad Doostar

“…The current research was conducted using the qualitative method and based on the phenomenological approach. …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…According to its purpose, the research method is applicable; and mixed (qualitative-quantitative) in terms of its implementation. …”
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State-of-Health Estimation for Lithium-Ion Batteries via Incremental Energy Analysis and Hybrid Deep Learning Model by Yan Zhang, Anxiang Wang, Chaolong Zhang, Peng He, Kui Shao, Kaixin Cheng, Yujie Zhou

“…The Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) for the lithium battery pack were 0.3910 and 0.4797, respectively, with an average coefficient of determination (R²) exceeding 99%. …”
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Contactless monitoring of respiratory rate (RR) and heart rate (HR) in non-acuity settings: a clinical validity study by Muralidhar Varma, Manikanda Krishnan Vaidyanathan, Joseph Thomas, Trevor Sequeira, Navaneetha Krishnan S Naidu, Yogish Mallya, Amarendranath Sunkara, Praveen Patil, Nagaraj Poojary, Benoît Balmaekers, Shankar Prasad N, Sulochana Badagabettu

“…Contactless RR monitoring was linearly correlated with Alice NightOne and manual counts, presenting coefficients of determination of 0.88 and 0.90, respectively. …”
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Invited review: Limitations to current mineral requirement systems for cattle and potential improvements by W.P. Weiss, S.L. Hansen

“…The factorial method works well for Ca and P because adequate data are available to estimate absorption coefficients (AC) and maintenance requirements. …”
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Rapid On-site Detection of Microleakage of Lithium Battery Electrolytes by Vacuum-Assisted Volatilization-Portable Gas Chromatography-Mass Spectrometry by Xin-xin LU, Shuo ZHANG, Kai XU, Jun-wei QIU, Hui-jun ZHU, Yu-lin CHEN, Xiao-xu LI

“…Portable chromatography-mass spectrometer has the advantages of high efficiency, small size, light weight, and low power consumption, and is suitable for on-site determination of volatile organic compounds (VOCs). In this study, a vacuum-assisted volatilization system was developed, and a rapid on-site analytical method for microleakage of lithium battery electrolyte was established based on adsorption/thermal desorption-portable gas chromatography-mass spectrometry (ATD-GC-MS). …”
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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…Using long short-term memory (LSTM) neural networks as predictive models, the results yield coefficient of determination (R2) values of 0.81 and 0.96, root mean square error (RMSE) values of 5.91 mm/min and 3.09 mm, and average bias factor values of 0.99 and 0.88 for the P and S predictive models, respectively, based on validation datasets. …”
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THE PROPOSAL MODEL OF RATIONAL WORKFORCE ASSIGNMENT IN DOKUZ EYLUL UNIVERSITY BY ANALYTIC HIERARCHY PROCESS BASED 0-1 INTEGER PROGRAMMING by Yılmaz GÖKŞEN, Hakan AŞAN, Onur DOĞAN, Mustafa ÜNLÜ, Osman PALA

“…Specific criteria have been determined for each occupational group depending on this method. …”
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Analysis of organic acids in high-temperature Daqu based on UPLC-MS/MS technology by NIE Ye, JIAO Fu, LI Daixin, FANG Cheng, LI Qiaoyu, SUN Shiguang, XIAO Xu, TAN Xue, CHEN Maofei, MOU Mingyue

“…A method for simultaneous determination of 11 organic acids (citric acid, isocitric acid, tartaric acid, succinic acid, malic acid, malonic acid, lactic acid, adipic acid, maleic acid, fumaric acid and ascorbic acid) in high-temperature Daqu was established using ultra-high performance liquid chromatography triple quadrupole tandem mass spectrometry (UPLC-MS/MS). …”
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Winter Wheat Canopy Height Estimation Based on the Fusion of LiDAR and Multispectral Data by Hao Ma, Yarui Liu, Shijie Jiang, Yan Zhao, Ce Yang, Xiaofei An, Kai Zhang, Hongwei Cui

“…The model training results showed that the OP-RF model provided the best performance across all three growth stages of wheat. The coefficient of determination values were 0.921, 0.936, and 0.842 at the GUS, JS, and BS, respectively. …”
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Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients by Paulo Cezar de Moraes, Maria Lúcia Scroferneker, Alessandra Koehler, Letícia Maria Eidt, Cristiane Almeida Soares Cattani, Valeriano Antonio Corbellini

“…The PLS model with three latent variables and one OSC component obtained a coefficient of determination greater than 0.9999 in both the calibration and prediction sets. …”
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Improving agricultural commodity allocation and market regulation: a novel hybrid model based on dual decomposition and enhanced BiLSTM for price prediction by Lihua Zhang, Fushun Wang, Fushun Wang, Kejian Wang, Kejian Wang, Zhenxue He, Zhenxue He, Chen Chen, Chen Chen, Jiahao Liu, Jiahao Liu, Chao Wang, Chao Wang, Zhe Wang

“…The experimental results indicate that the proposed SV-PSO-BiLSTM hybrid model achieves average values of 0.2241 for root mean square error (RMSE), 0.1665 for mean absolute error (MAE), 0.0207 for mean absolute percentage error (MAPE), and 0.9851 for the coefficient of determination (R2). These results surpass those of other comparative models, demonstrating stronger generalization, reliability, and stability. …”
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Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data by Z. Wang, Z. Wang, L. Bugliaro, K. Gierens, M. I. Hegglin, M. I. Hegglin, S. Rohs, A. Petzold, S. Kaufmann, C. Voigt, C. Voigt

“…The ANN shows excellent performance, and the predicted RHi in the UT has a mean absolute error (MAE) of 5.7 % and a coefficient of determination (<span class="inline-formula"><i>R</i>²</span>) of 0.95, which is significantly improved compared to ERA5 RHi (MAE of 15.8 %; <span class="inline-formula"><i>R</i>²</span> of 0.66). …”
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Research on the Formation Characteristics of Fog and Frost on Optical Windows of Unsealed Equipment Compartments in Aircrafts by Chun Shen, Yuanyuan Liang, Bo Wei, Chengchun Zhang, Tian Zhao

“…In this approach, the formation and dissipation of fogging and frosting layers is directly determined by the saturation of the water vapor surface, and it does not depend on any empirical coefficients. …”
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Online identification of stability region for large-scale wind farms, Part I: Clustering based piecewise affine impedance modeling by Jia Luo, Peng Wang, Haoran Zhao, Chenxinwei Yuan, Tiancheng Liu, Vladimir Terzija

“…By locating the operating point in the partitions of the parameter space, the coefficients of the first-order affine models can be determined. …”
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Development of a thrombin-antithrombin complex detection kit and study in venous thromboembolism complicated by cervical cancer by Yanru Qiu, Shuang Han, Yu Ji, Zhixian Lu, Xuan Huang

“…Furthermore, the correlation coefficient of this method with Hyson Mecon was R2 = 0.9683. …”
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Cinética de secagem de sementes de crambe Drying kinetics of crambe seeds by Rute Q. de Faria, Itamar R. Teixeira, Ivano A. Devilla, Diego P. R. Ascheri, Osvaldo Resende

“…The treatments were five water contents (0.11; 0.13; 0.17; 0.25 and 0.28 decimal dry weight) and five drying temperatures (30; 40; 50; 60 and 70 ºC). To determine the adjustment of the studied models a non linear regression analyses was performed according to Quasi-Newton method. …”
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Combining machine learning with UAV derived multispectral aerial images for wheat yield prediction, in southern Brazil by Henrique dos Santos Felipetto, Erivelto Mercante, Octavio Viana, Adão Robson Elias, Giovani Benin, Lucas Scolari, Arthur Armadori, Diandra Ganascini Donato

“…The Linear Regression algorithm, combined with the RGB indices, showed the best performance in the initial and final phases of the crop, with coefficients of determination (R2) of 0.61 and 0.58, respectively. …”
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Decoding the Cognitive Footprint of Autism: Unveiling the Nexus between Autism Spectrum Disorder and Cognitive Abilities in Children with Special Needs by Heni Dwi Windarwati, Retno Lestari, Ridhoyanti Hidayah, Haliza Hasan, Mira Wahyu Kusumawati, Niken Asih Laras Ati, Irhamna Nias Selena, Bergita Dumar, Gemi Rahayu, Asri Maharani

“…This study aimed to determine the relationship between autism status in children with special needs and their cognitive abilities. …”
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