Echographic criteria for the assessment of the optic nerve condition in intracranial hypertension by V. V. Neroev, T. N. Kiseleva, E. K. Eliseeva, A. V. Baeva, K. V. Lugovkina

“…The ratio coefficient (K) of ONSD/ONS makes it possible to determine IH in the early stages of the disease, even in the absence of objective clinical criteria.…”
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Study results of the parameters of winter barley adaptability according to forecrops by I. M. Zasypkina, А. А. Dontsova

“…The study was carried out from 2021 to 2023 to estimate the adaptability parameters of 20 winter barley varieties and lines developed by the FSBSI Agricultural Research Center “Donskoy” for various forecrops (weedfree fallow, peas, sunflower, winter wheat). To determine the indicators of homeostaticity (Hom) and selection value (Sc), stress resistance (Ymin–Ymax) and genetic flexibility ((Ymax+Ymin)/2), the coefficient of responsiveness to favorable growing conditions (Kr) and the indicator of the stability level of the variety (VSLI), there have been applied the methods of V.V. …”
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Cross-cultural translation and linguistic validation of the eating motivation survey among older adults in the Chinese context by Lina Wu, Lina Wu, Xi Chen, Hui Feng, Shouzhen Cheng

“…Understanding the determinants is essential for improving their adherence. …”
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Validity and Reliability of the Persian Version of the Vaccine Attitude Examination (p-VAX) Scale among Iranian Older Adults by Nastaran Talavari, Zhaleh Zandieh, Marjan Haghi, Mojtaba Azadbakht, Sorour Sarvari

“…Methods & Materials The present study was a methodological study and was conducted on 240 Persian-speaking elderly people who referred to health centers in Abadan city with available sampling . …”
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Reliability of breath-holding tests with potential for use in sports practice by František Lörinczi, Drahomíra Lörincziová, Marián Vanderka

“…An intraclass correlation coefficient (ICC) was employed to determine test-retest reliability. …”
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Evaluation of functional magnetic resonance APT and DKI imaging for breast cancer by Haiyan Shan, Tengfei Ke, Shasha Bao, Yifan Liu, Na Tan, Xinyan Zhou, Guochen Li, Guangrong Zheng, Yongzhou Xu, Yu Xie, Chengde Liao, Jun Yang

“…Methods The study included 168 women who underwent breast APTWI and DKI at Yunnan Cancer Hospital between December 2022 and July 2023. …”
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Design of a Modular Wall-Climbing Robot with Multi-Plane Transition and Cleaning Capabilities by Boyu Wang, Weijian Zhang, Jianghan Luo, Qingsong Xu

“…It provides a new approach for wall-climbing robots to collaborate during wall transitions through a quick attachment-and-disassembly device and an efficient wall detection method.…”
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A Machine Vision Approach for Grain Quality Control During Separation by Serhii Stepanenko, Alvian Kuzmych, Serhii Kharchenko, Boris Andrey, Viktor Dnes, Daryna Volyk, Roman Kalinichenko

“…The developed method for evaluating the quantitative content of fractions in grain material allowed for determining the contamination of grain in the separation processes using the experimentally evaluated relative weight coefficients of the main five fractions for wheat grain materials. …”
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Plane tree risk assessment in urban space using Artificail Neural Network by Mozdeh Nafian, Mohsen Bahmani, Elham Ghehsareh Ardestani, Ali Soltani

“…In general, the two variables of the trunk and root wounding, as well as branch and twig dieback, were among the most important variables in terms of risk assessment of the plane trees. The high coefficient of determination values of training, validation, verification, and finally, all neural network data (0.999, 0.949, 0.996, and 0.991) and the least mean square error values (training data = 0.052, verification 0.114, and validation = 0.044) indicated the accuracy and desirability of the ANN in the prediction of the risk classes for street side trees. …”
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UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

“…Additionally, partial least squares regression (PLS-R) was utilized to predict the honeydew content for each pixel in hyperspectral images, achieving a cross-validation coefficient of determination <i>R</i>² = 0.75 and root mean square error of RMSE = 0.8 for the honey model. …”
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CNN-LSTM-Attention with PSO optimization for temperature and fault prediction in meat grinder motors by Yao Zhang, Pengfei Zhang, Wenchao Zhang, Mingwei Wang

“…Experimental results show that the mean absolute error (MAE) is reduced by 0.5656 and the coefficient of determination (R 2 ) is increased by 0.0619 in the CNN-LSTM-AP compared with other 5 prediction models. …”
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Structure Optimization and Performance Simulation of a Double-Disc Fertilizer Spreader Based on EDEM-CFD by Mingxiong Ou, Guanqun Wang, Ying Lu, Zhengji Zhang, Huijie Pan, Weidong Jia, Xiang Dong

“…To address practical issues, such as uneven fertilizer distribution and poor particle dispersion, during the operation of a centrifugal double-disc fertilizer spreader, a discrete element method (DEM) simulation was initially performed. In this simulation, the blade inclination angle, fertilizer discharge offset angle, and spreading height were selected as experimental factors. …”
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Assessing above ground biomass of Wunbaik Mangrove Forest in Myanmar using machine learning and remote sensing data by Win Sithu Maung, Satoshi Tsuyuki, Takuya Hiroshima, San San Htay

“…The results revealed that the RF model outperformed the other models, yielding a higher coefficient of determination (R2) of 0.33 and a Root Mean Square Error (RMSE) of 32.05 Mg ha−1. …”
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Application of multi-layer discrete anisotropic radiative transfer model in vertical distribution inversion of maize leaf area index by DONG Zhen, YANG Guijun, SUN Lin, YANG Hao, ZHU Yaohui, LEI Lei, CHEN Riqiang, ZHANG Chengjian, LIU Miao

“…The results showed that the accuracy of the constraint optimization inversion model was higher than that of the single parameter inversion model. The coefficient of determination (R²) of LAI inversion results for top layer of maize increased by 0.022, root-mean-square error (RMSE) decreased by 0.016 m²/m², and normalized root-mean-square error (NRMSE) decreased by 1.3%. …”
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Análise de conglomerados em curvas de aprendizado para formação de agrupamentos homogêneos de trabalhadores Cluster analysis of learning curves for grouping workers with homogeneou... by Renato Eduardo Stroieke, Flavio Sanson Fogliatto, Michel Jose Anzanello

“…The largest Adjustment Index (AI), derived from the Silhouette Index and Coefficient of Determination, indicates the model yielding superior adherence to data and better clustering of learning profiles. …”
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The Effect of the Direct Instruction Learning Model on Student Learning Outcomes on Theme 3 Healthy Food at Class V of State Primary School by Endang Lumban Gaol, Patri Janson Silaban, Anton Sitepu, Antonius Remigius Abi, Nova Florentina Ambarwati

“… This paper discusses the effect of the direct instruction learning model on student learning outcomes on theme 3 Healthy Food at class V of SD Negeri 173418 Pollung in the academic year 2023/2024. The research method used was an experimental method with a one-group pretest-posttest research design. …”
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Sociological Study of the Effect of Social Capital on Women's Social Vitality (Case study: Women in Tehran) by Mahboubeh Zarreh Parvar Tali, Faizollah Nouroozi, Abdolreza Adhami

“…The findings of the research confirm the existence of a significant relationship between social capital and social vitality with a determination coefficient of 0.233. Women living in the modern area of Tehran have the highest level of social capital. …”
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Analyzing New Quality Productive Forces in New Energy Vehicle Companies Based on a New Multi-Criteria Decision Analysis Model by Guozhen Hua, Fanlong Zeng, Huaping Sun

“…The PROBID method was employed to rank companies based on their NQPF, identifying differences between them. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…Specifically, the method employs MAD as a dispersion measure, which serves as the key metric for determining the most appropriate dimension along which the particle data should be reordered. …”
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Numerical simulation of multi-principal elements high-entropy alloy milling based on minimal quantity lubrication by Yanwei WU, Yin LIU, Xingwei SUN, Heran YANG, Zhixu DONG, Weifeng ZHANG

“…This study utilizes minimal quantity lubrication (MQL) technology for milling HEA to improve their machining performance and explore the influences of different milling parameters on their milling force. MethodsThe thermodynamic coupling milling model of HEA (CoCrFeNiMn) and a four-edge end milling cutter is established using finite element simulation software. …”
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