A New Hyperspectral Image Identification Method Based on LSDA and OSELM by Chengjiang Zhou, Mingli Yang, Sasa Duan, Lu Shao, Zhilin Zhang, Yunfei Liu

“…The proposed method improves the generalization ability and accuracy of hyperspectral image target recognition models. …”
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Effect of the Amount of Mineral Powder on the Ultraviolet Aging Properties of Asphalt by Xiangbing Xie, Shenjia Tong, Yabi Ding, Hongni Liu, Linyuan Liang

“…The GPC results show that the molecular weight distribution coefficient (Mw/Mn) of the SBS-asphalt-filler mastic is 1.0 and that of the matrix asphalt-filler mastic is 1.2, which is the largest. …”
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Electrochemical deposition of tin-copper alloy coatings by D. Y. Gulpa, I. I. Kuzmar, L. K. Kushner, N. V. Dezhkunov, A. A. Khmyl

“…With an increase in the intensity from 0.12 to 0.95 W/cm2  the amount of copper in the coating increases by 4.5 times. The spreading coefficient of the solder is 92.59–98.44 %.…”
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A Noninvasive Vein Finder Based on a Tuned Microwave Loop Resonator by Sen Bing, Khengdauliu Chawang, J.-C. Chiao

“…The sensor is a tuned loop resonator with a radius of 4.7 mm, incorporating a self-tuning pad and operating at 3.25 GHz with a reflection coefficient of <inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>58 dB. …”
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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…We investigate the differences between these two methods in terms of their ability to select the best fitting atlases. The findings demonstrated that MAS-FASA selected different atlases than MAS-SIM, resulting in improved segmentation performance overall. …”
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Addressing pathological deficiencies in the simulation of complex charged fluids using neural network force fields by Hadrián Montes-Campos, Martín Otero-Lema, Trinidad Méndez-Morales

“…Moreover, we validate our results by comparing them with previous predictions of the equilibrium coefficient for the same system, finding a strong agreement.…”
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Seasonal forecasting of Pan-Arctic sea ice with state space model by Wei Wang, Weidong Yang, Lei Wang, Guihua Wang, Ruibo Lei

“…Specifically, IceMamba outperforms all tested models regarding average RMSE and anomaly correlation coefficient (ACC) and ranks second in Integrated Ice Edge Error (IIEE). …”
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Application of Machine Learning to Statistical Evaluation of Artificial Rainfall Enhancement by Li Dan, Lin Wen, Liu Qun, Feng Hongfang, Hu Shuping, Wang Zhihai

“…Comparison results show that the ADAM optimizer model is the best with the RMSE of 0.61 mm, and its ability to estimate natural rainfall in the affected area is enhanced, by which method the disturbance of the heavy rainfall center will be reduced.…”
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The Influences of Meteorological Factors on Mapping Forest Stock Volume With Sentinel-1 Images by Xunwei Li, Jiangping Long, Hui Lin, Tingchen Zhang, Huanna Zheng

“…Synthetic aperture radar (SAR) has a distinct advantage over optical remote sensing due to its ability to map forest stock volume (FSV) relatively accurately in complex forests, while being less affected by weather conditions. …”
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Downscaling of the surface temperature forecasts based on deep learning approaches by Guangdi Chen, Xiefei Zhi, Shuyan Ding, Gen Wang, Liqun Zhou, Dexuan Kong, Tao Xiang, Yanhe Zhu

“…By comparing the Nash‐Sutcliffe Efficiency coefficient (NSE), pattern correlation coefficient (PCC), root mean square error (RMSE), and peak signal‐to‐noise ratio (PSNR), we found that SRGAN demonstrated the best performance among the four methods. …”
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Dynamic Changes in and Driving Factors of Soil Organic Carbon in China from 2001 to 2020 by Fuyan Zou, Min Yan, Liankai Zhang, Jinjiang Yang, Guiren Chen, Keqiang Shan, Chen Zhang, Xiongwei Xu, Zhenhui Wang, Can Xu

“…The results showed the following: (1) Compared with previous studies, the predictive ability of the 0–100 cm depth model was greatly improved; the coefficient of determination (R²) was 0.61 and Lin’s concordance correlation coefficient (LCCC) was =0.76. (2) From 2001 to 2020, China’s soil organic carbon stocks (SOCS) were 38.11, 39.11, 39.88, 40.16, and 41.12 Pg C for the 0–20 cm depth and 110.49, 112.67, 112.80, 113.06, and 114.96 Pg C for the 0–100 cm depth, respectively. (3) The effects of temperature and precipitation on SOCD in China showed obvious regional variability, and land use changes had mainly positive effects on SOCD in all regions of China, which was related to the large-scale implementation of ecological protection and restoration and the policy of returning farmland to forests and grasslands in China. …”
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Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study. by Xueliang Guo, Lin Sun

“…The computational efficiency and the ability to handle long-distance dependencies of the model make it particularly suitable for applications in clinical Settings. …”
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Silage Maize Identification Using a Temporal Difference-Based Model with Sentinel-2 Data: Insights from a Harvest-Based and Temporally Transferable Approach by Zhenyu Lin, Ran Huang, Sihan Tan, Lingbo Yang, Jingfeng Huang, Lijun Su, Zhichao Hu

“…After iterative threshold optimization, the decision tree model achieved an overall accuracy of 0.9291 and a Kappa coefficient of 0.8923, indicating robust classification performance. …”
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Pedagogical education as an area to form teacher inclusive dispositions by V. Z. Kantor, Yu. L. Proekt, A. P. Antropov, I. E. Kondrakova

“…On the basis of informed consent, the students filled out online forms (Yandex Form), which included a set of 4 authored and adapted questionnaires and tests.The empirical data obtained were processed by frequency, comparative and multivariate analysis, using the median test, Spearman’s rank correlation coefficient. The analysis of the structure of professional dispositions and the internal consistency of the constructed scales was carried out using the Cronbach’s alpha coefficient and confirmatory factor analysis. …”
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Effects of Acute Stress on Metabolic Interactions Related to the Tricarboxylic Acid (TCA) Cycle in the Left Hippocampus of Mice by Chang-Soo Yun, Yoon Ho Hwang, Jehyeong Yeon, Hyeon-Man Baek, Dong Youn Kim, Bong Soo Han

“…This response involves time-dependent changes in hormones and neurotransmitters, which contribute to resilience and the ability to adapt to acute stress while maintaining homeostasis. …”
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Relationships between the concentration of particulate organic nitrogen and the inherent optical properties of seawater in oceanic surface waters by A. Fumenia, H. Loisel, R. A. Reynolds, D. Stramski

“…This analysis is based on an extensive field dataset of concurrent measurements of PON and particulate IOPs in the near-surface oceanic waters and shows that reasonably strong relationships hold across a range of diverse oceanic and coastal marine environments. The coefficients <span class="inline-formula"><i>a</i>_p(<i>λ</i>)</span> and <span class="inline-formula"><i>a</i>_ph(<i>λ</i>)</span> show the best ability to serve as PON proxies over a broad range of PON from open-ocean oligotrophic to coastal waters. …”
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Research on ecological compensation of coupling improved ecosystem service value-ecological footprint model in Shaanxi Province, China by Junhua Wei, Na Wei, Kunming Lu, Xiao Zhang, Lei Zhang, Fei Gao, Kaixuan Ji, Yujin Yang

“…Existing studies predominantly focus on single ecosystems, often neglecting the supply-demand relationship between human and nature, the ability to pay compensation amount and the economic development level at the same time, resulting in poor operability.MethodsIn view of this, this paper introduces the adjustment coefficient of payment capacity and the adjustment coefficient of economic level to modify ecosystem service value (ESV). …”
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Transition to emergency distance learning amid COVID-19 pandemic through the lens of students’ subjective experience of the transformation of university learning environment by E. I. Kazakova, I. E. Kondrakova, Yu. L. Proekt

“…The survey results were analysed qualitatively and quantitatively using the Cronbach Alpha coefficient, the Spearman’s rank correlation coefficient, and the Pearson’s chi-squared test. …”
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Analysis of the Influence of Different Turbulence Models on the Prediction of Vehicle Aerodynamic Performance by Luwei Wang, Xingjun Hu, Peng Guo, Zirui Wang, Jingyu Wang, Yuqi Wang, Yan Ma, Ying Li, Jing Zhao, Xu Yang, Ruixing Ma, Yinan Zhu, Jianjiao Deng

“…The k-ε model best predicts the steady-state drag coefficient (Cd) (error 0.0009). DES excels in transient conditions (Cd error −0.4%, lift coefficient Cl matching experiments). …”
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Advanced QT interval analysis in long-term electrocardiography using shape-based clustering and template matching: A novel approach for Holter monitoring by Kaoru Hatano, Tomohiro Takata, Mineki Takechi, Akane Wada, Hirohisa Taniguchi, Yuichi Tamura

“…The reliability of the algorithm was quantified using the Intraclass Correlation Coefficient. For the QT interval, the Intraclass Correlation Coefficient (2,1) was 0.9 [95 % CI: 0.89, 0.91], and for the QTcB interval, it was 0.82 [95 % CI: 0.80, 0.84], both reflecting high reliability. …”
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