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  1. 26661

    Multi-Temporal Image Fusion-Based Shallow-Water Bathymetry Inversion Method Using Active and Passive Satellite Remote Sensing Data by Jie Li, Zhipeng Dong, Lubin Chen, Qiuhua Tang, Jiaoyu Hao, Yujie Zhang

    Published 2025-01-01
    “…Next, multiple images captured at different times are fused to remove noise caused by water surface fluctuations and surface vessels. Finally, ICESat-2 laser altimeter data are fused with multi-temporal Sentinel-2 satellite data to construct a machine learning framework for coastal bathymetry. …”
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  2. 26662

    Individual differences in training time in the rat gambling task are unrelated to subsequent decision-making strategies by Frida A. Lindberg, Christakis Kagios, Christakis Kagios, Nikita Tjernström, Erika Roman, Erika Roman

    Published 2025-01-01
    “…The rat gambling task (rGT), based on the IGT, is a preclinical test using varying number of palatable reinforcers as wins and different duration of timeouts as punishment, mimicking losses. …”
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  3. 26663

    Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network by Xue Yan, Xiangwu Deng, Shouheng Sun

    Published 2020-01-01
    “…Based on the summary and analysis of previous research works, this article expounded the research status and significance of early warning for human resource management risks, elaborated the development background, current status, and future challenges of the BP neural network, introduced the method and principle of the BP neural network’s connection weight calculation and learning training, performed the risk inducement analysis, index system establishment, and network node selection of human resource management, constructed an early warning model of human resource management risk based on the BP neural network, conducted the risk warning model training and detection based on the BP neural network, and finally carried out a simulation and its result analysis. …”
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  4. 26664

    Study on Deflection of Surrounding Rock Force Chain and Disaster Mechanism of Instability in Deep Stope by Guang-Xiang Xie, Anying Yuan, Lei Wang

    Published 2020-01-01
    “…The main mechanical characteristics of the force chain shell were as follows: the strength levels of the force chains within the shell were the largest; the strength levels of the force chains inside and outside the shell were relatively low and had evolved with the advancement of the working face; the directions of the force chains in different areas of the surrounding rock masses of the stope were deflected, forming an anisotropic characteristic with a certain deflection angle which was distributed in the vertical direction at the shell base; the force chains at the shell shoulder were angled in the horizontal direction, and the force chain at the shell top had an obvious horizontal direction; finally, the strong chain clusters of the surrounding rock masses of the stope formed a force chain shell in the stope space, and the stress shell was the macroscopic embodiment of the force transference in the force chain shell formed by the force chain clusters, which revealed not only the mechanical mechanism of the force chain shell formed by the surrounding rock but also the relationship between the macro stress shell and the stress chain shell. …”
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  5. 26665

    CORRELATION BETWEEN EFL STUDENTS’ PERCEIVED LINGUISTIC PROFICIENCY AND THEIR LEVEL OF CONFIDENCE IN USING ENGLISH by Mohammad Suleiman Mohammad Amro, Mahendran Maniam

    Published 2019-06-01
    “…The group of students who are 'a little confident' are significantly different from 'hardly confident' students and 'confident' students. Finally, the group of students who are 'confident' differ significantly from the two groups of students who are 'hardly confident' and ‘a little confident’. …”
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  6. 26666

    Remote Mapping of Bedrock for Future Cosmogenic Nuclide Exposure Dating Studies in Unvisited Areas of Antarctica by Jonathan R. Adams, Philippa J. Mason, Stephen J. Roberts, Dylan H. Rood, John L. Smellie, Keir A. Nichols, John Woodward, Joanne S. Johnson

    Published 2025-01-01
    “…Supervised classification results indicate WV-3 performs well at differentiating felsic and mafic rock types and that ASTER, while coarser, could also achieve satisfactory results and be used in concert with more targeted WV-3 image acquisitions. Finally, we present a revised felsic–mafic geological map for Mt Murphy. …”
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  7. 26667

    The dynamic interplay of opposites in zoroastrianism by Florentin Smarandache

    Published 2024-02-01
    “…Moreover, this exploration highlights the need for a more flexible and nuanced understanding of conceptual boundaries, acknowledging the dynamic and indeterminate nature of many philosophical and logical constructs. Finally, we delve into the application of neutrosophy to various cultural and philosophical concepts. …”
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  8. 26668

    Adapted Swin Transformer-based real-time plasma shape detection and control in HL-3 by Qianyun Dong, Zhengwei Chen, Rongpeng Li, Zongyu Yang, Feng Gao, Yihang Chen, Fan Xia, Wulyu Zhong, Zhifeng Zhao

    Published 2025-01-01
    “…Specifically, the well-trained PST model capably infers R and Z within the mean average error below 1.1 cm and 1.8 cm, respectively, while requiring less than 2 ms for end-to-end feedback, an 80% improvement over the smallest Swin Transformer model, laying the foundation for real-time control. Finally, we deploy the PST model in the Plasma Control System using TensorRT, and achieve 500 ms stable PID feedback control based on the PST-computed horizontal displacement information. …”
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  9. 26669

    Adsorption of Chromium (VI) by Cu (I)-MOF in Water: Optimization, Kinetics, and Thermodynamics by Hongxue Qi, Xianjun Niu, Haipeng Wu, Xiuping Liu, Yongqiang Chen

    Published 2021-01-01
    “…Subsequently, the thermodynamic parameters of the adsorption were calculated as follows: enthalpy change (ΔHθ) was −8.583 kJ·mol−1, entropy change (ΔSθ) was −8.243 J·mol−1 K−1, and the Gibbs function change (ΔGθ) was less than zero in the temperature range of 288–328 K, indicating that the reaction was spontaneous. Finally, both the spectra of infrared and XPS supported the adsorption mechanism that belonged the ion exchange. …”
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  10. 26670

    Enhancing environmental models with a new downscaling method for global radiation in complex terrain by A. Druel, J. Ruffault, H. Davi, A. Chanzy, O. Marloie, M. De Cáceres, A. Olioso, F. Mouillot, C. François, K. Soudani, N. K. Martin-StPaul

    Published 2025-01-01
    “…The downscaling algorithm improved the reliability of radiation at the study site, in particular at scales below 150 m. Finally, by using two different PBMs (CASTANEA, a PBM simulating tree growth, and SurEau, a plant hydraulic model simulating hydraulic failure risk), we showed that accounting for fine-resolution radiation can have a great impact on predictions of forest functions.…”
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  11. 26671

    Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning by Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng, Shensong Wang

    Published 2019-01-01
    “…Through the BP neural network adaptive learning, tool state recognition model is finally established. The results show that the correct recognition rate of BP network model after samples training is 92.59%, which can more accurately and intelligently monitor the tool wear state.…”
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  12. 26672

    Driving force analysis and multi-scenario simulation of landscape ecological risk in the Jianghan Plain, China by Heng Liu, Lu Zhou, Diwei Tang

    Published 2025-01-01
    “…In this study, the landscape ecological risk (LER) index was constructed by integrating landscape indices from 2000 to 2020, firstly analyzing its spatiotemporal characteristics, subsequently identifying the key influencing factors by using the GeoDetector model, and finally, simulating the risk changes under the four scenarios by using the Markov-PLUS model. …”
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  13. 26673

    PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

    Published 2024-11-01
    “…The former two are the core components to leverage the physical information. Finally, to comprehensively evaluate PGTransnet, we conduct rich experiments in metrics RMSE, Anomoly Correlation Coefficients, Bias and physical consistency. …”
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  14. 26674

    A simple and reliable method for claustrum localization across age in mice by Tarek Shaker, Gwyneth J. Dagpa, Vanessa Cattaud, Brian A. Marriott, Mariam Sultan, Mohammed Almokdad, Jesse Jackson

    Published 2024-02-01
    “…At neonatal stages between 7 and 21 days, claustrum projection neurons were identified by their Nurr1-postive/Tle4-negative expression profile, a time-period when other immunolabelling techniques used to localize the claustrum in adult mice are ineffective. Finally, exposure to environmental novelty enhanced the expression of the neuronal activation marker c-Fos in the claustrum region. …”
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  15. 26675

    Granulomatosis with Polyangiitis in Adolescence: Two Distinct Presentations by Rafael Figueiredo, Inês Pires Duro, António Marinho, Conceição Mota, Margarida Guedes, Carla Zilhão

    Published 2021-01-01
    “…In a twelve-year-old female with inflammatory signs of the limbs, investigation showed myositis of the thigh and tenosynovitis of the wrist, normocytic normochromic anemia (Hg 9.4 g/dL), mild elevation of inflammatory markers, and high creatine kinase. During hospitalization, she presented an extensive alveolar hemorrhage associated with severe anemia and positive C-ANCA and anti-PR3. …”
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  16. 26676

    Monitoring the impact of global warming on wheat cultivation in the Mughan Plain (Germi) Using the atmospheric circulation model by bromand Salahi, vahid safarian zangir

    Published 2023-03-01
    “…In the present study, to monitor the effect of global warming on precipitation fluctuations, as well as in the production and cultivation of wheat crop in Moghan plain, the LARS-WG model and the HADCM3 climate model output under A1B scenario as well as climate data (minimum temperature, maximum temperature, precipitation and Daily Sunshine) The Germys station was used over a 14 year period (2004-2007).The results of the research show that by comparing the monthly mean of these parameters, this result was obtained that at confidence level 1 there is not a significant difference between the simulation data from the model and observational data in the base period and the mean The climatic parameters of the data obtained from the model and the actual data are similar and there is a high correlation between them. Finally, by comparing observational monthly meanings and modeling of climatic elements of precipitation, minimum and maximum temperatures and sunshine were shown using statistical parameters RMSE, MAE, NA and R2 The model (LARS-WG5) is used to accurately simulate daily data in the parameters of the Mughan Plain, Ardebil province. …”
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  17. 26677
  18. 26678

    Wiews of the nation's memories: A stereotyped vision of the Lithuanian history of the 20th century in Lithuanian documentary films by Rūta Šermukšnytė

    Published 2005-06-01
    “…Such tendencies have been observed in representing the most important historical events and processes for the Lithuanian statehood of the 20th century - namely, the occupation of Vilnius and Klaipeda, the restitution of Vilnius, the annexation of Lithuania by the Soviet Union, collectivization, the National Revival Movement "Atgimimas" of 1991, and finally, the events of January 13th. …”
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  19. 26679
  20. 26680

    Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis by Bojun Xu, Lei Wang, Huakui Zhan, Liangbin Zhao, Yuehan Wang, Meng Shen, Keyang Xu, Li Li, Xu Luo, Shasha Zhou, Anqi Tang, Gang Liu, Lu Song, Yan Li

    Published 2021-01-01
    “…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were carried out to determine the molecular mechanisms of DEGs involved in the progression of DN. Finally, the Nephroseq v5 online platform was used to explore the correlation between hub genes and clinical features of DN. …”
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