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  1. 721

    Justification of advisability of using physical factors in the treatment of patients with allergic rhinitis and associated bronchial asthma by T. N. Zaripova, A. V. Starokha, A. V. Davydov, M. A. Sinyagina, S. S. Antipova, S. S. Shakhova, D. I. Kuzmenko, A. A. Poluektova

    Published 2012-06-01
    “…The efficiency of treatment of patients with allergic rhinitis and associated bronchial asthma by physical factors and advisability of two-stage treatment are justified. …”
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  2. 722

    Stochastic Models Applied to the Forecasting and Management of Residual Woody Forest Biomass: Approaches, Challenges, and Practical Applications by Leonel J. R. Nunes

    Published 2025-04-01
    “…Stochastic models can be used for predicting the availability of residual woody forest biomass, considering the variability and uncertainty associated with climatic, operational, and economic factors. These models, such as ARIMA, GARCH, state transition models, and Monte Carlo simulations, are widely used to capture seasonal patterns, dynamic variations, and complex uncertainties. …”
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  3. 723

    Distance Measurement and Error Compensation of High-Speed Coaxial Rotor Blades Based on Coded Ultrasonic Ranging by Yaohuan Lu, Shan Zhang, Wenchuan Hu, Zhen Qiu, Zurong Qiu, Yongqiang Qiu

    Published 2024-12-01
    “…In this paper, a blade tip distance measurement method based on coded ultrasonic ranging and phase triggering is proposed to tackle this measurement environment and expand the application of ultrasonic ranging in high-speed dynamic measurement. …”
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  4. 724
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    The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review. by Chuxuan Li, Hao Zhang, Yuan Zhang, Jing Shen, Ruopeng An

    Published 2025-01-01
    “…The random forest model, based on four factors, reached an accuracy of 93.81%, while the voting regression ensemble model achieved 93.3%. …”
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    Article
  7. 727
  8. 728

    Application of intuitive fuzzy MABAC method in optimizing favorable areas of low permeability carbonate gas reservoirs by MIN Chao,LI Yingjun,LI Xiaogang,HUA Qing,ZHANG Na

    Published 2024-08-01
    “…This model uses intuitionistic fuzzy data instead of precise information, enhancing the selection process for favorable areas. The application of this model on ten candidate blocks indicated that Block C is the most favorable, outperforming others in terms of remaining dynamic reserves, effective reservoir thickness, and other crucial indicators. …”
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  9. 729

    Avalanche Hazard Dynamics and Causal Analysis Along China’s G219 Corridor: A Case Study of the Wenquan–Khorgas Section by Xuekai Wang, Jie Liu, Qiang Guo, Bin Wang, Zhiwei Yang, Qiulian Cheng, Haiwei Xie

    Published 2025-07-01
    “…Methodologically, statistical modeling and RAMMS::AVALANCHE simulations revealed spatiotemporal and dynamic characteristics of avalanches. Subsequent application of the Certainty Factor (CF) model and sensitivity analysis determined dominant controlling factors and quantified zonal influence intensity for each parameter. …”
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  10. 730

    Biochemical and biophysical cues of the extracellular matrix modulates stem cell fate: Progress and prospect in extracellular matrix mimicking biomaterials by Anuska Mishra, Unnati Modi, Rahul Sharma, Dhiraj Bhatia, Raghu Solanki

    Published 2025-06-01
    “…We further explore how the biophysical and biochemical factors of the ECM modulate specific transmembrane receptors, triggering intracellular signaling mechanisms that regulate cell morphology, cytoskeletal dynamics, viability, migration, and differentiation. …”
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  11. 731
  12. 732

    Presenting the model of factors affecting the resilience of entrepreneurial behavior in Technical and Vocational University of Alborz province by Ali Abdi Jamayran, Manouchehr Niknam, Hasan Rangriz

    Published 2024-08-01
    “…The purpose of this research is to provide a model of factors affecting the resilience of entrepreneurial behavior in Alborz Technical and Vocational University. …”
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  13. 733
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    Transformation in the Forest Ecosystem of Northeastern China Driven by Human Factors Over the Past 1600 Years by Yong Luo, Xin Zhou, Sihan Sun, Xiaoyan Liu, Shiwei Jiang, Anze Chen, Xuanqiao Liu, Hongfei Zhao, Min Ding, Liqiang Xu, Xiaolin Zhang, Zhuoya Zhang

    Published 2025-05-01
    “…The findings reveal that from 480 to 1930 CE, natural factors primarily governed forest dynamics, allowing for a stable adaptation of mixed coniferous and broadleaved species to climate fluctuations. …”
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  16. 736

    Assessing the impact of economic and energy factors on CO₂ emissions: a case study of Saudi Arabia by Reem A. Alqahtani

    Published 2025-03-01
    “…This study seeks to evaluate the applicability of the Environmental Kuznets Curve (EKC) hypothesis in the Saudi Arabian context, a country characterized by its oil-dependent and resource-abundant economy from 1980 to 2022. …”
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  17. 737
  18. 738

    Modeling Population Growth in R with the biogrowth Package by Alberto Garre, Jeroen Koomen, Heidy M. W. den Besten, Marcel H. Zwietering

    Published 2023-09-01
    “…It can predict growth under static or dynamic environments, considering the effect of an arbitrary number of environmental factors. …”
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  19. 739

    A brief review on factors affecting the performance of microbial fuel cell and integration of artificial intelligence by Ritesh Ojha, Jyotilagna Dash, Swati Sucharita Satpathy, Priti Chhanda Ojha, Debabrata Pradhan

    Published 2025-07-01
    “…This review uniquely summarizes key performance factors influencing MFCs, ranging from material science to microbial community dynamics, while highlighting the role of emerging tools like AI in predictive modelling and performance optimization. …”
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  20. 740

    Nonlinear Analysis and Reliability Analysis of Multilink Mechanism Considering Mixed Clearance by Yuyang Lian, Jianuo Zhu, Quanzhi Zuo, Mingyang Cai, Shuai Jiang

    Published 2025-05-01
    “…In view of this, this paper proposes an innovative dynamic algorithm for complex multilink mechanisms, aiming to deeply explore the specific impacts of multiple factors on dynamic response and nonlinear rigid-body properties, as well as its reliability analysis. …”
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