Progress and Challenges in Morphodynamics of Braided Rivers in Source Region of Yangtze River by LI Zhi-wei, OUYANG Wei-qi

“…It aims to 1) systematically review recent advances in remote sensing monitoring, quantitative morphological characterization, and numerical simulation; 2) establish a unified morphological representation framework applicable across spatial scales; 3) analyze the response mechanisms of braided rivers to variations in water and sediment under climate change; 4) identify key process mechanisms and influencing factors to support the sustainable management and ecological protection of braided river systems on the plateau. …”
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Evaluation Uncertainty in the Volume of Oil in Place in Mishrif Reservoir by Loay Khamees, Farah Abdulrazzaq

“…Uncertainty methods can be used based on several reservoir factors to predict a range of reserve values, each value gives a range of production forecasts. …”
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Transformation of Event Trends in the Context of Socio-Cultural Development of Ukraine by Liudmyla Polishchuk

“…The modern event sphere is highly dynamic and adaptive; it responds quickly to current challenges and external circumstances, forming new trends and determining development trends. …”
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A vision-language model for predicting potential distribution land of soybean double cropping by Bei Gao, Yuefeng Liu, Yanli Li, Hongmei Li, Meirong Li, Wenli He

“…Traditional methods, relying on single-modal approaches such as remote sensing imagery or climate data in isolation, often fail to capture the complex interactions among environmental factors, leading to suboptimal predictions. Moreover, these approaches lack the ability to integrate multi-scale data and contextual information, limiting their applicability in diverse and dynamic environments.MethodsTo address these challenges, we propose AgriCLIP, anovel remote sensing vision-language model that integrates remote sensing imagery with textual data, such as climate reports and agricultural practices, to predict potential distribution areas of double-cropped soybeans under climate change. …”
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Mathematical Model for Transmission and Control of Malaria Disease in Ihandiro Sub-County Kasese District. by Birumbu, Brian

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Advancements in modifying the efficacy of immunotherapies through the thermal effects of nanomaterials by Lan Lei, Pengyuan Liu, Wu Jing, Zhibing Wu

“…These capabilities facilitate the dynamic assessment of factors influencing immune activity, thereby optimizing future treatment strategies. …”
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Multi‐Satellite Tracking of Surface Water Storage Change in the Era of Surface Water and Ocean Topography (SWOT) Satellite Mission by Pritam Das, Faisal Hossain

“…Furthermore, preliminary applications of machine learning to integrate SWOT with non‐SWOT data sets show promise, although constrained by limited data availability of SWOT as of late 2024.…”
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Materials for creating tissue-engineered constructs using 3D bioprinting: cartilaginous and soft tissue restoration by N. V. Arguchinskaya, E. E. Beketov, E. V. Isaeva, N. S. Sergeeva, P. V. Shegay, S. A. Ivanov, A. D. Kaprin

“…3D Bioprinting is a dynamically developing technology for tissue engineering and regenerative medicine. …”
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TerraWind: A Deep Learning‐Based Near‐Surface Winds Downscaling Model for Complex Terrain Region by Jie Lian, Sirong Huang, Jiahao Shao, Peiyan Chen, Shengming Tang, Yi Lu, Hui Yu

“…Abstract Wind downscaling is crucial for refining coarse‐scale wind estimates, improving local‐scale predictions, and supporting various applications like risk assessment and planning. Dynamic downscaling models demand extensive computational resources and time, leading to a shift toward more efficient statistical downscaling, whereas it often overlooks inter‐variable and inter‐station spatial correlations. …”
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Analysis and predictive validity of Kelantan River flow using RQA and time series analysis by Abdul Majid Mohammed, M. Hafidz Omar, M. S. M. Noorani

“…The analysis of the dynamics of the daily river flow and the detection of an attractor with outliers indicating higher values of the series are believed to be two important factors of an onset of a sudden change. …”
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Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security by Haogang Feng, Yue Wang, Shida Zhong, Tao Yuan, Zhi Quan

“…This positions investors to gain a competitive edge in the dynamic and complex financial markets. Although the FPPO algorithm demonstrates significant potential in trade execution optimization, it may need to integrate a broader range of real-world variables and develop advanced privacy-preserving mechanisms to enhance its applicability in diverse financial contexts.…”
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A Review of Leadership Theories in Healthcare by Farha Rizwan Sikalgar, Deepak Bangera, Manasvi P Kumar, Bhuvaneshwari, Yuvaraj Paul, Shrikanth Muralidharan

“…Leadership plays a critical role in shaping the dynamics, quality, and outcomes of healthcare systems. …”
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Deciphering tumor microenvironment: CXCL9 and SPP1 as crucial determinants of tumor-associated macrophage polarity and prognostic indicators by Xinming Su, Chenhao Liang, Ruixiu Chen, Shiwei Duan

“…The mutually exclusive expression of CXCL9:SPP1 in the TME not only governs TAM polarity but also exhibits strong correlations with immune cell profiles, antitumor factors, and patient outcomes, significantly influencing prognosis. …”
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An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer by Mohamed Abdel-Aty, Tarek Hasan, B M Tazbiul Hassan Anik

“…Abstract One of the important applications of real-time crash prediction analysis lies in the field of proactive traffic management, where instantaneous crash risk evaluation and dynamic decision-making are prerequisites. …”
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Timing Optimization Method for Pumped Storage Plant Construction Considering Capital Expenditure Capacity Feedback by Jie Jiao, Xiaoquan Lei, Puyu He, Qian Wang, Guangxiu Yu, Wenshi Ren, Shaokang Qi

“…Finally, according to the principle of dynamic planning combined with the actual needs and capital expenditure potential of pumped storage plants, the sum of the capital expenditure effectiveness values in each stage is used as the indicator function of each stage to construct the pumped storage plants project capital expenditure timing optimization model, and a simulation analysis is carried out with Province Z as an example to verify the validity and applicability of the proposed model. …”
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Metaheuristic optimization of extreme gradient boosting machine for enhanced prediction of lateral strength of reinforced concrete columns under cyclic loadings by Phu-Anh-Huy Pham, Nhat-Duc Hoang

“…This fact emphasizes the need for accurate assessments of their dynamic behavior. This paper proposes a data-driven model for estimating the lateral strength of RC columns. …”
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Harnessing Electronic Health Records and Artificial Intelligence for Enhanced Cardiovascular Risk Prediction: A Comprehensive Review by Ming‐Lung Tsai, Kuan‐Fu Chen, Pei‐Chun Chen

“…Addressing data quality issues and overcoming limitations from retrospective data analysis are critical for improving the reliability and applicability of risk prediction models. Integrating multidimensional data, including environmental, lifestyle, social, and genomic factors, could significantly enhance risk assessment. …”
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Organ-Preserving Surgery in Urethral Cancer (a Clinical Case) by N. S. Kholopova, V. B. Venskel, N. V. Kovalenko, V. V. Zhavoronkova, A. I. Ivanov, A. G. Chuhnin, A. A. Klimchenko

“…A case description to verify the organ-preserving treatment applicability in urethral cancer.Materials and methods. …”
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Novel high-content and open-source image analysis tools for profiling mitochondrial morphology in neurological cell models by Marcus Y. Chin, David A. Joy, Madhuja Samaddar, Anil Rana, Johann Chow, Takashi Miyamoto, Meredith Calvert

“…Mitochondria undergo dynamic morphological changes depending on cellular cues, stress, genetic factors, or disease. …”
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Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality by Yijian Wu, Lei Shan, Weixuan Zhao, Xue Lu

“…However, optimizing and scaling microalgae cultivation systems present several challenges due to the dynamic interactions among environmental factors such as light intensity, temperature, pH, nutrient concentration, and CO₂ levels, as well as species-specific biological variability. …”
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