Research on Simplified Calculation Method of Coupled Vibration of Vehicle-Bridge System by Zenong Cheng, Nan Zhang, Qikai Sun, Zeguo Shen, Xiao Liu

“…Influencing factors such as vehicle speed, mass ratio of vehicle and beam, and primary spring stiffness on the dynamic response of the vehicle-bridge system are discussed in detail. …”
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Morphometric and morphostructural analysis as a modeling tool in mass movement scenarios (Bucaramanga, Colombia) by Joaquín Andrés Valencia Ortiz, Antonio Miguel Martínez-Graña

“…The basin is its own environment and sensitive to changes of both natural origin (endogenous and exogenous) and anthropic factors. Due to these changes, especially those of natural origin, basins shape their surfaces by adapting them to these effects, which gives rise to an intrinsic dynamic development that leads in some instances to morphodynamic processes, especially in the generation of mass movements. …”
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Study on the Engineering Characteristics of Alluvial Silty Sand Embankment Under Vehicle Loads by Tangtang Qiu, Junwen Chen, Ying Zhang, Jiang Shen, Xiabing Yue

“…The research results indicate that the influence of vehicle speed on the distribution and depth of dynamic stress is relatively small, while the moisture content (optimal 7.8%) and compaction degree (>94%) are the key factors determining the performance of the roadbed. …”
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BaAM-YOLO: a balanced feature fusion and attention mechanism based vehicle detection network in aerial images by Xunxun Zhang, Xu Zhu

“…However, this task presents significant challenges due to factors such as scale variance, the presence of small vehicles, and complex scenes conditions. …”
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Performance Comparison of Computationally Efficient Algorithms for Drone Localization on Embedded Systems by Muhammad Bilal Kadri

“…The capacity to estimate the state of dynamic systems in the presence of noise makes these algorithms popular in a wide range of applications, including robotics, navigation, and sensor fusion. …”
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Intelligent optimization method of fracturing parameters for shale oil reservoirs in Jimsar Sag, Junggar Basin, NW China by Yunjin WANG, Fujian ZHOU, Hang SU, Leyi ZHENG, Minghui LI, Fuwei YU, Yuan LI, Tianbo LIANG

“…A separated fracturing effect prediction model is proposed, with the fracturing learning curve decomposed into two parts: (1) overall trend, which is predicted by the algorithm combining the convolutional neural network with the characteristics of local connection and parameter sharing and the gated recurrent unit that can solve the gradient disappearance; and (2) local fluctuation, which is predicted by integrating the adaptive boosting algorithm to dynamically adjust the random forest weight. A policy gradient-genetic-particle swarm algorithm is designed, which can adaptively adjust the inertia weights and learning factors in the iterative process, significantly improving the optimization ability of the optimization strategy. …”
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Multi-Omics Technologies Applied to Improve Tick Research by Arlex Rodríguez-Durán, Vinícius Andrade-Silva, Muhammad Numan, Jéssica Waldman, Abid Ali, Carlos Logullo, Itabajara da Silva Vaz Junior, Luís Fernando Parizi

“…Finally, tick population dynamics have been determined through a combination of environmental factors, host availability, and genetic adaptations, and recent advances in omics technologies have improved our understanding of their ecological resilience and resistance mechanisms. …”
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The Disappearing Winners: An MAS Study of Community-Type Rivalry in Construction Markets by Keda Chen, Xiaowei Wang, Zhenhua Guo, Weidan Liu

“…Despite many existing empirical studies on communities, they weaken competitive interactions and have limited applicability to the dynamic issues of community formation and evolution. …”
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Harnessing AI for smart manufacturing: insights from Industry 4.0 by Daniel G. Lindberg

“…Abstract This paper empirically establishes artificial intelligence (AI) as a distinct factor of production within a macroeconomic Industry 4.0 model of United States manufacturing. …”
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The importance of sulphur in oilseed production – A South Asian context by V. Visha Kumari, K.A. Gopinath, M.A. Sarath Chandran, B. Sunitha, K. Sriram, M.A. Ansari, M.S. Rao, V.K. Singh

“…While crops need sulphur in slightly lower amounts than phosphorus, maintaining optimum sulphur levels is crucial for oilseed yield and quality. Factors such as sulphur dynamics, impact of deficiency, application methods, and climate change must be addressed to improve agricultural practices. …”
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TEACHING WITH THE SKILLS-BASED APPROACH: PERSPECTIVES AND IMPLEMENTATIONS IN ALGERIAN CLASSES by Naoual AOUALI

“…This research explores the application of APC in the Algerian context, with particular emphasis on the college level. …”
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A Comprehensive Review of Biomass Gasification Characteristics in Fluidized Bed Reactors: Progress, Challenges, and Future Directions by Lu Wang, Tuo Zhou, Bo Hou, Hairui Yang, Nan Hu, Man Zhang

“…However, its industrial application has been limited by insufficient technological maturity. …”
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Genetically encoded fluorescent reporter for polyamines by Pushkal Sharma, Colin Y. Kim, Heather R. Keys, Shinya Imada, Alex B. Joseph, Luke Ferro, Tenzin Kunchok, Rachel Anderson, Yulin Sun, Ömer H. Yilmaz, Jing-Ke Weng, Ankur Jain

“…We demonstrate broad applicability of this approach and reveal dynamic changes in polyamine levels in response to genetic and pharmacological perturbations. …”
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Underwater acoustic classification across diverse sea environments using adaptive regularization and knowledge encoding by Muhammad Azeem Aslam, Muhammad Irfan, Xu Wei, Wang Jun, Hu Hongfei, Wang Shiyu, Xin Liu, Shahid Ali

“…Abstract Underwater acoustic classification plays a critical role in both commercial and military applications. It faces significant challenges due to high background noise and the dynamic nature of marine environments. …”
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Qualitative approach to compare hysteretic models via restoring force surfaces by Jakub Mrowka, Kajetan Dziedziech, Andrzej Klepka

“…Hysteresis introduces nonlinearities that are challenging to accurately replicate in simulations, making model selection a critical factor for reliable mechanical system analysis. This research compares several established hysteretic models, including the Preisach, Contact Acoustic Nonlinearity (CAN), Bouc-Wen, Dahl, and LuGre models, aiming to identify the most appropriate model for real-world applications. …”
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A storage model with random release rate for modeling exposure to food contaminants by Patrice Bertail, Stéphan Clémençon, Jessica Tressou

“…The quantity X of food contaminantpresent in the body evolves through its accumulation after repeated dietaryintakes on the one hand, and the pharmacokinetics behavior of the chemicalon the other hand. In the dynamic modeling considered here, the accumulationphenomenon is modeled by a simple marked point process with positivei.i.d. marks, and elimination in between intakes occurs at a random linearrate θX, randomness of the coefficient θ accounting for the variability of theelimination process due to metabolic factors. …”
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Indicators of Cultural Ecosystem Services for Peri-Urban Agricultural and Natural Areas at an Intermediate Scale: A Case Study of Arequipa, Peru by Merari Torreblanca, Flavio Choquehuanca, Javier Martínez, Michael Alfaro

“…The level of impact was assessed for 115 indicators across 13 subclassifications, applying criteria such as diversity, sustainable management, quality of life, and scalability—factors necessary to comply with urban sustainability policies.…”
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Designing a Conceptual Digital Twin Architecture for High-Temperature Heat Upgrade Systems by Alexandru Matei, Alex Butean, Constantin-Bala Zamfirescu, José Daniel Marcos

“…Optimizing and orchestrating these processes for efficient heat delivery requires careful consideration of factors such as temperature levels, flow rates, and energy demands. …”
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A Spatially Informed Machine Learning Method for Predicting Sound Field Uncertainty by Xiangmei Chen, Chao Li, Haibin Wang, Yupeng Tai, Jun Wang, Cyrille Migniot

“…Predicting the uncertain distribution of underwater acoustic fields, influenced by dynamic oceanic parameters, is critical for acoustic applications that rely on sound field characteristics to generate predictions. …”
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Leakage Characteristics and Experimental Research of Staggered Labyrinth Sealing by Na Wang, Yongbing Cao, Zhencong Sun, Shixin Tang, Seung-Bok Choi

“…This study provides useful guidance for the performance optimization of labyrinth seals in practical applications.…”
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