Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. In this context, mobile surveying is a consolidated method for data collection in urban environments. …”
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A Review on Risk and Reliability Analysis in Photovoltaic Power Generation by Ahmad Zaki Abdul Karim, Mohamad Shaiful Osman, Mohd. Khairil Rahmat

“…Qualitative methods include failure mode analysis, graphical analysis, and hazard analysis, while quantitative methods include analytical methods, stochastic methods, Bayes’ theorem, reliability optimization, multi-criteria analysis, and data utilization. …”
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Psycholinguistic Aspect of Phonetic and Orthographic Means of French Colloquial Speech in Ukrainian Translation by Андрій Білас

“…The use of functional replacement methods for the psycholinguistic and orthographic features of the source lexemes allows the reader to adequately perceive the psycholinguistic colloquial marking of these features in the target language discourse. …”
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Study on the hybrid energy storage for industrial park energy systems: Advantages, current status, and challenges by Guo Jiacheng, Peng Jinqing, Luo Yimo, Zou Bin, Luo Zhengyi

“…This discussion leads to proposals for the direction of future research. The optimization methods and processes for designing and operating hybrid energy storage systems were proposed based on theoretical frameworks and methods. …”
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Modeling of the optimum level of financial provision of Ukrainian enterprises' innovative activities by N. Davidenko, H. Skrypnyk, Z. Titenko, O.V. Zhovnirenko

“…In the process of research such scientific methods have been used: modeling – to determine the influence of the source of funding for innovation activities, on the number of new technological processes introduced and the introduction of new types of products; economic-statistical – to evaluate the dynamics of the amount of realized innovative products and the index of the efficiency of innovation costs; correlation-regression analysis – to determine the relationship density and the relationship between factors of influence and performance indicators; abstract-logical – for the implementation of theoretical and methodological generalizations. …”
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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. …”
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification. by M Amudha, K Brindha

“…This model proposes to address the drawbacks of conventional CNNs, which are resource-intensive and time-consuming, by using optimization methods that reduce processing complexity and enhance classification accuracy. …”
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Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning by Miki Arai Hojo, Taku Tsuzuki, Yosuke Ozawa, Toshiyuki Araki, Hidetoshi Sakurai

“…We employed a directed differentiation protocol for muscle stem cells (MuSCs), a promising cell source for the regenerative therapy of muscular dystrophy. …”
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A Pocket Assay Grouting Technology for Rock Burst Control under Huge-Thick Conglomerate by Junwei Shi, Xiangrui Meng, Jifang Du, Yu Dong, Ying Wang

“…The grouting technology is proved to effectively limit the bending settlement of conglomerate, control stress concentration of conglomerate, and improve the structure of the source of rock burst, which is an effective method for the control of huge-thick conglomerate. …”
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Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

“…The mechanical state of the physical pipeline is mapped in real time by the digital twin, the numerical simulation and multi-source monitoring data are integrated, and the parameters of the twin model are dynamically optimized by combining the optimization algorithms of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM), so as to realize the real-time prediction of the pipeline stress state and the dynamic updating of the disaster scenario. …”
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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…By capturing both spatial relationships and temporal patterns, the proposed framework ensures comprehensive insights into system behavior, enabling proactive decision-making and operational optimization. Experimental results on real-world railway datasets demonstrate superior performance in accuracy, scalability, and interpretability compared to traditional methods, underscoring the potential of our approach for next-generation intelligent railway systems. …”
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Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

“…Finally, the Explainable AI (XAI) is built based on the LSTM model, and the SHAP value method is used to downsize the performance of the complex black box model LSTM, present the model “black box”, and analyze the common roles played by the elements of ESOPs, the maturity level of smart manufacturing, and the social sentiment on ESOPs in the long term and nonlinear process. …”
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Runoff Evolution Patterns and Attribution Analysis in Xiliu Songhua River Basin by YAN Yuliang, DING Hong, ZHANG Jiayue, GAO Yu

“…Combined with multi-source methods such as spatial interpolation of meteorological data, Pettitt mutation test, Mann-Kendall trend test, and land use transfer matrix, the synergistic effect of climate factors and underlying surface parameters was systematically evaluated. …”
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Plant-mediated nickel oxide nanoparticles show species-dependent antibacterial, antioxidant, anti-inflammatory and antidiabetic activities by Alaa Hassan Said, Fatma. Shaibah, M. Moustafa, Rokaia B. Elamary

“…Our results open the door for additional in vivo testing and process optimization while validating green synthesis as an environmentally responsible method of producing NiO nanoparticles with adjustable bioactivities.…”
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Runoff Evolution Patterns and Attribution Analysis in Xiliu Songhua River Basin by YAN Yuliang, DING Hong, ZHANG Jiayue, GAO Yu

“…Combined with multi-source methods such as spatial interpolation of meteorological data, Pettitt mutation test, Mann-Kendall trend test, and land use transfer matrix, the synergistic effect of climate factors and underlying surface parameters was systematically evaluated. …”
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Modifying milling parameters: Impact on selective separation of lithium-rich phases in a thermodynamically designed battery slag by Sima Hellmers, Hao Qiu, Bengi Yagmurlu, Arno Kwade

“…Thus, it can be concluded that the grinding parameters not only affect the comminution processes and their energy consumption, but also the particle morphology and flotation behavior. Therefore, an optimal mechanical pre-treatment of the slags enables an increase recovery of lithium in the recycling of LIBs and a decreasing the requirement of primary sources, both of which contribute to the circular economy.…”
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Single-particle-thick microstructures fabricated through controlled withdrawal of particles from a dispersion meniscus by Y. Harkavyi, G. Tiwari, Z. Rozynek

“…The physical mechanisms governing structure formation are examined, and key sources of instability are identified to support process optimization. …”
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Hybrid RSA-ROA Scheduling Algorithm for Minimization of Power Loss and Improving the Renewable with Sustainable Energy Harvesting in Power System by Cuddapah Anitha, Virendra Swaroop Sangtani, Ajay Kumar Bansal, Mahaveerakannan R., R. Rajesh Sharma, Saravanan M. S.

“…To maximize the harvesting of renewable energy sources (RES) and minimize power scheme losses, this study provides an optimal generation scheduling strategy for a power scheme combined with distributed generation (DG) and sustainable energy storage systems (ESSs). …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…A system Generalized Method of Moments (GMM) model and a panel threshold model are employed to analyze the relationship, incorporating nonlinearities and regional heterogeneities.ResultsThe findings indicate that green finance significantly reduces reliance on high-carbon energy sources and fosters cleaner energy consumption, particularly in provinces with advanced green financial systems. …”
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