A Method for Service Function Chain Migration Based on Server Failure Prediction in Mobile Edge Computing Environment by Joelle Kabdjou, Norihiko Shinomiya

“…Mobile Edge Computing (MEC) is a key technology for delivering low-latency services to mobile and edge devices, supporting applications like autonomous vehicles and smart cities. …”
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Navigating the spectrum of battery health management in electric vehicles: A comprehensive review by Saranathan L, Indragandhi Vairavasundaram, Bragadeshwaran Ashok

“…However, ensuring their reliability and longevity presents substantial challenges due to degradation caused by various internal and external factors. This review paper addresses the critical problem of accurately estimating the state of health (SoH), remaining useful life (RUL), and battery ageing in dynamic operating environments. …”
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Cross-Scene Multi-Object Tracking for Drones: Leveraging Meta-Learning and Onboard Parameters with the New MIDDTD by Chenghang Wang, Xiaochun Shen, Zhaoxiang Zhang, Chengyang Tao, Yuelei Xu

“…During drone flight, factors such as high-altitude environments, small target proportions, irregular target movement, and frequent occlusions complicate the multi-object tracking task. …”
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Improvement of the system for creating intellectual property objects by V. V. Spasennikov

“…We also analyzed patent data for five years to track the dynamics of application filings and patent reviews. …”
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Overview of Traffic Flow Forecasting Techniques by Annarita Carianni, Andrea Gemma

“…Each category is analyzed for its historical development, theoretical foundations, and practical applications, with special emphasis on artificial intelligence’s transformative role in enabling dynamic and accurate predictions. …”
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THE IMAGE OF THE HEAD OF AN EDUCATIONAL INSTITUTION: A RETROSPECTIVE CONTENT ANALYSIS OF THE CONCEPT by Lavrentieva Olena Oleksandrivna, Arbuzova Anastasia Andreevna

“…It has been established that the image is the result of the perception of a person by various social groups; it is formed under the influence of a number of factors and mutually influential actions. The essence of the image is reflected by the concepts «fashion», «icon», «reputation», «prestige», «presentation (assessment)», «symbol». …”
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Modelling mangrove social-ecological systems – a review by Md Monzer Hossain Sarker, Animesh K Gain, Carlo Giupponi

“…Mangrove social-ecological systems (SES) involve the dynamic relationships between mangrove ecosystems and human communities that depend on and influence these environments. …”
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Exploring the Universe within the Human Lens Through Raman Spectroscopy by Praveen K Malik, Taru Dewan, Ayasha Nishad, Pulkit Gupta

“…Thus, the lens fiber proteins are as old as the individual, and are subject to ageing factors which eventually lead to cataract formation. …”
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Theorizing subjective responsibility at work: an agentic approach by Thomas Faurholt Jønsson, Maria Celeste Fasano

“…To cover the interplay between organizational structural factors and organizational members’ psychological level, we depart from the structure-agency metatheory. …”
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An assessment of The Capacity Drops at The Bottleneck Segments: A review on the existing methodologies by Sugiarto Sugiarto, . Lulusi, Sofyan M. Saleh

“…Method of oblique cumulative plot seems to be more applicable in terms of convenient, surveying tool and the accuracy of analysis. …”
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Local public investment drivers in Morocco: A panel data analysis by Hicham El Bakkali, Rizlane Guati

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Reconsidering the Origins of Smellscapes: Insights from Late Medieval and Early Modern Travel Narratives (Mandeville, Moryson, and Hakluyt) by Olena Morenets

“…The complexity of smellscapes reveals them as dynamic and heterogeneous “palimpsests.” This study chronologically traces the smellscape’s development and potential theoretical applications by extending contemporary ideas of the concept to the medieval period and the Enlightenment Highlights: • Smellscapes, introduced in 1984 by Gade, were described by travellers as early as the 14th century…”
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Constitutive model of metal rubber material considering plastic accumulation behavior by FENG Zhipeng, YANG Fang, FU Hailong, AI Shigang, WANG Yue, YUAN Liangyang

“…;To verify the reliability and applicability of the plasticity-considered model, this paper employs quasi-static compression tests for validation and analysis of the constitutive model. …”
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Improvement of YOLO v8 Segmentation Algorithm and Its Study in the Identification of Hazards in Plateau Pika by Yaosheng Han, Yunpeng Jin, Chunmei Li, Xiangjie Huang

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Exploring project team motivation: A systematic and bibliometric analysis by Altynay Tyulkubayeva, Gulmira Nurseiytova, Shengnian Li, Yeldos Koshenov

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Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters by Ibrahim, M. Fanuel, Silas, Mirau, Damian, Kajunguri, Francis, Moyo

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Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters by Fanuel, Ibrahim M., Mirau, Silas, Kajunguri, Damian, Moyo, Francis

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Knowledge and technology transfer in construction engineering: two case studies involving special concrete by Ulrike Michel-Schneider, Andrea Palazzo

“… This research examines the dynamics of knowledge and technology transfer (KTT) within the construction industry while focusing on innovation in special concrete. …”
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From waste to wellness: Green synthesis of nanoparticles from vegetable waste by Muhammad Wasiq, Faiyaz Ahmed, Farhan Saeed, Ali Raza, Hafiz Muhammad Abdullah, Sania Saleem, Laraib Shoukat, Nataliia Nuzhyna, Muhammad Afzaal

“…AgNPs are subjected to different characterization techniques to examine them for different applications. For instance, UV-Vis spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), dynamic light scattering (DLS), and Fourier-transform infrared spectroscopy (FTIR) help us understand AgNPs. …”
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Research progress on evaluation and prediction of degradation in service performance for asphalt pavement by Ran Zhang, Pengkun Hu, Yuhui Zhong, Long Wen, Jie Ji, Long Liang

“…Furthermore, the commonly used performance prediction models of asphalt pavement are analyzed, such as deterministic methods, uncertainty methods, machine learning, dynamic methods and so on. And their applicability and limitations are also summarized. …”
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