Applications of Optical Fiber Sensors in Geotechnical Engineering: Laboratory Studies and Field Implementation at the Acropolis of Athens by Elena Kapogianni, Michael Sakellariou

“…These tests provided insights into the behavior of geotechnical physical models under earthquake conditions and the reliability of FBG sensors in capturing dynamic responses. …”
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An Improved Parameter-Adaptive Variational Mode Decomposition Method and Its Application in Fault Diagnosis of Rolling Bearings by Cuixing Li, Yongqiang Liu, Yingying Liao

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A Physics-Informed Neural Network Solution for Rheological Modeling of Cement Slurries by Huaixiao Yan, Jiannan Ding, Chengcheng Tao

“…However, accurately and efficiently modeling the rheological behavior of cement slurries remains challenging due to the complex fluid properties of fresh cement slurries, which exhibit non-Newtonian and thixotropic behavior. …”
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Enhancing causal inference in population-based neuroimaging data in children and adolescents by Rachel Visontay, Lindsay M. Squeglia, Matthew Sunderland, Emma K. Devine, Hollie Byrne, Louise Mewton

“…However, the ability of these datasets to deliver causal insights into brain-behavior relationships relies on the application of purpose-built analysis methods to counter the biases that otherwise preclude causal inference from observational data. …”
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Shifting perspectives: A comparison of travel-time-based and carbon-based accessibility landscapes by Julia Kinigadner, David Vale, Benjamin Büttner, Gebhard Wulfhorst

“…While losing predictive power in terms of travel behavior compared to other implementations of accessibility, carbon-based accessibility analysis enables a normative understanding of travel behavior as it ought to be. …”
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Species-specific physiological status in seabirds: insights from integrating oxidative stress measurements and biologging by Shiho Koyama, Yuichi Mizutani, Yusuke Goto, Ken Yoda

“…A commonly used measure of physiological condition is oxidative stress, which results from an imbalance between oxidative damage—often exacerbated by respiration during exercise and indicative of physical harm—and antioxidant capacity, which reflects the organism’s ability to recover from such damage. Despite its importance, oxidative stress has rarely been linked to behavior, such as foraging, leaving this relationship underexplored. …”
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Synergistic Evolution in the Digital Transformation of the Whole Rural E-Commerce Industry Chain: A Game Analysis Using Prospect Theory by Yanling Wang, Junqian Xu

“…This paper aims to explore the evolutionary mechanism of collaborative behavior in the digital transformation of platform enterprises and participating enterprises across the whole rural e-commerce industry chain. …”
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Cognitive health promotion through a low-intensity high-volume webinar intervention for older adults at risk of future dementia by Keera N. Fishman, Keera N. Fishman, Christopher Pilieci, Linda Truong, Gillian Rowe, Renee Climans, Iris Yusupov Rose, Kelly J. Murphy, Kelly J. Murphy

“…The Learning the Ropes Foundations© webinar was developed to provide a free, evidence-based, and accessible low-volume, high-intensity intervention to support brain health.MethodsBetween January and December 2024, 78 participants with cognitive decline (99% >60 years, 58% women) and 30 family members of those with cognitive decline (97% >50 years, 57% women) completed a survey assessing the webinar’s usability, satisfaction, and ability to motivate behavior change. One-month following webinar completion, 19 participants with cognitive decline completed a follow-up survey assessing their implementation of behavior changes. …”
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Integrity and Legal Framework of Public Service. A European Case Study by N. Mayurov, T. Trofimova

“…The authors conclude that today the ethical infrastructure in the mechanism of control is becoming an important element in the transformation of the political and economic system, and the moral ability to choose the right moral and ethical behavior is an indicator of the integrity of spiritual and professional culture of the modern civil servant.…”
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Research of Technology Solutions and Operation Countermeasures to Telephone Fraud Prevention and Control by Lika Li, Zexiong Ma, Qingnian Chen, Cheng Li

“…According to the root cause analysis, telephone fraud mechanism and behavior characteristics were discussed, network security model and the control system were researched, the recommending of core network number protection ability to ascend was proposed, and a set of early warning and intercept technology system based on big data model of signaling was developed. …”
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Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, Mohamad Reza Sanaei

“…The ability of hotels to differentiate themselves from competitors and continue to operate profitably depends on their ability to retain their customers by building long-term and permanent customer relationships. …”
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CONCEPTUALIZATION OF ARTIFICIAL INTELLIGENCE IN RUSSIAN MEDIA DISCOURSE by Elena N. Galichkina

“…The conceptualization of artificial intelligence is shown to be represented in two directions: the ability of an artificial system to perform tasks that mimic human cognitive abilities and the science of modelling computerized intellectual behavior. …”
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PARADIGM FOR CONTEMPORARY SYMBOLIC REALITY by Elena Korableva

“…The dialectical materialist methodology allows us to investigate human immersion in contradictive meanings of the era, the skills of interaction with the increased flow of information, the ability to determine information needs and use this information right way as well as the ability to analyze this information. …”
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Multi-Objective Optimization of Injection Parameters and Energy Consumption Based on ANN-Differential Evolution by Devic Oktora, Yu-Hung Ting, Sukoyo

“…Injection molding (IM) is one complex manufacturing process characterized by nonlinear behavior. Unlike classic linear modeling techniques like simple regression, many machine learning (ML) models have the ability to adjust to the nonlinear behaviors and interactions between input and output parameters. …”
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Machine learning for experimental design of ultrafast electron diffraction by Mohammad Shaaban, Sami El-Borgi, Aravind Krishnamoorthy

“…Abstract Ultrafast electron diffraction (UED) experiments can extract insights into material behavior at ultrafast timescales but are limited by the manual analysis required to process several gigabytes of diffraction pattern data. …”
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A novel voting measure for identifying influential nodes in complex networks based on local structure by Haoyang Li, Xing Wang, You Chen, Siyi Cheng, Dejiang Lu

“…The proposed algorithm draws inspiration from human voting behavior and expresses the attractiveness of nodes to their first-order neighborhood using the weights of connecting edges. …”
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Stem cells derived from neonatal mouse kidney generate functional proximal tubule-like cells and integrate into developing nephrons in vitro. by Egon Ranghini, Cristina Fuente Mora, David Edgar, Simon E Kenny, Patricia Murray, Bettina Wilm

“…Our analysis of the behavior of the two cell types shows that some, but not all KSC characteristics are similar to those of the MM.…”
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Unlocking Retail Insights: Predictive Modeling and Customer Segmentation Through Data Analytics by Juan Tang

“…However, bearing in mind that the lack of demographic data and limited feature variety may constrain the model’s ability to capture personalized customer behaviors, the findings provide a foundation for integrating more diverse datasets and advanced learning approaches for improved retail analytics.…”
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The Changes of Phenotypic Characteristics of Shewanella putrefaciens under Cold Adaptation by Xin Gao, Min Sun, Bo Li, Jing Xie

“…Here, we studied phenotypic changes in S. putrefaciens at low temperatures to discuss the specific behavior of its spoiled aquatic products. S. putrefaciens was found to grow considerably through the growth curve at 0–30°C. …”
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Assessment of the biofilm formation capacities of Staphylococcus aureus strains Newman and Newman D2C in vitro and in vivo by Ben Wieland, Gubesh Gunaratnam, Linda Pätzold, Noran Abdel Wadood, Georges Pierre Schmartz, Swarnali Kundu, Nikolay Krasimirov Kirilov, Ina Krüger, Mohamed Ibrahem Elhawy, Jacqueline Rehner, Hannah Heintz, Frank Schmitz, Daniela Yildiz, Gabriela Krasteva-Christ, Sören Leif Becker, Karin Jacobs, Markus Bischoff

“…Additionally, we determined their ability to cause infection in a foreign body-related murine infection model. …”
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