Study on Satisfaction Evaluation of Ecotourism Through Advanced Network Text Mining by Jia Gao, Leong Mow Gooi, Kim Mee Chong, Xiang Lyu, Jin Zhang

“…This approach not only advances the field of ecotourism satisfaction analysis but also sets a precedent for future research involving complex data-driven methodologies in tourism and hospitality management.…”
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CREATING EDUCATIONAL VIDEOS IN THE PROCESS OF STUDENTS’ PROJECT ACTIVITY by Halyna Khrapiichuk, Nataliia Stuchynska, Ihor Prokhorenko

“…This approach promotes critical thinking, the formation of academic culture, and the ability to analyze information from various sources. …”

A Comparison of Reliability and Resource Utilization of Radiation Fault Tolerance Mechanisms in Spaceborne Electronic Systems by Changhyeon Kim, Dongmin Lee, Jongwhoa Na

“…Field Programmable Gate Arrays are increasingly favored for their ability to be easily modified, which substantially reduces both development time and costs. …”
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CHARLS insights into the impact of dual interactions of chronic diseases on depression in middle-aged and elderly individuals by Dian-yin Liang, Xue Chen, Ke-hua Li

“…Subsequently, a dual interaction analysis was performed to examine the significant impact of the number of chronic diseases on depression, complemented by an attribution analysis. …”
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Control of physical conditions of students of special medical groups with disorders of the musculoskeletal system as a prerequisite for the development of programs of physical ther... by O. Z. Blavt, V. M. Koriahin, E. Yu. Doroshenko, L. I. Levchenko, S. H. Puzik, A. M. Hurieieva, O. Ye. Chernenko, M. O. Oliinyk

“…The following methods were used in the research process: analysis and generalization of scientific literature and Internet data; analysis of medical records of students; instrumental methods of morphometric and psychophysiological studies; pedagogical observations; pedagogical experiment of ascertaining orientation; methods of mathematical statistics. …”
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Classification of traffic accidents’ factors using TrafficRiskClassifier by Wei Sun, Lili Nurliyana Abdullah, Fatimah binti Khalid, Puteri Suhaiza binti Sulaiman

“…The TrafficRiskClassifier model proposed in this study adopts an innovative approach integrating migration learning, image classification, and self-supervised learning, with the goal of significantly enhancing the accuracy and efficiency of traffic accident risk analysis. Compared with traditional traffic safety analysis techniques, this model focuses on utilizing contextual information and situational data from traffic accidents to achieve higher risk classification accuracy. …”
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Genomics and metabolic responses reveal the effect of Candida tropicalis ZD-3 on the degradation of Gossypol by Li Zhang, Xiaolong Yang, Rongzheng Huang, Shanshan Nan, Junli Niu, Cunxi Nie, Cheng Chen, Wenju Zhang

“…Metabolomic analysis indicated that gossypol activated ABC transporters and amino acid synthesis pathways, such as histidine, lysine, and arginine biosynthesis. …”
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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

“…However, the model consistently underestimates wind variability and extreme wind events, especially at coastal stations, where correlation coefficients dropped to 0.35. Wind direction analysis highlighted ERA5’s ability to replicate dominant northwest wind patterns. …”
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Re-ranking sequencing variants in the post-GWAS era for accurate causal variant identification. by Laura L Faye, Mitchell J Machiela, Peter Kraft, Shelley B Bull, Lei Sun

“…Next generation sequencing has dramatically increased our ability to localize disease-causing variants by providing base-pair level information at costs increasingly feasible for the large sample sizes required to detect complex-trait associations. …”
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KOMPSAT-3/3A Image-text Dataset for Training Large Multimodal Models by Han Oh, Dong-Bin Shin, Dae-Won Chung

“…This study aims to improve the accuracy and interpretability of large multimodal models (LMMs) specialized in satellite image analysis by constructing an image-text dataset based on KOMPSAT-3/3A imagery and presenting the results of training using this dataset. …”
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SE-TFF: Adaptive Tourism-Flow Forecasting Under Sparse and Heterogeneous Data via Multi-Scale SE-Net by Jinyuan Zhang, Tao Cui, Peng He

“…Accurate and timely forecasting of cross-regional tourist flows is essential for sustainable destination management, yet existing models struggle with sparse data, complex spatiotemporal interactions, and limited interpretability. …”
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A Digital Twin Framework to Improve Urban Sustainability and Resiliency: The Case Study of Venice by Lorenzo Villani, Luca Gugliermetti, Maria Antonia Barucco, Federico Cinquepalmi

“…Digital Twin (DT) technology can promote this transition at an urban scale due to its ability to monitor, control, and predict the behaviour of complex systems and processes. …”
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Current Approaches for Genetic Manipulation of <i>Streptomyces</i> spp.—Key Bacteria for Biotechnology and Environment by Sergii Krysenko

“…Organisms from the genus <i>Streptomyces</i> feature actinobacteria with complex developmental cycles and a great ability to produce a variety of natural products. …”
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Concentrated Growth Factors Combined with Lipopolysaccharide Stimulate the In Vitro Regenerative and Osteogenic Activities of Human Dental Pulp Stem Cells by Balancing Inflammation by Negin Firouzi, Hamid Reza Yavari, Saeed Rahimi, Leila Roshangar, Ramtin Chitsazha, Mohammad Amini

“…Our findings are evidence that CGF could be a promising agent to induce dentin-pulp complex healing in long-term chronic inflammation.…”
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A Novel MetaSoft Tree-Cognitive Set Model for Evaluating Criminal Litigation Efficiency under Artificial Intelligence Ecosystems by Yuanyuan Meng, Jing Cai

“…Artificial Intelligence (AI) is transforming judicial systems by offering tools that enhance legal decision-making, yet measuring the efficiency of criminal litigation processes within these evolving digital ecosystems remains a complex task. Traditional evaluation models often fail to capture the hierarchical and uncertain nature of legal data, especially when AI is involved in tasks like evidence analysis, case prediction, or judge-assisting tools. …”
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Lytic coelomocyte death is tuned by cleavage but not phosphorylation of MLKL in echinoderms. by Kaiyu Chen, Sikou Shen, Zhimeng Lv, Ming Guo, Yina Shao, Chenghua Li

“…In addition, cleaved AjMLKL18-491 exerted stronger ability in disrupting the membrane integrity of liposome. …”
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Fatigue Resistance of Asphalt Concrete Pavements. Peculiarity and Assessments of Potentials by Zhongyu Li, Tingguo Liu, Jicun Shi, Uladzimir Veranko, Vitali Zankavich

“…As the ground for such approach to estimation of the asphalt concrete properties served the proof that regardless of the composition and structure of asphalt concrete with an equal amount of elastic (viscoplastic) bonds possess the same relaxation ability. This situation is a significant feature of the behaviour of asphalt concrete, which opens the way for the development of certain approaches to the analysis of their properties, evaluation of reliability and durability. …”
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DIGITAL DIPLOMACY IS A STRATEGIC DIRECTION OF PUBLIC DIPLOMACY by Yuliia S. Palieieva, Tetiana A. Todoroshko

“…The article is devoted to the analysis of the introduction of digital diplomacy. …”
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Development and validation of the Health Segment Classification of Population Encompassed within Singapore (HealthSCOPES) framework. by Ian Yi Han Ang, Nabilah Rahman, Shing Hei Wong, Sheryl Hui-Xian Ng, Kyle Xin Quan Tan, Ke Xin Eh, Zheng Jye Ling, Andrea Su En Lim, Kelvin Bryan Tan, Sue Anne Toh

“…Validation was done for the framework's prognostic ability of clinically relevant outcomes measured in the following year.…”
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Comprehensive Framework for Collaborative Decision-Making in Evaluating Computer Network Security Using Interval Neutrosophic Information by Wenbao Qiao

“…The primary contributions of this study are outlined: (1) Deriving weight information through the application of average method, enhancing the robustness of the decision-making process; (1) Implementing the INN-GTODIM approach for MAGDM scenarios that utilize INSs, showcasing its adaptability to complex decision-making environments; (1) Applying the INN-GTODIM approach specifically to the domain of CNS evaluation, and comparing its performance against existing approaches to highlight its strengths and improvements; (4) Providing a detailed comparative analysis, which clearly demonstrates that the INN-GTODIM approach significantly enhances the effectiveness of CNS evaluations.…”
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