Fibrin – a promising material for vascular tissue engineering by V. G. Matveeva, M. U. Khanova, L. V. Antonova, L. S. Barbarash

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Fire and Smoke Detection Based on Improved YOLOV11 by Zhipeng Xue, Lingyun Kong, Haiyang Wu, Jiale Chen

“…Although they are relatively simple to implement, their performance is limited in complex and variable practical applications. In contrast, deep learning-based methods can automatically learn deep features in data and have higher accuracy and stronger generalization ability. …”
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Dentistry as a free market in the context of leading policymaking by Bengt Franzon, Magnus Englander, Björn Axtelius, Björn Klinge

“…Following the criteria for the descriptive phenomenological psychological method data was collected from leading policy makers about the experiential aspects of dentistry as a free market within the context of a welfare state. The analysis showed that dentistry as a free market was experienced as a complex business relationship between buyers and sellers that transcended the traditional dentist and patient roles. …”
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The Vexing but Diverting Web of Relationship: Swift, Gulliver, and the Reader by Nasir Jamal Khattak

“…By examining the satirical nuances and narrative techniques employed by Swift, the paper elucidates the complex dynamics between Gulliver's evolving perspective and the reader's reception of his voyages. …”
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DIAGNOSTICS OF THE DEVELOPMENT OF INFORMATION AND DIGITAL COMPETENCE OF FUTURE OFFICERS by Роман Буртовий

“…To achieve this goal, we used the analysis and generalization of scientific sources, structural and logical analysis to identify and substantiate the indicators of the development of the IDC of future officers, as well as content analysis and comparative analysis to characterize the levels of development of the IDC of future officers. …”
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A Supervised Approach for Land Use Identification in Trento Using Mobile Phone Data as an Alternative to Unsupervised Clustering Techniques by Manuel Mendoza-Hurtado, Gonzalo Cerruela-García, Domingo Ortiz-Boyer

“…By analyzing spatiotemporal patterns in CDRs, we trained and evaluated several classification algorithms, including k-nearest neighbors (kNN), support vector machines (SVM), and random forests (RF), to map land use categories, such as home, work, and forest. A comparative analysis highlights the performance of each method, emphasizing the strengths of RF in capturing complex patterns, its good generalization ability, and the usage of kNN with different distance measures. …”
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Multi-Task Prediction Method Based on GGCN for Object Centric Event Logs by Li Ke, Fang Huan, Xu Yifei, Shao Chifeng

“…Event logs constitute the fundamental data for predictive process monitoring research, and the quality and format of these logs are crucial for predictive analysis. Existing process prediction methods are primarily based on flattened event logs, which overlook multi-object interactions and complex dependencies, thereby limiting their ability to model complex processes. …”
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Etiological and pathogenetic aspects of non-specific bacterial vaginosis by M. M. Ananieva

“…Abstract The aim of this review was the biological properties analysis of microorganisms known as the main contributors to the non-specific bacterial vaginosis development. …”
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A proposed framework for achieving higher levels of outcome-based learning using generative AI in education by Shakib Sadat Shanto, Zishan Ahmed, Akinul Islam Jony

“…This paper introduces a framework called the ACE Framework (AI-Enhanced Cognition for Outcome-Based Learning), which organizes the integration of emerging large language models to facilitate advanced analysis, synthesis, and evaluation, as defined by Bloom's taxonomy, from basic knowledge recall to complex conceptualization. …”
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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

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Distinct structural features of the peroxide response regulator from group A Streptococcus drive DNA binding. by Chang Sheng-Huei Lin, Shi-Yu Chao, Michal Hammel, Jay C Nix, Hsiao-Ling Tseng, Chih-Cheng Tsou, Chun-Hsien Fei, Huo-Sheng Chiou, U-Ser Jeng, Yee-Shin Lin, Woei-Jer Chuang, Jiunn-Jong Wu, Shuying Wang

“…Furthermore, we have performed SAXS analysis and resolved the molecular architecture of PerR-DNA complex, in which two 30 bp DNA fragments wrap around two PerR homodimers by interacting with the adjacent positively-charged winged-helix motifs. …”
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Multimodal data fusion for Alzheimer's disease based on dynamic heterogeneous graph convolutional neural network and generative adversarial network by Xiaoyu Chen, Shuaiqun Wang, Wei Kong

“…Current research has progressed from single-modal data analysis to multi-modal data fusion, leveraging deep learning's efficient data analysis capabilities to handle complex datasets. …”
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Gamification in studying celestial mechanics using Kerbal Space Program by Pavlo Ponomarenko

“…Conclusions: the study demonstrates that KSP implements the basic principles of celestial mechanics and provides tools for the practical mastery of complex concepts by students. This study shows the significant potential of the game, which allows significantly expanding educational opportunities in the study of celestial mechanics, and the interactive format of the game allows students to learn complex physical phenomena and concepts in an accessible and visual way.…”
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Features of simulation of operator control of unmanned aerial vehicle and its target load by P. I. Savelov, Penghao Gu, A. A. Lobaty

“…The article is devoted to the formulation of the problem of synthesis of the control system of an unmanned aerial vehicle (UAV) with the participation of a human operator. An analysis is made of various approaches to the synthesis of systems, models of a human operator as a link in a tracking system, mathematical models and information support for complex human-machine systems, competencies required by UAV operators. …”
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Exploring Modality in Analytical Exposition Texts: A Study of Senior High School Students' Writing by Siti Khairani Ritonga, T. Silvana Sinar, T. Thyrhaya Zein

“…By addressing gaps in students’ use of modality, this research contributes to improving their expressive skills and their ability to tackle complex issues critically. Furthermore, it offers insights into how instructional strategies can better support students in mastering this essential aspect of academic communication. …”
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Transformation model of e-service quality: theoretical substantiation by N. Sh. Vatolkina

“…The author identified and systematized factors of technology adoption in view of consumer characteristics of the service and showed the cyclic nature of model development, when from complicated composition of factors in initial models of technology diffusion and the theory of intellectual acts through simplified ideas of factors in the theory of technology adoption the shift to current complex multi-level models was accomplished. The analysis of theories of technology continuous use showed that they were based on traditional categories of quality, expectations, perception and satisfaction of customer, as well as on the phenomenon of intentions to continue the use, which is applied in the theory of marketing. …”
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A SINGLE DIGITAL SPACE FOR THE EFFICIENT FUNCTIONING OF INDUSTRY by Yu. S. Bogachev, P. V. Trifonov

“…It is demonstrated that the potential of modern production of complex multicomponent products is determined by the ability to scale based on industry 4.0 technologies. …”
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Endogenous income elasticities by Fabrizio J. Missio

“…A key highlight is the RER’s ability to induce structural changes toward more complex and technology-intensive sectors. …”
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TOOLKIT FOR AN ASSESSMENT OF INTELLECTUAL MAINTENANCE OF ENTREPRENEURSHIP POTENTIAL: THEORETICAL BASES OF FORMATION by Svetlana A. Gusar

“…The complex nature of changes dictates the need for the formation and advancing of the intellectual potential, which results in the initial development of assessment tools to ensure intellectual development of entrepreneurship. …”
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