FORMATION OF ECOLOGICAL THINKING AMONG THE UNIVERSITY GRADUATES, NAMELY FUTURE PROFESSIONALS AND LEADERS by E. I. Khabarova, S. V. Nikitina, L. L. Budaeva

“…We now realize that market interests are often opposite to the humanitarian interests of citizens in social and environmental security. The attitude to the issues of environmental protection is becoming a permanent component of the management system. …”
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Prosthesis repair of oral implants based on artificial intelligenc`e finite element analysis by Yi Sun

“…Dentists often suggest dental implants to replace missing teeth; nevertheless, mechanical issues can develop with these implants, which could lead to prosthesis replacement or repairs. …”
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Wages in Employment Relations in the Tourism Sector in Yogyakarta in Justice Perspective by Fithriatus Shalihah, Siti Alviah, Imtikhan Anas Shob’ron

“…Issues such as sub-minimum wages and excessive working hours are prevalent among workers in the hotel, restaurant, and travel agency domains. …”
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A Comprehensive Multidimensional Analysis of Mental Health Challenges in the Digital Age by Fakhroddin Noorbehbahani, Hooman Hoghooghi Esfahani, Soroush Bajoghli

“…The research also highlights gender and age differences, noting that males report higher levels of issues like FOMO and Nomophobia compared to females. …”
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Demanding clients state their case: Comments on the client round table at La Rochelle (SFT universite d'ete, July 2002) by Chris Durban

“…The author draws reader's attention to a discussion of translation quality and priorities by three demanding buyers of financial translation, and highlights issues that might be of interest to students, teachers and practicing translators. …”
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Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

“…In contrast, time-series data from photovoltaic (PV) systems often exhibit high nonlinearity and non-stationarity, making it difficult to represent with a single Gaussian distribution, which affects detection performance. To address this issue and improve detection accuracy, this paper proposes a segmented GMM-IF outlier detection algorithm. …”
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The Republic of Armenia: on the Way to the Information Society by Mikhail A. Vus, Lyudmila V. Chelnokovа, Rafael M. Yusupov

“…The article is devoted to the issues of promotion of the Republic of Armenia on the way of building information society. …”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

“…One of the major challenges in classification was label noise resulting from 1) mislabeling of adjacent tissue, 2) PTC calcifications mimicking FTC features, and 3) capsule heterogeneity. To address this issue, we applied unsupervised segmentation to exclude mislabeled regions and consider capsular heterogeneity as a diagnostic feature. …”
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Challenges and Obstacles in the Development of Winter Sports Tourism in the Ski Slopes of Tehran by Siavash Imeni, Leyla Asadpour Shirazi

“…The ski tourism industry comprises various segments providing the products and services required by skiers, integrating sports and tourism industries. …”
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Decoupling Urban Street Attractiveness: An Ensemble Learning Analysis of Color and Visual Element Contributions by Tao Wu, Zeyin Chen, Siying Li, Peixue Xing, Ruhang Wei, Xi Meng, Jingkai Zhao, Zhiqiang Wu, Renlu Qiao

“…Constructing visually appealing public spaces has become an important issue in contemporary urban renewal and design. Existing studies mostly focus on single dimensions (e.g., vegetation ratio), lacking a large-scale integrated analysis of urban color and visual elements. …”
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On the black-box explainability of object detection models for safe and trustworthy industrial applications by Alain Andres, Aitor Martinez-Seras, Ibai Laña, Javier Del Ser

“…Explainable Artificial Intelligence methods aim to address this issue, but many existing techniques are model-specific and designed for classification tasks, making them less effective for object detection and difficult for non-specialists to interpret. …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…Initially, input documents undergo pre-processing steps, including sentence segmentation, word tokenization, stop word removal, and lemmatization, to enhance text quality. …”
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YOLOv5-MDS: Target Detection Model for PCB Defect Inspection Based on YOLOv5 Integrated With Mamba Architecture by Deming Guo, Qi Xi, Long Zhang, Jing Wang, Yilong Ye, Ziyi Zeng

“…Existing methods struggle to effectively detect these minute and scattered defects, especially in the context of industrial production, where high accuracy and speed are paramount. To address this issue, YOLOv5-MDS has been proposed, a convolutional neural network (CNN) specifically designed for image segmentation and classification. …”
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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…To address this longstanding issue, we propose a novel and efficient Asynchronous Spike Dynamic Metric and Slicing algorithm (ASDMS). …”
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A MultiScale Coordinate Attention Feature Fusion Network for Province-Scale Aquatic Vegetation Mapping From High-Resolution Remote Sensing Imagery by Yuzhe Wang, Yunfei Sun, Peng Zhang, Yanlan Wu, Hui Yang

“…Currently, relying solely on either prior knowledge-based methods or classifier methods makes it difficult to comprehensively capture the complex characteristics and variations of aquatic vegetation. To address this issue, we propose an expert feature embedded deep semantic segmentation model. …”
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Creation of the development strategy in enterprise based on dynamic SPACE-analysis by Valeriy Balan, Inna Tymchenko

“…The technique involves a strategic segmentation of the company, the formation of an expert group to assess reliable energy holding the current forecast period and on four aspects of SPACE-analysis. …”
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Analysis of the causes of improper medical decision-making in medical damage liability disputes in China: a text mining approach by Qian Xu, Yuwen Lyu, Xinzhu Zhang, Junrong Liu

“…Abstract Background Improper medical decision-making is a key issue in healthcare disputes worldwide. In China, medical malpractice lawsuits related to improper decision-making are on the rise, but research on the patterns and underlying factors of such litigation is limited. …”
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Quelques problèmes métalinguistiques en phonologie de l’anglais by Nicolas Ballier

“…It is argued that the graphical (ie spelling), phonetic and phonological transcriptions encapsulate a metalinguistic representation of the segmental level. Based on the analysis of some of the problems encountered by (French) EFL learners with transcription, this paper addresses some of the metalinguistic issues at stake in the very act of transcription. …”
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Active aging and the challenges for geriatric dentistry in health promotion by Ana Lúcia S. Ferreira de Mello, Alacoque Lorenzini Erdmann

“…The evolution of the epidemiological framework of elderly people oral health has been addressed by the literature in several areas and raised some issues, most of them concerns, from theoretical and practical point of view, for several segments of the society. …”
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Thrombolytic Therapy in Treatment in Patients with Pulmonary Embolism not High-risk: SIRENA Registry Data by N. A. Cherepanova, I. S. Mullova, T. V. Pavlova, A. D. Erlikh, O. L. Barbarash, S. A. Berns, E. A. Schmidt, D. V. Duplyakov

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