The relevance and efficiency analysis of functioning the scientific technical library at industrial enterprises by S. M. Brykalov, A. S. Balyberdin, V. E. Borodina

“…The results analysis was done using well-known scientific methods (grouping, classification, analysis, synthesis, etc.) based on process, complex functional and system approaches. …”
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SERNet: Spatially Enhanced Recalibration Network for Building Extraction in Dense Remote Sensing Scenes by Kuikui Han, Yuanwei Yang, Xianjun Gao, Dongjie Yang, Lei Xu

“…SERNet divides the feature extraction process into three stages: spatial retention, enhancement, and recalibration. …”
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Socio-Economical Analysis of a Green Reverse Logistics Network under Uncertainty: A Case Study of Hospital Constructions by Alireza Alibakhshi, Amirreza Saffarian, Erfan Hassannayebi

“…This study addresses the critical issue of managing construction and demolition waste in urban environments. …”
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Microplastics in Weras Ganga, Bolgoda North Lake, Sri Lanka: A Reflection of Urban Waste Mismanagement by Mahesh Jayaweera, Shakthi Bastians, Janith Dissanayake, Chamini Hemachandra, Thilomi Samarakoon

“…Microplastic (MP) pollution has emerged as a significant environmental issue, especially within urban riverine systems affected by inadequate waste management practices. …”
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Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control by Slim Ben Chaabane, Rafika Harrabi, Hassene Seddik

“…The centroid’s position is then utilized to issue commands to control the robot. This innovative approach leverages iris movement as a means of communication and control, offering a potential breakthrough in assisting individuals with physical disabilities. …”
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Unsupervised Identification for 2-Additive Capacity by Principal Component Analysis and Kendall’s Correlation Coefficient in Multi-Criteria Decision-Making by Xueting Guan, Kaihong Guo, Ran Zhang, Xiao Han

“…An effective capacity identification methodology is definitely needed to conquer this issue. In this paper, we develop a novel unsupervised method for identifying 2-additive capacities by means of Principal Component Analysis (PCA) and Kendall’s correlation coefficient. …”
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Analyzing the determinant factors of spatial groundwater availability in the Akaki catchment, Central Ethiopia by Getamesay Nigussie, Mekuria Argaw, Dessie Nedaw, Tsegaye Tadesse, Andreas Hartmann

“…Human activities and climate change are hindering water supply in the Akaki catchment. This issue is aggravated due to excessive groundwater withdrawal. …”
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MiR-556-3p mediated repression of klotho under oxidative stress promotes fibrosis of renal tubular epithelial cells by Dong Zhang, Zongying Li, Yuan Gao, Hailing Sun

“…Abstract Chronic kidney disease (CKD) is a global health issue characterized by renal fibrosis, which leads to irreversible tissue damage. …”
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Blockchain and smart contracts for secure and transparent salary grade structure management by Ebenezer Essel Mensah, Richard Kwasi Ahiable, Jonah Nud-Worgbah, Kofi Sarpong Adu-Manu

“…Although the existing technologies provide the needed service, the “trust” issue remains challenging. This differs from salary management in some state institutions in developing countries, such as Ghana. …”
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An Exploration into the Effect of IELTS Teachers’ Self-Efficacy on their Resilience through a Self-efficacy Teacher Training Workshop by مریم طالبی, نسیم شنگرفام, بهدخت مال امیری

“…AbstractThe resilience of teachers has arisen as a crucial issue in developing exceptional teaching and learning experiences. …”
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Research on Integrated Control Strategy for Highway Merging Bottlenecks Based on Collaborative Multi-Agent Reinforcement Learning by Juan Du, Anshuang Yu, Hao Zhou, Qianli Jiang, Xueying Bai

“…By transforming the control framework into a Decentralized Partially Observable Markov Decision Process (Dec-POMDP), state and action spaces for heterogeneous agents are designed. …”
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A novel routing protocol for content-based publish/subscribe model in mobile sensor networks by Lin Lin, Jinfu Chen, Patrick Kwaku Kudjo, Omari Michael

“…The data traffic of the communication process in the application scenario has a bursting feature, and sometimes network congestion occurs. …”
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A hybrid cellular automaton model integrated with 3DCNN and LSTM for simulating land use/cover change by Wei Yang, Yu Zhang, Kun Hou, Xuejing Wang

“…LUCC is a nonlinear spatiotemporal process with complicated relationships and latent dependencies on spatial and temporal neighborhoods. …”
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Improving Fiqh Learning Outcomes Through a Mind Mapping-Based Flipped Classroom by Pristian Hadi Putra, Uun Fauzanah Fitri, Adi Putra, Endah Silawati

“…This is due to the use of conventional teaching models that fail to facilitate students’ engagement actively in the learning process. To address this issue, a flipped classroom model integrated with mind mapping techniques was implemented to enhance students’ understanding and academic performance. …”
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PEMFC RUL Prediction for Non-Stationary Time Series Based on Crossformer Model by Ning Zhou, He Zeng, Zefei Zheng, Ke Wang, Jianxin Zhou

“…However, the remaining useful life (RUL) issue of PEMFCs has been one of the main challenges limiting their commercialization. …”
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The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion by Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai

“…Abstract The diverse visual features of tobacco leaves during various curing stages are influenced by multiple factors such as the origin of the tobacco and the environment of the curing room, making precise identification challenging with single features or models. To address this issue, this study proposes a Bayesian Mixture Expert Recognition Model for Tobacco Leaf Curing Stages based on feature fusion. …”
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Biodegradation of Congo Red Azo Dye Using Lysinibacillus Capsici Immobilized on Polyurethane foam Biocarrier in Moving Bed Bioreactor by Soroush Dayani Najafabadi, Maryam Hasani Zonoozi, Roya Aliaskarian

“…The efficiency of dye and chemical oxygen demand (COD) removal in the MBBR was examined in relation to process time, filling ratio, and dye concentration. …”
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Socio-economic aspects of medical errors and their consequences in medical organizations by O. L. Zadvornaya, Yu. E. Voskanyan, I. B. Shikina, K. N. Borisov

“…The article presents the results of a review of world experience in developing approaches to assessing the safety of medical care in medical organizations, systematization and analysis of factors affecting the patient safety.Purpose: the purpose of the article is to study and assess the risks associated with medical errors and adverse events in the activities of medical organizations that affect the patient safety in order to reduce the loss of public health, improve the system of identification and monitoring of risk indicators that affect the safety of medical care.Methods: the method of rapid assessment and content analysis of published evidence, including who experience in safety of medical care, was used to highlight the issue. The methodology of functional benchmarking, which included the collection and analysis of the necessary information, the choice of individual functions, processes, methods of work of medical organizations working in similar conditions, was used in the study.Results: the approaches allowing to predict occurrence and development of risks in ensuring safety of medical care, reduction of losses of public health and social and economic costs of the state are considered and offered.Conclusions and Relevance: the materials presented in the article show that safety is a fundamental principle of providing medical services to patients and a critical component of the quality management system of medical care. …”
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Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease by Chang Hu, Yihong Dong, Shoubo Peng, Yuehan Wu

“…In the clinical diagnosis of mental disorders, there often arises a problem of limited labeled data due to factors such as large data volumes and cumbersome labeling processes, leading to the emergence of unlabeled data with new classes, which can result in misdiagnosis. …”
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Pesticide Residue Coverage Estimation on Citrus Leaf Using Image Analysis Assisted by Machine Learning by Adarsh Basavaraju, Edwin Davidson, Giulio Diracca, Chen Chen, Swadeshmukul Santra

“…In summary, this tool has the potential to assist growers with the decision-making process for controlling pesticide use rate and frequency, minimizing pesticide overuse.…”
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