Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution by Shaowei Pan, Xingxing Cheng, Wenjing Fan

“…To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model (DC-PC-Dilated-IR-V2) in term of the deep convolutional network is constructed in this study. In the DC-PC-Dilated-IR-V2 model, the depthwise separable convolution (DSC) is applied to avoid the increase problem of parameters and calculations due to too many convolutional layers; the attention module is introduced to obtain a better representation of characteristics through information fusion and weighting, which allows the model to focus on the target area of thin section images; in addition, the dilated convolution is taken in, which enables the model to extract more global characteristics and higher-level semantic characteristics without increasing the convolution parameters, thereby improving the classification precision of the model. …”
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A novel digital competence assessment tool for parents: Development and validation study by Yitong Jia, Bojun Xu, Yuxuan Li, Xinqi Zhuang, Jianzhong Zhang, Yin-Ping Zhang

“…The validation study included 477 family caregivers selected from Northwest China. Construct validity with exploratory (EFA, n  = 248) and confirmatory factor analysis (CFA, n  = 229) was carried out to identify the factor structure of the scale. …”
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A METHOD FOR IMPROVING THE QUALITY INDICATORS OF A DISTRIBUTED FORENSIC INFORMATION SYSTEM by Mykhailo Mozhaiev, Pavlo Buslov

“…To meet these requirements, it is necessary to improve the systems for monitoring, protecting and transmitting information in the corresponding CN, which is impossible without solving the problem of monitoring signal parameters. Research has been carried out on the use of AOSA to ensure control over communication channels of computer networks. …”
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Optimizing firefighting resilience in airports through genetic algorithms and decision-making frameworks by Yulong Zhu, Wei Tian, Xuhong Jia, Quanyi Liu

“…Furthermore, by integrating human, mechanical, environmental, and managerial elements, a comprehensive resilience evaluation indicator system is constructed. We propose a modified composite weight calculation framework that innovatively introduces genetic algorithm (GA) in the weight combination process to simplify the model into a constrained minimization problem from a mathematical perspective, thus making the ranking results reflect ordinal and intensity information. …”
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Prevalence and Determinants of Household Access to Improved Latrine Utilization in Somalia: Health Demographic Survey (SHDS) 2020 by Hassan Abdi Ahmed, Dahir Abdi Ali

“…The study included 15 826 households weighted for representativeness. Four models were constructed after identifying relevant factors for the outcome variable. …”
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Knowledge of Healthcare Professionals Regarding Hepatitis B in Rania Hospitals by Zhino Raouf Ali, Mohammed Rasol Ahmed, Khalid Muhamad Hamad, Zhiar Hussen Wsu

“…Hepatitis B virus (HBV) infection is a major public health problem worldwide especially for healthcare professionals (HCPs). …”
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Value intelligence as a means of installation of theoretical axiology in the modern social and cultural space and in education by Yurii Pelekh, Andrii Matviichuk

“…This position is based on the thesis about the normative and constructive content of values for the personality and society. …”
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Somatic and stomatological status of patients with oncopathology of the maximumface area by Sh. F. Dzhuraeva, A. V. Ikonnikova

“…Oral cancer is a global problem in global health. The incidence of oral cancer remains steadily high. …”
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Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11 by Fangyu Hu, Mairheba Abula, Di Wang, Xuan Li, Ning Yan, Qu Xie, Xuedong Zhang

“…The C3k2_RCM module is appended for long–range context modeling, and the ARelu activation function is employed to alleviate the vanishing gradient problem. A database comprising 3000 images covering six types of cotton leaf diseases was constructed, and data augmentation techniques were applied. …”
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Structural strength optimization design of ultra-high-pressure and ultra-wear-resistant pneumatic ball valve opened and closed at large explosion instantaneously using finite eleme... by Xianmei Liu, Mingcun Zhang

“…A transient dynamic model is constructed through an explicit dynamics algorithm to simulate the dynamic response under high-frequency impact loads during the blasting opening and closing process. …”
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Image dehazing algorithm based on light-value weighted allocation and multi-layer restricted perception by Dongyang Shi, Sheng Huang, Wei Zhao

“…The proposed algorithm first constructs an atmospheric light estimation module based on weighted allocation. …”
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Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach by Lili Zhan, Yongxin Xu, Jinshan Zhu, Zhangshuo Liu

“…The purpose of this research is to address the problem of high-precision retrieval of the Chl-a concentration in small coastal waters. …”
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An Intelligent Regional Integrated Energy Dispatching Approach Considering Source-Load Uncertainty by Tianmeng Yuan, Yong Mu, Weibo Yin

“…A multi-micro-grid integrated energy system (MMIES) model was constructed in the study. In order to avoid the generation and errors of short-term speculative information and to obtain an ideal scheduling plan, an ideal transition scheduling was proposed in the second stage. …”
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Effects of Violin Back Arch Height Variations on Auditory Perception by Luca Jost, Mehmet Ercan Altinsoy, Hannes Vereecke

“…In this article, a single facet of this complex problem will be discussed using experimental results obtained for six violins of varying back arch height. …”
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A Pythagorean Fuzzy Multigranulation Probabilistic Model for Mine Ventilator Fault Diagnosis by Chao Zhang, Deyu Li, Yimin Mu, Dong Song

“…To guarantee the better reliability, safety, and economy of mine ventilators, in view of early detection and effective fault diagnosis of mechanical faults which could prevent unscheduled downtime and minimize maintenance fees, it is imperative to construct some viable mathematical models for mine ventilator fault diagnosis. …”
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FORMS OF IDENTIFYING AN ACTIVE PROFESSIONAL POSITION BY SPECIALISTS OF SERVICE SPHERE by Olena A. Ivanova

“…The article deals with the problem of identifying an active professional position of specialists in service sphere. …”
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SCM-DL: Split-Combine-Merge Deep Learning Model Integrated With Feature Selection in Sports for Talent Identification by Didem Abidin, Muhammed G. Erdem

“…In the literature, this process is called Talent Identification (TID) and is defined as “to know the players participating in the sport with the potential to be perfect.” The problem discussed in this paper focuses on the early identification of an athlete’s talented sports branch before they are assigned to a specific branch. …”
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Wpływ zmniejszania się mimośrodu na ugięcia prętów mimośrodowo ściskanych by Michał ŻYCZKOWSKI

“…This case can be treated as the limit case for the problem under consideration, the difference between the two types of load being zero.   …”
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Human inspired deep learning to locate and classify terrestrial and arboreal animals in thermal drone surveys by Kal Backman, Jared Wood, Maquel Brandimarti, Chad T. Beranek, Adam Roff

“…However, the large volume of ecological data generated introduces an additional problem of the requisite human resources to process and analyse such data. …”
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Does accumulated family risk inhibit adolescent physical activity at home? An examination with a longitudinal latent growth model by Jingtao Wu, Yanhong Shao, Wennan Zhao, Wanli Zang, Xinjuan Zhao, Jun Hu

“…Abstract Background The escalating prevalence of problem behaviors among adolescents, primarily stemming from accumulated family risk has emerged as a significant concern in contemporary school and family education. …”
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