Performance evaluation model of the narrators of Rahian Noor camps. by Abbas Alwardi, Mohammad Mahdi Mohtadi, Mohammadjavad Pahlevanzadeh, Amirhossein Saffarinia, Mohammad Reza Fathi

“…In the second phase of the research, by using a questionnaire, opinions were sought from the specific field of Rahian Noor on the two issues of weighting the indicators extracted in the first phase and the performance status of the narrators. …”
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Research progress on physical and chemical properties of coal gasification slag and its preparation of building materials by Xiaowei GU, Xiaowei GE, Shaoqian LIU, Xuecheng DING, Li WANG, Dongwei HUANG, Dawei WANG, Yile MA

“…The formation mechanism and classification of CGS are systematically reviewed, categorizing it into coal gasification coarse slag (CGCS) and coal gasification fine slag (CGFS). …”
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DEFINITION OF PATIENTS GENETIC PREDISPOSITION TO INCREASED WEAR OF DENTAL HARD TISSUES by I.M. Tkachenko

“… In literature the information about research issues that the morphology of the teeth mainly caused by hereditary factors and the process of dentinogenesis regulated by many genes is not found. …”
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Distribution characteristics and value range of numerical simulation mechanical parameters in coal seam mining by Nan WANG, Yang LI, Gustavo André PANEIRO, Xinghai LEI, Xiaoming SHI, Yihang LI, Yutong CUI, Haotian LIU, Jinlong CAO, Tieji WANG

“…Using MATLAB for classification and organization, a reference dataset for the numerical simulation parameters of coal and rock strata was constructed. …”
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Socio-demographic profile of medical students in Aotearoa, New Zealand (2016–2020): a nationwide cross-sectional study by Warwick Bagg, Jonathan Williman, Bridget Kool, Peter Crampton, Elana Curtis, Garry Nixon, Chris Hendry, Susan Shaw, Zoe Bristowe, Paul Brunton, Damian Scarf, Collin Tukuitonga, Denise Wilson, Kyle S Eggleton

“…Variables of interest: gender, citizenship, ethnicity, rural classification, socioeconomic deprivation, school type and school socioeconomic scores. …”
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Clinical implications of dextrocardia based on four visceroatrial situs studies by Mao-Sheng Hwang, Ching-Chia Kuo, Chao-Jan Wang, Wen-Jen Su, Jaw-Ji Chu, Hung-Tao Chung, Hsiang-Ju Hsiao, Yi-Jung Chang

“…Additionally, these studies had complex classification and presentation. Nor did these studies elaborate on the distribution of the associated CHD's complexity, the various segmental connections, and associated CHD among the four visceroatrial situs. …”
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Combining Global Features and Local Interoperability Optimization Method for Extracting and Connecting Fine Rivers by Jian Xu, Xianjun Gao, Zaiai Wang, Guozhong Li, Hualong Luan, Xuejun Cheng, Shiming Yao, Lihua Wang, Sunan Shi, Xiao Xiao, Xudong Xie

“…To address these issues and enhance both the completeness and accuracy of fine river identification, this study proposes an advanced fine river extraction and optimization method. …”
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Paroxysmal atrial fibrillation: treatment choice by B. A. Tatarsky

“…Characteristics and classification of various paroxysmal atrial fibrillation (AF) forms are presented. …”
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THE JOURNEY TO THE LAND IATROGENESIS by L. I. Dvoretsky

“…The first message introduces readers with a history issue, the origins of the doctrine of iatrogenesis, the first appearance of the term definitions iatrogenesis. …”
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Identification of water sources of mine water bursts based on the FPS-DT model by Kaide Liu, Yu xia, Xiaolong Li, Chaowei Sun, Wenping Yue, Qiyu Wang, Songxin Zhao, Shufeng Chen

“…The SMOTE algorithm is then applied to address the issue of class imbalance. Based on this, a decision tree model (FPS-DT) is constructed using the CART algorithm. …”
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Towards lightweight model using non-local-based graph convolution neural network for SQL injection detection by Duc-Chinh Nguyen, Manh-Hung Ha, Manh-Tuan Do, Oscal Tzyh-Chiang Chen

“…SQL injection poses serious threats to web applications and databases by enabling unauthorized access and data leakage. To address this issue, we propose a unique graph network, an innovative topology not explored previously for SQL injection detection. …”
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A Brain Network Analysis-Based Double Way Deep Neural Network for Emotion Recognition by Weixin Niu, Chao Ma, Xinlin Sun, Mengyu Li, Zhongke Gao

“…Constructing reliable and effective models to recognize human emotional states has become an important issue in recent years. In this article, we propose a double way deep residual neural network combined with brain network analysis, which enables the classification of multiple emotional states. …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

“…This study explores automated depression classification, leveraging computational techniques to address this issue. …”
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A Robust Fuzzy Model for Evaluating Defects in Building Elements by MANI AMROUNI HOSSEINI, Mehdi Ravanshadnia, Majid Rahimzadegan, saeed ramezani

“…This study addresses the critical issue of building element defect management, focusing on prevalent concerns like cracks, dampness, and surface degradation. …”
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RAP variability intelligent control framework for hot in-plant recycling of asphalt pavement by Guangji Xu, Mengze Du, Zan Shen, Fan Yang, Chengjia Han

“…Effectively controlling the variability of RAP materials has become key to ensuring the long-term durability of recycled pavements. To address this issue, this study proposes an intelligent framework for controlling RAP variability, introducing a method for RAP classification and storage based on the original performance of the pavement, as well as a method for calculating the maximum RAP incorporation rate based on RAP variability. …”
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Denoising Graph Inference Network for Document-Level Relation Extraction by Hailin Wang, Ke Qin, Guiduo Duan, Guangchun Luo

“…The conventional sentence-level RE task addresses this issue by a denoising method using the shortest dependency path to build a long-range semantic dependency between entity pairs. …”
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Brain-Shapelet: A Framework for Capturing Instantaneous Abnormalities in Brain Activity for Autism Spectrum Disorder Diagnosis by Yijie Ren, Zhengwang Xia, Yudong Zhang, Zhuqing Jiao

“…It is evaluated on the ABIDE dataset and achieves a classification accuracy of 82.8%, significantly outperforming traditional brain network modeling methods. …”
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Partial Discharge Diagnosis Using Semi-Supervised Learning and Complementary Labels in Gas-Insulated Switchgear by Ho Trong Tai, Young-Woo Youn, Hyeon-Soo Choi, Yong-Hwa Kim

“…Deep neural networks have proven to be highly efficient in fault detection and classification using partial discharges (PDs) in gas-insulated switchgear (GIS). …”
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Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China by Shiqin Li, Ilyas Nurmemet, Jumeniyaz Seydehmet, Xiaobo Lv, Yilizhati Aili, Xinru Yu

“…Soil salinization is a critical global environmental issue, exacerbated by climatic and anthropogenic factors, and posing significant threats to agricultural productivity and ecological stability in arid regions. …”
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Radar signal recognition exploiting information geometry and support vector machine by Yuqing Cheng, Muran Guo, Limin Guo

“…Then, an SVM is adopted to recognise LPI radar signals due to its superiority in addressing the dimension disaster and non‐linear inseparability issue. The extracted time‐frequency features are fed into the SVM for classification and recognition. …”
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