Failure Detection of Laser Welding Seam for Electric Automotive Brake Joints Based on Image Feature Extraction by Diqing Fan, Chenjiang Yu, Ling Sha, Haifeng Zhang, Xintian Liu

“…Traditional weld seam detection methods include destructive testing and non-destructive testing; however, destructive testing has high costs and long cycles, and non-destructive testing, such as radiographic testing and ultrasonic testing, also have problems such as high consumable costs, slow detection speed, or high requirements for operator experience. …”
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Enhancing urban identity through the refined management of architectural styles: insights from Wuhan by Wei Liu, Dong Li, Raffaele Pernice, Yuan Meng, Ruoying Wang, Chuanjie Lu

“…First, the research systematically outlines the diachronic development of architectural features and styles in Wuhan and meticulously analyses the prevailing problems. …”
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Features of Development and Course of Disseminated Intravascular Coagulation Syndrome During Surgical Interventions in Children with Oncological Diseases by N. P. Leonov, V. V. Schukin, G. A. Novichkova, M. A. Maschan, F. I. Ataullakhanov, S. S. Yashin, A. M. Zeynalov, Е. A. Spiridonova

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Features of short-term heart rate variability in internally displaced people with type 2 diabetes mellitus by V.A. Serhiyenko, V.B. Sehin, V.I. Pankiv, A.A. Serhiyenko

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A knowledge graph attention network for the cold‐start problem in intelligent manufacturing: Interpretability and accuracy improvement by Ziye Zhou, Yuqi Zhang, Shuize Wang, David San Martin, Yongqian Liu, Yang Liu, Chenchong Wang, Wei Xu

“…Additionally, we employ the Integrated Gradients (IG) method to shed light on the model's predictions, revealing the relative importance of each feature within the knowledge graph. Notably, this work represents the first application of knowledge graph attention neural networks to address the cold‐start problem in steel rolling production. …”
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Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem by Maria Fernanda Morales Oreamuno, Sergey Oladyshkin, Wolfgang Nowak

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Impulse Control Problems Following Bariatric Surgery and Extrapyramidal Adverse Effects with Fluoxetine: A Case Report by Ayşe Gökçen Gündoğmuş, Kübra Sezer Katar

“…Especially when surgery is used in patients with eating disorders, different addiction problems and impulse control disorders may arise afterward. …”
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Existence of Solutions for a Perturbed <i>N</i>-Laplacian Boundary Value Problem with Critical Growth by Sheng Shi, Yang Yang

“…This is achieved by employing a combination of the Trudinger–Moser-type inequality and a linking theorem based on the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="double-struck">Z</mi><mn>2</mn></msub></semantics></math></inline-formula>-cohomological index. The main feature and novelty of this paper lies in extending the equation to <i>N</i>-Laplacian boundary value problems utilizing the aforementioned methods. …”
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A Three-Stage Optimization Algorithm for the Stochastic Parallel Machine Scheduling Problem with Adjustable Production Rates by Rui Zhang

“…To address the difficulty, a simulation-based three-stage optimization framework is presented in this paper for high-quality robust solutions to the integrated scheduling problem. The first stage (crude optimization) is featured by the ordinal optimization theory, the second stage (finer optimization) is implemented with a metaheuristic called differential evolution, and the third stage (fine-tuning) is characterized by a perturbation-based local search. …”
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Research on Capacitated Multi-Ship Replenishment Path Planning Problem Based on the Synergistic Hybrid Optimization Algorithm by Lin Yang, Qinghua Chen, Junjie Mu, Tangying Liu, Xiaoxiao Li, Shuxiang Cai

“…Ship replenishment path planning is a critical problem in the field of maritime logistics. This study proposes a novel synergistic hybrid optimization algorithm (SHOA) that effectively integrates ant colony optimization (ACO), the Clarke–Wright algorithm (CW), and the genetic algorithm (GA) to solve the capacitated multi-ship replenishment path planning problem (CMSRPPP). …”
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Spreading Anti-Communism Among Elites? Public Diplomacy, Transnational Intellectual Exchange, and the Journal Problems of Communism by Alice Ciulla

“…This paper explores Problems of Communism, a journal initially launched in 1952 by the International Information Administration (IIA) and later managed by the United States Information Agency (USIA) until 1992, when it was renamed Problems of Post-Communism. …”
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The Implementation of Spectral Element Method in a CAE System for the Solution of Elasticity Problems on Hybrid Curvilinear Meshes by Dmitriy Konovalov, Anatoly Vershinin, Konstantin Zingerman, Vladimir Levin

“…The implementation of SEM in a CAE system for the solution of elasticity problems is considered. An important feature of the proposed variant of SEM implementation is a support of hybrid curvilinear meshes. …”
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Proportional Topology Optimization algorithm with virtual elements for multi-material problems considering mass and cost constraints by Minh Tuan Tran, Minh Ngoc Nguyen

“… This paper presents an extension of the Proportional Topology Optimization (PTO) with virtual elements for multi-material problems with mass and cost constraints. In particular, the linear virtual element method (VEM) is constructed on unstructured polygonal meshes. …”
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Integrating Problem-Based Learning into E-Modules : A Development Study with Validation and Student Response Analysis by Linda Safitri, Nurkhairo Hidayati, Suryanti Suryanti

“…This study aims to develop an e-module integrated Problem-Based Learning (PBL), validate the feasibility of the developed e-module, and analyze student responses to its use in learning. …”
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PRESENTATION OF PROBLEMS OF UKRAINIAN DRAMA AND STAGE ART IN IVAN FRANKO’S PUBLICATIONS ON THE PAGES OF THE MAGAZINE “KURJER LWOWSKI” by Galyna I. Hrabivska

“…Franko paid special attention to the problems of its functioning. A peculiar Franko’s method is to attract a foreign public to the problems of the development of the Ukrainian theatre in general. …”
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Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

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Clinical Features and Management of the Disease Caused by New Coronaviral Infection (COVID-19) in Children. Version 2 by Yurii S. Alexandrovich, Ekaterina I. Alekseeva, Maya D. Bakradze, Alexander A. Baranov, Tatiana T. Batysheva, Nato D. Vashakmadze, Marina G. Vershinina, Elena A. Vishneva, Anastasia A. Glazyrina, Olga B. Gordeeva, Elena Yu. Dyakonova, Еlena S. Zholobova, Dmitry V. Zabolotsky, Nadezda N. Zvereva, Irina V. Zelenkova, Dmitry O. Ivanov, Elena V. Kaytukova, George A. Karkashadze, Ivan V. Konovalov, Daria S. Kruchko, Tatiana V. Kulichenko, Seda Kh. Kurbanova, Yliya G. Levina, Yuri V. Lobzin, Ludmila N. Mazankova, Tea V. Margieva, Leyla S. Namazova-Baranova, Yulia Yu. Novikova, Dmitry Yu. Ovsyannikov, Elena E. Petryaykina, Yuriy V. Petrenko, Nataliya V. Petrova, Dmitry V. Prometnoy, Konstantin V. Pshenisov, Gregory V. Revunenkov, Alexey Yu. Rtishchev, Dina S. Rusinova, Mukhammad A. Sayfullin, Ruslan F. Sayfullin, Liliya R. Selimzyanova, Vladimir K. Tatochenko, Rustem F. Tepaev, Aleksandr N. Uskov, Marina V. Fedoseenko, Andrey P. Fisenko, Andrey V. Khar’kin, Kamilla E. Efendieva, Alexey V. Yakovlev

“…The authors highlight the problems of prevention, diagnostics and management of pathological conditions caused by COVID-19 in the article according to the presented guidelines. …”
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A systematic literature review of diabetes prediction using metaheuristic algorithm-based feature selection: Algorithms and challenges method by Sirmayanti, Pulung Hendro PRASTYO, Mahyati, Farhan RAHMAN

“…To address the problems, we can employ metaheuristic algorithm-based feature selection. …”
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SPIFFNet: A Statistical Prediction Interval-Guided Feature Fusion Network for SAR and Optical Image Classification by Yingying Kong, Xin Ma

“…The problem of the feature extraction and fusion classification of optical and SAR data remains challenging due to the differences in optical and synthetic aperture radar (SAR) imaging mechanisms. …”
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EnSLDe: an enhanced short-range and long-range dependent system for brain tumor classification by Wenna Chen, Junqiang Liu, Xinghua Tan, Jincan Zhang, Ganqin Du, Qizhi Fu, Hongwei Jiang

“…Firstly, the FExM is used to extract features and the multi-scale parallel subnetwork is constructed to fuse shallow and deep features. …”
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