Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography by Xiaodong Sheng, Tao Fan, Xiaoqi Jin, Jing Jin, Zhixian Chen, Guanqun Zheng, Min Lu, Zongcheng Zhu

“…Aiming at the problem that the traditional coronary artery centerline extraction method is computationally intensive and requires a large number of manual interventions, a fully automatic coronary artery centerline tracking extraction method is proposed. …”
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FORMATION OF EDUCATIONAL AUTONOMY OF STUDENTS OF ECONOMIC SPECIALITIES BY MEANS OF DIGITAL TECHNOLOGIES by Voshkolup Hanna

“…The article is devoted to the problem of studying the peculiarities of the formation of educational autonomy of students of economic specialties by means of digital technologies. …”
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Sex-related differences in the association between migraine, COVID-19, and long COVID: a population-based cohort by Linda Al-Hassany, Antoinette MaassenVanDenBrink, Tobias Kurth

“…One of these long COVID symptoms, headache, often resembles migraine-like features. Migraine shares similarities with COVID-19 and long COVID, yet the influence of sex is understudied. …”
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The Use of Neural Networks in Distance Education Technologies for the Identification of Students by O. A. Kozlova, A. A. Protasova

“…The purpose of this research is to study the problems of the features of teaching technologies of modern artificial neural networks for carrying out the procedure of unambiguous authentication of students according to a pre-formed reference base of digital biometric characteristics of the authorized users in the field of distance educational technologies.In the modern world, artificial neural networks are successfully used in both applied and scientific fields. …”
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PENGEMBANGAN “CERPEN SAKU” SEBAGAI WAHANA BELAJAR BERBASIS WEB PADA MATERI TEKS SASTRA DI SEKOLAH MENENGAH PERTAMA by Alfi Fadhila, Ani Rakhmawati

“…Short stories have three features: 1) Get to know Short Stories; 2) My short story; and 3) Diction House. …”
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Reaction time assessment in children with ADHD Avaliação do tempo de reação em crianças portadoras do transtorno do déficit de atenção/hiperatividade (TDAH) by Cristiana Bolfer, Erasmo Barbante Casella, Marcus Vinícius Chrysóstomo Baldo, Amanda Manzini Mota, Miriam Harumi Tsunemi, Sandra Pasquali Pacheco, Umbertina C. Reed

“…Attention deficit, impulsivity and hyperactivity are the cardinal features of attention deficit hyperactivity disorder (ADHD) but executive function (EF) disorders, as problems with inhibitory control, working memory and reaction time, besides others EFs, may underlie many of the disturbs associated with the disorder. …”
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Stable isotopes of 18O and D in key components of water flows and the permafrost zone of Central Yakutia (Eastern Siberia) by A. A. Galanin, M. R. Pavlova, T. S. Papina, A. N. Eyrikh, N. A. Pavlova

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Young Scientists’ Motivation for the Research Activity in Russian Regional Universities by R. A. Dolzhenko, V. A. Karpilianskii, R. A. Hady, A. S. Didenko

“…Most promising young researchers are deprived of the freedom to independently choose the field of application of their abilities; also, scientists do not have access to resources to solve complex innovative problems and cannot directly represent the products of their work to those people, who may need them. …”
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Noise Robust Underwater Fishing Net Recognition Based on Range Gated Imaging by Zhensong Xu, Xinwei Wang, Liang Sun, Bo Song, Yue Zhang, Pingshun Lei, Jianan Chen, Jun He, Yan Zhou, Yuliang Liu

“…The proposed SFNR-Net introduces an auxiliary semantic segmentation module (ASSM) to introduce extra semantic information and enhance feature representation under noisy conditions. Besides, to address the problem of unbalanced training data, we employ semantic regulated cycle-consistent generative adversarial network (CycleGAN) as a data augmentation approach. …”
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Research progress on constituent structure and extraction technique of the polysaccharide from Agaricus blazei by CUI Guomei, LIU Lina, TIAN Guangrui, LI Shunfeng, XU Fangfang, WANG Anjian

“…The extraction techniques of polysaccharides and the features of different extraction methods were enumerated and compared. …”
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STTMC: A Few-Shot Spatial Temporal Transductive Modulation Classifier by Yunhao Shi, Hua Xu, Zisen Qi, Yue Zhang, Dan Wang, Lei Jiang

“…The identification of modulation types under small sample conditions has become an increasingly urgent problem. In this paper, we present a novel few-shot AMC model named the Spatial Temporal Transductive Modulation Classifier (STTMC), which comprises two modules: a feature extraction module and a graph network module. …”
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Multilevel Space-Time Aggregation for Bright Field Cell Microscopy Segmentation and Tracking by Tiffany Inglis, Hans De Sterck, Geoffrey Sanders, Haig Djambazian, Robert Sladek, Saravanan Sundararajan, Thomas J. Hudson

“…A multilevel aggregation method is applied to the problem of segmenting live cell bright field microscope images. …”
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Counterfactual Thinking in Tourette’s Syndrome: A Study Using Three Measures by Stefano Zago, Adriana Delli Ponti, Silvia Mastroianni, Federica Solca, Emanuele Tomasini, Barbara Poletti, Silvia Inglese, Giuseppe Sartori, Mauro Porta

“…It is a pervasive cognitive feature in everyday life and it is closely related to decision-making, planning, problem-solving, and experience-driven learning—cognitive processes that involve wide neuronal networks in which prefrontal lobes play a fundamental role. …”
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An Improved Decision Support System for Identification of Abnormal EEG Signals Using a 1D Convolutional Neural Network and Savitzky-Golay Filtering by Unmesh Shukla, Geetika Jain Saxena, Manish Kumar, Anil Singh Bafila, Amit Pundir, Sanjeev Singh

“…In this study, an improved one-dimensional CNN-only system of 25 layers has been proposed to identify abnormal and normal adult EEG signals using a single EEG montage without using any explicit feature extraction technique. Most of the previous systems based on deep learning, that have been proposed to solve this problem, use extremely deep architectures containing very large numbers of layers. …”
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Evaluation method of hydrophobicity of composite insulators based on improved Mask R-CNN by SHENG Fei, CAO Liu, LIU Yulong, HUANG Jie, HUANG Yaqian, ZHU Yanqing

“…In this paper, the classification problem is transformed into the target detection problem, and the improved mask region-based convolutional neural network (Mask R-CNN) algorithm is used to evaluate the hydrophobicity level of composite insulators. …”
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An Efficient Printing Defect Detection Based on YOLOv5-DCN-LSK by Jie Liu, Zelong Cai, Kuanfang He, Chengqiang Huang, Xianxin Lin, Zhenyong Liu, Zhicong Li, Minsheng Chen

“…Secondly, we incorporate the Large Selective Kernel (LSK) and RepConv modules into the feature fusion network, while also integrating a loss function that combines Normalized Gaussian Wasserstein Distance (NWD) with Efficient IoU (EIoU) to enhance the model’s focus on small targets. …”
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A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China by Nan Jiang, Yange Li, Zheng Han, Jiaming Yang, Bangjie Fu, Jiaying Li, Changli Li

“…The improvement of landslide susceptibility assessment is a long-standing problem in hazard mitigation work, wherein previous studies have proposed various training models. …”
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Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

“…The experimental results show that the KANs-Unet algorithm exhibits better detection performance compared to current mainstream semantic segmentation algorithms in the task of detecting abnormal speckle areas. It solves the problem of long model training time caused by insufficient computing power and provides a new method for the detection and analysis of abnormal features in power spectrum images.…”
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Single-Shot Wavefront Sensing in Focal Plane Imaging Using Transformer Networks by Hangning Kou, Jingliang Gu, Jiang You, Min Wan, Zixun Ye, Zhengjiao Xiang, Xian Yue

“…Our model integrates a Normalization-based Attention Module (NAM) into the CoAtNet architecture, which strengthens feature extraction and leads to more accurate wavefront characterization. …”
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Classification of Cervical Biopsy Images Based on LASSO and EL-SVM by Pan Huang, Shuailei Zhang, Min Li, Jing Wang, Cailing Ma, Bowei Wang, Xiaoyi Lv

“…However, the classification accuracy of computerized biopsy tissue images with similar lesions is low, and the problem of incomplete experimental objects needs to be addressed. …”
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