Attributes of effective EFL teachers in Vietnamese context as perceived by students and teachers by Nguyen Hai Quan

“…In contrast, qualities most desired by learners included a positive attitude towards the teaching career and teachers’ willingness to care, understand learners’ problems, encourage, and treat all students on a fair basis.…”
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RJAN: Region‐based joint attention network for 3D shape recognition by Yue Zhao, Weizhi Nie, Jie Nie, Yuyi Zhang, Bo Wang

“…Typical methods usually extract the multiview global features and aggregate them together to generate 3D shape descriptors. …”
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Choosing a Manure Recycling System for a Dairy Farm with Tied Housing by R. A. Uvarov

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Tomographic task solution using a dichotomous discretization scheme in polar coordinates and partial system matrices invariant to rotations by A. А. Manushkin, N. N. Potrachov, A. V. Stepanov, E. Yu. Usachev

“…A 2D and 3D digital phantom was used to show the features of the proposed reconstruction algorithm and its applicability to solving tomographic problems.Conclusions. …”
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Automatic depersonalization of confidential information by N G. Babak, L. Yu. Belorybkin, S. A. Otsokov, A. T. Terenin, A. I. Shabrova

“…The developed system solves the problem of automatic anonymization of confidential data. …”
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A security data detection and management method in digital library network based on deep learning by Diyin Zhu, Yihang Wei, Jiali Cai, Jingwen Wang, Zhongshan Chen

“…The method combines the structures of temporal convolutional network (TCN) and bidirectional gated recurrent unit (BiGRU) to extract spatial and temporal features from digital library network security data. …”
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Application of Digital Educational History Data to Predict the Risk of Student Failure by Tatyana Kustitskaya, Roman Esin, Alexey Kytmanov, Tatyana Zykova

“…An approach to solving these problems using digital educational history of students - multidimensional structured dynamically changing data on their educational activities and current learning outcomes - is proposed. …”
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Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques by Ifrah Naeem, Allah Ditta, Tehseen Mazhar, Muhammad Anwar, Mamoon M. Saeed, Habib Hamam

“…The Principal Component Analysis (PCA) method was used for feature selection. The study uses different parameters to evaluate the model’s classification results. …”
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Machine Learning Integrated Multivariate Water Quality Control Framework for Prawn Harvesting from Fresh Water Ponds by Gaganpreet Kaur, M. Braveen, Singamaneni Krishnapriya, Surindar Gopalrao Wawale, Jorge Castillo-Picon, Dheeraj Malhotra, Jonathan Osei-Owusu

“…The aquaculture business still confronts obstacles such as the development of improved monitoring systems, the early detection of outbreaks, enormous mortality, and promoting sustainability, all of which are open problems that need to be solved. The goal of this study is to provide a machine learning (ML)-based aquaculture solution that boosts prawn growth and production in ponds. …”
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Implementation of Agile Software Development in the Design of Management Information Systems Inventory and Finance at P2MKP Alang-Alang Tumbuh Subur by Dinda Safitri Ramadhani, Nida Aulia, Arinda Soraya Putri, Munajat Tri Nugroho, Arga Seta Asmara Sakti, Raden Danang Aryo Putro Satriyono

“…With CRUD (create, read, update, delete) and report printing features, users can easily change and print reports. …”
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Hybrid Naïve Bayes Models for Scam Detection: Comparative Insights From Email and Financial Fraud by Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

“…By looking at two specific case studies on phishing emails and financial fraud detection, we look into the math behind Naïve Bayes and talk about its flaws, such as the assumption that features are independent, problems with high-dimensional data, and extreme class imbalance. …”
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TRASNFORMASI PENGEMBANGAN KURIKULUM PENDIDIKAN TINGGI DI IAIN PONTIANAK MENGACU KKNI & SNPT by M. Edi Kurnanto, Ibrahim Ibrahim

“…This research was motivated by technical problems experienced by curriculum developers at IAIN Pontianak, especially the complexity of development work carried out manually. …”
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Multi-defect detection and classification for aluminum alloys with enhanced YOLOv8. by Ying Han, Xingkun Li, Gongxiang Cui, Jie Song, Fengyu Zhou, Yugang Wang

“…Fine-grained adjustments and improvements are made to enhance neck network layers and the feature extraction capability. Defect features are extracted and analyzed more efficiently, and the network model better identifies defects such as jet, camouflage, etc. …”
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Inception–Attention–BiLSTM Hybrid Network: A Novel Approach for Shear Wave Velocity Prediction Utilizing Well Logging by Jiayi Li, Yaoting Lin, Zhixian Gui, Peng Wang

“…After the emergence of deep learning methods, a series of new approaches have been provided to tackle these problems. In this study, a novel Inception–attention–BiLSTM hybrid network is proposed to enhance shear wave prediction accuracy and stability by integrating the strengths of three components: Inception for multi-scale feature extraction, attention mechanisms for dynamically highlighting key temporal features, and BiLSTM for capturing long-term dependencies in logging data. …”
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Policy of State Protectionism in Countries with Various Level of Economic Development by M. Yu. Elsukov, B. Barsbold

“…The article deals with the problems of forming a modern model of the state’s economic development. …”
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FPFS-YOLO: An Insulator Defect Detection Model Integrating FasterNet and an Attention Mechanism by Yujiao Chai, Xiaomin Yao, Manlong Chen, Sirui Shan

“…In this study, to mitigate parameter redundancy in the backbone of the YOLO11n model, the FasterNet lightweight network was introduced, and some convolution was embedded into the shallow network to enhance its feature extraction ability. To solve problems such as insufficient attention to important features and the low detection ability of small defects in the YOLO11n model network, the ParNet attention mechanism was added, along with a small-defect detection layer, which improved the detection accuracy of the model. …”
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IMPORT SUBSTITUTION OF GEODETIC HARDWARE AND SOFTWARE COMPLEXES AS A GUARANTEE OF SECURITY, RELIABILITY AND AVAILABILITY OF SPATIAL DATA by Aleksandr V. Boikov, Andrei G. Zimin, Viktor V. Yurov, Evgenii I. Starovoitov, Vitally A. Telets

“…The article aims to describe the functionality of the created hardware and software, the employed algorithm for resolving phase ambiguities, and the key characteristics of the ASIC used in the equipment. A distinguishing feature of the system is the realization of all functions necessary for coordinate determination. …”
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Issue of establishing socially responsible public procurement of tactical equipment by I. Storozhuk

“…The purpose of this study was to examine the specific feature of legal regulation of socially oriented public procurement with a focus on tactical equipment. …”
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LoG-staging: a rectal cancer staging method with LoG operator based on maximization of mutual information by Ge Zhang, Hao Dang, Qian Zuo, Zhen Tian

“…Then, we propose a new feature clustering method by leveraging the maximization of mutual information (MMI) mechanism which jointly learns the parameters of a neural network and the cluster assignments of features. …”
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Variance Reduction Optimization Algorithm Based on Random Sampling by GUO Zhenhua, YAN Ruidong, QIU Zhiyong, ZHAO Yaqian, LI Rengang

“…To address the above challenge, a variance reduction optimization algorithm, DM-SRG (double mini-batch stochastic recursive gradient), based on mini-batch random sampling is proposed and applied to solving convex and non-convex optimization problems. The main feature of the algorithm including an inner and outer double loop structure is designed: the outer loop structure uses mini-batch random samples to calculate the gradient, approximating the full gradient and reducing the gradient calculation cost; the inner loop structure also uses mini-batch random samples to calculate the gradient and replace the single sample random gradient, improving convergence stability of the algorithm. …”
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