Physical development of children of the city Dnipro, patientswith cystic fibrosis by Kramarenko N.N., Ivanus S.H.

“…36 children with cystic fibrosis are inspected. Certain modern problems of children’s cystic fibrosis and questions related with warning and slowing down unfavorable consequences of illness in the future are determined. …”
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Caractéristiques d’une supervision à distance de stagiaires en enseignement en ce qui concerne la création d’un sentiment de présence by Matthieu Petit

“…Increasingly, supervisors of these internships can use a range of ICT to limit problems caused by distance, including the isolation of the learner. …”
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Flame Combustion State Detection Method of Cement Rotary Furnace Based on Improved RE-DDPM and DAF-FasterNet by Yizhuo Zhang, Zixuan Gu, Huiling Yu, Shen Shi

“…By applying a mask to the burning area and mixing it with the actual image in the denoising process, local diversity generation in the image was realized, and the problem of limited and uneven data was solved. Secondly, this article proposes the DAF-FasterNet model, which incorporates a deformable attention mechanism (DAS) and replaces the ReLU activation function with FReLU so that it can better focus on key flame features and extract finer spatial details. …”
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A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction by Rakibul Islam, Azrin Sultana, MD. Nuruzzaman Tuhin

“…In the pre-processing of the data, techniques such as upsampling have been utilized to address the class imbalance problem. Normalization has been employed to scale the dataset, and feature selection has been applied to choose important features. …”
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Monocular Image Depth Estimation Based on the Fusion of Transformer and CNN by ZHANG Tao, ZHANG Xiao-li, REN Yan

“…First, ResNet-50 is used as the backbone network of the encoder-decoder network to extract image features. At the same time, the encoder-decoder network adopts a level fusion method to fuse the features of each level of the encoder as the decoder to input to improve the utilization of multi-scale feature information by the depth estimation network. …”
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A Novel Multiscale Deep Health Indicator with Bidirectional LSTM Network for Bearing Performance Degradation Trend Prognosis by Han Wang, Gang Tang, Youguang Zhou, Yujing Huang

“…In addition, a stacked autoencoder network is used for deep feature extraction of selected statistical features. …”
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Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation by Burcak Asal, Ahmet Burak Can

“…In order to realize these concepts, we propose a unique attention mechanism with feature and relation based knowledge distillation methods. …”
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Combined Thermal Index Development for Urban Heat Island Detection in Area of Split, Croatia by Majda Ćesić, Katarina Rogulj, Andrija Krtalić

“…UHIs are becoming an increasingly common problem in large cities, which appear due to excessive urbanization and reductions in natural cover and vegetation. …”
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An Efficient Method for Offset Mitigation in Free-Space Optical Systems by Omar A. Saraereh, Imran Khan, Jeong Woo Lee

“…Channel estimation is a key feature for free space optical (FSO) wireless communication systems which are required for a high QoS and high data rate system. …”
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Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology by C. Jayasri, V. Balaji, C. M. Nalayini, S. Pradeep

“…The methodology employs the UNSW-NB15 dataset, with data preprocessed using Maximum-Minimum Normalization. Feature extraction is performed using the Discrete Fourier Transform (DFT), capturing frequency-domain patterns indicative of anomalies. …”
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Digital Simulations in STEM Education: Insights from Recent Empirical Studies, a Systematic Review by Chrysovalantis Kefalis, Constantine Skordoulis, Athanasios Drigas

“…While inquiry-based learning emerges as the most frequently implemented instructional strategy, hybrid and simulation-based approaches also feature prominently. Despite the evident benefits of digital simulations in enhancing conceptual understanding, engagement, and problem-solving skills, research gaps remain, particularly regarding their application in primary and special education contexts. …”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…Therefore, it is necessary to find an efficient method for solving the problem by using classification with an intrusion detection system which analyzes enormous amounts of traffic data. …”
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RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images by Yuchai Wan, Lili Zhang, Murong Wang

“…Then, the second level extracts the inner-slice global and local features for enhancing feature representation. We propose the Res-Inception-SE Block, which combines residual connections, multi-scale Inception modules, and squeeze-excitation attention to capture comprehensive global and local features. …”
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Prediction on the Remaining Useful Life of Rolling Bearings Using Ensemble DLSTM by Miao Jiang, Yang Xiang

“…An ensemble deep, long-term, and short-term memory (EDLSTM) method is proposed to solve this problem. First, the feature of the forecast-bearing RUL was extracted including time-domain features, frequency-domain energy features, and Shannon entropy. …”
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The Dynamical Evolution Parameter in Manifestly Covariant Quantum Gravity Theory by Claudio Cremaschini

“…A remarkable feature of manifestly covariant quantum gravity theory (CQG-theory) is represented by its unconstrained Hamiltonian structure expressed in evolution form. …”
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ADSTrack: adaptive dynamic sampling for visual tracking by Zhenhai Wang, Lutao Yuan, Ying Ren, Sen Zhang, Hongyu Tian

“…Therefore, we propose to solve this problem using an adaptive dynamic sampling strategy in a pure Transformer-based tracker, known as ADSTrack. …”
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Safer Nights Out: The Role of Mobile Apps in Preventing Sexual Violence by Tinkara Bulovec, Katja Eman

“…Although many apps address some aspects of the problem, we noticed a lack of a comprehensive approach that would target all relevant stakeholders. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Despite attempts to enrich node and edge feature representations by integrating LLM with their strong textual understanding capabilities, these approaches have still not effectively sloved the problem of uncovering the underlying drivers of edge information. …”
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Significance of the Nested Structure in Multiplex World Trade Networks by Zhuo-Ming Ren, Xiao Pan, Yi-Cheng Zhang

“…Following the empirical analysis train of thought, we argue that nestedness is still a unique feature of the network.…”
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BFS: A blockchain-based financing scheme for logistics company in supply chain finance by Jia Fu, Bangcan Cao, Xiaoliang Wang, Pengjie Zeng, Wei Liang, Yuzhen Liu

“…At the same time, the transparency feature of blockchain is used to solve the financing dilemma of many industries in supply chain finance. …”
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