Unveiling the Triad’s Struggles and Triumphs in MDL: Valuable Insights for Post-Pandemic Resiliency and Recovery Roadmap by Julius R. Garzon

“…Likewise, parents’ experiences extracted five themes namely disruption of work, difficulty in understanding the module, managing children’s discipline, learning environment, and managing time. …”
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Hyperspectral Image Few-Shot Classification Based on Spatial–Spectral Information Complementation and Multilatent Domain Generalization by Qianhao Yu, Yong Wang

“…First, multiple spatial–spectral information complementation modules (SSICs) are stacked to extract the complementary features with different scales. …”
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Development of a web tool to increase research literacy in underserved populations through public library partnerships. by Melissa A Simon, Catherine A O'Brian, Laura Tom, Q Eileen Wafford, Shenita Mack, Samuel R Mendez, Magdalena Nava, Rabih Dahdouh, Rachelle Paul-Brutus, Kathryn H Carpenter, Barbara Kern, Kristi L Holmes

“…The website was thus constructed, and navigation issues identified in two rounds of usability testing by library patrons were addressed through further website modification, followed by the launch of a beta version of a hybridized single-scrolling and guided module prototype to allow further development with website analytics.…”
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Optimization of deep learning architecture based on multi-path convolutional neural network algorithm by Chuan Zhou, Yan Liu, Xinghan An, Xiyao Xu, Hao Wang

“…Therefore, this study proposes an optimized model based on a dynamic path cooperation mechanism and lightweight design, innovatively introducing a path attention mechanism and feature-sharing module to enhance information interaction between paths. …”
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Development of Experimental Setup to Investigate the Control System for Infusion Solutions Dosing Process by Fedir Matiko, Volodymyr Shaleva

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Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

“…To address the issues of low efficiency and high omission rates in monitoring workers’ compliance with safety dress codes in intelligent factories, this paper proposes the SFA-YOLO network, an enhanced real-time detection model based on a Selective Feature Attention mechanism. …”
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Influence of inhalation anesthesia in caesarean section on parturients’ cognitive functions by Volkov O.O.

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DT-YOLO: An Improved Object Detection Algorithm for Key Components of Aircraft and Staff in Airport Scenes Based on YOLOv5 by Zhige He, Yuanqing He, Yang Lv

“…Based on YOLOv5, we propose an improved object detection algorithm, called DT-YOLO, to address these issues. We first built a dataset called AAD-dataset for airport apron scenes by randomly sampling and capturing surveillance videos taken from the real world to support our research. …”
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Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model by Mohammed Aly, Islam S. Fathi

“…These CNN features are then refined by a Vision Transformer module, which captures long-range dependencies and global contextual information within the gesture. …”
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Zero-Shot Detection of Visual Food Safety Hazards via Knowledge-Enhanced Feature Synthesis by Lanting Guo, Xiaoyu Hu, Wenhe Liu, Yang Liu

“…Current approaches typically require extensive labeled training data for each specific hazard type, limiting generalizability to novel or rare safety issues. We propose a zero-shot detection framework for visual food safety hazards that enables the identification of previously unseen contamination types without requiring explicit training examples. …”
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Blockchain technology in smart contracts for refueling civil aviation aircraft by V. V. Gordeev, O. V. Gromov, V. K. Gromov, G. I. Litinsky, V. M. Samoylenko

“…Special attention is paid to the role and location of aircraft refueling facilities as a key element of the module for automatic reconciliation of accounting and payment documents in the formation of a smart contract. …”
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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…Automatic reading of rotameters in low flow and challenging environments poses substantial accuracy and efficiency challenges. To address these issues, this study introduces YOLORM, an advanced key point detection method for rotameters, built upon the YOLOv8n model. …”
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GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments by Hongwei Wang, Ziming Kou, Yandong Wang

“…Conveyor belt deviation is one of the most common failures in belt conveyors. To address issues such as the high computational complexity, large number of parameters, long inference time, and difficulty in feature extraction of existing conveyor belt deviation detection models, we propose a GES-YOLO algorithm for detecting deviation in mining belt conveyors, based on an improved YOLOv8s model. …”
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Improving drug–target affinity prediction by adaptive self-supervised learning by Qing Ye, Yaxin Sun

“…ASSLDTA integrates a novel adaptive self-supervised learning (ASSL) module with a high-level feature learning network to extract the feature. …”
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Voltage Level Managements of Multilevel Inverter Based on Renewable Energy Sources and Environment Conditions by Ahmed Hamad, Ersagun Kürşat Yaylacı, Assist. Prof. Dr. Rakan Khalil Antar

“…However, as the number of levels increases, so does the numbers of the switching devices and energy sources. This issue can be solved by creating the MLI using hybrid technology. …”
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Study of Three-phase PWM Reversible Rectifier Based on Current Decoupling Deadbeat Control by 李浩光, 张加胜

“…In order to solve this issue, a deadbeat control method is carried out after decoupling the grid-side current, and then modulation is made with SVPWM method. …”
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Associative Memory Storage and Retrieval: Involvement of Theta Oscillations in Hippocampal Information Processing by Federico Stella, Alessandro Treves

“…Here, we summarily review different approaches related to this issue and we describe a mechanism, based on experimental and simulation results, for memory retrieval in CA3 involving theta modulation.…”
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DBTU-Net: A Dual Branch Network Fusing Transformer and U-Net for Skin Lesion Segmentation by Wanqing Peng, Jiaojiao Li, Dandan Lai, Qiaomin Lin, Ying Han, Guangrong Huang

“…To address the aforementioned issues, we propose a dual branch network fusing Transformer and U-Net (DBTU-Net). …”
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DSiam-CnK: A CBAM- and KCF-Enabled Deep Siamese Region Proposal Network for Human Tracking in Dynamic and Occluded Scenes by Xiangpeng Liu, Jianjiao Han, Yulin Peng, Qiao Liang, Kang An, Fengqin He, Yuhua Cheng

“…To tackle these issues, this study enhances the SiamRPN algorithm by integrating the convolutional block attention module (CBAM), which enhances spatial channel attention. …”
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Electronic Health Record Systems in Limited Resource Settings: A Comprehensive Evaluation of the Impilo Platform by Hamufare Dumisani Mugauri, Memory Chimsimbe

“…However, problems such as module issues, knowledge gaps, internet connectivity, interoperability, human resource shortages and power constraints hinder its full potential. …”
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