Integrating Plastic Waste Pyrolysis Technology into STEM Education to Improve Students' Environmental Knowledge and Attitude by Euis Nursaadah, Raidatul Fannyda, Annida Nurul Shabrina, Aceng Ruyani

“…The control group received STEM instruction using a module and video on plastic pyrolysis, while the experimental group engaged in a more immersive approach involving the same materials supplemented with hands-on pyrolysis activities. …”
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An AI based cross‐language aspect‐level sentiment analysis model using English corpus by Jing Chen, Li Pan

“…Existing methods face challenges in extracting semantic association information and deep emotional features when dealing with this complex data. To address these issues, an aspect‐level sentiment analysis model (called Multi‐XLNet‐RCNN) is proposed that integrates multi‐channel XLNet and RCNN. …”
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Deep Metric Learning for Fine-Grained Ship Classification in SAR Images with Sidelobe Interference by Haibin Zhu, Yaxin Mu, Wupeng Xie, Kang Xing, Bin Tan, Yashi Zhou, Zhongde Yu, Zhiying Cui, Chuang Zhang, Xin Liu, Zhenghuan Xia

“…To address the aforementioned issues, a novel classification framework for sidelobe-affected SAR imagery is proposed. …”
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SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection by Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed

“…Additionally, we developed a post-processing module to categorize areas into flooded and non-flooded. …”
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Crack Identification and Flaw Detection Eva-luation of Bolster Hanger Based on Machine Vision by YANG Fan, ZHAO Mengjiao, CHEN Ying, JIANG Xue

“…The model effectively addresses background false positives and low detection accuracy issues, meeting the requirements in actual inspection.…”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. This module normalizes input data and uses a stacked multilayer perceptron to extract cross-temporal and cross-dimensional dependencies. …”
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Latent spectral-spatial diffusion model for single hyperspectral super-resolution by Yingsong Cheng, Yong Ma, Fan Fan, Jiayi Ma, Yuan Yao, Xiaoguang Mei

“…Additionally, the incorporation of the 3DConvNext module, complemented by meticulously designed loss constraints, empowers the extraction of rich spectral-spatial features that are inherent in hyperspectral data. …”
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Hybrid AI-Powered Real-Time Distributed Denial of Service Detection and Traffic Monitoring for Software-Defined-Based Vehicular Ad Hoc Networks: A New Paradigm for Securing Intelli... by Onur Polat, Saadin Oyucu, Muammer Türkoğlu, Hüseyin Polat, Ahmet Aksoz, Fahri Yardımcı

“…However, with the rise of smart and electric vehicles, traditional VANETs struggle with issues like scalability, management, energy efficiency, and dynamic pricing. …”
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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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DESAT: A Distance-Enhanced Strip Attention Transformer for Remote Sensing Image Super-Resolution by Yujie Mao, Guojin He, Guizhou Wang, Ranyu Yin, Yan Peng, Bin Guan

“…However, when applied to large-scale Earth observation images, the existing transformers encounter two significant challenges: (1) insufficient consideration of spatial correlation between adjacent ground objects; and (2) performance bottlenecks due to the underutilization of the upsample module. To address these issues, we propose a novel distance-enhanced strip attention transformer (DESAT). …”
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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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Dual-Domain Adaptive Synergy GAN for Enhancing Low-Light Underwater Images by Dechuan Kong, Jinglong Mao, Yandi Zhang, Xiaohu Zhao, Yanyan Wang, Shungang Wang

“…An Adaptive Parameterized Convolution (AP-Conv) module is introduced to handle non-uniform scattering by dynamically adjusting convolution kernels through a multi-branch design. …”
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An Experimental Performance Evaluation and Compatibility Study of the Bluetooth Low Energy Based Platform for ECG Monitoring in WBANs by Farid Touati, Ochirkhand Erdene-Ochir, Waiser Mehmood, Ammad Hassan, Adel Ben Mnaouer, Brahim Gaabab, Mohd Fadlee A. Rasid, Lazhar Khriji

“…In our system, a BLE112 module from Bluegiga and a BLE USB dongle are used for WBAN. …”
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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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’We weren't checked in on, nobody spoke to us’: an exploratory qualitative analysis of two focus groups on the concerns of ethnic minority NHS staff during COVID-19 by Richard A Powell, Jehanita Jesuthasan, Victoria Burmester

“…Objective To gain exploratory insights into the multifaceted, lived experience impact of COVID-19 on a small sample of ethnic minority healthcare staff to cocreate a module of questions for follow-up online surveys on the well-being of healthcare staff during the pandemic.Design A cross-sectional design using two online focus groups among ethnic minority healthcare workers who worked in care or supportive roles in a hospital, community health or primary care setting for at least 12 months.Participants Thirteen healthcare workers (11 female) aged 26–62 years from diverse ethnic minority backgrounds, 11 working in clinical roles.Results Five primary thematic domains emerged: (1) viral vulnerability, centring around perceived individual risk and vulnerability perceptions; (2) risk assessment, comprising pressures to comply, perception of a tick-box exercise and issues with risk and resource stratification; (3) interpersonal relations in the workplace, highlighting deficient consultation of ethnic minority staff, cultural insensitivity, need for support and collegiate judgement; (4) lived experience of racial inequality, consisting of job insecurity and the exacerbation of systemic racism and its emotional burden; (5) community attitudes, including public prejudice and judgement, and patient appreciation.Conclusions Our novel study has shown ethnic minority National Health Service (NHS) staff have experienced COVID-19 in a complex, multidimensional manner. …”
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SRNeRF: Super-Resolution Neural Radiance Fields for Autonomous Driving Scenario Reconstruction from Sparse Views by Jun Wang, Xiaojun Zhu, Ziyu Chen, Peng Li, Chunmao Jiang, Hui Zhang, Chennian Yu, Biao Yu

“…To address the above issues, we propose a novel approach called SRNeRF, which can eliminate pose-based operations and perform scenario reconstruction from sparse views. …”
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Research on the Lossless Data Compression System of the Argo Buoy Based on BiLSTM-MHSA-MLP by Sumin Guo, Wenqi Zhang, Yuhong Zheng, Hongyu Li, Yilin Yang, Jiayi Xu

“…This study addresses the issues of the limited data storage capacity of Argo buoys and satellite communication charges on the basis of data volume by proposing a block lossless data compression method that combines bidirectional long short-term memory networks and multi-head self-attention with a multilayer perceptron (BiLSTM-MHSA-MLP). …”
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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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Multi-Feature Lightweight DeeplabV3+ Network for Polarimetric SAR Image Classification with Attention Mechanism by Junfei Shi, Shanshan Ji, Haiyan Jin, Yuanlin Zhang, Maoguo Gong, Weisi Lin

“…Finally, an attention mechanism-based feature selection module is integrated into the network model, adaptively learning weights for multi-scale features. …”
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