Ethical boundaries and cybercultural dynamics in virtual drama education: Navigating student-educator interactions and role confusion by Azadeh Mehrpouyan

“…The present study critically assesses the ethical challenges and opportunities within digital learning environments, emphasizing AI's role in enhancing student engagement and ethical reasoning. Key issues examined include the necessity for critical thinking, respectful dialogue, and reliance on credible sources.The study proposes a CyberCulture framework to address ethical dilemmas and promote cultural awareness and adaptability within digital learning networks. …”
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Industrial Control Systems (ICS) cyber prediction model by Joana Katina, Tomas Plėta, Romualdas Petkevičius, Lina Lelešienė

“…Acceleration of scientific and technical progress, speeding up of technological changes, IT process globalisation and integration of OT processes invoked new challenges in preparing cyber strategies. Issues with adapting strategy for a particular specificity, region and specific cyber-attacks are not applicable. …”
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Advancing construction safety: YOLOv8-CGS helmet detection model. by Zhihui Wu, Xiaojia Lei, Munish Kumar

“…However, traditional object detection methods often face numerous challenges in complex construction environments, such as low light, occlusion, and the diverse shapes of helmets. To address these issues, we propose an improved helmet detection model, YOLOv8-CGS, which is based on the YOLOv8 architecture and integrates optimization modules such as CBAM (Convolutional Block Attention Module), GAM (Global Attention Mechanism), and SLOU (Smooth Labeling Loss Function). …”
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Maize quality detection based on MConv-SwinT high-precision model. by Ning Zhang, Yuanqi Chen, Enxu Zhang, Ziyang Liu, Jie Yue

“…The traditional method of corn quality detection relies heavily on the subjective judgment of inspectors and suffers from a high error rate. To address these issues, this study employs the Swin Transformer as an enhanced base model, integrating machine vision and deep learning techniques for corn quality assessment. …”
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United States multi-sector land use and land cover base maps to support human and Earth system models by Jay Oliver, Ryan A. McManamay

“…One such MSD model is the Global Change Analysis Model (GCAM), which has its own independent land module, but often relies on CLM or LUH2 as spatial inputs for its base years. …”
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Adaptive enhancement of shoulder x-ray images using tissue attenuation and type-II fuzzy sets. by Qifeng Liu, Yong Han, Lu Shen, Jialei Du, Marzia Hoque Tania

“…In comparative studies, the method demonstrated significant performance advantages over 10 contemporary X-ray image enhancement algorithms and was validated through ablation experiments to confirm the effectiveness of each module.…”
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A Representation-Learning-Based Graph and Generative Network for Hyperspectral Small Target Detection by Yunsong Li, Jiaping Zhong, Weiying Xie, Paolo Gamba

“…Firstly, a Graph Convolutional Network (GCN) module better models the non-local topological relationship between samples to represent the hyperspectral scene’s underlying data structure. …”
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User Experiences Among Patients and Health Care Professionals Who Participated in a Randomized Controlled Trial of E-nergEYEze, a Vision-Specific eHealth Intervention to Reduce Fat... by Manon HJ Veldman, Hilde PA van der Aa, Hans Knoop, Christina Bode, Ger HMB van Rens, Ruth MA van Nispen

“…ResultsE-nergEYEze was completed by 63% (32/51) of patients for more than 80% of the module steps. Overall, results on user engagement showed that a median 89% (IQR 45%-100%) of all assigned module steps were completed, with all modules being completed by at least 50% (37/51) of the patients. …”
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LPItabformer: Enhancing generalization in predicting lncRNA-protein interactions via a tabular Transformer by Qin Lin, Jie Sheng, Chang Zhou, Tao Xiao, Yilei Meng, Mingxin Lu, Junfang Zhang, Xueyun Yan, Luying Peng, Huaming Cao, Li Li

“…In this study, data splitting by incorporating protein clusters as group information reveals that lots of LPI prediction methods suffer from generalization flaws due to data leakage caused by ignoring LPI biological properties. To address the issue, we present LPItabformer, a tabular Transformer framework for predicting LPIs, that incorporates a domain shifts with uncertainty (DSU) module for generalization enhancement. …”
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Development of Enzyme-Mediated Duplex Exponential Amplification Assay for Detection and Identification of <i>Meloidogyne enterolobii</i> in Field by Bingxue Sun, Bo Gao, Rongyan Wang, Shulong Chen, Xiuhua Li, Yonghao Dong, Juan Ma

“…We thus developed a method for detecting <i>M. enterolobii</i> based on enzyme-mediated duplex exponential amplification (EmDEA) technologies to address this issue. The EmDEA detection method demonstrated strict specificity for the target species, showing no amplification in 13 non-target nematodes or host tissue samples. …”
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Design and Implementation of a Modular Bidirectional Switch Using SiC-MOSFET for Power Converter Applications by Edgar Maqueda, Jorge Rodas, Sergio Toledo, Raúl Gregor, David Caballero, Federico Gavilan, Marco Rivera

“…This paper presents a novel modular design of a Bi-Sw with the purpose of providing to beginner researchers the key issues to design a power converter. The Bi-Sw has been designed in modular form using the SiC-MOSFET device. …”
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MCRNet: Underwater image enhancement using multi-color space residual network by Ningwei Qin, Junjun Wu, Xilin Liu, Zeqin Lin, Zhifeng Wang

“…The selective attenuation and scattering of light in underwater environments cause color distortion and contrast reduction in underwater images, which can impede the ever-growing demand for underwater robot operations. To address these issues, we propose a Multi-Color space Residual Network (MCRNet) for underwater image enhancement. …”
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A Chest Strap-Based System for Electrocardiogram Monitoring by Xiaoman Zhang, Yaoliang Zhan, Xue Wang, Jin Yang

“…To address the issues of poor comfort and limited mobility associated with traditional ECG monitoring systems, this study developed a chest strap ECG monitoring system (CEMS) utilizing silver-coated polyamide yarn. …”
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YOLO11m-SCFPose: An Improved Detection Framework for Keypoint Extraction in Cucumber Fruit Phenotyping by Huijiao Yu, Xuehui Zhang, Jun Yan, Xianyong Meng

“…Additionally, an improved C3K2_PartialConv neck module is used to enhance information interaction and fusion among multi-scale features while maintaining computational efficiency. …”
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Preconditions for Returning Highly-Profitable Shot Lots to Railway Transport by D. A. Bakunin, K. I. Shvedin, S. O. Litvintsev

“…Issues of tariffing goods transportation in new intermodal transport units were analyzed and the use of through tariff rate was grounded.…”
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Sediment Transport Model for a Surface Irrigation System by Damodhara R. Mailapalli, Narendra S. Raghuwanshi, Rajendra Singh

“…Controlling irrigation-induced soil erosion is one of the important issues of irrigation management and surface water impairment. …”
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Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations by Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz

“…Additionally, deep learning models often struggle to generalize from simulated to in vivo data due to significant disparities between the two domains. To address these issues, we propose a novel approach using the DEformable DEtection TRansformer (DE-DETR). …”
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Robust DOA Estimation via a Deep Learning Framework with Joint Spatial–Temporal Information Fusion by Yonghong Zhao, Xiumei Fan, Jisong Liu

“…The CRDCNN employs multi-level cross-residual connections and depthwise separable convolutions to enhance feature diversity while mitigating issues such as gradient vanishing and overfitting. …”
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Dynamic margin contrastive learning for open-set recognition in long-tailed sonar imagery by Yu Lin, Shuiyuan He, Weidong Luo

“…This study introduces Dynamic Margin Contrastive Learning (DMCL), a novel framework that simultaneously addresses both issues through adaptive margin adjustment and uncertainty-aware feature learning. …”
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Frequency-bin-encoded entanglement-based quantum key distribution in a reconfigurable frequency-multiplexed network by Anahita Khodadad Kashi, Michael Kues

“…Specifically, we demonstrate a novel scalable frequency-bin basis analyzer module that allows for a passive random basis selection as a crucial step in quantum protocols, and importantly equips each user with a single detector rather than four detectors. …”
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