The Association between Moral Intelligence and Communication Skills with Internet Addiction: The Mediating Role of Psychological Distress in Secondary School Students of Tabriz, Ir... by Yousef Kheirey, Ali Reza Shafiee-Kandjani, Fatemeh Eskandarpour, Saber Pourhassan, Behzad Shalchi

“…SPSS 26 and LISREL 8.80 statistical software were used to classify, process and analyze data and test research hypotheses. …”
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Research Progress on Th17/Treg Cell Imbalance in Epileptic Seizures by Mu L, Rong Y, Xin YJ, Zhang H, Xu Z

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Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

“…With the rapid development of smart devices and the Internet of Things (IoT), the explosive growth of data has placed increasingly higher demands on real-time processing and intelligent decision making. Cloud-edge collaborative computing has emerged as a mainstream architecture to address these challenges. …”
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YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…However, deploying deep learning models on edge devices presents significant challenges due to limited computational resources and strict latency constraints. To address these issues, we propose YOLOLS, a lightweight and efficient detection model derived from YOLOv8n and optimized for real-time edge deployment. …”
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Polarimetric SAR Ship Detection Using Context Aggregation Network Enhanced by Local and Edge Component Characteristics by Canbin Hu, Hongyun Chen, Xiaokun Sun, Fei Ma

“…Polarimetric decomposition methods are widely used in polarimetric Synthetic Aperture Radar (SAR) data processing for extracting scattering characteristics of targets. …”
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Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy by Chenlong Fan, Ying Liu, Tao Cui, Mengmeng Qiao, Yang Yu, Weijun Xie, Yuping Huang

“…Near-infrared spectroscopy (NIR) technology faces limitations due to surface effects and sample homogeneity issues when measuring the protein content of whole maize grains. …”
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Impact of Petty Tyranny on Employee Turnover Intentions: The Mediating Roles of Toxic Workplace Environment and Emotional Exhaustion in Academia by Javed Iqbal, Zarqa Farooq Hashmi, Muhammad Zaheer Asghar, Attiq Ur Rehman, Hanna Järvenoja

“…Our study offers valuable practical implications, emphasizing addressing these issues to reduce turnover in academic organizations. …”
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Evaluation of Rural Urban Waste Management : Integrating Logic Model and GIS Approach in Pemalang, Central Java, Indonesia by Mansur Hidayat, Maryono Maryono, Widjonarko Widjonarko, Muhammad Dzaky Taqyuddin, Padmagitaning Saraswati

“…Logic models evaluate input process output and program outcomes, while GIS evaluates geospatial program achievements. …”
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Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification by Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras

“…Despite these benefits, issues such as data sparsity and the misrepresentation of classes can diminish these gains, occasionally leading to misleading TL accuracy scores. …”
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A smart IoT-based hydroponics system for small-scale household in Bangladesh by Md. Abdul Awal, Aditi Saha Pio, Mushfaka Jannat Mim, Pronab Kumar Paul Partha, Md. Abdullah Al Kafi, Shareen Farha

“…Hence, this developed technology offered a feasible solution for hydroponics management issues and could be adopted extensively to improve agricultural productivity.…”
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Classification of Skin Lesion With Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder From Wavelet-Transformed Images by Farhatullah, Xin Chen, Deze Zeng, Jiafeng Xu, Rab Nawaz, Rahmat Ullah

“…Leveraging the power of Deep Learning, the proposed model incorporates several pre-processing techniques such as wavelet transformations, pooling methods, and normalization to enhance image clarity and remove extraneous artifacts. …”
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DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation by Ye Liu, Shitao Song, Miaohui Wang, Hao Gao, Jun Liu

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Radiometric landscape: a new conceptual framework and operational approach for landscape characterisation and mapping by Louise Lemettais, Samuel Alleaume, Sandra Luque, Anne-Élisabeth Laques, Yonas Alim, Laurent Demagistri, Agnès Bégué

“…Landscape mapping has the potential to address some of the most pressing research issues of our time, including climate change, sustainable development, and human well-being. …”
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Advanced montane bird monitoring using self-supervised learning and transformer on passive acoustic data by Yu-Cheng Wei, Wei-Lun Chen, Mao-Ning Tuanmu, Sheng-Shan Lu, Ming-Tang Shiao

“…While self-supervised learning has recently excelled in natural language processing and image recognition, its application to bird sound recognition remains limited. …”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials by Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, Rick van Essen, João Valente

“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
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Application of modern agronomic and biotechnological strategies to valorise worldwide globe artichoke (Cynara cardunculus L.) potential - an analytical overview by Aneta Grabowska, Gianluca Caruso, Ali Mehrafarin, Andrzej Kalisz, Robert Gruszecki, Edward Kunicki, Agnieszka Sękara

“…Precise selection of modern management practices was recognised as a main goal to fulfil the requirements of local and global market for fresh, processed and new potential globe artichoke products.…”
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A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions by Usman Khalil, Mueen-Uddin, Owais Ahmed Malik, Saddam Hussain

“…We discuss the security issues regarding the authentication of these IoT-enabled smart devices. …”
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Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

“…To address these challenges, this paper proposes a tripartite neural network (TriNet) for multimodal data processing, including Remote Sensing (RS) images, Point of Interest (POI) data, and Origin–Destination (OD) data, fully utilizing the complementarity of different data types. …”
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High‐Speed Slot‐Die Coating with Donor‐Priority Rapid Aggregation Kinetics for Improved Morphology and Efficiency in Ecofriendly Organic Solar Cells by Zhaozhao Bi, Baohua Wu, Ke Wang, Jingwei Xue, Chang Liu, Lingxiao Tang, Ke Zhou, Long Jiang, Wei Ma

“…Key reason lies in the lack of efficient control strategies for the complex and long‐duration morphology evolution during high‐speed coating process with ecofriendly solvents. Here, a donor‐priority rapid aggregation process (DP‐RAP) scheme is proposed to solve this issue by adjusting the aggregation kinetics of donor and acceptor components. …”
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Developing stakeholder participation to address lack of safe water as a community health concern in a rural province in South Africa by Jennifer Hove, Lucia D’Ambruoso, Rhian Twine, Denny Mabetha, Maria van der Merwe, Ishmael Mtungwa, Sonto Khoza, Kathleen Kahn, Sophie Witter

“…Consensus on the problem, mapping existing planning and policy landscapes, and initiating constructive dialogue was facilitated through group discussions in a collective learning process. Results Community stakeholders nominated lack of safe water as a local priority public health issue and generated evidence on causes and contributors, and health and social impacts. …”
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