A Qualitative Analysis of the Impact of Perceived Corporate Social Responsibility on Employees’ Affective Commitment by Raihène Raho, Houari Benchikh

“…Despite the growing interest in corporate social responsibility (CSR) issues, research on micro-CSR remains an emerging field, offering new insights. …”
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Toward Energy Efficiency and Fairness in UAV-Based Task Offloading by Mohamed El-Emary, Ali Ranjha, Diala Naboulsi, Razvan Stanica

“…The rising demand for compute-intensive mobile applications challenges the limited energy and processing power of user equipment (UE). While Mobile Edge Computing (MEC) enables task offloading to nearby servers, deploying fixed MEC infrastructure is often impractical in settings like disaster zones or temporary high-density events. …”
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Research on the Method of Air Traffic Control Instruction Keyword Extraction Based on the Roberta-Attention-BiLSTM-CRF Model by Sheng Chen, Weijun Pan, Yidi Wang, Shenhao Chen, Xuan Wang

“…However, this task is challenging due to the specialized terminology involved and the high real-time requirements for data collection and processing. While existing keyword extraction methods have made some progress, most of them still perform unsatisfactorily on ATC instruction data due to issues such as data irregularities and the lack of domain-specific knowledge. …”
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Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model by Wenda Zheng, Yibo Ai, Weidong Zhang

“…With the advancement of computer vision and image processing technologies, scene recognition has gradually become a research hotspot. …”
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An Iterative Adaptive Polarization Calibration Method Independent of Corner Reflectors by Bowen Chi, Jixian Zhang, Guoman Huang, Lijun Lu, Shucheng Yang

“…Polarimetric calibration (PolCal) is essential for the quantitative processing of polarimetric synthetic aperture radar data. …”
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Enhancing smart city sustainability with explainable federated learning for vehicular energy control by Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad

“…Traditional centralized machine learning models and cloud-based Energy Management Systems (EMSs) struggle with real-time adaptability, high-dimensional data processing, and data privacy risks. These issues lead to high costs, excessive energy waste, and regulatory concerns. …”
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Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

“…The DMF module adopts a multi-branch parallel structure with differentiated processing to dynamically fuse multi-scale spatial–spectral features and incorporates a cross-scale feature compensation strategy to improve feature representation and mitigate information loss. …”
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Citizen science in eDNA monitoring for Mediterranean monk seal conservation by Sofia Bonicalza, Elena Valsecchi, Emanuele Coppola, Valeria Catapano, Harriet Thatcher

“…Results Results suggest the WET performs comparably to traditional methods, with minor technical issues. Despite some faults such as not folding or forgetting to change the filter, volunteers were generally reliable in sample processing. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Abstract Weld defect detection poses significant challenges including ambiguous boundaries, diverse defect shapes, and the requirement for precise localization. To address these issues, we propose DSF-YOLO, a novel framework specifically designed for pipeline weld defect detection. …”
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Effect of Post-Aging on Laser-Boronized Surface of 18Ni-300 Maraging Steel with Hypoeutectic Structure by Jelena Škamat, Olegas Černašėjus, Kęstutis Bučelis, Oleksandr Kapustynskyi

“…Two main issues are addressed, namely (i) the possibility to restore the hardness of the heat-affected zone (HAZ) formed during laser processing and (ii) the effect of re-aging on the hardness and wear resistance of the laser-boronized layer with a hypoeutectic structure. …”
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Improving Nutrition Facts of Cassava and Soybean Residue Through Solid-State Fermentation by <i>Pleurotus ostreatus</i> Mycelium: A Pathway to Safety Animal Feed Production by Nguyen Thi Bich Hang, Chi Cuong Doan

“…The prebiotic activity of extracted PS was greatest in <i>P. acidilactici</i> NBD8 (1.58); for <i>L. pentosus</i> NH1, <i>L. argentoraten</i> NH15, and <i>L. plantarum</i> WCFS1 strains, the indices were 0.11, 0.17, and 0.3, respectively. The SSF process with <i>P. ostreatus</i> mycelium has the potential to be an effective method for improving the nutrition and digestibility of soybean and cassava residues for application in the production of nature-derived animal feed, as well as contributing to fully utilized agricultural residue, agriculture’s circular economy, reducing environmental issues, and achieving the net-zero carbon emissions target by 2050, as the Vietnam government committed to achieving during the COP26 World Leaders’ Summit in 2021.…”
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PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection by Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun

“…To address these issues, we propose a novel model called Partial and Aggregate Autoencoder (PA2E), which incorporates local information without transform invariance and utilizes masked fully connected layers to achieve high inference speed. …”
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SOME DIRECTIONS OF IMPROVING THE SYSTEM OF BODIESFOR PREVENTION OF FAMILY VIOLENCE AGAINST THE UNDER-AGED (BY THE EVIDENCE OF SOUTH-SIBERIAN REGION) by Y. V. Zyryanova

“…All this allows to speak of the scientific novelty of the issue.Practical significance: the conclusions stated in the article can be used in scientific, law enforcement and educational processes.…”
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Wine tourism experience vis-à-vis wine tourism development: A netnographic analysis of namibian wineries by Elsie Vezemburuka Hindjou, Saurabh Kumar DIXIT

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AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…Smart fisheries, integrating advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and image processing, are pivotal in enhancing aquaculture efficiency, sustainability, and resource management by enabling real-time environmental monitoring, precision feeding, and disease prevention. …”
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Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review by Vishal Gaurav, Chander Grover, Mehul Tyagi, Suman Saurabh

“…In healthcare, AI encompasses various subfields, including machine learning, deep learning, natural language processing, and expert systems. In the specific domain of onychology, AI presents a promising avenue for diagnosing nail disorders, analyzing intricate patterns, and improving diagnostic accuracy. …”
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On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds by Wanbo Zheng, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo, Qingsheng Zhu

“…The proposed analytical approach is based on a time-series and stochastic-process-based model. It is capable of predicting the expected system responsiveness and request rejection rate under variable load intensities, fault frequencies, multiplexing abilities, and instantiation processing times. …”
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An Inverted Transformer Framework for Aviation Trajectory Prediction with Multi-Flight Mode Fusion by Gaoyong Lu, Yang Ou, Wei Li, Xinyu Zeng, Ziyang Zhang, Dongcheng Huang, Igor Kotenko

“…This framework leverages multi-flight inputs and inverted data processing to enrich feature representation and optimize the modeling of multi-variate time series. …”
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Computer-Vision-Aided Deflection Influences Line Identification of Concrete Bridge Enhanced by Edge Detection and Time-Domain Forward Inference by Jianfeng Chen, Long Zhao, Yuliang Feng, Zhiwei Chen

“…Furthermore, an axle weight ratio reduction coefficient is proposed to mitigate noise amplification issues, ensuring that the weight of the preceding axle surpasses that of any other axle. …”
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Working conditions and values of average annual effective doses for nondestructive testing operators in the Russian Federation and abroad by S. Yu. Bazhin, E. N. Shleenkova, V. Yu. Bogatyreva

“…The difference in the name of the specialty of the studied group of personnel in Russian and English and the difference in the processing of primary measuring information in domestic and foreign sources of information are taken into account. …”
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