MDFT-GAN: A Multi-Domain Feature Transformer GAN for Bearing Fault Diagnosis Under Limited and Imbalanced Data Conditions by Chenxi Guo, Vyacheslav V. Potekhin, Peng Li, Elena A. Kovalchuk, Jing Lian

“…Beyond performance metrics, this work also incorporates a Grad-CAM-based interpretability scheme to visualize hierarchical feature activation patterns within the discriminator, providing transparent insight into the model’s decision-making rationale across different fault types. Extensive experiments on the CWRU and Jiangnan University (JNU) bearing datasets validate that the proposed method achieves superior diagnostic accuracy, robustness under limited and imbalanced conditions, and enhanced interpretability compared to existing state-of-the-art approaches.…”
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Practical Rules to Adjust the Numerical Overcurrent Functions of Protective Relays to Avoid Maloperation due to Inrush Currents of Downstream Distribution Transformers by Elmer Sorrentino

“…Experimental methods, specifically developed to perform tests of NOCF with TMIC, were applied to four commercial relays from different manufacturers. …”
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Comparative Application of Time-Frequency Methods on Strong Motion Signals by Mohammad Ashtari Jafari

“…In this paper, we applied short-time Fourier transform, S-transform, continuous wavelet transform, fast discrete wavelet transform, synchrosqueezing transform, synchroextracting transform, continuous wavelet synchrosqueezing, filter bank synchrosqueezing, empirical mode decomposition, and Fourier decomposition methods on the near-source strong motion signals from the 7 May 2020 Mosha-Iran earthquake to study and compare the frequency content of this event estimated by these methods. …”
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Nurturing constructive change that works: a critical theory-informed model for transforming health service psychologists’ views of people with disabilities by Roy O. Gathercoal, Kathleen A. Gathercoal, Winston Seegobin, Sarah Hadley

“…., that disabilities transform individuals into a different kind of human being (with either superhuman powers or as object of pity) instead of seeing these individuals as ordinary people facing extraordinary, and often society-created obstacles. …”
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The modern labour market in Poland and the generation. The differences between generations X, Y and Z. by Karolina Martyna Czyczerska, Anna Jadwiga Ławnik, Elżbieta Szlenk-Czyczerska

“…Abstract The contemporary labour market in Poland is undergoing constant transformations, which result from demographic changes, mainly related to the process of population ageing. …”
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AΚtransU-Net: Transformer-Equipped U-Net Model for Improved Actinic Keratosis Detection in Clinical Photography by Panagiotis Derekas, Charalampos Theodoridis, Aristidis Likas, Ioannis Bassukas, Georgios Gaitanis, Athanasia Zampeta, Despina Exadaktylou, Panagiota Spyridonos

“…From each photograph, crops of 512 × 512 pixels were extracted using translation lesion boxes that encompassed lesions in different positions and captured different contexts. …”
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The Effectiveness of Deep Learning in the Differential Diagnosis of Hemorrhagic Transformation and Contrast Accumulation After Endovascular Thrombectomy in Acute Ischemic Stroke Pa... by Mehmet Beyazal, Merve Solak, Murat Tören, Berkutay Asan, Esat Kaba, Fatma Beyazal Çeliker

“…The evaluated images were labeled as ‘contrast accumulation’ and ‘hemorrhagic transformation’. These labeled images were trained with nine different models under a convolutional neural network (CNN) architecture using a large dataset, such as ImageNet. …”
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Research on unsupervised domain adaptive bearing fault diagnosis method by WU ShengKai, SHAO Xing, WANG CuiXiang, GAO Jun

“…Aiming at the problem that the bearing fault diagnosis algorithm based on deep learning has poor diagnosis performance when the fault samples are lack of labels in different working conditions and real environmentsly, an unsupervised domain adaptive bearing fault diagnosis method was proposed to realize the unsupervised fault diagnosis of bearings under different working conditions. …”
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Utilization of Diversified Cover Crops as Green Manure-Enhanced Soil Organic Carbon, Nutrient Transformation, Microbial Activity, and Maize Growth by Jiri Kucerik, Martin Brtnicky, Adnan Mustafa, Tereza Hammerschmiedt, Antonin Kintl, Julie Sobotkova, Saud Alamri, Tivadar Baltazar, Oldrich Latal, Muhammad Naveed, Ondrej Malicek, Jiri Holatko

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Acoustic Enhancement Performance of Hierarchical ZSM-5 Zeolites with Different Si/Al Ratios by Mingbo Guo, Yijun Wang, Lei Zhang, Junran Lu, Chang Gong, Wanning Zhang, Yuxi Fang, Xinyuan Zhu, Shunai Che

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Elevator Running Fault Monitoring Method Based on Vibration Signal by Mingxing Jia, Xiongfei Gao, Hongru Li, Hali Pang

“…According to the one-dimensional characteristics of the vibration signal, this paper proposes an elevator operation fault monitoring method based on one-dimensional convolutional neural network (1-DCNN). …”
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Convolutional Neural Network–Vision Transformer Architecture with Gated Control Mechanism and Multi-Scale Fusion for Enhanced Pulmonary Disease Classification by Okpala Chibuike, Xiaopeng Yang

“…Background/Objectives: Vision Transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performances in image classification, especially in the domain of medical imaging analysis. …”
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Mediated Transformation of Tamarillo (<i>Solanum betaceum</i>) Callus Cell Suspension Cultures: A Novel Platform for Biotechnological Applications by Ricardo Ferraz, Bruno Casimiro, Daniela Cordeiro, Jorge Canhoto, Sandra Correia

“…This study presents a simple method for <i>Agrobacterium</i>-mediated transformation of these cells and demonstrates the successful insertion of the β-glucuronidase gene (<i>gusA</i>) and the yellow fluorescent protein gene (<i>eyfp</i>) in their genome. …”
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Differences in the profile of cytokine expression induced by implantation of oncogenic and non-oncogenic millipore filters by E. Yu. Rybalkina, O. Yu. Susova, T. G. Moizhess

“…There was no quantitative difference in the expression of Nf-κB1 and Nf-κB2 (nuclear factor κ-B1, κ-B2), Tgf-β (transforming growth factor β), IL-10. …”
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UGS-M3F: unified gated swin transformer with multi-feature fully fusion for retinal blood vessel segmentation by Ibtissam Bakkouri, Siham Bakkouri

“…UGS-M3F leverages its Unified Multi-Context Feature Fusion (UM2F) and Gated Boundary-Aware Swin Transformer (GBS-T) modules to capture contextual information across different levels. …”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

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Comparative Study on the Crystallite Size and Bandgap of Perovskite by Diverse Methods by Mohammad Tanvir Ahmed, Shariful Islam, Farid Ahmed

“…The structural and optical properties are investigated via X-ray diffraction, Fourier-transform infrared spectroscopy, and UV–Vis spectroscopy. …”
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Clinico-psycological characteristics of schizoaffective disorder remission in the context of pathopersonological transformations in the post-manifestation period (a clinical-etholo... by M. Ye. Khomitskyi

“…Results.The clinical-ethological characteristics of the socio-communicative interaction of patients with SAD obtained through postures, facial expressions and gestures have statistically significant differences regarding the characteristics of healthy individuals and indicate the presence of persistent transformations of pathopersonological range. …”
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Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach by Mohammad Mazyad Hazzazi, Mujeeb Ur Rehman, Arslan Shafique, Amer Aljaedi, Zaid Bassfar, Aminu Bello Usman

“…A detailed comparative analysis with the existing methods based on chaos, DWT, Tribonacci transformation (TT), and Fibonacci transformation (FT) reveals that the proposed encryption scheme outperforms the existing ones.…”
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Clothing classification method based on attention mechanism and transfer learning by CHEN Jinguang, HUANG Xiaoju, MA Lili

“…Aimed the low efficiency and low accuracy of clothing image classification, a clothing image classification method based on attention mechanism and transfer learning was proposed. …”
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