Time-frequency insights: Uncovering the drivers of reference evapotranspiration across China by Shuting Zhao, Jinglong Wu, Rangjian Qiu, Tao Zhang, Yufeng Luo, Wei Hu

“…Here, we identified the primary factors affecting ETo across time-frequency domain in 653 meteorological stations of mainland China based on the combination of wavelet transform coherence (WTC) and multiwavelet coherence (MWC) methods. …”
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Combining convolutional neural network with transformer to improve YOLOv7 for gas plume detection and segmentation in multibeam water column images by Wenguang Chen, Xiao Wang, Junjie Chen, Jialong Sun, Guozhen Zha

“…Multibeam bathymetry has become an effective underwater target detection method by using echo signals to generate a high-resolution water column image (WCI). …”
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Physicochemical Properties, Polyphenol and Mineral Composition of Different Triticale Varieties Cultivated in the Republic of Moldova by Georgiana Gabriela Codină, Florin Ursachi, Adriana Dabija, Sergiu Paiu, Iurie Rumeus, Svetlana Leatamborg, Galina Lupascu, Silviu-Gabriel Stroe, Aliona Ghendov-Mosanu

“…Also, Fourier transform infrared spectroscopy (FT-IR) was used to evaluate the quality parameters of triticale grains. …”
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Efficient-ViT B0Net: A high-performance light weight transformer for rice leaf disease recognition and classification by Santosh Kumar Upadhyay, Rajesh Prasad

“…The proposed method was compared with other approaches on the same experimental environment. …”
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Discussions on the Adsorption Behaviors Affected by the Differences Between Graphene Oxide and Graphene Grafted by Chitosan by Chin-Chun Chung, Hua-Wei Chen, Jin-Lin Han, Hung-Ta Wu

“…Thin films of graphene, graphene oxide, and their chitosan-modified counterparts were prepared via the methods of precipitation and grafting. The differences in the chemical structure, surface properties, and surface morphology of the films were evaluated, and their effect on the adsorption performance of CO₂ is discussed herein. …”
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Transforming Early Breast Cancer Detection: A Deep Learning Approach Using Convolutional Neural Networks and Advanced Classification Techniques by Arun Kumar Singh, Bireshwar Dass Mazumdar, Rohit Raja, Kamred Udham Singh, Ankit Kumar, Mohd Asif Shah

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Specific features of kinetics of thermal transformation of organic matter in Bazhenov and Domanik source rocks based on results of pyrolysis gas chromatography by Svetlana V. Mozhegova, Roman S. Gerasimov, Irina L. Paizanskaya, Anna A. Alferova, Elizaveta M. Kravchenko

“…Generation and updating of the data of kinetic models of certain oil and gas source rocks will increase the reliability of forecasting oil and gas potential using the basin modelling method.…”
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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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Feature Selection and Classification Optimization of Transformer Oil Odor Data With Recursive Feature Elimination Using Grid Search and Cross-Validation by Bilge Han Tozlu

“…Four features were selected from eighty-eight features using the Recursive Feature Elimination method with Grid Search and Cross-Validation, and they were classified with six different classifiers. …”
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Transformation of the Regional Policy of Russia and China under the Conditions of Unequal Development of Regions (1980-2020): a Comparative Historical Study by S. B. Makeeva

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A Novel Approach for Visual Speech Recognition Using the Partition-Time Masking and Swin Transformer 3D Convolutional Model by Xiangliang Zhang, Yu Hu, Xiangzhi Liu, Yu Gu, Tong Li, Jibin Yin, Tao Liu

“…This paper proposes a lip reading data augmentation method—Partition-Time Masking (PTM)—to address these challenges and improve lip reading models’ performance and generalization ability. …”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…Further, the features are processed via a vision transformer (ViT) network. This method enables the model to learn more complex relationships and patterns within the data, thereby improving the classification performance. …”
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Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect by Yang Ya, Tao Hongyan, Yu Chengbo

“…The obtained key points are iteratively sorted,and the RANSAC（ Random sample consensus） algorithm is used to extract the matching points for two times. The gray difference algorithm is used to extract the defective region after the matrix transformation registration,using the Otsu threshold method to segment the image and the characteristics of defect area domain are analyzed,which uses the Otsu threshold method to segment the image. …”
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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

“…These generations are more and more often operating in the same teams of employees, which may be a significant challenge for the managers of modern organisations. Material and methods In this paper the method of analysis of current literature was used. …”
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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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LQ-MixerNeT: A CNN-Transformer Deep Fusion-Based Model for Object Detection in Optical Remote Sensing Images by Wenxuan Zheng, Ying Yang

“…Results demonstrate that our method achieves mAP@0.5 scores of 73.65%, 85.29%, and 83.25%, respectively. …”
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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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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

“…This highlights the need for models that can combine fine-grained local features with a comprehensive global view. <b>Methods:</b> To address this challenge, we propose AKTransU-net, a hybrid U-net-based architecture. …”
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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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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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