Geochemical approach to the study of spatial relations and transformation of landscapes (the example of Western Caucasus) by Viktor Aleksandrovich Shalnev, Ekaterina Aleksandrovna Lyashenko, Viktoria Viktorovna Melnychuk, Alexander Aleksandrovich Tokarev

“…The index values in most of the facies (except fir forests) testify to the predominance of unstable and weakly stable relations, they are more dependent on external factors and a predisposition to processes of transformation. The indices of tension bioecosystem ties allowed the typology of geochemical environments for the different facies of medium and high mountains landscapes.…”
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Image rain removal network based on checkerboard transformer and CNN hybrid mechanism. by Yutian Yang, Jianyu Lin, Xinyue Dai, Zhipei Zhang, Shuijin Zhang, Yingyu Chen, Guangxin Kong, Xin Li

“…The network seamlessly integrates the advantages of Transformer and fitted neural network (CNN) in a checkerboard architecture, fully utilizing the global modeling capability of Transformer and the local feature extraction efficiency of CNN.ChessFormer adopts a multilevel feature extraction and progressive feature fusion strategy to efficiently achieve the rain line while preserving the We design a multidimensional transposed attention (MSTA), which enhances the network fusion for different rain patterns and mechanism image textures by combining self-attention with gated phase operation. …”
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Authoritarian continuity. HIV/AIDS policies as revealing the (non)transformations of the state in Cameroon by Larissa Kojoué

“…The present article examines political practice in Cameroon, its transformations and variations through a sociological analysis of public HIV/AIDS action targeting children. …”
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Improvement of medical images with multi-objective genetic algorithm and adaptive morphological transformations by Sadeq Moradzadeh, Vahid Mehrdad

“…Abstract Different variables can contribute to the corruption of medical images, causing them to appear blurred or weakened. …”
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Multiscale Graph Transformer Network With Dynamic Superpixel Pyramid for Hyperspectral Image Classification by Tingting Wang, Yao Sun, Yunfeng Hu

“…To address these limitations, we propose a multi-scale graph transformer network (MSGTN), which captures spatial features at different scales through multiscale graph convolutional networks (GCNs) with adaptive graph structures. …”
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ENHANCING HEALTHCARE IN PANGASINAN: SIMULATING BLOCKCHAIN’S SMART CONTRACT SECURITY FOR DIGITAL TRANSFORMATION by Lenigrace Mecias, Thelma D. Palaoag

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Lexico-Semantic and Structural Transformations of Biblical Text when Translated Into Ossetian Language by L. B. Morgoeva

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Digital transformation of modern corporation management tools: the current state and development paths by V. A. Laptev, S. Yu. Chucha, D. R. Feyzrakhmanova

“…The methodology of this study was based on the following methods of scientific knowledge: general scientific empirical methods (observation (over the course of development of the use of digital technologies in corporate law), comparison (of the effectiveness of the use of digital technologies in corporate law of different countries)); methods of theoretical knowledge (analysis (of advantages and disadvantages of digitalization of individual institutions of corporate law), formal legal method (in the formulation and research of various concepts, determination of their characteristics and classification), theoretical modeling (of the prospects and areas of possible application of digital technologies in corporate law).The main results. …”
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The Impact of Government Digital Transformation on Land Use Efficiency: Evidence from China by Yan Jiang, Lun Yang, Xiaokun Wei, Xiaodong Zhang

“…Different from studies focusing on the transformation of the private sector, this study aims to investigate the impact of public sector digitalization, i.e., government digital transformation (GDT), on land use efficiency (LUE). …”
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A Multi‐Scale Time Adaptive Fusion Network for Transformer Fault Diagnosis by XuMing Liu, XiaoKun He, YongLin Li

“…Finally, the multi‐scale temporal fusion (MSTF) module balances the fusion of multi‐scale temporal features and global dependencies, adapting to different tasks and data distributions. Extensive experiments on publicly available datasets demonstrate that the MSTAFN model outperforms comparison models across multiple evaluation metrics, proving its effectiveness and superiority in transformer fault diagnosis.…”
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A spatial and temporal transformer-based EEG emotion recognition in VR environment by Ming Li, Peng Yu, Yang Shen

“…We propose a purely Transformer-based method, EmoSTT. We use two separate Transformer modules to comprehensively model the temporal and spatial information of EEG signals. …”
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Memory Mining and Spatial Transformation of Daily Landscape in Renewal of Tianjin Old City by Chunyan ZHANG, Xinyi ZHANG, Tianying HOU

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Nystromformer based cross-modality transformer for visible-infrared person re-identification by Ranjit Kumar Mishra, Arijit Mondal, Jimson Mathew

“…To address this, we propose NiCTRAM: a Nyströmformer-based Cross-Modality Transformer designed for robust VIS-IR person re-identification. …”
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An Overview: PAH and Nitro-PAH Emission from the Stationary Sources and their Transformations in the Atmosphere by Yen-Yi Lee, Yen-Kung Hsieh, Bo-Wun Huang, Justus Kavita Mutuku, Guo-Ping Chang-Chien, Shiwei Huang

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Predictors of hemorrhagic transformation after acute ischemic stroke based on the experts’ opinion by João Brainer Clares de ANDRADE, Jay Preston MOHR, Fabricio Oliveira LIMA, Levi Coelho Maia BARROS, Camila Rodrigues NEPOMUCENO, Leonardo Barreira PORTELA, Gisele Sampaio SILVA

“…ABSTRACT Background: Hemorrhagic transformation (HT) is a common complication after ischemic stroke. …”
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Dual-Branch Spatial–Spectral Transformer with Similarity Propagation for Hyperspectral Image Classification by Teng Wen, Heng Wang, Liguo Wang

“…That is to say, existing Transformer-based methods exhibit certain limitations in retaining and effectively utilizing information throughout their forward transmission. …”
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Alternate encoder and dual decoder CNN-Transformer networks for medical image segmentation by Lin Zhang, Xinyu Guo, Hongkun Sun, Weigang Wang, Liwei Yao

“…Abstract Accurately extracting lesions from medical images is a fundamental but challenging problem in medical image analysis. In recent years, methods based on convolutional neural networks and Transformer have achieved great success in the medical image segmentation field. …”
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TFTformer: A novel transformer based model for short-term load forecasting by Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong

“…Recent studies have employed Transformer models in forecasting due to their unique attention mechanisms and ability to extract correlations in data. …”
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Unsupervised Video Anomaly Detection Using Video Vision Transformer and Adversarial Training by Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama

“…The generator has an encoder based on a video vision transformer and two decoders that independently predict the future frame and optical flow magnitude using feature maps extracted from the encoder at different resolutions. …”
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Transforming engineering education in the digital era: findings from a systematic review by Yu-Ping Hsu, Danielle F. Chiang, Ifedayo Kehinde

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