DCAI: a dual cross-attention integration framework for benign-malignant classification of pulmonary nodules by Shuling Wang, Suixue Wang, Rongdao Sun

“…These features are encoded using Transformer models, and then a dual cross-attention module is proposed to dynamically align and interact with the complementary information between the different modalities. …”
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Offline reinforcement learning combining generalized advantage estimation and modality decomposition interaction by Kaixin Jin, Lifang Wang, Xiwen Wang, Wei Guo, Qiang Han, Xiaoqing Yu

“…However, existing Transformer-based methods face limitations, such as ineffective trajectory stitching and the neglect of deep interactions within and between multimodal information in trajectories. …”
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Relationship between quantitative parameters of contrast⁃enhanced ultrasound and EMT⁃related markers and prognosis in patients with liver metastasis of colorectal cancer by CHEN Xi*，SUN Gaixia，WANG Likun，WU Xueliang

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Effects of Alprostadil on experimental peritoneal fibrosis in rats by ZHANG Yan-min, CHEN Wei-dong, WAN Sheng, CHEN Dan, CHEN Fang, DING Yan-qiong, WANG Zeng-si, TIAN Hong-dan, XIONG Fei

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Various doses of statins and coronary angiogenesis in patients with coronary heart disease by I. V. Sergienko, A. E. Semenova, V. V. Masenko, S. A. Gabrusenko, V. V. Kukharchuk, Yu. N. Belenkov

“…To investigate the effects of different doses of statins on the levels of factors stimulating and inhibiting coronary angiogenesis.Material and methods. …”
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Multi-Head Graph Attention Adversarial Autoencoder Network for Unsupervised Change Detection Using Heterogeneous Remote Sensing Images by Meng Jia, Xiangyu Lou, Zhiqiang Zhao, Xiaofeng Lu, Zhenghao Shi

“…This bilateral structure mitigates the information loss associated with one-way mappings, enabling more accurate style transformation and reducing false change detections caused by sensor heterogeneity, which represents a key advantage over existing unidirectional methods. …”
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The model of cultural turn in Iranian political sociology in the last two decades by Mahsa Puladi, Hossein Harsij, Amir Masoud Shahram Nia

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BLTTNet: feature fusion based on BiLSTM-Transfomer-TCN for prediction of remaining useful life of aircraft engines by Yixu Yang, Xiaoying Su, Chaoyong Wang, Hongxi Liu, Kunhao Fu, Tao Xie, Zishuo Zhang

“…Specifically, DCEFormer with a Transformer structure enhances the allocation of feature weights by processing the contributions of different features in both the time step dimension and the sensor dimension, thereby improving the accuracy of RUL prediction for mechanical equipment. …”
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Digital Potential of Russian Regions by Alexander Borisovich Savchenko, Tatiana Lvovna Borodina

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A differential auxiliary semantic interactive network for high-resolution remote sensing image change detection by Yujuan Zhao, Yunliang Hu, Xianwei Han, Lei Zhang, Wei Gao

“…Change detection in high-resolution remote sensing images poses several challenges, including variations in illumination variations and the presence of dense small targets. Current methods for change detection frequently encounter difficulties in aligning multi-scale features and differences and semantic changes. …”
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Methodology of Strategic Planning For the Development of Educational Ecosystems by O. E. Permyakov, E. A. Kitin

“…The active development of ideas for sustainable development and the digital transformation of socio-economic relations induce educational organizations to revise long-term development programs. …”
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RGD peptide-conjugated polydopamine nanoparticles loaded with doxorubicin for combined chemotherapy and photothermal therapy in thyroid cancer by Donglan Yuan, Zhiqiang Lu, Xindan Xu, Wei Liu

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A study of the impact of Internet use on the employment transition of rural labor: evidence from China by Ruolan Yuan, Qin Fu

“…IntroductionAmid the rapid development of the digital economy, the digital economy centered on Internet technology is reshaping the employment structure, particularly exerting significant influences on rural economic transformation and the upgrading of employment.MethodsThis paper empirically analyzes the impact of Internet usage on the employment transition of the rural labor force by employing the 2010–2020 China Family Tracking Survey panel data (CFPS).Results and discussionStudies show that the use of the Internet has a significant positive effect on the employment transformation of rural labor force and helps promote the transformation of rural labor force from agricultural employment to non-agricultural employment. …”
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LEM-Detector: An Efficient Detector for Photovoltaic Panel Defect Detection by Xinwen Zhou, Xiang Li, Wenfu Huang, Ran Wei

“…To address these challenges, this paper proposes the LEM-Detector, an efficient end-to-end photovoltaic panel defect detector based on the transformer architecture. To address the low detection accuracy for Crack and Star crack defects and the imbalanced dataset, a novel data augmentation method, the Linear Feature Augmentation (LFA) module, specifically designed for linear features, is introduced. …”
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SYSTEM ANALYSIS OF SCIENTIFIC-AND-TECHNICAL INFORMATION IN AUTOMATIC CONTROL SYSTEM OF POWER UNITS WATTAGE by G. T. Kulakov, K. I. Artsiomenka

“…The production, transformation, transmission, distribution and consumption of electricity is one continuous process. …”
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Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

“…Our methodology integrates Vision Transformers (ViT) and EfficientNet-V2 models, both renowned for their powerful feature extraction capabilities in medical imaging. …”
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Time–frequency ensemble network for wind turbine mechanical fault diagnosis by Haiyu Guo, Xingzheng Guo, Xiaoguang Zhang, Fanfan Lu, Chuang Liang

“…In the time domain module, the global time domain features of faults are extracted by the Transformer encoder block. In the frequency domain module, a mixhop graph convolutional network is used to extract the multi-scale frequency domain features of different neighbours, and a Multi Head Attention (MHA) mechanism is introduced to capture the intra-feature dependencies. …”
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SLG-Net: Small-Large-Global Feature-Based Multilevel Feature Extraction Network for Ultrasound Image Segmentation by Xinya Fan, Jianwen Hu, Kai Hu

“…The SLG-Net is parallel dual-encoder architecture which consists of a CNN encoder and a transformer encoder. Specifically, the CNN encoder improves the representation and interaction of fine feature and large-scale context feature for targets of different sizes by large-small kernel attention (LSKA) modules. …”
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Integrating Satellite-Based Precipitation Analysis: A Case Study in Norfolk, Virginia by Imiya M. Chathuranika, Dalya Ismael

“…Specifically, the effectiveness of SbPPs in Norfolk, Virginia, is assessed by comparing them with observed precipitation data from Norfolk International Airport (NIA) using common bias adjustment methods. The study applies three different methods to correct biases caused by sensor limitations and calibration discrepancies and then identifies the most effective methods based on statistical indicators, detection capability indices, and graphical methods. …”
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Beyond Granularity: Enhancing Continuous Sign Language Recognition with Granularity-Aware Feature Fusion and Attention Optimization by Yao Du, Taiying Peng, Xiaohui Hu

“…We introduce a feature fusion method for integrating visual features of disparate granularities and refine the metric of attention to enhance the Transformer’s comprehension of video content. …”
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