Slipping Trend Prediction Based on Improved Informer by Jingchun Huang, Sheng He, Haoxiang Feng, Yongjiang Yu

“…Based on the improved Informer algorithm, this paper proposes a slip trend prediction method, which can predict the slipping state of n time steps according to the data of the previous seconds. …”
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Predicting bone metastasis risk of colorectal tumors using radiomics and deep learning ViT model by Guanfeng Chen, Wenxi Liu, Yingmin Lin, Jie Zhang, Risheng Huang, Deqiu Ye, Jing Huang, Jieyun Chen

“…Materials and methods: We conducted a retrospective analysis of 155 colorectal cancer patients, including 81 with bone metastasis and 74 without. …”
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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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Transition Mechanism Design for Wind Power Participating in Energy Markets by WU Yang, LU Zhilin, ZHU Wenjing, LIU Shuangquan, LENG Yuan, ZHU Xinchun, LIU Mingbo

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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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MFSE-TransUNet: A Thyroid Nodule Ultrasound Image Segmentation Network Integrated With Dynamic Feature Calibration and Edge Enhancement by Ye Lu, Jiaojiao Jing, Wenbo Zhang, Yali Kong

“…Although the existing TransUNet balances local and global features through a hybrid CNN-Transformer architecture, it still faces the following challenges in thyroid nodule segmentation: firstly, the fixed convolutional kernels struggle to adapt to nodule morphological diversity; Secondly, existing multi-scale feature fusion methods fail to consider hierarchical contribution differences; Furthermore, significant edge information is easily lost during upsampling. …”
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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 methodology of strategic planning for the development of educational ecosystems presented in the work is considered as a complex of scientific methods: system analysis, classification, personality-oriented and ecosystem approaches. …”
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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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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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Research on High Arch Dam Deformation Monitoring Model with Deep Capturing Related Features in Factor-time Dimensions by XUE Jianghan, ZHANG Pengtao, TIAN Jichen, LU Xiang, CHEN Jiankang, Guo Yinju

“…Combined with the application scenario of high arch dam safety monitoring, a deformation prediction model Deep capture Transformer (DcTransformer) is constructed based on the dependence of depth capture dimensions of factor and time.MethodsFirstly, the HST model of dam safety monitoring at each measuring point is established, and the measured environmental data are preprocessed to form the water pressure, aging and temperature components containing physical mechanisms; By dividing the time window, the input matrix of environmental factors of the prediction model is constructed. …”
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Study of morphology, phase composition, optical properties, and thermal stability of hydrothermal zirconium dioxide synthesized at low temperatures by Yuriy Garanin, Rafael Shakirzyanov, Daryn Borgekov, Artem Kozlovskiy, Natalia Volodina, Dmitriy Shlimas, Maxim Zdorovets

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CIDNet: A Maritime Ship Detection Model Based on ISAR Remote Sensing by Fei Liu, Boyang Liu, Hang Zhou, Song Han, Kunlin Zou, Wenjie Lv, Chang Liu

“…Existing ship target detection techniques, especially target detection methods and detection models in complex settings, have problems such as long inference time and unstable robustness, meaning that they can easily miss the best time for detecting ship targets and cause intelligence loss. …”
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Analysis of differential gene expression of PBMC for the in vitro detection of drug sensitization by Andreas Glässner, Michael Steffens, Amol Fatangare, Gerda Wurpts, Per Hoffmann, Philipp N. Deck, Christine Krämer, Stefani Röseler, Albert Sickmann, Markus M. Nöthen, Amir S. Yazdi, Bernhardt Sachs

“…Methods: Blood samples from 40 patients with allergy to different drugs and from 40 non-drug-allergic controls were recruited. …”
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Comprehensive systematic review and meta-analysis of the TGF-β1 T869C gene polymorphism and autoimmune disease susceptibility by Yawen Zhu, Ai Qian, Yuanyuan Cheng, Ming Li, Chuanbing Huang

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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…The adoption of individual difference parameterization methods, combined with a multi-level cascade prediction framework system design, significantly enhances the prediction accuracy of health risk probability. …”
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The Effect of Storage Time of Fresh Human Amniotic Membrane on the Levels of Growth Factors Epidermal Growth Factor, Transforming Growth Factor Beta, and Basic Fibroblast Growth Fa... by Ida Bagus Nyoman Ananta Awatara, Yuanita Safitri Dianti, Sitti Rizaliyana, Vijayendran Swaminathan

“…Methods: This was a post-test group experimental design, in which we used enzyme-linked immunosorbent assay tests to measure three growth factor (EGF, TGF-β, bFGF) levels in gamma-irradiated, freeze-dried human amnion membrane derived from three storage groups of fresh human amnion membrane (1 week, 3 months, and 9 months). …”
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