Crop field extraction from high resolution remote sensing images based on semantic edges and spatial structure map by Liegang Xia, Ruiyan Liu, Yishao Su, Shulin Mi, Dezhi Yang, Jun Chen, Zhanfeng Shen

“…This method relies on good connectivity to repair fragmented edges that may appear in semantic edge detection. …”
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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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MCGFE-CR: Cloud Removal With Multiscale Context-Guided Feature Enhancement Network by Qiang Bie, Xiaojie Su

“…The experimental results demonstrate that this method has higher spectral fidelity and richer structural texture information in reconstructing various types of ground information and optical images with different cloud coverage areas.…”
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Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

“…Most existing mainstream image classification models use the Convolutional Neural Network (CNN), the Transformer, or a combination of both as the backbone. …”
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The (2+1)-Dimensional Chiral Nonlinear Schrödinger Equation: Extraction of Soliton Solutions and Sensitivity Analysis by Ejaz Hussain, Yasir Arafat, Sandeep Malik, Fehaid Salem Alshammari

“…We employ the traveling wave transformation to convert the nonlinear partial differential equation (NLPDE) into the nonlinear ordinary differential equation (NLODE). …”
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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

“…It efficiently combines information from different scales and levels through a feature fusion strategy. …”
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Bearing Performance Analysis of the Thermal and Surface Roughness Effects by Finite Element Method on Slider Bearings Through Non-Newtonian Fluid-Type Lubricant by Girma Desu Tessema, Getachew Adamu Derese, Awoke Andargie Tiruneh

“…The finite element method was used in this study to explore the impact of surface roughness and thermal characteristics on slider bearings with non-Newtonian power-law fluid flow lubricant. …”
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Face-to-Face or Flipped Learning Classroom: Which Method Enhances Iranian EFL Sixth-Grade Students’ Self-Efficacy in Virtual Learning Environment? by Vahid Norouzi Larsari, Farahman Farrokhi

“…The realm of education has experienced significant transformation driven by swift advancements in technology, leading to the rise of virtual learning as a key instructional approach. …”
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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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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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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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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

“…Statistical analysis (Mann–Whitney test) showed no significant difference between the 3-month and 9-month groups (P = 0.689). …”
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Comparative Analysis of Frequency Ratio, Analytical Hierarchy Process, and Logistic Regression Methods in Selecting the Location of Rural Dwellings: the Case of Keban Stream Basin... by Fethi Ahmet Canpolat, Ahmet Toprak

“…Performing site selection analyses with different methods demonstrates the advantages of one method over the others and provides more accurate analyses. …”
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Enhancing the quality of low-light images via the coefficient bounds derived for a subclass of Sakaguchi-type function by K. Sivagami Sundari, B. Srutha Keerthi

“…Abstract This paper introduces a new approach for enhancing low-light images by utilizing coefficient bounds from a specific subclass of analytic functions, a concept rooted in geometric function theory. Our method is designed to adapt dynamically to different lighting conditions, ensuring effective image enhancement in both uniformly and non-uniformly illuminated environments. …”
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Workflow Detection with Improved Phase Discriminability by ZHANG, M., HU, H., LI, Z.

“…Specifically, temporal self-attention is firstly designed to learn the relationship between different positions of feature sequence. Then, multi-scale Transformer is introduced to encode pyramid features, which fuses multiple context cues for discriminative feature representation. …”
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Slipping Trend Prediction Based on Improved Informer by Jingchun Huang, Sheng He, Haoxiang Feng, Yongjiang Yu

“…The TCU records time series data with a step length of 1 s. The transformer-based Informer algorithm performs well in time series prediction and analysis. …”
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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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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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Happiness management and workplace well-being: Evolution, key insights, and future directions. A systematic review by Mario Alberto Salazar-Altamirano, Esthela Galván Vela, Rafael Ravina-Ripoll, Mónica Lorena Sánchez-Limón

“…Additionally, the effects of COVID-19, digital transformation, and automation on employee well-being remain underexplored. …”
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