Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

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Some growth factors in neoplastic tissues of brain tumors of different histological structure by O. I. Kit, E. M. Frantsiyants, E. E. Rostorguev, I. V. Balyazin-Parfenov, N. D. Cheryarina, L. S. Kozlova, Yu. A. Pogorelova

“…Vascular endothelial growth factor (VEGF), fibroblast growth factor (FGF), transforming growth factor alpha and beta (which are also known as “triggers” of angiogenesis), and other factors (Gacche, Meshram, 2013; Nijaguna et al., 2015) play a special role in its development. …”
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Multi-Temporal Snow-Covered Remote Sensing Image Matching via Image Transformation and Multi-Level Feature Extraction by Zhitao Fu, Jian Zhang, Bo-Hui Tang

“…To address the challenge of image matching posed by significant modal differences in remote sensing images influenced by snow cover, this paper proposes an innovative image transformation-based matching method. …”
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Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN by Chanwoong Lee, Chanwoong Lee, Young Hun Yoon, Young Hun Yoon, Young Hun Yoon, Jiwon Sung, Jun Won Kim, Yeona Cho, Jihun Kim, Jaehee Chun, Jin Sung Kim, Jin Sung Kim, Jin Sung Kim

“…Local gamma analysis was slightly higher for proposed method. This study showed the improvement of sCT using transformer and structure preserving loss even with the complex anatomy of the abdomen.…”
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Soil Nitrogen Transformation Pathways Shift Following Deep Tillage in Coastal Wetlands Invaded by <i>Spartina alterniflora</i> by Jingwen Gao, Pengcheng Jiang, Junzhen Li, Ming Wu, Xuexin Shao, Niu Li

“…Deep tillage is considered an effective physical method for ecological restoration in such wetlands; however, its effects on sediment nitrogen transformation processes remain unclear. …”
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MT-SCnet: multi-scale token divided and spatial-channel fusion transformer network for microscopic hyperspectral image segmentation by Xueying Cao, Hongmin Gao, Haoyan Zhang, Shuyu Fei, Peipei Xu, Peipei Xu, Zhijian Wang

“…However, the fixed tokenization schemes and single-dimensional feature extraction and fusion in existing methods lead to insufficient global feature extraction in hyperspectral pathology images.MethodsBase on this, we propose a multi-scale token divided and spatial-channel fusion transformer network (MT-SCnet) for MHSIs segmentation. …”
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A High-Order Hybrid Approach Integrating Neural Networks and Fast Poisson Solvers for Elliptic Interface Problems by Yiming Ren, Shan Zhao

“…The predicted Cartesian derivative jumps can then be integrated in the corrected finite differences. The resulting discrete Laplacian can be efficiently solved by fast Poisson solvers, such as fast Fourier transform (FFT) and geometric multigrid methods, over a rectangular domain with Dirichlet boundary conditions. …”
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Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations by M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed

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How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency? by Hui Li, Chuandang Zhao, Xiaoying Tang, Jiawei Cheng, Guanyang Lu, Yang Gu, Zhiyue Zhang, Yang Liu

“…However, due to the defects of previous methods for measuring GIE, existing studies may have deviations when analysing the effect of environmental regulations on GIE. …”
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Experimental modeling of chemical burning of the esophagus using different concentrations of alkali solution by I. Yu. Karpova, P. V. Peretyagin, N. Yu. Orlinskaya, T. E. Potemina, V. V. Parshikov

“…The purpose and objectives of the study: is to create an experimental model of a chemical burn of the esophagus with alkali to study the pathological transformation of the tissues of the upper gastrointestinal tract.Materials and methods. …”
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SHOULD LIKERT DATA BE TRANSFORMED USING SUMMATED RATING SCALE? A CONFIRMATORY FACTOR ANALYSIS STUDY ON THE CONTINUOUS LEARNING by Islamiani Safitri

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Global Dynamics of a Rational Difference Equation and Its Solutions to Several Conjectures by Shaoxia Jin, Xianyi Li, Bo Sun

“…Ladas and colleagues. The methods involve transforming the higher-order equation into a first-order difference equation and analyzing the properties of the resulting function, particularly its Schwarzian derivative. …”
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Does the transformation of high-tech zones into national innovation demonstration zones promote the urban green total factor productivity? by Zhang Tingting, Xie Jiaping, Xie Jiqing, Liang Ling, Bi Lingling

“…Then we measured urban green total factor productivity by applying the SBM model and investigated the impact of transformation on urban green total factor productivity through the difference in difference (DID) method. …”
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Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing. by Sofia Gil-Clavel, Thorid Wagenblast, Tatiana Filatova

“…We use the derived data as input for generalized linear models to analyze whether reported factors behind farmers' decisions differ by type of adaptation (incremental vs. transformational) and across different global regions. …”
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The Transformative Power of AI Writing Technologies: Enhancing EFL Writing Instruction through the Integrative Use of Writerly and Google Docs by Bantalem Derseh Wale, Yirgalem Fentie Kassahun

“…AI technologies transform language instruction by offering feedback, support, and guidance to students, ultimately leading to a more effective and efficient learning experience. …”
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CBCT-to-CT synthesis using a hybrid U-Net diffusion model based on transformers and information bottleneck theory by Can Hu, Ning Cao, Xiuhan Li, Yang He, Han Zhou

“…In this study, we propose a hybrid U-Net diffusion model (HUDiff) based on Vision Transformer (ViT) and the information bottleneck theory to improve CBCT image quality. …”
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ViViT-Prob: A Radar Echo Extrapolation Model Based on Video Vision Transformer and Spatiotemporal Sparse Attention by Yunan Qiu, Bingjian Lu, Wenrui Xiong, Zhenyu Lu, Le Sun, Yingjie Cui

“…To address the limitations of existing deep learning methods in radar echo extrapolation, this paper proposes a radar echo extrapolation model based on video vision transformer and spatiotemporal sparse attention (ViViT-Prob). …”
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A Study on the Performance Improvement of Automatic Intellectual Property Counseling Classification: Using the Transformer-based AI Model BERT by Dong-Hun Noh, Jae-Ok Min, So-Youn Woo

“…However, an investigation as to the distribution of counseling case classification over the past five years showed some differences between the 2018–2020 distribution, classified by professional counselors, and the 2021–2022 distribution, automatically classified by TA. …”
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Applying auxiliary supervised depth-assisted transformer and cross modal attention fusion in monocular 3D object detection by Zhijian Wang, Jie Liu, Yixiao Sun, Xiang Zhou, Boyan Sun, Dehong Kong, Jay Xu, Xiaoping Yue, Wenyu Zhang

“…Furthermore, Depth-DETR employs cross modal attention mechanisms to effectively fuse three different features. A parallel structure of two cross modal transformer is applied to fuse two depth features with visual features. …”
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HSD²Former: Hybrid-Scale Dual-Domain Transformer with Crisscrossed Interaction for Hyperspectral Image Classification by Binxin Luo, Meihui Li, Yuxing Wei, Haorui Zuo, Jianlin Zhang, Dongxu Liu

“…However, Transformer-based methods still encounter two main challenges. …”
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