MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with Application in Colonic Polyp Image Segmentation by Chen Peng, Zhiqin Qian, Kunyu Wang, Lanzhu Zhang, Qi Luo, Zhuming Bi, Wenjun Zhang

“…Transformer is another method that can be adapted to the automatic segmentation method by employing a self-attention mechanism, which essentially assigns different importance weights to each piece of information, thus achieving high computational efficiency during segmentation. …”
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A Voxelized Transformer-Based Neural Network for 3D Reconstruction From Multi-Energy SEM Backscattered Electrons by Caizhi Zheng, Ronghan Hong, Hao-Jie Hu, Qing Huo Liu

“…Two numerical cases are used to respectively verify the inversion performance of the proposed method for different depths and different feature scales. …”
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Spatial transformation mechanism of city networks in the middle and lower Ganga Plain in modern times: a perspective on cultural routes by Xihui Wang, Wei Dong, Yicun Pang, Hang Yin

“…Second, the spatial‒statistical data translation (S-SDT) method is adopted to construct a gravity model on the basis of a quality evaluation system for historical towns, and the social network analysis (SNA) method is used to analyse the structure of city networks in different historical periods at both the overall and subnet levels. …”
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Minimum PV curtailment for distribution networks based on moment difference analysis theory by Yi Wang, Junyong Wu

“…This theory transforms the integration challenge of DPV into a problem of balancing the moment difference (MD) equations for power restoration and maintenance. …”
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A New Algorithm for Solving Terminal Value Problems of q-Difference Equations by Yong-Hong Fan, Lin-Lin Wang

“…We propose a new algorithm for solving the terminal value problems on a q-difference equations. Through some transformations, the terminal value problems which contain the first- and second-order delta-derivatives have been changed into the corresponding initial value problems; then with the help of the methods developed by Liu and H. …”
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S²RCFormer: Spatial-Spectral Residual Cross-Attention Transformer for Multimodal Remote Sensing Data Classification by Yifei Xu, Lingming Cao, Jialu Li, Wenlong Li, Yaochen Li, Yingjie Zong, Aichen Wang, Yuan Rao, Shuiguang Deng

“…The results indicate that the proposed approach shows comparable results to other state-of-the-art methods over different metrics.…”
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PECULIARITIES OF FORMING TOTAL REVENUES OF UNITED TERRITORIAL COMMUNITIES IN UKRAINE UNDER CURRENT CONDITIONS OF TRANSFORMING THE SYSTEM OF PUBLIC FINANCES by V. Melnyk, N. Kriuchkova, R. Shchur

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An Integrated Fault Identification Approach for Rolling Bearings Based on Dual-Tree Complex Wavelet Packet Transform and Generalized Composite Multiscale Amplitude-Aware Permutatio... by Wuqiang Liu, Xiaoqiang Yang, Shen Jinxing

“…Besides, this solution can judge the different faults more accurately compared with other ordinary methods.…”
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A New Fault Diagnosis Method of Rotating Machinery by Chih-Hao Chen, Rong-Juin Shyu, Chih-Kao Ma

“…An experimental study was performed to evaluate the proposed method and the results show that the method can effectively detect and recognize different kinds of faults of rotating machinery.…”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…The method utilizes the edge detection pixel point data of the part image for searching and region localization of line and circle features in the image with a modified Hough transform; A geometric calculation is used to compute the coordinates of the point cloud within the feature area; Drawing on the idea of graph neural network, the priori knowledge of machining is utilized to establish the correlation of related dimensional features in the part drawing, and this is used to propose a model of dimensional validation and correction by the combination of different features. …”
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Study on Descriptors of Acoustic Emission Signals Generated by Partial Discharges under Laboratory Conditions and in On-Site Electrical Power Transformer by Michał KUNICKI, Andrzej CICHOŃ, Sebastian BORUCKI

“…This paper presents comparative analysis of AE signals measurement results archived under laboratory conditions as well as on-site actual AE signals generated by inside PDs in electrical power transformer during its normal service. Three different PD model sources are applied for laboratory research: point to point, multipoint to plate and surface type. …”
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Transformation of the Personnel Policy of Russian Universities Participating in Project 5-100: The Case of National Research Nuclear University Mephi by E. A. Drugova, I. B. Pleshkevich, T. V. Klimova

“…These factors had deeply influenced the transformation of HRM practices at universities. Russian studies in this field are shown as fragmented, focusing on narrow aspects, and not forming a holistic picture of the HRM system transformation in Russian universities. …”
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Associations between physical fitness and different aspects of screen time in children and adolescents by Qiang Dong, Hengjia Liu, Qiang Fu

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The impact of digital economy on agricultural green total factor productivity: evidence from the quasi-natural experiment of the “Broadband China” Strategy by Luanfeng Wang, Yuhui Cai

“…IntroductionThe empowerment of agricultural green transformation through the digital economy has emerged as a critical pathway toward sustainable development.MethodsUtilizing panel data from 286 Chinese cities spanning from 2011 to 2023, this study employs the “Broadband China” Strategy as a quasi-natural experiment to construct a multi-period difference-in-differences (DID) model. …”
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Integrating Multiscale Spatial–Spectral Shuffling Convolution With 3-D Lightweight Transformer for Hyperspectral Image Classification by Qinggang Wu, Mengkun He, Qiqiang Chen, Le Sun, Chao Ma

“…Different from the slicing operation employed in classical transformers, the 3DLT directly extracts the inherent 3-D structural features from the HSI and mitigates quadratic complexity through a lightweight spatial–spectral pooling cross-attention mechanism. …”
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Data-Driven Dynamic Graph Convolution Transformer Network Model for EEG Emotion Recognition Under IoMT Environment by Xing Jin, Fa Zhu, Yu Shen, Gwanggil Jeon, David Camacho

“…To overcome these limitations, this paper proposes a new data-driven dynamic graph-embedded Transformer network (DGETN) that has emerged in different tasks of graph data mining for emotion analysis of EEG signals in the scene of IoMT. …”
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Towards a green world: how new urbanization affects green total factor carbon productivity by Xiaohong Wang, Xuanting Li

“…IntroductionNew urbanization is a powerful support for regional economic growth and green transformation.MethodsIn this paper, we select data from 237 cities at prefecture level and above in China from 2010 to 2021 for quasi-experimental design, and investigate the effects of new urbanization policy pilots on urban green total factor productivity (GTFP) and its mechanism by constructing a multi-period difference-in-differences model.ResultsThe study finds that: a) the construction of new urbanization has a positive impact on promoting urban GTFP, and this result is verified by a series of robustness tests; b) the promotion of industrial structure upgrading, the facilitation of green technological innovation, and the reduction of the degree of resource mismatch all partially mediate the relationship between new urbanization and urban GTFP; c) environmental regulation and market integration both modulate the relationship between the construction of new urbanization and urban GTFP in positive directions; d) heterogeneity analysis shows that, in terms of the two-dimensional city attributes of ‘location-characteristics’, the increase in GTFP is more significant in eastern and central cities, and in non-resource cities; e) further analysis shows that the pilot policies of new urbanization have a spatial spillover effect on GTFP, and the policy spillover effects are mainly affected through mechanisms such as industrial structure upgrading in neighboring municipalities.DiscussionThis study provides new ideas for the next stage of sustainable regional green development in China, thus promoting China's high-quality development with theoretical and practical significance.…”
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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…This study presents a novel approach based on Transformer architecture to specifically address these issues. …”
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Improved Agrobacterium-mediated transformation protocol for VgDGAT1a gene based on shoot tip culture of cotton by WANG Anke, HE Qiuling, PAN Jingjing, SUN Yingchao, ZHU Shuijin, CHEN Jinhong

“…In addition, reduplicated selections improved accuracy.In conclusion, this study describes an optimized transformation protocol for shoot tip of ‘Zhongmiansuo 49’with an A. tumefaciens strain EHA105 harboring DGAT1 gene, and proves that it is an efficient and economical method to obtain transgenic plants based on the results of different and important parameters influencing the transformation efficiency.…”
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Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

“…Abstract This study proposes a real-time augmented reality gesture interaction algorithm based on the Swin Transformer and a masked self-encoder. This algorithm solves the challenges of the traditional Transformer model regarding spatio-temporal feature extraction and real-time performance. …”
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