New Permutation-Free Quantum Circuits for Implementing 3- and 4-Qubit Unitary Operations by Artyom M. Grigoryan

“…The article presents the quantum signal-induced heap transform (QsiHT) method of the QR-decomposition of multi-qubit operations. …”
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Study on Vibration Characteristics of Three-Dimensional Coil Core Transformer Under Interturn Short Circuit Fault by Xianghui Chang, Guoxin Zhao, Dezhi Chen, Ziyuan Xin, Zhonghuan Su

“…Secondly, the theory and calculation method of the short-circuit current, leakage magnetic field and axial spring mass model of the transformer were analyzed. …”
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Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning by Mohammed Al-alshaqi, Danda B. Rawat, Chunmei Liu

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GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images by Yali Liu, Cui Ni, Peng Wang, Dongqing Yang, Hexin Yuan, Chao Ma

“…In this study, we propose a building detection method that integrates global and local features. …”
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Assessment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectroscopy and Optimized Support Vector Machine by Deliang Liu, Biao Lu, Wenping Wu, Wei Zhou, Wansu Liu, Yiye Sun, Shilong Wu, Guolong Shi, Leiming Yuan

“…Accurate assessment of the aging state of transformer oil-barrier insulation is crucial for ensuring the safe and reliable operation of power systems. …”
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Empirical Evidence on Pro-Environmental Activities of Companies in Times of Energy Transformation: A Case Study of Poland by Beata Bal-Domańska, Elżbieta Stańczyk, Mirosława Szewczyk

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Some transformations in a series of 4-amino-1,2,4-triazole-3-thion derivatives by O. A. Bihdan, V. V. Parchenko, B. V. Gutyj

“…The continuous improvement of synthesis methods enables the optimization of the process for developing and obtaining target products of chemical transformation. …”
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How the climate resilient cities construction accelerates urban green transformation: impact effects and mechanism tests by Chen Gao, Cuiping Zhang, Ya Wen, Chunhui Wang

“…The Difference-in-Differences (DID) method is employed to identify the causal effect of CRCC on urban green transformation.ResultsEmpirical results show that CRCC significantly accelerates urban green transformation, with a 9.8% increase in green technology innovation. …”
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Application of three Transformer neural networks for short-term photovoltaic power prediction: A case study by Jiahao Wu, Yongkai Zhao, Ruihan Zhang, Xin Li, Yuxin Wu

“…The practical rolling prediction performance of the recommended configurations demonstrates the applicability and flexibility of the proposed methods.…”
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Brazil’s Agribusiness Economic Miracle: Exploring Food Supply Chain Transformations for Promoting Win–Win Investments by José Elenilson Cruz, Gabriel da Silva Medina, João Ricardo de Oliveira Júnior

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Automated Essay Scoring Menggunakan Semantic Textual Similarity Berbasis Transformer Untuk Penilaian Ujian Esai by Kharisma Ayu Pradani, Lya Hulliyyatus Suadaa

“…AES is a model trained to assess an essay automatically based on the similarity of answers with the answer key. In this study, the method proposed to calculate the semantic similarity of Indonesian text between essay answers and answer keys is a model based on the Transformer BERT. …”
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FEM Simulation of FDS Response in Oil-Impregnated Paper Insulation of Current Transformers with Axial Aging Variation by Lujia Wang, Yutong Zhang, Ling Yang, Xiaoyu Hu, Sien Xu, Weimin Huang, Longzhen Wang

“…The aging of oil-impregnated paper (OIP) insulation is one of the key factors influencing the service life of oil-immersed current transformers. Frequency domain spectroscopy (FDS), supported by mathematical models or simulation methods, is commonly used to evaluate insulation conditions. …”
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Scale, state and the city: Transformation of Diyarbakır, Suriçi region through the framework of spatial morphology and urban resilience by Berfin Eren, Mehmet Emin Şalgamcıoğlu

“…This paper introduces comprehensive, multi-faceted methods for measuring resilience based on space syntax theory and investigates resilience concepts through the relationships between space and society across various scales and time periods. …”
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Frequency-Aware Diffusion Model for Multi-Modal MRI Image Synthesis by Mingfeng Jiang, Peihang Jia, Xin Huang, Zihan Yuan, Dongsheng Ruan, Feng Liu, Ling Xia

“…While recent advances in diffusion models (DMs) show potential for high-quality image translation, existing methods still struggle to preserve fine structural details and ensure accurate image synthesis in medical imaging. …”
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Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data by Yihang Zhou, Ruige Kong, Zhengsen Xu, Linlin Xu, Sibo Cheng

“…However, the selection of deep learning methods for wildfire prediction remains uncertain due to the lack of comparative analysis in a quantitative and explainable manner, crucial for improving prevention measures and refining models. …”
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The power of leadership transforming nurses’ professional attitudes through the balance theory: a cross-sectional study by Siai Zhang, Chennong Liu, Cuiwei Lai, Bingyan Zhao, Chunmei Zhang, Yajun Zhang, Zhengtao Zhang, Jiajia Li, Sina Zhang, Tiane Fa

“…Methods A questionnaire survey was conducted using convenience sampling among 1,154 clinical nurses from 11 hospitals in Tianjin, China. …”
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DTASUnet: a local and global dual transformer with the attention supervision U-network for brain tumor segmentation by Bo Ma, Qian Sun, Ze Ma, Baosheng Li, Qiang Cao, Yungang Wang, Gang Yu

“…First, we built a pyramid hierarchical encoder based on 3D shift local and global transformers to effectively extract the features and relationships of different tumor regions. …”
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A Real-Time Vision Transformers-Based System for Enhanced Driver Drowsiness Detection and Vehicle Safety by Anwar Jarndal, Hissam Tawfik, Ali I. Siam, Imad Alsyouf, Ali Cheaitou

“…We demonstrate that the proposed Vision Transformers-based Driver Drowsiness Detection (ViT-DDD) system surpasses existing state-of-the-art methods, particularly in challenging scenarios such as drivers wearing glasses or sunglasses, or in different lighting conditions. …”
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Research on Abnormal State Detection of CZ Silicon Single Crystal Based on Multimodal Fusion by Lei Jiang, Haotan Wei, Ding Liu

“…These images are then processed using a Dense-ECA-SwinTransformer network for feature extraction. Concurrently, meniscus images and inter-frame difference images are obtained from the growth system’s meniscus video feed. …”
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Volatilomics Profiling of Counterfeit Perfume by Gas Chromatography Hyphenated to Mass Spectrometry and Fourier-Transformed Infrared Spectroscopy by Siti Nurul Hidayah, Artania Adnin Tri Suma, Endang Lukitaningsih

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