Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Additionally, the model introduces a multi-stage Hybrid Transformer structure, which processes features at different resolutions progressively, from low resolution to high resolution, substantially enhancing reconstruction quality and detail recovery. …”
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ATM: Adaptive transformer model for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery by Zhi-peng Qi, Zi-yi Zhao, Xing Jin

“…However, the observation sequence contain complex and diverse information, it is difficult for the conventional method to characterize this information. To address this issue, we perform an adaptive transformer model (ATM) for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery. …”
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Identifying transformative decisions: A dual approach to adaptation pathways design using forward-exploration and backcasting by Noor ten Harmsen van der Beek, Renske de Winter, Esther van Baaren, Ferdinand Diermanse, Arno Nolte, Marjolijn Haasnoot

“…Following the traditional DAPP approach, we explore alternative sequences of adaptation measures to continue to achieve objectives under changing conditions. New to the method is the backcasting of critical implementation paths from different envisioned future states, including changes in land use. …”
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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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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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Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design by Qiuling Tao, Xintong Yang, Longke Bao, Yuexin Zhou, Tao Yang, Yilu Zhao, Rongpei Shi, Zhifu Yao, Xingjun Liu

“…Then, the Shapley additive explanation method is used to extract knowledge from the models and transform them into understandable material insights. …”
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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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Exploring the Transformation in Cognition, Emotion, and Behavior among Stakeholders in Artificial Intelligence Large Models Healthcare Applications by Hanwei LI, Mengyuan LI

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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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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…The results of 188 indicators were distributed in the form of a 5-point Likert questionnaire and by Delphi method in two times among 18 experts in this field. …”
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Mechanism of inhibiting renal tubular epithelial cell transformation by silencing dendritic cell CRR7 receptor by Gao Ting-ting, Hao Xiu-ying, Wu Xiao-meng, Lu Ting, Ma Ying-huan

“…Objective To explore the effect of interfering with the maturation of dendritic cell by CCR7 silencing on transformation of renal tubular epithelial cells and its mechanism.Methods After 48 h transfecting siRNA-NC and siRNA-CCR7 in DC2.4 cells, intracellular level of CCR7 protein was detected for evaluating the effect of interference.The supernatant of DCs from siRNA-CCR7 and siRNA-NC groups was collected and the levels of MCP-1,MIP-1 a and TGF-β1 in supernatant were detected by enzyme-linked immunosorbent assay（ELISA）.The expression and distribution of E-Cadherin, TGF-β1,a-SMA and vimentin in HK-2 cells in induced medium were detected by Western blot and immunofluorescence after 48 h.Results The levels of MCP-1 and TGF-β1 in DC supernatant rose markedly in silent Group（P<0.05）,but not MIP-1α（P<0.05）.The expressions of TGF-β1,vimentin and a-SMA decreased significantly in SiRNA-CCR7 + HK-2 group and the expression of E-Ca protein was markedly up-regulated as compared with that in negative control group.And the difference was statistically significant（P<0.05）.As compared with negative control group, the expression and distribution of TGF-β1,vimentin and a-SMA declined in siRNA-CCR7 + HK-2 group while the expression and distribution of E-Ca protein spiked（P<0.05）.Conclusions Mature DCs can promote the development of EMT,silence CCR7,interfere with the maturation of DCs and block the epithelial-mesenchymal transition of HK-2 cells.It is probably related with the differential content of MCP-1 and MIP-1α in supernatant.…”
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A SWIN-based vision transformer for high-fidelity and high-speed imaging experiments at light sources by Songyuan Tang, Tekin Bicer, Kamel Fezzaa, Samuel Clark

“…These high data acquisition rates are often prone to noisy measurements, or in the case of slower (but less noisy) rates, the loss of scientifically significant phenomena.MethodsWe develop a Shifted Window (SWIN)-based vision transformer to reconstruct high-resolution x-ray image sequences with high fidelity and at a high frame rate and evaluate the underlying algorithmic framework on a high-performance computing (HPC) system. …”
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Enhancing Students’ Conjecturing Skills Through RBL-STEM with Antimagic Coloring and Geometric Transformation in Batik Design by . Susanto, Arika I. Kristiana, . Dafik, Arif Fatahillah, M. Venkatachalam, Duhsyant Tanna

“…This research aims to enhance students’ conjecturing thinking skills by implementing RBL-STEM using the (a,d)-edge antimagic coloring technique and geometric transformation to develop Batik motifs. A mixed methods approach was used, combining quantitative and qualitative analyses. …”
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PECULIARITIES OF FORMING AN ENTERPRISE RISK MANAGEMENT SYSTEM IN THE CONTEXT OF MODERN TRANSFORMATIONS: THE EXPERIENCE OF EUROPEAN COUNTRIES AND UKRAINE by Maryna Dielini, Marja Nesterova, Wang Yi

“…The objective of this research is to analyse and study the prerequisites and features of the formation of the enterprise risk management system under the conditions of modern transformations in the EU countries and Ukraine. Research methods: analysis, synthesis, extrapolation, generalisation, graphic, dynamics analysis, content analysis, etc. …”
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Assessment of Appearance-related Questions About Breast Reconstruction Generated by Chat Generative Pre-trained Transformer by Xiomara T. Gonzalez, MSE, Margaret S. Roubaud, MD, Mark V. Schaverien, MD, Rene D. Largo, MD, Christopher S. Parham, MD, Ashleigh M. Francis, MD, Tzuan A. Chen, PhD, Aubri S. Hoffman, PhD, Ryan M. Dickey, MD, Mia K. Markey, PhD, Gregory P. Reece, MD

“…Previous studies have explored the ability of artificial intelligence (AI) tools based on large language models, such as Chat Generative Pre-Trained Transformer (ChatGPT), to answer patient questions about breast reconstruction. …”
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ProDesign Logic Files Effect on Apical Foramen Wear and Shape Transformation After Foraminal Enlargement by Miguel Christian Castillo Marin, Amjad Abu Hasna, Marcos Frozoni, Mariana Gadelho Gimenez Diamantino, Caroline Trefiglio Rocha, Marcia Carneiro Valera, Cláudio Antonio Talge Carvalho

“…Background/Objectives: This study aimed to evaluate the effect of ProDesign Logic files 45.01 and 50.01 on apical foramen wear and shape transformation after foraminal enlargement at tooth length (TL) and 1 mm beyond. …”
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Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis by T. Touil, F. Huot, S. Claveau, A. Bunel, D. Warner, D.E. Santschi, R. Gervais, É.R. Paquet

“…The aim of this study was to predict rpH and SARA separately using different machine learning (ML) models applied to Fourier-transform infrared spectroscopy (FTIR) spectra obtained from routine DHI milk analysis of individual cows. …”
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