Recurrent goitrous transformation and postoperative hypothyroidism — the arguments to execution of organ-preserving thyroid sergery by A. N. Galyan, O. S. Popov, V. I. Tikhonov, V. D. Zavadovskaya, S. N. Gasparyan, V. V. Udut

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MLK-TR: a Multi-branch Large Kernel TRansformer for UAV-based images by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Jianjing Gao, Baoxi Yuan

“…To address this, this paper proposes a Multi-branch Large-Kernel TRansformer network (MLK-TR) for small target detection in UAV scenarios. …”
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Pathways of Adaptation to Climate Change: Analysis and Transformation of the Governance System of the Ardennes Mountain Area by Jon Marco Church

“…In this article, we are particularly interested in the Ardennes governance system. We first use transformational sustainability research methods through a methodological framework that combines different methods. …”
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From Page to Screen: The Plot Transformation of Roald Dahl's Matilda into Matthew Warchus's Movie by Dina Dyah Kusumayanti, Ferina Windi Setiani, Yanuaresti Kusuma Wardhani

“…The transformation from written text to audio-visual media involves changes such as subtractions and additions, which are influenced by the differences in the mediums of expression. …”
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Estimating a Finite Population Mean Using Transformed Data in Presence of Random Nonresponse by Nelson Kiprono Bii, Christopher Ouma Onyango, John Odhiambo

“…To compensate for random nonresponse, imputation methods have been proposed by various researchers. …”
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TEA-GCN: Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Forecasting by Xiaxia He, Wenhui Zhang, Xiaoyu Li, Xiaodan Zhang

“…Traditional spatial-temporal graph modeling methods often rely on fixed road network structures, failing to account for the dynamic spatial correlations that vary over time. …”
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A Comparison of "Girls’ Education" in the Discourse of the Supreme Leader and the Fundamental Transformation Document of Education by Mohammadali Mlipoor

“…Employing a descriptive-analytical method, the findings reveal that the treatment of girls’ education in the Fundamental Transformation Document is vague. …”
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Red Wine Age Estimation by the Alteration of Its Color Parameters: Fourier Transform Infrared Spectroscopy as a Tool to Monitor Wine Maturation Time by M. Basalekou, C. Pappas, Y. Kotseridis, P. A. Tarantilis, E. Kontaxakis, S. Kallithraka

“…Color, phenolic content, and chemical age values of red wines made from Cretan grape varieties (Kotsifali, Mandilari) were evaluated over nine months of maturation in different containers for two vintages. The wines differed greatly on their anthocyanin profiles. …”
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The effects of digital transformation on corporate energy efficiency: a supply chain spillover perspective by Fangfang Song

“…IntroductionAs a new enterprise development model, digitalization is an important driver for improving energy efficiency and can provide carbon reduction services across the entire chain.MethodsIn this study, we utilize the panel data of relevant listed firms from 2009 to 2022 to investigate the causal impact of digital transformation on corporate energy efficiency at each node of the supply chain and discuss the moderating effects of digital finance and public environmental concern.ResultsThe empirical results indicate that digital transformation can enhance corporate energy efficiency, and has a forward spillover efficiency-enhancing effect. …”
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Identification of Environmental Noise Traces in Seismic Recordings Using Vision Transformer and Mel-Spectrogram by Qianlong Ding, Shuangquan Chen, Jinsong Shen, Borui Wang

“…We then employ a Vision Transformer (ViT) network to train a model for identifying noise in seismic data. …”
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Sustainable industrial transformation through entrepreneurial ecosystem governance: The case of Polish energy clusters by Marta Gancarczyk, Damian Tomczyk, Jacek Gancarczyk

“…Findings: We identified governance characteristics associated with the different levels of sustainable energy industrial transformation (SEIT). …”
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Edge-aware transformer for coastal raft aquaculture extraction in optical remote sensing imagery by Hua Su, Yuxin Liu, Zhanchao Huang, An Wang, Wenjun Hong, Junchao Cai

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Design concept and phase transformation study of advanced bainitic-austenitic medium-Mn steel by Anna Wojtacha, Aleksandra Kozłowska, Adam Skowronek, Oguz Gulbay, Jarosław Opara, Alexander Gramlich, Krzysztof Matus

“…The quantitative analysis of individual microstructural constituents is performed based on the differences in diffraction pattern quality using the deep learning (DL) evaluation method and compared with the results of X-ray diffraction (XRD) measurements. …”
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FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion by Rumei Li, Liyan Zhang, Zun Wang, Xiaojuan Li

“…The fusion of low-resolution hyperspectral images (LR-HSI) with high-resolution multispectral images (HR-MSI) provides a cost-effective approach to obtaining high-resolution hyperspectral images (HR-HSI). Existing methods primarily based on convolutional neural networks (CNNs) struggle to capture global features and do not adequately address the significant scale and spectral resolution differences between LR-HSI and HR-MSI. …”
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Transforming electronic waste into sustainable building materials for a cleaner environment: a review by M. Vishnu Priyan, Durga Prasad Ravella, George Uwadiegwu Alaneme

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Navigating dual frontlines: transforming clinical urgency and academic excellence through distributed leadership by Mingyan Shen, Zhixian Feng, Pengxia Wan, Fangchi Liu

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Utilizing TabPFN Transformer with IoT Environmental Data for Early Prediction of Grapevine Diseases by Nikolaos Arvanitis, Filippo Graziosi, Gina Athanasiou, Antonia Terpou, Olga Arvaniti, Theodore Zahariadis

“…This study presents a workflow in which IoT environmental sensors and machine learning methods are leveraged to accurately predict disease onset and allow for timely fungicide applications or other disease management strategies. …”
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Transformative education: Enhancing pharmacovigilance awareness among healthcare professionals through sensitization initiatives by Anita Kumari, Himani Prajapati

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TRANSFORMATION PROCESSES OF THE ASTYONYMS ON THE GEOGRAPHICAL MAP OF KAZAKHSTAN (LATE XIX - EARLY XXI CENTURIES) by T. I. Gerasimenko, D. Z. Iskaliyev

“…A new wave of transformation is one of the consequences of delimitation. …”
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AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder by Yunseung Lee, Pilsung Kang

“…Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images. Therefore, current image anomaly detection methods have commonly used convolutional encoder-decoders to extract normal information through the local features of images. …”
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