A State-of-Health Estimation Method of a Lithium-Ion Power Battery for Swapping Stations Based on a Transformer Framework by Yu Shi, Haicheng Xie, Xinhong Wang, Xiaoming Lu, Jing Wang, Xin Xu, Dingheng Wang, Siyan Chen

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What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view by Zongyuan Liu, Harcharanjit Singh Mahinder Singh, Fatema Al Shibli

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Corrigendum: PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

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SDRG-Net: Integrating multi-level color transformation encryption and ICNN-IRDO feature analysis for robust diabetic retinopathy diagnosis by Venkata Kotam Raju Poranki, B. Srinivasarao

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Comment une friche ferroviaire se transforme en quartier durable : Le quartier Écoparc à Neuchatel en Suisse by Federica Merzaghi, Malika Wyss

“…This article gives an account of the conceptual, interactional and institutional mechanisms that underlying the construction and the implementation of a project aiming to transform a fallow railway area into a sustainable neighborhood. …”
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A positive deviance approach to understand gender relations and practices that support transformative adaptation: Insights from Kenya dairy households by Renee Bullock, Tanaya DuttaGupta, Philip Miriti

“…Efforts to bolster resilience will require a concerted focus on social equity to foster transformative adaptation. We integrate a feminist lens in a positive deviance approach to better understand gender relations in dairy producing communities in Kenya. …”
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Evaluation of Chat Generative Pre-trained Transformer and Microsoft Copilot Performance on the American Society of Surgery of the Hand Self-Assessment Examinations by Taylor R. Rakauskas, BS, Antonio Da Costa, BS, Camberly Moriconi, BS, Gurnoor Gill, BA, Jeffrey W. Kwong, MD MS, Nicolas Lee, MD

“…Purpose: Artificial intelligence advancements have the potential to transform medical education and patient care. The increasing popularity of large language models has raised important questions regarding their accuracy and agreement with human users. …”
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...How the Sweet Stuff Transformed Our Politics, Health, and Environment over 2,000 Years ... by Martijn Lak

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Learning to Shape Transformation – How Individual Schools can be Supported in Implementing a Newly Developed ESD Curriculum with Training Concept by Lindau-Bank Detlev, Stein Margit

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Author Correction: Layer-by-layer phase transformation in Ti3O5 revealed by machine-learning molecular dynamics simulations by Mingfeng Liu, Jiantao Wang, Junwei Hu, Peitao Liu, Haiyang Niu, Xuexi Yan, Jiangxu Li, Haile Yan, Bo Yang, Yan Sun, Chunlin Chen, Georg Kresse, Liang Zuo, Xing-Qiu Chen

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Shifting from Normal to Abnormal: Transformation of Clinical Presentation of Post-Laparoscopic Roux-en-Y Gastric Bypass Surgery Complications by David Widjaja, Bhavna Balar

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Du keynésianisme au libertarianisme.La place de la monnaie dans les transformations du savoir économique autorisé by Bruno Théret

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How digital transformation can influence workflows, teaching practices and curricula in (bio)process science and engineering—An interview series with stakeholders by J. F. Buyel

“…Abstract A massive digital transformation is underway in biotechnology and process engineering fueled by recent advances in machine learning and so‐called artificial intelligence, especially in the large language model field (e.g., ChatGPT). …”
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Enhanced Brain Tumor MRI Classification Using Stationary Wavelet Transform, ResNet50V2, and LSTM Networks by Oussama Abda, Hilal NAIMI

“…The preprocessing includes Stationary Wavelet Transform (SWT) intended to enhance tumor-relevant features and resizing to standard MRI image dimensions; feature extraction includes. …”
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Empirical mode decomposition/Hilbert transform analysis of postural responses to small amplitude anterior-posterior sinusoidal translations of varying frequencies by Rakesh Pilkar, Erik M. Bollt, Charles Robinson

“…The Empirical Mode Decomposition (EMD) algorithm decomposes the Center of Pressure (CoP) data (5 young, 4 mature adults) into Intrinsic Mode Functions (IMFs). Hilbert transforms are applied to produce each IMF’s time-frequency spectrum. …”
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Methylation and Expression of Retinoblastoma and Transforming Growth Factor-β1 Genes in Epstein-Barr Virus-Associated and -Negative Gastric Carcinomas by Xia Liu, Xiuming Tang, Shaoyan Zhang, Yun Wang, Xiaofeng Wang, Chengquan Zhao, Bing Luo

“…Retinoblastoma (RB) and transforming growth factor-β1 (TGF-β1) are important tumor-related factors. …”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

“…Our inner architecture is a Transformer-based meta-predictor capable of capturing intricate temporal dependencies inherent in flood time series data. …”
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Validity Identification and Rectification of Water Surface Fast Fourier Transform-Based Space-Time Image Velocimetry (FFT-STIV) Results by Zhen Zhang, Lin Chen, Zhang Yuan, Ling Gao

“…Fast Fourier Transform-based Space-Time Image Velocimetry (FFT-STIV) has gained considerable attention due to its accuracy and efficiency. …”
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Flow cytometry study of DNA transformation dynamics in ВНК-21/SUSP/ARRIAH cell culture during rabies virus reproduction by M. N. Guseva, M. I. Doronin, M. A. Shevchenko, D. V. Mikhalishin, A. V. Borisov, Yu. S. El’kina, T. V. Okovytaya, V. М. Zakharov, V. V. Mikhalishin

“…The study examines the DNA transformation dynamics of ВНК-21/SUSP/ARRIAH subline cells during rabies virus reproduction. …”
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Retrieval of Atmospheric CO2 and CH4 Variations Using Ground-Based High Resolution Fourier Transform Infrared Spectra by Tian Yuan, Liu Cheng, Sun You Wen, Xie Pin Hua, Wang Wei, Liu Wen Qing, Liu Jian Guo, Li Ang, Hu Ren Zhi, Zeng Yi

“…High resolution Fourier transform near IR solar spectra are used to estimate the column-averaged dry-air mole fraction (DMF) of CO2 and CH4 variations in the atmosphere. …”
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