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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Analytic solutions of the time-fractional Boiti-Leon-Manna-Pempinelli equation via novel transformation technique by Bushra Yasmeen, Khalil Ahmad, Ali Akgül, Qasem Al-Mdallal

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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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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

“…Multi-modal MRI, which combines images from different modalities, enhances diagnostic accuracy by offering comprehensive tissue characterization. …”
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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

“…Through detailed quantitative comparison analysis, we discovered that Transformer‐based Swin‐UNet and UNet generally outperform Autoencoder and ResNet, particularly due to the advanced attention mechanisms in Transformer‐based Swin‐UNet and the efficient use of skip connections in both UNet and Transformer‐based Swin‐UNet, which contribute to superior predictive accuracy and model interpretability. …”
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Diagnostic Test of Transforming Growth Factor-Beta 1 (TGF-β1) in Menstrual Blood with Endometriosis by Kemas Yusuf Effendi, Excellena Nasrul, Iskandar Zulqarnain, null Theodorus, Rizani Amran, Heriyadi Manan, Adnan Abadi, Fatimah Usman, Cindy Kesty

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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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Microbial transformation of sewage sludge to biolipid-based fuel using potential oleaginous bacteria Streptomyces sp. by Sana Akbar, Muzammil Anjum, Samia Qadeer, Rab Nawaz, Zepeng Rao, Zepeng Rao, Habib Ullah, Abdulaziz Alamri, Mohamed A. El-Tayeb

“…IntroductionThe high proportion of sludge generation worldwide has sparked interest in utilizing it for alternative purposes. Among different potential applications, using sludge as a substrate for oleaginous bacteria is a relatively novel approach. …”
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Comprehensive bioinformatics analysis of malignant transformation and potential therapeutic possibility of lung adenocarcinoma after lipopolysaccharide induction by Wanjie Xu, Wanjie Xu, Jing Zhang, Xinyu Zhang, Xue Wang, Yiluo Xie, Shengping Min, Shengping Min, Xiaojing Wang, Xiaojing Wang, Chaoqun Lian

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Transforming Health and Reducing Perinatal Anxiety Through Virtual Engagement: Protocol for a Randomized Controlled Trial by Carolyn Ponting, Rebecca J Baer, Kacie Blackman, Bridgette Blebu, Jennifer N Felder, Scott Oltman, Karen M Tabb, Laura Jelliffe Pawlowski

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Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…This cross-dataset adaptation leverages transfer learning to enhance the model’s generalization across different emotional states and EEG datasets. Experimental results show that the proposed approach outperforms traditional methods, achieving superior accuracy and robustness in emotion recognition tasks. …”
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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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Digital transformation of care for keratoconus patients: ML modeling structural outcomes of corneal collagen cross-linking by Yauhen Statsenko, Yauhen Statsenko, Yauhen Statsenko, Darya Smetanina, Roman Voitetskii, Gillian Lylian Simiyu, Mikalai Pazniak, Elena Likhorad, Aleh Pazniak, Pavel Beliakouski, Dmitri Abelski, Fatima Ismail, Klaus Neidl-Van Gorkom, Milos Ljubisavljevic, Milos Ljubisavljevic

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FREQUENCIES OF POLYMORPHISMS IN THE CYTOCHROME’S P450 GENES OF WARFARIN TRANSFORMATION IN A EUROPEAN POPULATION OF EASTERN SIBERIA by T. A. Bairova, E. A. Novikova, F. I. Belyalov, E. A. Shchedreeva, K. D. Ievleva, O. V. Kalyuzhnaya, O. A. Ershova, V. G. Pustozerov, O. A. Kovaleva, I. V. Rasputina, I. A. Noskova, T. V. Batogova, O. V. Kuznetsova, O. Yu. Bogoslova, S. I. Kolesnikov

“…Frequencies of polymorphisms in the Cytochrome’s p450 genes of warfarin transformation in a European population of Eastern Siberia have no differences with other European populations of the world…”
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