Expression analysis of transforming growth factor beta (TGF-β) in oral squamous cell carcinoma by Arun Ganesh, P.P. Ashikha Shirin Usman, Ameya K.P., Priya Thomas, Dhanraj M. Ganapathy, Durairaj Sekar

“…Although much progress has been made to control OSCC in recent years, therapies for OSCC remain challenging. Interestingly, transforming growth factor β (TGF-β) plays an important role in the extracellular microenvironment and different cellular processes like migration, proliferation, etc. …”
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Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction by Sumin Ha, Dongmin Bang, Sun Kim

“…For variability of substructures, we used three fragmentation methods such as BRICS, Bemis-Murcko scaffolds, and RDKit Functional Groups to formulate fragment-level graphs so that diverse substructures can be used to identify toxicity for different organs. …”
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3DVT: Hyperspectral Image Classification Using 3D Dilated Convolution and Mean Transformer by Xinling Su, Jingbo Shao

“…Additionally, the proposed method holds promise for the classification of fiber laser spectra, where high precision and spectral analysis are crucial for distinguishing between different fiber laser characteristics. …”
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Diverse redox-mediated transformations to realize the para-quinoid, σ-bond, and ortho-diphenoquinoid forms by Takashi Harimoto, Moto Kikuchi, Takanori Suzuki, Yusuke Ishigaki

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Internal Energy Balancing Control of a Modular Multilevel Converter as Part of a Hybrid Transformer by Rui Wang, Maurice G. L. Roes, Henk Huisman, Cornelis G.E. Wijnands

“…The output voltages of the MMC have equal frequency and equal phase angles, but different amplitudes in this application. In this paper it is shown that these two features result in steady-state control errors and variable control loop gains when a conventional MMC internal energy balancing method is applied. …”
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Photodegradation of Diquat in water under UV irradiation: Identification of transformation products and elucidation of photodegradation pathway by Fangyuan Wang, Bo Tao

“…The initial concentration of Diquat and the pH value of the water environment significantly affected the half-life of photodegradation of Diquat, and the opposite was true for different types of water. The photodegradation transformation products (PTPs) formed by the photodegradation of Diquat in an aqueous solution under UV-Vis irradiation were separated and identified using ultra-high-performance liquid chromatography coupled with time-of-fight mass spectrometry (UPLC-QTOF-MS). …”
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Modeling and Simulation of Internal Incipient Faults in Electrical Transformers Using a Bond Graph Approach by Arthur Cleary-Balderas, Gilberto Gonzalez-Avalos, Gerardo Ayala-Jaimes, Aaron Padilla Garcia

“…The steady-state responses of the faulted transformer models using a bond graph approach are presented, leading to the proposal of a method for fault analysis in transformers with DC supply sources. …”
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Digital transformation and corporate ESG performance: Research based on a capability-motivation dual framework. by Cuicui Huang

“…This study systematically examines the impact mechanism and heterogeneous characteristics of digital transformation (DT) on corporate environmental, social, and governance (ESG) performance, using panel data from Chinese A-share listed companies from 2010-2022. …”
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Medical Image Retrieval Based on Ensemble Learning using Convolutional Neural Networks and Vision Transformers by Ahmed Yahya, Dalya Khaled, Waleed Al-Azzawi, Tawfeeq Alghazali, H. Sabah Jabr, R. Madhat Abdulla, M. Kadhim Abbas Al-Maeeni, N. Hussin Alwan, S. Saad Najeeb, Kh. T. Falih

“…Our method is trained to encode the images in the database and outputs a ranking list containing the most similar image to the least similar one to the query. …”
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High‐frequency content within the QRS complex can predict ventricular tachyarrhythmias in hypertrophic cardiomyopathy by Takeshi Tsutsumi, Jun Yokomachi, Takafumi Nakajima, Kentaro Minami, Nami Takano, Kuniaki Iwasawa, Gaku Oguri, Shigeru Toyoda, Toshiaki Nakajima

“…Abstract Introduction Frequency analysis of the electrocardiographic QRS complex (QRS) was performed to evaluate the abnormal ventricular excitation in hypertrophic cardiomyopathy (HCM), from which we validated a risk stratification for lethal ventricular arrhythmias (L‐VAs). Methods We selected 32 patients with HCM and 60 control subjects from a population of 520 consecutive patients with syncopal seizures in a university hospital. …”
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Transformation of water use in tianjing areas in residential houses following the installation of piped water systems by Yanhan Wu, Satoshi Boda, Shin-Ya Nishimura, Yingqing Fei, Wenhao Ji

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HDCTfusion: Hybrid Dual-Branch Network Based on CNN and Transformer for Infrared and Visible Image Fusion by Wenqing Wang, Lingzhou Li, Yifei Yang, Han Liu, Runyuan Guo

“…The effectiveness of the proposed method in this paper is verified on different experimental datasets, and it is better than most of the current advanced fusion algorithms.…”
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Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes by P. J. Soto Vega, D. Lobo Torres, G. X. Andrade-Miranda, G. A. O. P. da Costa, R. Q. Feitosa

“…This study compares DL methods for deforestation detection, focusing on assessing how well CNNs and ViTs can adapt to the domain shift. …”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…The experimental results show that SA-Fit is comparable to other advanced deep learning prediction methods in overall prediction performance. SA-Fit shortens training time and significantly reduces model parameters while using the Transformer structure to ensure prediction accuracy.…”
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A deep learning approach to stress recognition through multimodal physiological signal image transformation by Shiqi Yang, Yuan Gao, Yao Zhu, Li Zhang, Qinlan Xie, Xuesong Lu, Fang Wang, Zhushanying Zhang

“…Physiological signal-based stress assessment offers greater accuracy and objectivity compared to traditional methods. To enhance stress level detection, we propose a novel approach using deep learning models that classify mental stress states (stress, baseline, amusement) based on multimodal physiological signals converted into RGB images through Gramian Summation Angular Field (GASF), Gramian Difference Angular Field (GADF), and Markov Transition Field (MTF) transformations. …”
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A novel multimodel medical image fusion framework with edge enhancement and cross-scale transformer by Fei Luo, Daoqi Wu, Luis Rojas Pino, Weichao Ding

“…However, existing MMIF methods often struggle to preserve sharp edges and maintain high contrast, both of which are critical for accurate diagnosis and treatment planning. …”
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Improving Circulating Tumor Cell Detection Using Image Synthesis and Transformer Models in Cancer Diagnostics by Shuang Liang, Xue Bai, Yu Gu

“…This study proposes a data generation method using the Segment Anything Model (SAM) combined with a copy–paste strategy. …”
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Transformational leadership, co-worker support, engagement and motivation at institutions of higher learning in Windhoek, Namibia by Utjiua Ndjoonduezu, Annelisa Murangi

“…Research approach/design and method: Data were collected from 106 academic staff from various institutions of higher education in Windhoek using a purposive sampling technique. …”
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TransC-GD-CD: Transformer-Based Conditional Generative Diffusion Change Detection Model by Yihan Wen, Zhuo Zhang, Qi Cao, Guanchong Niu

“…The current CD methods rely heavily on pure CNNs and transformers, which employ only single-pass forward propagation. …”
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Enhancing Single-Cell and Bulk Hi-C Data Using a Generative Transformer Model by Ruoying Gao, Thomas N. Ferraro, Liang Chen, Shaoqiang Zhang, Yong Chen

“…Furthermore, when applied to scHi-C data from five human cell lines, it significantly improved clustering performance, outperforming five widely used methods. The adaptability of HiCENT across different datasets and its capacity to improve the quality of chromatin interaction data will facilitate diverse downstream computational analyses in 3D genome research, single-cell studies and other large-scale omics investigations.…”
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