Effect of Different Hormones Concentration on In vitro Regeneration of Apricot Cultivars by Muzaffer İpek, Şeyma Arıkan, Ahmet Eşitken, Servet Aras

“…Apricot stands out as a stubborn species among Prunus types for shoot regeneration and genetic transformation. In this context, this study aims to determine how different plant growth regulators affect shoot regeneration of some native apricot varieties, which hold significant importance in apricot cultivation in our country. …”
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Levels of angiogenesis markers in patients with different heart failure phenotypes by R. N. Shepel, O. M. Drapkina

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MAS-PD: Transferable Adversarial Attack Against Vision-Transformers-Based SAR Image Classification Task by Boshi Zheng, Jiabin Liu, Yunjie Li, Yan Li, Zhen Qin

“…By skipping the attention gradient during backpropagation and using momentum to avoid local maxima during gradient ascent, our method enhances the transferability of adversarial attacks across different models. …”
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Performance of Mathematical Indices in Transformer Condition Monitoring Using k-NN Based Frequency Response Analysis by Mehdi Bigdeli

“…This paper proposes a k-nearest neighbor (k-NN) based method for condition monitoring of the transformers, using the results of FRA measurements. …”
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Steganography in Audio Using Wavelet and DES by Baghdad Science Journal

“…In this paper, method of steganography in Audio is introduced for hiding secret data in audio media file (WAV). …”
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Full Information Numerical Simulation of Two-Dimensional Steady Ground Temperature Field by Fan Jiang, Shikun Dai, Ying Zhang, Hongjun Tian

“…The background field is a uniform layered medium, and the anomalous field is converted into one-dimensional ordinary differential equations under different wavenumbers via one-dimensional full information Fourier transform. …”
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TS-Resformer: a model based on multimodal fusion for the classification of music signals by Yilin Zhang

“…Then, to further improve the classification accuracy of the model, we propose the TS-Resformer model based on the Res-Transformer model, combined with different attention mechanisms, and design the time-frequency attention mechanism, which employs different scales of filters to fully extract the low-level music features from the two dimensions of time and frequency as the input to the time-frequency attention mechanism, respectively. …”
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MedFusion-TransNet: multi-modal fusion via transformer for enhanced medical image segmentation by Jianfei Sun

“…IntroductionMedical image segmentation is essential for analyzing medical data, improving diagnostics, treatment planning, and research. However, current methods struggle with different imaging types, poor generalization, and rare structure detection.MethodsTo address these issues, we propose MedFusion-TransNet, a novel multi-modal fusion approach utilizing transformer-based architectures. …”
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Equivalent Modeling of Temperature Field for Amorphous Alloy 3D Wound Core Transformer for New Energy by Jianwei Han, Xiaolin Hou, Xinglong Yao, Yunfei Yan, Zonghan Dai, Xiaohui Wang, Peng Zhao, Pengzhe Zhuang, Zhanyang Yu

“…Finally, a 50 kVA amorphous alloy winding-core transformer is tested on different prototypes to verify the effectiveness of the proposed method.…”
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Interpolation Methods for Stochastic Processes Spaces by E. Nursultanov, T. Aubakirov

“…New interpolation theorems and boundedness of some transforms of stochastic processes are proved. Interpolation method for generously monotonous processes is entered. …”
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Improved EEG-Based Emotion Classification via Stockwell Entropy and CSP Integration by Yuan Lu, Jingying Chen

“…This study applies differential entropy to a time-frequency domain that is decomposed by Stockwell transform, proposing a novel EEG emotion recognition method combining Stockwell entropy and a common spatial pattern (CSP). …”
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Integrating encryption and watermarking for enhanced information transmission security by Hadi Nazari, Mahmoud Mahlouji Bidgoli, Hossein Ghasvari

“…This watermarking process involves a clever two-step transformation. First, the color image is converted into a different color space using the Triangle Vertex Transform (TVT). …”
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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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DMOIT: denoised multi-omics integration approach based on transformer multi-head self-attention mechanism by Zhe Liu, Taesung Park, Taesung Park

“…However, effectively integrating and analyzing multi-omics data remains challenging due to their heterogeneity and high dimensionality. Existing methods often struggle with noise, redundant features, and the complex interactions between different omics layers, leading to suboptimal performance. …”
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Remaining Useful Life Prediction for Rolling Bearings Based on TCN–Transformer Networks Using Vibration Signals by Xiaochao Jin, Yaping Ji, Shiteng Li, Kailang Lv, Jianzheng Xu, Haonan Jiang, Shengnan Fu

“…In addition, a new RUL prediction method, TCN–Transformer, is developed which can efficiently learn and integrate local and global features of vibration signals, addressing the long time series prediction problem in RUL prediction. …”
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Segmented Frequency-Domain Correlation Prediction Model for Long-Term Time Series Forecasting Using Transformer by Haozhuo Tong, Lingyun Kong, Jie Liu, Shiyan Gao, Yilu Xu, Yuezhe Chen

“…Nevertheless, most existing methods rely on point-by-point self-attention mechanisms or employ transformations, decompositions, and reconstructions of the entire sequence to capture dependencies. …”
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Lithium-Ion Battery State of Health Estimation Based on Feature Reconstruction and Transformer-GRU Parallel Architecture by Bing Chen, Yongjun Zhang, Jinsong Wu, Hongyuan Yuan, Fang Guo

“…This study proposes a method for estimating the state of health of lithium-ion batteries based on feature reconstruction and Transformer-GRU parallel architecture to solve the problems of noisy feature data and the poor applicability of a single model to different types and operating conditions of batteries. …”
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A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition by Zahra Sharifzadeh Jafari, Sanaz Seyedin

“…We have evaluated our proposed method on the RAVDESS SER dataset in different terms of accuracy, precision, recall, and f1-score. …”
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Influence of Transformation Coefficient of Refrigerating Machine on Exergetic Efficiency of Air Conditioning System of Operating Clean Rooms by Volodymyr Labay, Kyrylo Andreiko

“…Exergetic method is a universal way of thermodynamic research of various processes of energy transformation in energy technological systems, to which air conditioning system for clean room belongs. …”
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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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