Selected methods of pathological speech signal analysis by W. WSZOŁEK

“…Selected results of examinations, having been performed by the author for several years, concerning the evaluation of selected methods of transforming signal in analysis tasks and pathological speech evaluation usability were presented in the article. …”
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…In vision, attention is used in conjunction with convolutional networks or to replace individual convolutional network elements while preserving the overall network design. Differences between the two domains, such as significant variations in the scale of visual things and the higher granularity of pixels in images compared to words in the text, make it difficult to transfer Transformer from language to vision. …”
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Impact of Adding Fast Switching Fault Current Limiter (FSFCL) to the Neutral Point of 220 kV Transformer by Lujian Dai, Jun Zhao, Meng Guo, Shuguo Gao, Chenmeng Xiang, Bin Wei, Weiqi Qin, Guoming Ma, Yuan Tian

“…The paper first analyzes the current-limiting performance of the FSFCL under different installation configurations, transformer operating conditions, and fault conditions through theoretical calculations. …”
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Expression of gus and gfp genes in amphidiploid spelt wheat (Triticum spelta L.) after Agrobacterium-mediated transformation by А. В. Кирієнко, М. В. Кучук, Н. Л. Щербак, М. Ф. Парій, Ю. В. Симоненко

“…The use of vacuum infiltration and inoculation methods for spelt genetic transformation gave different results. …”
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A Low-Complexity Transformer-CNN Hybrid Model Combining Dynamic Attention for Remote Sensing Image Compression by L. L. Zhang，X. J. Wang，J. H. Liu, Q. Z. Fang

“…However, conventional CNN is complex to adaptively capture important information from different image regions. In addition, previous transformer-based compression methods have introduced high computational complexity to the models. …”
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The Optimization of Mechanical Phase-Shifting Transformer Tap Positions Based on an Open-Loop and Closed-Loop Hybrid Strategy by Jinjiao Lin, Jingyan Du, Shi Chen, Xinying Wang, Haodong Long, Chuyang Wang

“…Phase-shifting transformers play a crucial role in power grid stability and efficiency. …”
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Semantic Transformations of Word <i>bomb</i> and Its Derivatives as a Reflection of Shifts in the Linguistic Picture of World by E. A. Kitanina, D. S. Trukhanova

“…Cases of transformation of the connotative halo of the words under consideration are noted. …”
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GOAT: a novel global-local optimized graph transformer framework for predicting student performance in collaborative learning by Tianhao Peng, Qiang Yue, Yu Liang, Jian Ren, Jie Luo, Haitao Yuan, Wenjun Wu

“…A global-local optimization module is introduced to model intricate relationships within and between teams, highlighting commonalities and differences among team members. Our framework is backed by theoretical analysis and validated through extensive experiments on real-world datasets, which demonstrate its superiority over existing methods.…”
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Modelling and analysis of transformers considering ultra‐wide band frequency‐dependent parameters for high altitude electromagnetic pulse by Han Wu, Nan Zhang, Jinhua Du, Junna Li, Shuai Dong, Zitao Lv

“…The proposed MTL model is solved by the finite‐difference time‐domain algorithm and verified by the finite element method and experiment. …”
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Transforming a Cantilever with Fixed Joints into Trussed Configurations: A Case Study in Creative Design Thinking & Prototyping by Filz Günther H., Eberle Robert, Nagl Pia V., Weinold Thomas

“…In this study, a Y-shaped, polyhedral cantilever with fixed joints was transformed into five different trussed configurations using universal joints. …”
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The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer by Leilei Xie, Fenghua Zhu, Zhixue Wang

“…Traditional spatial pyramid pooling methods fuse multi-scale feature information but lack adaptability in dynamically adjusting convolution operations based on their actual needs. …”
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Temporal change of urea biochemical transformations and temperature sensitivity of ammonia volatilization in soil textural classes in the brazilian Cerrado by Mateus Henrique dos Santos Diniz, Fernando César Ferreira, Adão de Siqueira Ferreira

“…IntroductionSoil biochemical transformation of urea has important impacts on nitrogen (N) use efficiency in agricultural systems and environmental pollution, mainly due to N losses through ammonia volatilization (AV).MethodsThe present study aimed to evaluate and model the biochemical transformation of urea and ammonia volatilization in response to different urea doses and temperature conditions over time in sandy loam (SL) and sandy clay loam (SCL) soils in the Brazilian Cerrado. …”
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Abstract 256: Proposal of multimodal CT‐based scoring system in prediction of hemorrhagic transformation in acute ischemic stroke by Nada Elsaid

“…Conclusion Multimodal CT‐based scoring system may provide highly reliable predictive model of hemorrhagic transformation in acute ischemic stroke.…”
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LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation. by Ming Li, Jingang Ma, Jing Zhao

“…This network adopts a large-kernel depthwise convolution attention mechanism to simulate the self-attention mechanism of Transformers. Firstly, inspired by the Swin Transformer module, we investigate different-sized large-kernel convolution attention mechanisms to obtain larger global receptive fields, and replace the MLP in the Swin Transformer with the Inverted Bottleneck with Depthwise Convolutional Augmentation to reduce channel redundancy and enhance feature expression and segmentation performance. …”
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Transformation of nutrients and heavy metals during vermicomposting of the invasive green weed Salvinia natans using Eisenia fetida by W. Roshan Singh, Ajay S. Kalamdhad

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Multi-stream feature fusion of vision transformer and CNN for precise epileptic seizure detection from EEG signals by Qi Li, Wei Cao, Anyuan Zhang

“…Methods Our study proposes an epilepsy detection model, CMFViT, based on a Multi-Stream Feature Fusion (MSFF) strategy that fuses a Convolutional Neural Network (CNN) with a Vision Transformer (ViT). …”
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Transforming care: a study on physicians’ awareness, attitudes, and barriers to pressure injury prevention in medical wards in Jordan by Enas A. Assaf, Enas A. Assaf, Rahaf Alkhresheh, Haleama Al Sabbah, Hekmat Al-Akash

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HNF-DDA: subgraph contrastive-driven transformer-style heterogeneous network embedding for drug–disease association prediction by Yifan Shang, Zixu Wang, Yangyang Chen, Xinyu Yang, Zhonghao Ren, Xiangxiang Zeng, Lei Xu

“…Experimental results on two benchmark datasets demonstrate that HNF-DDA outperforms several state-of-the-art methods. Additionally, it shows superior performance across different dataset splitting schemes, indicating HNF-DDA’s capability to generalize to novel drug and disease categories. …”
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Determination of Salivary CD44 as a Noninvasive Diagnostic Biomarker to Predict Malignant Transformation of Oral Submucous Fibrosis by Rajalakshmi Rakshanaa, Nalini Aswath, Vijayalakshmi Ramshankar, Soundarya Ravindran, K. Mehanathan

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High-Impedance Fault Detection in DC Microgrid Lines Using Open-Set Recognition by Ivan Grcić, Hrvoje Pandžić

“…Various methods have been proposed to exploit fault response waveforms for detecting high-impedance faults, including those based on deep discriminative intelligent classification. …”
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