Theoretical-methodological differences diversifications and securities bank loan portfolio by O.V. Lysenok

“…The article examines the essence of diversification as the main method of managing the credit activity of domestic banks, using which takes into account the ability of the loan portfolio to reduce the possible risk, when it includes different characteristics and composition of loans. …”
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The Linear Stability of a Power-Law Liquid Film Flowing Down an Inclined Deformable Plane by Karim Ladjelate, Nadia Mehidi Bouam, Amar Djema, Abdelkader Belhenniche, Roman Chertovskih

“…To solve the linearized eigenvalue problem, the Riccati transformation method, which offers advantages over traditional techniques by avoiding the parasitic growth seen in the shooting method and eliminating the need for large-scale matrix eigenvalue computations, was used. …”
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Housing Prices in a Market Under Years of Constant Transformation: A County-Based Analysis of Istanbul by Meltem Ucal, Uğur Kaplan

“…Findings: The relationship between socioeconomic development levels and housing prices varies for counties under different urban transformation processes. …”
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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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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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Time-Frequency Transformation Technique with Various Mother Wavelets for DC Fault Analysis in HVDC Transmission Systems by Hasnain Raza chandio, Aslam Pervez Memon

“…Heavy current is generated by DC faults in HVDC (T/L), hence it is necessary to treat DC line faults in short, medium, and long HVDC (T/L) systems with different fault resistance. It is crucial to research fault detection methods based on time-frequency analysis by choosing appropriate algorithms using various (MW) methodologies for short, medium, and long HVDC transmissions at various fault resistances in order to protect the HVDC system. …”
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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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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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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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MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders by Shtwai Alsubai

“…Thus, this work proposes the multi-domain NeuroCognitive Transformer (MDNCT) suitable for different prediction tasks on different datasets. …”
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Enhancing PEEK bond strength: the impact of chemical and mechanical surface modifications on surface characteristics and phase transformation by Emel Arslan, Ipek Caglar

“…Abstract Objectives This study investigated the effects of different surface modifications on surface roughness, phase transformation, and bond strength of polyetheretherketone (PEEK) to composite resin. …”
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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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AMSformer: A Transformer for Grain Storage Temperature Prediction Using Adaptive Multi-Scale Feature Fusion by Qinghui Zhang, Weixiang Zhang, Quanzhen Huang, Chenxia Wan, Zhihui Li

“…To tackle this issue, this paper introduces an adaptive multi-scale feature fusion transformer model (AMSformer). Firstly, the model utilizes the adaptive channel attention (ACA) mechanism to adjust the weights of different channels according to the input data characteristics and suppress irrelevant or redundant channels. …”
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Polymorphisms and plasma level of transforming growth factor-Beta 1 and risk for preeclampsia: a systematic review. by Xun Li, Lin Shen, Hongzhuan Tan

“…<h4>Background</h4>Transforming growth factor-beta 1 (TGF-β1) is thought to be involved in the pathogenesis of preeclampsia (PE), but the results are inconsistent among studies. …”
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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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Cultural facilities and urban development: WIELS contemporary art centre and the transformation of a working-class neighbourhood by Simon Debersaques

“…In this article, we attempt to understand how WIELS contributes to urban development through culture. By combining different qualitative methods, it is clear that although WIELS was initially caught in a conflict between property income and openness towards its neighbourhood, certain tangible and discursive elements might prompt us to consider WIELS as one of the components in the formation of a new creative metropolitan centrality.…”
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STYLISTIC MEANS OF IMPLEMENTING THE IDEA OF THE WORLD’S IRIDESCENCE IN PH.K. DICK’S “UBIK” IN THE CONTEXT OF TRANSLATION TRANSFORMATIONS by Svitlana F. Aleksenko, Larysa I. Taranenko

“…Among the typical translation methods, instrumental in the rel- evant textual sequences in “Ubik”, a share of lexical and semantic transformations equals 60.2% of the re- searched sets of translation counterparts, with modulation and specification being the dominant ones and logical synonymy, calquing and lexical compensation trailing behind. …”
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A comparative study of wavelet families for schizophrenia detection by E. Sathiya, T. D. Rao, T. Sunil Kumar

“…Schizophrenia (SZ) is a chronic mental disorder, affecting approximately 1% of the global population, it is believed to result from various environmental factors, with psychological factors potentially influencing its onset and progression. Discrete wavelet transform (DWT)-based approaches are effective in SZ detection. …”
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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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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Objectives: To further optimize the use of information from various domains, we propose a novel framework based on multi-domain feature rotation transformation and stacking ensemble for classifying MI tasks. …”
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