Innovative techniques to chaotic dynamics and kinetic differ-integral equations by Ahsan Mehmood, Zhi-Guo Liu, Muhammad Samraiz, Fuat Usta, Sama Arjika

“…Utilizing advanced numerical methods, we transform the non-local kernel into its local counterpart in order to obtain efficient and accurate solutions.…”
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FTT: A Frequency-Aware Texture Matching Transformer for Digital Bathymetry Model Super-Resolution by Peikun Xiao, Jianping Wu, Yingjie Wang

“…Deep learning has shown significant advantages over traditional spatial interpolation methods in single image super-resolution (SISR). Recently, many studies have applied super-resolution (SR) methods to generate high-resolution (HR) digital bathymetry models (DBMs), but substantial differences between DBM and natural images have been ignored, which leads to serious distortions and inaccuracies. …”
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Assessment of Transformer Fault Severity from Online Dissolved Gas Analysis Using Positive CUSUM by Naris Chattranont, Sakhon Woothipatanapan, Nattachote Rugthaicharoencheep

“…Dissolved gas analysis (DGA) is one of the transformer testing methods that has been widely used for a long time because it does not require the transformer to be offline for testing. …”
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Exploring gender-based disparities in the digital transformation and sustainable development of SMEs in V4 countries by Jaroslav Belas, Tomas Kliestik, Jan Dvorsky, Dalia Streimikiene

“…Data were collected from 1,398 SME owners or top managers using the computer-assisted web interviewing (CAWI) research method. The results reveal significant differences in how male and female entrepreneurs perceive sustainable business growth from social, economic, and environmental perspectives. …”
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IMAGE TRANSFORMATION OF PETER THE FIRST IN HISTORICAL VIEWS OF RUSSIAN EMPERORS DURING XVIII - XIX CENTURY by Tat’yana Aidunova

“…The author analyzes factors, instruments and methods of modeling Peter I's image by using various sources. …”
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Multi-Physics Numerical Research in Oil-Immersed Three-Phase Transformer Under Load Unbalance by Guanxun Diao, Heli Ni, Wenrong Si, Yingjie Gu, Jian Yang

“…To better understand multiphysics interactions within a transformer under a three-phase load unbalance, a coupled multiphysics model is established and validated for an oil-immersed transformer based on the finite element method. …”
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Transformer-Based Motion Predictor for Multi-Dancer Tracking in Non-Linear Movements of Dancesport Performance by Zhiling Wang

“…Unlike conventional tracking methods that integrate appearance features, MDSTT processes historical bounding box trajectories through a transformer encoder, capturing both long-range and short-term spatio-temporal dependencies while mitigating occlusion-induced identity switches. …”
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BANKING LOANS AND HOUSEHOLD DEPOSITS IN THE REPUBLIC OF BULGARIA UNDER ECONOMIC CRISIS: DYNAMICS AND STRUCTURAL TRANSFORMATIONS by Zhelyo Vatev

“…Bank loans and deposits differ not only in quantitative characteristics but also in the content. …”
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Modelling students' cognitive achievement skills using the alpha power transformed Lindley probability distribution. by Shibiru Jabessa Dugasa, Butte Gotu Arero

“…Therefore, this new model can be considered a significant contribution to the field of statistics and probability methods. Future work on the presented study could extend the APTLD distribution using Bayesian regression models.…”
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Evaluation of Fascin expression in oral erosive lichen planus and its relationship with potential of malignant transformation by Fatemeh Shahsavari, Mahmood Emami, Maedeh Ghorbanpour

“…Methods. In this experimental study, 27 samples of erosive OLP and 30 samples of OSCC were immunohistochemically stained with fascin. …”
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Correlations of pituitary tumor transforming gene expression with human pituitary adenomas: a meta-analysis. by Jian-Qi Xiao, Xiao-Hai Liu, Bo Hou, Yong Yao, Kan Deng, Min Feng, Bin Xing, Wei Lian, Ren-Zhi Wang, Feng Feng

“…<h4>Objective</h4>Pituitary tumor transforming gene (PTTG) is an important paracrine growth factor involved in early lactotrope transformation and early onset of angiogenesis in pituitary hyperplasia. …”
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CORRELATION EVALUATION OF THE FORTESCUE AND CLARKE TRANSFORMATIONS FOR UNSYMMETRICAL SYSTEM OF THE CURRENT VECTORS IN THE THREE-PHASE LINE by O. V. Byalobrzhyeskiy, V. Yu. Kachalka, R. V. Vlasenko

“…In forming the current of the power active filtering-balancing device a few power theories gained ground, distinguishing among others the Frieze theory and the p–q theory. These presentations differ from the methods laid as theoretical grounds of the electric energy accounting systems.The article presents an analysis in the compliant system of the effect of the current projections on the power components formation character. …”
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Graph Knowledge-Enhanced Iterated Greedy Algorithm for Hybrid Flowshop Scheduling Problem by Yingli Li, Biao Zhang, Kaipu Wang, Liping Zhang, Zikai Zhang, Yong Wang

“…This study presents a graph knowledge-enhanced iterated greedy algorithm that incorporates dual directional decoding strategies, disjunctive graphs, neighborhood structures, and a rapid evaluation method to demonstrate its superior performance for the hybrid flowshop scheduling problem (HFSP). …”
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Transforming growth factor beta 1 level in differentiated thyroid tumors, metastases and blood plasma by N.Ya. Kobrynska, V.M. Pushkarev, N.I. Levchuk, O.I. Kovzun, I.I. Komisarenko, B.B. Guda, M.D. Tronko

“…Markers that can be determined at the stage of preoperative research are of particular value. Transforming growth factor β1 (TGF-β1) can be one of these markers. …”
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Assessing the Capabilities of Generative Pretrained Transformer-4 in Addressing Open-Ended Inquiries of Oral Cancer by Kaiyuan Ji, Jing Han, Guangtao Zhai, Jiannan Liu

“…Introduction and aims: In the face of escalating oral cancer rates, the application of large language models like Generative Pretrained Transformer (GPT)-4 presents a novel pathway for enhancing public awareness about prevention and early detection. …”
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Electrogastrogram-based detection of cybersickness with the application of wavelet transformation and machine learning: A case study by Ilija V. Tanasković, Nenad B. Popović, Jaka J. Sodnik, Sašo J. Tomažič, Nadica S. Miljković

“…However, prevalence of cybersickness (CS), characterized by symptoms such as nausea, limits their widespread use. Methods: This study introduces objective parameters for the detection of CS using three-channel electrogastrogram (EGG) recording from one specific subject and assesses the independence and linear correlation for appropriate channel selection. …”
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The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis by Amadeo Jesus Wals Zurita, Hector Miras del Rio, Nerea Ugarte Ruiz de Aguirre, Cristina Nebrera Navarro, Maria Rubio Jimenez, David Muñoz Carmona, Carlos Miguez Sanchez

“…We compared the results using metrics such as sensitivity, specificity, precision, accuracy, F-value, κ index, and the McNemar test, in addition to examining the common causes of errors in both humans and generative pretrained transformer (GPT) models. ResultsThe GPT-3.5 model exhibited slightly lower performance compared to physicians across all metrics, though the differences were not statistically significant (McNemar test, P=.79). …”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

“…In the eight-class classification task, the increased complexity led to more pronounced performance differences among models, with CNN- and Transformer-based architectures performing comparably overall. …”
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Physicochemical characterization of two bulk fill composites at different depths by Guillermo Grazioli, Carlos Enrique Cuevas-Suárez, Leina Nakanishi, Alejandro Francia, Rafael Ratto de Moraes

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Conditional distributionally robust dispatch for integrated transmission-distribution systems via distributed optimization by Jie Li, Xiuli Wang, Zhicheng Wang, Zhenzi Song

“…This paper closes this gap by proposing a conditional distributionally robust optimization (DRO) method for ITDSs. Specifically, a novel ambiguity set is built by exploiting the dependence of the wind power forecast error on its forecast value, which differs from most of the existing ones. …”
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