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

“…The paper employs a 3-level discrete wavelet transformation (DWT) on the chosen channel to identify key parameters indicative of gastric disturbances. …”
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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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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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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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Study on Mercury Exposure and Different Approaches for the Management of Mercury Toxicity by Praveen Kumar Maddheshiya, Priyanka Bharti, Sarad Kumar Mishra, Kapil Gupta

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General Solution of Linear Fractional Neutral Differential Difference Equations by Hai Zhang, Jinde Cao, Wei Jiang

“…This paper is concerned with the general solution of linear fractional neutral differential difference equations. The exponential estimates of the solution and the variation of constant formula for linear fractional neutral differential difference equations are derived by using the Gronwall integral inequality and the Laplace transform method, respectively. …”
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Principal Components of Superhigh-Dimensional Statistical Features and Support Vector Machine for Improving Identification Accuracies of Different Gear Crack Levels under Different... by Dong Wang, Kwok-Leung Tsui, Peter W. Tse, Ming J. Zuo

“…First, superhigh-dimensional statistical features are extracted from continuous wavelet transform at different scales. The number of the statistical features extracted by using the proposed method is 920 so that the extracted statistical features are superhigh dimensional. …”
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Multiscale feature fusion and enhancement in a transformer for the fine-grained visual classification of tree species by Yanqi Dong, Zhibin Ma, Jiali Zi, Fu Xu, Feixiang Chen

“…To address these challenges, we propose multiscale feature fusion (MFF) and enhancement in transformers to improve recognition performance. The method consists of a Swin transformer backbone, an MFF module, a discriminative feature enhancement (DFE) module, and a texture feature enhancement (TFE) module. …”
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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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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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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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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…AE signals are first transformed into the frequency domain, where significant frequency components are extracted and used as inputs to an autoencoder network. …”
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TRANSFORMATION OF VISUAL STEREOTYPES ON TV: NONFICTIONAL TV-FORMATS OF THE USA AND CANADA OF THE 1960th / Трансформация зрелищных стереотипов на малом экране: неигровые телеформаты... by KAZYUCHITS M.F. / КАЗЮЧИЦ М.Ф.

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A novel color image encryption algorithm based on fractional-order conservative memristive hyperchaotic system and extended zig-zag transform by Fanqi Meng, Gang Wu, Juxiao Zhang

“…Second, a new extended Zig-Zag confusing method is designed, which realizes the scrambling of pixels in different channels of a color image. …”
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DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform by Shuli Sun, Jixin Liu, Guojun Li, Bingqiang Liu

“…We present DeepGFT, a method that simultaneously models spot-wise and gene-wise relationships by integrating deep learning with graph Fourier transform for spatial domain identification. …”
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Electrohydropulse technology of destruction and crushing of natural stones at different parameters by B.A. Akhmadiev, A. Tatybekov, N.N. Shuyushbayeva, N.K. Tanasheva, G.S. Altayeva, M. Stoev

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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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