NFT UNDER CONDITIONS OF CRITICAL TRANSFORMATIONS IN THE DIGITAL ASSET MARKET by Svitlana Volosovych, Mariia Nezhyva, Іgor Napadovskyi

“…The present article aims to examine the prospects for the development of non-fungible tokens (NFTs) in the context of global transformations in the digital asset market. A graphical method was employed in the study to identify global trends in the development of the NFT market. …”
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Application of Fourier transform infrared spectroscopy to exhaled breath analysis for detecting helicobacter pylori infection by Meiqi Qiu, Fei Liao, Yulin Tan, Junlong Zhang, Changjun Zheng, Hanyu Wang, Huangming Zhuang, Wanli Xiong, Qingfang Xie, Weiguo Dong

“…Fourier-transform infrared (FTIR) spectroscopy can detect human exhaled gases, which may change under disease conditions. …”
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Comparative Evaluation of Microhardness and Degree of Polymerization of Dual-cure Resin Cement on Luting Composite Resin Endocrowns of 5.5mm and 7.5mm Thicknesses: An in-vitro Stud... by Prakruthi Nallikatte, Shony Mohan, Harsha Karunakaran, Ravichandran Rajagopal, Vivek Nair, Amal Shajahan

“…Background and aim: The aim of this in vitro study was to assess and compare the microhardness and degree of polymerization of dual-cure resin cement used for luting composite resin Endocrowns using the Vickers microhardness test and Fourier Transform Infrared (FTIR) spectroscopy.Material and methods: The study comprises two test groups and one control group. …”
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Effect of Different Solvents, Pore-Forming Agent and Solubility Parameter Differences on the Properties of PES Ultrafiltration Membrane by Seren Acarer

“…In this study, polyethersulfone (PES) membranes are produced by the NIPS method using two different solvents, dimethyl sulfoxide (DMSO) and N-methyl-2-pyrrolidone (NMP), and polyvinylpyrrolidone (PVP) as pore-forming agent. …”
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A New Transformation Method of the T₂ Spectrum Based on Ordered Clustering—A Case Study on the Pore-Throat Utilization Rule of Supercritical CO₂ Flooding in L... by Yanchun Su, Chunhua Zhao, Xianjie Li, Xiujun Wang, Jian Zhang, Bo Huang, Xiaofeng Tian, Mingxi Liu, Kaoping Song

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StegGPT: A Novel Foundation-Model-Based Character-Level Linguistic Steganography Method Utilizing Large Language Models by Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian

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Analysis of Internal Quality Changes in Apples During Storage Using Near-Infrared Spectroscopy by Yande Liu, Siwei Lv, Xiaogang Jiang, Yeqing Lu, Bo Hu

“…To enhance the predictive accuracy of the model, several pretreatment methods were employed, including standardization, multiplicative scatter correction (MSC), and standard normal variate transformation (SNV). …”
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Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers by Bernardo Luis Tuleski, Cristina Keiko Yamaguchi, Stefano Frizzo Stefenon, Leandro dos Santos Coelho, Viviana Cocco Mariani

“…Developing appropriate fault-labeled datasets can be challenging due to nonlinearity variations and divergence in feature distribution among different engine kinds or operating scenarios. To solve this task, this study experimentally measures audio emission signals from compression ignition engines in different vehicles, simulating injector failures, intake hose failures, and absence of failures. …”
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MCCA-VNet: A Vit-Based Deep Learning Approach for Micro-Expression Recognition Based on Facial Coding by Dehao Zhang, Tao Zhang, Haijiang Sun, Yanhui Tang, Qiaoyuan Liu

“…In the past few years, deep learning methods based on optical flow and Transformer have achieved excellent results in this field, but most of the current algorithms are mainly concentrated on establishing a serialized token through the self-attention model, and they do not take into account the spatial relationship between facial landmarks. …”
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Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning by Jiaze Wu, Hao Liang, Changsong Ding, Xindi Huang, Jianhua Huang, Qinghua Peng

“…The PPG signals were transformed into 224 ∗ 224 ∗ 3-pixel scalogram via different CWTs and segment units. …”
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PHASE TRANSFORMATIONS IN STEELS UNDER CONTROLLED QUENCHING IN A MAGNETIC FLUID by Alexander Yakovlevich Simonovsky

“…Materials and methods: when choosing the object of research - samples of tool steels - proceeded from the regularities of phase transformations occurring in steels with different cooling intensities. …”
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Combining Hadamard Matrix, Discrete Wavelet Transform and DCT Features based on PCA and KNN for Image Retrieval by Hassan Farsi, Sajad Mohamadzadeh

“…The precision at percent recall and ANR are considered as metrics to evaluate and compare different methods. Obtaining results show that the proposed method provides better performance in comparison with other methods. …”
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MFFNet: a wavelet transform-based multimodal frequency fusion network for remote sensing semantic segmentation by Chao Li, Haitao Lyu, Weipeng Jing, Ye Yuan, Guangliang Cheng

“…Specifically, we propose the spatial-frequency domain wavelet attention fusion module (SFWAF), which uses weight-shared spatial-domain branches to extract generic spatial features for different modalities. The SFWAF module uses the discrete wavelet transform (DWT) to map different modal features into the frequency domain for fusion and adaptively integrates the dual-domain features using a learnable weighting factor. …”
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Transforming Education in Saudi Arabia: Unlocking Success Through Innovative Teaching by Muhammad Tanveer

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Multimodal surface-based transformer model for early diagnosis of Alzheimer’s disease by Quan Anh Duong, Sy Dat Tran, Jin Kyu Gahm

“…Our model employs a middle-fusion approach with a cross-attention mechanism to efficiently integrate features from different modalities. Experimental evaluations on the ADNI series dataset, using T1-weighted MRI and $$[^{18}\text {F}]$$ Fluorodeoxyglucose PET, demonstrate that the proposed model outperforms volume-based methods in both early AD diagnosis accuracy and computational efficiency. …”
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Cross-Scale Guidance Integration Transformer for Instance Segmentation in Pathology Images by Yung-Ming Kuo, Jia-Chun Sheng, Chen-Hsuan Lo, You-Jie Wu, Chun-Rong Huang

“…<italic>Method:</italic> A novel cross-scale guidance integration transformer is proposed for gland cell instance segmentation. …”
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Viewport prediction with cross modal multiscale transformer for 360° video streaming by Yangsheng Tian, Yi Zhong, Yi Han, Fangyuan Chen

“…Here, we present a novel viewport prediction model leveraging a Cross Modal Multiscale Transformer (CMMST) that integrates user trajectory and video saliency features across different scales. …”
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CONCEPTUAL BASIS OF STATE REGULATION OF AGRICULTURE UNDER TERMS OF INSTITUTIONAL TRANSFORMATION by Sergey M. Gorlov, Yana M. Chershembeeva

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Heterogeneous effects of agricultural chemical reduction strategies on farmers’use of fertilizer and pesticide by ZHANG Lu, LUO Biliang

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Transformer-based structural connectivity networks for ADHD-related connectivity alterations by Liting Shi, Lei Shi, Zhijun Cui, Chengting Lin, Rui Zhang, Jiayi Zhang, Yechen Zhu, Wei Shi, Jianlin Wang, Yanlong Wang, Dongxing Wang, Haihong Liu, Xin Gao

“…To prepare input for the model, each region was transformed into a standardized data sequence using four different strategies. …”
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