A mixed-method concurrent transformative study of metadiscourse markers employed by L2 speakers: does proficiency level matter? by Hiwa Weisi, Maryam Zandi

“…To conduct this discourse analysis research, a mixed-methods approach with concurrent transformative design was employed. …”
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BathyFormer: A Transformer-Based Deep Learning Method to Map Nearshore Bathymetry with High-Resolution Multispectral Satellite Imagery by Zhonghui Lv, Julie Herman, Ethan Brewer, Karinna Nunez, Dan Runfola

“…Traditional bathymetric mapping methods such as sonar surveys and LiDAR are often time-consuming and costly. …”
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A transformation uncertainty and multi-scale contrastive learning-based semi-supervised segmentation method for oral cavity-derived cancer by Ran Wang, Chengqi Lyu, Lvfeng Yu

“…The transformation uncertainty estimation evaluates the model’s confidence on data transformed via different methods, reducing discrepancies between the teacher and student models. …”
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Digital transformation project risks assessment using hybrid picture fuzzy distance measure-based additive ratio assessment method by Pratibha Rani, Arunodaya Raj Mishra, Adel Fahad Alrasheedi, Dragan Pamucar, Dragan Marinkovic

“…Abstract Digital transformation (DT) has become vital for companies trying to remain competitive in the recent ever-changing technological environment. …”
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Greenness, blueness and whiteness evaluated rapid Attenuated Total Reflection/ Fourier Transform Infrared Spectroscopy method for piper nigrum Samples Coupled with multivariate ana... by Rinkal N Patel, Kunjal L Vegad, Ruchik V Mistry, Nikunj D Patel

“…A novel, rapid, steadfast method based on attenuated total reflectance - Fourier transform infrared (ATR-FTIR) technique with a diamond crystal was developed to evaluate samples of piper nigrum. …”
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First Application of a New Rapid Method of Age Determination in European Anchovy (<i>Engraulis encrasicolus</i>) by Fourier Transform Near-Infrared Spectroscopy by Gualtiero Basilone, Miryam Fortuna, Gabriella Lo Cicero, Simona Genovese, Giovanni Giacalone, Ignazio Fontana, Angelo Bonanno, Salvatore Aronica, Rosalia Ferreri

“…Age determination through reading annual rings in whole otoliths is a complicated, time-consuming task that can lead to errors in population age structure, negatively affecting marine fish management plans. Recently, Fourier transform near-infrared spectroscopy (FT-NIRS) has been successfully used to evaluate annual age, at least in several long-life fish species. …”
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Electricity Load Forecasting Method Based on the GRA-FEDformer Algorithm by Xin Jin, Tingzhe Pan, Heyang Yu, Zongyi Wang, Wangzhang Cao

“…In recent years, Transformer-based methods have shown full potential in power load forecasting problems. …”
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Multi-Modal Remote Sensing Image Registration Method Combining Scale-Invariant Feature Transform with Co-Occurrence Filter and Histogram of Oriented Gradients Features by Yi Yang, Shuo Liu, Haitao Zhang, Dacheng Li, Ling Ma

“…Multi-modal remote sensing images often exhibit complex and nonlinear radiation differences which significantly hinder the performance of traditional feature-based image registration methods such as Scale-Invariant Feature Transform (SIFT). …”
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Multi-Task Image Restoration Algorithm Under Different Weather Influence Factors by Lingwen Meng, Mingyong Xin, Junwei Zhang, Fu Zou, Qingqing Zhao

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INFLUENCE OF CHRONOTHERAPY WITH DIFFERENT ANTIHYPERTENSIVE DRUGS ON CIRCADIAN BLOOD PRESSURE PATTERN by V. M. Gorbunov, E. Yu. Fedorova, A. D. Deev, O. Yu. Isaikina, V. G. Belolipetskaya, E. A. Zhabina

“…To determine the value of different blood pressure (BP) measurement methods for arterial hypertension (HT) chronotherapy efficacy assessment. …”
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Shearography-Wavelet-Based Damage Detection Methodology for Aluminum Beams by Amirhossein Abbasi, Mohsen Khatibinia, Hashem Jahangir, José Viriato Araújo Dos Santos, Hernani Miguel Reis Lopes

“…By deriving the modal rotations, the modal strains were obtained and introduced as the input of 22 different families of 2D wavelet transforms with three different scales 1, 7, and 15. …”
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The Analysis of The Impact of Companies’ Logistics 4.0 Awareness on Digital Transformation and Logistics Capabilities by Yahya Fidan, Nazlıcan Dindarik

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An Interpretable Method for Asphalt Pavement Skid Resistance Performance Evaluation Under Sand-Accumulated Conditions Based on Multi-Scale Fractals by Yuhan Weng, Zhaoyun Sun, Huiying Liu, Yingbin Gu

“…Existing research using only wavelet transforms or fractal theory to study the pavement surface texture-skid resistance relationship has limitations. …”
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Seasonal Analysis of Planetary Boundary Layer and Turbulence in Warsaw, Poland Through Lidar and LES Simulations by Rayonil G. Carneiro, Maciej Karasewicz, Camilla K. Borges, Lucja Janicka, Dongxiang Wang, Gilberto Fisch, Iwona S. Stachlewska

“…Using remote sensing lidar sensor data, the PBLH was calculated using wavelet covariance transform (WCT) and the gradient method (GM). Also, simulations of turbulent fluxes were performed utilizing the large eddy simulation (LES) from the Parallel Large Eddy Simulation Model (PALM) to better understand how turbulence and convection behave across different seasons in Warsaw. …”
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Influence of microbiological risks associated with spore-forming microflora on the quality and storability of butter from different production methods by G. M. Sviridenko, M. B. Zakharova, E. V. Topnikova

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Oral history methods can reveal drivers of landscape transformation: Understanding land‐use legacies with local and traditional knowledge in Central Europe by Marianna Biró, Krisztina Molnár, Kinga Öllerer, Réka Szilágyi, Dániel Babai, Csaba Molnár, Zsolt Molnár

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Immersive Virtual Reality and AI (Generative Pretrained Transformer) to Enhance Student Preparedness for Objective Structured Clinical Examinations: Mixed Methods Study by Shaniff Esmail, Brendan Concannon

“…The VR used artificial intelligence in the form of a generative pretrained transformer to generate responses from virtual patients as students interacted with them in natural language. …”
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Network traffic anomaly detection method based on multi-scale characteristic by Xueyuan DUAN, Yu FU, Kun WANG, Taotao LIU, Bin LI

“…Aiming at the problem that most of the traditional network traffic anomaly detection methods only pay attention to the fine-grained features of traffic data, and make insufficient use of multi-scale feature information, which may lead to low accuracy of anomaly detection results, a network traffic anomaly detection method based on multi-scale features was proposed.The original traffic was divided into sub-sequences with multiple observation spans by using multiple sliding windows of different scales, and the multi-level sequences of each sub-sequence were reconstructed by wavelet transform technology.Multi-level reconstructed sequences were generated by Chain SAE through feature space mapping, and a preliminary judgment of abnormality was made by the classifiers of each level according to the errors of the reconstructed sequences.The weighted voting strategy was adopted to summarize the preliminary judgment results of each level to form the final result judgment.Experimental results show that the proposed method can effectively mine the multi-scale feature information of network traffic, and the detection performance of abnormal traffic is obviously improved compared with traditional methods.…”
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Phase transformation surfaces around a crack tip for a shape memory alloys by Christian Lexcellent

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Underwater target depth estimation: A shallow-water broadband acoustic source depth estimation method based on corrected warping transformation. by Du Siqi, Han Dong, Liu Cong, Li Sidi

“…A broadband sound source depth estimation method based on the BDRM model is proposed for the shallow sea to address the problem that the traditional Warping transform is limited by the ideal waveguide and cannot handle the real marine environment localization of structures with variable sound speed profiles. …”
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