PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…Recently, with the rise of AI, many data-driven methods are proposed. However, most of them take no consideration of natural physical laws that may cause issues of physical inconsistency among different variables. …”
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Local-Global Feature Extraction Network With Dynamic 3-D Convolution and Residual Attention Transformer for Hyperspectral Image Classification by Qiqiang Chen, Zhengyang Li, Junru Yin, Wei Huang, Tianming Zhan

“…Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI) classification methods have attracted significant attention owing to their effective feature representation capabilities. …”
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GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability by Yanjiao Song, Linyi Li, Yun Chen, Junjie Li, Zhe Wang, Zhen Zhang, Xi Wang, Wen Zhang, Lingkui Meng

“…However, discontinuous pixel values inherent to conventional water maps hinder the application of deep learning methods, which are effective and popular for relevant studies. …”
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Advancements in regulatory agility, regional collaboration, and digital transformation: insights from the Asia Partnership Conference of Pharmaceutical Associations (APAC) by Sannie Siaw Foong Chong, Stephanie Hui Min Ong, Siew Mei Long, Masaaki Kanno, Usanee Harnpramukkul, Kum Cheun Wong, Asawari Sathaye, Mamta Singh, Manish Paliwal, Huyen Do, Helene Sou, Richard Simon R. Binos

“…Abstract Purpose The Asia Partnership Conference of Pharmaceutical Associations (APAC) examines recent developments in regulatory practices across Asia, focusing on regulatory agility, regional collaboration, and digital transformation. The paper identifies key improvements made by national regulatory authorities (NRAs) in adopting regulatory agilities over a two-year span. …”
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Ischemic cerebral infarction with hemorrhagic transformation: peculiarities of perifocal tissue changes depending on the disease phase and background and concomitant pathology by Y.O. Pospishil, R.I. Falion, O.R. Malyk, Y.I. Beketova, R.S. Pshyk, I.S. Dronyk

“…Background. Hemorrhagic transformation of brain tissue with necrosis is a common complication of ischemic stroke. …”
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Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM by Zhou Xiaolong, Jiang Zhenhai, Ma Fenglei

“…Aiming at the non- stationary feature of the rolling bearing vibration signal and the fault samples are always in a small number in its fault diagnosis,a rolling bearing fault diagnosis method based on improved Hilbert- Huang transform energy entropy and support vector machine is proposed. …”
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Estimation Methods for the Roll Damping Ratio of Floating Structures by Hyun Jung Park, Yong Jae Jung, Kwang Hyo Jung, Sung Boo Park, Yong Ho Choi, Yun Suk Chung, Seung Jae Lee

“…The roll natural periods were determined using the Fast Fourier Transform and the peak-to-peak method applied to the time series of the free roll decay test. …”
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A Suggested Point Search Algorithm for Circle Detection in Binary Images by Sundus Ebraheem

“…The proposed algorithm was compared with Hough Transform (HT) method for circle detection by using many images with different numbers and radius of circles and different image dimensions. …”
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A novel numerical approach to find the optimal frequency of Rayleigh–Plateau instability in laminar jet breakup for uniform droplet generation by Sepehr Mousavi, Majid Siavashi

“…This method is applied to determine the optimal frequency for different flow conditions (WeberWe=6;0.013≤Ohnesorge(Oh)<0.219). …”
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UHVDC Transmission Fault Location Based on Residual Convolutional Neural Network by LI Ji, ZHANG Xueyou, ZHANG Junjie, SHI Wen, RUAN Wei, DAI Jianfeng

“…Using the nonlinear fitting ability of residual convolution neural network (RCNN) , the accurate fault location can be realized without calculating the line attenuation constant. Firstly, wavelet transform is used to extract fault voltage and current of different frequency bands, which are used as input of residual convolution neural network. …”
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A Comparison of Moments-Based Logo Recognition Methods by Zili Zhang, Xuan Wang, Waqas Anwar, Zoe L. Jiang

“…In this paper we find out the relations between logos with different transforms and moments, which moments are fit for logos with different transforms. …”
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DAViT: A Domain-Adapted Vision Transformer for Automated Pneumonia Detection and Explanation Using Chest X-Ray Images by Michael Fu, Chakkrit Tantithamthavorn, Trung Le

“…To address these challenges, we propose DAViT (Domain-Adapted Vision Transformer), a hybrid architecture that combines Vision Transformers (ViTs) and shallow CNNs with domain adaptation. …”
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Clinical-catamnestic and medical-social characteristics of periodic endogenous psychoses as a result of pathopersonological transformations (a comparative analysis) by M. Ye. Khomitskyi

“…An obligatory criterion for inclusion was the state of clinical remission with psychotic symptoms reduction. The main methods of the study were clinical-catamnestic and clinical-psychopathological as well as medical statistical analysis. …”
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Contextualizing Mijikenda Healthcare System in Matthew 8:1-4 Leper's Narrative to Procure a Transformative Evangelical Engagement by Dr. Fednand-Manjewa M'bwang, Professor Ernest Van Eck

“…Mijikenda healthcare practices, often involve traditional healing methods, can in ways be compared to Christian healing such as the role of one’s faith, prayer, and the use of spiritual and physical remedies. …”
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Evaluating transforming growth factor-B and interleukin-6 as a prognostic markers in pediatric critically ill septic patients by Ayman Emil Eskander, Hanaa Ibrahim Rady, Mariam Mahmoud Balah, Heba Ibrahim Abdallah, Noha Hassan El-Anwar

“…TGF-β levels had no significant difference between survivors and non-survivors (p = 0.250). …”
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College psychological stress assessment system based on LabVIEW and WTA integration by Ting Wang

“…This study develops a system that combines the laboratory virtual instrument engineering workbench and wavelet transform algorithm, aiming to improve the real-time and accuracy of psychological stress assessment. …”
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Enhanced Fuzzy Delphi Method in Forecasting and Decision-Making by Majed G. Alharbi, Hamiden Abd El- Wahed Khalifa

“…The Delphi method is a process where subjective data are transformed into quasi-objective data using statistical analysis and are converged to stable points. …”
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A Multi-Feature Fusion Approach for Road Surface Recognition Leveraging Millimeter-Wave Radar by Zhimin Qiu, Jinju Shao, Dong Guo, Xuehao Yin, Zhipeng Zhai, Zhibing Duan, Yi Xu

“…This method involves fitting discrete echo signals into coordinate curves. …”
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Historical Perspectives in Volatility Forecasting Methods with Machine Learning by Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

“…While recent works show promising advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive assessment of current statistical and learning-based methods is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models, such as implied volatility, GARCH, LSTM, and Transformer. …”
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Digital Economy as a Method of Integration into World Space by A. P. Garnov, O. N. Bykova

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