Deep plug-and-play denoising prior with total variation regularization for low-dose CT by Yinjin Ma, Yajuan Zhang, Lin Chen, Qiang Jiang, Fengjuan Shi, Biao Wei

“…We then train the DRBNet using a hybrid loss function combining L1 and multi-scale structural similarity (M-SSIM) losses, while regularizing the training with total variation (TV). After training, the DRBNet is integrated as a deep denoiser prior into a half-quadratic splitting-based method to solve the LDCT image denoising problem. …”
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Paleogeomorphology reconstruction and its control on sand dispersal systems: a case study from the Pinghu formation in the Hangzhou slope belt, Xihu Sag, East China sea shelf basin by Lanzhi Qin, Jie Xu, Jie Xu, Jie Xu, Donghao Xu, Hao Liu, Hao Liu, Hao Liu, Kun Cai

“…This study applies the seismic virtual extrapolation method and mudstone sonic analysis to reconstruct the paleogeomorphology of the Pinghu Formation in the Hang-zhou Slope Belt of the Xihu Sag, aiming to elucidate the control of paleogeomorphic features on sedimentary sand body distribution. …”
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A Systematic Review of the Advances and New Insights into Copy Number Variations in Plant Genomes by Saimire Silaiyiman, Jiaxuan Liu, Jiaxin Wu, Lejun Ouyang, Zheng Cao, Chao Shen

“…Copy number variations (CNVs), as an important structural variant in genomes, are widely present in plants, affecting their phenotype and adaptability. …”
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Nonlinear Dynamic Process Monitoring Based on Discriminative Denoising Autoencoder and Canonical Variate Analysis by Jun Liang, Daoguang Liu, Yinxiao Zhan, Jiayu Fan

“…In this article, we present a novel process monitoring approach, CVA-<i>DisDAE</i>, which integrates an improved Denoising Autoencoder (<i>DAE</i>) with Canonical Variate Analysis (CVA) to address the challenges posed by dynamic behaviors and nonlinear relationships in industrial processes. …”
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Numerical Analysis of Geometric Influences in Tetrapolar Electrical Impedance Spectroscopy Using Monte Carlo Simulations by Lovasz Zoltan, Atmaca Ömer, Veil Carina, Herkommer Alois, Sawodny Oliver

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Semi-analytical solutions for the scattering of plane SH Waves by a Finite Crack by Fuqing Chu, Hui Qi, Shaoqiang Liu, Jing Guo

“…In this study, we employ the wave function expansion method, integrated with the region-matching technique and the employment of half-integer order Bessel functions, to derive a semi-analytical solution for the scattering of plane SH waves by a finite crack. …”
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Relationship between extreme daily rainfall and temperature over the Brazilian Amazon by Rosane Barbosa Lopes CAVALCANTE, Paulo Rógenes Monteiro PONTES, Renata Gonçalves TEDESCHI, Edivaldo Afonso de Oliveira SERRÃO, Everaldo Barreiros de SOUZA

“…To address this gap, we analyze weather station data to investigate the relationship between daily precipitation (P) extremes and the corresponding daily temperatures (T) in this region, assessing whether differences in the P-T scaling method change this relationship’s pattern. Almost all 44 analyzed weather stations exhibited a monotonic decrease in the 99th percentile P with an increase in mean T, with the scaling exponent of -0.51 to +0.01%.…”
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Fatigue Life Analysis of Cylindrical Roller Bearings Considering Elastohydrodynamic Lubrications by Ke Zhang, Zhitao Huang, Qingsong Li, Ruiyu Zhang

“…The isothermal line contact elastohydrodynamic lubrication equations are solved using the multigrid method, and the contact load distribution is determined through nonlinear iterative techniques to calculate bearing fatigue life. …”
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Stochastic Finite Element Analysis for Static Bending Beams with a Two-Dimensional Random Field of Material Properties by Dang Diem Nguyen, Sy Dan Dao, Xuan Tung Nguyen, Van Tan Giap

“…A 2D stationary stochastic field is employed to model the elastic modulus, capturing the material heterogeneity along both the longitudinal and vertical directions of the beam. The weighted integral method is applied to represent the random field as random variables and to compute the element stiffness matrices, while a first-order perturbation technique is utilized to estimate the statistical moments of the nodal displacement vector, including the mean and covariance matrix. …”
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Localising loci underlying complex trait variation using Regional Genomic Relationship Mapping. by Yoshitaka Nagamine, Ricardo Pong-Wong, Pau Navarro, Veronique Vitart, Caroline Hayward, Igor Rudan, Harry Campbell, James Wilson, Sarah Wild, Andrew A Hicks, Peter P Pramstaller, Nicholas Hastie, Alan F Wright, Chris S Haley

“…Motivated by studies that demonstrate that loci contributing to trait variation may contain a number of different alleles, we have developed an analytical approach termed Regional Genomic Relationship Mapping that, like linkage-based family methods, integrates variance contributed by founder gametes within a pedigree. …”
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…The original data included daily runoff from January 2005 to December 2012. [Methods] This study first employed Multivariate Variational Mode Decomposition(MVMD) to decompose the original daily runoff data from the two stations, reducing data complexity. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

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Spatial variation of soil quality in key grain-producing areas of Qitai County, Xinjiang by FAN Zikang, WANG Chunxia, YU Jing, QIN Da, YANG Yuefa, WANG Hongxin

“…Classical statistical methods were used to analyze the correlations between indicators, and geostatistical methods were used to assess the spatial variation of each indicator. …”
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Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

“…The investigation of variation patterns of excavation safety factors, influenced by multiple modelling factors, is conducted through the utilization of a response surface design method in 46 experimental studies. …”
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Single Underwater Image Restoration Using Variational Framework Guided by Imaging Model With Noise by Chenggang Dai, Mingxing Lin

“…To address these corruptions, a novel method is proposed to reconstruct high-quality underwater images, which is designed by integrating imaging model with noise and variational framework. …”
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Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

“…This method innovatively integrates double variational autoencoders and multi-information fusion techniques. …”
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Evaluating Spatio-Temporal Kriging with Machine Learning Considering the Sources of Spatio-Temporal Variation by Min Jeong, Hyeongmo Koo

“…Integrating spatio-temporal kriging with machine learning improves estimation accuracy by addressing complex spatial and temporal variations in spatio-temporal phenomena. …”
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A Study on the Variations in Chinese Character Libraries: A Case Study of Song Typeface by Fushi Chen, Xingzhou Han, Xingyu Duan, Yang Yang

“…Results: Leveraging Python-based tools, we replaced the traditional printing process with digital image rendering to conduct our analyses, employing both traditional overlay comparison methods and image differentiation techniques. Furthermore, we introduced an innovative metric to quantify character variation. …”
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Variations in the concentration of subsoil gases and the atmospheric electric field prior to some earthquakes in Kamchatka by @Makarov, Evgenii O., Akbashev, Rinat R., Glukhov, Vitalii E.

“…A conclusion was made about the necessity of integrating various methods of recording geophysical fields, including direct measurements of crustal deformation, for the successful advancement of approaches to earthquake forecasting…”
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Latent profiles of youth social support: a study on variations and their impact on self-esteem by Jingxian Yu, Yuqin Guo, Yongqi Liang, Huan Peng, Na Li, Weisheng Gu, Hanjiao Liu

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