The Impact of Genetic Variation on Drug Response in Adult IBD: A Systematic Review by Masomeh Askari, Shaghayegh Baradaran Ghavami, Nayeralsadat Fatemi, Mahya Haghipanah, Nesa Kazemifard, Hamid Asadzadeh Aghdaei, Makan Cheraghpour, Hamid Mahdizadeh, Shabnam Shahrokh, Mehdi Totonchi

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Soil quality variation associated with land cover in the Peruvian jungle of the Junín region by Carlos Carbajal, Fernanda Moya-Ambrosio, Antony Barja, Elvis Ottos-Diaz, Cinthya Aguilar-Tito, Orlando Advíncula-Zeballos, Juancarlos Cruz-Luis, Richard Solórzano-Acosta

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Terrain Segmentation of Greece Using the Spatial and Seasonal Variation of Reference Crop Evapotranspiration by Vassilis Aschonitis, George Miliaresis, Kleoniki Demertzi, Dimitris Papamichail

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Innovative Solutions to the Fractional Diffusion Equation Using the Elzaki Transform by Saima Noor, Albandari W. Alrowaily, Mohammad Alqudah, Rasool Shah, Samir A. El-Tantawy

“…Thus, by utilizing the mighty powers of fractional calculus, we employ the variational iteration method (VIM) with the Elzaki transform to produce highly accurate approximations for these specific differential equations. …”
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Axial load induced vibrational changes in nonlocal stress-driven beams by Indronil Devnath, Mohammad Nazmul Islam

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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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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

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Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

“…With the widespread integration of renewable energy sources into IES (Integrated Energy Systems), the uncertainties in renewable energy outputs and the volatility of user loads present new challenges for energy scheduling optimization. …”
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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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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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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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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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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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Assessment of the temporal variations of surface water bodies in Dhaka City using Landsat imagery by Md Rayhan, Md Mahin Mobarrat, Maiesha Nujhat, Ronjan Kumar Paul, Md Khairul Amin

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Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction by Xinwei Wan, Dan Li, Fanqiang Kong, Yanyan Lv, Qiang Wang

“…The effectiveness of model-based reconstruction methods can be promoted. In this article, a subspace-based model utilizing spectral quadratic variation regularized autoweighted tensor ring (TR) decomposition is proposed to explore the multiple-layer spatial&#x2013;spectral priors of HSI. …”
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Photon sensor-based monitoring of spatial variations in canopy FIPAR for crop growth assessment by Jian Wang, Zhenggui Zhang, Xin Li, Lu Feng, Xiaofei Li, Minghua Xin, Shiwu Xiong, Yingchun Han, Shijie Zhang, Xiaoyu Zhi, Beifang Yang, Guoping Wang, Yaping Lei, Zhanbiao Wang, Yabing Li

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