Environmental Changes Driving Shifts in the Structure and Functional Properties of the Symbiotic Microbiota of <i>Daphnia</i> by Minru You, Wenwu Yang

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Fast and robust strain signal processing for aircraft structural health monitoring by Cong Wang, Xin Tan, Xiaobin Ren, Xuelong Li

Subjects: “…Structural health monitoring…”
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Long-Read Sequencing and Structural Variant Detection: Unlocking the Hidden Genome in Rare Genetic Disorders by Efthalia Moustakli, Panagiotis Christopoulos, Anastasios Potiris, Athanasios Zikopoulos, Despoina Mavrogianni, Grigorios Karampas, Nikolaos Kathopoulis, Ismini Anagnostaki, Ekaterini Domali, Alexandros T. Tzallas, Peter Drakakis, Sofoklis Stavros

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Variation in Ẹdó personal pronouns by Perpetual Usenbo, Oye Taiwo

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Fine-structure mapping of structured Laguerre-Gaussian beam states on the orbital Poincaré sphere by A.V. Volyar, E.G. Abramochkin, M.V. Bretsko

“…Elements of a 4D symplectic matrix P of second-order intensity moments are theoretically found and experimentally measured for paraxial structured Laguerre-Gaussian (sLG) beams with two control parameters—the amplitude e and phaseq. …”
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Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise by Sanjay Ghosh, Sanjay Ghosh, Chang Cai, Ali Hashemi, Yijing Gao, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan

“…The statistical characteristic of the noise plays a crucial role in the success of the brain source recovery process, which can be formulated as a sparse regression problem.MethodIn this study, we assume that the dominant environment and biological sources of noise that have high spatial correlations in the sensors can be expressed as a structured noise model based on the variational Bayesian factor analysis. …”
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Genomic structural variations lead to dysregulation of important coding and non‐coding RNA species in dilated cardiomyopathy by Jan Haas, Stefan Mester, Alan Lai, Karen S Frese, Farbod Sedaghat‐Hamedani, Elham Kayvanpour, Tobias Rausch, Rouven Nietsch, Jes‐Niels Boeckel, Avisha Carstensen, Mirko Völkers, Carsten Dietrich, Dietmar Pils, Ali Amr, Daniel B Holzer, Diana Martins Bordalo, Daniel Oehler, Tanja Weis, Derliz Mereles, Sebastian Buss, Eva Riechert, Emil Wirsz, Maximilian Wuerstle, Jan O Korbel, Andreas Keller, Hugo A Katus, Andreas E Posch, Benjamin Meder

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Long-read sequencing transforms the diagnosis of congenital adrenal hyperplasia: resolving pseudogene interference and structural variations by Junfeng Zeng, Junfeng Zeng, Xiaoling Huang, Xiaoling Huang, Yanwei Li, Tizhen Yan, Jiwu Lou, Guizhen Lyu, Yanjin Li, Yanjin Li

“…Conventional genetic methods struggle to resolve complex structural variations and pseudogene interference in key genes like CYP21A2. …”
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Using de novo assembly to identify structural variation of eight complex immune system gene regions. by Jia-Yuan Zhang, Hannah Roberts, David S C Flores, Antony J Cutler, Andrew C Brown, Justin P Whalley, Olga Mielczarek, David Buck, Helen Lockstone, Barbara Xella, Karen Oliver, Craig Corton, Emma Betteridge, Rachael Bashford-Rogers, Julian C Knight, John A Todd, Gavin Band

“…Validation of our assembly using k-mer based and alignment approaches suggests that it has high accuracy, with estimated base-level error rates below 1 in 10 kb, although we identify a small number of remaining structural errors. We use the assembly to identify heterozygous and homozygous structural variation in comparison to GRCh38. …”
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Multi-Task Learning for Real-Time BSIM-CMG Parameter Extraction of NSFETs With Multiple Structural Variations by Seunghwan Lee, Seungjoon Eom, Jinsu Jeong, Junjong Lee, Sanguk Lee, Hyeok Yun, Yonghwan Ahn, Rock-Hyun Baek

“…We present a novel multi-task learning (MTL) approach with shared representation for the real-time extraction of Berkeley Short-channel IGFET Model-Common Gate (BSIM-CMG) parameters in nanosheet field-effect transistors (NSFETs) with multiple structural variations. An innovative artificial neural network (ANN) architecture, coupled with specialized training strategies, was introduced to extract BSIM-CMG parameters in NSFETs with varying gate lengths (<inline-formula> <tex-math notation="LaTeX">$L_{\mathrm {g}}$ </tex-math></inline-formula>), nanosheet widths (<inline-formula> <tex-math notation="LaTeX">$W_{\mathrm {ns}}$ </tex-math></inline-formula>), and thicknesses (<inline-formula> <tex-math notation="LaTeX">$T_{\mathrm {ns}}$ </tex-math></inline-formula>). …”
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Insights into the Structural and Nutritional Variations in Soluble Dietary Fibers in Fruits and Vegetables Influenced by Food Processing Techniques by Wenjie Sui, Shuiqing Wang, Yue Chen, Xiaoxuan Li, Xin Zhuang, Xinhuan Yan, Ye Song

“…Processing-induced structure variations in SDFs inevitably change their fermentability and gelling ability, promote the growth of beneficial bacteria and the production of short-chain fatty acids, enhance immunity, and reduce the risk of chronic diseases. …”
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Optical genome mapping with whole genome sequencing identifies complex chromosomal structural variations in acute leukemia by Meng-Ju Melody Tsai, Meng-Ju Melody Tsai, Hsiao-Jung Kao, Hsiao-Huei Chen, Chih-Hsiang Yu, Yin-Hsiu Chien, Wuh-Liang Hwu, Wuh-Liang Hwu, Wuh-Liang Hwu, Pui-Yan Kwok, Pui-Yan Kwok, Pui-Yan Kwok, Ni-Chung Lee, Yung-Li Yang, Yung-Li Yang, Yung-Li Yang

Subjects: “…chromosomal structural variation…”
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Spatio-Temporal Evolution of Water Consumption and Water Utilization Structure in Pearl River District by XUE Jiao, LIU Xiyan, XU Zheng, HAN Yaxin

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Seasonal Variations in the Structure and Function of the Gut Flora in Adult Male Rhesus Macaques Reared in Outdoor Colonies by Longbao Lv, Feiyan Zhang, Haimei Zhou, Wenxian Xiao, Yingzhou Hu, Wenchao Wang, Zhu Zhu, Fangming Zhu, Dongdong Qin, Xintian Hu

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Genetic diversity, population structure, and cannabinoid variation in feral Cannabis sativa germplasm from the United States by Ademola Aina, Jonathan P. Wenger, Eliot Stanton, Chandrani Gon Majumdar, Mahmoud ElSohly, George D. Weiblen, Shelby Ellison

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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…This study proposes a novel probabilistic model called the matrix-variate Gaussian process (GP) with structured kernels while focusing on the periodicity. …”
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Variations in the Structure and Composition of Soil Microbial Communities of Different Forests in the Daxing’anling Mountains, Northeastern China by Han Qu, Mingyu Wang, Xiangyu Meng, Youjia Zhang, Xin Gao, Yuhe Zhang, Xin Sui, Maihe Li

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The Internal Structure and Dynamics of Jupiter Unveiled by a High‐Resolution Magnetic Field and Secular Variation Model by S. Sharan, B. Langlais, H. Amit, E. Thébault, M. Pinceloup, O. Verhoeven

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Along‐arc variation in the 3‐D thermal structure around the junction between the Japan and Kurile arcs by Manabu Morishige, Peter E. van Keken

“…Abstract The thermal structure in subduction zones has a strong influence on seismogenesis and arc volcanism. …”
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Genetic variation and structure shaped by recent population fragmentation in the boreal conifer Thuja koraiensis: Conservation perspectives by Eun-Kyeong Han, Ichiro Tamaki, Tae-Im Heo, Jun-Gi Byeon, Amarsanaa Gantsetseg, Young-Jong Jang, Jong-Soo Park, Jung-Hyun Lee

“…We used a genome dataset (242 SNPs) generated by the MIG-seq (Multiplexed ISSR Genotyping by Sequencing) method to evaluate the genetic diversity and structure of T. koraiensis populations across their entire distribution range. …”
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