Structure and Expression Analyses of SVA Elements in Relation to Functional Genes by Yun-Jeong Kwon, Yuri Choi, Jungwoo Eo, Yu-Na Noh, Jeong-An Gim, Yi-Deun Jung, Ja-Rang Lee, Heui-Soo Kim

“…In an analysis of genomic structure, SVA elements are detected in the 5' untranslated region (UTR) of HGSNAT (SVA-B), MRGPRX3 (SVA-D), HYAL1 (SVA-F), TCHH (SVA-F), and ATXN2L (SVA-F) genes, while some elements are observed in the 3'UTR of SPICE1 (SVA-B), TDRKH (SVA-C), GOSR1 (SVA-D), BBS5 (SVA-D), NEK5 (SVA-D), ABHD2 (SVA-F), C1QTNF7 (SVA-F), ORC6L (SVA-F), TMEM69 (SVA-F), and CCDC137 (SVA-F) genes. …”
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ANALYSIS OF FACTORS AND STRUCTURE OF CONGENITAL MALFORMAYIONS OF THE GASTROINTESTINAL TRACT IN CHILDREN by Т. Сорокман, С. Сокольник

“… Congenital malformations of the gastrointestinal tract (CMGIT) rank fourth in the structure of congenital malformations in newborns. …”
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Development of the algorithm and structure of software for diagnostics of mobile power facilities by D. V. Kazakov, N. L. Gurzhi, N. E. Kurdagia

“…For the first time, the regularity of recording, processing data from primary converters and the sequence of calculating model parameters is shown, with the possibility of taking into account the characteristics of the transient processes of acceleration of the crankshaft of the internal combustion engine and the MPE, Thus, the developed algorithm and software structure are able to implement the methodology proposed by the authors of the non-standard studies of the internal combustion engine (ICE) and the moving MPE. …”
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Design and structure of overlapping regions in PCA via deep learning by Yan Zheng, Xi-Chen Cui, Fei Guo, Ming-Liang Dou, Ze-Xiong Xie, Ying-Jin Yuan

“…We further discovered structure differences represented by major groove width, stagger, slide, and centroid distance between overlapping and non-overlapping regions, which elucidated the model's reasonableness through the lens of physical chemistry. …”
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Dynamic pre-structuration of lipid nanodomain-segregating remorin proteins by Zeren Xu, Adrien Schahl, Marie-Dominique Jolivet, Anthony Legrand, Axelle Grélard, Mélanie Berbon, Estelle Morvan, Louis Lagardere, Jean-Philip Piquemal, Antoine Loquet, Véronique Germain, Matthieu Chavent, Sébastien Mongrand, Birgit Habenstein

“…Our data suggest that remorins fold in the cytosol with the N-terminal disordered region as a structural ensemble around a dimeric anti-parallel coiled-coil core containing a symmetric interface motif reminiscent of a hydrophobic Leucine zipper. …”
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Prevalence and structure of sleep disorders in neurological, psychiatric and somatic hospitals by Dmitry S. Petelin, Andrey O. Golovatyuk, Beatrice A. Volel, Mikhail Yu. Brovko, Olga Yu. Sorokina, Daria V. Troshina, Dmitri O. Rozhkov, Nikolay M. Bulanov, Paraskovya S. Sokolova, Mikhail G. Poluektov

“…Today it is well known that the structure of sleep disorders and frequency of complaints about sleep disorders depend on the diseases profile. …”
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Structure of the Secretory Compartments in Goblet Cells in the Colon and Small Intestine by Alexander A. Mironov, Irina S. Sesorova, Pavel S. Vavilov, Roberto Longoni, Paola Briata, Roberto Gherzi, Galina V. Beznoussenko

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Impact of gene-environment interactions on atrial fibrillation and cardiac structure by Panlong Li, Xirui Zhu, Min Liu, Yanfeng Wang, Chun Huang, Junwei Sun, Shan Tian, Yuna Li, Yuan Qiao, Junting Yang, Shanshan Cao, Chaohua Cong, Lei Zhao, Meiyun Wang, Jingjing Su, Dandan Tian

“…The aim of the study was to investigate the interactions between combined environmental factors and genetic susceptibility on atrial fibrillation (AF) and cardiac structures. The study included 374,495 participants from the UK Biobank, utilizing genetic data and environmental variables (including air pollution, noise, greenspace and water quality). …”
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The overgrowth of structure-function coupling in premature brain during infancy by Rong Wang, Tianyu Fang, Yue Zhang, Yue Cheng, Chunfang Wang, Yuanyuan Chen, Qiuyun Fan, Xin Zhao, Dong Ming

“…In this study, the multimodal MRI data from the dHCP database were used to investigate the coupling between brain structure and function in infants, with a particular focus on how prematurity influences this relationship. …”
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Differential diversity and structure of autotrophs in agricultural soils of Qinghai Province by Lianyu Zhou, Xuelan Ma, Qiaoyu Luo, Feng Qiao, Huichun Xie, Longrui Wang, Wenjuan Sun, Yu Liu, Yun Ma

“…Changes in the diversity, structure, and activity of the soil chemolithoautotrophic bacteria were examined in four agricultural areas, Dulan (DL), Gonghe (GH), Huzhu (HZ), and Datong (DT) counties in Qinghai Province, where wheat, oilseed rape, and barley were planted. …”
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Impact of dairy farming on gut microbiota structure and diversity of practitioners by Zhaojie WANG, Xixiao MA, Xianxia LIU, Yanggui CHEN, Xueying XIANG, Wanting XU, Jiguo JIN, Fan WU, Xiangnan WEI, Jianyong WU, Fuye LI

“…BackgroundAnimal farming may affect the structure and diversity of gut microbiota of farm workers, but it needs more studies to provide solid evidence. …”
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Preservation of cellular structure via immersion fixation in brain banking by Macy Garrood, Emma L. Thorn, Adam Goldstein, Allison Sowa, William Janssen, Alyssa Wilson, Claudia S. López, Raakhee Shankar, Erin S. Stempinski, Kurt Farrell, John F. Crary, Andrew McKenzie

“… Immersing the brain in a solution containing formaldehyde is a commonly used method for preserving the structure of human brain tissue in brain banking. However, there are questions about the quality of preservation using this method, as formaldehyde takes a relatively long period of time to penetrate a large organ such as the human brain. …”
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Preservation of cellular structure via immersion fixation in brain banking by Macy Garrood, Emma L. Thorn, Adam Goldstein, Allison Sowa, William Janssen, Alyssa Wilson, Claudia S. López, Raakhee Shankar, Erin S. Stempinski, Kurt Farrell, John F. Crary, Andrew T. McKenzie

“… Immersing the brain in a solution containing formaldehyde is a commonly used method for preserving the structure of human brain tissue in brain banking. However, there are questions about the quality of preservation using this method, as formaldehyde takes a relatively long period of time to penetrate a large organ such as the human brain. …”
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Validity and network structure of the Nomophobia Questionnaire in Peruvian medical students by Peter Garcia-Portocarrero, Deysi A. Saldaña-Amaya, Brayan Miranda-Chavez, Javier A. Flores-Cohaila, Cesar Copaja-Corzo

“…Factorial and network analyses were performed to evaluate the internal structure and dynamics of the questionnaire. Results: CFA showed an excellent fit for the 4-factor model of the NMP-Q, with factor loadings above 0.700 and high fit indices (CFI=0.996, RMSEA=0.031, SRMR=0.041). …”
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New Cure Rate Survival Models Generated by Poisson Distribution and Different Regression Structures with Applications to Cancer Data Set by Mahdy Esmailian, Reza Azimi, Diego I. Gallardo, Parviz Nasiri

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Crosscorrelation of Earthquake Data Using Stationary Phase Evaluation: Insight into Reflection Structures of Oceanic Crust Surface in the Nankai Trough by Shohei Minato, Takeshi Tsuji, Toshifumi Matsuoka, Koichiro Obana

“…Although the local earthquakes with short raypath we use to retrieve reflection response are expected to contain the higher-frequency components to detect fine-scale structures by SI, they cannot be assumed as plane waves and are inhomogeneously distributed. …”
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A Generalized Composition Approach in Network Data Envelopment Analysis for Complex Structures: An Application of Higher Education Institutions in Poland by Dimitrios Sotiros, Gregory Koronakos, Julia Żołądkiewicz

“…We present in this paper the pitfalls of the most established approach in Network Data Envelopment Analysis for units with a~parallel internal structure. …”
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A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…To solve this problem, we propose the use of expert knowledge as a hard constraint and the structural prior gained via data learning as a soft constraint. …”
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TRsv: simultaneous detection of tandem repeat variations, structural variations, and short indels using long read sequencing data by Shunichi Kosugi, Chikashi Terao

“…Abstract Tandem repeat copy number variations (TR-CNVs), structural variations (SVs), and short indels have been responsible for many diseases and traits, but no tools exist to distinguish and detect these variants. …”
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3‐D Subsurface Geophysical Modeling of the Charity Shoal Structure: A Probable Late Proterozoic‐Early Paleozoic Simple Impact Structure in Eastern Lake Ontario by Mary H. Armour, Joseph I. Boyce, Phillip Suttak, Doug Hrvoic

“…Abstract The Charity Shoal structure is a circular, ∼1.2‐km‐diameter, bedrock‐rimmed shoal in eastern Lake Ontario with a ∼20‐m‐deep central basin. …”
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