Structural and Dynamical Effects of the CaO/SrO Substitution in Bioactive Glasses by Margit Fabian, Matthew Krzystyniak, Atul Khanna, Zsolt Kovacs

“…Motivated by these recent developments, the effect of SrO/CaO–CaO/SrO substitution on the local structure and dynamics of Si-Na-P-Ca-O oxide glasses has been studied in this work. …”
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Determinants of child malnutrition and morbidity in Ethiopia: a structural equation modeling approach by Birhanu Betela Warssamo, Denekew Bitew Belay, Denekew Bitew Belay, Ding-Geng Chen, Ding-Geng Chen

“…Thus, this study aims to investigate the underlying risk factors by employing a structural equation model to analyze malnutrition as a mediator in the relationship between selected factors and morbidity.MethodsThe study utilized data from the 2016 Ethiopia Demographic and Health Survey and a sample of 8,560 under-five children were considered. …”
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Choroid plexus aging: structural and vascular insights from the HCP-aging dataset by Zhe Sun, Chenyang Li, Jiangyang Zhang, Thomas Wisniewski, Yulin Ge

“…Abstract Background The choroid plexus (ChP), a highly vascularized structure within the ventricles, is essential for cerebrospinal fluid (CSF) production and metabolic waste clearance, crucial for neurofluid homeostasis and cognitive function. …”
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High Resolution Mass Spectrometry Fragmentation Rules of Etomidate and Its Structural Analogues by FAN Xian-yu, ZHU Xue-yan, WANG Xin, XIANG Ping, ZHAO Jun-bo

“…ObjectiveTo explore the characteristic fragment ions, ion abundance ratios and mass spectrometry fragmentation rules of etomidate and its structural analogues by using gas chromatography-quadrupole/orbitrap mass spectrometry （GC-Q/Orbitrap MS） and liquid chromatography-linear ion trap quadrupole-orbitrap mass spectrometry （LC-LTQ-Orbitrap MS） techniques, providing important data support for the identification and prediction of etomidate structural analogues.MethodsGC-Q/Orbitrap MS and LC-LTQ-Orbitrap MS were used to analyze metomidate, etomidate, isopropoxate and propoxate, to obtain their GC high resolution mass spectra and LC high resolution mass spectra.ResultsUnder the electron impact （EI） ion source mode, etomidate, metomidate and the other two analogues all produced their molecular ions and seven identical fragment ions （m/z 77.038 6, 79.054 2, 95.024 0, 105.069 9, 143.073 0, 172.099 5 and 199.086 6）, among which isopropoxate and propoxate also produced characteristic fragment ions m/z 216.089 3. …”
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Modeling factors related to earthquake preparedness: a structural equation modeling approach by Azadeh Fatehpanah, Elham Maraghi, Anthony Coetzer-Liversage, Mahmood Karimy, Amir H. Pakpour, Majed Maripour, Nematollah Jaafarzadeh Haghighi Fard, Marzieh Araban

“…Structural equation modeling (SEM) was employed to analyze TPB constructs, including attitudes, subjective norms, perceived behavioral control, and intentions, in relation to earthquake preparedness behaviors. …”
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L-Ornithine derivatives with structural hetaryl and alkyl moiety: Synthesis and antibacterial activity by T. G. Bodrova, U. A. Budanova, Yu. L. Sebyakin

“…Nine new lipoamino acid cationic bivalent amphiphiles based on L-ornithine were synthesized. The structure of the obtained compounds was confirmed by nuclear magnetic resonance 1H spectroscopy and mass spectrometry data. …”
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Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease by Julie Ottoy, Min Su Kang, Jazlynn Xiu Min Tan, Lyndon Boone, Reinder Vos de Wael, Bo-yong Park, Gleb Bezgin, Firoza Z. Lussier, Tharick A. Pascoal, Nesrine Rahmouni, Jenna Stevenson, Jaime Fernandez Arias, Joseph Therriault, Seok-Jun Hong, Bojana Stefanovic, JoAnne McLaurin, Jean-Paul Soucy, Serge Gauthier, Boris C. Bernhardt, Sandra E. Black, Pedro Rosa-Neto, Maged Goubran

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Cancer pain and quality of life structural equation model based on the biopsychosocial model by Xiaoyu Hu, Jingjing Lü, Chang Qin, Xiaoxuan Liu, Jianbiao Zhu, Yongchun Cui

“…Abstract Objective This study employed a biopsychosocial framework to develop structural equation models(SEM)quantifying the multidimensional impact of pain on quality of life in cancer patients, aiming to provide scientific evidence and novel clinical perspectives for evidence-based pain management strategies. …”
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Modelling and optimisation of the structural performance of lightweight polypropylene fibre-reinforced LECA concrete by Idris Ahmed Ja'e, Zakaria Che Muda, Mugahed Amran, Agusril Syamsir, Chiemela Victor Amaechi, Ebrahim Hamid Hussein Al-Qadami, Marco Antonio Díaz Huenchuan, Siva Avudaiappan

“…However, achieving an optimal balance between structural weight, and performance remains a challenging endeavour. …”
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STRUCTURAL FEATURES OF PURULENT INFLAMMATORY DISEASES OF THE MAXILLOFACIAL REGION IN RESIDENTS OF THE POLTAVA REGION by D.V. Steblovskyi, M.G. Skikevich, V.V. Bondarenko

“…The aim of the study. Investigate the structure and frequency of purulent inflammatory diseases in residents of Poltava region. …”
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Structural Geomorphology and Tectonic Dynamism of the Lolodorf Segment, Nyong Complex, SW Cameroon by Messi Ottou Eric José, Etoundi Akoa Philémon Rémi, Ntieche Benjamin, Ntomba Sylvestre Martial, Evina Aboula Yannick Saturnin, Ndjigui Paul-Désiré

“… The study of the structural geomorphology and tectonic dynamism of the Lokoundjé and Nyong watersheds has made possible to discriminate the essential geological objects of the Lolodorf region (3°10’- 3°25’N, 10°40’- 10°55’E), in Southern Cameroon. …”
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Structural and morphological features of microcrystalline сellulose from industrial hemp hurd by L. O. Barybina, T. V. Tkachenko, O. O. Haidai, V. S. Sokol, B. V. Korinenko, D. S. Kamenskyh, Y. V. Sheludko, V. A. Povazhny, V. A. Bohatyrenko, S. V. Ruban, V. O. Yevdokymenko

“…To obtain microcrystalline cellulose, the hemp hurd was subjected to organo-solvent cooking. The structure and morphology of the MCC were studied using methods such as XRD, XRF, FTIR-ATR, low-temperature nitrogen sorption-desorption, AFM, TGA, and DSC. …”
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Structural effects of high laser power densities on an early bacteriorhodopsin photocycle intermediate by Quentin Bertrand, Przemyslaw Nogly, Eriko Nango, Demet Kekilli, Georgii Khusainov, Antonia Furrer, Daniel James, Florian Dworkowski, Petr Skopintsev, Sandra Mous, Isabelle Martiel, Per Börjesson, Giorgia Ortolani, Chia-Ying Huang, Michal Kepa, Dmitry Ozerov, Steffen Brünle, Valerie Panneels, Tomoyuki Tanaka, Rie Tanaka, Kensuke Tono, Shigeki Owada, Philip J. M. Johnson, Karol Nass, Gregor Knopp, Claudio Cirelli, Christopher Milne, Gebhard Schertler, So Iwata, Richard Neutze, Tobias Weinert, Jörg Standfuss

“…Although the effects of high laser power densities on the overall structure are small, in the upper excitation range we observe significant changes in retinal conformation and increased heating of the functionally critical counterion cluster. …”
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The arabic version of the fat phobia scale—short form: reliability and structural validity by Hadeel Ghazzawi, Ahmad Alenezi, Sally Souraya, Omar Alhaj, Khaled Trabelsi, Adam Amawi, Mai Helmy, Zahra Saif, Beatrice “Bean” E. Robinson, Haitham Jahrami

“…According to the fit indices, the F-Scale 14 demonstrated a satisfactory level of structural validity in Arab cultures. Fit indices are statistical measures used in confirmatory factor analysis (CFA) to assess how well a proposed model fits the observed data. …”
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Structural abnormalities of the cerebellar gray matter and cerebellar peduncles in cervical dystonia patients by Mingjing Qiu, Yongsheng Xiang, Lixi Li, Lizhen Pan, Yunping Song, Liang Feng, Lingjing Jin

“…Between-group differences in gray matter volumes of cerebellar subregions and fiber morphometric properties of the cerebellar peduncles (CP) were investigated using voxel-based, region of interest-based and fixel-based analysis, respectively. The significant structural changes were correlated with clinical data, including disease duration and the first section of TWSTRS. …”
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Structural Variations Associated with Adaptation and Coat Color in Qinghai‐Tibetan Plateau Cattle by Xiaoting Xia, Fuwen Wang, Xiaoyu Luo, Shuang Li, Yang Lyu, Yining Zheng, Zhijie Ma, Kaixing Qu, Rende Song, Jianyong Liu, Jicai Zhang, Basang Wangdui, Basang Zhuzha, Suolang Quji, Li Zhao, Silang Wangmu, Ciren Luobu, Nima Cangjue, Danzeng Luosang, Suolang Sizhu, Haijian Cheng, Ruizhe Li, Zhipeng Wu, Ruihua Dang, Yongzhen Huang, Xianyong Lan, Luohao Xu, Haifei Hu, WaiYee Low, Zhuqing Zheng, Yu Wang, Yuanpeng Gao, Lu Deng, Johannes A. Lenstra, Jianlin Han, Xueyi Yang, Wenfa Lyu, Bizhi Huang, Chuzhao Lei, Ningbo Chen

“…Abstract Structural variations (SVs) play crucial roles in the evolutionary adaptation of domesticated animals to natural and human‐controlled environments, but SVs have not been explored in Tibetan cattle, which recently migrated and rapidly adapted to the high altitudes of the Qinghai‐Tibetan Plateau (QTP). …”
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Comparative analysis of the organelle genomes of seven Rosa species (Rosaceae): insights into structural variation and phylogenetic position by Rongxiang Zhang, Shuwen Liu, Ying Liu, Pei Wei, Niyan Xiang, Yuemei Zhao, Xiaoman Gao, Xiaoman Gao, Yebing Yin, Lijun Qin, Tao Yuan, Tao Yuan

“…The second- and third-generation data for the other five Rosa species were downloaded from the NCBI database. …”
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Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging by Chun-Han Chang, Stefano Sfarra, Nan-Jung Hsu, Yuan Yao

“…The study focuses on reducing noise and nonstationary backgrounds in data collected through active infrared thermography (AIRT) for defect detection in materials. …”
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Structured-illumination reflectance imaging for the evaluation of microorganism contamination in pork: effects of spectral and imaging features on its prediction performance by Binjing Zhou, Xiaohua Liu, Yan Ge, Kang Tu, Jing Peng, Juan Francisco García-Martín, Jie Wu, Weijie Lan, Leiqing Pan

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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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