The changes of left cardiac structure and function in the patients with non-dialysis chronic kidney disease and influencing factors by CHEN Cai-ming, CHEN Yuan, CHEN Yi, ZHANG Xiao-hong, WAN Jian-xin

“…Objective To analyze the changes of left ventricular structure and function in the patients with non-dialysis chronic kidney disease(ND-CKD)and the influencing factors.Methods The ND-CKD patients were enrolled from Jan.2013 to July 2014 in our hospital.All patients were subjected to echocardiography and the indexes were collected.Also the clinical data were collected.The indexes of left ventricular structure and function among different CKD groups were analyzed,and the correlation between the changes of cardiac structure and function were clinical data were also analyzed.Results 337 ND-CKD patients were enrolled,including 71 patients with CKD1 stage,37 patientswith CKD2 stage,28 patients with CKD3 stage,36 patients with CKD stage 4 and 165 patients with CKD stage 5.In pace with the progression of CKD,the data revealed that body mass index(BMI)and serum calcium were gradually declined(P<0.05),while blood urea nitrogen(BUN),serum creatinine(SCr),serum phosphorus,intact parathyroid hormone(iPTH)and Cystatin C gradually ascended(P<0.05).New bone metabolic markers revealed that in pace with the progression of CKD,25-(OH)-VitD gradually declined(P<0.05),but N-Osteocalcin(NOC),β-C-terminal telopeptide of typeⅠcollagen(β-CTX)and N-terminal peptide of typeⅠprocollagen(P1 NP)gradually ascended(P<0.05).Echocardiographic indexes revealed that in pace with the progression of CKD,left ventricular end diastolic dimension(LVDd),left ventricular end systolic dimension(LVDs),and left ventricular mass index(LVMI)gradually ascended(P<0.05)in cardiac structure,and SV gradually ascended(P<0.05)in cardiac function,while relative wall thickness(RWT),cardiac output(CO),left ventricular ejection fraction(LV-EF),fractional shortening(FS),and transmitral diastolic early peak inflow velocity/transmitral diastolic late peak inflow velocity(E/A)had no statistically significant difference,but E/A gradually declined and was less than1 after CKD2.Left ventricular geometric remodeling revealed that the normal LV geometry group gradually declined from CKD1 to CKD5,with84.5%,70.3%,64.3%,44.4%and38.2%respectively.The abnormal LV geometry groups gradually ascended from CKD1 to CKD5,and there were 32.1% with eccentric hypertrophy,15.2% with concentric hypertrophy,and 14.5% with concentric remodeling.Multiple linear regression revealed that the risk factors of RWT were age and serum phosphorus,the risk factor of LVDd was BMI,the risk factor of LVMI wasβ-CTX,the risk factor of SV was Cystatin C,and the protective factors of E/A were age,gender(female),Ca and BUN.Conclusions The left ventricular structure and function in the patients with ND-CKD were aggravated in pace with the progression of CKD.Age,renal function,serum phosphorus,serum calcium,iPTH,BMI andβ-CTX were related to the changes of left ventricular structure and function.…”
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A dataset of inelastic response for multi-span RC adjacent bridges with individual and hybrid seismic risk mitigation techniquesMendeley Data by Jumana Hasina, Aman Mwafy

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SP-LCC — a dataset on the structure and properties of lignin-carbohydrate complexes from hardwood by Marie Alopaeus, Matthias Stosiek, Daryna Diment, Joakim Löfgren, MiJung Cho, Jarl Hemming, Teija Tirri, Andrey Pranovich, Patrik C. Eklund, Davide Rigo, Mikhail Balakshin, Chunlin Xu, Patrick Rinke

“…The resulting database, termed SP-LCC, includes structural information extracted from nuclear magnetic resonance measurements (NMR) and data on the molar mass distribution, antioxidant activity, glass transition temperature, thermal degradation, and surface tension. …”
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Dataset exploring the atomic scale structure and ionic dynamics of polyanion sodium cathode materials by Martin Hoffmann Petersen, Jin Hyun Chang, Arghya Bhowmik, Juan Maria García Lastra

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Band structure database of layered intercalation compounds with various intercalant atoms and layered hosts by Naoto Kawaguchi, Kiyou Shibata, Teruyasu Mizoguchi

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NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function by Alessandra Rampinini, Irene Balboni, Olga Kepinska, Raphael Berthele, Narly Golestani

“…The NEBULA101 dataset offers brain structural, diffusion-weighted, task-based and resting-state MRI data, alongside extensive linguistic and non-linguistic behavioural measures to explore the complex interaction of language and cognition in a highly multilingual sample. …”
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Analysis of domain structure parameters of RFe11Ti (R = Y, Gd, Ho, Er) single crystals based on magnetic force microscopy data by A.M. Guseva, A.I. Sinkevich, S.D. Smetannikova, E.M. Semenova, Yu..G. Pastushenkov

“…The results of an experimental study of the magnetic domain structure on the basal plane of RFe11Ti single crystals (R=Y, Gd, Ho, Er) by magnetic force microscopy are presented. …”
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Does Urban Polycentric Structure Improve Carbon Emission Efficiency? A Spatial Panel Data Analysis of 279 Cities in China from 2012 to 2020 by Shihan Zhang, Yanxin Xue, Shuzhen Jin, Zhenghong Chen, Suiying Cheng, Wei Wang

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THE HERCYNIAN IMPOSED DEFORMATIONS IN THE GOLETS VYSOCHAISHII DEPOSIT STRUCTURE (BAIKAL-PATOM BELT), <SUP>40</SUP>AR/<SUP>39</SUP>AR DATA by V. A. Vanin, A. M. Mazukabzov, D. S. Yudin, A. V. Blinov, Yu. I. Tarasova

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Reconstruction of Typhoon Structure Using 3-Dimensional Doppler Radar Radial Velocity Data with the Multigrid Analysis: A Case Study in an Idealized Simulation Context by Hongli Fu, Xinrong Wu, Wei Li, Yuanfu Xie, Guijun Han, Shaoqing Zhang

“…These data are used to reconstruct the synthetic 3D “typhoon” structure by the STMAS and the traditional 3D variational (3D-Var) analysis. …”
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Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning by Pengliang Wei, Jiao Guo, Jiaqian Lian, Chaoyang Wang

“…Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of sampling&#x2013;model structure combination on it, which may prevent full utilization of input data, especially for synthetic aperture radar images with fewer crop prior features. …”
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Wavelet based technique for multi-crack detection of a beam-like structure using the vibration data measured directly from a moving vehicle by Nguyen Viet Khoa, Tran Thanh Hai

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Custom WordPress Plugin for Native-Like Digital Health Literacy Questionnaires: Supporting the ALSATION Study by Ștefan SECRIERU

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Impact of 3D Digitising Technologies and Their Implementation by Paula Triviño-Tarradas, Diego Francisco García-Molina, José Ignacio Rojas-Sola

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Gender and age specifics of clinical status, structure-functional parameters of the heart, and their relationship with psychoemotional state of patients with chronic heart failure... by G. M. Dadashova

“…To assess gender and age specifics of clinical status, its relationship with psychoemotional state, assessment of structure-functional parameters of the heart in patients with chronic heart failure (CHF) after myocardial infarction (MI).Material and methods. …”
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An Integrated Planning and Control Framework (IPCF) for Construction Projects—Step 1: Development of the Construction Data Hub (CDH) by Mai Ghazal, Ahmed Hammad

Subjects: “…data acquisition model…”
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Lateral Impact of Travelling Fires on Structural Elements in Large Compartments: Insights from Test 1 by Naveed Alam, Ali Nadjai

“…The structural steelwork was supplied with additional dummy columns for data acquisition purposes. …”
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Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

“…Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design due to absent uncertainty quantification (UQ), thus hampering broader applications. …”
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Encryption of sensor data using the Lorentz attractor in embedded systems by Akbota Kulzhanova, Sholpan Jomartova, Talgat Mazakov

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Synthesis and structural insights of bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato) nickel (II) complex through DFT and docking investigations by K. Jayachandiran, Sv. Esha, M. Savitha Lakshmi, S. Mahalakshmi, S. Arockiasamy

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