bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lipid Metabolism Was Associated With Oocyte in vitro Maturation in Women With Polycystic Ovarian Syndrome Undergoing Unstimulated Natural Cycle
Authors: Liu Tao , Liu Dongming , Song Xueling , Qu Jiangxue , Zheng Xiaoying , Li Jia , Yang Rui , Yang Shuo , Zhang Xi , Wang Haiyan , Yan Liying , Ma Caihong , Li Rong , Yan Jie , Qiao Jie 
Published: September 2021

ObjectiveHyperlipidemia are common polycystic ovarian syndrome (PCOS)-related metabolic dysfunctions and can adversely affect assisted reproductive technology (ART) outcomes in controlled ovarian hyperstimulation (COH) cycles. The objective of this study is to analyze the relationship between lipid metabolism and ART outcomes in unstimulated natural cycles without the utilization of ovarian induction drugs, which is still uncertain.MethodsThis retrospective study included infertile women with PCOS between 21 and 40 years old undergoing unstimulated natural cycles from January 01, 2006 to December 31, 2019. Lipid metabolism was measured by body mass index (BMI) and serum biochemical parameters including total cholesterol (TC), triglycerides (TG), high and low density lipoprotein cholesterol (HDL-C and LDL-C). ART outcomes were measured by number of oocytes retrieved, oocyte maturation quality and developmental potential, clinical pregnancy and live birth.ResultsA total of 586 patients were included in this study. Multivariate Poisson log-linear analysis showed that high TC (≥5.18 mmol/L), triglycerides (TG) (≥1.76 mmol/L), LDL-C (≥3.37 mmol/L) levelsand low HDL-C levels (≤1.04 mmol/L) were significantly (PTC = 0.001, PTG &lt; 0.001, PHDL–C &lt; 0.001, PLDL–C &lt; 0.001) associated with increased number of oocytes retrieved. BMI was significantly negatively associated with maturation rate (P &lt; 0.001), fertilization rate (P &lt; 0.001) and transferrable embryo rate (P = 0.002). High TG levels and low HDL-C levels were also associated with decreased maturation rate (PTG &lt; 0.001, PHDL–C = 0.026). Logistic regression analysis showed statistically significant association between obesity (≥28.0 kg/m2) and decreased live birth rate (P = 0.004) as well as cumulative live birth rate (P = 0.007).ConclusionThis is the first study that focused on the relationship between basal lipid metabolism and ART outcomes in women with PCOS undergoing unstimulated natural cycles. The results showed that high levels of lipid metabolic parameters were associated with increased number of oocytes retrieved and obesity was closely associated with impaired oocyte maturation quality and developmental potential as well as poor live birth outcomes.
Aqueous Electrodeposition of SmCo Alloys: II. Direct Current Studies
Authors: Wei Jei C. , Schwartz Morton , Nobe Ken , Myung Nosang V. 
Published: September 2021

Previously, we reported the aqueous electrodeposition of rare earth - iron group alloys. A key factor was the complexation of the metal ions with various coordination compounds (e.g., aminoacetic acids), without which only the ferrous metal and rare earth hydroxides/oxides are deposited. In this work, samarium cobalt (SmCo) alloys were synthesized using direct current (DC) aqueous electrodeposition. The basic electrolyte solution consisted of 1 M samarium sulfamate, 0.05 M cobalt sulfate, and 0.15 M glycine, resulting in deposits containing &gt;30 at% Sm at 60°C with current density of 500 mA/cm2. Supporting electrolytes (i.e., ammonium salts) decreased the Sm content in the deposit. Crystallinity of deposited films altered from nanocrystalline to amorphous as the Sm content increased. Deposits with high Sm content (32 at%) became isotropic with reduction in magnetic saturation (Ms) and coercivity (Hc). A deposition mechanism involving stepwise reduction of the complexed Sm-Co ions by depositing hydrogen atoms was proposed.
The “DOLPHINS” Project: A Low-Cost Real-Time Multivariate Process Control From Large Sensor Arrays Providing Sparse Binary Data
Authors: Alladio Eugenio , Baricco Marcello , Leogrande Vincenzo , Pagliari Renato , Pozzi Fabio , Foglio Paolo , Vincenti Marco 
Published: September 2021

The “DOLPHINS” project started in 2018 under a collaboration between three partners: CNH Industrial Iveco (CHNi), RADA (an informatics company), and the Chemistry Department of the University of Turin. The project’s main aim was to establish a predictive maintenance method in real-time at a pilot plant (CNHi Iveco, Brescia, Italy). This project currently allows maintenance technicians to intervene on machinery preventively, avoiding breakdowns or stops in the production process. For this purpose, several predictive maintenance models were tested starting from databases on programmable logic controllers (PLCs) already available, thus taking advantage of Machine Learning techniques without investing additional resources in purchasing or installing new sensors. The instrumentation and PLCs related to the truck sides’ paneling phase were considered at the beginning of the project. The instrumentation under evaluation was equipped with sensors already connected to PLCs (only on/off switches, i.e., neither analog sensors nor continuous measurements are available, and the data are in sparse binary format) so that the data provided by PLCs were acquired in a binary way before being processed by multivariate data analysis (MDA) models. Several MDA approaches were tested (e.g., PCA, PLS-DA, SVM, XGBoost, and SIMCA) and validated in the plant (in terms of repeated double cross-validation strategies). The optimal approach currently used involves combining PCA and SIMCA models, whose performances are continuously monitored, and the various models are updated and tested weekly. Tuning the time range predictions enabled the shop floor and the maintenance operators to achieve sensitivity and specificity values higher than 90%, but the performance results are constantly improved since new data are collected daily. Furthermore, the information on where to carry out intervention is provided to the maintenance technicians between 30 min and 3 h before the breakdown.
Low-Order Scaling Quasiparticle Self-Consistent GW for Molecules
Authors: Förster Arno , Visscher Lucas 
Published: September 2021

Low-order scaling GW implementations for molecules are usually restricted to approximations with diagonal self-energy. Here, we present an all-electron implementation of quasiparticle self-consistent GW for molecular systems. We use an efficient algorithm for the evaluation of the self-energy in imaginary time, from which a static non-local exchange-correlation potential is calculated via analytical continuation. By using a direct inversion of iterative subspace method, fast and stable convergence is achieved for almost all molecules in the GW100 database. Exceptions are systems which are associated with a breakdown of the single quasiparticle picture in the valence region. The implementation is proven to be starting point independent and good agreement of QP energies with other codes is observed. We demonstrate the computational efficiency of the new implementation by calculating the quasiparticle spectrum of a DNA oligomer with 1,220 electrons using a basis of 6,300 atomic orbitals in less than 4 days on a single compute node with 16 cores. We use then our implementation to study the dependence of quasiparticle energies of DNA oligomers consisting of adenine-thymine pairs on the oligomer size. The first ionization potential in vacuum decreases by nearly 1 electron volt and the electron affinity increases by 0.4 eV going from the smallest to the largest considered oligomer. This shows that the DNA environment stabilizes the hole/electron resulting from photoexcitation/photoattachment. Upon inclusion of the aqueous environment via a polarizable continuum model, the differences between the ionization potentials reduce to 130 meV, demonstrating that the solvent effectively compensates for the stabilizing effect of the DNA environment. The electron affinities of the different oligomers are almost identical in the aqueous environment.
Knockdown of lnc-KCNC3-3:1 Alleviates the Development of Atherosclerosis via Downregulation of JAK1/STAT3 Signaling Pathway
Authors: Sun Limin , He Xin , Zhang Tao , Tao Guizhou , Wang Xin 
Published: September 2021

Background: Atherosclerosis is a major cause of coronary artery disease (CAD), and CAD is one of the main causes leading to death in most countries. It has been reported that lncRNAs play important roles in the development of atherosclerosis; thus, we aimed to explore lncRNAs that are closely related to the occurrence and development of atherosclerosis.Methods: The data GSE113079 from the GEO database was used to explore the dysregulated lncRNAs in peripheral blood mononuclear cells (PBMCs) between 93 patients with CAD and 48 healthy controls. Next, RT-qPCR was performed to detect the level of lncRNAs in HUVEC cells and CCK-8 was performed to detect cell viability. Then, flow cytometry assays were used to determine the apoptosis of HUVEC. In addition, ELISA assay was used to measure the concentrations of triglyceride (TG), low density lipoprotein cholesterin (LDL-C), and high density lipoprotein cholesterol (HDL-C). Moreover, western blot assay was used to detect the expression of proteins.Results: lnc-KCNC3-3:1 was significantly upregulated in PBMCs of patients with CAD. In addition, oxidized low density lipoprotein (oxLDL) notably inhibited the proliferation and induced the apoptosis of HUVEC, while this phenomenon was notably reversed by lnc-KCNC3-3:1 knockdown. Moreover, oxLDL significantly promoted the migration of HUVECs, which was significantly restored by knockdown of lnc-KCNC3-3:1. Moreover, lnc-KCNC3-3:1 siRNA1 could reverse oxLDL-induced HUVEC growth inhibition, and lnc-KCNC3-3:1 silencing could inhibit the expressions of p-JAK1 and p-STAT3 in oxLDL-treated HUVECs. Animal study revealed that knockdown of lnc-KCNC3-3:1 alleviated the symptom of atherosclerosis, and it could inhibit the expressions of p-JAK1, p-STAT3 and p-Akt in tissues of atherosclerosis mice.Conclusion: Knockdown of lnc-KCNC3-3:1 alleviates the development of atherosclerosis via downregulation of JAK1/STAT3 signaling pathway. These data indicated that lnc-KCNC3-3:1 might serve as a potential target for the treatment of atherosclerosis.
Left Atrioventricular Coupling Index to Predict Incident Heart Failure: The Multi-Ethnic Study of Atherosclerosis
Authors: Pezel Theo , Ambale Venkatesh Bharath , Kato Yoko , De Vasconcellos Henrique Doria , Heckbert Susan R. , Wu Colin O. , Post Wendy S. , Bluemke David A. , Cohen-Solal Alain , Henry Patrick , Lima João A. C. 
Published: September 2021

Background: Although left atrial (LA) and left ventricular (LV) structural and functional parameters have independent prognostic value as predictors of heart failure (HF), the close physiological relationship between the LA and LV suggest that the assessment of LA/LV coupling could better reflect left atrioventricular dysfunction and be a better predictor of HF.Aim: We investigated the prognostic value of a left atrioventricular coupling index (LACI), measured by cardiovascular magnetic resonance (CMR), as well as change in LACI to predict incident HF in the Multi-Ethnic Study of Atherosclerosis (MESA).Materials and Methods: In the MESA, 2,250 study participants, free of clinically recognized HF and cardiovascular disease (CVD) at baseline, had LACI assessed by CMR imaging at baseline (Exam 1, 2000–2002), and 10 years later (Exam 5, 2010–2012). Left atrioventricular coupling index was defined as the ratio of LA to LV end-diastolic volumes. Univariable and multivariable Cox proportional hazard models were used to evaluate the associations of LACI and average annualized change in LACI (ΔLACI) with incident HF after adjustment for traditional MESA-HF risk factors. The incremental risk prediction was calculated using C-statistic, categorical net reclassification index (NRI) and integrative discrimination index (IDI).Results: Among the 2,250 participants (mean age 59.3 ± 9.3 years and 47.6% male participants), 50 incident HF events occurred over 6.8 ± 1.3 years after the second CMR exam. After adjustment, greater LACI and ΔLACI were independently associated with HF (adjusted HR 1.44, 95% CI [1.25–1.66] and adjusted HR 1.55, 95% CI [1.30–1.85], respectively; both p &lt; 0.0001). Adjusted models for LACI showed significant improvement in model discrimination and reclassification compared to currently used HF risk score model for predicting HF incidence (C-statistic: 0.81 vs. 0.77; NRI = 0.411; IDI = 0.043). After adjustment, ΔLACI showed also significant improvement in model discrimination compared to the multivariable model with traditional MESA-HF risk factors for predicting incident HF (C-statistic: 0.82 vs. 0.77; NRI = 0.491; IDI = 0.058).Conclusions: In a multi-ethnic population, atrioventricular coupling (LACI), and coupling change (ΔLACI) are independently associated with incident HF. Both have incremental prognostic value for predicting HF events over traditional HF risk factors.
Misuse of Aspirin and Associated Factors for the Primary Prevention of Cardiovascular Disease
Authors: Chen Yinong , Yin Chun , Li Qing , Yu Luyao , Zhu Longyang , Hu Dayi , Sun Yihong 
Published: September 2021

Background: The value of aspirin for primary prevention continues to be debated. Data showing whether aspirin use for primary prevention adheres to established guidelines in real world practice are sparse.Methods: A total of 13,104 patients without cardiovascular diseases (CVD) were selected from the DYS-lipidemia International Study of China, a national survey of patients with dyslipidemia in 2012. The CVD risk of the participants were calculated using the 10-year risk of Ischemic Cardiovascular Diseases model. The misuse of aspirin for primary prevention was defined as having CVD risk &lt;10% with daily aspirin. Multivariate logistic regression models were used to explore risk factors associated with aspirin misuse.Results: The proportion of the patients categorized as low, moderate and high risk for CVD were 52.9, 21.6, and 25.4% respectively. The misuse frequency of aspirin was 31.0% (2,147/6,933) in patients with low risk. The misuse of aspirin increased with aging for both men and women. In the multivariate analysis, the independent risk factors associated with aspirin misuse were hypertension, diabetes mellitus, a family history of premature CVD, and elderly age. Level of total cholesterol is negatively associated with aspirin misuse. Patients from low level hospitals are more likely to be taking aspirin inappropriately. Results remained consistent after including 2,837 patients having 10-year risk for CVD between 10 and &lt;20%.Conclusion: The misuse of aspirin for primary prevention is common in patients having CVD risk &lt;10%. There are important opportunities to improve evidence-based aspirin use for the primary prevention of CVD in Chinese patients.Clinical Trial Registration:https://clinicaltrials.gov/, identifier [NCT01732952].
Correlation Analysis of Hemoglobin-to-Red Blood Cell Distribution Width Ratio and Frailty in Elderly Patients With Coronary Heart Disease
Authors: Qu Jiling , Zhou Ting , Xue Mengxin , Sun Huiping , Shen Yijing , Chen Yuhui , Tang Lei , Qian Lin , You Jiachun , Yang Ruohan , Liu Yongbing 
Published: September 2021

Background:Coronary heart disease (CHD) is a common chronic disease in the elderly. Frailty can accelerate the development of CHD and lead to adverse health outcomes. Risk prediction and decision-making for frailty are crucial. The peripheral hemoglobin-to-red blood cell distribution width ratio (HRR) is a novel biomarker of inflammation. Our purpose was to explore the correlation between HRR and frailty in elderly patients with CHD.Methods:This cross-sectional study evaluated 245 Chinese hospitalized patients with CHD. Blood parameters measured upon admission were obtainedviathe hospital electronic information medical record system. The Fried Frailty Phenotype Scale was used to evaluate the frailty status of the participants. The Receiver operating characteristic curve was used to determine the optimal cut-off values of HRR. We used univariate analysis to examine the potential factors affecting frailty. Kendall's tau-b grade correlation was used to analyze the correlation between HRR and frailty. The ordered logistic regression model was used to analyze the relationship between HRR and frailty.Results:A total of 233 elderly patients with CHD were included in our study. Among the patients, 33.48% (78) were in a state of frailty. The optimal cut-off values of HRR was 9.76. The area under the curve (AUC) for HRR in the frailty patients was 0.652, exceed Hb (AUC = 0.618) and RDW (AUC = 0.650). Kendall's tau-b grade correlation analysis showed that HRR (K = −0.296,P&lt; 0.001) was negatively correlated with frailty. The ordered logistic regression analysis determined that lower HRR was associated with frailty (P&lt; 0.05) after adjusted for age, body mass index, number of drugs, comorbidity index, heart failure, red blood cells, albumin, total cholesterol, triglyceride, high density lipoprotein cholesterol, and low density lipoprotein cholesterol.Conclusion:Lower HRR is an independent risk factor for frailty in elderly hospitalized patients with CHD. HRR was a more powerful prognostic indicator for frailty than either Hb or RDW alone. Clinicians should focus on timely identification of the risk of frailty in order to improve patient quality of life and to reduce the risk of complications.
High Level of Uromodulin Increases the Risk of Hypertension: A Mendelian Randomization Study
Authors: You Ruilian , Chen Lanlan , Xu Lubin , Zhang Dingding , Li Haitao , Shi Xiaoxiao , Zheng Yali , Chen Limeng 
Published: September 2021

Background: The association of uromodulin and hypertension has been observed in clinical studies, but not proven by a causal relationship. We conducted a two-sample Mendelian randomization (MR) analysis to investigate the causal relationship between uromodulin and blood pressure.Methods: We selected single nucleotide polymorphisms (SNPs) related to urinary uromodulin (uUMOD) and serum uromodulin (sUMOD) from a large Genome-Wide Association Studies (GWAS) meta-analysis study and research in PubMed. Six datasets based on the UK Biobank and the International Consortium for Blood Pressure (ICBP) served as outcomes with a large sample of hypertension (n = 46,188), systolic blood pressure (SBP, n = 1,194,020), and diastolic blood pressure (DBP, n = 1,194,020). The inverse variance weighted (IVW) method was performed in uUMOD MR analysis, while methods of IVW, MR-Egger, Weighted median, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) were utilized on sUMOD MR analysis.Results: MR analysis of IVM showed the odds ratio (OR) of the uUMOD to hypertension (“ukb-b-14057” and “ukb-b-14177”) is 1.04 (95% Confidence Interval (CI), 1.03-1.04, P &lt; 0.001); the effect sizes of the uUMOD to SBP are 1.10 (Standard error (SE) = 0.25, P = 8.92E-06) and 0.03 (SE = 0.01, P = 2.70E-04) in “ieu-b-38” and “ukb-b-20175”, respectively. The β coefficient of the uUMOD to DBP is 0.88 (SE = 0.19, P = 4.38E-06) in “ieu-b-39” and 0.05 (SE = 0.01, P = 2.13E-10) in “ukb-b-7992”. As for the sUMOD, the OR of hypertension (“ukb-b-14057” and “ukb-b-14177”) is 1.01 (95% CI 1.01–1.02, all P &lt; 0.001). The β coefficient of the SBP is 0.37 (SE = 0.07, P = 1.26E-07) in “ieu-b-38” and 0.01 (SE = 0.003, P = 1.04E-04) in “ukb-b-20175”. The sUMOD is causally associated with elevated DBP (“ieu-b-39”: β = 0.313, SE = 0.050, P = 3.43E-10; “ukb-b-7992”: β = 0.018, SE = 0.003, P = 8.41E-09).Conclusion: Our results indicated that high urinary and serum uromodulin levels are potentially detrimental in elevating blood pressure, and serve as a causal risk factor for hypertension.
Trend and Impact of Concomitant CABG and Multiple-Valve Procedure on In-hospital Outcomes of SAVR Patients
Authors: Wu Jing , Cong Xiaoqiang , Lou Zhiyang , Zhang Mingyou 
Published: September 2021

Background: The trends of concomitant CABG and multiple-valve procedures and their impact on in-hospital outcomes in the context of transcatheter aortic valve replacement are unexplored.Methods: This was a retrospective cohort study using the administrative database of the U.S. national inpatient sample from 2012 to 2018 to identify patients who underwent SAVR with or without concomitant CABG and/or multiple-valve procedures.Results: During the study period, a total of 75,763 representing 378,815 patients underwent SAVR nationwide were identified, of whom 42,993 (55.1%) experienced isolated SAVR, 27,133 (34.8%) underwent concomitant CABG, 5,637 (7.2%) underwent multiple-valve procedures, and 2,298 (2.9%) underwent both concomitant CABG and multiple-valve procedures. The rate of multiple-valve procedures increased from 6.1% in 2012 to 9.2% in 2018 (P &lt; 0.001 for trend). In-hospital mortality was 2.1, 3.9, 7.3, and 11.2% for isolated SAVR, SAVR with CABG, SAVR with multiple-valve procedures, and SAVR with CABG and multiple-valve procedures, respectively. After propensity matching, compared to isolated SAVR, the risk ratio for in-hospital mortality associated with concomitant CABG was 1.54 (CI 1.39-1.70). In multiple-valve procedures, it was 2.36 (CI 1.97-2.83), and in concomitant CABG and multiple-valve procedures, it was 2.92 (CI 2.29-3.73).Conclusions: The proportion of patients receiving multiple-valve procedures is increasing. While concomitant CABG moderately increased in-hospital mortality, multiple-valve procedures dramatically increased in-hospital mortality and complications, even after propensity score matching
Mineral Element Stocks in the Yedoma Domain: A Novel Method Applied to Ice-Rich Permafrost Regions
Authors: Monhonval Arthur , Mauclet Elisabeth , Pereira Benoît , Vandeuren Aubry , Strauss Jens , Grosse Guido , Schirrmeister Lutz , Fuchs Matthias , Kuhry Peter , Opfergelt Sophie 
Published: September 2021

With permafrost thaw, significant amounts of organic carbon (OC) previously stored in frozen deposits are unlocked and become potentially available for microbial mineralization. This is particularly the case in ice-rich regions such as the Yedoma domain. Excess ground ice degradation exposes deep sediments and their OC stocks, but also mineral elements, to biogeochemical processes. Interactions of mineral elements and OC play a crucial role for OC stabilization and the fate of OC upon thaw, and thus regulate carbon dioxide and methane emissions. In addition, some mineral elements are limiting nutrients for plant growth or microbial metabolic activity. A large ongoing effort is to quantify OC stocks and their lability in permafrost regions, but the influence of mineral elements on the fate of OC or on biogeochemical nutrient cycles has received less attention and there is an overall lack of mineral element content analyses for permafrost sediments. Here, we combine portable X-ray fluorescence (pXRF) with a bootstrapping technique to provide i) the first large-scale Yedoma domain Mineral Concentrations Assessment (YMCA) dataset, and ii) estimates of mineral element stocks in never thawed (since deposition) ice-rich Yedoma permafrost and previously thawed and partly refrozen Alas deposits. The pXRF method for mineral element quantification is non-destructive and offers a complement to the classical dissolution and measurement by optical emission spectrometry (ICP-OES) in solution. Using this method, mineral element concentrations (Si, Al, Fe, Ca, K, Ti, Mn, Zn, Sr and Zr) were assessed on 1,292 sediment samples from the Yedoma domain with lower analytical effort and lower costs relative to the ICP-OES method. The pXRF measured concentrations were calibrated using alkaline fusion and ICP-OES measurements on a subset of 144 samples (R2 from 0.725 to 0.996). The results highlight that i) the mineral element stock in sediments of the Yedoma domain (1,387,000 km2) is higher for Si, followed by Al, Fe, K, Ca, Ti, Mn, Zr, Sr, and Zn, and that ii) the stock in Al and Fe (598 ± 213 and 288 ± 104 Gt) is in the same order of magnitude as the OC stock (327–466 Gt).