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Objective: This study aims to analyze the prevalence of dyslipidemia and identify the cardiovascular disease (CVD) risk stratification among older adults living in Quanzhou, China’s southeast coastal region, where the ancient Maritime Silk Road starts. Methods: A population-based cross-sectional survey of 2,018 adults was conducted in 60–98-year-old residents in Quanzhou from September 2016 to March 2018 using multistage stratified cluster random sampling. The 10-year CVD risk was also estimated by applying the Chinese model recommended by the Chinese Guidelines for Prevention of Cardiovascular Diseases. Results: The overall prevalence of dyslipidemia among older adults was 56.8%. The prevalence of high total cholesterol (TC), high low-density lipoprotein cholesterol (LDL-C), low high-density lipoprotein cholesterol (HDL-C) and high triglyceride (TG) were 8.4%, 13.9%, 23.1% and 11.4%, respectively. The mean levels of TC, LDL-C, HDL-C and TG were 5.12±1.18, 3.37±0.81, 1.03±0.27 and 1.65±0.76 mmol/L, respectively. Older adults had low risk, moderate risk and high risk for CVD, which were 49.7%, 36.8% and 13.5%, respectively. Age, body mass index and abdominal obesity were significantly associated with the risk of increasing LDL-C levels and were positively correlated to CVD risk. Conclusion: The prevalence of high TC, high LDL-C, low HDL-C and high TG was relatively low among older adults in Quanzhou, but their lipid levels were high. Approximately half of the elderly adults had moderate or high CVD risk. The personalized primary prevention and control of CVD are recommended for elderly people to identify high-risk individuals.

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The toxic effects of multinanomaterial systems are receiving more attention due to their release of various nanomaterials.

We report that electrode engineering, particularly tailoring the metal work function, measurement configuration and geometric shape, has significant effects on the bipolar resistive switching (RS) in lateral memory devices based on self-doped SrTiO3 (STO) single crystals. Metals with different work functions (Ti and Pt) and their combinations are used to control the junction transport (either ohmic or Schottky-like). We find that the electric bias is effective in manipulating the concentration of oxygen vacancies at the metal/STO interface, influencing the RS characteristics. Furthermore, we show that the geometric shapes of electrodes (e.g., rectangular, circular, or triangular) affect the electric field distribution at the metal/oxide interface, thus plays an important role in RS. These systematic results suggest that electrode engineering should be deemed as a powerful approach toward controlling and improving the characteristics of RS memories.

Background: Due to graphene is currently incorporated into various consumer product and numerous new applications, determining the relationships between physicochemical properties of graphene and their toxicity is a prominent concern for environmental and health risk analysis. Data from the literatures suggested that graphene exposure may resulted in cytotoxicity, however, the toxicity data of graphene is still insu cient to point out its side because of the complexity and heterogeneity of available data on potential risks of graphene.Methods and Results: Here, we developed a meta-analysis approach for assembling published evidence on cytotoxicity based on 792 related publications, 986 cell survival rate samples, 762 IC 50 samples, and 100 LDH release samples. In this study, among corresponding attributes, we proved that the cytotoxicity of graphene assessed in the form of cell viability, IC 50 and LDH can be primarily predicted from exposure dose and detection method, diameter and surface modi cation, detection method and organ source, respectively. Furthermore, this paper provides guidance regarding three optional data sets for above-mentioned three endpoints that are chie y related to cellular toxicity for future studies and cross-validation studies based on machine learning tools including Random Forests (RFs), Support Vector Machine (SVM), LASSO regression, and Elastic Net were conducted for result veri cation.Conclusions: In summary, our study indicates that following rigorous methodological experimental and extract approaches accompanied with suitable machine learning tools, in parallel to continuous addition to reliable data set developed using our meta-analysis approach, will offer higher predictive power and accuracy, and also help to provide effective information on designing safe graphene.

The excellent functionalities of perovskite oxides and the growing demands for flexible devices lead to great interests on epitaxial growth of functional oxide films on flexible mica substrates. Understanding the film epitaxy on the substrate with a very different crystal structure is a key issue for the optimization of the film growth and hence properties. Such understanding largely depends on knowing the atomic structure of the interfaces between the films and the substrates. Here, the interface between the epitaxial films of SrTiO3 on the fluorophlogopite mica substrate is studied in detail. Two types of interfaces, clean or with secondary phase, exist in this system, leading to two types of crystallographic orientation relationships. Atomic‐resolution scanning transmission electron microscopy images reveal that at the clean interface the (111) Sr–O3 atomic plane of SrTiO3 interacts with the (001) (SiAl)2–O3 plane of mica. This interface structure and thus the epitaxy of the film are understood in light of the strong similarity of the oxygen sublattices in these two atomic planes. First‐principles calculations demonstrate strong bonding of the atoms at the interface, which is also corroborated by the observation of misfit dislocations at the interfaces.