Silencing of lncRNA PVT1 ameliorates streptozotocin-induced pancreatic β cell injury and enhances insulin secretory capacity via regulating miR-181a-5p

Diabetes mellitus (DM) is a kind of metabolic disorder characterized by long-term hyperglycemia. Accumulating evidence shows that long noncoding RNAs (lncRNAs) play significant roles in the occurrence and development of DM. This study intended to investigate the role of lncRNA plasmacytoma variant translocation 1 (PVT1) in rat insulinoma (INS-1) cells damaged by streptozotocin (STZ) and to identify the potential mechanisms. Firstly, PVT1 expression in INS-1 cells was assessed using RT-qPCR after STZ stimulation. After PVT1-knockdown, cell apoptosis, the contents of oxidative stress-related markers and the changes of insulin secretion were detected. Results indicated that PVT1 was remarkably upregulated after STZ stimulation. PVT1-knockdown inhibited STZ-induced oxidative stress and apoptosis of INS-1 cells. Moreover, the insulin secretory capacity was notably elevated following PVT1 silencing. Subsequently, a luciferase reporter assay verified that miR-181a-5p was directly targeted by PVT1. The rescue assays revealed that miR-181a-5p inhibitor dramatically abrogated the effects of PVT1 silencing on oxidative stress, apoptosis and insulin secretion. Taken together, these findings demonstrated that PVT1-knockdown could ameliorate STZ-induced oxidative stress and apoptosis and elevate insulin secretory capacity in pancreatic β cell via regulating miR-181a-5p, suggesting a promising biomarker in DM diagnosis and treatment.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author

Research on the Policy Evolution of China’s New Energy Vehicles Industry

China has formulated a series of industrial policies dedicated to the sustainable development of new energy vehicles (NEVs). Researching China’s NEVs industry policy system, particularly its staged evolution characteristics and internal logic, is essential for future optimization of NEVs supporting policy system. In this paper, we use the co-word analysis method and social network analysis method to investigate the policy evaluation of China’s NEVs industry. In total, 154 documents issued by the Chinese central government from 1991 to 2019 are chosen to describe the policy characteristics in four dimensions: policy themes, objects, key process along industry chain, and related measures. We explore policy evolution according to high-frequency words clustering. Results analyzing the policy development history showed that Chinese NEVs industry policy system has incurred the following stages: starting, initial formation, rapid expansion, and now strategic deepening. During the policy evolution in China, policy themes have emphasized the role of technology in NEV development. The industry process involved in policies has covered NEVs production, after-sales service, infrastructure, and battery management. Based on this analysis, we put forward relevant suggestions for improving China’s NEVs industry policy

Cell-Free Massive MIMO with Energy-Efficient Downlink Operation in Industrial IoT

Cell-free massive Multi-input Multi-output (MIMO) can offer higher spectral efficiency compared with cellular massive MIMO by providing services to users through the collaboration of distributed APs, and cell-free massive MIMO systems with distributed operations are attracting a great deal of industry attention due to their simplicity and ease of deployment. This paper aims to find an optimal solution for energy efficiency in the downlink operation in the Industrial Internet based on cell-free massive MIMO systems with distributed operations. A system model is proposed, and a theoretical analysis on energy efficiency is presented. The optimization problem of efficient downlink operation is formulated as a mixed-integer nonlinear programming (MINLP) problem, which is further decomposed into two sub-problems, i.e., maximizing the sum-rate of the downlink transmission and optimizing the total energy consumption. The two sub-problems are addressed via AP selection and power allocation, respectively. The simulation results demonstrate that our algorithms can significantly improve the energy efficiency with low computational complexity in comparison with traditional distributed cell-free massive MIMO. Even in the presence of pilot contamination, the proposed algorithms can still provide significant energy efficiency when a large number of IoTDs are connected

Toward a sustainable energy system in China: Status and influencing factors

This paper focused on the endogenous and exogenous factors that affect China's sustainable energy system (SES). 19 Endogenous factors, from economic sustainability dimension, social sustainability dimension, environmental sustainability dimension and energy security dimension assessed China's SES by entropy method-analytic hierarchy process-criteria importance through intercriteria correlation method (EM-AHP-CRITIC). We used urbanization, foreign direct investment and industrialization as exogenous variables and explored the extent of their long-term and short-term impacts on China's SES by autoregressive distributed lag-error correction (ARDL-ECM) model

B-scan Simulations with Abaqus for Laser Ultrasonic Inspection of Structures

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Synthesized indicator for evaluating security of strategic minerals in China: A case study of lithium

The transition of the economic growth in China from high-speed to high-quality development provides new challenges to strategic minerals (SMs) security. Under the transition, combined with its development status, but also to maintain global coexistence from the entire industrial chain, we in this paper first expound the security connotation of SMs and take lithium resources as an example to evaluate its security in China. Monte Carlo Simulation (MCS) is used for sensitivity analysis. Results show that the security level of China's lithium resources is rising but fluctuating, and it is closely related to changes in the sub-object of coexistence. Our results illustrate that the proposed synthesized security indicator can effectively evaluate the security status of China's lithium resources. Therefore, it should be possible to be adapted for evaluating the security status of other SMs