Expression and clinical significance of lncRNA NORAD in patients with gestational hypertension

Objectives: Gestational hypertension (GH), the most common type of hypertensive disorders in pregnancy, often occurs in women during pregnancy. The purpose of this study was to investigate the expression and clinical significance of lncRNA NORAD in gestational hypertension, and to discuss the possibility of lncRNA NORAD as a diagnostic marker of gestational hypertension. Material and methods: A total of 219 participants were involved in the study. Basic clinical information of all participants was collected, and the expression of NORAD in serum was detected by RT-qPCR. ROC curves were drawn to evaluate the diagnostic value of NORAD expression for gestational hypertension. Multiple linear regression analysis was done to explore the relationship between NORAD and clinical variables. Logistic regression analysis was conducted to analyze the independent influence of different variables on the development of gestational hypertension into preeclampsia. Results: The expression level of NORAD in gestational hypertension was higher than that of healthy individuals, and the expression level of NORAD in preeclampsia was higher than that of gestational hypertension and healthy individuals. The ROC curve suggested that the expression of NORAD has a higher diagnostic value for gestational hypertension. Multiple linear regression analysis showed that systolic blood pressure (SBP) and diastolic blood pressure (DBP) were correlated with the expression of NORAD. SBP, DBP and NORAD were all factors that affect the development of gestational hypertension to preeclampsia, which were known by Logistic regression analysis. Conclusions: LncRNA NORAD may be used as a biomarker for gestational hypertension diagnosis and can influence its progression into preeclampsia

Research on Carbon Emission Quota of Railway in China from the Perspective of Equity and Efficiency

Under the constraint of total carbon emissions, the allocation of carbon emission quotas of 18 railway bureaus in China is conducted to the realization of carbon emission reduction targets of China’s railway transportation industry. This paper proposes a carbon emission quota model for China’s railway industry from the perspective of equity and efficiency and innovatively undertakes research on the allocation of carbon emission quotas for railway administrations. This paper constructs an econometric model to analyze the impact of various influencing factors on China’s railway operation carbon emission and predicts the total carbon emission of China’s railway operation from 2021 to 2030 by scenario analysis method. From the perspective of equity and efficiency, apply the entropy method to give weight to historical responsibility, egalitarianism, and efficiency principle to obtain the initial allocation value of the carbon emission quota of the operator’s 18 regional railway bureau groups; the ZSG-DEA model is used to obtain the optimal allocation. The results show that railway passenger turnover, freight turnover, vehicle structure, and per capita GDP have a promoting effect on railway carbon emission, and the proportion of clean energy has an inhibitory effect on carbon emission. There is a gap between the distribution results under the single principle and the comprehensive distribution results; the combination of both can more effectively promote the development of the railway industry. From the perspective of equity and efficiency, the carbon emission quota of 18 railway bureau groups in China is high in the east and low in the west. Among them, the Shanghai railway bureau obtains the most carbon emission quota, while the Qinghai–Tibet railway bureau obtains the least carbon emission quota. The research results provide a reference for the railway bureau to coordinate emission reduction and the construction of the railway transport carbon emission market

A magnetic field-circuit coupling model for functionality and interface simulation test of railway Balise

Railway Balise is widely used in the Balise-based train control system to provide accurate location information for the safe operation of trains. In order to evaluate and analyze the functionality and interface test of a new designed Balise more rigorously and accurately, this paper build a magnetic field-circuit coupling model to quantify the internal physical function and external interface performance of the Balise. Based on the electromagnetic field theory, the down-link and up-link magnetic field models were set up which describes the relationship between the Balise and the test antenna. Then based on the equivalent circuit model, the energy conversion circuit model and the data transmission circuit model were derived, and the complete coupling model is established for functionality and interface simulation tests. Moreover, the physical behavior and interface characteristic of Balise in different situations are validated and analyzed, followed by the analysis of magnetic field conformity, I/O characteristics, impedance, start-up behavior, and up-link signal characteristics. The results show the start-up time of the Balise functionality test decreases with increasing down-link magnetic field. Furthermore, Balise impedance can be used as a new dynamic detection parameter of the Balise. Finally, the down-link magnetic field will slightly affect the uplink signal characteristics

N‑Doped Amorphous Carbon Coated Fe₃O₄/SnO₂ Coaxial Nanofibers as a Binder-Free Self-Supported Electrode for Lithium Ion Batteries

N-doped amorphous carbon coated Fe₃O₄/SnO₂ coaxial nanofibers were prepared via a facile approach. The core composite nanofibers were first made by electrospinning technology, then the shells were conformally coated using the chemical bath deposition and subsequent carbonization with polydopamine as a carbon source. When applied as a binder-free self-supported anode for lithium ion batteries, the coaxial nanofibers displayed an enhanced electrochemical storage capacity and excellent rate performance. The morphology of the interwoven nanofibers was maintained even after the rate cycle test. The superior electrochemical performance originates in the structural stability of the N-doped amorphous carbon shells formed by carbonizing polydopamine