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To explore the potential clinical value of platelet parameters in early pregnancy in predicting gestational diabetes mellitus (GDM).A total of 1188 singleton pregnant women were included in the regular antenatal examination and delivered in the First Affiliated Hospital of Sun Yat-Sen University from January 2016 to December 2018, who had no pre-pregnancy diabetes, no factors leading to elevated blood glucose level, no medical complications and no other obstetrical complications. Blood routine examination was performed at the 11-13There were significant differences in platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), and plateletcrit (PCT) between the GDM group and the normal group (MPV and PCT in early pregnancy are potential indicators in predicting gestational diabetes mellitus.

In cellular vehicular communications, high density and mobility of vehicles require frequent resource allocation, which can cause network congestion and large signalling and processing delay. To overcome this problem, we propose a novel semi-persistent resource allocation scheme based on a two-tier heterogeneous network architecture. The architecture includes a central macro base station (MBS) and multiple roadside units (RSU). In the proposed semi-persistent scheme, the MBS pre-allocates persistent resource to RSUs based on predicted traffic, and then allocates dynamic resource upon real-time requests from RSUs while vehicles simultaneously communicate using the pre-allocated resource. A simple Space-Time k-Nearest Neighbour (ST-kNN) method is developed for short-term traffic prediction, and a geometric water-filling algorithm is developed for minimizing the relative latency. Simulation results validate the effectiveness of the proposed semi-persistent scheme in comparison with two benchmark schemes.

Due to safety and reliability concerns, high-voltage solid-state switch is required for electron cyclotron resonance heating system on J-TEXT Tokamak. It cuts off the power supply within a little time usually in microseconds, when a fault occurs. At present, wide-bandgap semiconductors based on silicon carbide (SiC) show superior material properties enabling potential power device operation at higher voltage, current, and switching speeds than current silicon (Si) semiconductors. SiC metal–oxide–semiconductor field-effect transistors (MOSFETs) are considered to be a better solution for the basic component of the switch than Si insulated gate bipolar transistors (IGBTs). To solve the problem of voltage balancing in series-connected MOSFETs, a submodule with four, 1.7 kV/40 A rated MOSFETs in series has been developed and experimentally tested. A voltage-clamped snubber circuit is designed to control the overvoltage of each MOSFET. The turn-off performance of the proposed circuit and traditional circuit has been compared by simulation, and the submodule has also been evaluated in a dual-pulse test. Finally, the solid-state switch with 16 submodules in series has been tested by a dummy load. The experimental results show that switch can operate successfully, and the switching performance satisfies the anticipated demand.

Objective: Arterial stiffness is a risk factor for cardiovascular disease, including heart failure with preserved ejection fraction (HFpEF). MGP (matrix Gla protein) is implicated in vascular calcification in animal models, and circulating levels of the uncarboxylated, inactive form of MGP (ucMGP) are associated with cardiovascular disease-related and all-cause mortality in human studies. However, the role of MGP in arterial stiffness is uncertain. Approach and Results: We examined the association of ucMGP levels with vascular calcification, arterial stiffness including carotid-femoral pulse wave velocity (PWV), and incident heart failure in community-dwelling adults from the Framingham Heart Study. To further investigate the link between MGP and arterial stiffness, we compared aortic PWV in age- and sex-matched young (4-month-old) and aged (10-month-old) wild-type and Mgp +/− mice. Among 7066 adults, we observed significant associations between higher levels of ucMGP and measures of arterial stiffness, including higher PWV and pulse pressure. Longitudinal analyses demonstrated an association between higher ucMGP levels and future increases in systolic blood pressure and incident HFpEF. Aortic PWV was increased in older, but not young, female Mgp +/− mice compared with wild-type mice, and this augmentation in PWV was associated with increased aortic elastin fiber fragmentation and collagen accumulation. Conclusions: This translational study demonstrates an association between ucMGP levels and arterial stiffness and future HFpEF in a large observational study, findings that are substantiated by experimental studies showing that mice with Mgp heterozygosity develop arterial stiffness. Taken together, these complementary study designs suggest a potential role of therapeutically targeting MGP in HFpEF.

Background: The pulmonary artery pulsatility index (PAPi), calculated from the ratio of the pulmonary artery pulse pressure to right atrial pressure, is a predictor of right ventricular failure after inferior myocardial infarction and left ventricular assist device implantation. Whether PAPi is associated with adverse outcomes across a heterogeneous population is unknown. Methods: We examined consecutive patients undergoing right heart catheterization between 2005 and 2016 in a hospital-based cohort. Multivariable Cox models were utilized to examine the association between PAPi and all-cause mortality, major adverse cardiac events, and heart failure hospitalizations. Results: We studied 8285 individuals (mean age 63 years, 39% women) with median PAPi across quartiles 1.7, 2.8, 4.2, and 8.7, who were followed over a mean follow-up of 6.7±3.3 years. Patients in the lowest PAPi quartile had a 60% greater risk of death compared with the highest quartile (multivariable-adjusted hazard ratio, 1.60 [95% CI, 1.36–1.88], P P P P Conclusions: Compared with the highest PAPi quartile, patients in PAPi quartiles 1 to 3 had a greater risk of all-cause mortality, major adverse cardiac events, and heart failure hospitalizations, with greatest risk observed in the lowest quartile. A low PAPi, even at values higher than previously reported, may serve an important role in identifying high-risk individuals across a broad spectrum of cardiovascular disease.

BACKGROUND AND AIMS Prior work from the Dialysis Outcomes and Practice Patterns Study (DOPPS) showed the HCV incidence and prevalence in China in 2012–15 to be the second highest and upper third, respectively, among 15 different countries/regions. With direct-acting antivirals (DAA) approved in 2017 in China, we have utilized the DOPPS-China study to: (1) determine if HCV prevalence and incidence in Chinese HD patients has changed after DAAs became available and (2) to understand how HCV is treated, monitored and managed in Chinese HD facilities and non-dialysis chronic kidney disease (CKD) clinics. METHOD Detailed data for 1700 HD patients were collected from 39 randomly selected HD facilities in Beijing, Shanghai and Guangzhou participating in the DOPPS 7-China study (2019–21). Study site medical directors completed a survey regarding HCV treatment and management practices for HD and ND-CKD patients. HCV prevalence was calculated based on an initial cross-section (n = 1279) of study patients, and HCV incidence was based on 1197 patients who were HCV negative at baseline, had ≥2 HCV antibody measurements during follow-up, and were treated in facilities accepting HCV + patients. The median study follow-up was 1.2 years. RESULTS HCV prevalence in this 2019–21 cohort was 7.4% (Table 1), which was CONCLUSION HCV continues to be prevalent among Chinese HD patients despite the prevalence appearing to be lower now than that seen in the 2009–15 DOPPS-China cohorts. However, most HCV + HD patients remain untreated, which may be due to financial/cost reimbursement barriers and patients’ non-acceptance of HCV treatment. If such barriers can be overcome, then Chinese HD facilities and associated specialists, as described here in DOPPS 7, appear to be well-equipped and organized to successfully treating and managing their HCV + HD and CKD patients in order to achieve the WHO goal of eliminating HCV by 2030.

As technology continues to advance, virtual reality (VR) video services are able to provide an increasingly realistic video experience. VR applications are limited, since the creation of an immersive experience requires processing and delivery of incredibly huge amounts of data. A potential technique to decrease the operation time for VR, as well as its energy use, is mobile edge computing (MEC). In this study, we develop a VR network in which several MEC servers can supply field-of-view (FOV) files to a VR device in order to satisfy the transmission requirements of VR video service and improve the quality of the experience. In this way, the projection process from 2D FOV to 3D FOV and the cached data is possible on an MEC server or a VR device. A cooperative computational offloading and caching strategy is developed as a decision matrix to reduce transmission requirements based on the service time constraint requirement. The VR video service mechanism is examined through the decision matrix. The trade-off between communication, caching, and computation (3C trade-off) is further implemented by means of a closed equation for the decision matrix. Results from simulations show that the suggested technique can perform close to optimally compared to alternative opposing methods.

The multimode power splitter plays an essential role in on-chip mode-division multiplexing systems. In this work, a broadband dual-mode optical power splitter based on the self-imaging effect in the multimode interference (MMI) engineered by bricked subwavelength gratings (BSWGs) is proposed. The dual-mode power splitter is optimized by combining the 3D finite difference time domain (FDTD) and the particle swarm optimization (PSO) method. For the input T E 0 mode, the insertion loss (IL) and the imbalance (IB) are lower than 0.55 dB and 0.65 dB, while the IL and IB for the input T E 1 mode are, respectively, lower than 0.7 dB and 0.37 dB over 150 nm bandwidth in the wavelength range of 1.5–1.65 µm. In addition, the cross talk (CT) is lower than − 25 d B for the two modes over this wavelength range. Furthermore, the minimum feature size of the gratings is as large as 135 nm, and only a single etch step is required, which is beneficial for the fabrication.

We propose and experimentally demonstrate a scheme for the photonic generation of pulsed microwave signals with selectable frequency based on spectral shaping and wavelength-to-time mapping (WTTM) technique. The frequency selectivity is realized by channel switching on an integrated silicon-on-insulator (SOI) spectral shaping chip. The incident signal is spectrally shaped by the asymmetric Mach-Zehnder interferometer (MZI) in the selected channel, and an optical spectrum with uniform free spectral range (FSR) can be generated in a broad bandwidth up to dozens of nanometers, implying large microwave signal duration after WTTM if a pulse light source with matched bandwidth is available. Microwave pulses of frequency from 3.6 GHz to 28.4 GHz with a fixed interval are experimentally generated respectively. The realization of eight microwave frequencies selectable with only one shared dispersive element (DE) required indicates high expansibility in the frequency cover range of our scheme by tuning the dispersion value in WTTM.

Copper nanoclusters (Cu NCs) were a new class of non-toxic and economical nanoprobe. However, the low luminescence performance and instability of Cu NCs limited the actual application. Herein, this work developed the novel controllable assembly of Cu NCs aggregation as the electrochemiluminescence (ECL) emitter. Firstly, the hydrophilic Cu NCs was located into the micelles in the reverse microemulsion system. Due to the uniform size of micelles, the number of Cu NCs in each micelle can be controlled exactly. Cerium ions were added to induce Cu NCs to accumulate in micelles. The strong aggregation induced ECL (AIECL) signal can be observed in the controllable assembly of Cu NCs aggregation. The nano-sized Cu NCs assembly not only possessed more strong luminescence and better stability than original Cu NCs, but also kept the good dispersibility over the aggregated bulk. Furthermore, SnS

ObjectiveAs the high proportion of underweight pregnant women, omission of their weight gain and blood lipids management during gestation might lead to adverse pregnancy outcomes. This study aimed to determine the relationship between lipid profile and risks for adverse pregnancy outcomes in pre-pregnancy underweight women.MethodsThis study was part of an ongoing cohort study including Chinese gravidas delivered from January 2015 to December 2016. Included subjects were grouped into underweight, normal-weight, and overweight by BMI before conception. Logistic regression was used to assess the association between lipid profiles during second trimester and adverse obstetric outcomes in each group. A subgroup analysis according to the gestational weight gain, in which subjects in each group were divided into above and within the Institute of Medicine (IOM) recommendations, was performed.ResultsA total of 6, 223 women were included. The proportion of underweight (19.3%) was similar to that of overweight women (19.4%) in South China. Peripheral total cholesterol (TC) level in underweight women was significantly higher than that in overweight women (P ConclusionUnderweight pregnant women with high TC levels had a higher risk for LGA, especially among women whose gestational weight gain were above the IOM recommendations. Therefore, clinical management of lipids and weight gain during gestation should also be recommended for underweight women.

Although multiple studies have shown that resettled refugee women are less likely to receive preventative cancer screenings like pap smears and mammograms, a small number have demonstrated the opposite. This retrospective chart review, conducted between January 2017 and October 2018, compares pap smear and mammogram rates of patients seen in a refugee-specific OB/GYN clinic with patients from the general OB/GYN clinic at the same institution. Data from 298 patients (149 refugee and 149 general clinic patients matched by age and date-of-visit) were analyzed. Pap smear screening rates were 90.60% in the refugee group and 73.83% in the general group [p 0.009, aOR 3.46 (1.36-8.81)], while mammogram screening rates were 36.84% and 38.60%, respectively (p = 0.46). The provision of holistic services meeting refugee women's unique needs can effectively increase pap smear screening rates.

This research proposes an automatic instance-wise depth image estimation method for Unseen Object Amodal Instance Segmentation (UOAIS), which predicts depth images automatically by sharing features of other prediction branches. The depth images can provide valuable information for amodal mask generation. To achieve good performance, the model estimates the depth images in two steps by adding two extra depth branches to the original UOAIS model. A new feature fusion scheme incorporating these two branches is also designed to facilitate information sharing between tasks. The new model is evaluated on OCID and UOAIS-Sim evaluation datasets. Compared with the performance of the original model with pure RGB input, the AP50 of the new model increases by 0.685% on the UOAIS-Sim evaluation dataset, and the overlap and boundary F measures increase by 2.3% and 1.6% respectively on the OCID dataset. Consequently, the model achieves similar performance to those which need RGB-D images as input. It has the potential to serve as a compromise plan for UOAIS if the collection of real scene-depth images is difficult or unavailable.

AimsTo characterise retinal microvascular alterations in the eyes of pregnant patients with anaemia (PA) and to compare the alterations with those in healthy controls (HC) using optical coherence tomography angiography (OCTA).MethodsThis nested case‒control study included singleton PA and HC from the Eye Health in Pregnancy Study. Fovea avascular zone (FAZ) metrics, perfusion density (PD) in the superficial capillary plexus, deep capillary plexus and flow deficit (FD) density in the choriocapillaris (CC) were quantified using FIJI software. Linear regressions were conducted to evaluate the differences in OCTA metrics between PA and HC. Subgroup analyses were performed based on comparisons between PA diagnosed in the early or late trimester and HC.ResultsIn total, 99 eyes of 99 PA and 184 eyes of 184 HC were analysed. PA had a significantly reduced FAZ perimeter (βcoefficient=−0.310, pβcoefficient=−0.121, p=0.001) and increased circularity (βcoefficient=0.037, pβcoefficient=0.327, p=0.001) and outer (βcoefficient=0.349, p=0.007) regions were observed in PA. PA diagnosed in the first trimester had more extensive central FD (βcoefficient=4.199, p=0.003) in the CC, indicating impaired perfusion in the CC.ConclusionIt was found that anaemia during pregnancy was associated with macular microvascular abnormalities, which differed in PA as pregnancy progressed. The results suggest that quantitative OCTA metrics may be useful for risk evaluation before clinical diagnosis.Trial registration numbers2021KYPJ098 and ChiCTR2100049850.

Based on the complicated environment of the current electric power marketization reform and the policy requirements of improving the quality and efficiency of state-owned enterprises, we selected the power grid enterprises as the research object in this paper. Simultaneously, the evaluation for economic activities of them is also studied. On the basis of the full consideration of their characteristics, a comprehensive evaluation indicator system of economic activity is constructed. The comprehensive evaluation for economic activities of the power grid enterprises is conducted based on the improved combined weighting matter-element model (ICWME). The real example analysis shows that the improved model can effectively improve the reliability of evaluation results. The scientific comprehensive evaluation for economic activities of power grid enterprises is achieved, which can provide scientific direction guidance and method guidance for future development planning of enterprises.

Sirtuin3 (SIRT3) is a deacetylase that plays an important role in normal physiological activities by regulating a variety of substrates. Considerable evidence has shown that the content and activity of SIRT3 are altered in neurological diseases. Furthermore, SIRT3 affects the occurrence and development of neurological diseases. In most cases, SIRT3 can inhibit clinical manifestations of neurological diseases by promoting autophagy, energy production, and stabilization of mitochondrial dynamics, and by inhibiting neuroinflammation, apoptosis, and oxidative stress (OS). However, SIRT3 may sometimes have the opposite effect. SIRT3 can promote the transfer of microglia. Microglia in some cases promote ischemic brain injury, and in some cases inhibit ischemic brain injury. Moreover, SIRT3 can promote the accumulation of ceramide, which can worsen the damage caused by cerebral ischemia–reperfusion (I/R). This review comprehensively summarizes the different roles and related mechanisms of SIRT3 in neurological diseases. Moreover, to provide more ideas for the prognosis of neurological diseases, we summarize several SIRT3-mediated rehabilitation training methods.

In the process of economic development, the consumption of energy leads to environmental pollution. Environmental pollution affects the sustainable development of the world, and therefore energy consumption needs to be controlled. To help China formulate sustainable development policies, this paper proposes an energy consumption forecasting model based on an improved whale algorithm optimizing a linear support vector regression machine. The model combines multiple optimization methods to overcome the shortcomings of traditional models. This effectively improves the forecasting performance. The results of the projection of China’s future energy consumption data show that current policies are unable to achieve the carbon peak target. This result requires China to develop relevant policies, especially measures related to energy consumption factors, as soon as possible to ensure that China can achieve its peak carbon targets.

The emerging field of Internet of Things (IoT) offers an unprecedented opportunity for a wide spectrum of applications. However, most applications have been integrating IoT devices through proprietary mechanisms and with closed technology stacks. The monolithic, mostly vendor-specific development architecture leads to soaring customization costs and limited component reusability. It impedes the full-fledged IoT applications in cross-organizational, general-purpose and rapid-changing scenarios. This research intends to provide a coherent architecture that enables interoperable, low-cost and user-customizable IoT rapid prototyping. Under this architecture, each IoT component, either a physical device or a control logic, is abstracted into an independent web service that described by a set of transferable states. By concatenating a valid chain of state transfers between web services, IoT components are further assembled into customizable applications. In this research, a Finite-State-Machine (FSM) model driven architecture is established and a typical implementation of the proposed architecture, i.e. the Hyper Sensor Markup Language (HSML) is provided. We also discuss two practical use cases and related evaluations.

The planned China Fusion Engineering Test Reactor (CFETR) needs one or more Negative-ion-based Neutral Beam Injectors (N-NBIs) with a beam energy of 500 keV to heat plasma and drive current. In order to prepare for CFETR, a prototype of CFETR N-NBI is being designed to accelerate hydrogen negative ions up to 200 keV with a beam current as high as 20 A for 3600 s at max, and an Acceleration Grid Power Supply (AGPS) rated at −200 kV/25 A is needed. A single stage inverter-type high voltage power supply is adopted as AGPS of the N-NBI prototype. The AGPS mainly includes a 12 pulse rectifier based on thyristor, a dual-dc-link system rated at 5 kV, a three phase three level neutral point clamped dc/ac inverter based on injection enhanced gate transistor, a three-phase set-up transformer, a high voltage uncontrolled rectifier based on avalanche diode and a high voltage R-C dc-filter. This paper describes the design of the AGPS for CFETR N-NBI prototype, focusing on the inverter, the step-up transformer and the HV diode rectifier.

Sparse code multiple access (SCMA) and wireless multicast are viewed as two effective techniques to improve spectral efficiency. Due to the diversity of channel gains for different receivers in the multicast group, the bit error rate (BER) analysis of the unicast SCMA is not suitable for the multicast SCMA systems. Motivated by this, in this letter, the BER performance of multicast SCMA system with randomly deployed receivers is investigated. More specifically, we derive a tight upper bound expression for the BER of the system. To gain more insights of the expression, asymptotic analysis is conducted. Both theoretical and simulation results show that the BER increases as the number of receivers increases in the multicast group.

The conveyor assembly line has been widely used in manufacturing industries to produce standard products with low costs. However, due to lack of flexibility, this production method has not been conducive to multivariety and small-batch production. In this situation, seru production formed by converting conveyor assembly lines has been a successful innovation in the Japanese manufacturing industry. Most of the existing literature has studied the benefits of this line-seru conversion from the perspective of the enterprises themselves, but this paper studies the effect of the line-seru conversion on the waiting time from the perspective of the customer. First, the change in the average waiting queue length caused by the line-seru conversion is proposed as an evaluation index. Second, with the consideration of the practical situation of random batch arrivals, the average waiting queue length formulas for the conveyor assembly line and seru production are established based on the assumption that the arrival is a Poisson process. Then, under two scenarios, we investigate the relationship between the average waiting queue length changed by the line-seru conversion and other parameters and find that the conversion can reduce the average waiting queue length in multivariety and small-batch production. Finally, under other potential scenarios, the equations for determining the average waiting queue length resulting from a change to line-seru conversion are derived.

The China Fusion Engineering Test Reactor (CFETR) device is a milestone in the roadmap for the utilizing of fusion energy in China, whose final goal of plasma current is up to 10.02 MA. As the key system to generate a high enough voltage (20 kV) required for gas breakdown and plasma initiation, the Switch Network Unit (SNU) should have the ability to transfer 80 kA direct current by inserting resistor ( $0.25~\Omega $ ) to the superconducting coil circuit in 12 milliseconds. SNU topologies applied in other fusion devices are mostly based on the utilization of oscillation zero-point circuit, or combination of mechanical switch and semiconductor switch and so on, which bring stricter requirements for the components in the circuit and raise the cost due to the series and parallel connection of multiple devices if used in 80 kA/ 20 kV application. Based on the combination of solid-state switch (SSS) and auxiliary capacitor, this paper proposes a novel hybrid switch scheme. The SSS consists of insulated gate bipolar transistors (IGBT) group and thyristors group connected in series. The combination of added auxiliary capacitor and SSS can significantly reduce the number of series-connected IGBTs. This paper introduces the operation principle, design methods and simulation analysis of proposed scheme in detail. Coinciding with the analysis, the simulation results of SNU demonstrates the feasibility and reliability of the proposed scheme, which suggests its promising applications in fast switches with tens of kilovolts and hundreds of kilo-amperes.

Fog computing is an extension of cloud computing, which emphasizes distributed computing and provides computing service closer to user equipments (UEs). However, due to the limited service coverage of fog computing nodes (FCNs), the moving users may be out of the coverage, which would cause the radio handover and execution results migration when the tasks are off-loaded to FCNs. Furthermore, extra cost, including energy consumption and latency, is generated and affects the revenue of UEs. Previous works rarely consider the mobility of UEs in fog computing networks. In this paper, a generic three-layer fog computing networks architecture is considered, and the mobility of UEs is characterized by the sojourn time in each coverage of FCNs, which follows the exponential distribution. To maximize the revenue of UEs, the off-loading decisions and computation resource allocation are jointly optimized to reduce the probability of migration. The problem is modeled as a mixed integer nonlinear programming (MINLP) problem, which is NP-hard. The problem is divided into two parts: tasks off-loading and resource allocation. A Gini coefficient-based FCNs selection algorithm (GCFSA) is proposed to get a sub-optimal off-loading strategy, and a distributed resource optimization algorithm based on genetic algorithm (ROAGA) is implemented to solve the computation resource allocation problem. The proposed algorithms can handle the scenario of UEs' mobility in fog computing networks by significantly reducing the probability of migration. Simulations demonstrate that the proposed algorithms can achieve quasi-optimal revenue performance compared with other baseline algorithms.

In this paper, we investigate the allocation of resource in D2D-aided Fog computing system with multiple mobile user equipments (MUEs). We consider each MUE has a request for task from a task library and needs to make a decision on task performing with a selection of three processing modes which include local mode, fog offloading mode, and cloud offloading mode. Two scenarios are considered in this paper, which mean task caching and its optimization in off-peak time, task offloading, and its optimization in immediate time. In particular, task caching refers to cache the completed task application and its related data. In the first scenario, to maximize the average utility of MUEs, a task caching optimization problem is formulated with stochastic theory and is solved by a GA-based task caching algorithm. In the second scenario, to maximize the total utility of system, the task offloading and resource optimization problem is formulated as a mixed integer nonlinear programming problem (MINLP) with a joint consideration of the MUE allocation policy, task offloading policy, and computational resource allocation policy. Due to the nonconvex of the problem, we transform it into multi-MUEs association problem (MMAP) and mixed Fog/Cloud task offloading optimization problem (MFCOOP). The former problem is solved by a Gini coefficient-based MUEs allocation algorithm which can select the most proper MUEs who contribute more to the total utility. The task offloading optimization problem is proved as a potential game and solved by a distributed algorithm with Lagrange multiplier. At last, the simulations show the effectiveness of the proposed scheme with the comparison of other baseline schemes.

Employing converters to limit the dc fault current is a good choice. By reducing the dc voltage, the fault current can be limited. Modular multilevel converters (MMCs) based on half-bridge submodules (HBSMs) are widely employed in high voltage direct current (HVDC) transmission systems. Most of the existing methods for HB-MMC to limit the dc fault current are at the cost of reducing the ac output voltage, which will lose control of ac currents and increase the ac grid's instability. A dc fault current limiting method for HB-MMC is proposed in this paper. The ac output voltage is not reduced during the dc fault current limiting period. Thus, the method will not disturb the ac grid. The common-mode voltage of each arm decides the dc voltage of HB-MMC. Common-mode voltages of the three phases are controlled separately to realize a significant current limiting effect. To avoid the arm overcurrent caused by increasing circuiting currents, the minimum common-mode voltage among the three phases is limited.

Background Circular RNAs (circRNAs) has emerged as vital regulator involved in various diseases. In this study, we identified and investigated the potential circRNAs involved in gestational diabetes mellitus (GDM). Methods High-throughput sequencing was used to collect the plasma circRNAs expression profiles of GDM patients. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) was used to measure the expressions of circ_0008285 and circ_0001173 in the plasma specimens. The Pearson’s correlation test was employed to assess the correlation between 2 circRNAs expression and the clinicopathologic data. Two circRNAs expression was verified in high glucose (HG)-induced HTR-8/SVneo cells. MTS, transwell assay was used to evaluate the effects of circ_0008285 expression on HG-induced HTR-8/SVneo cells. The network of circ_0008285 was constructed using cytocape. Results In GDM patients, the expression of circ_0008285 was significantly upregulated, while that of circ_0001173 was decreased. Circ_0008285 was significantly correlated with the total cholesterol and LDL-C levels. Circ_0001173 was significantly correlated with glycated hemoglobin. HG promoted the proliferation, invasion, and migration in HTR-8/SVneo cells, while the knockdown of circ_0008285 exerted reverse effects. In addition, network construction exhibited that circ_0008285 had 45 miRNA binding sites, which correlated with 444 mRNA. Conclusions circ_0008285 plays an important role and provides a clue for the usage of therapeutic targets in the development of GDM.

At present, short-circuit currents of rail transit DC traction system can reach more than 100 kA and bring serious damages to power equipment in the system. There is an urgent need for high-speed DC circuit breakers to isolate system short-circuit faults quickly. Recently, air-type DC circuit breakers are mainly used in the DC traction system of 1.5 kV rail transit. However, the air-type DC circuit breakers have the cons of long interruption time, large noise, large volume, and high price. The purpose of this paper is to design a novel DC combined apparatus with a rated voltage of 1.5 kV, a rated current of 4 kA, and a maximum breaking capacity of 100 kA. The DC combined apparatus is composed of a fuse and a forced zero-crossing vacuum switch in series, which can effectively interrupt the rated current, overload current, and short-circuit current in the DC traction system. The DC combined apparatus has the advantages of high electrical life, low on-state loss, small size, and low cost, and can significantly improve the reliability and stability of the DC traction system. It interrupts an overload current of 20 kA within 5.12 ms, and the breaking time of the prospective short-circuit current of 100 kA is less than 5.08 ms. Experimental results show that the DC combined apparatus can achieve the rated current, overload current, and short-circuit current interruptions in the DC traction system quickly and effectively.

Objective To investigate published cases of cervical ectopic pregnancy between 2000 and 2018 and compare management strategies and treatment success rates based on initial patient characteristics. Methods PubMed, EMBASE, and Web of Science were searched to capture peer-reviewed citations published between 2000 and 2018. Cases reporting either β-hCG level, crown-rump length, or gestational sac diameter for each individual patient were included. Data regarding the article information, patient characteristics, treatment used, and outcomes were collected. Initial success was defined as resolution of the cervical ectopic pregnancy with the predefined treatment plan. Initial failure was defined as the requirement of additional unplanned interventions due to the predefined treatment plan not being successful. End success was defined as resolution of the cervical ectopic pregnancy without hysterectomy. Results A total of 204 articles from 44 countries comprising 454 cases were reviewed. The initial β-hCG level ranged from 9 to 286,500, with a median of 14,773, and gestational age ranged from 4 to 18 weeks, with an average of 7 4/7 weeks (±2 0/7 weeks). In looking at initial success, compared with methotrexate alone, dilation, and curettage (odds ratio [OR] 2.26; 95% CI 2.64-10.45), dilation and curettage combined with uterine artery embolization (OR 4.85; 95% CI 2.06-11.44) and uterine artery embolization (OR 5.17; 95% CI 1.14-23.53) were more effective options. More than half of patients (50.2%) required multiple interventions, and 41 (9%) resulted in hysterectomy. Conclusions Management of cervical ectopic pregnancies should be guided by patient stability, β-hCG level, size of pregnancy, and fetal cardiac activity but may benefit from a planned multimodal approach.

Depression is a common mental disorder which is harmful to our family, economics and society. Many people cannot receive timely mental health services, and the diagnosis process is subjective. A primary way for reducing harm is finding an objective and effective depression detection approach. Speech and video are two promising behavior indicators for depression. In this paper, we proposed a speech and video bimodal fusion model based on time-frequency analysis and convolutional neural network for this goal. For the testing of the proposed method, a speech and video dataset of 292 participants were employed for cross-validation. Compared with the single modal classification results, the classification accuracy and generalization ability of this gender-independent model are further improved, which is helpful for the identification of depression.

Objectives. To investigate the classification performance of support vector machine in mild traumatic brain injury (mTBI) from normal controls. Methods. Twenty-four mTBI patients (15 males and 9 females; mean age, 38.88 ± 13.33 years) and 24 age and sex-matched normal controls (13 males and 11 females; mean age, 40.46 ± 11.4 years) underwent resting-state functional MRI examination. Seven imaging parameters, including amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), degree centrality (DC), voxel-mirrored homotopic connectivity (VMHC), long-range functional connectivity density (FCD), and short-range FCD, were entered into the classification model to distinguish the mTBI from normal controls. Results. The ability for any single imaging parameters to distinguish the two groups is lower than multiparameter combinations. The combination of ALFF, fALFF, DC, VMHC, and short-range FCD showed the best classification performance for distinguishing the two groups with optimal AUC value of 0.778, accuracy rate of 81.11%, sensitivity of 88%, and specificity of 75%. The brain regions with the highest contributions to this classification mainly include bilateral cerebellum, left orbitofrontal cortex, left cuneus, left temporal pole, right inferior occipital cortex, bilateral parietal lobe, and left supplementary motor area. Conclusions. Multiparameter combinations could improve the classification performance of mTBI from normal controls by using the brain regions associated with emotion and cognition.

The neutral beam injection system in the Chinese Fusion Engineering Test Reactor(CFETR) is used for auxiliary heating of the plasma, it is necessary to create an acceleration grid power supply to provide energy for the plasma. The high voltage power supply adopts the inverter type power supply scheme, in which the step-up transformer plays the role of voltage isolation and power transformation between the primary and secondary sides, and is the key equipment to determine the voltage level and safety of the high voltage power supply. In addition to the general characteristics of large capacity and high voltage class, the transformer also needs to meet the requirements of operating under unusual frequency and high harmonic input. According to the requirements of step-up transformer, this paper reports the engineering design of the transformer, including the calculation of key parameters, the design of the main electromagnetic structure, such as core and winding of transformer, simulation of transformer insulation level for the standard input voltage, research about winding loss and temperature rise caused by higher harmonic. It lays the foundation for the future construction of CFETR N-NBI system.

Photoneutron based prompt gamma-ray neutron activation analysis (PGNAA) is a promising technology that provides additional elemental analysis ability to traditional X-ray radiography, and can help detect low-Z illicit objects like drugs and explosives concealed in cargoes and luggage, which can barely be distinguished on the X-ray image. An e-LINAC driven photoneutron inspection system was constructed in this work to interrogate the performance of detecting drugs concealed in the fruits. Both simulation and experimental results indicate that 1 kg methamphetamine hydrochloride simulants smuggled in a banana pallet can be detected within 1 min with both false positive and false negative probabilities smaller than 0.1%, satisfying the rapid scan requirement at customs, ports or checkpoints.