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Background Liver injuries have been reported in patients with coronavirus disease 2019 (COVID-19). This study aimed to investigate the clinical role played by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods In this multicentre, retrospective study, the parameters of liver function tests in COVID-19 inpatients were compared between various time-points in reference to SARS-CoV-2 shedding, and 3 to 7 days before the first detection of viral shedding was regarded as the reference baseline. Results In total, 70 COVID-19 inpatients were enrolled. Twenty-two (31.4%) patients had a self-medication history after illness. At baseline, 10 (14.3%), 7 (10%), 9 (12.9%), 2 (2.9%), 15 (21.4%), and 4 (5.7%) patients already had abnormal alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), albumin, and total bilirubin (TBIL) values, respectively. ALT and AST abnormal rates and levels did not show any significant dynamic changes during the full period of viral shedding (all p > 0.05). The GGT abnormal rate (p = 0.008) and level (p = 0.033) significantly increased on day 10 of viral shedding. Meanwhile, no simultaneous significant increases in abnormal ALP rates and levels were observed. TBIL abnormal rates and levels significantly increased on days 1 and 5 of viral shedding (all p p Conclusions SARS-CoV-2 does not directly lead to elevations in ALT and AST but may result in elevations in GGT and TBIL; albumin decreased extraordinarily even when SARS-CoV-2 shedding ended.

Aims We aimed to evaluate the impact of the COVID-19 epidemic on emergency and cardiovascular disease–related calls in Hangzhou, China. Methods We conducted a single-center retrospective study, collecting data on emergency calls to the Hangzhou Emergency Center (HEC) during the COVID-19 epidemic (January 20, 2020, to March 15, 2020). Data were compared with the same period in 2019. Results Compared to 2019, the number of emergency calls has dropped by 21.63%, ambulance calls by 29.02%, rescue calls by 22.57%, and cardiovascular disease-related emergency calls by 32.86%. The numbers of emergency, ambulance, and rescue calls in 2020 were significantly lower than in 2019. Conclusions During the COVID-19 epidemic in Hangzhou, the numbers of emergency and cardiovascular disease–related calls have decreased significantly. These results point to a severe social problem that requires the attention of the medical community and the government.

Background Few safety and effectiveness results have been published regarding the administration of tenofovir alafenamide fumarate (TAF) during pregnancy for the prevention of mother-to-child transmission (MTCT) of hepatitis B virus (HBV). Methods In this multicenter prospective observational study, pregnant women with HBV DNA levels higher than 200 000 IU/mL who received TAF or tenofovir disoproxil fumarate (TDF) from gestational weeks 24–35 to delivery were 1:1 enrolled and followed until postpartum month 6. Infants received immunoprophylaxis. The primary endpoint was the safety of mothers and infants. The secondary endpoint was the hepatitis B surface antigen (HBsAg)-positive rate at 7 months for infants. Results In total, 116 and 116 mothers were enrolled, and 117 and 116 infants were born, in the TAF and TDF groups, respectively. TAF was well tolerated during a mean treatment duration of 11.0 weeks. The most common maternal adverse event was nausea (19.0%). One (0.9%), 3 (2.6%), and 9 (7.8%) mothers had abnormal alanine aminotransferase levels at delivery and at postpartum months 3 and 6, respectively. The TDF group had safety profiles that were comparable to those of the TAF group. No infants had birth defects in either group. The infants’ physical and neurological development at birth and at 7 months in the TAF group were comparable with those in the TDF group. The HBsAg positive rate was 0% at 7 months in all 233 infants. Conclusions Antiviral prophylaxis with TAF was determined to be generally safe for both mothers and infants and reduced the MTCT rate to 0%.

The effect of ash on dielectric properties and micro-structure of high alkali coal at different temperature pyrolysis was studied, so as to provide theoretical basis for coal deep processing by microwave. An acid-washed method was adopted to remove ash in Zhundong coal for preparing coal chars at 700 °C–1300 °C. X-ray diffraction analysis was used to characterize the microcrystal structure. The thermal stability was characterized by thermogravimetric analyzer, and the dielectric properties were measured by a vector network analyzer. The results showed that when the pyrolysis temperature was below 1100 °C, the presence of ash hindered the development of carbon structure in raw coal char. The main reason is that the alkali metal oxides (K2O and Na2O) in the ash promoted the solution loss reaction during pyrolysis. The structure of the original carbon layer was damaged, thereby the graphitization degree, thermal stability and dielectric properties of raw coal char were weaker than the ash-free coal char. When the pyrolysis temperature reached 1300 °C, the minerals were completely melted. The reaction of phase transition of SiO2 in ash played a catalytic role on raw coal char structure, resulting in tighter arrangement of adjacent carbon layers. The raw coal char showed stronger dielectric properties and thermal stability.

The mercury emission was obtained by measuring the mercury contents in flue gas and solid samples in pulverized coal (PC) and circulating fluidized bed (CFB) utility boilers. The relationship was obtained between the mercury emission and adsorption characteristics of fly ash. The parameters included unburned carbon content, particle size, and pore structure of fly ash. The results showed that the majority of mercury released to the atmosphere with the flue gas in PC boiler, while the mercury was enriched in fly ash and captured by the precipitator in CFB boiler. The coal factor was proposed to characterize the impact of coal property on mercury emissions in this paper. As the coal factor increased, the mercury emission to the atmosphere decreased. It was also found that the mercury content of fly ash in the CFB boiler was ten times higher than that in the PC boiler. As the unburned carbon content increased, the mercury adsorbed increased. The capacity of adsorbing mercury by fly ash was directly related to the particle size. The particle size corresponding to the highest content of mercury, which was about 560 ng/g, appeared in the range from 77.5 to 106 µm. The content of mesoporous (4–6 nm) of the fly ash in the particle size of 77.5–106 µm was the highest, which was beneficial to adsorbing the mercury. The specific surface area played a more significant role than specific pore volume in the mercury adsorption process.

Currently, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been reported in almost all countries globally. No effective therapy has been documented for COVID-19, and the role of convalescent plasma therapy is unknown. In the current study, 6 patients with COVID-19 and respiratory failure received convalescent plasma a median of 21.5 days after viral shedding was first detected, all tested negative for SARS-CoV-2 RNA within 3 days after infusion, and 5 eventually died. In conclusion, convalescent plasma treatment can end SARS-CoV-2 shedding but cannot reduce the mortality rate in critically ill patients with end-stage COVID-19, and treatment should be initiated earlier.

In recent years, an increasing number of people have myopia in China, especially the younger generation. Common myopia may develop into high myopia. High myopia causes visual impairment and blindness. Parapapillary atrophy (PPA) is a typical retinal pathology related to high myopia, which is also a basic clue for diagnosing high myopia. Therefore, accurate segmentation of the PPA is essential for high myopia diagnosis and treatment. In this study, we propose an optimized Unet (OT-Unet) to solve this important task. OT-Unet uses one of the pre-trained models: Visual Geometry Group (VGG), ResNet, and Res2Net, as a backbone and is combined with edge attention, parallel partial decoder, and reverse attention modules to improve the segmentation accuracy. In general, using the pre-trained models can improve the accuracy with fewer samples. The edge attention module extracts contour information, the parallel partial decoder module combines the multi-scale features, and the reverse attention module integrates high- and low-level features. We also propose an augmented loss function to increase the weight of complex pixels to enable the network to segment more complex lesion areas. Based on a dataset containing 360 images (Including 26 pictures provided by PALM), the proposed OT-Unet achieves a high AUC (Area Under Curve) of 0.9235, indicating a significant improvement over the original Unet (0.7917).

High myopia is a global ocular disease and one of the most common causes of blindness. Fundus images can be obtained in a noninvasive manner and can be used to monitor and follow up on many fundus diseases, such as high myopia. In this paper, we proposed a computer-aided diagnosis algorithm using deep convolutional neural networks (DCNNs) to grade the risk of high myopia. The input images were automatically classified into three categories: normal fundus images were labeled class 0, low-risk high-myopia images were labeled class 1, and high-risk high-myopia images were labeled class 2. We conducted model training on 758 clinical fundus images collected locally, and the average accuracy reached 98.15% according to the results of fivefold cross-validation. An additional 100 fundus images were used to evaluate the performance of DCNNs, with ophthalmologists performing external validation. The experimental results showed that DCNNs outperformed human experts with an area under the curve (AUC) of 0.9968 for the recognition of low-risk high myopia and 0.9964 for the recognition of high-risk high myopia. In this study, we were able to accurately and automatically perform high myopia classification solely using fundus images. This has great practical significance in terms of improving early diagnosis, prevention, and treatment in clinical practice.

In recent years, deep neural network has achieved high accuracy in the field of image recognition, but the consumption of resource is high. Inspired by collaborative learning approaches and the knowledge distillation technique, this study proposes a knowledge transfer method for semantic segmentation based on feature aggregation. In this research, the original student network is applied to generate the auxiliary teacher network, and share the information learned from the network by establishing dense feature connections between the two networks, which are trained simultaneously. Any one of these networks has access to information that is not available to the individual networks. In addition, in order to increase the degree of collaboration, this paper proposes two methods for establishing connections between the teacher network and the student network. The first method is a dense feature connection between networks of the same layer, and the second method is a dense feature connections between multi-layer networks. The approaches proposed above are validated on the train of Unet, and the experimental results show that the knowledge transfer approach of shared feature aggregation has better performance than the traditional single network.

Objective To assess the association between the variability of blood pressure (BP) readings within an initial clinic visit, the variability within subsequent visits and the variability between visits over 1 week in a general population. Methods This study included 1401 adult residents, who were not taking antihypertensive drugs, having BP measurements at three visits over 1 week. The difference between maximal and minimal BP readings (ΔBP), ΔBP/BPm (the mean BP value in a visit), the standard deviation (SD) and coefficient of variation (coefficient of variation = SD × 100/mean) of three BP values in each visit were used to estimate the within-visit BP variability (BPV). The SD and coefficient of variation of all nine BP readings over the three visits were calculated as SD9 or CV9 to reflect the overall BPV during the study visits. The SD and coefficient of variation on the mean BP values (BPm) of three visits were computed as SD-3 or CV-3, whereas the difference between maximal and minimal BP in three visits was computed as ΔBP-3 to estimate visit-to-visit BPV. The average BP or HR was the mean values of nine BP or HR readings over three visits. Results The systolic and diastolic mean BP (SBP and DBP) decreased from the first to the third visit. The ΔBP, SD and coefficient of variation for both SBP and DBP at the first visit were positively and significantly correlated with the corresponding variables computed at the second and third visits, as well as with overall BPV (ΔBP9, SD9 and CV9). A positive correlation was also found between overall BPV and visit-to visit BPV (SD-3, CV-3 and ΔBP9). Multivariate analysis showed: no association between average SBP and systolic coefficient of variation or ΔBP/BPm but a negative association between average DBP and coefficient of variation or ΔBP/BPm for DBP at the first visit, DBP-3 and DBP9. Age was positively correlated with coefficient of variation or ΔBP/BPm for SBP at the first visit, SBP-3 and SBP9, and correlated with coefficient of variation and ΔBP/BPm for DBP only at the first visit. Conclusion In a general population, within-visit BPV at an initial visit is associated with within-visit BPV at subsequent visits and with visit-to-visit BPV over three visits within 1 week.

Firstly, giving an overview of LoRa wireless communication technology and LoRaWAN specification based on this technology. In view of the problem that the capacity of the LoRaWAN is seriously restricted by the gateway’s throughput under actual deployment, introducing a dual buffer-queues structure based on JIT (Just-In-Time) scheduling into the gateway. By this means, the probability of threads blocking in the gateway is reduced, and the working efficiency of the gateway is improved, thereby optimizing the capacity to forward downlink data of the gateway. Experiments done in this paper have proved that the throughput of the gateway using this JIT dual buffer-queues mechanism is significantly enhanced and is more suitable for Class C packets forwarding, which effectively solves the actual deployment problem for LoRaWAN such as low network capacity caused by different types of nodes and gateway paralysis caused by sudden increase in downstream traffic.

Summary Currently, COVID‐19 has been reported in nearly all countries globally. To date, little is known about the viral shedding duration, clinical course, and treatment efficacy of COVID‐19 near Hubei Province, China. This multicentre, retrospective study was performed in 12 hospitals in Henan and Shaanxi Provinces from January 20 to February 8, 2020. Clinical outcomes were followed up until March 26, 2020. The viral shedding duration, full clinical course, and treatment efficacy were analysed in different subgroups of patients. A total of 149 COVID‐19 patients were enrolled. The median age was 42 years, and 61.1% (91) were males. Of them, 133 (89.3%) had fever, 131 of 144 (91%) had pneumonia, 27 (18.1%) required intensive care unit (ICU) management, 3 (2%) were pregnant, and 3 (2%) died. Two premature newborns were negative for SARS‐CoV‐2. In total, the median SARS‐CoV‐2 shedding period and clinical course were 12 (IQR: 9‐17; mean: 13.4, 95% CI: 12.5, 14.2) and 20 (IQR: 16‐24; mean: 21.2, 95% CI: 20.1, 22.3) days, respectively; and ICU patients had longer median viral shedding periods (21 [17‐24] vs 11 [9‐15]) and clinical courses (30 [22‐33] vs 19 [15.8‐22]) than non‐ICU patients (both p0.05) in real‐life settings. In conclusion, the viral shedding duration and clinical course in Henan and Shaanxi Provinces were shorter than those in Hubei Province, and current antiviral therapies were ineffective for shortening viral shedding duration and clinical course in real‐world settings. These findings expand our knowledge of the SARS‐CoV‐2 infection and may be helpful for management of the epidemic outbreak of COVID‐19 worldwide. Further studies concerning effective antiviral agents and vaccines are urgently needed.

In China, there are approximately 250 million adults who have hypertension with low rates of awareness, treatment and control. Changes in lifestyles at a population level have the potential to enhance or deteriorate the prevention and control of hypertension. We used data from a regional hypertension survey to examine the impact of 2/1 mm Hg decreases or increases in population blood pressure on hypertension prevalence, and rates of unawareness of the hypertension diagnosis, treatment, and control. The primary analysis was based on the average blood pressure of respondents from three visits and a diagnostic threshold of 140/90 mm Hg for hypertension. Secondary analyses examined average blood pressure from the first survey visit and also a diagnostic threshold of 130/80 mm Hg for hypertension. The baseline hypertension prevalence was 33.4%, and rates of unawareness of the hypertension diagnosis, treatment, and control were 74.2%, 25.8%, and 9.7%, respectively. Decreases or increases in blood pressure by 10/5 mm Hg resulted in changes in hypertension prevalence (22.1% vs 53.4%) and rates of unawareness of the diagnosis (60.9% vs 83.8%), treatment (39.1% vs 16.2%), and control (21.2% vs 3.6%), respectively. Similar trends were seen in the secondary analyses. Population changes in lifestyle could have a very large impact on the prevalence and control of hypertension in China. The results support implementation of programs to improve population lifestyles while implementing health services policies to enhance the clinical management of hypertension.

The study was undertaken to investigate the changes of mineral matters in coal during heat treatment and its effect on structure and dielectric properties of generated chars. An acid treatment method was adopted to remove mineral matters in coal for preparing chars at 850–1600 °C using an electric furnace. Dielectric properties of coal chars were determined with the transmission/reflection method. Also, phase structure of coal chars was examined by X-ray diffraction (XRD). Significant transformation was found in the presence of mineral matters during heat treatment. Especially the process of creating silicon carbide (SiC) above 1300 °C in carbothermal reduction played a catalytic role on char structure. Consequently, dielectric properties were improved with the increase of structural ordering. These results could be instructive for the application of mineral matters in microwave technique at higher temperatures.

Co-firing coal slime in circulating fluidized bed (CFB) boilers is an effective method for utilizing coal slime, as industrial solid waste, with high water content, high viscosity, high ash content and low calorific value. In order to study the morphology and drying characteristics of coal slime dough injected into the furnace, this paper studied in detail the influence of compression degree and water content on the tensile force of coal slime dough. The results show that the degree of compression is positively correlated with the tensile force of coal slime dough, while, the water content is negatively correlated. A one-dimensional quadratic mathematical relationship between the tensile force of coal slime dough and the water content is established. At different feeding locations, i.e., at the top or middle of the boiler furnace, the breaking length of the coal slime dough was predicted. With top feeding, the length is 0.17 m, and that value for the middle feeding is about 0.15 m. Using the coupling model of the movement and drying of coal slime dough inside the furnace of the CFB boiler, the temperature change of the slime dough was calculated. The results showed that the surface temperature of coal slime dough rose rapidly during the drying process, then decreased slowly before it dived into the dense bed. When the furnace temperature is 900 °C and furnace height is about 38 m, the temperature of the slime surface can reach 200 °C at the highest.

The aim of this study was to determine the relationship between glucose fluctuation and global registry of acute coronary events (GRACE) risk score in patients with acute coronary syndrome (ACS) and abnormal glucose metabolism using continuous glucose monitoring system (CGMS). A total of 76 patients with ACS admitted into coronary care unit (CCU) were divided into two groups based on their blood glucose level and were further divided into subgroups based on GRACE risk score. A CGMS was used to real-time monitor blood glucose for 72 h in all patients after admitted into CCU. Twenty-four-hour mean blood glucose (24-h MBG) and 24-h mean amplitude of glycemic excursion (24-h MAGE) were calculated. Among the 76 patients, 52 patients had abnormal glucose metabolism. Among the 52 patients, there were 8 patients in low-risk group, 19 patients in moderate-risk group, and 25 in high-risk group. Among the 24 patients with normal glucose metabolism, there were 6 patients in the low-risk group, 6 patients in the moderate-risk group, and 12 in the high-risk group based on GRACE score. For patients with abnormal glucose metabolism, the 24-h MBG and 24-h MAGE of moderate- and high-risk groups were significantly higher than that of the low-risk group, which were not found in patients with ACS and normal glucose metabolism. High prevalence of abnormal glucose metabolism was found in ACS patients admitted into CCU and larger blood glucose fluctuation is associated with moderate and high GRACE risk scores in patients with ACS and abnormal glucose metabolism.

Statins lower low-density lipoprotein cholesterol (LDL-C) and high-sensitivity C-reactive protein (hsCRP), and the addition of ezetimibe to statins further reduces LDL-C and hsCRP. Lipoprotein-associated phospholipase A2 (Lp-PLA2) is a potentially important pathogenic factor participating in the progression of atherosclerosis. The aim of current study was to investigate how the addition of ezetimibe to rosuvastatin treatment affects reductions in LDL-C, hsCRP and Lp-PLA2 in patients with acute myocardial infarction (AMI). A total of 135 patients were enrolled in the study within 24 h of AMI, and were randomized to receive 10 mg rosuvastatin or 10 mg rosuvastatin plus 10 mg ezetimibe daily. HsCRP, Lp-PLA2, total cholesterol (TC), triglycerides (TG), LDL-C and high-density lipoprotein cholesterol (HDL-C) were determined at baseline and after 1, 3, 6 and 12 months of treatment. The addition of ezetimibe to rosuvastatin led to greater reduction of LDL-C compared with rosuvastatin monotherapy (from 3.00 to 1.19 mmol/l vs. 2.93 to 1.49 mmol/l, respectively; P

The nonlinear sliding-mode (SLM) controller based on the maximum jerk and time-optimal step response has been developed for the control of servo-solenoid valves, which exhibits its performance advantages when compared to traditional PID controller. However, the experiments shows the responses of the SLM control under only jerk constraint will largely vary with different damping and loads, leading to the large overshoot and breakdown under some working conditions (e.g., large viscous damping coefficient). Thus, an improved SLM controller is developed in this paper to deal with the existing drawbacks, where a novel nonlinear SLM surface is proposed by taking into account both spool’s acceleration and jerk limitation. Firstly, the nominal model of servo-solenoid valve is built by linearizing the dynamics on the null position, and the system identification is carried out to achieve the model parameters and their variation ranges. Subsequently, the valve constraints under the power limitation are analyzed through the frequency response of the identified model, which comes out the maximum available velocity, acceleration and jerk. Finally, the improved SLM control algorithm is proposed, where the novel SLM surface considers the maximum plus jerk, the maximum minus jerk and the maximum acceleration. Experimental studies are conducted and the results show that the improved SLM controller under both acceleration and jerk constraints can achieve the continuous and stable sliding mode state, realize the time-optimal step response of the valve, and exhibit strong disturbance rejection abilities.

Zhong-Guo Fan,1 Wen-Ling Zhang,2 Bing Xu,1 Jun Ji,1 Nai-Liang Tian,3 Sheng-Hu He1 1Department of Cardiology, Subei People’s Hospital of Jiangsu Province, Yangzhou University, Yangzhou, Jiangsu, China; 2Department of Geriatric Gastroenterology, First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China; 3Department of Cardiology, Nanjing First Hospital, Nanjing Heart Center, Nanjing Medical University, Nanjing, Jiangsu,China Background: The efficacy and safety of ticagrelor following percutaneous coronary intervention for patients with acute coronary syndrome remains unclear. This study sought to evaluate clinical outcomes of ticagrelor as part of dual-antiplatelet treatment for these patients. Methods: PubMed, MEDLINE, Embase, and other Internet sources were searched for eligible citations. The primary end point was major adverse cardiovascular and cerebrovascular events, consisting of cardiovascular death, myocardial infarction, and stroke. The secondary end point was the occurrence of definite/probable stent thrombosis (ST). The risk of bleeding was chosen to be the safety end point. Results: Eleven clinical trials – six randomized trials and five observational trials – were finally analyzed. A tendency toward reduction in the risk of major adverse cardiovascular and cerebrovascular events was observed only with respect to ticagrelor (OR 0.83, 95% CI 0.66–1.03; P=0.091), which might have resulted from the lower risk of cardiovascular death (OR 0.78, 95% CI 0.68–0.89; P

Objective: Intravascular ultrasound (IVUS) is not routinely performed in the real-world practice, and the benefits of IVUS-guided drug-eluting stent (DES) implantation in patients with complex coronary lesions remains unclear. This updated meta-analysis attempts to evaluate the clinical outcomes of the IVUS guidance in these patients. Methods: We searched potential eligible citations from the PubMed, EMBASE, Medline, and other internet sources. The primary endpoint were major adverse cardiovascular events (MACE), including cardiac death, myocardial infarction (MI), and target vessel revascularization (TVR). The risk of definite/probable stent thrombosis (ST) was chosen as the safety endpoint. Results: Nine randomized trials including a total of 3,612 patients with complex coronary lesions were finally analyzed. Compared to angiography guidance, IVUS-guided DES implantation was associated with significantly lower incidence of MACE [odds ratios (OR) 0.57, 95% confidence intervals (CI): 0.45–0.72, p Conclusion: The updated meta-analysis demonstrates that DES implantation under IVUS guidance leads to a significant reduction in MACE, cardiac death, MI, TVR, TLR, and ST among patients with complex coronary lesions.

Excessive Ultra-violet (UV) radiation causes oxidative damages and apoptosis in retinal pigment epithelium (RPE) cells. Here we tested the potential activity of SC79, a novel small molecule activator of Akt, against the process. We showed that SC79 activated Akt in primary and established (ARPE-19 line) RPE cells. It protected RPE cells from UV damages possibly via inhibiting cell apoptosis. Akt inhibition, via an Akt specific inhibitor (MK-2206) or Akt1 shRNA silence, almost abolished SC79-induced RPE cytoprotection. Further studies showed that SC79 activated Akt-dependent NF-E2-related factor 2 (Nrf2) signaling and inhibited UV-induced oxidative stress in RPE cells. Reversely, Nrf2 shRNA knockdown or S40T mutation attenuated SC79-induced anti-UV activity. For the in vivo studies, we showed that intravitreal injection of SC79 significantly protected mouse retina from light damages. Based on these results, we suggest that SC79 protects RPE cells from UV damages possibly via activating Akt-Nrf2 signaling axis.

MicroRNA-210 (miRNA-210) has been reported to be associated with angiogenesis and may serve important roles in acute myocardial infarction (AMI), which remain unclear. The present study sought to evaluate the efficacy of miRNA-210 in AMI and to examine the potential associated mechanisms. AMI models were established in Sprague-Dawley rats. The expression of miRNA-210 was upregulated via transfection with lentivirus-mediated agonists and quantitative analysis was performed using the reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Immunoblotting and RT-qPCR were separately used to detect the expression levels of hepatocyte growth factor (HGF) in heart samples, while only the protein expression level of β-myosin heavy chain (β-MHC) was assessed. The expression of HGF in human umbilical vein endothelial cells under hypoxic conditions was silenced by transfecting with small interfering RNA, as demonstrated by the determination of associated protein expression levels. The microvessel density (MVD) of the infarcted myocardium was selected to be the angiogenesis efficacy endpoint, which was evaluated by platelet endothelial cell adhesion molecule immunostaining. Markedly increased expression of HGF was observed among the AMI rats receiving miRNA-210 agonists, demonstrated via quantitative analyses using RT-qPCR or western blotting. Promotion of angiogenesis was observed with the increased MVD. Improved cardiac function in the rats was subsequently noted, as they exhibited improved left ventricular fractional shortening and left ventricular ejection fraction percentages, which may result from improved cardiac contractility indicated by attenuating the increase in β-MHC protein expression. Overexpression of miRNA-210 appeared to be an advantageous therapeutic tool for treating AMI, primarily due to its promoting effects on angiogenesis in the infarcted myocardium by stimulating HGF expression and inducing improved left ventricular remodeling, leading to improved cardiac function.

Autophagy is an important intracellular degradative process that delivers cytoplasmic proteins to lysosome for degradation. Dysfunction of autophagy is implicated in several human diseases, such as neurodegenerative diseases, infectious diseases, and cancers. Autophagy-related proteins are constitutively expressed in the eye. Increasing studies have revealed that abnormal autophagy is an important pathological feature of several ocular diseases. Pharmacological manipulation of autophagy may provide an alternative therapeutic target for some ocular diseases. In this manuscript, we reviewed the relevant progress about the role of autophagy in the pathogenesis of ocular diseases.

The high resolution offshore wind speeds retrieval from SAR image is of great signification in the field of offshore wind energy estimation. In this paper, one operational method for offshore wind speeds retrieval from SAR image is conducted. Taking one scene ENVISAT ASAR image as a case study, the offshore wind speeds is operational retrieved combing with the NCEP/QSCAT blended sea surface wind directions. The retrieved wind speeds are compared with those from both the NCEP/QSCAT blended sea surface wind speeds and daily averaged Quick Scatter meter sea surface wind speeds. The results show that they are in good agreement. The root mean square errors of wind speed are 1.9 m/s and 1.6 m/s respectively, which show that the operational method for offshore wind speeds retrieval from SAR is available and give the orientation of SAR offshore sea surface wind energy business application in the future.

Vehicle robot drivers are widely used in automotive tests especial for some tests on automotive chassis dynamometer. However, China has less technology accumulations than west developed countries in the field of research and development of robot driver. In order to promote the developments of the domestic robot driver technology, a vehicle robot driver based on servo motor control was developed for automobile chassis dynamometer test, its system composition, functional features, and key technologies in developing process were expounded specifically in this paper.

Cathode material affecting the electrical breakdown time delay and jitter of self-breakdown gas switch has been studied. Experiments have tested the electrical breakdown time delay of four typical cathode materials including stainless steel, brass, W-Cu alloy and graphite under different applied voltage. The gas switch is operated at N2 pressured of 0.1 MPa, in nanosecond pulsed discharge. The breakdown time delay values t d of different cathode materials as the function of the experimental ordinal number are presented. The contourgraph has been used to scan the surface morphology of four cathode electrodes. Comparing the breakdown time delay curve with the section morphology of cathode electrode, it has been preliminarily concluded that the breakdown time delay and jitter are potentially relevant to the surface condition, the surface morphology and physical parameters of cathode material.

Thermal expansion of ball screw system affects the machining accuracy of machine tools significantly. The objective of this paper is to analyze the thermal behavior and predict the temperature variation pattern of a ball screw based on finite element analysis and experimental investigation. Wireless temperature sensors are used to monitor the temperature variation of the ball screw system under different thermal conditions during both the warm-up and cooldown phases, so as to investigate its temperature variation pattern. Then an exponential algorithm is proposed to analyze and predict the temperature variation of the ball screw based on finite element analysis, and the actual thermal boundary conditions of the ball screw system are exactly defined according to the proposed algorithm and the experimental results. Finally, it was found that the simulation based on the thermal boundary conditions identified herein could match quite well with the experimental results.

Myeloperoxidase (MPO) and glutathione S-transferase pi 1 (GSTP1) are important carcinogen-metabolizing enzymes. The aim of this study was to investigate the association between the common polymorphisms of MPO and GSTP1 genes and lung cancer risk in Chinese Han population.A total of 266 subjects with lung cancer and 307 controls without personal history of the disease were recruited in this case control study. The tagSNPs approach was used to assess the common polymorphisms of MOP and GSTP1 genes and lung cancer risk according to the disequilibrium information from the HapMap project. The tagSNP rs7208693 was selected as the polymorphism site for MPO, while the haplotype-tagging SNPs rs1695, rs4891, rs762803 and rs749174 were selected as the polymorphism sites for GSTP1. The gene polymorphisms were confirmed using real-time PCR, cloning and sequencing.The four GSTP1 haplotype-tagging SNPs rs1695, rs4891, rs762803 and rs749174, but not the MPO tagSNP rs7208693, exhibited an association with lung cancer susceptibility in smokers in the overall population and in the studied subgroups. When Phase 2 software was used to reconstruct the haplotype for GSTP1, the haplotype CACA (rs749174+rs1695 + rs762803+rs4891) exhibited an increased risk of lung cancer among smokers (adjust odds ratio 1.53; 95%CI 1.04-2.25, P=0.033). Furthermore, diplotype analyses demonstrated that the significant association between the risk haplotype and lung cancer. The risk haplotypes co-segregated with one or more biologically functional polymorphisms and corresponded to a recessive inheritance model.The common polymorphisms of the GSTP1 gene may be the candidates for SNP markers for lung cancer susceptibility in Chinese Han population.

This article firstly describes background, purpose and the significance of papers and theory summary at home and abroad; Secondly this article describes in private enterprises related concepts and the origin, development, present situation and characteristics, explains status and role of private enterprise in China national economy and points out that current private enterprise in sustainable development encountered various of problem; Then mainly on these problems encountered this paper deeply analyzes the influence of sustainable development of China's private enterprise, and external and internal factors, pointing out private enterprise should take some measures for sustainable development. As long as in China private enterprise can as soon as possible break by itself defects brings of hinder Enterprise survival and development of shackles, on backward of enterprise operating management mode for thoroughly change, update concept, courage to innovation, in knowledge economy rapid development, competition increasingly fierce of new market pattern, followed pulse of era development, in future, China private enterprise of scale and economic strength must will gradually expanded and enhanced, Enterprise core competitiveness also will further improve.

In order to solve deformation problem of large size hydrostatic thrust bearing under different load. Simulation model of fan cavity hydrostatic thrust bearing, three-dimensional mathematical model in guide rail is set up. Using CFD principle, FIUENT and ANSYS Workbench software, temperature field, pressure field and deformation field of hydrostatic bearing is simulated. Hydrostatic bearing deformation under different load conditions can be simulated and the lubrication characteristic is forecast in advance through this method. It provides valuable theoretical basis for hydrostatic bearing structure parameter optimization of oil cavity and worktable.

The CNC milling machine is extensively used in manufacturing of the die and the box-type parts. As the increasing requirement of the mechanical products qualities, the components also need higher and higher precision. However, the cutting force induced error affects the machining accuracy of the machined parts seriously. Furthermore, accurate measurement of the cutting force in CNC machining is very difficult. To solve this problem, a motor current-based cutting force induced error detection and modeling method is proposed in this paper. The motor current is obtained from the window function of the Fanuc CNC system. The cutting force induced error model is established according to the least-square method. The motor current-based error model can implement the cutting force induced error fitting effectively, and the fitting accuracy ofX,Y, andZ-axis are 97%, 96%, and 84%, respectively.

This paper uses CiteSpace information visualization software to visualize the acceleration sensor research literature based on more than 1100 literatures in the field of acceleration sensor research and application from 2010 to 2018. From the point of view of bibliometrics, the paper analyzes the visualization map of hot spot distribution, such as the country, discipline, research institution and funded status, the co-citation literature and the research frontier. Moreover, this paper compares and analyzes literature information on research and application fields of acceleration sensors at home and abroad in recent years. Information is used to evaluate the research progress and development trend of acceleration sensors, in order to provide literature reference for the relevant personnel engaged in the research of acceleration sensors.

As an interference imaging method, digital holography (DH) can accurately record the phase information of objects, and has the advantages of fast, non-destructive and three-dimensional imaging. It is widely used in the field of biological imaging and materials science. Like other optical imaging methods, DH also faces the problem that the resolution and the field of view(FOV) are mutually constrained, resulting in limited spatial bandwidth product(SBP). To solve this problem, researchers proposed methods such as computational illumination, computational modulation, and computational probing to extend SBP by sacrificing other degrees of freedom(such as time and polarization) of the imaging system. This paper firstly reviews the theoretical analysis of information capacity of an optical system. On this basis, we systematically summarize the high-resolution and large-FOV digital holographic imaging technology in recent years, introduce the principle and implementation of oblique illumination, structured illumination, random modulation illumination, multi-position synthetic aperture and pixel super-resolution method for resolution enhancement, and angle multiplexing method for FOV extension, and make a comparative study. The potential ways to improve resolution and expand FOV are also prospected.

Through review domestic Enterprise logistics cost control, several important control models were identified, including the model based on the accounting methods, the model based on the supply chain management, the model based on the strategic management, and several others. Based on analyzing the characteristics and the limitations of the existed research, the future research direction was discussed.

The error modeling compensation method for improvement the machine tools accuracy has been extensively used in the past decades. To unify the multi-error model for four types CNC machining center, the comprehensive multi-error model of TXYZ type machining center was established based on the homogenous coordinate transformation. According to the analysis of the transmission chain, a unified multi-error model for four types machining center was established based on the Singular Function. Using the unified multi-error model, the mathematical model of four types machining center can be standardized. It is very important for unceasing development of error compensation technology.

A set of LabVIEW-based computer testing system was designed for replacing the existing dispersion detected manual bench tests of Santana 2000 AJR engine, can be centralized and intuitionally acquire the test parameters and improve test efficiency.

Based on the journal resource from the cqvip database, taking "cultural and creative industry" as the keyword, the paper retrieved all the relevant "CSSCI" documents from 1989 to 2012. After getting the keywords co-occurrence matrix through BIBCOMB software, the paper focused on the keywords analysis which was obtained by the software UCINET and NETDRAW. Then it comes to the conclusion, which shows that development countermeasures, cultural area, cultural creativity and influential factors are the hotspots in present research.

The current two-dimensional (2-D) parameters for surface assessment (Ra and Pc) could not actually reflect functional properties of bearing and lubricant retention capabilities of steel sheets and rolls surface. Based on ARM9 development board, this paper has been working on secondary development of M1 mobile surface roughness meter, creating a model of calculating three-dimensional (3-D) functional characteristic parameters with 2-D profiles, and optimizing influence factors with Genetic Algorithms (GA). By comparing with measurement results by white-light interfering profile meter, the measurement error of the developed system is within10%, which was proved to be practical in the factory.

Industrial clusters are complex networks formed by numerous agents who continuously imitate, learn from each other and make optimal choice accordingly. The paper uses random learning game and multi-agent system models to construct a Chinese traditional industrial clusters low carbon evolution model and introduce an algorithm based on the network external effect and characteristics of agents adaptive behavior. Then the simulation of low-carbon competition, emergence and evolution was conducted, which produced some valuable conclusions.

The exit configurations of CFB strongly influence the bulk density profile and the internal circulation of the bed material, which is called the end effect. This study analyzes the influence of three exit geometries and two narrowed exit geometries on hydrodynamics. Experiments indicate that the exit with the projected roof in CFB may be used as a separator and the projected height has a maximum. Narrowing the bed cross section near the bed exit zone is a simple and effective way to enhance the internal circulation and reduce the circulation of bed material simultaneously.

U-boot is an open source project under the protocol of GPL, which has been widely used as boot application on embedded system. Normally, U-boot initializes hardware and send to hardware information to the embedded OS. In mobile thermals, especially in the arm-based mobile device, U-boot has played an important role. U-boot supports many kinds of development boards. However it does not support every board, so it needs to be modified to fit other board. This paper analyses the boot procedure and the source code of U-boot, studies how to add a custom command on U-boot source, analyses the protocol of USB, then gives us a new way to download the binary U-boot file or the kernel directly to RAM and run. In this way, we do not need to burn the binary U-boot file or the kernel to Flash. This has save a lot of time in embedded system development.

To study the heavy hydrostatic bearing with multiple oil pads, a reasonably simplified model of the pad is put forward, and the mathematical model of the bearing characteristics of the multiple oil pad hydrostatic bearing is built with consideration of variable viscosity. The pressure field in the clearance oil film of the hydrostatic bearing at various velocities is simulated based on the Finite Volume Method (FVM) by using the software of Computational Fluid Dynamics (CFD). Some pressure experiments on the hydrostatic bearing were carried out and the results verified the rationality of the simplified model of the pad and the validity of the numerical simulation. It is concluded that the viscosity has a great influence on the pressure in the heavy hydrostatic bearing and cannot be neglected, especially, in cases of high rotating speed. The results of numerical calculations provide the internal flow states inside the bearing, which would help the design of the oil cavity structure of the bearing in engineering practice.

Nerve distal axon injury-induced Wallerian degeneration is significantly delayed in Wallerian degeneration slow (Wld(s)) mutant mice, although the associated mechanisms are not completely clear and the role of Wld(s) in retinal ganglion cell (RGC) body damage is not fully understood. In the present study, a Wallerian degeneration model was established in wild-type (WT) and Wld(s) mutant mice by creating mechanical injury in the optic nerves. Wallerian degeneration and RGC body collapse were observed to be significantly delayed in the Wld(s) mice. Electroretinograms (ERG) and visual evoked potentials (VEPs) in Wld(s) mice were also significantly improved at the earlier stages (one week) following injury. The retina immunohistochemistry results showed that Wld(s) mice had more ordered cells and improved inner granular cell layer arrangement compared with the WT mice. Optic nerve Luxol Fast Blue (LFB) staining showed greater axon demyelination in WT mice than in Wld(s) mice. A large number of apoptotic cells were also observed in the WT mice. The present results suggest that the Wld(s) gene may also protect the RGC body following nerve injury.

In order to predict the result of impact test in the design phase and reduce the experimental times, which can save cost and shorten development cycle, a finite element model of aluminum alloy wheel 13-degree impact test is established based on Abaqus. All mechanical parts such as the standard impact block, the assembly of the wheel and the tire, the support and bolts are included in the finite element model. The predicted result of finite element analysis and the experimental result agree very well shows the finite element model is correct. The equivalent plastic strain value was also put forward as fracture criterion for the wheel in the impact test which realizes the transition from the qualitative analysis to the quantitative analysis in the development process of aluminum alloy wheel.

To get the better choice for achieving higher stability and reproducibility of the output voltage pulse of the generator, two pancake switches commonly used in the low energy, high peak power Marx generator have been compared. The comparison is done in several aspects including the structure, the electric field distribution, and the breakdown characteristics. Some useful conclusions are drawn. And there is a big difference between the structural capacitances of the two gas switches as a result of the different configuration of their electrodes. So a circuit simulation of the switch used in a simple, basic, two-stage Marx circuit has been done on both switches respectively.