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This paper reports the control method for the core power of the China initiative Accelerator Driven System (CiADS) facility. In the CiADS facility, an intense external neutron source provided by a proton accelerator coupled to a spallation target is used to drive a sub-critical reactor. Without any control rod inside the sub-critical reactor, the core power is controlled by adjusting the proton beam intensity. In order to continuously change the beam intensity, an adjustable aperture is considered to be used at the Low Energy Beam Transport (LEBT) line of the accelerator. The aperture size is adjusted based on the Proportional Integral Derivative (PID) controllers, by comparing either the setting beam intensity or the setting core power with the measured value. To evaluate the proposed control method, a CiADS core model is built based on the point reactor kinetics model with six delayed neutron groups. The simulations based on the CiADS core model have indicated that the core power can be controlled stably by adjusting the aperture size. The response time in the adjustment of the core power depends mainly on the adjustment time of the beam intensity.

A new ruthenium complex was synthesized, which can effectively prevent the development of S. aureus drug-resistance and with high antibacterial activity in vitro and in vivo.

Our study is to investigate the feasibility and effectiveness of multiple cardiovascular factors intervention (MFI) in type 2 diabetes patients in China's primary care setting.We performed a cluster randomized trial to compare the proportion of patients achieved the targets between usual care group (control, 9 sites, n = 868) and MFI group (8 sites, n = 739) among patients with type 2 diabetes in primary care setting. Logistic regression model with random effects was used to estimate the association of the effect of intervention and the proportion achieved the targets.At baseline, the end of 1 year, and 2 years follow-up, the proportion of patients achieved all 3 target goals (HbA1c 7.0%, blood pressure 130/80 mm Hg and low-density lipoprotein cholesterol 2.6 mmol/L) were 5.7%, 5.9%, 5.7% in the control group and 5.9%, 10.6%, 12.3% in the MFI group. After adjusting sex, age, diabetes duration, body mass index, HbA1c, blood pressure, and low-density lipoprotein cholesterol at baseline, there was no difference between the 2 groups (OR (95% CI): 1.27 (0.38-4.27) and 1.86 (0.79-4.38) for the first year and second year, respectively). When stratified by payment method, the patients with medical insurance or public expenses had a higher proportion achieved target goals (6.9% vs 16.4%, OR (95% CI): 2.30 (1.04-5.08)) in the second year.The controlling of cardiovascular risk factor targets remains suboptimal among patients with type 2 diabetes in primary care setting. MFI in type 2 diabetes improved cardiovascular disease risk profile, especially in the patients with medical insurance.

We developed a Dual-PPACs detector for fast neutron measurements that consists of two sets of PPAC: conventional PPAC and fission PPAC. A238U(U3O8) coating is placed in the fission PPAC’s anode, which is used as the neutrons conversion layer. An experiment was performed to measure neutron time-of-flight (TOF) in which 252Cf spontaneous fission source was used. An excellent time resolution of 164ps has been observed at 6 mbar in isobutene gas. With the excellent time resolution of Dual-PPACs detector, exact neutron energy can be extracted from the timing measurement. The experimental detection efficiency was 1.9 × 10−7, consistent with the efficiency of 2.5 × 10−7 given by a Geant4 simulation. Ultimately, the results show that the Dual-PPACs detector is a suitable candidate for measuring fast neutrons in the future CiADS system.

The contradiction between supply and demand of China's health resources has become increasingly prominent under the strategic requirement of “High-quality public health development”. Especially in the context of accelerated population aging and changes in the disease spectrum, chronic diseases and other health issues are increasingly concerned. The government, as the main supplier, have to solve the outstanding conflicts of imbalance in resource allocation in the region. Our study aims to analyze inequalities in the utilization behavior of basic public health services for chronic diseases, to explore the influence of both supply and demand elements, and to assess whether the balanced allocation of resources at different levels within a region can contribute to equalization of basic public health services. This study collected the health insurance swipe records of diabetic patients in S city, and visualizes the supply and demand of medical resources on a map. Secondly, we construct a heterogeneous graph neural network(GNN) of hospital-patient medical resource utilization to explore the combinatorial effects of unequal utilization. Finally, we predict the changes in patients' behavior after two supply optimization means of improving the service quality of primary care institutions and sinking of high-quality medical resources. The analysis shows that the utilization of regional healthcare resources is also influenced by the center-edge supply structure, and the concentration of high-quality resources in urban centers not only squeezes the utilization space of primary hospitals, but also causes difficulties in access to high-quality resources for patients in shortage areas, which results in an unreasonable trend of patient mobility. We predict that a balanced allocation of medical resources at all levels in the region will significantly reduce the need for chronic disease patients to seek high-quality medical resources over long distances, but the siphoning effect of regional medical centers still remains. The policy should further continue to increase the investment in primary health institutions while improving the radiation range of regional medical centers, and establish “close medical associations” to achieve equalization of basic public health services.

BACKGROUND Spontaneous renal rupture is a rare disease in the clinic. The causes of spontaneous renal rupture include extrarenal factors, intrarenal factors, and idiopathic factors. Reports on infection secondary to spontaneous renal rupture and the complications of spontaneous renal rupture are scarce. Furthermore, there are few patients with spontaneous renal rupture who present only with fever. CASE SUMMARY We present the case of a 52-year-old female patient who was admitted to our hospital. She presented only with fever, and the cause of the disease was unclear. She underwent a contrast-enhanced computed tomography (CT) scan, which showed that the left renal capsule had a crescent-shaped, low-density shadow; the perirenal fat was blurred, and exudation was visible with no sign of calculi, malignancies, instrumentation, or trauma. Under ultrasound guidance, a pigtail catheter was inserted into the hematoma, and fluid was drained and used for the bacterial test, which proved the presence of Klebsiella pneumoniae. Two months later, abdominal CT showed that the hematoma was absorbed, so the drainage tube was removed. The abdominal CT was normal after 4 mo. CONCLUSION Spontaneous renal rupture due to intrarenal factors causes a higher proportion of shock and is more likely to cause anemia.

Extruded glutelin/rice starch composites were prepared using twin-screw extrusion at various specific mechanical energies (SME), and the interaction mechanism of glutelin and rice starch was investigated at the molecular level. The results indicated that the structure of glutelin was destroyed, hydrophobic interactions and hydrogen bonds between rice starch and glutelin were formed and enhanced as the SME increased, and new hydrogen bonds were formed at the carbonyl (δ- and γ-carbons of glutelin) and C-1 of Tyr. Molecular docking studies confirmed that SME promoted the simultaneous occurrence of the Millard reaction and non-covalent reaction between glutelin and small molecular sugars produced by starch degradation, providing information on binding sites. Additionally, scanning electron microscopy (SEM) revealed dense and uniform flake-like structures induced by these binding interactions. Overall, insights into the interaction mechanism of rice starch and glutelin provide theoretical references for generating reconstituted rice products using extrusion processing.

Ulcerative colitis (UC) is a chronic lifetime disorder with a high incidence worldwide. A functional food-based method to prevent UC would be a good option for disease control. G. lemaneiformis oligosaccharides (GLOs) should have potent benefits for the gastrointestinal tract, based on in vitro fermentation assessed in our previous study. This study evaluated the therapeutic potential of GLOs in UC, as well as their possible mechanisms of action. The administration of GLOs was able to reduce the severity of dextran sulphate sodium-induced colitis by protecting mice from weight loss, reductions in colon length, inflammatory infiltration, and colon damage. Gut microbiota composition analysis showed that at the phylum level, GLOs could restore the composition of Bacteroidetes and decrease the level of Firmicutes. Consistently, it increased the contents of beneficial microbial metabolites and short-chain fatty acids in the mouse colitis model. In conclusion, GLOs could comprise a promising functional food strategy to alleviate UC symptoms.

It is extremely challenging to apply an Inertial Navigation System (INS) to a gun-launched rolling projectile effectively. Overcoming the negative effects produced by high angular rolling and overloading requires innovative solutions. This paper introduces a unique inertial system that differs from a traditional gimballed INS and a strapdown INS. A Partial Strapdown Platform (PSP) was developed based on the principle of a pendulum to mitigate the adverse effects of projectile rolling motion. The anti-overloading performance of the PSP was improved by using a pair of specially designed alloy steel head-on hemispheres. Force condition analysis was conducted on the projectile and the PSP’s inner cylinder to establish the mechanical dynamic model. Computer simulations and turntable experiments were performed to verify the stabilization function of the PSP. The pitch angle was determined to be associated with the stability of the PSP based on simulations and experiments. Gun firing tests were performed to verify the overload-burdening and stabilization functions of the PSP.

Because the dual-mass MEMS gyroscope’s output is greatly influenced by temperature, which can lead to errors that cannot be ignored. To solve this problem, a novel compensation method is proposed: a parallel processing algorithm, which integrates the Permutation entropy (PE), Local Characteristic-scale Decomposition (LCD) and Adaptive network-based fuzzy inference system (ANFIS). Firstly, LCD is used to decompose the output which contains temperature noises and drifts into a trend component and several intrinsic scale components (ISC), according to autocorrelation and complexity, three different categories will be obtained by PE: pure noise output, mixed output, and drift output. The different processes are as follows, the noise output is discarded, the mixed output is filtered by SG (Savitzky-Golay filter), then dual ANFIS is applied. Since the drift output completely reflects the temperature characteristics, the degree of non-linearity is high, the ANFIS with complex rules is used for processing. And the mixed output is composed of intermediate layer modes, containing a relatively small amount of temperature characteristics, simple rule ANFIS is adopted for processing. Finally, the signal is reconstructed. After that, the temperature error experiment is carried out, the result shows the method can effectively eliminate the error and compensate for the drift, it has a fast convergence speed and good effect, and has the advantage of good compensation efficiency.

All-optical wavelength conversion technology based on four-wave mixing (FWM) effect is a promising development need of the modern high-speed optical signal processing system. In this work, we report on the polarization insensitive four-wave mixing based on graphene for all optical wavelength conversion. To overcome the polarization sensitivity of FWM, a dual-pump configuration was proposed based on the combination of graphene and the optical fibers. Our experimental results illustrate that by using the dual pump configuration, the FWM-based wavelength conversion efficiency, can be enhanced by graphene with about 8 dB when the state of polarization of the two pumps are parallel. This proposed all-optical wavelength converter based on graphene may provide a new approach for the next generation optical communications and signal processing.

A 2-year field study was conducted to compare the effect of wheat straw, its biochar, and wheat straw plus biochar addition on soil fluxes of CO2, CH4, and N2O during the growing season, and soil properties and crop yield in a Black Chernozemic soil planted to barley (Hordeum vulgare L.) in central Alberta, Canada. The objective was to assess the benefit of applying biochar instead of its feedstock, wheat straw, in improving environmental sustainability. Biochar addition did not affect soil CH4 oxidation, but decreased CO2 and N2O emissions as compared with both wheat straw applied alone and wheat straw and biochar applied together in 2010 and 2011 (p < 0.001), and resulted in a lower global warming potential, indicating that the biochar was effective in mitigating greenhouse gas (GHG) emission from the agricultural soil, as a result of biochar suppressing soil microbial activity and reducing soil N availability. Biochar application reduced N2O emission over 2 years, indicating its longer-term impact. Biochar application alone increased barley yield by 9.9 to 20.4% as compared to the other three treatments, thus reducing yield-scaled greenhouse gas emission intensity by 27.2 to 50.9% (p = 0.013 for the control and p < 0.001 for both wheat straw–amended treatments), with an average reduction of 3.43 t CO2-eq t−1 grain. The application of both wheat straw and its biochar reduced the temperature sensitivity of soil CO2 emission (Q10, p < 0.001), but the application of wheat straw or its biochar alone did not affect Q10, indicating that biochar application reduces the sensitivity to temperature changes of the decomposition of the new organic matter added to the soil. We conclude that (1) the application of wheat straw–derived biochar was preferred to raw wheat straw in mitigating GHG emission and (2) biochar can be an effective management strategy for properly handling crop residues in sustainable agriculture.

We have developed a position-sensitive Parallel Plate Avalanche Counter (PPAC) to detect the fission fragments and reconstruct the fission reaction plane in the experiment of studying nuclear equation of state (nEOS) by means of heavy ion collision (HIC). This experiment put forward high requirements for the performances of PPAC, such as the time resolution, efficiency and position resolution. According to these requirements we designed the PPAC with an active area of 240 mm × 280 mm working at low gas pressure. The results show that time resolution could be less than 300 ps. Position resolution is consistent with the theoretical calculation about 1.35 mm. Detection efficiency could be approaching 100% gradually with the voltage increasing in different gas pressures. The performances of PPAC have also been verified in beam experiment. Each set of anode wires can be accurately separated in the position spectrum. In the beam experiment, we also got the back-to-back correlation of fission fragments which is one of the direct signals characterizing binary decay. Keywords: PPAC, nEOS, Time resolution, Position resolution, Efficiency

The accurate state of charge (SOC) estimation can protect the battery from overcharging and over-discharging, and it is useful to make an effective dispatching strategy. The extended Kalman filter (EKF) method is used to estimate SOC widely. But it does not consider the SOC constraints. Moreover, the convergence is influenced by the uncertain initial SOC, which may lead to false alarm, unwanted operation of protection, error dispatching and poor robustness of the system. This paper presents an improved extended Kalman filter (IEKF) method to estimate SOC for vanadium redox battery (VRB) by introducing a gain factor. It can be adjusted automatically according to the output error and SOC boundary. To implement IEKF estimator, a VRB state space model is established and its parameters are identified by recursive least square (RLS) method. Then a VRB of 5kW/30kWh experimental platform is built. Finally, the IEKF method is validated and compared with EKF against unknown initial value through the experiments. The results have shown that IEKF method is superior to EKF in terms of accuracy, convergence speed and robustness. And the estimated SOC remains bounded by using IEKF method. It is more suitable for SOC estimation than EKF algorithm in the industrial applications.

CRISPR-Cas9-mediated genome editing depends on PAM recognition to initiate DNA unwinding. PAM mutations can abolish Cas9 binding and prohibit editing. Here, we identified a Cas9 from the thermophile Alicyclobacillus tengchongensis for which the PAM interaction can be robustly regulated by DNA topology. AtCas9 has a relaxed PAM of N

Predicting the groundwater level of karst aquifers in North China Coalfield is essential for early warning of mine water hazards and regional water resources management. However, the dynamic changes of strata structure and hydrogeological parameters driven by coal mining activity cause challenges to the process-oriented groundwater model. In order to achieve accurate prediction of groundwater level in large mining areas, this study was the first to use the data-driven Nonlinear Autoregressive with External Input (NARX) model to predict the groundwater level of six karst aquifer observation wells in Pingshuo Mining Area. Three variable input scenarios were set up, solely considering meteorological factors, anthropogenic disturbance factors, and considering both meteorological and anthropogenic disturbance factors. The novel partial mutual information (PMI) screening algorithm was adopted to determine optimized input variables in each scenario. The input and feedback delay coefficients of NARX model were determined by using Seasonal-trend Decomposition Procedure Based on Loess (STL) algorithm and auto- and cross-correlation functions. The results showed that PMI algorithm can effectively screen out the optimal input variables for predicting groundwater level, the NSE coefficients of the PMI-NARX models under the three scenarios were 38.81%, 4.26% and 41.46% higher than those of the corresponding control experiments, respectively. In addition, the prediction performance of the PMI-NARX built on the basis of meteorological factors is poor (NSE0.63). However, in scenarios which solely use anthropogenic disturbance factors and both use meteorological and anthropogenic disturbance factors, the PMI-NARX coupling models exhibit good prediction performance (NSE and R

Soil-dissolved organic matter (DOM) drives the carbon (C) and nitrogen (N) cycles in agroecosystems. Despite many studies on DOM dynamics, hardly any attention has been directed toward DOM quality, particularly DOM composition. The aim of this study was to elucidate how C and N management practices alter soil water-extractable organic matter (WEOM) in a loess soil agroecosystem. Field experiments were conducted with a winter wheat monoculture. Three N fertilization rates (0, 120, and 240 kg ha−1 year−1) were applied for 17 years (2002–2019), combined with five C practices (zero, low, and high rates of sheep manure or wheat straw) for three years (2016–2019). The results reveal that soil organic carbon (SOC) and water-extractable organic carbon (WEOC) concentrations in the topsoil (0–20 cm) were increased by organic amendments considerably but were not affected by N fertilization. The fluorescence excitation–emission matrix spectra (EEM) of WEOM were resolved to two humic-like components (C1 and C2) and two soluble microbial byproduct-like components (C3 and C4). The proportions of C1 and C2 were increased, while the proportion of C3 was decreased by both C and N management practices. In conclusion, organic amendments increased both WEOM quality and its proportion of humic-like components, whereas N fertilization increased the proportion of humic-like components without variations of WEOM quality in the topsoil of loess soil.

Terrestrial carbon cycle plays a key role in driving climate change and ecosystem carbon balance. Understanding the variations of humidity and temperature and CO陆面碳循环在气候变化和生态系统碳收支平衡中起到关键作用。水热变化与CO

As the main source of soil moisture supply in desertified areas, rainfall has a profound impact on soil moisture changes and plays an important role in deep soil moisture replenishment. Based on the Hydrus-1D model with optimized parameters, we analyzed the dynamic change process of the leakage in the 200 cm deep layer of the semi-mobile dunes in Horqin Sandy Land and its response to the rainfall patterns. The results showed that the averaged leakage replenishment of semi-mobile dunes was 254.31 mm from April to October each year during 2016 to 2019, accoun-ting for 61.8% of the rainfall in the same period. Deep leakage mainly occurred from June to August, accounting for 72.8% of the total. The leakage rate was distributed between 0.03-2.70 mm·h降雨是荒漠化地区土壤水分的主要补给源,对土壤水分的变化有着深远影响,在沙区深层土壤水分补给中具有重要作用。本研究基于参数优化后的Hydrus-1D模型,分析了半干旱的科尔沁沙地半流动沙丘200 cm深层渗漏量的动态变化过程及其对降雨格局的响应关系。结果表明: 2016—2019年4—10月,半流动沙丘的年均渗漏补给量为254.31 mm,占同期降雨量的61.8%。深层渗漏主要发生在6—8月,该期渗漏量占比72.8%;渗漏速率变化在0.03～2.70 mm·h

Ulcerative colitis (UC) is a chronic lifetime disorder with a high incidence worldwide. A functional food-based method to prevent UC would be a good option for disease control.

Divertor detachment achieved by injecting impurities or increasing density is always accompanied with various local radiation phenomena in the boundary or core plasma. This paper presents the formation and evolution of the high-field-side (HFS) radiation belts during the neon seeding plasma discharge in upper single null configuration with two directions of toroidal magnetic field in EAST tokamak. The neon mixed with deuterium seeding can induce the divertor detachment with strong radiation belts in the HFS scrape-off layer (SOL) region. With the increase of the radiation power, the plasma discharge will transit from H-mode to L-mode, and meanwhile the radiation belts move away from the near X-point to HFS SOL. When the radiation power is high enough, the radiation belts begin to move further to the other X-point along the HFS SOL, and even cause plasma disruption. The results indicate that the behavior of the radiation belts is related to the radiation power, plasma confinement performance and state of divertor detachment, which is useful for developing better feedback control methods to achieve high-performance radiative divertor operation mode.

A consistent measurement of the inclusive single-neutron removal cross sections of $^{14,15,16}\mathrm{C}$ on a carbon target at around 240 MeV/nucleon has been performed at the External Target Facility, HIRFL-CSR, and compared with Glauber model predictions using shell-model spectroscopic strengths between the initial projectile ground state and configurations of bound core state $+$ valence neutron state as input. For the dependence of the spectroscopic factor reduction characterized by the ratio ${R}_{s}$ of the experimental over theoretical single-nucleon removal cross section on the bounding depth $\mathrm{\ensuremath{\Delta}}S$ of the removed nucleon established in single-nucleon removals with beam energies mainly over 80--120 MeV/nucleon, our measurement gives ${R}_{s}$ values that conform to the earlier ${R}_{s}\text{\ensuremath{-}}\mathrm{\ensuremath{\Delta}}S$ systematics, where the relatively higher incident beam energy facilitates the applicability of the eikonal and sudden approximation used in the Glauber model.

For the hierarchical Poisson and gamma model, we calculate the Bayes posterior estimator of the parameter of the Poisson distribution under Stein's loss function which penalizes gross overestimation and gross underestimation equally and the corresponding Posterior Expected Stein's Loss (PESL). We also obtain the Bayes posterior estimator of the parameter under the squared error loss and the corresponding PESL. Moreover, we obtain the empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior by two methods. In numerical simulations, we have illustrated: The two inequalities of the Bayes posterior estimators and the PESLs; the moment estimators and the Maximum Likelihood Estimators (MLEs) are consistent estimators of the hyperparameters; the goodness-of-fit of the model to the simulated data. The numerical results indicate that the MLEs are better than the moment estimators when estimating the hyperparameters. Finally, we exploit the attendance data on 314 high school juniors from two urban high schools to illustrate our theoretical studies.

The aim of this study was to screen plant species for remediation of oil-polluted soil in a semi-arid loess area. Pot experiments were conducted to test six indigenous plant species: ryegrass (Lolium perenne), tall fescue (Festuca ovina), wheatgrass (Agropyron cristatum), alfalfa (Medicago sativa), erect milkvetch (Astragalus adsurgens), and caragana (Caragana korshinskii). Loessial soil was spiked with crude oil at five pollution levels (0, 0.5, 1, 2, and 4%, w/w). We analyzed plant growth parameters at different stages, soil oxidoreductase activities, and oil degradation rate under different treatments. Soil pollution by oil negatively affected the germination rate, plant height, and biomass of all six species while inhibiting soil dehydrogenase and catalase activities. These inhibitory effects increased with increasing oil pollution level, with 2% and 1% being the critical levels at which plant growth and soil oxidoreductase activities were significantly inhibited, respectively. Both oxidoreductase activities in the rhizosphere soil were significantly higher than those in the bulk soil, which led to a considerable increase in the degradation rate of total petroleum hydrocarbons (TPHs) in the rhizosphere. The plants showed varying remediation effects in the oil-polluted soil. Erect milkvetch and caragana showed potential for remediation of soil below the 0.5% pollution level, alfalfa for soil below the 1% pollution level, and ryegrass, tall fescue, and wheatgrass for soil below the 4% pollution level. The oil pollution level was negatively correlated with plant height, biomass, oxidoreductase activities, and TPH degradation rate for the six plants (p

The External Target Facility (ETF) has been constructed for reaction studies with high-energy secondary beams of several hundred MeV/u. The charged fragment detector system of ETF consists of a dipole magnet, tracking drift chambers, ionization chambers and plastic scintillators for particle identification (PID) via B ρ - Δ E-TOF method. The system is now ready for physics experiments. Before physics runs, it has been tested using 280 MeV/u 18O primary beam as well as the secondary beams produced by projectile fragmentation. The system used as a magnetic spectrometer has exhibited satisfying PID capability in identifying fragments ranging from nitrogen to beryllium.

In the study of nuclear structure, the fast timing technique can be used to measure the lifetime of excited states. In the paper, we have developed a new fast timing system, which is made up of two LaBr3:Ce detectors and a set of waveform sampling system. The sampling system based on domino ring sampler version 4 chip (DRS4) can digitize and store the waveform information of detector signal, with a smaller volume and higher timing accuracy, and the waveform data are performed by means of digital waveform analysis methods. The coincidence time resolution of the fast timing system for two annihilation 511 keV γ photon is 200ps (FWHM), the energy resolution is 3.5%@511 keV, and the energy linear response in the large dynamic range is perfect. Meanwhile, to verify the fast timing performance of the system, the 152Gd-21+ state form β+ decay of 152Eu source is measured. The measured lifetime is 45.3(±5.0)ps, very close to the value of the National Nuclear Data Center (NNDC: 46.2((±3.9)ps). The experimental results indicate that the fast timing system is capable of measuring the lifetime of dozens of ps. Therefore, the system can be widely used in the research of the fast timing technology. Keywords: Fast timing technique, LaBr3:Ce scintilator, Waveform sampling system, Excited state lifetime

Alpine and subalpine ecosystems on Qinghai-Tibetan Plateau are rich in soil organic carbon and are among the most sensitive regions to climate change, while little is known about the dynamics of soil carbon dioxide (CO2) in alpine/subalpine ecosystems except for the grassland on the plateau. In this study, the monthly and inter-annual variations in soil CO2 emission from a subalpine coniferous forest and a subalpine shrubland ecosystem on the eastern edge of the Qinghai-Tibetan Plateau were investigated from 2012 to 2015 using the opaque steady-state chamber method. Soil CO2 flux rate during the growing season ranged from 153.3 to 683.6 mg m−2 h−1 in the coniferous forest, being twice of that (76.6–347.3 mg m−2 h−1) in the shrubland, due to the elevation-induced differences in soil temperature and water content and the vegetation-induced differences in soil carbon and nitrogen pools. Both ecosystems showed large monthly variations in soil CO2 flux rate, while relative to the coniferous forest, the shrubland had a less inter-annual variation in soil CO2 emission. The two ecosystems had the same temperature sensitivity of soil CO2 emission, which suggests that they will respond similarly to global warming concerning soil CO2 flux rate. The results highlight the importance of soil CO2 emission in subalpine forest and shrubland ecosystems, which can be helpful to reduce the uncertainty of regional estimates of carbon budget in subalpine regions under global warming.

Gasoline is considered as a high caloric value fuel with high potential for commercial applications such as transportation, electricity generation and production of chemicals. Currently, the majori...

Background This study aimed to comprehensively evaluate laboratory quality in China and explore factors affecting laboratory errors through analyzing the external quality assessment (EQA) results of quality indicators (QIs). Methods According to model 3 (interpretive) of the proficiency testing scheme, the National Center for Clinical Laboratories of China (CNCCL) developed a questionnaire for 15 QIs. Clinical laboratories from different provinces of China participated in the EQA program of QIs annually and submitted data via an online reporting system named Clinet-EQA. The results of QIs were expressed in percentage and sigma value or minute. Three levels of quality specifications (QSs) were defined based on percentile values. Furthermore, the QIs were analyzed by disciplines, hospital scales and information construction levels of participant laboratories. Results A total of 3450 laboratories nationwide continuously attended the EQA program and submitted complete data from 2015 to 2018. The performance of most QIs has improved year by year. QIs in post-analytical gained the best performance with sigma values that varied from 5.3σ to 6.0σ. The comparison of results among different disciplines showed significant differences for five QIs. More than half of QIs had statistical differences among different hospital scales measured by hospital grades and number of hospital beds. The performance of nine QIs were influenced by information construction levels of participant laboratories. Conclusions The overall laboratory quality in China has improved since the initiation of EQA program for QIs, but the performance of some QIs was still unsatisfactory. Therefore, laboratories should make efforts for continuous quality improvement based on information provided by QSs.

A new α-emitting isotope ^{214}U, produced by the fusion-evaporation reaction ^{182}W(^{36}Ar,4n)^{214}U, was identified by employing the gas-filled recoil separator SHANS and the recoil-α correlation technique. More precise α-decay properties of even-even nuclei ^{216,218}U were also measured in the reactions of ^{40}Ar, ^{40}Ca beams with ^{180,182,184}W targets. By combining the experimental data, improved α-decay reduced widths δ^{2} for the even-even Po-Pu nuclei in the vicinity of the magic neutron number N=126 are deduced. Their systematic trends are discussed in terms of the N_{p}N_{n} scheme in order to study the influence of proton-neutron interaction on α decay in this region of nuclei. It is strikingly found that the reduced widths of ^{214,216}U are significantly enhanced by a factor of two as compared with the N_{p}N_{n} systematics for the 84≤Z≤90 and N

To systematically evaluate the clinical efficacy and safety of Lianhua Qingwen in the treatment of adult pneumonia. The randomized controlled trial of Lianhua Qingwen combined with conventional Western medicine in the treatment of pneumonia were retrieved from PubMed, EMbase, Wanfang database, VIP database, and CNKI from the establishment of database to March 2020. Two researchers independently conducted literature screening and data extraction, and the third researcher was in charge of arbitration in case of any disagreement. Outcome indicators included total clinical effective rate, symptom improvement time, and incidence of adverse events. R 3.6.1 was used for Meta-analysis, and RevMan 5.3 was used for quality evaluation. Twenty-two studies were included, with a total of 2 007 patients, including 1 017 patients in the experimental group and 990 patients in the control group. The results showed that the total clinical effective rate of the experimental group was higher than that of the control group(RR=1.11, 95%CI[1.08, 1.15], Plt;0.001), and the antifebrile time(MD=-1.81, 95%CI[-2.42,-1.21], Plt;0.001), cough duration(MD=-2.32, 95%CI[-2.89,-1.76], Plt;0.001), rale duration(MD=-2.19, 95%CI[-2.74,-1.63], Plt;0.001), imaging recovery time(MD=-2.17, 95%CI[-2.76,-1.58], Plt;0.001) and post-treatment CRP(MD=-4.07, 95%CI[-6.39,-1.75], Plt;0.001] were all significantly lower than those of the control group. However, it did not proved that the experimental group was safer than the control group(RR=0.84, 95%CI[0.57, 1.24], P=0.382). The results confirmed that Lianhua Qingwen combined with conventional Western medicine in the treatment of pneumonia could improve the clinical treatment efficiency, shorten the time of fever, cough, rale disappearance and imaging recovery, improve CRP index and accelerate the recovery of pneumonia patients. However, the literatures included in this study had a low quality, and the conclusions still need to be further confirmed by more high-quality, multi-center, rigorously designed randomized controlled trial.

Emerging evidence suggests that long noncoding RNAs (lncRNAs) play important roles in disease development. However, the roles of lncRNAs in the pathogenesis of Candida albicans (C. albicans) remain unclear. Our study aimed to investigate and characterize the mRNA and lncRNA transcriptomes of CD14

The compact spectrometer for heavy ion experiment (CSHINE) is under construction for the study of isospin chronology via the Hanbury Brown–Twiss (HBT) particle correlation function and the nuclear equation of state of asymmetrical nuclear matter. The CSHINE consists of silicon strip detector (SSD) telescopes and large-area parallel-plate avalanche counters, which measure the light charged particles and fission fragments, respectively. In phase I, two SSD telescopes were used to observe 30 MeV/u $$^{40}$$ Ar + $$^{197}$$ Au reactions. The results presented here demonstrate that hydrogen and helium were observed with high isotopic resolution, and the HBT correlation functions of light charged particles could be constructed from the obtained data.

Background. In the general population, acute myocardial infarction (AMI) represents a significant cause of mortality. This study is aimed at identifying novel diagnostic biomarkers to aid in treating and diagnosing AMI. Methods. The Gene Expression Omnibus (GEO) database was explored to extract two microarray datasets, GSE66360 and GSE48060, which were subsequently merged into a single cohort. Both AMI and control samples were analyzed for differentially expressed genes (DEGs), which were subsequently subjected to weighed gene coexpression network analysis (WGCNA) to identify the most significant module. Gene Ontology (GO) and pathway analyses subsequently carried out the most significant gene modules along with construction of a protein-protein interaction network (PPI). Cytoscape plugin cytoHubba allowed for the prediction of the top 4 key genes according to the network maximal clique centrality (MCC) algorithm. The expression levels and diagnostic value of the four key genes were additionally verified in the GSE62646 dataset. Results. A WCGNA analysis revealed 878 DEGs which were clustered into 6 modules. The module with the most significance in AMI was colored blue. Subsequent GO and KEGG pathway enrichment analysis on blue module genes revealed that they were primarily enriched in the inflammation-related pathways. These findings, in combination with PPI and coexpression networks, resulted in the identification of the top four genes by cytoHubba, which included leukocyte immunoglobulin-like receptor B2 (LILRB2), toll-like receptor 2 (TLR2), neutrophil cytosolic factor 2 (NCF2), and S100A9. Among them, LILRB2, NCF2, and S100A9 were validated in the GSE62646 dataset. Conclusions. The results suggested that LILRB2, NCF2, and S100A9 could be potential gene biomarkers for AMI.

Human-related factors are a crucial inducement of traffic accidents. Understanding the influence of freeway environments on the driving behavior and workload experienced by drivers has been demonstrated to be of primary importance for improving traffic safety. To study the effect of alignment, traffic flow, and sign information on drivers’ mental workload and behavior, 16 scenarios were constructed using the orthogonal design method, and simulated driving experiments were carried out with 45 participants. During driving, indicators such as the mean and standard deviation of vehicle speed and lane departure were collected, and the NASA-TLX questionnaire was adopted to measure workload. Analysis of variance results indicated that the radius of the horizontal curve, gradient, flow, and sign information level have a significant influence on drivers’ workload and speed keeping ability. In addition, the horizontal curve radius has a significant effect on lane keeping ability. The importance of safety influencing factors on driving workload and performance was quantitatively ranked by integrating the trend of Deng’s correlation degree, comprehensive correlation degree, and similar correlation degree, whose weight was calculated using the entropy method. Traffic sign information was found to have the greatest impact on workload. In terms of driving performance, traffic volume has the greatest influence on the mean and standard deviation of vehicle speed, followed by the amount of sign information. Lane departure is most affected by the radius of the horizontal curve. These findings provide guidance for freeway traffic safety regulation, including workload control and road facility optimization.