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To examine whether corneal epithelial dendritic cells (CEDC) could serve as an indicator to distinguish obstructive meibomian gland dysfunction (MGD) with or without ocular surface inflammation (OSI). We performed a case-control study on patients with diagnosed obstructive MGD between August 2017 and November 2019. 30 MGD cases and 25 healthy controls were recruited. The classification of MGD patients with and without OSI was based on the tear pro-inflammatory cytokine levels. Compared with the MGD without OSI and the control group, a higher CEDC density was detected in the MGD with OSI subgroup. The presence of >15.6 cells/mm2 CEDC had a sensitivity of 73% and specificity of 75% for the diagnosis of MGD with OSI. OSI is not present in all patients with obstructive MGD. Evaluation of CEDC density in the central cornea may help identify whether MGD is concomitant with OSI.

Vehicle re-identification (Re-ID) involves identifying the same vehicle captured by other cameras, given a vehicle image. It plays a crucial role in the development of safe cities and smart cities. With the rapid growth and implementation of unmanned aerial vehicles (UAVs) technology, vehicle Re-ID in UAV aerial photography scenes has garnered significant attention from researchers. However, due to the high altitude of UAVs, the shooting angle of vehicle images sometimes approximates vertical, resulting in fewer local features for Re-ID. Therefore, this paper proposes a novel dual-pooling attention (DpA) module, which achieves the extraction and enhancement of locally important information about vehicles from both channel and spatial dimensions by constructing two branches of channel-pooling attention (CpA) and spatial-pooling attention (SpA), and employing multiple pooling operations to enhance the attention to fine-grained information of vehicles. Specifically, the CpA module operates between the channels of the feature map and splices features by combining four pooling operations so that vehicle regions containing discriminative information are given greater attention. The SpA module uses the same pooling operations strategy to identify discriminative representations and merge vehicle features in image regions in a weighted manner. The feature information of both dimensions is finally fused and trained jointly using label smoothing cross-entropy loss and hard mining triplet loss, thus solving the problem of missing detail information due to the high height of UAV shots. The proposed method's effectiveness is demonstrated through extensive experiments on the UAV-based vehicle datasets VeRi-UAV and VRU.

BackgroundSeveral studies showed inconsistencies in the relationships between inflammatory rheumatic diseases (IRDs) and the risk of Parkinson's disease (PD). Therefore, we carried out a meta-analysis to investigate the associations between different IRDs and PD risk.MethodsA comprehensive search was undertaken on PubMed, Embase, Cochrane Library, and Web of Science databases up to June 2022. Studies reporting the relationships between IRDs and PD risk were included. Pooled relative risks (RRs) with 95% confidence intervals (CIs) were calculated by using random-effects models.ResultsTwenty-two publications covering seven IRDs containing data from 833,004 patients were identified for quantitative analysis. The pooled results indicated that ankylosing spondylitis (RR = 1.55, 95% CI: 1.31–1.83, I2 = 32.1%, P < 0.001), Sjögren's syndrome (RR = 1.34, 95% CI: 1.22–1.47, I2 = 58.5%, P < 0.001), and Behcet's disease (RR = 1.93, 95% CI: 1.07–3.49, I2 = 57.6%, P = 0.030) were associated with an increased PD risk. However, no significant associations were observed between gout, rheumatoid arthritis, systemic lupus erythematosus, as well as polymyalgia rheumatica and the subsequent development of PD.ConclusionAnkylosing spondylitis, Sjögren's syndrome, and Behcet's disease may increase PD risk.

Ground ice in permafrost stores substantial amounts of dissolved organic carbon (DOC) upon thaw, which may perpetuate a carbon feedback in permafrost regions, yet little is known to date about the dynamics of DOC and source variability of ground ice on the Tibetan Plateau. Here, the high-resolution data of DOC in ground ice (4.8 m in depth) from two permafrost profiles on the Northeastern Tibetan Plateau (NETP) were firstly presented. We quantified the DOC concentrations (mean: 9.7–21.5 mg/L) of ground ice and revealed sizeable—by a factor of 7.0–36.0—enrichment of the ground ice relative to the other water elements on the TP. Results indicated remarkable depth differences in the DOC of ground ice, suggestive of diverse sources of DOC and different sequestration processes of DOC into ice during permafrost evolution. Combined with DOC and carbon isotopes (δ13CDOC), we clarified that decomposition of soil organic matter and leaching of DOC from organic layers and surrounding permafrost sediments are the important carbon sources of ground ice. The DOC sequestration of ground ice in the upper layers was related to the active layer hydrology and freeze–thaw cycle. However, the permafrost evolution controlled the decomposition of organic carbon and sequestration of DOC in the deep layers. A conceptual model clearly illustrated the dynamics of DOC in ground ice and suggested a significant impact on the carbon cycle on the NETP. The first attempt to explore the DOC in ground ice on the NETP is important and effective for further understanding of carbon cycle under permafrost degradation on the Tibetan Plateau.

To improve customer service of power enterprises, this paper constructs an intelligent prediction model for customer complaints in the near future based on the big data on power service. Firstly, three customer complaint prediction models were established, separately based on autoregressive integrated moving average (ARIMA) time series algorithm, multiple linear regression (MLR) algorithm, and backpropagation neural network (BPNN) algorithm. The predicted values of the three models were compared with the real values. Through the comparison, the BPNN model was found to achieve the best predictive effect. To help the BPNN avoid local minimum, the genetic algorithm (GA) was introduced to optimize the BPNN model. Finally, several experiments were conducted to verify the effect of the optimized model. The results show that the relative error of the optimized model was less than 40% in most cases. The proposed model can greatly improve the customer service of power enterprises.

To analyze whether HBV infection can reduce the risk of colorectal liver metastasis (CRLM) in stage 2 colorectal cancer (CRC). The data of postoperative pathological stage 2 CRC patients treated at the Sixth Affiliated Hospital of Sun Yat-sen University between 2013 and 2015 were analyzed. The patients were divided into an infection group (group A) and a non-infection group (group B). The correlations between HBV infection and CRLM, 5-year liver disease-free survival, and 5-year overall survival were compared. A total of 884 patients who met the inclusion criteria were included in the study. Group A included 297 patients (33.60%), and 5 patients (1.68%) had CRLM. Group B included 587 patients (66.40%), and 31 patients (5.28%) had CRLM. The results of correlation analysis and logistic regression analysis showed that HBV infection (P = 0.013, HR = 0.29, 95% CI 0.11–0.77) was a protective factor for CRLM, while CEA > 5 ng/ml (P = 0.002, HR = 3.12, 95% CI 1.51–6.47) and hypertension (P = 0.010, HR = 3.50, 95% CI 1.34–9.09) were risk factors for CRLM. Group A had a significantly better 5-year liver disease-free survival than group B (P = 0.011, HR = 0.31, 95% CI 0.16–0.63), but there was no significant difference in the 5-year overall survival (P = 0.433). HBV infection may reduce the risk of metachronous liver metastasis in stage 2 colorectal cancer.

Additional file 1. Supplementary Figure.

Additional file 2. Supplementary Table.

Using beeswax as wrapping matrix, two types of release-controlled TM (thiamethoxam)/BK(beeswax-kaolin) microcapsules were prepared by adsorbing TM on kaolin and then encapsulated with beeswax, or directly wrapping TM with beeswax. The structure and morphology of the TM/BK microcapsules were characterized. The effects of different preparation methods, the particle size, pH conditions and different additives on the release property of the TM/BK microcapsules were investigated in water and soil column to compare the advantages of the two approaches. Finally, the insecticidal effect of the TM/BK microcapsules against sugarcane borer and rice planthopper was tested. The results show that the TM/BK microcapsules have a better sustained-release in both water and soil, and the release rate is different under different pH conditions. In addition, the releasing time of the TM/BK microcapsules can be modified by different preparation methods and combination of different additives. In the field applications, the insecticidal activity of the TM/BK microcapsules was better than that of non-sustained control group. Especially in the rice field test, 45 days after the application, the control group lost the activity against rice planthopper because of drug loss, whereas the TM/BK microcapsule group still retained about 90% of the insecticidal activity. The results suggest that the microcapsules have better agricultural application for insect control.

Supplemental material, sj-doc-1-sci-10.1177_00368504211058036 for NLRX1 can counteract innate immune response induced by an external stimulus favoring HBV infection by competitive inhibition of MAVS-RLRs signaling in HepG2-NTCP cells by Qian Jiao, Wenxiong Xu, Xiaoyan Guo, Huiyuan Liu, Baolin Liao, Xiang Zhu, Chuming Chen, Fangji Yang, Lina Wu, Chan Xie and Liang Peng in Science Progress

Aiming at the problems of traditional centralized optimization scheduling methods, this paper proposes an improved fully distributed consensus algorithm to achieve optimal economic scheduling. More specifically, the consensus algorithm based on node aggregation and Adam's algorithm is designed to be used in the economic dispatch of load distribution in a completely distributed form, aiming to economically, quickly and effectively allocate the supply and demand balance of the entire system task. Finally, the simulation results of IEEE-14 node system are given in this paper, which proves the effectiveness and good performance of the algorithm.

The number of accidents occurred in special work for petrochemical enterprises was still very high. Controlling the number related to special work from the source was an interesting research direction to reduce the accident rate. The data of permit to work derived of a permit to work system was processed and an event knowledge graph about permit to work was constructed, then from the three aspects of essential defect work, sub-quality work and unplanned work, data mining was used for analyzing unreasonable work objects and work methods. Through the study, the cumulative probability of the permit to work for the spherical body or the specific parts and components of the spherical tank was a logarithmic function of working time interval, and 57.27% of the permit to work tickets were operated repeatedly within 30 days.

In order to improve the accuracy of risk quantification of petrochemical companies and avoid the impact of subjective experience on risk. Based on safety observation data, the risk values of leaked substances of two petrochemical companies were compared. Some interesting conclusions could be found, the risk perceptions of enterprises and people were different significantly. At the beginning people tended to think that the risks of leaked substances were very big, and the magnitudes of similar risks were difficult to be distinguished. Then the risk perceptions would become more stable after a period of time. Finally, an automatic classification model of risk values based on machine learning was proposed to avoid the impact of subjective experience.

A study of spatial and temporal variability of precipitation isotope composition on the southern and north slopes of Wushaoling Mountain was conducted in order to explore the processes influencing its evolution. The analysis indicated that the isotopic composition, the slopes and intercepts of Local Meteroic Water Lines, altitude gradients and temperature effect are higher on the north slope than those on the south slope. The d-excess showed an increase from lower to higher altitudes, and the altitude gradients changed with season. The correlation coefficients between δ18O and d-excess decreased with increasing altitude due to weakening sub-cloud evaporation. Westerly wind principally dominates Wushaoling Mountain, so the relatively negative stable isotope values observed are related to the long distance transportation of water vapor in spring and winter. In summer and autumn, the locally strong sub-cloud evaporation cause relatively higher δ18O and lower d-excess. The results suggested that the sub-cloud evaporation has enriched the δ18O composition by 23%, 23%, 32%, 42% and 29% in May, June, July, August and September, respectively. In some circumstances, δ18O and δD were depleted at the end of multi-days rainfall events due to the rainout process. In addition, monsoonal moisture caused some negative δ18O in summer when an enhanced cyclonic circulation had developed on Tibetan Plateau. The study enhances the knowledge of isotopic evolution of precipitation and provides a basis for further study of isotopic hydrology in arid regions.

Toona ciliata var. pubescens (Toona in Meliaceae) (Tc) is listed as an endangered species, and there are natural regeneration obstacles due to its long-term excessive exploitation and utilization. Arbuscular mycorrhizal fungi (AMF) can produce beneficial effects for plant growth and natural regeneration. However, the characteristics of the AMF community in natural Tc forests are poorly understood. The Illumina PE250 high-throughput sequencing method was used to study the characteristics of the AMF community in the rhizosphere soil and roots associated with three dominant tree species (Tc; Padus buergeriana, Pb; and Maesa japonica, Mj) in a natural Tc forest in Guanshan National Natural Reserve, South Central China. The results found that Glomeraceae was the most abundant AMF family in the rhizosphere soil and roots. Moreover, the relative abundance of Archaeosporaceae in rhizosphere soil was significantly larger than that in the roots; in contrast, the relative abundance of Glomeraceae in rhizosphere soil was significantly lower than that in the roots (p < 0.05). Regarding different tree species, the relative abundances of Acaulosporaceae and Geosiphonaceae were larger in Mj and Tc than in Pb. AMF operational taxonomic units (OTUs) were 1.30-, 1.43-, and 1.71-fold higher in the Tc, Pb, and Mj rhizosphere soil, respectively, than in the corresponding roots. Nevertheless, higher AMF community richness was found in the roots compared to that in the rhizosphere soil based on the Chao index. This finding indicated that AMF of a relatively high aggregation degree were in roots, and more AMF groups with relatively low abundance occurred in the rhizosphere soil, which correspondingly lowered the calculated richness index of the AMF community. A redundancy analysis showed that different soil chemical properties impacted variations in the AMF community characteristics differently. This study has great significance for the interpretation of AMF diversity survey and the application design of AMF in vegetation restoration.

Moisture recycling by terrestrial evaporation and transpiration has recently been confirmed as an important source of precipitation, but little is known of this contribution in inland river basins of China. This study determines the fractions contributed by terrestrial evaporation and transpiration to precipitation in the Shiyang river basin, located in Gansu province of northwestern China. The basin has an area of 4.16 × 104 km2 and mean annual precipitation of 300 mm/yr. Hundreds of samples of precipitation, surface water, plant stem water and soil water were collected and analyzed for their isotopic compositions. The Craig-Gordon model and a three-end-member mixing model were used to partition precipitation into water sourced from evaporation, transpiration and advection. On average, evaporation, transpiration and advection were responsible for 9%, 14% and 77%, respectively, of precipitation, and the contribution from terrestrial evaporation and transpiration also increased with elavation; they also varied with season, being highest in August. The significant contribution from transpiration highlights the importance of vegetation conservation in this ecologically fragile basin.

Based on the structural safety inspection of a railway station, first the current status and damage of the housing structure are introduced. It is analysed in this paper the safe capability of the railway station via precise on-site testing work. It is further discussed the influence of different modeling methods on the calculative results of the compressive bearing capacity of buttress column used in this masory structure. There is no software could accurately simulate the compressive bearing capacity of buttress column, for it is difficult to meet the actual needs of the project. This paper could be valuable future reference for the safety inspection and strengthening scheme of similar projects.

In order to firstly explore the stable isotope evolution of Shiyi glacier system in the central Qilian Mountains, a total of 167 samples have been collected from newly deposited snow, surface snow, snowpits, meltwater and glacier-fed river water from July 2012 to November 2013. The results indicated that only the newly deposited snow in 23 November 2013 showed a significant ‘altitude effect’, whereas surface snow had a reverse ‘altitude effect’ owing to evaporation and sublimation in summer 2012 and 2013. The d

In order to explore the glaciochemistry of Shiyi glacier in the central Qilian Mountains, a total of 142 samples have been collected for fresh snow, surface snow, snowpit and meltwater from July 2012 to November 2013. The results indicated cations dominated the glaciochemistry, especially the high Ca2+ concentration. Relatively high Cl- and Na+ concentrations were mainly contributed by desert dust aerosols and the atmospheric aerosols from warm water bodies such as the Black, Caspian, and Aral seas. The analysis also confirmed the chemical ions in fresh snow are mainly contributed by atmospheric wet deposition. Surface snow is mainly influenced by dry deposition, and snowpits are influenced by both atmospheric deposition and leaching process, while meltwater is influenced by water-rock interactions. The profile of ionic concentration in the snowpit became more smoothed during ablation period owing to the influence of leaching. The elution sequence of the snowpit in the Shiyi Glacier was: SO42- > K+ > Ca2+ > Mg2+ > Na+ > Cl- > NO3-. The chemical concentrations for meltwater are mainly influenced by water dilution and soil thawing. The ions in snow in the central Qilian Mountains showed relatively lower concentrations than in the western Qilian Mountains, Tianshan Mountains and Altai Mountains. It was closer to balance than in glaciers in the central Tibetan Plateau, but was higher than in the southern Tibetan Plateau. Different ionic sources and dissolution process had caused the differences of chemical composition for fresh snow, surface snow, snowpit and meltwater, and these chemical compositions reflected the atmospheric background values in the northern Tibetan Plateau. (C) 2014 Elsevier Ltd and INQUA. All rights reserved.

A total of 90 individual precipitation samples have been collected in the central Qilian Mountains from August 2012 to November 2013. All samples were analyzed for major cations (Na+, K+, Ca2+ and Mg2+), anions (Cl−, NO3 − and SO4 2−) and conductivity. Precipitation EC ranged from 2.26 to 482 μc/cm with an average value of 41.9 μs/cm. Precipitation was of SO4 2−-Mg2+-Ca2+ type, and these three ions contributed >70 % to the total ionic concentration. Precipitation events occurred around summer displayed lower concentrations, whiles it had higher concentrations in winter and spring with little precipitation and larger wind speed. The major sources for these ions are regional crustal aerosols and species from central Asia and northwestern China arid regions brought by the westerly, and some aerosols from human pollution are secondary sources. It is also interesting that precipitation chemistry is different under diversely atmospheric circulation in Hulugou basin: the monsoon precipitation, the interaction precipitation influenced both by monsoon and westerly, and the westerly precipitation events.

Global warming would inevitably lead to the increased glacier-snow meltwater and mountainous discharge. Taking an example the Hulugou River Basin in the Qilian Mountains, this study confirmed the contribution of cryosphere to runoff by means of the isotope hydrograph separation. The hydro-geochemistry and the isotope geochemistry suggested that both the meltwater and rainwater infiltrated into the subsurface and fed into the river runoff of the Hulugou River Basin in the form of springs. The isotopic composition of river water and underground water was close to the Local Meteoric Water Line, and the delta O-18 and delta D ranged among precipitation, glacier-snow meltwater and frozen soil meltwater. The results indicated that 68% of the recharge of the Hulugou River water was the precipitation, thereinto, glacier-snow meltwater and frozen soil meltwater contributing 11% and 21%, respectively. For tributary-1, precipitation accounted for 77% of the total stream runoff, with frozen soil meltwater accounting for 17%, and glacier-snow meltwater only supplied 6%. During the sampling period, the contribution of surface runoff from precipitation was 44% to tributary-2, and glacier-snow meltwater had contributed 42%; only 14% from frozen soil meltwater. For tributary-3, precipitation accounted for 63% of the total runoff, and other 37% originated from the frozen soil meltwater. According to the latest observational data, the glacier-snow meltwater has accounted for 11.36% of the total runoff in the stream outlet, in which the calculation has been verified by hydrograph separation. It is obvious that the contribution of ayosphere has accounted for 1/3 of the outlet runoff in the Hulugou River Basin, which has been an important part of river sources. This study demonstrated that the alpine regions of western China, especially those basins with glaciers, snow and frozen soil, have played a crucial role in regional water resource provision under global warming. (C) 2014 Elsevier B.V. All rights reserved.

Isotope geochemistry of precipitation, river water, well water and spring water in the Babao River basin, China, during different seasons showed that regional runoff was dominated by precipitation in summer and autumn and by underground water in winter and spring. The δ18O and δD values of precipitation and spring water displayed a clear altitude effect. Water from the main stream and tributaries displayed a converse altitude effect in the summer-wet season. The isotopic composition of the various water sources was not well correlated with elevation during the winter-dry season. The spatial distribution of the stable isotope signals of river water demonstrated the influence of rainfall inputs, evaporation and variable flow. An end-member mixing model used for hydrograph separation indicated that in the summer-wet season, the Babao River water was recharged by precipitation (71.9 %), spring water (11.7 %) and well water (16.4 %), whereas the winter-dry season recharge was sourced from spring water (28.2 %) and well water (71.8 %).

As we are moving to the cloud, one challenge is the pressure to provide an accurate picture of ongoing resource costs and associated application performance. While cloud offerings give great flexibility to elastic applications, tenants lack guidance for choosing between multiple offerings. The lack of knowledge could lead to tenants over-provisioning and paying for resource that they do not actually need, or under-provisioning with suffering performance issues. In this work, we propose an extensible framework for predictive analytics on cost and performance in the cloud. Resource consumption data is collected and placed at readiness for enabling immediate analysis such as billing with the models of pay-as-you-go and lease. The time series data stored in a tiering object store supporting fast retrieve, as well as the heterogeneous types of data on application events and performance, are utilized to facilitate pattern analysis. These data aggregation, meanwhile, is put into considerations concerning correlation between cost and performance and their changing trends over time. Thus, by leveraging what-if analysis and real-time prediction, the framework gives a quite precise view of current status on cost and performance, as well as future perspectives, so as to support decision making on resource configuration with satisfaction of application's Service Level Agreement (SLA) requirements.

The innovation-driven development strategy was put forward in the 18th National Congress of the Communist Party of China. To enhance the innovation capacity is the most fundamental thing, to improve the civic scientific literacy level is the most basic thing for the innovation-driven development strategy. Therefore, to strengthen the construction of civic scientific literacy has become one of the hottest agendas for the government and people from all walks of life. Given this situation, how to monitor and evaluate civic science literacy construction work fairly and reasonably becomes important. In order to solve this problem, based on China's science popularization statistics, the paper mainly uses the quantitative research method to establish civic scientific literacy construction monitoring index system from the aspects of the personnel, the venues and facilities, the funds, the media and the activities for science popularization, etc.

Ginsenosides are the major pharmacological components in ginseng. Microorganisms from a ginseng field were isolated to identify transformation of ginsenosides. Based on HPLC and LC-MS analysis, strain LFJ1403 showed strong activities to transform ginsenoside Rb1 to Rd as the sole product. Phylogenetic analysis of 18S rDNA indicated that LFJ1403 belonged to Aspergillus versicolor. Through comparing four systems of transforming Rb1 to Rd, strain LFJ1403 was found to secrete ginsenoside-converting enzymes in the spore production phase of plate culture. This result suggested that the enzyme could be directly obtained from the plate. The spore suspension, which contained the exocrine enzyme, was easy to prepare and efficient for biotransformation of ginsenoside Rb1 to Rd. Further study showed that the maximum bioconversion rate was 96% (w/w) in shake flasks when a spore suspension system was used with optimized biotransformation conditions. Scale-up of this system to 2L resulted in an 85% conversion rate. The ginsenoside Rb1 converting enzyme was separated by gradient HPLC with Q-Sepharose column, and its β-glucosidase activity and Rb1-converting ability was assayed by the 4-Nitrophenyl-β-D-glucopyranoside (PNPG) method and HPLC with C18 column, respectively. We obtained 130 U ml(-1) enzymatic activity with the purified β-glucosidase. This is the first report on efficiently converting ginsenoside using extracellular enzyme directly from the fungus spore production phase of solid culture.

Utilizing big data processing platform to analyze and extract insights from unstructured video streams becomes emerging trend in video surveillance area. As the first step, how to efficiently ingest video sources into big data platform is most demanding but challenging problem. However, existing data loading or ingesting tools either lack of video ingestion capability or cannot handle such huge volume of video data. In this paper, we present SVIS, a highly scalable and extendable video data ingestion system which can fast ingest different kinds of video source into centralized big data stores. SVIS embeds rich video content processing functionalities, e.g. video transcoding and object detection. As a result, the ingested data will have desired formats (i.e. structured data, well-encoded video sequence files) and hence can be analyzed directly. With a highly scalable architecture and an intelligent schedule engine, SVIS can be dynamically scaled out to handle large scale online camera streams and intensive ingestion jobs. SVIS is also highly extendable. It defines various interfaces to enable embedding user-defined modules to support new types of video source and data sink. Experimental results show that SVIS system has high efficiency and good scalability.

This book includes part of the research results about the Smarandacheproblems written by Chinese scholars at present, and itsmain purpose is to introduce various results about the Smarandacheproblems, such as Smarandache function and its asymptotic properties,series convergence, solutions about special equations. At the same time, there are put forward to some new interesting problems eitherin order to research further.

To study the relationship between constitutive nitric oxide synthase (cNOS) and pregnancy induced hypertension (PIH), cNOS expression and localization in placental villi of PIH patients (n=15) and normal pregnancy patients (n=15) were immunohistochemically studied. The positive immunostaining of cNOS was located in trophocytes and cytoplasm of vascular endothelial cells. The positive rate in PIH patients was much higher than that in cases of normal pregnancy. The positive rates were 34. 40 % in mild, 44. 74 % in middle and 50. 14% in severe PIH patients respectively. There was a significant difference in positive rate among the mild, middle and severe PIH patients (P