Search

Soil pollution is becoming increasingly serious due to resource exploitation in mining areas, which directly affects the stability of the surrounding soil and water environment, and the accurate prediction of heavy metal pollution source analysis has an important guiding role in scientific mine remediation and treatment. On the basis of the previous study, in order to improve the interpretation of the soil media model, positive matrix factorization (PMF) and absolute factor analysis-multiple linear regression (APCS-MLR) models, which have a high degree of maturity and accuracy in the evaluation of heavy metal source analysis in soils, were further selected to enrich the UNMIX model in the previous study. The results of the multiple receptor models analyzing the sources of heavy metal contamination and the contribution of the sources were combined with the ecological risk assessment method to determine the most suitable model in study area under quantitative conditions. The results showed that: 1) the ecological high-risk areas were mainly concentrated in the south and east part of the study area, and Cd was the main risk element of the mine; the mean value of igeoaccumulation index was 3.75, which was highly consistant with the mean value of 731.22 for the potential ecological risk index though latter provided a more comprehensive evaluation of ecological hazards. 2) Comparing the results of the three models, the PMF model resolved four pollution sources: coal combustion source, natural-traffic integrated source, natural source and atmospheric deposition source, and the source contribution rates are 38.15%, 20.62%, 24.28% and 16.95%, respectively. 3) The fitted variables R2 in the PMF model reached to 0.96, which showed the best fitting effect. The PMF model refines source apportionment by accounting for sampling point errors and accurately ascertaining pollution sources and their contributions, making it highly suitable for complex mine-contaminated soils in realistic research settings. The findings of this study can provide a reference for tracing the origins of contaminants, which is essential for the remediation efforts of polluted soils following mining activities in the area. [ABSTRACT FROM AUTHOR]

The environmental restoration and ecological treatment of abandoned mining areas are of great significance for the construction of ecological civilization. In view of the heavy metal pollution in soil caused by mining, it is particularly important to carry out the investigation of heavy metal pollution characteristics and health risk assessment for the design and construction of mining treatment schemes. The pollution characteristics of soil heavy metals(As, Cd, Cu, Mn and Ni)of Dafanshan abandoned alum mining area in Lujiang county of Anhui province were analyzed, and the pollution assessment and human health risk assessment were established by combining the site accumulation index method, potential ecological risk index method and health risk assessment model(USEPA).The results show that the contents of As and Cd in the soil of the abandoned alum mining area significantly exceed the standard, and compared with the risk screening value of agricultural land, the exceeding rates are 77% and 100%, respectively; Cu in soil is slightly polluted, and the exceeding rate is 16%; the contents of Mn and Ni do not exceed the standard; in addition, the above five heavy metal elements in the descending order of the coefficients of variation are Ni, Mn, Cu, Cd and As; the study area has strong potential ecological risk, and the potential ecological risk index shows that As and Cd are the main risk elements, and the soil is mainly in quite-strong and very-strong potential ecological risks. The health risk assessment model shows that the indirect oral intake of excessive heavy metals in soil is the main route of non-carcinogenic and carcinogenic risks; As and Cd are within the acceptable ranges of non-carcinogenic and carcinogenic risks for adults and children through oral ingestion, and there is no carcinogenic risk for adults and children through respiratory ingestion and skin contact. [ABSTRACT FROM AUTHOR]

Bacillus subtilis has great effects on soil water and salt movement. In this paper, 5 different contents of Bacillus subtilis (0, 1, 3, 5 and 7 g/kg) were set, aiming to study the soil water cumulative infiltration, infiltration rate, wetting front, soil water contents and salt contents in each profile, as well as water-stable aggregate contents. The results showed that with the applying of Bacillus subtilis, the cumulative infiltration and infiltration rate in saline-alkali soil decreased obviously, compared to that in the control of soil columns, due to the water retention properties of Bacillus subtilis, especially after the initial 300 min. Moreover, with the increase of Bacillus subtilis content, the cumulative infiltration and infiltration rate first decreased and then increased. When the Bacillus subtilis content was 3 g/kg, the cumulative infiltration and infiltration rate of soil water tended to be the smallest in a certain time, and the variations between the treatments were significant (P<0.01). At the end of the infiltration, the cumulative infiltration with the Bacillus subtilis content of 1, 3, 5 and 7 g/kg was decreased by 18.49%, 21.85%, 12.18% and 3.78% respectively compared with that without Bacillus subtilis. With the applying of Bacillus subtilis, the wetting front decreased as well. At the initial time, there were no significant differences between different treatments. With the infiltration time increasing, the effect of Bacillus subtilis on wetting front in each treatment was significant (P<0.01). The wetting front took 3 700, 7 260, 7 700, 5 100 and 4 320 min to reached the bottom of the soil column with Bacillus subtilis content of 0, 1, 3, 5 and 7 g/kg, respectively, and the migration rates were 7.84×10-3, 4.00×10-3, 3.77×10-3, 5.69×10-3, and 6.71×10-3 cm/min, accordingly. When the content was 3 g/kg, the migration rate of wetting front was the smallest. Both Philip and Green-Ampt model could fit soil infiltration process well with different Bacillus subtilis contents. For Green-Ampt infiltration model, with the increase of Bacillus subtilis contents, soil water saturated hydraulic conductivity first decreased and then increased, and the wetting front suction showed an opposite trend compared with control treatment (P<0.05). For the Philip infiltration model, with the increase of Bacillus subtilis contents, the soil sorptivity and stable infiltration rate first decreased and then increased, which were obviously less than that without Bacillus subtilis (P<0.05). When the Bacillus subtilis was 3 g/kg, the minimum values of soil sorptivity, soil water saturated hydraulic conductivity and stable infiltration rate were obtained, and the maximum value of wetting front suction was obtained, which further confirmed that Bacillus subtilis could increase soil water holding capacity. When the Bacillus subtilis contents were 1, 3, 5 and 7 g/kg, the water contents were greater than that in control. At the depth of 27 cm, the water content in the treatments with Bacillus subtilis of 1, 3, 5 and 7 g/kg increased by 17.65%, 31.76%, 11.76% and 7.06% respectively, compared with that in control. Soil salt contents were also significantly decreased with the application of Bacillus subtilis. The salt content in the treatments with Bacillus subtilis of 1, 3, 5 and 7 g/kg decreased by 22.37%, 31.29%, 17.78% and 10.67% respectively, compared to that in control. After applying Bacillus subtilis, soil water-stable aggregate also increased. In the whole soil layer, the water-stable aggregates in the treatment with Bacillus subtilis of 1, 3, 5 and 7 g/kg were greater than those in control, and increased by 13.02%, 17.59%, 9.68% and 5.24%, respectively. This study can provide a theoretical support for the microorganism application in saline-alkali soil amendment. [ABSTRACT FROM AUTHOR]

The basic mathematical library is one of the fundamental software libraries in a computer system, and its performance is one of the key factors affecting the efficiency of higher-level applications. The existing RISC-V basic mathematical library can achieve correct calculations, but it contains a large number of memory access instructions and redundant instructions in its source code, which leads to suboptimal function performance. Additionally, the assembly code for RISC-V mathematical functions is large and involves complex branch conditions, which increases the difficulty of direct optimization. To address these issues, this paper follows a local-to-global optimization approach from and proposes a method for automatically detecting critical paths in RISC-V mathematical functions. This method focuses on solving the problem of other branch registers being easily modified when optimizing critical branches. By using a queue-based register allocation strategy, the registers within the same path are reallocated, which improves register utilization and minimizes the number of memory access instructions. Furthermore, redundant instructions are also combined and functionally refactored. Experimental results show that the average execution cycles for 67 RISC-V mathematical functions have been optimized from 144 cycles to 85 cycles, resulting in an average performance improvement of 29.61%.Abstract:The basic mathematical library is one of the fundamental software libraries in a computer system, and its performance is one of the key factors affecting the efficiency of higher-level applications. The existing RISC-V basic mathematical library can achieve correct calculations, but it contains a large number of memory access instructions and redundant instructions in its source code, which leads to suboptimal function performance. Additionally, the assembly code for RISC-V mathematical functions is large and involves complex branch conditions, which increases the difficulty of direct optimization. To address these issues, this paper follows a local-to-global optimization approach from and proposes a method for automatically detecting critical paths in RISC-V mathematical functions. This method focuses on solving the problem of other branch registers being easily modified when optimizing critical branches. By using a queue-based register allocation strategy, the registers within the same path are reallocated, which improves register utilization and minimizes the number of memory access instructions. Furthermore, redundant instructions are also combined and functionally refactored. Experimental results show that the average execution cycles for 67 RISC-V mathematical functions have been optimized from 144 cycles to 85 cycles, resulting in an average performance improvement of 29.61%. [ABSTRACT FROM AUTHOR]

A gas chromatography-tandem mass spectrometry based method has been developed for multi-determination of 18 polychlorinated biphenyls (including 7 indicator PCBs, and 12 coplanar PCBs) in the meat, head, shell and egg of Macrobrachium nipponense. 20 g homogenized samples are extracted by the mixture solution of V (dichloromethane) : V (hexane) = (1 : 1). Then concentrated sulfuric acid is used for the digestion of organic matter. Thereafter, the extracts are cleaned up through SPE florisil column and make it ready for analysis. GC-MS/MS technique was used for the analysis. In terms of the GC part, column HP-5 (30 m × 0.32 mm, 0.32 μm) is used for the separation of 18 PCBs through temperature programming. For the tandem mass spectrometry condition, multiple reaction monitoring (MRM) model with positive electron impact ion source (EI+) is chosen for the qualification and quantification. The results reveal that in the spiked levels of 50, 400 and 1 000 ng/kg, the average recoveries ranged from 72% to 109% for all the 18 PCBs in each part of M. nipponense. The relative standard deviations is below 10%, the limits of detection of this method is 0.10-10 ng/kg. This method has good precision and accuracy. The pretreatment method is simple and fast. Thus this method can be used in the determination of the above mentioned 18 PCBs in M. nipponense. Testing of the actual samples from a farm in Nanjing, only some PCBs is checked out. [ABSTRACT FROM AUTHOR]

High weathered soils in arid and semi-arid area are characterized by low soil fertility and high erosion potential. This paper evaluated the influences of nano-carbon on soil erosion and water loss on the sloping land (15°) of the Chinese Loess Plateau. Simulated rainfall experiments were performed on a natural, fallow loessial slope in the Shenmu Erosion and Environment Research Station, Institute of Soil and Water Conservation, Chinese Academy of Sciences, which locates in the Liudaogou watershed, Shenmu County, Shaanxi Province. Five application rates (i.e., 0, 0.1%, 0.5%, 0.7%, and 1.0%) of nano-carbon were selected during the simulated rainfall experiments (rainfall intensity of 60 mm/h); and 4 vegetation species (i.e., caragana, alfafa, bean, and maize) were planted on the slope to evaluate the vegetation effect on soil and water conservation with the bare as the control. A constant-intensity rainfall method was adopted under natural conditions. Field plots were established on the slope that had been fallow for 5 years. The rainfall simulator came from the independent design of Xi'an University of Technology. Under the 60 mm/h rainfall intensity, the simulated rainfall experiments were carried out for 50 times in the 25 different pretreated plots in order to estimate soil erosion and water loss for all the treatments. The main results were as follows: the initial runoff time was delayed with the increase of nano-carbon contents. Compared to the control treatment without nano-carbon application in bare land, the initial runoff time in alfalfa plot was delayed by 287.1%, which was the most obvious. Furthermore, with the increase of nano-carbon contents, the runoff in each treatment decreased obviously. The nano-carbon alfalfa coverage also had the most obvious effect in the reducing runoff, and the runoff was reduced by 66.47%; for other vegetation species, the reduction was between 31.5% and 33.6%. Moreover, the nano-carbon had a significant effect on soil loss controlling. The nano-carbon in alfalfa land showed the best effect for soil loss controlling, which was followed by caragana. Soybean land showed the highest soil loss. For the bare land (control) and alfalfa coverage, when the nano-carbon content was 1%, the lowest sediment yield was obtained; while for caragana, soybean and maize coverage, when the nano-carbon content was 0.5%, the sediment yield was the lowest. Based on the correlation analysis between nano-carbon and runoff and sediment yield, it could be concluded that nano-carbon has a significant impact on the experimental results. In the evaluation of soil and water loss control effect, the 0.5% nano-carbon had the obvious effect, which was similar with the 0.7% and 1.0% nano-carbon content, so considering the price, 0.5% nano-carbon content was appropriate on soil and water loss control in loess area. The results provide a guide for controlling soil water and nutrient loss on the sloping land. [ABSTRACT FROM AUTHOR]

Fate of carbendazim residue during the beer brewing process was determined by the high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The simultaneous determination of carbendazim in different samples (barley, malt, spent grain, agreement wort, finalize wort and beer) were developed. For barley, malt and spent grain samples, the QuEChERS method was used for the pretreatment. 6 g MgSO4 and 1.5 g NaAc were used for the extraction, and 150 mg of MgSO4, 50 mg C18 and 50 mg PSA were used for the purification. Agreement wort, finalize wort and beer samples were directly diluted with deionized water and then purified with C18 solid phase extraction column. The main results are presented as followed: The mean recoveries varied from 72% to 99% and the relative standard deviations (RSD) was less than 9%. The limit of quantitation was 0.01 mg/kg. The residues of carbendazim is 1.99 mg/kg in barley, 2.71 mg/kg in malt, 0.41 mg/kg in spent grain, 1.37 mg/kg in agreement wort, 1.34 mg/kg in finalize wort and 0.12 mg/kg in beer. During saccharification, boiling and fermentation processes, the residue of carbendazim has been reduced with the processing factor 0.51, 0.98 and 0.089, respectively. The removal efficiency of fermentation was the highest. [ABSTRACT FROM AUTHOR]

Objective To understand the epidemiologic situation and high-risk pathogenic factors of cervical cancer and to investigate the current preventive measures of cervical cancer in Changzhou in order to provide a scientific basis for its prevention and treatment. Methods Two hundreds and thirty-eight patients "case group) with pathologically confirmed cervical cancer in our hospital from January 2014 to December 2015 and 714 age-matched and area-matched healthy females "control group) were selected and conducted the related factors questionnaire survey. The related factors included general condition， diet and life style，menstrual，marital and bearing history，hormone use，past disease history，family history，women disease general survey knowledge and HPV infection situation and so on. Results Adopting the contraceptive measures and conducting cervical screening at regular interval had the protective effect on cervical cancer occurrence % while cervical HPV infection， cervical cancer family history，many sexual partners and smoking were the high-risk factors of cervical cancer (P<0.05). The clinical symptoms"including irregular bleeding，vaginal discharge，contact bleeding) in the case group were more significant than those in the control group，the difference was statistically significant (P<0.05). Conclusion Advocating to use condom，quit smoking， regular cervical screening， strengthening monitoring on the high-risk populations such as cervical cancer family history and many sexual partners will conduce to reduce the incidence rate of cervical cancer. [ABSTRACT FROM AUTHOR]

Aerobic composting is one of the most typical biological processes to decompose organic wastes into organic fertilizers or soil amendments. However, the existing composting has commonly suffered from severe nitrogen loss and long composting periods. Therefore, the additives are required to reduce the composting period and nitrogen loss. Taking the mixture of cow dung and straw as the research material, this study aims to explore the nitrogen loss during rapid composting. The experiment utilized magnetized water (T1), magnetized water combined with biochar (T2), magnetized water combined with ferrous sulfate (T3), and magnetized water combined with Bacillus megaterium (T4), with a control group designated as CK, for a 25-day aerobic composting. The results showed that the high-temperature periods for CK, T1, T2, T3, and T4 were 3- 5, 2-8, 1-8, 4-8, and 2-8 d, respectively. All T1, T2, T3, and T4 were extended the high-temperature period of composting, compared with the CK. The temperature in the T1 treatment coincided with the ambient temperature from day 14 to day 25 of composting, without the secondary fermentation, thereby shortening the composting period. T1, T2, and T4 increased the highest temperature during composting. The most significant effect of T3 was achieved at the maximum temperature of 64.5℃. The total nitrogen content of each treatment group at the end of composting increased by 14.04%, 18.89%, 37.56%, 36.27%, and 28.47%, respectively, compared with the initial total nitrogen content of composting. The total nitrogen content increased the most in the T3 treatment, compared with the CK. The total ammonia emissions in each treatment group were 8.12, 4.37, 6.60, 7.32, and 3.95 g/d, respectively, during composting. The T4 treatment emitted the least ammonia, while the CK was the most. The T3 treatment reduced the pH of the compost during the whole process, whereas the low pH reduced the NH3 emissions. The T4 treatment promoted the nitrate nitrogen content and GI value, with the GI value reaching 110.03% at the end of composting. As such, nitrogen functional genes were then determined to explore the effects of different microbial communities on nitrogen and nitrogen transformation during microbiological composting. The T2 treatment promoted the absolute abundance of the nitrogen cycling gene gdhA, and then suppressed the relative abundance of Actinobacteria, for the high nitrogen cycling. The T3 treatment promoted the absolute abundance of the nitrogen-fixing gene nifH and the nitrogencycling gene gdhA, indicating the relative abundance of Proteobacteria. Additionally, structural equations showed that T2 treatment shared a significant negative effect on ammonia emissions, while ammonia emissions had a significant positive effect on total nitrogen loss. T3 treatment had a significant negative effect on pH, and then pH had a significant positive effect on ammonia emissions, whereas, the ammonia emissions had a significant negative effect on total nitrogen loss. Therefore, the biochar was used to adsorb ammonia for less ammonia emissions, thereby reducing the nitrogen loss. Ferrous sulfate was used to lower the pH of the compost, thus reducing ammonia emissions and nitrogen loss. Magnetized water combined with biochar showed the best nitrogen retention and ideal degree of maturation in the rapid composting, in terms of composting temperature, total nitrogen content, absolute abundance of nitrogen functional genes, relative abundance of microorganisms, and structural equation [ABSTRACT FROM AUTHOR]

Rapidly inverting soil salinity is crucial to the soil water and salt migration for the prevention of the secondary salinization. However, the accuracy and efficiency of soil salinity inversion models are hindered to the coupling relationship between water and salt in soil, particularly for time-consuming and labor-intensive soil collection. This study aims to reduce the interference of soil moisture for obtaining better sample diversity and further improving the robustness of soil salinitu inversion models by using spectral technology. A total of 113 normal and 115 saline soil samples were collected in the Xinjiang cotton fields. These samples were further subjected to different levels of wetting treatment. and subsequently 467 soil samples with varing salt and moisture contents were obtained. Soil salt content was calibrated using the conductivity of soil leaching solution. Spectral data of samples was captured using an ASD ground object spectrometer (400-1000 nm) and a near-infrared spectrometer (960-1693 nm). The soil moisture was also corrected using the external parameter orthogonalization (EPO). Additionally, deep convolutional generative adversarial networks (DCGAN) with different transposed convolution stride strategies were designed to evaluate the sample set using Fréchet Inception Distance (FID) scores. Machine learning models were employed to invert the soil salinity, including partial least squares regression (PLSR), random forest (RF), and onedimensional convolutional neural network (1D-CNN) models using VGG (VNet), EfficientNet (ENet), and ResNet (RNet) architectures. The results demonstrated that the EPO can effectively reduce the interference of moisture on the salinity, indicating the better prediction performance of different models. RNet out performed PLSR, RF, VNet, Enet, RNet, and exhibited the best performance to predict the soil salinity in cotton fields. The lightweight residual neural network without attention mechanism was more suitable for one-dimensional hyperspectral data. There was an increase in the convolution stride and kernel length of the deep convolutional adversarial generative network. The better samples were obtained for the hyperspectral data with long sequences. The superior FID scores were achieved in the generated augmented sample set using Generator B (designed with the larger convolution stride and kernel size), compared with the rest. Specifically, the FID scores were reduced by 7.9% and 13.4%, respectively, compared with GA and GC. The weight distribution of attention was optimized after expanding the training set by DCGAN. The stability and accuracy of the model were further enhanced to predict the soil salinity under certain constraints on training samples. The EPO-DCGAN(GB)-RNet (called EPO-DCGAN-RNet) model was achieved in the superior RMSE and R² values of 136.472 μS/cm and 0.910, respectively, on the validation set, compared with the EPO-SG-RNet (using SG filtering denoising) and EPO-RNet (without sample augmentation). Furthermore, 1D-CNN with Grad CAM was employed to identify the characteristic bands of soil conductivity in the soil leaching solution of cotton field. In summary, an accurate inversion model EPO-DCGAN-RNet was constructed for inversing soil salinity in the cotton fields using spectral technology. Water correction and sample augmentation were incorporated for the soil salt composition. The improved model has the promising potential to the salt-tolerant cotton varieties and irrigation strategies using slightly salty water in cotton fields [ABSTRACT FROM AUTHOR]

In recent years, the technology of Siniperca chuatsi culture with artificial formulated feed has made some breakthroughs, which has become the focus of attention in the characteristic freshwater fish industry. Chizhou, Anqing, Wuhu, Hefei and other places in Anhui Province are exploring or trying to introduce this new technology in order to break through the drawbacks of traditional Siniperca chuatsi culture with live bait fish. Taking Chizhou as an example, this paper analyzed the economic benefits of Siniperca chuatsi culture with artificial formulated feed, pointed out the problems, and put forward the development suggestions, in order to provide reference for the high-quality development of Siniperca chuatsi culture industry in Anhui Province. [ABSTRACT FROM AUTHOR]

In the study, presence, distribution of 18 polychlorinated biphenyls (PCBs), including 7 indicator PCBs, 12 dioxin-like PCBs (DL-PCBs), and 4 heavy metals (Pb, As, Cd, Hg) have been investigated in Ictalurus punctatus, sediment and water from Jiangsu fish farms; thereafter, risk assessment have been conducted for the ecological risk and human health. The results showed that PCB28, PCB52, PCB114 were the most frequently found pollutants in all collected fish, sediment and water samples. Upon to the different geographical location of fishery farms across Jiangsu Province, components of PCBs presented differently, which implied different pollution sources. The concentration of PCBs found in sediment (178.4-457.2 pg/g) was higher than that detected in water (0.2-11.9 ng/L). Higher concentrations of PCBs was also found in fish meat (1.28-267.96 pg/g), compared to that in fish liver (0.64-95.46 pg/g), and guts and stomach (1.20-45.94 pg/g). Higher content of fat in fish meat could be the possibility of higher enrichment of PCBs compared to the other tissues. Meanwhile, higher concentration of heavy metal was found in sediment than that in water. The total enrichment of heavy metal in fish was found to be Pb﹥As﹥Cd﹥Hg in descend order. Total amount of heavy metals enriched in different tissues were found to be liver ﹥gastrointestinal system﹥meat. All the DL-PCBs TEQ (1.9 pg/g) is less than the maximum residue limit (MRL) of EU (6.5 pg/g). THQ (US, EPA) and R model were employed for the risk assessment by comprising the estimated daily intake and the daily allowed intake. The results revealed that the carcinogenic risk of 18 kinds PCBs and 4 kinds heavy metals remained acceptable level in this study. [ABSTRACT FROM AUTHOR]

[Objectives]This paper aimed to evaluate the validity of pesticides application strategy in rice, and analyse the risk of dietary exposure and ecological impact. [Methods] This study implemented long-term investigation on usage and residual details of pesticides using for pest control in single-season and double-season rice of Jiangsu and Jiangxi provinces. Investigation of pesticides residues in rice and soil had been conducted in the period of tillering, heading and harvesting stage, and the results had been compared between the pesticide reduction strategies adopted area and the regular integrated pest management (IPM) adopted area. Acute and chronic dietary exposed risk and ecological impact risks had been evaluated by using the dietary exposure risk assessment model and the ecology relative risk model (EcoRR). [Results] The results revealed that.4 of total 51 pesticides used in rice for pest control, had been found in the harvest brown rice. Pymetrozine and hexaconazole were the most frequently found pesticides in all rice samples with the frequency up to 93.00% and 28.75%, followed by 14.29% and 7.14% for chlorpyrifos and pentazolidol, respectively. However, the risk assessment of acute and chronic toxicity that may be caused by these 4 pesticides through dietary exposure, was finalized to be negligible for all populations divided by age. Adopting pesticide reduction strategies could further low the risk of dietary exposure. As for the soil sampled from the period of tillering, heading, and harvesting stages of rice, 13 different kinds of pesticides were found, tricy clazole, hexaconazole and propiconazole with 100% detection rates in particular. It could be explained by the long half-life periods of these pesticides and the remains of previous residue. The ecological risk assessment showed that the reduction use of pesticides could decrease the ecological risks significantly, even down to low level from medium level risk. It was found that the most effective effort of reducing the ecological impact was to decrease the use of pymetrozine, as this pesticide played a key role to the contribution of ecological risks in the period of tillering, heading, and harvesting ( 54.16% -83.68%, 19.07%-84.39%, and 0.00%-82.32% respec tively). Secondly, the use of pretilachlor at tillering stage, difenoconazole at the heading stage and propiconazole at the harvest stage was considered to be alternative key elements for the cause of ecological risk, with contributions of the risk ratios of 0.00%-71.50%. 0.00%-68.95% and 1.12%-62.24%,respectively. [Conclusions] Reducing the use of specific pesticides in the particular growth period of rice could reduce ecological impact and dietary exposure significantly. Pymetrozine plays a key role for ecological impact, followed by difenoconazole, propiconazole and pretilachlor, which should be used appropriately. [ABSTRACT FROM AUTHOR]

The weighted link prediction algorithm based on local traditional architecture only uses the topological attribute of the one-layer neighbor node. They are unable to reflect the contribution of common neighbors’ neighbor node on the potential node pair, and calculate the influence of the degree of interconnection of neighbors. This paper analyzed the contribution of the neighboring nodes on the potential pairs from the dense level of the local structure, and proposed a similarity index called( WCCLP) of the integrated weighted clustering coefficients, which could effectively enlarge the influence of the local structure on the prediction performance. Besides, WCCLP could easily be extended to the weighted local naive Bayesian link prediction model( WLNB). The experiments with unsupervised learning show that, compared with the existing local similarity algorithm, WCCLP achieves better and predictive results in many real data sets. The experimental effect of extending to WLNB also proves that weighted clustering coefficients can be effectively extended to other models. At the same time, under the classifier with supervised learning for link prediction, the feature construction with WCCLP are more discriminative than the features which derived from the existing local similarity algorithm. [ABSTRACT FROM AUTHOR]

Objective: To study the expression and effect of interleukin1 (IL-1) β and interleukin-1 receptor-associated kinase 4 (IRNK-4) in Uric Acid Nephropathy Rats, and investigate the significance of IL-1β Signaling Pathway in the development of uric acid nephropathy. Methods: 54 Wistar rats were randomly divided into hyperuricemia group and normal control group. Establishing the rats model group to examine the levels of uric acid (UA) , serum urea nitrogen (BUN), serum creatinin (CR) and 24 h urinary microalbumin (mA1b) in each group; Morphological changes were observed by HE staining; The expression levels of L-1β in renal tissue were detected by immunohistochemical method; The expression levels of IRAK-4 were detected by fluorescent quantitation PCR. Results: The Expression level of IL-1β was significantly higher in the hyperuricemia group after 2, 4, 6 weeks (P<0.01); IRAK-4 mRNA in renal tissue were increased in hyperuricemia group after 2,4,6 weeks, and significantly higher in 4-6 weeks (P<0.01). Conclusion: The expression of IL-1β and IRAK-4 may be associated with the progress of inflammation in uric acid nephropathy, which will provide a new option for treatment of this disease. [ABSTRACT FROM AUTHOR]

目的探讨常州地区人类乳头状瘤病毒（HPV）感染情况及感染类型的变化。方法回顾性分析2012年1月至2016年12月该地区HPV检测结果，以自愿接受HPV分子检测的63864例妇女作为研究对象，采用PCR-反向点杂交法对HPV进行基因分型检测。结果63864名妇女经HPVDNA检测高危型HPV感染率为19.75%（12616/63864），低危型HPV感染率为4.18%（2669/63864）。但2012—2016年HPV感染率比较，差异无统计学意义（P>0.05）。高危型HPV感染妇女主要的感染类型为HPV52、HPV16、HPV58，所占比例分别为16.69%（2106/12616）、13.80%（1741/12616）、11.19%（1412/12616）；低危型HPV感染主要的感染类型为HPV11、HPV6、HPV42，所占比例分别为4.76%（127/2669）、4.53%（121/2669）、4.31%（115/2669）。5年间，HPV52亚型感染率从11.3%上升至18.8%，跃居感染类型第1位；HPV16亚型感染率逐年下降（从22.4%下降至11.0%），目前位居第二。结论2012—2016年常州地区HPV感染率虽然未发生明显变化，但其感染类型发生了变化，值得关注。 [ABSTRACT FROM AUTHOR]