An Assessment of Heavy-Metal Contamination in Soils within Auto-Mechanic Workshops Using Enrichment and Contamination Factors with Geoaccumulation Indexes

Soil characterization and heavy metals in different layers (0 - 15 cm;15 - 30 cm and 30 - 45 cm depth) of automobile mechanic waste dumps were studied. The soils showed remarkably high levels of all the metals above background concentrations with most (Ni, Cu, Fe, Cr and Cd) decreasing with soil depth. The distribution pattern were in the following order Fe > Cu > Zn > Pb > Cr > Ni > Cd. Across all the sampling locations and profiles, Fe and Cd showed the highest (476.4 μg·g-1) and least (37.5 μg·g-1) mean concentrations respectively. Pollution load index (PLI) and index of geoaccumulation (Igeo) revealed overall high and moderate contamination respectively but the enrichment factors (EFs) for Pb Ni and Cd are severe. The inter-element relationship revealed the identical source of elements in the soils of the studied area. The accuracy of the results has been cheeked using the standard reference material;SRM (PACS-2). The mechanic waste dumps represent potential sources of heavy metal pollution to environment. The elevated levels of heavy metals in these soil profiles constitute a serious threat to both surface and groundwater.

The stability safety factor calibration based on the reliability index

When the bridge structure stability safety factor of the first type is 4, the research that whether the structure reliability index will reach target reliability index under the more-likely-to-happen collapse situation of the second type is necessary. The stability calculations of the first and the second type are made respectively for single layer and single span rigid frame bridge. Based on the critical load obtained from the stability calculation of the first type, the stability safety factor of the first type is taken as 4, and the first order reliability method is used to program and calculate the reliability index. Then, the load effect under the stability reliability index cal- culation of the first type and the critical load of the second type are employed to calculate the reliability index of the second type. The evaluation of structure stability safety factor is discussed according to reliability index. Based on the discussion above, parameter analysis of the stable critical loads of two types is made, and the in- fluence of critical load change on reliability index is researched. The result shows that stability analysis should identify collapse state; when the stability safety factor of the first type is 4, but the structure has the collapse of the second type, the reliability index cannot be ensured to reach the target reliability index under certain condi- tions.

Estimation of Global Solar Radiation Using Clearness Index and Cloud Transmittance Factor at Trans-Himalayan Region in Nepal

This paper presents the global solar radiation (GSR) and cloud transmittance factor (cf) measured at the horizontal surface over a period of one year from 2009 to 2010 using CMP6 Pyranometer and NILUUV Irradiance Meter at Lukla (Latitude 26.69oN,Longitude 86.73?E and Altitude 2850 m) in the foothills of the Mt Everest (8850 m high). Monthly and seasonal variations of global solar radiation as well as correlation between clearness index and cloud transmittance factor at Lukla are presented. The annual average daily global solar radiation is about 3.83 kWh/sq·m/day which is sufficient to promote solar active and passive energy technology at high mountain terrain where there is no other viable alternative sources of energy. The maximum and minimum global solar radiation of 5.33 and 2.08 kWh/sq·m/day is recorded in April and September 2010 respectively. The seasonal variation of solar energy is about 2.87 kWh/sq·m/day and 4.83 kWh/sq·m/day in summer and spring respectively which is not in line with the general trend. The coefficient of determination (R2) between cloud transmittance factor (cf) and clearness factor (K) is found to be 0.97. This novel result can be utilized to estimate the global solar radiation at the horizontal surface where K and cf are available.

Risk factors and ankle brachial indexes in cerebral infarction combined with peripheral arterial disease

BACKGROUND: Ankle brachial index (ABI) is widely involved in researches and clinical application of peripheral vascular injury of patients with diabetes mellitus (DM); however, the application in cerebral infarction (CI) is rare. OBJECTIVE: To investigate the possible risk factor of cerebral infarction plus peripheral arterial disease (PAD), compare metabolic characteristics of patients who having CI plus PAD or only having CI, and understand the significance of ABI on screening and diagnosing CI plus PAD of lower limb. DESIGN: Contrast observation based on CI patients. SETTING: Department of Neurology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region. PARTICIPANTS: A total of 124 CI patients were selected from Department of Neurology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region from July 2005 to April 2006, including 72 males and 52 females aged from 45 to 88 years. All patients met the diagnostic criteria of cerebrovascular disease established by National Academic Conference of Cerebrovascular Diseases in 1995 and determined as cerebral infarction with MRI or CT examination. All patients provided informed consent. There were 46 cases (37.2%) with CI plus PAD and 78 cases (62.8%) only with CI. METHODS: Blood pressure of bilateral ankles and upper extremities was measured at plain clinostatism with DINAMAP blood pressure monitor (GE Company). The ratio between average systolic pressure of lateral ankle and average systolic pressure of both upper extremities was regarded as ABI. The normal ABI was equal to or more than 0.9. If ABI < 0.9 occurred at one side, patients were diagnosed as PAD. On the second morning after hospitalization, blood was collected to measure fasting blood glucose (FBG), 2-hour postprandial blood glucose (PBG2h), glycosylated hemoglobin (HbA1c), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Among them, blood glucose, lipid and other biochemical markers were measured with enzyme chemistry assay and HbA1c was measured with HbA1c meter based on high liquid phase. Measurement data and enumeration data were compared with t test and Chi-square test, and multiple factors were dealt with Logistic regression analysis and multivariate linear regression analysis. MAIN OUTCOME MEASURES: Results of correlation between ABI and metabolic markers with multivariate linear regression analysis; risk factors of CI plus PAD with Logistic regression analysis; comparisons of metabolic markers between PAD and non-PAD patients. RESULTS: All 124 patients with acute CI were involved in the final analysis. ① Comparisons of metabolic markers: Levels of serum LDL-C and uric acid (UA) were higher of PAD patients than those of non-PAD patients (t =2.051 9, 3.339 1, P < 0.05); however, there were no significant differences among other metabolic markers (P > 0.05). ② Results of multivariate linear regression analysis: PBG2h, LDL-C and UA were obvious correlation with ABI of posterior tibial artery of lower limb and dorsal pedis artery (partial regression coefficient = -0.231 to -1.010, P < 0.05). ③ Risk factors of CI plus PAD with Logistic regression analysis: Age, smoking history, sum of CI focus (≥3) and LDL-C were independent risk factor of CI plus PAD (OR =1.524-5.422, P < 0.05-0.01). CONCLUSION: ① Levels of serum LDL-C and UA of patients with CI plus PAD are high. ② ABI of lower limbs is correlation with PBG2h, LDL-C and UA. In addition, measuring ABI is beneficial for early diagnosing PAD of lower limbs of patients who have poorly controlled blood glucose, abnormal lipid and poor renal function. ③ Age, LDL-C and sum of CI focus (≥3) are independent risk factors of CI plus PAD. It is of significance for screening non-PAD patients to evaluate risk degrees and prognosis and select therapeutic methods based on ABI measurement.

Assessing Total Factor Productivity for Soybean Production in China Based on DEA-Malmquist Index: 2005-2017

The low and slowly increasing soybean yield restricts the development of soybean production. Accurate measures of total factor productivity (TFP) for soybean production can be helpful in identifying conditions, institutions or policies that promote soybean production development in China. In this paper, TFP growth for soybean production was estimated for a panel data of 10 major soybean producing provinces from 2005 to 2017. Results reveal that TFP grew at an average rate of 1.3% over the whole period, with technical progress contributing 2.3% and efficiency change providing the other -1.0%. The change of TFP for soybean production over that time, whether increase or decline, was mainly derived by technical change except in three years (2005-2007). Positive TFP growth in the provinces of Liaoning and Inner Mongolia, and negative TFP growth in Hebei and Anhui were mainly driven by efficiency change, specifically scale efficiency change except pure technical efficiency in Liaoning.

基于SPSS的城市区域地下水变异Factor Analysis过程

对需要大量运算的统计问题,运用SPSS软件可以快速得到演算结果,从而彻底消除重复而单调的过程,研究人员可更多地专注于统计模型的建立。作者建立了城市建设引发城市区域的地下水缓慢变异的模型,调用SPSS的Factor Analysis过程,对城市区域地下水场变异起重要的组分进行提取,以起重要作用的K、Na、Ca、Mg、Fe、Mn组分最少组合来作为评价地下水变异的指标体系。对南宁市区地下水中特征点进行初步定量分析表明,城市区域地下水年变异水平是城市的建设与发展作用的结果,随时间增长变异水平呈增长之势。从历史背景下研究城市区域地下水缓慢变异程度及趋势,对城市地下水演化规律的认识有重要的指导意义。

磷指数法——PI(PIndex)的修正及应用

在农业非点源污染研究中,确定农业非点源污染的关键源区或危险区域是开展有针对性研究和控制农业非点源污染的首要问题之一.磷指数法作为一种评估磷的流失危险性大小的工具,得到了广泛的应用.本文主要介绍了磷指数法的建立及其修正,其中包括三个比较主要的修正,及一些针对本地区实际状况进行的修正.同时本文对该方法在我国的应用提出了建议.

普伐他汀对大鼠坐骨神经压碎损伤功能恢复的影响

背景:普伐他汀是临床上治疗高胆固醇血症的有效药物,目前发现其在中枢神经损伤的治疗上也能发挥有益作用,然而其机制仍未可知。目的:探究普伐他汀治疗能否加速坐骨神经压碎损伤的功能恢复及其潜在作用机制。方法:将雄性SD大鼠随机分为假手术组(坐骨神经暴露但不损伤+生理盐水灌胃)、阴性对照组(坐骨神经压碎损伤+生理盐水灌胃)、普伐他汀组(坐骨神经压碎损伤+普伐他汀灌胃)。普伐他汀组大鼠术后普伐他汀(5 mg/kg)灌胃治疗1周,其余两组大鼠给予等量生理盐水灌胃。术后观察各组大鼠一般情况;术后第2,4,6,8周末测量各组大鼠的坐骨功能指数;术后8周末测量腓肠肌湿质量比;ELISA法检测血清中炎症细胞因子的水平;组织形态计量学分析坐骨神经有髓神经纤维数目、纤维直径、轴突直径、髓鞘厚度;RT-qPCR检测神经生长因子、脑源性神经营养因子的mRNA表达量,Western blot法检测生长相关蛋白43的蛋白表达量。结果与结论:与阴性对照组相比,普伐他汀组坐骨神经功能指数恢复更快(P<0.05),更接近于假手术组水平,血清中炎症细胞因子肿瘤坏死因子α及白细胞介素6表达更低(P<0.05)且接近假手术组,坐骨神经中神经生长因子、脑源性神经营养因子的mRNA相对表达量增加(P<0.05或P<0.01),坐骨神经中生长相关蛋白43的蛋白相对表达量也明显增加(P<0.05),有髓神经纤维数目增加更多,纤维直径、轴突直径及髓鞘厚度数值更大(P<0.01)且与假手术组更接近。结果说明,普伐他汀的治疗加速了坐骨神经压碎损伤的功能恢复,其可能机制是抑制炎症细胞因子肿瘤坏死因子α及白细胞介素6的表达及促进神经营养因子神经生长因子、脑源性神经营养因子的分泌。

黄土丘陵区县域耕地时空格局变化及驱动因素分析——以天水市武山县为例

以黄土丘陵区武山县为研究对象,基于土地利用数据,运用变化轨迹分析法、面积加权平均差椭圆和景观格局指数以及土地利用预测模型,探究1990-2018年武山县耕地格局变化特征,判断各要素对其变化的重要程度。结果显示,(1)3个研究时段武山县耕地面积总体呈减少趋势,耕地重心不同时段存在差异,耕地重心先向西南转移再向东南转移。(2)3个研究时段武山县耕地变化都具有减少补充的基本特征,2000年前速率缓慢,2000年后速率加快,耕地减少面积比补充面积多,耕地减少以城关镇和洛门镇为主。(3)3个研究时段武山县耕地图斑呈现出破碎化现象,破碎化程度加剧。(4)3个研究时段武山县耕地发生变化的主要原因可以归纳为政策影响、自然环境因子影响、空间距离要素的影响,而受地理空间要素影响较小。综上,武山县耕地在28年间变化明显,武山县需要贯彻耕地保护政策和可持续发展理念,合理利用耕地。

基于Three Factor+C模型改进的地形辐射校正方法

地形辐射校正(简称"地形校正")是复杂地形遥感定量化研究的关键环节之一。针对传统的经验地形校正模型存在的不同坡度采用同一校正系数的缺陷,基于简化的Three Factor+C模型,借鉴改进型Minnaert模型中坡度分级的思想,提出了基于Three Factor+C+坡度的地形校正方法。结果表明,使用Three Factor+C+坡度模型进行地形校正后的遥感图像,其均值、标准差、像元值与光照系数的相关性、阴阳坡光谱辐亮度值、离散指数和同质系数等6个指标均优于参与比较的C模型、SCS模型、Three Factor模型和Three Factor+C模型的对应指标。Three Factor+C+坡度模型有比较完善的物理机制,并较好地消除地形对光谱辐亮度的影响,值得推广。

关于Zp^＊分解基S的选取及在Index—calculus算法中的应用

给出循环群Zp*分解基S的选取方法,并由此确定有效生成关系式:αk=∏ti=1pici(其中ci≥0)和βαk=∏ti=1pidi(其中di≥0)。该方法在离散对数体制中,对计算离散对数的Index-calculus算法大有裨益,并通过大量实例验证之。

甘肃省农业绿色全要素生产率测算及影响因素研究

提升农业绿色全要素生产率对于实现农业可持续发展具有重要的意义。运用SBM-GML指数法对甘肃省各市州2011-2020年的农业绿色全要素生产率及其区域差异进行分析,最后运用Tobit模型对甘肃省农业绿色全要素生产率影响因素进行分析,并在此基础上提出相应的对策建议。研究结果显示,(1)甘肃省农业绿色全要素生产率总体呈上升趋势,上升的主要动力来源于技术进步。(2)甘肃省农业绿色全要素生产率存在一定的空间差异性,总体呈现出“西低东高”的分布特点。(3)在甘肃省农业绿色全要素生产率的影响因素中,经济发展水平、城镇化水平、财政支农水平和农业产业结构对甘肃省农业绿色全要素生产率的提升具有显著的正向影响,受灾率对甘肃省农业绿色全要素生产率的提升具有显著的负向影响,且不同区域的农业绿色全要素生产率的影响因素也各不相同。最后,在以上分析的基础上提出了相应的对策建议。

Correlation of serum albumin and prognostic nutritional index with outcomes following pancreaticoduodenectomy

BACKGROUND Pancreaticoduodenectomy(PD) is a complex surgical procedure with a high morbidity rate. The serious complications are major risk factors for poor longterm surgical outcome. Studies have reported an association between early postoperative prognostic nutritional index(PNI) and prediction of severe complications after abdominal surgery. However, there have been no studies on the use of early postoperative PNI for predicting serious complications following PD.AIM To analyze the risk factors and early postoperative PNI for predicting severe complications following PD.METHODS We retrospectively analyzed 238 patients who underwent PD at our hospital between January 2007 and December 2017. The postoperative complications were classified according to the Dindo-Clavien classification. Grade Ⅲ-Ⅴ postoperative complications were classified as serious. The risk factors for serious complications were analyzed by univariate analysis and multivariate logistic regression analysis.RESULTS Overall complications were detected in 157 of 238 patients(65.9%) who underwent PD. The grade Ⅲ-Ⅴ complication rate was 26.47%(63/238 patients).The mortality rate was 3.7%(9/238 patients). Multivariate logistic regression analysis revealed that preoperative serum albumin [odds ratio(OR): 0.883, 95%confidence interval(CI): 0.80-0.96; P < 0.01] and PNI on postoperative day 3 <40.5(OR: 2.77, 95%CI: 1.21-6.38, P < 0.05) were independent factors associated with grade Ⅲ-Ⅴ postoperative complications.CONCLUSION Perioperative albumin is an important factor associated with serious complications following PD. Low early postoperative PNI(< 40.5) is a predictor for serious complications.

Estimation and Prediction of Bioconcentration Factors of Nonionic Organic Chemicals in Fish by Electrotopological State Indices and Structural Parameter

Based on the characteristics of atom types, Hall＇s electrotopological state indices （En） are calculated for 165 nonionic organic compounds. On the basis of the characteristics of substituent and conjugated matrix, a novel molecular structure parameter （G） is defined and calculated for 165 molecules in this paper. En and G show good structural selectivity for organic molecules. G, a satisfactory relationship between bioconcentration factor （BCF） and En, is expressed as： 1gBCF = -0.283 ＋ 1.246G ＋ 0.079E42 ＋ 0.351E9- 0.063E17 （n＇ = 122, R = 0.967, F = 425.636, s = 0.394）, which could provide estimation and prediction for the lgBCF of nonionic organic chemicals. Furthermore, the model is examined to validate overall robustness with Jackknife tests, and the independent variables in model do not exist cross correlation with VIF. All these regression results show that the new parameter G and electrotopological state index have good rationality and efficiency. It is concluded that the En and G will be used widely in quantitative structure-property/activity relationship （QSPR/QSAR） research.

The Impact of Meteorological Factors on the Short-term Cumulative Effect of Air Particulate in Tianjin

In order to reveal the rapid increase mechanism of particulate concentration in short time,a notion of short-term cumulative effect of air particulate is defined as the significant increase of pollutant concentration in a short time under the condition of breeze,stable weather and constant emission caused by human being's activities. Subsequently,an index of short-term cumulative effect is established with air diffusive equation,and then the macro-scale meteorological situation and micro-scale factors of forming the short-term cumulative effect are discussed with the observation data. The macro-scale meteorological variables contain upper-level weather situations and surface weather situations. The micro-scale factors mainly include the boundary-layer height and boundary-layer stability. The analyses show that boundary-layer factors and weather variables have a significant influence on the short-term cumulative effect. The notion of short-term cumulative effect will play an important role in interpreting the severe pollution weather.

Risk factors for tuberculosis after gastrectomy in gastric cancer

AIM: To examine incidence of tuberculosis(TB) in gastrectomy patients and investigate the risk factors for developing TB after gastrectomy in patients with gastric cancer.METHODS: A retrospective cohort study of gastrectomy patients with gastric cancer was performed at a university-affiliated hospital in Seoul, South Korea between January 2007 and December 2009. We reviewed patient medical records and collected data associated with the risk of TB, surgery, and gastric cancer. Standardized incidence ratios(SIRs) of TB were calculated to compare the incidence of TB in gastrectomy patients with that in the general Korean population, and risk factors for TB after gastrectomies were analyzed.RESULTS: Among the 1776 gastrectomy patients, 0.9%(16/1776) developed post-gastrectomy TB, with an incidence of 223.7 cases per 100000 patients per year. The overall incidence of TB in gastrectomy patients, adjusted by sex and age, was significantly higher thanthat in the general population(SIR = 2.22, 95%CI: 1.27-3.60). Previous TB infection [odds ratio(OR) = 7.1, P < 0.001], lower body mass index(BMI)(kg/m2; OR = 1.21, P = 0.043) and gastrectomy extent(total gastrectomy vs subtotal gastrectomy)(OR = 3.48, P = 0.017) were significant risk factors for TB after gastrectomy in a multivariate analysis.CONCLUSION: TB incidence after gastrectomy is higher than that in the general population. Previous TB infection, lower BMI, and total gastrectomy are risk factors for TB after gastrectomy in patients with gastric cancer.

Study on the Relationship between Chlorophyll-a and Environmental Impact Factors in Deep Reservoir in Karst Areas——Taking Aha Reservoir for Example

[Objective] The aim was to study the relationship between chlorophyll-a and environmental impact factors in deep reservoir in Karst Areas.[Method] Taking Aha Reservoir for example,the changes of chlorophyll-a content and its relationship with environmental impact factors were researched,and the water quality of Aha Reservoir was assessed by means of modified Carlson trophic state index.[Result] Chlorophyll-a content in Aha Reservoir was higher in March,April,May and September and lower from June to August,and there was obvious seasonal variation,namely its variation trend was spring>summer>autumn>winter.In addition,chlorophyll-a content showed extremely significant correlation with transparency and dissolved oxygen (P<0.01) and significant correlation with ammonia nitrogen (P<0.05).Meanwhile,trophic state index was higher in whole year in Aha Reservoir which was in moderate trophic state in August,October and November and eutrophic state in other months.[Conclusion] The study could provide scientific reference for discussing the mechanism of lake eutrophication.

Factor analysis of earthquake-induced geological disasters of the M7.0 Lushan earthquake in China

The seismic intensities, lithologic characteristics and terrain features from a 3000 km2-region near the epicenter of the Lushan earthquake are used to analyze earthquake-induced geological disaster. The preliminary results indicate that secondary effects of the earthquake will affect specific areas, including those with glutenite and carbonate bedrock, a seismic intensity of IX, slopes between 40° and 50°, elevations of less than 2500 m, slope change rates between 20° and 30°, slope curvatures from - 1 to -0.5 and 0. 5 to 1, and relief between 50 and 100 m. Regions with susceptibility indices greater than 0.71 are prone to landslides and collapses. The secondary features are mainly distributed on both sides of the ridges that extend from Baosheng to Shuangshi and from Baosheng to Longxing. Other features are scattered on both sides of the ridges that extend from Qishuping to Baosheng and from Masangping to Lingguan. The distribution of the earthquake-related features trends in the NE direction, and the area that was most affected by the Lushan earthquake covers approximately 52.4 km^2.

Quantification of driving factors on NDVI in oasis-desert ecotone using geographical detector method

Within oasis-desert ecotone regions,the normalized difference vegetation index(NDVI)is an important parameter for evaluating the growth of vegetation.An accurate quantitative study between NDVI and environmental and anthropogenic factors is critical for understand the driving factors of vegetation growth in oasis-desert ecotone.In 2016,four periods Landsat 8 OLI_TIRS images,relevant climatological parameters data(air temperature,air relative humidity,wind velocity and accumulated temperature),land cover type data and soil data were selected as proxies.In order to quantify the explanatory power for NDVI spatial and temporal distribution in the southern edge of Dunhuang City and northern side of the Mingsha Mountain,the geographical detector model was used to explain the potential influences of factors versus the spatial distribution of NDVI,and each explanatory variable's relative importance can be calculated.The factor detector results disclose that the spatial distribution of NDVI is primarily dominated by land cover type.The risk detector results show that,high NDVI region is located within woodland.The mean value of NDVI displays an increase and then decrease trend with air temperature increase.With the increase of wind velocity and decrease of air relative humidity,the NDVI value shows a decrease trend.The interactive q values between the two factors are higher than any q value of separated factors.Results also indicate that the strongest interactive effects of NDVI are different in distinct seasons.Consequently,anthropogenic activity is more important than environmental factors on NDVI in oasis-desert ecotone.We also demonstrate that air relative humidity rather than air temperature have played a greater role in NDVI spatial distribution.

Inflammation-based factors and prognosis in patients with colorectal cancer

Several parameters for predicting survival in patients with colorectal cancer have been identified, including the performance status, age, gender and tumor-nodemetastasis(TNM) stage. Although the TNM stage is important and useful for predicting the prognosis and determining the appropriate treatment, it is well known that the survival time varies widely, even in patients with the same stage of disease. Therefore, the identification of new parameters capable of more precisely predicting patient survival is needed to help select the optimal treatment, especially in patients in the advanced stage of disease. Although the TNM stage reflects the tumor characteristics, cancer progression and survival are not determined solely based on the local characteristics of the tumor, but also the host systemic immune/inflammatory response. Therefore, using a combination of parameters that reflect both tumor characteristics and the host systemic inflammatory status is thought to be important for accurately predicting patient survival.