Entrepreneurship, ethnicity and local contexts: Hispanic entrepreneurs in three U.S. southern metropolitan areas

Previous research suggests that entrepreneurship can provide ethnic minorities a springboard for economic advancement and social integration. However, self-employment rates vary significantly among ethnic groups, between men and women, and in different places. The prevailing literature suggests that personal characteristics, including human capital attributes, ethnic networking, institutional regulations, societal structures and discrimination, all contribute to the differential ethnic entrepreneurship rates. However, very few recent studies have analyzed how different urban socio-economic contexts influence this process. Using the 2000 Public Usable Microdata Samples (PUMS), this study examines how Hispanic entrepreneurs perform in three different metropolitan areas in the US South. The results show that the ethnic diversity, history of immigration, and the economic structure in each local area have provided different opportunities and challenges for Hispanics to start up and maintain their own businesses. This study suggests that the process of economic incorporation of ethnic minorities and immigrants depends significantly on the institutional capacity and social, cultural and political resources of local communities.     

Climatic change during the last 4000 years in the southern Tarim Basin,Xinjiang, northwest China

In this study, a ca. 4000 cal. yr ancient lacustrine (or wetland) sediment record at the southern margin of Tarim Basin is used to reconstruct the history of climate change. Six radiocarbon dates on organic matter were obtained. δ¹⁸O and δ¹³C of carbonate, pollen and sediment particle size were analysed for climate proxies. The proxies indicate that a drier climate prevailed in the area before ca. 1010 BC and during period 1010 BC–AD 500 climate then changed rapidly and continuously from dry to moist, but after about AD 500 climate generally shows dry condition. Several centennial‐scale climatic events were revealed, with the wettest spell during AD 450–550, and a relatively wetter interval between AD 930–1030. Pollen results show that regional climate may influence human agricultural activities. Spectral analysis of mean grain size (MGS) proxy reveals statistically pronounced cyclic signals, such as ca. 200 yr, ca. 120 yr, ca. 90 yr, ca. 45 yr and ca. 33 or 30 yr, which may be associated with solar activities, implying that solar variability plays an important role in the decadal‐ and centennial‐scale climate variations in the study area. Copyright © 2007 John Wiley & Sons, Ltd.     

谈新形势下地勘单位改革发展的现状及未来发展方向

新中国成立以来,地勘单位先后在计划经济和市场经济下为国家的发展做出了重要贡献,也先后经历了初步探索、属地化管理、事企分体运行等不同阶段。十九大以来,随着事业单位改革的逐步深入,地勘单位改革迫在眉睫。为了更好的适应时代发展,又快又好地进行地勘单位转型,通过研究不同历史时期地勘单位发展的问题和困难,指出现阶段面临的主要问题是改革意愿不强烈、转型工勘领域受阻、资本占有率低和人才匮乏。以此为基础,提出转变思想、学习集团化企业路线、投身地方产业结构、全面提升自然资源意识、加强自身建设和长期持续稳定转型的发展建议,供转型发展的地勘单位参考。     

A novel index to evaluate discretization methods:A case study of flood susceptibility assessment based on random forest

The selection of a suitable discretization method(DM)to discretize spatially continuous variables(SCVs)is critical in ML-based natural hazard susceptibility assessment.However,few studies start to consider the influence due to the selected DMs and how to efficiently select a suitable DM for each SCV.These issues were well addressed in this study.The information loss rate(ILR),an index based on the informa-tion entropy,seems can be used to select optimal DM for each SCV.However,the ILR fails to show the actual influence of discretization because such index only considers the total amount of information of the discretized variables departing from the original SCV.Facing this issue,we propose an index,infor-mation change rate(ICR),that focuses on the changed amount of information due to the discretization based on each cell,enabling the identification of the optimal DM.We develop a case study with Random Forest(training/testing ratio of 7:3)to assess flood susceptibility in Wanan County,China.The area under the curve-based and susceptibility maps-based approaches were presented to compare the ILR and ICR.The results show the ICR-based optimal DMs are more rational than the ILR-based ones in both cases.Moreover,we observed the ILR values are unnaturally small(＜1％),whereas the ICR values are obviously more in line with general recognition(usually 10％-30％).The above results all demonstrate the superiority of the ICR.We consider this study fills up the existing research gaps,improving the ML-based natural hazard susceptibility assessments.     

Effect of rising atmospheric CO2 on sediment and water 15N interactions in experimental riparian wetland

The experiment was conducted to ascertain net production and consumption rates of ¹⁵NH₄ ⁺ and ¹⁵NO₃ ^? for water and sediment in a wetland. This was done using ¹⁵N isotope pool dilution methodology under ambient and elevated atmospheric CO₂ concentrations in experimental riparian wetlands to obtain the gross N transformation rates. The ¹⁵N budget for sediment was also estimated. The results suggested that the differences in high proportion of ¹⁵N concentration in the overlying water body under elevated CO₂ could be attributed to the low production and high consumption rates of ¹⁵NH₄ ⁺ in sediment. The elevated CO₂ effect on production and consumption of NH₄ ⁺ decreased by 144 % (P = 0.014) and increased by 153 % (P = 0.009), respectively. Thereby, ¹⁵NH₄ ⁺ production rates are negatively related with ¹⁵NO₃ ^? consumption rates and this accounted for the decreases in net ¹⁵NO₃ ^? consumption under CO₂ enrichment in the wetland sediment by 11 % (P = 0.528). Therefore, ¹⁵NO₃ ^? production and consumption rates may strongly depend on NH₄ ⁺ production. Inorganic ¹⁵N and total ¹⁵N exported from sediment to overlying water body by the effect of CO₂ were 41 % (P = 0.071) and 18 % (P = 0.000), respectively. Therefore, low net ¹⁵NH₄ ⁺ production and high ¹⁵NH₄ ⁺ consumption rates under elevated CO₂ may partly explain the significant reduction of N from the sediment.     

中国大陆科学钻探筹备工作大事记（续1）

中国大陆科学钻探筹备工作大事记（续１）１９９２年·应中国地质勘查技术院邀请,俄罗斯超深孔钻探与地球内部综合调查科学生产联合体总经理Ｂ．ＮＫＨＡＫＨＡＥＶ（哈哈耶夫）博士和地质信息系统研究所超深孔钻探实验室主任的Ｍ．Ｉ．ＶＯＲＯＺＨＢＩＴＯＶ（沃罗日毕...     

The role of collective groundwater institutions in the implementation of direct groundwater regulation measures in Minqin County, China

Direct groundwater regulation (e.g. registration of abstraction points, permits and concessions) has been much advocated world-wide; however, few successful cases have been reported. The development of groundwater use in Minqin County, Gansu Province, China, is described, with analyses of the situation before and after the implementation of direct groundwater regulation measures in 2007. Based on a survey carried out in 2010, it is argued that the regulation measures, which were part of a broader water-policy reform, were successfully implemented due to their integration with pre-existing collective groundwater institutions. In addition to the regulation measures—the closure of wells and per capita water use restriction—all villages had to form water users’ associations (WUAs) which were assigned to implement the new regulations. These WUAs were found to have the same structure as the existing collective groundwater institutions. Through the water-policy reform, the function of the pre-existing groundwater institutions was transformed from managing “water exploitation” to managing “water conservation”.     

Using landscape indicators and Analytic Hierarchy Process (AHP) to determine the optimum spatial scale of urban land use patterns in Wuhan,China

Quantifying land use patterns and functions is critical for modeling urban ecological processes, and an emerging challenge is to apply models at multiple spatial scales. Methods of determining the optimum scale of land use patterns are commonly considered using landscape metrics. Landscape metrics are quantitative indicators for analyzing landscape heterogeneity at the landscape level. In this study, due to their widespread use in urban landscape analyses and well-documented effectiveness in quantifying landscape patterns, landscape metrics that represent dominance, shape, fragmentation and connectivity were selected. Five metrics include Patch Density, Contagion, Landscape Shape Index, Aggregation Index and Connectivity. Despite a wide application of landscape metrics for land use studies, the majority mainly focuses on the qualitative analysis of the characteristics of landscape metrics. The previous models are limited in exploring the optimum scale of land use patterns for their lack of quantitation. Therefore, taking the City of Wuhan as an example, the land use unit was treated as a patch, and the landscape pattern metrics at different spatial scales were calculated and compared so as to find the optimum one. Furthermore, a mathematical model of landscape metrics was proposed to quantify the scale effect of urban land use patterns, generating a complementary tool to select the optimum scale. In addition, Analytic Hierarchy Process (AHP) was introduced to determine the respective weights of the chosen landscape metrics in this model. Fractal dimension was ultimately applied to verify the chosen optimum scale of our study region. The results indicated that 60 m is confirmed to be the optimum scale for capturing the spatial variability of land use patterns in this study area.