南丰县中药资源及其保护

南丰县主要中药资源有１３８种，隶属三大类，其中真菌药６科６属８种。植物药７０科１０８属１１７种；动物药１０科１３属１３种，文中提出了它们的保护及开发利用措施。     

Reversing the flow: agricultural development and changing migration patterns in rural Maharashtra

"In this paper we investigate the impact of rapid change from subsistence to irrigated farming [in Maharashtra, India,] and human dynamic responses to these changes from a longitudinal perspective (1975 to 1987). The study focuses on a single village, providing an in-depth and extensive analysis of both in and out-migration, characteristics of migrants, motivations for migration, experience at destination, and links with home areas, both social and economic.... The importance of migration, not only to the study village, but also to other rural areas from which in-migrants came, is also assessed." (SUMMARY IN FRE AND SPA)     

Decent Living Standards: Material Prerequisites for Human Wellbeing

Children whose parents experience adverse social, economic, or health-related living conditions are more likely to face similar types of disadvantage in their adult life. However, a limitation of many earlier studies is that they do not account for the multidimensionality of the concept of living conditions, and that the child generation’s life courses are targeted as static and independent from the societal context in which they are imbedded. The current investigation addressed these aspects by focusing on the complexity, duration, and timing of disadvantage with regard to how adverse circumstances in the family of origin are associated with trajectories of social, economic, and health-related living conditions across adulthood. We also examined the role of educational attainment for these associations. Analyses were based a Swedish cohort born in 1953 (n = 14,294). We first conducted sequence analysis, followed by hierarchical cluster analysis, to generate ‘outcome profiles’, i.e. trajectories of adult disadvantage. Second, several indicators of adverse circumstances in childhood were analysed by means of multinominal regression analysis, showing the odds of ending up in the different trajectories. The results indicated that individuals who grew up under adverse conditions were more likely to experience disadvantaged social, economic, and health-related trajectories. This was particularly the case for trajectories characterised by a high degree of complexity, i.e. coexisting disadvantages, and—among men only—by a longer duration of disadvantage. Educational attainment was identified as a powerful mediator, suggesting that efforts to increase equal educational opportunity may be a way of reducing the intergenerational transmission of disadvantage.     

Creative Class Concentrations in Shanghai,China: What is the Role of Neighborhood Social Tolerance and Life Quality Supportive Conditions?

Creative class refers to the demographic segment composed of intellectuals, knowledge intensive workers and artists in different fields. Creative class is of essential social significance in that its members are capable of booming regional economy through innovation. Rather few studies have empirically examined the neighborhood social determinants of intra-urban creative class concentrations (CCCs), especially in the developing countries. Using the case of Shanghai city in China, this paper characterizes the CCCs in relation to social tolerance and life quality supportive conditions (LQSCs) at district level. Data for CCCs are collected from Shanghai’s Population Census (2010) at the district level. A set of social diversity indices (ethnic, education, income, marriage status, and birth place) are used as proxy for tolerance and LQSCs are described by a set of indicators from 8 domains (job chance, medical care, educational facilities, commutation, food resources, housing, leisure, and natural amenities). Multivariable linear regression is employed to identify the determinants of CCCs. Results show that both neighborhood social tolerance and LQSCs have significant influences on different categories of CCCs. In particular, creative class is attracted by the neighborhoods that are open and welcoming to the outsiders. In addition, creative class emphasizes accessible medical care, traveling convenience, elementary education institution, great housing choices, and more natural amenities in their neighborhood. The variance decomposition method demonstrates that neighborhood LQSC determinants are more important for the intellectuals, knowledge workers and total CCCs. For the artists, the neighborhood social tolerance determinants are more influential. Our study generates a set of neighborhood social indicators to understand the intra-urban CCCs.     

Acceptance sampling based on life tests: log-logistic model

The problem of acceptance sampling when the life test is truncated at a preassigned time is considered. For various acceptance numbers, confidence levels and values of the ratio of the fixed experimental time to the specified average life, the minimum sample size necessary to ensure the specified average life, are obtained under the assumption that the lifetime variate of the test items follows a distribution belonging to Burr's family XII of distributions - called the log-logistic model. The operating characteristic values of the sampling plans and producer's risk are presented. The results are illustrated by an example.     

Lessons from the flipside: How do acquirers learn from divestitures to complete acquisitions?

We examine whether experience from prior divestitures is associated with higher completion likelihood in subsequent acquisitions. We argue that through divestitures, firms could extract meaningful knowledge that is helpful for completing their acquisitions, such as a general understanding of acquisition deal-making stages, and the stories and aims of the target in an M&A transaction. In addition, viewing divestitures as the flipside of acquisitions, we conjecture that the selling firm can observe how the divested component of their business is acquired, and vicariously learn from these observations. We also investigate the relative importance of learning from divestiture vis-à-vis acquisition experience in determining acquisition deal completion. Finally, we contend that the effect of learning from divestitures on acquisition deal completion depends on acquisition experience and deal value. We find evidence supporting our conjectures in a sample of 2164 M&A transactions from the worldwide computer and printing industries between 1991 and 2010.     

Linear representation of M-estimates in linear models

Consider the linear regression model, y_i = x_iβ₀ + e_i, i = l,…,n, and an M-estimate β of β_o obtained by minimizing Σρ(y_i — x_iβ), where ρ is a convex function. Let S_n = ΣX_iX_iX_i and r_n = S_n^½ (β — β₀) — S_n ² Σx_ih(e_i), where, with a suitable choice of h(.), the expression Σ x_ix(e,) provides a linear representation of β. Bahadur (1966) obtained the order of r_n as n→ ∞ when β_o is a one-dimensional location parameter representing the median, and Babu (1989) proved a similar result for the general regression parameter estimated by the LAD (least absolute deviations) method. We obtain the stochastic order of r_n as n → ∞ for a general M-estimate as defined above, which agrees with the results of Bahadur and Babu in the special cases considered by them.