实现网络结点编号和添加虚工序的一种计算机处理方法

本文介绍一种算法,可对工程管理网络图的各个结点进行编号,并实现虚工序的自动添加。文末给出了算法的时间复杂度分析。     

Assessing the cumulative effects of stress: The association between job stress and allostatic load in a large sample of Chinese employees

Job stress can lead to various system dysfunctions, but until now no reliable biomarkers for its assessment have been identified. Allostatic load (AL) is an index that enables the cumulative effect on the body of chronic stress to be assessed, and is derived from a set of relevant biological measures. In this study, a 13-parameter index (building on the original 10-item index) was used to examine the relationship between job strain and AL. Participants were 1219 healthy Chinese employees. Job strain was measured using the Job Content Questionnaire, and AL was assessed by various possible stress responses, including blood pressure, cholesterol, indicators of glucose metabolism, and hormone and inflammation markers. AL in the high job strain group differed sharply from that in the low job strain group. The AL score was positively associated with age and educational level. Several individual parameters also differed between the two groups. Men scored significantly higher on AL and cardiovascular and metabolic health outcomes, whereas for women the associations appeared in the biological indicators. Analyses indicated that decision latitude (DL) and job demands were significantly related to AL. Job demands correlated significantly with the primary biological indicators and DL with the secondary health outcomes. In conclusion, this study provides evidence of the value of measuring allostatic load in assessing the chronic effects of job stress.     

Measuring the complexity of generalized linear hierarchical models

Measuring a statistical model's complexity is important for model criticism and comparison. However, it is unclear how to do this for hierarchical models due to uncertainty about how to count the random effects. The authors develop a complexity measure for generalized linear hierarchical models based on linear model theory. They demonstrate the new measure for binomial and Poisson observables modeled using various hierarchical structures, including a longitudinal model and an areal‐data model having both spatial clustering and pure heterogeneity random effects. They compare their new measure to a Bayesian index of model complexity, the effective number p_D of parameters (Spiegelhalter, Best, Carlin & van der Linde 2002); the comparisons are made in the binomial and Poisson cases via simulation and two real data examples. The two measures are usually close, but differ markedly in some instances where p_D is arguably inappropriate. Finally, the authors show how the new measure can be used to approach the difficult task of specifying prior distributions for variance components, and in the process cast further doubt on the commonly‐used vague inverse gamma prior.     

Is subsidiarity a conditio sine qua non for sustainability?

This paper argues that subsidiarity is a condicio sine qua non for sustainability. Through the complexity paradigm, the paper provides a historical reconstruction of both concepts to the end of elucidating their interdependence. The main thesis is that subsidiarity to sustainability is what self-organisation is to emergence. The paper ends with a sketch of future global governance structures based on a subsidiarity where cities take the lead on sustainability.     

Generating inclusive services for children,youth and families: A shift to using complex systems theory

Service systems for children and families have been shaped by standard approaches to knowledge-building, which reflect a reductionist approach and assume linearity and/or that individuals and experiences are normally distributed. Yet, these approaches may be inadequate for clients most at-risk, especially those who would be analytic ‘outliers’. A complexity lens focuses on the whole system and seeks to identify patterns, including the dynamic interactions between components of the system. Social work scholars have begun to apply complexity theory to social work research efforts, demonstrating the conceptual potential of incorporating this theoretical approach into social work theories and models such as the person-in-environment framework and the ecosystems perspective. Yet, frameworks informed by complexity theory may require ontological and epistemological shifts in thinking and new methodological approaches in order to fully embody a complexity approach. Complexity theory offers the opportunity to consider social work clients who are most at-risk, as it is better suited for power law distributions. We can, therefore, reconceptualize the most ‘at-risk’ clients as being in a state of transition, which is also the space of most creativity and possibility.     

Abstractions on steroids: A critical realist approach to computer simulations

Computer simulations are increasingly used within various fields of the social sciences, including analytical sociology and computational social science. However, the method has yet to fully find its place within critical realism, generally regarded as reductionist and methodological individualist and thus inadequate to the task of grasping the full and enigmatic complexity of social life. This article contributes to the discussion by suggesting an alternative approach to computer simulations in the social realm. Instead of representing reality, simulations are seen as a way of boosting abstraction by enabling us to isolate and study the effects of emergent mechanisms. The need for such tools is growing more urgent in an age characterized by rapid change and global networks of causal interrelation. Hence there is a need not only for new tools to deal with causal complexity within critical realism, but also for a critical realist perspective to fill the meta‐theoretical vacuum on which the simulation approach is largely based. The approach developed here provides a challenge to the predominant ways in which simulations are utilized today, with increasingly sophisticated models aiming towards realistic representation on the basis of empirical data.     

Gender gaps in STEM in Japanese academia: The impact of research productivity,outside offers,and home life on pay

To understand differences in labor market outcomes between genders, economists must examine a complex array of potentially significant factors, such as institutional context, productivity differences, child-bearing and home production, and bargaining behavior. Many of these factors are not well captured by standard data sources. We use a new survey of academics in Japan to better understand the sources of gender pay differences. We find a 6% pay gap which persists when we control for research productivity, despite an institutional context shaped by explicit salary tables. We do not find a motherhood wage penalty, and the gender salary we document is not affected by differences in outside job offers.     

The Medical Center's Impact in the Network to Sustain the Aged in the Community

A process is described to show how a Social Work Department of a Medical Center ascertained the need to offer a continuum of comprehensive services to a high risk elderly population. This includes aiding and participating with the board and administration of the Medical Center to develop a varied network of services programs. A community based program model is used to show the utilization of individual and group modalities in working with this age population. Clinical material is incorporated to emphasize that aging clients are accessible for psychosocial interventions and can utilize their ego strengths through group living and group counseling. Experiences will highlight that behavioral changes can be brought about through a reintegration of social, emotional, and environmental forces.     

Contingent constellations: African urban complexity seen through the workings of a Ghanaian bus station

In this article, I explore the intricate relationship between regulation and contingency in processes of urban economic organisation by focusing on the workings of a central bus station in Accra, Ghana. After introducing the position of the station in Ghana’s urban economy and transport infrastructure, I set out its internal regulative arrangements in relation to larger socio-economic and political constellations the practices of the station workers are contingent upon. Next, I turn the analysis around and describe the ways in which people accommodate themselves within, exploit and thereby co-produce emergent contingencies. The focus on the station, I suggest, offers a window into the complex constituents of niche economic practices that prevail in many spheres of African cities and allows a nuanced reflection on the incongruous and undetermined dynamics of everyday urban ‘becomings.’     

Testing the Effectiveness of Fundraiser Job Titles in Charitable Bequest and Complex Gift Planning

Traditional fundraiser job titles are often institution centered, focusing on the benefits of fundraising as “institutional advancement” or “institutional development.” Such institution‐centered job titles may not be as effective with donors given the modern shift toward donor‐centered philanthropy. Alternative job titles can be gift centered (for example, “major gifts”) or donor centered (for example, “donor advising”). A survey of 3,188 respondents tested sixty‐three job titles in four charitable scenarios: a charitable bequest gift, a gift of stock, a gift of real estate, and a charitable gift annuity. Measured by which person donors would be more likely to contact to discuss each donation, the worst‐performing titles were the traditional institution‐focused fundraiser job titles, in particular those using “advancement,” “institutional advancement,” or “development.” This was also true when examining only respondents who had made large gifts ($500+) to a charity. Traditional institution‐focused job titles are both the most commonly used and the worst performing. Nonprofit managers may do well to consider the donor's perspective when selecting job titles for fundraisers rather than following traditional industry practices.