药物遗传学在法医学中的应用前景

人类因为基因的差异而表现出对某种药物、毒物、外界有害的化学物质、过敏原作出不同的反应.这种遗传背景的差异使一些人可以快速地清除这些物质,而另一些人却因此产生严重的不良反应.甚至死亡.药物遗传学和药物基因组学,通过对人类基因组测序和大规模基因组多态性的鉴别研究,诠释了个体遗传差异与对药物毒物不同反应之间的关系,这为该类案件的法医学鉴定提供了新的理论基础和研究手段.     

问题图式获得理论及其在教学中的应用

问题图式是能在问题解决过程中起核心作用的大的知识单元,它使我们对问题解决表征机制的认识更为深刻.在阐述问题图式获得机制方面,研究者提出了结构映射理论和语用图式理论,同时发现类比问题解决和样例学习是获得问题图式的两条有效途径.因此,要想在教学中有效地促进学生问题图式的获得,就要增加学生类比问题解决和样例学习的机会,比如提倡图式图教学;在样例教学初期,给予学生适当的线索提示;迁移教学中增加源问题类比物的数量等.     

高等职业教育面临的挑战及对策

高等职业教育是高等教育的重要组成部分,入世以后,我国高等职业教育发展机遇和挑战并存,面对挑战,发展高等职业教育的对策是加强高等职业教育专业设置的预见性,产学研相结合,培养高等技术应用性人才,加强师资队伍建设。     

A New Cosmology of Risks and Crises: Time for a Radical Shift in Paradigm and Practice

Crises in the twenty-first century differ—structurally—from those we had to deal with in the last century. Crises of the twentieth century were traditionally defined and handled as a combination of "threat, urgency, and uncertainty." Today, crises are better described in terms of a destruction of vital references and a dynamic of systemic implosions. If crises were once a type of severe, dynamic accident, they are now the essential mode of life in our hypercomplex systems. These transboundary crises mark a watershed between mind-sets and tools of the past, and the new strategic landscape that we are now in. The intellectual and governance challenges are extreme. But looking back is not an option. It is vital to forge new routes into Terrae Incognitae . The goal of this article is to help build (1) a renewed understanding of the emerging challenges we face; and (2) a better strategic response to these systemic dislocations.     

The Cartography of Opportunity: Spatial Data Science for Equitable Urban Policy

As evidence of the contextual effects of place upon individual outcomes has become increasingly solid over time, so too have urban policies and programs designed to connect underserved people with access to spatial opportunity. To this end, many attempts have been made to quantify the geography of opportunity and quite literally plot it on a map by combining evidence from studies on neighborhood effects with spatial data resources and geographic information systems (GIS) technology. Recently, these opportunity maps have not only become increasingly common but their preparation has been encouraged and facilitated by the U.S. Department of Housing and Urban Development. A closer look at the foundations and methods that underlie these exercises offers important lessons I examine the practice of opportunity mapping from both theoretical and methodological perspectives, highlighting several weaknesses of the common methods. Following this, I outline a theoretical framework based on Galster’s categorization of the mechanisms of neighborhood effects. Using data from the Baltimore metropolitan region, I use confirmatory factor analysis to specify a measurement model that verifies the validity of the proposed theoretical framework. The model provides estimates of four latent variables conceived as the essential dimensions of spatial opportunity: social-interactive, environmental, geographic, and institutional. Finally, I develop a neighborhood typology using unsupervised machine learning applied to the four dimensions of opportunity. Results suggest that opportunity mapping can be improved substantially through a better connection to the empirical literature on neighborhood effects, a multivariate statistical framework, and more direct relevance to public policy interventions.     

Rewards and Consequences: Redistricting on the Chicago City Council

The challenges of understanding gerrymandering are primarily related to its conceptual ambiguity and measurement. This is true despite landmark legal rulings and a rich literature on the subject. In an attempt to alleviate some of the confusion, theories of the gerrymandering process are combined with advanced quantitative and mapping techniques. The focus is on Chicago, where it is frequently claimed that gerrymandering is institutionalised; however, there has not been sufficient study of the causal connections between gerrymandering and a ward’s racial makeup. Employing a mixed methods approach which combines a case study of the 2011–2012 redistricting in Chicago with quantitative analysis of Decennial Census and data from the Chicago Data Portal, this article examines the remapping of Chicago from early 2012 (effective in 2015 and matched with 2010 Census data) to assess how potentially gerrymandered districts are diluting or concentrating vote share of racially homogeneous groups.     

信息化城市管理和谐模型建模初探

尝试在论文“信息物质效能定律与城市管理和谐模式初探”的基础上,提出城市管理中信息物质效能作用的数学模型,并在随后的研究中逐步完善该模型。本文以映射关系表达G、B、C、P之间作用关系,初步求证了“信息物质效能定律与城市管理和谐模式初探”中提出的城市管理中信息物质效能的主要特性之一———闭合性。     

Raman Microspectroscopic Mapping: A Tool for Identification of Fused Materials in Fire Debris

Examination of fire debris can provide information about the types of materials which were present at the time of the fire to give insights for fire scene reconstruction and understanding compartment fire dynamics. This paper demonstrates the ability of Raman spectroscopy for material identification postfire in complex situations, such as the production of fused masses during fire dropdown. A validated Raman spectral library is combined with Raman mapping in three fire case studies, to determine the individual materials in the fused masses formed. The case studies accessed material combinations of several common polymers. Raman mapping was carried out on a 10 μm × 10 μm square of the masses. Material identification using this technique ranged from a high of 85% match to a low of 40% match. This work demonstrated that complex masses found in the fire debris can be resolved into the individual material components for identification and spatial distribution.     

Comparing Effect Sizes in Follow-Up Studies: ROC Area,Cohen's <Emphasis Type="Italic">d</Emphasis>, and <Emphasis Type="Italic">r</Emphasis>

In order to facilitate comparisons across follow-up studies that have used different measures of effect size, we provide a table of effect size equivalencies for the three most common measures: ROC area (AUC), Cohen's d, and r. We outline why AUC is the preferred measure of predictive or diagnostic accuracy in forensic psychology or psychiatry, and we urge researchers and practitioners to use numbers rather than verbal labels to characterize effect sizes. Strictly speaking, d values pertain only to variables scored on an interval scale. When the nondichotomous variable is ordinally scaled, r or AUC should be used. Nevertheless, the values in Table 1 allow one to compare the relative magnitudes across studies that have reported any of the three effect size measures.