CAT选题策略分类概述

选题是计算机化自适应测验（CAT）测试过程的关键环节,选题策略的目标是要达到较高的测量精度,同时也实现试题曝光率控制及其他测验目标的实现.本文根据选题策略的基本原理和衍生发展,将众多CAT选题策略分为五大选题策略系列：Fisher函数系列、K-LI函数系列、α分层系列、贝叶斯系列、b匹配系列;并根据测验目标（测验精度、试题曝光率控制、内容平衡、多条件约束）对这些选题策略进行了细分,并对CAT选题策略的选择思路进行归纳.     

A sufficiently political orthodox conception of human rights

The traditional conception of human rights, or the orthodox conception (OC), has, over the last few years, been vigorously challenged by the political conception (PC) of human rights. I have two main aims in this paper: the first is to articulate and evaluate the main points of disagreement between the OC and the PC in order to provide a clearer picture of what is at stake in the debate. The second is to argue that the OC has the resources to respond to the PC's most challenging criticism; namely that it is not sufficiently political.     

Bidirectional feature selection with global and local structure preservation for small size samples

Collecting samples is a challenging task for face recognition, especially for some real-world applications such as law enhancement and ID card identification, where there is usually single sample per person (SSPS) used to train a face recognition system. To extract discriminative features from the small size samples, in this paper we propose virtual samples via bidirectional feature selection with global and local structure preservation (VS-BFS-GL) to augment the number of training samples. In VS-BFS-GL, bidirectional feature selection is developed, which introduces L_2,1 norm to explore the face variations from both horizontal and vertical directions. Further, to include more variations in the virtual images, the global structure information and sample-specified local structure information of the SSPP training set are considered. By integrating bidirectional feature selection, global and local structure, the limited training samples are fully utilized and more knowledge are mined. To further improve the effectiveness of VS-BFS-GL, an auxiliary database containing different face variations can be used to explore the local structure information. We extensively evaluated the proposed approach on AR and FERET database. The promising recognition results demonstrate that VS-BFS-GL is robust to expression, pose and partial occlusion variations in the faces.     

On Biotechnology,Theology, and the Human Sciences

There may be very good Christian theological reasons to oppose human biotechnological enhancement. It is, however, difficult to discern what they are. Much of the specifically Christian response to transhumanist biotechnological enhancement has revolved around the metaphysics of human persons; this is hardly surprising, given that similar themes appear in other bioethical themes, such as over in vitro fertilization, abortion, and euthanasia. The main aim of this paper is to clarify the theological requirements for such responses, particularly those that are mistakenly delegated to scientists. In particular, the paper will focus on the need for a Christian theological account of human nature that does not unduly rely on biological accounts of the same.     

Women’s hair as a cue to desired relationship and parenting characteristics

We investigated how women’s hair color (blond, brown, black) and length (short, medium, long) influences males’ judgments about the women’s age, health, physical attractiveness, relationship potential, and parenting capability. Results, which are generally consistent with evolutionary psychology approaches, indicate that hair color and, to a lesser extent, length can affect perceptions of personal characteristics. More specifically, we found that lighter hair (blond and brown) compared to darker hair (black) is generally associated with perceptions of youth, health and attractiveness, and generally leads to more positive perceptions of relationship and parenting potential. Furthermore, the relationships between variables suggest that characteristics directly related to reproductive potential may be inferred from more obvious indirect characteristics. These results suggest that males are able to make complex judgments about women concerning their desirable relationship and parenting potential based on discernable characteristics such as hair color and length.     

What kind of kind is intelligence?

The model of human intelligence that is most widely adopted derives from psychometrics and behavioral genetics. This standard approach conceives intelligence as a general cognitive ability that is genetically highly heritable and describable using quantitative traits analysis. The paper analyzes intelligence within the debate on natural kinds and contends that the general intelligence conceptualization does not carve psychological nature at its joints. Moreover, I argue that this model assumes an essentialist perspective. As an alternative, I consider an HPC theory of intelligence and evaluate how it deals with essentialism and with intuitions coming from cognitive science. Finally, I highlight some concerns about the HPC model as well, and conclude by suggesting that it is unnecessary to treat intelligence as a kind in any sense.     

ON SOCIAL EVIL AND NATURAL EVIL: IN CONVERSATION WITH CHRISTOPHER SOUTHGATE

In this contribution, the author engages in a conversation with Christopher Southgate on the relationship between social evil and what is called natural “evil.” Theologically, this centers around an understanding of creation and fall. It is argued that Southgate typically treats soteriology and eschatology as themes pertaining to an evolutionary theodicy, whereas an adequate ecotheology would discuss the problem of natural suffering under the rubric of the narrative of God's economy. The question is then how that story is best told.