聚类分析法在高职院校订单式培养学生综合素质评价中的应用

订单式”人才培养模式的建立为高职教育教学改革注入了新的活力。但是，由高职院校因为缺乏有效的培养过程控制与竞争机制，也出现了影响该模式的良性循环和可持续发展的诸多问题。鉴于此，应尽快完善“订单式”人才培养模式中的过程控制与考核机制，建立一套科学、完备的考核指标体系是当务之急。对于订单式培养学生的综合素质评估结果，可以通过相关聚类分析方法，对订单班学生综合素质评估结果进行科学合理的分类，建立完善订单班学生能进能出、滚动淘汰的动态管理模式，达到订单式培养不仅“定数量”，更注重“定质量”的理想状态。     

Assessment of Catastrophic Risk Using Bayesian Network Constructed from Domain Knowledge and Spatial Data

Prediction of natural disasters and their consequences is difficult due to the uncertainties and complexity of multiple related factors. This article explores the use of domain knowledge and spatial data to construct a Bayesian network (BN) that facilitates the integration of multiple factors and quantification of uncertainties within a consistent system for assessment of catastrophic risk. A BN is chosen due to its advantages such as merging multiple source data and domain knowledge in a consistent system, learning from the data set, inference with missing data, and support of decision making. A key advantage of our methodology is the combination of domain knowledge and learning from the data to construct a robust network. To improve the assessment, we employ spatial data analysis and data mining to extend the training data set, select risk factors, and fine‐tune the network. Another major advantage of our methodology is the integration of an optimal discretizer, informative feature selector, learners, search strategies for local topologies, and Bayesian model averaging. These techniques all contribute to a robust prediction of risk probability of natural disasters. In the flood disaster's study, our methodology achieved a better probability of detection of high risk, a better precision, and a better ROC area compared with other methods, using both cross‐validation and prediction of catastrophic risk based on historic data. Our results suggest that BN is a good alternative for risk assessment and as a decision tool in the management of catastrophic risk.     

Bayesian discrete latent spatial modeling of crack initiation in orthopaedic hip replacement bone cement

In this paper, we propose a spatial model for the initiation of cracks in the bone cement of hip replacement specimens. The failure of hip replacements can be attributed mainly to damage accumulation, consisting of crack initiation and growth, occurring in the cement mantle that interlocks the hip prosthesis and the femur bone. Since crack initiation is an important factor in determining the lifetime of a replacement, the understanding of the reasons for crack initiation is vital in attempting to prolong the life of the hip replacement. The data consist of crack location coordinates from five laboratory experimental models, together with stress measurements. It is known that stress plays a major role in the initiation of cracks, and it is also known that other unmeasurable factors such as air bubbles (pores) in the cement mantle are also influential. We propose an identity-link spatial Poisson regression model for the counts of cracks in discrete regions of the cement, incorporating both the measured (stress), and through a latent process, any unmeasured factors (possibly pores) that may be influential. All analysis is carried out in a Bayesian framework, allowing for the inclusion of prior information obtained from engineers, and parameter estimation for the model is done via Markov chain Monte Carlo techniques.     

Generic charisma - Conceptualization and measurement

In these times, when fame is available to almost anyone, it is worth being able to measure the extent and dimensions of a person's charisma. Most of the research on charisma to date is restricted to the area of leadership. In this article, however, charisma is generalized to take in all human beings and is conceptualized as a multi-dimensional cognitive-affective phenomenon. The article presents a pilot study aimed at providing an adequate operational definition of the construct as well as an initial tool for its measurement. A following literature review shows how authors have developed the concept of charisma and its initial operational dimensions for empirical research. A questionnaire is developed in three stages. The factor analyses applied in stages two and three point towards a six-factor solution (i.e. six dimensions of charisma). Further analysis reveals that the developed instrument is reliable and viable as well as applicable for future theoretical and practical work.     

石油企业自主创新联盟的影响因素分析

资源及能力的有限性使得企业在自主创新过程中将面临巨大的风险,而自主创新联盟有助于企业通过知识、技术等资源的互补实现关键技术的突破,以达到共赢。故以石油企业为例,在定性分析的基础上,提出影响石油企业自主创新联盟的主要因素,通过因子分析及信度检验,认为利益、风险、伙伴关系、行业环境及潜在能力是影响石油企业自主创新联盟的主要因素。     

对应分析统计检验体系探讨

对应分析因其结果的易读性，近些年得到了越来越广泛的应用。为了更好地应用对应分析，提出建立对应分析统计检验体系，包括对应分析适用性的统计检验以及对应分析效果的检验，同时还提出应用对应分析时应注意的其它问题。     

A Quality Risk Management Model Approach for Cell Therapy Manufacturing

International regulatory authorities view risk management as an essential production need for the development of innovative, somatic cell‐based therapies in regenerative medicine. The available risk management guidelines, however, provide little guidance on specific risk analysis approaches and procedures applicable in clinical cell therapy manufacturing. This raises a number of problems. Cell manufacturing is a poorly automated process, prone to operator‐introduced variations, and affected by heterogeneity of the processed organs/tissues and lot‐dependent variability of reagent (e.g., collagenase) efficiency. In this study, the principal challenges faced in a cell‐based product manufacturing context (i.e., high dependence on human intervention and absence of reference standards for acceptable risk levels) are identified and addressed, and a risk management model approach applicable to manufacturing of cells for clinical use is described for the first time. The use of the heuristic and pseudo‐quantitative failure mode and effect analysis/failure mode and critical effect analysis risk analysis technique associated with direct estimation of severity, occurrence, and detection is, in this specific context, as effective as, but more efficient than, the analytic hierarchy process. Moreover, a severity/occurrence matrix and Pareto analysis can be successfully adopted to identify priority failure modes on which to act to mitigate risks. The application of this approach to clinical cell therapy manufacturing in regenerative medicine is also discussed.     

李正学《毛宗岗小说批评研究》评析

对李正学的《毛宗岗小说批评研究》进行了较为深刻的评析,认为李正学的这部论著将理论性与思辨性贯穿全书始终,在动态中彰显了作者历史意识的通识观,并从现代学术的视野指出毛氏理论的不足,在当代毛评研究中可谓别具一格,独具机抒。     

基于企业视角下校企合作现状分析

校企合作促进了学生实践能力的提高，也缓解了学校的资金紧张问题。本文从企业的角度出发，总结了校企合作对企业发展的意义，分析了在校企合作中企业态度消极的原因，提出了解决校企合作问题的措施，希望能够促进校企合作的长远发展。     

Who by Accident? The Social Morphology of Car Accidents

Prior studies in the sociology of accidents have shown that different social groups have different rates of accident involvement. This study extends those studies by implementing Bourdieu's relational perspective of social space to systematically explore the homology between drivers’ social characteristics and their involvement in specific types of motor vehicle accident. Using a large database that merges official Israeli road‐accident records with socioeconomic data from two censuses, this research maps the social order of road accidents through multiple correspondence analysis. Extending prior studies, the results show that different social groups indeed tend to be involved in motor vehicle accidents of different types and severity. For example, we find that drivers from low socioeconomic backgrounds are overinvolved in severe accidents with fatal outcomes. The new findings reported here shed light on the social regularity of road accidents and expose new facets in the social organization of death.