论被害人陈述的法律地位

被害人在刑事诉讼中所同时具备的当事人角色与实质证人角色之间的冲突,是所有当事人证据都存在的普遍性问题,并不足以否定被害人陈述作为证据的适格性。由于被害人在公诉案件审判程序中并不具备独立的控诉职能,因此相关之角色紧张在一定程度上得以缓和。在我国刑事证据制度构筑封闭式的证据分类体系的情况下,人证及当事人证据在分类逻辑上的要求,决定了被害人陈述不仅是适格的诉讼证据,而且构成独立的法定证据种类。     

略论东林学派的实学思想体系

实学是儒家学说经世致用思想经过漫长的发展演变形成的对促进社会发展具有积极意义的历史形态。东林学派是晚明时期实学思想的重要代表 ,他们在与王学末流和专权阉党的斗争中 ,先后在教育和学术、道德修养和认识论及治国济世等方面提出了一系列主张和见解 ,形成了一个反对空幻虚无、谈空说玄 ,提倡求真务实、实学实用 ,致力治国济民、经世致用的实学思想体系 ,对明清实学思潮的发展和最终形成起了重要的推动作用 ,在中国实学发展史上占有重要的地位 ,对当时社会和后世都产生了深远而广泛的影响     

The place of informality and illegality in planning education in Nigeria

This paper discusses the extent to which topical planning issues of informality and illegality are incorporated into the educational curricula in Nigerian planning schools. Given the scale and enormity of informal and illegal settlements in Nigeria and other African cities, these issues should be emphasized in the education and training of planning professionals. Yet, few curricula in Nigerian planning schools, including the Nigerian Town Planners Registration Council’s professional curriculum, incorporate informal urban issues. The paper recommends an educational interventionist approach based on recognition of the potential of indigenous knowledge as a means of producing critical and reflective planning graduates who possess the competencies to deal with contemporary settlement challenges. It presents the institutional landscape for planning education and the processes of planning curricular reform and accreditation with a view to revitalizing planning education in Nigeria.     

社区应急疏散动态协作调度优化研究

针对灾民数量和路网通行时间的动态性以及灾民疏散反应系数的随机性,本文提出了社区应急疏散协作调度优化流程,并以疏散灾民数量最大化和疏散成本最小化为目标,构建了社区应急疏散多种运输方式协作调度优化模型,并给出了求解该模型的改进多目标遗传算法。然后,论文使用Tansmodeler模拟社区应急疏散协作调度优化过程,加载疏散灾民动态需求和历史出行时间表,并对模型和算法进行验证。结果表明,该模型和算法可以在有效刻画疏散灾民数量和路网通行时间的基础上,为不同时刻的交通工具配置及疏散路径选取提供决策。     

Spatial Risk Analysis of Power Systems Resilience During Extreme Events

The increased frequency of extreme events in recent years highlights the emerging need for the development of methods that could contribute to the mitigation of the impact of such events on critical infrastructures, as well as boost their resilience against them. This article proposes an online spatial risk analysis capable of providing an indication of the evolving risk of power systems regions subject to extreme events. A Severity Risk Index (SRI) with the support of real‐time monitoring assesses the impact of the extreme events on the power system resilience, with application to the effect of windstorms on transmission networks. The index considers the spatial and temporal evolution of the extreme event, system operating conditions, and the degraded system performance during the event. SRI is based on probabilistic risk by condensing the probability and impact of possible failure scenarios while the event is spatially moving across a power system. Due to the large number of possible failures during an extreme event, a scenario generation and reduction algorithm is applied in order to reduce the computation time. SRI provides the operator with a probabilistic assessment that could lead to effective resilience‐based decisions for risk mitigation. The IEEE 24‐bus Reliability Test System has been used to demonstrate the effectiveness of the proposed online risk analysis, which was embedded in a sequential Monte Carlo simulation for capturing the spatiotemporal effects of extreme events and evaluating the effectiveness of the proposed method.     

Agent‐Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities

In this article, an agent‐based framework to quantify the seismic resilience of an electric power supply system (EPSS) and the community it serves is presented. Within the framework, the loss and restoration of the EPSS power generation and delivery capacity and of the power demand from the served community are used to assess the electric power deficit during the damage absorption and recovery processes. Damage to the components of the EPSS and of the community‐built environment is evaluated using the seismic fragility functions. The restoration of the community electric power demand is evaluated using the seismic recovery functions. However, the postearthquake EPSS recovery process is modeled using an agent‐based model with two agents, the EPSS Operator and the Community Administrator. The resilience of the EPSS–community system is quantified using direct, EPSS‐related, societal, and community‐related indicators. Parametric studies are carried out to quantify the influence of different seismic hazard scenarios, agent characteristics, and power dispatch strategies on the EPSS–community seismic resilience. The use of the agent‐based modeling framework enabled a rational formulation of the postearthquake recovery phase and highlighted the interaction between the EPSS and the community in the recovery process not quantified in resilience models developed to date. Furthermore, it shows that the resilience of different community sectors can be enhanced by different power dispatch strategies. The proposed agent‐based EPSS–community system resilience quantification framework can be used to develop better community and infrastructure system risk governance policies.     

Facilitation and Dialogue as Methods of Reflective Practice in Professional Education

Students may fear sharing their learning in public because classrooms are not traditional places where we teach skills needed for mutual understanding, such as facilitation and dialogue. This is a pedagogical challenge for planning, policy, and design fields because contemporary teaching requires collaboration among participants. We propose that learning to work collaboratively in the classroom has broader relevance for practice because it mirrors the learning that happens in organizations. To address this opportunity, we trained students in facilitation and dialogue. In this article, we discuss the design, implementation, and outcomes of this intervention.     

Integrating risk and performance management in quality management systems for the development of complex bespoke systems (CBSs)

Abstract

Risk and performance management are at the core of complex bespoke systems (CBSs). CBSs are developed to customer–specified requirements in terms of structure, functionality and conformance. This article examines how risk and performance management are integrated as essential systems in the successful development of projects across multi-organizational functions in complex bespoke system (CBS) organizations. The article argues for the development of a quality management system that consists of two sub-processes: quality control and quality development. Using three case studies from engineering companies, we provide evidence and insights of the way change control, quality development and quality performance are developed in innovating business solutions.     

制造系统生产单元碳排放核算模型

制造业是我国国民经济的支柱产业,但也是环境污染物排放的主要来源、能源消耗主体和温室气体排放大户。制造系统高能耗、高物耗、高碳排放的加工过程是造成制造业碳排放量大的重要原因。生产单元作为制造系统的加工的主体,其碳排放量的核算是确定整个制造系统乃至制造业碳排放总量的关键。本文首先对生产单元的原材料、电能、辅助物料及废屑处理所引起的碳排放进行分析,确定生产单元的碳排放源;其次,产品合格率的不同会造成生产单元输入及输出的成品/半成品数量的差异,进而影响生产单元单位产品的碳排放量,在此基础上,综合考虑了原材料、电能、辅助物料及废屑处理的碳排放情况,构建了给定工艺流程下生产单元碳排放核算模型。最后,结合一汽车排气装置加工实例,分别核算加工过程中九个生产单元的碳排放量,验证了模型的可行性。     

投资者法律保护、产品市场竞争与现金股利支付力度——来自中国制造业上市公司的经验证据

在股利代理理论的框架下,实证检验了投资者法律保护、产品市场竞争与企业现金股利支付力度的关系,以及在不同投资者法律保护水平(包括法律制度和法制环境)下,产品市场竞争对企业现金股利支付力度的影响.研究发现,在其他条件一定的情况下,投资者法律保护水平、产品市场竞争程度与公司现金股利支付力度呈显著正相关关系;当法律保护水平较低时,产品市场竞争对公司现金股利支付力度的影响更显著.研究结论进一步说明了在法律保护水平较低时,激烈的产品市场竞争可以弥补法律保护的不足,保护投资者的利益.