生态系统理论视角下“学困生”转化策略

近年来“学困生”转化引起了教育部门的重视。但是在具体的工作之中依然存在对“学困生”认识不全面,转化工作中忽视环境对“学困生”的影响,缺乏对“学困生”动态研究等问题。生态系统理论则对“学困生”转化给予很大启示。为了有效地转化“学困生”,可以从以下几点做起：从家庭、学校入手,营造良好的微系统环境;建立良好的师生关系、亲子关系等,构建和谐的中系统环境;努力避免外系统和宏系统的不良环境因素对“学困生”的消极影响。     

中国古代的水煮方便食品:棋子面与挂面

棋子面最早出现于《齐民要术》,是一种状如棋子、蒸熟以备不时水煮食用的方便食品。唐宋元明各代多作为军食,其烹熟方式也衍生出炒、油煎等,后世又作为幼儿方便食品。近代的"棋子面"则多了一种擀切为菱形的面片。"挂面"一词始出《饮膳正要》,但在唐代敦煌文献中即有"须面"称谓,元代文献也称之为"索面"。是一种水煮方便条状粉食。     

Fragmented spaces in the urban landscape: A socio-spatial analysis of educational supply in the city of Madrid

The geography of school choice critically shapes families’ educational opportunities. Residential segregation, social inequalities and the educational marketplace interact in complex ways and produce spatialised educational opportunities for families. This paper analyses the link between these dimensions and how they structure families’ educational opportunities in the city of Madrid. Based on several administrative datasets that capture students’ residential location, their socio-economic position, the schools they attend and the characteristics of school supply, our analysis reveals the uneven spatial distribution of the different school modalities in Madrid, where advantaged families and neighbourhoods have more diversified and socio-economically homogenous nearby schooling options. The results also depict the way the city is spatially divided along a continuum of ‘privileged’ residential and educational assets. The paper reflects on how reforms expanding school choice and diversification of the educational market undertaken by the regional government may have increased the link between residential and school segregation.     

Lyapunov-based design of locally collocated controllers for semi-linear parabolic PDE systems

The design problem of collocated feedback controllers is addressed in this paper for a class of semi-linear distributed parameter systems described by parabolic partial differential equation (PDE), where a finite number of local actuators and sensors are intermittently distributed in space. A Lyapunov direct method for the exponential stability analysis of the resulting closed-loop system is first presented for the system, in which the first mean value theorem for integration and the Wirtinger's inequality are employed. The corresponding stabilization condition is then derived through the analysis result. Finally, the proposed design method is implemented on the feedback control of a fisher equation and its effectiveness is evaluated through simulation results.     

Creativity and regional innovation: Evidence from EU regions

We analyse the role of creative workers in the region as a source and foundational element of regional innovation in the European Union. We show the empirical relevance of this factor – which we label inspiration – within the structure of a recursive model of regional innovation for a set of 83 European regions. We show that, when differentiated from the presence of regional intelligence – as measured by the availability of human capital – and from technological infrastructure, inspiration, along with the degree of development of national and regional institutions, has the strongest direct and indirect effects on regional patenting activity.     

Narrative research in climate change adaptation—Exploring a complementary paradigm for research and governance

Climate adaptation research increasingly focuses on the socio-cultural dimensions of change. In this context, narrative research is often seen as a qualitative social science method used to frame adaptation communication. However, this perspective neglects an important insight provided by narrative theory as applied in the cognitive sciences and other practical fields: human cognition is organized around specific narrative structures. In adaptation, this means that how we ‘story’ the environment determines how we understand and practice adaptation, how risks are defined, who is authorized as actors in the change debate, and the range of policy options considered. Furthermore, relating an experience through story-telling is already doing ‘knowledge work’, or learning. In taking narrative beyond its use as an extractive social research methodology, we argue that narrative research offers an innovative, holistic approach to a better understanding of socio-ecological systems and the improved, participatory design of local adaptation policies. Beyond producing data on local knowledge(s) and socio-cultural and affective-emotive factors influencing adaptive capacity, it can significantly inform public engagement, deliberation and learning strategies–features of systemic adaptive governance. We critically discuss narrative as both a self-reflective methodology and as a paradigmatic shift in future adaptation research and practice. We explore the narrative approach as a basis for participatory learning in the governance of socio-ecological systems. Finally, we assemble arguments for investing in alternative governance approaches consistent with a shift to a ‘narrative paradigm’.     

Creating value in ecosystems: Crossing the chasm between knowledge and business ecosystems

Policy makers take initiatives to stimulate knowledge ecosystems in technology hotspots. It is implicitly assumed that these ecosystems will lead to value networks through which the participating companies can realize a competitive advantage. Value networks refer to business ecosystems where the value proposition is offered by a group of companies which are mutually complementary. The strategy literature suggests that business ecosystems lead to competitive advantages for each of the partners in the ecosystem. Based on a unique hand-collected database of 138 innovative start-ups in the region of Flanders, we analyze the knowledge and business ecosystem and the financial support network. We find that the knowledge ecosystem is well structured and concentrated around a number of central actors while the business ecosystem is almost non-existent at the local level. Further, we find that the financial support network is almost 100% publicly backed and fails to bridge the knowledge and business ecosystem. The implications for policy makers who tend to focus on the development of local ecosystems are discussed.     

Real time exploration and management of large medical volumetric datasets on small mobile devices—Evaluation of remote volume rendering approach

In this paper I present the architecture of system that can be used for real time exploration and management of large medical volumetric datasets. The new state of the art solution presented in this paper is an example of visual data management system. System prototype evaluation proved that it is possible to use low-powered (and cheap) up-to-date mobile devices with programmable GPUs as the remote interfaces for exploration of large volumetric medical data. The implementation was done with high-level programming language that enables portability between different hardware models. The lack of lossy compression enables to display high quality medical images visualizations without any simplifications and noises in frequency domain. The prototype of system is capable to remotely render and send to a client (for example cell phone or tablet) rendered data with frequency 30 fps with limited resolution during interaction. One second after the interaction is finished client machine receives full resolution image. The evaluation of the system was performed on volumetric computed tomography angiography image with approximate size 512³ voxels.     

Knowledge flows and bases in emerging economy innovation systems: Brazilian research 2005–2009

This article considers the role of domestic knowledge capabilities for developing countries and emerging economies, and in particular in the build-up of their national systems of innovation. Using bibliometric methods, we describe the geographic sources of knowledge and the users of Brazilian research in 2005–2009, and analyze the roles of domestic and foreign knowledge bases in it. Our results suggest that increasing reliance on domestic sources of knowledge is a feature of Brazil's improved science and technology capabilities. The ascendancy of Brazil's research informs us about the unfolding re-organization of global research, too, underlining nascent South-South knowledge flows, the prevailing relevance of EU research, and the relative decline of US research for Brazilian knowledge creation.     

Adaptive output feedback neural network control of uncertain non-affine systems with unknown control direction

This paper deals with the problem of adaptive output feedback neural network controller design for a SISO non-affine nonlinear system. Since in practice all system states are not available in output measurement, an observer is designed to estimate these states. In comparison with the existing approaches, the current method does not require any information about the sign of control gain. In order to handle the unknown sign of the control direction, the Nussbaum-type function is utilized. In order to approximate the unknown nonlinear function, neural network is firstly exploited, and then to compensate the approximation error and external disturbance a robustifying term is employed. The proposed controller is designed based on strict-positive-real (SPR) Lyapunov stability theory to ensure the asymptotic stability of the closed-loop system. Finally, two simulation studies are presented to demonstrate the effectiveness of the developed scheme.