On Dynamic Evolution of Knowledge Management Model Based On Deepening Of Knowledge Intension

With the desire for the progressive deepening of the understanding of knowledge intension, correspondingly, the knowledge management models go through a dynamic evolving process. Each theory model of knowledge management in evolving has promoted the development of knowledge management, but there are also their own limitations at the same time. To overcome these limitations is subject to further deepening people’s understanding of knowledge and its management models

Community programs and women's participation : the Chinese experience

Using household data specifically collected for the purpose of evaluation, the authors empirically evaluate the impact on household income of a rural program in China that focuses on increasing women's economic and social participation in the local community. They find that the program substantially increases women's participation and household income, and also generates positive social benefits. The authors'results also suggest that the income gains accrue only to participants, and partly at the expense of nonparticipants. They find that the magnitude of the program's impact depends sensitively on the program's ability to increase participation rates within villages. In the presence of the program, individual participation helps to prevent negative externalities and to buy into the positive gains accruing to participants. The authors'results support the view that effectively implemented gender-focused interventions can have substantial social benefits when supported by the necessary legal and institutional framework.Decentralization,Primary Education,Public Health Promotion,Health Economics&Finance,Poverty Monitoring&Analysis,Health Economics&Finance,Poverty Monitoring&Analysis,Primary Education,Housing&Human Habitats,Governance Indicators

Ariadne’s Transformation: Presenting Femininity From Roman Poetry to Modern Opera

Ariadne\u27s story is dominated by her relationships with men: Minos, Theseus, and Bacchus. But who is she? Can her personality be examined independently from men? If yes, does she have her own voice in expressing herself? Do we hear her voice? If no, then, how does her personality help construct her story? My analysis will focus on how the Roman poets Catullus and Ovid, the Baroque composer Monteverdi, and the twentieth-century composer Strauss present Ariadne, and how their Ariadnes’ voices are heard. Perhaps she will always be eternal and undying as long as she remains a figure around which discussions of femininity continue. What remains of Ariadne is what we choose to make of her

Sparse Model Identification and Learning for Ultra-high-dimensional Additive Partially Linear Models

The additive partially linear model (APLM) combines the flexibility of nonparametric regression with the parsimony of regression models, and has been widely used as a popular tool in multivariate nonparametric regression to alleviate the "curse of dimensionality". A natural question raised in practice is the choice of structure in the nonparametric part, that is, whether the continuous covariates enter into the model in linear or nonparametric form. In this paper, we present a comprehensive framework for simultaneous sparse model identification and learning for ultra-high-dimensional APLMs where both the linear and nonparametric components are possibly larger than the sample size. We propose a fast and efficient two-stage procedure. In the first stage, we decompose the nonparametric functions into a linear part and a nonlinear part. The nonlinear functions are approximated by constant spline bases, and a triple penalization procedure is proposed to select nonzero components using adaptive group LASSO. In the second stage, we refit data with selected covariates using higher order polynomial splines, and apply spline-backfitted local-linear smoothing to obtain asymptotic normality for the estimators. The procedure is shown to be consistent for model structure identification. It can identify zero, linear, and nonlinear components correctly and efficiently. Inference can be made on both linear coefficients and nonparametric functions. We conduct simulation studies to evaluate the performance of the method and apply the proposed method to a dataset on the Shoot Apical Meristem (SAM) of maize genotypes for illustration

To Develop and Evaluate Children’s Cognitive Development through An AR-Playful-Learning Approach

Augmented Reality (AR) technology have been recognised as an effective experience enhancer with a broad application range. It is challenging to explore such potentials in the area of learning and teaching by utilising AR features in behavioural stimulation and monitoring. In this study, the author aims at exploit AR technology to institute a system for cognitive development. The principle goal of such playful learning system is to improve the overall ability of toddlers to function in social environments through cognition forming and behavioural redirecting. This paper introduces an interactive training game that assists children between two and seven years old to develop their cognitive model through intuitive theory-based educational AR gami cation. A pilot study implements Montessori training theory is described in this paper