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初中生所处的时期既是"黄金期"又是"危险期",对他们的教育更显得重要。然而家长最了解,也最容易影响孩子;孩子很依赖父母,也就最容易接受父母的教育;家庭教育又是人生所受的第一个教育,也具有其它教育无法比拟的优势,所以家长要意识到家庭教育环境的重要性、提高自身素质、掌握初中生的身心特点、为他们营造良好的家庭教育环境,进而更好地配合学校及社会对他们的教育。  相似文献   
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Family businesses are publicly believed to be highly innovative and to be the “Hidden Champions” of the German industry. In recent times scholars have begun to examine this thesis and have come to starkly opposing results. On the one hand family businesses are attested to have a special ?entrepreneurial “spirit” which makes them highly innovative. On the other hand the lack of separation of ownership and control and insufficient diversification of family-investors are said to lead to less innovation activity. In this study we investigate the innovation activity of 384 German manufacturing firms differing in legal structure, size, age, industry, and—most importantly—in the degree of family ownership, family management and family control. The results of our analysis reveals differentiated results. Fundamentally, family ownership and family management are detrimental to firm innovation, at the same time family control has a positive impact on innovation activities. Our Results point to the fact that owner-managed businesses tend to innovate less due to risk aversion while a focus on controlling instead of managing a corporation by the owning family lead to an increase in innovations.  相似文献   
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Many digital human models provide the crucial method to calculate postures in virtual environments. Traditionally these methods refer to experiments and make use of statistical modeling. They provide sufficient results in their specialized domain, but cannot be used in general applications. In addition they do not consider important design aspects as forces and discomfort. Hence a new force based approach has been introduced in order to overcome these shortcomings. Based on biomechanical models of active maximal and passive receding joint torques, a mechanical optimization generates static stable postures and related discomfort ratings. The results were promising, but showed some model deficiencies and were not validated in detail. The present paper continues this work and provides necessary model enhancements. Finally the new prediction models are validated on real experiments. The validation results are presented and discussed regarding to usability aspects and future development work.  相似文献   
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