浅析地方公共图书馆存在的问题及对策

目前,一些地方公共图书馆落后的组织结构、管理方式以及淡薄的服务意识,已远远不能适应当前社会的需要。针对地方公共图书馆存在的问题,提出一系列改进措施,旨在使地方图书馆更好地为社会公众服务。     

多媒体网络技术的发展与教学模式的改革

多媒体及网络技术在教学中能有效地提高学生的学习效率,使学生能够采取主动学习,实现创造性学习的目标,并使教学信息双向化,取得更好的学习效果。     

我国网络游戏产业及其盈利新模式初探

介绍了我国网络游戏产业的现状,分析了网络游戏产业的关键因素,对网络游戏产业盈利新模式进行了探讨。     

经济学视角下新闻保护调整模式析论

政府直接管制与基于市场的经济手段在新闻公共政策的调整领域都有其有利的地位,新闻政策的关键在于寻找市场调节与政府直接干预的均衡点,以达到新闻保护与经济发展协调的目的。从外部性、公共产品、信息不对称三个方面从"市场失灵"的角度分析新闻保护问题的法律调整模式,解决新闻领域的问题需要"看的见的手"和"看不见的手"兼而有之。     

高职院校导游业务课程新教学新模式的探讨——以浙江长征职业技术学院旅游俱乐部为例

本文分析了当前高职院校导游业务课程教学中存在的问题,进而探讨导游业务课程教学中改变传统的教学模式的重要性,最后讨论浙江长征职业技术学院的旅游俱乐部模式的运作,通过旅游俱乐部的活动来提高旅游管理专业学生的导游业务技能。     

简析南京临时政府的政权形态

鍗椾含涓存椂鏀垮簻鍦ㄤ腑鍥界涓€娆″缓鏋勪簡姘戜富鍏卞拰鍒跺害,瀵硅タ鏂规皯涓诲叡鍜屽埗搴﹀湪涓浗鐨勮瘯琛屼綔浜嗘湁鐩婄殑鎺㈢储,浣嗗叾鏀挎潈褰㈡€佸苟涓嶅畬澶?鎬荤粺鏉冨姏杩囧ぇ,鍙傝闄㈡病鏈夊脊鍔炬潈,鍙告硶鏉冧篃灏氶』寤虹珛涓庣嫭绔?鍦ㄥ疄闄呰繍琛屼笂,鏀垮簻涓庡弬璁櫌鏈兘浜掔浉鍗忚皟,浠ユ敹鎸囪噦涔嬫晥,琛屾斂鏉冩姂鍘嬬珛娉曟潈,鑰屽弬璁憳鍒?鐙冧簬涓夋潈鍒嗙珛涔嬭,濂芥寔寮傝",鏉熺細鐫€鏀垮簻鐨勮繍琛?     

Forecasting volatility by means of threshold models

The aim of this paper is to compare the forecasting performance of competing threshold models, in order to capture the asymmetric effect in the volatility. We focus on examining the relative out‐of‐sample forecasting ability of the SETAR‐Threshold GARCH (SETAR‐TGARCH) and the SETAR‐Threshold Stochastic Volatility (SETAR‐THSV) models compared to the GARCH model and Stochastic Volatility (SV) model. However, the main problem in evaluating the predictive ability of volatility models is that the ‘true’ underlying volatility process is not observable and thus a proxy must be defined for the unobservable volatility. For the class of nonlinear state space models (SETAR‐THSV and SV), a modified version of the SIR algorithm has been used to estimate the unknown parameters. The forecasting performance of competing models has been compared for two return time series: IBEX 35 and S&P 500. We explore whether the increase in the complexity of the model implies that its forecasting ability improves. Copyright © 2007 John Wiley & Sons, Ltd.     

Weight measurement using image-based pose analysis

Image-based gait analysis as a means of biometric identification has attracted much research attention. Most of the existing methods focus on human identification, posture analysis and movement tracking. There have been few investigations on measuring the carried load based on the carrier＇s gait characteristics by automatic image processing. Nevertheless, this measurement is very useful in a number of applications, such as the study of the carried load on the postural development of children and adolescence. In this paper, we investigate how to automatically estimate the carried weight from a sequence of images. We present a method to extract human gait silhouette based on an observation that humans tend to minimize the energy during motion. We compute several angles of body leaning and determine the relationship of the carried weight, the leaning angles and the centroid location according to a human kinetic study. Our weight determination method has been verified successfully by experiments.     

学年学分制模式下的高校学生工作探索

我国目前大多数高校采用学年学分制,与学年制和完全学分制不同,它以学分为计量单位,按学年或学期作为结算时段确定学生的降级和退学标准,有相对固定的修业年限。文章对该模式下的学生工作进行初步探讨,提出了进一步完善辅导员制度、加强班集体建设等系列措施。     

Perceptual learning of dot pattern

Dot pattern is a type of pattern defined by specific spatial relationship among some dots. As a compensation for concrete and meaningful visual stimuli, meaningless dot pattern can be used as stimuli in learning tasks. We performed an experiment for exploring the perceptual learning process of dot pattern against random-dot background. Participants were required to learn two types of dot patterns (9-dot and 11-dot). They were assigned to two groups: participants in Group 1 learned 9-dot pattern first and 11-dot pattern later, while those in Group 2 learned 11-dot pattern first and 9-dot pattern later. The results showed that participants could acquire the spatial relationship of dot pattern through perceptual learning in relatively short learning time. In comparison with 9-dot pattern, learning time of 11-dot pattern was slightly longer and its accuracy rate lower, but there was significant positive transfer effect from 11-dot pattern learning to 9-dot learning.