政府与世族利益博弈下的南北朝盐业政策变迁

在商品经济不发达的南北朝时期,食盐更突显出其在国家财政与社会经济中的重要地位与突出作用。但由于中央专制集权与世族利益的博弈,南北朝时期各时段的盐业政策不尽相同。南朝由于世族集团的强大和商品经济相对发展,政府实行食盐放任政策;北朝商品经济落后与中央权力相对强大,各朝以实行盐业专卖为主,但由于世族集团对盐业利益的争夺,盐业放任政策时有行之,因此北朝的盐业政策在时收时放中徘徊。南北朝盐业政策的变化与调整,反映出政府与世族在盐业中利益的博弈与双方力量的消长。     

Award for Distinguished Early Career Contributions to the Public Interest: Edward Dunbar.

Recognizes Edward Dunbar, who received the Award for Distinguished Early Career Contributions to the Public Interest, for "his outstanding research focusing on bias-motivated crimes, multicultural research, and the clinical aspects of racism." A citation, biography, and selected bibliography are provided. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

电梯物联网公共利益保护研究

从电梯物联网的受众、性质、安全和资金来源几个方面进行了分析．指出电梯物联网建设中必须突出公益性质．保护乘客的公共利益。在此基础上．初步探讨了在电梯物联网应用公共利益保护的实现方式。     

Experiments with Mixtures: A Review

A review of the literature concerning experiments with mixtures is presented. Beginning with the work of Scheffe in 1958, the review covers approximately twenty papers in near chronological order, the last appearing in October 1971. Although priority in the treatment of designs for mixtures is claimed by Quenouille [27], and while others may argue that the work of Claringbold [6] was the impetus for Scheffé's research, the choice of starting with Scheffé is made because most of the authors of the reviewed papers recognized Scheffé as the person most instrumental in pioneering the work which has appeared over the past fourteen years.     

智能信息Agent的研究和实现

文章全面地介绍了一个采用了多种机器学习技术的智能搜索Agent的实现方法,对智能搜索Agent各部分组成和实现方法进行了具体讨论。     

基于张楚廷先生“五I”课程哲学的高校设计伦理创新教育研究

针对我国高校艺术设计教育中极度商业利益与功利主义思想导致"设计伦理教育"严重缺失及"设计创新教育"瓶颈问题长期存在,通过对艺术设计专业人才教育的"设计之德"与"设计之才"的综合培养进行课程理论的研究,以张楚廷先生的"五I"课程哲学为指导,从课程信息、学生心理、学生天赋、学生思维、教学方法5个方面对设计学课程进行理论归纳。教师以生活化、情感化、人格化的教学方式扩展课程信息;以兴趣化、竞赛化的形式激发学生心理内在驱动力;教师应当保护学生直觉,个性化因材施教;培养学生自觉运用批判性、发散性、跨界性的思维意识寻求设计契机;教师导入以"设计研究方法"为核心的课题设计训练学生走向"善于善"与"善于新"的智慧之路。     

利率市场化与商业银行风险管理的探讨

通过我国当前利率市场化改革现状及利率市场化对商业银行的影响分析,提出了关于商业银行风险管理的对策.     

The volatility of the instantaneous spot interest rate implied by arbitrage pricing—A dynamic Bayesian approach

This paper considers the estimation of the volatility of the instantaneous short interest rate from a new perspective. Rather than using discretely compounded market rates as a proxy for the instantaneous short rate of interest, we derive a relationship between observed LIBOR rates and certain unobserved instantaneous forward rates. We determine the stochastic dynamics for these rates under the risk-neutral measure and propose a filtering estimation algorithm for a time-discretised version of the resulting interest rate dynamics based on dynamic Bayesian updating in order to estimate the volatility function. Our time discretisation can be justified by the fact that data are observed discretely in time. The method is applied to US Treasury rates of various maturities to compute a (posterior) distribution for the parameters of the volatility specification.     

Being bored? Recognising natural interest by extensive audiovisual integration for real-life application

Automatic detection of the level of human interest is of high relevance for many technical applications, such as automatic customer care or tutoring systems. However, the recognition of spontaneous interest in natural conversations independently of the subject remains a challenge. Identification of human affective states relying on single modalities only is often impossible, even for humans, since different modalities contain partially disjunctive cues. Multimodal approaches to human affect recognition generally are shown to boost recognition performance, yet are evaluated in restrictive laboratory settings only. Herein we introduce a fully automatic processing combination of Active–Appearance–Model-based facial expression, vision-based eye-activity estimation, acoustic features, linguistic analysis, non-linguistic vocalisations, and temporal context information in an early feature fusion process. We provide detailed subject-independent results for classification and regression of the Level of Interest using Support-Vector Machines on an audiovisual interest corpus (AVIC) consisting of spontaneous, conversational speech demonstrating “theoretical” effectiveness of the approach. Further, to evaluate the approach with regards to real-life usability a user-study is conducted for proof of “practical” effectiveness.     

精确码率控制JPEG2000感兴趣区域编码

提出一种能精确控制各编码层码率的JPEG2000感兴趣区域编码算法,对整个图像进行统一的JPEG2000编码,分别统计背景、感兴趣区域各自分配到的比特数。利用率失真函数的凸函数特性,在总码率恒定的条件下调整上述两区域分配的比特数,使得感兴趣区域获得优于背景区域的编码质量。该算法中感兴趣区域及其优先级均可动态改变,生成码流与标准完全兼容。