股权众筹是否真的那么美--基于美国制度缺陷的再思考

股权众筹作为初创企业采用的一种利用互联网向大众募集小额资本的融资方式，以“脱媒式”对接投融资双方的优势，利用互联网的人群聚集与信息广泛传播效应，降低投融资方之间沟通成本，有助于投融资意向的快速达成。2012年美国JOBS法案的高调出台，吸引了全球范围内的广泛关注。但股权众筹制度在美国已受到诸多批判，除信息披露要求弱化引发的欺诈风险增加外，在注重前端融资效率的同时却忽略了投资端的设计和保护，尤其是众筹股权的流通和退出问题等。美国立法与实践领域对于这些问题尚未取得彻底的突破。股权众筹以美国模式为样板引入中国，在遭遇中国固有法律体系及制度的困扰后，中国股权众筹实践陷入更多困境。通过对美国相关制度出台的背景及存在的不足进行分析，对照中国实践，锁定实践中产生的新问题，并深入探讨现有解决路径能否真正缓解这些不足，以期对股权众筹制度重新进行明确的定位。     

Simultaneous Confidence Intervals for the Population Cell Means,for Two-by-Two Factorial Data,that Utilize Uncertain Prior Information

Consider a two-by-two factorial experiment with more than one replicate. Suppose that we have uncertain prior information that the two-factor interaction is zero. We describe new simultaneous frequentist confidence intervals for the four population cell means, with simultaneous confidence coefficient 1 ? α, that utilize this prior information in the following sense. These simultaneous confidence intervals define a cube with expected volume that (a) is relatively small when the two-factor interaction is zero and (b) has maximum value that is not too large. Also, these intervals coincide with the standard simultaneous confidence intervals obtained by Tukey’s method, with simultaneous confidence coefficient 1 ? α, when the data strongly contradict the prior information that the two-factor interaction is zero. We illustrate the application of these new simultaneous confidence intervals to a real data set.     

信息共享空间的构建与创新服务——以河北工程大学图书馆为例

信息共享空间是近几年发展起来的一种新生事物，给传统的图书馆服务模式带来了严峻的挑战，以河北工程大学图书馆信息共享空间建设为例，分析了实体层和虚拟层两个层面建设的内容，介绍了信息共享空间的创新服务，并就信息共享空间的深层次服务提出了对策建议。     

汉语古诗词中缺省现象的认知解读和翻译策略

汉语古诗词往往通过设置空白激发丰富的言外之意。从认知的角度看,这些空白是诗人考虑到与读者共享一些知识而留在文中的缺省信息,也是读者在阅读过程中所激活的认知结构的空位,他们必须调用认知结构的默认信息(包括框架的默认值、脚本的隐含序列、隐含的隐喻源域或目标域、隐含的转喻次域或主域)填补空白才能获取其中的言外之意。在翻译过程中,译者须考虑到译入语读者的认知知识和文化传播的目的,采取明示或保留缺省信息的翻译方法,也就是认知默认值的显译或隐译策略。     

提高辅导员工作信息化实践探索

本文在分析辅导员信息素养基础上,对提高辅导员工作信息化进行实践探索。     

Multilevel maximum likelihood estimation with application to covariance matrices

The asymptotic variance of the maximum likelihood estimate is proved to decrease when the maximization is restricted to a subspace that contains the true parameter value. Maximum likelihood estimation allows a systematic fitting of covariance models to the sample, which is important in data assimilation. The hierarchical maximum likelihood approach is applied to the spectral diagonal covariance model with different parameterizations of eigenvalue decay, and to the sparse inverse covariance model with specified parameter values on different sets of nonzero entries. It is shown computationally that using smaller sets of parameters can decrease the sampling noise in high dimension substantially.     

New calibration estimator based on two auxiliary variables in stratified sampling

In recent years, calibration estimation has become an important field of research in survey sampling. This paper proposes a new calibration estimator for the population mean in the presence of two auxiliary variables in stratified sampling. The theory of new calibration estimator is given and optimum calibration weights are derived. A simulation study is carried out to performance of the proposed calibration estimator over other existing calibration estimators. The results reveal that the proposed calibration estimators are more efficient than other existing calibration estimators in stratified sampling.     

网络购物中的社会诚信问题研究——基于不完美信息动态博弈理论

将一次网络交易抽象为不完美信息动态博弈模型，通过对买卖双方博弈行为的分析，得出网络交易纠纷频发的原因。并通过对模型进一步扩展，分析当前网络交易规则存在的缺陷，针对其中的问题，提出提高市场效率的建议。     

Exploring gaps in the online economic inclusion of persons with disabilities in Korea

ABSTRACT

This paper explores the difference in the online economic activities of people with and without disabilities in Korea. We conducted a multiple regression analysis to investigate the impact of socioeconomic characteristics, internet access, and internet skills on online economic activities. Our sample, based on a 2016 dataset that included 1554 people with disabilities and 6004 people without disabilities, was developed using quota sampling based on gender, age, and residence. We determined that individuals with disabilities were more likely to engage in online economic activities if they had higher levels of education, lived in urban areas, were employed, or had greater internet skills. Individuals without disabilities were more likely to engage in online economic activities if they were women, had higher levels of education, were employed, lived in a two-generation or more household, or had greater internet skills. For both people with and without disabilities, the level of education, employment status, and internet skills positively contribute to online economic activites. We also determined that education level, participation in economic activity, living in a two-generation or more household, and internet skills had a statistically significant influence on online economic activity for people both with and without disabilities. These results highlight the importance of education and internet training for people with disabilities, as well as social support systems that help them learn to use the internet in diverse ways through both formal and informal networks. The study also underscores the importance of information and communications technology that adequately addresses people’s needs.     

Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing,Decision Making,and Liking in an Eye‐Tracking Study

Researchers recommend the use of pictographs in medical risk communication to improve people's risk comprehension and decision making. However, it is not yet clear whether the iconicity used in pictographs to convey risk information influences individuals’ information processing and comprehension. In an eye‐tracking experiment with participants from the general population (N = 188), we examined whether specific types of pictograph icons influence the processing strategy viewers use to extract numerical information. In addition, we examined the effect of iconicity and numeracy on probability estimation, recall, and icon liking. This experiment used a 2 (iconicity: blocks vs. restroom icons) × 2 (scenario: medical vs. nonmedical) between‐subject design. Numeracy had a significant effect on information processing strategy, but we found no effect of iconicity or scenario. Results indicated that both icon types enabled high and low numerates to use their default way of processing and extracting the gist of the message from the pictorial risk communication format: high numerates counted icons, whereas low numerates used large‐area processing. There was no effect of iconicity in the probability estimation. However, people who saw restroom icons had a higher probability of correctly recalling the exact risk level. Iconicity had no effect on icon liking. Although the effects are small, our findings suggest that person‐like restroom icons in pictographs seem to have some advantages for risk communication. Specifically, in nonpersonalized prevention brochures, person‐like restroom icons may maintain reader motivation for processing the risk information.