循证医学的认识论探究

循证医学的兴起被认为是医学界重要的现代化运动,其哲学基础却一直倍受质疑。回顾了循证医学概念的发展和基本假设,整理了从认识论视角质疑循证医学的若干观点,着重介绍循证医学倡导者对循证医学认识论的基本看法,包括证据和知识的关系,观察到的、可观察的和不可观察的事实间的关系,正确地进行观察,指出循证医学不是全新的医学证据产生与运用理论,而是对多种科学推理规则的综合运用。循证医学是应客观需要而产生,因争议而不断自我完善,实现其迅速发展。     

瑶医学风病与风药的学术内涵

瑶医药历史悠久,作为民族医药的重要组成部分,为保障瑶族人民的健康发挥了重大作用。经过对瑶医药知识的挖掘和总结,瑶医药已经得到系统化的整理,通过汲取瑶医药理论中的特色养分,有利于加深对瑶医药的认识。瑶医学借鉴中医学理论有关对“风”的论说,结合长期的医疗实践,发展了“百病因风”病因说、“七十二风病说”和“七十二风药说”,对“风”的理解有一定的特色,对其内涵进行总结和解读,有助于促进中医药和瑶医药的交流,为充分发挥民族医药的特色并指导临床提供有价值的参考。     

叙事医学反思性写作对共同决策价值探析

以叙事医学工具反思性写作为切入点,首先从医方、患方及外部环境三个角度分析了当前医患共同决策所面临的临床实践困境,其次在对反思性写作概念、实践特点概述的基础上,提出了叙事能力对临床工作的重要性、叙事医学伦理对决策困境的作用,最后从促使医方自我反思,避免引导式决策及权威主义;弥合医患视阈差异,达成决策共识;阐明并澄清患者偏好及价值观,促进个体化共同决策;提高患者参与决策意愿,调动参与决策积极性;缓和医患关系,实现医患共情,促进共同决策良性互动五个方面阐述了反思性写作对医患共同决策困境的助力作用。

     

媒体多任务的效用：听觉信息干扰和视听信息整合的实验证据

采用心理旋转范式和词汇判断范式,探讨媒体多任务经验不同者在听觉信息干扰和视听信息整合情境下对图形一致性和真假词的判断表现。结果发现：（1）以判断图形一致性为实验任务,在无声和低音干扰条件下,低经验组的正确率均显著高于高经验组,两组的反应时差异均不显著;在高音干扰条件下,高经验组的反应时显著短于低经验组,正确率则没有显著差异。（2）以真假词判断为实验任务,对真词进行判断,在三种听觉条件下,高经验组在语音匹配条件下的反应时最短,与低经验组无显著差异,但正确率显著高于低经验组,与另两种听觉条件没有显著差异;低经验组在语音匹配条件下的反应时显著长于另两种听觉条件,正确率则显著高于无声条件,与不匹配条件差异不显著。对假词的判断,低经验组在三种听觉条件下的反应时均显著短于高经验组,正确率与高经验组均无显著差异。研究表明,媒体多任务经验丰富者相比经验缺乏者受到任务无关的纯短高音干扰的影响要小,在需要视听通道语义整合的加工中具有一定的优势。     

科学发展观与生态医学模式

分析了生物医学模式没有转型为生物心理社会医学模式的原因。认为生态危机背景下的医学发展模式研究,应把提高人的生命质量和改善人的生存、生活环境等相关条件,纳入视野之中,这正表现出生态医学模式的价值基础与科学发展观在根本上的一致性。以生态医学模式引领未来医学发展是实践科学发展观的必然要求和具体行动。     

Bunched sequential information

It is known that the logic BI of bunched implications is a logic of resources. Many studies have reported on the applications of BI to computer science. In this paper, an extension BIS of BI by adding a sequence modal operator is introduced and studied in order to formalize more fine-grained resource-sensitive reasoning. By the sequence modal operator of BIS, we can appropriately express “sequential information” in resource-sensitive reasoning. A Gentzen-type sequent calculus SBIS for BIS is introduced, and the cut-elimination and decidability theorems for SBIS are proved. An extension of the Grothendieck topological semantics for BI is introduced for BIS, and the completeness theorem with respect to this semantics is proved. The cut-elimination, decidability and completeness theorems for SBIS and BIS are proved using some theorems for embedding BIS into BI.     

Spread of Risk Information Through Microblogs: Twitter Users with More Mutual Connections Relay News That is More Dreadful1

In elucidating the spread of risk information through microblogging, it is important to understand the behaviors of numerous average users, in addition to the activities of authorities. We followed the transmission pathways of 10 actual widely spread tweets concerning several risk information topics, including natural disasters, nuclear disasters, and infectious diseases, and we identified the types of risk that affected retweeting by classifying each tweet based on Slovic's risk-perception model. Furthermore, we examined the types of users who did and did not retweet the information. Users with few connections in the form of followers (i.e., people who are following a user) or followees (people a user is following), or with a low ratio of mutual followers within their connections, had a tendency to retweet a large amount of risk information, regardless of the type of risk involved. On the other hand, users with a high ratio of mutual followers exhibited a greater tendency to retweet risk information when it was perceived as dreadful, though they did not retweet risk information much on the whole. These results suggest that there are two mechanisms by which risk information is spread within the Twitter network: information exchange and social sharing of personal reactions.     

A note on computing Louis’ observed information matrix identity for IRT and cognitive diagnostic models

Using Louis’ formula, it is possible to obtain the observed information matrix and the corresponding large-sample standard error estimates after the expectation–maximization (EM) algorithm has converged. However, Louis’ formula is commonly de-emphasized due to its relatively complex integration representation, particularly when studying latent variable models. This paper provides a holistic overview that demonstrates how Louis’ formula can be applied efficiently to item response theory (IRT) models and other popular latent variable models, such as cognitive diagnostic models (CDMs). After presenting the algebraic components required for Louis’ formula, two real data analyses, with accompanying numerical illustrations, are presented. Next, a Monte Carlo simulation is presented to compare the computational efficiency of Louis’ formula with previously existing methods. Results from these presentations suggest that Louis’ formula should be adopted as a standard method when computing the observed information matrix for IRT models and CDMs fitted with the EM algorithm due to its computational efficiency and flexibility.     

The effects of exposure to political and domestic violence on preschool children and their mothers

The purpose of this study was to examine the effects of exposure to political violence on preschool children and their mothers. We explored whether these dyads are different from dyads with no known history of exposure to violence and from mother–child dyads with known exposure to domestic violence. Specifically, we explored differences in mothers' psychological status (depression and anxiety), dyadic emotional availability (EA), children's social information processing, and children's social behaviour, in a sample of 216 dyads divided into three groups (exposure to political violence, no exposure to violence, and exposure to domestic violence). We found evidence to support our hypotheses that children exposed to domestic violence exhibit the highest levels of social maladjustment with smaller but still significant differences between children exposed to political violence and children in the comparison group. As expected, the lowest EA scores were found in the exposure to domestic violence group, followed by dyads in the exposure to political violence group. Dyads belonging to the comparison group (no exposure) exhibited the highest levels of EA. These findings contribute to our understanding of the meaning of exposure to political violence, as well as sharpen the difference between exposure to political and domestic violence.