核技术应用企业研发骨干激励机制探究

核技术应用一般是指射线技术与射线装置在医疗、工农业、地质调查、研究与教育中的应用。我国核技术应用企业研发骨干激励存在着激励的创新导向不足、薪酬激励机制不合理、组织文化有欠缺等问题,需结合行业特点及核技术应用企业研发骨干激励的特殊要求,采取相应的激励对策,包括从核心能力出发研究激励问题、建立适于激励研发人员的能力工资制、注重职业发展激励、注重责任激励、建立激发创新活力的组织文化等。     

我国核电技术创新中的政企协调度实证分析

为探究我国核电技术创新中政府和企业的协调情况,文章基于协同学理论和复杂系统理论,从核电技术创新的特点出发,将核电技术创新系统解构为政府子系统和企业子系统,采用2007年—2017年相关数据,运用协调度测度模型对政府子系统有序度、企业子系统有序度和政企协调度进行测度和分析。研究结果显示:我国核电技术创新中政企协调度随时间呈现“N”型变化趋势,且协调度均值较低；政府子系统有序度和企业子系统有序度表现为“双螺旋”协调演进；制约政府子系统有序度和企业子系统有序度提升的关键因素分别为税收优惠力度和企业R&D强度。     

An intuitive risk factors search algorithm: usage of the Bayesian network technique in personalized medicine

The article focuses on the application of the Bayesian networks (BN) technique to problems of personalized medicine. The simple (intuitive) algorithm of BN optimization with respect to the number of nodes using naive network topology is developed. This algorithm allows to increase the BN prediction quality and to identify the most important variables of the network. The parallel program implementing the algorithm has demonstrated good scalability with an increase in the computational cores number, and it can be applied to the large patients database containing thousands of variables. This program is applied for the prediction for the unfavorable outcome of coronary artery disease (CAD) for patients who survived the acute coronary syndrome (ACS). As a result, the quality of the predictions of the investigated networks was significantly improved and the most important risk factors were detected. The significance of the tumor necrosis factor-alpha gene polymorphism for the prediction of the unfavorable outcome of CAD for patients survived after ACS was revealed for the first time.     

Bad News Has Wings: Dread Risk Mediates Social Amplification in Risk Communication

Social diffusion of information amplifies risk through processes of birth, death, and distortion of message content. Dread risk—involving uncontrollable, fatal, involuntary, and catastrophic outcomes (e.g., terrorist attacks and nuclear accidents)—may be particularly susceptible to amplification because of the psychological biases inherent in dread risk avoidance. To test this, initially balanced information about high or low dread topics was given to a set of individuals who then communicated this information through diffusion chains, each person passing a message to the next. A subset of these chains were also reexposed to the original information. We measured prior knowledge, perceived risk before and after transmission, and, at each link, number of positive and negative statements. Results showed that the more a message was transmitted the more negative statements it contained. This was highest for the high dread topic. Increased perceived risk and production of negative messages was closely related to the amount of negative information that was received, with domain knowledge mitigating this effect. Reexposure to the initial information was ineffectual in reducing bias, demonstrating the enhanced danger of socially transmitted information.     

Interview schedule development for a Sequential explanatory mixed method design: complementary-alternative medicine (CAM) study among Indonesian psychologists

Sequential explanatory mixed method design is the most frequently applied in both health and social sciences literature. It is denoted by ‘QUAN → qual’ which represents the quantitative study occurs first and has greater weight in addressing the study’s aims, and the qualitative study follows to explain quantitative results. Despite the extensive use of sequential explanatory design, there are limited references to this design. Therefore, this methodological paper attempts to fill the gap by providing an illustration in developing a sequential explanatory interview schedule based on complementary-alternative medicine (CAM) study among clinical psychologists in Indonesia. The most important step to develop sequential explanatory interview schedule was the construction of aspects and questions that were immensely grounded on the most notable quantitative results. In this study, eight aspects of interview schedule were constructed after analyses of the nationwide survey. The interview schedule then piloted among participants with fairly similar characteristics to the participants in the main interviews. This process enhanced the quality of questions through feedback from participants and improved the interviewer’s skills through familiarization with questions. It is expected that this reflection report could be adopted as a practical guideline in developing interview schedule for sequential explanatory mixed method design, particularly in the field of psychology.     

The case of vegetovascular dystonia: inventing the most common Soviet disease

ABSTRACT

The paper considers the case of vegetovascular dystonia, one of the most typical and common “Soviet” diseases. This syndrome emerged in Soviet medicine after World War II, and very quickly become a popular diagnosis among physicians. The author describes how the construct of vegetovascular dystonia was formed and developed, what changes it underwent, and what affected those changes. The concept and history of vegetovascular dystonia can provide an understanding of Soviet medicine and health science in general.     

Implementing a college mental health program – an overview of the first twelve months

Objective: To evaluate the demographics and clinical utilization patterns among college students during the initial 12 months of a novel, multi-disciplinary, collaborative, college mental health program (CMHP). Participants: Undergraduate and graduate students receiving treatment at the CMHP from Jan-Dec 2015. Methods: De-identified data was obtained via electronic health records for all students receiving care through the CMHP. Results: 1.2 FTE clinical providers treated 278 undergraduate and graduate students during the year (65.1% < age 26, 53.6% female, 49.6% caucasian). There were 1822 CMHP outpatient visits, 318 other medical visits and 103 total emergency room (ER)/inpatient visits. Ten students were identified as high utilizers of ER/inpatient services, while charges to the CMHP totaled $470,157 and total charges to the Health System were $2,378,315. Conclusions: Students with complex psychiatric/medical co-morbidities received cost effective, convenient and integrative treatment. Over time, we hope to intervene earlier and decrease ER/inpatient visits.     

Development of predictive signatures for treatment selection in precision medicine with survival outcomes

For survival endpoints in subgroup selection, a score conversion model is often used to convert the set of biomarkers for each patient into a univariate score and using the median of the univariate scores to divide the patients into biomarker‐positive and biomarker‐negative subgroups. However, this may lead to bias in patient subgroup identification regarding the 2 issues: (1) treatment is equally effective for all patients and/or there is no subgroup difference; (2) the median value of the univariate scores as a cutoff may be inappropriate if the sizes of the 2 subgroups are differ substantially. We utilize a univariate composite score method to convert the set of patient's candidate biomarkers to a univariate response score. We propose applying the likelihood ratio test (LRT) to assess homogeneity of the sampled patients to address the first issue. In the context of identification of the subgroup of responders in adaptive design to demonstrate improvement of treatment efficacy (adaptive power), we suggest that subgroup selection is carried out if the LRT is significant. For the second issue, we utilize a likelihood‐based change‐point algorithm to find an optimal cutoff. Our simulation study shows that type I error generally is controlled, while the overall adaptive power to detect treatment effects sacrifices approximately 4.5% for the simulation designs considered by performing the LRT; furthermore, the change‐point algorithm outperforms the median cutoff considerably when the subgroup sizes differ substantially.     

基于系统动力学的“互联网+健康医疗”体系模型

“互联网+健康医疗”模式已然成为我国健康医疗产业发展的一个新方向,为解决传统医疗行业中存在的诸多问题提供了新思路。在分析“互联网+健康医疗”对传统医疗的影响及其发展机制的基础上,利用存量流量图等工具构建“互联网+健康医疗”体系模型,运用Vensim软件对我国“互联网+健康医疗”发展情况进行仿真,并模拟相关政策的干预效果。结果表明:“互联网+健康医疗”在降低潜在医疗需求(PMD)、促进分级诊疗中具有重要作用,保障医疗保险能够较好地嵌入“互联网+健康医疗”就诊流程中对降低PMD最有意义,而降低整体门诊价格对于优化就医结构、促进分级诊疗最为有效。     

核威慑的四大风险及其应对

风险社会中的核威慑自身具有很大的不确定性,容易引发技术风险、信任风险、政治风险和道德风险。对立的主客思维方式、失序的国际规范、内在的逻辑矛盾以及缺失的道德责任导致了核威慑风险的产生与升级,而其中的道德责任是根本性的影响因子。面对日趋严峻的核安全形势,各国应该培植政治智慧与道德理性,强化共生意识和本体性安全,构建平等、正义的核安全合作机制,积极打造安全共同体,让参与者共享安全与和平。拥核国应该承担更大的道德责任,切实维护核不扩散体制,努力铲除核恐怖主义,稳步推进世界无核化进程。