Using the integrative model of behavioral prediction to understand college students’ STI testing beliefs,intentions, and behaviors

ABSTRACT

Objectives: To identify salient behavioral determinants related to STI testing among college students by testing a model based on the integrative model of behavioral (IMBP) prediction. Participants: 265 undergraduate students from a large university in the Southeastern US. Methods:Formative and survey research to test an IMBP-based model that explores the relationships between determinants and STI testing intention and behavior. Results: of path analyses supported a model in which attitudinal beliefs predicted intention and intention predicted behavior. Normative beliefs and behavioral control beliefs were not significant in the model; however, select individual normative and control beliefs were significantly correlated with intention and behavior. Conclusions: Attitudinal beliefs are the strongest predictor of STI testing intention and behavior. Future efforts to increase STI testing rates should identify and target salient attitudinal beliefs.     

多维特征视角下基于图卷积网络的专利技术领域自动识别研究

专利审查周期缩短政策的提出与专利申请数量急剧增加的现状给实现专利技术领域识别的专利分类工作带来巨大挑战,如何引入专利自动分类技术提高专利分类工作效率、缩短专利审查周期成为重要研究主题。本文提出基于多维特征和图卷积网络的专利技术领域自动识别方法。该方法根据文献计量学与图表示学习理论从专利摘要、引证专利、专利发明人维度提取专利特征;其次利用专利摘要维度特征生成表征专利文本特征的专利-核心词汇异构网络,并将引证专利、专利发明人维度特征作为专利数字特征嵌入专利-核心词汇异构网络;通过图卷积网络进行半监督学习,确定专利-核心词汇异构网络中专利节点的类别标签,完成专利自动分类任务。为验证本文所提方法的识别效果,采用Incopat全球专利数据库中专利数据进行实验;实验结果表明专利文本特征与专利数字特征共同作为专利特征可以提高专利分类准确率,引证专利信息的引入可以提高专利分类准确率。同时,本文所提方法也给专利技术领域自动识别问题提供新解答思路,为缩短专利审查周期政策的实施提供支撑。     

自动生产线的同步维修模型及实例研究

自动生产线故障停机时间长、停机费用高,其原因在于:设备种类多且相关联,存在各设备协同维修的难题。首先,寻求生产线故障时间和检查时间之间的平衡点,建立检查周期与总停机时间之间关系的目标函数。其次,借鉴同步维修的"对故障隐患集中式批处理,减少分散维修的停机时间"思想,以及时间延迟维修理论,建立生产线的同步维修模型,该模型利用生产线每天停机次数、每次停机时间及检查时发现的缺陷数,计算出合理的生产线检查周期,并以此为依据制定维修计划,实现"提高维修批量,减少生产线停机时间"的目标。最后,实例研究。收集某生产线近十年的故障记录数据,在分析生产流程、设备布局、各设备停机影响的基础上,提出对策指导生产线维修管理。     

实验仿真软件的开发研究

在研究《自动控制原理》课题特点和 CAI教育理论的基础上 ,以微型计算机平台介绍了《控制原理虚拟实验室》仿真软件开发的步骤及方法 ,论述了实验仿真软件开发研究的指导思想 ,实验仿真软件要求 ,以及如何发挥计算机网络优势     

自动生化分析模块化实验教学的探索与实践

提出模拟自动生化分析的模块化实验方法，探讨应用于临床生化检验实验教学的可行性和实用性，旨在使学生更好地理解和掌握自动分析技术和提高实际动手能力。     

一种适用于无线ATM通信的差错控制方案

研究了无线ＡＴＭ通信的差错控制方案，提出了应根据多媒体业务类型、速率等参数，以及移动环境等，自适应地选择合适的差错控制技术和参数的思想。文中提出的差错控制方案主要包括ＦＥＣ（可变深度的交织、卷织码、ＢＣＨ码）和限时／非限时ＳＡＲＱ等技术，计算机仿真结果表明了所提方案的有效性。     

截短RS/混合Ⅱ型ARQ在衰落信道上的性能分析

分析了截短ＲＳ／混合Ⅱ型ＡＲＱ在无线衰落信道上的分组错误率、通过效率、传输时延等特性，给出了数值仿真结果。研究发现，由于ＲＳ码具有很强的纠错能力，通过有限次的重传就可达到很低的分组错误率，同时减小了固重传而引起的传输时延。     

Gender-based health interventions in the United States: An overview of the coalition for healthier community initiative

Health disparities by gender constitute an important yet often overlooked aspect of health around the globe. Within the United States, there is both a paucity of research as well as planned programs that take into account how socio-cultural roles and expectations for men and women may differentially affect symptoms, access to care, and treatment. Viewing women's health exclusively as a function of sex (i.e., biological) differences represents a narrow understanding that does not fully explain gaps in health disparities between men and women. In September 2010, the U.S. Department of Health and Human Services (DHHS) launched a national initiative entitled the Coalition for a Healthier Community (CHC) to employ a gender-based framework in several urban, suburban and rural communities across the nation. The Office on Women's Health (OWH) within the DHHS funded 10 coalitions to ultimately improve the health of women and girls utilizing a gender-based approach. This article provides an overview of the initiative and the focus of the special issue.     

Ethical Numbers: Ethics Training in U.S. Graduate Statistics Programs, 2013–2014

As important members of research teams, statisticians bear an ethical responsibility to analyze, interpret, and report data honestly and objectively. One way of reinforcing ethical responsibilities is through required courses covering a variety of ethics-related topics at the graduate level. We assessed ethics requirements for graduate-level statistics training programs in the United States for the 2013–2014 academic year using the websites of 88 universities, examining 103 biostatistics programs, and 136 statistics degree programs. We categorized programs’ ethics training requirements as required or not required. Thirty-one (35.1%) universities required an ethics course for at least some degree students. Sixty-two (25.5%) degree programs required an ethics course for at least some students. The majority (77.4%) of required courses were worth 0 or 1 credit. Of the 177 programs without an ethics requirement, 19 (10.7%) listed an ethics elective. Although a single ethics course is insufficient for instilling an ethical approach to science, degree programs that model expectations through coursework point to the value of ethics in science. More training programs should prepare statisticians to consider the ethical dimensions of their work through required coursework. Supplementary materials for this article are available online.     

R package rjmcmc: reversible jump MCMC using post‐processing

The rjmcmc package for R implements the post‐processing reversible jump Markov chain Monte Carlo (MCMC) algorithm of Barker & Link. MCMC output from each of the models is used to estimate posterior model probabilities and Bayes factors. Automatic differentiation is used to simplify implementation. The package is demonstrated on two examples.