A Comparative Study of Different Methodologies for Fault Diagnosis in Multivariate Quality Control

Different methodologies for fault diagnosis in multivariate quality control have been proposed in recent years. These methods work in the space of the original measured variables and have performed reasonably well when there is a reduced number of mildly correlated quality and/or process variables with a well-conditioned covariance matrix. These approaches have been introduced by emphasizing their positive or negative virtues, generally on an individual basis, so it is not clear for the practitioner the best method to be used. This article provides a comprehensive study of the performance of diverse methodological approaches when tested on a large number of distinct simulated scenarios. Our primary aim is to highlight key weaknesses and strengths in these methods as well as clarifying their relationships and the requirements for their implementation in practice.     

Trends in college students’ mental health diagnoses and utilization of services, 2009–2015

Abstract

Objective: To examine changes in diagnoses/treatment for 12 mental health (MH) conditions, previous use of campus MH services, and willingness to seek MH services in the future. Participants: ACHA–NCHA II participants from 2009 to 2015 (n?=?454,029). Methods: Hierarchical binary logistic regression with step 1 controlling for demographics and step 2 considering time. Results: Time was significant except for bipolar disorder, bulimia, and schizophrenia with increases for all conditions except substance abuse. Anxiety (OR?=?1.68), panic attacks (OR?=?1.61), and ADHD (OR?=?1.40) had the highest odd ratios. Use of MH services at current institution (OR?=?1.30) and willingness to utilize services in the future (OR?=?1.37) also increased over time. Conclusions: Based on a national sample, self-reported diagnoses/treatment of several MH conditions are increasing among college students. This examination of a variety of MH issues can aid college health professionals to engage institutional stakeholders regarding the resources needed to support college students’ MH.     

Antenatal care utilisation among Syrian refugees in Tehran: A respondent driven sampling method

AimTo assess the antenatal care utilisation among Syrian refugees in Tehran.MethodsThis cross-sectional study was performed in 2016 in Tehran. As the refugees live in the city, we used Respondent Driven Sampling method for finding participants. Data were collected from interviews by a newly graduated Syrian general practitioner.FindingsIn total, 231 women participated in the study. The mean (standard deviation) number of antenatal care visits was 3.73 (1.41) and 131(56.7%) women received at least four visits. The mean (standard deviation) number of antenatal care visits was higher among women with four or more living children compared with those with four or more: 3.47 (1.35); 95% confidence interval 3.28 to 3.66 vs. 2.82 (1.64); 95% confidence interval 2.25 to 3.40, p = 0.01. The mean (standard deviation) number of antenatal care visits was higher among women whose spouses had academic degrees compared with those with lower education: 4.13 (1.37); 95% confidence interval 3.86–4.40 vs. 3.28 (1.31); 95% confidence interval 3.05–3.52, p < 0.001.ConclusionsAntenatal care utilisation of Syrian women in Tehran complied with neither national guidelines of Iran nor the recommendations of World Health Organization. However, antenatal care utilisation of Syrian women in Tehran was higher than the main destinations of Syrian refugees. Syrian women kept their own cultural behaviour in terms of antenatal care utilisation.     

虚拟仿真婴幼儿实验教学模式构建与运行策略——以山东英才学院学前教育学院为例

与传统实验室相比,虚拟仿真实验室在实验类型、成本与实验条件等方面更有优势,在高校实验教学中的地位越来越重要。山东英才学院积极开展教育资源的信息化、虚拟化和仿真化的建设与应用,通过虚拟仿真婴幼儿实验教学体系基点、目标、方案的构建,对虚拟仿真实验进行合理设计,在创新学前教育人才培养机制方面进行深入研究,旨在推动虚拟实验教学模式的形成和有效运行。     

基于人工神经网络的在线设备状态监测系统的研究(英文)

研究了基于人工神经网络在线设备状态监测系统,简要介绍了人工神经网络的基础理论,描述了基于人工神经网络在线设备状态监测系的结构和工作过程,给出该系统对卷烟机MK9-5的状态监测和故障诊断的结果。实验结果表明,将多层前馈人工种经网络用于设备在线状态监测具有较好的效果,并可对设备故障进行可靠诊断。     

智慧旅游的构成、价值与发展趋势

智慧旅游利用云计算、物联网、高速移动通信技术和智能终端设备为支撑,满足未来旅游管理中的管理智能化、服务主动化、旅游个性化和信息对等化发展需求,提升旅游产业现代服务业的科技含量和服务质量。同时,智慧旅游具有国际化、品牌化、个性化、集成化、科技化的发展趋势,成为大型景区形成独特竞争优势、培育国际竞争力的重要路径和方式。     

Implants and ethnocide: learning from the cochlear implant controversy

This paper uses the fictional case of the ‘Babel fish’ to explore and illustrate the issues involved in the controversy about the use of cochlear implants in prelinguistically deaf children. Analysis of this controversy suggests that the development of genetic tests for deafness poses a serious threat to the continued flourishing of Deaf culture. I argue that the relationships between Deaf and hearing cultures that are revealed and constructed in debates about genetic testing are themselves deserving of ethical evaluation. Making good policy about genetic testing for deafness will require addressing questions in political philosophy and anthropology about the value of culture and also thinking hard about what sorts of experiences and achievements make a human life worthwhile.     

基于隐马尔可夫链模型的电子商务用户兴趣导航模式发现

用户智能导航模式发现已经成为电子商务领域中的一个研究热点。为此,结合电子商务站点用户网页访问时间与网页关键字信息对用户访问兴趣进行定义,借鉴经典隐马尔可夫链模型,建立用户兴趣导航模型。给出在此模型中用户兴趣导航路径的发现方法及算法描述。通过模拟数据、某B2C在线图书销售站点中的真实数据以及与经典方法的对比等方面的实验验证,结果表明：给出的模型方法能够准确、高效地找到带有用户访问兴趣的关联路径信息。这个方法可以作为一种应用于电子商务领域更为有效、实用的智能导航发现工具。     

老年妇女急性下腹疼痛性疾病的超声诊断价值

目的探讨超声对老年妇女急性下腹疼痛性疾病的诊断价值。方法对经手术及临床随访证实60例老年妇女急性下腹疼痛性疾病的超声诊断进行回顾性分析。结果60例老年妇女急性下腹疼痛性疾病最终诊断分别为:女性生殖系统疾病10例,超声诊断符合率为90%,泌尿系统疾病15例,超声诊断符合率为93.3%,消化系统疾病34例,超声诊断符合率为76.5%,左侧髂窝脓肿1例,超声诊断符合率为100%。结论超声对老年妇女急性下腹疼痛性疾病的诊断和鉴别诊断中起着重要的作用。     

怒江大峡谷区域旅游业发展问题诊断

作者探讨了怒江大峡谷旅游开发现状中所呈现的问题,认为旅游资源在质和空间分布上所存在的局限性是制约怒江大峡谷旅游业发展最根本的问题。在此立论基础上,针对怒江大峡谷旅游业发展的问题现状,提出相应的解决措施。