个体身份与生命意义：肺癌网络社区的疾病叙事

文章通过对国内"医享网"癌症社区"肺癌圈"中33篇精华帖的叙事分析,探究其中生命故事的主体对自我身份的建构路径及其对生命价值的意义探寻,并尝试性地提出一些反思。研究发现,在自述和他述生命故事中,叙事者在信息寻求过程中改善自我印象,并运用"写作疗法""阅读疗法"和叙事隐喻理解疾病,帮助患者重塑自身角色。通过社群互动,患者形塑了对自身的身份认同,并形成了集体层面的生命价值观。从本研究的结论看,疾病叙事是癌症网络社区患者建构个体身份、形成身份认同的重要途径,叙事或可成为未来增进社会对癌症乃至其他疾病的理解、推进治疗与康复的可行之路。     

基于CNKI的国内医学用途英语教学研究进展分析（2011—2020）

对近十年来国内医学用途英语教学研究进展进行了整体回顾和概要总结。利用中国知网CNKI文献分析工具,对2011至2020年发表的医学用途英语学术论文进行检索统计,从发文量、文献来源、作者及机构分布、研究主题、研究视角等维度进行进展分析。研究发现,知网共发表相关主题论文342篇,其中核心期刊论文26篇,主要从医学用途英语所面临的挑战、需求分析、教学模式、教学改革、教材编写以及医学用途英语教师转型发展等视角展开讨论。研究认为未来的医学用途英语教学研究需要走“外语+医学”跨学科特色发展路径,以培养更多面向新时代的复合型医学人才。     

再谈四川盆地小麦品种产量性状的育种目标

用近10年的小麦区试资料,从粒重的角度将四川麦区小麦品种分为“大粒型”（千粒重50g左右）、“中间型”（千粒重45g左右,穗粒数40粒左右）和“粒数型”（千粒重40g左右,稳粒数50粒以上）三类,通过相关及因子分析表明：我省推广小麦品种大多属“中间型”,该类品种丰产性、稳产性及商品性都较优良;“粒数型”品种的丰产性和稳产性在三类品种中最好但粒重较小,商品性欠佳;而“大粒型”品种对环境适应性较差,不利高产稳产。四川小麦育种宜采用“中间型”或“粒数型”路线,特别是产量水平要有所突破,更须走“粒数型”的路子。     

流动注射─—化学发光法同时测定痕量Cr(Ⅵ)/Cr(Ⅲ)

提出一个反相流动注射-化学发光法同时测定Cr（Ⅵ）Gr(Ⅲ）的方法,基于皮素－H2O2－Cr（Ⅵ）－KOH化学发光反应直接测定Cr（Ⅵ）;Cr（Ⅲ）在PbO2柱氧化后测定．方法简单,快速,检测限为1．0×10－9Cr（Ⅵ）,线性范围为1．0×10－8~1．0×10－6g/mlCr（Ⅵ）,用于淮河水样分析,结果满意．     

A Population Approach to Analysis of Variance Models

Several authors have contributed to what can now be considered a rather complete theory for analysis of variance in cases with orthogonal factors. By using this theory on an assumed basic reference population, the orthogonality concept gives a natural definition of independence between factors in the population. By looking upon the treated units in designed experiments as a formal sample from a future population about which we want to make inference, a natural parametrization of expectations and variances connected to such experiments arises. This approach seems to throw light upon several controversial questions in the theory of mixed models. Also, it gives a framework for discussing the choice of conditioning in models     

A Multivariate Model for Repeated Failure Time Measurements

A parametric multivariate failure time distribution is derived from a frailty-type model with a particular frailty distribution. It covers as special cases certain distributions which have been used for multivariate survival data in recent years. Some properties of the distribution are derived: its marginal and conditional distributions lie within the parametric family, and association between the component variates can be positive or, to a limited extent, negative. The simple closed form of the survivor function is useful for right-censored data, as occur commonly in survival analysis, and for calculating uniform residuals. Also featured is the distribution of ratios of paired failure times. The model is applied to data from the literature     

Retirement patterns in Hong Kong: a censored regression analysis

This paper provides an overview of retirement patterns in Hong Kong on the basis of limited data. A censored regression model is used to infer the retirement age from people‘s current retirement status and their current age. This model is equivalent to a restricted probit model, and the interpretation of parameters is straightforward. The results clearly show a negative income effect on the retirement decision. The retirement age seems to be positively related to lifetime earnings but negatively related to the rate of decline of earnings with age. JEL classification: C24, J14, J26 Received May 6, 1996 / Accepted February 5, 1997     

Sensitivity of the Optimum to Perturbations of the Profit or Weight of an Item in the Binary Knapsack Problem

In the binary single constraint Knapsack Problem, denoted KP, we are given a knapsack of fixed capacity c and a set of n items. Each item j, j = 1,...,n, has an associated size or weight w_j and a profit p_j. The goal is to determine whether or not item j, j = 1,...,n, should be included in the knapsack. The objective is to maximize the total profit without exceeding the capacity c of the knapsack. In this paper, we study the sensitivity of the optimum of the KP to perturbations of either the profit or the weight of an item. We give approximate and exact interval limits for both cases (profit and weight) and propose several polynomial time algorithms able to reach these interval limits. The performance of the proposed algorithms are evaluated on a large number of problem instances.     

Quantitative Estimates of Risk for Noncancer Endpoints

While quantitative estimates of risk have been a standard practice in cancer risk assessment for many years, no similar practice is evident in noncancer risk assessment. We use two recent examples involving methylmercury and arsenic to illustrate the negative impact of this discrepancy on risk communication and cost-benefit analysis. We argue for a more balanced treatment of cancer and noncancer risks and suggest an approach for reaching this goal.     

Priority Setting for the Distribution of Localized Hazard Protection

We address the problem of distributing safety-enhancing devices across a region, where each identical device provides for only local protection of the population. The devices protect nonidentical sectors of the population. The sectors of population are exposed to nonidentical intensities of hazard. A method for the screening and prioritizing of needs for the protective devices is described. An approach of risk-benefit-cost analysis under uncertainty is recommended as follows. Measures of hazard intensity and population exposure are identified. Exogenous parameters that influence assessments of risks, benefits, and costs are identified. Uncertainties of the exogenous parameters are propagated by interval analysis. Several tiers of the plausibility of need for protection are identified. The tiers are useful in setting priorities for the distribution of the safety devices. The method is demonstrated in an engineering application to roadway lighting, but has implications for disaster preparedness, anti-terrorism, transportation safety, and other arenas of public safety.