松材线虫病诊断方法研究进展

松材线虫病[Bursa phelenchus xylophilus(Steiner & Buhrer) Nickle) Nickle]是松树的一种毁灭性病害,也是重要的森林检疫对象。松材线虫病的诊断方法是防止松材线虫病发生、蔓延及传播的技术保证。笔者就国内外对松材线虫病树木诊断方法的研究进行了综述。     

Fuzzy Assessment of Asphaltene Stability in Crude Oils

Knowledge about stability of asphaltene, determined by difference index, is of significant interest because of the many problems associated with asphaltene precipitation. This study followed two parallel fuzzy strategies for estimating refractive index (RI) of crude oil and refractive index of crude oil at onset of asphaltene precipitation (PRI) from Sara fraction data. Predicted RI and PRI were then utilized for easy and fast diagnosis of asphaltene stability by dint of calculating difference index (or ΔRI = RI – PRI). The experimental data reported in the literature have been used for model developing and checking. An acceptable agreement between fuzzy predicted values and experimental data confirmed the power of fuzzy logic technique in prediction of RI, PRI, and consequent ΔRI. In this study, ΔRI was not predicted directly mainly for two reasons. First, RI and PRI contain invaluable information themselves and predicting them fulfills the need for these information when they are desired. Second, dividing the problem into two simpler parts and solving them separately enhances the terminal accuracy of prediction. Although the regression accuracy for ΔRI was not completely satisfied, the classification accuracy for discriminating between stable and unstable situations was 100%.      

肺炎所致急性呼吸窘迫综合征12例分析

目的：探讨肺炎所致急性呼吸窘迫综合征（ARDS）的诊断和治疗.方法：对12例ARDS患者的临床资料进行回顾性分析.结果：12例患者,治愈8例,死亡4例.结论：一旦考虑ARDS诊断,应立即给予以机械通气为中心的综合治疗.     

多级评分CAT的认知诊断方法

认知诊断因其能识别被试认知状态已成为CAT研究的重要部分之一,但目前研究大多都基于0-1评分,这与我国试题也采用多级评分现状不相适应.因此,研究基于多级评分的认知诊断具有重要意义.该文主要研究开发多级评分模型下有认知诊断功能的CAT测试系统,采用等级反应模型(GRM),使用先认知诊断后估计能力的方法.该系统的认知诊断正确率较高,且诊断结果较稳定,能力估计也较准确,测验安全性好.     

恶性肿瘤诊疗专家系统设计

常见恶性肿瘤临床诊疗专家系统(CDTES)是一个内科临床辅助诊疗骨架系统,它建立了临床通用型多疾病综合咨询推理机,构造了基于规则框架混合知识单元的树形库。它采用综合主观Bayes方法、不确定性理论(C—F理论)和模糊逻辑的一致性测度方法,实时最优问诊,建立了多疾病假设并行论证的黑板系统,实现了问诊——联想——鉴别——确诊——治疗原则的临床诊疗过程。     

一部值得一读的中医望诊史著作--《中国望诊》

简要评述了黄攸立所著《中国望诊》一书。认为该书既对中国望诊发展历史进程做了阶段上的划分，又分门别类对几种主要的望诊如耳诊、舌诊、目诊的发展历史做了研究，获得了一些重要发现。作者重视对古代望诊理论的临床验证，并在此基础上发展了传统的望诊理论。     

卵巢功能检测方法及应用进展

目的探讨卵巢功能检测方法及临床应用。方法检索、查阅、分析、归纳近十年来卵巢功能检测方法及在临床上的应用文献和资料。结果卵巢功能检测手段多种多样,不仅用于评估女性生殖系统生育功能,还用于诊断女性内分泌疾病,同时在卵巢损害、辅助生育技术及卵巢移植上也有新的发展。结论卵巢功能检测在女性保健上起至关重要的作用。     

A ratio scale metric and the compatibility of ratio scales: The possibility of arrow's impossibility theorem

We develop a metric for ratio scales and explore the notion of compatibility of two sets of measurements of a set of objects or properties on a ratio scale. We briefly address Arrow's impossibility theorem. We maintain that it is not as impossible as claimed when, as in reality, a certain degree of inconsistency and incompatibility are allowed.     

犬瘟热的诊治

犬瘟热是由犬瘟热病毒感染引起的一种急性、败血性传染病。目前尚无治疗本病的特效药物。笔者对犬瘟热的诊治进行了十余年的探索与实践,在临床上采取综合治疗措施,取得了较好的疗效。     

Networks of probabilistic events in discrete time

The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa’s dynamic Bayesian networks (DBNs), consist in discretizing time and creating an instance of each random variable for each point in time. We present a new approach called network of probabilistic events in discrete time (NPEDT), for temporal reasoning with uncertainty in domains involving probabilistic events. Under this approach, time is discretized and each value of a variable represents the instant at which a certain event may occur. This is the main difference with respect to DBNs, in which the value of a variable V_i represents the state of a real-world property at time t_i. Therefore, our method is more appropriate for temporal fault diagnosis, because only one variable is necessary for representing the occurrence of a fault and, as a consequence, the networks involved are much simpler than those obtained by using DBNs. In contrast, DBNs are more appropriate for monitoring tasks, since they explicitly represent the state of the system at each moment. We also introduce in this paper several types of temporal noisy gates, which facilitate the acquisition and representation of uncertain temporal knowledge. They constitute a generalization of traditional canonical models of multicausal interactions, such as the noisy OR-gate, which have been usually applied to static domains. We illustrate the approach with the example domain of modeling the evolution of traffic jams produced on the outskirts of a city, after the occurrence of an event that obliges traffic to stop indefinitely.