气管上段腺样囊性癌的临床病理

目的　探讨气管上段腺样囊性癌的临床病理特征及诊断和鉴别诊断要点。方法　收集2000年1月至2014年2月在北京协和医院确诊的4例气管上段腺样囊性癌病例，通过光镜、免疫组织化学及组织化学染色分析其临床病理特征、免疫组织化学特点、诊断及鉴别诊断要点。结果　4例气管上段腺样囊性癌患者中，男1例，女3例，平均年龄47岁(38~57岁）；既往均无腺样囊性癌病史，1例患者既往有结节性甲状腺肿手术史。镜下检查4例均为筛状/管状型腺样囊性癌，3例累及甲状腺组织，3例累及神经组织，未见淋巴结受累。免疫组织化学染色示4例P16、CD117、BCL2、P63、SMA均阳性，Ki67指数平均8%，TTF1和P53均阴性；4例中基底膜样物胶原Ⅳ阳性；组织化学染色示AB/PAS阳性。术后均接受总剂量为48~56 Gy的放疗，随访6~120个月，平均72.5个月，1例术后96个月复发，3例随访期间无复发及转移。结论　气管上段腺样囊性癌是罕见的原发于气管的低度恶性肿瘤，肿瘤生长缓慢，就诊时多数已侵及甲状腺组织，需要与原发于甲状腺的恶性肿瘤相鉴别，特别是在甲状腺穿刺及术中冰冻检查时。结合电子喉气管镜下表现、典型的形态学及免疫组织化学和组织化学染色有助于准确诊断。手术难以切除干净，术后放疗对延缓疾病复发有一定帮助。     

An overview on fault diagnosis and nature-inspired optimal control of industrial process applications

Fault detection, isolation and optimal control have long been applied to industry. These techniques have proven various successful theoretical results and industrial applications. Fault diagnosis is considered as the merge of fault detection (that indicates if there is a fault) and fault isolation (that determines where the fault is), and it has important effects on the operation of complex dynamical systems specific to modern industry applications such as industrial electronics, business management systems, energy, and public sectors. Since the resources are always limited in real-world industrial applications, the solutions to optimally use them under various constraints are of high actuality. In this context, the optimal tuning of linear and nonlinear controllers is a systematic way to meet the performance specifications expressed as optimization problems that target the minimization of integral- or sum-type objective functions, where the tuning parameters of the controllers are the vector variables of the objective functions. The nature-inspired optimization algorithms give efficient solutions to such optimization problems. This paper presents an overview on recent developments in machine learning, data mining and evolving soft computing techniques for fault diagnosis and on nature-inspired optimal control. The generic theory is discussed along with illustrative industrial process applications that include a real liquid level control application, wind turbines and a nonlinear servo system. New research challenges with strong industrial impact are highlighted.     

A Study on Turbo—rotor Multi—fault Diagnosis Based on a Neural Network

The multi-fault phenomena are common in the turbo-rotor system of a liquid rocket engine.As it has many excellent qualities,the neural network might be used to solve the problems of multi-fault diagnasis of a turbo-rotor system.First,the feature expression of a common turbo-rotor fault was studied in order to build up the standard fault pattern and satisfy the need of neural network studying and diagnosing.Then.the turbo-rotor fault identification and diagnosis problems were investigated by using a BP(back-propaga-tion)neural network.According to the BP neural network problems,the parallel BP neural network method of multi-fault diagnosis and classification was presented and investigated.The results indicated that the parallel Bp neural network method could solve the turbo-rotor multi-fault diagnosis problems.     

平面近场测试系统在天线测试和诊断中的应用

介绍了天线近场测量的基本原理和HD-1型平面近场测试系统,并对近场测量在实际天线测试中的应用情况、发展方向和应用前景等作了简单的描述。     

Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection

In many applications, the joint effect of two continuous covariates on the target binary response may vary across groups defined by levels of a given factor. A testing procedure that would enable this type of surface-by-factor interactions to be detected has been designed. To accomplish this goal, a logistic generalized additive model (GAM) with bivariate continuous interactions varying across groups defined by levels of a factor is considered. A local scoring algorithm based on local linear kernel smoothers was implemented to estimate the proposed logistic GAM. Bootstrap resampling techniques were used for the purpose of testing for factor-by-surface interactions. Given the high computational cost involved, binning techniques were used to speed up computation in the estimation and testing processes. The adequacy of the bootstrap-based test was assessed by means of a simulation study. If a factor-by-surface interaction is detected in the model, it is then established that the use of the odds-ratio curves is very useful in obtaining a direct interpretation of the fitted model. The benefits of using this methodology when analyzing real data are illustrated by applying the technique to the outputs produced by a computerized system dedicated to the early detection of breast cancer.     

产量递减规律的诊断方法

传统的Arps产量递减分析方法要求事先选定递减规律的初始时间、初始产量及初始递减率,事实上这些参数是很难确定的。实际应用时不得不人为地加以臆断而使得此方法带有不确定性.为此提出了产量递减规律的诊断方法。应用诊断曲线很容易确定递减规律的模型参数,克服常规方法的不足。通过选用参考时间、参考产量和参考递减率,使得递减分析方法具有一定的灵活性和优越性、该方法简便、实用。     

一种自制硬件诊断磁带的方法

牛哲成．一种自制硬件诊断磁带的方法．测并技术，１９９４，１８（２）：１４９～１５４硬件诊断磁带是由用于对计算机硬件系统各组成部分进行功能检查、状态测试和故障检测的诊断测试程序集构成的一种专用工具磁带。本文提出了一种用户在ＰＥ３２００系列计算机裸机环境下自己制作硬件诊断磁带的方法，井涉及到具体的程序实现。用该方法制作的硬件诊断磁带操作简单。对进一步搞好ＰＥ３２００系列计算机的维护，开发完善ＰＥ３２００系列计算机硬件诊断系统具有实际意义。     

潜油螺杆泵采油系统设计与应用技术分析

潜油螺杆泵采油技术在某些方面具有其他人工举升技术不可比拟的优点，特别适合于我国渤海湾一带粘油区、海上平台的采油作业，但这项技术在我国实际开发应用的时间还比较短，人们对这项技术的了解还不够深入，很多单项技术还有待于更多的人去关注和研究.介绍了潜油螺杆泵采油系统的结构，总结了该项采油技术与其他常用采油技术相比较的特点，系统地阐述了国内外的发展状况，分析了以往投入生产试运行时系统失效的原因并提出了相应的解决办法，最后探讨了系统设计技术的发展趋势.     

状态监测与分析系统在大型机组中的应用

介绍了S8000大型旋转机械状态监测与分析系统在催化大机组中的应用及故障诊断。     

多变量系统故障诊断和容错控制新方法及其在精馏过程中的应用

本文提出一种多变量系统的故障诊断和容错控制新方法，整个系统由四个神经元组成。将本文方法用于二元精馏塔顶和塔底组分的容错控制，仿真结果证实了本文方法的有效性。该方法可望在难以建模的复杂化工过程中得到应用。