150例子宫肌瘤临床病例分析

子宫肌瘤是女性生殖系统最常见的良性肿瘤,生育年龄妇女中,发病率为20%～30%,因很多患者无症状或因肌瘤很小,其发病率较难统计准确。它不但和雌激素同时也和孕激素有关,但子宫肌瘤的发病机理尚不十分明确,目前子宫肌瘤的治疗仍包括随诊观察、保守治疗及手术治疗,有伴随症状者以手术为主。     

子宫次全切除术后二十年并发子宫颈残端巨大肌瘤1例分析

分析1例子宫次全切除术后20年并发子宫颈残端巨大肌瘤患者病例资料,可见子宫肌瘤治疗必须根据患者年龄、生育要求、症状、肌瘤大小等情况全面考虑,或药物治疗,或手术治疗。     

妊娠合并子宫肌瘤38例临床诊治体会

目的分析妊娠合并子宫肌瘤的临床诊治问题。探讨剖宫产同时行子宫肌瘤剔除术的可行性和安全性。方法对于38例妊娠合并子宫肌瘤患者的临床资料进行回顾性分析。结果 38例晚期妊娠合并子宫肌瘤患者中经阴道分娩5例,剖宫产33例,剖宫产同时行肌瘤剔除术20例,子宫次全切一例。剖宫产同时行肌瘤剔除术手术失血量和手术时间没有显著增加。结论晚期妊娠合并子宫肌瘤的患者在剖宫产时行肌瘤剔除术是安全可行的。妊娠合并子宫肌瘤且多发时,在剖宫产时应放宽手术指征,同时行子宫肌瘤剔除术。     

妊娠合并子宫肌瘤行剖宫产术中切除的临床分析

目的探讨剖宫产术中同时行子宫肌瘤切除的可行性。方法对2005年3月至2010年2月期间在我院分娩的60例在剖宫产术中肌瘤切除(观察组)和68例单纯实施剖宫产手术(对照组)的临床资料进行回顾分析。结果观察组手术时间明显比对照组时间长,2组差异具有显著性(P<0.05),但2组患者围术期差异不明显。手术切除肌壁间肌瘤23例,占38.33%;浆膜下肌瘤36例,占60.00%;黏膜下肌瘤1例,占1.67%。结论剖宫产术中切除子宫肌瘤难度与单纯的子宫切除没有显著差异,还可以减少患者二次手术的经济负担。     

阴式子宫肌瘤剔除术与经腹子宫肌瘤剔除术的疗效比较

目的观察比较阴式肌瘤剔除术与经腹肌瘤剔除术治疗子宫肌瘤的疗效。方法入选对象为我院2009年1月至2010年1月80例子宫肌瘤患者,根据手术方法不同按照入院先后顺序随机分为观察组(阴式子宫肌瘤剔除术)和对照组(经腹子宫肌瘤剔除术)各40例,比较2组的手术疗效。结果观察组应用经阴道肌瘤剔除术的有效率高于对照组,且与对照组比较,观察组手术时间短、术中出血少,术后肛门排气快,住院时间明显缩短(P<0.05),随访4～6个月,观察组复发率明显低于对照组(P<0.05)。结论与经腹肌瘤剔除术相比,阴式肌瘤剔除术治疗子宫肌瘤手术效果确切,手术时间短、术中出血少、住院时间短、复发率低。     

妊娠合并子宫肌瘤的诊治

目的探讨妊娠合并子宫肌瘤的诊治方法。方法对我院50例妊娠合并子宫肌瘤患者的临床资料进行回顾性分析。结果经阴道分娩16例;剖宫产34例,其中30例同时行肌瘤剔除术,出血量为135.8～210.4mL,平均180.5mL,手术时间为33.1～64.5min,平均55.0min。均恢复顺利,无严重并发症发生。产后复查,患者子宫收缩良好,恶露不多,部分子宫肌瘤切除者,残余肌瘤大小无明显变化。新生儿经抢救均存活。结论应全面了解孕妇产前及孕期情况,注意B超检查的结果,根据孕妇的具体情况,选择分娩方式,可适当放宽妊娠合并子宫肌瘤患者的剖宫产指征。     

肝癌肝切除术围手术期处理的临床研究

目的对于肝癌肝切除术围手术期处理进行临床研究。方法选择2006年7月至2010年7月在我院选择肝癌肝切除术的者95例,男65例,女30例,年龄32～68岁,平均45岁。采用肝癌肝切除术。结果手术时间1～5h的患者为60例(63.16%),5～10h的患者35例(36.84%)。一共治愈92例(96.84%),无效3例(3.16%),并发症20例(21.05%)。并发症中,大出血6例(30%),肝衰10例(50%)及胸腔积液4例(20%)。结论围手术期的处理中,术前检查全面了解患者的全身情况很重要,术中采取适当的手术方式,尽量缩短手术时间,术中术后常规应用抗生素来减少围手术期的感染机会,注意给氧,严密监测各项重要脏器的功能情况,及时处理各种并发症。     

卵巢交界性肿瘤的诊断和治疗

目的探讨卵巢交界性肿瘤(borderlineovariantumor,BOT)的临床特点和治疗方法。方法回顾性分析10年间收治的22例BOT患者,病理类型为浆液性12例(54.55%),黏液性9例(40.91%),子宫内膜样肿瘤1例(4.54%);手术病理分期Ⅰ期16例(72.73%),Ⅱ期2例(9.09%),Ⅲ期4例(18.18%);治疗以手术为主,辅以化疗。结果随访10年死亡3例,5年存活率95.45%,10年存活率86.36%。结论浆液性肿瘤所占比例高于其它病理类型;手术是治疗BOT的主要方法,应力求将肿瘤完全切尽,术后辅助化疗可提高生存率。     

浅谈子宫肌瘤的辨证论治

子宫肌瘤是女性生殖器最常见的良性肿瘤,由子宫平滑肌组织增生而成,其间有少量纤维结缔组织。多见于30～50岁妇女,多发生于生育期妇女,35岁以上发病率约为20%～40%[2],近年来,又呈年轻化的趋势。因很多患者无症状或因肌瘤很小,没有引起足够重视。     

几种不同甲状腺腺瘤手术方式的术后临床分析

目的对几种不同甲状腺腺瘤手术方式的术后临床分析。方法对本院120例手术治疗的甲状腺腺瘤患者进行随访,分析各种手术方式与术后复发的联系。结果腺叶切除术和经前胸壁行内镜甲状腺切除术术后无复发,甲状腺次全切除术后复发率为6%,腺叶部分切除术后复发率为10%,腺瘤摘除术后复发率为15%。结论单侧甲状腺腺瘤应行腺叶切除术或经前胸壁行内镜甲状腺切除术,双侧腺瘤或腺瘤伴甲亢应行甲状腺次全切除术,应针对患者的个人情况,采取相适当的手术方式。     

Application of profilometry and fractal analysis to the characterization of coatings surface roughness

Quantitation of the analysis of coatings surface roughness by a contact profilometer was undertaken to obtain improved repeatability and meaningfulness of data. This effort involved interfacing the profilometer to a personal computer for data acquisition and analysis, optimizing operational variables involved in the measurement process and improving methods for quantitative data analysis of the roughness profiles. The quantitative methods of data analysis explored included the use of various surface profile roughness averages, power spectrum analysis through zone integrals, auto-correlation function analysis and fractal analysis of the surface roughness profile. Quantitative parameters obtained from the above methods were correlated with visual and optical methods for evaluating appearance for a variety of coatings. The superiority of correlation with evaluations of appearance and repeatability of multiple runs will be demonstrated for fractal numbers obtained from a fractal analysis of surface roughness profiles.     

回归分析法在均匀设计数据分析中的地位

均匀设计的试验数据分析应当采用回归分析法。针对在橡胶配方试验的均匀设计数据分析中不用回归分析而用多属性决策法（ＭＡＤＭ）的情况,作者应用自己开发的计算机辅助试验研究（ＣＡＲ）系统,对同一试验数据进行回归分析,叙述了回归分析的全过程和结果,比较了回归分析法与ＭＡＤＭ的不同,指出了ＭＡＤＭ的局限性,说明了回归分析在均匀设计数据分析中不可替代的地位。     

测试资料早期解释方法应用研究

早期资料解释方法可处理常规试井解释方法解释不合理或无法解释的资料,尤其对于那些油气埋藏深、地层压力高、地层渗透率低的油田,其测试资料用常规方法无法解释,为了提高测试资料的利用率,开展了测试资料早期解释方法和软件的研究,大大提高了测试资料的利用率和试井解释的合理性,为油田勘探开发提供了更多、更详实的资料。     

大数据技术在过程工业中的应用研究进展

近些年,大数据技术在金融、贸易和医疗健康等行业也得到了较好的应用,但大数据技术在过程工业中的应用还处于起步阶段。本文分别从过程工业大数据的特点、分析方法以及应用现状3个方面进行介绍,简述了过程工业数据除了具有一般大数据海量性、多样性、高速性和易变性的4V特点外,还具有高维度、强非线性、样本分布不均和低信噪比的特点。基于过程工业数据的分析方法,按照功能划分可以分为降维分析、聚类和分类分析、相关性分析和预测分析四大类。在此基础上,综述了近些年大数据技术在过程工业上的应用,分别从过程工业优化、过程监测与故障诊断以及产品性能和产率预测3个方面介绍了其在过程工业中的应用情况,并指出未来应该将企业内部的生产数据和原料与产品的市场数据等相结合进行分析和挖掘,这样能够更大程度地发挥大数据的价值。     

丁烷氧化反应器装置数据分析与优化

基于丁烷氧化反应器的实际装置数据,经预处理后,采用主成分分析进行数据挖掘。结果表明,可利用该方法来筛选及判断异常数据点,从而可用于反应器状态的实时诊断和预警,同时对反应器输入和输出参数之间的相关性进行分析,理解和把握参数之间的变化特征,发现丁烷转化率与反应器出口的CO/CO2比值呈负相关,体现主反应和副反应的选择性问题,从而可用于指导反应器操作优化等。     

Analysis of EXAFS data on bimetallic clusters

In previous studies of the structures of bimetallic clusters using extended X-ray absorption fine structure (EXAFS), structural parameters were determined by fitting the single scattering expression for EXAFS to experimental data associated with an absorption edge of each component. The data for the two edges were fitted separately. Recently, with an extensive modification of the computer program for the analysis of EXAFS data, it has been possible to fit the EXAFS data for the two edges simultaneously. This improved method of analysis has the feature thatall of the EXAFS data are used in the determination ofall of the structural parameters, and permits one to impose in a direct manner certain necessary physical conditions regarding the system. Consequently, one has greater confidence in the values obtained for the parameters. The present paper first summarizes published results obtained by the previous method of analysis on a number of systems. For comparison, a summary is then given of results obtained from the same data on these systems with the new method of analysis.     

Treatment of missing values in process data analysis

Process data suffer from many different types of imperfections. For example, bad data due to sensor problems, multi‐rate sampling, outliers, compressed data etc. Since most modelling and data analysis methods are developed to analyze regularly sampled and well conditioned data sets there is a need for pre‐treatment of data. Traditionally data conditioning or pre‐treatment has been done without taking into account the end use of the data, for example, univariate methods have been used to interpolate bad data even when the intended end use of data is for multivariate analysis. In this paper we consider the pre‐treatment and data analysis as a collective problem and propose data conditioning methods in a multivariate framework. We first review classical process data analysis methods and acclaimed missing data handling techniques used in statistical surveys and biostatistics. The applications of these acclaimed missing data techniques are demonstrated in three different instances: (i) principal components analysis (PCA) is extended in data augmentation (DA) framework for dealing with missing values, (ii) iterative missing data technique is used to synchronize uneven length batch process data, and (iii) PCA based iterative missing data technique is used to restore the correlation structure of compressed data.     

基于Web的仓储监控系统的研究与实现

采用了基于B/S与C/S相结合的体系结构,通过GE Proficy Historian实时历史数据库平台和GE Proficy Realtime Information Portal实时数据分析平台与Web发布平台进行网络连接.采用了以GE Proficy iFIX作为接口站,再运用iFIX数据采集嚣,完成数据采集.并...     

Transient modeling of viscosity

Capillary and parallel plate rheological characterization was conducted for a low‐density polyethylene. In contrast with conventional rheological analysis, steady conditions were not assumed. Transient data, with time steps between 0.0001 and 0.2 s, were analyzed with a nonlinear, viscoelastic constitutive model in which the relaxation time was modeled as a function of the applied stress. The fit model explained more than 99% of the observed transient variation in the capillary and parallel plate rheometers. The model coefficients for the capillary and parallel plate were compared directly to conventional linear viscoelastic analysis of the same parallel plate data. The results indicate that the described constitutive model closely predicts the observed viscoelastic behavior of the polymer melt tested in the parallel plate rheometer. Furthermore, the results indicate that the relaxation spectrum modeled with the transient analysis of the capillary rheological data correlate closely to the results predicted by the same transient analysis of parallel plate rheological data. The conclusion is that described constitutive modeling describes the viscoelastic behavior in both capillary and parallel plate rheometers. Moreover, the analysis and results suggest that the viscoelastic behavior of the polymer melt is a significant factor during the rheological characterization and the modeling of the transient response should be taken into consideration during rheological analysis to provide high fidelity models. POLYM. ENG. SCI., 57:1110–1118, 2017. © 2017 Society of Plastics Engineers     

模糊聚类分析方法在系统分析中的应用

决策者对下属各分支机构的有效宏观管理方法是具体问题具体分析；具体措施即对不同性质的分支机构采用不同的目标管理方案；模糊聚类分析是系统分析中新兴的一种分析方法，他是管理者对下属的各个分支机构按其管理特征、行为特征、研究特征、经济特征，基础数据，及上级管理部门在一定原则下所给定的系统评价指标，建立起各个分支机构相互间的模糊相容关系，同时按该种模糊相容关系进行定量计算，找出他们的模糊等价关系的定量计算数据结果；该数据可作为决策依据，决策者依据经验、经济条件和形势给出一个或多个聚类指标，按模糊等价关系中得到的数据，即可对各分支机构作出相应分类管理策略方法，从而实施科学有效的分类管理方案。