Adenocarcinoma arising from respiratory ciliated epithelium in benign cystic teratoma of the ovary: a case report with analyzes of the CT, MRI, and pathological findings

The malignant transformation of mature cystic teratoma is rare, thus occurring in only 1-2% of all cases. The most common malignancy arising in mature cystic teratoma is squamous cell carcinoma. Adenocarcinoma occurs with less frequency. We herein present a patient with an ovarian mature cystic teratoma who demonstrated a malignant transformation to well-differentiated adenocarcinoma. Malignant transformation was diagnosed preoperatively by contrast enhanced computed tomography (CT) and magnetic resonance imaging (MRI). Microscopically and immunohistochemically, the adenocarcinoma was considered to have arisen from the ciliated respiratory epithelium. After a 28-month of follow-up period, she remains free of the disease. This is the third reported case of adenocarcinoma arising in the respiratory epithelium of an ovarian mature cystic teratoma. Contrast enhanced CT and MRI are useful for making a preoperative diagnosis and an immunohistochemical study is helpful for defining its origin.     

Malignant transformation in mature cystic teratoma of the ovary: report of five cases and review of the literature

The incidence of malignant transformation in mature cystic teratoma (MCT) of the ovary is less than 2% as reported in gynaecological and pathological literature. Here we present a series of five patients, who developed malignant transformation in MCT of the ovary, over a 6-year period (1999–2004). The morphological and clinico-pathological features of malignant transformation in MCT of the ovary are discussed.     

含非线性光学侧基的共聚酯的合成及相行为研究

通过熔融缩聚法合成了一类侧链含有非线性光学基元的共聚酯，用ＦＴＩＲ，ＮＭＲ和元素分析等对单体和聚合物进行了表征，并用ＤＳＣ，ＷＡＸＤ和偏光显微镜等对聚合物的相转变行为进行了研究，发现规整侧链的引入仍然结晶聚合物，对其结晶相的成因进行了初步分析。     

脑梗死后自发性出血转化的相关危险因素分析

目的 探讨急性脑梗死自发性出血转化(HT)的相关危险因素.方法 对北京市海淀医院神经内科2011年6月至2014年12月收治的409例未溶栓治疗的脑梗死患者进行研究;其中HT组42例,非HT组367例.回顾性分析2组患者的临床指标,筛选急性脑梗死自发性HT的相关危险因素.结果 HT组患者脑白质病变、卒中史、糖尿病、高血压、心房颤动(房颤)、大面积脑梗死的发生率及24 h收缩压变异系数(CV)、舒张压CV水平均高于对照组(P＜0.05).logistic回归分析显示,脑白质病变(OR=1.794,95％CI 1.086～2.593,P=0.005)、房颤(OR=1.811,95％CI1.122～9.819,P=0.018)、大面积脑梗死(OR=6.527,95％CI 3.998～9.901,P=0.000)、收缩压CV(OR=1.994,95％CI1.158～4.876,P=0.022)、舒张压CV(OR=3.014,95％CI 2.121～5.032,P=0.008)是急性脑梗死自发性HT的独立危险因素.结论 脑白质病变、房颤、脑梗死面积和血压变异性是急性脑梗死自发性HT的独立危险因素,能够预测自发性HT的发生.     

缺氧诱导因子-1α和Ets-1在脑膜瘤中的表达及相关性研究

目的研究缺氧诱导因子-1α（hypoxia-inducible factor 1α,HIF-1α）和Ets-1（E26transformation-specific 1）在脑膜瘤中的表达及其意义。方法采用免疫组织化学法分别检测56例脑膜瘤和9例正常脑膜HIF-1α和Ets-1的表达,采用逆转录聚合酶链反应（RT-polymerase chain reaction,RT-PCR）方法检测25例新鲜脑膜瘤和9例正常脑膜组,运用统计学方法分析HIF-1α和Ets-1在脑膜瘤表达的相关性。结果 HIF-1α和Ets-1在正常脑膜不表达或低表达,脑膜瘤中HIF-1α阳性表达率53.6%（30/56）,Ets-1呈阳性表达率48.2%（27/56）;脑膜瘤恶性倾向组HIF-1α的阳性表达率高于脑膜瘤良性组（P〈0.05）;HIF-1α和Ets-1在脑膜瘤的表达呈正相关（γs=0.317、P〈0.05）。脑膜瘤中HIF-1α和Ets-1的mRNA含量高于正常脑膜组（P〈0.05）,脑膜瘤恶性倾向组HIF-1α和Ets-1的表达高于脑膜瘤良性组（P〈0.05）,HIF-1α和Ets-1在脑膜瘤的mRNA水平呈正相关（γ=0.532、P〈0.01）。结论 HIF-1α和Ets-1的表达与脑膜瘤恶性度有关,二者在脑膜瘤发生发展过程中有协同作用,可作为脑膜瘤预后的潜在指标。     

单位制度变迁视阈下社会转型对医患信任的影响

社会转型是医患信任嬗变的历史背景,医患信任嬗变是反映社会转型的基本侧面,单位制度变迁是透视二者关系的良好视角。新时期我国社会转型的重要表现是从“熟人社会”转向“生人社会”,直接引发了医患关系从互信到互不信的明显转变。“熟人社会”中医患信任主要是基于熟悉的人际信任,“生人社会”则呼唤基于规范的制度信任。人际信任加速失效、制度信任尚未完全建立造成信任结构断裂是医患信任危机发生的根源。“人际信任”与“制度信任”各有优势和不足,重建医患信任必须努力实现二者的有机结合。     

一种高效、快速的大肠杆菌感受态细胞制备及质粒转化方法

目的：建立一种高效、快速的大肠杆菌感受态细胞制备及质粒转化的方法。方法：质粒DNA加入感受态细胞，经短暂冰浴和热休克后，直接涂布预热至37℃的平板。以大肠杆菌DH5α为受体菌，研究CaCl2溶液浓度、感受态细胞的存放时间、转化时间及转化后的培养时间等对质粒转化效率的影响。结果：以100mmol／L CaCl2溶液制备感受态细胞，冰浴转化5min，经42℃热休克作用908后直接涂平板筛选转化子，获得与常规转化方法相当的转化效率。CaCl2溶液浓度和感受态细胞的存放时间对转化效率有明显的影响，而转化时间和转化后的振荡培养时间对转化效率的影响不明显。结论：成功地建立了一种高效、快速的感受态细胞制备及质粒转化的方法。     

绵毛黄芪总甙的抗炎及免疫活性作用

从新疆绵毛黄芪中分得的绵毛黄芪总甙(Astrasieversianin,AS)50mg/kg能抑制大鼠角叉菜性肿胀和对抗佐剂性关节炎的初级症状。AS 50、75mg/kg能提高网状内皮系统的吞噬功能,使小鼠抗SRBC溶血素生成增加,增强SRBC诱导的迟发型超敏反应和DNCB引起的接触性皮炎。1、7.5mg/L的AS对体外ConA诱导~3[H]-TdR参入的淋巴细胞转化有增强作用。用化学发光法测定发现AS对O_2具有清除作用。提示绵毛黄芪总甙有一定的抗炎和免疫活性作用。     

Algorithm for Determining Time Series of Phase Transformations in the Solid State Using Long-Short-Term Memory Neural Network

In the numerical analysis of manufacturing processes of metal parts, many material properties depending on, for example, the temperature or stress state, must be taken into account. Often these data are dependent on the temperature changes over time. Strongly non-linear material property relationships are usually represented using diagrams. In numerical calculations, these diagrams are analyzed in order to take into account the coupling between the properties. An example of these types of material properties is the dependence of the kinetics of phase transformations in the solid state on the rate and history of temperature change. In literature, these data are visualized Continuous Heating Transformation (CHT) and Continuous Cooling Transformation (CCT) diagrams. Therefore, it can be concluded that time series analysis is important in numerical modeling. This analysis can also be performed using neural networks. This work presents a new approach to storing and analyzing the data contained in the discussed CCT diagrams. The application of Long-Short-Term Memory (LSTM) neural networks and their architecture to determine the correct values of phase fractions depending on the history of temperature change was analyzed. Moreover, an area of research was elements that determine what type of information should be stored by LSTM network coefficients, e.g., whether the network should store information about changes of single phase transformations, or whether it would be better to extract data from differences between several networks with similar architecture. The purpose of the studied network is strongly different from typical applications of artificial neural networks. The main goal of the network was to store information (even by overfitting the network) rather than some form of generalization that allows computation for unknown cases. Therefore, the authors primarily investigated in the ability of the layer-based LSTM network to store nonlinear time series data. The analyses presented in this paper are an extension of the issues presented in the paper entitled “Model of the Austenite Decomposition during Cooling of the Medium Carbon Steel Using LSTM Recurrent Neural Network”.     

医院应急发电机组控制系统的PLC改造

传统的医院应急发电系统是由继电器控制的,系统性能相对较低。采NPLC控制技术进行改造,提出了系统的硬件和软件设计思路并进行了改造,提高了系统的稳定性、灵敏性和可靠性。