Immunohistochemical localization of estradiol and progesterone receptors in human uterus throughout pregnancy: expression in endometrial blood vessels

Although progesterone and estrogens are essential to maintain human pregnancy after implantation, the localization of their specific receptors in different uterine cell types during pregnancy has not been investigated. We studied uteri (n = 40) obtained during the first 3 months of pregnancy (n = 21) and in late pregnancy (n = 9) as well as from women 5-14 weeks pregnant (n = 10) who had received the antiprogestagen RU 38486 (Roussel-UCLAF) to induce cervical dilation. Frozen tissues were processed for indirect immunocytochemical staining with specific monoclonal antibodies against estrogen receptors (ER; Abbott Laboratories) and progesterone receptors (PR; Li 417). Specific staining for steroid receptors was only detected in the nucleus. In the endometrium, PR staining remained fairly constant throughout pregnancy, whereas ER staining was initially weak and then undetectable. PR was widely expressed in stromal cells and in spiral arterial wall cells, whereas ER was expressed in scattered stromal cells and arterial cells. Both PR and ER were absent from glandular epithelium, contrasting with the secretory activity during the first trimester. Spiral arteries of the endometrium and myometrial smooth muscle cells showed intense PR and moderate ER staining in early pregnancy. The progesterone antagonist RU 38486 (mifepristone), given in early pregnancy at a dose of 200 mg, caused a marked increase in ER staining and a smaller increase in PR staining in stromal cells, whereas the glandular epithelium remained negative for both ER and PR (except for one and two specimens, respectively). We conclude the following. 1) Stromal cells retain PR despite the high progesterone levels during pregnancy, in keeping with the role of progesterone in stromal decidualization. The absence of PR from the secretory glandular epithelium suggests a paracrine link between decidualized stromal cells and epithelial cells. 2) Significant PR down-regulation by progesterone during pregnancy occurs only in epithelial cells of the endometrium. 3) In contrast, the absence or low level of ER staining in the various cell types of the endometrium during gestation concurs with the known effect (down-regulation) of steroid hormones on ER mRNA or protein levels. The increase in ER in human decidua after RU 38486 treatment indicates that the main cause of the low ER levels is progesterone secretion. 4) The intense PR staining in smooth muscle cells of spiral arteries during early pregnancy suggests that progesterone is essential for modulating blood flow during pregnancy.     

PD275kg／m全长热处理钢轨研制

以高碳低锰碳素热轧钢轨为热处理原料轨，采用双频电感应加热、压缩空气欠速淬火热处理技术研制的ＰＤ２７５ｋｇ／ｍ热处理钢轨，硬化层深度≥１５ｍｍ、组织为细珠光体；力学性能：σ０．２８１５￣９８０ＭＰａ、σｂ１１８５￣１３４０ＭＰａ、δ５１０％￣１５％，常温冲击韧性ａＫ１４￣３３Ｊ／ｃｍ＾２，断裂韧性ＫＩｃ平均值４５．５ＭＰａ·ｍ＾１／２。具有强度高，塑韧性好的综合性能。使用性能优良，寿命比同曲线的Ｕ７     

Synthesis and characterization of block copolymers from D,L-lactide and poly(tetramethylene ether glycol)

The copolymer from D ,L -lactide and poly(tetramethyene ether glycol) (PTMG) was prepared in bulk with an isotributyl aluminum–water–phosphoric acid complex catalyst as the initiator and characterized by H-NMR, GPC, and DSC. The effects of the temperature and the amount of PTMG on the polymerization rate and the molecular weight of copolymers were studied. The behavior of the degradation and delivery rate of Levonorgestrel microspheres in vitro was observed. The results show that the degradation and the delivery rate can be controlled by adjusting the molar rate of hydrophilic and hydrophobic segments of the copolymer © 1995 John Wiley & Sons, Inc.     

RETRACTED ARTICLE: Design of traffic object recognition system based on machine learning

Neural Computing and Applications - In recent years, researchers have proposed many methods to solve the problem of obstacle detection. However, computer vision-based vehicle detection and...     

RETRACTED ARTICLE: Research on image classification method based on convolutional neural network

Neural Computing and Applications - Image classification method is currently the more popular image technology, but it still has certain problems in practice. In order to improve the image...     

EEG extended source imaging with structured sparsity and $$L_1$$ -norm residual

Neural Computing and Applications - It is a long-standing challenge to reconstruct the locations and extents of cortical neural activities from electroencephalogram (EEG) recordings, especially...     

一种提升泵车臂架位置检测精度的工程应用解决方案

针对在利用倾角传感器实现混凝土泵车之类的大型操作机的臂架姿态的间接测量方案中存在的因为臂架的柔性和操作机在不同姿态下自身水平状态的不同可能导致的臂架末端的理论计算值存在较大测量误差的问题,采用了一种在臂架的不同位置增加传感器来实现对臂架柔性变形大小和自身水平状态的实时检测的方法,并着重研究了针对具体的柔性变形及水平状态变化所导致的理论偏差进行实时补偿的切实可行的方法,实验检测的数据证明,相对补偿前臂架的定位精度提升了75％以上.     

石英晶体振荡器的微处理器温度补偿技术研究

为改善石英晶体振荡器的频率特性,减小温度影响,通过对石英晶体振荡器的频率-温度特性的研究,提出了以微处理器（STC89C52RC）为核心的基于AT切晶体谐振器的温度补偿技术,并介绍了系统结构、补偿原理及硬件电路,给出了补偿结果。本设计具有结构简单、功耗低等优点。     

Morse set classification and hierarchical refinement using Conley index

Morse decomposition provides a numerically stable topological representation of vector fields that is crucial for their rigorous interpretation. However, Morse decomposition is not unique, and its granularity directly impacts its computational cost. In this paper, we propose an automatic refinement scheme to construct the Morse Connection Graph (MCG) of a given vector field in a hierarchical fashion. Our framework allows a Morse set to be refined through a local update of the flow combinatorialization graph, as well as the connection regions between Morse sets. The computation is fast because the most expensive computation is concentrated on a small portion of the domain. Furthermore, the present work allows the generation of a topologically consistent hierarchy of MCGs, which cannot be obtained using a global method. The classification of the extracted Morse sets is a crucial step for the construction of the MCG, for which the Poincare′ index is inadequate. We make use of an upper bound for the Conley index, provided by the Betti numbers of an index pair for a translation along the flow, to classify the Morse sets. This upper bound is sufficiently accurate for Morse set classification and provides supportive information for the automatic refinement process. An improved visualization technique for MCG is developed to incorporate the Conley indices. Finally, we apply the proposed techniques to a number of synthetic and realworld simulation data to demonstrate their utility.     

On delay adjustment for dynamic load balancing in distributed virtual environments

Distributed virtual environments (DVEs) are becoming very popular in recent years, due to the rapid growing of applications, such as massive multiplayer online games (MMOGs). As the number of concurrent users increases, scalability becomes one of the major challenges in designing an interactive DVE system. One solution to address this scalability problem is to adopt a multi-server architecture. While some methods focus on the quality of partitioning the load among the servers, others focus on the efficiency of the partitioning process itself. However, all these methods neglect the effect of network delay among the servers on the accuracy of the load balancing solutions. As we show in this paper, the change in the load of the servers due to network delay would affect the performance of the load balancing algorithm. In this work, we conduct a formal analysis of this problem and discuss two efficient delay adjustment schemes to address the problem. Our experimental results show that our proposed schemes can significantly improve the performance of the load balancing algorithm with neglectable computation overhead.