857 resultados para Artefact rejection


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 目的 观察纯化的眼镜蛇毒因子(CVF) 对猪到猕猴异种心脏移植超急性排斥反应的影 响。方法 以幼猪为供者,施行猪到猕猴腹腔内异位心脏移植,实验组( n = 4) 使用CVF 完全清除受 者体内补体,对照组( n = 5) 不使用CVF ,两个组术后均采用环孢素A、甲泼尼龙和环磷酰胺抑制排斥 反应,通过检测血清C3 、C4 水平及总补体活性验证CVF 的效果,移植心停跳时切取移植心进行病理 检查。结果 在使用CVF 后,实验组血清C3 降为0 ,总补体活性CH50 值也几乎为0 ,未发现明显毒 副反应,移植猪心存活时间平均为11 d ,最长达13 d ,病理学提示均发生了延迟性异种排斥反应;对照 组3 个移植心在移植后60 min 内发生超急性排斥反应,另2 个分别存活22 h 及6 d。结论 纯化的 CVF 有良好的清除补体的作用,且未见明显副作用;使用CVF 可克服猪到猕猴异种心脏移植超急性 排斥反应的发生。

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Quantitative data on early mother-infant relationships in the Tibetan macaque was collected during the first 23 weeks of infant life in spring, 1987, at Mt. Emei, China. During the first week of life, infants spent 98.3% of their time in ventroventral contact with their mothers. This contact rapidly decreased to 33.8% by the 4th week and thereafter to 0.85% by the 23rd week. Nipple contact decreased relatively slowly from 89.7% to 62.9% within the first 4 weeks of infant life and to 19.8% by the 23rd week. Ventrolateral and ventrodorsal contact appeared by the 2nd week, mean-while, maternal restraining behavior appeared, and reached a peak by the 3rd week. The mother neither encouraged nor discouraged her infant's independence during 4-8th weeks. Maternal rejection of the infant was first observed when the infant was 11 weeks old and continued thereafter.

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目的 研究中华眼镜蛇毒因子(CVF)消耗补体对大鼠心脏移植急性排斥反应的影响.方法 以近交系BN大鼠为供者,Lewis大鼠为受者,建立腹腔异位心脏移植模型.实验分为2组,每组8只.CVF组:心脏移植术前3 d、2 d时,经受者尾静脉注射CVF 50 μg/kg;术前12 h至移植心停跳时,经尾静脉注射CVF 20 μg/kg,每2 d注射1次.对照组:术前、术后不给予受者任何特殊处理.术后观察移植心的存活时间,测定术后第1、3、5和6d及移植心停跳时的血清总补体活性(CH50法)、移植心C3沉积及CD3+T细胞浸润情况,并观察移植心的病理变化.结果 CVF组和对照组的移植心存活时间分别为(11.69±0.72)d和(6.65±0.35)d,两组比较,差异有统计学意义(P<0.01).CVF组移植心组织内C3沉积和CD3+T细胞浸润程度均较对照组同期明显减轻,病理损害程度也较对照组同期明显减轻.结论 CVF消耗补体对大鼠心脏移植急性排斥反应起到了明显的抑制作用,从而延长移植心存活时间.

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探讨蛇毒因子(CW)消耗补体对大鼠同种心脏移植急性排斥反应的影响。方法建立Wistar至sD大 鼠同种异位心脏移植模型,实验组经静脉注射CVF以消耗受体血清中补体,观察移植心存活时间,并从实验组和对照组中分别 抽取5只大鼠于术后1、3、5、6、7 d定时活杀,对比观察移植心急性排斥反应程度,血清补体活性以及CIM+、CD8+T细胞浸润程 度。结果使用CVF的实验组,其移植一fi,存活时间显著延长,平均达(32.39±23.82)d,部分移植心甚至达到长期存活,而对照 组为(6.60±0.65)d(P<0.01),病理检查及免疫组化证实实验组急性排斥反应程度、组织内C3沉积情况和CD4+、CD8+T细胞 浸润程度均较同期对照组明显减轻。结论CVF清除补体可抑制大鼠同种心脏移植急性排斥反应,显著延长移植心存活 时间。

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目的观察纯化的云南眼镜蛇毒因子(Y-CVF)对预致敏大鼠同种心脏移植急性体液排斥反应的作用。方法BN大鼠到Lewis大鼠连续3次皮肤移植预致敏后行颈部异位心脏移植。将15对大鼠用随机数字法分成2组,实验组(n=8)于心脏移植前24h静脉给予Y-CVF80μg/kg;对照组(n=7)不用Y-CVF。观察移植心的生存时间,移植心停跳后病理学检查排斥类型,免疫组织化学染色观察移植心IgG和补体C3的沉积。结果Lewis大鼠预致敏后抗BN大鼠抗体滴度由0升高至1∶1028~1∶2056。对照组移植心存活时间为12·71h±13·94h,实验组移植心存活时间为99·50h±38·72h,与对照组比较差异有统计学意义(t=5·599,P<0·01)。病理检查结果证实,实验组均未发生急性体液排斥,仅见以大量单核淋巴细胞浸润为特征的急性细胞排斥反应。对照组则见以小血管内血栓形成为特征的急性体液排斥反应。免疫组织化学IgG染色实验组和对照组均为阳性,C3染色对照组为阳性,而实验组为阴性。结论使用Y-CVF可克服预致敏大鼠同种心脏移植急性体液排斥反应的发生。

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 观察猪到猕猴异种心脏移植超急性排斥反应时的免疫学及病理学变化。方法  采用猪到猕猴腹腔内异位心脏移植模型,检测发生超急性排斥反应者的血液中补体、天然抗体及T 淋巴细胞亚群的变化,并对移植心脏进行免疫组化(测定C3 、C4 、C5b29 、IgG及IgM 的沉积) 及病理学 分析。结果 发生超急性排斥反应时,血清补体C3 、C4 的含量、总补体活性及抗猪内皮细胞天然抗 体均有一定程度的下降;CD4 + / CD8 + T 淋巴细胞的比率也有所下降;移植心脏中均有补体C3 、C4 、 C5b29 的沉积, IgG及IgM 也均有沉积,但IgG和IgM 沉积强度的差异无统计学意义;病理学改变主 要为心肌间质弥漫性出血、水肿,毛细血管内普遍淤血。结论 补体通过经典途径激活参与猪到猕猴 异种心脏移植超急性排斥反应;超急性排斥反应时受者血中天然抗体水平明显下降;CD4 + T 淋巴细 胞可能参与异种移植超急性排斥反应过程并有所消耗;发生超急性排斥反应的移植物突出病理表现 为间质出血。

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Quantum key distribution (QKD) uniquely allows distribution of cryptographic keys with security verified by quantum mechanical limits. Both protocol execution and subsequent applications require the assistance of classical data communication channels. While using separate fibers is one option, it is economically more viable if data and quantum signals are simultaneously transmitted through a single fiber. However, noise-photon contamination arising from the intense data signal has severely restricted both the QKD distances and secure key rates. Here, we exploit a novel temporal-filtering effect for noise-photon rejection. This allows high-bit-rate QKD over fibers up to 90 km in length and populated with error-free bidirectional Gb/s data communications. With high-bit rate and range sufficient for important information infrastructures, such as smart cities and 10 Gbit Ethernet, QKD is a significant step closer towards wide-scale deployment in fiber networks.

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Space heating accounts for a large portion of the world's carbon dioxide emissions. Ground Source Heat Pumps (GSHPs) are a technology which can reduce carbon emissions from heating and cooling. GSHP system performance is however highly sensitive to deviation from design values of the actual annual energy extraction/rejection rates from/to the ground. In order to prevent failure and/or performance deterioration of GSHP systems it is possible to incorporate a safety factor in the design of the GSHP by over-sizing the ground heat exchanger (GHE). A methodology to evaluate the financial risk involved in over-sizing the GHE is proposed is this paper. A probability based approach is used to evaluate the economic feasibility of a hypothetical full-size GSHP system as compared to four alternative Heating Ventilation and Air Conditioning (HVAC) system configurations. The model of the GSHP system is developed in the TRNSYS energy simulation platform and calibrated with data from an actual hybrid GSHP system installed in the Department of Earth Science, University of Oxford, UK. Results of the analysis show that potential savings from a full-size GSHP system largely depend on projected HVAC system efficiencies and gas and electricity prices. Results of the risk analysis also suggest that a full-size GSHP with auxiliary back up is potentially the most economical system configuration. © 2012 Elsevier Ltd.

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This paper presents a Bayesian probabilistic framework to assess soil properties and model uncertainty to better predict excavation-induced deformations using field deformation data. The potential correlations between deformations at different depths are accounted for in the likelihood function needed in the Bayesian approach. The proposed approach also accounts for inclinometer measurement errors. The posterior statistics of the unknown soil properties and the model parameters are computed using the Delayed Rejection (DR) method and the Adaptive Metropolis (AM) method. As an application, the proposed framework is used to assess the unknown soil properties of multiple soil layers using deformation data at different locations and for incremental excavation stages. The developed approach can be used for the design of optimal revisions for supported excavation systems. © 2010 ASCE.

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This work presents simplified 242mAm-fueled nuclear battery concept design featuring direct fission products energy conversion and passive heat rejection. Optimization of the battery operating characteristics and dimensions was performed. The calculations of power conversion efficiency under thermal and nuclear design constraints showed that 5.6 W e/kg power density can be achieved, which corresponds to conversion efficiency of about 4%. A system with about 190 cm outer radius translates into 17.8 MT mass per 100 kW e. Total power scales linearly with the outer surface area of the battery through which the residual heat is rejected. Tradeoffs between the battery lifetime, mass, dimensions, power rating, and conversion efficiency are presented and discussed. The battery can be used in a wide variety of interplanetary missions with power requirements in the kW to MW range. Copyright © 2007 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

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The work presents simplified242mAm fueled nuclear battery concept design featuring direct fission products energy conversion and passive heat rejection. The performed calculations of power conversion efficiency under thermal and nuclear design constraints showed that 14 W/kg power density can be achieved, which corresponds to conversion efficiency of about 6%. Total power of the battery scales linearly with its surface area. 144 kW of electric power can be produced by a nuclear battery with an external radius of about 174 cm and total mass of less than 10300 kg. The mass of242m Am fuel for such a system is 3200 gram.

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The accurate cancer classification is of great importance in clinical treatment. Recently, the DNA microarray technology provides a promising approach to the diagnosis and prognosis of cancer types. However, it has no perfect method for the multiclass classification problem. The difficulty lies in the fact that the data are of high dimensionality with small sample size. This paper proposed an automatic classification method of multiclass cancers based on Biomimetic pattern recognition (BPR). To the public GCM data set, the average correct classification rate reaches 80% under the condition that the correct rejection rate is 81%.

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On the basis of DBF nets proposed by Wang Shoujue, the model and properties of DBF neural network were discussed in this paper. When applied in pattern recognition, the algorithm and implement on hardware were presented respectively. We did experiments on recognition of omnidirectionally oriented rigid objects on the same level, using direction basis function neural networks, which acts by the method of covering the high dimensional geometrical distribution of the sample set in the feature space. Many animal and vehicle models (even with rather similar shapes) were recognized omnidirectionally thousands of times. For total 8800 tests, the correct recognition rate is 98.75%, the error rate and the rejection rate are 0.5% and 1.25% respectively. (C) 2003 Elsevier Inc. All rights reserved.

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In this paper, we constructed a Iris recognition algorithm based on point covering of high-dimensional space and Multi-weighted neuron of point covering of high-dimensional space, and proposed a new method for iris recognition based on point covering theory of high-dimensional space. In this method, irises are trained as "cognition" one class by one class, and it doesn't influence the original recognition knowledge for samples of the new added class. The results of experiments show the rejection rate is 98.9%, the correct cognition rate and the error rate are 95.71% and 3.5% respectively. The experimental results demonstrate that the rejection rate of test samples excluded in the training samples class is very high. It proves the proposed method for iris recognition is effective.

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In this paper, from the cognition science point of view, we constructed a neuron of multi-weighted neural network, and proposed a new method for iris recognition based on multi-weighted neuron. In this method, irises are trained as "cognition" one class by one class, and it doesn't influence the original recognition knowledge for samples of the new added class. The results of experiments show the correct rejection rate is 98.9%, the correct cognition rate and the error recognition rate are 95.71% and 3.5% respectively. The experimental results demonstrate that the correct rejection rate of the test samples excluded in the classes of training samples is very high. It proves the proposed method for iris recognition is effective.