EXCELLON成型程序的编制

介绍了适用于EXCELLON成型机的线路板成型程序的编制过程及在编写过程中应注意的事项和技巧 .对从事线路板工作的编程人员有重要的参考价值 .

利用先进成型工艺提高异形耐火制品的质量

指出造成异形制品出现废品的原因。介绍了HPF型液压机的操作程序。还指出传统成型方法的缺点,砖坯气孔中空气的内压力导致出现过压裂纹。给出该空气内压力的计算公式。列出从砖坯中排除空气的方法。推荐采用真空成型方法来成型制品。

Cost of treating chronic hepatitis B:Comparison of current treatment guidelines

AIM:To compare program costs of chronic hepatitis B(CHB) screening and treatment using Australian and other published CHB treatment guidelines.METHODS:Economic modeling demonstrated that in Australia a strategy of hepatocellular cancer(HCC) prevention in patients with CHB is more cost-effective than current standard care,or HCC screening.Based upon this model,we developed the B positive program to optimize CHB management of Australians born in countries of high CHB prevalence.We estimated CHB program costs using the B positive program algorithm and compared them to estimated costs of using the CHB treatment guidelines published by the AsianPacific,American and European Associations for the Study of Liver Disease(APASL,AASLD,EASL) and those suggested by an independent United States hepatology panel.We used a Markov model that factored in the costs of CHB screening and treatment,individualized by viral load and alanine aminotransferase levels,and calculated the relative costs of program components.Costs were discounted by 5% and calculated in Australian dollars(AUD).RESULTS:Using the B positive algorithm,total program costs amount to 13 979 224 AUD,or 9634 AUD per patient.The least costly strategy is based upon using the AASLD guidelines,which would cost 34% less than our B positive algorithm.Using the EASL and the United States Expert Group guidelines would increase program costs by 46%.The largest expenditure relates to the cost of drug treatment(66.9% of total program costs).The contribution of CHB surveillance(20.2%) and HCC screening and surveillance(6.6%) is small-and together they represent only approximately a quarter of the total program costs.CONCLUSION:The significant cost variations in CHB screening and treatment using different guidelines are relevant for clinicians and policy makers involved in designing population-based disease control programs.

In-place structural strength and fatigue analysis for floating platform topsides

This paper presents some insights on the state-of-the-art practice that has been utilized recently in the inplace structural strength and fatigue analysis for topsides on deepwater floating platforms such as tension leg plat-form (TLP) and semi-submersibles. Emphases are put on analysis software,geometric and mass modeling,hydro-dynamic loading and its mapping,and analysis procedures. In addition,for the in-place analysis using structure analysis computer system (SACS),the procedure of Visual Basic for Application (VBA) is developed to map AQWA-LINE hydrodynamic loading to the SACS integrated hull/topsides model;for the in-place analysis using structure engineering system analysis model (SESAM),many computer aided applications are made to aid the post-processing. These applications have been used in structural analyses for a few TLP and semi-submersible plat-form topsides,and are briefly introduced in this paper.

Integration of CATHENA Thermal-Hydraulic Model with CANDU 6 Analytical Simulator Controller

This paper introduces a powerful design and analysis tool named SIMCAT, that is developed to support applications to license a CANDU nuclear reactor, refurbish projects, and support the existing CANDU stations. It consists of the CATHENA （Canadian Algorithm for Thermo-Hydraulic Network Analysis）, the control logics from C6SIM （CANDU 6 Analytical Simulator）, and a communication protocol, PVM （parallel virtual machine）. This is the first time that CATHENA has been successfully coupled directly with a program written in another language. The independence of CATHENA and the C6SIM controllers allows the development of both CATHENA and C6SIM controller to proceed independently.

Silicon Affects Transcellular and Apoplastic Uptake of Some Nutrients in Plants

The positive effects of silicon(Si) on growth of plants have been well documented;however,the impact of Si on plant nutrient uptake remains unclear.The growth,nutrient content and uptake of wheat(Triticum aestivum L.),canola(Brassica napus L.) and cotton(Gossypium hirsutum L.) plants were evaluated with or without application of 1.5 mmol L^(-1) Si.Application of Si increased dry weights by 8%,30%and 30%and relative growth rate(RGR) by 10%,13%and 17%in the cotton,canola and wheat plants,respectively.The plant relative water content(RWC) was also increased,but the plant transpiration was decreased by Si application.The uptake and content of Ca^(2+) were 19%and 21%lower in the cotton and wheat plants with Si than those without Si,respectively;however,Si application increased both K^+ and Fe uptake and contents in all plant species.Silicon application reduced B uptake and content only in cotton and increased P and Zn^(2+) contents in all three plant species.The decrease in Ca^(2+) uptake by Si application was sustained even in the presence of metabolic inhibitors 2,4-dinitrophenol and sodium cyanide.Uptake of Ca^(2+) by Si application was enhanced or did not change when plant shoots were saturated with water vapor or their roots were exposed to low temperature.Thus,Si application increased the uptake of transcellularly transported elements like K^+,P,Zn^(2+) and Fe.In contrast,Ca2+ uptake which occurred via both apoplastic and transcellular pathways was decreased by Si application,possibly through reduction of apoplastic uptake.More efficient nutrient uptake might be another promoting effect of Si on plant growth.

Influences of misprediction costs on solar flare prediction

The mispredictive costs of flaring and non-flaring samples are different for different applications of solar flare prediction.Hence,solar flare prediction is considered a cost sensitive problem.A cost sensitive solar flare prediction model is built by modifying the basic decision tree algorithm.Inconsistency rate with the exhaustive search strategy is used to determine the optimal combination of magnetic field parameters in an active region.These selected parameters are applied as the inputs of the solar flare prediction model.The performance of the cost sensitive solar flare prediction model is evaluated for the different thresholds of solar flares.It is found that more flaring samples are correctly predicted and more non-flaring samples are wrongly predicted with the increase of the cost for wrongly predicting flaring samples as non-flaring samples,and the larger cost of wrongly predicting flaring samples as non-flaring samples is required for the higher threshold of solar flares.This can be considered as the guide line for choosing proper cost to meet the requirements in different applications.