电加热井的井筒温度场数学模型

运用传热学理论，通过对稠油从井底流出井筒的温度变化、井筒原油与地层之间热交换过程的传热机理研究，建立数学模型，可以模拟不同产量、不同含水的井筒温度剖面，以及电加热所需功率，从而为稠油井电加热生产方案的制定提供科学依据。     

传统块状炭材料的发展概况

传统块状炭材料，如石墨电极、炼铝用阳极和阴极炭块、电炭制品、特种炭和石墨、炭砖等，在国民经济中占据不可替代的举足轻重的地位。本文简要概述了传统块状炭材料的国内外发展现状，在此基础上论述了我国相关领域中存在的问题，以期引起对传统但却十分重要的块状炭材料的进一步重视。     

桥丝电阻分布的均匀性对发火电流的影响

文中分析了桥丝电阻分布的均匀性对电雷管发火电流的影响，并对试验结果作了分析和讨论。     

同心球所夹空间电场的电像法求解

采用电像法分析研究了二同心导体球所夹空间的静电场分布。     

Hydrogen and Calcium Ion Concentrations Affect Volume of CO2 Puffed Diced Green Bell Peppers

Diced green bell peppers were soaked in a solution of hydrochloric acid or calcium chloride, air-dried to 50% moisture, held in CO₂ at 5.8 MPa for 1, 3 or 5 min, and puffed by abruptly releasing the CO₂ pressure. Treatment with 1% CaCl₂ increased the size of puffed-dried products as compared to a control; however, HCl treatments did not. The treatment with 1 or 2% CaCl₂ reduced shrinkage as compared to the control. The 1% CaCl₂ treatment may have increased the CO₂ saturation rate.     

一种用QuartusII实现的电子钟系统

对EDA技术的两种软件平台QuartusII和原有的MAX PlusII软件进行了比较，并利用QuartusII软件平台实现了电子钟系统的设计；该电子钟系统能精确计时并显示时间；有复位开关、设定开关和调整按钮可使系统复位及进行时间设定和调整。     

Artificial Neural Network Modeling of Osmotic Dehydration Mass Transfer Kinetics of Fruits

Artificial neural network (ANN) models were developed for the prediction of transient moisture loss (ML) and solid gain (SG) in osmotic dehydration of fruits using process kinetics data from the literature. ANN models for ML and SG were developed based on data over a broad range of operating conditions and ten common processing variables: temperature and concentration of osmotic solution, immersion time, initial water and solid content of the fruit, porosity, surface area, characteristic length, solution-to-fruit mass ratio, and agitation level. The trained models were able to accurately predict the outputs with associated regression coefficients (r) of 0.96 and 0.93, respectively, for ML and SG. These ANN models performed much better than those obtained from linear multivariate regression analysis. The large number of process variables and their wide ranges considered along with their easy implementation in a spreadsheet make them very useful and practical for process design and control.     

External and internal electrostatic potentials of cholinesterase models

The electrostatic potentials for the three-dimensional structures of cholinesterases from various species were calculated, using the Delphi algorithm, on the basis of the Poisson–Boltzmann equation. We used structures for Torpedo californica and mouse acetylcholinesterase, and built homology models of the human, Bungarus fasciatus, and Drosophila melanogaster acetylcholinesterases and human butyrylcholinesterase. All these structures reveal a negative external surface potential, in the area around the entrance to the active-site gorge, that becomes more negative as the rim of the gorge is approached. Moreover, in all cases, the potential becomes increasingly more negative along the central axis running down the gorge, and is largest at the base of the gorge, near the active site. Ten key acidic residues conserved in the sequence alignments of AChE from various species, both in the surface area near the entrance of the active-site gorge and at its base, appear to be primarily responsible for these potentials. The potentials are highly correlated among the structures examined, down to sequence identities as low as 35%. This indicates that they are a conserved property of the cholinesterase family, could serve to attract the positively charged substrate into and down the gorge to the active site, and may play other roles important for cholinesterase function.