1)  Delphi8 for .NET
Delphi8 for.NET
1.
Discussion about Designing Web Application Program Using Delphi8 for .NET;
Delphi8 for.NET开发Web应用程序的探讨
2)  OSA/CBM for.Net
OSA/CBM for.Net
3)  DE
DE
1.
Research on Self-adaptive Float Evolution Algorithm Based on DE;
基于DE的浮点数编码自适应进化算法研究
2.
In order to study the behaviors of extrusion conversion of amylase,a high-temperature resistant α-amylase as catalyzer and a twin-screw extruder were used for testing the gelatinization and liquefaction of corn starch,and extrudates with different dextrose equivalent(DE value is 17~36) were obtained.
为了探讨淀粉酶法挤压转化规律,以耐高温α-淀粉酶为催化剂,利用双螺杆挤压机对玉米淀粉进行了糊化和液化试验研究,获得了不同转化程度(DE值为17~36)的挤出物。
4)  ·de
“·de”
5)  DE-GMAW
DE-GMAW
1.
STUDY ON THE PROCESS MECHANISM OF HIGHSPEED ARC WELDING DE-GMAW;
DE-GMAW高速电弧焊工艺机理的研究
6)  DE value
DE值
1.
The effects of liquefying and saccharifying conditions on the DE value and filtering characteristics of liquid glucose were studied in detail,the mutual actions between liquefying and saccharifying enzymes were explored, and the optimum production technology for liquid glucose was determined with a view of providing a theoretical foundation for the industrialized production of liquefied glucose.
详细地研究了液化、糖化条件对液体葡萄糖DE值、过滤性质的影响,考察了液化酶、糖化酶之间的相互作用,确定了液体葡萄糖的最佳生产工艺,为工业化生产液体葡萄糖提供了理论依据。
2.
Through the hydrolysis of α-amylase, rice was used to produce glucose and dextrin and the product can be used as fat substitute, the factors effect DE value such as quantity of amylase, temperature, time, pH value and concentration was studied.
以大米为原料,通过α-淀粉酶水解产生葡萄糖及小分子糊精等作为脂肪替代物,并探讨了酶量、温度、时间、pH值和浓度等因素对DE值的影响,通过正交试验确定最佳工艺条件,并选取了几个不同DE值的产品进行焙烤实验,以观产品性能。
3.
With the DE value at range of 2.
以木薯淀粉为原料 ,选用耐高温α -淀粉酶水解 ,采用正交试验和感官鉴评确定最佳工艺参数 ,即在pH 5 5、水解温度 95℃以下 ,以 1g/L酶浓度水解 10min ,可得到DE值在 2 0~ 2 5范围的木薯淀粉糊精 ,口感滑腻、色泽乳白或半透明状 ,可作为脱脂酸奶中的脂肪替代品 ,改善口感和组织状
参考词条
补充资料:得尔飞法(Delphi Method)
得尔飞法(Delphi Method):
系以一系列问卷向各类专家征询意见,依据所有专家对原问卷的答复再拟定下一份问卷,再次向各类专家征询意见,直到大多数专家的意见看法趋于一致才获至结论,此法预测通常较适合作长期预测。其主要步骤如下:
(a)成立一个团体委员确定问题及设计研究问卷。
(b)选择专家匿名质问预测。
(c)把质问的问题回答收回做成结果。
(d)反复再预测,把问题重新修整再做预测,如此反复预测至少2次以上。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。