1) Activation(Inactivation) parameter
激活(失活)参数
2) deactivation function
失活函数
1.
The hydro-demetallization kinetic model and the expression of catalyst deactivation function were proposed on the base of appropriate hypothesis used in common kinetic research methods and the operation data from Maoming′s Residue Hydrodesulfurization Treatment Unit (S-RHT).
依据茂名渣油加氢工业装置(S-RHT)的大量实测数据,通过合理的模型假定,采用常规的动力学模型研究方法,建立了渣油加氢脱金属动力学模型和催化剂失活函数表达式。
2.
By adopting reasonable model assumption and common research method of kinetics model, residue hydrofining kinetics model and catalyst deactivation function formula have been established based on the faithful data of S-RHT unit in Maoming Company.
依据中国石油化工股份有限公司茂名分公司渣油加氢精制工业装置(S-RHT)的大量实测数据,通过合理 的模型假定,采用常规的动力学模型研究方法,建立了渣油加氢精制动力学模型和催化剂失活函数表达式。
3) failure activation energy
失效激活能
4) activation parameter
活化参数
1.
In Na 2CO 3 NaHCO 3 buffer solution, the apparent activation energy and activation parameters for cetyl trimethylammonium bromide (CTAB) micelle catalytic hydrolysis of p nitrophenyl propionate (NPP) have been measured, and the effects of inorganic salts (such as NaCl, NaBr and Na 2SO 4) on them have also been investigated.
在Ｎａ２ＣＯ３ＮａＨＣＯ３ 缓冲溶液中，测定了对硝基苯酚丙酸酯（ＮＰＰ）的十六烷基三甲基溴化铵（ＣＴＡＢ） 胶团催化反应的表观活化能和活化参数； 考察了无机盐（ＮａＣｌ， ＮａＢｒ，Ｎａ２ＳＯ４） 对该催化反应的影响。
2.
Meanwhile,the viscosity activation parameter is calculated,and the interaction between solute and solvent is discussed.
15 K温度范围内测定了BMIBF4离子液体水溶液粘度,计算了此离子液体粘度活化参数,讨论了此离子液体溶质-溶剂的相互作用。
5) culture parameters
酶活参数
6) activating function
激活函数
1.
A fast method and formula for computing activating function was provided.
给出一种激活函数快速计算方法和公式 ,推导出磁刺激作用下神经纤维的 Hodgkin- Hux-ley模型 ,并建立了神经兴奋与磁刺激仪电路参数之间的联系 。
2.
A modified cable equation and an activating function are obtained to describe the response of the neuraxon under the magnetic field based on the traditional model.
在传统电缆方程基础上,增加径向电场的作用,提出了一种能够描述磁场刺激神经轴突兴奋的改进的电缆方程和激活函数,仿真结果验证了其正确性。
3.
The method to avoid local minimum and the selections of learning method, learning step length, learning samples and activating function are introduced especially.
尤其对学习方法的选择、隐层数和隐层单元数的选择、学习步长的选择、避免局部最小的方法、学习样本的选择、激活函数的选择等都作了详细的介
补充资料：X染色体失活
X染色体失活
参看里昂假说。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条