The method for the determination of creep cavitation model based on cavity histogram

AbstractA computer model based on the finite element method has been applied to evaluate the effect of the parasitic area between contact and diffusion edges on end resistance measurements in four terminal Kelvin resistor structures. The model is then applied to Al/Ti/n+ Si contacts and a value of contact resistivity of Qc = 1.8×10−7.Ωcm2 is derived. For comparison, the use of a self-aligned structure to avoid parasitic effects is presented and the first experimental results obtained on Al/Ti/n+Si and Al/CoSi2/n+Si contacts are shown and discussed.

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A new cavitation model based on bubble-bubble interactions

Physics of Fluids ◽

10.1063/1.5052257 ◽

2018 ◽

Vol 30 (12) ◽

pp. 123301 ◽

Cited By ~ 14

Author(s):

M. Adama Maiga ◽

O. Coutier-Delgosha ◽

D. Buisine

Keyword(s):

Cavitation Model ◽

Bubble Interactions ◽

Model Based

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Model Based Soft-Sensor for On-Line Determination of Substrate

Proceedings of the Twenty-Fifth Symposium on Biotechnology for Fuels and Chemicals Held May 4–7, 2003, in Breckenridge, CO ◽

10.1007/978-1-59259-837-3_12 ◽

2004 ◽

pp. 137-144

Author(s):

Andréa M. Salgado ◽

Rossana O. M. Folly ◽

Belkis Valdman ◽

Francisco Valero

Keyword(s):

Soft Sensor ◽

Model Based ◽

On Line

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A Statistical Approach to Model the H-Index Based on the Total Number of Citations and the Duration from the Publishing of the First Article

Complexity ◽

10.1155/2021/6351836 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Mohammad Reza Mahmoudi ◽

Marzieh Rahmati ◽

Zulkefli Mansor ◽

Amirhosein Mosavi ◽

Shahab S. Band

Keyword(s):

Nonlinear Regression ◽

Research Funding ◽

Statistical Approach ◽

Practical Approach ◽

H Index ◽

Model Based ◽

Funding Agencies ◽

Number Of Citations ◽

The Impact

The productivity of researchers and the impact of the work they do are a preoccupation of universities, research funding agencies, and sometimes even researchers themselves. The h-index (h) is the most popular of different metrics to measure these activities. This research deals with presenting a practical approach to model the h-index based on the total number of citations (NC) and the duration from the publishing of the first article (D1). To determine the effect of every factor (NC and D1) on h, we applied a set of simple nonlinear regression. The results indicated that both NC and D1 had a significant effect on h ( p < 0.001). The determination of coefficient for these equations to estimate the h-index was 93.4% and 39.8%, respectively, which verified that the model based on NC had a better fit. Then, to record the simultaneous effects of NC and D1 on h, multiple nonlinear regression was applied. The results indicated that NC and D1 had a significant effect on h ( p < 0.001). Also, the determination of coefficient for this equation to estimate h was 93.6%. Finally, to model and estimate the h-index, as a function of NC and D1, multiple nonlinear quartile regression was used. The goodness of the fitted model was also assessed.

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