8,558 research outputs found
Assessment of prediction models for dividing two-phase flow at small T-junctions
No full textThe header/channels assembly of a compact heat exchanger can be simulated as an accumulation of small T-junctions. Previous researches showed that the dividing flow characteristics in the small T-junctions are different from those in large T-junctions. The objective of the present study is to evaluate the prediction models for a dividing two-phase annular flow in a small T-junction (less than 10 mm in hydraulic diameter) reported previously by comparing them with the experimental data. The model of Hwang et al. (1988) best fits the measured results. This is considered due to smaller difference between the dividing streamlines of gas and liquid at the junction with the smaller channel size, which is well represented by the curvature model of Hwang et al. (1988). ？ 2005 R.T. Edwards, Inc
J.K. Rowling: Her Life and Works
No full textBiographical information on author J.K. Rowling, a bibliography of her works, and a selection of her tweets
J.K. Rowling: Her Life and Works
No full textBiographical information on author J.K. Rowling, a bibliography of her works, and a selection of her tweets
DS_10.1177_0022034518818479 – Supplemental material for Surgical Therapy of Peri-Implantitis with Local Minocycline: A 6-Month Randomized Controlled Clinical Trial
No full textSupplemental material, DS_10.1177_0022034518818479 for Surgical Therapy of Peri-Implantitis with Local Minocycline: A 6-Month Randomized Controlled Clinical Trial by J.K. Cha, J.S. Lee and C.S. Kim in Journal of Dental Research</p
Evolutionary stages of e-tailers and retailers: Firm value determinants model
No full textWe have studied the evolutionary stages of pure e-tailers, click & mortar (C & M) and brick & mortar (B & M) retailers for three points of time: June 1999, June 2000, and June 2001. To evaluate the dynamic stages of e-tailing business as an innovative venture, we propose four stages: exploration, breakeven, growth, and maturity. The stages are measured by the impact of revenue and income on the firm value, and a regression model is adopted to formulate the model. To empirically examine the stages of e-tailers and retailers, we have collected 14 e-tailers, 112 C & M, and 75 B & M from the U.S. stock markets. According to this study, the proposed stage model explains the evolution of pure e-tailers very meaningfully. E-tailers were in the late exploration stage in 1999, breakeven stage in 2000, and growth stage in 2001. Unlike our hypothetical expectation, the stage model could not adequately explain the effect of online business to C & M. In this regard, the impact of online channel to traditional retailers was not revolutionary. In 1999 and 2000, the primary contributing factor to firm value of C & M was income, but in 2001, it was revenue. According to this result, investors were very conservative to the risky investment on the click business of traditional retailers. However, it turned out that C & M has performed better than B & M in terms of revenue, income, income/revenue, stock price, and market capitalization. It is noteworthy that the revenue effect of C & M in 2001 was significantly higher than that of B & M
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