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The Substitution Effect of Boron on Reentrant Behavior of Rapidly Solidified FeMnZr Alloys
Y. M. Moon,K. S. Kim,S. C. Yu,V. Srinivas 한국자기학회 2004 Journal of Magnetics Vol.9 No.4
The magnetization properties have been measured for amorphous Fe_(82)Mn_(8-x)BxZr_(10) (x = 0-8) alloys. The temperature dependence of magnetization for these alloys shows the existence of antiferromagnetic couplings between Fe atoms in low fields at low temperatures. The magnetic parameters, obtained from the magnetization behavior are consistent with the presence of mixed magnetic state. The Curie temperature and magnetic moment increased with an increase of the concentration of B and spin glass like transition observed at low temperature decreases and finally vanishes at x = 8 at%. Our result suggests that the substitution of B for Mn seems to cause an increase of magnetic order.
Heng, D. Y. C.,Choueiri, T. K.,Rini, B. I.,Lee, J.,Yuasa, T.,Pal, S. K.,Srinivas, S.,Bjarnason, G. A.,Knox, J. J.,MacKenzie, M.,Vaishampayan, U. N.,Tan, M. H.,Rha, S. Y.,Donskov, F.,Agarwal, N.,Kollma Oxford University Press 2014 ANNALS OF ONCOLOGY Vol.25 No.1
<P>This study focuses on the outcomes of a large international cohort of patients with metastatic RCC who would not have met the eligibility criteria for clinical trials and compares these to those that would have eligible. The proportion of patients who would have been ineligible and the reason for ineligibility are also discussed.</P>
A New Methodology for Software Reliability based on Statistical Modeling
Avinash S,Y.Srinivas,P.Annan naidu International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.9
Reliability is one of the computable quality features of the software. To assess the reliability the software reliability growth models(SRGMS) are used at different test times based on statistical learning models. In all situations, Tradational time-based SRGMS may not be enough, and such models cannot recognize errors in small and medium sized applications.Numerous traditional reliability measures are used to test software errors during application development and testing. In the software testing and maintenance phase, however, new errors are taken into consideration in real time in order to decide the reliability estimate. In this article, we suggest using the Weibull model as a computational approach to eradicate the problem of software reliability modeling. In the suggested model, a new distribution model is suggested to improve the reliability estimation method. We compute the model developed and stabilize its efficiency with other popular software reliability growth models from the research publication. Our assessment results show that the proposed Model is worthier to S-shaped Yamada, Generalized Poisson, NHPP.
An attempt to improve the poor performance characteristics of coconut oil for industrial lubricants
Suresh Babu Valeru,Y. Srinivas,K. N. S. Suman 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.4
Coconut oil is used as the base fluid for metal cutting applications because of its high natural properties compared to other vegetable oils. The major hindrances to extensive utilization of coconut oil compared to mineral oils for various metal cutting operations are its high pour point, low oxidation and thermal stability therefore further improvement in these aspects is much needed. In this work, a systematic approach to improve the cold flow behavior, oxidation and thermal stability of the coconut oil by the combination of chemical additive i.e 2,6 Di-tetra butyl phenol and diluents such as Poly alpha olefin4(PAO4), Poly (Ethylene co-vinyl acetate) (PPD) has been carried out. Based on the obtained results an improvement of cold flow behavior (least pour point) was observed with the addition of PAO4 and PPD with varying weight percentage combinations. Apart from this addition of 2, 6 Di-tetra butyl phenol as anti-oxidant (AO) in various weight percentage has led to an improvement of oxidation and thermal stability to the primarily modified coconut oil.
First-, second-, third-line therapy for mRCC: benchmarks for trial design from the IMDC
Ko, J J,Choueiri, T K,Rini, B I,Lee, J-L,Kroeger, N,Srinivas, S,Harshman, L C,Knox, J J,Bjarnason, G A,MacKenzie, M J,Wood, L,Vaishampayan, U N,Agarwal, N,Pal, S K,Tan, M-H,Rha, S Y,Yuasa, T,Donskov, Nature Publishing Group 2014 The British journal of cancer Vol.110 No.8
<P><B>Background:</B></P><P>Limited data exist on outcomes for metastatic renal cell carcinoma (mRCC) patients treated with multiple lines of therapy. Benchmarks for survival are required for patient counselling and clinical trial design.</P><P><B>Methods:</B></P><P>Outcomes of mRCC patients from the International mRCC Database Consortium database treated with 1, 2, or 3+ lines of targeted therapy (TT) were compared by proportional hazards regression. Overall survival (OS) and progression-free survival (PFS) were calculated using different population inclusion criteria.</P><P><B>Results:</B></P><P>In total, 2705 patients were treated with TT of which 57% received only first-line TT, 27% received two lines of TT, and 16% received 3+ lines of TT. Overall survival of patients who received 1, 2, or 3+ lines of TT were 14.9, 21.0, and 39.2 months, respectively, from first-line TT (<I>P</I><0.0001). On multivariable analysis, 2 lines and 3+ lines of therapy were each associated with better OS (HR=0.738 and 0.626, <I>P</I><0.0001). Survival outcomes for the subgroups were as follows: for all patients, OS 20.9 months and PFS 7.2 months; for those similar to eligible patients in the first-line ADAPT trial, OS 14.7 months and PFS 5.6 months; for those similar to patients in first-line TIVO-1 trial, OS 24.8 months and PFS 8.2 months; for those similar to patients in second-line INTORSECT trial, OS 13.0 months and PFS 3.9 months; and for those similar to patients in the third-line GOLD trial, OS 18.0 months and PFS 4.4 months.</P><P><B>Conclusions:</B></P><P>Patients who are able to receive more lines of TT live longer. Survival benchmarks provide context and perspective when interpreting and designing clinical trials.</P>