ISPH modeling of Rayleigh–Taylor instability

This paper presents a Smoothed Particle Hydrodynamics (SPH) solution to a Rayleigh-Taylor Instability (RTI) problem in an incompressible viscous two-phase immiscible fluid with an interfacial tension. The evolution of the fluid-fluid interface is numerically investigated for four different density ratios. The simulation outcomes are compared with existing results in literature. Three stages of instability, namely the exponential growth rate, the formation of circular form at the crest of spike and the appearance of the final shape of instability, are discussed for different density ratios. It is shown that the numerical algorithm used in this work is capable of capturing the complete physics behind the RTI, such as interface evolution, growth rate and secondary instability accurately, and successfully

CD20-targeting in B-cell malignancies: novel prospects for antibodies and combination therapies

Expression of CD20 antigen by the most of transformed B cells is believed to be the driving force for targeting this molecule by using anti-CD20 monoclonal antibodies. While it is true that most lymphoma/leukemia patients can be cured, these regimens are limited by the emergence of treatment resistance. Based on these observations, development of anti-CD20 monoclonal antibodies and combination therapies have been recently proposed, in particular with the aim to optimize the cytotoxic activity. Here we outline a range of new experimental agents concerning the CD20 positive B-cell tumors which provide high benefit from conventional therapy. © 2016, Springer Science+Business Media New York

Relationship between Government Budget Deficits and Inflation in the Iran's Economy

Government in the economy of a country is responsible for various duties and to do these tasks uses the budget and fiscal policy as a planning and control tools. Because the different goals of economic balance in macro level such as fixing prices and unemployment inhibit any economic program is the priority, so can the government is using funds that involve income and expenses of the government to direct economic in reaching their goals in macro level. In developing countries lacked the private sector are strong, the role of government and its dimensions are larger tasks. The basic aim of the paper is to analyze the Relationship between government budget deficits and inflation in the Iran's economy. According to the positive and significant coefficient of government budget deficit, if budget deficit change to one percent, the inflation rate will change to 1.82 percent

Learning to Rank Relevant Files for Bug Reports Using Domain knowledge, Replication and Extension of a Learning-to-Rank Approach

Bug localization is one of the most important stages of the bug fixing process. Bad practices make the debugging a tedious task. Investigating bugs can contribute up to a large portion of the aggregate cost for a software project. An automated strategy that can provide a ranked list of source code files with respect to how likely they contain the root cause of the problem would help the development teams to decrease the search space and leads to increase in the productivity. In this work, I have replicated the bug localization approach presented in \cite{ye2014learning} that applies the learning-to-rank technique to rank the relevant files for each bug. This technique applies domain knowledge by evaluating the textual similarity between bug reports and source code files and API specification documents plus bug fixing and code alteration history. For a given bug report, the ranking function is constructed based on the linear combination of weighted features where the features are trained on previously solved bug reports. In addition to replication of the mentioned technique, I have extended the study by evaluating the role of different text preprocessing techniques such as Stemming and Lemmatization and also a randomized selection of training folds on the overall performance of the ranking model. I found that Lemmatization of the words and randomized selection of the training folds have an adverse effect on the performance of the ranking model and consequently having lower accuracy and precision of the results