SIFTER search: a web server for accurate phylogeny-based protein function prediction.

We are awash in proteins discovered through high-throughput sequencing projects. As only a minuscule fraction of these have been experimentally characterized, computational methods are widely used for automated annotation. Here, we introduce a user-friendly web interface for accurate protein function prediction using the SIFTER algorithm. SIFTER is a state-of-the-art sequence-based gene molecular function prediction algorithm that uses a statistical model of function evolution to incorporate annotations throughout the phylogenetic tree. Due to the resources needed by the SIFTER algorithm, running SIFTER locally is not trivial for most users, especially for large-scale problems. The SIFTER web server thus provides access to precomputed predictions on 16 863 537 proteins from 232 403 species. Users can explore SIFTER predictions with queries for proteins, species, functions, and homologs of sequences not in the precomputed prediction set. The SIFTER web server is accessible at http://sifter.berkeley.edu/ and the source code can be downloaded

The effect of stock market on the company’s investment in Iran (Price Informativeness Perspective)

This study investigates the effect of stock market on the company's investment in Iran from the price informativeness perspective. The objective of this study is to explain the effect of the stock market performance, including corporate governance and informative roles, on the company’s investment in Iran using the price informativeness criterion; also to explain the effect of basic principles of the company on investment. This study is conducted using multivariate regression level model. The price informativeness is estimated using price synchronization combined with the transparency of information. The population in this study is companies listed in Tehran Stock Exchange during 2004 to 2011. Systematic elimination method is used to determine the samples, and finally, 77 companies are studied. The results of regression analysis are using analyzed different statistical tests, including t and f tests. The results indicate that the stock market performance has no effect on investment from the price informativeness perspective

Momentum space calculations of the binding energies of argon dimer

The binding energies of argon dimer are calculated by solving the homogeneous Lippmann-Schwinger integral equation in momentum space. Our numerical analysis using two models of argon-argon interaction developed by Patkowski {\it et al.} confirms not only the eight argon dimer vibrational levels of the ground state of argon dimer (i.e. for $j=0$) predicted by other groups but also provides a very precise means for determining the binding energy of the ninth state which its value is a matter of discussion. Our calculations have been also extended to states with higher rotational quantum number $j$ and we have calculated the energy of all 174 bound states for both potential models. Our numerical results for vibrational levels of the ground state of argon dimer are in excellent agreement with other theoretical calculations and available experimental data

The effect of stock market on the company’s investment in Iran (Price Informativeness Perspective)

This study investigates the effect of stock market on the company's investment in Iran from the price informativeness perspective. The objective of this study is to explain the effect of the stock market performance, including corporate governance and informative roles, on the company’s investment in Iran using the price informativeness criterion; also to explain the effect of basic principles of the company on investment. This study is conducted using multivariate regression level model. The price informativeness is estimated using price synchronization combined with the transparency of information. The population in this study is companies listed in Tehran Stock Exchange during 2004 to 2011. Systematic elimination method is used to determine the samples, and finally, 77 companies are studied. The results of regression analysis are using analyzed different statistical tests, including t and f tests. The results indicate that the stock market performance has no effect on investment from the price informativeness perspective

The effect of stock market situation on investment among Iranian firms

This study investigates the effect of stock market on the firm's investment in Iran from the price informativeness perspective. The objective of this study is to explain the effect of the stock market performance, including corporate governance and informative roles on the firm's investment in Iran using the price informativeness criterion and to explain the effect of basic principles of the firm on investment. This study was conducted using multivariate regression Change model. The price informativeness was estimated using price synchronization combined with the transparency of information. The population included the firms listed in Tehran Stock Exchange during 2004 to 2011. Systematic elimination method was used to determine the samples, and finally, 77 firms were studied. The data were analyzed by using analyzed different statistical tests, including t , f and wong tests. The results indicated that the stock market performance has no effect on firm's investment from the price informativeness perspective

The effect of stock market on the company’s investment in Iran (Price Informativeness Perspective)

This study investigates the effect of stock market on the company's investment in Iran from the price informativeness perspective. The objective of this study is to explain the effect of the stock market performance, including corporate governance and informative roles, on the company’s investment in Iran using the price informativeness criterion; also to explain the effect of basic principles of the company on investment. This study is conducted using multivariate regression level model. The price informativeness is estimated using price synchronization combined with the transparency of information. The population in this study is companies listed in Tehran Stock Exchange during 2004 to 2011. Systematic elimination method is used to determine the samples, and finally, 77 companies are studied. The results of regression analysis are using analyzed different statistical tests, including t and f tests. The results indicate that the stock market performance has no effect on investment from the price informativeness perspective

The effect of stock market situation on investment among Iranian firms

This study investigates the effect of stock market on the firm's investment in Iran from the price informativeness perspective. The objective of this study is to explain the effect of the stock market performance, including corporate governance and informative roles on the firm's investment in Iran using the price informativeness criterion and to explain the effect of basic principles of the firm on investment. This study was conducted using multivariate regression Change model. The price informativeness was estimated using price synchronization combined with the transparency of information. The population included the firms listed in Tehran Stock Exchange during 2004 to 2011. Systematic elimination method was used to determine the samples, and finally, 77 firms were studied. The data were analyzed by using analyzed different statistical tests, including t , f and wong tests. The results indicated that the stock market performance has no effect on firm's investment from the price informativeness perspective