Mildella intramarginalis var. serratifolia (Adiantaceae) elevated to species rank

Effective Learning to Rank Persian Web Content

Persian language is one of the most widely used languages in the Web environment. Hence, the Persian Web includes invaluable information that is required to be retrieved effectively. Similar to other languages, ranking algorithms for the Persian Web content, deal with different challenges, such as applicability issues in real-world situations as well as the lack of user modeling. CF-Rank, as a ...

Cardiac stimulant activity of bark and wood of Premna serratifolia

Cardiovascular disease incurs a greater economical constraint than any other illness especially in the developing countries. It is the most common cause of death by the year 2020. The risk factors for heart disease are family history, sex, increased lipid levels, diabetes mellitus, hypertension, obesity and cigarette smoking. There is overwhelming evidence indicating hypercholesterolemia and ot...

Approaches to VaR∗

Referring to related documents and papers, we implement several different approaches to compute the VaR of a delta-hedged portfolio constructed by 41 stocks and corresponding options. First we interpreted the concepts and techniques involved with our study. Then we discussed the details about both Historical Simulation and Monte Carlo Simulation, and pointed out their shortcomings through exper...

Testing for the cointegrating rank of a VAR process with structural shifts

Using expert opinion surveys to rank threats to endangered species: a case study with sea turtles.

Little is known about how specific anthropogenic hazards affect the biology of organisms. Quantifying the effect of regional hazards is particularly challenging for species such as sea turtles because they are migratory, difficult to study, long lived, and face multiple anthropogenic threats. Expert elicitation, a technique used to synthesize opinions of experts while assessing uncertainty arou...