BACKGROUND Plant extracts and oils may act as alternatives to conventional pesticides for malaria vector control. The aim of this study was to evaluate the larvicidal activity of essential oils of three plants of Apiaceae family against Anopheles stephensi, the main malaria vector in Iran. METHODS Essential oils from Heracleum persicum, Foeniculum vulgare and Coriandrum sativum seeds were hyd...

Background—The pharmacological treatment of essential tremor (ET) is not optimal. There are only two first-line medications and troublesome side effects are common. It is not uncommon for patients to simply stop taking medication. Yet no published data substantiate or quantify this anecdotal impression. Objectives—To determine, among ET patients who were prescribed medication for tremor, what p...

Essential tremor (ET) is one of the most common movement disorders in the world, with prevalence rates in the general population ranging from 0.4% to 4.6%. The incidence of ET increases with age, with the average age at onset in mid-to-late 40s. ET is estimated to affect as many as 7 to 10 million Americans. Clinically, ET is characterized by bilateral, symmetric, postural tremor in hands and f...

Surgical intervention as a means of attack in the treatment of both the benign and malignant forms of so-called essential hypertension has received active consideration in this country for the past several years. The experiences of the various workers are available in the literature and the types of operative procedures employed are more or less familiar to all. This work is now in its sixth ye...

Splenomegaly is a common sign of primary myelofibrosis (PMF), post-polycythemia vera myelofibrosis (post-PV MF), and post-essential thrombocythemia myelofibrosis (post-ET MF) that is associated with bothersome symptoms, which have a significant negative impact on patients' quality of life. It may also be present in patients with advanced polycythemia vera (PV) or essential thrombocythemia (ET)....

Accurately predicting essential genes is important in many aspects of biology, medicine and bioengineering. In previous research, we have developed a machine learning based integrative algorithm to predict essential genes in bacterial species. This algorithm lends itself to two approaches for predicting essential genes: learning the traits from known essential genes in the target organism, or t...