Leishmaniasis is a widespread parasitic disease that occurs as a result of infection with a unicellular parasite belonging to the genus Leishmania. Diagnosis by conventional methods is inaccurate and is not sensitive to confirm the genus infection. Here, we have investigated a methods for Leishmania genus diagnosis, which includes the technique of polymerase chain reaction to detect the presence of the parasite at in vitro for promastigote cultures using three genus-specific primer pairs to amplify HSP70, ITS, and ITS2. The results showed single band of ~1422, ~1020, and ~550 respectively. This study has proved the ability of these primer pairs to detect Leishmania infection and recommend them to be used for detection of leishmaniasis in

Cutaneous leishmaniasis (CL) also known under local names like (tropical sore, oriental sore and Baghdad sore) is the most common form of leishmaniasis. It is a public health and a social problem in many developing countries. The Old World disease primarily is caused by Leishmania major in dry desert areas and Leishmania tropica in urban areas. Recently, metal oxide nanoparticales have been versatile platforms for biomedical applications and therapeutic interventions. There is an urgent need to develop new types of antileishmanial agents instead of classical drug (pentostam), especially, when its efficacy showed a decline towards some strains of Leishmania. Therefore, the present work was aimed to evaluating antileishmanial activity of z

The research investigates the term innovation and its role in elaborating architectural practice based on diffusion. The complexity of the architectural field compared with other fields shows a problem in explaining how innovations in architecture diffuse as a thought and act in a certain context of practice. Therefore, the research aims to build an intellectual model that explains the way personal thoughts resembled by unique models introduced by creative and innovator designers diffuse in a certain pattern elaborate these models into a state of prevailing thought resembled by the movement in architecture. The research will apply its model to the more comprehensive movement in architecture, which is the modern movement,

It emerged as the issue of counter - terrorism recently on international levels and internal as a result of the increase in terrorist acts and committed in various countries، resulting in loss of lives and money so concerned with countries in this issue and the need to combat and eliminate the negative destructive effects that have become affect the prestige and integrity of States and stability.

 As a result followed criminal legislation at the international and domestic incriminatory policy may be varied somewhat in order to confront terrorist crimes by criminalizing certain acts that constitute the crime of terrorist At the international level ، several global and regional international conventions held to combat this p

:Background: Many studies had stated that there are marked variations in the clinical presentation of depressive states between different cultures.Objectives: The main aim of the study is to identify the symptoms profile of patients with major depressive disorder living in Baghdad.Method: Ninety two patients with major depressive disorder consulting Ibn-Rushd psychiatric teaching hospital were studied thoroughly to identify the frequency of symptoms among them. The fifth edition of the Arabic version of the Mini-International Neuropsychiatric Interview (M.I.N.I) was used to identify the Diagnostic and Statistical Manual – fourth edition (DSM-IV) symptoms. A list of other symptoms, which were found to present variably in depression acco

Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise