The study was conducted to determine the effect Toxoplasma gondii and the efficacy of azithromycin and garlic tablets on the treatment of acute murine toxoplasmosis and observe the histopathological changes due to infection. 60 Albino mice were divided into six groups, and their survival rate, pathology, bioassay trial and immunofluorescence were observed. Results revealed that azithromycin (250 mg/kg/day) given to infected mice increased the survival rate (90% on day 7 PI) and decreased the histopathological changes when compared with the control groups. Garlic tablets (500 mg/kg/day) had lesser effect on infected mice, and the survival rate (40% at days 6 and 7 PI) was lower than the groups treated with azithromycin. The group treated with azithromycin had better histopathological pictures when compared with the group treated with garlic. Subinoculations of healthy mice with visceral and brain suspensions from surviving mice treated with azithromycin or garlic and untreated mice were performed and resulted to the mortality of all mice inoculated with visceral and brain suspensions of untreated animals. It is concluded that azithromycin has a significant effect in treatment of murine model toxoplasmosis, but it does not eradicate the parasite completely as few cysts remain in the brain, while garlic tablets has limited on toxoplasmosis.
The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of
... Show MoreIn this work, an efficient energy management (EEM) approach is proposed to merge IoT technology to enhance electric smart meters by working together to satisfy the best result of the electricity customer's consumption. This proposed system is called an integrated Internet of things for electrical smart meter (2IOT-ESM) architecture. The electric smart meter (ESM) is the first and most important technique used to measure the active power, current, and energy consumption for the house’s loads. At the same time, the effectiveness of this work includes equipping ESM with an additional storage capacity that ensures that the measurements are not lost in the event of a failure or sudden outage in WiFi network. Then then these
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в статье рассматриваются проблемы преподавания русской литературы в иракской аудитории.. Использование литературы в преподавании иностранного языка, как правило, имеет две цели. Первая-чисто лингвистическая .. Вторая цель, однако, ассоциируется больше с экстралингвистикой и представляет собой ознакомление студентов с различными аспектами русской жизни, культуры,
... Show MoreBackground: Adipose derived-mesenchymal stem cells have been used as an alternative to bone marrow cells in this study. Objective: We investigated the in vitro isolation, identification, and differentiation of stem cells into neuron cells, in order to produce neuron cells via cell culture, which would be useful in nerve injury treatment. Method: Mouse adipose mesenchymal stem cells were dissected from the abdominal subcutaneous region. Neural differentiation was induced using β-mercaptoethanol. This study included two different neural stage markers, i.e. nestin and neurofilament light-chain, to detect immature and mature neurons, respectively. Results: The immunocytochemistry results showed that the use of β-mercaptoethanol resulted in
... Show MoreThe aim of study was to explore pharmacist insights toward the impact of prospective implementation of the national health insurance program on patients, providers and Iraqi health system.
This was a qualitative study including semi-structured face-to-face (mostly) interviews with experienced pharmacists. The interview guide included open-ended questions about the impact of the national health insurance program on patients and healthcare providers at three levels: quality of services, costs, and frequency of visits. Potential challenges were also discussed. Interviews were conducted in four provinces from March to May 2022. Thematic analysis was used to analyze the interview findings and generate themes and subthemes.
The
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