Background: Acute myocardial infarction
(AMI) is one of the most common diagnoses
in hospitalized patients. The stimulus that
initiates the acute inflammatory process in AMI
has not been identified. Conventional risk
factors account only for approximately half of
the patients with clinically apparent
atherosclerosis which can leads to AMI.
Recently a potential link between infectious
agents and atherosclerosis has been suggested
Objective: To find a possible association
between Helicobacter pylori (H. Pylori)
infection and AMI.
Method: We studied the prevalence of antiH. pylori antibodies in 94 patients who were
admitted with the diagnosis of AMI and a
similar number of healthy individuals who were
age and sex matched. This was done using
ELISA technique.
Results: Overall prevalence of anti-H. pyroli
antibodies in patients with AMI was 82.9%
whereas the prevalence in the control group
was 78.7% . This difference yielded an odd ratio
of 1.317. Chi square test shows that this
difference was insignificant statistically (p-value
0.458)
Conclusion: We feel that our results do not
support the hypothesis which stated that chronic
infection with H. pylori is a major risk factor for
AMI.
Three Schiff bases from Benzaldehyde and Salicylaldehyde have been synthesized (A, 1and 2) and two of them (1and 2) have been tested for anti-inflammatory activity. The p-aminobenzene sulfonamide has been synthesized from acetanilide through the addition of excess chlorosulfonic acid then concentrated ammonia solution; Schiff base of this derivative (2) exhibited good level of activity against egg-white induced edema in rat hind paw, while the other tested derivative exhibited no activity.
Key words: Schiff bases, sulfonamide derivatives, salicylaldehyde
(4)
Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting AD
... Show More
(14)
(9)
Portulacaria afra is a small succulent tree, previously belonging to the Portulacaceae family, but with further studies, the plant transferred to the Didieracea family. P. afra was used as an ornamental, vegetable, and ethnomedicinal plant. Uses of the plant by rural South Africans to treat chronic skin conditions and rashes, alleviate exhaustion, and aid in treating TB and diarrhea have been documented in folklore. According to pharmaceutical research, plant extracts off er a wide range of remedial outcomes, such as antidiabetic, antifungal, antibacterial, anticancer, antioxidant, and anti-infl ammatory. The study aims to determine some bioactive constituents responsible for pharmacological activities and traditional usefulness. Th
... Show More
(3)
(7)
(6)
(5)
(8)
(11)
(8)
Optimizing system performance in dynamic and heterogeneous environments and the efficient management of computational tasks are crucial. This paper therefore looks at task scheduling and resource allocation algorithms in some depth. The work evaluates five algorithms: Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Firefly Algorithm (FA) and Simulated Annealing (SA) across various workloads achieved by varying the task-to-node ratio. The paper identifies Finish Time and Deadline as two key performance metrics for gauging the efficacy of an algorithm, and a comprehensive investigation of the behaviors of these algorithms across different workloads was carried out. Results from the experiment
... Show More
(2)
(1)
(13)
(9)
The process for preparing activated carbon (AC) made from tea residue was described in this paper. Investigated were the physicochemical characteristics and adsorption efficiency of the produced AC. Activation with potassium hydroxide (KOH) and carbonization at 350 °C are the two key steps in the manufacturing of AC. The activated carbon was used to adsorb Tetracycline (TC). Different parameters were studied at room temperature to show their effects on the adsorption efficiency of TC. These parameters are the initial concentration of adsorbate TC, solution acidity pH, time of adsorption, and adsorbent dosage. The prepared active carbon was characterized using Fourier transform infrared spectroscopy (FTIR), scanning electron microsc
... Show More
(5)
(2)
(5)
(8)