Background: Infection with sexually
transmitted diseases is broad and includes
bacterial, viral and protozoa infection.
Large number of infected people goes
untreated because of symptomatic or
unrecognized infections.
Patients and methods: Forty five
patients was complaining from infertility
(primary or secondary), consulting
Kammal El-Sammari Hospital for
infertility from May - 2008 to February -
2009. Control group consisted of twenty
fertile women that consulting private clinic
for checking. Four swabs were taken from
each woman in two groups. Two swabs
were taken from posterior fornix of the
vagina (High vaginal swab) and the last
two were taken from endocervical canal.
First swab (vagina and cervix) was
examined directly under light microscope
(wet mount) and stained by Gram stain.
The other swab was cultured on Blood and
Chocolate agar.
Results: The patients group consisted
from forty-five female patients, their aged
ranged from (22-45 years), (X= 32.9).
Direct examination (wet mount) and Gram
staining of high vaginal swab showed
significant increased in leukocyte (pus
cells) and epithelial cells in infertile group
than normal one. The isolated bacteria
from culture of high vaginal swab were
Streptococcus agalactiae (group B
streptococci) which was significantly
increased than fertile group. This bacteria
was sensitive to Cephaloxtin and
Cephotaxime and resistant to Penicillin
Conclusions: The isolated bacteria from
culture of high vaginal swab were
Streptococcus agalactiae (group B
streptococci). This bacteria was sensitive
to Cephaloxtin and Cephotaxime and
resistant to Penicillin .
With the vast usage of network services, Security became an important issue for all network types. Various techniques emerged to grant network security; among them is Network Intrusion Detection System (NIDS). Many extant NIDSs actively work against various intrusions, but there are still a number of performance issues including high false alarm rates, and numerous undetected attacks. To keep up with these attacks, some of the academic researchers turned towards machine learning (ML) techniques to create software that automatically predict intrusive and abnormal traffic, another approach is to utilize ML algorithms in enhancing Traditional NIDSs which is a more feasible solution since they are widely spread. To upgrade t
... Show MoreMCM-48 zeolites have unique properties from the surfaces and structure point of view as it’s shown in the results ,and unique and very sensitive to be prepared, have been experimentally prepared and utilized as a second-generation/ acid - catalyst for esterification reactions of oleic acid as a model oil for a free fatty acid source with Ethanol. The characterization of the catalyst used in the reaction has been identified by various methods indicating the prepared MCM-48 is highly matching the profile of common commercial MCM-48 zeolite. The XRF results show domination of SiO2 on the chemical structure with 99.1% and agreeable with the expected from MCM-48 for it's of silica-based, and the SEM results show the cubic c
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