Background: Dyslipidemia is a major cause of
cardiovascular disease, which in turn, is the most
common cause of female morbidity and mortality.
Postmenopausal women (natural and surgical) are at
higher risk of developing cardiovascular disease,
especially coronary artery atherosclerosis.
Objective: To observe the relationship between blood
lipids: total cholesterol (TC), high density lipoproteincholesterol (HDL-C), low density lipoproteincholesterol (LDL-C), triglycerides (TGs), and very low
density lipoprotein- cholesterol (VLDL-C), LDL-C/
HDL-C ratio (atherogenic index) and menopausal
status, and to determine the co-factors that may explain
this relationship
Methods: A prospective, cross-sectional study, which
includes 279 women, age range from 35-55 years
agreed to participate in this study. They were divided
into 4 groups according to their menopausal status.
These were pre-, peri post- natural and surgical postmenopausal. Data were collected from participants in a
pre-coded questionnaire and an overnight fasting blood
sample was collected for biochemical analysis.
Results: Postmenopausal women had higher levels of
lipids than pre or peri-menopausal. TC concentration
and LDL-cholesterol levels were higher in natural and
surgical menopause than in pre and pri-menopausal
women (p<0.01 and p<0.05 respectively). While
LDL/HDL-C ratio (atherogenic index) were higher in
the surgical postmenopausal women than in premenopausal group (p<0.05). No significant inter-group
differences were found in HDL-C. Triglycerides, and
VLDL levels were higher in surgical menopause group
than in both pre- and peri-menopause groups (p<0.05).
No significant differences were demonstrated in pre-,
peri-, and natural menopausal women with regard to
triglyceride and VLDL levels and LDL/HDL-C ratio.
Conclusion : Dyslipidemia is more frequent among
women with natural and surgical menopause groups
than in the other groups. This makes those women
more susceptible to CVD. Certain co factors appear to
have direct associations with lipid levels in each group
and those were discussed.
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A total of 54 out of 67 (80.59%) of burn wound swab showed growth of one, or two, or three bacterial pathogens. Pseudomonas aeruginosa was the commonest pathogen, isolated in 48.14% of swab samples, followed by Klebsiella pneumoniae (31.48%), Staphylococcus aureus (27.77%), Acinetobacter baumanii (14.81%), Escherichia coli (7.40%), and Citrobacter freundii, Providencia stuartii, Enterobacter cloacae, with 1.85% isolation percentage for each. All bacterial isolates were tested against 19 antibiotics, and showed multi-drug resistance to 10 antibiotics, or more. The most effective antibiotics were the fifth-generation cephalosporin, ceftobiprole, and and antibiotic combinations, as Ceftazidime / clavulanic acid, and Cefoperazone /sulbactam, an
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In this paper, the deterministic and the stochastic models are proposed to study the interaction of the Coronavirus (COVID-19) with host cells inside the human body. In the deterministic model, the value of the basic reproduction number determines the persistence or extinction of the COVID-19. If , one infected cell will transmit the virus to less than one cell, as a result, the person carrying the Coronavirus will get rid of the disease .If the infected cell will be able to infect all cells that contain ACE receptors. The stochastic model proves that if are sufficiently large then maybe give us ultimate disease extinction although , and this facts also proved by computer simulation.
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The integration of arti cial intelligence (AI), whether through devices or software, has become a critical tool in analyzing and evaluating technical performance. AI signi cantly contributes to enhancing athletic performance by enabling accurate data analysis and supporting educators in developing effective training programs and interactive curricula. This study addresses a noticeable gap in the literature regarding the attitudes and inclinations of educators toward AI in physical education and sport sciences—a gap often attributed to limited awareness and lack of access to moderntechnologies.Theprimaryaimofthestudyistoexaminethetendenciesandperceptionsoffemaleinstructorsin physical education and sport sciences toward the use of AI
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In recent years and decades, there is a great need for developing new alternative energy sources or renewable sustainable energy. On the other hand, new technology approaches are growing . towards benefits from the valuable nutrients in wastewater which are unrecoverable by traditional wastewater treatment processes. In the current study, a novel integrated system of microbial fuel cell and anoxic bioreactor (MFC-ANB) was designed and constructed to investigate its potential for slaughterhouses wastewater treatment, nitrogen recovery, and power generation. The system consisted of a double-chamber tubular type MFC with biocathode inoculated with freshly collected activated sludge. The MFC-ANB system was continuously fed with real-fi
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Thin films of pure polycarbonate (PC) with anthracene doping PC films for different doping ratios (10, 20, 30, 40, 50 and 60 ml) were prepared by using a casting method. The influence of anthracene doping ratio on photo-fries rearrangement of polycarbonate was systematic investigated. Furthermore, pure PC and anthracene doping PC films were irradiated via UV light at a wavelength (254 nm) for different periods (5, 240, 288, and 360 hrs). The photo-fries rearrangement occurring in pure PC and anthracene doping PC films were monitored using UV and FTIR spectroscopies. The photo-fries rearrangement leads to scission the carbonate linkage and formation phenylsalicylate and dihydroxybenzophenes. The result of the UV spectrum confirms disappea
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