1,093 research outputs found
Frequency and Pattern of Gynecological Cancers in Federal Teaching Hospital, Abakaliki, Nigeria
Background: Gynecological cancers are common and are among the leading causes of cancer‑related deaths worldwide. Aim: The objective of this study was to determine the pattern and relative frequencies of gynecological cancers as seen at the Federal Teaching Hospital, Abakaliki, Nigeria. Materials and Methods: A 2‑year retrospective study of female genital tract malignancies was conducted at the Federal Teaching Hospital, Abakaliki. The case notes of patients admitted for female genital tract malignancy between January 1, 2012 and December 31, 2013 were retrieved from the ward admissions and discharge books and the operating theater record books. The data were analyzed using Statistical Package for Social Science (SPSS), IBM SPSS statistics Version 20, IBM incorporation and licensors 1989,2011 New York USA and the results expressed in descriptive statistics by simple percentages. Result: A total of 1,178 women were seen during the study period, while 99 were found to have gynecological malignancy. The proportion of gynecological malignancies was 8.4%. Majority of the patients were in the 5th and 6th decades of life, most (60.6%) had cervical cancer, followed by ovarian cancer (19.2%), endometrial cancer (10.1%) vulva cancer (7.1%), and the least was choriocarcinoma (3.0%). Tumors of fallopian tube and vagina were not seen during the study period. Majority of the patients presented late and the common presentation was vaginal bleeding. Conclusion: Despite the preventable nature of cancer of cervix, it remained the most common female genital tract malignancy in Abakaliki, southeast Nigeria. Education and public enlightenment on the importance of routine screening and treatment of premalignant lesions of the cervix are necessary tools to reduce the incidence and mortality of cervical cancer.KEY WORDS: Abakaliki, cancer, frequency, gynecologic, gynecological cancer, Nigeria, patter
Acute severe non-traumatic muscle injury following reperfusion surgery for acute aortic occlusion: case report
Acute aortic occlusion is a rare but catastrophic disease with a high mortality rate. Severe perioperative complications could result from revascularization of infarcted muscles. Muscle cell ischaemia and massive volume cell death lead to the release of myoglobin, potassium, and lactic acid, which could be fatal if not recognised or treated early. We highlight the life-threatening adverse effects resulting from bulk tissue infarction from non-traumatic causes such as aortic occlusion followed by the metabolic sequelae of reperfusion. This is similar to the pathophysiology of traumatic crush injuries and rhabdomyolysis. The case highlights the vigorous pre-emptive treatment of acidosis and hyperkalaemia required during surgical revascularisation to potentially avert adverse surgical outcomes in acute aortic obstruction
Prevalence and Parasite Density of Asymptomatic Malaria Parasitemia among Unbooked Paturients at Abakaliki, Nigeria
Background: Malaria in pregnancy has contributed significantly to maternal morbidity and mortality in our environment.Aim: This study was aimed at determining the prevalence, and parasite density of asymptomatic malaria parasitemia among unbooked paturients at Federal Teaching Hospital Abakaliki. Subjects and Methods: This was a prospective cross‑sectional study conducted in the labor ward complex of the Federal Teaching Hospital Abakaliki over a period of three months from March to May 2012. Two hundred and fifty unbooked women presenting in labor at term and willing to participate were consecutively recruited. A structured data collection sheet was administered to each parturient. Thick and thin blood films were prepared for quantification and speciation of parasitemia respectively. Results: A total of 250 unbooked parturients participated in the study. The mean age of the parturients was 28.2 (7.2) years. One hundred and seven 107/250 (42.8%) were primigravid, 111/250 (44.4%) were between para 1‑4 while 32/250 (12.8%) were para 5 and above. Majority of the parturients 236/250 (95.2%) were of low socio‑economic class. The prevalence of asymptomatic malaria parasitemia was 77.6%. Asymptomatic malaria parasitemia was most prevalent among paturients of social class 5 (24/32 (75%) and primigravid paturients (93/107 (86.9%)) and the association of asymptomatic malaria parasitemia with parity (χ2 = 10.8, P = 0.01) and social class (χ2 = 10.88, P = 0.02) was statistically significant. Conclusion: There was high prevalence of asymptomatic malaria parasitemia in the study. Preconceptional care and early antenatal booking are advocated with emphasis on prevention of malaria infestation through health education and effective use of insecticide treated nets and intermittent prophylaxis therapy for malaria during pregnancy.Keywords: Asymptomatic malaria parasitemia, Nigeria, prevalence, unbooked paturient
Work-related psychological health among clergywomen in Australia
Drawing on the classic model of balanced affect, the Francis Burnout Inventory conceptualises good work-related psychological health among clergy in terms of negative affect being balanced by positive affect. This paper sets out to explore the relationship between work-related psychological health and psychological type (as assessed by the Francis Psychological-Type Scales) among a sample of 212 Australian clergywomen who completed the National Church Life Survey Form L in 2006. The data supported the internal consistency reliability of the Francis Burnout Inventory and Francis Psychological-Type Scales and found that work-related psychological health was positively related to extraversion and sensing
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A perturbation expansion approach to solving the electromagnetic induction problem in three dimensions.
We address the electromagnetic induction problem for fully 3D geologic media and present a solution to the governing Maxwell equations based on a power series expansion. The coefficients in the series are computed using the adjoint method assuming an underlying homogeneous reference model. These solutions are available analytically for point dipole source terms and lead to rapid calculation of the expansion coefficients. First order solutions are presented for a model study in petroleum geophysics composed of a multi-component induction sonde proximal to a fault within a compartmentalized hydrocarbon reservoir
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Higher-order web link analysis using multilinear algebra.
Linear algebra is a powerful and proven tool in web search. Techniques, such as the PageRank algorithm of Brin and Page and the HITS algorithm of Kleinberg, score web pages based on the principal eigenvector (or singular vector) of a particular non-negative matrix that captures the hyperlink structure of the web graph. We propose and test a new methodology that uses multilinear algebra to elicit more information from a higher-order representation of the hyperlink graph. We start by labeling the edges in our graph with the anchor text of the hyperlinks so that the associated linear algebra representation is a sparse, three-way tensor. The first two dimensions of the tensor represent the web pages while the third dimension adds the anchor text. We then use the rank-1 factors of a multilinear PARAFAC tensor decomposition, which are akin to singular vectors of the SVD, to automatically identify topics in the collection along with the associated authoritative web pages
Which circulating antioxidant vitamins are confounded by socioeconomic deprivation? The MIDSPAN family study
<p><b>Background:</b> Antioxidant vitamins are often described as having “independent” associations with risk of cancer, cardiovascular disease (CVD) and mortality. We aimed to compare to what extent a range of antioxidant vitamins and carotenoids are associated with adulthood and childhood markers of socioeconomic deprivation and to adverse lifestyle factors.</p>
<p><b>Methods and Findings:</b> Socioeconomic and lifestyle measures were available in 1040 men and 1298 women from the MIDSPAN Family Study (30–59 years at baseline) together with circulating levels of vitamins A, C, E, and carotenoids (α-carotene, β-carotene, lutein and lycopene). Markers of socioeconomic deprivation in adulthood were consistently as strongly associated with lower vitamin C and carotenoid levels as markers of adverse lifestyle; the inverse association with overcrowding was particularly consistent (vitamin C and carotenoids range from 19.1% [95% CI 30.3–6.0] to 38.8% [49.9–25.3] lower among those in overcrowded residencies). These associations were consistent after adjusting for month, classical CVD risk factors, body mass index, physical activity, vitamin supplements, dietary fat and fibre intake. Similar, but weaker, associations were seen for childhood markers of deprivation. The association of vitamin A or E were strikingly different; several adult adverse lifestyle factors associated with higher levels of vitamin A and E, including high alcohol intake for vitamin A (9.5% [5.7–13.5]) and waist hip ratio for vitamin E (9.5% [4.8–14.4]), with the latter associations partially explained by classical risk factors, particularly cholesterol levels.</p>
<p><b>Conclusions:</b> Plasma vitamin C and carotenoids have strong inverse associations with adulthood markers of social deprivation, whereas vitamin A and E appear positively related to specific adverse lifestyle factors. These findings should help researchers better contextualize blood antioxidant vitamin levels by illustrating the potential limitations associated with making causal inferences without consideration of social deprivation.</p>
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SWEIS annual review - CY2002 : a comparison of CY2002 operations to projections included in the site-wide environmental impact statement for continued operation of Sandia National Laboratories/New Mexico.
The SNL/NM CY2002 SWEIS Annual Review discusses changes in facilities and facility operations that have occurred in selected and notable facilities since source data were collected for the SNL/NM SWEIS (DOE/EIS-0281). The following information is presented: {sm_bullet} An updated overview of SNL/NM selected and notable facilities and infrastructure capabilities. {sm_bullet} An overview of SNL/NM environment, safety, and health programs, including summaries of the purpose, operations, activities, hazards, and hazard controls at relevant facilities and risk management methods for SNL/NM. {sm_bullet} Updated base year activities data, together with related inventories, material consumption, emissions, waste, and resource consumption. {sm_bullet} Appendices summarizing activities and related hazards at SNL/NM individual special, general, and highbay laboratories, and chemical purchases
Validating module network learning algorithms using simulated data
In recent years, several authors have used probabilistic graphical models to
learn expression modules and their regulatory programs from gene expression
data. Here, we demonstrate the use of the synthetic data generator SynTReN for
the purpose of testing and comparing module network learning algorithms. We
introduce a software package for learning module networks, called LeMoNe, which
incorporates a novel strategy for learning regulatory programs. Novelties
include the use of a bottom-up Bayesian hierarchical clustering to construct
the regulatory programs, and the use of a conditional entropy measure to assign
regulators to the regulation program nodes. Using SynTReN data, we test the
performance of LeMoNe in a completely controlled situation and assess the
effect of the methodological changes we made with respect to an existing
software package, namely Genomica. Additionally, we assess the effect of
various parameters, such as the size of the data set and the amount of noise,
on the inference performance. Overall, application of Genomica and LeMoNe to
simulated data sets gave comparable results. However, LeMoNe offers some
advantages, one of them being that the learning process is considerably faster
for larger data sets. Additionally, we show that the location of the regulators
in the LeMoNe regulation programs and their conditional entropy may be used to
prioritize regulators for functional validation, and that the combination of
the bottom-up clustering strategy with the conditional entropy-based assignment
of regulators improves the handling of missing or hidden regulators.Comment: 13 pages, 6 figures + 2 pages, 2 figures supplementary informatio
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