Investigation of Breast Cancer Risk Factors in northern states of Sudan using Logistic Regression Analysis

Background: Breast cancer is the most common type of cancers and  leading cause of death among women worldwide. In Sudan breast cancer is the most common type of cancer and its incidence has been rising for the past two decades.Objective: To investigate whether the breast risk factors of northern states (Northern and River Nile) are different from other states in Sudan.Methods: A case-control study was conducted in Radiation and Isotopes Centre Khartoum RICK targeting the breast cancer patients who came to get treatment or follow-up during 2010. A total of 60 breast cancer patients from northern states and 60 control breast cancer patients from other Sudan states were interviewed using purposively designed questionnaires. Logistic regression has been used for modeling the probability that a breast cancer could be developed as a function of risk factors.Results: This study showed that risk factors of breast cancer do not differ significantly between northern states (Northern and River Nile) and other Sudan states except the education level, are the patient alive, disease history and lactation.Conclusion: There is no difference between risk factors of breast cancer in all Sudanese states; all Sudanese women are exposed to breast cancer with matching risk factors.Key words: breast, risk factors, logistic regression

Biodegradation and moisture uptake modified starch-filled Linear Low-Density Polyethylene (LLDPE) composites

Sixteen different modified-cassava starch-LLDPE blends containing starch in the range of 10-40% by weight were prepared. Calcium chloride, D-glucose, chloroform and alumina were differently used as modifying agents. The Moisture uptake and biodegradation of each of the composites were investigated. Both of these properties were found to increase with increase in the starch content, with remarkable change observed at 30% starch content. There is however no significant change observed with the change in modifying agent.Key words: Starch-LLDPE blends, Calcium chloride, D-glucose, Chloroform and Alumina

Type 2 segmental darier's disease in a twelve-year old Nigerian male - A case report

No Abstract

Praziquantel coverage in schools and communities targeted for the elimination of urogenital schistosomiasis in Zanzibar: a cross-sectional survey

© 2015 Knopp et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. The attached file is the published version of the article

Ecological risk assessment of heavy metals pollution on irrigated soil along Salanta River Valley, Kano State Nigeria

This paper assessed the heavy metals pollution in irrigated soil of salanta river valley of Sharada industrial area with aim of assessing the potential ecological risk of Cd, Cu, Cr and Zn. Soil samples were collected from five plots randomly selected along the stream and heavy metals (Cd, Cu, Cr and Zn) and pH were analyzed using Atomic Absorption Spectrophotometer and pH meter respectively. The mean values and standard deviation of heavy metals in the study area shows that there is variation in the mean values among the heavy metal in the study area in which Cr recorded mean values of 2.30mg/kg ± 0.45, Cu 1.01 mg/kg ±0.78, Cd 3.02 mg/kg ± 0.66, Zn 26.4 mg/kg± 5.45 and mean pH 6.8 ± 0.51. The Cd, Cu and Zn were found below European regulatory values, the mean value of Cd (3.02mg/kg) is found above EU regulatory values (3.0mg/kg) and the pH value of the study area shows that the soil is slightly acidic and can influence the availability and solubility of the heavy metals in the area. The assessment also show that Cd (Pij,= 1.0), Cu (Pij,= 0.007) and Zn (Pij,= 0.088) are heavily polluted the soil of the area, and also slightly polluted with Cr (Pij,= 0.025). However, the potential ecological risk assessment show that Cr (Eri = 0.005) and Cu (Eri = 0.003) have low potential ecological risk in the area; Zn (Eri = 0.04) has moderate potential ecological risk while Cd (Eri = 0.088) is considerable potential ecological risk in the soil of study area. It was recommended that the industries should treat their waste water before  discharge and farmers should avoid using waste water directly, sewage sludge and effluent for watering and manure respectively.Key words: Heavy metals, pollution, soil, ecological ris

Assessment of Plasma Cystatin C among Sudanese Patients with Type II Diabetes Mellitus

Background: Cystatin C is mainly used as a biomarker of kidney function. It is freely filtered by glomerulus, and does not return to the blood stream or secreted by renal tubules. It has been suggested to be closer to the “ideal” endogenous marker.Objectives: To assess the plasma levels of cystatin c, creatinine clearance, blood HbA1C% and body mass index among Sudanese with type 2  Diabetes.Materials and methods: This is a case-control study conducted in diabetic centers in Khartoum state, Sudan, from March 2010 to November 2013. A total of 300 Sudanese patients with type2 diabetes (49% males and 51% females) as a test group, and 150 healthy subjects (48%males and 52%females) as a control group were enrolled in this study. Both groups were matched for gender and age. The plasma levels of Cystatin C, creatinine and blood HbA1c were measured using Nephelometry technique. Creatinine clearance was calculated for each participant. SPSS was usedfor analysis of data.Results: The means of the plasma levels of Cystatin C, HbA1c% and the body mass index (BMI) were significantly raised in the diabetic group  compared to the control group (p<0.05).There is significant moderate negative correlation between Cystatin C and creatinine clearance (r=0.69,p=0.015) in the diabetic group, and there is a significant strong positive correlation between the plasma levels of Cystatin C and HbA1c%(r=o.78, p=0.044).Conclusion: The present data indicates that among Sudanese patients with Type 2 Diabetes Mellitus, plasma levels of Cystatin C are significantly raised and has a significant strong positive correlation with glycated  haemoglobin % and a significant moderate negative correlation with creatinine clearance.Key words: Type 2 Diabetes, Cystatin C, Glycated Heamoglobin, Sudan

Climate change and anthropogenic intervention impact on the hydrologic anomalies in a semi-arid area : lower Zab river basin, Iraq

Climate change impact, drought phenomena and anthropogenic stress are of increasing apprehension for water resource managers and strategists, particularly in arid regions. The current study proposes a generic methodology to evaluate the potential impact of such changes at a basin scale. The Lower Zab River Basin located in the north of Iraq has been selected for illustration purposes. The method has been developed through evaluating changes during normal hydrological years to separate the effects of climate change and estimate the hydrologic abnormalities utilising Indicators of Hydrologic Alteration. The meteorological parameters were perturbed by applying adequate delta perturbation climatic scenarios. Thereafter, a calibrated rainfall-runoff model was used for streamflow simulations. Findings proved that climate change has a more extensive impact on the hydrological characteristics of the streamflow than anthropogenic intervention (i.e. the construction of a large dam in the catchment). The isolated baseflow is more sensitive to the precipitation variations than to the variations of the potential evapotranspiration. The current hydrological anomalies are expected to continue. This comprehensive basin study demonstrates how climate change impact, anthropogenic intervention as well as hydro-climatic drought and hydrological anomalies can be evaluated with a new methodology

Optimization and activation of renewable durian husk for biosorption of lead (II) from a aqueous medium

Background: Biosorption of lead Pb(II) by durian husk activated carbon (DHAC) was investigated. The main aim of this work is to explore the effect of operating variables such as pH, biosorbent dose, temperature, initial metal ion concentration and contact time on the removal of Pb(II) from synthesized aqueous medium using a response surface methodology (RSM) technique. The experimentation was performed in two sets, namely set 1 and set 2. Results: For experimental set 1, pH was set to 7.0. The optimum conditions for the remaining parameters were determined to be 0.39 g DHAC dose, 60 min contact time and 100 mg L−1 of initial metal ion concentration, which yielded maximum biosorption capacity of 14.6 mg g−1. For experimental set 2, 41.27 °C, 8.95 and 99.96 mg L−1 were the optimum conditions determined for temperature, pH and initial Pb(II) concentration, respectively; which revealed a maximum adsorption capacity of 9.67 mg g−1. Characterization of the adsorbent revealed active functional groups such as hydroxyl, carboxylic, alcohol and hemicellulose. The equilibrium adsorption data obeyed the Langmuir isotherm and pseudo‐second‐order kinetic models with maximum Langmuir uptake of 36.1 mg g−1. Conclusions: The biosorbent was capable of reuse, so that the abundant durian husk could be utilized effectively for the removal of Pb(II) from polluted water

Prevalence of unculturable bacteria in the periapical abscess: A systematic review and meta-analysis

Objective To assess the prevalence of unculturable bacteria in periapical abscess, radicular cyst, and periapical granuloma. Methods PubMed, Scopus, Science Direct, and Ovid databases were systematically searched from January 1990 to May 2020. All the included studies were cross-sectional design. The risk of bias was assessed using Joanna Briggs Institute check-list. Heterogeneity was described using meta-regression and mixed-effects model for lesion, country, and sequence technique moderators. Funnel plot and unweighted Egger's regression test were used to estimate the publication bias. Microbiome data on diversity, abundance, and frequency of unculturable bacteria in the periapical lesions were reviewed, analysed, and the principal component analysis (PCA) was performed. Results A total of 13 studies out of 14,780, were selected for the final analysis. These studies focused on the prevalence of unculturable bacteria in periapical abscesses and related lesions. Approximately 13% (95% CI: 7-23%) of the cumulative number of bacteria derived from periapical abscesses was unculturable. Country moderator significantly (P = 0.05) affects the diversity summary proportion. While the pooled frequency of unculturable bacteria was 8%; 95% CI: 5, 14%, the estimate of the pooled abundance of unculturable bacteria was 5%; 95% CI: 2, 12% with a significant (P = 0.05) country moderator that affects the abundance summary proportion. Of the 62 unculturable bacteria, 35 were subjected to PCA and Peptostreptococcus sp. oral clone CK035 was the most abundant species in periapical abscesses. Hybridization techniques were found to be the most reliable molecular methods in detecting the abundance and frequency of unculturable bacteria. Conclusion The significant prevalence of unculturable bacteria in the periapical abscess, suggests that they are likely to play, a yet unknown, critical role in the pathogenesis and progression of the disease. Further research remains to be done to confirm their specific contributions in the virulence and disease progression

A Stochastic Approach to Shortcut Bridging in Programmable Matter

In a self-organizing particle system, an abstraction of programmable matter, simple computational elements called particles with limited memory and communication self-organize to solve system-wide problems of movement, coordination, and configuration. In this paper, we consider a stochastic, distributed, local, asynchronous algorithm for "shortcut bridging", in which particles self-assemble bridges over gaps that simultaneously balance minimizing the length and cost of the bridge. Army ants of the genus Eciton have been observed exhibiting a similar behavior in their foraging trails, dynamically adjusting their bridges to satisfy an efficiency trade-off using local interactions. Using techniques from Markov chain analysis, we rigorously analyze our algorithm, show it achieves a near-optimal balance between the competing factors of path length and bridge cost, and prove that it exhibits a dependence on the angle of the gap being "shortcut" similar to that of the ant bridges. We also present simulation results that qualitatively compare our algorithm with the army ant bridging behavior. Our work gives a plausible explanation of how convergence to globally optimal configurations can be achieved via local interactions by simple organisms (e.g., ants) with some limited computational power and access to random bits. The proposed algorithm also demonstrates the robustness of the stochastic approach to algorithms for programmable matter, as it is a surprisingly simple extension of our previous stochastic algorithm for compression.Comment: Published in Proc. of DNA23: DNA Computing and Molecular Programming - 23rd International Conference, 2017. An updated journal version will appear in the DNA23 Special Issue of Natural Computin