Overcoming database heterogeneity to facilitate social networks: the Colombian displaced population as a case study

In this paper we describe a two-step approach for the publication of data about displaced people in Colombia, whose lack of homogeneity represents a major barrier for the application of adequate policies. This data is available in heterogeneous data sources, mainly relational, and is not connected to social networking sites. Our approach consists in a first step where ontologies are automatically derived from existing relational databases, exploiting the semantics underlying the SQL-DDL schema description, and a second step where these ontologies are aligned with existing ontologies (FOAF in our example), facilitating a better integration of data coming from multiple sources

Analytical investigation of chromium and zinc in sweet, sour and bitter tasting fruits, vegetables and medicinal plants

Sweet, sour and bitter tasting fruits, vegetables and medicinal plants are an important component of human diet. The role of chromium and zinc in carbohydrate metabolism for control of diabetes is highlighted in selected commodities. Average levels of chromium and zinc in sweet taste were 0.69 ± 0.48 mg kg-1 and 4.81 ± 4.31 mg kg-1 respectively with correlation of 0.545, while in sour taste the values were 22.5 ± 22.0 mg kg-1 and 24.5 ± 11.8 mg kg-1 respectively with the correlation of 0.239 and in bitter taste, 0.61 ± 0.33 mg kg-1 and 4.70 ± 3.54 mg kg-1 respectively with correlation of 0.343. Overall, sour tasting commodities were found higher in levels of chromium and zinc and are recommended as food supplement for diabeties. None of these species contain metals above the toxic level

Hepatitis B and C: prevalence and risk factors associated with seropositivity among children in Karachi, Pakistan

Background Infections with hepatitis B virus (HBV) and hepatitis C virus (HCV) can lead to chronic liver disease and hepato-cellular carcinoma (HCC). This cross-sectional study estimated the prevalence and identified risk factors associated with Hepatitis B surface antigen (HBsAg) and HCV antibody (anti-HCV) sero-positivity among children 1 to 15 years of age. Methods The study targeted the low to middle socioeconomic population that comprises 80% to 85% of the population. Consent was obtained from parents of the eligible children before administering questionnaire and collected a blood sample for anti-HCV and HBsAg serology. Results 3533 children were screened for HBsAg and anti-HCV. 1826 (52 %) were males. 65 (1.8 %) were positive for HBsAg, male to female ratio 38:27; mean age 10 ± 4 years. 55 (1.6 %) were positive for anti-HCV with a mean age 9 ± 4 years. 3 (0.11%) boys were positive for both HBsAg and anti-HCV. The overall infection rate was 3.3 % in the studied population. Hepatitis BsAg was more prevalent in subjects who received therapeutic injections 45 (69.2%) positive [Odd Ratio OR = 2.2; 95% Confidence interval CI: 1.3–3.6] inspite of using new needle and syringe 44 (67.7%) positive [OR = 2.2; 95% CI: 1.3–3.7] and vaccination in the government healthcare facilities 46 (70.7 %) positive with [OR = 3.0; 95% CI: 1.4–6.4]. These factors were not significant in anti-HCV positive cases. Conclusion There is a need to educate general population regarding HBV and HCV infection and risks associated with inappropriate therapeutic injections. Hepatitis B vaccine should be administered to all newborns regardless of maternal HBsAg status

Ontology as a means for systematic biology

textBiologists use ontologies as a method to organize and publish their acquired knowledge. Computer scientists have shown the value of ontologies as a means for knowledge discovery. This dissertation makes a number of contributions to enable systematic biologists to better leverage their ontologies in their research. Systematic biology, or phylogenetics, is the study of evolution. “Assembling a Tree of Life” (AToL) is an NSF grand challenge to describe all life on Earth and estimate its evolutionary history. AToL projects commonly include a study a taxon (organism) to create an ontology to capture its anatomy. Such anatomy ontologies are manually curated based on the data from morphology-based phylogenetic studies. Annotated digital imagery, morphological characters and phylogenetic (evolutionary) trees are the key components of morphological studies. Given the scale of AToL, building an anatomy ontology for each taxon manually is infeasible. The primary contribution of this dissertation is automatic inference and concomitant formalization required to compute anatomy ontologies. New anatomy ontologies are formed by applying transformations on an existing anatomy ontology for a model organism. The conditions for the transformations are derived from observational data recorded as morphological characters. We automatically created the Cypriniformes Gill and Hyoid Arches Ontology using the morphological character data provided by the Cypriniformes Tree of Life (CTOL) project. The method is based on representing all components of a phylogenetic study as an ontology using a domain meta-model. For this purpose we developed Morphster, a domain-specific knowledge acquisition tool for biologists. Digital images often serve as proxies for natural specimens and are the basis of many observations. A key problem for Morphster is the treatment of images in conjunction with ontologies. We contributed a formal system for integrating images with ontologies where images either capture observations of nature or scientific hypotheses. Our framework for image-ontology integration provides opportunities for building workflows that allow biologists to synthesize and align ontologies. Biologists building ontologies often had to choose between two ontology systems: Open Biomedical Ontologies (OBO) or the Semantic Web. It was critical to bridge the gap between the two systems to leverage biological ontologies for inference. We created a methodology and a lossless round-trip mapping for OBO ontologies to the Semantic Web. Using the Semantic Web as a guide to organize OBO, we developed a mapping system which is now a community standard.Computer Science

A method optimization study for atomic absorption spectrophotometric determination of total zinc in insulin using direct aspiration technique

A sensitive, reliable and relative fast method has been developed for the determination of total zinc in insulin by atomic absorption spectrophotometer. This designed study was used to optimize the procedures for the existing methods. Spectrograms of both standard and sample solutions of zinc were recorded by measuring the absorbance at 213.9 nm for determination of total zinc. System suitability parameters were evaluated and were found to be within the limits. Linearity was evaluated through graphical representation of concentration versus absorbance. Repeatability (intra-day) and intermediate precision (inter-day) were assessed by analyzing working standard solutions. Accuracy and robustness were experimented from the standard procedures. The percentage recovery of zinc was found to be 99.8%, relative standard deviation RSD 1.13%, linearity of determination LOD 0.0032 μg/mL, and limit of quantization LOQ 0.0120 μg/mL. This developed and proposed method was then validated in terms of accuracy, precision, linearity and robustness which can be successfully used for the quantization of zinc in insulin