Epidemiology of bronchial asthma among preparatory school children in Assiut district

Background: The prevalence of asthma and allergies is increasing in both Western and developing countries. Few studies evaluated asthma prevalence in Egypt . Objectives: Determination of the prevalence and risk factors of asthma among preparatory school children in Assiut district, in Upper Egypt. Methods: A cross sectional study was conducted among preparatory school students in Assiut city and two rural areas in Assiut district in Upper Egypt. Twelve schools were selected randomly from different regions in Assiut city and two rural areas one to the North and the other to the South of Assiut city. The total coverage of the students included was 1048 (482 boys and 566 girls). Data were collected by self-administered questionnaire (in Arabic Language) which was filled by the participants. Results: Of the 1048 positively responding subjects, 65 fitted the diagnosis of asthma with over all prevalence of 6.2%. No significant difference was found between urban and rural areas (P = 0.075). Using logistic regression analysis: a positive family history of allergy and the presence of other one or more allergic diseases were significantly associated risk factors for asthma. Exposure to dust, cigarette smoke, playing and physical activity, common cold attacks, and special food or drinks were the most common triggering factors for asthma exacerbations . Conclusion: Bronchial asthma is a significant health problem among children and adolescents in Assiut district and needs special medical care. Wider scale multi-center studies in upper Egypt and other localities of Egypt are needed to outline the profile of bronchial asthma among children and adolescents in the whole country. Keywords: prevalence of asthma, preparatory school children, Assiut districtEgypt J Pediatr Allergy Immunol 2012;10(2):109-11

The khmer software package: enabling efficient nucleotide sequence analysis

The khmer package is a freely available software library for working efficiently with fixed length DNA words, or k-mers. khmer provides implementations of a probabilistic k-mer counting data structure, a compressible De Bruijn graph representation, De Bruijn graph partitioning, and digital normalization. khmer is implemented in C++ and Python, and is freely available under the BSD license at https://github.com/dib-lab/khmer/

Effect of Different Primers on the Shear Bond Strength of Orthodontic Brackets Bonded to Reinforced Polyetheretherketone (PEEK) Substrate

This in vitro study assessed the effect of different primers on the shear bond strength (SBS) and adhesive remnant index (ARI) of orthodontic brackets bonded to reinforced polyetheretherketone (PEEK) substrate. A total of 40 specimens were randomly distributed to two groups based on the primer used for orthodontic bonding: group 1 (control)—Transbond XT adhesive with Visio.link primer and group 2 (test)—orthodontic adhesive (Transbond XT) with traditional orthodontic primer. After bonding, specimens were thermocycled followed by SBS testing and ARI scoring of debonded specimens. Data were analyzed using the unpaired independent t-test and the Chi-square test. Group 1 specimens showed significantly higher SBS values (21.38 ± 1.48 MPa) compared to group 2 specimens (18.63 ± 1.29 MPa) (p < 0.0001). Adhesive remnant index scores showed no significant variations in bond failure modes and distributions between groups. The SBS obtained by the tested primers exceeded the clinically recommended value. Consequently, there is a comparable clinical application for both tested primers in orthodontic bonding, especially the traditional orthodontic primer, where the availability of Visio.link in clinical practice is not ensured

The khmer software package: enabling efficient nucleotide sequence analysis

The khmer package is a freely available software library for working efficiently with fixed length DNA words, or k-mers. khmer provides implementations of a probabilistic k-mer counting data structure, a compressible De Bruijn graph representation, De Bruijn graph partitioning, and digital normalization. khmer is implemented in C++ and Python, and is freely available under the BSD license at https://github.com/dib-lab/khmer/.This article is from F1000Research 2015, 4:900 (doi:10.12688/f1000research.6924.1). Posted with permission.</p