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Lacombe, Canada

Canadian University College is an independent publicly funded university located in Lacombe. It is sponsored by the Seventh-day Adventist Church in Canada and is affiliated with the Association of Theological Schools. The school's official mission statement is to educate learners to think with discernment, to believe with insight and commitment and to act with confidence, compassion, and competence. The college places emphasis on service in local and global communities. Wikipedia.

Drug resistance is a key cause of failed treatment of HIV infection. The efficacy of nonnucleoside reverse transcriptase-inhibiting (NNRTI) drugs is impaired by the rapid emergence of drug-resistant mutations. The literature supports the idea that purposefully designed flexible NNRTIs at an active site may help overcome drug resistance. It is proposed here that the usual "lock and key" model, with respect to NNRTI drug design, be expanded to consider creating "master keys" that would automatically adjust conformations to fit all of the "locks" mutations may make. The present work introduces the novel perspective of designing and creating supramolecular assemblies as potential NNRTIs (instead of the relatively more rigid single-molecule inhibitors). Specifically, flexible self-assembling quinhydrone supramolecular dimers formed from quinonoid monomers (designed to be highly flexible NNRTIs themselves) will be offered as a working example of this new perspective in NNRTI drug design. Quinonoid compounds have demonstrated binding interactions at various sites of the HIV-1 RT enzyme, including the elusive ribonuclease H area. Quinhydrone self-organized dimers have at some point in their molecular architecture a noncovalently interacting donor-acceptor ring pair complex. This complex is at the heart of the increased torsional, rotational, and translational motion this species will experience at a particular active site. Flexible supramolecular assemblies, together with their flexible monomer components, may offer a critical advantage in retaining potency against a wide range of drug-resistant HIV-1 RTs. This new supramolecular perspective may also have broader implications in the general field of antimicrobial drug design. © Copyright 2013, Mary Ann Liebert, Inc. 2013. Source

Diab M.O.,Canadian University College | Moslem B.,Lebanese University | Moslem B.,Compiegne University of Technology | Khalil M.,Lebanese University | Marque C.,Compiegne University of Technology
Proceedings of the Mediterranean Electrotechnical Conference - MELECON | Year: 2012

The aim of this work is to detect labor by classifying uterine electromyogram (EMG) signals into 2 classes: pregnancy and labor. Based on the fact that the energy distribution of the uterine EMG signals varies throughout pregnancy, the recorded signals are first decomposed into a 3-level wavelet packet tree then the Normalized Wavelet Packets Energies (NWPEs) are calculated and used to classify the signals. The high percentage of correctly classified events indicates that the use of NWPE can be a suitable choice for solving classification problems of electrophysiological signals and proves the efficiency of this approach in detecting labor. © 2012 IEEE. Source

Moslem B.,CNRS Biomechanical Engineering Laboratory | Moslem B.,Lebanese University | Diab M.O.,Canadian University College | Khalil M.,Lebanese University | Marque C.,CNRS Biomechanical Engineering Laboratory
2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings | Year: 2011

Multichannel analysis is an innovative technique used for the analysis of bioelectrical signals. In this paper, we analyzed uterine Electromyogram (EMG) signals recorded by means of a 4x4 electrode matrix positioned on the woman's abdomen by using a multichannel approach. Relevant features were extracted from each channel and fed to a competitive neural network (CNN). First, we evaluated the classification performance of each channel. Then, we compared these performances to see which channel ranks better than the others. Finally, a decision fusion method based on the weighted sum of the individual decision of each channel was tested. The results showed that data can be grouped into 2 different groups. Furthermore, they showed that the classification performance varies according to the position of the electrode. Therefore, when a decision fusion rule was applied, the network yielded better classification accuracy than any individual channel could provide. These encouraging results prove that multichannel analysis can improve the classification of uterine EMG signals. © 2011 IEEE. Source

Halablab M.A.,Canadian University College | Hijazi S.M.,Beirut Arab University | Fawzi M.A.,Beirut Arab University | Araj G.F.,American University of Beirut
Epidemiology and Infection | Year: 2010

The increasing prevalence of Staphylococcus aureus and methicillin- resistant S. aureus (MRSA) strains together with their disease impact on hospital patients and individuals in the community has posed a major challenge to healthcare workers. This study examined the prevalence of S. aureus nasal carriage, antimicrobial susceptibility patterns, and possible risk factors in the community. Of 500 studied subjects (aged from 6 to 65 years) in Lebanon, the overall S. aureus nasal carriage rate was 384%, the highest (571%) being in children aged 6-10 years. Only eight individuals (16%) were carriers of MRSA. Risk factors for S. aureus nasal colonization were male gender, young age, contact with healthcare workers, use of needle injections, and having asthma. A significant decrease in colonization rate was associated with nasal wash with water, use of nasal sprays, and the presence of acne. These findings may assist in better understanding of control measures to decrease nasal colonization with S. aureus in Lebanon and elsewhere. © Cambridge University Press 2009. Source

Halablab M.A.,Canadian University College | Sheet I.H.,Beirut Arab University | Holail H.M.,Beirut Arab University
American Journal of Food Technology | Year: 2011

The purpose of this study was to assess the microbiological quality of fresh vegetables collected from several regions in Bekaa Valley areas. A total of 63 vegetable samples irrigated from Litani River in Bekaa Valley in Lebanon namely lettuce, parsley and Malua samples and other control vegetables samples irrigated from ground water wells were examined to assess microbial contamination level. The microbiological quality of fresh vegetables ranged from 4.3 to 10.4 log 10 CFU g -1 (aerobic bacteria); 2.0 to 0.71 log 10 CFU g -1 (cohforns); 1.0 to 8.77 log 10 CFU g -1 (E. coli) and 1.47 to 8.77 log 10 CFU g -1 (S. aureus). Lettuce samples had significantly higher microbial loads including coliforms, E. coli and S. aureus than parsley samples collected from different locations in Bekaa Valley. Neither E. coli nor S. aureus had been detected on Malva samples. In addition, Barelias had higher microbial loads, coliform, E. coli and S. aureus than any other location investigated in Bekaa Valley. Moreover, E. coli was significantly higher in lettuce samples (42.30%) than in parsley samples (13.8%) and S. aureus was significantly more often detected in lettuce samples (51.5%) than in parsley samples (38%). This study demonstrated that lettuce and parsley which are usually consumed raw may contain pathogenic microorganisms and represent a risk for human health. © 2011 Academic Journals Inc. Source

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