2 research outputs found
Factors considered by undergraduate medical students when selecting specialty of their future careers
Introduction: medical students are the source of a country's physicians. Determining how medical students select their areas of specialization isthe key to achieve a balanced distribution of doctors among all specialties. The objective is to identify the number of medical students who havedecided their postgraduate specialty career, their career specialties preference, and factors that may influence their decision to select a particular specialty.Methods: a facility based cross-sectional study was conducted in September 2013 at Faculty of Medicine, University of Medical Sciences and Technology, Khartoum, Sudan. A self-administered semi-structured questionnaire comprising demographic data and questions about future specialties preferences and factors influencing those preferences was distributed to 887 male and female students, (from first to fifth academicyears) recruited in the study.Results: response rate was 73% with 647 questionnaires collected, out of 887 eligible medical students. Of the returned questionnaires, 604 were valid. The majority of students (541, 89.6%) have chosen a specialty. Surgery, medicine, paediatrics and obstetrics and gynecology were the most selected specialties. The least selected specialty was anaesthesiology. A significant association was found between gender and specialty choice using Chi-square test (p=0.00). There was no association between undergraduate level and specialty choice (p=0.633). The most common reason for choosing a specific specialty was "Personal Interest" (215, 39.7 %) followed by being "Helpful to the community" (144, 26.6%). Conclusion: surgery, medicine, paediatrics and obstetrics and gynecology were the most selected specialties
Characterizing chemical signaling between engineered “microbial sentinels” in porous microplates
Living materials combine a material scaffold, that is often porous, with engineered cells that perform sensing, computing, and biosynthetic tasks. Designing such systems is difficult because little is known regarding signaling transport parameters in the material. Here, the development of a porous microplate is presented. Hydrogel barriers between wells have a porosity of 60% and a tortuosity factor of 1.6, allowing molecular diffusion between wells. The permeability of dyes, antibiotics, inducers, and quorum signals between wells were characterized. A "sentinel" strain was constructed by introducing orthogonal sensors into the genome of Escherichia coli MG1655 for IPTG, anhydrotetracycline, L-arabinose, and four quorum signals. The strain's response to inducer diffusion through the wells was quantified up to 14 mm, and quorum and antibacterial signaling were measured over 16 h. Signaling distance is dictated by hydrogel adsorption, quantified using a linear finite element model that yields adsorption coefficients from 0 to 0.1 mol m-3 . Parameters derived herein will aid the design of living materials for pathogen remediation, computation, and self-organizing biofilms