Pharmacists’ utilization and interest in usage of personal digital assistants in their professional responsibilities

Background and objectives: Pharmacists use PDAs for performing various activities related to their profession. The objective of this study was to examine pharmacists’ utilization pattern and interest in usage of personal digital assistants (PDAs) in various facets of health care. Methods: A cross‐sectional survey was conducted by distributing a pre‐validated 23‐item instrument to a convenience sample of pharmacists (n = 295) in the Houston area. Usage frequency (0 = never to 5 = frequently) and interest in future use (1 = extremely disinterested to 5 = extremely interested) of PDAs for various activities were evaluated and compared across pharmacy practice settings. Results: Most pharmacists reported maximum use of PDAs, as personal organizers (3.7 ± 1.8), in obtaining drug information (2.9 ± 1.8) and as medical calculators (2.6 ± 1.9). Similar results were obtained while evaluating interest of pharmacists who did not have PDAs and have never used PDAs for these three activities. Hospital pharmacists owned and used PDAs significantly (P < 0.05) more often than community pharmacists. Conclusions: Pharmacists used PDAs for basic functions in their profession role. Application of PDA technology in community pharmacy settings may result in its better adoption in both the settings.     

Keeping our teachers! Investigating mentoring practices to support and retain novice educators

For this study the researchers used data from the 2006 North Carolina Teacher Working Conditions survey to investigate the possible relationship between mentoring and intentionality with respect to beginning teachers’ intentions to remain in the profession. The sample consists of 8838 teachers who were mentored during their first two years of teaching. To determine whether the quality of mentoring is related to teachers’ intentions to stay or leave the profession, mentor matching, degree of support, and frequency of interactions were variables examined. Beginning teachers who were matched by grade level, who received assistance with the supports investigated, and who met with mentors at least once monthly for the specified activities were more likely to commit to remaining in the profession than their peers who had received less support.     

Differential pH sensitivity of tissue superoxide dismutases

Superoxide dismutase (SOD) activities in the human and rat RBCs and rat liver, kidney, brain and heart mitochondria as well as cytosolic fractions were determined by the pyrogallol assay procedure with slight modifications. Measurements were carried out in 0.1 M potassium phosphate buffer pH 8.0 and 9.2 to assess the pH stability of the SODs from various systems. Under these conditions the SODs from different systems including RBCs exhibited differential pH stability i.e. they displayed differential susceptibility at pH 9.2. Even in a given tissue, the mitochondrial and cytosolic SODs contents show a tissue-specific pattern. Our results also suggest that measurements carried out at pH 8.0 may give more realistic estimates of SOD activities.     

Learner modelling: systematic review of the literature from the last 5 years

The field of adaptive e-learning is continuously developing. More research is being conducted in this area as adaptive e-learning aims to provide learners with adaptive learning paths and content, according to their individual characteristics and needs, which makes e-learning more efficient and effective. The learner model, which is a representation of different learner’s characteristics, plays a key role in this adaptation. This paper presents a systematic literature review about learner modelling during the last 5 years, describing the different modelled characteristics and the adopted modelling techniques and modeling types: automatic modeling and collaborative modeling. 107 publications were selected and analyzed, and six categories of the modelled characteristics were identified. This literature review contributes to the identification of the learners’ individual traits and presents the most used modelling techniques for each of them. It also identifies the latest research trends of Learner Modeling and generates future research directions in this field.

     

DNA chip

This article presents a brief overview of DNA chips, or microarrays. Microarrays are a very significant technological development in molecular biology, and are perhaps the most efficient tool available for functional genomics today.     

Copts in Egyptian history textbooks: towards an integrated framework for analyzing minority representations

The Egyptian Christian (Coptic) minority’s marginalization in politics and the Egyptian public sphere has been well investigated by several scholars. However, while many scholars and activists continue to call for the inclusion of the Coptic era in Egyptian history curricula, only very few studies have actually analyzed how that historical era—and Copts in general—are presented in these curricula. Thus, I conduct a textual analysis of Egyptian history textbooks from 1890 until 2017. I find that, with few exceptions—contrary to widely circulated speculations—Coptic history has consistently been included, but allocated a disproportionately smaller space vis-à-vis other eras. The analysis also illustrates how Copts are constructed as a largely persecuted and victimized people, with few contributions—implying a narrative arc of decline. Thus, to render Egyptian history curricula more culturally relevant and inclusive, curricular reform efforts need to be reframed to more strategically focus on questions such as how the Copts, and the significance and continuity of their contributions throughout Egyptian history, are portrayed. This study also seeks to offer an integrated framework for analyzing the representation of minorities in textbooks globally.     

Event based estimation with correlated noises

For a linear system having event based measurements and correlated noises, a state estimation algorithm is proposed. A general event based sampling is employed to obtain the measurements, where in the case of unavailability of measurements, event based strategy itself is used to obtain approximate state and covariance estimates. To deal with correlated noises, a two-step ahead prediction approach is employed to obtain recursive equations for estimated state and covariance. The obtained results are illustrated using a simulation example.