Research Productivity and Positive Teaching Evaluations: Examining the Relationship Using Meta-Analysis

This article reports on the importance of research as a standard for tenure and merit for college professors. The reasons for increasing the emphasis on research are probably several and varied depending on the various internal pressures of the institution. Another issue involves the separation that a research emphasis creates between the student and the instructor. The alternative line of argument suggests a connection between research productivity and teaching quality. Research shows not only knowledge but shows a dedication to the content and material not possible for a person that only teaches

The Development of an Advanced Low Profile Retractor for Neurosurgery

This thesis presents the design and development of a skull mounted retractor system for neurosurgical applications. It was hypothesized that a low profile retractor platform could be developed with a multi-point skull mount and a surrounding attached perimeter to better meet the needs of surgeons when invasive retraction is required. Attachment points adjoined around the edge of the craniotomy did not require additional drilling and were intended to provide a more stable, low profile, non-cluttered platform from which spatulas or flexible arms could easily leverage lobe retraction. This improved system is expected to improve operating times and reduce incidence rates of post-operative complications from overzealous or negligent retraction. It was concluded that the skull mounted retractor system provided no significant displacement while forces that simulated accidental movement during surgery were applied. A statistically significant difference was confirmed for the stability of the retractor depending on mounting orientation but from a practical standpoint was not enough to cause damage to the brain. The retractor system can accommodate the majority of skull variations and operations as adjustable features allow attachment to craniotomy diameters of over 100 mm and cranial thicknesses of up to 9 mm. This retractor method still requires additional development to improve setup times for frontotemporal craniotomies but depending on the location of the lesion it could be a suitable improvement for the retraction used during treatment of a wide variety of pathologies

National characteristics and variation in Arabic handwriting

From each of four Arabic countries; Morocco, Tunisia, Jordan and Oman, 150 participants produced handwriting samples which were examined to assess whether national characteristics were discernible. Ten characters, which have different configurations depending upon their position in the word, along with one short word, were classified into distinguishable forms, and these forms recorded for each handwriting sample. Tests of independence showed that character forms used were not independent of country (p < 0.001) for all but one character-position (this was dropped from subsequent analyses). A correspondence analysis ordination plot and analysis of similarity (R = 0.326, p = 0.0002) showed that whole samples were discernibly grouped by country, and a tree analysis produced a classification which was 71% accurate for the original data and 83% accurate for 80 new handwriting samples that underwent ‘blind’ classification. When the countries were combined into two regions, North Africa and Middle East, the grouping was more marked. Thus, there appears to be some scope for narrowing down the nationality, and particularly the wider geographical region of an author based upon the character forms they use in Arabic handwriting

A highly scalable Met Office NERC Cloud model

Large Eddy Simulation is a critical modelling tool for scien- tists investigating atmospheric flows, turbulence and cloud microphysics. Within the UK, the principal LES model used by the atmospheric research community is the Met Office Large Eddy Model (LEM). The LEM was originally devel- oped in the late 1980s using computational techniques and assumptions of the time, which means that the it does not scale beyond 512 cores. In this paper we present the Met Office NERC Cloud model, MONC, which is a re-write of the existing LEM. We discuss the software engineering and architectural decisions made in order to develop a flexible, extensible model which the community can easily customise for their own needs. The scalability of MONC is evaluated, along with numerous additional customisations made to fur- ther improve performance at large core counts. The result of this work is a model which delivers to the community signifi- cant new scientific modelling capability that takes advantage of the current and future generation HPC machine

The trials and tribulations of designing and utilising MCQs in HE and for assessing forensic practitioner competency

Multiple Choice Questions (MCQs) are a very well known, traditional and accepted method of assessment. The use of MCQs for testing students has produced numerous debates amongst academics concerning their effectiveness as they are viewed as practical and efficient but also perceived as possibly „too easy‟ and potentially unable to appropriately test the higher order cognitive skills that essay questions can assess.The use of MCQs in a forensic science context is currently being investigated, not only for use within forensic science education, but also for the testing of competency of qualified forensic practitioners. This paper describes a Higher Education Academy funded project that is investigating the design and the implementation of MCQs for testing forensic practitioners and the lessons that have been learnt so far, that will assist academics in the development of robust MCQ assessments within forensic science degrees to promote and assess deep learning