In recent years, online tools have increasingly contributed to both course delivery and assessment across various domains with mixed quantitative results. We examine the introduction of a regular online assessment tool ('e-quiz') delivered by the WebCT Vista content management system to a large first-year quantitative methods course at UNSW, Sydney (Australia). Unique aspects of this study include the quantitative (mathematical) nature of the online learning, the larger than usual sample size (n > 1500 in toto), the inclusion of several difficult-to-obtain explanatory variables, and the high diversity in sub-population attributes. We principally measure the effectiveness of the e-quiz tool from the perspective of student performance in an end of semester closed-book examination. We also consider student opinions and attitudes to the introduction of the online tool. Data taken on attendance at voluntary peerassisted learning classes, used as a proxy for student effort, along with pre-enrolment mathematical aptitude data are used to identify the specific contribution of the e-quiz tool to student learning. We find support for the hypothesis that regular usage of online learning tools (not grade) significantly and positively contributes to student performance. Furthermore, we find that the hypothesis that this improvement is due mainly to improving student feedback is supported by an analysis of student surveys. Finally, in an extension, we consider the use of such low-cost, online quizzes as a possible identifier for 'at-risk' students.
Arm first microgel polymers were successfully synthesised utilising Reversible Addition Fragmentation Chain Transfer (RAFT) polymerisation techniques. A functional prearm linear AB block copolymer intermediate, (polystyrene)-block-(polydivinylbenzene), was prepared via RAFT by simple one pot chain extension and arm coupling of a preprepared polystyrene macromer. The arms are coupled together via the residual unsaturation present in the polydivinylbenzene block by free radical means to form core-crosslinked microgels. It was found that the arm coupling process could be described by invoking a two-stage coupling system. The initial induction period consists of the formation of largely two-arm (on average) species. This is followed by a latter growth period, where true core-crosslinked microgels are formed consisting of polyarm clusters having 16 arms (on average) per cluster. These microgel materials were cast under specific conditions to form porous polymer films of varying quality. Image analysis of these films demonstrated the importance of the linear component : microgel component ratio in determining both a uniform pore size and the formation of a hexagonal close packed array of pores.
We report numerical results from a 2D cellular automaton (CA) model describing the dynamics of the in vitro cultivated multicellular spheroid obtained from EMT6/Ro (mammary carcinoma) cell line. Significantly, the CA model relaxes the often assumed one-to-one correspondence between cells and CA sites so as to correctly model the peripheral mitotic boundary region, and to enable the study of necrosis in large avascular tumours. By full calibration and scaling to available experimental data, the model produces with good accuracy experimentally comparable data on a range of bulk tumour kinetics and necrosis measures. Our main finding is that the metabolic production of H(+) ions is not sufficient to cause central necrosis prior to the sub-viable nutrient-deficient stage of tumour development being reached. Thus, the model suggests that an additional process is required to explain the experimentally observable onset of necrosis prior to the non-viable nutrient-deficient point being reached.
We apply statistical analysis of high frequency (1 km) split data for the most recent two world-record marathon runs: Run 1 (2:03:59, 28 September 2008) and Run 2 (2:03:38, 25 September 2011). Based on studies in the endurance cycling literature, we develop two principles to approximate 'optimal' pacing in the field marathon. By utilising GPS and weather data, we test, and then de-trend, for each athlete's field response to gradient and headwind on course, recovering standardised proxies for power-based pacing traces. The resultant traces were analysed to ascertain if either runner followed optimal pacing principles; and characterise any deviations from optimality. Whereas gradient was insignificant, headwind was a significant factor in running speed variability for both runners, with Runner 2 targeting the (optimal) parallel variation principle, whilst Runner 1 did not. After adjusting for these responses, neither runner followed the (optimal) 'even' power pacing principle, with Runner 2's macro-pacing strategy fitting a sinusoidal oscillator with exponentially expanding envelope whilst Runner 1 followed a U-shaped, quadratic form. The study suggests that: (a) better pacing strategy could provide elite marathon runners with an economical pathway to significant performance improvements at world-record level; and (b) the data and analysis herein is consistent with a complex-adaptive model of power regulation.
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