Introduction of CAA into a mathematics course for technology students to address a change in curriculum requirements

The mathematical requirements for engineering, science and technology students has been debated for many years and concern has been expressed about the mathematical preparedness of students entering higher education. This paper considers a mathematics course that has been specifically designed to address some of these issues for technology education students. It briefly chronicles the changes that have taken place over its lifetime and evaluates the introduction of Computer Assisted Assessment (CAA) into a course already being delivered using Computer Aided Learning (CAL). Benefits of CAA can be categorised into four main areas. 1. Educational – achieved by setting short, topic related, assessments, each of which has to be passed, thereby increasing curriculum coverage. 2. Students – by allowing them to complete assessments at their own pace removing the stress of the final examination. 3. Financial – increased income to the institution, by broadening access to the course. Improved retention rate due to self-paced learning. 4. Time – staff no longer required to set and mark exams. Most students preferred this method of assessment to traditional exams, because it increased confidence and reduced stress levels. Self-paced working, however, resulted in a minority of students not completing the tests by the deadline

Application of Dynamic System Identification to Timber Bridges

A method of global nondestructive evaluation for identifying local damage and decay in timber beams was developed in previous analytical studies and verified experimentally using simply supported beams in the laboratory. The method employs experimental modal analysis and an algorithm that monitors changes in modal strain energy between the mode shapes of a damaged structure with respect to the undamaged structure. A simple three-girder bridge was built and tested in a laboratory to investigate the capability and limitations of the method for detecting damage in a multimember timber structure. The laboratory tests showed that the method can correctly detect and locate a simulated pocket of decay inflicted at the end of a girder as well as detect a notch removed from the midspan of a girder. The tests showed that the method can correctly detect damage simultaneously at two locations within the bridge, but also that large magnitudes of damage at one location can mask smaller magnitudes of damage at another location. When a calibrated baseline model is used to represent the undamaged state of the bridge, the results show that the method of nondestructive evaluation is able to detect each case of inflicted damage, but with some increase in localization error

Reducing Equifinality Using Isotopes in a Process-Based Stream Nitrogen Model Highlights the Flux of Algal Nitrogen from Agricultural Streams

The fate of bioavailable nitrogen species transported through agricultural landscapes remains highly uncertain given complexities of measuring fluxes impacting the fluvial N cycle. We present and test a new numerical model named Technology for Removable Annual Nitrogen in Streams For Ecosystem Restoration (TRANSFER), which aims to reduce model uncertainty due to erroneous parameterization, i.e., equifinality, in stream nitrogen cycle assessment and quantify the significance of transient and permanent removal pathways. TRANSFER couples nitrogen elemental and stable isotope mass‐balance equations with existing hydrologic, hydraulic, sediment transport, algal biomass, and sediment organic matter mass‐balance subroutines and a robust GLUE‐like uncertainty analysis. We test the model in an agriculturally impacted, third‐order stream reach located in the Bluegrass Region of Central Kentucky. Results of the multiobjective model evaluation for the model application highlight the ability of sediment nitrogen fingerprints including elemental concentrations and stable N isotope signatures to reduce equifinality of the stream N model. Advancements in the numerical simulations allow for illumination of the significance of algal sloughing fluxes for the first time in relation to denitrification. Broadly, model estimates suggest that denitrification is slightly greater than algal N sloughing (10.7% and 6.3% of dissolved N load on average), highlighting the potential for overestimation of denitrification by 37%. We highlight the significance of the transient N pool given the potential for the N store to be regenerated to the water column in downstream reaches, leading to harmful and nuisance algal bloom development

Fetal Programming of Renal Development-Influence of Maternal Smoking

Smoking is a known risk factor for non-communicable illness including pulmonary disease, cardiovascular disease, and Type 2 diabetes. Smoking also contributes significantly to the rising `epidemic of chronic kidney disease. It is increasingly recognised that maternal programming of fetal development during pregnancy predisposes offspring to future disease. Maternal smoking, particularly in the first trimester, imposes a significant adverse impact on fetal renal development that determines the future risk of chronic kidney disease. Several mechanisms may contribute. Firstly, epigenetic modification of fetal nuclear or mitochondrial DNA, induced by intrauterine exposure to chemicals within the cigarette smoke, may result in an increased risk for metabolic and renal disorders. Secondly, nicotine and other chemicals within the cigarette smoke can cross the blood placental barrier concentrate in the fetus and result in direct toxicity. Thirdly, malnutrition due to the anorexigenic effect of smoking results in nutritional deficits in the fetus and impairs organ growth and development. 10-45% of pregnant women from diverse populations smoke during pregnancy. Hence it is considered a major and significant public health issue that imposes adverse health consequences not only to the pregnant women, but also inherited by their offspring, and potentially affecting future generations