Recommendations for improved data processing from expired gas analysis indirect calorimetry

There is currently no universally recommended and accepted method of data processing within the science of indirect calorimetry for either mixing chamber or breath-by-breath systems of expired gas analysis. Exercise physiologists were first surveyed to determine methods used to process oxygen consumption ([OV0312]O 2) data, and current attitudes to data processing within the science of indirect calorimetry. Breath-by-breath datasets obtained from indirect calorimetry during incremental exercise were then used to demonstrate the consequences of commonly used time, breath and digital filter post-acquisition data processing strategies. Assessment of the variability in breath-by-breath data was determined using multiple regression based on the independent variables ventilation (VE), and the expired gas fractions for oxygen and carbon dioxide, FEO 2 and FECO2, respectively. Based on the results of explanation of variance of the breath-by-breath [OV0312]O2 data, methods of processing to remove variability were proposed for time-averaged, breath-averaged and digital filter applications. Among exercise physiologists, the strategy used to remove the variability in sequential [OV0312]O2 measurements varied widely, and consisted of time averages (30 sec [38%], 60 sec [18%], 20 sec [11%], 15 sec [8%]), a moving average of five to 11 breaths (10%), and the middle five of seven breaths (7%). Most respondents indicated that they used multiple criteria to establish maximum [OV0312]O 2 ([OV0312]O2max) including: the attainment of age-predicted maximum heart rate (HRmax) [53%], respiratory exchange ratio (RER) >1.10 (49%) or RER >1.15 (27%) and a rating of perceived exertion (RPE) of >17, 18 or 19 (20%). The reasons stated for these strategies included their own beliefs (32%), what they were taught (26%), what they read in research articles (22%), tradition (13%) and the influence of their colleagues (7%). The combination of VE, FEO 2 and FECO2 removed 96-98% of [OV0312]O2 breath-by-breath variability in incremental and steady-state exercise [OV0312]O2 data sets, respectively. Correction of residual error in [OV0312]O2 datasets to 10% of the raw variability results from application of a 30-second time average, 15-breath running average, or a 0.04 Hz low cut-off digital filter. Thus, we recommend that once these data processing strategies are used, the peak or maximal value becomes the highest processed datapoint. Exercise physiologists need to agree on, and continually refine through empirical research, a consistent process for analysing data from indirect calorimetry.

Analysis of interacting uncertainties in on-site and off-site activities: Implications for hybrid construction

Interaction and integration of uncertainties in on-site and off-site project activities often result in the risk of delays and schedule overruns in hybrid construction projects. To address this problem, a holistic risk analysis approach that assesses the integrating impact of uncertainties on completion times is proposed. The results of the analysis show that growth in project size and work quantities intensifies pair and group interconnection of tasks within and between groups of on-site and off-site activities, resulting in lengthened completion times and deviations from project plans. Unavailability of resources, risk seeking attitudes, and workflow variability are other major contributors to the risk of late completion in hybrid construction. While project managers often analyze on-site and off-site uncertainties separately, practical implications of the research results suggest adoption of a holistic approach in which risk management practices in the two environments are integrated. This approach significantly improves tangible performance measures in projects.

Comparison of soluble manganese(IV) and acidic potassium permanganate chemiluminescence detection using flow injection and sequential injection analysis for the determination of ascorbic acid in vitamin C tablets

The limits of detection (3s) for ascorbic acid were 5×10⁻⁸ M with acidic potassium permanganate using both flow injection analysis (FIA) and sequential injection analysis (SIA) whereas the soluble manganese(IV) afforded 1×10⁻⁸ M and 5×10⁻⁹ M for FIA and SIA, respectively. Determinations of ascorbic acid in Vitamin C tablets were achieved with minimal sample pretreatment using a standard additions calibration and gave good agreement with those of iodimetric titration.

The influence of housing size, style and location on energy and greenhouse gas emissions

Concern about the growth of greenhouse gas emissions in Victoria has prompted the introduction of legislation to improve the thermal performance of the residential building envelope. Unfortunately, the size of the house is not considered in the rating tool that underpins the legislation. The energy embodied in the constructional materials is also not considered although it too is directly related to the size of the house. Another intrinsic factor relating residential housing energy and greenhouse gas emissions is the location of the residence and the travel preferences of the homeowner. The relationship between the operational, embodied and travel energy associated with a typical residential scenario in Melbourne over the last 50 years is examined in this paper. The analysis found that by the year 2000, the energy associated with work-related travel (44%) now exceeds the operational energy (37%). In terms of greenhouse gas emissions, the contribution from travel energy is almost double that from operational energy (28%).

Improving on- and off-campus student performance in structural mechanics

This paper investigates the performance of 329 (173 on- and 186  off-campus) students enrolled in two structural mechanics units at Deakin University, a leader in engineering distance-education in Australia. The two units experience unacceptably high rates of failure. An analysis of the assignment, laboratory and examination marks is presented. Consideration is also given to the total marks. The results show that on-campus students perform better in structural mechanics than their off-campus counterparts. Plots of the student performance distributions for the three assessment methods are provided (for each unit) and high failure rates are linked to low examination marks. Students tend to perform best in assignments and worst in examinations. Parametric statistical tests show a correlation between the continuous assessment and examination marks. To motivate students to fully participate in continuous assessment tasks the authors therefore propose several changes to the assessment criteria and marking schemes.

Delivery and assessment strategies to improve on- and off-campus student performance in structural mechanics

This paper considers the delivery and assessment strategies used in two structural mechanics units at Deakin University, a leader in distance education in Australia. The two units have had unacceptably high rates of student failure. Student perceptions of the delivery method were analysed and an investigation was carried out of the performance of 329 (173 on- and 156 off-campus) students enrolled in the two units. An analysis of the assignment, laboratory and examination marks is presented. Consideration is also given to the total marks. The results show that on-campus students performed better in structural mechanics than their off-campus counterparts. Plots of the distributions of student performance for the three assessment methods are provided (for each unit) and high failure rates are linked to low examination marks. Students tended to perform best in assignments and worst in examinations. Parametric statistical tests show a correlation between the marks obtained in continuous assessment and in examinations, and it is therefore proposed that, in order to improve performance, the students must be encouraged to participate fully in all aspects of the course. Many students were unenthusiastic about laboratory practical sessions and did not think they aided their understanding of the theoretical material. Motivation to participate is often dependent on the perceived relevance of a given task and its contribution to the total mark and, thus, to help motivate students to participate fully in the continuous assessment tasks, the authors propose several changes to the delivery methods, as well as to assessment criteria and marking schemes.

Energy and greenhouse gas emissions implications of alternative housing types for Australia

Many cities around the world are looking for ways to reduce their per capita greenhouse gas emissions. The outward growth of cities from a central business district, typical of many cities around the world, is often seen as working against this goal and as unsustainable. This is especially the case in circumstances where this growth is not supported by the necessary infrastructure, often resulting in an increase in the use of private transport. However, alternative scenarios to contain the outward growth are being proposed. This paper provides a comparison of the energy demand and greenhouse gas emissions between typical detached outer-suburban housing currently being built in Australia's major cities and inner-city and -suburban apartments, which are increasingly seen as a legitimate alternative to the housing that is currently being built on our outer city fringes. By analysing the energy demand associated with the construction and operation of each housing type and for occupant travel it was found that the location of the housing and its size are the dominant factors determining energy use and greenhouse gas emissions. The findings from this analysis provide useful information for policy-makers in planning the development of our cities into the future, when faced with a growing population and an increasing need to minimise greenhouse gas emissions.

Rapid discrimination and determination of polyunsaturated fatty acid composition in marine oils by FTIR Spectroscopy and Multivariate Data Analysis

A rapid analytical approach for discrimination and quantitative determination of polyunsaturated fatty acid (PUFA) contents, particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), in a range of oils extracted from marine resources has been developed by using attenuated total reflection Fourier transform infrared spectroscopy and multivariate data analysis. The spectral data were collected without any sample preparation; thus, no chemical preparation was involved, but data were rather processed directly using the developed spectral analysis platform, making it fast, very cost effective, and suitable for routine use in various biotechnological and food research and related industries. Unsupervised pattern recognition techniques, including principal component analysis and unsupervised hierarchical cluster analysis, discriminated the marine oils into groups by correlating similarities and differences in their fatty acid (FA) compositions that corresponded well to the FA profiles obtained from traditional lipid analysis based on gas chromatography (GC). Furthermore, quantitative determination of unsaturated fatty acids, PUFAs, EPA and DHA, by partial least square regression analysis through which calibration models were optimized specifically for each targeted FA, was performed in both known marine oils and totally independent unknown n - 3 oil samples obtained from an actual commercial product in order to provide prospective testing of the developed models towards actual applications. The resultant predicted FAs were achieved at a good accuracy compared to their reference GC values as evidenced through (1) low root mean square error of prediction, (2) good coefficient of determination close to 1 (i.e., R 2≥ 0.96), and (3) the residual predictive deviation values that indicated the predictive power at good and higher levels for all the target FAs. © 2014 Springer Science+Business Media New York.

A pilot assessment of alpha-stat vs pH-stat arterial blood gas analysis after cardiac arrest

PURPOSE: Resuscitated cardiac arrest (CA) patients typically receive therapeutic hypothermia, but arterial blood gases (ABGs) are often assessed after adjustment to 37°C (alpha-stat) instead of actual body temperature (pH-stat). We sought to compare alpha-stat and pH-stat assessment of PaO2 and PaCO2 in such patients. MATERIALS AND METHODS: Using ABG data obtained during the first 24 hours of intensive care unit admission, we determined the impact of measured alpha vs calculated pH-stat on PaO2 and PaCO2 on patient classification and outcomes for CA patients. RESULTS: We assessed 1013 ABGs from 120 CA patients with a median age of patients 66 years (interquartile range, 50-76). Median alpha-stat PaO2 changed from 122 (95-156) to 107 (82-143) mm Hg with pH-stat and median PaCO2 from 39 (34-46) to 35 (30-41) mm Hg (both P < .001). Using the categories of hyperoxemia, normoxemia, and hypoxemia, pH-stat estimation of PaO2 reclassified approximately 20% of patients. Using the categories of hypercapnia, normocapnia, and hypocapnia, pH stat estimation of PaCO2 reclassified approximately 40% of patients. The mortality of patients in different PaO2 and PaCO2 categories was similar for pH-stat and alpha-stat. CONCLUSIONS: Using the pH-stat method, fewer resuscitated CA patients admitted to intensive care unit were classified as hyperoxemic or hypercapnic compared with alpha-stat. These findings suggest an impact of ABG assessment methodology on PaO2, PaCO2 , and patient classification but not on associated outcomes.

Application of multi-criteria decision making methods to compression ignition engine efficiency and gaseous, particulate and greenhouse gas emissions

Compression ignition (CI) engine design is subject to many constraints which presents a multi-criteria optimisation problem that the engine researcher must solve. In particular, the modern CI engine must not only be efficient, but must also deliver low gaseous, particulate and life cycle greenhouse gas emissions so that its impact on urban air quality, human health, and global warming are minimised. Consequently, this study undertakes a multi-criteria analysis which seeks to identify alternative fuels, injection technologies and combustion strategies that could potentially satisfy these CI engine design constraints. Three datasets are analysed with the Preference Ranking Organization Method for Enrichment Evaluations and Geometrical Analysis for Interactive Aid (PROMETHEE-GAIA) algorithm to explore the impact of 1): an ethanol fumigation system, 2): alternative fuels (20 % biodiesel and synthetic diesel) and alternative injection technologies (mechanical direct injection and common rail injection), and 3): various biodiesel fuels made from 3 feedstocks (i.e. soy, tallow, and canola) tested at several blend percentages (20-100 %) on the resulting emissions and efficiency profile of the various test engines. The results show that moderate ethanol substitutions (~20 % by energy) at moderate load, high percentage soy blends (60-100 %), and alternative fuels (biodiesel and synthetic diesel) provide an efficiency and emissions profile that yields the most “preferred” solutions to this multi-criteria engine design problem. Further research is, however, required to reduce Reactive Oxygen Species (ROS) emissions with alternative fuels, and to deliver technologies that do not significantly reduce the median diameter of particle emissions.

On- and off-campus engineering student usage of a computer conferencing system

This article reports on the introduction of a computer-conferencing component into a first-year study unit in technology management at Deakin University, Australia. It was found that significant variations in computer usage were correlated to student study mode, including source of computer access, source of Internet access, hours-per-week computer usage, regular use of e-mail, regular use of the Internet, number of times the conference was accessed, use of computers for games, and use of computers for learning. Other moderate differences were also noted. Following exposure to the computer conference, on-campus students were more likely to agree that computers could assist their learning, and off-campus students were less likely to agree that learning from computers would be better than classes/lectures.

On- and off-campus student persistence and academic performance

A study of more than 9000 unit enrolments in an Australian engineering programme found that: (a) the off-campus withdrawal rate was close to twice that for on-campus students; (b) whether a student withdrew or not was highly correlated to their mode of study; (c) the rate of withdrawal was significantly different between the two student groups; (d) the grade distribution for completing students was significantly different between the two groups; (e) the mean final grade was significantly higher for off-campus students; (f) the failure rate for off-campus students was significantly lower; and (g) the overall wastage rate (withdrawn rate plus fail rate) was significantly higher for off-campus students

Antecedents of recommending infrequently purchased services: a conceptualisation and an empirical analysis

This project aimed to conceptualise and analyse empirically the antecedents of word-of-mouth in the context of an infrequently purchased service (tourism special events). The relationships examined included those between involvement, past experience, overall satisfaction, interest in attending next time, likelihood of attending next time, and the likelihood of recommending to others that they attend the event. There was some support for the overall model, in that the regressing of likelihood of recommending on the other variables produced an equation containing measures of most of the key variables, viz., revisit intention, satisfaction, revisit interest, and involvement. However, involvement appeared to operate in the opposite direction to that hypothesised.

Usage of a computer conferencing system by on- and off-campus engineering students

This paper reports on the introduction of a computer conferencing  component into a first year study unit in Technology Management at Deakin University, Australia. It was found that significant variations in computer  usage were correlated to student study mode, including source of computer access, source of Internet access, hours per week computer usage, regular use of email, regular use of the Internet, and number of times the conference was accessed. Other moderate differences were also noted. Following  exposure to the computer conference, on-campus students were more likely to agree computers could assist their learning, and off-campus students  were less likely to agree that learning from computers would be better than classes/lectures.

Academic performance and persistence of on- and off- campus engineering and technology students

A study of more than 9000 unit enrolments in an Australian engineering program found that: the off-campus withdrawal rate was close to twice that for on-campus students; whether a student withdrew or not was highly correlated to mode of study; the rate of withdrawal was significantly different between the two student groups; the grade distribution for completing students was significantly different between the two groups; the mean final grade was significantly higher for off-campus students; the failure rate for off-campus students was significantly lower; and the overall wastage rate (withdrawn rate plus fail rate) was significantly higher for off-campus students.