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Nutritional knowledge, attitudes and behaviours in rugby league; influences of age, body composition and ancestry
(2024) Sharples, Alice; Duffield, Rob; Wade, Jarrod; Fullagar, Hugh H.K.; Department of Sport Science
Introduction: Rugby league is a physically demanding sport that necessitates considerable nutritional intake, focusing on quality and type, in order to optimize training and competition demands. However, rugby league athletes are reported to have inadequate nutrition intake to match these demands. Some factors that may determine an athlete’s nutrition intake have been reported in other sports, including (but not limited to, knowledge, time, cooking skills, food costs, income, belief in the importance of nutrition, body composition goals, and family/cultural support). However, these potential factors are relatively unexplored in rugby league, where a range of personal (age, body composition) or social (ancestry) influences could affect nutritional intake. Further exploration of these factors is warranted to understand the knowledge, attitudes and behavior underlying rugby league athletes’ nutritional intake that can provide practitioners with a more detailed understanding of how to approach nutrition behaviors and attitudes in rugby league athletes. Objectives: The primary aim was to describe the nutrition behaviors and knowledge of rugby league athletes. A secondary aim was to compare nutrition knowledge and behavior based on age, body composition and self-identified ancestry. Methods: Fifty professional rugby league athletes anonymously completed a seventy-six-question online survey. The survey consisted of three sections : 1) sports nutrition knowledge, 2) attitudes toward nutrition on performance, and 3) nutrition behaviors. All participants completed the online survey without assistance using their own personal device, with data entered via REDCap during pre-season. Nutrition knowledge was compared based on age (years), body composition (body fat percentage (%)) and ancestral groups (Pasifika, Aboriginal and/or Torres Strait Islander (ATSI) and Anglo- European). Pearson correlation was used for the relationship between nutrition knowledge, age and body composition. An Analysis of Covariance (ANCOVA) was used to determine nutrition knowledge differences between ancestral groups with age and body composition as covariates. Attitudes and behaviors were compared based on age groups (<20, 20–24 and >25 y), ancestry and body composition. Attitudes and behaviors were analyzed by Pearson correlation for body composition, one-way ANOVA for age groups and ANCOVA for ancestry with covariates age and body composition. Results: Overall athletes’ nutrition knowledge score was reported as 40 ± 12% (overall rating “poor”). Nutritional behaviors were significant for body composition, as those with lower body fat percentage had higher intakes of vegetables and dairy products (p = 0.046, p = 0.009), and ate more in the afternoon (lunch p = 0.048, afternoon snack p = 0.036). For ancestry, after adjustment for both age and body composition, Pasifika athletes were more inclined to miss breakfast and lunch compared to their Anglo-European (p = 0.037, p = 0.012) and ATSI (p = 0.022, p = 0.006) counterparts and ate more fruit than Anglo-Europeans (p = 0.006, p = 0.016). After adjustment for body composition, ATSI athletes also viewed the impact of nutrition on mental health and well-being significantly lower than Pasifika (p = 0.044). Conclusion: These findings suggest differences exist within rugby league athletes based on ancestral backgrounds and body composition for nutrition attitudes, behaviors and knowledge. Such outcomes could be used when designing nutrition education interventions, with consideration given to these factors to optimize long-term positive behavior change.
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GALOIS CONNECTING CALL-BY-VALUE AND CALL-BY-NAME
(2024) McDermott, Dylan; Mycroft, Alan; Department of Computer Science
We establish a general framework for reasoning about the relationship between call-by-value and call-by-name. In languages with computational effects, call-by-value and call-by-name executions of programs often have different, but related, observable behaviours. For example, if a program might diverge but otherwise has no effects, then whenever it terminates under call-by-value, it terminates with the same result under call-by-name. We propose a technique for stating and proving properties like these. The key ingredient is Levy’s call-by-push-value calculus, which we use as a framework for reasoning about evaluation orders. We show that the call-by-value and call-by-name translations of expressions into call-by-push-value have related observable behaviour under certain conditions on computational effects, which we identify. We then use this fact to construct maps between the call-by-value and call-by-name interpretations of types, and identify further properties of effects that imply these maps form a Galois connection. These properties hold for some computational effects (such as divergence), but not others (such as mutable state). This gives rise to a general reasoning principle that relates call-by-value and call-by-name. We apply the reasoning principle to example computational effects including divergence and nondeterminism.
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Diversity Minimal Item Set for New Zealand
(Diversity Assessment Research Group, 2024) Wu, Lisa Maria; Department of Psychology
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Computational analysis of turbulent flow characteristics in nanofluids containing 1-D and 2-D carbon nanomaterials : grid optimization and performance evaluation
(2024) Tao, Hai; Aldlemy, Mohammed Suleman; Homod, Raad Z.; Mohammed, Mustafa K.A.; Mallah, Abdul Rahman; Alawi, Omer A.; Shafik, Shafik S.; Togun, Hussein; Klimova, Blanka; Alzahrani, Hassan; Yaseen, Zaher Mundher
1D and 2D carbon nanomaterials such as multi-walled carbon nanotubes (MWCNTs) and graphene nanoplatelets (GNPs) were investigated numerically. The thermophysical properties of water and nanofluids using MWCNTs in different outer diameters (ODs) and GNPs in different surface areas (SSA) were measured at an inlet temperature of 303.15 K and 0.1wt.%. The 3D geometry was solved under a fully developed turbulent flow of 6000 ≤ Re ≤ 16,000 using the model of k-ω SST via (ANSYS FLUENT 2022R2) software. Four numerical networks, Polyhedra, Polyhexacore, Hexacore, and Tetrahedral, were optimized. Moreover, seven parameters were discussed, namely wall surface temperature (Tw), heat transfer coefficient (htc), average Nusselt number (Nuavg), friction factor (f), pressure drop (ΔP), and total thermal performance index (PIth). Polyhexacore was the main grid over Polyhedra, Hexacore, and Tetrahedral with the average error (Dittus-Boelter: 2.754%, Gnielinski: 2.343%, Blasius: 1.441%, and Petukhov: 0.640%). Heat transfer increased by 18.38% with GNPs-300, 22.05% with GNPs-500, 23.25% with GNPs-750, 13.63% with CNT < 8 nm, and 11.42% with CNT 20–30 nm, relative to H2O at Re = 16,000. Pressure drop increased by about 42.01% with GNPs-300, 45.16% with GNPs-500, 44.84% with GNPs-750, 36.72% with CNT < 8 nm, and 34.39% with CNT 20-30 nm.
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CODESIGNING AN EXPEDITION LEARNING SEMESTER AROUND EUROPE FOR FUTURE RESPONSIBLE ENGINEERS
(European Society for Engineering Education (SEFI), 2024) Rouvrais, S.; Audunsson, H.; Barus, A.; Silalahi, S.; Zufferey, Jessica Dehler; Langie, Greet; Tormey, Roland; Nagy, Balazs Vince; Department of Engineering
Decarbonization is a major objective of the European Union (EU) to achieve carbon neutrality by 2050. As an example, for the transport sector, shipbuilders and engine manufacturers are exploring prototypes and designs for ships powered by alternative propulsion systems to fuel energy, like wind-assisted propulsion. Higher Education Institutions (HEIs), through their science and technology curricula, must now prepare the next generation of responsible engineers to support these ecological transitions. To guide educational program leaders and curriculum designers, the active workshop presented here permits to codesign a pan-European Master level semester on energy EU sovereignty and decarbonization. The context is a 5-month expedition in an imagined cruise ship, a nomadic university which provides accommodation for the students with learning and teaching workspaces. This low-carbon ship, as a floating Lab, is to travel between several European cities, to meet various academic, scientific and industrial communities during the itinerary. This paper reviews the activities and phases of this exciting workshop, operated several times in 2024, e.g. during the SEFI 2024 conference at Swiss Federal Institute of Technology. In sub-groups, participants propose their itinerary on a given geographical map and sketch out an original joint curriculum with the aid of a canvas of nine components elaborated in a project funded by the European Commission. No prior knowledge or expertise in energy topics are needed, just openness to new ideas and creativity in collaborative curriculum design.

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