Opin vísindi

 

Nýlega bætt við

Verk
One year follow-up of participants in a randomised controlled trial of a CBT-based group therapy programme for adolescents diagnosed with ADHD
(2024) Andersen, Ann Christin; Sund, Anne Mari; Thomsen, Per Hove; Lydersen, Stian; Young, Susan; Nøvik, Torunn Stene
Background: Adolescents with ADHD often struggle on many areas of their lives and have a high risk of adverse outcomes and negative life trajectories. Multimodal treatment including psychosocial interventions is recommended but evidence regarding effect of such interventions is still limited. Materials and methods: This study was a follow-up study of adolescents participating in a randomised controlled trial (RCT) of a group intervention based on cognitive behavioural therapy (CBT). Participants were adolescents diagnosed with ADHD and still impaired by their symptoms after standard treatment including psychoeducation and medication. All participants were interviewed by telephone one year after inclusion, and outcome measures included both quantitative and qualitative measures. Results: There were 100 adolescents included in the study. We found no significant differences between treatment and control group on measures of ADHD-symptoms, self-efficacy, overall problems, global psychosocial functioning, or symptom severity at one-year follow-up. Still, participants in the intervention group reported on positive gains and that they learned a lot about ADHD and themselves. Conclusions: The intervention delivered in this trial failed to show a treatment effect on symptom level when added to standard care. Participants did however report on positive gains and felt they learned a lot. More research is needed to explore how the programme and delivery of treatment might be improved, and which patients might benefit the most from this type of interventions.
Verk
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.
Verk
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.
Verk
Diversity Minimal Item Set for New Zealand
(Diversity Assessment Research Group, 2024) Wu, Lisa Maria; Department of Psychology
Verk
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.

Flokkar í Opnum vísindum

Veldu flokk til að skoða.

Niðurstöður 1 - 9 af 9