University of Wollongong

About: University of Wollongong is a education organization based out in Wollongong, New South Wales, Australia. It is known for research contribution in the topics: Population & Graphene. The organization has 15674 authors who have published 46658 publications receiving 1197471 citations. The organization is also known as: UOW & Wollongong University.

Fire regimes of Australia: A pyrogeographic model system

Abstract: Aim Comparative analyses of fire regimes at large geographical scales can potentially identify ecological and climatic controls of fire. Here we describe Australia’s broad fire regimes, and explore interrelationships and trade-offs between fire regime components. We postulate that fire regime patterns will be governed by trade-offs between moisture, productivity, fire frequency and fire intensity. Location Australia. Methods We reclassified a vegetation map of Australia, defining classes based on typical fuel and fire types. Classes were intersected with a climate classification to derive a map of ‘fire regime niches’. Using expert elicitation and a literature search, we validated each niche and characterized typical and extreme fire intensities and return intervals. Satellite-derived active fire detections were used to determine seasonal patterns of fire activity. Results Fire regime characteristics are closely related to the latitudinal gradient in summer monsoon activity. Frequent low-intensity fires occur in the monsoonal north, and infrequent, high-intensity fires in the temperate south, demonstrating a trade-off between frequency and intensity: that is, very high-intensity fires are only associated with very low-frequency fire regimes in the high biomass eucalypt forests of southern Australia. While these forests occasionally experience extremely intense fires (> 50,000 kW m), such regimes are exceptional, with most of the continent dominated by grass fuels, typically burning with lower intensity (< 5000 kW m). Main conclusions Australia’s fire regimes exhibit a coherent pattern of frequent, grass-fuelled fires in many differing vegetation types. While eucalypts are a quintessential Australian entity, their contribution as a dominant driver of high-intensity fire regimes, via their litter and bark fuels, is restricted to the forests of the continent’s southern and eastern extremities. Our analysis suggests that the foremost driver of fire regimes at the continental scale is not productivity, as postulated conceptually, but the latitudinal gradient in summer monsoon rainfall activity.

A basic model of electronic commerce adoption barriers: A study of regional small businesses in Sweden and Australia

Abstract: Purpose – To develop a basic model of e‐commerce adoption barriers to small businesses located in regional areas of developed countries.Design/methodology/approach – An empirical survey of 477 small businesses in Sweden and Australia about e‐commerce adoption and implementation. The data was analysed using correlation matrices and factor analysis to derive a model of e‐commerce barriers.Findings – E‐commerce adoption barriers to small businesses in regional areas in both Sweden and Australia can be grouped according to two distinct factors: e‐commerce is either “too difficult” or “unsuitable” for the business. The model derived is based on these factors.Research limitations/implications – Limitations – inability to derive industry specific conclusions; standard limitations associated with mailed survey instruments; further qualitative research is necessary. Research implications – “first of its kind” model of e‐commerce adoption barriers to small businesses located in regional areas; consolidated understa...

Band-gap engineering of BiOCl with oxygen vacancies for efficient photooxidation properties under visible-light irradiation

Abstract: It remains a great challenge to understand the role of oxygen vacancies in determining the photooxidation properties of semiconductors under visible-light irradiation. Herein, BiOCl with oxygen vacancies is proposed as an excellent model to study the relationship between oxygen vacancies and photooxidation properties. BiOCl nanosheets with abundant oxygen vacancies are synthesized via a facile solvothermal route. Theoretical and experimental results reveal that after the introduction of oxygen vacancies, a new electron donor level appears in the band gap of BiOCl, extending the absorption from the ultraviolet to the visible regime. As expected, BiOCl nanosheets with oxygen vacancies exhibit visible-light-driven photocatalytic activity towards oxygen evolution. In addition, BiOCl with abundant oxygen vacancies exhibits a higher visible-light photocurrent and more efficient photoinduced charge separation and transportation than BiOCl with a small number of oxygen vacancies. The introduction of oxygen vacancies on the surfaces of semiconductors provides a promising way to improve the visible-light photooxidation activity of photocatalysts.

Enhanced Structural Stability of Nickel-Cobalt Hydroxide via Intrinsic Pillar Effect of Metaborate for High-Power and Long-Life Supercapacitor Electrodes.

Abstract: Layered α-Ni(OH)2 and its derivative bimetallic hydroxides (e.g., α-(Ni/Co)(OH)2) have attracted much attention due to their high specific capacitance, although their insufficient cycling stability has blocked their wide application in various technologies. In this work, we demonstrate that the cycling performance of α-(Ni/Co)(OH)2 can be obviously enhanced via the intrinsic pillar effect of metaborate. Combining the high porosity feature of the metaborate stabilized α-(Ni/Co)(OH)2 and the improved electronic conductivity offered by graphene substrate, the average capacitance fading rate of the metaborate stabilized α-(Ni/Co)(OH)2 is only ∼0.0017% per cycle within 10 000 cycles at the current density of 5 A g–1. The rate performance is excellent over a wide temperature range from −20 to 40 °C. We believe that the enhancements should mainly be ascribed to the excellent structural stability offered by the metaborate pillars, and the detailed mechanism is discussed.

Self-regulation in childhood as a predictor of future outcomes: A meta-analytic review

Abstract: This meta-analysis explores whether self-regulation in childhood relates to concurrent and subsequent levels of achievement, interpersonal behaviors, mental health, and healthy living. A comprehensive literature search identified 150 studies that met inclusion criteria (745 effect sizes; total n = 215,212). Data were analyzed using inverse-variance weighted random effects meta-analysis. Mean effect sizes from 55 meta-analyses provided evidence that self-regulation relates to 25 discrete outcomes. Results showed that self-regulation in preschool (∼age 4) was positively associated with social competency, school engagement, and academic performance, and negatively associated with internalizing problems, peer victimization, and externalizing problems, in early school years (∼age 8). Self-regulation in early school years was positively related to academic achievement (math and literacy), and negatively related to externalizing problems (aggressive and criminal behavior), depressive symptoms, obesity, cigarette smoking and illicit drug use, in later school years (∼age 13). Results also showed that self-regulation in early school years was negatively related to unemployment, aggressive and criminal behavior, depression and anxiety, obesity, cigarette smoking, alcohol and substance abuse, and symptoms of physical illness in adulthood (∼age 38). Random effects metaregression identified self-regulation measurement as the most important moderator of pooled mean effects, with task-based assessments and teacher-report assessments often showing stronger associations than parent-report assessments. Overall, findings from this meta-analysis provide evidence that self-regulation in childhood can predict achievement, interpersonal behaviors, mental health, and healthy living in later life. (PsycINFO Database Record (c) 2020 APA, all rights reserved).