Showing papers by "Queensland University of Technology published in 2022"
TL;DR: The Post-hospitalisation COVID-19 study (PHOSP-COVID) as mentioned in this paper is a prospective, longitudinal cohort study recruiting adults (aged ≥18 years) discharged from hospital with COVID19 across the UK.
118 citations
TL;DR: In this article, a reactive multifunctional heterostructure, copper-organophosphate-MXene (CuP- MXene) by rational design is presented, which exhibits satisfactory flame retardancy (UL-94-V-0 rating, peak heat release rate decreased by 64.4% and improved mechanical properties (tensile strength, elastic modulus and impact strength increased by 31.7%, 38.9%, and 25.0%, respectively) relative to virgin Epoxy resins, outperforming its previous counterparts.
110 citations
TL;DR: Investigation of the synergistic influence of key water, sediment and ionic properties on the adsorption-desorption behavior of weakly-bound heavy metals provides fundamental knowledge for understanding the mobility and potential ecotoxicological impacts of heavy metals in aquatic ecosystems.
73 citations
TL;DR: In this paper, the authors introduced Ag2Te into n-type Pb0.975Cr0.025Te for achieving a high peak figure of merit of 1.5 at 773 K. This high value is attributed to the synergistic optimization of carrier and phonon transports by introducing and the dynamic doping of Ag.
57 citations
TL;DR: In this paper , the authors summarized the motivation and potential of the 6G communication system and discussed its key features, and the current state-of-the-art of 5G antenna technology, which includes existing 5G antennas and arrays and 5G wearable antennas, are summarized.
Abstract: Next-generation communication systems and wearable technologies aim to achieve high data rates, low energy consumption, and massive connections because of the extensive increase in the number of Internet-of-Things (IoT) and wearable devices. These devices will be employed for many services such as cellular, environment monitoring, telemedicine, biomedical, and smart traffic, etc. Therefore, it is challenging for the current communication devices to accommodate such a high number of services. This article summarizes the motivation and potential of the 6G communication system and discusses its key features. Afterward, the current state-of-the-art of 5G antenna technology, which includes existing 5G antennas and arrays and 5G wearable antennas, are summarized. The article also described the useful methods and techniques of exiting antenna design works that could mitigate the challenges and concerns of the emerging 5G and 6G applications. The key features and requirements of the wearable antennas for next-generation technology are also presented at the end of the paper.
37 citations
TL;DR: In this article, the nexus between sustainability innovation, firm performance of small and medium-sized enterprises (SMEs) by exploring the mediating role of firm competitiveness in the context of an emerging market is explored.
36 citations
TL;DR: In this article , the mediating role of firm competitiveness between sustainability innovation and SMEs' performance is explored in the context of an emerging market, and the results reveal that there is a significant and positive relationship among sustainability innovation, firm competitiveness, and financial, environmental, and operational performance.
36 citations
TL;DR: In this paper , the authors trace the historical growth and future of the aviation and aerospace industry and examine how hydrogen can be used in the air and on the ground to lower the aviation industry's impact on the environment.
Abstract: As the global search for new methods to combat global warming and climate change continues, renewable fuels and hydrogen have emerged as saviours for environmentally polluting industries such as aviation. Sustainable aviation is the goal of the aviation industry today. There is increasing interest in achieving carbon-neutral flight to combat global warming. Hydrogen has proven to be a suitable alternative fuel. It is abundant, clean, and produces no carbon emissions, but only water after use, which has the potential to cool the environment. This paper traces the historical growth and future of the aviation and aerospace industry. It examines how hydrogen can be used in the air and on the ground to lower the aviation industry’s impact on the environment. In addition, while aircraft are an essential part of the aviation industry, other support services add to the overall impact on the environment. Hydrogen can be used to fuel the energy needs of these services. However, for hydrogen technology to be accepted and implemented, other issues such as government policy, education, and employability must be addressed. Improvement in the performance and emissions of hydrogen as an alternative energy and fuel has grown in the last decade. However, other issues such as the storage and cost and the entire value chain require significant work for hydrogen to be implemented. The international community’s alternative renewable energy and hydrogen roadmaps can provide a long-term blueprint for developing the alternative energy industry. This will inform the private and public sectors so that the industry can adjust its plan accordingly.
33 citations
TL;DR: In this article , a heterostructured porous carbon framework (PCF) composed of reduced graphene oxide (rGO) nanosheets and metal organic framework (MOF)-derived microporous carbon is prepared to investigate its potential use in a lithium-ion battery.
32 citations
TL;DR: In this article, the landscape and temporal trends of road safety research in low and middle-income countries (LMICs) are analysed while contrasting them with those of the general scholarly literature on road safety.
32 citations
TL;DR: In this article , the structural stability of sugarcane biomass derived carbon was investigated and the relative energy density (ER, combination of the capacity and voltage plateau), and a high ER of 500 Wh kg−1 was obtained.
TL;DR: In this article, the authors review the production processes of bio-based adhesives from different bio-resources, their necessary modification for improving properties and their utilization in the wood-based industries.
TL;DR: In this article, the authors provide a comprehensive systematic review of the relevant sharing economy literature to determine influential factors and their impacts on sharing economy business performance and develop a conceptual model based on the strategy and institutional literature where they uncover differences for emerging markets.
TL;DR: In this article, a novel relative humidity self-calibration strategy was proposed to eliminate the influence of humidity and enable the accurate quantitative detection of gas in the total RH range.
TL;DR: A quaternary ammonium functionalized chitosan/graphene oxide composite aerogel (GO-QACSA) was developed as an effective adsorbent for the removal of high-molecular-weight reducing sugar alkaline degradation products (HRSADPs), the main class of colorants in remelt syrup.
TL;DR: In this paper, an environmentally friendly, low cost reduced graphene oxide-silver-silver oxide nanocomposite with strong photocatalytic, antioxidant and antibacterial activity for environmental remediation is presented.
TL;DR: In this article, the authors used EGaIn as an aluminum reservoir to prepare LDH and metal organic framework (MOFs) nano-arrays, which can be transformed into CoAl-LDO@Co-C in the subsequent annealing process performed under nitrogen environments.
TL;DR: In this article, the photocatalytic oxidation of benzyl alcohol by zinc oxide (ZnO) nanocrystals was investigated to clarify the mechanism of selective oxidation with this process.
TL;DR: In this paper , the authors review the production processes of bio-based adhesives from different bio-resources, their necessary modification for improving properties and their utilization in the wood-based industries.
TL;DR: In this article, the authors present a comprehensive review of relevant features for System-Theoretic Process Analysis (STPA) and Causal Analysis based on System Theory (CAST) for safety studies, including the system type and domain of analysis, coverage and completeness of the analytical and methodological steps, respectively.
TL;DR: In this article, the hollow TiO2 microspheres with an appropriate thickness are confined in carbon micro-spheres (CMSs), which are physically integrated with carbon-fiber textile by van der Waals (vdW) interactions to generate separable and recyclable hollowTiO2@cMSs/carbon fiber vdW heterostructures.
TL;DR: In this article , a profile-likelihood approach is used to explore the relationship between parameter identifiability and model misspecification, finding that the logistic growth model does not suffer identifier issues for the type of data we consider whereas the Gompertz and Richards' models encounter practical non-identifier issues.
TL;DR: In this article, a roller-comb-like 1D nanostructure is synthesized by a template-assisted method with pyrolysis to create such bifunctional catalysts.
01 Jan 2022
TL;DR: GMM-Det as discussed by the authors is a real-time method for extracting epistemic uncertainty from object detectors to identify and reject open-set errors, where the detector produces a structured logit space that is modelled with class-specific Gaussian Mixture Models.
Abstract: Deployed into an open world, object detectors are prone to open-set errors, false positive detections of object classes not present in the training dataset.We propose GMM-Det, a real-time method for extracting epistemic uncertainty from object detectors to identify and reject open-set errors. GMM-Det trains the detector to produce a structured logit space that is modelled with class-specific Gaussian Mixture Models. At test time, open-set errors are identified by their low log-probability under all Gaussian Mixture Models. We test two common detector architectures, Faster R-CNN and RetinaNet, across three varied datasets spanning robotics and computer vision. Our results show that GMM-Det consistently outperforms existing uncertainty techniques for identifying and rejecting open-set detections, especially at the low-error-rate operating point required for safety-critical applications. GMM-Det maintains object detection performance, and introduces only minimal computational overhead. We also introduce a methodology for converting existing object detection datasets into specific open-set datasets to evaluate open-set performance in object detection.
TL;DR: In this paper , the hollow TiO2 microspheres with an appropriate thickness are confined in carbon micro-spheres (CMSs), which are physically integrated with carbon-fiber textile by van der Waals (vdW) interactions to generate separable and recyclable hollowTiO2@cMSs/carbon fiber vdW heterostructures.
TL;DR: IONIS-FXIRx was shown to reduce FXI activity in patients with end-stage renal disease requiring hemodialysis (ESRD) using a double-blind, randomized design as discussed by the authors .
TL;DR: In this article, the threats to human health from global environmental changes (GECs) are increasing in the Anthropocene epoch, and urgent actions are required to tackle these pressing challenges.
TL;DR: In this article, the authors explored three omnichannel retailing models, i.e., a Buy-Online, Pick-Up In-Store (BOPS) model, a Showroom model, and an Interactive model, under which the retailer offers coupons online and invests in service efforts offline.
TL;DR: In this article , the authors identify the key factors affecting smart city transformation readiness in the context of Australian cities and quantitatively evaluate, through a multiple regression analysis, the key features affecting their urban smartness levels.
TL;DR: In this article , the authors examined the impact of individuals' personality traits categorised by the five-factor model, or the Big Five, on their leisure travel intentions during and after the COVID-19 pandemic.
Abstract: The tourism sector has been deeply ravaged by the COVID-19 pandemic as many individuals abstained entirely from travel. Thus, before contemplating the trajectory of the sector's recovery, it is essential to understand individuals' travel intentions both during and after the pandemic. The present study contributes in this regard by examining the impact of individuals' personality traits categorised by the five-factor model, or the Big Five, on their leisure travel intentions during and after the pandemic. To this end, we utilised an artificial neural network (ANN) approach to analyse 500 responses from individuals residing in Japan. The results reveal that extraversion has the strongest relative influence on intentions to travel during the pandemic, whereas openness to experience has the strongest influence on travel intentions after the pandemic. This study is the first of its kind to examine the influence of the Big Five personality traits on travel intentions in the context of a pandemic.