Showing papers by "University of Queensland 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
Commonwealth Scientific and Industrial Research Organisation1, University of Notre Dame2, University of Melbourne3, University of Barcelona4, Instituto Nacional de Saúde Dr. Ricardo Jorge5, Queensland Health6, University of Queensland7, University of North Carolina at Chapel Hill8, University of South Australia9, Michigan State University10, Vienna University of Technology11, University of Health Sciences Antigua12, Southern Nevada Water Authority13, Southern California Coastal Water Research Project14, Drexel University15, Arizona State University16, National Environment Agency17, University of South Florida18, International Centre for Diarrhoeal Disease Research, Bangladesh19, University of New South Wales20, Stellenbosch University21, Hokkaido University22, United States Environmental Protection Agency23, Istituto Superiore di Sanità24, University of Georgia25, University of Wisconsin–Milwaukee26, University College Dublin27, University of Guelph28, University of California, Merced29, Griffith University30, University of Helsinki31, National Institute for Health and Welfare32, National University of Salta33, Spanish National Research Council34, Tulane University35, Chulabhorn Research Institute36, National University of Singapore37, Tohoku University38, Nanyang Technological University39, University of Minnesota40
TL;DR: A technical review of factors that can lead to false-positive and -negative errors in the surveillance of SARS-CoV-2, culminating in recommendations and strategies that can be implemented to identify and mitigate these errors.
116 citations
TL;DR: In this paper, the authors provide an overview of recent advances of chitosan-based adsorbents that established better adsorption activities towards various hazard heavy metals, including: As(III), As(V), Cu(II), Cr(VI), Pb(II) and Cd(II).
74 citations
TL;DR: In this article, the authors reported the synthesis of Cu3P-Cu2O Janus bifunctional catalysts into a N, P co-doped 3D hierarchically porous carbon framework.
71 citations
TL;DR: A comprehensive review of polyvinyl alcohol (PVA) hydrogels prepared by the freezing/thawing (F-T) process is presented in this paper , where the authors discuss their preparation, gelation mechanisms, handling of physical/mechanical properties, physicochemical characteristics, and various applications.
59 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 article, a comprehensive review of metabolic biomarkers associated with environmental exposure and effect was presented, focusing on metabolic disorders such as diabetes and obesity, which can be influenced by the exposure to contaminants such as endocrine disrupting chemicals (EDCs), along with genetic and lifestyle factors.
56 citations
TL;DR: In this article, the microplastic pollutants in different countries and regions were comparatively investigated in terms of their abundances, morphologies, and polymer types in the water and sediments of lakes.
49 citations
Griffith University1, University of Porto2, Stazione Zoologica Anton Dohrn3, University of Queensland4, Van Hall Larenstein University of Applied Sciences5, Aristotle University of Thessaloniki6, University of the Aegean7, Open University of Cyprus8, Royal Belgian Institute of Natural Sciences9, University of Milano-Bicocca10, University of Salford11
TL;DR: The European Union (EU) has committed to an ambitious biodiversity recovery plan in its Biodiversity Strategy for 2030 and the Green Deal, focusing on restoring degraded habitats, extending the network of protected areas (PAs), and improving the effectiveness of management, governance, and funding as mentioned in this paper.
40 citations
TL;DR: In this article, the authors focus on interfacial modification between the perovskite active layer and the charge transport layer, as well as the recent advances on high-efficiency and stable PSCs driven by interface engineering strategies.
Abstract: Lead halide perovskite solar cells (PSCs) have been rapidly developed in the past decade. Owing to its excellent power conversion efficiency with robust and low-cost fabrication, perovskite quickly becomes one of the most promising candidates for the next-generation photovoltaic technology. With the development of PSCs, the interface engineering has witnessed its increasingly critical role in maximizing the device performance as well as the long-term stability, because the interfaces in PSCs are closely correlated with the defect management, carrier dynamics and surface passivation. This review focuses on interfacial modification between the perovskite active layer and the charge transport layer, as well as the recent advances on high-efficiency and stable PSCs driven by interface engineering strategies. The contributing roles of interface engineering in terms of defect passivation, inhibiting ion migration, optimization of energy band alignment and morphological control are discussed. Finally, based on the latest progress and advances, strategies and opportunities for the future research on interface engineering for PSCs are proposed to promote the development of perovskite photovoltaic technology.
38 citations
TL;DR: Lifestyle outcomes associated with engagement in eSports and video gaming are important to consider and emphasizes the need for longitudinal studies which examine characteristics of gaming that may increase young people's risk of practicing unhealthy lifestyle behaviours.
TL;DR: Zhang et al. as mentioned in this paper proposed a hierarchical hyperedge embedding-based group recommender, called HyperGroup, which leverages user-user interactions to alleviate the sparsity issue of user-item interactions, and design a graph neural network-based representation learning network to enhance the learning of individuals' preferences from their friends' preferences.
Abstract: Group recommendation aims to recommend items to a group of users. In this work, we study group recommendation in a particular scenario, namely occasional group recommendation, where groups are formed ad hoc and users may just constitute a group for the first time—that is, the historical group-item interaction records are highly limited. Most state-of-the-art works have addressed the challenge by aggregating group members’ personal preferences to learn the group representation. However, the representation learning for a group is most complex beyond the aggregation or fusion of group member representation, as the personal preferences and group preferences may be in different spaces and even orthogonal. In addition, the learned user representation is not accurate due to the sparsity of users’ interaction data. Moreover, the group similarity in terms of common group members has been overlooked, which, however, has the great potential to improve the group representation learning. In this work, we focus on addressing the aforementioned challenges in the group representation learning task, and devise a hierarchical hyperedge embedding-based group recommender, namely HyperGroup. Specifically, we propose to leverage the user-user interactions to alleviate the sparsity issue of user-item interactions, and design a graph neural network-based representation learning network to enhance the learning of individuals’ preferences from their friends’ preferences, which provides a solid foundation for learning groups’ preferences. To exploit the group similarity (i.e., overlapping relationships among groups) to learn a more accurate group representation from highly limited group-item interactions, we connect all groups as a network of overlapping sets (a.k.a. hypergraph), and treat the task of group preference learning as embedding hyperedges (i.e., user sets/groups) in a hypergraph, where an inductive hyperedge embedding method is proposed. To further enhance the group-level preference modeling, we develop a joint training strategy to learn both user-item and group-item interactions in the same process. We conduct extensive experiments on two real-world datasets, and the experimental results demonstrate the superiority of our proposed HyperGroup in comparison to the state-of-the-art baselines.
01 Jan 2022
TL;DR: In this paper , the authors present the first overview of the "wicked problems" literature and contextualize the debate using relevant policy examples, and provide an open access book on the topic.
Abstract: This open access book offers the first overview of the ‘wicked problems’ literature and contextualises the debate using relevant policy examples
TL;DR: The authors argue that a distinctly positive form of social connection is made possible by the social identities that people derive from psychologically meaningful group memberships, and that a good way to tackle loneliness and support mental health is by building, restoring, and sustaining social identities through meaningful group-based connections.
Abstract: This review argues that a distinctly positive form of social connection is made possible by the social identities that people derive from psychologically meaningful group memberships. These connections have important implications for mental health by virtue of their distinct capacity to furnish people with a sense of collective meaning, purpose, support, and efficacy. This analysis suggests that loneliness and its toxic effects arise in part from the challenges of achieving this distinct form of social connection in contemporary society. However, it also suggests that a good way to tackle loneliness and support mental health is by building, restoring, and sustaining social identities through meaningful group-based connections. We conclude by reflecting on the success of interventions that do precisely this - most notably Groups 4 Health.
TL;DR: In this article , solvent-free solid polymer electrolytes (SPEs) based on a perfluoropolyether-terminated polyethylene oxide (PEO)-based block copolymer were designed and developed for safe and stable all-solid-state sodium metal batteries.
Abstract: Rechargeable batteries paired with sodium metal anodes are considered to be one of the most promising high-energy and low-cost energy-storage systems. However, the use of highly reactive sodium metal and the formation of sodium dendrites during battery operation have caused safety concerns, especially when highly flammable liquid electrolytes are used. Here we design and develop solvent-free solid polymer electrolytes (SPEs) based on a perfluoropolyether-terminated polyethylene oxide (PEO)-based block copolymer for safe and stable all-solid-state sodium metal batteries. Compared with traditional PEO SPEs, our results suggest that block copolymer design allows for the formation of self-assembled nanostructures leading to high storage modulus at elevated temperatures with the PEO domains providing transport channels even at high salt concentration (ethylene oxide/sodium = 8/2). Moreover, it is demonstrated that the incorporation of perfluoropolyether segments enhances the Na+ transference number of the electrolyte to 0.46 at 80 °C and enables a stable solid electrolyte interface. The new SPE exhibits highly stable symmetric cell-cycling performance at high current density (0.5 mA cm−2 and 1.0 mAh cm−2, up to 1,000 h). Finally, the assembled all-solid-state sodium metal batteries demonstrate outstanding capacity retention, long-term charge/discharge stability (Coulombic efficiency, 99.91%; >900 cycles with Na3V2(PO4)3 cathode) and good capability with high loading NaFePO4 cathode (>1 mAh cm−2). Rechargeable batteries with sodium metal anodes are promising as energy-storage systems despite safety concerns related to reactivity and dendrite formation. Solvent-free perfluoropolyether-based electrolytes are now reported for safe and stable all-solid-state sodium metal batteries.
TL;DR: The authors argue that a distinctly positive form of social connection is made possible by the social identities that people derive from psychologically meaningful group memberships, and that a good way to tackle loneliness and support mental health is by building, restoring, and sustaining social identities through meaningful group-based connections.
Abstract: This review argues that a distinctly positive form of social connection is made possible by the social identities that people derive from psychologically meaningful group memberships. These connections have important implications for mental health by virtue of their distinct capacity to furnish people with a sense of collective meaning, purpose, support, and efficacy. This analysis suggests that loneliness and its toxic effects arise in part from the challenges of achieving this distinct form of social connection in contemporary society. However, it also suggests that a good way to tackle loneliness and support mental health is by building, restoring, and sustaining social identities through meaningful group-based connections. We conclude by reflecting on the success of interventions that do precisely this - most notably Groups 4 Health.
TL;DR: In this article , the formation of YTHDC1 nuclear condensates is proposed as a general mechanism that underlies its diverse functions in the nucleus, highlighting its multiple modes of action in regulating gene expression.
TL;DR: In this paper, the authors assessed the composition of single-use face mask materials, quantified the concentration of phthalate esters in masks and evaluated associated inhalation exposure risk.
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21 Jan 2022TL;DR: Work recovery is important for sustaining employees' well-being, motivation, and job performance as mentioned in this paper, and research on work recovery has grown tremendously in the last few decades and decades.
Abstract: Unwinding and recovering from everyday work is important for sustaining employees’ well-being, motivation, and job performance. Accordingly, research on work recovery has grown tremendously in the ...
TL;DR: In this paper, a hybrid constitutive model which combines the phenomenological, thermal activation and dislocation annihilation models is established and experimentally calibrated for ultrasonic-assisted incremental sheet forming (UISF).
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 paper , the authors identify 21 country-level factors that explain marked variations in weekly COVID-19 morbidity and mortality across 91 countries between January and the end of 2020.
Abstract: We identify 21 predetermined country-level factors that explain marked variations in weekly COVID-19 morbidity and mortality across 91 countries between January and the end of 2020. Besides factors commonly associated with infectious diseases (e.g., population and tourism activities), we discover a list of country characteristics that shape COVID-19 outcomes. Among demographic-geographic factors, the male-to-female ratio, population density, and urbanization aggravate the severity of COVID-19, while education, temperature, and religious diversity mitigate the impact of the pandemic on morbidity and mortality. For the political-legal dimension, democracy and political corruption are aggravating factors. In contrast, female leadership, the strength of legal systems, and public trust in government significantly reduce infections and deaths. In terms of socio-economic aspects, GDP per capita, income inequality, and happiness (i.e., life satisfaction) lead to worse COVID-19 outcomes. Interestingly, technology advancement increases morbidity but reduces mortality. For healthcare factors, SARS (severe acute respiratory syndrome) experience and healthcare infrastructure help countries perform better in combating the pandemic.
TL;DR: In this paper , a spatiotemporal analysis on intra-host single-nucleotide variants (iSNVs) in 402 clinical samples from 170 affected individuals was performed, revealing an increase in genetic diversity over time after symptom onset in individuals.
TL;DR: Wang et al. as discussed by the authors showed that the surveillance of wastewater from aircraft for SARS-CoV-2 RNA can provide an additional and effective tool for informing the management of returning overseas travelers and for monitoring the importation of SARS CoV2 and other clinically significant pathogens.
TL;DR: In this paper, the authors investigated whether and how nanomaterials could directly facilitate the dissemination of AMR through horizontal gene transfer, and they found that commonly-used nanoparticles (NPs) (Ag, CuO and ZnO NPs) and their ion forms (Ag+, Cu2+and Zn2+) at realistic concentrations within aquatic environments can significantly promote the transformation of extracellular antibiotic resistance genes in Acinetobacter baylyi ADP1 by a factor of 11.0-folds, which is comparable to the effects of antibiotics.
TL;DR: In this article, defect-rich heterogeneous Zn-birnessite nanosheet composites are designed via an in situ chemical reduction route at a low temperature, and the formation mechanism that the generated oxygen vacancy (Vo) in the Zn birnessites triggers Mn cation migration, leading to birnessite-to-spinel phase transition is explored.
TL;DR: In this paper , a review of dendritic mesoporous nanoparticles is presented, with a focus on the biomedical field, providing new insights into the structure-property relationship in this family of nanomaterials.
Abstract: Recently, dendritic mesoporous silica nanoparticles with widespread applications have attracted great interest. Despite many publications (>800), the terminology “dendritic” is ambiguous. Understanding what possible “dendritic structures” are, their formation mechanisms and the underlying structure–property relationship is fundamentally important. With the advance of characterization techniques such as electron tomography, two types of tree-branch-like and flower-like structures can be distinguished, both described as “dendritic” in the literature. In this Review, we start with the definition of “dendritic”, then provide critical analysis of reported dendritic silica nanoparticles according to their structural classification. We update the understandings of the formation mechanisms of two types of “dendritic” nanoparticles, highlighting how to control their structural parameters. Applications of dendritic mesoporous nanoparticles are also reviewed with a focus on the biomedical field, providing new insights into the structure–property relationship in this family of nanomaterials.
TL;DR: The shallow ANN model presented here demonstrates significant potential for diagnosing BC using WBCD and WDBC without the need for feature optimization or selection algorithms.
TL;DR: In this article, the role of amylose content in the baking process and eating qualities of bread, made using an industry-standard rapid-dough method, was investigated. And the structural and physical properties of bread are highly correlated to starch amyloses content, starch thermal properties and crumb hardness, with AM playing the leading role.
TL;DR: In this paper, a composite hydrogel made from gellan gum and Salecan with ideal elasticity, injectability, good thermostability, self-recovery and other rheological properties is reported.