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Showing papers by "Griffith University published in 2022"


Journal ArticleDOI
Tracy Hussell1, Ramsey Sabit2, Rachel Upthegrove3, Daniel M. Forton4  +524 moreInstitutions (270)
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


Journal ArticleDOI
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


Journal ArticleDOI
TL;DR: In this article , the current status of PEM fuel cell and electrolysis cell technologies, along with the H 2 infrastructure, describes their similarities and differences in structures, materials, and fundamentals, and outlines challenges/opportunities.
Abstract: This review presents the current status of PEM fuel cell & electrolysis cell technologies, along with the H 2 infrastructure, describes their similarities & differences in structures, materials, and fundamentals, and outlines challenges/opportunities.

55 citations


Journal ArticleDOI
29 Apr 2022
TL;DR: In this article , the authors reveal that the gut microbiota reprogram the immunity of the tumor microenvironment (TME) by engaging innate and/or adaptive immune cells by means of metabolites, which are small molecules that could spread from their initial location of the gut and impact local and systemic antitumor immune response to promote ICI efficiency.
Abstract: Abstract The gut microbiota have long been recognized to play a key role in human health and disease. Currently, several lines of evidence from preclinical to clinical research have gradually established that the gut microbiota can modulate antitumor immunity and affect the efficacy of cancer immunotherapies, especially immune checkpoint inhibitors (ICIs). Deciphering the underlying mechanisms reveals that the gut microbiota reprogram the immunity of the tumor microenvironment (TME) by engaging innate and/or adaptive immune cells. Notably, one of the primary modes by which the gut microbiota modulate antitumor immunity is by means of metabolites, which are small molecules that could spread from their initial location of the gut and impact local and systemic antitumor immune response to promote ICI efficiency. Mechanistic exploration provides novel insights for developing rational microbiota-based therapeutic strategies by manipulating gut microbiota, such as fecal microbiota transplantation (FMT), probiotics, engineered microbiomes, and specific microbial metabolites, to augment the efficacy of ICI and advance the age utilization of microbiota precision medicine.

50 citations


Journal ArticleDOI
TL;DR: In this article, a conceptual framework was developed to examine knowledge hiding behavior and its antecedents and consequences in the context of the COVID-19 pandemic in Vietnamese workers.

42 citations


Journal ArticleDOI
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


Journal ArticleDOI
TL;DR: In this article , a meta-analysis of 627 paired data points extracted from 57 published articles was performed to assess the performance of the co-application of biochar and fertilizers on crop yield compared with the corresponding controls.

32 citations


Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the supply chain finance and block chain technology in the context of edge computing and proposed an optimized plan that can effectively control supply chain financing, which greatly reduces the risks of all parties in the finance.
Abstract: The implementation of the “Internet +” policy advocated by the state has also led to rapid development of Internet finance. In order to promote changes in business development models, as a pioneering work for banks serving the real economy, supply chains are being developed to address small and medium-sized enterprises. The financing of enterprises, the transformation and development needs of banks themselves, and the promotion of logistics technology. Edge computing refers to an open platform that integrates network, data processing, storage and application core functions, and can provide the closest end-of-page service near the object data source to meet real-time, application intelligence, security and privacy Sexual needs. The core of supply chain financing is to establish an optimized plan that can effectively control supply chain financing. By integrating the financing literature of the supply chain, the settlement cost in the supply chain can be solved. Based on theoretical research, this article analyzes supply chain financing and block chain technology. Combined with the current specific situation of block chain in supply chain financing, the management system, cash flow of the supply chain, and risk control system are analyzed. All parties to the supply chain financing optimize the supply chain financing risk control system while reducing business costs and improving corporate efficiency, which greatly reduces the risks of all parties in the supply chain financing. The block chain Iota environment based on shared data and advanced data processing has very powerful theoretical and practical significance for promoting the development of commercial banks and enterprises.

30 citations


Journal ArticleDOI
Minsoo Kwon1
01 Sep 2022
TL;DR: In this article , a novel strategy was exploited to achieve the delamination of Ti3C2 MXene multilayers into ultrathin flakes by blossom of ZnIn2S4 microflowers via a one-pot solvothermal method.
Abstract: Herein, a novel strategy was exploited to achieve the delamination of Ti3C2 MXene multilayers into ultrathin flakes by blossom of ZnIn2S4 microflowers via a one-pot solvothermal method. There is no need to peel off the MXene bulk ahead of its combination with the semiconductor. The obtained ZnIn2S4/Ti3C2 binary composites were applied for visible-light-driven photocatalytic hydrogen production without noble metal cocatalyst, and the optimized sample exhibited a hydrogen-production efficiency of 978.7 μmol h − 1 g − 1 with the corresponding apparent quantum efficiency of 24.2% at 420 nm, which was 2.7 times higher than bare ZnIn2S4. Through the comprehensive analysis based on spectroscopy measurements, electrochemical techniques and energy band theory, such enhancement was mainly attributed to (1) the highly-exposed surface that was beneficial for the adequate exposure of reactive sites and (2) the intimate contact interface that favored the transfer of photogenerated carriers. This study provides a new way of thinking for synthesizing ultrathin MXene-based composite materials for noble-metal-free and highly-efficient photocatalysis applications.

25 citations


Journal ArticleDOI
TL;DR: In this paper , the authors analyzed the supply chain finance and block chain technology in the context of edge computing and proposed an optimized plan that can effectively control supply chain financing, which greatly reduces the risks of all parties in the finance.
Abstract: The implementation of the “Internet +” policy advocated by the state has also led to rapid development of Internet finance. In order to promote changes in business development models, as a pioneering work for banks serving the real economy, supply chains are being developed to address small and medium-sized enterprises. The financing of enterprises, the transformation and development needs of banks themselves, and the promotion of logistics technology. Edge computing refers to an open platform that integrates network, data processing, storage and application core functions, and can provide the closest end-of-page service near the object data source to meet real-time, application intelligence, security and privacy Sexual needs. The core of supply chain financing is to establish an optimized plan that can effectively control supply chain financing. By integrating the financing literature of the supply chain, the settlement cost in the supply chain can be solved. Based on theoretical research, this article analyzes supply chain financing and block chain technology. Combined with the current specific situation of block chain in supply chain financing, the management system, cash flow of the supply chain, and risk control system are analyzed. All parties to the supply chain financing optimize the supply chain financing risk control system while reducing business costs and improving corporate efficiency, which greatly reduces the risks of all parties in the supply chain financing. The block chain Iota environment based on shared data and advanced data processing has very powerful theoretical and practical significance for promoting the development of commercial banks and enterprises.

24 citations


Journal ArticleDOI
TL;DR: A clustering-directed deep learning approach, Deep Neighbor-aware Embedded Node Clustering ( DNENC for short) for clustering graph data, which encodes the topological structure and node content in a graph into a compact representation via a neighbor-aware graph autoencoder, which progressively absorbs information from neighbors via a convolutional or attentional encoder.

Journal ArticleDOI
TL;DR: In this paper, F or Pt modified TiO2 were explored to reduce the formation of NOx during photocatalytic oxidation of low-concentration NH3, and its photocatalysis activity, selectivity and mechanism of NH3 conversion were systematically studied.
Abstract: Ammonia (NH3) as an important precursor to form atmospheric fine particles and secondary inorganic aerosols, should be strictly controlled. Photocatalysis has provided a facile and an effective way to eliminate NH3 pollution under mild conditions, whereas the undesirable products, such as NO, NO2 would be generated during the reaction and the mechanism remains unclear. In this study, F or Pt modified TiO2 were explored to reduce the formation of NOx during photocatalytic oxidation of low-concentration NH3, and its photocatalytic activity, selectivity and mechanism of NH3 conversion were systematically studied. Results indicate that surface fluorination on TiO2 contribute to the reduction of noxious NOx, especially for NO2, since the modified TiO2 achieved enhanced adsorption of NH3 and strong electron-trapping ability, which can retard the recombination of photo-generated electrons and holes. In addition, the deposition of Pt could further extend the lifetime of the electron-hole pairs by strongly capture the electron, and enhance the oxidation of NH3 into nitrates and nitrites species. From the in-situ DRIFT spectroscopy and XPS results, we can deduce that reactive amino radical (•NH2) would be formed on TiO2 under photoirradiation after the adsorption of NH3 on Lewis acid cites. The formed •NH2 can react with reactive oxygen species in the presence of H2O, and produce NOx and HNOx. By both enhancing the adsorption of NH3 and separation efficiency of electron-hole pairs, the presence of F and Pt modification on the TiO2 changes the photocatalytic pathway of NH3 conversion. The proposed selective oxidation mechanism may offer a novel insight into the photocatalytic oxidation of atmospheric NH3 on other metal oxide with surface modification and can be broadly employed in air pollution control in indoor environments.

Journal ArticleDOI
TL;DR: The Nancy Grace Roman Space Telescope will conduct a High Latitude Spectroscopic Survey (HLSS) over a large volume at high redshift, using the near-IR grism (1.0-1.1) and the 0.28 deg$^2$ wide field camera as mentioned in this paper .
Abstract: The Nancy Grace Roman Space Telescope will conduct a High Latitude Spectroscopic Survey (HLSS) over a large volume at high redshift, using the near-IR grism (1.0-1.93 $\mu$m, $R=435-865$) and the 0.28 deg$^2$ wide field camera. We present a reference HLSS which maps 2000 deg$^2$ and achieves an emission line flux limit of 10$^{-16}$ erg/s/cm$^2$ at 6.5$\sigma$, requiring $\sim$0.6 yrs of observing time. We summarize the flowdown of the Roman science objectives to the science and technical requirements of the HLSS. We construct a mock redshift survey over the full HLSS volume by applying a semi-analytic galaxy formation model to a cosmological N-body simulation, and use this mock survey to create pixel-level simulations of 4 deg$^2$ of HLSS grism spectroscopy. We find that the reference HLSS would measure $\sim$ 10 million H$\alpha$ galaxy redshifts that densely map large scale structure at $z=1-2$ and 2 million [OIII] galaxy redshifts that sparsely map structures at $z=2-3$. We forecast the performance of this survey for measurements of the cosmic expansion history with baryon acoustic oscillations and the growth of large scale structure with redshift space distortions. We also study possible deviations from the reference design, and find that a deep HLSS at $f_{\rm line}>7\times10^{-17}$erg/s/cm$^2$ over 4000 deg$^2$ (requiring $\sim$1.5 yrs of observing time) provides the most compelling stand-alone constraints on dark energy from Roman alone. This provides a useful reference for future optimizations. The reference survey, simulated data sets, and forecasts presented here will inform community decisions on the final scope and design of the Roman HLSS.

Journal ArticleDOI
TL;DR: The use of medicinal plants is common practice amongst the southern African population and may provide targets for drug development as mentioned in this paper, however, the use of non-steroidal anti-inflammatory drugs (NSAID's) is accompanied by harmful and toxic side effects.

Journal ArticleDOI
TL;DR: In this paper, the authors developed a fractional-order comprehensive learning MPA (FOCLMPA) to solve feature selection optimization problem in the Marine Predator Algorithm (MPA).
Abstract: The topological structure of the search agents in the swarm is a key factor in diversifying the knowledge between the population and balancing the designs of the exploration and intensification stages. Marine Predator Algorithm (MPA) is a recently introduced algorithm that mimics the interaction between the prey and predator in ocean. MPA has a vital issue in its structure. This drawback related to the number of iterations that is divided into the algorithm phases, hence the agents do not have the adequate number of tries to discover the search landscape and exploit the optimal solutions. This situation affects the search process. Therefore, in this paper, the principle of the comprehensive learning strategy and memory perspective of the fractional calculus have been incorporated into MPA. They help to achieve an efficient sharing for the best knowledge and the historical experiences between the agents with the aim of escaping from the local solutions and avoiding the immature convergence. The developed fractional-order comprehensive learning MPA (FOCLMPA) has been examined with several multidimensional benchmarks from the CEC2017 and CEC2020 as challenging tested functions in the numerical validation part. For real-world applications, four engineering problems have been employed and a set of eighteen UCI datasets have been used to demonstrate the developed performance for feature selection optimization problem. The FOCLMPA has been compared with several well-regarded optimization algorithms via numerous statistical and non-parametric analyses to provide unbiased recommendation. The comparisons confirm the superiority and stability of FOCLMPA in handling the series of experiments with high qualified results and remarkable convergence curves.

Journal ArticleDOI
TL;DR: In this paper, a facile sol-gel pore-sealing strategy for anchoring N coordinated Ru single atoms (SAs) onto the pore edges of the activated carbon spheres (Ru-SAs@N-ACSs) was proposed.

Journal ArticleDOI
TL;DR: Agarwal et al. as discussed by the authors reviewed the current status of suicides in India, focusing on epidemiology, risk factors, and existing suicide prevention strategies to identify key challenges and priorities for suicide prevention.

Journal ArticleDOI
TL;DR: In this paper , the same underlying processes could result in synergistic, additive or antagonistic interactions, with interaction type depending on initial conditions, experiment duration, stressor dynamics and consumer presence.
Abstract: Predicting the impacts of multiple stressors is important for informing ecosystem management but is impeded by a lack of a general framework for predicting whether stressors interact synergistically, additively or antagonistically. Here, we use process-based models to study how interactions generalise across three levels of biological organisation (physiological, population and consumer-resource) for a two-stressor experiment on a seagrass model system. We found that the same underlying processes could result in synergistic, additive or antagonistic interactions, with interaction type depending on initial conditions, experiment duration, stressor dynamics and consumer presence. Our results help explain why meta-analyses of multiple stressor experimental results have struggled to identify predictors of consistently non-additive interactions in the natural environment. Experiments run over extended temporal scales, with treatments across gradients of stressor magnitude, are needed to identify the processes that underpin how stressors interact and provide useful predictions to management.

Journal ArticleDOI
TL;DR: In this article , the authors discuss various climate mitigation actions that evidence demonstrates can negatively impact biodiversity, resulting in unseen and unintended negative consequences, and examine climate mitigation action that co-deliver biodiversity and societal benefits.
Abstract: A multitude of actions to protect, sustainably manage and restore natural and modified ecosystems can have co-benefits for both climate mitigation and biodiversity conservation. Reducing greenhouse emissions to limit warming to less than 1.5 or 2°C above preindustrial levels, as outlined in the Paris Agreement, can yield strong co-benefits for land, freshwater and marine biodiversity and reduce amplifying climate feedbacks from ecosystem changes. Not all climate mitigation strategies are equally effective at producing biodiversity co-benefits, some in fact are counterproductive. Moreover, social implications are often overlooked within the climate-biodiversity nexus. Protecting biodiverse and carbon-rich natural environments, ecological restoration of potentially biodiverse and carbon-rich habitats, the deliberate creation of novel habitats, taking into consideration a locally adapted and meaningful (i.e. full consequences considered) mix of these measures, can result in the most robust win-win solutions. These can be further enhanced by avoidance of narrow goals, taking long-term views and minimizing further losses of intact ecosystems. In this review paper, we first discuss various climate mitigation actions that evidence demonstrates can negatively impact biodiversity, resulting in unseen and unintended negative consequences. We then examine climate mitigation actions that co-deliver biodiversity and societal benefits. We give examples of these win-win solutions, categorized as 'protect, restore, manage and create', in different regions of the world that could be expanded, upscaled and used for further innovation.

Journal ArticleDOI
TL;DR: Industrial marine fish farming is a relatively young phenomenon but has grown to be a major industry in many regions of the world, producing some 6.6 million tons of fish per year.
Abstract: Surface-based cages are the dominant production technology for the marine finfish aquaculture industry. However, issues such as extreme weather events, poor environmental conditions, interactions with parasites, and conflicts with other coastal users are problematic for surface-based aquaculture. Submerged cages may reduce many of these problems and commercial interest in their use has increased. However, a broad synthesis of research into the effects of submerged culture on fish is lacking. Here, we review the current status of submerged fish farming worldwide, outline the biological challenges that fish with fundamentally different buoyancy control physiologies face in submerged culture, and discuss production benefits and problems that might arise from submerged fish farming. Our findings suggest that fish with closed swim bladders, and fish without swim bladders, may be well-suited to submerged culture. However, for fish with open swim bladders, such as salmonids, submergence is more complex as they require access to surface air to refill their swim bladders and maintain buoyancy. Growth and welfare of open swim bladder fish can be compromised by submergence for long periods due to complications with buoyancy regulation, but the recent addition of underwater air domes to submerged cages can alleviate this issue. Despite this advance, a greater understanding of how to couple advantageous environmental conditions with submerged culture to improve fish growth and welfare over the commercial production cycle is required if submerged cages are to become a viable alternative to surface-based cage aquaculture.

Journal ArticleDOI
TL;DR: In this article, the authors examined the relationship between air transport development, economic growth and inbound tourism in the CLMV countries and found that there is a bi-directional causality between air passenger traffic and economic growth in the long run.

Journal ArticleDOI
TL;DR: In this paper , the authors applied a systematic quantitative literature review (SQLR) methodology to analyze studies reporting microplastics (MPs) in sludge/biosolids and agricultural soils.

Journal ArticleDOI
Shirui Pan1
TL;DR: Deep Neighbor-aware Embedded Node Clustering (DNENC) as discussed by the authors proposes a clustering-directed deep learning approach, which encodes the topological structure and node content in a graph into a compact representation via a neighbor-aware graph autoencoder, which progressively absorbs information from neighbors via a convolutional or attentional encoder.

Journal ArticleDOI
TL;DR: In this paper, the effect of art infusion on brand attitudes under different brand conditions (i.e., pro-environmental luxury brands and luxury brands) in advertising was examined under two experimental studies, and the findings suggest that art infusion may be the solution to the dilemma facing sustainable luxury brands since luxury and sustainability are often perceived as incongruent concepts.

Journal ArticleDOI
TL;DR: In this article , a combined sol-gel/carbonization approach is developed to controllably anchor Mn-SAs onto graphitic carbon nanosheets via a hybridized N, O coordination configuration of Mn-(N-C2)2(O-C 2)2 (denoted as [email protected]).

Journal ArticleDOI
TL;DR: In this article , an extremely simple and cost-effective method of soaking Zn plate in tannin acid (TA) solution is applied to design ZnTA anticorrosive film on Zn anodes.

Journal ArticleDOI
TL;DR: A review of pro-oxidants and their clinical significance as cancer therapies providing revolutionary approaches is presented in this paper, where the authors exemplify pro-oxyidants (natural/synthetic/repurposed drugs).

Journal ArticleDOI
TL;DR: In this paper, a hexapod-like pyrite nanosheet clusters material was successfully synthesized via a facile hydrothermal method with the assistance of fluorides.

Journal ArticleDOI
TL;DR: In this article , a 2H-benzo[h]chromene-pyridine derivative was synthesized through condensation reaction, which exhibited a notable deep red emission at 640 nm in pure water.