Showing papers by "University of Sydney published in 2022"
TL;DR: In this article, ZnO NPs were synthesized from Synadium grantii leaf extricate with varying Cu-dopant concentrations, and the photocatalytic studies of the prepared samples were studied using Methylene blue (MB), Indigo Carmine (IC), and Rhodamine B (RhB) organic pollutants.
175 citations
Swansea University1, Symbiosis International University2, Indian Institute of Technology Delhi3, King Abdulaziz University4, International Management Institute, New Delhi5, University of Wollongong6, University of Bergamo7, United Nations Environment Programme8, University of Sydney9, University of Liechtenstein10, Copenhagen Business School11, City University of Hong Kong12, Indian Institute of Management Bangalore13, Liverpool John Moores University14, University of Cambridge15, California State University, Monterey Bay16, Old Dominion University17, Cork College of Commerce18, University of Turku19, Indian Institute of Management Ahmedabad20, Arizona State University21, BI Norwegian Business School22, Royal Holloway, University of London23, Laval University24, Qatar University25, Skema Business School26, University of Virginia27, Nelson Mandela Metropolitan University28, Sewanee: The University of the South29, IBM30, National University of Singapore31, National Institute of Industrial Engineering32, Indian Institute of Technology Kharagpur33, Business School Lausanne34
TL;DR: In this paper, a comprehensive opinion-based insight to a multitude of diverse viewpoints that look at the many challenges through a technology lens is provided, with the focus on the role of digital and IS technology in climate change solutions.
120 citations
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 paper, the authors reviewed 244 articles published between January 2003 and July 2021 and then summarised the progress in broad-scale (spatial extent > 10,000 km2) DSM, focusing on the 12 mandatory soil properties for GlobalSoilMap.
91 citations
TL;DR: The JHU CSSE COVID-19 Dashboard as discussed by the authors has served the global audience for more than 30 consecutive months, totalling over 226 billion feature layer requests and 3·6 billion page views.
Abstract: On Jan 22, 2020, a day after the USA reported its first COVID-19 case, the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) launched the first global real-time coronavirus surveillance system: the JHU CSSE COVID-19 Dashboard. As of June 1, 2022, the dashboard has served the global audience for more than 30 consecutive months, totalling over 226 billion feature layer requests and 3·6 billion page views. The highest daily record was set on March 29, 2020, with more than 4·6 billion requests and over 69 million views. This Personal View reveals the fundamental technical details of the entire data system underlying the dashboard, including data collection, data fusion logic, data curation and sharing, anomaly detection, data corrections, and the human resources required to support such an effort. The Personal View also covers the challenges, ranging from data visualisation to reporting standardisation. The details presented here help develop a framework for future, large-scale public health-related data collection and reporting.
73 citations
TL;DR: In this paper, a neighborhood linear discriminant analysis (nLDA) is proposed, in which the scatter matrices are defined on a neighborhood consisting of reverse nearest neighbors and the neighborhood can be naturally regarded as the smallest subclass.
64 citations
TL;DR: In this paper, a simple hydrothermal approach was demonstrated for synthesizing a coupled NiFe2O4-ZnWO4 nanocomposite, wherein one-dimensional ZnW O4 nanorods were inserted into two-dimensional NiFe 2O4 Noplates.
60 citations
TL;DR: In this paper, a comprehensive review of the implementation and adaptation of some popular and recently established machine learning methods for processing different types of remote sensing data and investigates their applications for detecting various ore deposit types.
55 citations
TL;DR: In this paper, a review of cocatalysts-integrated TiO2 for photo-induced hydrogen (H2) evolution is presented, where four types of cutting-edge development of metal (noble metal, non-noble metals, bimetallic), metal sulfides and metal phosphides, 2D-MXenes, and dual materials-based cocatalyses are highlighted and discussed.
46 citations
TL;DR: The 10th edition of the International Diabetes Federation Atlas estimated incident cases in 2021 for 215 countries/territories ("countries") using previously described methods as discussed by the authors , where data were extrapolated from similar nearby countries.
44 citations
TL;DR: In this article, the properties of Co3O4 electrocatalysts for oxygen evolution reaction (OER) have been investigated, revealing insights into the close interplay between activity and stability.
TL;DR: An algorithm based on the adversarial network and the joint adaptation network for energy disaggregation to decrease the distribution gaps of both the feature space and the label space between the source and target domains is proposed.
Abstract: Nonintrusive load monitoring (NILM) is a technique to disaggregate an appliance's load consumption from the aggregate load in a house. Monitoring the energy behavior has become increasingly important for home energy management. For many machine learning-based models, model training needs enough, and diverse appliance-level labeled data from different houses, which is very time-consuming, expensive, and unacceptable for users. In this article, we propose an algorithm based on the adversarial network and the joint adaptation network for energy disaggregation to decrease the distribution gaps of both the feature space and the label space between the source and target domains. With only very limited labeled data in the source domain and enough unlabeled data in the target domain, our proposed algorithm can obtain satisfactory accuracy results for NILM. Extensive experiments for intradomain and interdomain demonstrate that the proposed algorithm can significantly improve the domain adaptation. Comparing with the baseline method that without any domain adaptation, the improvement on mean absolute error with the proposed algorithm can reach 67.72%, 67.53%, and 66.56% for the washing machine (W.M), the dishwasher (D.W), and the microwave (M.V), respectively.
TL;DR: In this paper , the authors examined the whole genome, transcriptome, methylome, and immune cell infiltrates in baseline tumors from 77 patients with advanced cutaneous melanoma treated with anti-PD-1 with or without anti-CTLA-4.
TL;DR: It is shown that the tracking error converges to an ultimate domain within the finite-time sense under the proposed self-triggered STA by using the strict Lyapunov function approach.
Abstract: This article is concerned with the design of a super-twisting algorithm (STA) based sliding mode controller for permanent magnet synchronous motor (PMSM) speed regulation system under the self-triggered mechanism. By using the strict Lyapunov function approach, it is shown that the tracking error converges to an ultimate domain within the finite-time sense under the proposed self-triggered STA. A feasible self-triggered strategy is designed for both cases with and without external perturbation. Moreover, a nonlinear optimization problem is formulated in terms of the tradeoff between the ultimate domain and the communication burden. The optimized STA gains are obtained by solving the above-formulated optimization problem via a particle swarm optimization algorithm. Finally, the applicability of the proposed self-triggered STA for PMSM is verified by simulation and experiment results.
TL;DR: In this article , the axial chlorine (Cl) atom can modulate the electronic structure of Fe atoms in catalytically active FeN4 sites, which facilitates the desorption of CO* and inhibits the adaption of H*, resulting in improved activity and selectivity in CO2RR.
TL;DR: In this article, the axial chlorine (Cl) atom can modulate the electronic structure of Fe atoms in catalytically active FeN4 sites, which facilitates the desorption of CO* and inhibits the adaption of H*, resulting in improved activity and selectivity in CO2RR.
01 May 2022
TL;DR: In this article , a lead-free dielectric capacitors with high recoverable energy storage density (Wrec), large energy storage efficiency (η), and wide usage temperature range are in high demand for pulse power systems.
Abstract: Development of lead-free dielectric capacitors with high recoverable energy storage density (Wrec), large energy storage efficiency (η), and wide usage temperature range are in high demanded for pulse power systems. Herein, we realized the enhancement of energy storage properties [high Wrec = 3.76 J/cm3, large η = 78.80 %, and broad operating temperature range (20−180 °C)] in lead-free Na0.5Bi0.5TiO3 (BNT)-based relaxor ferroelectrics via component regulation. Excellent energy storage properties mainly originate from suppressing early polarization saturation and improving dielectric breakdown strength (Eb). Domain evolution on the nanoscale offers robust support to suppression of early polarization saturation. The enhancement of Eb can be derived from the contribution of the Mg-rich phase, which is also corroborative via first-principles calculation on basis of density functional theory (DFT). We believe that these findings in this work may provide a practicable guideline to build new lead-free ceramics for electrical energy storage applications.
TL;DR: Li et al. as discussed by the authors reviewed existing works using traditional methods or based on deep learning networks and gave a comparison between deep learning and traditional algorithm based pedestrian attribute recognition methods, and showed the connections between PAR and other computer vision tasks.
TL;DR: In this article, a total of 254 results comprising 30 shear tests and 224 finite element analysis results are reported for cold-formed steel (CFS) channel channel, and the results of these tests are compared with the results reported in this paper.
Abstract: In this paper, a total of 254 results comprising 30 shear tests and 224 finite element (FE) analysis results are reported. Simply supported test specimens of cold-formed steel (CFS) channel...
TL;DR: This article found that the proportion of genetically intact HIV-1 proviruses was higher and persisted over time in effector memory CD4+ T cells when compared with naive, central, and transitional memory cells.
Abstract: Despite long-term antiretroviral therapy (ART), HIV-1 persists within a reservoir of CD4+ T cells that contribute to viral rebound if treatment is interrupted. Identifying the cellular populations that contribute to the HIV-1 reservoir and understanding the mechanisms of viral persistence are necessary to achieve an effective cure. In this regard, through Full-Length Individual Proviral Sequencing, we observed that the HIV-1 proviral landscape was different and changed with time on ART across naive and memory CD4+ T cell subsets isolated from 24 participants. We found that the proportion of genetically intact HIV-1 proviruses was higher and persisted over time in effector memory CD4+ T cells when compared with naive, central, and transitional memory CD4+ T cells. Interestingly, we found that escape mutations remained stable over time within effector memory T cells during therapy. Finally, we provided evidence that Nef plays a role in the persistence of genetically intact HIV-1. These findings posit effector memory T cells as a key component of the HIV-1 reservoir and suggest Nef as an attractive therapeutic target.
TL;DR: In this article , a three-dimensional ordered macroporous Au-CsPbBr3 (3DOM Au-CPB) composite was proposed as a high-efficient visible-light-driven CO2 reduction photocatalyst.
TL;DR: In this article, a three-dimensional ordered macroporous Au-CsPbBr3 (3DOM Au-CPB) composite was proposed as a high-efficient visible-light-driven CO2 reduction photocatalyst.
TL;DR: In this paper, the authors reviewed 2569 papers on building energy saving published between 1974 and 2020 through bibliometrics, network mapping analysis and in-depth content analysis to fill this research gap.
TL;DR: In this paper, the second nearest neighboring solute-solute interactions for the species Sc, Zr and Er are energetically favored to rationalize the observed precipitate structure and underlying formation mechanism.
TL;DR: In this article, the authors reviewed the current knowledge and outline the gaps related to the relationship between CVD and COVID-19 with a focus on the renin-angiotensin-aldosterone system (RAAS).
TL;DR: In this article , the authors formalised the relationship between working from home and commuting by day of the week and time of day for two large metropolitan areas in Australia, Brisbane and Sydney, using a mixed logit choice model, identifying the influences on such choices together with a mapping model between the probability of working from homes and socioeconomic and other contextual influences that are commonly used in strategic transport models to predict demand for various modes by location.
Abstract: The need to recognise and account for the influence of working from home on commuting activity has never been so real as a result of the COVID-19 pandemic. Not only does this change the performance of the transport network, it also means that the way in which transport modellers and planners use models estimated on a typical weekday of travel and expand it up to the week and the year must be questioned and appropriately revised to adjust for the quantum of working from home. Although teleworking is not a new phenomenon, what is new is the ferocity by which it has been imposed on individuals throughout the world, and the expectation that working from home is no longer a temporary phenomenon but one that is likely to continue to some non-marginal extent given its acceptance and revealed preferences from both many employees and employ where working from home makes good sense. This paper formalises the relationship between working from home and commuting by day of the week and time of day for two large metropolitan areas in Australia, Brisbane and Sydney, using a mixed logit choice model, identifying the influences on such choices together with a mapping model between the probability of working from home and socioeconomic and other contextual influences that are commonly used in strategic transport models to predict demand for various modes by location. The findings, based on Wave 3 (approximately 6 months from the initial outbreak of the pandemic) of an ongoing data collection exercise, provide the first formal evidence for Australia in enabling transport planners to adjust their predicted modal shares and overall modal travel activity for the presence of working from home.
TL;DR: In this article, the authors investigated the effect of both hydrogen and ammonia on soot formation in laminar coflow flames of both ethylene and methane, and found that ammonia is able to chemically inhibit soot when mixed with either ethylene or methane, with increasing effects on larger precursors.
TL;DR: In this paper, the authors formalised the relationship between working from home and commuting by day of the week and time of day for two large metropolitan areas in Australia, Brisbane and Sydney, using a mixed logit choice model, identifying the influences on such choices together with a mapping model between the probability of working from homes and socioeconomic and other contextual influences that are commonly used in strategic transport models to predict demand for various modes by location.
Abstract: The need to recognise and account for the influence of working from home on commuting activity has never been so real as a result of the COVID-19 pandemic. Not only does this change the performance of the transport network, it also means that the way in which transport modellers and planners use models estimated on a typical weekday of travel and expand it up to the week and the year must be questioned and appropriately revised to adjust for the quantum of working from home. Although teleworking is not a new phenomenon, what is new is the ferocity by which it has been imposed on individuals throughout the world, and the expectation that working from home is no longer a temporary phenomenon but one that is likely to continue to some non-marginal extent given its acceptance and revealed preferences from both many employees and employ where working from home makes good sense. This paper formalises the relationship between working from home and commuting by day of the week and time of day for two large metropolitan areas in Australia, Brisbane and Sydney, using a mixed logit choice model, identifying the influences on such choices together with a mapping model between the probability of working from home and socioeconomic and other contextual influences that are commonly used in strategic transport models to predict demand for various modes by location. The findings, based on Wave 3 (approximately 6 months from the initial outbreak of the pandemic) of an ongoing data collection exercise, provide the first formal evidence for Australia in enabling transport planners to adjust their predicted modal shares and overall modal travel activity for the presence of working from home.
TL;DR: In this paper , a nanohybrid of ultrathin Ti3C2-MXene nanosheets and silver nanoparticles (Ag@Ti3C 2 -MXene) has been reported as a dual-energy acceptor for ultrahigh fluorescence quenching of protein-functionalized graphene quantum dots (anti-NSE/amino-GQDs).