Charles Darwin University

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Charles Darwin University
Short name
CDU
Country, city
Australia, Darwin (Australia)
Publications
8 271
Citations
222 189
h-index
168
Top-3 journals
PLoS ONE
PLoS ONE (158 publications)
Medical Journal of Australia
Medical Journal of Australia (123 publications)
Malaria Journal
Malaria Journal (84 publications)
Top-3 organizations
Menzies School of Health Research
Menzies School of Health Research (2609 publications)
University of Queensland
University of Queensland (903 publications)
University of Melbourne
University of Melbourne (818 publications)
Top-3 foreign organizations
University of Oxford
University of Oxford (294 publications)
Mahidol University
Mahidol University (194 publications)

Most cited in 5 years

Norström A.V., Cvitanovic C., Löf M.F., West S., Wyborn C., Balvanera P., Bednarek A.T., Bennett E.M., Biggs R., de Bremond A., Campbell B.M., Canadell J.G., Carpenter S.R., Folke C., Fulton E.A., et. al.
Nature Sustainability scimago Q1 wos Q1
2020-01-20 citations by CoLab: 921 Abstract  
Research practice, funding agencies and global science organizations suggest that research aimed at addressing sustainability challenges is most effective when ‘co-produced’ by academics and non-academics. Co-production promises to address the complex nature of contemporary sustainability challenges better than more traditional scientific approaches. But definitions of knowledge co-production are diverse and often contradictory. We propose a set of four general principles that underlie high-quality knowledge co-production for sustainability research. Using these principles, we offer practical guidance on how to engage in meaningful co-productive practices, and how to evaluate their quality and success. Research addressing sustainability issues is more effective if ‘co-produced’ by academics and non-academics, but definitions of co-production vary. This Perspective presents four knowledge co-production principles for sustainability research and guides on how to engage in co-productive practices.
Pastorello G., Trotta C., Canfora E., Chu H., Christianson D., Cheah Y., Poindexter C., Chen J., Elbashandy A., Humphrey M., Isaac P., Polidori D., Reichstein M., Ribeca A., van Ingen C., et. al.
Scientific data scimago Q1 wos Q1 Open Access
2020-07-09 citations by CoLab: 914 PDF Abstract  
The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible. Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12295910
Thevarajan I., Nguyen T.H., Koutsakos M., Druce J., Caly L., van de Sandt C.E., Jia X., Nicholson S., Catton M., Cowie B., Tong S.Y., Lewin S.R., Kedzierska K.
Nature Medicine scimago Q1 wos Q1
2020-03-16 citations by CoLab: 830
Abram N.J., Henley B.J., Sen Gupta A., Lippmann T.J., Clarke H., Dowdy A.J., Sharples J.J., Nolan R.H., Zhang T., Wooster M.J., Wurtzel J.B., Meissner K.J., Pitman A.J., Ukkola A.M., Murphy B.P., et. al.
2021-01-07 citations by CoLab: 500 PDF Abstract  
The 2019/20 Black Summer bushfire disaster in southeast Australia was unprecedented: the extensive area of forest burnt, the radiative power of the fires, and the extraordinary number of fires that developed into extreme pyroconvective events were all unmatched in the historical record. Australia’s hottest and driest year on record, 2019, was characterised by exceptionally dry fuel loads that primed the landscape to burn when exposed to dangerous fire weather and ignition. The combination of climate variability and long-term climate trends generated the climate extremes experienced in 2019, and the compounding effects of two or more modes of climate variability in their fire-promoting phases (as occurred in 2019) has historically increased the chances of large forest fires occurring in southeast Australia. Palaeoclimate evidence also demonstrates that fire-promoting phases of tropical Pacific and Indian ocean variability are now unusually frequent compared with natural variability in pre-industrial times. Indicators of forest fire danger in southeast Australia have already emerged outside of the range of historical experience, suggesting that projections made more than a decade ago that increases in climate-driven fire risk would be detectable by 2020, have indeed eventuated. The multiple climate change contributors to fire risk in southeast Australia, as well as the observed non-linear escalation of fire extent and intensity, raise the likelihood that fire events may continue to rapidly intensify in the future. Improving local and national adaptation measures while also pursuing ambitious global climate change mitigation efforts would provide the best strategy for limiting further increases in fire risk in southeast Australia. Multiple climate contributors to fire risk in southeast Australia have led to an increase in fire extent and intensity over the past decades that will likely continue into the future, suggests a synthesis of climate variability, long-term trends and palaeoclimatic evidence.
Bodkhe U., Tanwar S., Parekh K., Khanpara P., Tyagi S., Kumar N., Alazab M.
IEEE Access scimago Q1 wos Q2 Open Access
2020-04-17 citations by CoLab: 495 Abstract  
Due to the proliferation of ICT during the last few decades, there is an exponential increase in the usage of various smart applications such as smart farming, smart healthcare, supply-chain & logistics, business, tourism and hospitality, energy management etc. However, for all the aforementioned applications, security and privacy are major concerns keeping in view of the usage of the open channel, i.e., Internet for data transfer. Although many security solutions and standards have been proposed over the years to enhance the security levels of aforementioned smart applications, but the existing solutions are either based upon the centralized architecture (having single point of failure) or having high computation and communication costs. Moreover, most of the existing security solutions have focussed only on few aspects and fail to address scalability, robustness, data storage, network latency, auditability, immutability, and traceability. To handle the aforementioned issues, blockchain technology can be one of the solutions. Motivated from these facts, in this paper, we present a systematic review of various blockchain-based solutions and their applicability in various Industry 4.0-based applications. Our contributions in this paper are in four fold. Firstly, we explored the current state-of-the-art solutions in the blockchain technology for the smart applications. Then, we illustrated the reference architecture used for the blockchain applicability in various Industry 4.0 applications. Then, merits and demerits of the traditional security solutions are also discussed in comparison to their countermeasures. Finally, we provided a comparison of existing blockchain-based security solutions using various parameters to provide deep insights to the readers about its applicability in various applications.
Pacoureau N., Rigby C.L., Kyne P.M., Sherley R.B., Winker H., Carlson J.K., Fordham S.V., Barreto R., Fernando D., Francis M.P., Jabado R.W., Herman K.B., Liu K., Marshall A.D., Pollom R.A., et. al.
Nature scimago Q1 wos Q1
2021-01-27 citations by CoLab: 486 Abstract  
Overfishing is the primary cause of marine defaunation, yet declines in and increasing extinction risks of individual species are difficult to measure, particularly for the largest predators found in the high seas1–3. Here we calculate two well-established indicators to track progress towards Aichi Biodiversity Targets and Sustainable Development Goals4,5: the Living Planet Index (a measure of changes in abundance aggregated from 57 abundance time-series datasets for 18 oceanic shark and ray species) and the Red List Index (a measure of change in extinction risk calculated for all 31 oceanic species of sharks and rays). We find that, since 1970, the global abundance of oceanic sharks and rays has declined by 71% owing to an 18-fold increase in relative fishing pressure. This depletion has increased the global extinction risk to the point at which three-quarters of the species comprising this functionally important assemblage are threatened with extinction. Strict prohibitions and precautionary science-based catch limits are urgently needed to avert population collapse6,7, avoid the disruption of ecological functions and promote species recovery8,9. The global abundance of oceanic sharks and rays has decreased by 71% since 1970 and 24 species are threatened with extinction owing to a concomitant increase in fishing pressure.
Djalante R., Lassa J., Setiamarga D., Sudjatma A., Indrawan M., Haryanto B., Mahfud C., Sinapoy M.S., Djalante S., Rafliana I., Gunawan L.A., Surtiari G.A., Warsilah H.
Progress in Disaster Science scimago Q1 wos Q2 Open Access
2020-04-04 citations by CoLab: 368 Abstract  
The world is under pressure from the novel COVID-19 pandemic. Indonesia is the fourth most populous country in the world and predicted to be affected significantly over a longer time period. Our paper aims to provide detailed reporting and analyses of the present rapid responses to COVID-19, between January and March 2020, in Indonesia. We particularly highlight responses taken by the governments, non-government organisations and the community. We outline gaps and limitations in the responses, based on our rapid analysis of media contents, from government speeches and reports, social and mass media platforms. We present five recommendations toward more rapid, effective, and comprehensive responses.
Reddy Maddikunta P.K., Hakak S., Alazab M., Bhattacharya S., Gadekallu T.R., Khan W.Z., Pham Q.
IEEE Sensors Journal scimago Q1 wos Q2
2021-08-15 citations by CoLab: 356 Abstract  
In the next few years, smart farming will reach each and every nook of the world. The prospects of using unmanned aerial vehicles (UAV) for smart farming are immense. However, the cost and the ease in controlling UAVs for smart farming might play an important role for motivating farmers to use UAVs in farming. Mostly, UAVs are controlled by remote controllers using radio waves. There are several technologies such as Wi-Fi or ZigBee that are also used for controlling UAVs. However, Smart Bluetooth (also referred to as Bluetooth Low Energy) is a wireless technology used to transfer data over short distances. Smart Bluetooth is cheaper than other technologies and has the advantage of being available on every smart phone. Farmers can use any smart phone to operate their respective UAVs along with Bluetooth Smart enabled agricultural sensors in the future. However, certain requirements and challenges need to be addressed before UAVs can be operated for smart agriculture-related applications. Hence, in this article, an attempt has been made to explore the types of sensors suitable for smart farming, potential requirements and challenges for operating UAVs in smart agriculture. We have also identified the future applications of using UAVs in smart farming.
Vasan D., Alazab M., Wassan S., Naeem H., Safaei B., Zheng Q.
Computer Networks scimago Q1 wos Q1
2020-04-01 citations by CoLab: 328 Abstract  
The volume, type, and sophistication of malware is increasing. Deep convolutional neural networks (CNNs) have lately proven their effectiveness in malware binary detection through image classification. In this paper, we propose a novel classifier to detect variants of malware families and improve malware detection using CNN-based deep learning architecture, called IMCFN (Image-based Malware Classification using Fine-tuned Convolutional Neural Network Architecture). Differing from existing solutions, we propose a new method for multiclass classification problems. Our proposed method converts the raw malware binaries into color images that are used by the fine-tuned CNN architecture to detect and identify malware families. Our method previously trained with the ImageNet dataset (≥10 million) and utilized the data augmentation to handle the imbalance dataset during the fine-tuning process. For evaluations, an extensive experiment was conducted using 2 datasets: Malimg malware dataset (9,435 samples), and IoT- android mobile dataset (14,733 malware and 2,486 benign samples). Empirical evidence has shown that the IMCFN stands out among the deep learning models including other CNN models with an accuracy of 98.82% in Malimg malware dataset and more than 97.35% for IoT-android mobile dataset. Furthermore, it demonstrates that colored malware dataset performed better in terms of accuracy than grayscale malware images. We compared the performance of IMCFN with the three architectures VGG16, ResNet50 and Google's InceptionV3. We found that our method can effectively detect hidden code, obfuscated malware and malware family variants with little run-time. Our method is resilient to straight forward obfuscation technique commonly used by hackers to disguise malware such as encryption and packing.
Bhattacharya S., Reddy Maddikunta P.K., Pham Q., Gadekallu T.R., Krishnan S S.R., Chowdhary C.L., Alazab M., Jalil Piran M.
Sustainable Cities and Society scimago Q1 wos Q1
2021-02-01 citations by CoLab: 327 Abstract  
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many death cases and affected all sectors of human life. With gradual progression of time, COVID-19 was declared by the world health organization (WHO) as an outbreak, which has imposed a heavy burden on almost all countries, especially ones with weaker health systems and ones with slow responses. In the field of healthcare, deep learning has been implemented in many applications, e.g., diabetic retinopathy detection, lung nodule classification, fetal localization, and thyroid diagnosis. Numerous sources of medical images (e.g., X-ray, CT, and MRI) make deep learning a great technique to combat the COVID-19 outbreak. Motivated by this fact, a large number of research works have been proposed and developed for the initial months of 2020. In this paper, we first focus on summarizing the state-of-the-art research works related to deep learning applications for COVID-19 medical image processing. Then, we provide an overview of deep learning and its applications to healthcare found in the last decade. Next, three use cases in China, Korea, and Canada are also presented to show deep learning applications for COVID-19 medical image processing. Finally, we discuss several challenges and issues related to deep learning implementations for COVID-19 medical image processing, which are expected to drive further studies in controlling the outbreak and controlling the crisis, which results in smart healthy cities.
Safón V., Docampo D., Cram L.
Quantitative Science Studies scimago Q1 wos Q1 Open Access
2025-03-12 citations by CoLab: 0 Abstract  
Abstract We introduce reputable citations (RC), a method to screen and segment a collection of papers by decoupling popularity and influence. We demonstrate RC using recent works published in a large set of mathematics journals from Clarivate’s Incites Essential Science Indicators, leveraging Clarivate’s Web of Science for citation reports and assigning prestige values to institutions based on well-known international rankings. We compare researchers drawn from two samples: highly cited researchers (HC) and mathematicians whose influence is acknowledged by peers (Control). RC scores distinguish the influence of researchers beyond citations, revealing highly cited mathematical work of modest influence. The control group, comprising peer-acknowledged researchers, dominates the top tier of RC scores despite having fewer total citations than the HC group. Influence, as recognized by peers, does not always correlate with high citation counts, and RC scores offer a nuanced distinction between the two. With development, RC scores could automate screening of citations to identify exceptional and influential research, while addressing manipulative practices. The first application of RC reveals mathematics works that may be cited for reasons unrelated to genuine research advancements, suggesting a need for continued development of this method to mitigate such trends. Peer Review https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00355
Rachmansah A., Christian K., Murphy B.P., Schlesinger C., Andersen A.N.
Ecology and Evolution scimago Q1 wos Q2 Open Access
2025-03-10 citations by CoLab: 0 PDF Abstract  
ABSTRACTDisturbance is fundamental to the state and dynamics of biological communities, and understanding biotic responses to disturbance is critical to effective biodiversity conservation. However, a predictive understanding of how faunal communities respond to habitat disturbance remains elusive. Recently, a conceptual framework centred on habitat openness was developed for understanding ant responses to disturbance. It proposes that habitat openness is a fundamental driver of variation among ant communities, and that the primary impacts of disturbance are mediated through ant functional responses to changes in openness. Like ants, terrestrial reptiles are ectotherms and are therefore especially sensitive to disturbance‐induced increases in habitat openness because of changes in the thermal environment. Therefore, reptiles might also be expected to conform to a disturbance framework based on habitat openness. Here we assess the extent to which this occurs by combining a quantitative analysis of recent publications with a broader synthesis of the literature. We found strong support for the framework applying to terrestrial reptiles. We suggest that the framework can be strengthened by a mechanistic understanding of functional traits in relation to habitat openness. For ectotherms, ecophysiological traits could be particularly important for responding to disturbance‐mediated changes in microclimate, but habitat openness also influences other important factors such as food availability and predation. Finally, the framework appears to be highly applicable to a wider range of faunal groups beyond ants and reptiles.
Bramwell J., Kovaleva N., Morigi J.J., Currie B.J.
2025-03-06 citations by CoLab: 0 PDF Abstract  
Melioidosis is an endemic tropical disease caused by Burkholderia pseudomallei. It typically causes pulmonary disease and bacteraemia but can disseminate to cause multi-organ disease. 18-F FDG PET/CT has an evolving role in diagnosing other infectious diseases, especially where the pathogen or extent of infection is challenging to elucidate clinically and with conventional imaging (CT, US and MRI). We present a case series of patients diagnosed with melioidosis who also underwent 18-F FDG PET/CT from December 18th 2018 to September 30th 2022. Indications for imaging were categorised and analysed as to whether 18-F FDG PET/CT changed management over conventional imaging. Twenty-one 18-F FDG PET/CT scans were performed for sixteen patients. Two scans (9.5%) performed for pyrexia of unknown origin changed management in both cases. Twelve scans (57.1%) performed to ascertain the extent of dissemination of melioidosis changed management in only three (25%) cases. Five scans (23.8%) performed to monitor the response to treatment of known foci changed management in all five cases. Five scans (23.8%) performed for suspected or known malignancy changed management in three (60%) cases. 18-F FDG PET/CT is an emerging tool which improves diagnosis and changes the management of melioidosis when applied judiciously and for well-selected indications.
Reilly R., McKetin R., Barzi F., Degan T., Ezard N., Conigrave K., Butt J., Roe Y., Wand H., Quinn B., Longbottom W., Treloar C., Dunlop A., Ward J.
2025-02-28 citations by CoLab: 0 Abstract  
Background Digital interventions can help to overcome barriers to care, including stigma, geographical distance, and a lack of culturally appropriate treatment options. “We Can Do This” is a web-based app that was designed with input from cultural advisors and end users to support Aboriginal and Torres Strait Islander people seeking to stop or reduce their use of methamphetamine and increase psychosocial well-being. Objective This study aimed to evaluate the effectiveness of the “We Can Do This” web-based app as a psychosocial treatment for Aboriginal and Torres Strait Islander people who use methamphetamine. Methods The web app was evaluated using a randomized waitlist controlled parallel group trial. Participants were Aboriginal and Torres Strait Islander people aged 16 years or older who self-identified as having used methamphetamine at least weekly for the past 3 months. Participants were randomized on a 1:1 ratio to receive either access to the web-based app for 6 weeks or a waitlist control group. Both groups received access to a website with harm minimization information. The primary outcome was days of methamphetamine use in the past 4 weeks assessed at 1, 2, and 3 months post randomization. Secondary outcomes included severity of methamphetamine dependence (Severity of Dependence Scale [SDS]), psychological distress (Kessler 10 [K10]), help-seeking behavior, and days spent out of role due to methamphetamine use. Results Participants (N=210) were randomized to receive either access to the web-based app (n=115) or the waitlist control condition (n=95). Follow-up was 63% at 1 month, 57% at 2 months, and 54% at 3 months. There were no significant group differences in days of methamphetamine use in the past 4 weeks at 1 the month (mean difference 0.2 days, 95% CI –1.5 to –2), 2 months (mean difference 0.6 days, 95% CI –1 to 2.4 days) or 3 months (mean difference 1.4 days, 95% CI –0.3 to 3.3 days) follow-up. There were no significant group differences in K10 scores, SDS scores, days out of role, or help-seeking at any of the 3 follow-up timepoints. There was poor adherence to the web-based app, only 20% of participants in the intervention group returned to the web-based app after their initial log-in. Participants cited personal issues and forgetting about the web-based app as the most common reasons for nonadherence. Conclusions We found poor engagement with this web-based app. The web-based app had no significant effects on methamphetamine use or psychosocial well-being. Poor adherence and low follow-up hindered our ability to accurately evaluate the effectiveness of the web-based app. Future web-based apps for this population need to consider methods to increase participant engagement. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12619000134123p; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376088 International Registered Report Identifier (IRRID) RR2-10.2196/14084
Twyman L., Walsberger S., Baker A.L., Ahmadi S., Oldmeadow C., Weber M., Lawn S., Hefler M., Bowman J., Boss P., Ko K., Scott A., Fienberg B., Watts C., Brooks A., et. al.
Addiction scimago Q1 wos Q1
2025-02-23 citations by CoLab: 0 Abstract  
AbstractAimTo test the effectiveness of an organisational change intervention aimed at increasing the offer of nicotine replacement therapy (NRT) in community managed mental health organisations.DesignA pragmatic cluster randomised controlled trial with cluster as the unit of randomisation and six‐ and nine‐month follow‐up from baseline.SettingTwelve clusters comprising 26 sites providing community based, psychosocial support to people with severe mental illness in New South Wales, Australia, were randomised to control (n = 13 sites, n = 118 consumers) or intervention (n = 13 sites, n = 139 consumers) arms between 2018 and 2019.ParticipantsEligible consumers (aged 16 years and older; self‐reported daily or occasional cigarette use) completed surveys at baseline (n = 257) and at six‐ (n = 162, 63%) and nine‐month follow‐up (n = 144, 56%).InterventionThe intervention included a financial grant, face‐to‐face and on‐line training and proactive monthly support to guide implementation. The active control condition included on‐line training and generic, scheduled support via email.MeasurementsThe primary outcome was whether consumers reported receiving an offer of NRT at nine‐month follow‐up. Secondary outcomes at the consumer, staff and organisational level were also measured.FindingsConsumers in the intervention group had statistically significantly higher odds of being offered NRT at nine‐month follow‐up compared with control (intention to treat missing = no offer: 38% versus 7%, odds ratio 5.72, 95% confidence interval = 2.2, 14.9). There were no statistically significant differences in seven‐day point prevalence or continuous abstinence at six‐ or nine‐month follow‐ups.ConclusionsAn organisational change‐based program led to an increase in the offer of nicotine replacement therapy (NRT) nine months after program initiation in community managed mental health organisations, compared with active control. There was evidence of greater NRT use in the intervention condition at nine months but no evidence of differences on abstinence measures at six or nine months.
Parmar J.S., Thapa P., Micheal S., Dune T., Lim D., Alford S., Mistry S.K., Arora A.
Education Sciences scimago Q2 wos Q1 Open Access
2025-02-21 citations by CoLab: 0 PDF Abstract  
Peer support is a widely adopted strategy in higher education, facilitating student engagement in socially safe groups to enhance knowledge and social skills. While its benefits are recognized during in-person education, evidence supporting these benefits in an online format of study, especially among postgraduate health students, remains scarce. This study explored the impact of a peersupport program on the social and emotional well-being of postgraduate health students who were studying online during the COVID-19 pandemic. Peer support groups were implemented for a mixed group of local and international students enrolled in a postgraduate health subject delivered online in 2021 at Western Sydney University, Australia. Data were collected using four focus group discussions conducted via Zoom, transcribed verbatim, translated (as required), and analyzed through inductive thematic analysis. Three major themes were identified: (i) emotional well-being and social support; (ii) social interactions and forming friendships; and (iii) facilitators and barriers to engagement. This study highlights the positive impact of the peer support program in enhancing social and emotional well-being among post-graduate health students, with most being international students. Despite the challenges posed by online learning during COVID-19, students experienced significant social, emotional, and cultural benefits from participating in the peer support program.
Rochelmeyer E., Evans T., Eggleton P., Murphy B.P., Levick S.R., Stobo‐Wilson A.M., Richards A.E.
Journal of Applied Ecology scimago Q1 wos Q1
2025-02-21 citations by CoLab: 0 Abstract  
Abstract Tropical savannas typically experience high fire frequencies, with prescribed fire commonly used as a management tool. Termites play an important role in the ecological functioning of tropical savannas, yet we have a limited understanding of how fire affects these important ecosystem engineers. To account for the effects of fire management on ecosystem structure and function, we need to understand the links between fire management and termite communities. This study used a long‐term (18‐year) fire experiment in a tropical savanna near Darwin, northern Australia, to investigate the effects of different fire regimes on termite species composition, abundance and activity. We measured termite abundance and activity using a combination of baiting and reduced transect survey methods and compared these with fire activity (summarised fire frequency and intensity) and woody cover. Termite species richness was similar across all fire treatments, and the level of fire activity had a minimal effect on species composition, which was more strongly influenced by woody cover. Wood‐feeding termite abundance and the consumption of wood baits were negatively correlated with fire activity and positively correlated with woody cover. Soil/wood interface‐feeding termites showed no correlation with fire activity but a positive correlation with woody cover. Significant negative mediation effects of fire activity through woody cover were detected on the abundance of wood‐ and soil/wood interface feeders and wood and straw bait consumption. Grass‐feeding termites were encountered too infrequently to draw conclusions about their correlation with fire activity and woody cover; however, straw bait consumption was positively correlated with fire activity. Synthesis and applications. The effects of fire on termite abundance and activity are primarily indirect, mediated through changes in vegetation structure. As high fire activity is associated with reduced woody cover, maintaining regimes of frequent, high‐intensity fires over the long term has the potential to affect ecosystem function. While minimising the occurrence of high‐intensity, late dry season fires is consistent with fire management goals in these savannas, care is still required to avoid the negative consequences of high fire frequencies.
Berhane T., Bayfield A., Howarth T., James K., Muthumala A., Mo L., Willson K., Heraganahally S.S.
Internal Medicine Journal scimago Q2 wos Q2
2025-02-21 citations by CoLab: 0 Abstract  
ABSTRACTThis cross‐sectional study assessed the clinical and economic costs (Inpatient Activity Database) associated with hospitalisations due to bronchiectasis exacerbations among adult indigenous patients in the Top End, Northern Territory. Twenty case episodes from 15 indigenous patients with a mean age of 51.8 ± 12.7 years were recorded in a 3‐month study window. The estimated cost was AUD 400 579.9, with cost per patient AUD 26 705 over 3 months and average cost per admission AUD 20 029. Extrapolating cost data across a 10‐year period gave a conservative estimate of AUD 28 million.
Sun X., Wu Y., Wang H., He S., Young D.J., Thennadil S., Raston C.L., Abukhadra M.R., El-Sherbeeny A.M., Deng S., Jellicoe M.
2025-02-19 citations by CoLab: 0 PDF Abstract  
IntroductionProcessing with a continuous flow thin film vortex fluidic device (VFD) significantly improves the efficiency of enzymatic hydrolysis of barramundi skin gelatin compared with conventional methodology.MethodsDegree of hydrolysis, scanning electron microscopy, rheological properties, texture profile analysis, and dynamic light scattering were applied in this study.Results and discussionThe processing time was reduced from 120 min to 20 min, and the degree of hydrolysis increased from 55.0 to 74.5%. VFD-treated gelatin hydrolysates were combined with starch in different proportions for use as 3D printing inks. The ink composed of 60% starch and 40% fish gelatin hydrolyate gave an ink with a regular crosslinked internal structure, relatively high storage modulus (G’), adhesiveness (399 g.sec) and loss modulus (G”) suitable for 3D printing. This new, one-step processing methodology has the potential to add value to an abundant waste product of the seafood industry.
Woinarski J.C., Garnett S.T., Legge S.M.
2025-02-18 citations by CoLab: 3 Abstract  
Most conservation programs and laws aim to prevent extinction. However, there is a gulf between such aspirations and the current reality of escalating biodiversity loss. This review focuses on efforts to prevent extinctions in Australia, but much of this consideration is likely to apply globally. As context, we consider the reasons for trying to prevent extinction, review Australia's extinction record, and note that there are likely to be many more extinctions than formally recognized. We describe recent cases where conservation actions have prevented extinction. We note that extinction is a pathway rather than solely an endpoint, and many decisions made or not made on that pathway can determine the fate of species. We conclude that all looming extinctions can and should be prevented. This will require transformational change in legislation, increased resourcing, more consideration of poorly known species, and increased societal recognition of the need to be responsible for the care of country.
Simpson A., Smith J., Yates M., Barden H., Gorton C., Templeton M.
2025-02-17 citations by CoLab: 0
Chen S., Xu C., Mazhar M.S., Naiker M.
Chemosensors scimago Q2 wos Q1 Open Access
2025-02-15 citations by CoLab: 0 PDF Abstract  
Dragon fruit (Hylocereus spp.), a globally popular tropical fruit, is highly regarded for its unique sensory attributes and potential health benefits. However, the volatile organic compound (VOC) profiles that define its aroma and flavor are underexplored. This exploratory study investigates the VOC profiles of Australian-grown and imported dragon fruit, focusing on free volatiles and glycosidically bound volatiles released through acid and enzymatic hydrolysis. The analysis aims to uncover the competitive advantages of Australian-grown dragon fruit, providing a scientific foundation for establishing industry standards in Australia, where such standards are currently absent. Using gas chromatography–mass spectrometry (GC-MS) and statistical analysis such as principal component analysis (PCA), this study revealed significant differences in VOC profiles influenced by variety and growing region. Northern Territory-grown white-fleshed dragon fruit (NTW) displayed the most diverse and unique volatile profile, with key unique contributors such as acetoin, phenylethyl alcohol, and prenol, highlighting its potential as a premium product. Despite regional similarities, Queensland-grown white- (QLDW) and red-fleshed (QLDR) dragon fruit exhibited distinct profiles, with compounds such as farnesol and linoleic acid ethyl ester serving as distinguishing markers. Overseas white- (OverseasW) and red-fleshed (OverseasR) samples had less complex profiles, likely related to earlier harvesting and postharvest treatments, emphasizing the impact of such practices on volatile complexity. Glycosidically bound volatiles were identified as latent precursors that enhance aroma during ripening and processing. This research underscores the importance of VOC profiling in potentially assisting with establishing industry standards for Australian dragon fruit, enabling the differentiation of domestic varieties from imports and enhancing market competitiveness. As this is a novel and exploratory study, future research should prioritize the identification of unknown compounds and refine methodologies to better understand the dynamic changes in VOCs during storage and ripening. These findings provide valuable insights for optimizing postharvest practices and developing standards that support the Australian dragon fruit industry’s growth and global positioning.
Jones B., Mitchell A., Haynes E., Howard N.J., Wade V., Pears C., Rossingh B., Gatti J., Ramadani S., Corpus E., Yan J., Marangou J., Kaethner A., Bailey M., Francis J.R., et. al.
BMC Health Services Research scimago Q1 wos Q2 Open Access
2025-02-14 citations by CoLab: 0 PDF Abstract  
Abstract Background Rheumatic heart disease (RHD) is highly prevalent and under-detected in remote First Nations Australian communities. Rural communities face severe health workforce shortages that impact negatively on health outcomes. Task-sharing using local healthcare workers, trained to screen for active RHD cases (using handheld ultrasound with remote support from experts), has been proposed as a means of improving early detection whilst also strengthening referral pathways. Implementing new models of care within remote communities, however, requires local knowledge, cultural and operational adaptation, whilst ensuring consistency and quality assurance across multiple sites. This study aimed to co-design local implementation strategies for an RHD active case finding program with five remote communities and explain how and why the task-sharing program might lead to improved health outcomes. Methods A qualitative study using a Theory of Change approach and ‘yarning’ methods, was conducted with five remote First Nations Australian communities. We used a combination of participant observation, extensive field notes over sequential visits to each site, supplemented with document analysis to inform co-design of Theories of Change for each community. Data were curated using NVivo software and analysed using Powell’s refined compilation of implementation strategies framework. Results Through the co-design process, a total of 24 locally tailored implementation strategies were identified. All sites identified the need for a positive implementation environment, including recognition of local healthcare workers through positive messaging and celebratory events for achieving key training milestones. Other key themes included the importance of opportunistic RHD screening, and the integration of local languages during both training and screening. Five locally adapted versions of the Theory of Change were co-designed to include planned outcomes, assumptions, causal mechanisms, and indicators for the program at each community. Conclusions Our study identified implementation strategies and Theories of Change for the training and screening aspects of a new model of care for RHD screening in five remote First Nation Australian communities. These findings will be used to support future program evaluation and exploration the mechanisms by which the RHD screening program achieves its outcomes.
Rexroade A.T., Wallin M.B., Duvert C.
2025-02-13 citations by CoLab: 0 Abstract  
AbstractGreenhouse gas emission estimates from streams rely, in part, on accurate measurements or estimates of the gas transfer velocity, which describes the physical efficiency for gas exchange across the water‐air interface. Numerous methods for measuring or modeling gas transfer velocity exist, yet few studies compare these different methods. Additionally, current models of gas transfer velocity in streams are predominantly derived from measurements in low‐gradient, temperate, or boreal streams. Here, we measured gas transfer velocity using four different methods in a high‐energy, tropical headwater stream under a range of flow conditions, and compared these measurements to indirect estimates from four empirical models. Our results show that, when compared to the use of a biologically inert gas tracer (propane), floating chambers produced lower gas transfer velocity values. Using carbon dioxide (CO2) as a tracer gas was unreliable without considering other natural sources and sinks of CO2 and yielded gas transfer velocities lower than when using propane. Existing empirical models tended to underestimate gas transfer velocity, compared to the inert tracer gas. When using empirical models to upscale the emission flux along an entire stream reach, choice of model was more influential than the spatial resolution of model implementation. We also highlight the extreme spatial variability of gas transfer velocity across small spatial scales, which contrasts with its relative stability across changing hydrological conditions. The discrepancies between methods highlight the need for further research in measuring and upscaling gas transfer velocity, particularly in very turbulent steep streams.

Since 1993

Total publications
8271
Total citations
222189
Citations per publication
26.86
Average publications per year
258.47
Average authors per publication
7.2
h-index
168
Metrics description

Top-30

Fields of science

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Ecology, Evolution, Behavior and Systematics, 1104, 13.35%
General Medicine, 803, 9.71%
Ecology, 763, 9.23%
Public Health, Environmental and Occupational Health, 706, 8.54%
Infectious Diseases, 672, 8.12%
Nature and Landscape Conservation, 429, 5.19%
Management, Monitoring, Policy and Law, 360, 4.35%
Aquatic Science, 301, 3.64%
Geography, Planning and Development, 301, 3.64%
Multidisciplinary, 273, 3.3%
Microbiology (medical), 231, 2.79%
Animal Science and Zoology, 229, 2.77%
Education, 226, 2.73%
Parasitology, 216, 2.61%
Pediatrics, Perinatology and Child Health, 212, 2.56%
Electrical and Electronic Engineering, 198, 2.39%
Health Policy, 187, 2.26%
Sociology and Political Science, 182, 2.2%
Global and Planetary Change, 164, 1.98%
General Environmental Science, 163, 1.97%
Pharmacology (medical), 157, 1.9%
Health (social science), 152, 1.84%
Obstetrics and Gynecology, 146, 1.77%
Atomic and Molecular Physics, and Optics, 145, 1.75%
Pulmonary and Respiratory Medicine, 143, 1.73%
Computer Science Applications, 142, 1.72%
Renewable Energy, Sustainability and the Environment, 139, 1.68%
Plant Science, 137, 1.66%
Water Science and Technology, 132, 1.6%
Medicine (miscellaneous), 126, 1.52%
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With other countries

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United Kingdom, 1078, 13.03%
USA, 1011, 12.22%
China, 624, 7.54%
New Zealand, 360, 4.35%
Canada, 317, 3.83%
India, 311, 3.76%
Indonesia, 311, 3.76%
Malaysia, 265, 3.2%
Thailand, 252, 3.05%
Germany, 224, 2.71%
France, 192, 2.32%
Brazil, 188, 2.27%
Singapore, 179, 2.16%
South Africa, 171, 2.07%
Netherlands, 152, 1.84%
Japan, 148, 1.79%
Bangladesh, 136, 1.64%
Sweden, 136, 1.64%
Switzerland, 127, 1.54%
Pakistan, 118, 1.43%
Spain, 113, 1.37%
Italy, 111, 1.34%
Vietnam, 97, 1.17%
Denmark, 92, 1.11%
Saudi Arabia, 89, 1.08%
Iran, 80, 0.97%
Finland, 78, 0.94%
Belgium, 72, 0.87%
Ethiopia, 71, 0.86%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1993 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.