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  1. AU="Stewart, Rodney A"
  2. AU="Bakthavatsalu, Maheshwar"
  3. AU="Fussner, Steven"
  4. AU="Dolsten, Mikael"
  5. AU="Sarnyai, Zoltán"
  6. AU=Dongaonkar Ranjeet M
  7. AU="Singh, Leher"
  8. AU="Sevilla Porras, Marta"
  9. AU="Fuller, Chris K"
  10. AU="Vandeloo, Judith"
  11. AU="Meyers, Amanda"
  12. AU="Jiménez-Bambague, Eliana M"
  13. AU="Turner, J C"
  14. AU="Moore, C J" AU="Moore, C J"
  15. AU="Leresche, Téa"
  16. AU=Astrom Siv AU=Astrom Siv
  17. AU="Di Meglio, Florent"
  18. AU=Simon H U
  19. AU=Croucher P I
  20. AU="Jasti, Madhu"

Suchergebnis

Treffer 1 - 10 von insgesamt 89

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  1. Artikel ; Online: Catching nano: Evaluating the fate and behaviour of nano-TiO

    Heilgeist, Simone / Sahin, Oz / Sekine, Ryo / Stewart, Rodney A

    Journal of environmental management

    2023  Band 345, Seite(n) 118786

    Abstract: Engineered titanium dioxide nanoparticles (nano- ... ...

    Abstract Engineered titanium dioxide nanoparticles (nano-TiO
    Mesh-Begriff(e) Humans ; Sunscreening Agents/chemistry ; Swimming Pools ; Ecosystem ; Titanium ; Nanoparticles
    Chemische Substanzen Sunscreening Agents ; titanium dioxide (15FIX9V2JP) ; Titanium (D1JT611TNE)
    Sprache Englisch
    Erscheinungsdatum 2023-08-15
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.118786
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  2. Artikel ; Online: Towards nutrient neutrality: A review of agricultural runoff mitigation strategies and the development of a decision-making framework.

    Luna Juncal, Martin J / Masino, Pietro / Bertone, Edoardo / Stewart, Rodney A

    The Science of the total environment

    2023  Band 874, Seite(n) 162408

    Abstract: Nutrient runoff from agriculture practices poses a significant risk to waterway health and can have long-lasting and complex implications for the environment, ecosystems, and the human population. Consequently, a systematic quantitative literature review ...

    Abstract Nutrient runoff from agriculture practices poses a significant risk to waterway health and can have long-lasting and complex implications for the environment, ecosystems, and the human population. Consequently, a systematic quantitative literature review (SQLR) was conducted to identify different nutrient runoff mitigation strategies (NRMS) that are currently used globally to prevent or remediate environmental damage from excessive agricultural fertilisation. Empirical data on the outcomes from various NRMS from the reviewed studies were used to evaluate the strategies based on environmental benefit, implementation cost, and practicality perspectives. An overall assessment of the feasibility of NRMS was determined, and a macro-level assessment of the reported barriers preventing the widespread implementation of NRMS was provided. Identified research gaps and issues included a dearth of literature covering nutrient runoff mitigation, scepticism from agricultural landowners to voluntarily adopt policy without substantial incentives, and a general lack of cost/benefit analyses, including an understanding of the uncertainty associated with NRMS that can inform decision-makers about effective and efficient strategies for different site situations. Synthesis of SQLR data facilitated the development of a comprehensive nutrient runoff decision-making framework which addresses present limitations and provides site-specific NRMS recommendations for policymakers to implement.
    Mesh-Begriff(e) Humans ; Ecosystem ; Agriculture ; Policy ; Nutrients
    Sprache Englisch
    Erscheinungsdatum 2023-02-23
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article ; Review
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.162408
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    Zs.A 949: Hefte anzeigen Standort:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Artikel ; Online: Pediatric Cancer Models in Zebrafish.

    Casey, Mattie J / Stewart, Rodney A

    Trends in cancer

    2020  Band 6, Heft 5, Seite(n) 407–418

    Abstract: Pediatric cancer is a leading cause of death in children and adolescents. Improvements in pediatric cancer treatment that include the alleviation of long-term adverse effects require a deeper understanding of the genetic, epigenetic, and developmental ... ...

    Abstract Pediatric cancer is a leading cause of death in children and adolescents. Improvements in pediatric cancer treatment that include the alleviation of long-term adverse effects require a deeper understanding of the genetic, epigenetic, and developmental factors driving these cancers. Here, we review how the unique attributes of the zebrafish model system in embryology, imaging, and scalability have been used to identify new mechanisms of tumor initiation, progression, and relapse and for drug discovery. We focus on zebrafish models of leukemias, neural tumors and sarcomas - the most common and difficult childhood cancers to treat.
    Mesh-Begriff(e) Animals ; Animals, Genetically Modified ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Carcinogenesis/genetics ; Carcinogenesis/pathology ; Child ; Disease Models, Animal ; Embryo, Nonmammalian ; High-Throughput Screening Assays/methods ; Humans ; Intravital Microscopy ; Mice ; Neoplasms/diagnosis ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/pathology ; Oncogenes/genetics ; Time Factors ; Xenograft Model Antitumor Assays ; Zebrafish
    Chemische Substanzen Antineoplastic Agents
    Sprache Englisch
    Erscheinungsdatum 2020-03-13
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2852626-0
    ISSN 2405-8025 ; 2405-8033 ; 2405-8033
    ISSN (online) 2405-8025 ; 2405-8033
    ISSN 2405-8033
    DOI 10.1016/j.trecan.2020.02.006
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  4. Artikel: A Simple and Scalable Zebrafish Model of Sonic Hedgehog Medulloblastoma.

    Casey, Mattie J / Chan, Priya P / Li, Qing / Jette, Cicely A / Kohler, Missia / Myers, Benjamin R / Stewart, Rodney A

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Medulloblastoma (MB) is the most common malignant brain tumor in children and is stratified into three major subgroups. The Sonic hedgehog (SHH) subgroup represents ~30% of all MB cases and has significant survival disparity depending upon TP53 status. ... ...

    Abstract Medulloblastoma (MB) is the most common malignant brain tumor in children and is stratified into three major subgroups. The Sonic hedgehog (SHH) subgroup represents ~30% of all MB cases and has significant survival disparity depending upon TP53 status. Here, we describe the first zebrafish model of SHH MB using CRISPR to mutate
    Sprache Englisch
    Erscheinungsdatum 2024-02-05
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2024.02.03.577834
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  5. Artikel ; Online: Effects of wind-driven current and thermal dynamics in a temperate monomictic reservoir: Implications for manganese transport and treatment in water supply systems.

    Zhang, Fuxin / Zhang, Hong / Wang, Xinchen / Stewart, Rodney A / Bertone, Edoardo / Cinque, Kathy / Jin, Guangqiu / Yuan, Saiyu

    Journal of environmental management

    2024  Band 358, Seite(n) 120932

    Abstract: Increasing manganese (Mn) concentrations in source water contribute to aesthetic and health-related concerns in drinking water. The challenges with Mn in drinking water primarily arise from elevated Mn concentrations in the water supply reservoir, with ... ...

    Abstract Increasing manganese (Mn) concentrations in source water contribute to aesthetic and health-related concerns in drinking water. The challenges with Mn in drinking water primarily arise from elevated Mn concentrations in the water supply reservoir, with the inefficacy of Mn treatment largely attributed to fluctuating Mn levels in the water source. A three-dimensional Mn cycle model in a temperate monomictic reservoir, Tarago Reservoir, and a decision support system reflecting Mn variations in the local water treatment plant have been established in previous research. This study aimed to examine Mn variations from the reservoir to raw water and treated water under the influence of wind conditions during different stages of thermal structure, and discover valuable recommendations for Mn treatment in the local water supply system. We crafted 12 scenarios to scrutinize the impact of varying intensities of offshore and onshore winds on hydrodynamic processes and Mn transport during strong thermal stratification, weak thermal stratification, and turnover. The scenario analysis revealed that, during the gradual weakening of thermal stratification, offshore wind induced a substantial amount of Mn to the upper layers near the water intake point. Conversely, onshore wind hindered the upward transport of Mn. The simulated Mn in the raw water under the 12 scenarios indicated that the timing of turnover in the Tarago Reservoir is the primary concern for Mn treatment in the water treatment plant. Additionally, close attention should be given to the frequency and intensity of offshore winds during the weakening of thermal stratification.
    Mesh-Begriff(e) Manganese ; Wind ; Water Supply ; Water Purification/methods ; Water Pollutants, Chemical/analysis ; Drinking Water/chemistry
    Chemische Substanzen Manganese (42Z2K6ZL8P) ; Water Pollutants, Chemical ; Drinking Water
    Sprache Englisch
    Erscheinungsdatum 2024-04-22
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.120932
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  6. Artikel ; Online: Integrated Environmental Assessment and Management.

    Hyman, Jayden / Stewart, Rodney A / Sahin, Oz

    Integrated environmental assessment and management

    2021  Band 18, Heft 3, Seite(n) 674–681

    Abstract: Increasing demand for metals used in clean energy technologies, including electric vehicles, has led to an increased demand in certain metals such as Ni, Co, and Mn. This demand has in turn led to an expanding interest in deep-seabed mining (DSM) of ... ...

    Abstract Increasing demand for metals used in clean energy technologies, including electric vehicles, has led to an increased demand in certain metals such as Ni, Co, and Mn. This demand has in turn led to an expanding interest in deep-seabed mining (DSM) of polymetallic nodule deposits that contain these exact metals. The main concerns about DSM relate to the incomplete information available about the environmental risks associated with seabed mineral extraction. Key uncertainties need to be systematically addressed to refine environmental impact predictions and establish effective mitigation measures. Adaptive management is an iterative process for reducing the uncertainty that can be applied by both mining companies and regulatory bodies. This Special Series paper reviews the key opportunities and challenges to operationalizing adaptive management in DSM projects and highlights the need for a framework to move from theory to practice. The discussion proposes a systems approach to adaptive management, which could help to guide the environmental management of deep-sea mineral extraction. Integr Environ Assess Manag 2022;18:674-681. © 2021 SETAC.
    Mesh-Begriff(e) Environment ; Environmental Monitoring ; Metals ; Minerals ; Mining ; Risk Assessment ; Uncertainty
    Chemische Substanzen Metals ; Minerals
    Sprache Englisch
    Erscheinungsdatum 2021-03-09
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2234931-5
    ISSN 1551-3793 ; 1551-3777
    ISSN (online) 1551-3793
    ISSN 1551-3777
    DOI 10.1002/ieam.4395
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  7. Artikel: Mapping the Complex Journey of Swimming Pool Contaminants: A Multi-Method Systems Approach

    Heilgeist, Simone / Sahin, Oz / Sekine, Ryo / Stewart, Rodney A.

    Water. 2022 June 28, v. 14, no. 13

    2022  

    Abstract: Swimming pool owners worldwide face the challenging task of keeping their pool water balanced and free from contaminants. However, swimming pool water (SPW) quality management is complex with the countless processes and interactions of interlinked system ...

    Abstract Swimming pool owners worldwide face the challenging task of keeping their pool water balanced and free from contaminants. However, swimming pool water (SPW) quality management is complex with the countless processes and interactions of interlinked system variables. For example, contamination with sunscreen residues is inevitable as users apply sunscreen to protect their skin from damaging ultraviolet (UV) radiation. Nanoparticulate titanium dioxide (nano-TiO₂) is one such residues that have received criticism due to potential human health and environmental risks. Despite ongoing research studies, management strategies of nano-TiO₂ in swimming pools are still limited. Therefore, this paper focuses on developing a multi-method approach for identifying and understanding interdependencies between TiO₂ particles and an aquatic environment such as a swimming pool. Given the complexity of the system to be assessed, the authors utilise a systems approach by integrating cross-matrix multiplication (MICMAC) and Systems Thinking techniques. The developed conceptual model visually depicts the complex system, which provides users with a basic understanding of swimming pool chemistry, displaying the numerous cause-and-effect relationships and enabling users to identify leverage points that can effectively change the dynamics of the system. Such systems-level understanding, and actions will help to manage nano-TiO₂ levels in an efficient manner. The novelty of this paper is the proposed methodology, which uses a systems approach to conceptualise the complex interactions of contaminants in swimming pools and important pathways to elevated contaminant levels.
    Schlagwörter aquatic environment ; chemistry ; human health ; models ; sunscreens ; titanium dioxide ; water
    Sprache Englisch
    Erscheinungsverlauf 2022-0628
    Erscheinungsort Multidisciplinary Digital Publishing Institute
    Dokumenttyp Artikel
    ZDB-ID 2521238-2
    ISSN 2073-4441
    ISSN 2073-4441
    DOI 10.3390/w14132062
    Datenquelle NAL Katalog (AGRICOLA)

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  8. Artikel: Examining wind energy deployment pathways in complex macro-economic and political settings using a fuzzy cognitive map-based method

    Ghaboulian Zare, Sara / Alipour, Mohammad / Hafezi, Mehdi / Stewart, Rodney A. / Rahman, Anisur

    Energy. 2022 Jan. 01, v. 238

    2022  

    Abstract: Long-term sustainable wind energy deployment faces an array of challenges due to various complex interconnected impediment factors. These inherent endogenous and exogenous uncertainties preclude obtaining an accurate future trend, which in turn ... ...

    Abstract Long-term sustainable wind energy deployment faces an array of challenges due to various complex interconnected impediment factors. These inherent endogenous and exogenous uncertainties preclude obtaining an accurate future trend, which in turn complicates the design of the good policy. This study employs Fuzzy Cognitive Maps (FCMs) to semi-quantitatively explore the scenarios of wind energy deployment in Iran. The FCM-based framework was built using participatory workshops and a subsequent questionnaire survey to identify 26 influential factors shaping the dynamics of the system. The developed scenarios originated from the latest narratives of real-world geopolitical variations. The findings demonstrated that the sector is governed by six major groupings of factors predominated by economic and political concepts with strong interconnections between them. Five key concepts, including two economic, one legal, and two political, were ascertained that contribute to the stability of the system. Of the four scenarios, only one optimistic trajectory expects an acceleration in the deployment. Another scenario projects that there will not be any considerable change between the future scheme and the current state of development. However, the other scenarios envisage a substantially slower growth than the current trend.
    Schlagwörter cognition ; energy ; issues and policy ; politics ; questionnaires ; surveys ; wind power ; Iran
    Sprache Englisch
    Erscheinungsverlauf 2022-0101
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2021.121673
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  9. Artikel: Automation of species-specific cyanobacteria phycocyanin fluorescence compensation using machine learning classification

    Rousso, Benny Zuse / Bertone, Edoardo / Stewart, Rodney A. / Hobson, Peter / Hamilton, David P.

    Ecological informatics. 2022 July, v. 69

    2022  

    Abstract: High-frequency cyanobacteria monitoring often uses in-situ fluorescence of phycocyanin (f-PC). However, f-PC must be calibrated for the dominant cyanobacteria species, and it cannot distinguish cyanobacteria taxa, which relies on conventional time- ... ...

    Abstract High-frequency cyanobacteria monitoring often uses in-situ fluorescence of phycocyanin (f-PC). However, f-PC must be calibrated for the dominant cyanobacteria species, and it cannot distinguish cyanobacteria taxa, which relies on conventional time-consuming cyanobacteria identification methods. This study proposes a framework to automate f-PC species-specific compensation through three components: (1) prediction of the dominant cyanobacteria species using data-driven models and routine environmental monitoring data; (2) determination of species-specific f-PC per biomass in controlled laboratory experiments; and (3) automation of f-PC species compensation. The framework was validated by applying it to Myponga drinking water reservoir in South Australia. Three machine learning techniques using only high-frequency water temperature data were compared to predict the dominant cyanobacteria species. The framework application to Myponga drinking water reservoir improved the agreement of f-PC with conventional cyanobacteria biovolume measurements, and provided rapid, low-cost identification of the dominant cyanobacteria species, which can support proactive species-targeted cyanobacteria management.
    Schlagwörter automation ; biomass ; fluorescence ; phycocyanin ; prediction ; water reservoirs ; water temperature ; South Australia
    Sprache Englisch
    Erscheinungsverlauf 2022-07
    Erscheinungsort Elsevier B.V.
    Dokumenttyp Artikel
    ZDB-ID 2212016-6
    ISSN 1878-0512 ; 1574-9541
    ISSN (online) 1878-0512
    ISSN 1574-9541
    DOI 10.1016/j.ecoinf.2022.101669
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  10. Artikel: Developing a Framework for Assessing the readiness of Entities in the construction Industry in Addressing Modern Slavery

    Liu, Tingting / Suprun, Emiliya / Stewart, Rodney A. / Duran, Shane

    Sustainable Production and Consumption. 2022 Feb. 08,

    2022  

    Abstract: Australia's Modern Slavery Act 2018 (Cth) requires entities with at least AU$100 million annual consolidated revenues to submit annual modern slavery statement. The construction industry is considered as one sector most vulnerable to modern slavery. This ...

    Abstract Australia's Modern Slavery Act 2018 (Cth) requires entities with at least AU$100 million annual consolidated revenues to submit annual modern slavery statement. The construction industry is considered as one sector most vulnerable to modern slavery. This research aims to identify the policies, systems and processes that will affect an organisation's approach to modern slavery risk and propose a framework for assessing the readiness of entities in the construction industry to address modern slavery in their operations and supply chains. Semi-structured interviews were used as the main research method to glean industry experts’ insights and perspectives on key themes and topics. The research finds that a successful modern slavery approach includes governance, risk assessment and ongoing due diligence, risk mitigation, grievance and remediation, performance monitoring and reporting, and education and capability building. This paper details the first academic research examining the implications of modern slavery legislation on construction businesses in Australia. The research contributes to existing body of knowledge by highlighting issues and concerns specific to modern slavery in an organisation's operation and supply chains. Focusing on the construction industry, this research opens up a dialogue on taking sector-specific approach in modern slavery risk detection and remediation. The research results offer practical reference for entities in the construction industry to plan, formulate and implement policies, systems, and processes to identify and mitigate modern slavery risk, so as to satisfy legislative requirements and to achieve social sustainability goals.
    Schlagwörter construction industry ; education ; governance ; laws and regulations ; remediation ; risk ; risk assessment ; risk reduction ; social sustainability ; Australia
    Sprache Englisch
    Erscheinungsverlauf 2022-0208
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel
    Anmerkung Pre-press version
    ISSN 2352-5509
    DOI 10.1016/j.spc.2022.02.003
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