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    <title>OPUS Community:</title>
    <link>http://hdl.handle.net/10453/37691</link>
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        <rdf:li rdf:resource="http://hdl.handle.net/10453/196165" />
        <rdf:li rdf:resource="http://hdl.handle.net/10453/196160" />
        <rdf:li rdf:resource="http://hdl.handle.net/10453/196140" />
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    <dc:date>2026-09-24T01:19:29Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10453/196165">
    <title>Achieving the Paris Climate Agreement: Setting Meaningful Goals for the Finance Industry</title>
    <link>http://hdl.handle.net/10453/196165</link>
    <description>Title: Achieving the Paris Climate Agreement: Setting Meaningful Goals for the Finance Industry
Authors: Teske, S
Abstract: A brief introduction to the status of the international climate negotiations of the United Nations Framework Convention on Climate Change (UNFCCC) and its latest scientific publications is given, together with the status of global greenhouse gas emissions. An overview of the historical energy-related CO[[inf]]2[[/inf]] emissions since 1750 and how they relate to economic development, measured in gross domestic product (GDP), is provided, together with the cumulative energy-related CO[[inf]]2[[/inf]] emissions by region. The future energy demand is projected should historical trends in energy efficiency and carbon intensity continue until 2050. The One Earth Climate Model (OECM), its methodology, model architecture, and scientific background are described. An overview of the aligned decarbonization pathways for the industry, service, building, and transport sectors required to achieve the 1.5 °C target is provided. The assumptions made about future market developments that are used for the scenario calculations are documented, and the assumed development of the energy intensities for product manufacture is presented. An overview of the calculated energy consumption and the resulting CO[[inf]]2[[/inf]] intensities is given, with the assumed generation mix. The role of power and gas utilities under the OECM 1.5 °C scenario is discussed, together with the projected trajectories for renewable power- and heat-generating plants and those for hydrogen and synthetic fuel. Future structures of the global primary and secondary energy industries are suggested. The article closes with an overview of a possible allocation of the remaining carbon budget for G20 member countries, as a science-based suggestion for the UNFCCC Global Stocktake process.</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10453/196160">
    <title>Altered Abundance of Barrier-Related Proteins in Brain Microvascular Endothelial Cells of the GL261 Mouse Model of Glioblastoma.</title>
    <link>http://hdl.handle.net/10453/196160</link>
    <description>Title: Altered Abundance of Barrier-Related Proteins in Brain Microvascular Endothelial Cells of the GL261 Mouse Model of Glioblastoma.
Authors: Koehn, LM; Cao, D; Steele, JR; Rigopoulos, A; Burvenich, IJ; Chung-Lee, H; Tanuwidjaya, E; Schittenhelm, RB; Scott, AM; Gan, HK; Nicolazzo, JA
Abstract: Glioblastoma multiform (GBM) is a brain cancer that has limited treatment options and a high fatality rate, due in part to limited access of chemotherapeutics to the tumor resulting from the restrictive nature of the blood-brain barrier (BBB). The present study characterized the proteome of endothelial cells forming the BBB in a mouse model of GBM, as a way to identify putative transporters that could be exploited to enhance drug delivery in GBM. Female 6-8 week old C57BL/6 mice were intracranially injected with glioma 261 (GL261) cells or underwent a sham injection. After 28-29 days, brain endothelial cells (CD31+/CD45-) from GL261 (GBM-EC) and sham-injected (control-EC) mice were isolated using magnetic-activated cell sorting, and the proteome of cells was compared by untargeted liquid chromatography dual mass spectrometry. GBM-EC had significantly lower abundance of tight junction proteins (e.g., tight junction protein 1, 0.4-fold) and drug-metabolizing enzymes (e.g., glutathione-S-transferase A4, 0.4-fold) compared to control-EC, alongside an up- and down-regulation of drug transporters (e.g., long-chain fatty acid transport protein 4, 5-fold; adenosine triphosphate binding cassette transporter subfamily B member 1A, 0.3-fold). A large, 7-fold up-regulation of the endothelial cell surface receptor melanoma cell adhesion molecule (MCAM) and scavenger receptor class B member 1 (SCARB1) were identified in GBM-EC compared to control-EC. Immunohistochemistry confirmed cerebral endothelial localization of MCAM and SCARB1 in GBM, in addition to nonvascular patterning within the GBM, suggesting these receptors may be targets that could be exploited for drug delivery. The present study identified changes to BBB markers of paracellular permeability, as well as active and receptor-mediated transcellular transport that could present novel avenues to consider to enhance the permeability and GBM access of current and future therapeutics.</description>
    <dc:date>2025-11-03T00:00:00Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10453/196140">
    <title>The Inverse Carson's Equations Problem: Definition, Implementation and Numerical Experiments</title>
    <link>http://hdl.handle.net/10453/196140</link>
    <description>Title: The Inverse Carson's Equations Problem: Definition, Implementation and Numerical Experiments
Authors: Tam, CH; Geth, F; Mithulananthan, N
Abstract: In recent years, with the increase in renewable energy and storage penetration, power flow studies in low-voltage networks have become of interest in both industry and academia. Many studies use impedance represented by sequence components due to the lack of datasets with fully parameterized impedance matrices. This assumes that the network impedance is balanced, which is typically not the case in the low-voltage network and therefore risks the accuracy of the study. This paper proposes a methodology for the recovery of more detailed impedance data from sequence components as an inverse problem, i.e. the inverse Carson’s equations problem, for both overhead lines and cables. We consider discrete properties like material and configuration of conductors common in the distribution network and investigate what data can be reliably recovered from only sequence components using nonlinear optimisation models. Presented results include uniqueness of recovered variables and the likelihood of mismatch.</description>
    <dc:date>2025-08-01T00:00:00Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10453/195981">
    <title>Innovation systems as imagination infrastructure for post-growth futures</title>
    <link>http://hdl.handle.net/10453/195981</link>
    <description>Title: Innovation systems as imagination infrastructure for post-growth futures
Authors: Chakori, S</description>
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