Showing 801 - 820 results of 934 for search '"Melbourne"', query time: 0.06s Refine Results
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    Caregivers’ experiences of being asked about adverse childhood experiences and receiving support from an integrated health and social care hub: a qualitative study by Ashraful Kabir, Harriet Hiscock, Hueiming Liu, Lingling Chen, Rebecca Bosward, Natalie White, Sarah Loveday, Wilhelmina Ebbett

    Published 2025-02-01
    “…NVivo (V.12) was used to organise, index and retrieve data.Settings This study was conducted in two Child and Family Hubs (CFHs) in Australia—IPC Health, Wyndham Vale, Melbourne, and Marrickville Health Centre, Sydney, between May and October 2023.Participants Participants (n=29) were the caregivers of children living with adverse childhood experiences (ACEs).Results Four themes were identified which reflected the caregivers’ experiences of being asked about adversities and how they linked to the support and services both in the CFHs and outside the CFH. …”
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    A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting by Kezhao Li, Yunyan Shen, Xiaokui Yue, Yingxiang Jiao, Kai Wang, Zhe Yue, Keke Xu

    Published 2023-01-01
    “…The TurboEdit method consists of the Melbourne-Wubbena (MW) and the geometry-free phase (GF) combination. …”
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    Tumour DNA methylation markers associated with breast cancer survival: a replication study by Elaheh Zarean, Shuai Li, Ee Ming Wong, Enes Makalic, Roger L. Milne, Graham G. Giles, Catriona McLean, Melissa C. Southey, Pierre-Antoine Dugué

    Published 2025-01-01
    “…Methods This study sought to replicate previously reported associations for individual CpG sites and multi-CpG signatures using an Australian sample of 425 women with breast cancer from the Melbourne Collaborative Cohort Study (MCCS). Candidate methylation sites (N = 22) and signatures (N = 3) potentially associated with breast cancer survival were identified from five prior studies that used The Cancer Genome Atlas (TCGA) methylation dataset, which shares key characteristics with the MCCS: comparable sample size, tissue type (formalin-fixed paraffin-embedded; FFPE), technology (Illumina HumanMethylation450 array), and participant characteristics (age, ancestry, and disease subtype and severity). …”
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    Bibliometric Analysis and ChatGPT-Assisted Identification of Key Strategies for Improving Primary Maternity Care Based on a Decade of Collective Research by Maulana S, Iqhrammullah M, Pratama R, Tjandra S, Mulya IC, Haroen H

    Published 2025-01-01
    “…Sidik Maulana,1,* Muhammad Iqhrammullah,2,* Rovy Pratama,3 Sydney Tjandra,4 Intan Chaharunia Mulya,5 Hartiah Haroen6 1Postgraduate Program of Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, Indonesia; 2Postgraduate Program of Public Health, Universitas Muhammadiyah Aceh, Banda Aceh, Indonesia; 3Department of Public Health, Faculty of Medicine, Universitas Syiah Kuala, Indonesia; 4Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia; 5Education Program in Reproduction & Development, Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, 3168, Australia; 6Department of Community Health Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, Indonesia*These authors contributed equally to this workCorrespondence: Sidik Maulana, Faculty of Nursing, Universitas Padjadjaran, Jl. …”
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