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17051 |
Using a climate attribution statistic to inform judgments about changing fisheries sustainability
Enthalten in Scientific reports Bd. 11, 14.12.2021, Nr. 1, date:12.2021: 1-12
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17052 |
Using a modified nominal group technique to develop complex interventions for a randomised controlled trial in children with symptomatic pes planus
Enthalten in Trials Bd. 23, 11.4.2022, Nr. 1, date:12.2022: 1-8
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17053 |
Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study over 12 months
Enthalten in npj Parkinson's Disease Bd. 10, 12.6.2024, Nr. 1, date:12.2024: 1-11
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17054 |
Using a state cancer registry to recruit young breast cancer survivors and high-risk relatives: protocol of a randomized trial testing the efficacy of a targeted versus a tailored intervention to increase breast cancer screening
Enthalten in BMC cancer Bd. 13, 1.3.2013, Nr. 1, date:12.2013: 1-9
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17055 |
Using diatoms to assess the impacts of prehistoric, pre-industrial and modern land-use on Danish lakes
Enthalten in Regional environmental change Bd. 6, 4.2.2006, Nr. 1-2, date:3.2006: 17-24
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17056 |
Using dual classifications in the development of avian wetland indices of biological integrity for wetlands in West Virginia, USA
Enthalten in Environmental monitoring and assessment Bd. 164, 29.4.2009, Nr. 1-4, date:5.2010: 533-548
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17057 |
Using implementation facilitation to implement primary care mental health integration via clinical video telehealth in rural clinics: protocol for a hybrid type 2 cluster randomized stepped-wedge design
Enthalten in Implementation science Bd. 14, 21.3.2019, Nr. 1, date:12.2019: 1-12
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17058 |
Using Indentation and Intra-Vascular Ultrasound to Measure Arterial Response
Enthalten in Materials Research Society: MRS online proceedings library Bd. 662, 15.3.2011, Nr. 1, date:12.2000: 1-6
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17059 |
Using inertial measurement units to estimate spine joint kinematics and kinetics during walking and running
Enthalten in Scientific reports Bd. 14, 2.1.2024, Nr. 1, date:12.2024: 1-17
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17060 |
Using joint species distribution modelling to predict distributions of seafloor taxa and identify vulnerable marine ecosystems in New Zealand waters
Enthalten in Biodiversity and conservation Bd. 33, 30.7.2024, Nr. 11, date:9.2024: 3103-3127
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Administration
