OpenAIR @ RGU is a digital repository which contains examples of research publications and related content produced by staff and graduate students at Robert Gordon University. Information about OpenAIR is available in a Guide and, to submit content, RGU researchers should contact publications@rgu.ac.uk.

  • Bioindicators assessing water quality and environmental impacts of water treatment plant sludge. 

    Abreu da Costa, Talitha R. Alves; Weber, Olmar Baller; Pestana, Carlos J.; Capelo-Neto, Jose (INDERSCIENCE https://doi.org/10.1504/IJESD.2017.10001350, 2016-11-18)
    ABREU DA COSTA, T.R.A., WEBER, O.B., PESTANA, C.J. and CAPELO-NETO, J. 2017. Bioindicators assessing water quality and environmental impacts of water treatment plant sludge. International journal of environment and sustainable development [online], 16(1), pages 25-42. Available from: https://doi.org/10.1504/IJESD.2017.10001350
    This study had as objectives to assess water quality using macroinvertebrate communities in Gaviao artificial reservoir (Brazil), used to supply potable water to 2.5 million people, and to evaluate how these organisms ...
  • Why is so much clinical research ignored and what can we do about it? 

    Grant, Aileen; Treweek, Shaun; Wells, Mary (Mark Allen Healthcare https://doi.org/10.12968/hmed.2016.77.10.554, 2016-10-10)
    GRANT, A., TREWEEK, S. and WELLS, M. 2016. Why is so much clinical research ignored and what can we do about it? British journal of hospital medicine [online], 77(10), pages 554-555. Available from: https://doi.org/10.12968/hmed.2016.77.10.554
    The key points of this article are 1) Research evidence from clinical trials is not being translated into clinical practice in a timely manner and this represents an enormous waste of resources and missed opportunities. ...
  • Embedding knowledge transfer to increase productivity in school nursing. 

    Forkuo, Anthony Kwaku (Mark Allen Healthcare https://doi.org/10.12968/bjsn.2017.12.10.480, 2017-12-15)
    FORKUO, A.K. 2017. Embedding knowledge transfer to increase productivity in school nursing. British journal of school of nursing [online], 12(10), pages 480-484. Available from: https://doi.org/10.12968/bjsn.2017.12.10.480
    This article is a discussion paper aimed at school nursing leaders and, importantly, nursing managers and academics who are looking for ways to sustain nursing services. With austerity, there is a compelling demand for ...
  • Solar powered charging backpack. 

    Taverne, Jonas; Muhammad-Sukki, Firdaus; Ayub, Ahmad Syahir; Sellami, Nazmi; Abu-Bakar, Siti Hawa; Bani, Nurul Aini; Mas'ud, Abdullahi Abubakar (UNIVERSITI TEKNOLOGI MALAYSIA (Organisers) http://www.fke.utm.my/ICEECC2017/, 2017-12-05)
    TAVERNE, J., MUHAMMAD-SUKKI, F., AYUB, A.S., SELLAMI, N., ABU-BAKAR, S.H., BANI, N.A. and MAS'UD, A.A. 2017. Solar powered charging backpack. Presented at the International conference on electrical, electronic, communication and control engineering 2017 (ICEECC2017), 5-6 December 2017, Kuala Lumpur, Malaysia.
    This paper demonstrated a step by step process in designing a solar powered charging backpack that is capable of charging a mobile phone efficiently. A selection of existing products available on the market were reviewed ...
  • Comparison of artificial neural network and multiple regression for partial discharge sources recognition. 

    Mas'ud, Abdullahi Abubakar; Muhammad-Sukki, Firdaus; Albarracin, Ricardo; Ardila-Rey, Jorge Alfredo; Abu-Bakar, Siti Hawa; Aziz, Nur Fadilah Ab; Bani, Nurul Aini; Muhtazaruddin, Mohd Nabil (IEEE, 2017-05-09)
    MAS'UD, A.A., MUHAMMAD-SUKKI, F., ALBARRACIN, R., ARDILA-REY, J.A., ABU-BAKAR, S.H., AZIZ, N.F.A., BANI, N.A. and MUHTAZARUDDIN, M.N. 2017. Comparison of artificial neural network and multiple regression for partial discharge sources recognition. Presented at the 9th IEEE-GCC conference and exhibition 2017: solutions for a smarter economy, 9-11 May 2017, Bahrain, Saudi Arabia.
    This paper compares the capabilities of the artificial neural network (ANN) and multiple linear regression (MLR) for recognizing and discriminating partial discharge (PD) defects. Statistical fingerprints obtained from a ...

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