Innovation in the energy sector–The role of fossil fuels and developing economies
E Brutschin, A Fleig - Energy Policy, 2016 - Elsevier
This paper analyzes the effects of fossil fuel rents on R&D expenditures and patent grants in
the field of energy-related technology. We argue that an increasing share of fossil fuel rents …
the field of energy-related technology. We argue that an increasing share of fossil fuel rents …
Families' experiences with end-of-life care in nursing homes and associations with dying peacefully with dementia
SR Bolt, L Verbeek, JMM Meijers… - Journal of the American …, 2019 - Elsevier
Objectives To examine family caregivers' experiences with end-of-life care for nursing home
residents with dementia and associations with the residents dying peacefully. Design A …
residents with dementia and associations with the residents dying peacefully. Design A …
The role of dissociation-related beliefs about memory in trauma-focused treatment
RPA van der Linde, RJC Huntjens… - European Journal of …, 2023 - Taylor & Francis
Objective: Dysfunctional cognitions play a central role in the development of post-traumatic
stress disorder (PTSD). However the role of specific dissociation-related beliefs about …
stress disorder (PTSD). However the role of specific dissociation-related beliefs about …
Stigma among UK family carers of people living with dementia
Background Models of caregiving seldom include the role of stigma when understanding the
experiences of carers of people living with dementia. Aims To investigate the validity of the …
experiences of carers of people living with dementia. Aims To investigate the validity of the …
Adaptation and preliminary psychometric properties of three self-stigma outcome measures for people living with dementia
Background A diagnosis of dementia presents individuals with both social and
psychological challenges but research on self-stigma in dementia has been largely confined …
psychological challenges but research on self-stigma in dementia has been largely confined …
Sensor Data Quality in Ships: A Time Series Forecasting Approach to Compensate for Missing Data and Drift in Measurements of Speed through Water Sensors
K Alexiou, EG Pariotis, HC Leligou - Designs, 2023 - mdpi.com
In this paper, four machine learning algorithms are examined regarding their effectiveness in
dealing with a complete lack of sensor drift values for a crucial parameter for ship …
dealing with a complete lack of sensor drift values for a crucial parameter for ship …
Evaluation of risk factors for falls in the elderly based on a real data set using Bayesian networks
G Sihag - 2023 - theses.hal.science
Falls are a significant problem for the elderly, with identification and evaluation of risk factors
being essential to reduce fall rates. However, fall prevention requires a pedagogical and …
being essential to reduce fall rates. However, fall prevention requires a pedagogical and …
Teacher professional development: a cross-national analysis of quality features associated with teaching practices and student achievement
F Barrera Pedemonte - 2016 - discovery.ucl.ac.uk
This thesis ponders three theory-based aspects of the relationship between quality features
of teacher professional development (TPD) and national educational outcomes by using …
of teacher professional development (TPD) and national educational outcomes by using …
Missing value imputation using contemporary computer capabilities: An application to financial statements data in large panels
A Gorišek, M Pahor - Economic and Business Review, 2017 - ebrjournal.net
This paper addresses an evaluation of the methods for automatic item imputation to large
datasets with missing data in the particular setting of financial data often used in economic …
datasets with missing data in the particular setting of financial data often used in economic …
Analysis Ofmultivariate Hierarchical data With Missingness-anapplication to in-patient Paediatric Pneumonia Care
SW Gachau - 2021 - erepository.uonbi.ac.ke
Routine health data are used to monitor quality of care and to inform interventions to
improve patient care. However, statistical analysis of such data presents several challenges …
improve patient care. However, statistical analysis of such data presents several challenges …