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Linear latent force models using Gaussian processes.
Purely data-driven approaches for machine learning present difficulties when data are scarce relative to the complexity of the model or when the model is forced to extrapolate. On the other hand, purely mechanistic approaches...
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Should different countries participating in PISA interpret socioeconomic background in the same way? A measurement invariance approach
It has been claimed that there is a lack of theory-driven constructs and a lack of cross-country comparability in International Large-Scale Assessment (ILSA)’s socio-economic background scales. To address these issues, a new...
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Towards sustainable micro-pollutants’ removal from wastewaters
Hydrochars obtained via hydrothermal carbonisation of pistachio shells are both a sustainable and an efficient alternative to commercial activated carbons for the removal of micro-pollutants from wastewaters that are difficult...
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Should different countries participating in PISA interpret socioeconomic background in the same way? A measurement invariance approach
It has been claimed that there is a lack of theory-driven constructs and a lack of cross-country comparability in International Large-Scale Assessment (ILSA)’s socio-economic background scales. To address these issues, a new...
Published by:
Towards sustainable micro-pollutants’ removal from wastewaters
Hydrochars obtained via hydrothermal carbonisation of pistachio shells are both a sustainable and an efficient alternative to commercial activated carbons for the removal of micro-pollutants from wastewaters that are difficult...
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Beyond Sticks and Stones
Violent crime has been commonplace in Latin America over the past decades. While existing research has made progress in explaining the rationale and outcomes of government coercive strategies against crime, it has overlooked the...
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Beyond Sticks and Stones
Violent crime has been commonplace in Latin America over the past decades. While existing research has made progress in explaining the rationale and outcomes of government coercive strategies against crime, it has overlooked the...
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Predicting the Success of a Startup in Information Technology Through Machine Learning
Predicting the success of a startup in information technology (SIT) is a very complex problem due to the diverse factors and uncertainty that affects it. The focus of automatic learning (ML) is promising because it presents good...
Expectation of reward differentially modulates executive inhibition.
BACKGROUND: Inhibitory control, a key modulatory component of cognition guiding strategy and behaviour, can be affected by diverse contingencies. We explore here the effect of expectation of reward over behavioural adjustment in...
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Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation
Abstract: Bayesian optimisation is a sample-efficient search methodology that holds great promise for accelerating drug and materials discovery programs. A frequently-overlooked modelling consideration in Bayesian optimisation...
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Green spaces, subjective health and depressed affect in middle-aged and older adults
BACKGROUND: Studies on associations between urban green space and mental health have yielded mixed results. This study examines associations of green space exposures with subjective health and depressed affect of middle-aged and...
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A Model of Cloud Forensic Application With Assurance of Cloud Log
The key concepts of digital forensic investigation in cloud computing are examination and investigation. Cybercriminals target cloud-based web applications due to presence of vulnerabilities. Forensic investigation is a complex...

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