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Results: 249
Assessment of common infections and incident dementia using UK primary and secondary care data
BACKGROUND: Common infections have been associated with dementia risk; however, evidence is scarce. We aimed to investigate the association between common infections and dementia in adults (≥65 years) in a UK population-based...
An Exploration of the Relationships Between Different Reading Strategies and IELTS Test Performance
This study explores which types of IELTS Academic Reading strategies are used, and the impact of these strategies on test outcomes. The study was a quantitative research, using descriptive-correlational design based on data...
A Semi-Automated Data Pipeline for Predicting Lunar Impactor Diameters From Pre-Impact Topography and Ray Geometry
Liam Powers
Jan 01, 0001
The cause of asymmetries in ray systems created by impact craters has long remained a mystery. Sabuwala et al. (2018) showed that a relation exists between the creation of prominent rays, impactor diameter, and the number of...
Published by: Ursinus College
The Spatial Relationship Between Tycho Secondary Craters and Distal Impact Melt Deposits
Liam Powers
Jan 01, 0001
Study and analysis of Tycho's secondary crater populations in relation to previously identified impact melt and ray systems.
Published by: Ursinus College
Automatic Data Aggregation to Assist in the Systematic Classification of Small Lunar Craters
Liam Powers
Jan 01, 0001
Crater counting has been one of the dominant methods of characterizing surfaces of planetary bodies in the absence of material samples. Unfortunately, counts often rely on the subjective expertise of the counter, which limits...
Published by: Ursinus College
'From Cradle to Grave?'

While death features widely in various humanities and some social science disciplines, to date it has not been given the attention it deserves in social policy discourse or research. This paper sets out to begin to rectify...

'From Cradle to Grave?'

While death features widely in various humanities and some social science disciplines, to date it has not been given the attention it deserves in social policy discourse or research. This paper sets out to begin to rectify...

Anomaly Detection in Batch Manufacturing Processes Using Localized Reconstruction Errors From 1-D Convolutional AutoEncoders
Multivariate batch time-series data sets within Semiconductor manufacturing processes present a difficult environment for effective Anomaly Detection (AD). The challenge is amplified by the limited availability of ground truth...

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