Results 191 to 200 of about 410,064 (354)

The Effect of Extra Funding for Disadvantaged Pupils on Achievement [PDF]

open access: yes
This paper evaluates the effects of two subsidies targeted at disadvantaged pupils in the Netherlands. The first scheme gives primary schools with at least 70 percent minority pupils extra funding for personnel.
Leuven, Edwin   +3 more
core  

Thermal‐Infrared Measurements of the North‐East Tower at Ardrossan Castle

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Thermal‐infrared imaging of buildings is used to investigate a range of phenomena including the accumulation of moisture. In general, the presence of moisture poses a direct danger to historic structures and must be characterized prior to any intervention.
Michael Bowry   +15 more
wiley   +1 more source

Regression Discontinuity Designs in Epidemiology: A Practical Guide

open access: yesClinical Epidemiology
Aidan G O’Keeffe,1 Irene Petersen2,3 1School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK; 2Research Department of Primary Care and Population Health, University College London, London, NW3 2PF, UK; 3Department of Clinical ...
O'Keeffe AG, Petersen I
doaj  

Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design. [PDF]

open access: yesVaccine X, 2022
Greene SK   +8 more
europepmc   +1 more source

Incumbency, Party Identity and Governmental Lead: Evidence for Heterogeneous Incumbency Effects for Germany [PDF]

open access: yes
Do incumbents in an election have an advantage, and if so, are these advantages heterogeneous across parties or government and opposition? We first present a theoretical discussion on the possible heterogeneity of incumbency effects in a pure two-party ...
Christian Odendahl   +2 more
core  

Generative Deep Learning for Advanced Battery Materials

open access: yesBatteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy