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Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation.
BACKGROUND: Multiple imputation (MI) is a well-recognised statistical technique for handling missing data. As usually implemented in standard statistical software, MI assumes that data are 'Missing at random' (MAR); an...
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Utilizing MAR for Remedial Teaching of Compound-Cube-Surface Area at Elementary School in Taiwan
Meng Chen, Koun Sun
Apr 01, 2020
In this paper, the development of the MAR (mobile augmented reality) remedial teaching program is described. It allowed students to manipulate augmented objects through AURASMA app via internet and find leads to solve geometry...
Teachers as Augmented Reality Designers
Martina Manna
Feb 02, 2023
As an emergent technology augmented reality (AR) demonstrated a plethora of advantages in foreign language education, promoting motivation, memorization of contents, as well as contextualized learning. However, the majority of...
The anterior insula bidirectionally modulates cost-benefit decision-making on a rodent gambling task.
Deficits in cost-benefit decision-making, as assessed in the Iowa Gambling Task (IGT), are commonly observed in neuropsychiatric disorders such as addiction. There is considerable variation in the maximization of rewards on such...
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Parasite-associated mortality in a long-lived mammal
Parasites can cause severe host morbidity and threaten survival. As parasites are generally aggregated within certain host demographics, they are likely to affect a small proportion of the entire population, with specific hosts...
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Movement seasonality in a desert-dwelling bat revealed by miniature GPS loggers.
BACKGROUND: Bats are among the most successful desert mammals. Yet, our understanding of their spatio-temporal dynamics in habitat use associated with the seasonal oscillation of resources is still limited. In this study, we...
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Desgarraduras del cuerpo y degolladuras de la voz
B Epps
Aug 24, 2017
El mismo mar de todos los veranos de Esther Tusquets narra la tormentosa relación erótica y emocional de una mujer de la alta burguesía catalana, casada y desencantada, que ejerce de profesora de literatura, con una joven...
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A general method for elicitation, imputation, and sensitivity analysis for incomplete repeated binary data.
We develop and demonstrate methods to perform sensitivity analyses to assess sensitivity to plausible departures from missing at random in incomplete repeated binary outcome data. We use multiple imputation in the not at random...
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High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds
A machine-learning model has been trained to discover Heusler compounds, which are intermetallics exhibiting diverse physical properties attractive for applications in thermoelectric and spintronic materials. Improving these...
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Linear Increments with Non-monotone Missing Data and Measurement Error.
Linear increments (LI) are used to analyse repeated outcome data with missing values. Previously, two LI methods have been proposed, one allowing non-monotone missingness but not independent measurement error and one allowing...
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Teaching clinicians shared decision making and risk communication online
Objectives: To describe the development and initial evaluation of a brief e-learning course as a means of teaching shared decision making and risk communication skills to clinicians of all specialties. Design: Comparison...
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Is bigger better? The relationship between size and reproduction in female Asian elephants.
The limited availability of resources is predicted to impose trade-offs between growth, reproduction and self-maintenance in animals. However, although some studies have shown that early reproduction suppresses growth...
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Design Principles of Mobile Learning Frameworks
Numerous studies show positive cognitive and affective results regarding the adoption of mobile learning; however, adoption levels are low, and when mobile learning occurs, it is not always based on innovative pedagogies. The...
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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Microglial phagocytosis of neurons in neurodegeneration, and its regulation.
There is growing evidence that excessive microglial phagocytosis of neurons and synapses contributes to multiple brain pathologies. RNA-seq and genome-wide association (GWAS) studies have linked multiple phagocytic genes to...
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