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Spatial transcriptomic studies are reaching single-cell spatial resolution, with data often collected from multiple tissue sections. Here, we present a computational method, BASS, that enables multi-scale and multi-sample analysis for single-cell resolut
The rest of this paper is structured as follows. Section “Literature review and hypotheses development” reviews the literature and processes the hypotheses. This section also provides details on prior studies to find the research gap, hence it motivates the interest in the differences and determinan...
Also, the form of administration, a survey, and the lack of time limit within which to complete the examination could lead participants to use external sources (any tool of a technical or paper nature or anything that can create an advantage over the knowledge of each participant) ...
The separate repeated measure ANOVAs in the present paper on the ratings of liking and sensory properties of the chocolate pudding samples (with age class and BMI included as covariates) revealed statistically significant differences by cluster over the pudding samples for both men and women in the...
A better understanding of the relationships between insomnia and anxiety, mood, eating, and alcohol-use disorders is needed given its prevalence among young adults. Supervised machine learning provides the ability to evaluate which mental disorder is mos
What it does It's an android app that gives user the ability to purchase local bus passes in app, using NFC to manage cashless payments, making it easier across the board to get from point A to point B without the worry of a paper pass. The app also determines the cheapest and...
Items reflect children's ability to control attention and thought (e.g., “persists to reach goal”), behavior (e.g., “restless,”“overactive”), and emotions (e.g., “often has hot tempers”), and are consistent with the definition cited at the start of this paper (Crafa, 2015...
This paper deals with a new Bayesian approach to the one-sample test for proportion. More specifically, let x=(x1,…,xn) be an independent random sample of size n from a Bernoulli distribution with an unknown parameter θ. For a fixed value θ0, the goal