This is a preview. Log in through your library . Abstract Suppose that a clinical trial has been carried out using a sequential design. Any analysis that neglects the monitoring of the trial is ...
Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Amanda Jackson has expertise in personal finance, investing, and social services. She is a ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Back in 1934, Ralph Nelson Elliott discovered that price action displayed on charts, instead of behaving in a somewhat chaotic manner, had actually an intrinsic narrative attached. Elliot saw the same ...
Proteomic analysis (proteomics) refers to the systematic identification and quantification of the complete complement of proteins (the proteome) of a biological system (cell, tissue, organ, biological ...
Several measurement techniques used in the life sciences gather data for many more variables per sample than the typical number of samples assayed. For instance, DNA microarrays and mass spectrometers ...
Get alerts on the UK app about the latest stories from InDepth - the home of the best analysis from BBC correspondents With devolved elections coming up, questions over Labour’s direction and internal ...
Abstract: Analysis of functional connectivity networks (FCNs) derived from resting-state functional magnetic resonance imaging (rs-fMRI) has greatly advanced our understanding of brain diseases, ...
Companies say AI will fundamentally change business forever. But what does that change look like, and what are they doing to make it happen? Plus, teen AI founders, humanoid-robot hype, Nvidia’s fresh ...
Abstract: In this article, we present a novel dual control strategy for uncertain linear systems based on targeted harmonic exploration and gain-scheduling with performance and excitation guarantees.
We propose an analytical task affinity metric for medical image segmentation tasks to quantitatively predict the transfer performance of source tasks. Considering the characteristics of medical image ...
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