PROMISES, PITFALLS, AND BASIC GUIDELINES FOR APPLYING MACHINE LEARNING CLASSIFIERS TO PSYCHIATRIC IMAGING DATA, WITH AUTISM AS AN EXAMPLE

Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example

Most psychiatric disorders are associated with subtle alterations in brain function and are subject to large inter-individual differences.Typically the diagnosis of these disorders requires time-consuming behavioral assessments administered by a multi-disciplinary team with extensive experience.Whilst the application of machine learning classificat

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The opioid overdose epidemic: opportunities for pharmacists

Li-Tzy Wu,1–4 Udi E Ghitza,5 Anne L Burns,6 Paolo Mannelli,1 1Department of Psychiatry and Behavioral Sciences, 2Department of Medicine, 3Duke Clinical Research Institute, Duke University School of Medicine, 4Center Self Aligning Bearing for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, NC, 5Center for Cli

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Minority compounds and sensory analysis evaluation of Coffea arabica var. caturra cultivated in three different altitudinal ranges

The composition of minority compounds in samples of roasted and ground coffee (Coffea arabica var.caturra) cultivated in three altitudinal ranges 1300-1400, 1400-1600, 1600-1800 m.a.s.l., in the Huila department of Colombia were Bib determined.The samples were collected in July of 2012.pH, total acidity and total lipids were measured.Subsequently,

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Systolic Aspects of Black Hole Entropy

We attempt to provide a mesoscopic treatment of the origin of black hole entropy in (3 + 1)-dimensional spacetimes.We ascribe this entropy to the non-trivial topology of the space-like sections Σ of the horizon.This is not forbidden by topological censorship, since all the known energy inequalities needed to prove the spherical Grommets topolo

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