CHRONIC PAIN PATIENTS CAN BE CLASSIFIED INTO FOUR GROUPS: CLUSTERING-BASED DISCRIMINANT ANALYSIS OF PSYCHOMETRIC DATA FROM 4665 PATIENTS REFERRED TO A MULTIDISCIPLINARY PAIN CENTRE (A SQRP STUDY).

Chronic pain patients can be classified into four groups: Clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study).

To subgroup chronic pain patients using psychometric data and regress the variables most responsible for subgroup discrimination.Cross-sectional, registry-based study.Chronic pain patients assessed at a multidisciplinary pain centre between 2008 and 2015.Data from the Swedish quality registry for pain rehabilitation (SQRP) were retrieved and analys

read more

Multiplex Surface-Enhanced Raman Scattering: An Emerging Tool for Multicomponent Detection of Food Contaminants

For survival and quality of human life, the search for better ways to ensure food safety is constant.However, food contaminants still threaten human health throughout the food chain.In particular, food systems are often polluted with multiple contaminants simultaneously, which can cause synergistic effects and greatly increase Separator Roll food t

read more

Pulse Ultrasonic Cure Monitoring of the Pultrusion Process

This article discusses the results of a series of experiments on pulse ultrasonic cure monitoring of carbon fiber reinforced plastics applied to the pultrusion process.The aim of this study is to validate the hypothesis that pulse ultrasonic cure monitoring can be applied (a) for profiles having small cross sections such as 7 mm × 0.5 m m and

read more