Articles Related to caffeine
In order to successfully counter the ever-growing drug problem, there is an increasing need, to identify conspiracy links and trafficking routes and to gather background intelligence concerning both the number of sources of drugs and whether those sources are within a country or are “internationally” based and also the points of distribution and distribution networks. A scientific tool to complement routine law enforcement investigative work in this field is the characterization and impurity profiling and cutting agents of seized drugs. Drug characterization studies have shown that it is possible to link samples, to classify material from different seizures into groups of related samples and to identify the origin of samples. Such information can be used for evidential (judicial, court) purposes or it can be used as a source of intelligence to identify samples that may have a common origin or history.
Due to roles requiring higher levels of emotional management, some case workers report greater job stress and lower well-being. Caffeine consumption and withdrawal can affect well-being and caffeine is consumed more frequently among workers in stressful positions. This project identifies and describes patterns for usage of caffeine, domains of workplace well-being, and correlations between caffeine intake and workplace well-being among case workers.
Today, both nonprescription and prescription drugs used by people for disease treatment, illicit or reward purposes have diverse effects on health permanently or long-lastingly. The effects may even continue and lead to the death or disabilities in child when a person is no longer use the substance. Substances that cause addiction trigger intense feeling of euphoria then lead to loss of control of self-behavior and perception.
Could Non-Linear Heart Rate Variability Analysis of Short RR Intervals Series Give Clinically Valuable Information in Heart Disease?
New analytic methods based on nonlinear system theory have been developed to characterize the nonlinear features in HR dynamics. It is known from long time series (24h ECG recordings) that patients with chronic heart failure or stable coronary heart disease have altered fractal organization in heartbeat dynamics. During such long-time series, many confounding could limit the assessment of autonomic functions.