Parent Interventions: Navigating through the Pandemic  |  Health Monitor: Attention and Memory Deficits in People Who Experienced Mild Covid  |  Parent Interventions: How can we Revert Peanut Allergies in Children?  |  Teacher Insights: Play Based Learning has a Positive Impact on Child's Learning and Development  |  Health Monitor: Social Media Use Likely to Affect the Physical Health of a Person  |  Parent Interventions: How to Deal with Developmental Language Disorder in Children  |  Health Monitor: Lifestyle Interventions from Early Childhood Prevents Cardiovascular Diseases  |  Teacher Insights: Teacher Expectations Can Have Powerful Impact on Students Academic Achievement  |  Policy Indications: Make Sure the Digital Technology Works for Public Good  |  Teacher Insights: The Significance of Social Emotional Learning Curriculum in Schools  |  Health Monitor: Forgetting is a Form of Learning  |  Higher Studies: University of Manchester Invites Application for LLB and LLM Programmes   |  Health Monitor: Is There a Blue Spot Inside our Brain?  |  Parent Interventions: Babies born during the Pandemic Performs Lower during Developmental Screening  |  Policy Indications: Invest in Structural Steel R&D : Prof BS Murty  |  
July 05, 2019 Friday 03:07:23 PM IST

Automated caffeine alertness

Science Innovations

A web-based caffeine optimization tool successfully designs effective strategies to maximize alertness while avoiding excessive caffeine consumption, according to preliminary results from a new study released by American Academy of Sleep Medicine. 

Using multiple sleep-deprivation and shift-work scenarios, the researchers generated caffeine-consumption guidance using the open-access tool 2B-Alert Web 2.0, and then they compared the results with the US Army guidelines. Their analysis found that the solutions suggested by the quantitative caffeine optimization tool either required an average 40% less caffeine or enhanced alertness by an additional 40%.With this added capability, the 2B-Alert Web 2.0 tool now allows users to predict the alertness of an ‘average’ individual as a function of his or her sleep/wake schedule and caffeine schedule. It also enables users to automatically obtain optimal caffeine timing and doses to achieve peak alertness at the desired times.This freely available tool will have practical applications that extend beyond the realms of the military and the research lab. 

Comments