Emergencies inflict heavy casualties, economic losses, ecological damage, and here significant social harm to society.By segmenting information topics and analysing emotional shifts, we can identify corresponding real-world events and their impacts, thereby providing guidance for timely responses to emergencies.In the past, public opinion monitorin
Background: Alzheimer’s disease (AD) is an incurable neurodegenerative disease primarily affecting the elderly population.The therapy of AD depends heavily on an early diagnosis.In this study, our primary objective is to evaluate the classification framework, which combines graph theory and machine learning techniques for functional magnetic
Introduction: Larval source management, particularly larviciding, is mainly implemented in urban settings to control malaria and other mosquito-borne diseases.In Tanzania, the government has recently expanded larviciding to rural settings across the country, but implementation faces multiple challenges, notably inadequate resources and limited know
Ever since a novel Coronavirus disease (COVID-19) emerged in Wuhan(China), things have changed to a large extent.It has shattered the entire world in all the possible sectors by its continuous spread.Scientists all around the world have put in in-numerous amount of efforts as a result fp9550bk of which the world has finally witnessed its some of th
Normative aging is known to affect how decisions are made in risky situations.Although important individual variability exists, on average, aging is accompanied by greater risk aversion.Here the behavioral and neural mechanisms of greater risk aversion were examined in young and old rats trained on an instrumental probability discounting satisfyer