PRESENTING A MULTI-OBJECTIVE MODEL BASED ON QUALITY FUNCTION DEPLOYMENT FOR CHOOSING EFFECTIVENESS STRATEGIES IN THE HUMANITARIAN SUPPLY CHAIN

Presenting a Multi-Objective Model based on Quality Function Deployment for Choosing Effectiveness Strategies in the Humanitarian Supply Chain

Objective: Humanitarian operations begin quickly with disasters to save lives, reduce the suffering of the injured and meet their needs.Appropriate strategies and solutions should be used to help the injured.In this regard, this paper aims to provide a hybrid approach to select effective strategies in the humanitarian supply chain.Methods: In this

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Assessing mental health service user and carer involvement in physical health care planning: The development and validation of a new patient-reported experience measure.

BackgroundPeople living with serious mental health conditions experience increased morbidity due to physical health issues driven by medication side-effects and lifestyle factors.Coordinated mental and physical healthcare delivered in accordance with a care plan could help to reduce morbidity and mortality in this population.Efforts to develop new

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Automatic Sarcasm Detection: Systematic Literature Review

Sarcasm is an integral part of human language and culture.Naturally, it has garnered great interest from researchers from turbosound ts-18sw700/8a varied fields of study, including Artificial Intelligence, especially Natural Language Processing.Automatic sarcasm detection has become an increasingly popular topic in the past decade.The research cond

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Beyond Systematic and Unsystematic Responding: Latent Class Mixture Models to Characterize Response Patterns in Discounting Research

Operant behavioral economic methods are increasingly used in basic research on the efficacy of reinforcers as well as in large-scale applied research (e.g., evaluation of empirical public policy).Various methods and strategies have been put forward to assist discounting researchers in conducting large-scale research and detecting irregular response

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