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Study of a Model of Nervousness Propagation Within Virtual Crowds
Crowd dynamics has been of a great interest in the last decades, notably to understand and prevent emergency situations. In this field, computer...
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Tool for Nervousness Analysis in a Rolling Planning Environment via Historical Data
This paper analyses the modifications of plans exchanged between supply chain actors in a tactical planning rolling horizon process. A particular...
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From a focal skin issue to a systemic disease: the multifaceted nature of cold sores, novel findings
Cold sores, a viral infection caused by the herpes simplex virus, are a prevalent affliction affecting millions of people across the globe. In this...
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Personality traits and brain health: a large prospective cohort study
Personality has recently emerged as a critical determinant for multiple health outcomes. However, the evidence is less established for brain health,...
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Mapping of the network connection between sleep quality symptoms, depression, generalized anxiety, and burnout in the general population of Peru and El Salvador
BackgroundA meta-analysis of randomized controlled trials has suggested a bidirectional relationship between sleep problems and mental health issues....
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Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom
The health crisis caused by COVID-19 in the United Kingdom and the confinement measures that were subsequently implemented had unprecedented effects...
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Associations between anxiety, depression, and personal mastery in community-dwelling older adults: a network-based analysis
BackgroundIn China, about 18.70% of the population aged 60 years and older are at risk of low personal mastery as well as anxiety and depression for...
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Delays in Accessing Healthcare Across the Gender Spectrum in the All of Us Research Program
BackgroundGender minorities and cisgender women face barriers to healthcare access. Prior work suggests cost may represent a particular barrier to...
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Reducing and Discharging Restlessness and Inner Tension
Many of our clients suffer from restlessness, nervousness and tension. Some can become calm through one or the other exercise that we discussed in...
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The Influence of Sleep Quality and Duration on the Feeling of Mental Acuity During the COVID-19 Lockdown – A Pilot Study
The goal of the project is to determine if people wear Fitness Bands that portray the amount of sleep they get daily and determine the correlation...
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The emotional side of post-traumatic stress reaction during COVID-19 pandemic: an Italian survey
BackgroundSocial restrictions due to COVID-19 might have had a significant impact on mental health. The aim of this study was to assess the...
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Mapping associations between anxiety and sleep problems among outpatients in high-altitude areas: a network analysis
BackgroundAnxiety and sleep problems are common comorbidities among outpatients living in high-altitude areas. Network analysis is a novel method to...
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The influence of personality on the risk of myocardial infarction in UK Biobank cohort
Personality is a strong determinant for several health-related behaviours and has been linked to the development of cardiovascular diseases. However,...
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The association between smoking and family health with the mediation role of personality among Chinese people: nationwide cross-sectional study
BackgroundThere may be unexplored interactions between family health, personality, and smoking that could help provide new perspectives on tobacco...
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An intelligent approach to adapting Kanban cards with fuzzy controller for pull production control
This document presents research on an intelligent policy based on fuzzy logic for dynamically adjusting the number of Kanban cards in a pull...
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Subjective Scores and Gaze Distribution in Personality Evaluations: Effect of Subjects’ Clothing on Observers’ Impressions of Them
The clothing that coworkers and others wear in the workplace affects our evaluations of them, including what personality traits we ascribe to them....
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Factors influencing psychological distress among breast cancer survivors using machine learning techniques
Breast cancer is the most commonly diagnosed cancer among women worldwide. Breast cancer patients experience significant distress relating to their...
