Mobile work is increasingly common. For our purposes, mobile work entails long-distance commuting arrangements with periods living away from the primary domestic residence that may be considered 'home'. Mobile work reconfigures the relational fabric of 'home', introducing multilocal mooring points into worker's lives, and thus reshaping the spatial and temporal patterns and meanings of dwelling. Geography and cognate disciplines have begun to investigate the spatialities and temporalities of mobile work and multilocal dwelling, including the complexities of space-time management, but as yet little attention has been given to implications and impacts on the wellbeing of workers and their families - this is despite growing concern for worker and family wellbeing in some mobile work sectors, such as FIFO mining. Wellbeing is also a complex and multivalent concept, taking in objective and subjective dimensions, including health indicators and quality of life. In this context, this paper reviews recent literature on mobile work and multilocal dwelling and geographies of wellbeing to identify productive intersections for conceptual and empirical development. We suggest that provocations about space-times of wellbeing (Fleuret and Prugneau, 2015) and wellbeing as a relational, situated assemblage (Atkinson, 2013) are productive for analysing wellbeing in a context of mobility and multilocality.
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http://dx.doi.org/10.1016/j.healthplace.2018.04.004 | DOI Listing |
Sci Rep
January 2025
North Carolina School of Science and Mathematics, Durham, NC, 27705, USA.
Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional communication systems due to their decentralized and dynamic nature. However, their wireless architecture makes them highly vulnerable to flooding attacks, which can disrupt communication, deplete energy resources, and degrade network performance. This study presents a novel hybrid deep learning approach integrating Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) architectures to effectively detect and mitigate flooding attacks in MANETs.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Mathematics, Dambi Dollo University, Dambi Dollo, Oromia, Ethiopia.
A novel method for solving the multiple-attribute decision-making problem is proposed using the complex Diophantine interval-valued Pythagorean normal set (CDIVPNS). This study aims to discuss aggregating operations and how they are interpreted. We discuss the concept of CDIVPN weighted averaging (CDIVPNWA), CDIVPN weighted geometric (CDIVPNWG), generalized CDIVPN weighted averaging (CGDIVPNWA) and generalized CGDIVPN weighted geometric (CGDIVPNWG).
View Article and Find Full Text PDFEnviron Res
January 2025
College of Water Sciences, Beijing Normal University, Beijing 100875, China. Electronic address:
Urban rivers are the main water bodies humans frequently come into contact with, so the risks posed are closely monitored. Antibiotic resistance genes (ARGs) residues in reclaimed water pose serious risks to human health. There are urgent needs to improve the understanding of distribution of and risks posed by ARGs in urban rivers.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address:
Effluent from wastewater treatment plants (WWTPs) is recognized as a significant source of antibiotic resistance genes (ARGs) in the environment. Advanced treatment processes such as ultrafiltration (UF), ultraviolet (UV) light disinfection, and chlorination have emerged as promising approaches for ARG removal. However, the efficacy of sequential disinfection processes, such as UF-UV-chlorination on intracellular (iARGs) and extracellular ARGs (eARGs), remains largely unknown.
View Article and Find Full Text PDFVaccine
January 2025
Maternité Port-Royal, Groupe hospitalier Paris Centre, AP-HP, FHU Prema, 75014 Paris, France; Université Paris Cité, Paris, France; INSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics, Université de Paris-Cité, Paris, France.
Background: Despite French national recommendations since 2012 that all pregnant women be vaccinated against influenza, in 2021 this vaccine coverage is low - around 30 % - in France.
Objectives: To identify barriers to influenza vaccination during pregnancy by assessing how often women were offered this vaccination and how often they accepted it.
Study Design: We used data from the French national perinatal survey (ENP), which covered all births during one week in March 2021 (N = 12,614).
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