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New insights into the sustainable use of natural resources in human systems can be gained through comparison with ecosystems via common indices. In both kinds of system, resources are processed by a number of users within a network, but we consider ecosystems as the only ones displaying sustainable patterns of growth and development. This study aims at using Network Analysis (NA) to move such "ecosystem perspective" from theory into practice. A Danish municipal Water Management System (WMS) is used as case study to test the NA methodology and to discuss its generic applicability. We identified water users within the WMS and represented their interactions as a network of water flows. We computed intensive and extensive indices of system-level performance for seven different network configurations illustrating past conditions (2004-2008) and future scenarios (2015 and 2020). We also computed the same indices for other 24 human systems and for 12 ecosystems, by using information from the existing scientific literature on NA. The comparison of these results reveals that the WMS is similar to the other human systems and that human systems generally differ from ecosystems. The WMS is highly efficient at processing the water resource, but the rigid and almost linear structure makes it vulnerable in situations of stress such as heavy rain events. The analysis of future scenarios showed a trend towards increased sustainability, but differences between past and expected future performance of the WMS are marginal. We argue that future interventions should create alternative pathways for reusing rainwater within the WMS, increasing its potential to withstand the occurrence of flooding. We discuss advantages, limitations, and general applicability of NA as a tool for assessing environmental sustainability in human systems.
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http://dx.doi.org/10.1016/j.jenvman.2012.12.042 | DOI Listing |
Driven by eutrophication and global warming, the occurrence and frequency of harmful cyanobacteria blooms (CyanoHABs) are increasing worldwide, posing a serious threat to human health and biodiversity. Early warning enables precautional control measures of CyanoHABs within water bodies and in water works, and it becomes operational with high frequency in situ data (HFISD) of water quality and forecasting models by machine learning (ML). However, the acceptance of early warning systems by end-users relies significantly on the interpretability and generalizability of underlying models, and their operability.
View Article and Find Full Text PDFTurk J Pediatr
September 2025
Division of Pediatric Infectious Diseases, Faculty of Medicine, İstanbul University, İstanbul, Türkiye.
Aim: This study aimed to describe barriers and facilitators of the adherence of children with human immunodeficiency virus (HIV) to antiretroviral therapy (ART) from the perspectives of their caregivers.
Methods: In-depth interviews were held with the caregivers of 15 children. The collected data were analyzed using thematic analysis procedures.
Turk J Pediatr
September 2025
Department of Pediatric Hematology and Oncology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Background: The expression and clinical correlation of BRAFV600E mutation and programmed cell death-1 ligand 1 (PD-L1) in children with Langerhans cell histiocytosis (LCH) have been reported, but the conclusions of previous studies are inconsistent. In addition, it has been reported that elevated cathepsin S (CTSS) expression is associated with various cancers. However, there is currently no research on the correlation between CTSS and LCH.
View Article and Find Full Text PDFJMIR Hum Factors
September 2025
Media Psychology Lab, Department of Communication Science, KU Leuven, Leuven, Belgium.
Background: Out-of-hospital cardiac arrests (OHCAs) are a leading cause of death worldwide, yet first responder apps can significantly improve outcomes by mobilizing citizens to perform cardiopulmonary resuscitation before professional help arrives. Despite their importance, limited research has examined the psychological and behavioral factors that influence individuals' willingness to adopt these apps.
Objective: Given that first responder app use involves elements of both technology adoption and preventive health behavior, it is essential to examine this behavior from multiple theoretical perspectives.
J Med Internet Res
September 2025
University College London, London, United Kingdom.
Background: Online postal self-sampling (OPSS) allows service users to screen for sexually transmitted infections (STIs) by ordering a self-sampling kit online, taking their own samples, returning them to a laboratory for testing, and receiving their results remotely. OPSS availability and use has increased in both the United Kingdom and globally the past decade but has been adopted in different regions of England at different times, with different models of delivery. It is not known why certain models were decided on or how implementation strategies have influenced outcomes, including the sustainability of OPSS in sexual health service delivery.
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