Recent literature on material flow analysis has been focused on quantitative characterization of past material flows. Fewer analyses exist on past and prospective quantification of stocks of materials in-use. Some of these analyses explore the composition of products' stocks, but a focus on the characterization of material stocks and its relation with service delivery is often neglected. We propose the use of the methods of human demography to characterize material stocks, defined herein as stock demographics, exploring the insights that this approach could provide for the sustainable management of materials. We exemplify an application of stock demographics by characterizing the composition and service delivery of iron, steel, and aluminum stocks of cars in Great Britain, 2002-2012. The results show that in this period the stock has become heavier, it is traveling less, and it is idle for more time. The visualization of material stocks' dynamics demonstrates the pace of product replacement as a function of its usefulness and enables the formulation of policy interventions and the exploration of future trends.
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http://dx.doi.org/10.1021/acs.est.5b05012 | DOI Listing |
Sci Rep
January 2025
Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, IR-SANT PAU, CIBERER-U747 ISCIII, ENDO-ERN, Barcelona, Spain.
Increasing evidence supports the presence of oxytocin deficiency (OXT-D) in patients with hypopituitarism and hypothalamic damage (HHD), that might be associated with neuropsychological deficits and sexual dysfunction, leading to worse quality of life (QoL). Therefore, identifying a provocative test to diagnose an OXT-D will be important. Corticotropin-releasing hormone (CRH) is a candidate for such a test as it increases oxytocin secretion in animal models.
View Article and Find Full Text PDFIsland ecosystems, particularly vulnerable to environmental challenges, host many endangered native species. Diadromous fish, in particular, are threatened throughout their marine and freshwater habitats. The conservation of these species requires an in-depth understanding of their genetic diversity and structure, to better understand their adaptive potential.
View Article and Find Full Text PDFSleep Breath
January 2025
Department of Health Research Methods, Evidence and Impact (HEI), McMaster University, Hamilton, ON, Canada.
Purpose: A high proportion of obstructive sleep apnea (OSA) remains undiagnosed. The main objectives of this study were to measure the prevalence of diagnosed OSA and determine OSA predictors in patients who underwent bariatric surgery, who are predominantly female and pre-menopausal and represent an understudied population in OSA literature.
Methods: This was a cross-sectional population-based study using the Ontario Bariatric Registry (OBR) from 2010 to 2016, linked to ICES databases which include health administrative data on all encounters within a single public-payer system.
Arch Dermatol Res
January 2025
University of Mississippi Medical Center, Mississippi and JV "Sonny" Montgomery Veterans Hospital, Jackson, MS, USA.
Objectives: To examine the rate of skin color reporting in randomized controlled trials (RCTs) involving melanoma in the top ten highest dermatology journals by impact factor over the past four decades.
Methods: A systematic review of RCTs involving melanoma within the top ten dermatology journals, as determined by impact factor, was conducted from inception to July 10th, 2023. Studies were included if they reviewed the diagnosis and/or treatment of melanoma, were RCTs, directly involved patients and were written in English.
PLoS One
January 2025
Observational Health Data Analytics, Janssen Research and Development, LLC, Titusville, NJ, United States of America.
Objective: This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics.
Materials And Methods: The method is based on several diagnostic criteria to evaluate a patient cohort returned by a PA. Diagnostics include estimates of incidence rate, index date entry code breakdown, and prevalence of all observed clinical events prior to, on, and after index date.
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