How Much Energy Storage can We Afford? On the Need for a Sunflower Society, Aligning Demand with Renewable Supply.
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ABSTRACT: Supplementary information
The online version contains supplementary material available at 10.1007/s41247-022-00097-y.
SUBMITTER: Desing H
PROVIDER: S-EPMC9113673 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Studies that assess the distribution of benefits provided by ecosystem services across urban areas are increasingly common. Nevertheless, current knowledge of both the supply and demand sides of ecosystem services remains limited, leaving a gap in our understanding of balance between ecosystem service supply and demand that restricts our ability to assess and manage these services. The present study seeks to fill this gap by developing and applying an integrated approach to quantifying the supply and demand of a key ecosystem service, carbon storage and sequestration, at the local level. This approach follows three basic steps: (1) quantifying and mapping service supply based upon Light Detection and Ranging (LiDAR) processing and allometric models, (2) quantifying and mapping demand for carbon sequestration using an indicator based on local anthropogenic CO2 emissions, and (3) mapping a supply-to-demand ratio. We illustrate this approach using a portion of the Twin Cities Metropolitan Area of Minnesota, USA. Our results indicate that 1735.69 million kg carbon are stored by urban trees in our study area. Annually, 33.43 million kg carbon are sequestered by trees, whereas 3087.60 million kg carbon are emitted by human sources. Thus, carbon sequestration service provided by urban trees in the study location play a minor role in combating climate change, offsetting approximately 1% of local anthropogenic carbon emissions per year, although avoided emissions via storage in trees are substantial. Our supply-to-demand ratio map provides insight into the balance between carbon sequestration supply in urban trees and demand for such sequestration at the local level, pinpointing critical locations where higher levels of supply and demand exist. Such a ratio map could help planners and policy makers to assess and manage the supply of and demand for carbon sequestration.
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Project description:Scientific investigations in medicine and beyond increasingly require observations to be described by more features than can be simultaneously visualized. Simply reducing the dimensionality by projections destroys essential relationships in the data. Similarly, traditional clustering algorithms introduce data bias that prevents detection of natural structures expected from generic nonlinear processes. We examine how these problems can best be addressed, where in particular we focus on two recent clustering approaches, Phenograph and Hebbian learning clustering, applied to synthetic and natural data examples. Our results reveal that already for very basic questions, minimizing clustering bias is essential, but that results can benefit further from biased post-processing.This article is part of the themed issue 'Mathematical methods in medicine: neuroscience, cardiology and pathology'.
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Project description:Purpose: This research examined the association between the distribution of physiotherapists in Saskatchewan relative to population health characteristics and self-reported physiotherapy use. Methods: Using a cross-sectional design, de-identified data were collected from the 2013 Saskatchewan College of Physical Therapy membership renewals (n=643), and Saskatchewan population health characteristics data were obtained from the 2009-2012 Canadian Community Health Surveys (CCHSs). Age- and sex-adjusted proportions of selected population health characteristics were calculated and stratified by health region and rural-urban location; both were determined, for physiotherapists and CCHS participants, using postal codes. The association between physiotherapy distribution and physiotherapy use was calculated, and geospatial mapping techniques were used to display physiotherapist distribution across the province relative to population health characteristics. Results: Across health regions, a positive correlation (r=0.655, p<0.029) was found between physiotherapist distribution and self-reported physiotherapy use. Mapping population health characteristics according to physiotherapist distribution demonstrated an imbalance between supply and distribution of physiotherapists and population health needs and demands. Conclusion: There is a discrepancy in Saskatchewan among the distribution of physiotherapists, self-reported physiotherapy use, and population health characteristics, especially in rural settings. These findings provide insight into which areas are in need of increased physiotherapy services.
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Project description:BackgroundOver 25 million US inhabitants are limited English proficient (LEP). It is unknown whether physicians fluent in non-English languages are training in geographic areas with the highest proportion of LEP people. Diversity of language ability in the physician workforce is an important complement to language assistance services for providing quality care to LEP patients.ObjectiveTo determine whether non-English language-speaking resident physicians matched in the geographic areas where language skills are needed.DesignCross-sectional study.ParticipantsPostgraduate medical training applicants to the Association of American Medical College's Electronic Residency Application Service in 2013-2014 (n = 50,766). We included data from the Graduate Medical Education Track database, mapped against American Community Survey data.InterventionsN/A.Main measuresWe assessed the geographic alignment of non-English language-speaking resident physicians relative to the distribution of the LEP-speaking population.Key resultsWhile 37% of resident physicians spoke at least one non-English language, in most cases the languages they spoke were not those in greatest need by the US LEP population. LEP speakers' potential exposure to non-English language-speaking residents varied. For Spanish, the language with the lowest national resident physician to Spanish LEP patient ratio, the ratio was most favorable in New York at 23.7/100,000 LEP population versus 5.1 in Los Angeles. For Tagalog, the group with the highest geographic mismatch, the ratio was 70.4 in New York but 0 in San Diego, San Jose, and Seattle. Among the top five LEP languages in the USA, Chinese-speaking resident physicians were the most geographically matched.ConclusionsWe found considerable misalignment of the geographic distribution of non-English language-speaking resident physicians relative to the distribution of the LEP-speaking population. Residency programs in areas of high need could consider better matching the non-English language needs of their community with the language abilities of the resident physicians they are recruiting.
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Project description:With limited international resources for family planning, donors must decide how to allocate their funds to different countries. How can a donor for family planning decide whether countries are adequately prioritized for funding? This article proposes an ordinal ranking framework to identify under-prioritized countries by rank-ordering countries by their need for family planning and separately rank-ordering them by their development assistance for family planning. Countries for which the rank of the need for family planning is lower than the rank of its funding are deemed under-prioritized. We implement this diagnostic methodology to identify under-prioritized countries that have a higher need but lower development assistance for family planning. This approach indicates whether a country is receiving less compared to other countries with similar levels of need.
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Project description:Over the last decade, there has been a renewed interest in oral health workforce planning. The purpose of this review is to examine oral health workforce planning models on supply, demand and needs, mainly in respect to their data sources, modelling technique and use of skill mix. A limited search was carried out on PubMed and Web of Science for published scientific articles on oral health workforce planning models between 2010 to 2020. No restrictions were placed on the type of modelling philosophy, and all studies including supply, demand or needs based models were included. Rapid review methods guided the review process. Twenty-three studies from 15 countries were included in the review. A majority were from high-income countries (n = 17). Dentists were the sole oral health workforce group modelled in 13 studies; only five studies included skill mix (allied dental personnel) considerations. The most common application of modelling was a workforce to population ratio or a needs-based demand weighted variant. Nearly all studies presented weaknesses in modelling process due to the limitations in data sources and/or non-availability of the necessary data to inform oral health workforce planning. Skill mix considerations in planning models were also limited to horizontal integration within oral health professionals. Planning for the future oral health workforce is heavily reliant on quality data being available for supply, demand and needs models. Integrated methodologies that expand skill mix considerations and account for uncertainty are essential for future planning exercises.
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