Spatial access and resource limitations control carbon mineralization in soils

2021 ◽  
pp. 108427
Author(s):  
Kaizad F. Patel ◽  
A. Peyton Smith ◽  
Ben Bond-Lamberty ◽  
Sarah J. Fansler ◽  
Malak M. Tfaily ◽  
...  
Keyword(s):  
Carbon Mineralization ◽  
Spatial Access ◽  
Resource Limitations

scholarly journals P89 Patient reported comorbidity is not a reliable data source: a systematic review of the literature

BJS Open ◽  
2021 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
Chung Mun Alice Lin ◽  
Alexander Orman ◽  
Nicholas D Clement ◽  
David J Deehan ◽  
Chung M A Lin
Keyword(s):  
Medical Record ◽  
Meta Analysis ◽  
Analysis Data ◽  
Fundamental Factor ◽  
Resource Limitations ◽  
Patient Reported ◽  
Data Source ◽  
Reported Data ◽  
Operative Assessment ◽  
Source Of Information

Abstract Introduction There is currently an increased demand for elective orthopaedic surgery. However, due to the ever-growing financial, time and resource limitations, there is a pressing need to identify those who would benefit most from surgery but with the lowest risk of complications. Comorbidities are a fundamental factor in this decision and the traditional way to ascertain this is through medical record data abstraction during pre-operative assessment. However, this can be time consuming and expensive. We therefore set out to establish whether patient reported comorbidities are reliable as a principal source of information. Method Searches were performed on PubMed and Medline, and citations independently screened. Included studies were published between 2010 to 2020 assessing the reliability of at least one patient reported comorbidity against their medical record or clinical assessment as gold standard. Cohen’s kappa coefficient values were grouped into systems and a meta-analysis performed comparing the reliability between studies. Results Meta-analysis data showed poor-to-moderate reliability for diseases in cardiovascular, musculoskeletal, neurological and respiratory systems as well as for malignancy and depression. Endocrine diseases showed good-to-excellent reliability. Factors found to affect the concordance included sex, age, ethnicity, education, living alone, marital status, number or severity of comorbidities, mental health and disability. Conclusion Our study showed poor-to-moderate reliability for all systems except endocrine, consisting of thyroid disease and diabetes mellitus, which demonstrated good-to-excellent reliability. Although patient reported data is useful and can facilitate a complete pre-operative overview of the patient, it is not reliable enough to be used as a standalone measure.

Abiotic and biotic regulation on carbon mineralization and stabilization in paddy soils along iron oxide gradients

2021 ◽  
pp. 108312
Author(s):  
Peduruhewa H. Jeewani ◽  
Lukas Van Zwieten ◽  
Zhenke Zhu ◽  
Tida Ge ◽  
Georg Guggenberger ◽  
...  
Keyword(s):  
Iron Oxide ◽  
Carbon Mineralization ◽  
Paddy Soils

scholarly journals Long-Term Nitrogen Addition Decreases Soil Carbon Mineralization in an N-Rich Primary Tropical Forest

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 734
Author(s):  
Xiankai Lu ◽  
Qinggong Mao ◽  
Zhuohang Wang ◽  
Taiki Mori ◽  
Jiangming Mo ◽  
...  
Keyword(s):  
Microbial Biomass ◽  
Organic Carbon ◽  
Tropical Forest ◽  
Soil Carbon ◽  
Tropical Forests ◽  
Carbon Mineralization ◽  
N Deposition ◽  
Soil Carbon Mineralization ◽  
N Additions

Anthropogenic elevated nitrogen (N) deposition has an accelerated terrestrial N cycle, shaping soil carbon dynamics and storage through altering soil organic carbon mineralization processes. However, it remains unclear how long-term high N deposition affects soil carbon mineralization in tropical forests. To address this question, we established a long-term N deposition experiment in an N-rich lowland tropical forest of Southern China with N additions such as NH4NO3 of 0 (Control), 50 (Low-N), 100 (Medium-N) and 150 (High-N) kg N ha−1 yr−1, and laboratory incubation experiment, used to explore the response of soil carbon mineralization to the N additions therein. The results showed that 15 years of N additions significantly decreased soil carbon mineralization rates. During the incubation period from the 14th day to 56th day, the average decreases in soil CO2 emission rates were 18%, 33% and 47% in the low-N, medium-N and high-N treatments, respectively, compared with the Control. These negative effects were primarily aroused by the reduced soil microbial biomass and modified microbial functions (e.g., a decrease in bacteria relative abundance), which could be attributed to N-addition-induced soil acidification and potential phosphorus limitation in this forest. We further found that N additions greatly increased soil-dissolved organic carbon (DOC), and there were significantly negative relationships between microbial biomass and soil DOC, indicating that microbial consumption on soil-soluble carbon pool may decrease. These results suggests that long-term N deposition can increase soil carbon stability and benefit carbon sequestration through decreased carbon mineralization in N-rich tropical forests. This study can help us understand how microbes control soil carbon cycling and carbon sink in the tropics under both elevated N deposition and carbon dioxide in the future.

scholarly journals A recommendation and risk classification system for connecting rough sleepers to essential outreach services

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Harrison Wilde ◽  
Lucia L. Chen ◽  
Austin Nguyen ◽  
Zoe Kimpel ◽  
Joshua Sidgwick ◽  
...  
Keyword(s):  
Service Providers ◽  
Modern Society ◽  
Learning System ◽  
Extreme Weather Events ◽  
Resource Limitations ◽  
Modeling Process ◽  
The People ◽  
Weather Events ◽  
Outreach Services ◽  
Data Driven Approach

Abstract Rough sleeping is a chronic experience faced by some of the most disadvantaged people in modern society. This paper describes work carried out in partnership with Homeless Link (HL), a UK-based charity, in developing a data-driven approach to better connect people sleeping rough on the streets with outreach service providers. HL's platform has grown exponentially in recent years, leading to thousands of alerts per day during extreme weather events; this overwhelms the volunteer-based system they currently rely upon for the processing of alerts. In order to solve this problem, we propose a human-centered machine learning system to augment the volunteers' efforts by prioritizing alerts based on the likelihood of making a successful connection with a rough sleeper. This addresses capacity and resource limitations whilst allowing HL to quickly, effectively, and equitably process all of the alerts that they receive. Initial evaluation using historical data shows that our approach increases the rate at which rough sleepers are found following a referral by at least 15% based on labeled data, implying a greater overall increase when the alerts with unknown outcomes are considered, and suggesting the benefit in a trial taking place over a longer period to assess the models in practice. The discussion and modeling process is done with careful considerations of ethics, transparency, and explainability due to the sensitive nature of the data involved and the vulnerability of the people that are affected.

scholarly journals Spatial Access Matters: An Analysis of Policy Change and Its Effects on Avoidable Infant Mortality in Portugal

2021 ◽  
Vol 18 (3) ◽  
pp. 1242
Author(s):  
Morgan Weiland ◽  
Paula Santana ◽  
Claudia Costa ◽  
Julia Doetsch ◽  
Eva Pilot
Keyword(s):  
Infant Mortality ◽  
Access To Care ◽  
Qualitative Data ◽  
Policy Reform ◽  
Freedom Of Choice ◽  
Spatial Access ◽  
Spatial Inequalities ◽  
Organization Of Care ◽  
Maternal And Neonatal Health ◽  
Quantitative Spatial Analysis

In 2006, a policy reform restructured the maternal and perinatal healthcare system, including closing smaller maternity units, to further improve care in Portugal. This study aimed to investigate the effects of the 2006 National Program of Maternal and Neonatal Health policy on spatial inequalities in access to care and consequently avoidable infant mortality. A thematic analysis of qualitative data including interviews and surveys and a quantitative spatial analysis using Geographic Information Systems was applied. Spatial inequalities were found which may lead to avoidable infant mortality. Inequalities exist in freedom of choice and autonomy in care, within a medicalized system. Changes in approach to and organization of care would further enhance equitable spatial access to care in maternal health and reduce avoidable infant mortality.

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