ECONOMIC IMPACTS RESULTING FROM CO-FIRING BIOMASS FEEDSTOCKS IN SOUTHEASTERN UNITED STATES COAL-FIRED PLANTS

Economic impacts of using biomass in Southeast United States coal-fired plants are estimated using a county-level biomass database; ORCED, a dynamic electricity distribution model that estimates feedstock value; ORIBAS, a GIS model that estimates feedstock transportation costs; and IMPLAN, an input-output model that determines the impacts of co-firing on economic activity.Resource /Energy Economics and Policy,

Subgingival Microbiome and Specialized Pro-Resolving Lipid Mediator Pathway Profiles Are Correlated in Periodontal Inflammation

Failure of resolution pathways in periodontitis is reflected in levels of specialized pro-resolving lipid mediators (SPMs) and SPM pathway markers but their relationship with the subgingival microbiome is unclear. This study aimed to analyze and integrate lipid mediator level, SPM receptor gene expression and subgingival microbiome data in subjects with periodontitis vs. healthy controls. The study included 13 periodontally healthy and 15 periodontitis subjects that were evaluated prior to or after non-surgical periodontal therapy. Samples of gingival tissue and subgingival plaque were collected prior to and 8 weeks after non-surgical treatment; only once in the healthy group. Metabololipidomic analysis was performed to measure levels of SPMs and other relevant lipid mediators in gingiva. qRT-PCR assessed relative gene expression (2-ΔΔCT) of known SPM receptors. 16S rRNA sequencing evaluated the relative abundance of bacterial species in subgingival plaque. Correlations between lipid mediator levels, receptor gene expression and bacterial abundance were analyzed using the Data Integration Analysis for Biomarker discovery using Latent cOmponents (DIABLO) and Sparse Partial Least Squares (SPLS) methods. Profiles of lipid mediators, receptor genes and the subgingival microbiome were distinct in the three groups. The strongest correlation existed between lipid mediator profile and subgingival microbiome profile. Multiple lipid mediators and bacterial species were highly correlated (correlation coefficient ≥0.6) in different periodontal conditions. Comparing individual correlated lipid mediators and bacterial species in periodontitis before treatment to healthy controls revealed that one bacterial species, Corynebacterium durum, and five lipid mediators, 5(S)6(R)-DiHETE, 15(S)-HEPE, 7-HDHA, 13-HDHA and 14-HDHA, were identified in both conditions. Comparing individual correlated lipid mediators and bacterial species in periodontitis before treatment to after treatment revealed that one bacterial species, Anaeroglobus geminatus, and four lipid mediators, 5(S)12(S)-DiHETE, RvD1, Maresin 1 and LTB4, were identified in both conditions. Four Selenomonas species were highly correlated with RvD1, RvE3, 5(S)12(S)-DiHETE and proinflammatory mediators in the periodontitis after treatment group. Profiles of lipid mediators, receptor gene and subgingival microbiome are associated with periodontal inflammation and correlated with each other, suggesting inflammation mediated by lipid mediators influences microbial composition in periodontitis. The role of correlated individual lipid mediators and bacterial species in periodontal inflammation have to be further studied

Distinct Profiles of Specialized Pro-resolving Lipid Mediators and Corresponding Receptor Gene Expression in Periodontal Inflammation

Polyunsaturated fatty acid-derived specialized pro-resolving lipid mediators (SPMs) play an important role in modulating inflammation. The aim of the study was to compare profiles of SPMs, SPM related lipid mediators and SPM receptor gene expression in gingiva of subjects with periodontitis to healthy controls. A total of 28 subjects were included; 13 periodontally healthy and 15 periodontitis before or after non-surgical periodontal therapy. Gingival tissues were collected from two representative posterior teeth prior to and 8 weeks after scaling and root planning; only once in the healthy group. Lipid mediator-SPM metabololipidomics was performed to identify metabolites in gingiva. qRT-PCR was performed to assess relative gene expression (

The Lantern Vol. 63, No. 1, Fall 1995

• The Birthday Celebration • Surprise! Surprise! • Oregold • Future of Parenthood #2 • Seeds • How I Spent My Summer Vacation • Random Scenes From 1/2 Hour at Work • Life in the Coal Mines • Driveway • Midnight in the Court of Kings • The Black Quadrilateral • People I Hate to See, But Refuse to Dismiss • Metropolized • Poetry in Motion • Dream #3 • Rhythms • Mercykilling • Untitled • Lupine Lord • At the Bottom of the Cup • House of Commons • Poetry I Can\u27t Standhttps://digitalcommons.ursinus.edu/lantern/1147/thumbnail.jp

Federated Identity Management for Research Collaborations

This white-paper expresses common requirements of Research Communities seeking to leverage Identity Federation for Authentication and Authorisation. Recommendations are made to Stakeholders to guide the future evolution of Federated Identity Management in a direction that better satisfies research use cases. The authors represent research communities, Research Services, Infrastructures, Identity Federations and Interfederations, with a joint motivation to ease collaboration for distributed researchers. The content has been edited collaboratively by the Federated Identity Management for Research (FIM4R) Community, with input sought at conferences and meetings in Europe, Asia and North America

Economic Impacts of Carbon Taxes and Biomass Feedstock Usage in Southeastern United States Coal Utilities

The Southeastern United States depends on coal to supply 60% of its electricity needs. The region leads in CO2 emissions and ranks second in emissions of SO2 and NO2. Compared with coal, biomass feedstocks have lower emission levels of sulfur or sulfur compounds and can potentially reduce nitrogen oxide emissions. This study examines the economic impacts of cofiring level scenarios. Economic impacts are estimated for producing, collecting, and transporting feedstock; retrofitting coal-fired utilities for burning feedstock; operating cofired utilities; and coal displaced from burning the feedstock

Economic Impacts of Carbon Taxes and Biomass Feedstock Usage in Southeastern United States Coal Utilities

The Southeastern United States depends on coal to supply 60% of its electricity needs. The region leads in CO2 emissions and ranks second in emissions of SO2 and NO2. Compared with coal, biomass feedstocks have lower emission levels of sulfur or sulfur compounds and can potentially reduce nitrogen oxide emissions. This study examines the economic impacts of cofiring level scenarios. Economic impacts are estimated for producing, collecting, and transporting feedstock; retrofitting coal-fired utilities for burning feedstock; operating cofired utilities; and coal displaced from burning the feedstock.Resource /Energy Economics and Policy, Q42, R15,

ECONOMIC IMPACTS RESULTING FROM CO-FIRING BIOMASS FEEDSTOCKS IN SOUTHEASTERN UNITED STATES COAL-FIRED PLANTS

Economic impacts of using biomass in Southeast United States coal-fired plants are estimated using a county-level biomass database; ORCED, a dynamic electricity distribution model that estimates feedstock value; ORIBAS, a GIS model that estimates feedstock transportation costs; and IMPLAN, an input-output model that determines the impacts of co-firing on economic activity