59 research outputs found
Pulsed Electrical Field Ablation Modulation
This document comprises the steps taken by the senior project team to create a Proof-of-Concept Review for a Variable Pulsed Electric Field Ablation Catheter. First, the team did a significant amount of background research on related literature to better understand the current status of the project topic. After sufficient background information was obtained, project objectives and deliverables were finalized. Once customer requirements and the indications for use were completed, engineering specifications for the product and project were documented. All key customer requirements and engineering specs were related to the variable pulse functionality, maneuverability, as well as overall dimensioning of the final design. Before project development truly began, the project management timeline and budget were created to keep the project team accountable and on-schedule throughout the project term. The official design and development process began with generation of preliminary concepts that were analyzed via a morphology and Pugh Chart analysis. Once final design decisions were made, CAD and simulation development commenced and continued throughout the remainder of the project term. In addition to a final CAD model and proof-of-concept simulation, the project team also provided manufacturing recommendations for future groups who attempt to continue this project in the future. Overall, this proofof-concept document includes details about a pulsed electric field (PEF) ablation catheter that utilize electric waves to provide simultaneous delivery of variable electrical pulses to the heart tissue. Data and measurements taken from both a COMSOL simulation and SolidWorks model demonstrate that a complex PEF ablation catheter, such as the one presented in this document, is feasible in a clinical setting. Specifically, the catheter designed would be able to fit within human cardiovasculature while still having the ability to deliver selective variable pulses capable of ablation 2-4mm into surrounding heart tissue. The information provided in this proof-of-concept can be used by future groups to both manufacture an actual physical prototype as well as continue to augment the PEF COMSOL simulation presented
Risk of classic Kaposi sarcoma with exposures to plants and soils in Sicily
<p>Abstract</p> <p>Background</p> <p>Ecologic and in vitro studies suggest that exposures to plants or soil may influence risk of Kaposi sarcoma (KS).</p> <p>Methods</p> <p>In a population-based study of Sicily, we analyzed data on contact with 20 plants and residential exposure to 17 soils reported by 122 classic KS cases and 840 sex- and age-matched controls. With 88 KS-associated herpesvirus (KSHV) seropositive controls as the referent group, novel correlates of KS risk were sought, along with factors distinguishing seronegatives, in multinomial logistic regression models that included matching variables and known KS cofactors - smoking, cortisone use, and diabetes history. All plants were summed for cumulative exposure. Factor and cluster analyses were used to obtain scores and groups, respectively. Individual plants and soils in three levels of exposure with <it>P</it><sub>trend </sub>≤ 0.15 were retained in a backward elimination regression model.</p> <p>Results</p> <p>Adjusted for known cofactors, KS was not related to cumulative exposures to 20 plants [per quartile adjusted odds ratio (OR<sub>adj</sub>) 0.96, 95% confidence interval (CI) 0.73 - 1.25, <it>P</it><sub>trend </sub>= 0.87], nor was it related to any factor scores or cluster of plants (<it>P </it>= 0.11 to 0.81). In the elimination regression model, KS risk was associated with five plants (<it>P</it><sub>trend </sub>= 0.02 to 0.10) and with residential exposure to six soils (<it>P</it><sub>trend </sub>= 0.01 to 0.13), including three soils (eutric regosol, chromic/pellic vertisol) used to cultivate durum wheat. None of the KS-associated plants and only one soil was also associated with KSHV serostatus. Diabetes was associated with KSHV seronegativity (OR<sub>adj </sub>4.69, 95% CI 1.97 - 11.17), but the plant and soil associations had little effect on previous findings that KS risk was elevated for diabetics (OR<sub>adj </sub>7.47, 95% CI 3.04 - 18.35) and lower for current and former smokers (OR<sub>adj </sub>0.26 and 0.47, respectively, <it>P</it><sub>trend </sub>= 0.05).</p> <p>Conclusions</p> <p>KS risk was associated with exposure to a few plants and soils, but these may merely be due to chance. Study of the effects of durum wheat, which was previously associated with cKS, may be warranted.</p
ReSurveyEurope : A database of resurveyed vegetation plots in Europe
Aims: We introduce ReSurveyEurope — a new data source of resurveyed vegetation
plots in Europe, compiled by a collaborative network of vegetation scientists. We de-
scribe the scope of this initiative, provide an overview of currently available data,
governance, data contribution rules, and accessibility. In addition, we outline further
steps, including potential research questions.
Results: ReSurveyEurope includes resurveyed vegetation plots from all habitats.
Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual sur-
veys of each plot) from 79,190 plots sampled in 449 independent resurvey projects.
Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with
GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%)
plots are from studies in which plots from the initial survey could not be exactly
relocated. Four data sets, which together account for 28,470 (36%) plots, provide
only presence/absence information on plant species, while the remaining 50,720
(64%) plots contain abundance information (e.g., percentage cover or cover–abun-
dance classes such as variants of the Braun- Blanquet scale). The oldest plots were
sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950
and 2020.
Conclusions: ReSurveyEurope is a new resource to address a wide range of re-
search questions on fine-scale changes in European vegetation. The initiative is de-
voted to an inclusive and transparent governance and data usage approach, based
on slightly adapted rules of the well-established European Vegetation Archive (EVA).
ReSurveyEurope data are ready for use, and proposals for analyses of the data set
can be submitted at any time to the coordinators. Still, further data contributions are
highly welcom
ReSurveyEurope: A database of resurveyed vegetation plots in Europe
Abstract Aims We introduce ReSurveyEurope — a new data source of resurveyed vegetation plots in Europe, compiled by a collaborative network of vegetation scientists. We describe the scope of this initiative, provide an overview of currently available data, governance, data contribution rules, and accessibility. In addition, we outline further steps, including potential research questions. Results ReSurveyEurope includes resurveyed vegetation plots from all habitats. Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual surveys of each plot) from 79,190 plots sampled in 449 independent resurvey projects. Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%) plots are from studies in which plots from the initial survey could not be exactly relocated. Four data sets, which together account for 28,470 (36%) plots, provide only presence/absence information on plant species, while the remaining 50,720 (64%) plots contain abundance information (e.g., percentage cover or cover–abundance classes such as variants of the Braun‐Blanquet scale). The oldest plots were sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950 and 2020. Conclusions ReSurveyEurope is a new resource to address a wide range of research questions on fine‐scale changes in European vegetation. The initiative is devoted to an inclusive and transparent governance and data usage approach, based on slightly adapted rules of the well‐established European Vegetation Archive (EVA). ReSurveyEurope data are ready for use, and proposals for analyses of the data set can be submitted at any time to the coordinators. Still, further data contributions are highly welcome
<scp>ReSurveyEurope</scp>: A database of resurveyed vegetation plots in Europe
AbstractAimsWe introduce ReSurveyEurope — a new data source of resurveyed vegetation plots in Europe, compiled by a collaborative network of vegetation scientists. We describe the scope of this initiative, provide an overview of currently available data, governance, data contribution rules, and accessibility. In addition, we outline further steps, including potential research questions.ResultsReSurveyEurope includes resurveyed vegetation plots from all habitats. Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual surveys of each plot) from 79,190 plots sampled in 449 independent resurvey projects. Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%) plots are from studies in which plots from the initial survey could not be exactly relocated. Four data sets, which together account for 28,470 (36%) plots, provide only presence/absence information on plant species, while the remaining 50,720 (64%) plots contain abundance information (e.g., percentage cover or cover–abundance classes such as variants of the Braun‐Blanquet scale). The oldest plots were sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950 and 2020.ConclusionsReSurveyEurope is a new resource to address a wide range of research questions on fine‐scale changes in European vegetation. The initiative is devoted to an inclusive and transparent governance and data usage approach, based on slightly adapted rules of the well‐established European Vegetation Archive (EVA). ReSurveyEurope data are ready for use, and proposals for analyses of the data set can be submitted at any time to the coordinators. Still, further data contributions are highly welcome.</jats:sec
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