447 research outputs found
An Analysis of Invasive Species Management in the Niagara Region of Ontario, Canada: Establishment of a Database to Improve Knowledge Sharing
Worldwide, 17,000 invasive species drive biodiversity loss, and cost the global economy at least $1.4 trillion annually. The UN and Convention on Biological Diversity have declared invasive species a global initiative and requested increased data sharing on invasives. Existing worldwide and local databases focus on distribution, abundance, identification, and impacts of invasives, but not management activities. No database focuses on invasive management for the Niagara Region of Ontario, Canada. This study used sustainability science and the Ecosystem Approach Principles to guide the design of an invasive species management database. The goal of the study was to document current aquatic and riparian invasive management activities in the Niagara Region and develop a database that would become a tool to facilitate collaboration at the regional level. The objectives were to (1) inventory current invasive detection and control activities in the Niagara Region and make comparisons to recommended techniques in the literature; (2) examine perceived efficacy of control techniques; and (3) develop a database integrated with a GIS mapping component. Seventy-one organizations involved in riparian/aquatic invasive management in the Niagara Region were contacted and 16 were interviewed in-depth. In 2017/2018 there were 35 separate control efforts reported, involving 10 riparian invasives and two aquatic invasives, with most concentrated along the Niagara River. Collaboration efforts were minimal, occurring for only six specific projects. Recommendations from this study include: develop a regional invasive species plan; increase control efforts along the Welland Canal and Lake Erie shoreline; consider a wider variety of control techniques; and increase collaboration, information-sharing and resource-sharing among organizations. Overall, this database provides a baseline for the current state of aquatic and riparian invasive management activities in the Region, and can be used as a tool to identify resource-sharing opportunities, management efficacy, priority areas, areas of improvement, and future resource needs. This can help Niagara progress towards achieving Aichi Biodiversity Target 9 and the United Nation’s Sustainable Development Goal Target 15.8
The effect of the presence and familiarity of a dog on people’s performance of a stressful task
The purpose of the current study was to test whether the familiarity of a dog affects a person’s stress and task performance on a stressful task. Pets can improve people’s health mentally, physically, and socially. Dogs can lower people’s stress. This stress-reduction effect has been explained by the stress-buffering hypothesis. Dogs’ stress reducing capabilities have been applied with dog therapy in schools, hospitals, and with the elderly. In this study, dog-owning students performed mental arithmetic as a stressful task, with or without a dog present, during which their heart rate was measured as a stress indicator. The independent variables were the familiarity of the dog (familiar dog, unfamiliar dog, or no dog (control)) and the identity of the unfamiliar dog (Cash or Lucy). Dependent variables included heart rate reactivity (a measure of stress) and task performance (math score and number of subtractions completed). It was predicted that a familiar dog would reduce a person’s stress and improve their task performance more than an unfamiliar dog or no dog. Overall, the predictions were not supported. Familiar dogs did not reduce people’s stress more than unfamiliar dogs or no dogs. Additionally, familiar dogs did not significantly enhance task performance over unfamiliar dogs or no dogs. The potential stress-reduction effect of dogs may be specific to the home environment, and specific groups of people. This study suggests that dog therapy may only be effective in certain conditions, or may not be effective at all
Descriptions and Differences by Regions and Divisions in the United States: Female Secondary School Administrative Leaders
This ex post facto comparative, non-experimental study investigated the demographics and characteristics of female secondary school administrative leaders (N = 1,068) to determine if the community types, individual characteristics, school leader characteristics, and school characteristics varied by regions and divisions in the United States. To determine the demographics and characteristics of female secondary school administrative leaders, survey data from the National Teacher and Principal Survey (NTPS) from the 2017-2018 school year published by the National Center for Educational Statistics (NCES) data were analyzed in this study. The results of this study indicate that there were statistically significant differences among female secondary school administrative leaders regarding community type, race, ethnicity, participation in an aspiring administrator program, experience as a department chair, highest degree earned, school size, and working at schools accessing Title 1 funding by regions and divisions in the United States
An analysis of aquatic invasive species management in the Niagara region of Ontario, Canada: establishment of a database to improve knowledge sharing
The UN Convention on Biological Diversity has declared invasive species a global threat and requested increased data sharing to prevent further impact. Existing worldwide and local databases mainly focus on distribution, abundance, identification, and impacts of invasive species, but very few record management activities. In the Niagara region of Ontario, Canada, no database focuses specifically on invasive species management. The goal of this study was to document current aquatic and riparian invasive species management activities in the Niagara region and develop a database that would become a tool to facilitate collaboration at the regional level. The objectives were to (1) inventory current invasive species detection and control activities in the Niagara region; (2) examine perceived efficacy of control techniques; and (3) develop a database integrated with a GIS mapping component. Seventy-one organizations involved in riparian/aquatic invasive species management in the Niagara region were contacted and 16 in-depth interviews were conducted. In 2017–2018, 35 separate control efforts were reported, involving 10 riparian invasive species and two aquatic invasive species, mostly concentrated along the Niagara River. Collaboration efforts were minimal, occurring for only six specific projects. Recommendations include develop a regional invasive species plan; increase control efforts along the Welland Canal and Lake Erie shoreline; adopt a wider variety of control techniques; and increase collaboration, information-sharing and resource-sharing among organizations. Overall, the newly developed database provides a baseline for the current state of aquatic and riparian invasive species management activities in the region. It can also help bridge the gap between invasive species science and decision-making by forming a tool to identify resource-sharing opportunities, management efficacy, priority areas, areas of improvement, and future resource needs. The database will enrich the global invasive species information network by providing Niagara-specific information. The database could also act as a model for tracking management activities of other invasive species and in other regions of North America
Exploring the role of pain as an early predictor of category 2 pressure ulcers: a prospective cohort study
Objective To explore pressure area related pain as a predictor of category ≥2 pressure ulcer (PU) development.
Design Multicentre prospective cohort study.
Setting UK hospital and community settings.
Participants inclusion Consenting acutely ill patients aged ≥18 years, defined as high risk (Braden bedfast/chairfast AND completely immobile/very limited mobility; pressure area related pain or; category 1 PU).
Exclusion Patients too unwell, unable to report pain, 2 or more category ≥2 PUs.
Follow-up Twice weekly for 30 days.
Primary and secondary outcome measures Development and time to development of one or more category ≥2 PUs.
Results Of 3819 screened, 1266 were eligible, 634 patients were recruited, 32 lost to follow-up, providing a 602 analysis population. 152 (25.2%) developed one or more category ≥2 PUs. 464 (77.1%) patients reported pressure area related pain on a healthy, altered or category 1 skin site of whom 130 (28.0%) developed a category ≥2 PU compared with 22 (15.9%) of those without pain. Full stepwise variable selection was used throughout the analyses. (1) Multivariable logistic regression model to assess 9 a priori factors: presence of category 1 PU (OR=3.25, 95% CI (2.17 to 4.86), p<0.0001), alterations to intact skin (OR=1.98, 95% CI (1.30 to 3.00), p=0.0014), pressure area related pain (OR=1.56, 95% CI (0.93 to 2.63), p=0.0931). (2) Multivariable logistic regression model to account for overdispersion: presence of category 1 PU (OR=3.20, 95% CI (2.11 to 4.85), p<0.0001), alterations to intact skin (OR=1.90, 95% CI (1.24 to 2.91), p=0.0032), pressure area related pain (OR=1.85, 95% CI (1.07 to 3.20), p=0.0271), pre-existing category 2 PU (OR=2.09, 95% CI (1.35 to 3.23), p=0.0009), presence of chronic wound (OR=1.66, 95% CI (1.06 to 2.62), p=0.0277), Braden activity (p=0.0476). (3) Accelerated failure time model: presence of category 1 PU (AF=2.32, 95% CI (1.73 to 3.12), p<0.0001), pressure area related pain (AF=2.28, 95% CI (1.59 to 3.27), p<0.0001). (4) 2-level random-intercept logistic regression model: skin status which comprised 2 levels (versus healthy skin); alterations to intact skin (OR=4.65, 95% CI (3.01 to 7.18), p<0.0001), presence of category 1 PU (OR=17.30, 95% CI (11.09 to 27.00), p<0.0001) and pressure area related pain (OR=2.25, 95% CI (1.53 to 3.29), p<0.0001).
Conclusions This is the first study to assess pain as a predictor of category ≥2 PU development. In all 4 models, pain emerged as a risk factor associated with an increased probability of category ≥2 PU development
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Understanding the impact of climate change on snowpack extent and measurement in the Columbia River Basin and nested sub basins
Shifting climate patterns in the Columbia River basin are affecting snow pack, and, as a result, stream flow throughout the region. In the Oregon Cascades, ever growing populations, and their associated activities, place increasing stress on an already over allocated hydrologic system. Political pressures, including the possibility of renegotiation or termination of the Columbia River Treaty between the United States and Canada; societal pressures, including a desire for ecosystem services and fish habitat; and economic pressures, including a need for adequate streamflow for hydropower generation and irrigation, all necessitate a better understanding of current and future snow pack. This work focuses on analyzing the ability of the current snowpack measurement system to represent and capture snowpack in the Columbia River basin and its sub basins under both today’s climate and future climates. In addition, this work develops a more comprehensive knowledge of the impact climate warming will have on snow-covered areas across the region.
To determine the efficacy of current snow water equivalence (SWE) measurement sites, the locations and characteristics of sites in the McKenzie River Basin, a sub basin of the Columbia River basin, were considered. SWE was distributed through the basin using the physically based model, SnowModel. SWE values at the four SNOTEL sites in the basin ranged from 0.18-0.37 m at peak SWE. Three of the sites had SWE values greater than 180% of average SWE of the snow covered area. Using elevation, aspect and slope, a 16-node binary regression tree explained controlling variables on SWE at the basin scale. As expected, elevation is the primary determinant in SWE distribution, however, the influence of different parameters shifted throughout the accumulation and ablation seasons.
Updated high resolution PRISM precipitation and temperature data are used to map areas within the Columbia River basin and two nested sub basins that are at risk of turning from winter snow dominated precipitation regimes to winter rain dominated under warming scenarios ranging from 1-3°C. Within the Columbia River basin, the Oregon Cascades exhibit the greatest degree of sensitivity to changes in precipitation. Under a 2°C warming scenario, an increase that the International Panel on Climate Change finds highly likely to occur within the next 30 years, 30% of current-day snow covered area in Oregon’s Willamette River Basin will be at risk of turning from snow to rain. The water storage that will be lost if such a change does occur (0.73 km3) is equivalent to more than 8 months worth of water at the current rate of water use in the basin. Data from nine regional stations in the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) Cooperative Observer Program were used to validate placement of snow by the model.
The conclusions of this work suggest that the placement of snow measurement sites requires refinement and improvement if the measurements are to accurately represent basin wide snowpack today and in the future. Water and natural resource managers will find the results presented here useful for siting future measurement locations that capture and represent SWE during times of interest. While political, societal and economic pressures will only increase, these findings provide early steps for the creation of a more robust system that has the potential to help stakeholders make informed decisions about their water resources, their communities and their needs.Keywords: representativeness, SNOTEL, Columbia River Basin, snowpac
Inverted Fluorescence Microscope
The Inverted Fluorescence Microscope senior project team at Cal Poly, San Luis Obispo designed, assembled, and tested a proof-of-concept inverted fluorescence microscope for the university’s Microfabrication Laboratory. Administrators of the laboratory wished to use fluorescence for research and experiments involving cell growth and flow visualization on the micro-scale, and did not have the budget to purchase one of the costly commercially available options. The scope of this design challenge was to produce a low-cost inverted fluorescence microscope employing available optical components and additional readily sourced parts to expand the use of fluorescence microscopy accessible to undergraduate students in the Microfabrication Laboratory.
This document is an account of the final microscope design as well as the engineering design process, project management procedures, and timeline followed to produce a working design verification prototype. The final product successfully resolved images of microfluidic devices in brightfield mode with automated maneuverability in the X-Y plane. It is equipped with fluorescence capabilities, and will serve as a valuable, low-cost research tool and platform for future student projects
Learning Management System Adoption by Academics
An academic’s adoption of online learning during the 2020 lockdown required new levels of engagement with the learning management system (LMS). In this position piece, we suggest that academics are pivotal to online course development, and they should determine alternative means of instruction and assessment during any transition to online learning. We present two models of an academic’s interactions with the LMS and propose that the academic’s engagement with the LMS, and their willingness to be in partnership with experts in e-learning, should remain central to their university’s strategic development. The 2020 lockdown presented both challenges and opportunities to academics regarding their engagement with the LMS and online teaching—we suggest that the role of the academic is critical for successful implementation of the post-pandemic online ambitions of New Zealand universities
Learning Management System Adoption by Academics
An academic’s adoption of online learning during the 2020 lockdown required new levels of engagement with the learning management system (LMS). In this position piece, we suggest that academics are pivotal to online course development, and they should determine alternative means of instruction and assessment during any transition to online learning. We present two models of an academic’s interactions with the LMS and propose that the academic’s engagement with the LMS, and their willingness to be in partnership with experts in e-learning, should remain central to their university’s strategic development. The 2020 lockdown presented both challenges and opportunities to academics regarding their engagement with the LMS and online teaching—we suggest that the role of the academic is critical for successful implementation of the post-pandemic online ambitions of New Zealand universities
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Regional Invasive Species & Climate Change Management Challenge: Out of Control? The Effects of Climate Change on Biological Control Agents and their Target Hosts
Biocontrol is an important management tool that utilizes one species (a biocontrol agent) to control another (a target host) and can be an effective approach for controlling populations of invasive species across broad spatial scales. Most strategies of biocontrol involve introducing or supplementing natural predator, herbivore, parasitoid, or pathogen populations to reduce populations of target hosts. A successful biocontrol program results in the suppression (but not eradication) of target host populations across the landscape by reducing host abundance, reproductive output, or vigor. Climate change is complicating biocontrol. Biocontrol agents must have a clear ecological and/or evolutionary relationship with their target host in order to control populations effectively and avoid impacting non-target species. Climate-induced changes in phenology (timing of life events), morphology (form/structure), movement/behavior, physiology, and reproduction/development may differently affect the survival, reproduction, and performance/efficacy of both biocontrol agents and their hosts. There are growing concerns that mismatches between how biocontrol agents and their hosts respond to climate change could alter the efficacy of current and future biocontrol programs
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