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Cullen, Michelle; Topps, David 2022-06-06 Welcome to today's scenario. We will again be using a virtual patient to explore some issues in mental health communications. The cases will work best for you if treat this virtual patient as you would a real patient. Paula is a 39-year-old female who is currently employed at the Foothills ICU where she has worked for the past two years after moving from Red Deer. She has been an RN for 10 years. She is recently divorced with two kids, ages 11 and 14. Her kids used to stay with her every other week, but due to the covid pandemic she sees them less often. Prior to her divorce, Paula was drinking two to three glasses of wine each week but following the divorce she started to drink a glass of wine with dinner every other night. README on what to do with these files ----------------------------------------------- You have downloaded an OLab zip file. See the second zip file contained within this download. Extract it and save it as a single zip file so this can be imported into an existing OpenLabyrinth v3 or OLab4 server. You do not need to expand this second zip file -- the import process will expand the contents into the correct locations on the OLab server. What are OLab scenarios? An OLab virtual scenario is a case or story, or it might be a wee test to challenge your learners. It might be a simple 3-step set of pages and questions. It might be a complex choose-your-own-adventure style of branching narrative. Why do I need an OLab server? To simply play the original scenario, look at the metadata in the Dataverse that you downloaded this zip from. There will be a link to a playable version - for this, you only need a web browser. (No software download needed.) But if you want to be able to edit the scenario, examine how it was crafted or use it as a template on which to build a new one, you start with this zip file and import it into an OLab server. You will need an account on that OLab server that gives you author privileges. If you do not have an account, contact us using the contact information given in the metadata in the Dataverse. How do I import this scenario into an OLab server? There are more detailed instructions available in the OLab User Guide. Briefly the steps are as follows: 1. Login to your OLab server as usual. 2. Under the Labyrinths or Maps menu, click on Import 3. Tell the server which zip file to import. 4. It should only take a few seconds to import most zip files. More complex scenarios might take a couple of minutes at most. 5. When imported, the scenario should appear in your list of Labyrinths or Maps.
University of Calgary Prism Logo
Smith, Heidi; Rich, Cameron; Bensler, Nathan; Cullen, Michelle; Topps, David 2022-06-06 Indigenous youth and Heroin addiction Welcome to today's scenario. We will be using a virtual patient to explore some issues in mental health communications. This case will work best if you treat this virtual patient as you would a real patient. This case study includes content related to mental illness and addictions. Sometimes these discussions can trigger personal experiences. If you need support please reach out to your family, physician, local distress center, or if this is an emergency please go to your local emergency department. Chariti is a 15-year-old female who is currently living in a group home and is not attending school. Chariti has an ACE score of 10/10. Chariti grew up on the Siksika reserve with her parents and younger sister. Chariti’s parents are 60’s scoop survivors. Chariti’s 12-year-old sister Angel went missing 18 months ago and is presumed to be murdered. Chariti has also lost 10 community members this year to vio README on what to do with these files ----------------------------------------------- You have downloaded an OLab zip file. See the second zip file contained within this download. Extract it and save it as a single zip file so this can be imported into an existing OpenLabyrinth v3 or OLab4 server. You do not need to expand this second zip file -- the import process will expand the contents into the correct locations on the OLab server. What are OLab scenarios? An OLab virtual scenario is a case or story, or it might be a wee test to challenge your learners. It might be a simple 3-step set of pages and questions. It might be a complex choose-your-own-adventure style of branching narrative. Why do I need an OLab server? To simply play the original scenario, look at the metadata in the Dataverse that you downloaded this zip from. There will be a link to a playable version - for this, you only need a web browser. (No software download needed.) But if you want to be able to edit the scenario, examine how it was crafted or use it as a template on which to build a new one, you start with this zip file and import it into an OLab server. You will need an account on that OLab server that gives you author privileges. If you do not have an account, contact us using the contact information given in the metadata in the Dataverse. How do I import this scenario into an OLab server? There are more detailed instructions available in the OLab User Guide. Briefly the steps are as follows: 1. Login to your OLab server as usual. 2. Under the Labyrinths or Maps menu, click on Import 3. Tell the server which zip file to import. 4. It should only take a few seconds to import most zip files. More complex scenarios might take a couple of minutes at most. 5. When imported, the scenario should appear in your list of Labyrinths or Maps.
University of Calgary Prism Logo
Myhre, Doug; Hecker, Kent; Topps, David; Wirun, Corey; Ellaway, Rachel 2022-04-22 As a term, a ‘graph’ in mathematics is a shortening of ‘graphic formula’, essentially an image showing how a formula works visually rather than symbolically. The term ‘graphic’ comes from the Greek (via Latin ‘graphos’ meaning to write or draw). In English, words ending in -graphy reflect a sense of writing or otherwise representing something such that it involves representation for study. This is compared with -logy words which are to do with the study of something – biology is the study of life, biography is writing or representing one or more lives. Geology would be the study of rocks, geography is about representing or recording the earth. A graph then is a representation, an image, a recording, a visual abstraction.
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Robinson, Christina; Dawson, Peter; Boie, Finn 2023-01-12 This dataset contains seventeen (17) point clouds of the Moose Hill Ranch Residence. The data was collected by the Capture2Preserv team on August 4th, 2022. The Z+F 5010X scanner captured the exterior with sixteen (16) scans which were registered in Z+F Laser Control Scout. The Leica BLK 360 was used to capture as much of the interior as safely as possible and captured a total of eleven (11) scans. Due to the incomplete nature of the interior the registration was an issue and has therefore been combined into a single point cloud. The interior scans were registered on-site with Cyclone Field 360 and then combined with the Z+F 5010X data in AutoDesk ReCap Pro. Published under the Creatives Common License CC BY-NC 4.0.
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Robinson, Christina; Dawson, Peter 2023-01-12 This data set is the metadata for the twenty-seven (27) scans of the Moose Hill Ranch Residence, Rocky Mountain View County. All data was captured by the Capture2Presev team on the 4th August, 2022. The Z+F 5010X scanner captured the exterior with sixteen (16) scans which were registered in Z+F Laser Control Scout. The Leica BLK 360 was used to capture as much of the interior as safely as possible and captured a total of eleven (11) scans. Due to the incomplete nature of the interior the registration was an issue and has therefore been combined into a single point cloud. The interior scans were registered on-site with Cyclone Field 360 and then combined with the Z+F 5010X data in AutoDesk ReCap Pro. Published under the Creatives Common License CC BY-NC 4.0.
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Robinson, Christina; Dawson, Peter; O'Keefe, Katelyn 2021-11-18 Published under the Creatives Common License CC BY-NC 4.0. This data set contains the metadata of the twenty-one (21) scans of the Northern Whaling and Trading Company Shed, Herschel Island. All data was captured by the Capture2Presev team. Fifteen (15) scans were collected on the exterior and six (6) scans of the interior with the Leica BLK 360 on the 16th August, 2019 and registered with AutoDesk ReCap Mobile and Pro V.6.1.
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Osthoff, Hans 2022-11-15 Original (raw) data files to accompany the manuscript submitted to Atmospheric Chemistry and Physics Discussions (ACPD), titled "Measurements of Henry's law and liquid-phase loss rate constants of peroxypropionic nitric anhydride (PPN) in deionized water and in n-octanol", Atmos. Chem. Phys. Discuss, in review (2022) https://doi.org/10.5194/acp-2022-587.
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Wright, Hannah 2020-12-15 <i>Mermaids and Narwhals</i> is a physical card game designed to teach common binary string manipulations to the players. This dataset is provided to both educators interested in using the game in their classrooms and researchers interested in expanding on or exploring the relevant research.
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Topps, David 2021-01-26 Learners in difficulty, when challenged about a less-than-satisfactory performance or behaviour, are increasingly demanding evidence to support such an evaluation. Documentation of specifics, or lack thereof, is often cited when the learner objects or litigates against an assessment. We need better ways of capturing such incidents within the daily clinical workflow.
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Robinson, Christina; Dawson, Peter 2020-10-30 Published under the Creatives Common License CC BY-NC 4.0. This data set contains twelve (12) files (.tif, .twf, .prj) that create the Normalized Difference Vegetation Index (NDVI) imagery of sites EaPd-07 and EaPd-08. This imagery was produced from 1860 images collected by the DJI Phantom 4 and Parrot Sequoia sensor, collected by the Capture2Preserv team between May and June 2018.
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Kline, Gregory 2020-11-02 Supplemental Figure 1: Correlation of aldosterone/cortisol (A/C) ratios measured pre- or post-cosyntropin infusion, sampled from successfully catheterized adrenal veins (selectivity index > 2) or femoral sheath/inferior vena cava (IVC) after exclusion of suspected cortisol co-secretors. Supplemental Figure 2: Correlation of adrenal vein sampling lateralization indices in repeat, technically successful sets of adrenal vein sampling, after excluding suspected cortisol co-secretors. Supplemental Material: Case summaries for possible cortisol co-secretors
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Keeley, James F. 2018-10-19 Volume 3 Afghanistan, Albania, Algeria, Argentina, Armenia, Australia, Austria, Bahrain, Bangladesh, Belarus, Belgium, Belgo-Luxembourg Economic Union, Bolivia, Bosnia, Brazil, Bulgaria, Canada, Central African Republic, Chile, China (PRC), China (ROC), Colombia, Costa Rica, Croatia, Cuba, Czech Republic (Czechoslovakia), Denmark, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, European Union (Euratom, European Community, European Economic Community, European Commission), Finland, France, German Democratic Republic, Germany (Federal Republic of), Ghana, Greece, Guatemala, Hungary, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Korea (DPRK) (North Korea), Korea (ROK) (South Korea), Kuwait, Kyrgyzstan, Latvia, Lebanon, Libya, Liechtenstein, Lithuania, Luxembourg, Macedonia, Malaysia, Mexico, Mongolia, Montenegro, Morocco, Myanmar, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Pakistan, Panama, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia (USSR), Saudi Arabia, Singapore, Slovak Republic, Slovenia, South Africa, Spain, Sri Lanka, Sweden, Switzerland, Syria, Thailand, Trinidad, Tunisia, Turkey, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Venezuela, Vietnam, Vietnam (South), Yugoslavia, Zambia
University of Calgary Prism Logo
Robinson, Christina; Dawson, Peter; O'Keefe, Katelyn; Thomas, Christian 2022-11-10 This data set contains the metadata file for the point cloud and orthomosaic created from the photogrammetry data collected at Avadlek Spit, June 2022. The data was collected by the Capture2Preserv team and Yukon Govt. Published under the Creatives Common License CC BY-NC 4.0.
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Robinson, Christina; Duchscher, Rick; Dawson, Peter 2020-09-30 Published under the Creatives Common License CC BY-NC 4.0. This data set contains one hundred and twenty-six (126) files (.tif, .prj, .twf) that create an orthomosaic image of the Frank Slide Interpretation Centre. The data was collected with a DJI Phantom 4 Pro and processed with Pix4D Mapper 4.5.6 by Geomatics Engineering students at the School of Construction, Southern Alberta Institute of Technology, 2020-06-05. This data set also contains a readme file (.txt) to assist with the unpacking of the .tar file.
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Marshall, Shawn; Samimi, Samira 2020-06-08 This dataset contains time-domain reflectometry (TDR), thermistor, and automatic weather station (AWS) data from summer, 2016 at DYE-2 on the southwestern Greenland Ice Sheet. Two firn pits were excavated, 5.3 and 2.2 m deep, and vertical arrays of TDR sensors and thermistors were installed to track meltwater infiltration and refreezing through the summer melt season (Samimi et al., 2020). AWS, TDR, and thermistor data were written to a Campbell Scientific CR1000 datalogger and the raw (ascii) output from the datalogger is imported to an Excel spreadsheet. Data have been quality-controlled through the elimination of any non-physical values (e.g., -99999); these are replaced with NaN or blanks in the dataset. The thermistor and AWS data are complete. Ultrasonic depth gauge (SR50A) data are filtered to remove non-physical values and erroneous data associated with spurious reflections from blowing snow.
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Robinson, Christina; Hvideberg, Madison; Dawson, Peter 2018-06-27 Published under the Creatives Common License CC BY-NC 4.0. This data set contains ten (10) scans captured using a Z+F 5010X scanner by the Capture2Preserve Team June 2017 of the Perrenoud Homestead prior to dismantling for safety concerns. This is the first data set of five covering the dismantling process and the effects on the structure. Scan data is saved in .las format using Z+F Laser Control software v.8.9.0.
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Robinson, Christina; Duchscher, Rick; Dawson, Peter 2020-04-16 This data set contains one hundred and twenty (120) files (.tif, .prj, .twf) that create an orthomosaic image of the Head-Smashed-In Buffalo Jump and Interpretation Centre. The data was collected with a DJI Matrice 210 RTK and DJI Matrice Mobile Station and Ground Control Points with a Leica GS14 Rover and Base and all processed with Pix4D Mapper 4.5.6 by Geomatics Engineering students at the School of Construction, Southern Alberta Institute of Technology Published under the Creatives Common License CC BY-NC 4.0.
University of Calgary Prism Logo
Keeley, James F. 2018-10-19 Volume 2 Afghanistan, Albania, Algeria, Argentina, Armenia, Australia, Austria, Bahrain, Bangladesh, Belarus, Belgium, Belgo-Luxembourg Economic Union, Bolivia, Bosnia, Brazil, Bulgaria, Canada, Central African Republic, Chile, China (PRC), China (ROC), Colombia, Costa Rica, Croatia, Cuba, Czech Republic (Czechoslovakia), Denmark, Dominican Republic, Ecuador, Egypt, El Salvador, Estonia, European Union (Euratom, European Community, European Economic Community, European Commission), Finland, France, German Democratic Republic, Germany (Federal Republic of), Ghana, Greece, Guatemala, Hungary, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Korea (DPRK) (North Korea), Korea (ROK) (South Korea), Kuwait, Kyrgyzstan, Latvia, Lebanon, Libya, Liechtenstein, Lithuania, Luxembourg, Macedonia, Malaysia, Mexico, Mongolia, Montenegro, Morocco, Myanmar, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Pakistan, Panama, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia (USSR), Saudi Arabia, Singapore, Slovak Republic, Slovenia, South Africa, Spain, Sri Lanka, Sweden, Switzerland, Syria, Thailand, Trinidad, Tunisia, Turkey, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Venezuela, Vietnam, Vietnam (South), Yugoslavia, Zambia
University of Calgary Prism Logo
Pival, Paul 1990-09 Data extracted from page 12, Table 2 of A Discussion paper on the potential for reducing carbon dioxide emissions in Alberta : 1988 - 2005. Note that these figures do not appear to match figures available from https://open.canada.ca/data/en/dataset/779c7bcf-4982-47eb-af1b-a33618a05e5b, Canada's Official Greenhouse Gas Inventory Data extracted from Table 2 of the report, A Discussion paper on the potential for reducing carbon dioxide emissions in Alberta : 1988 - 2005

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