scholarly journals Geoscience Fieldwork in the Age of COVID-19 and Beyond: Commentary on the Development of a Virtual Geological Field Trip to Whitefish Falls, Ontario, Canada

Geosciences ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 489
Author(s):  
Alexander L. Peace ◽  
Jeremy J. Gabriel ◽  
Carolyn Eyles
Keyword(s):  
Thin Section ◽  
Field Trip ◽  
Geological Mapping ◽  
Undergraduate Teaching ◽  
High Quality ◽  
Multi Scale ◽  
Accessibility Barriers ◽  
Hands On ◽  
Specific Activities ◽  
Accessibility Issues

In response to the COVID-19 pandemic and resultant cancelation of geoscience fieldwork, as well as outstanding accessibility issues inherent in conducting fieldwork, we developed a virtual geological fieldtrip (VFT) to the Huronian age deposits in the Whitefish Falls area, Ontario, Canada. This region is a geologically significant site in which many Ontario universities conduct undergraduate teaching due to the high-quality exposures. In this contribution, we describe and comment on the development of this openly available resource, the motivations in doing so, the challenges faced, its pedagogical impact and relevance, as well as provide suggestions to others in the development of such resources. Our multimedia VFT combines 360° imagery, georeferenced data on integrated maps, and multi-scale imagery (aerial/drone, outcrop, and thin section images). The VFT was built using the Esri Storymaps platform, and thus offers us the opportunity to review the effectiveness of building such resources using this medium, as well as our approach to doing so. We conclude that the Esri Storymaps platform provides a sound medium for the dissemination of multimedia VFTs, but that some aspects of in-person fieldwork remain hard to replicate. Most notably, this affects “hands on experience” and specific activities such as geological mapping. In addition, while VFTs alleviate some accessibility barriers to geoscience fieldwork, substantial barriers remain that should remain the focus of both pedagogical and geoscience work.

scholarly journals Geoscience Fieldwork in the Age of Covid-19 and Beyond: Commentary on the Development of a Virtual Geological Field Trip to Whitefish Falls, Ontario, Canada

2021 ◽  
Author(s):  
Alexander L. Peace ◽  
Jeremy J. Gabriel ◽  
Carolyn Eyles
Keyword(s):  
Thin Section ◽  
Field Trip ◽  
Geological Mapping ◽  
Undergraduate Teaching ◽  
High Quality ◽  
Multi Scale ◽  
Accessibility Barriers ◽  
Hands On ◽  
Specific Activities ◽  
Accessibility Issues

In response to the COVID-19 pandemic, and resultant cancellation of geoscience fieldwork, as well as outstanding accessibility issues inherent in conducting fieldwork, we developed a virtual geological fieldtrip (VFT) to the Huronian age deposits in the Whitefish Falls area, Ontario, Canada. This region is a geologically significant site in which many Ontario universities conduct undergraduate teaching due to the high-quality exposures. In this contribution we describe and comment on the development of this openly available resource, the motivations in doing so, the challenges faced, its pedagogical impact and relevance, as well as provide suggestions to others in the development of such resources. Our multimedia VFT combines 360° imagery, georeferenced data on integrated maps, and multi-scale imagery (aerial/drone, outcrop, and thin section images). The VFT was built using the Esri Storymaps platform, and thus offers us the opportunity to review the effectiveness of building such resources using this medium, as well as our approach to doing so. We conclude that the Esri Storymaps platform provides a sound medium for the dissemination of multimedia VFTs, but that some aspects of in-person fieldwork remain hard to replicate. Most notably, ‘hands on experience’ and specific activities such as geological mapping. In addition, while VFTs alleviate some accessibility barriers to geoscience fieldwork, substantial barriers remain that should remain the focus of both pedagogical and geoscience work.

Uncertainty Quantification in Metallic Additive Manufacturing Through Data-Driven Modelling Based on Multi-Scale Multi-Physics Models and Limited Experiment Data

2020 ◽  
Author(s):  
Zhuo Wang ◽  
Chen Jiang ◽  
Mark F. Horstemeyer ◽  
Zhen Hu ◽  
Lei Chen
Keyword(s):  
Temperature Field ◽  
Additive Manufacturing ◽  
Uncertainty Quantification ◽  
Surrogate Modeling ◽  
Data Driven ◽  
Modeling Framework ◽  
High Quality ◽  
Experimental Calibration ◽  
Multi Scale ◽  
Metallic Additive

Abstract One of significant challenges in the metallic additive manufacturing (AM) is the presence of many sources of uncertainty that leads to variability in microstructure and properties of AM parts. Consequently, it is extremely challenging to repeat the manufacturing of a high-quality product in mass production. A trial-and-error approach usually needs to be employed to attain a product with high quality. To achieve a comprehensive uncertainty quantification (UQ) study of AM processes, we present a physics-informed data-driven modeling framework, in which multi-level data-driven surrogate models are constructed based on extensive computational data obtained by multi-scale multi-physical AM models. It starts with computationally inexpensive metamodels, followed by experimental calibration of as-built metamodels and then efficient UQ analysis of AM process. For illustration purpose, this study specifically uses the thermal level of AM process as an example, by choosing the temperature field and melt pool as quantity of interest. We have clearly showed the surrogate modeling in the presence of high-dimensional response (e.g. temperature field) during AM process, and illustrated the parameter calibration and model correction of an as-built surrogate model for reliable uncertainty quantification. The experimental calibration especially takes advantage of the high-quality AM benchmark data from National Institute of Standards and Technology (NIST). This study demonstrates the potential of the proposed data-driven UQ framework for efficiently investigating uncertainty propagation from process parameters to material microstructures, and then to macro-level mechanical properties through a combination of advanced AM multi-physics simulations, data-driven surrogate modeling and experimental calibration.

scholarly journals Merging Undergraduate Teaching, Graduate Training, and Producing Research: Lessons from Three Collaborative Experiments

2018 ◽  
Vol 52 (1) ◽  
pp. 117-122 ◽  
Author(s):  
Toby W. Bolsen ◽  
Bailey R. Fairbanks ◽  
Eduardo E. Aviles ◽  
Reagan G. Pritchett ◽  
Justin T. Kingsland ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Graduate Training ◽  
Original Data ◽  
The United States ◽  
Undergraduate Teaching ◽  
Crime And Punishment ◽  
Professional Goals ◽  
Hands On ◽  
Public Audience ◽  
Social Scientific

ABSTRACTTeaching undergraduate students, mentoring graduate students, and generating publishable research are distinct tasks for many political scientists. This article highlights lessons for merging these activities through experiences from an initiative that sparked a series of collaborative-research projects focused on opinions about crime and punishment in the United States. This article describes three collaborative projects conducted between 2015 and 2017 to demonstrate how to merge undergraduate teaching, graduate training, and producing research. By participating in these projects, students learned about social-scientific research through hands-on experiences designing experiments, collecting and analyzing original data, and reporting empirical findings to a public audience. This approach is an effective way to engage students and generate research that can advance professional goals.

scholarly journals Image Dehazing Based on (CMTnet) Cascaded Multi-scale Convolutional Neural Networks and Efficient Light Estimation Algorithm

2020 ◽  
Vol 10 (3) ◽  
pp. 1190
Author(s):  
Samia Haouassi ◽  
Di Wu
Keyword(s):  
State Of The Art ◽  
Estimation Algorithm ◽  
Surveillance Systems ◽  
Security Systems ◽  
High Quality ◽  
Image Dehazing ◽  
Multi Scale ◽  
Second Stage ◽  
Computer Vision Applications ◽  
Atmospheric Light

Image dehazing plays a pivotal role in numerous computer vision applications such as object recognition, surveillance systems, and security systems, where it can be considered as an introductory stage. Recently, many proposed learning-based works address this significant task; however, most of them neglect the atmospheric light estimation and fail to produce accurate transmission maps. To address such a problem, in this paper, we propose a two-stage dehazing system. The first stage presents an accurate atmospheric light algorithm labeled “A-Est” that employs hazy image blurriness and quadtree decomposition. Te second stage represents a cascaded multi-scale CNN model called CMT n e t that consists of two subnetworks, one for calculating rough transmission maps (CMCNN t r ) and the other for its refinement (CMCNN t ). Each subnetwork is composed of three-layer D-units (D indicates dense). Experimental analysis and comparisons with state-of-the-art dehazing methods revealed that the proposed system can estimate AL and t efficiently and accurately by achieving high-quality dehazing results and outperforms state-of-the-art comparative methods according to SSIM and MSE values, where our proposed achieves the best scores of both (91% average SSIM and 0.068 average MSE).

scholarly journals Comparison of Chest Compression Quality Using Wing Boards versus Walking Next to a Moving Stretcher: A Randomized Crossover Simulation Study

2020 ◽  
Vol 9 (5) ◽  
pp. 1584
Author(s):  
Yukako Nakashima ◽  
Takeji Saitoh ◽  
Hideki Yasui ◽  
Masahide Ueno ◽  
Kensuke Hotta ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Chest Compression ◽  
Vital Signs ◽  
Borg Scale ◽  
Chest Compressions ◽  
High Quality ◽  
Compression Depth ◽  
Hands On ◽  
Before And After ◽  
Randomized Crossover Study

Background: When a rescuer walks alongside a stretcher and compresses the patient’s chest, the rescuer produces low-quality chest compressions. We hypothesized that a stretcher equipped with wing boards allows for better chest compressions than the conventional method. Methods: In this prospective, randomized, crossover study, we enrolled 45 medical workers and students. They performed hands-on chest compressions to a mannequin on a moving stretcher, while either walking (the walk method) or riding on wings attached to the stretcher (the wing method). The depths of the chest compressions were recorded. The participants’ vital signs were measured before and after the trials. Results: The average compression depth during the wing method (5.40 ± 0.50 cm) was greater than during the walk method (4.85 ± 0.80 cm; p < 0.01). The average compression rates during the two minutes were 215 ± 8 and 217 ± 5 compressions in the walk and wing methods, respectively (p = ns). Changes in blood pressure (14 ± 11 vs. 22 ± 14 mmHg), heart rate (32 ± 13 vs. 58 ± 20 bpm), and modified Borg scale (4 (interquartile range: 2–4) vs. 6 (5–7)) were significantly lower in the wing method cohort compared to the walking cohort (p < 0.01). The rescuer’s size and physique were positively correlated with the chest compression depth during the walk method; however, we found no significant correlation in the wing method. Conclusions: Chest compressions performed on the stretcher while moving using the wing method can produce high-quality chest compressions, especially for rescuers with a smaller size and physique.

scholarly journals Connecting Immigration to Canada's Indigenous Past and Present

2021 ◽  
Author(s):  
Harald Bauder
Keyword(s):  
Indigenous People ◽  
Field Trip ◽  
Complex Relationship ◽  
Hands On ◽  
Eye Opening

In 2017, I participated in a walking fieldtrip organized by First Story Toronto. It was an eye-opening experience. We explored various sites with significant Indigenous connections in downtown Toronto, Canada’s primary immigrant-receiving city. Canada is both a nation of immigrants and a land belonging to Indigenous people, and the field trip addressed these diverging perspectives in a novel and hands-on way. As an academic, I’m used to dealing with issues through rigorous scholarship and conceptual theories, and to see this complex relationship presented in an experiential way was both humbling and inspiring.

scholarly journals Enhancing outreach through the University of Ottawa Maker Mobile

2017 ◽  
Author(s):  
François Bouchard ◽  
Hanan Anis ◽  
Claude Lagüe
Keyword(s):  
School Boards ◽  
High Quality ◽  
Support Structure ◽  
The Past ◽  
Hands On ◽  
The University

The Maker Mobile program is a new modelfor outreach at the faculty of engineering atthe university of Ottawa that allows foryearlong delivery of high quality technologyworkshops to the community atlarge. Through the transportation of rapidprototyping technologies in a 12-foot orangecube truck, the Maker Mobile deliveredmore than 719 workshops and reachedmore than 14000 youth in the past year. Inparticular this program is helping teachersincorporate engineering into theirclassrooms through hands on designactivities. This fosters interest forengineering while helping recruitmentefforts. The Maker Mobile is also helpingthe faculty develop relationships with highschools, teachers and school boards for thedevelopment of new spin off outreachinitiatives. The Maker mobile builds on asolid foundation for outreach at the facultyof engineering. Three important factorshave contributed to the development of astrong foundation for our outreach program.These factors include developing processesthat ensure sustainability and scalability, astrong association to the institution, whichcreates demand for programs and aninternal support structure that ensuresprograms have the necessary resources toscale.

Sign in / Sign up

Export Citation Format

Share Document