Scholars Portal’s Top Hits of 2022

Counting down the most-viewed and most-downloaded articles, books, and datasets of 2022!

 

Top 5 most popular journal articles of 2022

  • #5.  Silverman, Edwin K. “Genetics of COPD.” Annual Review of Physiology 82 (February 10, 2020): 413–31.
    Although chronic obstructive pulmonary disease (COPD) risk is strongly influenced by cigarette smoking, genetic factors are also important determinants of COPD. In addition to Mendelian syndromes such as alpha-1 antitrypsin deficiency, many genomic regions that influence COPD susceptibility have been identified in genome-wide association studies. Similarly, multiple genomic regions associated with COPD-related phenotypes, such as quantitative emphysema measures, have been found. Identifying the functional variants and key genes within these association regions remains a major challenge. However, newly identified COPD susceptibility genes are already providing novel insights into COPD pathogenesis. Network-based approaches that leverage these genetic discoveries have the potential to assist in decoding the complex genetic architecture of COPD.
  • #4.  Fink, Janet S. “Female Athletes, Women’s Sport, and the Sport Media Commercial Complex: Have We Really ‘Come a Long Way, Baby’?” Sport Management Review 18, no. 3 (August 1, 2015): 331–42.
    The 2012 London Olympic Games were heralded as the “Year of the Woman” as every delegation sent a female athlete to compete in the games, and nearly 45% of all athletes were women. Indeed, sport participation amongst girls and women is currently at an all-time high, and these sportswomen deliver remarkable athletic performances. However, female athletes and women’s sport still receive starkly disparate treatment by the sport media commercial complex compared to male athletes and men’s sport. This review documents these qualitative and quantitative differences and discusses the negative impact this differential coverage has on consumer perceptions of women’s sport and female athletes. Additionally, the author examines explanations for these differences. The review concludes with suggestions for future research and strategies for change.
  • #3.  Hansel, Nadia N., Meredith C. McCormack, and Victor Kim. “The Effects of Air Pollution and Temperature on COPD.” COPD: Journal of Chronic Obstructive Pulmonary Disease 13, no. 3 (May 3, 2016): 372–79.
    Chronic Obstructive Pulmonary Disease (COPD) affects 12–16 million people in the United States and is the third-leading cause of death. In developed countries, smoking is the greatest risk factor for the development of COPD, but other exposures also contribute to the development and progression of the disease. Several studies suggest, though are not definitive, that outdoor air pollution exposure is linked to the prevalence and incidence of COPD. Among individuals with COPD, outdoor air pollutants are associated with loss of lung function and increased respiratory symptoms. In addition, outdoor air pollutants are also associated with COPD exacerbations and mortality. There is much less evidence for the impact of indoor air on COPD, especially in developed countries in residences without biomass exposure. The limited existing data suggests that indoor particulate matter and nitrogen dioxide concentrations are linked to increased respiratory symptoms among patients with COPD. In addition, with the projected increases in temperature and extreme weather events in the context of climate change there has been increased attention to the effects of heat exposure. Extremes of temperature—both heat and cold—have been associated with increased respiratory morbidity in COPD. Some studies also suggest that temperature may modify the effect of pollution exposure and though results are not conclusive, understanding factors that may modify susceptibility to air pollution in patients with COPD is of utmost importance.
  • #2.  Tuck, Eve, and K. Wayne Yang. “Decolonization Is Not a Metaphor.” Decolonization: Indigeneity, Education & Society 1, no. 1 (September 8, 2012).
    Our goal in this article is to remind readers what is unsettling about decolonization. Decolonization brings about the repatriation of Indigenous land and life; it is not a metaphor for other things we want to do to improve our societies and schools. The easy adoption of decolonizing discourse by educational advocacy and scholarship, evidenced by the increasing number of calls to “decolonize our schools,” or use “decolonizing methods,” or, “decolonize student thinking”, turns decolonization into a metaphor. As important as their goals may be, social justice, critical methodologies, or approaches that decenter settler perspectives have objectives that may be incommensurable with decolonization. Because settler colonialism is built upon an entangled triad structure of settler-native-slave, the decolonial desires of white, non-white, immigrant, postcolonial, and oppressed people, can similarly be entangled in resettlement, reoccupation, and reinhabitation that actually further settler colonialism. The metaphorization of decolonization makes possible a set of evasions, or “settler moves to innocence”, that problematically attempt to reconcile settler guilt and complicity, and rescue settler futurity. In this article, we analyze multiple settler moves towards innocence in order to forward “an ethic of incommensurability” that recognizes what is distinct and what is sovereign for project(s) of decolonization in relation to human and civil rights based social justice projects. We also point to unsettling themes within transnational/Third World decolonizations, abolition, and critical space-place pedagogies, which challenge the coalescence of social justice endeavors, making room for more meaningful potential alliances.
  • #1.  Pronger, Brian. “Rendering the Body: The Implicit Lessons of Gross Anatomy.” Quest 47, no. 4 (November 1, 1995): 427–46.
    This paper explores the role played by gross anatomy courses in university physical education curricula in developing objectifying attitudes toward the body in professional physical education practices. Calling on postmodern analyses of the politics of knowledge and the production of bodies, it is argued that students’ experiences of the gross anatomy laboratory is actually an educational rite of passage in coming to see the body as a mechanical object, a useful resource in the production of physical capital. This professional attitude toward the body contributes to the abuse of the body in consumer culture, high performance sport, and the production of gendered bodies.

Top 10 most popular e-books of 2022

Top 5 most popular surveys of 2022

  • #5.  Impacts of the COVID-19 Pandemic on Postsecondary Students, 2020
    The purpose of this data collection is to provide early insight into the educational, employment and financial impacts of the COVID-19 pandemic on postsecondary students. Students will be asked about concerns regarding their academic future and financial constraints.
  • #4.  2006 Census: Individuals File
    The 2006 Census public use microdata file (PUMF) on individuals contains 844,476 records, representing 2.7% of the Canadian population. These records were drawn from a sample of one-fifth of the Canadian population (sample data from questionnaire 2B). The 2006 PUMF includes 123 variables. Of these, 102 variables, or 83%, come from the individual universe and 21 variables, or 17%, are drawn from the family, household and dwelling universes. The file does not include people living in institutions.
  • #3.  2016 Census: Individuals File
    The 2016 Census public use microdata file (PUMF) on individuals contains 930,421 records, representing 2.7% of the Canadian population. These records were drawn from a sample of one quarter of the Canadian population (sample data from questionnaire 2A-L). The 2016 PUMF contains 123 variables. Of these, 92 variables, or 75%, come from the individual universe and 31 variables, or 25%, are drawn from the family, household and dwelling universes. In addition, the file contains a unique record identifier (ID), an individual weighting factor and 16 replicate weights for the purpose of estimating sampling variability.
  • #2.  Canadian Community Health Survey, 2015-2016
    The Canadian Community Health Survey (CCHS)  is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians.
  • #1.  Canadian Community Health Survey, 2017-2018 
    The Canadian Community Health Survey (CCHS)  is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians.

Top 10 geospatial datasets of 2022

  • #10.  Agricultural Resource Inventory (ARI) 2017 (Ontario Ministry of Agriculture, Food, and Rural Affairs)
    The Agricultural Resource Inventory (ARI) includes agricultural operations polygons created for project areas across Ontario. These have been digitized against ortho imagery. The descriptions of these polygons include: Farms, Fields, Fencecrows and Roughland.
  • #9.  Cartographic Boundary Files, 2016 Census (Statistics Canada)
    This data series contains all the Cartographic Boundary Files (CBF) produced by Statistics Canada for the 2016 census, including census divisions and subdivisions, census metropolitan areas, population centres, economic regions, federal electoral districts, and more.
  • #8.  Southwestern Ontario Orthophotography Project (SWOOP) 2015 Digital Terrain Model (Ontario Ministry of Natural Resources)
    The SWOOP 2015 DTM is a 2m raster elevation product that was generated from the SWOOP 2015 Classified LAS. DTM is used for referencing elevations for mapping or engineering work and can be used to generate contours for the same.
  • #7.  Southwestern Ontario Orthophotography Project (SWOOP) 2015 Classified LAS (Ontario Ministry of Natural Resources)
    Southwestern Ontario Orthophotography Project (SWOOP) 2015 Classified LAS was generated by Mapping and Geomatics Services Section (MGSS). MGSS staff worked with the raw point cloud LAS data derived from image correlation in order to create a SWOOP 2015 Classified LAS. In total, SWOOP 2015 Classified LAS contains 44,629 non-overlapping tiles (1km x 1km) of classified point cloud data in LAS format covering Southwestern Ontario.
  • #6.  Land Information Ontario – Wooded Area (Ontario Ministry of Natural Resources)
    Wooded Area polygons represent the boundaries of woodlands (forests, woodlots, hedgerows, and plantations) in Southern Ontario. The woodland dataset is one of numerous products derived through the implementation of the SOLRIS project. The methodology used in SOLRIS Phase 1 involves updating the NRVIS wooded area (WOODAREA concrete class) data through the interpretation of remotely sensed data including orthophotography, Indian Remote Sensing (IRS) and colour infrared aerial photography. Wooded Area polygons represent the boundaries of woody vegetation (including shrubs) mapped to Ontario Base Mapping standards in Northern Ontario (EcoRegion 5E) and a revised standard to capture more definitive ‘treed areas’ in Southern Ontario (EcoRegions 6E and 7E). Trees and shrubs in this layer have a minimum of 2 meter height.
  • #5.  Road Network File, 2016 Census (Statistics Canada)
    The Road Network File is a digital representation of Canada´s national road network, containing information such as major roads, street names, types, directions and address ranges. Address ranges are dwelling-based and occur mainly in large urban centres of Canada. The 2011 Census Road Network File also includes the unique identifier, name and type for each side of a street arc (where applicable) for the following geographic levels: provinces and territories, census subdivisions, census metropolitan areas and census agglomerations. In the 2016 Census Road Network File, streets are ranked according to five levels of detail, suitable for mapping at small to medium scales.
  • #4.  Historical Topographic Maps: 1:50,000 Index (National Resources Canada)
    This topographic map index is a finding aid for Ontario sheets of the 1:50,000 series of the National Topographic System (NTS) Historical Topographic Maps of Canada. Production on this series began in 1950 and continues today. This digitized collection includes over 2700 individual topographic map sheets for the Province of Ontario produced between 1950 and 2011. Maps cover mostly populated and border regions, and show both natural and man-made features such as relief, spot heights, administrative boundaries, secondary and side roads, railways, trails, wooded areas, waterways including lakes, rivers, streams and rapids, bridges, buildings, mills, power lines, terrain, and land formations.
  • #3.  Historical Topographic Maps: 1:25,000 Index (Surveys and Mapping Branch, Departmentment of Energy, Mines and Resources)
    This topographic map index is a finding aid for Ontario sheets of the 1:25,000 series of Historical Topographic Maps of Canada. This series was produced between 1956 and 1977, and includes over 600 individual topographic map sheets for the Province of Ontario. Maps cover mostly populated and border regions, and show both natural and man-made features such as relief, spot heights, administrative boundaries, roads, railways, trails, waterways, bridges, buildings, mills, power lines, terrain, and land formations.
  • #2.  Mississauga Digital Orthoimagery (Transportation and Works Department, City of Mississauga)
    This City of Mississauga aerial photography covers the area of Mississauga. The first aerial surveys of Mississauga were undertaken in 1944. Since then, the city has produced aerial photography every five to ten years until 2002, when it became annual. Data sets pre-2016 contain the lower-resolution JPG version of the imagery for view, and a high-resolution ECW version for direct download (as a complete mosaic). Note that for some of the earlier years, only a direct download is available. 2016 to 2017 provide a download of specific areas of interest as JPG2. For 2018 onwards TIFF image files are provided.
  • #1.  Historical Topographic Maps: 1:63,360 Index (Geographical Section, Department of National Defence)
    This topographic map index is a finding aid for Ontario sheets of the 1:63,360 series of Historical Topographic Maps of Canada. This series was produced between 1906 and 1953, and includes nearly 500 individual topographic map sheets for the Province of Ontario. Maps cover mostly populated and border regions, and show both natural and man-made features such as relief, spot heights, administrative boundaries, roads, railways, trails, waterways, bridges, buildings, mills, power lines, terrain, and land formations.

Top 10 research datasets of 2022

  • #10.  Sarkar, Pritam; Posen, Aaron; Etemad, Ali, 2022, “AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work“.
    We introduce AVCAffe, the first Audio-Visual dataset consisting of Cognitive load and Affect attributes. We record AVCAffe by simulating remote work scenarios over a video-conferencing platform, where subjects collaborate to complete a number of cognitively engaging tasks. AVCAffe is the largest originally collected (not collected from the Internet) affective dataset in English language. We recruit 106 participants from 18 different countries of origin, spanning an age range of 18 to 57 years old, with a balanced male-female ratio. AVCAffe comprises a total of 108 hours of video, equivalent to more than 58,000 clips along with task-based self-reported ground truth labels for arousal, valence, and cognitive load attributes such as mental demand, temporal demand, effort, and a few others.
  • #9.  Jia Ying Lin; Costin Ograda-Bratu; S. Huo; S. Keshav, 2020, “Detecting Snow Covered Solar Panels Dataset“.
    There are many anomalies that may affect a solar panel’s power production, including cloudiness, snow, dust, and shadows. Images of the solar panels are taken as input to detect snow, since it can be easily identified through images. This dataset contains a set of measurements from a solar installation on top of the ERC building at the University of Waterloo, and some photos of the system which could allow image recognition to identify snow on the panels.
  • #8.  Ramirez Garcia Luna, Jose; Dhanesh Ramachandram; Robert DJ Fraser; Justin Allport, 2022, “Replication Data for: Improving Objective Wound Assessment: “Fully-automated wound tissue segmentation using Deep Learning on mobile devices”“.
    Background: The composition of tissue types present within a wound is a useful indicator of its healing progression and could be helpful in guiding its treatment. Additionally, this measure is clinically used in wound healing tools (e.g. BWAT) to assess risk and recommend treatment. However, the identification of wound tissue and the estimation of their relative composition is highly subjective and variable. This results in incorrect assessments being reported, leading to downstream impacts including inappropriate dressing selection, failure to identify wounds at risk of not healing, or failure to make appropriate referrals to specialists. Objective: To measure inter-and intra-rater variability in manual tissue segmentation and quantification among a cohort of wound care clinicians. To determine if an objective assessment of tissue types (i.e., size, amount) can be achieved using a deep convolutional neural network that predicts wound tissue types. The proposed objective measurement by machine learning model’s performance is reported in terms of mean intersection over union (mIOU) between model prediction and the ground truth labels. Finally, to compare the performance of the model wound tissue identification by a cohort of wound care clinicians.
  • #7.  Ghorbani, Saeed; Mahdaviani, Kimia; Anne Thaler; Konrad Kording; Douglas James Cook; Gunnar Blohm; Nikolaus F. Troje, 2020, “MoVi: A Large Multipurpose Motion and Video Dataset“.
    MoVi is the first human motion dataset to contain synchronized pose, pose-dependent shape and video recordings. The MoVi database can be applied in human pose estimation and tracking, human motion prediction and synthesis, action recognition and gait analysis.
  • #6.  Gensytskyy, Oleksiy; Ben Ayed, Yessine; Otis, Martin J.-D., 2021, “Image dataset of various soil types in an urban city“.
    This dataset contains images of various types of soils and was used for the project “An assistive system for walking in urban areas”. The images were taken using a smartphone camera in a vertical orientation and are high-quality.
  • #5.  Karlen, Walter, 2021, “CapnoBase InVivo Dataset“.
    CapnoBase: Annotated respiratory signals and benchmark from capnography and pulse oximetry. The in-vivo dataset contains capnography signals that were recorded during real clinical cases. Information that could possibly identify the source of the data has been removed.
  • #4.  Lakshminarayanan, Vasudevan; Roy, Priyanka; Gholami, Peyman, 2018, “Normal Retinal OCT images“.
    Fovea-centered Optical Coherence Tomography images of adult healthy retina.
  • #3.  Karlen, Walter, 2021, “CapnoBase IEEE TBME Respiratory Rate Benchmark“.
    CapnoBase: Annotated respiratory signals and benchmark from capnography and pulse oximetry. The CapnoBase TBME RR benchmark dataset contains 42 cases of 8-min recordings. In addition to the CO2 waveforms (capnograms), these cases have also the Photoplethysmogram (PPG) from pulse oximetry available. Labels from an expert are available for pulse peaks from PPG and breaths from CO2. Also, the benchmark contains the results from the Karlen et al. IEEE TBME paper on multi-parameter RR calculation. This can be used to directly compare algorithm performances. The benchmark dataset is used by researchers to test and compare algorithms. This dataset should not be used to train or tune an algorithm as it may bias the performance results.
  • #2.  Schneider, Stefan; Fryxell, John; ALUS (Alternative Land Use Services), 2021, “Subsamples of ALUS Southern Ontario Insects“.
    Insect biodiversity is a key indicator for ecological well-being when measuring the success of restorative efforts. Malaise insect traps from 32 different restoration, conservation, and high impact farming sites across southern Ontario, Canada have been used to collect 1.4 million individuals. Here we include 505 images (434 sorted, 71 mixed) of approximately 20 individuals per image as a machine learning dataset. We also include a subset of these datasets containing extracted individuals (11,387 sorted, 1,772 mixed). Images were captured using a high resolution camera on a backlit background.
  • #1.  Pichora-Fuller, M. Kathleen; Dupuis, Kate, 2020, “Toronto emotional speech set (TESS)“.
    These stimuli were modeled on the Northwestern University Auditory Test No. 6 (NU-6; Tillman & Carhart, 1966). A set of 200 target words were spoken in the carrier phrase “Say the word _____’ by two actresses (aged 26 and 64 years) and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). There are 2800 stimuli in total. Two actresses were recruited from the Toronto area. Both actresses speak English as their first language, are university educated, and have musical training. Audiometric testing indicated that both actresses have thresholds within the normal range.