Morrison, George (1919–2000)

2018 ◽  
Author(s):  
Kate Morris
Keyword(s):  
New York ◽  
Native American ◽  
Large Scale ◽  
Active Role ◽  
Natural Environments ◽  
University Of Minnesota ◽  
Art Students ◽  
Indian Reservation ◽  
Studio Arts ◽  
Louise Bourgeois

George Morrison was a Native American (Chippewa) painter who played an active role in the formation of Abstract Expressionism. Morrison attended the Art Students League in New York City from 1943–1946, and was considered a member of the New York School, exhibiting alongside Franz Kline, Willem de Kooning, Ad Reinhardt, Louise Bourgeois, Mark Rothko, and others. Morrison’s paintings rarely contained overtly Indian signifiers, yet his early interest in nature and the unconscious, as well as his engagement with Surrealist practices such as automatism, made him an ally of modern primitivism. His experimentation with non-figural and biomorphic forms led him to develop a mature style of abstraction that combined color field and gestural approaches: he is best known for large-scale paintings, drawings, and wood collages that convey rhythmic and tactile sensations of the urban and natural environments. From 1970 to 1983 Morrison was a member of the faculty of Studio Arts at the University of Minnesota, and from 1983 until his death in 2000 he lived and worked on the Grand Portage Indian Reservation on the shore of Lake Superior. In 2004, Morrison was one of two artists featured in the inaugural exhibition of the Smithsonian National Museum of the American Indian.

Reviews

Screen Bodies ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 86-98
Author(s):  
Josh Morrison ◽  
Sylvie Bissonnette ◽  
Karen J. Renner ◽  
Walter S. Temple
Keyword(s):  
New York ◽  
New Media ◽  
The Body ◽  
Media Art ◽  
University Of Minnesota ◽  
Body Images ◽  
New Media Art

Kate Mondloch, A Capsule Aesthetic: Feminist Materialisms in New Media Art (Minneapolis: University of Minnesota Press, 2018), 151 pp. ISBN: 9781517900496 (paperback, $27) Alberto Brodesco and Federico Giordano, editors, Body Images in the Post-Cinematic Scenario: The Digitization of Bodies (Milan: Mimesis International, 2017). 195 pp., ISBN: 9788869771095 (paperback, $27.50) Cynthia J. Miller and A. Bowdoin Van Riper, editors, What’s Eating You? Food and Horror on Screen (New York: Bloomsbury Academic, 2017). 370pp., ISBN: 9781501322389 (hardback, $105); ISBN: 9781501343964 (paperback, $27.96); ISBN: 9781501322419 (ebook, $19.77) Kaya Davies Hayon, Sensuous Cinema: The Body in Contemporary Maghrebi Cinema (New York: Bloomsbury, 2018). 181pp., ISBN: 9781501335983 (hardback, $107.99)

Do elite soccer players cover longer distance when losing? Differences between attackers and defenders

2020 ◽  
pp. 174795412098227
Author(s):  
Carlos Lago-Peñas ◽  
Anton Kalén ◽  
Miguel Lorenzo-Martinez ◽  
Roberto López-Del Campo ◽  
Ricardo Resta ◽  
...  
Keyword(s):  
New York ◽  
High Speed ◽  
Large Scale ◽  
Tracking System ◽  
Soccer Players ◽  
Running Performance ◽  
Situational Variables ◽  
Total Distance ◽  
Professional Soccer ◽  
Score Line

This study aimed to evaluate the effects playing position, match location (home or away), quality of opposition (strong or weak), effective playing time (total time minus stoppages), and score-line on physical match performance in professional soccer players using a large-scale analysis. A total of 10,739 individual match observations of outfield players competing in the Spanish La Liga during the 2018–2019 season were recorded using a computerized tracking system (TRACAB, Chyronhego, New York, USA). The players were classified into five positions (central defenders, players = 94; external defenders, players = 82; central midfielders, players = 101; external midfielders, players = 72; and forwards, players = 67) and the following match running performance categories were considered: total distance covered, low-speed running (LSR) distance (0–14 km · h−1), medium-speed running (MSR) distance (14–21 km · h−1), high-speed running (HSR) distance (>21 km · h−1), very HSR (VHSR) distance (21–24 km · h−1), sprint distance (>24 km · h−1) Overall, match running performance was highly dependent on situational variables, especially the score-line condition (winning, drawing, losing). Moreover, the score-line affected players running performance differently depending on their playing position. Losing status increased the total distance and the distance covered at MSR, HSR, VHSR and Sprint by defenders, while attacking players showed the opposite trend. These findings may help coaches and managers to better understand the effects of situational variables on physical performance in La Liga and could be used to develop a model for predicting the physical activity profile in competition.

scholarly journals A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Chen ◽  
Wei Hou ◽  
Sina Rashidian ◽  
Yu Wang ◽  
Xia Zhao ◽  
...  
Keyword(s):  
New York ◽  
Race And Ethnicity ◽  
Large Scale ◽  
New York State ◽  
Temporal Trends ◽  
Opioid Overdose ◽  
York State ◽  
Targeted Interventions ◽  
Level Data ◽  
Zip Code

AbstractOpioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP). To discover trends and patterns of opioid poisoning and the demographic and regional disparities, we analyzed large scale patient visits data in New York State (NYS). Demographic, spatial, temporal and correlation analyses were performed for all OP patients extracted from the claims data in the New York Statewide Planning and Research Cooperative System (SPARCS) from 2010 to 2016, along with Decennial US Census and American Community Survey zip code level data. 58,481 patients with at least one OP diagnosis and a valid NYS zip code address were included. Main outcome and measures include OP patient counts and rates per 100,000 population, patient level factors (gender, age, race and ethnicity, residential zip code), and zip code level social demographic factors. The results showed that the OP rate increased by 364.6%, and by 741.5% for the age group > 65 years. There were wide disparities among groups by race and ethnicity on rates and age distributions of OP. Heroin and non-heroin based OP rates demonstrated distinct temporal trends as well as major geospatial variation. The findings highlighted strong demographic disparity of OP patients, evolving patterns and substantial geospatial variation.

scholarly journals ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition

2021 ◽  
Author(s):  
Anil S. Baslamisli ◽  
Partha Das ◽  
Hoang-An Le ◽  
Sezer Karaoglu ◽  
Theo Gevers
Keyword(s):  
Neural Network ◽  
Large Scale ◽  
State Of The Art ◽  
Image Decomposition ◽  
Natural Environments ◽  
Decomposition Algorithms ◽  
Ambient Light ◽  
Fine Grained ◽  
Large Scale Dataset ◽  
Direct Illumination

AbstractIn general, intrinsic image decomposition algorithms interpret shading as one unified component including all photometric effects. As shading transitions are generally smoother than reflectance (albedo) changes, these methods may fail in distinguishing strong photometric effects from reflectance variations. Therefore, in this paper, we propose to decompose the shading component into direct (illumination) and indirect shading (ambient light and shadows) subcomponents. The aim is to distinguish strong photometric effects from reflectance variations. An end-to-end deep convolutional neural network (ShadingNet) is proposed that operates in a fine-to-coarse manner with a specialized fusion and refinement unit exploiting the fine-grained shading model. It is designed to learn specific reflectance cues separated from specific photometric effects to analyze the disentanglement capability. A large-scale dataset of scene-level synthetic images of outdoor natural environments is provided with fine-grained intrinsic image ground-truths. Large scale experiments show that our approach using fine-grained shading decompositions outperforms state-of-the-art algorithms utilizing unified shading on NED, MPI Sintel, GTA V, IIW, MIT Intrinsic Images, 3DRMS and SRD datasets.

scholarly journals 214 Longitudinal Changes in Sleep Duration, Timing, Variability, and Stages during the COVID-19 Pandemic: Large-Scale Fitbit Data

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A86-A86
Author(s):  
Michael Grandner ◽  
Naghmeh Rezaei
Keyword(s):  
New York ◽  
Los Angeles ◽  
San Francisco ◽  
Sleep Duration ◽  
Large Scale ◽  
Age Groups ◽  
Population Level ◽  
Sleep Stages ◽  
Longitudinal Changes ◽  
Timing Variability

Abstract Introduction The COVID-19 pandemic has resulted in societal-level changes to sleep and other behavioral patterns. Objective, longitudinal data would allow for a greater understanding of sleep-related changes at the population level. Methods N= 163,524 deidentified active Fitbit users from 6 major US cities contributed data, representing areas particularly hard-hit by the pandemic (Chicago, Houston, Los Angeles, New York, San Francisco, and Miami). Sleep variables extracted include nightly and weekly mean sleep duration and bedtime, variability (standard deviation) of sleep duration and bedtime, and estimated arousals and sleep stages. Deviation from similar timeframes in 2019 were examined. All analyses were performed in Python. Results These data detail how sleep duration and timing changed longitudinally, stratified by age group and gender, relative to previous years’ data. Overall, 2020 represented a significant departure for all age groups and both men and women (P<0.00001). Mean sleep duration increased in nearly all groups (P<0.00001) by 5-11 minutes, compared to a mean decrease of 5-8 minutes seen over the same period in 2019. Categorically, sleep duration increased for some and decreased for others, but more extended than restricted. Sleep phase shifted later for nearly all groups (p<0.00001). Categorically, bedtime was delayed for some and advanced for others, though more delayed than advanced. Duration and bedtime variability decreased, owing largely to decreased weekday-weekend differences. WASO increased, REM% increased, and Deep% decreased. Additional analyses show stratified, longitudinal changes to sleep duration and timing mean and variability distributions by month, as well as effect sizes and correlations to other outcomes. Conclusion The pandemic was associated with increased sleep duration on average, in contrast to 2019 when sleep decreased. The increase was most profound among younger adults, especially women. The youngest adults also experienced the greatest bedtime delay, in line with extensive school-start-times and chronotype data. When given the opportunity, the difference between weekdays and weekends became smaller, with occupational implications. Sleep staging data showed that slightly extending sleep minimally impacted deep sleep but resulted in a proportional increase in REM. Wakefulness during the night also increased, suggesting increased arousal despite greater sleep duration. Support (if any) This research was supported by Fitbit, Inc.

scholarly journals Park Proximity and Use for Physical Activity among Urban Residents: Associations with Mental Health

2020 ◽  
Vol 17 (13) ◽  
pp. 4885
Author(s):  
Stephanie L. Orstad ◽  
Kristin Szuhany ◽  
Kosuke Tamura ◽  
Lorna E. Thorpe ◽  
Melanie Jay
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
New York ◽  
Poor Mental Health ◽  
Urban Neighborhoods ◽  
Urban Residents ◽  
Natural Environments ◽  
Protective Effects ◽  
Park Use ◽  
Random Digit Dial

Increasing global urbanization limits interaction between people and natural environments, which may negatively impact population health and wellbeing. Urban residents who live near parks report better mental health. Physical activity (PA) reduces depression and improves quality of life. Despite PA’s protective effects on mental health, the added benefit of urban park use for PA is unclear. Thus, we examined whether park-based PA mediated associations between park proximity and mental distress among 3652 New York City residents (61.4% 45 + years, 58.9% female, 56.3% non-white) who completed the 2010–2011 Physical Activity and Transit (PAT) random-digit-dial survey. Measures included number of poor mental health days in the previous month (outcome), self-reported time to walk to the nearest park from home (exposure), and frequency of park use for sports, exercise or PA (mediator). We used multiple regression with bootstrap-generated 95% bias-corrected confidence intervals (BC CIs) to test for mediation by park-based PA and moderation by gender, dog ownership, PA with others, and perceived park crime. Park proximity was indirectly associated with fewer days of poor mental health via park-based PA, but only among those not concerned about park crime (index of moderated mediation = 0.04; SE = 0.02; 95% BC CI = 0.01, 0.10). Investment in park safety and park-based PA promotion in urban neighborhoods may help to maximize the mental health benefits of nearby parks.

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