Intra-operative forecasting of growth modulation spine surgery outcomes with spatio-temporal dynamic networks

2021 ◽  
Author(s):  
William Mandel ◽  
Stefan Parent ◽  
Samuel Kadoury
Keyword(s):  
Spine Surgery ◽  
Dynamic Networks ◽  
Growth Modulation ◽  
Temporal Dynamic ◽  
Surgery Outcomes ◽  
Spatio Temporal

Image-Guided Tethering Spine Surgery with Outcome Prediction using Spatio-Temporal Dynamic Networks

2020 ◽  
pp. 1-1
Author(s):  
William Mandel ◽  
Reda Oulbacha ◽  
Marjolaine Roy-Beaudry ◽  
Stefan Parent ◽  
Samuel Kadoury
Keyword(s):  
Spine Surgery ◽  
Outcome Prediction ◽  
Dynamic Networks ◽  
Temporal Dynamic ◽  
Image Guided ◽  
Spatio Temporal

scholarly journals Research on the Spatio-Temporal Dynamic Evolution Characteristics and Influencing Factors of Electrical Power Consumption in Three Urban Agglomerations of Yangtze River Economic Belt, China Based on DMSP/OLS Night Light Data

2021 ◽  
Vol 13 (6) ◽  
pp. 1150
Author(s):  
Yang Zhong ◽  
Aiwen Lin ◽  
Chiwei Xiao ◽  
Zhigao Zhou
Keyword(s):  
Influencing Factors ◽  
Yangtze River ◽  
Electrical Power ◽  
Random Forest Algorithm ◽  
Temporal Dynamic ◽  
Urban Agglomerations ◽  
Evolution Characteristics ◽  
Spatio Temporal ◽  
Electrical Power Consumption ◽  
Gwr Model

In this paper, based on electrical power consumption (EPC) data extracted from DMSP/OLS night light data, we select three national-level urban agglomerations in China’s Yangtze River Economic Belt(YREB), includes Yangtze River Delta urban agglomerations(YRDUA), urban agglomeration in the middle reaches of the Yangtze River(UAMRYR), and Chengdu-Chongqing urban agglomeration(CCUA) as the research objects. In addition, the coefficient of variation (CV), kernel density analysis, cold hot spot analysis, trend analysis, standard deviation ellipse and Moran’s I Index were used to analyze the Spatio-temporal Dynamic Evolution Characteristics of EPC in the three urban agglomerations of the YREB. In addition, we also use geographically weighted regression (GWR) model and random forest algorithm to analyze the influencing factors of EPC in the three major urban agglomerations in YREB. The results of this study show that from 1992 to 2013, the CV of the EPC in the three urban agglomerations of YREB has been declining at the overall level. At the same time, the highest EPC value is in YRDUA, followed by UAMRYR and CCUA. In addition, with the increase of time, the high-value areas of EPC hot spots are basically distributed in YRDUA. The standard deviation ellipses of the EPC of the three urban agglomerations of YREB clearly show the characteristics of “east-west” spatial distribution. With the increase of time, the correlations and the agglomeration of the EPC in the three urban agglomerations of the YREB were both become more and more obvious. In terms of influencing factor analysis, by using GWR model, we found that the five influencing factors we selected basically have a positive impact on the EPC of the YREB. By using the Random forest algorithm, we found that the three main influencing factors of EPC in the three major urban agglomerations in the YREB are the proportion of secondary industry in GDP, Per capita disposable income of urban residents, and Urbanization rate.

Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS

Cities ◽  
2005 ◽  
Vol 22 (6) ◽  
pp. 400-410 ◽  
Author(s):  
Guangjin Tian ◽  
Jiyuan Liu ◽  
Yichun Xie ◽  
Zhifeng Yang ◽  
Dafang Zhuang ◽  
...  
Keyword(s):  
Driving Forces ◽  
Urban Land ◽  
Temporal Dynamic ◽  
Dynamic Pattern ◽  
Spatio Temporal

48. Depression severity and its impact on spine surgery outcomes

2021 ◽  
Vol 21 (9) ◽  
pp. S24
Author(s):  
Christopher Johnson ◽  
Evan Nigh ◽  
Stephen Stephan ◽  
Syed-Abdullah Uddin ◽  
Lindsey Ross ◽  
...  
Keyword(s):  
Spine Surgery ◽  
Depression Severity ◽  
Surgery Outcomes

scholarly journals Temporal and Spatio-Temporal Dynamic Instabilities: Novel Computational and Experimental approaches

2016 ◽  
Vol 225 (13-14) ◽  
pp. 2407-2411
Author(s):  
Eusebius J. Doedel ◽  
Panayotis Panayotaros ◽  
Carlos L. Pando Lambruschini
Keyword(s):  
Temporal Dynamic ◽  
Experimental Approaches ◽  
Spatio Temporal

scholarly journals Relevance of Lifestyle and Attitudinal Factors to Spine Surgery Outcomes: Empirical Results on a Heterogeneous Sample

2011 ◽  
Vol 02 (03) ◽  
pp. 121-126
Author(s):  
Carolyn E. Schwartz ◽  
Brian Quaranto ◽  
Emily Samaha ◽  
Mariam Kahn-Woods ◽  
Paul Glazer
Keyword(s):  
Spine Surgery ◽  
Heterogeneous Sample ◽  
Empirical Results ◽  
Attitudinal Factors ◽  
Surgery Outcomes
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