The present study introduced a new motion analysis method for total hip arthroplasty (THA). A motion simulation module of THA was designed and developed, which can simulate the THA’s implantation condition and motion...The present study introduced a new motion analysis method for total hip arthroplasty (THA). A motion simulation module of THA was designed and developed, which can simulate the THA’s implantation condition and motion and detect the theoretic range of motion (ROM) before the prosthetic component impingement happens.展开更多
Flood is one of the major challenges facing human societies.Adapting to future flood risks involves deep uncertainty,especially when long-term projections of climate change are considered.This study proposed a Two-sta...Flood is one of the major challenges facing human societies.Adapting to future flood risks involves deep uncertainty,especially when long-term projections of climate change are considered.This study proposed a Two-stage Robust Decision Making(2S-RDM)framework to help devise flexible and robust strategies capable of addressing the inherent deep uncertainty associated with managing flood risks.Taking the Yangtze River Basin in China as a case study,we simulated flood risks across∼0.6 million scenarios until 2050.This analysis considered four types of uncertain factors,i.e.,future climate change,socio-economic growth,industrial structure transformation,and population aging.We then examined the effectiveness of four adaptation measures and their combinations,i.e.building elevation,tunnel construction,people relocation,and river basin conservation.Our projections show that without immediate adaptation,an estimated 0.9 to 27.3 million people will be impacted by floods until 2050,accompanied with$33.8 to$198.5 billion economic losses in the entire basin.When defining the goal as limiting the affected population<0.05%and ensuring economic losses<0.02%,we identified 24 global robust strategies capable of meeting this criterion in>80%of scenarios.Then,we compared the 24 global robust strategies regarding their relative costs and performances in each of the future scenario pools.The final recommended solutions are hybrid strategies that integrate engineering-based measures with‘soft’adaptation options(e.g.Elevation++,Tunnel++,and Relocation).This study provides tools to design flood adaptation strategies not only robust across diverse scenarios but also flexible for decision-makers to customize and refine their strategies based on specific needs.展开更多
Restoring lifeline services to an urban neighborhood impacted by a large disaster is critical to the recovery of the city as a whole.Since cities are comprised of many dependent lifeline systems,the pattern of the res...Restoring lifeline services to an urban neighborhood impacted by a large disaster is critical to the recovery of the city as a whole.Since cities are comprised of many dependent lifeline systems,the pattern of the restoration of each lifeline system can have an impact on one or more others.Due to the often uncertain and complex interactions between dense lifeline systems and their individual operations at the urban scale,it is typically unclear how different patterns of restoration will impact the overall recovery of lifeline system functioning.A difficulty in addressing this problem is the siloed nature of the knowledge and operations of different types of lifelines.Here,a city-wide,multi-lifeline restoration model and simulation are provided to address this issue.The approach uses the Graph Model for Operational Resilience,a data-driven discrete event simulator that can model the spatial and functional cascade of hazard effects and the pattern of restoration over time.A novel case study model of the District of North Vancouver is constructed and simulated for a reference magnitude 7.3 earthquake.The model comprises municipal water and wastewater,power distribution,and transport systems.The model includes 1725 entities from within these sectors,connected through 6456 dependency relationships.Simulation of the model shows that water distribution and wastewater treatment systems recover more quickly and with less uncertainty than electric power and road networks.Understanding this uncertainty will provide the opportunity to improve data collection,modeling,and collaboration with stakeholders in the future.展开更多
基金supported by the National Natural Science Foundation of China(No. 30810103908)the Science Foundation of Shanghai(No.09441900300)the National Basic Research Program(973)of China(No.2011CB711000)
文摘The present study introduced a new motion analysis method for total hip arthroplasty (THA). A motion simulation module of THA was designed and developed, which can simulate the THA’s implantation condition and motion and detect the theoretic range of motion (ROM) before the prosthetic component impingement happens.
基金supported by The National Natural Science Foundation of China(72304136,71921003,72234003,72222012)National Postdoctoral Program for Innovative Talents(BX20230159)Jiangsu R&D Special Fund for Carbon Peaking and Carbon Neutrality(BK20220014).
文摘Flood is one of the major challenges facing human societies.Adapting to future flood risks involves deep uncertainty,especially when long-term projections of climate change are considered.This study proposed a Two-stage Robust Decision Making(2S-RDM)framework to help devise flexible and robust strategies capable of addressing the inherent deep uncertainty associated with managing flood risks.Taking the Yangtze River Basin in China as a case study,we simulated flood risks across∼0.6 million scenarios until 2050.This analysis considered four types of uncertain factors,i.e.,future climate change,socio-economic growth,industrial structure transformation,and population aging.We then examined the effectiveness of four adaptation measures and their combinations,i.e.building elevation,tunnel construction,people relocation,and river basin conservation.Our projections show that without immediate adaptation,an estimated 0.9 to 27.3 million people will be impacted by floods until 2050,accompanied with$33.8 to$198.5 billion economic losses in the entire basin.When defining the goal as limiting the affected population<0.05%and ensuring economic losses<0.02%,we identified 24 global robust strategies capable of meeting this criterion in>80%of scenarios.Then,we compared the 24 global robust strategies regarding their relative costs and performances in each of the future scenario pools.The final recommended solutions are hybrid strategies that integrate engineering-based measures with‘soft’adaptation options(e.g.Elevation++,Tunnel++,and Relocation).This study provides tools to design flood adaptation strategies not only robust across diverse scenarios but also flexible for decision-makers to customize and refine their strategies based on specific needs.
文摘Restoring lifeline services to an urban neighborhood impacted by a large disaster is critical to the recovery of the city as a whole.Since cities are comprised of many dependent lifeline systems,the pattern of the restoration of each lifeline system can have an impact on one or more others.Due to the often uncertain and complex interactions between dense lifeline systems and their individual operations at the urban scale,it is typically unclear how different patterns of restoration will impact the overall recovery of lifeline system functioning.A difficulty in addressing this problem is the siloed nature of the knowledge and operations of different types of lifelines.Here,a city-wide,multi-lifeline restoration model and simulation are provided to address this issue.The approach uses the Graph Model for Operational Resilience,a data-driven discrete event simulator that can model the spatial and functional cascade of hazard effects and the pattern of restoration over time.A novel case study model of the District of North Vancouver is constructed and simulated for a reference magnitude 7.3 earthquake.The model comprises municipal water and wastewater,power distribution,and transport systems.The model includes 1725 entities from within these sectors,connected through 6456 dependency relationships.Simulation of the model shows that water distribution and wastewater treatment systems recover more quickly and with less uncertainty than electric power and road networks.Understanding this uncertainty will provide the opportunity to improve data collection,modeling,and collaboration with stakeholders in the future.
