Structural equation modeling and the analysis of long-term monitoring data

2012 ◽  
pp. 325-358 ◽  
Author(s):  
James B. Grace ◽  
Jon E. Keeley ◽  
Darren J. Johnson ◽  
Kenneth A. Bollen
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Monitoring Data ◽  
Equation Modeling ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Proposing a model for absorption capacity of technology

2015 ◽  
Vol 4 (1) ◽  
pp. 113 ◽  
Author(s):  
Hossein Gholizadeh ◽  
Ali Bonyadi Naeini ◽  
Alireza Moini
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Developed Countries ◽  
Absorption Capacity ◽  
Equation Modeling ◽  
Technological Gap ◽  
Expert Opinions ◽  
Modeling Analysis ◽  
Effective Dimensions

Absorption capacity of knowledge is the concept which is been introduced in this situation. This phenomenon describes why some countries are in a better condition with a view to technology. Many countries believe that the power to stay in the battle and excel other competitors directly depends on their abilities in taking knowledge. Many countries have used their technological gap with developed countries as an accelerator for improving their absorption capacity. In this study, authors tried to produce a complete definition for absorption capacity through analyzing different research. Then with using expert opinions, a categorization for dimensions of absorption capacity will be prepared by using the structural equation modeling analysis, and finally a model for measuring absorption capacity is suggested. The results show effective dimensions in 5 different section. Studies depict that the most important one is keeping which could be a fundamental for long-term policies of 1404.

Vibration Serviceability of Long Span Cable Bridges using Long-term Monitoring Data

2019 ◽  
Author(s):  
Eui-seung Hwang ◽  
Sun-Kon Kim ◽  
Do-Young Kim ◽  
Ki-Jung Park
Keyword(s):  
Monitoring Data ◽  
Suspension Bridges ◽  
Span Length ◽  
Bridge Design ◽  
Long Span ◽  
Vibration Serviceability ◽  
Long Term Monitoring ◽  
Deflection Limit ◽  
Term Monitoring

<p>Along with building slender and longer span structures, vibration serviceability becomes more important considerations in bridge design and maintenance. In this study, vibration serviceability and deflection limit for long span cable bridges are investigated using long-term monitoring data such as accelerations and displacements of bridges. Exampled bridges are Yi Sun-Sin Grand Bridge (suspension bridge, main span length=1,545m) and 2<sup>nd</sup> Jindo Grand Bridge (cable stayed bridge, main span length=344m). Long-term data are analyzed and compared with various design codes, guidelines, and other research results. Probability of exceedance are calculated for each criterion. Regarding on deflection limits, Korean Bridge Design Code (Limit State Design) specifies L/400 and L/350 for cable stayed and suspension bridges, respectively. Saadeghvaziri suggested deflection limit based on natural frequency, acceleration limit of 0.5 m/s² and vehicle speed. Various human comfort criteria on vibration are also applied including ISO standards. The results of this study are expected to be useful reference for the design, the proper planning and deflection review of the long span cable bridges around the world. Further researches are required to find the optimum deflection or vibration criteria for long span bridge and their effects on bridge clearance and elevation.</p>

Proposed evaluation methods for vibration serviceability of long span cable bridges

2021 ◽  
Author(s):  
E.-S. Hwang ◽  
M. T. Hwang ◽  
D. Y. Kim ◽  
K. J. Park
Keyword(s):  
Heavy Traffic ◽  
Damping Ratio ◽  
Flexible Structures ◽  
Evaluation Methods ◽  
Monitoring Data ◽  
Long Span ◽  
Vibration Serviceability ◽  
Long Term Monitoring ◽  
Term Monitoring

<p>Vibration serviceability becomes more important considerations in design and maintenance, especially for slender and flexible structures such as long span cable bridges. In this study, various evaluation methods for vibration serviceability for long span cable bridges are proposed. These methods are based on short and long-term monitoring data such as accelerations and displacements of bridges. Proposed methods include (1) method of evaluating vibration amplitude based on Reiher-Meister curves, (2) method of evaluating variations in natural frequencies and damping ratio,</p><p>(3) method of weighted rms(root-mean-square) acceleration based on ISO 2631-1, and (4) probabilistic analysis using long-term monitoring data. These methods are applied to example cable bridge and cases of normal traffic, heavy traffic, windy condition and sudden abnormal vibration are considered. The results of this study are expected to be implemented to real bridge monitoring system for real-time and periodic evaluation of vibration serviceability.</p>

scholarly journals Early Predictors of Long-Term Disability After Injury

2003 ◽  
Vol 12 (3) ◽  
pp. 197-205 ◽  
Author(s):  
Therese S. Richmond ◽  
Donald Kauder ◽  
Janice Hinkle ◽  
Justine Shults
Keyword(s):  
At Risk ◽  
Structural Equation Modeling ◽  
Psychological Distress ◽  
Structural Equation ◽  
Equation Modeling ◽  
Specific Information ◽  
Care Providers ◽  
Early Predictors ◽  
Patients At Risk

• Background Improving outcomes after serious injury is important to patients, patients’ families, and healthcare providers. Identifying early risk factors for long-term disability after injury will help critical care providers recognize patients at risk. • Objectives To identify early predictors of long-term disability after injury and to ascertain if age, level of disability before injury, posttraumatic psychological distress, and social network factors during hospitalization and recovery significantly contribute to long-term disability after injury. • Methods A prospective, correlational design was used. Injury-specific information on 63 patients with serious, non–central nervous system injury was obtained from medical records; all other data were obtained from interviews (3 per patient) during a 2½-year period. A model was developed to test the theoretical propositions of the disabling process. Predictors of long-term disability were evaluated using path analysis in the context of structural equation modeling. • Results Injuries were predominately due to motor vehicle crashes (37%) or violent assaults (21%). Mean Injury Severity Score was 13.46, and mean length of stay was 12 days. With structural equation modeling, 36% of the variance in long-term disability was explained by predictors present at the time of injury (age, disability before injury), during hospitalization (psychological distress), or soon after discharge (psychological distress, short-term disability after injury). • Conclusions Disability after injury is due partly to an interplay between physical and psychological factors that can be identified soon after injury. By identifying these early predictors, patients at risk for suboptimal outcomes can be detected.

scholarly journals Long-term monitoring data logs of a recirculating artificial seawater based colonial ascidian aquaculture

Data in Brief ◽  
2021 ◽  
Vol 38 ◽  
pp. 107372
Author(s):  
Marta K. Wawrzyniak ◽  
Lluìs Albert Matas Serrato ◽  
Simon Blanchoud
Keyword(s):  
Artificial Seawater ◽  
Monitoring Data ◽  
Colonial Ascidian ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Reliability of long-term monitoring data

2013 ◽  
Vol 4 (1) ◽  
pp. 69-75 ◽  
Author(s):  
Peter Anderegg ◽  
Rolf Brönnimann ◽  
Urs Meier
Keyword(s):  
Monitoring Data ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Influences on Attitudes Regarding Potential COVID-19 Vaccination in the United States

Vaccines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 582 ◽  
Author(s):  
Kendall Pogue ◽  
Jamie L. Jensen ◽  
Carter K. Stancil ◽  
Daniel G. Ferguson ◽  
Savannah J. Hughes ◽  
...  
Keyword(s):  
United States ◽  
Structural Equation Modeling ◽  
Side Effects ◽  
Structural Equation ◽  
The United States ◽  
Equation Modeling ◽  
Vaccine Acceptance ◽  
The World ◽  
Short And Long Term

The COVID-19 pandemic continues to ravage the world, with the United States being highly affected. A vaccine provides the best hope for a permanent solution to controlling the pandemic. However, to be effective, a vaccine must be accepted and used by a large majority of the population. The aim of this study was to understand the attitudes towards and obstacles facing vaccination with a potential COVID-19 vaccine. To measure these attitudes a survey was administered to 316 respondents across the United States by a survey corporation. Structural equation modeling was used to analyze the relationships of several factors with attitudes toward potential COVID-19 vaccination. Prior vaccine usage and attitudes predicted attitudes towards COVID-19 vaccination. Assessment of the severity of COVID-19 for the United States was also predictive. Approximately 68% of all respondents were supportive of being vaccinated for COVID-19, but side effects, efficacy and length of testing remained concerns. Longer testing, increased efficacy and development in the United States were significantly associated with increased vaccine acceptance. Messages promoting COVID-19 vaccination should seek to alleviate the concerns of those who are already vaccine-hesitant. Messaging directed at the benefits of vaccination for the United States as a country would address the second predictive factor. Enough time should be taken to allay concerns about both short- and long-term side effects before a vaccine is released.

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