scholarly journals Risk Quantification and Analysis of Coupled Factors Based on the DEMATEL Model and a Bayesian Network

2019 ◽  
Vol 10 (1) ◽  
pp. 317 ◽  
Author(s):  
Jian Jiao ◽  
Mengwei Wei ◽  
Yuan Yuan ◽  
Tingdi Zhao
Keyword(s):  
Risk Factors ◽  
Bayesian Network ◽  
Large Scale ◽  
Assessment Model ◽  
Relationship Matrix ◽  
Industrial Systems ◽  
Large Scale Systems ◽  
Indirect Coupling ◽  
Coupling Characteristic ◽  
The Relationship

With the developing of high integrations in large scale systems, such as aircraft and other industrial systems, there are new challenges in safety analysis due to the complexity of the mission process and the more complicated coupling characteristic of multi-factors. Aiming at the evaluation of coupled factors as well as the risk of the mission, this paper proposes a combined technology based on the Decision Making Trial and Evaluation Laboratory (DEMATEL) model and the Bayesian network (BN). After identifying and classifying the risk factors from the perspectives of humans, machines, the environment, and management, the DEMATEL technique is adopted to assess their direct and/or indirect coupling relationships to determine the importance and causality of each factor; moreover, the relationship matrix in the DEMATEL model is used to generate the BN model, including its parameterization. The inverse reasoning theory is then implemented to derive the probability, and the risk of the coupled factors is evaluated by an assessment model integrating the probability and severity. Furthermore, the key risk factors are identified based on the risk radar diagram and the Pareto rule to support the preventive measurements. Finally, an application of the take-off process of aircraft is provided to demonstrate the proposed method.

The inverse modeling problem

SIMULATION ◽  
1970 ◽  
Vol 15 (6) ◽  
pp. 264-268 ◽  
Author(s):  
Bernard C. Patten
Keyword(s):  
Real World ◽  
Inverse Modeling ◽  
Simulation Modeling ◽  
Large Scale ◽  
State Variables ◽  
Large Scale Systems ◽  
Natural Systems ◽  
Valid Model ◽  
The Relationship ◽  
Definite Solution

In simulation modeling of very large-scale systems, such as social and natural systems, reductions in scale must be so severe that state variables of the abstraction (model) often cannot be translated back to variables that have real-world significance. Model behavior may not much resemble anything that occurs naturally. If y is a real system and x a model of it, the two can be viewed as related by a set of homomorphic corres pondences M. Then, xMy means x "is a model of" y. Behavior of x pertains to that of y only as M is a valid model, and the relationship is implicit in an inverse model M-1, defined from the fact that xMy implies yM-1x (y "is modeled by" x). To make it explicit, that is to interpret model behavior in terms of real-world variables, means in some sense to be able to identify M-1. One approach to estimating it is suggested, but a definite solution is not reached.

scholarly journals Integration of Interpretive Structural Modeling with Fuzzy Bayesian Network for Risk Assessment of Tunnel Collapse

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Leping He ◽  
Tao Tang ◽  
Qijun Hu ◽  
Qijie Cai ◽  
Zhijun Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Bayesian Network ◽  
Risk Model ◽  
Multicriteria Decision Making ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Construction Risk ◽  
Tunnel Collapse ◽  
The Relationship

Frequent collapse accidents in tunnels are associated with many construction risk factors, and the interrelationship among these risk factors is complex and ambiguous. This study’s aim is to clarify the relationship among risk factors to reduce the tunnel collapse risk. A multicriteria decision-making method is proposed by combining interpretive structural modeling (ISM) and fuzzy Bayesian network (FBN). ISM is used to determine the hierarchical relationships among risk factors. FBN quantitatively analyzes the strength of the interaction among risk factors and conducts risk analysis. The ISM-FBN method contains three steps: (1) drawing the ISM-directed graph; (2) obtaining the probability of the FBN nodes; and (3) using GeNle to implement risk analysis. The proposed method is also used to assess the collapse risk and detect the critical factors in the Canglongxia Tunnel, China. This method’s tunnel collapse risk model can provide managers with clear risk information and better realize project management.

Overview of Accelerator Applications in Energy

2015 ◽  
Vol 08 ◽  
pp. 1-25 ◽  
Author(s):  
Robert W. Garnett ◽  
Richard L. Sheffield
Keyword(s):  
Large Scale ◽  
Oil And Gas ◽  
High Energy ◽  
Small Scale ◽  
Future Directions ◽  
Industrial Systems ◽  
Large Scale Systems ◽  
Oil And Gas Exploration ◽  
Exploration And Production ◽  
Accelerator Technology

An overview of the application of accelerators and accelerator technology in energy is presented. Applications span a broad range of cost, size, and complexity and include large-scale systems requiring high-power or high-energy accelerators to drive subcritical reactors for energy production or waste transmutation, as well as small-scale industrial systems used to improve oil and gas exploration and production. The enabling accelerator technologies will also be reviewed and future directions discussed.

scholarly journals The relationship between religiosity and cardiovascular risk factors in Japan: a large–scale cohort study

2015 ◽  
Vol 9 (7) ◽  
pp. 553-562 ◽  
Author(s):  
Daiki Kobayashi ◽  
Takuro Shimbo ◽  
Osamu Takahashi ◽  
Roger B. Davis ◽  
Christina C. Wee
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Large Scale ◽  
The Relationship

scholarly journals Analysis of the prevalence and risk factors of osteoarthritis in a population

2019 ◽  
Vol 13 (2) ◽  
pp. 105-111 ◽  
Author(s):  
O. O. Portyannikova ◽  
S. M. Tsvinger ◽  
A. V. Govorin ◽  
E. N. Romanova
Keyword(s):  
Risk Factors ◽  
Large Scale ◽  
Metabolic Disorders ◽  
Structural Changes ◽  
Professional Activities ◽  
Ethnic Factors ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

The review contains data from large-scale foreign and Russian studies of the epidemiology of osteoarthritis (OA). It considers the role of modifiable and non-modifiable risk factors for OA, such as age, sex, hormonal status, obesity, etc. There are data on genetic susceptibility to OA and on congenital anomalies that contribute to joint structural changes. Data on the impact of racial and ethnic factors on the development and progression of OA are analyzed. The role of metabolic disorders in the pathogenesis of this disease is highlighted. Data on the relationship of OA to patients' professional activities are summarized.

scholarly journals Additive Bayesian network analysis of the relationship between bovine respiratory disease and management practices in dairy heifer calves at pre-weaning stage

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Emi Yamaguchi ◽  
Yoko Hayama ◽  
Yumiko Shimizu ◽  
Yoshinori Murato ◽  
Kotaro Sawai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Weight ◽  
Bayesian Network ◽  
Respiratory Disease ◽  
Odds Ratio ◽  
Management Practices ◽  
Daily Growth ◽  
Log Odds ◽  
Colostrum Feeding ◽  
The Relationship

Abstract Background Nursery farms that accept nursing and growing pre-weaned heifer calves from private dairy farms must work to prevent bovine respiratory disease (BRD). Knowledge of the BRD-associated risk factors related to calf management and calves’ condition will help to develop appropriate neonatal management practices at original farms and to identify calves at higher risk for BRD at nursery farms. In this study, the relationship between BRD and calf management practices (colostrum feeding, dam parity, serum total protein concentration at introduction (TP), body weight at introduction, introduction season, and daily average growth) was investigated using observational data from pre-weaned dairy calves introduced into a nursery farm in Hokkaido, Japan between 2014 and 2018 (n = 3185). Using additive Bayesian network (ABN) analysis, which is a multivariate statistical modelling approach, the direct and indirect associations between these factors were assessed. Results Colostrum feeding contributed to an increase in TP (correlation 1.02 [95 % CI, 0.94;1.10]), which was negatively associated with BRD directly (log odds ratio − 0.38 [− 0.46;−0.31]) and indirectly through increasing daily growth (correlation 0.12 [0.09;0.16]). Calves of multiparous dams had higher body weight at introduction (correlation 0.82 [0.74;0.89]), which indirectly reduced BRD risk through the increasing daily growth (correlation 0.17 [0.14;0.21]). Calves introduced during winter had the highest risk for BRD (log odds ratio 0.29 [0.15;0.44]), while those introduced in summer had the lowest risk (log odds ratio − 0.91 [− 1.06;−0.75]). The introduction season was also associated with BRD indirectly through dam parity, body weight at introduction, and daily growth. Conclusions The following calf management practices are recommended for preventing BRD in pre-weaned calves at nursery farms: (1) encouraging colostrum feeding to neonatal calves at their original farms; and (2) identifying calves with higher BRD risk, i.e., those without feeding colostrum, born to primiparous cattle, with low body weight at introduction, and/or introduced in winter, and paying intensive attention to the calves for rapid detection of BRD. ABN analysis applied enabled us to understand the complex inter-relationships between BRD incidence and the risk factors, which will help to reduce BRD incidence and to rear healthy calves at nursery farms.

Relationship between total plasma homocysteine and the risk of aneurysms – a meta-analysis

VASA ◽  
2020 ◽  
pp. 1-6
Author(s):  
Hanji Zhang ◽  
Dexin Yin ◽  
Yue Zhao ◽  
Yezhou Li ◽  
Dejiang Yao ◽  
...  
Keyword(s):  
Large Scale ◽  
Meta Analysis ◽  
Single Species ◽  
Total Plasma ◽  
Control Groups ◽  
Randomized Controlled ◽  
Randomized Controlled Studies ◽  
The Difference ◽  
The Relationship ◽  
Healthy Participants

Summary: Our meta-analysis focused on the relationship between homocysteine (Hcy) level and the incidence of aneurysms and looked at the relationship between smoking, hypertension and aneurysms. A systematic literature search of Pubmed, Web of Science, and Embase databases (up to March 31, 2020) resulted in the identification of 19 studies, including 2,629 aneurysm patients and 6,497 healthy participants. Combined analysis of the included studies showed that number of smoking, hypertension and hyperhomocysteinemia (HHcy) in aneurysm patients was higher than that in the control groups, and the total plasma Hcy level in aneurysm patients was also higher. These findings suggest that smoking, hypertension and HHcy may be risk factors for the development and progression of aneurysms. Although the heterogeneity of meta-analysis was significant, it was found that the heterogeneity might come from the difference between race and disease species through subgroup analysis. Large-scale randomized controlled studies of single species and single disease species are needed in the future to supplement the accuracy of the results.

Hemmkörperentwicklung bei Hämophilie-Patienten nach Präparate wechsel

2012 ◽  
Vol 32 (S 01) ◽  
pp. S39-S42 ◽  
Author(s):  
S. Kocher ◽  
G. Asmelash ◽  
V. Makki ◽  
S. Müller ◽  
S. Krekeler ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Observational Study ◽  
Retrospective Observational Study ◽  
Frequent Change ◽  
Patient Age ◽  
Treatment Regimens ◽  
Patient Âgé ◽  
The Relationship ◽  
Observation Period

SummaryThe retrospective observational study surveys the relationship between development of inhibitors in the treatment of haemophilia patients and risk factors such as changing FVIII products. A total of 119 patients were included in this study, 198 changes of FVIII products were evaluated. Results: During the observation period of 12 months none of the patients developed an inhibitor, which was temporally associated with a change of FVIII products. A frequent change of FVIII products didn’t lead to an increase in inhibitor risk. The change between plasmatic and recombinant preparations could not be confirmed as a risk factor. Furthermore, no correlation between treatment regimens, severity, patient age and comorbidities of the patients could be found.

Sign in / Sign up

Export Citation Format

Share Document