scholarly journals An Entropy-Based Design Evaluation Model for Architectural Competitions through Multiple Factors

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1064 ◽  
Author(s):  
Orkan Zeynel Güzelci ◽  
Sinan Mert Şener
Keyword(s):  
Evaluation Model ◽  
Evaluation Process ◽  
Design Evaluation ◽  
Objective Method ◽  
Subjective Responses ◽  
Multiple Factors ◽  
Architectural Competitions ◽  
The Relationship ◽  
Weight Coefficients ◽  
Multiple Factor

Generally, the evaluations in architectural competitions are based on quality where many criteria are involved. Additionally, many other inter-related criteria, identified by the members of the jury, emerge during jury evaluation. Hence, a great number of criteria play a role, with varying degrees of importance, in the evaluation process. The order of importance and weights of criteria (factors) in the evaluation phases are not fixed and differ according to the approaches of the jury members. The objective of this study is to investigate whether subjective means of evaluation can be associated with an objective and computable evaluation model. Entropy, an objective method used to measure disorder in buildings, offers significant potential in enhancing the comprehensibility of subjective tendencies in jury evaluation of architectural competitions. Previous studies have identified an inverted U relationship between entropy and subjective responses based on single and multiple factors. The Entropy-Based Design Evaluation Model (EBDEM), a method, analyzes the level of objectivity in jury evaluation and questions the predictability of evaluations through examining the relationship between the entropy values of projects and success outcomes. The Weighted Overall Entropy (WOE) was obtained by multiplying multiple factor entropy values with different weight coefficients with the purpose of ranking each project on an inverted U graph similar to jury results. The relationship between WOE values calculated and the ranking of the projects in the competitions were investigated. The findings within this study indicate that there are no relationships between single factor entropy values and ranking of the projects. Additionally, it was found that WOE values calculated for single-competition compared to multiple-competitions were more similar to jury evaluation results.

Research on Related Model for Urban Public Crisis Handle Mechanism

2014 ◽  
Vol 989-994 ◽  
pp. 5540-5543
Author(s):  
Yong Chang Ren
Keyword(s):  
Crisis Management ◽  
Evaluation Model ◽  
Point Of View ◽  
Theoretical Point ◽  
Analysis Model ◽  
The Public ◽  
Public Crisis ◽  
Crisis Events ◽  
Response And Recovery ◽  
The Relationship

China is in a critical period of urbanization, and various social contradictions continue to be accumulated, emerged and enlarged, so public crisis management mechanism has been highly valued by governments at all levels with the public crisis events are occurred frequently. The paper conducts study for the problems in the current urban public crisis handle mechanism. First, the evaluation model of crisis management can be researched, and crisis management can be divided into four stages to evaluate respectively, they are Reduction, Readiness, Response and Recovery; then, we should research crisis prediction model to strengthen prediction, prevention and monitoring of the crisis before the crisis happened; finally, stakeholders analysis model should be studied, and scientific analyzing the interests of the various stakeholders and the relationship among them. From the theoretical point of view, the paper carries on a study for crisis handle mechanism to provide support for improving the crisis handle level.

The relationship of preoperative distress to endocrine and subjective responses to surgery: Support for Janis' theory

1988 ◽  
Vol 11 (6) ◽  
pp. 599-613 ◽  
Author(s):  
P. Salmon ◽  
S. Pearce ◽  
C. C. T. Smith ◽  
A. Heys ◽  
A. Manyande ◽  
...  
Keyword(s):  
Subjective Responses ◽  
Relationship Of ◽  
The Relationship

A cost evaluation model for IoT-enabled prefabricated construction supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wennan Zhang ◽  
Kai Kang ◽  
Ray Y. Zhong
Keyword(s):  
Hong Kong ◽  
Supply Chain ◽  
Input Data ◽  
Evaluation Model ◽  
Construction Cost ◽  
Influential Factors ◽  
System Boundary ◽  
Supply Chain System ◽  
Content Type ◽  
The Relationship

PurposeThis paper proposes an evaluation model for prefabricated construction to guide a supply chain with controllable costs. Prefabricated construction is prevalent due to area limitations. Nevertheless, the development is limited by budget control and identifying the factors affecting cost. The degree of close collaboration in the supply chain is closely interconnected with cost performance that includes direct and indirect factors. This paper not only quantizes these factors but also distinguishes the degree of influence of various factors.Design/methodology/approachSystem dynamics is applied to simulate and analyze the construction cost factors through Vensim software. It can also clarify the relationship between cost and other influencing factors. The input data are collected from an Internet of Things (IoT)-enabled system under a Building Information Modeling (BIM) system and Hong Kong government reports.FindingsSimulation results indicate that prefabricated construction cost is mainly influenced by government promotion degree (GPD), working pressure from on-site construction (WPOSC), prefab quality (PQ), load-bearing capacity per vehicle (LBPV) and mold quality (MQ). However, it is more sensitive toward GPD, which indicates that the government should take measures to promote this construction technology. On-site worker management is also essential for the assembly process and indirectly influences the construction cost.Research limitations/implicationsThis paper quantifies indirect influential factors to clarify the specific features for prefabricated construction. The investigated factors are limited.Practical implicationsThe contractor can identify all factors and classify the levels of influence to make decisions under the supply chain system boundary.Social implicationsThe input data are collected from an IoT-enabled system under a BIM system and Hong Kong government reports. Thus, the relationship between construction cost influential factors can be investigated.Originality/valueThis paper quantifies indirect influencing factors and clarifies the specific features in prefabricated construction. The contractor could identify these factors to make decisions and classify the levels of influence under the supply chain system boundary.

MICROBIOMA: AMIGO O ENEMIGO EN PACIENTES CON COVID - 19

SCIENTIARVM ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 15-21
Author(s):  
Katherine Milagros Quispe Medina ◽  
◽  
Angel Sixto Mamani Ruelas ◽  
Brenda Jasmin Alvarez Vera ◽  
Yasmin Yessenia Silvestre Gutierrez ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Gastrointestinal Tract ◽  
Molecular Biology ◽  
Gut Microbiome ◽  
Next Generation ◽  
Multiple Factors ◽  
Lung Microbiome ◽  
The Relationship ◽  
Generation Sequencing ◽  
Clinical Cases

The research of the microbiome concerning various diseases has grown in the last ten years due to the advances in molecular biology and next-generation sequencing, finding interactions with various pathologies. The new coronavirus 19 (SARS-COV 2) pandemic has aroused interest in the study of multiple factors that could influence in the development of symptoms mainly due to the interaction of the microbiome whether of the respiratory or gastrointestinal tract finally in the prognosis. Therefore, in this study, we focus on reviewing and analyzing the current bibliography of research and clinical cases about the relationship between the lung and gut microbiome and COVID-19, highlighting its effect on infected patients, aiming to contribute to this new line of research. Keywords: Microbiome, COVID-19, SARS-COV 2, gut microbiome, lung microbiome.

The Relationship between Ecosystem Health and Ecological Safety

2012 ◽  
Vol 260-261 ◽  
pp. 781-785
Author(s):  
Ying Song ◽  
Rui Ying Chang ◽  
Zheng Da Yu ◽  
Ren Qing Wang ◽  
Jian Liu
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Ecosystem Health ◽  
Evaluation Model ◽  
Necessary Condition ◽  
Ecological Safety ◽  
Natural Ecosystems ◽  
Environment Friendly ◽  
Social And Economic Development ◽  
The Relationship

With the rapid economic development and the highlighting environmental issues, more attention has been paid to ecosystem health and ecological safety. Along with the development of the concept of sustainable development, people gradually realized the importance of natural ecosystems. Ecological safety is the basis of sustainable development. It is a necessary condition to build a harmonious and environment friendly society. A healthy ecosystem is the basic guarantee of the realization of human social and economic development. This paper analyzes the relationship between ecosystem health and ecological safety, and finds that there are many connections and differences between them.According to the comparison of indices in the same evaluation model, the differences are analyzed. The paper helps to avoid the confusion between this two terms, and aims to make the goal of environmental management clear.

scholarly journals An Examination of Relationship between Career Maturity and Multiple Factors by Feature Selection

2020 ◽  
Author(s):  
Shuxing Zhang ◽  
Qinneng Xu
Keyword(s):  
Feature Selection ◽  
Career Maturity ◽  
Selection Methods ◽  
School Students ◽  
Feasible Method ◽  
Multiple Factors ◽  
Sample Data ◽  
Forward Stepwise ◽  
The Relationship ◽  
Significant Factors

The purpose of this study is to investigate the relationship between career maturity and a branch of factors among senior school students. The sample data were collected from a total of 189 students. The linear relationship between career maturity and 72 factors were tested by using feature selection methods. LASSO and forward stepwise were compared based on crossvalidation. The results showed that LASSO was a feasible method to select the significant factors, and 12 of the total 72 factors were found to be important in predicting career maturity.

scholarly journals Modeling Judges’ Scores in Artistic Gymnastics

2019 ◽  
Vol 12 (1) ◽  
pp. 1-9
Author(s):  
Melanie Mack ◽  
Maximilian Bryan ◽  
Gerhard Heyer ◽  
Thomas Heinen
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Evaluation Process ◽  
Model Calculations ◽  
Kinematic Data ◽  
Complete Dataset ◽  
Exploratory Approach ◽  
Movement Kinematic ◽  
Alternative Approaches ◽  
The Relationship

Background: In artistic gymnastics, performance is observed and evaluated by judges based on criteria defined in the code of points. However, there is a manifold of influences discussed in the literature that could potentially bias the judges’ evaluations in artistic gymnastics. In this context, several authors claim the necessity for alternative approaches to judging gymnastics utilizing biomechanical methods. Objective: The aim of this study was to develop and evaluate a model-based approach to judge gymnastics performance based on quantitative kinematic data of the performed skills. Methods: Four different model variants based on kinematic similarity calculated by a multivariate exploratory approach and the Recurrent Neural Network method were used to evaluate the relationship between the movement kinematics and the judges’ scores. The complete dataset consisted of movement kinematic data and judgment scores of a total of N = 173 trials of three different skills and routines from women’s artistic gymnastics. Results: The results exhibit a significant relationship between the predicted score and the actual score for six of the twelve model calculations. The different model variants yielded a different prediction performance in general across all skills and also in terms of the different skills. In particular, only the Recurrent Neural Network model exhibited significant correlation values between the actual and the predicted scores for all three investigated skills. Conclusion: The results were discussed in terms of the differences of the models as well as the various factors that might play a role in the evaluation process.

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