Factors Affecting the Quality of Real Estate Area Mapping in Real Estate Surveying and Mapping and Control Measures

2021 ◽  
Keyword(s):  
Real Estate ◽  
Control Measures ◽  
Factors Affecting ◽  
And Control ◽  
Surveying And Mapping

Relationships among quality of life, severity, and control measures in asthma: An evaluation using factor analysis

2005 ◽  
Vol 115 (5) ◽  
pp. 1049-1055 ◽  
Author(s):  
M SCHATZ ◽  
D MOSEN ◽  
A APTER ◽  
R ZEIGER ◽  
W VOLLMER ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Control Measures ◽  
And Control

Freedom and control: a state of balance in public space

Facilities ◽  
2014 ◽  
Vol 32 (11/12) ◽  
pp. 606-623 ◽  
Author(s):  
Tianjiao Zhao ◽  
Kin Wai Michael Siu
Keyword(s):  
Public Space ◽  
Urban Space ◽  
Open Space ◽  
Policy Design ◽  
Urban Life ◽  
Systematic Analysis ◽  
Content Type ◽  
Factors Affecting ◽  
And Control

Purpose – The purpose of this study is to determine how to achieve a balance between freedom and control in public space. It analyses the relationship between freedom and control to identify phenomena and offer users and policymakers instructions for achieving that balance. Public space, including privately owned public space, is important to urban living. People have both the right to use public space and the responsibility to protect it. Both freedom and control should exist in public space in an appropriate combination. It is impossible and inappropriate for us to ask for absolute freedom or endure unreasonable control. Design/methodology/approach – A case study of Hong Kong’s Mass Transit Railway (MTR) reveals typical freedom/control relationships. Quantitative descriptions are given based on field observations. Findings – Freedom and control are primary factors affecting the quality of urban life and management of city space. They depend on and conflict with each other. The balance between freedom and control is a balance between diverse spaces. The “freedom space” belonging to both citizens and authorities determines whether freedom and control are balanced. Ethics and strategies constitute control. Only when each authority and user obtains a proper freedom space can freedom and control achieve balance in public space. Research limitations/implications – Freedom and control differ across cities because they are both affected by culture, history and tradition. As each city has its own characteristics, the freedom and control in each open space are distinctive. Balancing freedom and control requires an understanding of a city’s background and the era. While this paper does not attempt to achieve this understanding, further studies could devote more attention to dimensions of time and location. Practical implications – The findings provide recommendations for users, policymakers and construction and management companies that will allow the management of harmonious and high-quality open spaces. Social implications – Freedom and control are two main factors affecting quality of life. The balance between freedom and control may bring a harmony and stable society environment. It would benefit both the authority and the people a lot. Originality/value – This study provides a systematic analysis of freedom and control in public space and makes a valuable contribution to quality urban space policy, design and management.

scholarly journals RESEARCH APPROACHES TO MONETARY FLOW OPTIMIZATION SUBJECT TO SELECTED FACTORS AND CONTROL MEASURES REDUCING THE RISK OF BANKRUPTCY OF THE ORGANIZATION

2017 ◽  
pp. 109-119
Author(s):  
Lyudmila Ivanovna Fedorova ◽  
Svetlana Vyacheslavovna Dzhezheliy
Keyword(s):  
Cash Flow ◽  
Cash Flows ◽  
Control Measures ◽  
Managerial Decision ◽  
Flow Management ◽  
Managerial Decision Making ◽  
Cash Flow Management ◽  
Rational Management ◽  
And Control

In modern conditions the competitiveness of organizations is provided by rational management decisions, which are taken depending on various factors and their impact on the cash flows of the organization. The theme of the study of factors and control measures influencing cash flow management for reducing the risk of bankruptcy is in all respects one of the most controversial and much cited. In the course of study the authors have summarized the approaches of Russian and foreign authors towards the concept "cash flow", revealed certain problems in the quality of decisions, arranged the factors increasing the degree of their effectiveness and directly affecting the financial performance of the organization. Application in the work of the organization of individual elements ("morale") of the group of environmental factors and standards of internal reporting will improve the efficiency of managerial decision-making in part of cash flows from different activities.

scholarly journals Analysis of Budget and Cost Control of New Green Building Projects

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Jing Liu ◽  
Pengfei Wang ◽  
Tao Li ◽  
Guiquan Ma
Keyword(s):  
Cost Control ◽  
Public Awareness ◽  
Green Building ◽  
Control Measures ◽  
Environment Protection ◽  
Building Projects ◽  
The Cost ◽  
And Control ◽  
Building Engineering

With the increment of public awareness towards ecological environment protection, green building has gradually become an integral part of construction development. Green building refers to a form of architecture that conforms to the current social development form and meets the requisites of energy conservation and environmental protection. The budget and cost control of green building construction project play very important roles in improving the quality of the construction and reducing the cost of the project. This paper mainly analyzes the problems and control measures in the new green building engineering budget and cost control.

scholarly journals Internet Hospitals Help Prevent and Control the Epidemic of COVID-19 in China: Multicenter User Profiling Study (Preprint)

2020 ◽  
Author(s):  
Kai Gong ◽  
Zhong Xu ◽  
Zhefeng Cai ◽  
Yuxiu Chen ◽  
Zhanxiang Wang
Keyword(s):  
Prevention And Control ◽  
Control Measures ◽  
User Profiling ◽  
Kappa Score ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
The Public ◽  
The Social ◽  
Novel Coronavirus ◽  
And Control

BACKGROUND During the spread of the novel coronavirus disease (COVID-19), internet hospitals in China were engaged with epidemic prevention and control, offering epidemic-related online services and medical support to the public. OBJECTIVE The aim of this study is to explore the role of internet hospitals during the prevention and control of the COVID-19 outbreak in China. METHODS Online epidemic-related consultations from multicenter internet hospitals in China during the COVID-19 epidemic were collected. The counselees were described and classified into seven type groups. Symptoms were recorded and compared with reported patients with COVID-19. Hypochondriacal suspicion and offline visit motivation were detected within each counselees’ group to evaluate the social panic of the epidemic along with the consequent medical-seeking behaviors. The counselees’ motivation and the doctors’ recommendation for an offline visit were compared. Risk factors affecting the counselees’ tendency of hypochondriacal suspicion and offline visit motivation were explored by logistic regression models. The epidemic prevention and control measures based on internet hospitals were listed, and the corresponding effects were discussed. RESULTS A total of 4913 consultations were enrolled for analysis with the median age of the counselees at 28 years (IQR 22-33 years). There were 104 (2.12%) healthy counselees, 147 (2.99%) hypochondriacal counselees, 34 (0.69%) exposed counselees, 853 (17.36%) mildly suspicious counselees, 42 (0.85%) moderately suspicious counselees, 3550 (72.26%) highly suspicious counselees, and 183 (3.72%) severely suspicious counselees. A total of 94.20% (n=4628) of counselees had epidemic-related symptoms with a distribution similar to those of COVID-19. The hypochondriacal suspicion (n=2167, 44.11%) was common. The counselees’ motivation and the doctors’ recommendation for offline visits were inconsistent (<i>P</i>&lt;.001) with a Cohen kappa score of 0.039, indicating improper medical-seeking behaviors. Adult counselees (odds ratio [OR]=1.816, <i>P</i>&lt;.001) with epidemiological exposure (OR 7.568, <i>P</i>&lt;.001), shortness of breath (OR 1.440, <i>P</i>=.001), diarrhea (OR 1.272, <i>P</i>=.04), and unrelated symptoms (OR 1.509, <i>P</i>&lt;.001) were more likely to have hypochondriacal suspicion. Counselees with severe illnesses (OR 2.303, <i>P</i>&lt;.001), fever (OR 1.660, <i>P</i>&lt;.001), epidemiological exposure history (OR 1.440, <i>P</i>=.01), and hypochondriacal suspicion (OR 4.826, <i>P</i>&lt;.001) were more likely to attempt an offline visit. Reattending counselees (OR 0.545, <i>P</i>=.002) were less motivated to go to the offline clinic. CONCLUSIONS Internet hospitals can serve different types of epidemic counselees, offer essential medical supports to the public during the COVID-19 outbreak, reduce the social panic, promote social distancing, enhance the public’s ability of self-protection, correct improper medical-seeking behaviors, reduce the chance of nosocomial cross-infection, and facilitate epidemiological screening, thus, playing an important role on preventing and controlling COVID-19.

Dairy Safety Prediction Based on Machine Learning Combined with Chemicals

2020 ◽  
Vol 16 (5) ◽  
pp. 664-676
Author(s):  
Jiahui Chen ◽  
Guangya Zhou ◽  
Jiayang Xie ◽  
Minjia Wang ◽  
Yanting Ding ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Model ◽  
Dairy Products ◽  
Control Measures ◽  
Classification Model ◽  
Sampling Inspection ◽  
Prevention And Control Measures ◽  
Common Items ◽  
And Control

Background: Dairy safety has caused widespread concern in society. Unsafe dairy products have threatened people's health and lives. In order to improve the safety of dairy products and effectively prevent the occurrence of dairy insecurity, countries have established different prevention and control measures and safety warnings. Objective: The purpose of this study is to establish a dairy safety prediction model based on machine learning to determine whether the dairy products are qualified. Methods: The 34 common items in the dairy sampling inspection were used as features in this study. Feature selection was performed on the data to obtain a better subset of features, and different algorithms were applied to construct the classification model. Results: The results show that the prediction model constructed by using a subset of features including “total plate”, “water” and “nitrate” is superior. The SN, SP and ACC of the model were 62.50%, 91.67% and 72.22%, respectively. It was found that the accuracy of the model established by the integrated algorithm is higher than that by the non-integrated algorithm. Conclusion: This study provides a new method for assessing dairy safety. It helps to improve the quality of dairy products, ensure the safety of dairy products, and reduce the risk of dairy safety.

Sign in / Sign up

Export Citation Format

Share Document