scholarly journals Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis

2020 ◽  
Vol 12 (6) ◽  
pp. 2427 ◽  
Author(s):  
Behrouz Pirouz ◽  
Sina Shaffiee Haghshenas ◽  
Sami Shaffiee Haghshenas ◽  
Patrizia Piro
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Relative Humidity ◽  
Development Process ◽  
Binary Classification ◽  
Daily Temperature ◽  
Maximum Daily Temperature ◽  
The Sustainable Development ◽  
Epidemic Diseases

Nowadays, sustainable development is considered a key concept and solution in creating a promising and prosperous future for human societies. Nevertheless, there are some predicted and unpredicted problems that epidemic diseases are real and complex problems. Hence, in this research work, a serious challenge in the sustainable development process was investigated using the classification of confirmed cases of COVID-19 (new version of Coronavirus) as one of the epidemic diseases. Hence, binary classification modeling was used by the group method of data handling (GMDH) type of neural network as one of the artificial intelligence methods. For this purpose, the Hubei province in China was selected as a case study to construct the proposed model, and some important factors, namely maximum, minimum, and average daily temperature, the density of a city, relative humidity, and wind speed, were considered as the input dataset, and the number of confirmed cases was selected as the output dataset for 30 days. The proposed binary classification model provides higher performance capacity in predicting the confirmed cases. In addition, regression analysis has been done and the trend of confirmed cases compared with the fluctuations of daily weather parameters (wind, humidity, and average temperature). The results demonstrated that the relative humidity and maximum daily temperature had the highest impact on the confirmed cases. The relative humidity in the main case study, with an average of 77.9%, affected positively, and maximum daily temperature, with an average of 15.4 °C, affected negatively, the confirmed cases.

scholarly journals IMPLICATION OF DEMOGRAPHIC DIMENSION IN SUSTAINABLE RURAL DEVELOPMENT. CASE STUDY: RÂŞCA VALLEY BASIN

2016 ◽  
Author(s):  
Florin Constantin MIHAI
Keyword(s):  
Sustainable Development ◽  
Rural Development ◽  
Development Process ◽  
Development Stage ◽  
Historical Events ◽  
Sustainable Rural Development ◽  
The Sustainable Development ◽  
Rural Space ◽  
Demographic Indicators

This paper aims to capture the importance of demographic dimension in thesustainable development process of the rural space. From a series ofstatistics data we realized an analysis of demographic indicators, which ithelped us to trace the development trends characteristic for our area ofstudy. To understand the evolution in time and the implications of humanresource in the process of development it was necessary referencing themwith national or local historical events. Demographic dimension analysishighlights the development stage of rural space and help the formulation ofthe future local policies that regard the sustainable development.

Functions of Public Service in the Sustainable Development of Regional Economy: A Case Study of Tianjin

2014 ◽  
Vol 472 ◽  
pp. 1105-1111 ◽  
Author(s):  
Xue Ping Liang
Keyword(s):  
Sustainable Development ◽  
Endogenous Growth ◽  
Public Service ◽  
Development Process ◽  
Public Services ◽  
Regional Economy ◽  
Public Affairs ◽  
The Sustainable Development ◽  
Good Environment

In the development process of regional economy, the adequate supply of public services can create a good environment, promote endogenous growth and improve the government's governance ability in public affairs. This paper mainly analyzes the function of public services in regional economy by taking Tianjin as an example.

National Far East Development Program and Sustainable Development Prospects

2019 ◽  
Vol 40 (3) ◽  
pp. 33-40 ◽  
Author(s):  
M. Yu. Dyakov ◽  
E. G. Mikhaylova
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Development Process ◽  
Far East ◽  
Development Program ◽  
The Sustainable Development ◽  
Development Goals ◽  
Economic Balance ◽  
Formal Requirements ◽  
Development Prospects

The article contains some comments on the project of the National Program for the Development of the Far East until 2025 and for the future till 2035. It is noted that the project does not meet the formal requirements of the program document, has a number of unreasonable proposals and measures, the implementation of which may threaten the sustainable development of the region. The authors believe that in the development process it is necessary to take into account the principles of environmental and economic balance. The conclusion is made about the feasibility of developing a methodological framework for evaluating such documents as a tool for achieving sustainable development goals.

scholarly journals A Framework for Assessing Commitment Indicators in Sustainable Development Decisions

2021 ◽  
Vol 13 (9) ◽  
pp. 5234
Author(s):  
Mustafa S. Al-Tekreeti ◽  
Salwa M. Beheiry ◽  
Vian Ahmed
Keyword(s):  
Sustainable Development ◽  
Performance Indicators ◽  
Energy Use ◽  
Capital Projects ◽  
The Sustainable Development ◽  
Corporate Leaders ◽  
Corporate Decisions ◽  
Waste Energy ◽  
Infrastructure Project

Numerous decision support systems have been developed to address the decision-making process in organizations. However, there are no developed mechanisms to track commitment down the line to the decisions made by corporate leaders. This paper is a portion of a study that establishes a framework for a comprehensive metric system to assess commitment to Sustainable Development (SD) decisions down the line in capital projects, and sets the groundwork for further development of performance indicators for SD outcomes. This ultimately leads to investigating the relationship between commitment to corporate decisions and better project performance in SD parameters. Hence, this study explores the literature to extract relevant parameters that reflect the degree of the project participants’ commitment to SD decisions and to develop commitment indicators. The study created then validated an index to track this commitment along the project stages: the Sustainable Development Commitment Tracking Tool (SDCTT). The SDCTT was tested on an infrastructure project case study. In this paper, techniques relevant to the first stage of projects (planning and definition) are presented. The SDCTT is the groundwork for the future development of performance indicators for SD outcomes, and within the postulated model should ultimately contribute towards reducing project waste, energy use, and carbon emissions.

scholarly journals Using citizen science data to monitor the Sustainable Development Goals: a bottom-up analysis

2021 ◽  
Author(s):  
Laura Ballerini ◽  
Sylvia I. Bergh
Keyword(s):  
Sustainable Development ◽  
Citizen Science ◽  
Sustainable Development Goals ◽  
Comparative Case Study ◽  
Science Data ◽  
The Sustainable Development ◽  
Case Study Analysis ◽  
Wide Range ◽  
Development Goals

AbstractOfficial data are not sufficient for monitoring the United Nations Sustainable Development Goals (SDGs): they do not reach remote locations or marginalized populations and can be manipulated by governments. Citizen science data (CSD), defined as data that citizens voluntarily gather by employing a wide range of technologies and methodologies, could help to tackle these problems and ultimately improve SDG monitoring. However, the link between CSD and the SDGs is still understudied. This article aims to develop an empirical understanding of the CSD-SDG link by focusing on the perspective of projects which employ CSD. Specifically, the article presents primary and secondary qualitative data collected on 30 of these projects and an explorative comparative case study analysis. It finds that projects which use CSD recognize that the SDGs can provide a valuable framework and legitimacy, as well as attract funding, visibility, and partnerships. But, at the same time, the article reveals that these projects also encounter several barriers with respect to the SDGs: a widespread lack of knowledge of the goals, combined with frustration and political resistance towards the UN, may deter these projects from contributing their data to the SDG monitoring apparatus.

scholarly journals Integrating Sustainable Development and Children’s Rights: A Case Study on Wales

2021 ◽  
Vol 10 (3) ◽  
pp. 100
Author(s):  
Rhian Croke ◽  
Helen Dale ◽  
Ally Dunhill ◽  
Arwyn Roberts ◽  
Malvika Unnithan ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Integrated Approach ◽  
Well Being ◽  
Children's Rights ◽  
Children’S Rights ◽  
The Sustainable Development ◽  
Rights Of The Child ◽  
Development Goals ◽  
Deliberative Processes

The global disconnect between the Sustainable Development Goals (SDGs) and the Convention on the Rights of the Child (CRC), has been described as ‘a missed opportunity’. Since devolution, the Welsh Government has actively pursued a ‘sustainable development’ and a ‘children’s rights’ agenda. However, until recently, these separate agendas also did not contribute to each other, although they culminated in two radical and innovative pieces of legislation; the Rights of Children and Young Persons (Wales) Measure (2013) and the Well-being and Future Generations (Wales) Act (2015). This article offers a case study that draws upon the SDGs and the CRC and considers how recent guidance to Welsh public bodies for implementation attempts to contribute to a more integrated approach. It suggests that successful integration requires recognition of the importance of including children in deliberative processes, using both formal mechanisms, such as local authority youth forums, pupil councils and a national youth parliament, and informal mechanisms, such as child-led research, that enable children to initiate and influence sustainable change.

scholarly journals Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2882
Author(s):  
Thi Thu Em Vo ◽  
Hyeyoung Ko ◽  
Jun-Ho Huh ◽  
Yonghoon Kim
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Sustainable Development ◽  
Species Classification ◽  
The Sustainable Development ◽  
Aquaculture System ◽  
Aquaculture Industry ◽  
Intelligent Technology ◽  
Applications Of Machine Learning ◽  
Aquaculture Production

Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have brought huge benefits to many fields including aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. This review provides and overview of the development of smart aquaculture and intelligent technology. We summarized and collected 100 articles about machine learning in smart aquaculture from nearly 10 years about the methodology, results as well as the recent technology that should be used for development of smart aquaculture. We hope that this review will give readers interested in this field useful information.

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