scholarly journals The Impact Factors Causing Transformation of Lao Traditional House - Case Study of Luangprabang, Lao PDR -

2015 ◽  
Vol 26 (2) ◽  
pp. 1-12 ◽  
Author(s):  
Xayaphone Vongvilay ◽  
Young-Hwan Kang ◽  
Joong-Hyun Choi
Keyword(s):  
Lao Pdr ◽  
Impact Factors ◽  
The Impact

scholarly journals Exploring Factors Influencing Scenarios Evolution of Waste NIMBY Crisis: Analysis of Typical Cases in China

2021 ◽  
Vol 18 (4) ◽  
pp. 2006
Author(s):  
Ling He ◽  
Qing Yang ◽  
Xingxing Liu ◽  
Lingmei Fu ◽  
Jinmei Wang
Keyword(s):  
Network Theory ◽  
Development Process ◽  
Dynamic Bayesian Network ◽  
Impact Factors ◽  
Social Stability ◽  
Ground Theory ◽  
Evolution Path ◽  
Dynamic Scenario ◽  
The Impact

As the impact factors of the waste Not-In-My-Back Yard (NIMBY) crisis are complex, and the scenario evolution path of it is diverse. Once the crisis is not handled properly, it will bring adverse effects on the construction of waste NIMBY facilities, economic development and social stability. Consequently, based on ground theory, this paper takes the waste NIMBY crisis in China from 2006 to 2019 as typical cases, through coding analysis, scenario evolution factors of waste NIMBY crisis are established. Furtherly, three key scenarios were obtained, namely, external situation (E), situation state (S), emergency management (M), what is more, scenario evolution law of waste NIMBY crisis is revealed. Then, the dynamic Bayesian network theory is used to construct the dynamic scenario evolution network of waste NIMBY crisis. Finally, based on the above models, Xiantao waste NIMBY crisis is taken as a case study, and the dynamic process of scenario evolution network is visually displayed by using Netica. The simulation results show that the scenario evolution network of Xiantao waste NIMBY crisis is basically consistent with the actual incident development process, which confirms the effectiveness and feasibility of the model.

scholarly journals Factors impacting community’s prioritization towards the benefits of Sustainable Urban Drainage Systems: A case study of Nhieu Loc – Thi Nghe sub-basin, Ho Chi Minh City

2020 ◽  
Vol 4 (4) ◽  
pp. First
Author(s):  
Nguyen Hoang My Lan ◽  
Ho Huu Loc ◽  
Phan Dinh Bich Van ◽  
Vo Le Phu ◽  
Le Van Trung
Keyword(s):  
Statistical Tests ◽  
Drainage System ◽  
Impact Factors ◽  
Urban Drainage ◽  
Run Off ◽  
Spss Software ◽  
The Impact ◽  
Priority Levels ◽  
Data Processing Methods

Sustainable Urban Drainage System (SUDS) includes various drainage techniques designed to reduce the run-off flow, improve the water quality, and provide amenity or landscape features. However, selecting the appropriate SUDS technique depends on not only the technical characteristics but also the community's perception and preference. Therefore, this study aims to determine the impact factors on the probability of households' prioritization towards SUDS benefits in the context of Nhieu Loc - Thi Nghe sub-basin, including the benefits of flood reduction, environmental enhancement, and landscape improvement. Data processing methods used in this study consist of statistical tests and ordinal regression using SPSS software. The regression results show that the overall accurate prediction rate for the 3 priority levels of SUDS benefits ranges from 50% to 70%. Factors that statistically significantly influence the priority include household income, knowledge of SUDS, frequency of flooding, depth of flooding, the distance to the nearest park, the distance to the nearest water body, and the distance to the nearest flooded location. In particular, the proximity to the nearest park affects the priority choice for all SUDS benefits with the principle that households near the park will probably choose higher priority to SUDS benefits than those living further.

scholarly journals ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1251-1255 ◽  
Author(s):  
J. Li ◽  
X. Wang ◽  
Y. Xu ◽  
Q. Li ◽  
C. He ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Delay Time ◽  
Environmental Data ◽  
Impact Factors ◽  
The Impact ◽  
The Relationship

Identifying the factors that cause taxiing delay on airports is a prerequisite for optimizing aircraft taxiing schemes, and helps improve the efficiency of taxiing system. Few of current studies had quantified the potential influencing factors and further investigated their intrinsic relationship. In view of these problems, this paper uses ADS-B data to calculate taxiing delay time by restoring taxiing route and identifying key status points, and further analyzes the impact factors of airport taxiing delay by investigating the relationship between delay time and environmental data such as weather, wind, visibility etc. The case study in Guangzhou Baiyun Airport validates the effectiveness of the proposed method.

scholarly journals Aquaculture promotion through Agricultural Technology Management Agency - a case study in Kerala

2016 ◽  
Vol 63 (3) ◽  
Author(s):  
Nisha Elizabeth Joshua ◽  
S.N. Ojha
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Technology Management ◽  
Fish Farming ◽  
Agricultural Technology ◽  
Impact Factors ◽  
Chain Management ◽  
Management Agency ◽  
The Impact

 　Agricultural Technology Management Agency (ATMA) is an autonomous body that has linkage with all the line departments, like Department of Fisheries (DoF), that works towards raising farmer’s income and involved in formulation of suitable strategies for empowering the farmers. In this study, ATMA impact factors among fish farmers were reviewed and discussed with the local officers. The impact factors considered were the types of culture, number of species cultured, yield disposition, marketing and expenditure in fish farming. It was observed, from a sample of 225 fish farmers, that Alappuzha, Ernakulam and Kollam districts responded more towards ‘type of culture’ and less towards ‘marketing’, whereas Kottayam and Thrissur districts responded more towards marketing. Among all the impact factors, expenditure on aquaculture was found to be significantly associated with income in all the five districts. This was followed by marketing (4 districts), yield disposition (3 districts), fish species cultured (3 districts) and type of culture (2 districts). On the contrary, it was observed that ATMA support was not similarly associated with these factors, especially for yield disposition and marketing in aquaculture. Therefore, suitable strategies are recommended to strengthen the supply chain management through ATMA.

scholarly journals The Impact of Preparedness in Defying COVID-19 Pandemic Expectations in the Lower Mekong Region: A Case Study

2021 ◽  
Author(s):  
Andrew Corwin ◽  
Tanarak Plipat ◽  
Rattanaxay Phetsouvanh ◽  
Mayfong Mayxay ◽  
Phonepadith Xangsayarath ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Avian Influenza ◽  
Capacity Building ◽  
Influenza A ◽  
Lao Pdr ◽  
Laboratory Diagnostics ◽  
Mekong Region ◽  
Sporadic Cases ◽  
The Impact

Dire COVID-19 expectations in the Lower Mekong Region (LMR) can be understood as Cambodia, the Lao PDR, Myanmar, Thailand, and Vietnam have stared down a succession of emerging infectious disease (EID) threats from neighboring China. Predictions that the LMR would be overwhelmed by a coming COVID-19 tsunami were felt well before the spread of the COVID-19 pandemic had been declared. And yet, the LMR, excepting Myanmar, has proved surprisingly resilient in keeping COVID-19 contained to mostly sporadic cases. Cumulative case rates (per one million population) for the LMR, including or excluding Myanmar, from January 1 to October 31 2020, are 1,184 and 237, respectively. More telling are the cumulative rates of COVID-19–attributable deaths for the same period of time, 28 per million with and six without Myanmar. Graphics demonstrate a flattening of pandemic curves in the LMR, minus Myanmar, after managing temporally and spatially isolated spikes in case counts, with negligible follow-on community spread. The comparable success of the LMR in averting pandemic disaster can likely be attributed to years of preparedness investments, triggered by avian influenza A (H5N1). Capacity building initiatives applied to COVID-19 containment included virological (influenza-driven) surveillance, laboratory diagnostics, field epidemiology training, and vaccine preparation. The notable achievement of the LMR in averting COVID-19 disaster through to October 31, 2020 can likely be credited to these preparedness measures.

The impact factor: a case study of medical journals

2015 ◽  
Vol 64 (6/7) ◽  
pp. 413-427
Author(s):  
Linda Cox ◽  
David Ellis
Keyword(s):  
Medical Journal ◽  
Design Methodology ◽  
Impact Factors ◽  
Content Type ◽  
General Medical Journal ◽  
The Impact ◽  
Practical Implications ◽  
Main Factor ◽  
Highly Cited

Purpose – This paper aims to look at two well-respected cardiothoracic journals and one general medical journal over the period of a decade to find out any major differences in content and referencing to warrant the fact that the general journal should be ranked far higher than the specialist journals. Design/methodology/approach – The paper conducted citation analysis and comparison with impact factors (IFs) of two cardiothoracic journals, one American and one European, and one general medical journal over the period. Findings – The study concludes that although there was a significant amount of self-referenced non-citable material in the general medical journal, this probably did not alone account for its higher ranking. Research limitations/implications – The original articles were actually very highly cited, and perhaps, the visibility of the general medical journal could possibly be the main factor contributing to its high IF. Practical implications – In terms of citation, all contribution in an issue of a journal is not equal, and therefore, to evaluate work by looking at the IF of the journal in which it is published is not reliable. Originality/value – The study is based on an original citation and IF analysis, and the results should be of interest and value to all those concerned with the use of the IF to evaluate journals.

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