The perception by pastoralists of the factors influencing the appropriate distribution of livestock in the rangelands of north-east Iran

2015 ◽  
Vol 37 (2) ◽  
pp. 191
Author(s):  
M. R. Shahraki ◽  
A. Abedi-Sarvestani ◽  
M.S. Seyedi ◽  
P. Rafiaani Khachak ◽  
A. Nieto-Garibay ◽  
...  

The distribution of livestock grazing is a key principle of range management. This study examines pastoralists’ perceptions of the factors that affect the distribution of livestock in the rangelands of the Neqab region of the Kashmar County in north-east Iran. Data were collected from the pastoralists on their perceptions of the managerial, biological and physical factors that influences the distribution of livestock, using both qualitative and quantitative assessments. Results showed that, the perception of the majority of pastoralists was that the distribution of livestock was ‘average’ or ‘good’ in the study area. It was perceived that the experience of herders and the size of the rangeland were the main factors influencing the distribution of livestock. Regression analyses showed that it was perceived that managerial factors had a more important role than biological and physical factors in the distribution of livestock and the proper use of the rangelands in north-east Iran.

Author(s):  
Albattat Ahmad ◽  
Azizul Jamaludin ◽  
Nini Shaliza ◽  
Mohd Zuraimi ◽  
Marco Valeri

The aim of this research is to analyze the factors influencing visit intention and destination image in post-Covid-19 crisis recovery. In post-crisis recovery, the factors influencing visit intention are physical, socio-psychological and financial factors. A total of 426 respondents were selected and analyzed using correlation and multiple regression analyses. The findings demonstrate that physical factors are the main factors that influence tourists’ visit intention. Additionally, destination image significantly affects visit intention and significantly mediates the relationship between the factors and visit intention. All this inevitably affects the organizational structure of the tourist destination.


2020 ◽  
Vol 18 (7) ◽  
pp. 1304-1319
Author(s):  
M.V. Moroshkina

Subject. This article examines the issues related to changes in reproduction capacity and heterogeneity of the development of Russian regions. Objectives. The article aims to assess regional differentiation and investigate the main factors influencing the uneven development of the areas. Methods. For the study, we used the methods of comparative and correlation analyses. Results. The article identifies groups of leading and lagging Russian regions and assesses the possibility of convergence of Russian regions according to the analyzed indicators, such as GRP, GRP per capita, and the output of industry. Conclusions. The results obtained can be used when preparing strategic policy documents, spatial development programmes and concepts. The observed heterogeneity suggests that the regions maintain their positions throughout the research period.


e-Polymers ◽  
2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Stanislaw Frackowiak ◽  
Monika Maciejewska ◽  
Andrzej Szczurek ◽  
Marek Kozlowski

AbstractCarbon black-filled polymer composites were investigated as sensing materials for organic liquids. Polypropylene and polystyrene which were selected as matrices and various amounts of carbon black were considered as the main factors influencing sensitivity of the composites in view of the percolation theory. Disposable filaments were produced of these materials. Change in their electrical resistivity was measured upon immersion in benzene, toluene, xylene, ethylbenzene and their mixtures. It has been found that studied materials were sensitive to the composition of liquid mixtures of organic solvent. Relationships between the filament response and volumetric fraction of the components were presented. The studied materials have shown promising sensing properties, which suggest their applicability for identification and quantification of multicomponent organic liquids.


2020 ◽  
Vol 19 (3) ◽  
pp. 220-232
Author(s):  
Hamdah Abdullah Alfaraidy

The Saudi Ministry of Education has recently begun to allow all Saudi families to enroll their children in international schools. The international curriculum offered by such schools represents a notably different choice compared with Saudi traditional public and private schools, both of which teach the same state-mandated curriculum. As a result of the change, there has been a surge in demand for international education; the number of schools has increased rapidly, and there has been a steady “student leak” towards them and away from traditional schools. Little is known about why Saudi parents choose to enroll their children in international schools. We explored this question by surveying 431 Saudi parents of children attending such schools to identify the main factors contributing to their choice. Although all factors examined were important to parents, curriculum and overall school quality emerged as the most important; socioeconomic status was not influential in their decisions.


2021 ◽  
Vol 14 (8) ◽  
pp. 339
Author(s):  
Tatjana Vasiljeva ◽  
Ilmars Kreituss ◽  
Ilze Lulle

This paper looks at public and business attitudes towards artificial intelligence, examining the main factors that influence them. The conceptual model is based on the technology–organization–environment (TOE) framework and was tested through analysis of qualitative and quantitative data. Primary data were collected by a public survey with a questionnaire specially developed for the study and by semi-structured interviews with experts in the artificial intelligence field and management representatives from various companies. This study aims to evaluate the current attitudes of the public and employees of various industries towards AI and investigate the factors that affect them. It was discovered that attitude towards AI differs significantly among industries. There is a significant difference in attitude towards AI between employees at organizations with already implemented AI solutions and employees at organizations with no intention to implement them in the near future. The three main factors which have an impact on AI adoption in an organization are top management’s attitude, competition and regulations. After determining the main factors that influence the attitudes of society and companies towards artificial intelligence, recommendations are provided for reducing various negative factors. The authors develop a proposition that justifies the activities needed for successful adoption of innovative technologies.


Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 620
Author(s):  
Liping Dai

This study uses a diagnostic and multidisciplinary water governance assessment framework to examine the main factors influencing water cooperation on the shared Mountain Aquifer between Israel and Palestine. It finds that effective cooperation between Israel and Palestine is unlikely in the foreseeable future if both parties persist with the business-as-usual approach. What constrains the two parties from achieving consensual agreement are political tensions, the constraints of current technology, the different perceptions of the value of the shared water, the mistrust between the two parties, the lack of external enforcement mechanisms, and the impacts of the domestic political environment.


Procedia CIRP ◽  
2016 ◽  
Vol 48 ◽  
pp. 352-357 ◽  
Author(s):  
Wen Li ◽  
Patrick Stanula ◽  
Patricia Egede ◽  
Sami Kara ◽  
Christoph Herrmann

Anaesthesia ◽  
2017 ◽  
Vol 72 (10) ◽  
pp. 1281-1282 ◽  
Author(s):  
V. Yuen ◽  
C. Chen ◽  
L. Liu ◽  
C. Y. Wang ◽  
S-W Choi

1972 ◽  
Vol 9 (1) ◽  
pp. 252-256 ◽  
Author(s):  
J. P. Hobson ◽  
A. W. Pye

AIDS Care ◽  
2003 ◽  
Vol 15 (2) ◽  
pp. 239-249 ◽  
Author(s):  
G. M. Powell-Cope ◽  
J. White ◽  
E. J. Henkelman ◽  
B. J. Turner

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