scholarly journals Understanding Religious Traveling from Central Asia to Saudi Arabia Using Cluster Analysis

2018 ◽  
Keyword(s):  
Cluster Analysis ◽  
Saudi Arabia ◽  
Central Asia

scholarly journals Using high frequency oligonucleotides-targeting active gene (HFO-TAG) markers for genetic evaluation among genotypes (Cucurbita pepo L. and C. maxima L.)

2019 ◽  
Vol 43 (1) ◽  
Author(s):  
Adel Ahmed Elshafei ◽  
Talal Khaled Alateeq ◽  
Rafik Mostafa Habib ◽  
Mohamed Ibrahim Motawei
Keyword(s):  
Cluster Analysis ◽  
Saudi Arabia ◽  
Genetic Variability ◽  
High Frequency ◽  
Cucurbita Pepo ◽  
Genetic Evaluation ◽  
Gene Markers ◽  
Active Gene ◽  
Flavonoid Compounds

Abstract Background Cucurbita spp. is a main source of crypto-xanthine, zeaxanthin lutein folates, and natural poly-phenolic flavonoid compounds. Collection and conservation of genetic variability are helpful in genetic advancement programs. Twenty-two pumpkin genotypes (21genotypes of Cucurbita pepo L. and one genotype of C. maxima L.) were collected from different regions of Saudi Arabia. Fifteen HFO-TAGhigh frequency oligonucleotide–targeting active gene markers were used to analyze genetic variability among 22 pumpkin genotypes. Results A total of 107 alleles were detected by the 15 HFO-TAG markers, an average of 7.133 alleles per primer. Polymorphisms were found in 102 alleles, an average of 6.866 alleles per primer. The PIC values measured from all of the HFO-TAG markers were high, and ranged from 0.8940 to 0.7225, with an average 0.8212 per marker. Conclusions The results of the cluster analysis of pumpkin genotypes were separated into seven groups according to the collection region.

scholarly journals Examining the Spatio-temporal Dynamics of PM2.5 in Saudi Arabia Using Satellite-derived Data: A Cluster Study

2016 ◽  
Author(s):  
Yusuf Aina ◽  
Elhadi Adam ◽  
Fethi Ahmed
Keyword(s):  
Cluster Analysis ◽  
Saudi Arabia ◽  
Particulate Matter ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Fine Particulate Matter ◽  
Temporal Variations ◽  
World Health ◽  
Self Organizing Map ◽  
Fine Particulate

The study of the concentrations and effects of fine particulate matter in urban areas have been of great interest to researchers in recent times. This is due to the acknowledgment of the far-reaching impacts of fine particulate matter on public health. Remote sensing data have been used to monitor the trend of concentrations of particulate matter by deriving aerosol optical depth (AOD) from satellite images. The Center for International Earth Science Information Network (CIESIN) has released the second version of its global PM2.5 data with improvement in spatial resolution. This paper revisits the study of spatial and temporal variations in particulate matter in Saudi Arabia by exploring the cluster analysis of the new data. Cluster analysis of the PM2.5 values of Saudi cities is performed by using Anselin local Moran’s I statistic. Also, the analysis is carried out at the regional level by using self-organizing map (SOM). The results show an increasing trend in the concentrations of particulate matter in Saudi Arabia, especially in some selected urban areas. The eastern and south-western parts of the Kingdom have significantly clustering high values. Some of the PM2.5 values have passed the threshold indicated by the World Health Organization (WHO) standard and targets posing health risks to Saudi urban population.

scholarly journals Cluster Identification of Diabetic Risk Factors among Saudi Population

2021 ◽  
pp. 45-58
Author(s):  
Sirajudheen Anwar ◽  
Aali Alqarni ◽  
Ahmed Alafnan ◽  
Abdulwahab Alamri ◽  
Sowmya Mathew ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Body Mass Index ◽  
Cluster Analysis ◽  
Saudi Arabia ◽  
Body Mass ◽  
Physical Inactivity ◽  
High Body Mass Index ◽  
Saudi Population ◽  
Cross Sectional

Aims: The aim of the study was to estimate the prevalence and risk factors of diabetes mellitus among adult population of Albaha region, Saudi Arabia and to identify the diabetic risk clusters among Saudi population using various cluster analysis techniques. Study Design: Cross-sectional observation and Hierarchal cluster analyses. Place and Duration of Study: The study was conducted in three different cities of the Albaha region, Saudi Arabia including Albaha, AlAqiq and Baljurashi among Saudi adults 15 years of age or above. The study was carried out from April 2019 to May 2019. Methodology: The first part of the research was a random cross-sectional observational diabetic risk factors screening using a structured questionnaire among adult volunteers of the Albaha region. The second part constituted a multiple cluster analysis technique performed to identify the diabetic risk factors from 13 regions of Saudi Arabia, clustered into five main regions, using NCSS software. Results: In the first part, the risk factors identified among non-diabetic participants showed a significant association with the development of diabetes mellitus, particularly physical inactivity (49.12%), hypertension (41.15%), and high body mass index (19.03%). Likewise, in 11.54% of diabetic patients, elevated body mass index (30.51%), hypertension (27.12%) and physical inactivity (55.93%), which could be associated with diabetic complications. In the second part, the three forms of cluster analyses (the agglomerate hierarchical cluster, clustered heat map and K means clustering analysis) identified physical inactivity and high body mass index as key risk factors which are connected to all other risk factors among the total of 213591 volunteers. Conclusion: Increased prevalence of diabetes and risk of developing diabetes mellitus in the Kingdom require substantial education and training programs to counsel volunteers on all aspects of self-care. Our data provides a robust evidence to establish diabetic counseling through regular diabetes awareness program that can reduce the risk of developing diabetes mellitus.

Influences from the Arabian Peninsula on the Revival of Islam in Central Asia and the Caucasus

2018 ◽  
pp. 103-130
Author(s):  
Bayram Balci
Keyword(s):  
Saudi Arabia ◽  
Soviet Union ◽  
Central Asia ◽  
Arabian Peninsula ◽  
Arab Countries ◽  
Soviet Period ◽  
The Caucasus ◽  
The Soviet Union ◽  
Central Asian ◽  
Diasporic Communities

Arabian Peninsula and Arab countries have always been linked to Muslims of Central Asia and the Caucasus. However, because of the Russian and Soviet parenthesis, the Islamic connections between these regions weakened. With the end of the Soviet Union, an Islamic cooperation started and took mainly two channels: pilgrimages (hajj) and diaspora. Although it was de facto impossible during the Soviet period, hajj has become a very important Islamic point of contact between Saudi Arabia and the post-Soviet sphere, contributing to the development of Salafism in the region. Meanwhile, Uzbek and Uighurs, the two Central Asian diasporic communities present in Saudi Arabia for several decades, have also contributed to the development of Islamic cooperation between the Arabian Peninsula and the new post-Soviet Republics.

scholarly journals Comparative molecular genetic diversity between Trichoderma spp. from Egypt and Saudi Arabia

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Yasser S. A. Mazrou ◽  
Alaa Baazeem ◽  
Abeer H. Makhlouf ◽  
Ayman Sabry ◽  
Mohamed Ismail ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Saudi Arabia ◽  
Dna Sequences ◽  
Geographic Distance ◽  
Saudi Arabian ◽  
Internal Transcribed Spacers ◽  
Main Body ◽  
Trichoderma Spp ◽  
5.8S Rdna

Abstract Background The phylogeny and phylogenetic relationships of Trichoderma species were investigated by many methods including maximum parsimony and distance analysis of DNA sequences from multiple genetic loci. 5.8S rDNA sequence analysis is a powerful tool in evolution studies. Main body The aim of this study was to identify and determine the genetic distance between 36 Trichoderma isolates from Egyptian and Saudi Arabian soils based on their 5.8S rDNA sequences. The genetic diversity of Trichoderma (Hypocreales, Ascomycota) species from Egypt and Saudi Arabia was investigated. The DNA barcoding of 36 isolates, based on the internal transcribed spacers 1 and 4 (ITS1 and 4) of the ribosomal RNA gene cluster and the partial sequence of this gene, revealed the diversity of these isolates. BLAST query showed that two species, namely T. longibarchiatum (42.7% of the isolates) and T. lentiforme (33.3% of the isolates), pre-dominated the isolates. Variation among specimens of the same species was detected. Cluster analysis of the Egyptian isolates showed two groups; the first group was subdivided into two subgroups, the first of which included T. lentiforme and T. crassum isolates, and the second subgroup harbored T. longibrachiatum, T. pseudokoningii, and T. bissettii. The second group included T. neokoningii and T. yunnanens. The cluster analysis of isolates from Saudi Arabia also consisted of two groups. The first group was subdivided into two subgroups; the first included T. longibrachiatum and T. pseudokoningii. The second subgroup harbored T. simmonsii and T. lentiforme. Also, no correlation between genetic and geographic distance was detected. Conclusion The results of the present study indicated that the Saudi Arabian isolates showed greater nucleotide diversity compared to Egyptian isolates. Also, these findings will assist in future studies while assessing Trichoderma genetic diversity.

scholarly journals Spatial variation of human development indicators in Saudi Arabia: التباين المكاني لمؤشرات التنمية البشرية في المملكة العربية السعودية

2017 ◽  
Vol 1 (9) ◽  
Author(s):  
Mohammed bin Ibrahim Ramadan Ahmed -     Zohor Bint Omar Abd
Keyword(s):  
Cluster Analysis ◽  
Saudi Arabia ◽  
Spatial Variation ◽  
Human Development ◽  
Health Knowledge ◽  
Standard Of Living ◽  
Development Pattern ◽  
Eastern Region ◽  
Development Indicators ◽  
Very High

This study is concerned about the human development in Saudi Arabia from a geographical perspective. It focused on analyzing and explaining the spatial variation of human development indicators on the level of the administration areas of the kingdom. It classified the indicators developmentally according to the value of human development indexes. Further، the study attempted to evaluate the core dimensions included in the human development indexes – health، knowledge and appropriate standard of living – showing their points of strength and weakness. To achieve the objectives of this study، some statistical methods have been used، e.g.  Cluster Analysis and Moran's Index.          The study revealed that human development is randomly distributed over the administration areas of the kingdom of Saudi Arabia. Further the quantitative analysis revealed that the dimension of standard of living is the most diversified and varied factor of Human development over the administrative areas of Saudi Arabia.        In addition، cluster analysis showed five geographical patterns for human development: very high human development pattern in AL-Riyadh and Makkah Al-Mokarramah areas، with very high standard of living and knowledge، high human development represented in Al Madinah Al-Monawarah، The Eastern Region، Aseer with high health dimension of human development، medium human development pattern represented in Qaseem، Tabuk، Hail، Najran، Al-Baha and Al-Jouf which showed lower living conditions in these areas، low human development pattern in The Northern Borders in which all dimensions are low، and very low human development pattern in Jazan area where all indicators are very low.          Based on the result achieved the study proposed some remedial solutions for these problems, which are as follows: work towards integration of health system in all kingdom areas, develop the system of higher education to building a knowledgeable society, enhance the standard of living for all community members, and focus on achieving very high human development in all parts of the Kingdom administrative areas.

Investigating Educators' Intention to Adopt M-Learning

2021 ◽  
Vol 17 (3) ◽  
pp. 69-83
Author(s):  
Anissa Negra ◽  
Wafa M'sallem ◽  
Mohamed Nabil Mzoughi
Keyword(s):  
Cluster Analysis ◽  
Saudi Arabia ◽  
Business Schools ◽  
Resistance To Change ◽  
Arab Countries ◽  
Ubiquitous Learning ◽  
Intention To Adopt ◽  
Perceived Playfulness ◽  
Survey Results

The technological spread has brought business schools in Arab countries into the m-learning age. Teachers represent one of the most important pillars of the ubiquitous learning implementation. This research aims to examine educators' intention of m-learning adoption based on the TAM, dispositional resistance to change (RTC), and perceived playfulness. One hundred seventy-nine educators from business schools in Tunisia and Saudi Arabia answered the survey. Results revealed that playfulness is the most predictor of the educators' intention adoption of m-learning in both cultures. Cluster analysis has revealed three different profiles of educators in business schools: opposing, averse, and pioneers.

scholarly journals Genetic diversity of Cucurbita moschata inbred lines selected from six different populations using HFO-TAG markers

Plant Omics ◽  
2020 ◽  
pp. 86-93
Author(s):  
Adel Ahmed Elshafei ◽  
Abdullah Abdulrahman Alsadon ◽  
Abdullah Abdulaziz Aldoss ◽  
Talal Khaled Alateeq ◽  
Talaat Hassan Solieman ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Saudi Arabia ◽  
High Frequency ◽  
Inbred Lines ◽  
Cucurbita Moschata ◽  
Similarity Coefficients ◽  
Gene Markers ◽  
Population Origin ◽  
Different Populations

This study evaluated the genetic diversity among 18 inbred lines of Pumpkin (Cucurbita moschata) using HFO-TAG (high frequency oligonucleotide–targeting active gene) markers. The inbred lines were selected from six different populations in Saudi Arabia and Egypt according to genetic distance and population origin. A total of 132 alleles were detected. Sixteen HFO-TAG markers averaged 8.25 alleles per primer with 125 alleles showing polymorphisms that averaged 7.81 alleles per primer. A cluster analysis of the means of the HFO-TAG data created three groups with similarity coefficients between 0.34 and 0.74. In general, the 18 inbred lines were separated according to pedigree and population origin. Hybrids from the chosen inbred lines, S1 L-1 with E L-2, S1 L-2 with E L-3, and S1 L-3 with E L-1, may be the basis for improved hybridization programs and can be used in future hybridization program

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