A multivariate study of moss distributions in relation to environment in the Gulf of St. Lawrence region, Canada

2005 ◽  
Vol 83 (3) ◽  
pp. 243-263 ◽  
Author(s):  
René J Belland
Keyword(s):  
Cluster Analysis ◽  
Floristic Composition ◽  
Hierarchical Cluster ◽  
Distribution Patterns ◽  
Gulf Region ◽  
Northern Half ◽  
Indicator Analysis ◽  
Calcareous Rock ◽  
Relationship Of ◽  
The Relationship

Moss distribution patterns in the Gulf of St. Lawrence were investigated using multivariate analyses to determine the relationship of the patterns to environmental factors. Distance-based redundancy analysis was used to ordinate 29 operational geographical units (OGU) or sampling units based on their moss floras, and hierarchical cluster analysis in combination with indicator analysis was used to produce classifications of both species and sampling units. Climatic variables, in particular, warmth of the growing season, were the most important factors determining species distribution; this resulted in a north–south gradient through the study area. Oceanity was also shown to be important and manifested as an east–west gradient. Edaphic factors, in particular, amount of calcareous rock outcrop, had a secondary influence and modified the patterns established by climate. Ordination of OGUs showed the effects of environment to be more variable in the northern half of the Gulf of St. Lawrence, which may in part explain the higher species richness there. Seven OGU groups were recognized based on cluster analysis of floristic composition. Although indicator species were few, most groups were distinguished by unique sets of regionally rare species. Eleven species elements were identified based on species occurrence in OGUs. The elements constituted sets of overlapping distributions showing southern, northern, and eastern biases in the Gulf region. Multivariate analysis was shown to be effective tool for extracting moss–environment patterns, even at medium geographic scale.Key words: Gulf of St. Lawrence, mosses, environment, richness, distribution, ordination, cluster analysis.

scholarly journals The Relationship of Nigerian English and Nigerian Pidgin in Nigeria: Evidence from Copula Constructions in Ice-Nigeria

2020 ◽  
Vol 13 (2) ◽  
pp. 351-388
Author(s):  
Ogechi Florence Agbo ◽  
Ingo Plag
Keyword(s):  
Cluster Analysis ◽  
Interpersonal Relationships ◽  
Social Factors ◽  
Close Contact ◽  
Hierarchical Cluster ◽  
Qualitative Investigation ◽  
Test Bed ◽  
Complex Situation ◽  
Relationship Of ◽  
The Relationship

Abstract Deuber (2006) investigated variation in spoken Nigerian Pidgin data by educated speakers and found no evidence for a continuum of lects between Nigerian Pidgin and English. Many speakers, however, speak both languages, and both are in close contact with each other, which keeps the question of the nature of their relationship on the agenda. This paper investigates 67 conversations in Nigerian English by educated speakers as they occur in the International Corpus of English, Nigeria (ice-Nigeria, Wunder et al., 2010), using the variability in copula usage as a test bed. Implicational scaling, network analysis and hierarchical cluster analysis reveal that the use of variants is not randomly distributed over speakers. Particular clusters of speakers use particular constellations of variants. A qualitative investigation reveals this complex situation as a continuum of style, with code-switching as one of the stylistic devices, motivated by such social factors as formality, setting, participants and interpersonal relationships.

HUBUNGAN KEPADATAN BIVALVIA DENGAN PARAMETER LINGKUNGAN DI PESISIR TANJUNG PURA KABUPATEN BANGKA TENGAH

2020 ◽  
Vol 13 (2) ◽  
pp. 112-121
Author(s):  
Sudiyar . ◽  
Okto Supratman ◽  
Indra Ambalika Syari
Keyword(s):  
Negative Impact ◽  
Principal Component ◽  
Environmental Parameters ◽  
Data Retrieval ◽  
Distribution Patterns ◽  
Random System ◽  
System Method ◽  
Relationship Of ◽  
The Relationship ◽  
Anadara Granosa

The destructive fishing feared will give a negative impact on the survival of this organism. This study aims to analyze the density of bivalves, distribution patterns, and to analyze the relationship of bivalves with environmental parameters in Tanjung Pura village. This research was conducted in March 2019. The systematic random system method was used for collecting data of bivalves. The collecting Data retrieval divided into five research stasions. The results obtained 6 types of bivalves from 3 families and the total is 115 individuals. The highest bivalve density is 4.56 ind / m², and the lowest bivalves are located at station 2,1.56 ind / m²,  The pattern of bivalve distribution in the Coastal of Tanjung Pura Village is grouping. The results of principal component analysis (PCA) showed that Anadara granosa species was positively correlated with TSS r = 0.890, Dosinia contusa, Anomalocardia squamosa, Mererix meretrix, Placamen isabellina, and Tellinella spengleri were positively correlated with currents r = 0.933.

Perfectionism and Self-Perception Profile Comparisons on Burnout and Life Satisfaction in Aesthetic Performers

2020 ◽  
pp. 1-22
Author(s):  
Thomas D. Raedeke ◽  
Victoria Blom ◽  
Göran Kenttä
Keyword(s):  
Cluster Analysis ◽  
Life Satisfaction ◽  
Self Esteem ◽  
Self Perception ◽  
Personal Standards ◽  
Self Perceptions ◽  
Self Worth ◽  
Relationship Of ◽  
The Relationship

This study evaluated the relationship of perfectionism and self-perceptions with burnout and life satisfaction in aesthetic performers (N = 254) recruited in Sweden. Cluster analysis revealed four groups: perfectionistic with maladaptive self-perceptions, perfectionistic (parent-driven) with maladaptive self-perceptions, achievement-oriented with adaptive self-perceptions, and nonperfectionistic with adaptive self-perceptions. Performers in both maladaptive clusters reported characteristics suggesting they were perfectionistic compared to their peers. They also reported relatively high contingent self-worth and low basic self-esteem. In contrast, those in the nonperfectionistic with adaptive self-perceptions cluster scored relatively low on perfectionism and reported relatively high basic self-esteem and low contingent self-worth. The performers in the achievement-oriented with adaptive self-perceptions cluster reported average scores across most variables, moderately high personal standards, and higher basic self-esteem compared with contingent self-worth. Overall, performers in both maladaptive clusters reported the highest burnout and lowest life satisfaction. Study findings underscore the importance of perfectionism and self-perceptions when considering burnout and life satisfaction.

scholarly journals Food Markets: A Motivation-Based Segmentation of Tourists

2020 ◽  
Vol 17 (7) ◽  
pp. 2312 ◽  
Author(s):  
Ana Mᵃ Castillo-Canalejo ◽  
Sandra Mᵃ Sánchez-Cañizares ◽  
Luna Santos-Roldán ◽  
Guzmán Antonio Muñoz-Fernández
Keyword(s):  
Cluster Analysis ◽  
Food Markets ◽  
Economic Agents ◽  
Tourism Management ◽  
Branding Strategies ◽  
Student’S T ◽  
Relationship Of ◽  
The Relationship ◽  
New Strategies ◽  
Student’S T Test

Food markets are becoming popular as new spaces for recreation, and this research aims to discover the motivations driving the tourists that visit these markets. Factorial analysis, cluster analysis and Student’s t-test were applied on 456 surveys from two food markets in Córdoba (Spain). Three motivational factors were obtained: Gastronomic experience and novelty; hedonism and leisure; and the relationship of the experience with work. Segmenting and analyzing the profile of the tourist may help economic agents develop new strategies for the tourism management of a destination and more accurate marketing and branding strategies that target specific customers with a niche message. The study could help develop products that align with tourists’ motives to increase satisfaction and loyalty.

Nylon 66 / Nomex Composite Yarn Performance Analysis

2014 ◽  
Vol 568-570 ◽  
pp. 1671-1674
Author(s):  
Gen Yang Cao ◽  
Dan Sheng ◽  
Kai Yang ◽  
Xue Feng Lu ◽  
Wei Lin Xu
Keyword(s):  
Mechanical Properties ◽  
Cluster Analysis ◽  
Performance Analysis ◽  
Confidence Interval ◽  
Polyamide 66 ◽  
Nylon 66 ◽  
Composite Yarn ◽  
Significant Difference ◽  
Relationship Of ◽  
The Relationship

The embedded composite spinning technology was applied in spinning the composite yarn of polyamide 66 and nomex .The relationship of the polyamide 66 and nomex’s content with the mechanical properties of composite yarn and hairiness was discussed. The method of cluster analysis was applied in analyzing the four kinds of yarn’s mechanical properties. And the results show that when the confidence interval is 95%, the significance of two kinds yarns were greater than 0.05. There is no significant difference between the programs. While the analysis of the hairiness data showed that the fourth solution’s harmful hairiness was much lower that the first solution’s. Therefore, the best solution is the fourth solution.

Developing a motivation-based segmentation typology of Facebook users

2015 ◽  
Vol 33 (7) ◽  
pp. 1071-1086 ◽  
Author(s):  
Wei Shao ◽  
Mitchell Ross ◽  
Debra Grace
Keyword(s):  
Cluster Analysis ◽  
Information Seeking ◽  
Hierarchical Cluster ◽  
Demographic Variables ◽  
Cluster Solution ◽  
Full Spectrum ◽  
Content Type ◽  
Segmentation Strategy ◽  
The Relationship ◽  
User Motivation

Purpose – The purpose of this paper is to demonstrate the importance of user-motivation as well as demographics in developing an effective segmentation strategy of Facebook users. Additionally, the paper seeks to add validity to the scale developed by Park et al. (2009) by using a full spectrum of Facebook users. Design/methodology/approach – A self-administered survey was employed to explore access motivations, frequency and session duration of Facebook users. The survey was e-mailed to 2,129 potential respondents with 530 valid responses received. Data were initially analysed by hierarchical cluster analysis to develop the cluster solution. Cluster means were then used as cluster centres for a K-means cluster analysis for all cases. The relationship between the clusters and Facebook activity variables was investigated through ANOVA while independent samples t-tests were employed to analyse the relationship between motivations and demographics. Lastly χ2-tests were used to explore the relationship between Facebook user segments and demographics. Findings – The results indicate four distinct types of Facebook users: Devotee, Agnostic, Socializer and Finder. Devotees were highly positive about Facebook use while Agnostics were least motivated to use Facebook. Socializers were motivated to use Facebook for socializing and entertainment while Finders were motivated to use Facebook for information seeking. These four distinct groups are validated by examining their individual behaviour regarding frequency of access to Facebook and the average amount of time spent on Facebook per visit. Demographic variables such as gender and age were found to be significantly related to Facebook user-motivation and segmentation. Practical implications – For marketers who communicate with market segments via social media, the findings of this study are highly significant. To date, marketers have found it difficult to fully exploit the benefits of Facebook. The authors argue this is due to a tendency to consider Facebook users as a single segment rather than understanding the nuances of different user segments. This research provides marketers with a motivation and demographic segmentation strategy for Facebook users. Originality/value – Despite the popularity of Facebook as a communication channel, from a marketing perspective little is known regarding Facebook user segments. This research addresses this gap by undertaking a segmentation study of Facebook users. A segmentation typology is developed in which both Facebook user motivations as well as demographic variables are found to be useful in describing user segments. Additionally, the study makes important theoretical contributions by extending uses and gratifications theory to the Facebook context and adding validity to the scale developed by Park et al. (2009) for use with the full spectrum of Facebook users.

Relationship of Premaxillary Bone and Its Sutures to Deciduous Dentition in Nonhuman Primates

2008 ◽  
Vol 45 (1) ◽  
pp. 93-100 ◽  
Author(s):  
K. A. Carmody ◽  
M. P. Mooney ◽  
G. M. Cooper ◽  
C. J. Bonar ◽  
M. I. Siegel ◽  
...  
Keyword(s):  
Nonhuman Primates ◽  
Bone Cells ◽  
Anterior Part ◽  
Distribution Patterns ◽  
Bone Cell ◽  
Cell Distribution ◽  
Deciduous Dentition ◽  
Maxillary Bone ◽  
Relationship Of ◽  
The Relationship

Objective: The relationship of the human premaxillary bone (Pmx) to neighboring craniofacial structures is clouded by its embryonic union with the maxillary bone proper. Only humans among all primates have such early fusion of the premaxillomaxillary suture (PS). This study surveyed the relationship of the PS to the upper deciduous dentition in nonhuman primates, and describes the distribution of bone cells along the osseous margins of the Pmx. Method: Twenty-eight subadult primates were studied using gross, CT, and histologic observations. Location of the anterior deciduous dentition relative to the PS was assessed. In sections of selected specimens, observations of bone cells on the osseous boundaries of the Pmx were made. Osteopontin (OPN) immunohistochemistry was used to isolate osteoclastic binding sites along the Pmx boundaries. Results: The PS was consistently found between deciduous incisor and canine in strepsirrhines of all ages, whereas the suture passed variably closer to the incisor or canine in haplorhines. In all species, the anterior part of the Pmx was nonarticulating and mostly osteoblastic, except for osteoclastic margins adjacent to dentition and the nasal fossa. Superolaterally, the osteogenic fronts of the PS were osteoblastic, while more inferiorly, at the level of the deciduous canine, the PS was often osteoclastic. Results from OPN immunohistochemistry support the findings on bone cell distribution. Conclusion: Bone cell distribution patterns in perinatal nonhuman primates resemble those described for the prenatal human Pmx, suggesting that differences among species relate to magnitude rather than the pattern of osteogenesis.

Novice-Expert Differences in the Cognitive Representation of System Features: Mental Models and Verbalizable Knowledge

1988 ◽  
Vol 32 (4) ◽  
pp. 219-223 ◽  
Author(s):  
Kathy A. Hanisch ◽  
Arthur F. Kramer ◽  
Charles L. Hulin ◽  
Robert Schumacher
Keyword(s):  
Cluster Analysis ◽  
Mental Models ◽  
Hierarchical Cluster Analysis ◽  
Mental Model ◽  
Training Programs ◽  
Hierarchical Cluster ◽  
Cognitive Representation ◽  
Knowledge Test ◽  
Scaling Technique ◽  
The Relationship

The relationship between users' mental models and their verbalizable knowledge of a system were investigated in a field study. Trained and untrained users of a new phone system rated the similarity of use of nine phone features. Their ratings of the features were used in a multidimensional scaling technique and hierarchical cluster analysis to obtain their mental models of the system. Individuals' ratings of features on unidimensional scales about the use of the features and scores obtained on a knowledge test were reflected in their mental models. Mental models of the two novice groups' were very similar except for the perception of one feature; it was more accurately depicted in the mental model of users who attended than those who did not attend a training program. Trainers' and system designers' mental models of the phone system were evaluated to determine an “appropriate” expert mental model. A comparison of the “expert” mental model to the novices' mental models suggested that several features were inaccurately perceived by the novices. Using the discrepancies between the expert and novices' mental models to design training programs for systems is discussed. A novel way to design or redesign systems based on novices' mental models of systems is proposed.

Variability in Daily Events and Mood of Family Caregivers to Cognitively Impaired Elders

1995 ◽  
Vol 41 (2) ◽  
pp. 151-167 ◽  
Author(s):  
Eileen E. Malonebeach ◽  
Steven H. Zarit ◽  
Dena Farbman
Keyword(s):  
Cluster Analysis ◽  
Individual Differences ◽  
Family Caregivers ◽  
Cognitively Impaired ◽  
Daily Events ◽  
And Cluster Analysis ◽  
Relationship Of ◽  
The Relationship

This study explores the relationship of daily mood and daily events in a caregiving context. Family caregivers to demented elders ( N = 43) kept fourteen-day diaries of: 1) caregiving activities, 2) disruptive patient behaviors, and 3) daily mood. Independent raters and cluster analysis support the hypothesis of three mood patterns. Differences among the three clusters in the relationship of mood and daily caregiving events were explored. The findings indicate that some caregivers are highly distressed by caregiving demands, some report moderate levels of distress, and others show no relationship between mood and daily events. The varied patterns support an individual differences approach to understanding caregiving and in the design of interventions.

scholarly journals Plant Diversity Study on Kelekal Protected Forest in Debre Markos Town District, East Gojjam, Amhara Region, Ethiopia

2019 ◽  
Vol 4 (2) ◽  
pp. p98
Author(s):  
Haimanot Reta ◽  
Sebsebe Demissew ◽  
Zemede Asfaw
Keyword(s):  
Cluster Analysis ◽  
Plant Communities ◽  
Hierarchical Cluster Analysis ◽  
Floristic Composition ◽  
Hierarchical Cluster ◽  
Structural Data ◽  
Diversity Indices ◽  
General Distribution ◽  
Line Transect ◽  
Composition And Structure

This research was aimed to investigate floristic composition and structure of Kelekal protected forest established since 1999. For plant data collection, 33 different quadrnts having 400 m2 along seven different line transect were used. The structural data like Frequencies, Density, DBH, Hight, Relative dominance, Relative density and IVI values were calculated for each species and for the selectedwoody plants. The woody plant species having DBH?2.5 cm and height greater than 2.5 m were measured. A hierarchical cluster analysis was performed to classify different plant communities. Shannon winner diversity indices and Sorensen’s similarity indices were used to compare the identified plant communities. Endemic and economically important plants were identified from Flora of Ethiopia and Eritrea books. This research resulted 103 different vascular plants. Eight (7.77%) plants are endemic and the “K” partitioning in the R program using hierarchical cluster analysis resulted three-plant community types. The general distribution pattern of these woody plants at different DBH and height classes showed an inverted Jshape pattern. Four different population patterns were investigated from the density of these species recorded at different DBH class. The result of the structural data provides pertinent information for future forest management techniques in Kelekal protected forest.

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