scholarly journals Attitudinal Determinants of Beef Consumption in Venezuela: A Retrospective Survey

Foods ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 202 ◽  
Author(s):  
Lilia Arenas de Moreno ◽  
Nancy Jerez-Timaure ◽  
Jonathan Valerio Hernández ◽  
Nelson Huerta-Leidenz ◽  
Argenis Rodas-González
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster ◽  
Beef Quality ◽  
Extrinsic Factors ◽  
Face To Face ◽  
Credence Attributes ◽  
Consumer Surveys ◽  
Two Factors ◽  
The Common ◽  
Structured Questionnaire

Consumer surveys were conducted in the Western, Central, and Eastern regions of Venezuela to determine buying expectations, motivations, needs, perceptions, and preferences of beef consumers, and their acceptance of domestic (and foreign) beef, as affected by different intrinsic and extrinsic factors. Data (n = 693) were gathered by face-to-face interviews on the way out of fresh markets, butcher stores, supermarkets, and, in some cases, at home by using a 45-question structured questionnaire. Responses were subjected to factorial analysis of correspondence (FA) and hierarchical cluster analysis. From the FA, the first two factors explain 74% of the common variance. Factor 1 comprises intrinsic attributes such as color, smell, tenderness, flavor, juiciness, and freshness; while Factor 2 contains extrinsic attributes, mostly related to the origin. The FA profiling data showed that it is possible to concentrate on the traits that consumers usually use as a criterion to perceive beef quality, and to purchase beef. Using cluster analysis, four groups of consumers were mainly distinguished by region, intrinsic attributes, and credence attributes related to production system, aging, traceability, and hygiene. Results from this study will be helpful in designing strategies for recovering and enhancing the future, domestic beef demand.

The Assessment of Economic Performance of OECD Countries—Factor Analysis and Cluster Analysis

1994 ◽  
Vol 5 (2) ◽  
pp. 65-78
Author(s):  
Peijie Wang
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Comparative Study ◽  
Economic Performance ◽  
Oecd Countries ◽  
Factor Scores ◽  
Economic Variables ◽  
Two Factors ◽  
The Common ◽  
And Cluster Analysis

This paper studies the economic performance of 19 OECD countries. Eight economic variables are selected to describe the economic performance which are incorporated into two factors afterwards by factor analysis. The relations among the variables and that between factors and variables are analysed. A comparative study is made, based on the factor scores of these 19 countries; and the countries are classified into 5 categories using cluster analysis, according to their similarities in the variables and the extracted factors. The common characteristics of the countries with similar economic performances on the two factors are discussed. The paper presents an outline of the nations’ economic performance during this period. It is quite interesting, as a by-product finding, that the countries sharing the economy similarities also have the geographical communalities.

scholarly journals Injury Pattern among Armed Forces Personnel during Military Activities

2019 ◽  
Vol 14 (1) ◽  
pp. 69-72
Author(s):  
Mohammed Sharfaraz Hyder ◽  
Farzana Zafreen ◽  
Khandaker Rokshana Akhter ◽  
Abu Noman Mohammed Moshleh Uddin ◽  
Md Abdul Wahab
Keyword(s):  
Armed Forces ◽  
Careful Study ◽  
Cross Sectional ◽  
Face To Face ◽  
Medical College ◽  
The Common ◽  
Operational Activities ◽  
Army Personnel ◽  
The Military ◽  
Structured Questionnaire

Introduction: Physical training and physical fitness are required to accomplish military missions. Injuries have a great impact on the health and readiness of the military personnel than any other category of medical complaint. Objective: To find out the common types of injuries, causes of injury and place of occurrence among the Bangladesh Armed Forces personnel during their military activities. Materials and Methods: This cross-sectional descriptive study was carried out during the period of March to June 2012. A total of 101 serving Armed Forces Personnel who had injured during military activities and received indoor treatment from orthopedic, surgery, neurosurgery and officers’ ward of CMH, Dhaka were selected. Data were collected in a semi-structured questionnaire through face to face interview. Results: The mean age of the study populations were 31.69 ± 6.7 years and ranged from 18 to 45 years. Among the cases, 83.2% were Army personnel, 9.9% were Navy and 6.9% were from Air Force. Most of the affected cases (55.5%) belonged to fighting arms, 19.8% from support arms and 5.0% from services arms. Maximum (26.7%) cases suffered from knee injury followed by 23.8% vertebral column related injury and 11.9% lower leg injury. Maximum (40.6%) cases sustained injury in training ground followed by 29.7% in the sports ground and 6.9% in operation area. Conclusion: Injury is one of the major causes of morbidity among the members of Armed Forces. Careful study and analysis on training and operational activities of Armed Forces Personnel definitely will explore new dimension to prevent and combat this preventable health burden. Journal of Armed Forces Medical College Bangladesh Vol.14 (1) 2018: 69-72

Emotions and visitors’ satisfaction at a museum

2014 ◽  
Vol 8 (4) ◽  
pp. 420-431 ◽  
Author(s):  
Giacomo Del Chiappa ◽  
Luisa Andreu ◽  
Martina G. Gallarza
Keyword(s):  
Positive Emotions ◽  
Hierarchical Cluster ◽  
Visitor Experience ◽  
Content Type ◽  
Face To Face ◽  
Visitor Satisfaction ◽  
Chi Squared ◽  
Emotional Aspects ◽  
Hierarchical Cluster Analyses ◽  
Structured Questionnaire

Purpose – This research aims to investigate whether emotions can be considered as a suitable variable to segment visitors at a museum. Furthermore, it seeks to analyse whether emotions influence visitor satisfaction and whether this depends on objective variables (such as age, gender and level of education) or not. Design/methodology/approach – A structured questionnaire was developed and data were collected at the National Museum of Archaeology “G.A. Sanna” in Sardinia (Italy) via 410 face-to-face interviews. Hierarchical and non-hierarchical cluster analyses and a series of chi-squared tests were run for the purpose of the study. Findings – Two segments were identified. The cluster with the higher positive emotions reported perceiving a higher level of attractiveness and uniqueness at the museum, and of being more satisfied than the other group. Furthermore, no significant differences were reported between the two segments based on socio-demographic characteristics. Research limitations/implications – The study is site-specific. The application of the study to other museums would allow for wider generalisations to be made from the results obtained. Practical implications – Managers should market and position museums as an emotionally driven experience consumption site. Furthermore, they should consider both cognitive and emotional aspects of visitor experience when designing and planning their businesses, as well as when assessing the visitor’s satisfaction. Originality/value – This study adds to the growing literature on emotions as a tool for segmentation and positioning, and suggests that cognitive and emotional aspects should be considered simultaneously when measuring visitors’ satisfaction. Further, it suggests that emotions are more significant than cognitive aspects in shaping visitors’ satisfaction.

Individual differences in wild (WWCPS) rat — manifested in the exploration box

2010 ◽  
Vol 41 (1) ◽  
pp. 31-35
Author(s):  
Wojciech Pisula
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Individual Differences ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Dimensional Structure ◽  
Two Dimensional ◽  
Factor Scores ◽  
Laboratory Rats ◽  
Two Factors

Individual differences in wild (WWCPS) rat — manifested in the exploration box Thirty nine WWCPS rats were tested in the exploration box throughout fifteen sessions. Factor analysis was run to extract the main dimensions describing rat behavior. Two factors were extracted, confirming the validity of the concept of two dimensional structure of individual differences in rats. Hierarchical cluster analysis run on factor scores showed that only three out of a possible four types of factor combinations are actually present within observed group of animals. In terms of individual differences structure, the study provide support for the view that laboratory rats are still rats.

scholarly journals Built Environment Typologies Prone to Risk: A Cluster Analysis of Open Spaces in Italian Cities

2021 ◽  
Vol 13 (16) ◽  
pp. 9457
Author(s):  
Alessandro D’Amico ◽  
Martina Russo ◽  
Marco Angelosanti ◽  
Gabriele Bernardini ◽  
Donatella Vicari ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Built Environment ◽  
Scientific Literature ◽  
Hierarchical Cluster ◽  
Open Spaces ◽  
Risk Scenarios ◽  
Simulation Based ◽  
Gis Data ◽  
The Common

Planning for preparedness, in terms of multi-hazard disasters, involves testing the relevant abilities to mitigate damage and build resilience, through the assessment of deterministic disaster scenarios. Among risk-prone assets, open spaces (OSs) play a significant role in the characterization of the built environment (BE) and represent the relevant urban portion on which to develop multi-risk scenarios. The aim of this paper is to elaborate ideal scenarios—namely, Built Environment Typologies (BETs)—for simulation-based risk assessment actions, considering the safety and resilience of BEs in emergency conditions. The investigation is conducted through the GIS data collection of the common characteristics of OSs (i.e., squares), identified through five parameters considered significant in the scientific literature. These data were processed through a non-hierarchical cluster analysis. The results of the cluster analysis identified five groups of OSs, characterized by specific morphological, functional, and physical characteristics. Combining the outcomes of the cluster analysis with a critical analysis, nine final BETs were identified. The resulting BETs were linked to characteristic risk combinations, according to the analysed parameters. Thus, the multi-risk scenarios identified through the statistical analysis lay the basis for future risk assessments of BEs, based on the peculiar characteristics of Italian towns.

STUDY OF PEDIATRIC INJURIES: PATTERNS AND OUTCOME

2019 ◽  
Vol 3 (8) ◽  
Author(s):  
Yasir. B. Elshambaty
Keyword(s):  
School Level ◽  
Common Mechanism ◽  
Injury Patterns ◽  
Severe Injuries ◽  
Injured Child ◽  
Cross Sectional ◽  
Pediatric Injuries ◽  
Pediatric Injury ◽  
The Common ◽  
Structured Questionnaire

Purpose this study aims to show the patterns and outcome of pediatric injury among those living in Albaha region in Saudi Arabia Methods this is a cross-sectional descriptive household-based study, included children between 0-17 years old both male and female. The data were collected with structured questionnaire between 20 Nov – 20 Dec 2018 and  analyzed with SPSS version 25 Results the total of participants was 257 injured child. 199(77.4%) are male and 58(22.6%) are female. About 44%of them were injured at pre-school level and 56% were traumatized at school age. The least incidence of injury occurred in those less than 2 yrs and higher incidence in those between 3-10 yrs old. The most common mechanism of injury was falling from height. The most affected group age by RTA accidents was 11-17 yrs old. Approximately 83% of the injured children required hospital management. Only one third of the injuries were  associated complications. The most common injured anatomic part was the upper limb and the least affected part was the spine. Only 5% of the injuries were associated with a disability and the common was loss of organ or part of it. Paralysis occurred in less than 1% and head injury resulted in disabilities more than 1%. Conclusion the vast majority of the injuries in our participants are not serious. The severe injuries were associated with RTA-related trauma. Most of injuries due to falling from height are not serious. We recommend not to allow the children to drive cars. Keywords: pediatric injuries; injury patterns; household.

DRSA: a non-hierarchical clustering algorithm using k-NN graph and its application in vegetation classification

2015 ◽  
pp. 125-138 ◽  
Author(s):  
I. V. Goncharenko
Keyword(s):  
Cluster Analysis ◽  
Clustering Algorithm ◽  
Nearest Neighbor ◽  
Clustering Algorithms ◽  
Protein Structures ◽  
Hierarchical Cluster ◽  
Vegetation Classification ◽  
K Nearest Neighbor ◽  
Neighbor Graph ◽  
Nearest Neighbor Graph

In this article we proposed a new method of non-hierarchical cluster analysis using k-nearest-neighbor graph and discussed it with respect to vegetation classification. The method of k-nearest neighbor (k-NN) classification was originally developed in 1951 (Fix, Hodges, 1951). Later a term “k-NN graph” and a few algorithms of k-NN clustering appeared (Cover, Hart, 1967; Brito et al., 1997). In biology k-NN is used in analysis of protein structures and genome sequences. Most of k-NN clustering algorithms build «excessive» graph firstly, so called hypergraph, and then truncate it to subgraphs, just partitioning and coarsening hypergraph. We developed other strategy, the “upward” clustering in forming (assembling consequentially) one cluster after the other. Until today graph-based cluster analysis has not been considered concerning classification of vegetation datasets.

Quality evaluation of tugaksheeree samples by ATR-FTIR spectroscopy using multicomponent analysis

2020 ◽  
Vol 10 ◽  
Author(s):  
Nikunj D. Patel ◽  
Niranjan S. Kanaki
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Quality Evaluation ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Attenuated Total Reflectance ◽  
Chemometric Methods ◽  
Total Reflectance ◽  
Fingerprint Region ◽  
Ftir Technique

Background: Numerous Ayurvedic formulations contains tugaksheeree as key ingredient. Tugaksheereeis the starch gained from the rhizomes of two plants, Curcuma angustifoliaRoxb. (Zingiberaceae) and Marantaarundinacea (MA) Linn. (Marantaceae). Objective: The primary concerns in quality assessment of Tugaksheeree occur due to adulteration or substitution. Method: In current study, Fourier transform infrared (FTIR) technique with attenuated total reflectance (ATR) facility was used to evaluate tugaksheeree samples. Total 10 different samples were studied and transmittance mode was kept to record the spectra devoid of pellets of KBR. Further treatment was given with multi component tools by considering fingerprint region of the spectra. Multivariate analysis was performed by various chemometric methods. Result: Multi component methods like Principal Component Analysis (PCA), and Hierarchical Cluster Analysis (HCA)were used to discriminate the tugaksheeree samples using Minitab software. Conclusion: This method can be used as a tool to differentiate samples of tugaksheeree from its adulterants and substitutes.

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