scholarly journals An Application of Neural and Probabilistic Unsupervised Methods to Environmental Factor Analysis of Multi-spectral Images

2005 ◽  
pp. 1190-1197 ◽  
Author(s):  
Luca Pugliese ◽  
Silvia Scarpetta ◽  
Anna Esposito ◽  
Maria Marinaro
Keyword(s):  
Factor Analysis ◽  
Environmental Factor ◽  
Unsupervised Methods

scholarly journals Ripening season, ethylene production and respiration rate are related to fruit non-destructively-analyzed volatiles measured by an electronic nose in 57 peach (Prunus persica L.) samples

2017 ◽  
pp. 807
Author(s):  
Mingshen Su ◽  
Zhengwen Ye ◽  
Bo Zhang ◽  
Kunsong Chen
Keyword(s):  
Factor Analysis ◽  
Environmental Factor ◽  
Respiration Rate ◽  
Electronic Nose ◽  
Ethylene Production ◽  
Prunus Persica ◽  
Peach Fruit ◽  
Fruit Volatiles ◽  
Fruit Samples

Fifty-seven peach samples from 19 peach cultivars were gathered at consumption maturities from an orchard between July 21 and September 9 in 2010. Fruit ethylene production (C2H4) was significantly positively correlated with respiration rate (CO2) for tested samples. Fruit non-desctructively-analized volatiles were measured by a FOX 4000 electronic nose (e-nose), which 57 samples were classified into three groups according to ripening season, respiration rate and ethylene production to evaluate the volatile separations. Samples harvested in July, August and September in 2010, samples of high (>25) respiration rate (mL.Kg-1FW.h-1 CO2) and low ones (<16), samples of high (>10) ethylene production (nL.g-1 FW.h-1 C2H4) and low ones (<2) ones could be clearly separated in the discriminant factor analysis (DFA) plots based on fruit volatiles of the e-nose measurements. Intensity values of T30/1, T70/2, PA/2, P30/1, P40/2, P30/2 and T40/2 sensors of the e-nose measurements were in accord with the classifications of harvest seasons, respiration rate and ethylene production. Non-desctructively-analized volatiles, respiration rate and ethylene production were somewhat related each other despite genotype and environmental factor in the tested peach fruit samples.

Study on Environmental Factor Analysis and Fragility Zoning of Road Water Damage by Using ArcGIS

2021 ◽  
Author(s):  
Renjie Wu ◽  
Zheng Li ◽  
Tao Hu ◽  
Wengang Zhang ◽  
Yangjun Xiao ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Environmental Factor ◽  
Water Damage

scholarly journals Selection Factors of Market Segments and Porter’s Generic Marketing Strategies: Evidence from an Emerging GCC Market

2015 ◽  
Vol 11 (1) ◽  
pp. 199
Author(s):  
Mansour S. M. Lotayif
Keyword(s):  
Factor Analysis ◽  
Environmental Factor ◽  
Multiple Regression ◽  
Descriptive Analysis ◽  
Technological Factor ◽  
Marketing Strategies ◽  
Target Market ◽  
Analytical Technique ◽  
Generic Strategy ◽  
Selection Factors

The current study aims at both identifying the detailed variables behind selecting the appropriate market segment(s) and the selection of the three generic marketing strategies i.e. differentiation, focus and cost leadership. The experiences of 177 Bahraini executives working for domestic and multi-national corporations (MNCs) were utilized to achieve these objectives. Via SPSS version 21 and throughout multivariate analytical technique (e.g. multiple regression), factor analysis, and descriptive analysis the current study’s three objectives and four hypotheses were tested. Based on factor analysis, the target market selection variables are loaded on four factors as proposed by Hooley and Saunders (1993). However, the title of the fourth variable becomes “regulatory, political, and environmental” instead of only “environmental factor” as in Hooley and Saunders (1993) did name in their own study. Based on Multiple Regression (MR) results, there is no significant causality relationship between demographics (i.e. type of business, ownership, experience, and size) and market factor. Meanwhile, significant causality relationships were existed between; demographics and “economic and technological factor”; demographics and “competitive factor”; and between demographics and “regulatory, political, and environmental factor”. Finally, the variables for selecting each generic strategy have been determined.

scholarly journals Environmental Factor Analysis on the Growth of Planted Tree and the Establishment of Natural Seedling in Three Species of Wild Rhododendron

1999 ◽  
Vol 25 (4) ◽  
pp. 421-426 ◽  
Author(s):  
Hiromi SUZUKI ◽  
Noriko KATSUMI ◽  
Tatsuaki KOBAYASHI ◽  
Shuzo HASEGAWA ◽  
Masao ARAI
Keyword(s):  
Factor Analysis ◽  
Environmental Factor ◽  
Natural Seedling ◽  
Planted Tree

Street Attire vs Nurses' Uniforms: A Brief Questionnaire

1980 ◽  
Vol 47 (1) ◽  
pp. 181-182 ◽  
Author(s):  
F. E. Sterling ◽  
W. David Dinning
Keyword(s):  
Factor Analysis ◽  
Environmental Factor ◽  
Nursing Staff ◽  
Research Tool ◽  
Nursing Personnel ◽  
Response To Treatment ◽  
Internal Reliability ◽  
Selection Of

A 12-item instrument was designed to quantify the views of 62 nurses on how the wearing of nurses' uniforms vs street attire might affect their performance of routine nursing duties, effectiveness of their therapeutic efforts, their role concepts, and interpersonal involvement with patients. Factor analysis indicated that the instrument had high internal reliability and unifactor content. Suggestions were offered for the instrument's utility as a research tool and as an aid in selection of nursing personnel in applied settings where attire worn is considered an important environmental factor or where the attitudes of nursing staff may have bearing on treatment and response to treatment of selected populations.

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

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