AN INTELLIGENT TECHNOLOGY BASED METHOD FOR INTERPRETING SENSORY EVALUATION DATA PROVIDED BY MULTIPLE PANELS

2008 ◽  
Vol 16 (05) ◽  
pp. 683-698
Author(s):  
BIN ZHOU ◽  
XIANYI ZENG ◽  
LUDOVIC KOEHL ◽  
YONGSHENG DING
Keyword(s):  
Fuzzy Numbers ◽  
Data Sets ◽  
Sensory Data ◽  
Fabric Hand ◽  
Different Populations ◽  
Intelligent Technology ◽  
Fuzzy Distances ◽  
Data Variation ◽  
Fabric Hand Evaluation

This paper presents an intelligent technology based method for analyzing and interpreting sensory data provided by multiple panels in evaluation of industrial products. In order to process the uncertainty existing in these sensory data, we first transform all sensory data on an unified optimal scale. Based on these normalized data sets, we compute the dissimilarities or distances between different panels and between different evaluation terms used by them, defined according to the degree of consistency of data variation. The obtained distances are then transformed into fuzzy numbers for physical interpretation. These fuzzy distances permit to characterize the evaluation behaviour of each panel and the quality of the evaluation terms used. Also, based on a Genetic Algorithm with punishment policy and the dissimilarity between terms, we develop a procedure for interpreting terms of one panel using those of another panel. This method has been applied to the fabric hand evaluation for a number of samples of knitted cotton in order to identify consumers' preference of different populations.

The Application of The Principle of Information Theory to Fabric Hand Evaluation

2004 ◽  
Vol 8 (1) ◽  
pp. 54-58
Author(s):  
Jin L. Hu
Keyword(s):  
Information Theory ◽  
Objective Assessment ◽  
Physical And Mechanical Properties ◽  
Expert Group ◽  
Fabric Hand ◽  
Hand Evaluation ◽  
Train Of Thought ◽  
Medium Weight ◽  
Fabric Hand Evaluation

In this paper, the author applies the principle of information theory to probe the role that experience plays in the process of fabric hand evaluation. 8 experts and 8 non-experts, two group judges assessed 8 medium-weight worsted fabrics for men’s suiting. The results have been analysed. The data show that the expert group has the higher ability of handling instinct attributes of a fabric than the non-expert group do. In other words, the experts seem to be more sensitive to the change of fabric physical and mechanical properties than the non-experts. And when a expert assesses a fabric by hand, he introduces few subjective factors, that is to say, the result of the evaluation of touch quality of a fabric by a expert has higher objectivity or reliability. This may provide a fundamental or a train of thought for the objective assessment of fabric hand in textile science and technology.

AN INTELLIGENT SENSORY EVALUATION METHOD FOR INDUSTRIAL PRODUCTS CHARACTERIZATION

2007 ◽  
Vol 06 (02) ◽  
pp. 349-370 ◽  
Author(s):  
YANG XU ◽  
XIANYI ZENG ◽  
LUDOVIC KOEHL
Keyword(s):  
Sensory Evaluation ◽  
Evaluation Method ◽  
New Method ◽  
Uncertain Information ◽  
Industrial Products ◽  
Sensory Data ◽  
Fabric Hand ◽  
Hand Evaluation ◽  
Fabric Hand Evaluation

This paper presents a new method for sensory evaluation of industrial products with uncertain information. In this approach, sensory data provided by different evaluators are transformed into measures of consistency on fuzzy satisfaction degrees. Based on these measures of consistency, we obtain the aggregated information for all evaluators and all attributes and measure the dissimilarity between evaluators and between used evaluation attributes. The effectiveness of this method has been validated in the fabric hand evaluation for a number of samples of knitted cotton.

Trust in the Police: Cross-country Comparisons

2012 ◽  
pp. 24-47
Author(s):  
V. Gimpelson ◽  
G. Monusova
Keyword(s):  
Public Opinion ◽  
Public Attitudes ◽  
Crime Rates ◽  
Authoritarian Regimes ◽  
Data Sets ◽  
The Public ◽  
Positive Attitudes ◽  
Cross Country ◽  
Police Activity

Using different cross-country data sets and simple econometric techniques we study public attitudes towards the police. More positive attitudes are more likely to emerge in the countries that have better functioning democratic institutions, less prone to corruption but enjoy more transparent and accountable police activity. This has a stronger impact on the public opinion (trust and attitudes) than objective crime rates or density of policemen. Citizens tend to trust more in those (policemen) with whom they share common values and can have some control over. The latter is a function of democracy. In authoritarian countries — “police states” — this tendency may not work directly. When we move from semi-authoritarian countries to openly authoritarian ones the trust in the police measured by surveys can also rise. As a result, the trust appears to be U-shaped along the quality of government axis. This phenomenon can be explained with two simple facts. First, publicly spread information concerning police activity in authoritarian countries is strongly controlled; second, the police itself is better controlled by authoritarian regimes which are afraid of dangerous (for them) erosion of this institution.

Effects of Population Structure and Admixture on Exact Tests for Association Between Loci

Genetics ◽  
2003 ◽  
Vol 164 (1) ◽  
pp. 381-387
Author(s):  
B Law ◽  
J S Buckleton ◽  
C M Triggs ◽  
B S Weir
Keyword(s):  
Population Subdivision ◽  
Data Sets ◽  
Multilocus Genotype ◽  
Test Statistic ◽  
Exact Test ◽  
Testing Strategies ◽  
Different Populations ◽  
Alternative Testing ◽  
Sparse Data Sets ◽  
Alternative Testing Strategies

Abstract The probability of multilocus genotype counts conditional on allelic counts and on allelic independence provides a test statistic for independence within and between loci. As the number of loci increases and each sampled genotype becomes unique, the conditional probability becomes a function of total heterozygosity. In that case, it does not address between-locus dependence directly but only indirectly through detection of the Wahlund effect. Moreover, the test will reject the hypothesis of allelic independence only for small values of heterozygosity. Low heterozygosity is expected for population subdivision but not for population admixture. The test may therefore be inappropriate for admixed populations. If individuals with parents in two different populations are always considered to belong to one of the populations, then heterozygosity is increased in that population and the exact test should not be used for sparse data sets from that population. If such a case is suspected, then alternative testing strategies are suggested.

scholarly journals Plasma Cleaning Improves the Image Quality of Serial Block-face Scanning Electron Microscopy (SBFSEM) Volumetric Data Sets

2017 ◽  
Vol 23 (S1) ◽  
pp. 1266-1267 ◽  
Author(s):  
Barbara Armbruster ◽  
Christopher Booth ◽  
Stuart Searle ◽  
Michael Cable ◽  
Ronald Vane
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Image Quality ◽  
Data Sets ◽  
Plasma Cleaning ◽  
Volumetric Data ◽  
Face Scanning ◽  
Block Face ◽  
Scanning Electron

scholarly journals Effectiveness of e-cigarettes in smoking cessation: a systematic review and meta-analysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Oberndorfer ◽  
I Grabovac ◽  
S Haider ◽  
T E Dorner
Keyword(s):  
Systematic Review ◽  
Smoking Cessation ◽  
Meta Analysis ◽  
Current Evidence ◽  
Promising Alternative ◽  
Quality Of Evidence ◽  
Different Populations ◽  
Meta Analyses

Abstract Background Reports of the effectiveness of e-cigarettes (ECs) for smoking cessation vary across different studies making implementation recommendations hard to attain. We performed a systematic review and meta-analysis to synthesise the current evidence regarding the effectiveness of ECs for smoking cessation. Methods PubMed, PsycInfo and Embase databases were searched for randomized controlled trials comparing nicotine ECs with non-nicotine ECs or with established smoking cessation interventions (nicotine replacement therapy (NRT) and or counselling) published between 01/01/2014 and 01/05/2019. Data from eligible studies were extracted and used for random-effects meta-analyses. Results Our literature review yielded 13190 publications with 10 studies being identified as eligible for systematic review, covering 8362 participants, and 8 for meta-analyses (n = 30 - 6006). Using the last follow-up of eligible studies, the proportion of smokers achieving abstinence was 1.67 [95CI:0.99 - 2.81] times higher in nicotine EC users compared to non-nicotine EC users. The proportion of abstinent smokers was 1.69 [95CI:1.25 - 2.27] times higher in EC users compared to participants receiving NRT. EC users showed a 2.70 [95CI:1.15 - 6.30] times higher proportion of abstinent smokers in comparison to participants solely receiving counselling. Conclusions Our analysis showed modest effects of nicotine-ECs compared to non-nicotine ECs. When compared to NRT or counselling, results suggest that nicotine EC may be more effective for smoking cessation. As ECs also help maintaining routinized behaviour and social aspects of smoking, we hypothesise that this may explain their advantage as a tool for smoking cessation. However, given the small number of included studies, different populations, heterogeneous designs, and the overall moderate to low quality of evidence, it is not possible to offer clear recommendations. More comparable data is needed to strengthen confidence in the quality of evidence. Key messages The number of previous studies assessing the effectiveness of ECs for smoking cessation is limited. Further, comparability of these studies is restricted, weakening the quality of evidence. Although current evidence on the effectiveness of ECs for smoking cessation is inconclusive, our meta-analyses suggest that ECs could be a promising alternative tool in attempts to achieve abstinence.

scholarly journals Integration of Satellite Data with High Resolution Ratio: Improvement of Spectral Quality with Preserving Spatial Details

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4418 ◽  
Author(s):  
Aleksandra Sekrecka ◽  
Michal Kedzierski
Keyword(s):  
High Ratio ◽  
Data Sets ◽  
Spectral Quality ◽  
Local Statistics ◽  
Panchromatic Image ◽  
Urbanized Area ◽  
Fusion Methods ◽  
Spatial Quality ◽  
Different Levels

Commonly used image fusion techniques generally produce good results for images obtained from the same sensor, with a standard ratio of spatial resolution (1:4). However, an atypical high ratio of resolution reduces the effectiveness of fusion methods resulting in a decrease in the spectral or spatial quality of the sharpened image. An important issue is the development of a method that allows for maintaining simultaneous high spatial and spectral quality. The authors propose to strengthen the pan-sharpening methods through prior modification of the panchromatic image. Local statistics of the differences between the original panchromatic image and the intensity of the multispectral image are used to detect spatial details. The Euler’s number and the distance of each pixel from the nearest pixel classified as a spatial detail determine the weight of the information collected from each integrated image. The research was carried out for several pan-sharpening methods and for data sets with different levels of spectral matching. The proposed solution allows for a greater improvement in the quality of spectral fusion, while being able to identify the same spatial details for most pan-sharpening methods and is mainly dedicated to Intensity-Hue-Saturation based methods for which the following improvements in spectral quality were achieved: about 30% for the urbanized area and about 15% for the non-urbanized area.

scholarly journals A nudge in the right direction: the role of food choice architecture in changing populations' diets

2021 ◽  
pp. 1-12
Author(s):  
H. Ensaff
Keyword(s):  
Food Choice ◽  
Empirical Studies ◽  
Food Selection ◽  
Theoretical Background ◽  
Choice Architecture ◽  
Different Populations ◽  
The Right ◽  
Care Costs

Populations' diets typically fall short of recommendations. The implication of this on ill health and quality of life is well established, as are the subsequent health care costs. An area of growing interest within public health nutrition is food choice architecture; how a food choice is framed and its influence on subsequent food selection. In particular, there is an appeal to manipulating the choice architecture in order to nudge individuals' food choice. This review outlines the current understanding of food choice architecture, theoretical background to nudging and the evidence on the effectiveness of nudge strategies, as well as their design and implementation. Interventions emphasising the role of nudge strategies have investigated changes to the accessibility, availability and presentation of food and the use of prompts. Empirical studies have been conducted in laboratories, online and in real-world food settings, and with different populations. Evidence on the effectiveness of nudge strategies in shifting food choice is encouraging. Underpinning mechanisms, not yet fully explicated, are proposed to relate to salience, social norms and the principle of least effort. Emerging evidence points to areas for development including the effectiveness of choice architecture interventions with different and diverse populations, and the combined effect of multiple nudges. This, alongside further examination of theoretical mechanisms and guidance to engage and inspire across the breadth of food provision, is critical. In this way, the potential of choice architecture to effect meaningful change in populations' diets will be realised.

Iranian Coaches Forgiveness and Relationship Quality to Their Athletes

2021 ◽  
pp. 1-8
Author(s):  
Hassan Gharayagh Zandi ◽  
Sahar Zarei ◽  
Mohammad Ali Besharat ◽  
Davoud Houminiyan sharif abadi ◽  
Ahmad Bagher Zadeh
Keyword(s):  
Relationship Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Data Sets ◽  
Mediating Role ◽  
Interpersonal Behaviors ◽  
Key Factor ◽  
The Relationship

Coaching has often been viewed as a context within which coaches operate to largely bring about changes in athlete’s performance and flourishing. One key factor to successful outcomes in coaching is the quality of the relationship between coaches and athletes. The coach–athlete relationship is at the heart of coaching; however, limited studies have been conducted on its antecedents. The aim of this study was to investigate the relationship between coaches’ forgiveness and perceived relationship quality toward their athletes through verifying the mediating role of interpersonal behaviors of coaches. A total of 270 Iranian coaches participated in the survey, and the data sets were analyzed using structural equation modeling. Results revealed that forgiveness positively predicted the coaches’ perceived relationship quality with their athletes, and this pathway was mediated by the coaches’ interpersonal behaviors.

scholarly journals Great differences in performance and outcome of high-throughput sequencing data analysis platforms for fungal metabarcoding

MycoKeys ◽  
2018 ◽  
Vol 39 ◽  
pp. 29-40 ◽  
Author(s):  
Sten Anslan ◽  
R. Henrik Nilsson ◽  
Christian Wurzbacher ◽  
Petr Baldrian ◽  
Leho Tedersoo ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Computation Time ◽  
Potential Effect ◽  
Data Sets ◽  
Sequencing Data ◽  
Operational Taxonomic Units ◽  
High Throughput Sequencing Data ◽  
Recent Developments

Along with recent developments in high-throughput sequencing (HTS) technologies and thus fast accumulation of HTS data, there has been a growing need and interest for developing tools for HTS data processing and communication. In particular, a number of bioinformatics tools have been designed for analysing metabarcoding data, each with specific features, assumptions and outputs. To evaluate the potential effect of the application of different bioinformatics workflow on the results, we compared the performance of different analysis platforms on two contrasting high-throughput sequencing data sets. Our analysis revealed that the computation time, quality of error filtering and hence output of specific bioinformatics process largely depends on the platform used. Our results show that none of the bioinformatics workflows appears to perfectly filter out the accumulated errors and generate Operational Taxonomic Units, although PipeCraft, LotuS and PIPITS perform better than QIIME2 and Galaxy for the tested fungal amplicon dataset. We conclude that the output of each platform requires manual validation of the OTUs by examining the taxonomy assignment values.

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