Validation of the hedonic threshold methodology in determining the hedonic rejection threshold

2018 ◽  
Vol 33 (1) ◽  
pp. e12313 ◽  
Author(s):  
Tarcísio Lima Filho ◽  
Suzana Maria Della Lucia ◽  
Luis Antônio Minim ◽  
Rita de Cássia dos Santos Navarro d Silva ◽  
Valéria Paula Rodrigues Minim
Keyword(s):  
Rejection Threshold

scholarly journals Acetic acid and ethyl acetate in Madeira wines: Evolution with ageing and assessment of the odour rejection threshold

2017 ◽  
Vol 32 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Andreia Miranda ◽  
Vanda Pereira ◽  
Marisela Pontes ◽  
Francisco Albuquerque ◽  
José C. Marques
Keyword(s):  
Acetic Acid ◽  
Ethyl Acetate ◽  
Rejection Threshold

The optimal noise-rejection threshold for normal and impaired hearing

2018 ◽  
Vol 143 (3) ◽  
pp. 1940-1940 ◽  
Author(s):  
Jordan Vasko ◽  
Eric Healy ◽  
DeLiang Wang
Keyword(s):  
Impaired Hearing ◽  
Noise Rejection ◽  
Rejection Threshold

scholarly journals Methodology for determination of two new sensory thresholds: Compromised acceptance threshold and rejection threshold

2015 ◽  
Vol 76 ◽  
pp. 561-566 ◽  
Author(s):  
Tarcísio Lima Filho ◽  
Valéria Paula Rodrigues Minim ◽  
Rita de Cássia dos Santos Navarro da Silva ◽  
Suzana Maria Della Lucia ◽  
Luis Antônio Minim
Keyword(s):  
Sensory Thresholds ◽  
Acceptance Threshold ◽  
Rejection Threshold

scholarly journals Constructive Genetic Algorithm for Clustering Problems

2001 ◽  
Vol 9 (3) ◽  
pp. 309-327 ◽  
Author(s):  
Luiz Antonio Nogueira Lorena ◽  
João Carlos Furtado
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problems ◽  
Positive Influence ◽  
Greedy Heuristics ◽  
Fitness Functions ◽  
Common Basis ◽  
Rejection Threshold ◽  
Block Construction ◽  
Problem Instances ◽  
Clustering Problems

Genetic algorithms (GAs) have recently been accepted as powerful approaches to solving optimization problems. It is also well-accepted that building block construction (schemata formation and conservation) has a positive influence on GA behavior. Schemata are usually indirectly evaluated through a derived structure. We introduce a new approach called the Constructive Genetic Algorithm (CGA), which allows for schemata evaluation and the provision of other new features to the GA. Problems are modeled as bi-objective optimization problems that consider the evaluation of two fitness functions. This double fitness process, called fg-fitness, evaluates schemata and structures in a common basis. Evolution is conducted considering an adaptive rejection threshold that contemplates both objectives and attributes a rank to each individual in population. The population is dynamic in size and composed of schemata and structures. Recombination preserves good schemata, and mutation is applied to structures to get population diversification. The CGA is applied to two clustering problems in graphs. Representation of schemata and structures use a binary digit alphabet and are based on assignment (greedy) heuristics that provide a clearly distinguished representation for the problems. The clustering problems studied are the classical p-median and the capacitated p-median. Good results are shown for problem instances taken from the literature.

TARSAL SENSITIVITY OF FEMALE TABANID FLIES TO SUCROSE AND SODIUM CHLORIDE

1967 ◽  
Vol 45 (4) ◽  
pp. 461-464 ◽  
Author(s):  
Suresh B. Lall ◽  
D. M. Davies
Keyword(s):  
Sodium Chloride ◽  
Sucrose Solution ◽  
Chloride Solutions ◽  
Sodium Chloride Solutions ◽  
Rejection Threshold

The foretarsi of females of the tabanid flies, Tabanus lineola Fab., Chrysops vittatus Wied., and Hybomitra lasiophthalma (Macq.), possess contact chemoreceptive sensillae that are sensitive to sucrose and sodium chloride solutions. The tarsi play an important part in the discrimination of acceptable substrates from unacceptable ones.Differences were exhibited between the tarsal acceptance thresholds for sucrose solution; that of T. lineola was 0.05 M −0.025 M, of C. vittatus 0.0125 M −0.0625 M, and of H. lasiophthalma 0.025 M −0.0125 M. The tarsal rejection threshold of NaCl in 0.5 M sucrose solution for T. lineola was 0.80 M, for C. vittatus 0.90 M, and for H. lasiophthalma 0.90 M.

To Evaluate or Not to Evaluate?

2018 ◽  
Vol 29 (2) ◽  
pp. 42-61 ◽  
Author(s):  
Nan (Tina) Wang
Keyword(s):  
Decision Making ◽  
Process Model ◽  
Evaluation Process ◽  
Innovation Adoption ◽  
Relative Advantage ◽  
Adoption Decision ◽  
Processing Theory ◽  
Attention Process ◽  
Rejection Threshold ◽  
Adoption Decisions

Using information processing theory (IPT) as the theoretical lens and incorporating various literatures following the IPT lens (e.g., dual-threshold in signal detection), this article develops a two-process model of innovation adoption decision making, accounting for the possibility for potential adopters (at different levels) to make adoption decisions (adopt, do not adopt) with or without an intensive evaluation of the innovation. Specifically, this article proposes that there is an attention process prior to the extensively investigated intensive evaluation process; potential adopters may make adoption decisions (adopt, do not adopt) at the end of the attention process or defer making decisions until after an intensive evaluation is conducted. The impacts of innovation attributes on various influence targets (i.e., relative advantage belief strength, adoption threshold and rejection threshold) during the less examined attention process are also discussed. This article may contribute to the innovation adoption literature and provide practical implications for innovation proponents/detractors regarding how to craft sensegiving messages influencing potential adopters' decision making.

scholarly journals Exploring New and Modified Rejection-Type Thresholds Using Cricket Snack Crackers

Foods ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1352
Author(s):  
Ryan Ardoin ◽  
Ross Romero ◽  
Brian Marx ◽  
Witoon Prinyawiwatkul
Keyword(s):  
Preference Test ◽  
Stimulus Range ◽  
Sensory Threshold ◽  
Probit Regression ◽  
Product Formulation ◽  
Whole Wheat ◽  
New Concepts ◽  
Rejection Level ◽  
Rejection Threshold ◽  
Alternative Choice

Recently, sensory threshold concepts have been expanded to include affective perceptions of foods and beverages, especially measures of product rejection; however, each threshold interpretation depends largely on the methodology employed. By substituting cricket powder for whole-wheat flour in snack crackers (0%, 5%, 10%, 15%, and 20%), we proposed modifications to two existing threshold methodologies: a modified consumer rejection threshold (M-CRT) using a 2-alternative choice (2-AC) preference test with “no preference” option; and a modified hedonic rejection threshold (M-HRT) based on less-than-neutral hedonic scores according to a one-sample t-test. We also proposed two new concepts: a rejection tolerance threshold (RTT) and an associated rejection range (RR), based on a binomial acceptability question and a probit regression model. These new methods provide more realistic interpretations of rejection-type thresholds based on user-defined allowable rejection levels, or “rejection tolerance” (for RTT), and a model-derived stimulus range (RR) to capture the rejection level of interest while providing flexibility for product formulation. All thresholds were investigated separately for color, flavor, texture and overall perception, elucidating differential sensorial effects of our novel ingredient on the food matrix. We suggest that conducting all demonstrated techniques in a single testing session gives a more expansive view of rejection thresholds while requiring minimal additional resources.

scholarly journals Batch-adaptive rejection threshold estimation with application to OCR post-processing

2015 ◽  
Vol 42 (21) ◽  
pp. 8111-8122 ◽  
Author(s):  
J. Ramon Navarro-Cerdan ◽  
Joaquim Arlandis ◽  
Rafael Llobet ◽  
Juan-Carlos Perez-Cortes
Keyword(s):  
Post Processing ◽  
Threshold Estimation ◽  
Rejection Threshold

Estimating a “consumer rejection threshold” for cork taint in white wine

2005 ◽  
Vol 16 (4) ◽  
pp. 345-349 ◽  
Author(s):  
John Prescott ◽  
Leslie Norris ◽  
Madeleine Kunst ◽  
Sandra Kim
Keyword(s):  
White Wine ◽  
Rejection Threshold ◽  
Cork Taint
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