The Response of Textured Yarn Properties to Process Variables in Relation to Barré

1977 ◽  
Vol 47 (9) ◽  
pp. 598-603 ◽  
Author(s):  
R. McGregor ◽  
P. L. Grady ◽  
T. Montgomery ◽  
J. Adeimy
Keyword(s):  
Quality Control ◽  
Thermomechanical Analysis ◽  
Process Variables ◽  
Yarn Properties ◽  
Analysis Technique ◽  
Wide Range ◽  
False Twist

A thermomechanical analysis technique has been used to characterize a set of false-twist pin-textured polyester yarns. These yams were generated under a wide range of texturing conditions from two distinct lots of fully-drawn feed yarn which differed in orientation. The analysis yielded a variety of thermomechanical yarn parameters. One set of parameters had some of the properties of an “effective yarn-texturing temperature.” A different set of parameters correlated with the tensile, shrinkage, or crimp parameters of the yarns and were sensitive to the effects of feed-yarn orientation differences. Other parameters correlated with textured yarn dyeability. Measurements of this type should prove valuable in the quality control of textured yarns and in the diagnosis of yarn faults.

The Response of Textured Yarn Properties to Process Variables in Relation to Barré

1977 ◽  
Vol 47 (7) ◽  
pp. 477-484 ◽  
Author(s):  
R. Mcgregor ◽  
J. A. Adeimy
Keyword(s):  
Quality Control ◽  
Process Variables ◽  
Yarn Properties ◽  
Control Procedures ◽  
False Twist

The dyeing behavior of conventional false-twist pin-textured polyester yarns has been studied as a function of the texturing variables. Three different dyes and three different dyeing procedures were employed. The data obtained are discussed in relation to existing quality-control procedures for textured yarns and the role of feed-yarn non-uniformity in barré problems.

Measurements method of the audio recordings acoustic quality indicator prepared for registration and processing in the Unified Biometric System

2019 ◽  
pp. 40-46 ◽  
Author(s):  
V.V. Savchenko ◽  
A.V. Savchenko
Keyword(s):  
Quality Control ◽  
Small Sample Size ◽  
Personal Data ◽  
Digital Processing ◽  
Small Sample ◽  
Practical Implementation ◽  
Acoustic Measurements ◽  
Pitch Frequency ◽  
Wide Range ◽  
Automated Quality Control

We consider the task of automated quality control of sound recordings containing voice samples of individuals. It is shown that in this task the most acute is the small sample size. In order to overcome this problem, we propose the novel method of acoustic measurements based on relative stability of the pitch frequency within a voice sample of short duration. An example of its practical implementation using aninter-periodic accumulation of a speech signal is considered. An experimental study with specially developed software provides statistical estimates of the effectiveness of the proposed method in noisy environments. It is shown that this method rejects the audio recording as unsuitable for a voice biometric identification with a probability of 0,95 or more for a signal to noise ratio below 15 dB. The obtained results are intended for use in the development of new and modifying existing systems of collecting and automated quality control of biometric personal data. The article is intended for a wide range of specialists in the field of acoustic measurements and digital processing of speech signals, as well as for practitioners who organize the work of authorized organizations in preparing for registration samples of biometric personal data.

Computational Strategies for Analyzing Data in Gene Expression Microarray Experiments

2003 ◽  
Vol 01 (03) ◽  
pp. 541-586 ◽  
Author(s):  
Tero Aittokallio ◽  
Markus Kurki ◽  
Olli Nevalainen ◽  
Tuomas Nikula ◽  
Anne West ◽  
...  
Keyword(s):  
Gene Expression ◽  
Data Analysis ◽  
Microarray Data ◽  
Microarray Data Analysis ◽  
Biological Research ◽  
Microarray Experiments ◽  
Dna Microarray Data ◽  
Open Questions ◽  
Analysis Technique ◽  
Wide Range

Microarray analysis has become a widely used method for generating gene expression data on a genomic scale. Microarrays have been enthusiastically applied in many fields of biological research, even though several open questions remain about the analysis of such data. A wide range of approaches are available for computational analysis, but no general consensus exists as to standard for microarray data analysis protocol. Consequently, the choice of data analysis technique is a crucial element depending both on the data and on the goals of the experiment. Therefore, basic understanding of bioinformatics is required for optimal experimental design and meaningful interpretation of the results. This review summarizes some of the common themes in DNA microarray data analysis, including data normalization and detection of differential expression. Algorithms are demonstrated by analyzing cDNA microarray data from an experiment monitoring gene expression in T helper cells. Several computational biology strategies, along with their relative merits, are overviewed and potential areas for additional research discussed. The goal of the review is to provide a computational framework for applying and evaluating such bioinformatics strategies. Solid knowledge of microarray informatics contributes to the implementation of more efficient computational protocols for the given data obtained through microarray experiments.

scholarly journals Production Process Effect on Mexican Agave Syrups Quality: A Preliminary Study

2018 ◽  
Vol 7 (3) ◽  
pp. 50
Author(s):  
Blanca I. Maldonado-Guevara ◽  
Sandra T. Martín del Campo ◽  
Anaberta Cardador-Martínez
Keyword(s):  
Production Process ◽  
Industrial Process ◽  
Quality Parameters ◽  
Thermal Hydrolysis ◽  
Process Variables ◽  
Anova Analysis ◽  
Hydroxymethyl Furfural ◽  
Wide Range ◽  
Preliminary Study

In this work, the quality parameters of commercial agave syrups produced in five different Mexican states and with different production process were evaluated. Regulated parameters (pH, Moisture, Ashes, and 5-(hydroxymethyl) furfural), as well as color and aw, were measured on 25 agave syrups, including traditional samples as controls. Traditional and semi-industrial syrups were samples obtained by thermal hydrolysis. Additionally, the semi-industrial process included control of process variables such as pH, °Bx, and temperature. The industrial process is technified. The agave syrups ranged from 70-76 °Bx, pH ranged from 3.2-6.7, and moisture from 20.2-28.6%. The aw values shown a wide variation as well as L* a* and b* color parameters. Some of those parameters shown significant differences in ANOVA analysis; however, most of the samples complied with the norm. General Discriminant Analysis (GDA) made it possible to discriminate between production process by using pH, % Ash, b*, 5-(hydroxymethyl)furfural and a* parameters. Further analysis of a wide range of syrups and the inclusion of non-regulated compounds such as volatile compounds and carbohydrates are needed to get more information for a deeper characterization of agave syrups. 

scholarly journals Prototype of the Near-Infrared Spectroscopy Expert System for Particleboard Identification

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Anna Sandak ◽  
Jakub Sandak ◽  
Dominika Janiszewska ◽  
Salim Hiziroglu ◽  
Marta Petrillo ◽  
...  
Keyword(s):  
Quality Control ◽  
Expert System ◽  
Near Infrared ◽  
System Development ◽  
Nir Spectroscopy ◽  
Original System ◽  
Adhesive System ◽  
Type Composition ◽  
Wide Range ◽  
Panel Type

The overall goal of this work was to develop a prototype expert system assisting quality control and traceability of particleboard panels on the production floor. Four different types of particleboards manufactured at the laboratory scale and in industrial plants were evaluated. The material differed in terms of panel type, composition, and adhesive system. NIR spectroscopy was employed as a pioneer tool for the development of a two-level expert system suitable for classification and traceability of investigated samples. A portable, commercially available NIR spectrometer was used for nondestructive measurements of particleboard panels. Twenty-five batches of particleboards, each containing at least three independent replicas, was used for the original system development and assessment of its performance. Four alternative chemometric methods (PLS-DA, kNN, SIMCA, and SVM) were used for spectroscopic data classification. The models were developed for panel recognition at two levels differing in terms of their generality. In the first stage, four among twenty-four tested combinations resulted in 100% correct classification. Discrimination precision with PLS-DA and SVMC was high (>99%), even without any spectra preprocessing. SNV preprocessed spectra and SVMC algorithm were used at the second stage for panel batch classification. Panels manufactured by two producers were 100% correctly classified, industrial panels produced by different manufacturing plants were classified with 98.9% success, and the experimental panels manufactured in the laboratory were classified with 63.7% success. Implementation of NIR spectroscopy for wood-based product traceability and quality control may have a great impact due to the high versatility of the production and wide range of particleboards utilization.

scholarly journals The SeaSWIR dataset

2018 ◽  
Author(s):  
Els Knaeps ◽  
David Doxaran ◽  
Ana Dogliotti ◽  
Bouchra Nechad ◽  
Kevin Ruddick ◽  
...  
Keyword(s):  
Quality Control ◽  
Suspended Matter ◽  
Short Wave ◽  
Total Suspended Matter ◽  
High Quality ◽  
Detailed Measurement ◽  
La Plata ◽  
Measurement Protocol ◽  
Wide Range ◽  
Quality Measurements

Abstract. The SeaSWIR dataset consists of 137 ASD (Analytical Spectral Devices, Inc.) marine reflectances, 137 Total Suspended Matter (TSM) measurements and 97 turbidity measurements gathered at three turbid estuarine sites (Gironde, La Plata, Scheldt). The dataset is valuable because of the high quality measurements of the marine reflectance in the Short Wave InfraRed I region (SWIR-I: 1000–1200 nm) and SWIR-II (1200–1300 nm) and because of the wide range of TSM concentrations from 48 mg L−1 up to 1400 mg L−1. The ASD measurements were gathered using a detailed measurement protocol and were subjected to a strict quality control. The SeaSWIR marine reflectance is characterized by low reflectance at short wavelengths (

Simplified approach to confidence limited in radioimmunassay.

1980 ◽  
Vol 26 (6) ◽  
pp. 763-765 ◽  
Author(s):  
R C Baxter
Keyword(s):  
Quality Control ◽  
Mean Value ◽  
Confidence Limits ◽  
Simple Method ◽  
Response Variable ◽  
Simplified Approach ◽  
Quadratic Curve ◽  
Wide Range ◽  
Advanced Computing ◽  
Routine Quality Control

Abstract A simple method of calculating confidence limits for radioimmunoassay data is presented. The method involves the use of the within-assay variation in dose estimate of three routine quality-control specimens, measured in repeated assays, to estimate the confidence limits for results on unknown samples. Results for control specimens are combined by calculating the unique quadratic curve fitting a graph of within-assay standard deviation vs mean value for each control. This method requires no special data accumulation or advanced computing equipment. For cortisol, lutropin, and thyroxine radioimmunoassays, confidence limits calculated in this way have been compared with those calculated from the variance of the response variable “B/B0” in repeated standard curves. Both methods agree well with actual limits observed when plasma pools containing a wide range of hormone concentrations are assayed repeatedly.

scholarly journals Enhanced Surveillance of Foodborne Mycotoxins by Immunochemical Assay

1988 ◽  
Vol 71 (6) ◽  
pp. 1075-1081 ◽  
Author(s):  
James J Pestka
Keyword(s):  
Quality Control ◽  
Solid Phase ◽  
Protein Conjugates ◽  
Sample Extract ◽  
Large Numbers ◽  
Wide Range ◽  
Enzyme Conjugate ◽  
Aflatoxin B ◽  
Sampling Procedures ◽  
Instrumental Methods

Abstract Mycotoxins are a chemically diverse group of fungal secondary metabolites with a wide range of toxic effects. Conventional thin-layer and instrumental methods of mycotoxin analysis are time-consuming and make routine safety and quality control screening of these compounds in agricultural commodities difficult. As an alternative, specific polyclonal and monoclonal antibodies have been raised against mycotoxin-protein conjugates and used in sensitive radioimmunoassays (RIAs) and enzyme-linked immunosorbent assays (ELISAs). One of the simplest ELISA approaches involves competition for a solid-phase antibody between a mycotoxin-enzyme conjugate and an unconjugated mycotoxin in the sample extract. ELISAs have been developed for aflatoxins B, and M„ zearalenone, T-2 toxin, and deoxynivalenol, which are highly specific, rapid (10 min), easily adaptable for analyzing large numbers of samples, and directly applicable to assaying methanol-water extracts of a wide range of foods. Several commercial mycotoxin ELISAs using this approach (most typically for aflatoxin B,) are currently being marketed. Since ELISAs will be used in large part by personnel with limited technical expertise, individual kits must be critically evaluated by analytical chemists for suggested sampling procedures, efficiency of extraction, crossreactivity, mycotoxin recovery, assay reproducibility, and product shelf-life prior to routine use in food safety and quality control screening

Discrete modular system for automation of radioimmunoassay of serum choriomammotropin.

1979 ◽  
Vol 25 (1) ◽  
pp. 129-131 ◽  
Author(s):  
G L Hammond ◽  
P Leinonen ◽  
R Vihko
Keyword(s):  
Quality Control ◽  
Placental Lactogen ◽  
Modular System ◽  
Present System ◽  
Modular Approach ◽  
Wide Range ◽  
Assay Precision ◽  
Time Required ◽  
Glycol Solution ◽  
Remaining Time

Abstract We describe a discrete automated radioimmunoassay system for determining choriomammotropin (placental lactogen) in human serum. With the present system it can be measured in as many as 37 unknown sera (50 muL) and three quality-control sera, in duplicate, within 1.5 h. The time required for sample preparation, incubation (15 min), and separation of free and bound radioactivities (a 150 mL/L polyethylene glycol solution is superior to a twofold volume of absolute ethanol) is less than 45 min. The remaining time required is for counting and data processing. Intra-assay precision is 4.6% (CV). The modular approach endows the instrumentation with much flexibility, and consequently is suitable for automation of a wide range of assay protocols.

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