scholarly journals Data package of gas and vapor analysis of samples from the december 16, 1998 tank 241-C-106 waste retrieval sluicing system process test

1999 ◽  
Author(s):  
L.M. SASAKI
Keyword(s):  
System Process ◽  
Vapor Analysis

scholarly journals Calibration and Uncertainty Estimation for Water Content Measurement in Solids

2021 ◽  
Vol 42 (3) ◽  
Author(s):  
Rudolf Aro ◽  
Mohamed Wajdi Ben Ayoub ◽  
Ivo Leito ◽  
Éric Georgin ◽  
Benoit Savanier
Keyword(s):  
Water Vapor ◽  
Water Content ◽  
Software Tool ◽  
Uncertainty Estimation ◽  
Multiple Point ◽  
Content Measurement ◽  
Analysis Technique ◽  
Calibration Methods ◽  
Vapor Analysis ◽  
Secondary Methods

AbstractIn the field of water content measurement, the calibration of coulometric methods (e.g., coulometric Karl Fischer titration or evolved water vapor analysis) is often overlooked. However, as coulometric water content measurement methods are used to calibrate secondary methods, their results must be obtained with the highest degree of confidence. The utility of calibrating such instruments has been recently demonstrated. Both single and multiple point calibration methods have been suggested. This work compares these calibration methods for the evolved water vapor analysis technique. Two uncertainty estimation approaches (Kragten’s spreadsheet and M-CARE software tool) were compared as well, both based on the ISO GUM method.

scholarly journals Transcriptional Response in the Digestive Gland of the King Scallop (Pecten maximus) after the Injection of Domoic Acid

Toxins ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 339
Author(s):  
Pablo Ventoso ◽  
Antonio J. Pazos ◽  
Juan Blanco ◽  
M. Luz Pérez-Parallé ◽  
Juan C. Triviño ◽  
...  
Keyword(s):  
Signal Transduction ◽  
Gene Ontology ◽  
Immune System ◽  
Digestive Gland ◽  
Domoic Acid ◽  
Differentially Expressed ◽  
Pecten Maximus ◽  
System Process ◽  
Immune System Process ◽  
Response To Stress

Some diatom species of the genus Pseudo-nitzschia produce the toxin domoic acid. The depuration rate of domoic acid in Pecten maximus is very low; for this reason, king scallops generally contain high levels of domoic acid in their tissues. A transcriptomic approach was used to identify the genes differentially expressed in the P. maximus digestive gland after the injection of domoic acid. The differential expression analysis found 535 differentially expressed genes (226 up-regulated and 309 down-regulated). Protein–protein interaction networks obtained with the up-regulated genes were enriched in gene ontology terms, such as vesicle-mediated transport, response to stress, signal transduction, immune system process, RNA metabolic process, and autophagy, while networks obtained with the down-regulated genes were enriched in gene ontology terms, such as response to stress, immune system process, ribosome biogenesis, signal transduction, and mRNA processing. Genes that code for cytochrome P450 enzymes, glutathione S-transferase theta-1, glutamine synthase, pyrroline-5-carboxylate reductase 2, and sodium- and chloride-dependent glycine transporter 1 were among the up-regulated genes. Therefore, a stress response at the level of gene expression, that could be caused by the domoic acid injection, was evidenced by the alteration of several biological, cellular, and molecular processes.

One-Shot Semi-Rigid Foam System- Process and Properties

1965 ◽  
Vol 1 (2) ◽  
pp. 301-310 ◽  
Author(s):  
P.K. Huester ◽  
D.P. Huntington
Keyword(s):  
Rigid Foam ◽  
System Process

System, process, and design implications of a reduced supply voltage microprocessor

1990 ◽  
Author(s):  
R. Allmon ◽  
B. Benschneider ◽  
M. Callander ◽  
L. Chao ◽  
D. Dever ◽  
...  
Keyword(s):  
Supply Voltage ◽  
System Process

Support Vector Machine VS Information Gain: Analisis Sentimen Cyberbullying di Twitter Indonesia

2020 ◽  
Vol 11 (2) ◽  
pp. 107-111
Author(s):  
Christevan Destitus ◽  
Wella Wella ◽  
Suryasari Suryasari
Keyword(s):  
Support Vector Machine ◽  
Feature Selection ◽  
Text Mining ◽  
Information Gain ◽  
Text Processing ◽  
Support Vector ◽  
Term Weighting ◽  
System Process ◽  
Research Stage

This study aims to clarify tweets on twitter using the Support Vector Machine and Information Gain methods. The clarification itself aims to find a hyperplane that separates the negative and positive classes. In the research stage, there is a system process, namely text mining, text processing which has stages of tokenizing, filtering, stemming, and term weighting. After that, a feature selection is made by information gain which calculates the entropy value of each word. After that, clarify based on the features that have been selected and the output is in the form of identifying whether the tweet is bully or not. The results of this study found that the Support Vector Machine and Information Gain methods have sufficiently maximum results.

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