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Related Concept Videos

Quality of Water01:19

Quality of Water

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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Quality Control01:05

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
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Quality Assurance01:19

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Pulse amplitude and quality01:17

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Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
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When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
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Preparation of High-Quality Fermented Fish Product
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Quality dimensions features for identifying high-quality user replies in text forum threads using classification

Akram Osman1, Naomie Salim1, Faisal Saeed2

  • 1School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.

Plos One
|May 16, 2019
PubMed
Summary
This summary is machine-generated.

This study presents an approach to identify high-quality replies in Text Forum Threads (TFThs). The method uses quality dimensions and classifiers to extract relevant information for improved forum summarization.

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Area of Science:

  • Computer Science
  • Natural Language Processing
  • Information Retrieval

Background:

  • Text Forum Threads (TFThs) contain numerous Initial-Post Reply (IPR) pairs for information exchange.
  • Identifying high-quality IPR pairs is crucial due to the prevalence of irrelevant replies that can derail discussions.

Purpose of the Study:

  • To develop and evaluate an approach for identifying high-quality user replies within TFThs.
  • To extract relevant information and helpful replies for improved forum thread summarization.

Main Methods:

  • Utilized crowdsourcing platforms to classify replies into high-quality, low-quality, or non-quality categories.
  • Extracted and ranked high-quality IPR pairs using Support Vector Machine, Naïve Bayes, and Decision Trees classifiers.
  • Evaluated replies based on quality dimensions: relevancy, author activeness, timeliness, ease-of-understanding, politeness, and amount-of-data.

Main Results:

  • The proposed approach successfully improved the extraction of quality replies in TFThs.
  • Identified key quality dimensions that are effective for distinguishing high-quality IPR pairs.
  • Demonstrated the utility of extracted quality features for Text Forum Thread Summarization.

Conclusions:

  • The developed approach effectively identifies and extracts high-quality replies from forum discussions.
  • The identified quality dimensions and classification methods enhance information retrieval and summarization of online forum content.