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Extraction: Advanced Methods00:56

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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In biological systems, most metabolic pathways are interconnected. The cellular respiration processes that convert glucose to ATP—such as glycolysis, pyruvate oxidation, and the citric acid cycle—tie into those that break down other organic compounds. As a result, various foods—from apples to cheese to guacamole—end up as ATP. In addition to carbohydrates, food also contains proteins and lipids—such as cholesterol and fats. All of these organic compounds are used...
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Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
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Protein Digestion01:02

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Protein digestion begins in the stomach, where the highly acidic environment can easily disrupt protein structure by exposing the peptide bonds of polypeptide chains. After polypeptide chains are broken into individual amino acids by a series of digestive enzymes, the amino acids are transported to the liver via the bloodstream to produce energy.
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Consider a neutral form of an amine, B, with a partition coefficient, K, in a liquid mixture containing organic and aqueous phases. The pH of the aqueous phase affects the charge on acidic and basic solutes, and the charged form is usually more soluble in the aqueous phase. Suppose the conjugate acid form of the amine is soluble only in the aqueous phase while the base form is soluble in both phases. Then the distribution coefficient, D, can be given as the ratio of amine concentration in the...
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Dietary Pattern Extraction Using Natural Language Processing Techniques.

Insu Choi1, Jihye Kim2, Woo Chang Kim1

  • 1Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.

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Summary
This summary is machine-generated.

Korean adults

Keywords:
dietary patternmachine learningnatural language processing (NLP)topic modelingword embedding

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Area of Science:

  • Nutrition Science
  • Public Health
  • Computational Methods

Background:

  • Dietary patterns significantly impact population health.
  • Understanding shifts in dietary habits is crucial for public health interventions.
  • Previous analyses relied on traditional methods for dietary pattern extraction.

Purpose of the Study:

  • To analyze changes in Korean adult dietary patterns over a decade.
  • To compare dietary patterns from 2007-2009 with those from 2016-2018.
  • To explore novel computational methods for dietary pattern analysis.

Main Methods:

  • Utilized 24-hour dietary recall data from the Korea National Health and Nutrition Examination Survey (KNHANES).
  • Applied machine learning and natural language processing (NLP) techniques for dietary pattern extraction.
  • Identified three distinct dietary patterns for each survey period.

Main Results:

  • Observed a significant increase in Western dietary patterns among Korean adults between 2007-2009 and 2016-2018.
  • Identified dietary patterns comparable to traditional and Western styles in both periods.
  • Demonstrated the efficacy of NLP in extracting detailed dietary information.

Conclusions:

  • Korean adult diets have shifted towards Western patterns over the past decade.
  • Natural language processing offers a powerful, novel approach for dietary pattern analysis.
  • Findings provide valuable insights for targeted public health nutrition strategies in Korea.