Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Indicators02:39

Indicators

61.1K
Certain organic substances change color in dilute solution when the hydronium ion concentration reaches a particular value. For example, phenolphthalein is a colorless substance in any aqueous solution with a hydronium ion concentration greater than 5.0 × 10−9 M (pH < 8.3). In more basic solutions where the hydronium ion concentration is less than 5.0 × 10−9 M (pH > 8.3), it is red or pink. Substances such as phenolphthalein, which can be used to determine the pH of a solution, are...
61.1K
Introducing Social Perception01:29

Introducing Social Perception

388
Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...
388
Mechanical Ventilation I: Indication and Settings01:29

Mechanical Ventilation I: Indication and Settings

2.9K
Mechanical ventilation is a life-saving technique for managing acute respiratory failure and other respiratory complications. The process involves using a machine known as a ventilator to supply oxygen to the lungs and assist in removing carbon dioxide. It serves as a bridge to long-term mechanical ventilation or a temporary measure until ventilatory support is discontinued. The ventilator can maintain this function for a prolonged period, providing critical support for patients until they can...
2.9K
Respiratory Assessment: Purpose and Indications01:19

Respiratory Assessment: Purpose and Indications

1.8K
Respiratory assessment is a cornerstone of nursing assessments, crucial for the early detection of patient deterioration. This evaluation transcends routine procedures, representing a critical skill nurses must master to ensure optimal patient care.
Objectives and Importance:
The primary goal of respiratory assessment is to evaluate patients at early risk of clinical deterioration. Since respiratory distress often precedes other signs of declining health, breathing patterns and sounds become a...
1.8K
Bioequivalence of Drugs: Drugs with Multiple Indications01:09

Bioequivalence of Drugs: Drugs with Multiple Indications

162
The concept of therapeutic equivalence (TE) in drugs with multiple indications is complex. A generic drug may be therapeutically equivalent to a brand-name product for one specific indication, but this doesn't necessarily mean it's equivalent for all other indications. Evidence of TE in one patient group and bioequivalence shown in healthy volunteers can support—but not confirm—TE for other indications. However, definitive proof requires individual clinical studies for each...
162
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

4.2K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
4.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater.

Journal of contaminant hydrology·2025
Same author

Assessing uncertainties in modeling the risk of geogenic groundwater contamination.

Environmental science and pollution research international·2025
Same author

Incorporating hydraulic gradient and pumping rate into GALDIT framework to assess groundwater vulnerability to salinity in coastal aquifers: a case study from Urmia Plain, Iran.

Environmental science and pollution research international·2024
Same author

Assessing vulnerability of coastal aquifer to seawater intrusion using Convolutional Neural Network.

Marine pollution bulletin·2023
Same author

A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India.

Environmental science and pollution research international·2023
Same author

Removal of arsenic with functionalized multi-walled carbon nanotubes (MWCNTs-COOH) using the magnetic method (Fe<sub>3</sub>O<sub>4</sub>) from aqueous solutions.

RSC advances·2023

Related Experiment Video

Updated: Feb 7, 2026

A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
06:15

A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

Published on: July 10, 2017

13.9K

Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT.

Ata Allah Nadiri1, Zeynab Taheri1, Rahman Khatibi2

  • 1Department of Earth Sciences, Faculty of Natural Sciences, University of Tabriz, 29 Bahman Boulevard, Tabriz, East Azerbaijan, Iran.

The Science of the Total Environment
|July 27, 2018
PubMed
Summary

A new framework, ALPRIFT, proactively maps land subsidence vulnerability in Iran's Shabestar plain. This method, enhanced by fuzzy logic, significantly improves accuracy in predicting subsidence risks for vulnerable agricultural regions.

Keywords:
ALPRIFTFuzzy logicSentinel-1 InSARShabestarSubsidence

More Related Videos

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

4.0K
Introducing Shear Stress in the Study of Bacterial Adhesion
13:28

Introducing Shear Stress in the Study of Bacterial Adhesion

Published on: September 2, 2011

16.3K

Related Experiment Videos

Last Updated: Feb 7, 2026

A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
06:15

A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

Published on: July 10, 2017

13.9K
Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
06:48

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

4.0K
Introducing Shear Stress in the Study of Bacterial Adhesion
13:28

Introducing Shear Stress in the Study of Bacterial Adhesion

Published on: September 2, 2011

16.3K

Area of Science:

  • Geosciences
  • Hydrology
  • Environmental Science

Background:

  • Aquifer water table decline in Northwest Iran, near Lake Urmia, has reached approximately 4m between 2004-2014.
  • Declining water tables degrade soil structure, increasing susceptibility to land subsidence.
  • Agricultural regions are particularly vulnerable to subsidence due to groundwater reliance.

Purpose of the Study:

  • To introduce and validate the ALPRIFT framework for proactive mapping of land subsidence vulnerability.
  • To assess the effectiveness of the ALPRIFT framework in the Shabestar plain, an agriculturally vital region.
  • To compare the performance of the ALPRIFT framework with and without fuzzy logic integration.

Main Methods:

  • Development of the ALPRIFT framework, incorporating seven data layers: Aquifer media, Land use, Pumping, Recharge, Impact of aquifer thickness, Fault distance, and water Table decline.
  • Assigning local rates and weights to data layers to account for relative importance and variations.
  • Utilizing fuzzy logic and ROC/AUC metrics to evaluate the correlation between predicted Subsidence Vulnerability Indices (SVIs) and measured subsidence.

Main Results:

  • The ALPRIFT framework demonstrated a correlation of 0.5 between SVIs and measured subsidence.
  • Integration of fuzzy logic significantly improved the correlation to 0.86, indicating enhanced predictive accuracy.
  • ROC/AUC performance metrics further supported the improvements achieved with fuzzy logic.

Conclusions:

  • The ALPRIFT framework offers a proactive capability for mapping subsidence vulnerability.
  • Fuzzy logic integration substantially enhances the accuracy of subsidence vulnerability assessment.
  • The framework provides a valuable tool for managing groundwater resources and mitigating subsidence risks in vulnerable agricultural areas.