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

Testing Water Quality01:14

Testing Water Quality

425
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...
425
Quality of Water01:19

Quality of Water

611
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...
611
States of Water01:23

States of Water

57.8K
Water exists in any one of the three classical states: solid (ice), liquid (water), and gas (steam or water vapor). The state of water depends on i) the intermolecular forces that draw molecules together and ii) the kinetic energy that leads to movements that pull them apart.
Water freezes when the intermolecular forces are greater than the kinetic energy. Unlike most other substances, water is less dense in its solid state than in its liquid state. This is because each water molecule can form...
57.8K
Body Water Content and Fluid Compartments01:19

Body Water Content and Fluid Compartments

4.7K
Life's biochemical processes occur within aqueous solutions. Solutes are substances that are dissolved within these solutions. The human body contains a variety of solutes, which can differ across various body parts. These can encompass proteins—such as those responsible for clotting and carbohydrate transport—as well as electrolytes. In medicine, an electrolyte is often described as a mineral ion derived from a salt possessing an electric charge. Examples include sodium ions...
4.7K

You might also read

Related Articles

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

Sort by
Same author

Unified multi-task learning for hydrological processes using a shared transformer framework.

Scientific reports·2026
Same author

AI-powered nursing handoffs: Introducing and evaluating the patient report template.

Learning health systems·2026
Same author

RDW-to-Albumin Ratio as a Simple Biomarker for Early Mortality Risk After LVAD Implantation.

Medicina (Kaunas, Lithuania)·2026
Same author

Apical myocardial fibrosis burden identifies a high-risk phenotype and predicts cardiac mortality after LVAD implantation.

ESC heart failure·2026
Same author

Trends in nitrate levels in Iowa's community water systems (2000-2022): Characteristics of systems vulnerable to maximum contaminant level exceedances and future regulatory scenarios.

Journal of environmental quality·2026
Same author

Explainable Ensemble Machine Learning for Predicting Injury Severity in Agricultural Accidents.

Journal of agromedicine·2026

Related Experiment Video

Updated: Mar 2, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K

A novel intelligent expert system for exploring water quality data.

Gabriel Vald1,2, Yusuf Sermet1,3,4, Jerry Mount1

  • 1IIHR Hydroscience and Engineering, University of Iowa, Iowa City, IA 52246, USA.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|March 1, 2026
PubMed
Summary
This summary is machine-generated.

A new system, Artificial Intelligence Data Expert (AI-DE), uses natural language to analyze water quality data. This AI-DE tool makes complex environmental data accessible for better decision-making.

Keywords:
artificial intelligencelarge language modelsnatural language processingsensor networktime-series datawater quality

More Related Videos

A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life
12:15

A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life

Published on: January 9, 2017

8.9K
Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.7K

Related Experiment Videos

Last Updated: Mar 2, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K
A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life
12:15

A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life

Published on: January 9, 2017

8.9K
Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.7K

Area of Science:

  • Environmental Science
  • Artificial Intelligence
  • Data Science

Background:

  • Environmental monitoring generates vast amounts of data, but interpretation remains a challenge.
  • Bridging the gap between raw data and actionable insights is crucial for environmental management.

Purpose of the Study:

  • To introduce the Artificial Intelligence Data Expert (AI-DE), a system for natural language-based analysis of water quality time-series data.
  • To enable on-demand data interpretation and facilitate user engagement with environmental monitoring information.

Main Methods:

  • The AI-DE system utilizes ChatGPT features such as named entity recognition, geocoding, and sentiment analysis.
  • It incorporates chat controls for customized user interaction and a data interpretation mode for in-depth analysis.
  • A chat bypass feature allows for seamless data synchronization with existing information systems.

Main Results:

  • The AI-DE system provides immediate, ad-hoc querying and interpretation of environmental data.
  • It successfully translates complex water quality data into understandable insights for diverse user groups.
  • Enhanced user engagement with environmental data was observed.

Conclusions:

  • The AI-DE system significantly improves access to complex environmental data through conversational AI.
  • It supports informed decision-making and actions for effective environmental management.
  • This represents a significant advancement in utilizing AI for environmental data accessibility.