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

The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

55.6K
According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
55.6K
Water: A Bronsted-Lowry Acid and Base02:30

Water: A Bronsted-Lowry Acid and Base

58.0K
The reaction between a Brønsted-Lowry acid and water is called acid ionization. For example, when hydrogen fluoride dissolves in water and ionizes, protons are transferred from hydrogen fluoride molecules to water molecules, yielding hydronium ions and fluoride ions:
58.0K
Self-Help Support Groups01:28

Self-Help Support Groups

341
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
341
Decision Making01:20

Decision Making

943
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
943
Introduction to Special Senses01:26

Introduction to Special Senses

7.3K
Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
7.3K
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.8K

You might also read

Related Articles

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

Sort by
Same author

Exploring Molecular Dynamics and Structure Change of Dissolved Organic Nitrogen under Nitrate and Phosphate Pulses in a Cascade Upflow Biofiltration System.

Environmental science & technology·2026
Same author

Exploring seasonal lability and fate of dissolved organic nitrogen cycling in a field-scale water filtration system.

Water research·2026
Same author

Linking pattern shifts of dissolved organic nitrogen fractional removal with microbial species richness in a cascade upflow biofiltration process.

Water research·2024
Same author

Investigating removal mechanisms of long- and short-chain per- and polyfluoroalkyl substances using specialty adsorbents in a field-scale surface water filtration system.

Journal of hazardous materials·2024
Same author

Deciphering linkages between DON and the microbial community for nitrogen removal using two green sorption media in a surface water filtration system.

Chemosphere·2024
Same author

Simultaneous removal of nutrients and biological pollutants via specialty absorbents in a water filtration system for watershed remediation.

Environmental pollution (Barking, Essex : 1987)·2024

Related Experiment Video

Updated: Jan 26, 2026

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
06:16

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

Published on: April 25, 2019

8.0K

Developing a Model-based Drinking Water Decision Support System Featuring Remote Sensing and Fast Learning

Sanaz Imen1, Ni-Bin Chang1, Y Jeffery Yang2

  • 1Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816 USA.

IEEE Systems Journal
|April 9, 2019
PubMed
Summary

This study developed a decision support system (DSS) to help drinking water treatment plants adapt operations. The system uses remote sensing and modeling for early warnings on source water quality changes.

Keywords:
Data FusionDecision Support SystemsDrinking WaterForecasting ModelsMachine LearningRemote Sensing

More Related Videos

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
07:31

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice

Published on: January 7, 2019

8.5K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.8K

Related Experiment Videos

Last Updated: Jan 26, 2026

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing
06:16

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

Published on: April 25, 2019

8.0K
Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
07:31

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice

Published on: January 7, 2019

8.5K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.8K

Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Data Science

Background:

  • Drinking water treatment requires adaptive strategies to manage natural and anthropogenic water quality variations.
  • Integrated sensing, monitoring, and modeling technologies are crucial for providing early warnings to plant operators.

Purpose of the Study:

  • To review technical methods for water quality monitoring and develop a model-based decision support system (DSS).
  • To aid water treatment operations through source water impact analysis and provide spatiotemporal water quality insights.

Main Methods:

  • Literature review of technical methods for water quality management.
  • Development of a model-based DSS incorporating remote sensing and fast learning techniques.
  • Case study assessment at a water treatment plant in Las Vegas, USA.

Main Results:

  • The DSS provides visual depictions of spatiotemporal water quality variations in source water.
  • The system forecasts water quality trends one day ahead and nowcasts current intake water quality.
  • The DSS assists in assessing finished water quality against treatment objectives.

Conclusions:

  • The developed model-based DSS effectively supports drinking water treatment operations by analyzing source water impacts.
  • Remote sensing and fast learning techniques enable user-friendly application and accurate water quality forecasting.
  • The system enhances operational decision-making for maintaining drinking water quality standards.