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

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

866
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
866
Transcription Elongation Factors02:35

Transcription Elongation Factors

13.5K
Transcription elongation is a dynamic process that alters depending upon the sequence heterogeneity of the DNA being transcribed. Hence, it is not surprising that the elongation complex's composition also varies along the way while transcribing a gene.
The transcription elongation is regulated via pausing of RNA polymerase on several occasions during transcription. In bacteria, these halts are necessary because the transcription of DNA into mRNA is coupled to the translation of that mRNA...
13.5K
Transcription Factors02:16

Transcription Factors

82.3K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
82.3K
Factors Affecting Solubility04:01

Factors Affecting Solubility

36.7K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Chȃtelier’s principle. Consider the dissolution of silver iodide:
36.7K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

400
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
400
Tonsillitis II: Management01:26

Tonsillitis II: Management

407
This lesson will focus on the different treatment options for managing tonsillitis, which typically depend on the cause and severity.
407

You might also read

Related Articles

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

Sort by
Same author

Mechanistic insights into iron cycling-driven nitrogen removal from biogas slurry via coupled iron-based denitrification and Feammox.

Environmental geochemistry and health·2026
Same author

[Effects of Enzyme Activities and Metabolomics of Wheat Rhizosphere Soil Under Biodegradable Microplastics].

Huan jing ke xue= Huanjing kexue·2026
Same author

Mechanistic Microbial Death Pathways Improve Regional Soil Carbon Simulations across Diverse Cropland Ecosystems.

Environmental science & technology·2026
Same author

Trichoderma-based fertilizer enhances quality of Elymus breviaristatus silage via microbial and metabolic modulation.

Communications biology·2026
Same author

Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Hump-Shaped Relationship Between Microbial Carbon Use-Efficiency and Soil Organic Carbon in Alpine Grasslands.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Related Experiment Video

Updated: Jan 20, 2026

A Standardized Procedure for Monitoring Harmful Algal Blooms in Chile by Metabarcoding Analysis
09:47

A Standardized Procedure for Monitoring Harmful Algal Blooms in Chile by Metabarcoding Analysis

Published on: August 26, 2021

6.0K

Multi-factor identification and modelling analyses for managing large river algal blooms.

Rui Xia1, Yuan Zhang1, Gangsheng Wang2

  • 1State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Laboratory of aquatic ecological conservation and restoration, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.

Environmental Pollution (Barking, Essex : 1987)
|August 28, 2019
PubMed
Summary

River algal blooms pose a growing global threat, impacting watershed ecosystems. Understanding their complex causes requires integrating hydrological, ecological, and environmental factors for effective prevention and control.

Keywords:
Cause analysisModelling researchMultifactor influenceRiver algal bloomWater project

More Related Videos

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.4K
A Small-Scale Setup for Algal Toxicity Testing of Nanomaterials and Other Difficult Substances
08:18

A Small-Scale Setup for Algal Toxicity Testing of Nanomaterials and Other Difficult Substances

Published on: October 10, 2020

6.1K

Related Experiment Videos

Last Updated: Jan 20, 2026

A Standardized Procedure for Monitoring Harmful Algal Blooms in Chile by Metabarcoding Analysis
09:47

A Standardized Procedure for Monitoring Harmful Algal Blooms in Chile by Metabarcoding Analysis

Published on: August 26, 2021

6.0K
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.4K
A Small-Scale Setup for Algal Toxicity Testing of Nanomaterials and Other Difficult Substances
08:18

A Small-Scale Setup for Algal Toxicity Testing of Nanomaterials and Other Difficult Substances

Published on: October 10, 2020

6.1K

Area of Science:

  • Environmental Science
  • Ecology
  • Hydrology

Background:

  • River algal blooms are an emerging global environmental issue with severe watershed-scale consequences.
  • Unlike in lakes, algal blooms in large rivers present unique challenges due to complex interactions.
  • Significant uncertainties exist regarding their characteristics, impacts, drivers, and modeling.

Purpose of the Study:

  • To review and define river algal blooms and their negative effects.
  • To analyze key factors influencing blooms, including nutrients, hydrology, and climate.
  • To explore the application of ecohydrological models and the interplay of physical and biogeochemical processes.

Main Methods:

  • Literature review of existing research on river algal blooms.
  • Analysis of nutrient, hydrological, and climatic factors.
  • Discussion of ecohydrological model applications in complex river systems.

Main Results:

  • River algal blooms have multifaceted causes involving nutrient loading, hydrological alterations, and climatic shifts.
  • Climate change and human activities significantly influence the physical and biogeochemical processes driving blooms.
  • Ecohydrological models are crucial for understanding bloom dynamics under varied conditions.

Conclusions:

  • Effective management of river algal blooms necessitates a holistic approach considering multiple interacting factors.
  • Model-data integration is vital for scientific guidance in preventing and controlling blooms in large river systems.
  • Further interdisciplinary research is needed to address uncertainties and improve predictive capabilities.