Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

What is Variation?01:14

What is Variation?

18.4K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.4K
Variation01:19

Variation

8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.8K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.8K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

4.1K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.1K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.7K
Coefficient of Variation01:10

Coefficient of Variation

8.6K
The coefficient of variation measures the dispersion of the data points or distribution around the mean. Using the coefficient of variation, we can compare two data series with drastically different means or different units of measurement. The coefficient of variation for a sample and a population is expressed as a percentage of the ratio of standard deviation to the mean.
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
8.6K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Children in all policies: lessons from a global collaboration to promote the health and wellbeing of children and future generations.

Lancet (London, England)·2026
Same author

Feasibility and acceptability of a multi-level school-based intervention for adolescent mental health in Nepal: a mixed-methods study.

Child and adolescent psychiatry and mental health·2026
Same author

Cross-Cultural Validation of Manual and Automated Methods for Extracting Trauma Memory Features and Predicting PTSD in Young Populations.

Research on child and adolescent psychopathology·2026
Same author

Under the radar: a longitudinal exploration of mental health among children and adolescents experiencing parental and caregiver death during the COVID-19 pandemic in South Africa.

Child and adolescent mental health·2026
Same author

Prevalence of adverse childhood experience items: a systematic review and meta-analyses.

The Lancet. Public health·2026
Same author

What about the boys? Synergies for sexual and reproductive health and rights.

The Lancet. Child & adolescent health·2026

Video Experimental Relacionado

Updated: Jan 31, 2026

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

4.6K

Exploración de la variación en las prioridades de investigación generadas por herramientas de IA

John Garry1, Mark Tomlinson2,3, Maria Lohan3,4

  • 1Queen's University Belfast, Department of Politics and International Relations, Northern Ireland, UK.

Journal of global health
|January 30, 2026
PubMed
Resumen

Los modelos lingüísticos grandes (LLM) pueden ayudar a establecer prioridades en la investigación sanitaria. Los resultados de Gemini se alinean con otras herramientas de IA, mientras que DeepSeek y Perplexity ofrecen perspectivas distintas sobre salud pública y técnica, respectivamente.

Palabras clave:
inteligencia artificialinvestigación sanitariamodelos lingüísticos grandesprioridades de investigacióncomparación de herramientas de IA

Más Videos Relacionados

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

13.5K
Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach
13:57

Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach

Published on: May 23, 2025

1.3K

Videos de Experimentos Relacionados

Last Updated: Jan 31, 2026

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

4.6K
A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

13.5K
Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach
13:57

Laparoscopic Anatomical Liver Segment VII Resection with Liver Parenchymal Transection Following a Priority Approach

Published on: May 23, 2025

1.3K

Área de la Ciencia:

  • Investigación sanitaria
  • Inteligencia artificial
  • Informática médica

Sus antecedentes:

  • Los modelos lingüísticos grandes (LLM) se utilizan cada vez más en la investigación.
  • El papel de la IA en los ejercicios de establecimiento de prioridades de investigación relacionadas con la salud (RPSE) está emergiendo.
  • Las diferencias en las prioridades de investigación generadas por diversas herramientas de IA no se comprenden bien.

Objetivo del estudio:

  • Comparar las prioridades de investigación generadas por cinco herramientas de IA para cuatro enfermedades (cáncer, COVID-19, VIH, Alzheimer).
  • Evaluar la estabilidad de las diferencias entre los resultados de las herramientas de IA utilizando indicaciones idénticas y modificadas.

Principales métodos:

  • Análisis comparativo de los resultados de las herramientas de IA utilizando incrustaciones SBERT-BioBERT y similitud coseno.
  • Evaluación de cinco herramientas de IA: DeepSeek, ChatGPT, Claude, Perplexity y Gemini.
  • Evaluación de la estabilidad mediante la repetición de indicaciones y modificaciones.

Principales resultados:

  • Los resultados de Gemini fueron muy similares a los de otras herramientas de IA.
  • DeepSeek y Perplexity produjeron los resultados más distintos.
  • DeepSeek se centró en problemas médicos técnicos, mientras que Perplexity enfatizó las preocupaciones de salud pública, una distinción estable.

Conclusiones:

  • Gemini es adecuado para investigadores que prefieren un único modelo de IA para las prioridades de investigación en salud.
  • DeepSeek y Perplexity proporcionan información complementaria cuando se utilizan múltiples modelos de IA.