Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Gain

Gain

Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

Uncertainty in Measurement: Accuracy and Precision

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.

Weighted Mean

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

Confidence Intervals

Confidence Intervals

An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...

Calculating Standard Free Energy Changes

Calculating Standard Free Energy Changes

The free energy change for a reaction that occurs under the standard conditions of 1 bar pressure and at 298 K is called the standard free energy change. Since free energy is a state function, its value depends only on the conditions of the initial and final states of the system. A convenient and common approach to the calculation of free energy changes for physical and chemical reactions is by use of widely available compilations of standard state thermodynamic data. One method involves the...

You might also read

Related Articles

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

Sort by

Same author

Standardised reporting framework for nutrition and growth in preterm nutrition studies: the NutriGrow Delphi study.

Pediatric research·2026

Same author

Expert recommendations for preterm neonates' growth goals: Considerations for clinicians.

Seminars in perinatology·2026

Same author

Fatty acid profiles in blood and tissues of parenteral nutrition-fed neonatal piglets using a novel lipid emulsion containing choline.

JPEN. Journal of parenteral and enteral nutrition·2025

Same author

Early Enteral Nutrition and Clinical Outcomes in Critically Ill Pediatric Populations: A Systematic Review and Meta-Analysis.

Critical care medicine·2025

Same author

Maternal Undernutrition Exacerbates Effects of Ambient Heat During Pregnancy in Mice.

The Journal of nutrition·2025

Same author

Fenton Third-Generation Growth Charts of Preterm Infants Without Abnormal Fetal Growth: A Systematic Review and Meta-Analysis.

Paediatric and perinatal epidemiology·2025

Search research articles

Related Experiment Video

Updated: Feb 7, 2026

Transcutaneous Microcirculatory Imaging in Preterm Neonates

Transcutaneous Microcirculatory Imaging in Preterm Neonates

Published on: December 31, 2015

Time interval for preterm infant weight gain velocity calculation precision.

Tanis R Fenton^1,2, Thibault Senterre³, Ian J Griffin⁴

¹Department of Community Health Sciences, Institute of Public Health, Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Archives of Disease in Childhood. Fetal and Neonatal Edition

|July 13, 2018

Summary

This summary is machine-generated.

Calculating infant weight gain velocity helps guide neonatal nutrition and fluid management. Longer calculation periods (5-7+ days) offer more precise and less variable results than shorter ones.

Keywords:

growth infant feeding nutrition

More Related Videos

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs

Published on: October 31, 2025

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

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

Published on: January 12, 2018

Related Experiment Videos

Last Updated: Feb 7, 2026

Transcutaneous Microcirculatory Imaging in Preterm Neonates

Transcutaneous Microcirculatory Imaging in Preterm Neonates

Published on: December 31, 2015

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs

Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs

Published on: October 31, 2025

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

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

Published on: January 12, 2018

Area of Science:

Neonatal intensive care
Pediatric nutrition
Clinical biostatistics

Background:

Weight gain velocity is crucial for guiding nutrition and fluid management in neonatal intensive care units.
Accurate assessment of infant growth is essential for optimizing clinical outcomes.

Purpose of the Study:

To evaluate the precision and variability of weight gain velocity calculations over different time periods.
To determine the optimal duration for calculating weight gain velocity in neonates.

Main Methods:

Comparative analysis of weight gain velocity calculations.
Statistical assessment of variability and precision across various timeframes.

Main Results:

Weight gain velocity calculations over shorter periods exhibit higher responsiveness to management changes but lower precision.
Calculations spanning 5 to 7+ days demonstrate reduced variability and noise compared to shorter intervals.

Conclusions:

Longer-term weight gain velocity calculations (5-7+ days) provide more reliable data for neonatal nutrition and fluid management.
Utilizing longer calculation periods enhances the precision of growth assessment in the neonatal intensive care unit setting.