Morphometrics (from Greek μορϕή morphe, "shape, form", and -μετρία metria, "measurement") or morphometry refers to the quantitative analysis of form, a concept that encompasses size and shape. Morphometric analyses are commonly performed on organisms, and are useful in analyzing their fossil record, the impact of mutations on shape, developmental changes in form, covariances between ecological factors and shape, as well for estimating quantitative-genetic parameters of shape. Morphometrics can be used to quantify a trait of evolutionary significance, and by detecting changes in the shape, deduce something of their ontogeny, function or evolutionary relationships. A major objective of morphometrics is to statistically test hypotheses about the factors that affect shape. "Morphometrics", in the broader sense, is also used to precisely locate certain areas of organs such as the brain, and in describing the shapes of other things. (Wikipedia).
Trigonometry 4 The Area of a Triangle
Various ways of using trigonometry to determine the area of a triangle.
From playlist Trigonometry
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
Trigonometric Functions: Angles of Any Magnitude (1 of 2: The unit circle)
More resources available at www.misterwootube.com
From playlist Trigonometry and Measure of Angles
Introduction to Geometer's Sketchpad: Measurements
This video demonstrates some of the measurement and calculation features of Geometer's Sketchpad.
From playlist Geometer's Sketchpad
Kathryn Hess (10/9/19): How to grow synthetic digital neurons
Title: How to grow synthetic digital neurons Abstract: The generation of digital morphologies that reproduce the anatomical and electrical characteristics of biological neurons is a vital step towards the reconstruction and simulation of physiologically realistic brain networks, as neuro
From playlist AATRN 2019
What are the Inverse Trigonometric functions and what do they mean?
👉 Learn how to evaluate inverse trigonometric functions. The inverse trigonometric functions are used to obtain theta, the angle which yielded the trigonometric function value. It is usually helpful to use the calculator to calculate the inverse trigonometric functions, especially for non-
From playlist Evaluate Inverse Trigonometric Functions
3D Trigonometry Example (1 of 2: Setting up the triangles)
More resources available at www.misterwootube.com
From playlist Trigonometry and Measure of Angles
Herbert Edelsbrunner: The intrinsic volumes of a space filling diagram and their derivatives
The morphological approach to modeling the free energy in molecular dynamics by Roth and Mecke suggests to write it as a linear combination of weighted versions of the four intrinsic volumes of a space filling diagram: the volume, the area, the total mean curvature, and the total Gaussian
From playlist Beyond TDA - Persistent functions and its applications in data sciences, 2021
Melanoma therapeutic strategies that select against resistance...- Sayan Murkherjee
Mathematical Methods in Cancer Evolution and Heterogeneity Workshop Title: Melanoma therapeutic strategies that select against resistance by exploiting MYC-driven evolutionary convergence Speaker: Sayan Murkherjee Affiliation: Duke University Date: June 2, 2017 For more videos, please v
From playlist Mathematical Methods in Cancer Evolution
Trigonometry - Vocabulary of trigonometric functions
In this video will cover some of the basic vocabulary that you'll hear when working with trigonometric functions. Specifically we'll cover what is trigonometry, angles, and defining the trigonometric functions as ratios of sides. You'll hear these terms again as we dig deeper into the st
From playlist Trigonometry
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
The dispersion of data by means of the standard deviation.
From playlist Medical Statistics
Sayan Mukherjee (9/4/2019): A fiber bundle theory for shapes
Title: A fiber bundle theory for shapes Abstract: We will present how fiber bundles can be used in probabilistic modeling. Applications in geometric morphometrics will be used as examples, this means we will model shapes and surfaces for evolutionary biology and biomedical applications. W
From playlist AATRN 2019
How do you describe a fossil specimen?
Invertebrate Paleontology and Paleobotany Lecture 02 Invertebrate Paleontology and Paleobotany is a graduate level course in paleontology at Utah State University, which covers the major groups of marine invertebrates, fossil plants, and the important techniques and tools used in the fiel
From playlist Utah State University: Invertebrate Paleontology and Paleobotany (CosmoLearning Geology)
Bringing AI into the Wild (Sponsored by SAS) - Mary Beth Ainsworth (SAS)
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
From playlist Artificial Intelligence Conference 2018 - New York, New York
Dr. Melanie Hopkins is assistant curator in the Division of Paleontology at the American Museum of Natural History. Dr. Hopkins is working to unlock the history of the evolution of animals over vast stretches of geologic time. For her, the key is trilobites—extinct arthropods that lived fo
From playlist Trilobites
(TUA2) Spatial signatures of Great Britain
Taken from 'Towards urban analytics 2.0' Lightning talk: Spatial signatures of Great Britain Speaker: Martin Fleischmann, University of Liverpool The spatial arrangement of the building blocks that make up cities matters to understand the rules directing their dynamics. We present the de
From playlist Towards urban analytics 2.0
Trigonometry 2 The Trigonometric Functions
Meet the 6 main trigonometric functions of right triangles and some of their identities.
From playlist Trigonometry
(TUA2) Generalized measures of local neighborhood context from multispectral satellite images
Taken from 'Towards urban analytics 2.0' Lightning talk: Generalized measures of local neighborhood context from multispectral satellite images Speaker: Alex Singleton, University of Liverpool This talk implements a new method of capturing measures of urban context from multispectral sat
From playlist Towards urban analytics 2.0