Topics in biological anthropology

Biological anthropology, also known as physical anthropology, is a scientific discipline concerned with the biological and behavioral aspects of human beings, their extinct hominin ancestors, and related non-human primates, particularly from an evolutionary perspective. This subfield of anthropology systematically studies human beings from a biological perspective. As a subfield of anthropology, biological anthropology itself is further divided into several branches. All branches are united in their common orientation and/or application of evolutionary theory to understanding human biology and behavior. Bioarchaeology is the study of past human cultures through examination of human remains recovered in an archaeological context. The examined human remains usually are limited to bones but may include preserved soft tissue. Researchers in bioarchaeology combine the skill sets of human osteology, paleopathology, and archaeology, and often consider the cultural and mortuary context of the remains. Evolutionary biology is the study of the evolutionary processes that produced the diversity of life on Earth, starting from a single common ancestor. These processes include natural selection, common descent, and speciation. Evolutionary psychology is the study of psychological structures from a modern evolutionary perspective. It seeks to identify which human psychological traits are evolved adaptations – that is, the functional products of natural selection or sexual selection in human evolution. Forensic anthropology is the application of the science of physical anthropology and human osteology in a legal setting, most often in criminal cases where the victim's remains are in the advanced stages of decomposition. Human behavioral ecology is the study of behavioral adaptations (foraging, reproduction, ontogeny) from the evolutionary and ecologic perspectives (see behavioral ecology). It focuses on human adaptive responses (physiological, developmental, genetic) to environmental stresses.

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Related exercises (32)

Moment of inertia of a sphere

xa0 Calculate the moment of inertia I_(z) of a sphere that is full and homogeneous with a mass M and with a radius R, around an axis (Oz) going through its centre of mass.

Make this calculation while noticing that by symmetry, for the three perpendicular axes (Ox), (Oy) et (Oz) we have I_(x)u2004=u2004I_(y)u2004=u2004I_(z).
Optional Redo this but starting from a volume element in spherical coordinates. Formulary : the primitive of sin³θ is $(\frac{1}{3}\cos^3\theta - \cos\theta)$ .

Rotating fluid

A cylindrical container with an ideal incompressible fluid in it rotates around its axis with an angular velocity ω₀. Determine the shape of the free surface of the liquid : (a): using a rotating referential; (b) using an inertial referential and the Euler equation. (a) For the rotating referential around the z axis, it is a problem of statics. The fluid is subject to its weight and to a inertial force, the centrifugal force

{\bf f}_{inertia} = \rho_0 \omega^2 r\, {\bf \hat{r}}

. The equilibrium condition

Lines of current of a flow

Determine the lines of current yu2004=u2004y(x) and the acceleration a⃗(x,y) for a stationary bidimensional flow described by the velocity field :

{\bf v} = (\frac{{v_0 }}{l})(x\vec e_x - y\vec e_y)~.

We have: v_(x)u2004=u2004(v₀/l)x and v_(y)u2004=u2004u2005−u2005(v₀/l)y. The lines of current yu2004=u2004y(x) are, in each point, tangential to the velocity vector, and thus verify the following equation:

y{\raise0.1ex\hbox{${v_0 }$} \,\!\mathord{\l

Center of mass for cone and half-sphere

Prove the expressions for the height of the center of mass of the cone, respectively the half-sphere, given in the previous problem’s hint. We will rigorously prove the calculation for the center of mass of the cone, respectively, the half-sphere, in the previous problem. The center of mass of a solid is given by

\vec{r}_G=\frac{1}{M}\int_{\rm volume}\vec{r}\rho(\vec{r})d^3\vec{r}.

In our case, the solids are homogeneous, therefore ρ(r⃗)u2004=u2004ρ. For both the cone and the half-sphere, the volume int

Potential energy of a homogeneous sphere

The electric field created by a homogeneous sphere of radius R, uniformly charged and of total charge Q is :

Related notebooks (4)

Modeling and Analysis of a PN-Junction in Inhomogeneous Semiconductors.

In [1]: import matplotlib.pyplot as plt import matplotlib.ticker as mtick import numpy as np import ipywidgets as widgets import scipy.integrate as integrate from ipywidgets import interact, fixed from scipy.interpolate import interp1d from textwrap import dedent from bokeh.io import push_notebook, show, output_notebook, output_file, curdoc from bokeh.plotting import figure from bokeh.layouts import column, row from bokeh.themes import built_in_themes from bokeh.models import Range1d, BasicTickFormatter, L

Illustrating Band Structures in Solids: Free Electrons and Atomic Orbitals

In [1]: import numpy as np from numpy import linalg as LA import matplotlib.pyplot as plt

from future import print_function

from ipywidgets import interact, interactive, fixed, interact_manual import ipywidgets as widgets %matplotlib widget The emergence of band structures[1]¶ If you have questions about this notebook, e-mail Oleg Malanyuk (oleg.malanyuk@epfl.ch) This jupyter notebook is intended to provide a illustration of the band structures in solides, starting from the points of v

Modeling Epidemics with Signal Processing Techniques

Epidemics and Signal Processing[1]¶

                                      [2]Paolo Prandoni, [3]LCAV, EPFL

In [1]: import matplotlib.pyplot as plt import numpy as np import scipy.signal as sp import seaborn as sns sns.set() In [2]: plt.rcParams["figure.figsize"] = (14,4) The basic reproduction number[4]¶ The propagation mechanism of an epidemic such as the one caused by SARS-CoV-2 virus can be roughly modeled, at least in its inital phase, as a process in which each infected individ

Implementing a Fractional Resampler using Local Lagrange Interpolation

FIR Resampling[1]¶

                                      [2]Paolo Prandoni, [3]LCAV, EPFL

In this notebook we will implement a simple fractional resampler that uses local Lagrange interpolation. The resampler can be used to perform any rational sampling rate change (but beware of aliasing when downsampling!) In [1]: import numpy as np import IPython from scipy.io import wavfile Local Lagrange interpolation[4]¶ To perform resampling we will need to compute subsample values and, in

Related exercises (32)

Moment of inertia of a sphere

xa0 Calculate the moment of inertia I_(z) of a sphere that is full and homogeneous with a mass M and with a radius R, around an axis (Oz) going through its centre of mass.

Make this calculation while noticing that by symmetry, for the three perpendicular axes (Ox), (Oy) et (Oz) we have I_(x)u2004=u2004I_(y)u2004=u2004I_(z).
Optional Redo this but starting from a volume element in spherical coordinates. Formulary : the primitive of sin³θ is $(\frac{1}{3}\cos^3\theta - \cos\theta)$ .

Rotating fluid

{\bf f}_{inertia} = \rho_0 \omega^2 r\, {\bf \hat{r}}

. The equilibrium condition

Lines of current of a flow

Determine the lines of current yu2004=u2004y(x) and the acceleration a⃗(x,y) for a stationary bidimensional flow described by the velocity field :

{\bf v} = (\frac{{v_0 }}{l})(x\vec e_x - y\vec e_y)~.

y{\raise0.1ex\hbox{${v_0 }$} \,\!\mathord{\l

Center of mass for cone and half-sphere

\vec{r}_G=\frac{1}{M}\int_{\rm volume}\vec{r}\rho(\vec{r})d^3\vec{r}.

In our case, the solids are homogeneous, therefore ρ(r⃗)u2004=u2004ρ. For both the cone and the half-sphere, the volume int

Potential energy of a homogeneous sphere

The electric field created by a homogeneous sphere of radius R, uniformly charged and of total charge Q is :

Topics in biological anthropology

Chat with Graph Search

from future import print_function

from future import print_function

Examining the relationship between ssVEP and psychophysical measures of contrast sensitivity, grating acuity, and orientation discrimination

Sub-Nanomolar Detection and Discrimination of Microcystin Congeners Using Aerolysin Nanopores

Blow up dynamics for the 3D energy-critical nonlinear Schrödinger equation