4,143 research outputs found
A critical review of fundamental principles of Ayurveda
The fundamental principle holds a strong ground in Ayurveda. Every medical stream
has its own science in which its matter is developed, evolved and explained. From creation of
living to issues of health, disease and its treatment these fundamental principles are the root.
These can be enumerated as Tridosha, Panchamahabhuta, Prakriti, Ojas, Dhatu, Mala, Agni,
Manas, Atma etc. They are most unique and original approach to the material creation and it
has all scope to incorporate the modern development in the elemental physics. The aim of
Ayurveda is to maintain the proper equilibrium of dosa, dhatus, and mala constituent in order
to preserve health in a healthy person and cure a disease in a diseased person.The presence of
cognition as well as the absence of cognition is an indication of the mind. In the presence of
senses with senses object and soul the man does not perceive a thing in the absence of mind
that is to say that senses are unable to grasp the object in the absence of Manas. The term
Ojas has been used in Ayurveda for the factor which prevents decay and degeneratioif the body and provides strength and support against a disease. Concept of Agni which incorporates all activities and factors responsible for digestion and metabolism in the living organism as known today, knowledge to these fundamental principles is a key to health and diseases .Maintenances of health depend on good and sound knowledge of these. Detail will be given in full paper.
Keywords: Ayurveda, health, dosa, Agni, min
Covariate conscious approach for Gait recognition based upon Zernike moment invariants
Gait recognition i.e. identification of an individual from his/her walking
pattern is an emerging field. While existing gait recognition techniques
perform satisfactorily in normal walking conditions, there performance tend to
suffer drastically with variations in clothing and carrying conditions. In this
work, we propose a novel covariate cognizant framework to deal with the
presence of such covariates. We describe gait motion by forming a single 2D
spatio-temporal template from video sequence, called Average Energy Silhouette
image (AESI). Zernike moment invariants (ZMIs) are then computed to screen the
parts of AESI infected with covariates. Following this, features are extracted
from Spatial Distribution of Oriented Gradients (SDOGs) and novel Mean of
Directional Pixels (MDPs) methods. The obtained features are fused together to
form the final well-endowed feature set. Experimental evaluation of the
proposed framework on three publicly available datasets i.e. CASIA dataset B,
OU-ISIR Treadmill dataset B and USF Human-ID challenge dataset with recently
published gait recognition approaches, prove its superior performance.Comment: 11 page
Elliptic flow of thermal photons and formation time of quark gluon plasma at RHIC
We calculate the elliptic flow of thermal photons from Au+Au collisions at
RHIC energies for a range of values for the formation time but fixed
entropy (or particle rapidity density). The results are found to be quite
sensitive to . The for photons decreases as decreases
and admits a larger contribution from the QGP phase which has a smaller .
The elliptic flow coefficient for hadrons, on the other hand, is only
marginally dependent on .Comment: 2 extra figures and discussion added. To appear in Physical Review C
(Rapid Communication
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