Remarks on “Tinospora cordifolia: One plant, many roles”
Sir, We read an article entitled “Tinospora cordifolia: One plant, many roles,” with great interest and would like to place few remarks on this.[1] The article is aptly written, informative and seems to be a product of a sincere effort of the researcher. The authors have aimed at encompassing the genetic diversity of the plant and they were also able to present the scarcity of reports on conservation strategies, propagation of the germplasm, morphological and physiological characters, and other characteristics of the plant. Unfortunately however, nothing has been discussed much about genetic diversity with special reference to Tinospora. Authors could have compiled reported studies on male and female varieties of Tinospora.[2,3]
Antipyretic activity of Guduchi Ghrita formulations in albino rats
The present pharmacological investigation was undertaken to study the anti-pyretic activity of Guduchi ghrita formulations in albino rats against yeast induced pyrexia. Seven groups of six animals were used for the experiment. The yeast induced pyrexia method was standardized first by injecting 12.5% yeast suspension (s.c) followed by recording the rectal temperature at regular intervals. Then the evaluation of anti-pyretic activity of Guduchi ghrita formulations was carried out by using this standard procedure. Both the Guduchi ghrita samples including vehicle significantly attenuated the raise in temperature after three hours of yeast injection. After 6 and 9 hours of yeast injection also both the Guduchi ghrita samples attenuated the raise in temperature in a highly significant manner in comparison to both yeast control and vehicle control groups. The data generated during study shows that both the Guduchi ghrita formulations having significant anti-pyretic activity.
Color image based sorter for separating red and white wheat
A simple imaging system was developed to inspect and sort wheat samples and other grains at moderate feed-rates (30 kernels/s or 3.5 kg wheat/h). A single camera captured color images of three sides of each kernel by using mirrors, and the images were processed using a personal computer (PC). Real time image acquisition and processing was enabled on an ordinary PC under Windows XP operating system using the IEEE 1394 data transfer protocol, DirectX application software, and dual-core computer processor. Image acquisition and transfer to the PC required approximately 17 ms per kernel, and an additional 1.5 ms was required for image processing. After classification, the computer could output a signal from the parallel port to activate an air valve to divert (sort) kernels into a secondary container. Hard red and hard white wheat kernels were used in this study to test and demonstrate sorter capability. Simple image statistics and histograms were used as features. Discriminant analysis was performed with one, two, or three features to demonstrate classification improvements with increased numbers of features. The sorter was able to separate hard red kernels from hard white kernels with 95 to 99% accuracy, depending on the wheat varieties, feed-rate, and number of classification features. The system is an economical and useful instrument for sorting wheat and other grains with high accuracy.