Elephants and polity in ancient India as exemplified by Kautilya's Arthasastra (Science of Polity)

After providing some background on the domestication and use of elephants in ancient India, this article concentrates on the role of the elephant in Indian statescraft as outlined in Kautilya’s Arthasastra, reputed to have been written in the fourth century BC (over 2300 years ago). The body of this essay is presented as follows: first background on the nature of Kautilya’s Arthasastra is provided and then his advice is outlined and discussed about the care of elephants. This care involves the duty of the King, the duties of the superintendent of elephants and the law relating to the treatment of elephants. Subsequently, Kautilya’s views about the use of elephants in war are considered. The essay concludes with an overall assessment of the role of the elephant in the polity of ancient India as portrayed by Kautilya. It is argued that the high use value of elephants to ancient Indian rulers, especially in war, had a significant positive impact on the conservation of Asian wild elephants, and incidentally other wildlife in India as well. Today, the conservation of the Asian elephant depends mostly on its use for tourism and its non-use economic values which reflect human empathy with it and which are reinforced in India by social and cultural values.

A comparison between three and five factor models of Pakistani personality data

The Eysenck Personality Questionnaire-Revised (EPQ-R), the Eysenck Personality Profiler Short Version (EPP-S), and the Big Five Inventory (BFI-V4a) were administered to 135 postgraduate students of business in Pakistan. Whilst Extraversion and Neuroticism scales from the three questionnaires were highly correlated, it was found that Agreeableness was most highly correlated with Psychoticism in the EPQ-R and Conscientiousness was most highly correlated with Psychoticism in the EPP-S. Principal component analyses with varimax rotation were carried out. The analyses generally suggested that the five factor model rather than the three-factor model was more robust and better for interpretation of all the higher order scales of the EPQ-R, EPP-S, and BFI-V4a in the Pakistani data. Results show that the superiority of the five factor solution results from the inclusion of a broader variety of personality scales in the input data, whereas Eysenck's three factor solution seems to be best when a less complete but possibly more important set of variables are input. (C) 2001 Elsevier Science Ltd. All rights reserved.

Step size control for efficient discrete element simulation

The step size determines the accuracy of a discrete element simulation. The position and velocity updating calculation uses a pre-calculated table and hence the control of step size can not use the integration formulas for step size control. A step size control scheme for use with the table driven velocity and position calculation uses the difference between the calculation result from one big step and that from two small steps. This variable time step size method chooses the suitable time step size for each particle at each step automatically according to the conditions. Simulation using fixed time step method is compared with that of using variable time step method. The difference in computation time for the same accuracy using a variable step size (compared to the fixed step) depends on the particular problem. For a simple test case the times are roughly similar. However, the variable step size gives the required accuracy on the first run. A fixed step size may require several runs to check the simulation accuracy or a conservative step size that results in longer run times. (C) 2001 Elsevier Science Ltd. All rights reserved.

Treatment of lupus nephritis: art or science? [Editorial]

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