Gender discrimination in the law of divorce and succession among christians

The present work deals with the Gender discrimination in the law of divorce and succession among christians.Inquiries Into the personal laws bereft of the historical develcpment of the concerned communities will be extremely inadequate as they may not help the researcher to Identify the laws' real source.In this view, the origin and development of Christian law In india has not so far been adequately gone into. Keeping In view the Importance of such a study calling for an exploration of the origin and development of the Christian community and its branching out In india as a prelude to the inqury into the Christian laws, the history of the conmunity in india was examined and the present study IndIcates that christianity In india has a diverse origin in dIfferent parts of India.And this diversity has resulted in the development of different systems of personal law for different sects among them. At present Christians in India constitute a minority but their numerical strength is not negligible. Yet they have not been able to act as an Influential group either socially or politically.The social changes and developments that swept away the community of its feet have overturned the position and the liberals in the community inspired by the changes elsewhere could bring in some statute law to govern the arena traditionally held by the customs.The history of reception of canon law concepts In different parts of India throws some light on the differences In the personal laws applicable to Christians In India.

Automated synthesis of delay-reduced Reed-Muller universal logic module networks

This paper presents a new approach to implement Reed-Muller Universal Logic Module (RM-ULM) networks with reduced delay and hardware for synthesizing logic functions given in Reed-Muller (RM) form. Replication of single control line RM-ULM is used as the only design unit for defining any logic function. An algorithm is proposed that does exhaustive branching to reduce the number of levels and modules required to implement any logic function in RM form. This approach attains a reduction in delay, and power over other implementations of functions having large number of variables.

Health, Education and Employment in a Forward-Backward Dichotomy Based on Standard of Living Index for the Tribes in Kerala

The Paper unfolds the paradox that exists in the tribal community with respect to the development indicators and hence tries to cull out the difference in the standard of living of the tribes in a dichotomous framework, forward and backward. Four variables have been considered for ascertaining the standard of living and socio-economic conditions of the tribes. The data for the study is obtained from a primary survey in the three tribal predominant districts of Wayanad, Idukki and Palakkad. Wayanad was selected for studying six tribal communities (Paniya, Adiya, Kuruma, Kurichya, Urali and Kattunaika), Idukki for two communities (Malayarayan and Muthuvan) and Palakkad for one community (Irula). 500 samples from 9 prominent tribal communities of Kerala have been collected according to multistage proportionate random sample framework. The analysis highlights the disproportionate nature of socio-economic indicators within the tribes in Kerala owing to the failure of governmental schemes and assistances meant for their empowerment. The socio-economic variables, such as education, health, and livelihood have been augmented with SLI based on correlation analysis gives interesting inference for policy options as high educated tribal communities are positively correlated with high SLI and livelihood. Further, each of the SLI variable is decomposed using Correlation and Correspondence analysis for understanding the relative standing of the nine tribal sub communities in the three dimensional framework of high, medium and low SLI levels. Tribes with good education and employment (Malayarayan, Kuruma and Kurichya) have a better living standard and hence they can generally be termed as forward tribes whereas those with a low or poor education, employment and living standard indicators (Paniya, Adiya, Urali, Kattunaika, Muthuvans and Irula) are categorized as backward tribes