Movie Popularity Classification based on Inherent Movie Attributes using C4.5,PART and Correlation Coefficient

Abundance of movie data across the internet makes it an obvious candidate for machine learning and knowledge discovery. But most researches are directed towards bi-polar classification of movie or generation of a movie recommendation system based on reviews given by viewers on various internet sites. Classification of movie popularity based solely on attributes of a movie i.e. actor, actress, director rating, language, country and budget etc. has been less highlighted due to large number of attributes that are associated with each movie and their differences in dimensions. In this paper, we propose classification scheme of pre-release movie popularity based on inherent attributes using C4.5 and PART classifier algorithm and define the relation between attributes of post release movies using correlation coefficient.Comment: 6 page

LESSONS FROM PSYCHIATRY IN THE ARAB WORLD A Lebanese Trainee Psychiatrist’s Qualitative Views on the Provision of Mental Healthcare Services for Palestinian Refugees in Lebanon and an Interview with a Consultant Psychiatrist on the Effects of the Arab Spring on the Mental Health of Libyans

In this manuscript, a Lebanese trainee psychiatrist qualitatively analyses and discusses the provision of mental healthcare services for Palestinian refugees in Lebanon. There are more than 250,000 Palestinian people sporadically dispersed in the refugee camps in Sidon, Beirut and other major cities in the Levant. Displacement, conflict, trauma, unemployment and poverty are but some of the myriad factors that influence Palestinian refugee mental health. This article traces the historical, political and socioeconomic determinants of health for Palestinians exiled in Lebanon and describes the pivotal role that the non-Govenmental Organisation Medical Aid for Palestinians is playing in helping to alleviate the psychiatric distress of Palestinian sufferers of mental illness. The latter half of the manuscript contains an interview with a consultant psychiatrist about his experiences volunteering in the war-torn lands of Libya post Arab Spring. He expounds on how he feels mental healthcare services in Libya are woefully inadequate and broaches on his perception of how the resilience and the ‘family-centric’ model of the Libyan people has conferred a certain degree of protection towards developing severe psychiatric illness

LESSONS FROM PSYCHIATRY IN THE ARAB WORLD A Lebanese Trainee Psychiatrist’s Qualitative Views on the Provision of Mental Healthcare Services for Palestinian Refugees in Lebanon and an Interview with a Consultant Psychiatrist on the Effects of the Arab Spring on the Mental Health of Libyans

In this manuscript, a Lebanese trainee psychiatrist qualitatively analyses and discusses the provision of mental healthcare services for Palestinian refugees in Lebanon. There are more than 250,000 Palestinian people sporadically dispersed in the refugee camps in Sidon, Beirut and other major cities in the Levant. Displacement, conflict, trauma, unemployment and poverty are but some of the myriad factors that influence Palestinian refugee mental health. This article traces the historical, political and socioeconomic determinants of health for Palestinians exiled in Lebanon and describes the pivotal role that the non-Govenmental Organisation Medical Aid for Palestinians is playing in helping to alleviate the psychiatric distress of Palestinian sufferers of mental illness. The latter half of the manuscript contains an interview with a consultant psychiatrist about his experiences volunteering in the war-torn lands of Libya post Arab Spring. He expounds on how he feels mental healthcare services in Libya are woefully inadequate and broaches on his perception of how the resilience and the ‘family-centric’ model of the Libyan people has conferred a certain degree of protection towards developing severe psychiatric illness

A Minimax Bias Estimator for OLS Variances under Heteroskedasticity

Analytic evaluation of heteroskedasticity consistent covariance matrix estimates (HCCME) is difficult because of the complexity of the formulae currently available. We obtain new analytic formulae for the bias of a class of estimators of the covariance matrix of OLS in a standard linear regression model. These formulae provide substantial insight into the properties and performance characteristics of these estimators. In particular, we find a new estimator which minimizes the maximum possible bias and improves substantially on the standard Eicker-White estimate