THE IMPACT OF UNIVERSITY INTERNAL FACTORS ON ACADEMIC ENTREPRENEURSHIP: EVIDENCE FROM UNIVERSITY RESEARCH

Academic entrepreneurship, as a practice and a field forscholarly investigation, provides an opportunity to challengequestions and rethink about the nature and scope of publication. This paper puts forward an aspect for the research universities of Pakistan that can result in new value generation and job creation. Academic entrepreneur is missing forms of entrepreneurship in the relatively higher priority given to promoting or capturing economic value. Current research aims to fill this gap by adapting the corporate entrepreneur as a construct for academic entrepreneurship and internalenvironment as a motivational factor in order to propose a model for this study. Findings support that university reward system; support, leadership, and organization structure are the key indicator of academic entrepreneur within these research universities. Results provide evidence that academic entrepreneurship has a positive influence on research commercialization and technology transfer for these higher education institutes

Sex Determination Using Hand Morphometric Parameters in Individuals from Pakistani Descent

Objective: To identify the presence or absence of sexual dimorphism using hand measurements alone in people from Pakistan. Moreover, to identify the variable that can be better at predicting sex among the rest of hand measurements. Methods: The research involved 122 male and 182 female participants, ranging in age from 18 to 60 years, without any hand deformities or missing fingers. Each participant underwent a set of hand measurements, including hand breadth, which was measured in a linear line from the lateral-most end on the head of the second metacarpal to the medial end on the head of the fifth metacarpal in centimeters. Additionally, hand length measured to be as the direct distance from the midpoint of the distal wrist crease to the top most point of the middle finger in centimeters. Logistic regression was used to analyze six hand measurements on the likelihood of prediction of the male or female gender Results: The logistic regression model showed statistical significance, ÷2 = 19.502, p < .012. The model explained 58.0% (Nagelkerke R2) of the variance in gender and accurately identified 84.2% of cases. A statistically substantial disparity was evident in hand measurements and hand indices across genders. (P-value=.0001). Conclusion: Our study reveals the presence of sexual dimorphism in hand morphometric parameters among the population of Pakistan. Hand measurements prove to be a reliable indicator for predicting gender in the majority of cases. Nevertheless, relying on a single hand measurement may not yield accurate gender predictions. Instead, a combination of various hand measurements can enhance the overall reliability of gender prediction