The gross calorific value (GCV) or heating value of a sample of fuel is one of the important properties which defines the energy of the fuel. Many researchers have proposed empirical formulas for estimating GCV value of coal. There are some known methods like Bomb Calorimeter for determining the GCV in the laboratory. But these methods are cumbersome, costly and time consuming. In this paper, m...

Lateral habenula (LHb) neurons signal negative "reward-prediction errors" and inhibit midbrain dopamine (DA) neurons. Yet LHb neurons are largely glutamatergic, indicating that this inhibition may occur through an intermediate structure. Recent studies in rats have suggested a candidate for this role, the GABAergic rostromedial tegmental nucleus (RMTg), but this neural pathway has not yet been ...

Breast cancer is one of the most common forms of cancer in women. In order to reduce the death rate , early detection of cancerous regions in mammogram images is needed. The existing system is not so accurate and it is time consuming. The Proposed system is mainly used for automatic segmentation of the mammogram images and classifies them as benign, malignant or normal based on the decision tre...

This work presents the dynamic graph cut based Otsu's method to segment the masses in mammogram images. Major concern that threatens human life is cancer. Breast cancer is the most common type of disease among women in India and abroad. Breast cancer increases the mortality rate in India especially in women since it is considered to be the second largest form of disease which leads to death. Ma...

The use of blasting cost (BC) prediction to achieve optimal fragmentation is necessary in order to control the adverse consequences of blasting such as fly rock, ground vibration, and air blast in open-pit mines. In this research work, BC is predicted through collecting 146 blasting data from six limestone mines in Iran using the artificial neural networks (ANNs), gene expression programming (G...

OBJECTIVES The objective was to develop and validate a risk model for the likelihood of extensive white matter lesions (extWML) to inform clinicians on whether to proceed with or forgo diagnostic MRI. DESIGN Population-based cohort study and multivariable prediction model. SETTING Two representative samples from France. PARTICIPANTS Persons aged 60-80 years without dementia or stroke. Der...

-trivial process. To this end, we explore the of higher secondary students in India, based on values of socio

 Abstract Background: Clinical Risk Index of Babies (CRIB), Score for Neonatal Acute Physiology (SNAP), an update of the Clinical Risk Index for Babies score (CRIB II) and Score for Neonatal Acute Physiology - Perinatal Extension (SNAP-PE) are scoring devices developed in neonatal intensive care units. This study reviewed these scoring systems in critically ill neonates to determine how well th...

objective: to determine the diagnostic value of serum white blood cell (wbc) count, fever (>38˚c) and wbc rise (>10%) for bacterial meningitis in patients with severe traumatic brain injury (tbi). m et h o d : this cross-sectional study was conducted in shahid rajaei hospital affiliated with shiraz university of medical sciences during a 1-year period from 2013 to 2014. we included consecutivel...