Empirical evidence suggests the incentive value of an option is affected by other options available during choice and by options presented in the past.These contextual effects are hard to reconcile with classical theories and have inspired accounts where contextual influences play a crucial role.However, each account only addresses one or the other

In this paper we demonstrate the use of network analysis to characterise patterns of clustering in spatio-temporal events.Such clustering is of both theoretical and practical importance in the study of crime, and forms the basis for a number of preventative strategies.However, existing analytical methods show only that clustering is present in data

Hip arthroscopy is an important diagnostic and therapeutic tool in the management of synovial chondromatosis.Removal of osteochondral fragments (OCFs) from the central and peripheral compartments is crucial for the relief of mechanical symptoms and subsequent joint destruction.Direct access to the central compartment is often limited because of the

Wireless Body Area Networks (WBANs) have risen as a promising innovation for checking human physiological parameters in real time.Be that as it may, the unwavering quality and precision of WBANs depend on the right working of sensor hubs.The distinguishing proof of defective sensor hubs is vital for guaranteeing the quality of information collected

The objective of this work is to improve the existing Wireless Sensor Network coverage optimization method.The pigeon-inspired optimization algorithm was first evaluated, and its shortcomings were noted.The pigeon-inspired optimization method was then enhanced with the good point set, Yin-Yang optimization algorithm, and opposition-based learning.T