Nuclear magnetic resonance (NMR) is a spectroscopic method that can be applied to several areas. Currently, this technique is also being used as an experimental quantum simulator, where nuclear spins are employed as quantum ...

Visible light communication (VLC) has emerged as a potential candidate for next generation wireless communication systems. However, nonlinear characteristics of light emitting diode (LED), user-mobility, and DC-bias ...

This study aims to investigate whether the costs spent on corporate social responsibility (CSR) can be offset, and identify the inflection point when financial returns from CSR exceed the spending. By using Principal ...

Phishing has become an increasing concern and captured the attention of end-users as well as security experts. Despite decades of development and improvement, existing phishing detection techniques still suffer from the ...

Russian Federation, after decline of the Soviet Union in 1991, has changed on the level political, economic, socio-cultural and environmental aspects. These changes is possible to see for example in morpho-genetic structure ...

Za jeden z nejpodstatnějších iniciujících faktorů vývoje syndromu vyhoření je považováno působení chronického stresu. Studenti, kteří jsou vystaveni vysoké míře stresu a zároveň nedokáží využít vhodné strategie zvládání ...

The omnipresence of risk prevails in almost every aspect of human life. Individuals and societal factors are pivotal in the decision-making process to judge acceptability and tolerability of risk. Tolerability of risk (ToR) ...

Extant empirical studies have predominantly focused on the nexus between working capital management (WCM) and corporate profitability. While there is a dearth of literature on the nexus between WCM and a firm’s risk, the ...

Purpose: In Pakistan, medical professionals face multiple challenges comprising long, fixed working hours and workload overburdening, which leads to emotional fatigue. These con-flicts in work-life scenarios, brought about ...

This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search ...