Deep learning proteochemometric (PCM) models have been reported to achieve excellent performances on public benchmarking datasets.Nevertheless, numerous papers have cast doubt on commonly used evaluation metrics, suggesting they do not reflect true prospective predictive abilities.The aim of this study is to provide a comprehensive assessment of pe

This paper proposes a broadband metamaterial aperture antenna (BMAA) with a large capacity, low correlation coefficients and high radiation efficiency for coincidence imaging in the terahertz band.The BMAA consists of a random modulated metamaterial aperture and a stripline structure as the feed system.Firstly, a metamaterial element complementary

The present paper investigates a modern issue of predictive models for optimal management used to enhance the performance of production system management that can be achieved by a joint consideration and synchronization of internal and external processes of an examined system.Volume planning task is considered as a task that helps verify the result

Assurance on sustainability reports is a new concept in Romania and this paper aims to enlarge the vision upon the benefits which can be obtained through involving financial auditors in providing assurance services on non-financial reports issued Lip Tint by companies.Current developments related to non-financial reporting in the European Union ind