Machine learning and artificial intelligence approaches have rapidly gained popularity for use in many subsurface energy applications.They are seen as novel methods that may enhance existing capabilities, providing for improved efficiency in exploration and production operations.Furthermore, their integration into reservoir management workflows may
Influenza virus exhibits two morphologies - spherical and filamentous.Strains that have been grown extensively in laboratory substrates are comprised predominantly of spherical virions while clinical or low passage isolates produce a mixture of spheres and filamentous virions of varying lengths.The filamentous morphology can be lost upon continued
Abstract Background Antimicrobial resistance is a leading global public health threat, with inappropriate use of antimicrobials in healthcare contributing to its development.Given this urgent need, we developed a complex ePrescribing-based Anti-Microbial Stewardship intervention (ePAMS+).Methods ePAMS+ includes educational and organisational behavi
This article is devoted to the evolution of personnel management models from their emergence to their use in practice.Making use of system and synergetic approaches, methods of analysis and synthesis, deduction and induction, historical, comparative and content analysis, it is found that the study of the Action Figure development of models allows t
Sentiment analysis is one of the most prominent sub-areas of research in Natural Language Processing (NLP), where it is important to consider implicit or explicit emotions conveyed by Bow Ties review material.Researchers also recognized that the generic feelings derived from the textual material are insufficient, so the sentiment analysis aspect ba