Department of Industrial Engineering and Management, Aalto University, Espoo, Finland.
Published: June 2020
AI Article Synopsis
Article Abstract
We study the perceived value derived from data sharing activities by the representatives of a Nordic pharmaceutical company in the introduction of the European Medicines Verification System (EMVS). The system is an end-to-end verification protocol that would potentially enable the pharmaceutical companies to access the sales-point data from within the system, while maintaining the control of their own data. The benefits of the system are most notably in developing data sharing with the wholesalers and end-customers. Development of data sharing practices might enable more transparent logistics, and more targeted services and products.
Sequence-function data provides valuable information about the protein functional landscape but is rarely obtained during directed evolution campaigns. Here, we present Long-read every variant Sequencing (LevSeq), a pipeline that combines a dual barcoding strategy with nanopore sequencing to rapidly generate sequence-function data for entire protein-coding genes. LevSeq integrates into existing protein engineering workflows and comes with open-source software for data analysis and visualization.
To manage risks and mitigate the transmission of infectious diseases, individuals often adopt strategies aimed at reducing interpersonal contact by implementing precautionary measures within their daily routines. These behavioral adjustments reduce the disease transmission rates. In this study, we present a novel mathematical model delineating diseases induced by carriers, incorporating multifaceted factors, such as psychological fear, media impact, and sanitation interventions.
Department of Surgery, Division of HBP Surgery, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Large language models, specifically ChatGPT, are revolutionizing clinical research by improving content creation and providing specific useful features. These technologies can transform clinical research, including data collection, analysis, interpretation, and results sharing. However, integrating these technologies into the academic writing workflow poses significant challenges.
Background: Threats to groundwater quality pose health risks to private well owners. Knowledge gaps are the main reason for low testing rates. Yet, few studies have examined the extent to which community-informed resource distribution increases knowledge and promotes private well testing.
