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Portable UV-C device to treat high flow of infectious aerosols generated during clinical respiratory care.
Sci Rep
December 2024
Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Respiratory interventions including noninvasive ventilation, continuous positive airway pressure and high-flow nasal oxygen generated infectious aerosols may increase risk of airborne disease (SARS-CoV-2, influenza virus) transmission to healthcare workers. We developed and tested a prototype portable UV-C device to sterilize high flows of viral-contaminated air from a simulated patient source at airflow rates of up to 100 l/m. Our device consisted of a central quartz tube surrounded 6 high-output UV-C lamps, within a larger cylinder allowing recirculation past the UV-C lamps a second time before exiting the device.
View Article and Find Full Text PDFApplication of four pricing models for orphan medicines: a case study for lumasiran.
Orphanet J Rare Dis
December 2024
Medicine for Society, Platform at Amsterdam University Medical Center - University of Amsterdam, Amsterdam, The Netherlands.
Background: The combination of high prices and uncertain effectiveness is a growing challenge in the field of orphan medicines, hampering health technology assessments. Hence, new methods for establishing price benchmarks might be necessary to support reimbursement negotiations. In this study, we applied several pricing models containing cost-based elements to the case of lumasiran for treating primary hyperoxaluria type 1.
View Article and Find Full Text PDFIntelligent management and legal regulation of enterprise green supply chain by fuzzy comprehensive evaluation.
Heliyon
December 2024
School of Law, Liaoning Normal University, Dalian, 116083, China.
This study aims to evaluate the risk levels of intelligent management in Green Supply Chain Management (GSCM) through the application of the Fuzzy Comprehensive Evaluation (FCE) model. It begins by outlining the structure of the green supply chain (GSC), encompassing various components such as suppliers, manufacturers, and distributors, while incorporating considerations of environmental and sustainability factors. Data is collected from Company Y through a questionnaire survey, and the FCE model is employed to assess the risk levels of intelligent management within GSCM.
View Article and Find Full Text PDFA transformer-based framework for enterprise sales forecasting.
PeerJ Comput Sci
November 2024
School of Accounting, Tianjin University of Commerce, Tianjin, China.
Sales forecasting plays an important role in business operations as it impacts decisions on inventory management, allocation of resources, and financial planning. Accurate sales predictions are essential for optimizing cash flow management, adapting marketing and sales strategies, and facilitating strategic planning. This study presents a computational framework for predicting business sales using transformers, which are considered one of the most powerful deep learning architectures.
View Article and Find Full Text PDFExtracellular vesicles containing SARS-CoV-2 proteins are associated with multi-organ dysfunction and worse outcomes in patients with severe COVID-19.
J Extracell Vesicles
November 2024
Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Article Synopsis
- SARS-CoV-2, responsible for COVID-19, has caused over 7 million deaths worldwide since its emergence, leading to trials of treatments like the anti-IL6 inhibitor tocilizumab, which failed to significantly improve survival rates.
- Researchers isolated extracellular vesicles (EVs) from 39 severe COVID-19 patients to explore their potential as biomarkers, finding that specific viral proteins (spike and nucleocapsid) were dynamic in expression during treatment and recovery.
- The study suggests that the changing levels of EV viral proteins could correlate with clinical outcomes, indicating that EVs might help identify long COVID and other complications in patients with severe cases.
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