Process control consists of complex states of performance that require a significant amount of operator attention and skill to manage. Automation and smart alarms can enhance these processes. This study investigated the effects of alarm management and automation on process control operator workload (NASA-TLX) and performance via material lost through flaring outcomes. Eleven console qualified operators participated in a human-in-the-loop, high-fidelity simulation-based training exercise. Three levels of alarm management (no rationalization, rationalization, and state-based smart alarm) and two levels of automation (no automation and automation) conditions were implemented using six scenarios. A repeated measures two-way MANOVA indicated that both alarm management schema and automation significantly affected operator workload and performance. These results indicate that state-based smart alarm management and automation schemas may assist operators in reducing workload and material lost through flare release during abnormal operating conditions.
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http://dx.doi.org/10.1016/j.apergo.2021.103670 | DOI Listing |
BMC Med
January 2025
Department of Anaesthesiology, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.
Background: Patients at need for ventilation often are at risk of acute respiratory distress syndrome (ARDS). Although lung-protective ventilation strategies, including low driving pressure settings, are well known to improve outcomes, clinical practice often diverges from these strategies. A clinical decision support (CDS) system can improve adherence to current guidelines; moreover, the potential of a CDS to enhance adherence can possibly be further increased by combination with a nudge type intervention.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Syed Khurram Shehzad, Department of Medicine, Lahore Medical and Dental College, Lahore, Pakistan.
Objectives: To determine the frequency of undiagnosed hypertension among the diabetic patients with micro vascular complications.
Method: This is a descriptive case series conducted at Department of Medicine, Ghurki Trust Teaching Hospital, in this six month stud which enrolled 213 patients between 18-60 years from March 28, 2021 to September 28, 2021, having diabetes with microvascular complications. These patients were not previously diagnosed as hypertensives.
Infect Drug Resist
January 2025
Department of Critical Care Medicine, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Background: Rapid and accurate identification of causative organisms and prompt initiation of pathogen-targeted antibiotics are crucial for managing atypical pneumonia. The widespread application of targeted next-generation sequencing (t-NGS) in clinical practice demonstrates significant targeted advantages in rapid and accurate aetiological identification and antimicrobial resistance genes detection, particularly for difficult-to-culture, rare, or unexpected pathogens. An alarming surge of acquired macrolide resistance (MR) in (MP) presents a substantial challenge for the clinical selection of pathogen-targeted antibiotics worldwide, especially for fluoroquinolone-restricted pediatric patients with limited options available.
View Article and Find Full Text PDFTher Adv Infect Dis
January 2025
Department of Medical Microbiology, University of Ghana Medical School, P.O. Box KB 4236, Accra, Ghana.
Background: Lower respiratory tract infections (LRTIs) pose a significant threat to global health, causing more than 2 million deaths worldwide. This menace is intensified by the alarming increase in drug resistance, which limits the availability of effective antibiotics for bacterial respiratory infections. Consequently, there is an urgent demand for alternative therapeutic options.
View Article and Find Full Text PDFJ Sci Food Agric
January 2025
Center of Research and Innovation, Asia International University, Bukhara, Uzbekistan.
Background: Wheat-maize cropping systems in semi-arid regions are expected to be affected by climate change in the future, which is alarming for global food security, environmental sustainability and socioeconomic development. Therefore, management practices like optimized plant geometry and fertilization need to be explored to counter these expected threats. To do this, the APSIM model was calibrated using 5-year data (from 2017/2018 to 2022) regarding yield, biomass, plant height, emergence, anthesis and crop maturity of wheat and maize from farmer fields.
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