Premise: Environmentally controlled facilities, such as growth chambers, are essential tools for experimental research. Automated, low-cost, remote-monitoring hardware can greatly improve both reproducibility and maintenance.
Methods And Results: Using a Raspberry Pi computer, open-source software, environmental sensors, and a camera, we developed Growth Monitor pi (GMpi), a cost-effective system for monitoring growth chamber conditions. Coupled with our software, , our setup automates sensor readings, photography, and alerts when conditions fall out of range.
Conclusions: GMpi offers access to environmental data logging, improving reproducibility of experiments and reinforcing the stability of controlled environmental facilities. The device is also flexible and scalable, allowing researchers the ability to customize and expand GMpi for their own needs.
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http://dx.doi.org/10.1002/aps3.11280 | DOI Listing |
Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
View Article and Find Full Text PDFSci Rep
January 2025
School Geography & Environmental Sciences, Ulster University, Coleraine, UK.
High costs and project-based (short-term) financing mean that coastal engineering projects are often undertaken in the absence of appropriate post-construction monitoring programmes. Consequently, the performance of shoreline-stabilizing structures or beach nourishments cannot be properly quantified. Given the high value of beaches and the increase in erosion problems and coastal engineering responses, managers require as much accurate data as possible to support efficient decision-making.
View Article and Find Full Text PDFSmall
January 2025
Department of Chemistry and Life Science, Yokohama National University, Yokohama, 240-8501, Japan.
Hydrogen spillover, particularly when involving "interparticle" hydrogen spillover, offers a unique opportunity to enhance catalytic efficiency by remote activation of surface acidity. Building on this concept, this study aims to investigate physically mixed alumina-supported platinum nanoparticles (Pt/AlO) and zirconia-supported tungsten oxide (WO/ZrO) in promoting the direct synthesis of cumene from benzene and propane at 300 °C. The reaction with Pt/AlO alone afforded propylene as the only product, indicating the successive reaction route of Pt-catalyzed dehydrogenation of propane, followed by acid-catalyzed alkylation.
View Article and Find Full Text PDFBMJ Open Qual
January 2025
Program on Health Systems Development - Philippine Primary Care Studies, Center for Integrative and Development Studies, University of the Philippines Diliman, Quezon City, Philippines.
Background: This study aimed to determine the effects of primary care interventions on healthcare utilisation and estimated out-of-pocket (OOP) expenses in selected urban, rural and remote settings in the Philippines.
Methodology: Context-specific measures relating to expanding healthcare provider networks, augmenting the health human workforce and subsidising transportation costs were implemented to strengthen primary care systems. In this study, two key outcomes were monitored: (1) monthly healthcare utilisation measured by the total number of outpatient consultations per site and (2) change in OOP expenses from baseline to endline within a 1 year study period.
Digit Health
January 2025
Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
The application of artificial intelligence (AI) to healthcare in Africa has the potential to transform productivity, diagnosis, disease surveillance, and resource allocation by improving accuracy and efficiency. However, to fully realize its benefits, it is necessary to consider issues concerning data privacy, equity, infrastructure integration, and ethical policy development. The use of these tools may improve the detection of diseases, the distribution of resources, and the continuity of care.
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