This study constructs an energy based model of thermal system for controlled temperature and humidity air conditioning system, and introduces the influence of the mass flow rate, heater and humidifier for proposed control criteria to achieve the controlled temperature and humidity of air conditioning system. Then, the reliability of proposed thermal system model is established by both MATLAB dynamic simulation and the literature validation. Finally, the PID control strategy is applied for controlling the air mass flow rate, humidifying capacity, and heating, capacity. The simulation results show that the temperature and humidity are stable at 541 sec, the disturbance of temperature is only 0.14 °C, 0006 kg(w)/kg(da) in steady-state error of humidity ratio, and the error rate is only 7.5%. The results prove that the proposed system is an effective controlled temperature and humidity of an air conditioning system.
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http://dx.doi.org/10.1155/2014/903032 | DOI Listing |
Int J Environ Health Res
January 2025
Health Sciences Institute, University for International Integration of the Afro-Brazilian Lusophony, Redenção, Ceará, Brazil.
Climate change poses a significant threat to human health. Long-term climate effects on childhood asthma hospitalizations depend on the population's geographic region. These effects in tropical drylands are not well understood.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Key Laboratory of National Forestry and Grassland Administration on Plant Ex Situ Conservation, Beijing Floriculture Engineering Technology Research Centre, Beijing Botanical Garden, Beijing, 100093, China.
Malania oleifera Chun et S.K. Lee is a woody oil tree species and is rich in nervonic acid, which is associated with brain development.
View Article and Find Full Text PDFLight Sci Appl
January 2025
National and Local United Engineering Laboratory of Flat Panel Display Technology, College of Physics and Information Engineering, Fuzhou University, 350108, Fuzhou, China.
Multifunctional materials have attracted tremendous attention in intelligent and interactive devices. However, achieving multi-dimensional sensing capabilities with the same perovskite quantum dot (PQD) material is still in its infancy, with some considering it currently challenging and even unattainable. Drawing inspiration from neurons, a novel multifunctional CsPbBr/PDMS nanosphere is devised to sense humidity, temperature, and pressure simultaneously with unique interactive responses.
View Article and Find Full Text PDFJ Infect
January 2025
School of Veterinary Medicine, University of Surrey, Daphne Jackson Rd, Guildford GU2 7AL, United Kingdom; The Surrey Institute for People-Centred Artificial Intelligence, Stag Hill University Campus, Guildford GU2 7XH, United Kingdom; Institute for Sustainability, University of Surrey, Guildford, United Kingdom; University of Exeter, Exeter, United Kingdom.
Objectives: This study aimed to improve the understanding of seasonal incidence pattern observed in salmonellosis by identifying the most influential weather factors, characterizing the nature of this association, and assessing whether it is geographically restricted or generalizable to other locations.
Methods: A novel statistical model was employed to estimate the incidence of salmonellosis conditional to various combinations of three simultaneous weather factors from 14 available. The analysis utilised daily salmonellosis cases reported from 2000 to 2016 along with detailed spatial and temporal weather data from England and Wales, and the Netherlands.
Environ Int
January 2025
Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. Electronic address:
Background: Existing environmental quality indices often fail to account for the varying health impacts of different exposures and exclude socio-economic status indicators (SES).
Objectives: To develop and validate a comprehensive Environmental Quality Health Index (EQHI) that integrates multiple environmental exposures and SES to assess mortality risks across Australia.
Methods: We combined all-cause, cardiovascular, and respiratory mortality data (2016-2019) from 2,180 Statistical Areas Level 2 with annual mean values of 12 environmental exposures, including PM, ozone, temperature, humidity, normalized difference vegetation index, night light, road and building density, and socioeconomic status.
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