Arthropods utilize olfactory function to detect informational substances within their natural habitats, thereby facilitating essential life activities such as foraging, mating, and oviposition. Niemann-Pick protein type C2 (NPC2), a putative odorant carrier, has not been fully described in the olfactory perception of predatory mites. In this study, we characterized in detail the olfactory perception functions of NbNPC2-2 and NbNPC2-3 in the important predatory mite Neoseiulus barkeri.
View Article and Find Full Text PDFOlfaction plays a crucial role for arthropods in foraging, mating, and oviposition. The odorant-binding protein (OBP) gene is considered one of the most important olfactory genes. However, little is known about its functions in predatory mites.
View Article and Find Full Text PDFInt J Environ Res Public Health
September 2020
The time-varying data of air temperatures experienced by people in their daily lives is an important basis for studying human thermal sensation, adaptation, comfort, and health. It is also very important for designing targeted strategies to help people reduce uncomfortable experience. In this study, a small (98 mm × 49 mm × 25 mm), lightweight (~100 g), and portable temperature logger with a wide measurement range (-40 to 100 °C) and appropriate accuracy (±0.
View Article and Find Full Text PDFSolid fuels used for heating and cooking in rural households cause a large amount of pollutant emissions. Actions are being taken to replace these solid fuels with cleaner energy carriers. However, the pollutant emission amounts from solid fuels over large areas have rarely been evaluated.
View Article and Find Full Text PDFUlaanbaatar - the coldest capital in the world - is home to half of Mongolia's population, much of which uses coal for household heating, contributing to high wintertime air pollution. We piloted two-stage air-to-air heat pumps in 2017, when temperatures dropped to -39 °C. These heat pumps were reliable and efficient, with an average coefficient of performance of 1.
View Article and Find Full Text PDFScientificWorldJournal
February 2014
Based on the life cycle cost (LCC) approach, this paper presents an integral mathematical model and particle swarm optimization (PSO) algorithm for the heating system planning (HSP) problem. The proposed mathematical model minimizes the cost of heating system as the objective for a given life cycle time. For the particularity of HSP problem, the general particle swarm optimization algorithm was improved.
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