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Impacts of environmental parameters on sick building syndrome prevalence among residents: a walk-through survey in Rasht, Iran.
Arch Public Health
December 2024
Department of Environmental Sciences, Faculty of Natural Resources, University of Guilan, Someh Sara, Guilan, Iran.
Background: This study evaluated the prevalence of sick building syndrome (SBS) in Rasht, Iran, a subtropical climate with wetter cold season city, during the autumn and winter months of 2020, focusing on the effects of noise and ventilation.
Methods: A total of 420 residents completed the indoor air climate questionnaire (MM040EA), and a walk-through survey of 45 randomly selected residential units assessed environmental noise, ventilation rate, and luminous conditions.
Results: Approximately 38.
Experimental study on ultrasonic reduction of irreducible water saturation in low permeability reservoir.
Sci Rep
December 2024
Puyang Key Laboratory of Sound Field Assisted Oil and Gas Development, Puyang, 457000, China.
Irreducible water saturation is an important factor affecting the development effect of low permeability reservoir. Using the self-developed ultrasonic generator, kerosene was used as simulated oil, the natural low-permeability siltstone cores with different physical properties in Zhongyuan Oilfield were selected for indoor oil displacement experiment, and the effect of ultrasonic action on the saturation of irreducible water in low-permeability reservoirs was evaluated. It was found that ultrasound can further reduce the saturation of irreducible water on the basis of oil flooding.
View Article and Find Full Text PDFA new prediction model based on deep learning for pig house environment.
Sci Rep
December 2024
School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar, 161006, China.
A prediction model of the pig house environment based on Bayesian optimization (BO), squeeze and excitation block (SE), convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed to improve the prediction accuracy and animal welfare and take control measures in advance. To ensure the optimal model configuration, the model uses a BO algorithm to fine-tune hyper-parameters, such as the number of GRUs, initial learning rate and L2 normal form regularization factor. The environmental data are fed into the SE-CNN block, which extracts the local features of the data through convolutional operations.
View Article and Find Full Text PDFAbundance and Distribution of (Diptera: Psychodidae) Across Various Habitat Types in Endemic Foci of Cutaneous Leishmaniasis in the Mid-Highlands of Wolaita Zone, Southern Ethiopia.
Trop Med Infect Dis
December 2024
Evolutionary Ecology Group, Department of Biology, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, Wilrijk, 2610 Antwerp, Belgium.
is a vector of , the causative agent of cutaneous leishmaniasis. This study assessed the abundance and distribution of in different habitats and human houses situated at varying distances from hyrax (reservoir host) dwellings, in Wolaita Zone, southern Ethiopia. Sandflies were collected from January 2020 to December 2021 using CDC light traps, sticky paper traps, and locally made emergence traps.
View Article and Find Full Text PDFAbiotic Factors Modulating Metabolite Composition in Brown Algae (Phaeophyceae): Ecological Impacts and Opportunities for Bioprospecting of Bioactive Compounds.
Mar Drugs
December 2024
Laboratory of Natural Products from Seaweeds (ALGAMAR), Department of Marine Biology, Institute of Biology, Federal Fluminense University, Niterói 24210-201, RJ, Brazil.
Brown algae are vital structural elements and contributors to biodiversity in marine ecosystems. These organisms adapt to various environmental challenges by producing primary and secondary metabolites crucial for their survival, defense, and resilience. Besides their ecological role, these diverse metabolites have potential for biotechnological applications in industries including pharmaceuticals, cosmetics, and food.
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