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Ambient noise can cause birds to adjust their songs to avoid masking. Most studies investigate responses to a single noise source (e.g., low-frequency traffic noise, or high-frequency insect noise). Here, we investigated the effects of both anthropogenic and insect noise on vocalizations of four common bird species in Hong Kong. Common Tailorbirds () and Eurasian Tree Sparrows () both sang at a higher frequency in urban areas compared to peri-urban areas. Red-whiskered Bulbuls () in urban areas shifted the only first note of their song upwards. Swinhoe's White-eye () vocalization changes were correlated with noise level, but did not differ between the peri-urban and urban populations. Insect noise caused the Eurasian Tree Sparrow to reduce both maximum, peak frequency, and overall bandwidth of vocalizations. Insect noise also led to a reduction in maximum frequency in Red-whiskered bulbuls. The presence of both urban noise and insect noise affected the sound of the Common Tailorbirds and Eurasian Tree Sparrows; in urban areas, they no longer increased their minimum song frequency when insect sounds were also present. These results highlight the complexity of the soundscape in urban areas. The presence of both high- and low-frequency ambient noise may make it difficult for urban birds to avoid signal masking while still maintaining their fitness in noisy cities.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528541 | PMC |
http://dx.doi.org/10.1093/beheco/arab058 | DOI Listing |
Data Brief
October 2025
Department of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, Dhaka 1216, Bangladesh.
The Rose (genus Rosa) has become a significant factor in the Bangladeshi flower industry, both in terms of exports and local consumption. However, rose farming in this country faces serious challenges due to diseases affecting its leaves, which weaken the plants and result in lower flower yields and financial losses for farmers. Rosa (genus Rosa) is one of the most attractive and commercially valuable flower genera.
View Article and Find Full Text PDFInsects
August 2025
China Agricultural University, Beijing 100083, China.
In the context of global food security and sustainable agricultural development, the efficient recognition and precise management of agricultural insect pests and their predators have become critical challenges in the domain of smart agriculture. To address the limitations of traditional models that overly rely on single-modal inputs and suffer from poor recognition stability under complex field conditions, a multimodal recognition framework has been proposed. This framework integrates RGB imagery, thermal infrared imaging, and environmental sensor data.
View Article and Find Full Text PDFInsects
August 2025
Koltzov Institute of Developmental Biology of the Russian Academy of Sciences, Vavilova 26, Moscow 119334, Russia.
Mosquitoes detect sound with their antennae, which transmit vibrations to mechanosensory neurons in Johnston's organ. However, their auditory system is exposed to low-frequency noise such as convective and thermal noise, as well as noise induced by flight, which could impair sensitivity. High-pass filters (HPFs) may mitigate this issue by suppressing low-frequency interference before it is transformed into neuronal signals.
View Article and Find Full Text PDFNature
August 2025
Electrical and Computer Engineering Department, University of California Los Angeles, Los Angeles, CA, USA.
Generative models cover various application areas, including image and video synthesis, natural language processing and molecular design, among many others. As digital generative models become larger, scalable inference in a fast and energy-efficient manner becomes a challenge. Here we present optical generative models inspired by diffusion models, where a shallow and fast digital encoder first maps random noise into phase patterns that serve as optical generative seeds for a desired data distribution; a jointly trained free-space-based reconfigurable decoder all-optically processes these generative seeds to create images never seen before following the target data distribution.
View Article and Find Full Text PDFSensors (Basel)
July 2025
Carl Hayden Bee Research Center, USDA-ARS, Tucson, AZ 85719, USA.
We explored the stationarity, trend, and seasonality of the hive weight and in-hive temperature of ten managed honey bee () colonies at a research apiary of the Carl Hayden Bee Research Center in Tucson, Arizona, USA. The hives were monitored with electronic scales and in-hive temperature sensors from June to October 2022. The weight and temperature were recorded every five minutes around the clock.
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