Results 141 to 150 of about 13,395 (249)

Blubber Thickening Driven by UCP1 Inactivation: Insights from a Cetacean‐Like Transgenic Mouse Model

open access: yesIntegrative Zoology, EarlyView.
UCP1 inactivation of cetaceans in mice drives BAT whitening and iWAT hyperplasia, promoting fat accumulation for aquatic adaptation. Abstract Cetaceans possess thick blubber, a specialized adipose tissue essential for thermal insulation, a streamlined body form, energy storage, and buoyancy. However, the mechanisms that underpin this adaptation are not
Qian Zhang   +5 more
wiley   +1 more source

Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM.

open access: yesSoft comput, 2021
Rauf HT   +4 more
europepmc   +1 more source

Solving patient referral problems by using bat algorithm. [PDF]

open access: yesTechnol Health Care, 2020
Yao HC   +5 more
europepmc   +1 more source

Effect of Social Rank on Gut Microbes and Their Metabolites of Greater Long‐Tailed Hamsters (Tscherskia triton)

open access: yesIntegrative Zoology, EarlyView.
Social rank in greater long‐tailed hamsters (Tscherskia triton) shapes gut microbiota composition and metabolite profiles. Dominant males exhibit a “high‐vigilance, metabolically activated” phenotype, with elevated aggression and specific gut microbiota enriched in energy‐harvesting taxa and fecal queuine.
Da Zhang, Xiaoming Xu, Zhibin Zhang
wiley   +1 more source

Gut Microbiota of Gray Snub‐Nosed Monkeys: Adaptation to Seasonal Variations Through Energy Compensation and Thermogenesis

open access: yesIntegrative Zoology, EarlyView.
Based on metagenome‐assembled genomes (MAGs), the gut microbiota of the gray snub‐nosed monkeys recovered 1229 non‐redundant MAGs. The gut microbiota showed an enhanced capacity to produce energy substrates with increased conversion activity of these substrates during winter.
Yue Sun   +17 more
wiley   +1 more source

BirdNET: Automated Detection for Monitoring Critically Endangered Lemurs from the Maromizaha Forest

open access: yesIntegrative Zoology, EarlyView.
In this study, we evaluated the effectiveness of integrating PAM with BirdNET, a convolutional neural network originally developed for avian vocalization detection, to monitor two critically endangered lemurs, Indri indri and Varecia variegata, in Madagascar's Maromizaha rainforest.
Valeria Ferrario   +10 more
wiley   +1 more source

ESO: An evolutionary algorithm for efficient model reduction via automated frequency band selection in passive acoustic monitoring

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Passive acoustic monitoring (PAM) is an important tool for wildlife monitoring. Deep learning, particularly convolutional neural networks (CNNs), has become the standard approach for developing bioacoustic classifiers. However, real‐time classification remains challenging due to the high computational complexity of these models and the need ...
Lorène Jeantet   +4 more
wiley   +1 more source

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