Results 141 to 150 of about 13,395 (249)
Blubber Thickening Driven by UCP1 Inactivation: Insights from a Cetacean‐Like Transgenic Mouse Model
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
Expansion planning of hybrid electrical and thermal systems using reconfiguration and adaptive bat algorithm. [PDF]
Abbasi AR, Zadehbagheri M.
europepmc +1 more source
Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM.
Rauf HT +4 more
europepmc +1 more source
Solving patient referral problems by using bat algorithm. [PDF]
Yao HC +5 more
europepmc +1 more source
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
Improved chaotic Bat algorithm for optimal coordinated tuning of power system stabilizers for multimachine power system. [PDF]
Tadj M +6 more
europepmc +1 more source
Sensor Node Activation Using Bat Algorithm for Connected Target Coverage in WSNs. [PDF]
Kim J, Yoo Y.
europepmc +1 more source
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
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
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

