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http://dx.doi.org/10.1353/nib.2016.0005 | DOI Listing |
Am J Physiol Endocrinol Metab
January 2025
Department of Physiology, CIMUS, University of Santiago de Compostela, Santiago de Compostela, 15782, Spain.
The established dogma about regulation of feeding is based on the interaction amongst hypothalamic orexigenic and anorexigenic neuropeptides. However, the molecular underpinnings of those interactions remain unclear. A recent article published in by first demonstrated that the transition between hunger and satiety depends on the regulation of 3',5'-cyclic adenosine monophosphate (cAMP) in the paraventricular nucleus of the hypothalamus (PVH) providing novel insights on the spatial and temporal basis by which neuropeptides act.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Science, Birzeit University, P.O. Box 14, Birzeit, West Bank, Palestine.
Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have demonstrated promising results in handling such tasks. However, their performance is highly dependent on optimal hyperparameter settings, whose fine-tuning is both labor-intensive and time-consuming.
View Article and Find Full Text PDFMicrosc Res Tech
December 2024
Department of Electronics and Communication Engineering, Raghu Engineering College (A), Dakamarri (V), Bhemunipatnam (M), Visakhapatnam (Dist), Visakhapatnam, Andhra Pradesh, India.
Brain tumor is a most dangerous disease and requires accurate diagnosis in a short period to ensure the best treatment. Traditional methods for brain tumor classification (BTC) are quite effective, even though usually resulting in clinical manual analysis, which takes more time and prone to errors. Initially, the input image is collected from Brain Tumor dataset.
View Article and Find Full Text PDFInterspecific competition can significantly impact marine ecosystems by affecting species distributions and abundances. Understanding how sympatric species utilize available food helps identify potential competition and its effects when resources are limited. Here, we applied a suite of analytical methods (diet analysis, stable isotopes, and biomass estimates) to identify potential competitive interactions among North Pacific pelagic predators.
View Article and Find Full Text PDFPLoS One
August 2024
School of Data Science and Artificial Intelligence, Jilin Engineering Normal University, Changchun, China.
The setting of parameter values will directly affect the performance of the neural network, and the manual parameter tuning speed is slow, and it is difficult to find the optimal combination of parameters. Based on this, this paper applies the improved Hunger Games search algorithm to find the optimal value of neural network parameters adaptively, and proposes an ATHGS-GoogleNet model. Firstly, adaptive weights and chaos mapping were integrated into the hunger search algorithm to construct a new algorithm, ATHGS.
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