Results 91 to 100 of about 2,336,734 (289)

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana, Cornelia Wiegand, Omid Omrani, Mario Fabri   +3 more
wiley   +1 more source

Trustworthy Modulation Recognition

Abstract AI is recognized as a powerful tool for addressing the complexities of 6G technology. However, trust in artificial intelligence (AI)’s decision-making processes must be established to ensure its successful and responsible integration.
Anouar Nechi, Christoph Herold, Mladen Berekovic   +2 more
openaire   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Convolutional Radio Modulation Recognition Networks [PDF]

, 2016
We study the adaptation of convolutional neural networks to the complex temporal radio signal domain. We compare the efficacy of radio modulation classification using naively learned features against using expert features which are widely used in the field today and we show significant performance improvements.
Timothy J. O'Shea, Johnathan Corgan, T. Charles Clancy   +2 more
openaire   +2 more sources

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Optimum Mode-Switching Assisted Adaptive Modulation

, 2001
Adaptive modulation techniques combat fading by employing a suitable modulation mode depending on the instantaneous channel conditions for improving the Bit Error Rate (BER) performance or the average through-put.
Choi, B.J., Hanzo, L.
core   +1 more source

Direct and external intensity modulation in OFDM RoF links [PDF]

, 2014
This article is available Open Access to view at: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7158985Radio-over-fiber (RoF) systems comprise light modulation and transmission of millimeter-wave signals over fiber links.
Cosmas, John P., Glover, Ian A., Lazaridis, Pavlos I., Zaharias D. Zaharis, Lazaridis, PI, Prasad, NR, Ian A. Glover, Khwandah, Sinan, Khwandah, SA, Zaharis, ZD, Zaharis, Zaharias D., Cosmas, JP, Glover, Ian, Prasad, Neeli R., John P. Cosmas, Cosmas, John, Glover, IA, Lazaridis, Pavlos, Sinan A. Khwandah, Neeli R. Prasad, Pavlos I. Lazaridis, Prasad, Neeli, Khwandah, Sinan A.   +22 more
core   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

A Comparative Performance Analyses of Training Algorithms Employed in Artificial Neural Networks Based Modulation Recognition Systems

Journal of New Results in Science, 2016
– The performances of learning algorithms employed in artificial neural networks (ANNs) have been analyzed for classifying baseband signals that are subjected to additive white Gaussian noise (AWGN) and frequency selective Rayleigh fading channel in this
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