Results 121 to 130 of about 2,680,157 (305)

Asymptotic behavior of mixture failure rates [PDF]

open access: yes
Mixtures of increasing failure rate distributions (IFR) can decrease at least in some intervals of time. Usually this property is observed asymptotically as time tends to infinity , which is due to the fact that a mixture failure rate is ‘bent down’, as ...
Maxim S. Finkelstein, Veronica Esaulova
core  

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

open access: yesFEBS 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   +2 more
wiley   +1 more source

Study of Lavandula dentata, Salvia rosmarinus, and Cymbopogon citratus essential oils profile and antifungal activity of their mixture against the gray mold Botrytis cinerea

open access: yesFrontiers in Plant Science
In this study, we investigated the chemical profile essential oils (EOs) extracted from Cymbopogon citratus, Salvia rosmarinus, and Lavandula dentata, as well as their antifungal activity against Botrytis cinerea in vitro and in vivo.
Salahddine Chafiki   +11 more
doaj   +1 more source

Golgi enzymes are retrieved from the plasma membrane to the trans‐Golgi network

open access: yesFEBS Letters, EarlyView.
Golgi enzymes are traditionally considered resident proteins retained within the Golgi apparatus. Here, we demonstrate that a subset transiently reaches the cell surface and is subsequently retrieved to the trans‐Golgi network via retrograde transport. Using a nanobody‐based toolkit, we uncover a dynamic trafficking cycle of several Golgi enzymes.
Dominik P. Buser, Tina Junne
wiley   +1 more source

Asymmetric Multivariate Normal Mixture GARCH [PDF]

open access: yes
An asymmetric multivariate generalization of the recently proposed class of normal mixture GARCH models is developed. Issues of parametrization and estimation are discussed.
Markus Haas   +2 more
core  

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

open access: yesFEBS 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   +10 more
wiley   +1 more source

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

open access: yesFEBS 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   +5 more
wiley   +1 more source

Sample- and segment-size specific Model Selection in Mixture Regression Analysis [PDF]

open access: yes
As mixture regression models increasingly receive attention from both theory and practice, the question of selecting the correct number of segments gains urgency.
Sarstedt, Marko
core  

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

open access: yesFEBS 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   +2 more
wiley   +1 more source

Combined machine learning approaches to predict the thermal conductivity of liquid mixtures

open access: yesScience and Technology for Energy Transition
The application of Machine Learning (ML)-based techniques was explored to create a fully predictive framework for estimating the thermal conductivity of multi-component mixtures containing hydrocarbons and oxygenated compounds.
Le Trung T.   +5 more
doaj   +1 more source

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