Results 151 to 160 of about 731,480 (301)

Cell Cycle Control of Nuclear Metabolism Couples Phosphatidylinositol Signaling to Histone Methylation

open access: yesAdvanced Science, EarlyView.
Nuclear metabolism oscillates during cell cycle progression. Quantitative chromatome proteomics and imaging reveal phase‐specific dynamics of PIP5K1A and nuclear PIP2, linking phosphatidylinositol metabolism to histone methylation. This work identifies nuclear lipid metabolism as a previously unrecognized regulatory axis coordinating chromatin ...
Antoni Gañez‐Zapater   +13 more
wiley   +1 more source

Bayesian Bridge Gaussian Process Regression

open access: yes
The performance of Gaussian Process (GP) regression is often hampered by the curse of dimensionality, which inflates computational cost and reduces predictive power in high-dimensional problems. Variable selection is thus crucial for building efficient and accurate GP models.
Xu, Minshen, Lan, Shiwei, Kang, Lulu
openaire   +2 more sources

Cellular Snowballing: Cell Adhesion and Migration Drive the Self‐Assembly of Cell‐Microgel Biohybrid Spheroids

open access: yesAdvanced Science, EarlyView.
A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie   +7 more
wiley   +1 more source

Polka-dotted Stars. II. Starspots and Obliquities of Kepler-17 and Kepler-63

open access: yesThe Astrophysical Journal
Starspots trace stellar magnetic activity and affect both stellar evolution and exoplanet characterization. While occultation-based spot studies have been applied to individual systems, comparative analyses remain limited.
Sabina Sagynbayeva, Will M. Farr
doaj   +1 more source

Learning Robot Dynamics for Computed Torque Control Using Local Gaussian Processes Regression

open access: yes2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems (LAB-RS), 2008
D. Nguyen-Tuong, Jan Peters
semanticscholar   +1 more source

Endocytic Control of Cell‐Autonomous and Non‐Cell‐Autonomous Functions of p53

open access: yesAdvanced Science, EarlyView.
NUMB Ex3‐containing isoforms localize to the plasma membrane, where they recruit p53 through SNX9 and direct it to multivesicular bodies and exosomes. Exported p53 is taken up by neighboring cells and activates nuclear programs, revealing an intercellular, exosome‐based pathway that might help establish a tumor‐suppressive microenvironment.
Roberta Cacciatore   +20 more
wiley   +1 more source

Extracting the Epoch of Reionization Signal with 3D U-Net Neural Networks Using a Data-driven Systematic Effect Model

open access: yesThe Astrophysical Journal
Neutral hydrogen serves as a crucial probe for the Cosmic Dawn and the Epoch of Reionization (EoR). Actual observations of the 21 cm signal often encounter challenges such as thermal noise and various systematic effects.
Li-Yang Gao   +13 more
doaj   +1 more source

Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq

open access: yesAdvanced Science, EarlyView.
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su   +10 more
wiley   +1 more source

Bayesian neural networks and Gaussian processes in identification of concrete properties

open access: yesComputer Assisted Methods in Engineering and Science, 2017
This paper gives a concise overview of concrete properties prediction using advanced nonlinear regression approach and Bayesian inference. Feed-forward layered neural network (FLNN) with Markov chain Monte Carlo stochastic sampling and Gaussian process (
Marek Słoński
doaj  

In Situ Characterisation of Hydrogels via Dynamic Interface Printing

open access: yesAdvanced Science, EarlyView.
ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler   +2 more
wiley   +1 more source

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