Results 91 to 100 of about 950,595 (308)
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
The QWERTY Effect Does Not Extend to Birth Names
Names, 2013 The QWERTY effect suggests a consequence to word meaning deriving from the placement of letters on a QWERTY keyboard. reported that words formed primarily of letters from the left side of the keyboard were more aversive in nature, whereas those on the ...
Wayne E Thogmartin
doaj +1 more source
Asymptotic and bootstrap inference for inequality and poverty measures [PDF]
A random sample drawn from a population would appear to offer an ideal opportunity to use the bootstrap in order to perform accurate inference, since the observations of the sample are IID.
Russell Davidson, Emmanuel Flachaire
core
Getting one step closer to deduction: Introducing an alternative paradigm for transitive inference [PDF]
, 2008 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2008 Psychology Press.Transitive inference is claimed to be “deductive”. Yet every group/species ever reported apparently uses it.
Wright, BC, Howells, D
core +1 more source
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 +2 more
wiley +1 more source
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 +5 more
wiley +1 more source
RNA‐related functions of BRCA2 in transcription, replication, and genome stability
FEBS Letters, EarlyView.Beyond its role in homologous recombination, BRCA2 regulates R‐loop homeostasis, DNA–RNA hybrid resolution, RNA polymerase II dynamics, and transcriptional activation. Disruption of any of these functions can contribute to genome instability, inflammatory signaling, and tumorigenesis. BRCA2 is a central tumor suppressor protein best known for its roles
Lucia Alvaro‐Aranda +2 more
wiley +1 more source
Active Inference is a Subtype of Variational Inference
CoRRAutomated decision-making under uncertainty requires balancing exploitation and exploration. Classical methods treat these separately using heuristics, while Active Inference unifies them through Expected Free Energy (EFE) minimization. However, EFE minimization is computationally expensive, limiting scalability. We build on recent theory recasting EFE
Wouter W. L. Nuijten, Mykola Lukashchuk
openaire +2 more sources
Influences and Inferences [PDF]
Computational Linguistics, 2013 I am deeply honored to receive the ACL’s Lifetime Achievement Award. I’m especially honored when I look back at the list of previous winners—Chuck Fillmore, Eugene Charniak, Eva Hajicova, Fred Jelinek, Martin Kay, Aravind Joshi, and the others— they’re all my heroes. I was of course delighted to learn of this award.
openaire +3 more sources
Simulation of Inference Accuracy Using Realistic RRAM Devices
Frontiers in Neuroscience, 2019 Resistive Random Access Memory (RRAM) is a promising technology for power efficient hardware in applications of artificial intelligence (AI) and machine learning (ML) implemented in non-von Neumann architectures.
Adnan Mehonic +4 more
doaj +1 more source