Results 131 to 140 of about 24,500,069 (341)
In this paper, starting from filters which are a natural generalization of intersection filters [\textit{H. Barendregt, M. Coppo} and \textit{M. Dezani-Ciancaglini}, J. Symb. Logic 48, 931-940 (1983; Zbl 0545.03004)], the existence of filter models and filter semimodels for the \(\lambda\)-calculus is investigated.
Ines Margaria, Maddalena Zacchi
openaire +1 more source
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source
A generative design system based on evolutionary and mathematical functions
Previous work by Professor John Frazer on Evolutionary Architecture provides a basis for the development of a system evolving architectural envelopes in a generic and abstract manner.
Xiyu, Liu, Frazer, John H., Mingxi, Tang
core
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
wiley +1 more source
Unlocking the Potential of Generative Artificial Intelligence in Drug Discovery
Deep generative models have been widely employed across diverse fields, ranging from image and video analysis to natural language processing. In combination with the increasing computational power and abundant data resources available in the public ...
Lavecchia, Antonio +2 more
core +1 more source
Orthogonality and graph divergence losses promote disentanglement in generative models
Over the last decade, deep generative models have evolved to generate realistic and sharp images. The success of these models is often attributed to an extremely large number of trainable parameters and an abundance of training data, with limited or no ...
Ankita Shukla +10 more
doaj +1 more source
The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga +3 more
wiley +1 more source
Generative Models for Periodicity Detection in Noisy Signals
We present the Gaussian Mixture Periodicity Detection Algorithm (GMPDA), a novel method for detecting periodicity in the binary time series of event onsets.
Ezekiel Barnett +4 more
core +1 more source

