Results 211 to 220 of about 1,406,587 (292)

When Universities Turn Carceral: Between Academic Freedom and Elimination

open access: yes
The British Journal of Sociology, EarlyView.
Gil Rothschild Elyassi
wiley   +1 more source

Challenges in Gene‐Directed Therapies for Rare Neurodevelopmental Disorders Using HNRNPU as an Exemplar

open access: yesClinical Genetics, EarlyView.
Beyond diagnosing rare neurodevelopmental disorders like HNRNPU‐RNDD, developing gene‐directed therapies requires overcoming complex hurdles, including spatial, developmental, and cell‐type constraints. Addressing these requires understanding the molecular effects of dosage and chromatin dynamics to deliver precise, effective treatments.
Daniel Aiyedun   +3 more
wiley   +1 more source

Hierarchical Differentiable Fluid Simulation

open access: yesComputer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong   +4 more
wiley   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

open access: yesComputer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer   +5 more
wiley   +1 more source

Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration. [PDF]

open access: yesBiomimetics (Basel)
Carrasco C   +5 more
europepmc   +1 more source

Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction

open access: yesComputer Graphics Forum, EarlyView.
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik   +6 more
wiley   +1 more source

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