Results 151 to 160 of about 587,271 (358)

Capsules and Closures

open access: yesElectronic Notes in Theoretical Computer Science, 2011
AbstractCapsules are a clean representation of the state of a computation in higher-order programming languages with effects. Their intent is to simplify and replace the notion of closure. They naturally provide support for functional and imperative features, including recursion and mutable bindings, and ensure lexical scoping without the use of ...
openaire   +2 more sources

Light‐Triggered Protease‐Mediated Release of Actin‐Bound Cargo from Synthetic Cells

open access: yesAdvanced Biology, EarlyView.
TEV Prtoease‐mediated Releasable Actin‐binding Protein (TRAP) is a protein‐based platform consisting of a cargo tightly bound to reconstituted actin networks in synthetic cells which can be proteolyticly released from the bound actin, followed by its secretion through membrane translocation mediated by a cell‐penetrating peptide.
Mousumi Akter   +3 more
wiley   +1 more source

CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces [PDF]

open access: yesarXiv, 2018
In this paper, we formalize the idea behind capsule nets of using a capsule vector rather than a neuron activation to predict the label of samples. To this end, we propose to learn a group of capsule subspaces onto which an input feature vector is projected.
arxiv  

Coacervates Composed of Low‐Molecular‐Weight Compounds– Molecular Design, Stimuli Responsiveness, Confined Reaction

open access: yesAdvanced Biology, EarlyView.
Coacervation driven by liquid‐liquid phase separation (LLPS) of biopolymers has garnered increasing attention in biology since this leads to the formation of membraneless organelles capable of performing essential yet largely unknown functions. This review highlights recent advances in coacervates (artificial condensates) composed of low‐molecular ...
Sayuri L. Higashi, Masato Ikeda
wiley   +1 more source

ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis [PDF]

open access: yesarXiv
Deep learning has excelled in medical image classification, but its clinical application is limited by poor interpretability. Capsule networks, known for encoding hierarchical relationships and spatial features, show potential in addressing this issue.
arxiv  

Variational Capsules for Image Analysis and Synthesis [PDF]

open access: yesarXiv, 2018
A capsule is a group of neurons whose activity vector models different properties of the same entity. This paper extends the capsule to a generative version, named variational capsules (VCs). Each VC produces a latent variable for a specific entity, making it possible to integrate image analysis and image synthesis into a unified framework. Variational
arxiv  

Distinct Network Morphologies from In Situ Polymerization of Microtubules in Giant Polymer‐Lipid Hybrid Vesicles

open access: yesAdvanced Biology, EarlyView.
The successful in situ polymerization of microtubules in giant polymer‐lipid hybrid vesicles is illustrated. The microtubules formed in the giant hybrid vesicles exhibit different morphologies including lumenal network formation and membrane association. Abstract Creating artificial cells with a dynamic cytoskeleton, akin to those in living cells, is a
Paula De Dios Andres   +4 more
wiley   +1 more source

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

open access: yesAdvanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi   +4 more
wiley   +1 more source

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