Results 91 to 100 of about 1,142,090 (245)
Retina‐Inspired Bi‐Based Terahertz Photonic Neuromorphic Devices
Combined with effective band alignment and substrate engineering, bismuth materials are introduced to form terahertz photonic bio‐inspired devices with picosecond short‐term plasticity to enable multi‐scene visual perception. Thus obtained hardware through the terahertz optical neural network (THz‐ONN) demonstrates high recognition accuracy, providing ...
Pujing Zhang +14 more
wiley +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Chromatin moves with subdiffusive and spatially constrained dynamics within the cell nucleus. Here, we use single-locus tracking by time-lapse fluorescence microscopy to uncover information regarding the forces that influence chromatin movement following
Assaf Amitai +3 more
doaj +1 more source
This study introduces a biomimetic “nanofusion” platform that integrates the biostability of threose nucleic acids (TNA) with homotypic cell‐membrane cloaking to combat drug‐resistant TNBC. By leveraging a non‐canonical membrane‐fusion pathway for direct cytosolic delivery, the platform bypasses endosomal sequestration. To achieve potent AKT2 silencing
Wei Zheng +7 more
wiley +1 more source
EMI-EDU: reframing learning and education through energy, mass and information
Building on the EMI framework that conceptualises consciousness, cognition, and behaviour as emergent phenomena arising from dynamic interactions among energy, mass, and information, this article extends the model into the educational domain by reframing
Tommaso Firaux +2 more
doaj +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Uploaded by Plazi for TaxoDros. We do not have abstracts.
Cordeiro, A.R., Lewgoy, F., Tondo, C.V.
openaire +2 more sources
Using single‐cell and spatial transcriptomics, we identified key regulators that govern cell differentiation involved in parasite development and egg laying in Schistosoma japonicum. This comprehensive study establishes a foundational resource for understanding schistosome biology, deciphers the regulatory programs underlying cell differentiation and ...
Zhigang Lu +9 more
wiley +1 more source
Multiscale modeling of physical and biological systems [PDF]
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the Makedonia Palace Hotel, Thessaloniki in Greece.
Karniadakis, GE +1 more
core +3 more sources
International audienceWhile Na V α-subunits in mammals are encoded by nine genes, two genes have been described in insects. The para gene (e.g., Drosophila melanogaster) and a second gene, called DSC1 for Drosophila Sodium Channel 1. DSC1 shares moderate
Chahine, Mohamed +5 more
core +1 more source

