Results 71 to 80 of about 1,850 (259)
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao +3 more
wiley +1 more source
Scalable sketching and indexing algorithms for large biological datasets
DNA sequencing data continues to progress towards longer sequencing reads with increasingly lower error rates. In order to efficiently process the ever-growing collections of sequencing data, there is a crucial need for more time- and memory-efficient ...
Ekim, Bariş C.
core
Electrochemical Modulation of Laser‐Induced Covalent Functionalization of Graphene
Photoelectrochemical functionalization of graphene introduces the electrochemical potential as an additional parameter for the laser‐induced covalent modification of graphene. Tuning of the potential allows for amplification or suppression of the functionalization reaction with constant laser parameters, which enables in situ Raman analysis of ...
Tamara Nagel +7 more
wiley +1 more source
This work presents a programmable multimodal information encryption device that harnesses the dynamic wetting behavior of liquid metal to achieve secure, reconfigurable, and high‐precision encryption and decryption of diverse data types, including text and images.
Xuedong Qiang +10 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
StrokeFusion: Vector Sketch Generation via Joint Stroke-UDF Encoding and Latent Sequence Diffusion
In the field of sketch generation, raster-format trained models often produce non-stroke artifacts, while vector-format trained models typically lack a holistic understanding of sketches, leading to compromised recognizability. Moreover, existing methods struggle to extract common features from similar elements (e.g., eyes of animals) appearing at ...
Jin Zhou +4 more
openaire +2 more sources
The TPR‐LYTACs nanomaterial offers a dual‐pathway strategy for precise gouty arthritis treatment by targeting and degrading the ROS‐producing enzyme NOX2 inside macrophages while its antioxidant core clears accumulated ROS outside. This “source inhibition and microenvironment scavenging” approach, guided by NIR‐II imaging, effectively controls local ...
Jian Zhang +15 more
wiley +1 more source
Motion Doodles: An Interface for Sketching Character Motion
In this paper we present a novel system for sketching the motion of a character. The process begins by sketching a character to be animated. An animated motion is then created for the character by drawing a continuous sequence of lines, arcs, and loops ...
Matthew Thorne +2 more
core
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
Dynamic sketching with structure-aware shape analysis
Line drawings can be remarkably effective at conveying shape and meaning while reducing visual clutter. Inspired by the effectiveness and aesthetic appeal of human line drawings, researchers have developed algorithms for generating line drawings from 3D ...
Liu, Jingbo
core

