Results 31 to 40 of about 112,755 (263)
Scalable Image Self-Embedding Based on Dual-Rate SPIHT-LDPC Reference Generation Scheme [PDF]
Image Self-Embedding is a method of embedding two sets of data into the original image, authentication data for tamper detection and reference data for image recovery.
N. Daneshmandpour +2 more
doaj
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Self-embedding robust digital watermarking algorithm with perfectly blind detection
Those existing robust watermarking algorithms couldn’t achieve perfectly blind detection.A robust watermarking algorithm with perfectly blind detection was proposed by introducing the self-embedding idea into robust watermarking literature.At first,the ...
Tian-yu YE
doaj +2 more sources
Self-recovery scheme for audio restoration using auditory masking. [PDF]
Self-recovery schemes identify and restore tampering, using as a reference a compressed representation of a signal embedded into itself. In addition, audio self-recovery must comply with a transparency threshold, adequate for applications such as on-line
Alejandra Menendez-Ortiz +2 more
doaj +1 more source
Attribute Graph Clustering Based on Self-Supervised Spectral Embedding Network
Attribute graph clustering requires joint modeling of both graph structure and node properties, which is challenging. In recent years, graph neural networks have been utilized to mine deep information on attribute graphs through feature aggregation ...
Xiaolin Ning +3 more
doaj +1 more source
Free recall of self-embedded english sentences
Subjects were given five trials to memorize 22-word sentences that varied in degree of self-embedding. Sentences with self-embedded phrase structure proved more difficult to learn, which is interpreted to mean that our capacity to deal with recursive interruptions may be extremely limited.
George A. Miller, Stephen Isard
openaire +1 more source
Structure‐forward targeting of claudins with synthetic binders
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
An Attribute Graph Embedding Algorithm for Sensing Topological and Attribute Influence
The unsupervised attribute graph embedding technique aims to learn low-dimensional node embedding using neighborhood topology and attribute information under unlabeled data.
Dongming Chen +4 more
doaj +1 more source
Observations with self-embedded sentences [PDF]
The Miller-Isard hypothesis that people attempt to process multiply self-embedded sentences as recursively interrupted sub-routines was critically examined. Results of a sentence comprehension test showed that Ss perceive such sentences as ungrammatical approximations to sentences with one embedding rather than as multiply embedded structures.
openaire +1 more source

