Results 161 to 170 of about 6,986 (292)
The Black-Box Complexity of Nearest Neighbor Search
We define a natural notion of e#ciency for approximate nearest-neighbor (ANN) search in general n-point metric spaces, namely the existence of a randomized algorithm which answers (1+#)-approximate nearest neighbor queries in polylog(n) time using ...
Robert Krauthgamer +2 more
core
We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha +13 more
wiley +1 more source
Graph-based approaches to nearest neighbor search are popular and powerful tools for handling large datasets in practice, but they have limited theoretical guarantees. We study the worst-case performance of recent graph-based approximate nearest neighbor
Xu, Haike
core
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
In this paper, we present an experimental comparison of various graph-based approximate nearest neighbor (ANN) search algorithms deployed on edge devices for real-time nearest neighbor search applications, such as smart city infrastructure and autonomous
Hauswirth, Manfred +4 more
core +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
A Framework for Database Search with AI Models in Mass Spectrometry-Based Proteomics. [PDF]
Kalogeropoulos K +3 more
europepmc +1 more source
3D Chromatin Architecture Provides Insights Into Leaf Trait Variation Among Pear Species
ABSTRACT Three‐dimensional (3D) chromatin architecture plays a fundamental role in eukaryotic gene regulations, its functional significance in perennial fruit trees remains poorly characterized despite extensive applications in crop genomics. Here, we developed high‐resolution (∼5 kb) Hi‐C maps of Pyrus and compared 3D genomic architecture of three ...
Yueyuan Liu +11 more
wiley +1 more source
ABSTRACT Liver metastasis is a leading cause of mortality in colorectal cancer (CRC), where the inflammatory tumor microenvironment, specifically neutrophil infiltration, significantly promotes metastatic colonization. This study reveals a pro‐metastatic role for alpha‐1 antitrypsin (A1AT) in CRC liver metastasis via a dual mechanism involving ...
Qian Fei +11 more
wiley +1 more source

