Results 131 to 140 of about 62,783 (309)

Voltage‐Reconfigurable Magneto‐Ionic Nanolayers in Dot Arrays for Probabilistic, Materials‐Engineered Security Primitives

Advanced Science, EarlyView.
A magneto‐ionic security‐by‐materials‐design strategy exploits voltage‐driven N3– migration in selectively contacted FeCoN dots, creating reconfigurable sub‐15 nm ferromagnetic sublayers with deterministic and/or probabilistic (single‐domain↔vortex) states, voltage‐tunable probabilities and fully stochastic orientation/chirality.
Irena Spasojevic, Federica Celegato, Alessandro Magni, Paola Tiberto, Jordi Sort   +4 more
wiley   +1 more source

58295: A photograph of William Binning

Photograph of William Binning in uniform for the first time.
Great War Archive Project Team (17982721)
core   +1 more source

ECOGEO 'Omics Training: 4.3 Binning Module - Anvi'o v2

, 2016
This is the hands-on interactive component to the ECOGEO Workshop Module on Binning.
A. Murat Eren
core   +1 more source

EndoTac: An Endoscopic Camera‐Based Tactile Sensor with High Sensitivity for Minimally Invasive Surgery

Advanced Science, EarlyView.
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang, Nicolas Raison, Xuyang Zhang, Aijia Yang, Lukas Lindenroth, Shan Luo   +5 more
wiley   +1 more source

Fairy: fast approximate coverage for multi-sample metagenomic binning

Microbiome
Background Metagenomic binning, the clustering of assembled contigs that belong to the same genome, is a crucial step for recovering metagenome-assembled genomes (MAGs).
Jim Shaw, Yun William Yu
doaj   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Plaseval: a framework for comparing and evaluating plasmid detection tools

BMC Bioinformatics
Background Plasmids play a major role in the transfer of antimicrobial resistance (AMR) genes among bacteria via horizontal gene transfer. The identification of plasmids in short-read assemblies is a challenging problem and a very active research area ...
Aniket Mane, Haley Sanderson, Aaron P. White, Rahat Zaheer, Robert Beiko, Cédric Chauve   +5 more
doaj   +1 more source

Additive Manufacturing Powder Particle Size Distributions: Comparison of Histogram Binning Methods

Engineering Proceedings
Additive manufacturing powders require a well-defined particle size distribution (PSD) and spherical morphology to ensure good flowability. To simplify characterisation, powders can be prepared using standard metallurgical techniques followed by optical ...
Courtney Gallagher, Emmett Kerr, Shaun McFadden   +2 more
doaj   +1 more source

Rosella: Metagenomic binning using UMAP and HDBSCAN

Metagenomic Binning AlgorithmIf you use this software, please cite it as ...
Tyson, Gene W., Woodcroft, Ben J., Newell, Rhys J. P.   +2 more
core   +1 more source

B.C. Binning : A Retrospective

, 1973
The authors pay tribute to Binning while stressing his formalist approach to painting, drawing and architecture. Includes a catalogue of 63 paintings and drawings and a chronology.
Farr, Murray, Walker, Doreen, Balkind, Alvin, Shadbolt, Douglas   +3 more
core   +1 more source