Results 131 to 140 of about 155,666 (297)
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
This review highlights recent advances in integrating biocatalysis and chemocatalysis in continuous flow to create streamlined, sustainable processes. It examines chemo‐enzymatic cascades combining at least one enzymatic and one chemical step, discusses challenges such as enzyme immobilization, leaching, and reactor clogging, and presents solutions ...
Petros Siasiaridis +2 more
wiley +2 more sources
Enabling Metal‐Based Soft Robotics Through Investment Casting
Vacuum investment casting enables manufacturing of compliant soft robotic structures out of AA7075 high‐strength aluminum alloy. Additively manufactured patterns are converted into metal soft robotic structures addressing long lasting challenges like durability and nonlinearity of elastomer‐based soft robotics.
Felix Pancheri, Tim C. Lueth, Yilun Sun
wiley +1 more source
Solar energetic particle (SEP) events are associated with coronal mass ejections (CMEs) and/or solar flares. SEPs travel through the corona and interplanetary space to reach Earth, posing a radiation hazard to spacecraft and astronauts working in space ...
Lei Cheng +3 more
doaj +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Discovery of a Plant Pictet–Spenglerase With R‐Stereoselectivity
Strictosidine synthases (STRs) are plant Pictet–Spenglerases catalyzing the coupling of a secoiridoid with tryptamine. All previously characterized strictosidine synthases are strictly S‐selective. Here, we report the discovery of Epi‐STR, an R‐selective STR ortholog from the medicinal plant Pogonopus speciosus.
Clara Morweiser +3 more
wiley +2 more sources
Evaluation of off-road terrain with static stereo and monoscopic displays [PDF]
The National Aeronautics and Space Administration is currently funding research into the design of a Mars rover vehicle. This unmanned rover will be used to explore a number of scientific and geologic sites on the Martian surface. Since the rover can not
Hartley, Craig S., Yorchak, John P.
core +1 more source
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li +10 more
wiley +1 more source

