Results 141 to 150 of about 347,870 (327)

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao   +11 more
wiley   +1 more source

Corrigendum: A Survey of Consumer Perceptions of Plant-Based and Clean Meat in the USA, India, and China

open access: yesFrontiers in Sustainable Food Systems, 2020
Christopher Bryant   +4 more
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Opportunities for applying biomedical production and manufacturing methods to the development of the clean meat industry

open access: hybrid, 2018
Elizabeth A. Specht   +3 more
openalex   +1 more source

Single‐Crystal PZT‐Driven Organic Piezo‐Phototronic Adaptive Transistors Toward Advanced Spatiotemporal Visual Computing

open access: yesAdvanced Science, EarlyView.
Here, we propose a single‐crystal PZT‐based piezo‐phototronic organic adaptive memory transistor (OAMT), achieving a record memory window capacity factor (γ) of 0.87 at a low SS of 200 mV/decade via efficient multi‐field control. The device achieves a high recognition accuracy ∼ 90% in neuromorphic simulations, demonstrates robust fault tolerance under
Chenhao Xu   +8 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

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