Results 61 to 70 of about 12,385,044 (225)

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

open access: yesAdvanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang   +9 more
wiley   +1 more source

Non-Euclidean geometry for secondary schools

open access: yes, 2014
The aim is appropriate elaboration of the subject non-Euclidean geometry to high school. The work includes historical introduction that de- scribes the path to the discovery of non-Euclidean geometry.
Miháliková, Lucia
core  

Discrete 2D Material Programming for 3D Shaping and Morphogenesis‐Inspired 4D Bioprinting

open access: yesAdvanced Science, EarlyView.
Cell‐compatible discrete 2D material programming enables 2‐to‐3D shape transformation and morphogenesis‐inspired 4D bioprinting. By patterning cell‐supportive microdomains within a responsive hydrogel, the approach programs in‐plane growth to encode target metrics.
Fereshteh Family   +3 more
wiley   +1 more source

Wafer‐Scale 3D Integration for High‐Density Multi‐Valued Neuromorphic Logic

open access: yesAdvanced Science, EarlyView.
Wafer‐scale 3D vertically integrated multi‐valued logic (MVL) circuits are realized by monolithically integrating a Te/IGZO heterojunction FET with an engineered Te pull‐up FET. Heterointerface‐mediated transport and optimized current matching enable stable ternary operation, while vertical stacking reduces circuit footprint and interconnect complexity,
Chang‐Hyeon Kim   +5 more
wiley   +1 more source

Regression Modeling for Spherical Data via Non-parametric and Least Square Methods

open access: yesپژوهش‌های ریاضی, 2019
Introduction Statistical analysis of the data on the Earth's surface was a favorite subject among many researchers. Such data can be related to animal's migration from a region to another position.
mosa golalizadeh, m moghimbeigy
doaj  

The discovery of non-Euclidean geometry [PDF]

open access: yes, 2014
This project gives a basic understanding of the difference between the Euclidean geometry and the non-Euclidean geometries (elliptic and hyperbolic). Furthermore the focus of the project is to describe the discovery of non-Euclidean geometry in the view ...
Salnaja, Alma, Rho, Aran
core  

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

open access: yesAdvanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English   +9 more
wiley   +1 more source

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells

open access: yesAdvanced Science, EarlyView.
Purely geometric 3D Voronoi models predict the organisation of epithelial shells. The interplay of curvature, geometry, and topology enriches the number of pentagons in shells with lower number of cells. Small MDCK cysts and Mouse embryos match the top polygonal configurations in a compactness‐based ranking derived from the Voronoi model. In conclusion,
Laura Morato   +9 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

open access: yesAdvanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li   +3 more
wiley   +1 more source

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