Results 121 to 130 of about 42,720 (290)

Dicationic Ion‐Pair Doping Enables Stable and High‐Performing Conducting Polymers for Organic Thermoelectrics

open access: yesAdvanced Science, EarlyView.
TAB–2TFSI enables efficient ion‐pair doping across a wide range of conjugated polymers, where the strongly oxidizing TAB core drives charge transfer, and the TFSI counterions promote favorable ionic compensation. This dicationic dopant promotes uniform dopant distribution, improves structural order, and increases carrier delocalization, establishing a ...
Juhyung Park   +14 more
wiley   +1 more source

scepticism [PDF]

open access: yes
: Scepticism has only two moves to make and each is ...
Hall, Michael
core   +2 more sources

Programmable Paracrine‐Mimetic Microneedle System for Temporal Regulation of Cardiac Repair

open access: yesAdvanced Science, EarlyView.
Temporal signaling is encoded into a programmable paracrine‐mimetic microneedle patch via tris(2,2'‐bipyridyl)dichlororuthenium(II) hexahydrate/sodium persulfate‐tuned hydrogel microparticles that deliver TGF‐β, IGF‐1, and VEGF over phase‐matched 7‐, 14‐, and 28‐day windows.
Yichen Dai   +18 more
wiley   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

open access: yesAdvanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang   +9 more
wiley   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

open access: yesAdvanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan   +8 more
wiley   +1 more source

CSR scepticism

open access: yes
This chapter provides an overview of the literature on scepticism towards corporate social responsibility (CSR). It begins by defining CSR scepticism and outlining how the concept has been measured in extant studies, identifying that there is limited ...
Dunn, Katie
core   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

open access: yesAdvanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang   +14 more
wiley   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

open access: yesAdvanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang   +10 more
wiley   +1 more source

Use Against Scepticism

open access: yes
What place is left for semantic notions? There are three main positions in response to that question: eliminativism, physicalism and semanticalism. This book argues in favour of a version of semanticalism.
Vignolo, Massimiliano.
core  

An Unbiased Geometry‐Resolved Membrane Platform for Proteome‐Scale Discovery of Membrane Curvature Sensors

open access: yesAdvanced Science, EarlyView.
A novel geometry‐resolved membrane platform provides a seamlessly integrated pipeline for studying curvature‐sensing proteins. By linking shotgun proteomics with quantitative imaging, this approach enables both the unbiased discovery and rigorous validation of novel sensors across the entire curvature range—positive, negative, and zero.
Takumi Komikawa   +6 more
wiley   +1 more source

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