Results 191 to 200 of about 773,448 (292)

cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data

open access: yesAdvanced Science, EarlyView.
cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao   +7 more
wiley   +1 more source

Noise Fingerprints as a Quantitative Order Parameter for Polarization‐ and Defect‐Mediated Switching in Hafnia Ferroelectrics

open access: yesAdvanced Science, EarlyView.
Low‐frequency noise fingerprints in hafnia ferroelectrics provide a quantitative handle to resolve the long‐standing debate between polarization‐mediated and defect‐mediated switching. By tuning oxygen vacancy density via ALD O3 dose time and applying a physically constrained deconvolution, we extract bias‐resolved current fractions for both mechanisms
Ryun‐Han Koo   +8 more
wiley   +1 more source

Nanozymes for Energy and Environmental Sustainability

open access: yesAdvanced Science, EarlyView.
At present, the widely used nanozymes are oxidoreductase and hydrolase, which have proved to have great application prospects in energy and environment. ABSTRACT Nanozymes have shown remarkable promise in addressing pressing challenges in energy and environmental sustainability.
Xiaoqi Li, Jinxing Chen, Shaojun Dong
wiley   +1 more source

Reaction Mechanism, Challenges, and Strategies of High‐Energy‐Density Sodium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
Focusing on high‐energy‐density sodium‐ion batteries, this review highlights the advantages offered by conversion‐type cathode materials. The currently studied cathode materials are systematically introduced. By analyzing sulfur, oxygen, and transition metal halides and other conversion‐type cathodes, the key challenges associated with these cathodes ...
Dan Yu   +8 more
wiley   +1 more source

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

open access: yesAdvanced Science, EarlyView.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos   +6 more
wiley   +1 more source

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