Results 81 to 90 of about 4,710 (260)

De Novo Designed Minibinders Targeting the GDF15–GFRAL Axis Reverse Cancer Cachexia and Restore Anti‐Tumor Immunity

open access: yesAdvanced Science, EarlyView.
Tumor‐derived GDF15 drives cancer cachexia and suppresses antitumor immunity. Here, de novo designed minibinders targeting the GDF15–GFRAL interface achieve picomolar affinity and potent pathway blockade. The minibinders alleviate cachexia, restore CD8+ T‐cell infiltration, enhance anti–PD‐1 responsiveness, and provide survival benefits across tumor ...
Haitao Wang   +8 more
wiley   +1 more source

Stagger: an Open-Source Part of Speech Tagger for Swedish

open access: yesNorthern European Journal of Language Technology, 2013
This work presents Stagger, a new open-source part of speech tagger for Swedish based on the Averaged Perceptron. By using the SALDO morphological lexicon and semi-supervised learning in the form of Collobert andWeston embeddings, it reaches an accuracy
Robert Östling
doaj   +1 more source

The E3 Ubiquitin Ligase RLIM Safeguards Oligodendrocyte Development and Myelination by Targeting SLC7A11 for Polyubiquitination to Regulate Ferroptotic Resistance

open access: yesAdvanced Science, EarlyView.
RLIM‐mediated SLC7A11 polyubiquitination is required for SPTBN2‐mediated trafficking and membrane localization of SLC7A11, which enables oligodendrocyte precursor cells to be resistant to ferroptosis and safeguards oligodendrocyte lineage progression and thus myelination.
Yuwei Li   +8 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

PEAR1 Promotes Glucose Metabolism Reprogramming in Sepsis‐Associated Acute Lung Injury via AARS1‐Mediated HIF‐1α Lactylation

open access: yesAdvanced Science, EarlyView.
This study revealed that a PEAR1/HIF‐1α/ glycolysis/lactate/H3K18la positive feedback loop in PMVECs that drives the development of S‐ALI. Mechanistically, PEAR1 mediates the binding of HIF‐1α to AARS1, leading to the lactylation of HIF‐1α, the primary lactylation site of which is K172.
Shuai Li   +15 more
wiley   +1 more source

Formal Methods of Tokenization for Part-of-Speech Tagging

open access: yes, 2002
[Abstract] One of the most important prior tasks for robust part-of-speech tagging is the correct tokenization or segmentation of the texts. This task can involve processes which are much more complex than the simple identification of the diferent sentences in the text and each of their individual components, but it is often obviated in many current ...
Graña Gil, Jorge   +2 more
openaire   +2 more sources

Chemoselective Metabolomics via a Modular Reactivity‐Encoding Platform

open access: yesAdvanced Science, EarlyView.
Conventional LC–MS underrepresents numerous metabolites due to heterogeneous ionization efficiencies and matrix interference. Here, we introduce a modular reactivity‐encoding platform (MREP) comprising four alkyne‐tagged probes that selectively derivatize key functional groups, followed by unified click‐chemistry capture to eliminate matrix components ...
Xin Tao   +10 more
wiley   +1 more source

Domain Shift in Part-of-Speech Tagging

open access: yes
This study highlights domain shift in dataset distributions that impact machine learning performance in clinical natural language processing, analyzing linguistic differences across clinical narratives, biomedical abstracts, and news articles in English using part-of-speech (POS) tag distributions.
Amila, Kugic   +2 more
openaire   +2 more sources

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