Results 71 to 80 of about 17,696,681 (275)
Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
Language Models as Models of Language
CoRRThis chapter critically examines the potential contributions of modern language models to theoretical linguistics. Despite their focus on engineering goals, these models' ability to acquire sophisticated linguistic knowledge from mere exposure to data warrants a careful reassessment of their relevance to linguistic theory.
openaire +2 more sources
Individual Expert Selection and Ranking of Scientific Articles Using Document Length
Journal of ICT Research and Applications, 2019 Individual expert selection and ranking is a challenging research topic that has received a lot attention in recent years because of its importance related to referencing experts in particular domains and research fund allocation and management.
Fadly Akbar Saputra +2 more
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Study on performance optimization for Chinese speech retrieval
Tongxin xuebao, 2009 A new unit, named word fragment of language model was proposed to take full advantage of the Chinese linguistic information among adjacent syllables, and an algorithm for word fragment selection was studied.The experimental results show, with the ...
ZHENG Tie-ran, HAN Ji-qing, LI Hai-yang
doaj
AI language models in an educational context: an analysis of communication strategies
Викладання мов у вищих навчальних закладах освіти на сучасному етапі: Міжпредметні зв'язкиThe article analyzes communication strategies for interacting with artificial-intelligence-based language models. The relevance of the topic stems from a scientific and didactic problem: how to ensure a controllable communication strategy with AI ...
L. Radomska, Y. Sulima
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FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
Behavioral and Brain SciencesAbstract Futrell and Mahowald claim language models (LMs) “serve as model systems,” but an assessment at each of Marr’s three levels suggests the claim is clearly not true at the implementation level, poorly motivated at the algorithmic-representational level, and problematic at the computational theory level.
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Parlasent: mapping sentiment in political discourse with large language models
Political Research ExchangeThis paper introduces ParlaSent, a deep learning model for multilingual sentiment analysis, specifically designed to study sentiment in political discourse.
Michal Mochtak +3 more
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