Results 91 to 100 of about 85,416 (307)

Performance of Transformer Models in Readability Assessment

open access: yes, 2023
Transformer models have proven to be effective tools when used for determining the readability of texts. Models based on pre-trained architectures such as BERT, RoBERTa, and BART, as well as ReadNet, a transformer model which is dedicated to readability ...
Sachelarie, David (author)
core  

Pattern-Based Model-to-Model Transformation [PDF]

open access: yes, 2008
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-87405-8_29 Proceedings of 4th International Conference, ICGT 2008, Leicester, United Kingdom, September 7-13, 2008 We present a new, high-level approach for the specification of model-to-model transformations based on declarative patterns.
Juan de Lara, Esther Guerra
openaire   +2 more sources

Dimethyl fumarate combined with cisplatin at subcytotoxic doses sensitizes cervical cancer toward ferroptosis and apoptosis through GSH restriction and p53 (re)activation

open access: yesMolecular Oncology, EarlyView.
Dimethyl fumarate (DMF) reduces growth of HPV‐positive cervical cancer spheroids and induces ferroptosis in cervical cancer cells via blocking SLC7A11/Glutathione (GSH) axis. Combination of subcytotoxic doses of DMF and cisplatin (CDDP) further suppresses spheroid growth and drives cell death in 2D culture models.
Carolina Punziano   +6 more
wiley   +1 more source

Empirical Study of Tweets Topic Classification Using Transformer-Based Language Models

open access: yes, 2021
Social media opens up a great opportunity for policymakers to analyze and understand a large volume of online content for decision-making purposes. People’s opinions and experiences on social media platforms such as Twitter are extremely significant ...
Bela Stantic   +7 more
core   +1 more source

A review of transformer models in drug discovery and beyond. [PDF]

open access: yesJ Pharm Anal
Transformer models have emerged as pivotal tools within the realm of drug discovery, distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes. Leveraging the innate capabilities of transformer
Jiang J   +9 more
europepmc   +2 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

Transformer models for educational purposes

open access: yes, 2017
The aim of the bachelor's thesis is to project and realize models of transformers in Matlab and Simulink program. Projected models explain the theoretical precondition of the models. The aim is also to create manuals for models usage.
Beran, Vojtěch
core   +1 more source

Emotional evaluation of open-ended responses with transformer models [PDF]

open access: yes
This work applies Natural Language Processing (NLP) techniques, specifically transformer models, for the emotional evaluation of open-ended responses.
Malheiro, Benedita   +7 more
core   +2 more sources

Leveraging Transfer Learning for Hate Speech Detection in Portuguese Social Media Posts

open access: yesIEEE Access
The rapid rise of social media has brought about new ways of digital communication, along with a worrying increase in online hate speech (HS), which, in turn, has led researchers to develop several Natural Language Processing methods for its detection ...
Gil Ramos   +9 more
doaj   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

open access: yesMolecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos   +6 more
wiley   +1 more source

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