Results 151 to 160 of about 26,367,629 (301)

RECODE - Relational Ecological COrpus for Data Extraction. [PDF]

Biodivers Data J
Branco VV, Pivovarova L, Lintulaakso KJ, Correia LM, Baranovičová L, Lahin I, Dias F, Filipe D, Cardoso P.   +8 more
europepmc   +1 more source

Data Extraction [PDF]

, 2020
openaire   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

Molecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu, Nicolas J. Niklaus, Anna M. Schläfli, Igor Tokarchuk, Magali Humbert, Federico La Manna, Bich Vu, David Maul, Ramin Radpour, Marianna Kruithof‐de Julio, Inti Zlobec, Jörn Dengjel, Bruce E. Torbett, Mario P. Tschan   +13 more
wiley   +1 more source

Using rule extraction to improve the comprehensibility of predictive models. [PDF]

Whereas newer machine learning techniques, like artifficial neural net-works and support vector machines, have shown superior performance in various benchmarking studies, the application of these techniques remains largely restricted to research ...
Vanthienen, Jan, Baesens, Bart, Huysmans, Johan   +2 more
core  

FastSAM-Based Automated Segmentation and Data Extraction for Pore Structures of Foamed Concrete. [PDF]

Materials (Basel)
Xiong L, Du S, Wan Z, Cui X, Chen B, Huang Y, Sun Z.   +6 more
europepmc   +1 more source

Data mining for activity extraction in video data.

, 2008
L'exploration de larges bases de données vidéo est une tâche qui devient possible grâce aux avancées techniques dans la détection et le suivi d'objets. Les méthodes de fouille d'information comme le clustering sont typiquement employées. Celles-ci ont été principalement appliquées pour la segmentation/indexation vidéo mais l'extraction de connaissances
Patino Vilchis, Jose Luis, Corvee, Etienne, Bremond, François, Thonnat, Monique   +3 more
openaire   +2 more sources

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction

, 1998
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts surface information from text.
Surface Information Extraction, Hugo Zaragoza, Patrick Gallinari   +2 more
core  

A deep learning framework for scientific chart data extraction and reconstruction. [PDF]

Commun Eng
Yuan Y, Liang S, Zhang J, Wang Y, Wang Z.   +4 more
europepmc   +1 more source