Results 101 to 110 of about 140,191 (290)

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

Disruption prediction using a full convolutional neural network on EAST [PDF]

In this study, a long short-term memory (LSTM) model is trained on a large disruption warning database to predict the disruption on EAST tokomak. To compare the performance of the proposed model with the previously reported full convolutional neural ...
Guo, B.H.; Chen, D.L.; Shen, B.; Rea, C.; Granetz, R.S.; Zeng, L.; Hu, W.H.; Qian, J.P.; Sun, Y.W.; Xiao, B.J.
core   +1 more source

Predicted exposures to steroid estrogens in U.K. rivers correlate with widespread sexual distruption in wild fish populations [PDF]

, 2005
Steroidal estrogens, originating principally from human excretion, are likely to play a major role in causing widespread endocrine disruption in wild populations of the roach (Rutilus rutilus) , a common cyprinid fish, in rivers contaminated by treated ...
Ronny van Aerle, Nolan, Monique, Nolan, M, Ayesha Taylor, Susan Jobling, Jobling, Susan, Jobling, S, Santos, E, Brighty, Geoff, Johnson, Andrew, Tyler, CR, Charles R. Tyler, Taylor, Ayesha, Andrew Johnson, Gross-Sorokin, M, Taylor, A, Williams, Richard, Santos, Eduarda, van Aerle, R, Richard Williams, Brighty, G, Geoff Brighty, Eduarda Santos, Williams, R, Aerle, RV, Gross-Sorokin, Melanie, Tyler, Charles R, Johnson, A, Melanie Gross-Sorokin, Monique Nolan, van Aerie, Ronny   +30 more
core   +1 more source

eXplainable artificial intelligence applied to algorithms for disruption prediction in tokamak devices

Frontiers in Physics
Introduction: This work explores the use of eXplainable artificial intelligence (XAI) to analyze a convolutional neural network (CNN) trained for disruption prediction in tokamak devices and fed with inputs composed of different physical quantities ...
L. Bonalumi, L. Bonalumi, L. Bonalumi, E. Aymerich, E. Alessi, B. Cannas, A. Fanni, E. Lazzaro, S. Nowak, F. Pisano, G. Sias, C. Sozzi   +11 more
doaj   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

An investigation of factors influencing disrupted sleep in university students

فصلنامه دانشگاه علوم پزشکی جهرم, 2013
Introduction: Sleep disruption is one of the psychosocial issues among college students which might adversely affect their lives. This study examines the role of individual and psychosocial factors and intensive scholastic schedule in disrupted sleep ...
Ishagh Rahimian Boogar, Mahdi Ghodrati Mirkouhi   +1 more
doaj  

Machine learning based disruption prediction using long short-term memory in KSTAR

Nuclear Fusion
This study presents a machine learning model for predicting plasma disruptions using the KSTAR database. The model employs a long short-term memory (LSTM) network to capture temporal patterns in zero-dimensional plasma signals.
Jeongwon Lee, Jayhyun Kim, Jinsu Kim, Sang-hee Hahn, Hyunsun Han, Giwook Shin, Yong-Su Na, Yong Un Nam   +7 more
doaj   +1 more source

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

Toward Black Hole Stars: Supermassive Black Hole Growth in Nuclear Clusters via Stellar-object and Gas Accretion

The Astrophysical Journal Letters
Supermassive black hole (SMBH) growth plausibly occurs via runaway astrophysical black hole mergers in nuclear star clusters that form intermediate mass black hole seeds at high redshifts.
Konstantinos Kritos, Joseph Silk
doaj   +1 more source

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

Molecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington, Divya L. Dayanidhi, Mohammad Zokaasadi, John B. Mantyh, Pelumi D. Olawuni, Gabrielle Rupprecht, Jeremy M. Force, Shannon McCall, Ashwani K. Bahl, David S. Hsu, Jason A. Somarelli   +10 more
wiley   +1 more source