Results 101 to 110 of about 2,114,322 (282)

Overview of real-time disruption prediction in JET: applicability to ITER

, 2014
Overview of real-time disruption prediction in JET: applicability to ...
Moreno R, Vega J, Alves D, Murari A, Farias G, Pereira A, JETEFDA Contributors, Ramírez JM, Rattá GA, López JM, DormidoCanto S   +10 more
core  

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

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

Molecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis, Jack V. Mills, Wojciech Niedzwiedz, Valentine M. Macaulay   +3 more
wiley   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 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

Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption Prediction. [PDF]

Environ Sci Technol, 2020
Zorn KM, Foil DH, Lane TR, Russo DP, Hillwalker W, Feifarek DJ, Jones F, Klaren WD, Brinkman AM, Ekins S.   +9 more
europepmc   +1 more source

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source

An intelligent expert system for logistics disruption prediction and mitigation in global supply chains: Integrating graph-based risk inference with ensemble forecasting

Scientific Reports
In the highly interconnected and dynamically evolving global supply chain, logistics disruption events show the characteristics of frequent occurrence, structural dependence and significant risk cascade, which brings severe challenges to prediction and ...
Tianwen Zhao, Guoqing Chen, Piyapatr Busababodhin   +2 more
doaj   +1 more source

Jointly Predicting Civil Unrest Event Occurrence Probabilities and Potential Initiators via Multi-Task Learning

Big Data and Cognitive Computing
The eruption of civil unrest events often inflicts severe disruption on social stability. Accurate prediction of these events can assist decision-makers in proactively formulating countermeasures, thereby preventing violent incidents and mitigating ...
Kelang Zhao, Zexin Fu, Wenjie Tang, Yan Pan, Xin Zhang   +4 more
doaj   +1 more source