Results 61 to 70 of about 2,114,322 (282)

Introduction: The ecological relevance of chemically induced endocrine disruption in wildlife [PDF]

, 2006
This article is part of the monograph “The Ecological Relevance of Chemically Induced Endocrine Disruption in Wildlife.
Charles R. Tyler, Susan Jobling, Jobling, S, Tyler, CR   +3 more
core   +1 more source

Disruption prediction at JET [Joint European Torus] [PDF]

The sudden loss of the plasma magnetic confinement, known as disruption, is one of the major issue in a nuclear fusion machine as JET (Joint European Torus), Disruptions pose very serious problems to the safety of the machine.
Milani, Federico
core   +7 more sources

Implementing deep learning-based disruption prediction in a drifting data environment of new tokamak: HL-3

Nuclear Fusion
A deep learning-based disruption prediction algorithm has been implemented on a new tokamak, HL-3. An Area Under receiver-operator characteristic Curve of 0.940 has been realized offline over a test campaign involving 72 disruptive and 240 non-disruptive
Zongyu Yang, Wulyu Zhong, Fan Xia, Zhe Gao, Xiaobo Zhu, Jiyuan Li, Liwen Hu, Zhaohe Xu, Da Li, Guohui Zheng, Yihang Chen, Junzhao Zhang, Bo Li, Xiaolong Zhang, Yiren Zhu, Ruihai Tong, Yunbo Dong, Yipo Zhang, Boda Yuan, Xin Yu, Zongyuhui He, Wenjing Tian, Xinwen Gong, Min Xu   +23 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Real-time disruption prediction in multi-dimensional spaces leveraging diagnostic information not available at execution time

Nuclear Fusion
This article describes the use of privileged information to train supervised classifiers, applied for the first time to the prediction of disruptions in tokamaks.
J. Vega, S. Dormido-Canto, R. Castro, J.D. Fernández, A. Murari, JET Contributors   +5 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation [PDF]

, 2023
The high acquisition cost and the significant demand for disruptive discharges for data-driven disruption prediction models in future tokamaks pose an inherent contradiction in disruption prediction research.
Ding, Yonghua, Chen, Zhongyong, Chen, Dalong, Wang, Nengchao, Guo, Bihao, team, J-TEXT, Xue, Fengming, Zheng, Wei, Shen, Chengshuo, Xiao, Binjia, Ai, Xinkun, Zhong, Yu, Pan, Yuan, Shen, Biao   +13 more
core  

Tokamak plasma disruption precursor onset time study based on semi-supervised anomaly detection

Nuclear Engineering and Technology
Plasma disruption in tokamak experiments is a challenging issue that causes damage to the device. Reliable prediction methods are needed, but the lack of full understanding of plasma disruption limits the effectiveness of physics-driven methods.
X.K. Ai, W. Zheng, M. Zhang, D.L. Chen, C.S. Shen, B.H. Guo, B.J. Xiao, Y. Zhong, N.C. Wang, Z.J. Yang, Z.P. Chen, Z.Y. Chen, Y.H. Ding, Y. Pan   +13 more
doaj   +1 more source

Prediction Model of the Pandemic Spreading Based on Weibull Distribution

Management Systems in Production Engineering, 2022
Pandemics have the potential to cause immense disruption of our everyday activities and has impact on the communities and societies mainly through the restrictions applied to the business activities, services, manufacturing, but also education ...
Guľáš Ľuboš, Talian Matej, Szabo Stanislav, Semrádová Beáta   +3 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source