Results 31 to 40 of about 138,109 (218)

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Vi-DP: low-latency video-based disruption prediction with multi-FOV fusion in EAST

Nuclear Fusion
Plasma disruption poses a significant safety challenge for future tokamaks and fusion reactors. Prior work on disruption prediction relies primarily on multiple scalar zero-dimensional (0D) signals and one-dimensional (1D) profiles as input of the ...
M.W. Chen, K.J. Yang, J.J. Zhu, Q.J. Wang, F. Cheng, D.L. Chen, X.Z. Gong, B. Zhang, X.H. Zhang, Y.M. Duan, B.F. Gao, Y. Wang, W. Wang, Z.F. Guan, R.Z. Chen   +14 more
doaj   +1 more source

Anticipating Railway Operation Disruption Events Based on the Analysis of Discrete-Event Diagnostic Data

Chemical Engineering Transactions, 2013
Public transport reliability is a highly important factor affecting passenger service quality, transportation mode choice, and operating costs. Unreliable service increases operating costs and reduces patronage.
O. Fink, E. Zio, U. Weidmann
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Cross-tokamak disruption prediction based on domain adaptation

Nuclear Fusion
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.
Chengshuo Shen, Wei Zheng, Bihao Guo, Yonghua Ding, Dalong Chen, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Biao Shen, Binjia Xiao, Zhongyong Chen, Yuan Pan, J-TEXT Team   +13 more
doaj   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +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

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

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

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source