Results 41 to 50 of about 73,966 (319)

Metabolic modeling links gut microbiota to metabolic markers of Parkinson’s disease

Gut Microbes
Human gut microbiota have been implicated in metabolic disruptions in Parkinson’s disease (PD). However, the underlying mechanisms linking gut microbiota to these disease-related metabolic changes remain largely unknown.
Tim Hensen, Ines Thiele
doaj   +1 more source

Artificial cognitive systems: the next generation of the digital twin. An opinion. [version 2; peer review: 2 approved]

Digital Twin, 2021
The digital twin is often presented as the solution to Industry 4.0 and, while there are many areas where this may be the case, there is a risk that a reliance on existing machine learning methods will not be able to deliver the high level cognitive ...
David Jones
doaj   +1 more source

Digital Twin Cities: Multi-Disciplinary Modeling and High-Performance Simulation of Cities [Elektronisk resurs]

, 2022
The digital twin concept has virtually exploded in recent years, as evidenced by the exponentially growing number of scientific articles making use of the concept. The concept originates from the manufacturing industry where the use of CAD models enables
Logg, Anders,, Naserentin, Vasilis,
core  

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

FEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai, Mohyeddine Omrane, Nassima Benzoubir, Didier Samuel, Ama Gassama‐Diagne   +4 more
wiley   +1 more source

Cross‐Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide‐Level Deep Neural Network

Advanced Science
Cross‐species prediction of TF binding remains a major challenge due to the rapid evolutionary turnover of individual TF binding sites, resulting in cross‐species predictive performance being consistently worse than within‐species performance.
Qinhu Zhang, Siguo Wang, Zhipeng Li, Yijie Pan, De‐Shuang Huang   +4 more
doaj   +1 more source

Digital twin data: methods and key technologies [version 1; peer review: 1 approved, 3 approved with reservations]

Digital Twin, 2021
As a promising technology to converge the traditional industry with the digital economy, digital twin (DT) is being investigated by researchers and practitioners across many different fields. The importance of data to DT cannot be overstated.
Ang Liu, Meng Zhang, Lihui Wang, Fei Tao, Biqing Huang, A. Y. C. Nee, Nabil Anwer   +6 more
doaj   +1 more source

Trust, Purpose, Value and Connected Digital Twins : Digital Twin Hub Governance and Trust Working Group [PDF]

, 2023
The Digital Twin (DT) Hub was created in 2020 by the Centre for Digital Britain at the University of Cambridge. In 2022, the DT Hub transitioned to a multi-sector Industry and Catapult Network partnership housed at the Connected Places Catapult.
Cameron, Sarah, van-Manen, Peter, Sutherland, Hayden, Otoo, Joseph, Demba, Zion, Bevan, Heba, Selby, Carl, Baker, Angela, Morrissey, Clare, Roensdorf, Carsten, Friel, Anne-Marie, Cook, Tim, Ford, Chris J., Lang, Carolyn, Matheson, David, Veitch, James, Brumpton, Karen   +16 more
core  

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

FEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas, Brigitta Maruzs, Zsófia E. Kálmán, Tomas Klumpler, Gyula Batta, Bálint Péterfia, Zoltán Gáspári   +6 more
wiley   +1 more source

Multimodal ultra-short-term probabilistic solar power forecasting with generative AI and Transformer

Advances in Applied Energy
Solar power is one of the most widely adopted forms of renewable energy, with its usage rapidly increasing in recent years. However, solar power generation is highly sensitive to environmental factors, leading to frequent fluctuations. These fluctuations
Binyu Xiong, Yuntian Chen, Xin Zhao, Zhongyue Su, Jun Fu, Dali Chen, Dongxiao Zhang   +6 more
doaj   +1 more source

Digital twin data: methods and key technologies [version 2; peer review: 4 approved]

Digital Twin, 2022
As a promising technology to converge the traditional industry with the digital economy, digital twin (DT) is being investigated by researchers and practitioners across many different fields. The importance of data to DT cannot be overstated.
Ang Liu, Meng Zhang, Lihui Wang, Fei Tao, Biqing Huang, A. Y. C. Nee, Nabil Anwer   +6 more
doaj   +1 more source