Results 31 to 40 of about 6,218,680 (291)

Research on CNN-LSTM DC power system fault diagnosis and differential protection strategy based on reinforcement learning

open access: yesFrontiers in Energy Research, 2023
Introduction: With the development of artificial intelligence technology, more and more fields are applying deep learning and reinforcement learning techniques to solve practical problems.
Yun Yang   +4 more
doaj   +1 more source

Discerning protein pools by selective staining with self‐labeling tags

open access: yesFEBS Letters, EarlyView.
Cell surface proteins have an intra‐ and extracellular pool. Combining genetic fusion to self‐labeling tags that can be addressed with small molecule fluorophores allows separating these pools. We highlight recent developments and techniques for state‐of‐the‐art interrogation of cell surface proteins in the complex tissue setting.
Kati Fischermanns, Johannes Broichhagen
wiley   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

MLPNN and Ensemble Learning Algorithm for Transmission Line Fault Classification

open access: yesInternational Transactions on Electrical Energy Systems
Recently, Bangladesh experienced a system loss of 11.11%, leading to significant power cuts, largely due to faults in power transmission lines. This paper proposes the XGBoost machine learning method for classifying electric power transmission line ...
Tanbir Rahman   +4 more
doaj   +1 more source

Analysis of the Impact of Short Circuit Faults in Converter Valve Submodules on Valve Power Transmission

open access: yesEnergies
Faults of a Modular Multilevel Converter (MMC)-type converter valve significantly impact the reliability of flexible DC transmission systems. This paper analyzed the impact of ongoing short circuit faults in submodules on the power transmission of the ...
Yirun Ji   +6 more
doaj   +1 more source

Research on Adaptive Power Transmission Line Fault Inspection

open access: yesIOP Conference Series: Earth and Environmental Science, 2021
Abstract Power transmission line is one of the most important infrastructures of power system, and its safety monitoring is of great significance. The conventional way of fault monitoring of power transmission lines by only setting threshold value on single temperature data of strain clamp turned out to multiple misjudgements and delayed
Jian Wu   +5 more
openaire   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

AC fault ride-through control strategy of MMC-UHVDC system with hierarchical connection mode

open access: yesFrontiers in Energy Research
The ultra-high voltage direct current (UHVDC) transmission composed of modular multilevel converters (MMC) is an important technology for large-scale centralized transmission of renewable energy.
Mingli Ping   +5 more
doaj   +1 more source

Fault detection in transmission networks of power systems

open access: yesInternational Journal of Electrical Power & Energy Systems, 2011
Abstract An online fault detection scheme for a sample power system is introduced in this paper. The detection approach is based on the use of a variable structure system called “sliding mode observer”, where information contained in the output measurements is utilized to detect the onset of faults in the transmission network of the sample power ...
S. Saha, M. Aldeen, C.P. Tan
openaire   +1 more source

The ubiquitin system in normal and infected germinal center B cells

open access: yesFEBS Letters, EarlyView.
The ubiquitin system plays a central role in germinal center (GC) B cells, influencing differentiation to long‐lived memory B cells. Oncogenic gammaherpesviruses gain access to memory B cells by establishing latency in GC B cells. Mapping ubiquitin mechanisms in normal and infected GC B cells will define specific molecular circuits in B cells germane ...
Destiny Davis   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy