Results 61 to 70 of about 96,071 (258)

A power network anomaly alarm denoising method based on a hybrid LSTM-attention model

Alexandria Engineering Journal
Power grid fault alarms play a crucial role in minimizing system damage and service disruptions. However, existing deep learning approaches frequently neglect the topological structure and physical characteristics of power system data, leading to ...
Mingfei Zeng, Yuting Lian
doaj   +1 more source

ADP‐ribosylation: An emerging regulator of the epigenome

Molecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho, Chenqian Liu, W. Lee Kraus   +2 more
wiley   +1 more source

Optimal performance of a self-healing microgrid

IET Smart Grid, 2019
This study proposes a multi-objective binary differential evolution algorithm to reconfigure the system and restore the loads within the stand-alone microgrid.
Sheetal Chandak, Pravat Kumar Rout
doaj   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Reactive Power Optimization of a Distribution Network Based on Graph Security Reinforcement Learning

Applied Sciences
With the increasing integration of renewable energy, the secure operation of distribution networks faces significant challenges, such as voltage limit violations and increased power losses.
Xu Zhang, Xiaolin Gui, Pei Sun, Xing Li, Yuan Zhang, Xiaoyu Wang, Chaoliang Dang, Xinghua Liu   +7 more
doaj   +1 more source

Lambda number of the enhanced power graph of a finite group

Journal of Algebra and Its Applications
The enhanced power graph of a finite group [Formula: see text] is the simple undirected graph whose vertex set is [Formula: see text] and two distinct vertices [Formula: see text] are adjacent if [Formula: see text] for some [Formula: see text]. An [Formula: see text]-labeling of graph [Formula: see text] is an integer labeling of [Formula: see text ...
null Parveen, Sandeep Dalal, Jitender Kumar   +2 more
openaire   +3 more sources

The rainbow connection number of enhanced power graph

, 2017
Let $G$ be a finite group, the enhanced power graph of $G$, denoted by $Γ_G^e$, is the graph with vertex set $G$ and two vertices $x,y$ are edge connected in $Γ_{G}^e$ if there exist $z\in G$ such that $x,y\in\langle z\rangle$. Let $ζ$ be a edge-coloring of $Γ_G^e$. In this article, we calculate the rainbow connection number of the enhanced power graph
Dupont, Luis A., Mendoza, Daniel G., Rodríguez, Miriam   +2 more
openaire   +2 more sources

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source

Adaptive multi-channel topology-augmented graph neural networks for secure node classification in API-based power systems

Journal of Engineering and Applied Science
Graph neural network models have demonstrated strong effectiveness across a wide range of graph-oriented learning problems. In complex cyber-physical environments like smart grids, component interactions and multi-domain data exchanges are typically ...
Xuhua Ai, Yiting Huang, Qi Meng, Zijian Lin, Yun Dong, Yuan Yin   +5 more
doaj   +1 more source

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

FEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill, Hassan Yousef Othman AlMuallim, Elouisa Maddock, Carl Hobbs, Earl Clarke, Maria B. Goncalves, Jonathan P. T. Corcoran   +6 more
wiley   +1 more source