Results 41 to 50 of about 96,720 (286)
Minimum energy broadcasting algorithm in wireless sensor networks
Tongxin xuebao, 2007 In order to adjust the transmission power of nodes for minimizing total energy consumption in wireless sensor networks,a new distributed algorithm called ERBOP（enhanced relative neighborhood graph broadcast oriented protocol） was proposed which was an ...
TANG Yong, ZHOU Ming-tian
doaj +2 more sources
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
GSTAformer: Graph-Guided Spatio-Temporal Autoformer for Mid-Term Wind Power Forecasting
EnergiesAccurate wind power forecasting is crucial for modern power systems, yet most deep learning models neglect spatial relationships between turbines.
Shi Yuan +5 more
doaj +1 more source
Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks [PDF]
SHS Web of ConferencesMoney laundering remains a significant global issue, undermining financial stability and security. This study introduces a Self-Attention-GNN Model enhanced with a self-attention mechanism to improve the detection of money laundering activities in a ...
Yu Qian, Wang Sizhe, Tao Yixin
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
The surprising power of graph neural networks with random node initialization
, 2021 Graph neural networks (GNNs) are effective models for representation learning on relational data. However, standard GNNs are limited in their expressive power, as they cannot distinguish graphs beyond the capability of the Weisfeiler-Leman graph ...
Abboud, Ralph +7 more
core +1 more source
Frontiers in Neuroscience, 2018 Resting state (RS) connectivity has been increasingly studied in healthy and diseased brains in humans and animals. This paper presents a new method to analyze RS data from fMRI that combines multiple seed correlation analysis with graph-theory (MSRA ...
Silke Kreitz +4 more
doaj +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Research on a recognition method of main components of electric power towers using knowledge graph
Zhejiang dianliThe image recognition of the main components of electric power towers is a primary focus of UAV inspections， as accurately identifying these tower components holds significant value for ensuring the smooth operation of power grids.
CHEN Zhizhong +6 more
doaj +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source