Results 51 to 60 of about 3,761,116 (301)
LPG-Based Knowledge Graphs: A Survey, a Proposal and Current Trends
A significant part of the current research in the field of Artificial Intelligence is devoted to knowledge bases. New techniques and methodologies are emerging every day for the storage, maintenance and reasoning over knowledge bases.
Davide Di Pierro +2 more
doaj +1 more source
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 +5 more
wiley +1 more source
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
Child growth trends are used to compare weight gain and body length or height with standard weight gain and body length or height gain. Based on data from the 2021 Indonesian Nutrition Status Survey (SSGI) in North Sumatra Province in Madina Regency ...
Yessi Septia Tampubolon +2 more
doaj +1 more source
Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer
In online product review systems, users are allowed to submit reviews about their purchased items or services. However, fake reviews posted by fraudulent users often mislead consumers and bring losses to enterprises. Traditional fraud detection algorithm
Songkai Tang, Luhua Jin, Fan Cheng
doaj +1 more source
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning [PDF]
Graph convolutional networks gain remarkable success in semi-supervised learning on graph-structured data. The key to graph-based semisupervised learning is capturing the smoothness of labels or features over nodes exerted by graph structure.
Bingbing Xu +4 more
semanticscholar +1 more source
Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang +8 more
wiley +1 more source
Event-Triggered Consensus Control of Nonlinear Strict Feedback Multi-Agent Systems
In this paper, we investigate the event-triggered consensus problems of nonlinear strict feedback MASs under directed graph. Based on the high-gain control technique, we firstly give a state-based event-triggered consensus algorithm and prove that Zeno ...
Jiaojiao Zhuang +3 more
doaj +1 more source
Time after time – circadian clocks through the lens of oscillator theory
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Graph learning considering dynamic structure and random structure
Graph data is an important data type for representing the relationships between individuals, and many research works are conducted based on graph data.
Haiyao Dong +5 more
doaj +1 more source

