Results 91 to 100 of about 3,113,449 (308)

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

Quality Of Service pada Jaringan Multi Protocol Label Switching

Jurnal Teknik Industri, 2012
MPLS is a work plan that was given by IETF to repair work performance of IP network. Label switching label using forwarding mechanism which has connection oriented  characteristic make this technology become routing technology for future guarantec QoS ...
Muhammad Irfan, Lailis Syafa'ah
doaj   +1 more source

Multi-Label Feature Selection Based on High-Order Label Correlation Assumption

Entropy, 2020
Multi-label data often involve features with high dimensionality and complicated label correlations, resulting in a great challenge for multi-label learning.
Ping Zhang, Wanfu Gao, Juncheng Hu, Yonghao Li   +3 more
doaj   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

Multi-label Aspect Dangerous Speech Classification Using Keyword-Driven Ensemble Classifier on Imbalanced Data

JOIV: International Journal on Informatics Visualization
This study aims to detect various aspects of dangerous speech on social media, particularly Twitter, which has the potential to incite violence and increase prejudice against specific communities. The research dataset includes tweets containing dangerous
Yulian Findawati, Agus Budi Raharjo, Dini Adni Navastara, Vincent Yonathan, Anak Agung Yatestha, Diana Purwitasari   +5 more
doaj   +1 more source

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

FEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança, Eline L. Jansen, Jorine M. Eeftens   +2 more
wiley   +1 more source

Multi-Label Incremental Learning for State Prediction of Actuator Devices in Smart Homes

IEEE Open Journal of the Computer Society
The main aspects considered in smart homes (SHs) include activity classification, routine prediction, energy consumption reduction, and actuator-state prediction. SHs require highly responsive behavior whenever state changes are detected. In this context,
Mayki dos Santos Oliveira, Eduardo Ferreira da Silva, Denis Robson Dantas Boaventura, Joel Machado Pires, Isaque Santana Copque, Diego Correa da Silva, Ricardo Araujo Rios, Ivan do Carmo Machado, Cassio Vinicius Serafim Prazeres, Maycon Leone Maciel Peixoto, Gustavo Bittencourt Figueiredo, Eduardo Santana de Almeida, Frederico Araujo Durao   +12 more
doaj   +1 more source

A Multi Label Algorithm for K Shortest Paths Problem

Communications, 2009
The paper presents an algorithm for computing k shortest walks or k shortest paths in a directed graph G (V, A). The proposed algorithm can be applied for solving the k shortest paths problem in an undirected graph G (V, E), too, by transforming the ...
Stanislav Paluch
doaj   +1 more source

Collaboration Based Multi-Label Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2019
It is well-known that exploiting label correlations is crucially important to multi-label learning. Most of the existing approaches take label correlations as prior knowledge, which may not correctly characterize the real relationships among labels.
Lei Feng 0006, Bo An 0001, Shuo He 0001
openaire   +4 more sources

Evolving multi-label fuzzy classifier

Information Sciences, 2022
Multi-label classification has attracted much attention in the machine learning community to address the problem of assigning single samples to more than one class at the same time. We propose an evolving multi-label fuzzy classifier (EFC-ML) which is able to self-adapt and self-evolve its structure with new incoming multi-label samples in an ...
openaire   +3 more sources