Results 121 to 130 of about 3,595,676 (296)
Adaptive learning on mobile network traffic data
Connection Science, 2019 Machine learning based mobile traffic classification has become a popular topic in recent years. As mobile traffic data is dynamic in nature, the static model has become ineffective for the task of classifying future traffic. This is known as the concept
Zhen Liu +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 +2 more
wiley +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Trans Utopianism and the Utopia of Transness in Leslie Feinberg’s Stone Butch Blues [PDF]
, 2019 Theory can sometimes only find its synthesis in fiction. The debate within queer theory between the anti-social and the utopian has been dominating discourse for nearly a decade.
core +1 more source
IEEE AccessLifestyle diseases such as diabetes manifest through subtle and non-stationary clinical patterns, posing significant challenges for real-time prediction and monitoring.
B. S. Prashanth +6 more
doaj +1 more source
Boosting Classifiers for Drifting Concepts [PDF]
This paper proposes a boosting-like method to train a classifier ensemble from data streams. It naturally adapts to concept drift and allows to quantify the drift in terms of its base learners.
Klinkenberg, Ralf, Scholz, Martin
core
FEBS 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
Multi-Cat Monitoring System Based on Concept Drift Adaptive Machine Learning Architecture. [PDF]
Sensors (Basel), 2023 Cho Y +7 more
europepmc +1 more source