Results 61 to 70 of about 461,060 (258)

Learning From the Features We Ignore: A Critical Perspective on Feature Engineering and the Role of Feature Learning in Learning Analytics

open access: yesIEEE Access
The integration of machine learning within educational environments has positioned learning analytics as a valuable approach for enhancing teaching and learning outcomes.
Dino Vlahek   +2 more
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

open access: yesFEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura   +2 more
wiley   +1 more source

Comparative Study of Feature Engineering Techniques for Predictive Data Analytics

open access: yesJournal of Technology Informatics and Engineering
In the rapidly evolving era of big data, predictive analytics has become a crucial approach in supporting data-driven decision-making across various sectors such as finance, healthcare, and marketing.
Lukman Santoso, Priyadi
doaj   +1 more source

Feature engineering for sentiment analysis in e-health forums.

open access: yesPLoS ONE, 2018
IntroductionExploiting information in health-related social media services is of great interest for patients, researchers and medical companies. The challenge is, however, to provide easy, quick and relevant access to the vast amount of information that ...
Jorge Carrillo-de-Albornoz   +2 more
doaj   +1 more source

Feature Engineering for Mid-Price Prediction With Deep Learning

open access: yesIEEE Access, 2019
Mid-price movement prediction based on the limit order book data is a challenging task due to the complexity and dynamics of the limit order book. So far, there have been very limited attempts for extracting relevant features based on the limit order ...
Adamantios Ntakaris   +4 more
doaj   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

open access: yesFEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz   +11 more
wiley   +1 more source

An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane

open access: yesFEBS Letters, EarlyView.
Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa   +3 more
wiley   +1 more source

Explainable Feature Engineering for Multi-class Money Laundering Classification [PDF]

open access: yesInformatică economică
This paper provides insight into typical money laundering typologies used in the financial crime domain and provides a concrete set of methods through the use of which fraudulent transactions may be classified using traditional machine learning ...
Petre-Cornel GRIGORESCU, Antoaneta AMZA
doaj   +1 more source

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