Results 51 to 60 of about 1,934,537 (295)

Feedback Collection and Nearest-Neighbor Profiling for Recommendation Systems in Healthcare Scenarios

Technologies
The rise in the dimension and complexity of information generated in the clinical field has motivated research on the automation of tasks in personalized healthcare.
João António, Ricardo Malheiro, Sandra Jardim   +2 more
doaj   +1 more source

Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification

Remote Sensing, 2021
Reality capture technologies, also known as close-range sensing, have been increasingly popular within the field of engineering geology and particularly rock slope management.
Ioannis Farmakis, David Bonneau, D. Jean Hutchinson, Nicholas Vlachopoulos   +3 more
doaj   +1 more source

Concurrent Knowledge-Extraction in the Public-Key Model [PDF]

, 2009
Knowledge extraction is a fundamental notion, modelling machine possession of values (witnesses) in a computational complexity sense. The notion provides an essential tool for cryptographic protocol design and analysis, enabling one to argue about the ...
Yao, Andrew C., Yung, Moti, Zhao, Yunlei
core   +2 more sources

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Identifying the Regions of a Space with the Self-Parameterized Recursively Assessed Decomposition Algorithm (SPRADA)

Machine Learning and Knowledge Extraction, 2023
This paper introduces a non-parametric methodology based on classical unsupervised clustering techniques to automatically identify the main regions of a space, without requiring the objective number of clusters, so as to identify the major regular states
Dylan Molinié, Kurosh Madani, Véronique Amarger, Abdennasser Chebira   +3 more
doaj   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Cost-Effective Knowledge Extraction Framework for Low-Resource Environments

IEEE Access
Extracting knowledge from texts is crucial for enriching everyday knowledge. Constructing a knowledge extraction environment requires comprehensive processes, such as data generation, data processing, and model and framework design.
Sangha Nam, Eun-Kyung Kim
doaj   +1 more source

Requirements for Information Extraction for Knowledge Management [PDF]

, 2003
Knowledge Management (KM) systems inherently suffer from the knowledge acquisition bottleneck - the difficulty of modeling and formalizing knowledge relevant for specific domains.
Cimiano, Philipp, Ciravegna, Fabio, Domingue, John, Handschuh, Siegfried, Lavelli, Alberto, Staab, Steffen, Stevenson, Mark   +6 more
core  

AAA+ protein unfoldases—the Moirai of the proteome

FEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

A Methodology to Extract Knowledge from Datasets Using ML

Mathematics
This study aims to verify whether there is any relationship between the different classification outputs produced by distinct ML algorithms and the relevance of the data they classify, to address the problem of knowledge extraction (KE) from datasets. If
Ricardo Sánchez-de-Madariaga, Mario Pascual Carrasco, Adolfo Muñoz Carrero   +2 more
doaj   +1 more source