Results 81 to 90 of about 9,004,624 (359)
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Approaches to the choice of tools for adaptive learning based on highlighted selection criteria
CTE Workshop Proceedings, 2021 The article substantiates the relevance of adaptive learning of students in the modern information society, reveals the essence of such concepts as “adaptability” and “adaptive learning system”.
Yaroslava B. Sikora +4 more
doaj +1 more source
An adaptive learning particle swarm optimizer for function optimization [PDF]
, 2009 This article is posted here with permission of the IEEE - Copyright @ 2009 IEEETraditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima.
Yang, S +5 more
core +1 more source
Adaptive Social Learning [PDF]
SSRN Electronic Journal, 2016 The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly interact in social-learning settings with distinct information structures. In each round of interaction, they use their experience gained in past rounds to draw inferences from their predecessors’ current decisions. Such adaptation yields
openaire +3 more sources
Learning to learn with active adaptive perception [PDF]
Neural Networks, 2019 Increasingly, autonomous agents will be required to operate on long-term missions. This will create a demand for general intelligence because feedback from a human operator may be sparse and delayed, and because not all behaviours can be prescribed. Deep neural networks and reinforcement learning methods can be applied in such environments but their ...
David M. Bossens +2 more
openaire +3 more sources
Adaptive learning of compressible strings
Theoretical Computer Science, 2021 Accepted for publication in Theoretical Computer ...
Fici G., Prezza N., Venturini R.
openaire +4 more sources
FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system
FEBS Open Bio, EarlyView.An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková +3 more
wiley +1 more source
Evaluation of social personalized adaptive E-Learning environments : end-user point of view [PDF]
The use of adaptations, along with the social affordances of collaboration and networking, carries a great potential for improving e-learning experiences.
Awan, M. S. K. (Malik Shahzad K.) +2 more
core +1 more source
Counting Crowds with Perspective Distortion Correction via Adaptive Learning
Sensors, 2020 The goal of crowd counting is to estimate the number of people in the image. Presently, use regression to count people number became a mainstream method.
Yixuan Sun +4 more
doaj +1 more source