Results 111 to 120 of about 11,963 (142)

Incrementing the Frequency of Dynamic Strain on SMC-Cellularised Collagen-Based Scaffolds Affects Extracellular Matrix Remodeling and Mechanical Properties

ACS Biomaterials Science & Engineering, 2017
Notwithstanding the efforts injected in vascular tissue engineering in the past 30 years, the clinical translation of engineered artery constructs is far from being successful. One common approach to improve artery regeneration is the use of cyclic mechanical stimuli to guide cellular remodeling. However, there is a lack of information on the effect of
Luc Lévesque, Caroline Loy, Antoine Lainé, Bernard Drouin, Pascale Chevallier, Diego Mantovani   +5 more
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Effektivität und Nutzung optionaler Lernhilfen: Ein Vergleich von gestuften Hilfen, Prompts und Lösungsbeispielen in einer Lerneinheit zum Thema phylogenetische Stammbäume / Effectiveness and use of optional support: A comparison of incremental scaffolds, prompts, and worked-out examples in an intervention on phylogenetic trees

Effectiveness and use of optional support: A comparison of incremental scaffolds, prompts, and worked-out examples in an intervention on phylogenetic trees Information In an experimental study using a pretest-posttest design, it was investigated whether incremental scaffolds, incremental prompts and incremental worked-out examples differ in their ...
Jörg Großschedl, Roxanne Gutowski
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Urban stream daylighting as a nature-based solution: transformative or incremental? A scaffolded review of Seoul’s Cheonggyecheon and Zürich’s Bächkonzept

Journal of Environmental Planning and Management
Luna Khirfan
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Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm

IEEE Transactions on Fuzzy Systems, 2015
This paper outlines our proposal for a novel metacognitive-based scaffolding classifier, namely recurrent classifier (rClass). rClass is capable of emulating three fundamental pillars of human learning in terms of what-to-learn, how-to-learn, and when-to-learn.
Mahardhika Pratama, Sreenatha G. Anavatti, Jie Lu   +2 more
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An incremental meta-cognitive-based scaffolding fuzzy neural network

Neurocomputing, 2016
The idea of meta-cognitive learning has enriched the landscape of evolving systems, because it emulates three fundamental aspects of human learning: what-to-learn; how-to-learn; and when-to-learn. However, existing meta-cognitive algorithms still exclude Scaffolding theory, which can realize a plug-and-play classifier.
Mahardhika Pratama, Jie Lu, Sreenatha Anavatti, Edwin Lughofer, Chee-Peng Lim   +4 more
openaire   +2 more sources

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg, William L Hwang, Anirban Maitra   +2 more
exaly  

Enhancing students‘ intrinsic motivation by using digital incremental scaffolds during experimentation in biology class

2023
Kleinert, Svea, Großmann, Nadine, Kaiser, Lisa-Maria, Kirchhoff, Tim, Wilde, Matthias   +4 more
openaire   +1 more source

Oral complications of cancer and cancer therapy

Ca-A Cancer Journal for Clinicians, 2012
Joel B Epstein, Rene-Jean Bensadoun, Andrei Barasch   +2 more
exaly