Gilormini, A review on the Mullins effect. European Polymer Journal, 2009. 45(3): pp. 601-612.Diani J, Fayolle B, Gilormini P. A review on the mullins effect. Eur Polym J 2009;45(3):601-12.Diani, J., Fayolle, B., Gilormini, P.: A review on the mullins effect. Eur. ...
Diani J, Fayolle B, Gilormini P (2009) A review on the Mullins effect. Eur Polym J 45(3):601–612 CASGoogle Scholar Mai Y-W, Yu Z-Z (2006) Polymer nanocomposites. Woodhead Publishing, Cambridge Google Scholar Kropka JM, Putz KW, Pryamitsyn V, Ganesan V, Green PF (2007) Origin ...
Gilormini A review on the Mullins effect Eur. Polym. J., 45 (2009), 10.1016/j.eurpolymj.2008.11.017 Google Scholar [67] S.S. Sternstein, A.-J. Zhu Reinforcement mechanism of nanofilled polymer melts as elucidated by nonlinear viscoelastic behavior Macromolecules, 35 (2002), pp. 7262-...
. Deep learning (DL), as one of the most recent generation of AI technologies, has demonstrated superior performance in many real-world applications ranging from computer vision to healthcare. The goal of this study is to review existing research on applications of DL algorithms in mental health...
The rising negative effects of climate change are caused mainly by the increase of atmospheric carbon dioxide concentrations, calling for advanced technologies to extract carbon dioxide from atmospheric air. Here we review carbon dioxide capture from atmospheric air by amine-functionalized silica composites...
Delivery of very small amounts of reagents to the near-field of cells with micrometer spatial precision and millisecond time resolution is currently out of reach. Here we present μkiss as a micropipette-based scheme for brushing a layer of small molecul
Mehta NS, Mytton OT, Mullins EWS, et al. SARS-CoV-2 (COVID-19): what do we know about children? a systematic review. Clin Infect Dis. Published May 11, 2020;ciaa556. doi:10.1093/cid/ciaa556PubMedGoogle Scholar 103. Posfay-Barbe KM, Wagner N, Gauthey M...
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review. [pdf] Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Anmin Fu, Surya Nepal, and Hyoungshick Kim. arXiv, 2020. Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. [pdf] Micah Go...
Deontological and teleological evaluations are widely utilized in the context of consumer decision-making. Despite their use, the differential effect of th
In this Perspective, we integrate alternative reinforcers into the contemporary behavioural economic account of harmful drug use — the contextualized reinforcer pathology model — and review empirical literature across the translational spectrum in support of this model. Furthermore, we consider how ...