Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Bert JA"'
Autor:
Wendy P. Geuverink, Janneke T. Gitsels, Martina C. Cornel, Bert Jan Lietaert Peerbolte, Christina Prinds, Carla G. van El, Linda Martin
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract The implementation of the noninvasive prenatal test has shown the importance of involving future care providers in healthcare innovations at an early stage. Therefore, in this explorative study in-depth interviews were performed with Dutch m
Externí odkaz:
https://doaj.org/article/301f66b0aa9f4bd38a005d7d4da819fe
Autor:
Laura Bégon‐Lours, Stefan Slesazeck, Donato Francesco Falcone, Viktor Havel, Ruben Hamming‐Green, Marina Martinez Fernandez, Elisabetta Morabito, Thomas Mikolajick, Bert Jan Offrein
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 5, Pp n/a-n/a (2024)
Abstract In artificial neural networks, the “synaptic weights” connecting the neurons are adjusted during the training. Beyond silicon, functionalizing the back‐end‐of‐line (BEOL) of CMOS circuits with novel materials is a key enabler for d
Externí odkaz:
https://doaj.org/article/cc53c747321341ec83b40a6a337fe156
Autor:
Wendy Geuverink, Carla van El, Martina Cornel, Bert Jan Lietaert Peerbolte, Janneke Gitsels, Linda Martin
Publikováno v:
Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract Human genome editing technologies are advancing at a rapid pace, and their potential disruptive implications lead to ethical and societal questions that cannot be addressed by scientists alone. Further consideration of different stakeholders
Externí odkaz:
https://doaj.org/article/5b9766ce696b4943bf254fb65dbf1973
Autor:
Mattia Halter, Laura Bégon-Lours, Marilyne Sousa, Youri Popoff, Ute Drechsler, Valeria Bragaglia, Bert Jan Offrein
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-8 (2023)
Brain-inspired neuromorphic computing is a key technology for processing an ever-growing amount of data. Here, an artificial synapse with dual resistance modulation mechanisms is demonstrated, achieving a dynamic range of 60, an endurance exceeding 1
Externí odkaz:
https://doaj.org/article/8f4acd7863994ad7a59123d6dd57de55
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/6ba3bd5e16cf40b2b36724fd1ff62d41
Autor:
Marta Gòdia, Louise Brogaard, Emilio Mármol-Sánchez, Rebecca Langhorn, Ida Nordang Kieler, Bert Jan Reezigt, Lise Nikolic Nielsen, Lisbeth Rem Jessen, Susanna Cirera
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0270067 (2022)
MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression at the post-transcriptional level. miRNAs have been found in urine and have shown diagnostic potential in human nephropathies. Here, we aimed to characterize, for the first ti
Externí odkaz:
https://doaj.org/article/abab0607957d4bca83ed871e7d0ead32
Publikováno v:
Physics Letters B, Vol 795, Iss , Pp 42-48 (2019)
We study non-trivial (i.e. non-Levi-Civita) connections in metric-affine Lovelock theories. First we study the projective invariance of general Lovelock actions and show that all connections constructed by acting with a projective transformation of t
Externí odkaz:
https://doaj.org/article/2e41bb3ee95e4011ad5bde2498c3d566
Autor:
Charlotte B. Schmidt, Ilse Voorhorst, Vital H. W. van de Gaar, Anne Keukens, Bert Jan Potter van Loon, Frank J. Snoek, Adriaan Honig
Publikováno v:
BMC Pregnancy and Childbirth, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background Around 12% of pregnant women develop gestational diabetes mellitus (GDM), which is associated with increased health risks for both mother and child and pre- and postpartum depression. Little is known about the relationship of GDM
Externí odkaz:
https://doaj.org/article/a815d427d127402b8a27753fb5220eb6
Autor:
Bert Janssen, Alejandro Jiménez-Cano
Publikováno v:
Physics Letters B, Vol 786, Iss , Pp 462-465 (2018)
We present a framework in which the projective symmetry of the Einstein–Hilbert action in metric-affine gravity is used to induce an effective coupling between the Dirac lagrangian and the Maxwell field. The effective U(1) gauge potential arises as
Externí odkaz:
https://doaj.org/article/c21bf4b8758f48b4855b6ffd4aa75ac4
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Neuromorphic systems are designed with careful consideration of the physical properties of the computational substrate they use. Neuromorphic engineers often exploit physical phenomena to directly implement a desired functionality, enabled by “the
Externí odkaz:
https://doaj.org/article/36f5f0c7161d42c99a2793340a478444