Results 41 to 50 of about 34,425 (259)

Strong Photoluminescence Enhancement in All‐Dielectric Ge Thin Film Metasurfaces for Integration on the Si Platform

Advanced Optical Materials, EarlyView.
Germanium (Ge) all‐dielectric metasurfaces can be leveraged to strongly enhance the radiative emission from Ge layers grown on silicon‐on‐insulator substrates by industry‐standard processes. At room‐temperature, the narrowband photoluminescence (PL) intensity is enhanced by a factor ∼40× with respect to unstructured films.
Jon Schlipf, Diana Ryzhak, Giovanni Capellini, Paul Oleynik, Oliver Skibitzki, Yuji Yamamoto, Inga A. Fischer   +6 more
wiley   +1 more source

From Ambition to Action: Barriers and Enablers for the Inclusion of Indigenous Peoples and Local Communities in the Kunming–Montreal Biodiversity Framework and the Role of Non‐State Bridge Organizations

Advanced Science, EarlyView.
Graphical abstract illustrating the transition from global biodiversity ambition to on‐the‐ground implementation of the Kunming–Montreal Global Biodiversity Framework after COP16, highlighting the roles of governments, non‐state actors, scientific knowledge systems, and resource mobilization in achieving transformative biodiversity outcomes.
Susan Enechojo Ogbe, Jinfeng Zhou, Linda Wong, Jiachen Gao   +3 more
wiley   +1 more source

The Relation of the EU Law and the Nuclear Liability Legislation: Possibilities, Limits and Mutual Interaction [PDF]

Societas et Iurisprudentia, 2014
The authors of the paper deal with the legal relations of nuclear liability in their narrow meaning, i.e. specifically they deal with the civil law relationships for the nuclear damage caused by the nuclear incident that are, due to their specific ...
Marianna Novotná, Peter Varga
doaj  

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

FOS3D: A Fluorescence‐Enabled Toolkit for Characterizing a Three‐dimensional Osteosarcoma Model

Advanced Science, EarlyView.
FOS3D describes fluorescent (F) osteosarcoma (OS) cells in a tri‐dimensional (3D) model. The study comprises three phases: development, where biofabrication parameters are tuned to achieve cytocompatibility and tumor‐specific mechanical properties in cell‐laden gelatin methacryloyl constructs; validation, where whole‐well fluorescence reading is ...
William Humble, Wiktor Zywicki, Enrico Lucarelli, Ania Naila Guerrieri, Francesca Taraballi, Gianluca Cidonio, Claudia Di Bella, Carmine Onofrillo, Andrea J. O'Connor, Serena Duchi   +9 more
wiley   +1 more source

Complications after medullary thyroid carcinoma surgery: multicentre study of the SQRTPA and EUROCRINE® databases

BJS (British Journal of Surgery), EarlyView., 2020
This study investigated postoperative complications after surgery for medullary thyroid carcinoma (MTC) in Europe. Hypoparathyroidism, recurrent laryngeal nerve palsy and bleeding requiring reoperation occurred in 170 (26·2 per cent), 62 (13·7 per cent) and 17 (2·6 per cent) patients respectively.
D.‐J. van Beek, M. Almquist, A. O. Bergenfelz, T. J. Musholt, E. Nordenström, on behalf of the EUROCRINE® Council, M. Almquist, M. Barczynski, L. Brunaud, T. Clerici, M. H. Hansen, M. Iacobone, Ö. Makay, F. F. Palazzo, N. Muñoz‐Pérez, M. Raffaelli, P. Riss, S. van Slycke, M. R. Vriens   +18 more
wiley   +1 more source

From Circuits to Symphonies: A Systems‐Engineering Blueprint for Multimicrobial Synthetic Biology

Advanced Science, EarlyView.
Engineering synthetic microbial consortia requires moving beyond intracellular genetic circuits toward coordinated multicellular design. A modular systems‐engineering framework is presented that integrates communication, temporal coordination, ecological structuring, and predictive modeling to guide application‐dependent consortium design ...
Miguel Fernández‐Niño, Ludger A. Wessjohann, José Manuel Guillamón, Daniela Burgos‐Toro, Silvia Moriano‐Gutiérrez, Giacomo Di Matteo, Zia‐ul Islam, Rinke van van Tatenhove‐Pel, Vanessa Rossetto Marcelino, Rodrigo Ledesma‐Amaro   +9 more
wiley   +1 more source

Reflections on the possible application of Rome I Regulation to obligations related to crypto-assets

Ruch Prawniczy, Ekonomiczny i Socjologiczny
Regulation No. 2023/1114 of the European Parliament and Council of 31 May 2023 on cryptoasset markets is a crucial component of financial market regulation that has significantly contributed to increasing the legal security of its participants.
Michał Mariański
doaj   +1 more source

Effects of Doping, Disorder, and Compensation on Electron Conduction in Si‐Doped k‐Ga2O3 Close to the Metal‐to‐Insulator Transition

Advanced Electronic Materials, EarlyView.
Self‐compensation effects attributed to doping‐dependent shift‐defects at APBs Validation of Hall data for VRH transport near the MIT Persistence of VRH transport for any SiH4 flow in Si‐doped κ‐Ga2O3 due to high compensation coupling transport and EPR data as strategy to study electronic properties and doping T‐dependence of transport data agrees with
Antonella Parisini, Hans Jürgen von Bardeleben, Ildicò Cora, Zsolt Fogarassy, Paola Alippi, Vincenzo Fiorentini, Ian Vickridge, Piero Mazzolini, Alessio Bosio, Roberto Fornari   +9 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source