Results 161 to 170 of about 744,901 (308)

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.3.1

<h1>v0.3.1 (2024-01-15)</h1> <h2>Documentation</h2> <ul> <li>docs: added execute flag (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit/ea0e9ca6329a062c229d6157005f68cca4b98f15 ...
Lasse Hansen, Márton Kardos, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Fully Additive Vertical Organic Electrochemical Transistors on Renewable and Compostable Substrates Enable Ultrasensitive Bioelectronics

Advanced Functional Materials, EarlyView.
Fully additive vertical organic electrochemical transistors (vOECTs) with channel‐length of 226 nm on a 50 µm compostable substrate achieve >106 current modulation and ∼36 mS transconductance. Ion‐selective integration enables 1.1 mA dec−1 sensitivity and 36 µm detection limit, highlighting a scalable platform for sustainable electronics and ...
Giulia Frusconi, Samuele Lavelli, Zsolt M. Kovács‐Vajna, Fabrizio Torricelli   +3 more
wiley   +1 more source

Reproducible floating car data monitoring for data-scarce highway corridors: A TomTom-HERE benchmark study. [PDF]

PLoS One
Sun W, Mokhtar SB, Li R, Zou Z.
europepmc   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.12.1

<h1>v0.12.1 (2024-02-15)</h1> <h2>Documentation</h2> <ul> <li>docs: Added dataset disclaimer (#145) (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Bio‐Inspired Synthesis of Macroporous Single Crystal Particles as Scattering Agents

Advanced Functional Materials, EarlyView.
A general strategy is presented that delivers unique, single‐crystal microparticles that combine submicron macroporosity and uniform particle shapes. A bioinspired approach is used to occlude three distinct types of additives – polystyrene microspheres, polymer vesicles and amino acids – within calcite single crystals, and subsequent thermal annealing ...
Stephanie E. Foster, Gianni Jacucci, Ouassef Nahi, Thomas Kress, Zabeada Aslam, Stuart Micklethwaite, Alexander N. Kulak, Rik Drummond‐Brydson, Melinda J. Duer, Yi‐Yeoun Kim, Silvia Vignolini, Fiona C. Meldrum   +11 more
wiley   +1 more source

A streamlined pathway for transcatheter aortic valve implantation: the BENCHMARK study

Background and Aims There is significant potential to streamline the clinical pathway for patients undergoing transcatheter aortic valve implantation (TAVI).
Durand, Eric, Vasa-Nicotera, Mariuca, Bouchayer, Damien, Spence, Mark, Wood, David, de la Bandera Sanchez, Maria Carmen, Lauck, Sandra, Muir, Douglas F, for the BENCHMARK Investigator Group, Saia, Francesco, Urbano-Carrillo, Cristóbal A, Frank, Derk   +11 more
core   +1 more source

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

Advanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.9.2

<h1>v0.9.2 (2024-01-26)</h1> <h2>Ci</h2> <ul> <li>ci: Updated lint workflow to actually fail when not linted (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Benchmark-grounded self-supervised contrastive learning for AMI-based distribution grid monitoring. [PDF]

Front Artif Intell
Zhang L, Yang B, Ke X, Zhao H, Zhang W, Yao Y.   +5 more
europepmc   +1 more source