Results 221 to 230 of about 7,718 (255)

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Artificial intelligence based personalized student feedback system -Sisu Athwala' to enhance exam performance of medical undergraduates. [PDF]

PLoS One
Seneviratne T, Manathunga S, Idirisingha W, Somaratne K, Marambe K, Dangahadeniya U.   +5 more
europepmc   +1 more source

Universal In Situ Isotope Exchange Raman Spectroscopy (IERS) Methodology for Measuring Oxygen Surface Exchange Dynamics Using a Probe Layer

Advanced Functional Materials, EarlyView.
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen, Francesco Chiabrera, Alexander Stangl, Laetitia Rapenne, Federico Baiutti, Carmen Jiménez, Albert Tarancón, Mónica Burriel   +7 more
wiley   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Collecting and Sharing Person-Centered AI Clinical Summaries Across Frailty Services Provided by the National Health Service and Voluntary, Community, and Social Enterprise: Protocol for a Co-Design and Feasibility Study.

JMIR Res Protoc
Green K, Asthana S, Ponce-Ponte OJ, Downey J, Watson J.   +4 more
europepmc   +1 more source

Evaluating clinical AI summaries with large language models as judges. [PDF]

NPJ Digit Med
Croxford E, Gao Y, First E, Pellegrino N, Schnier M, Caskey J, Oguss M, Wills G, Chen G, Dligach D, Churpek MM, Mayampurath A, Liao F, Goswami C, Wong KK, Patterson BW, Afshar M.   +16 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Advanced multiple document summarization via iterative recursive transformer networks and multimodal transformer. [PDF]

PeerJ Comput Sci
Ketineni S, Jayachandran S.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Extractive summarization of clinical trial descriptions

International Journal of Medical Informatics, 2019
Text summarization of clinical trial descriptions has the potential to reduce the time required to familiarize oneself with the subject of studies by condensing long-form detailed descriptions to concise, meaning-preserving synopses. This work describes the process and quality of automatically generated summaries of clinical trial descriptions using ...
Christian Gulden, Melanie Kirchner, Christina Schüttler, Marc Hinderer, Marvin Kampf, Hans-Ulrich Prokosch, Dennis Toddenroth   +6 more
openaire   +2 more sources