Results 91 to 100 of about 981,305 (342)

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 more
wiley   +1 more source

Video Game Self-efficacy and its Effect on Training Performance

open access: yesInternational Journal of Serious Games, 2015
This study examined the effects of using serious games for training on task performance and declarative knowledge outcomes. The purpose was to determine if serious games are more effective training tools than traditional methods.
Skilan A. Ortiz   +2 more
doaj   +1 more source

PEDOT‐Based Eutectogel Electrode Arrays for Enhanced High‐Resolution Electrogastrography: Fabrication, Stability, and Wearable Performance

open access: yesAdvanced Functional Materials, EarlyView.
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter   +8 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Broadening the interface bandwidth in simulation based training [PDF]

open access: yes
Currently most computer based simulations rely exclusively on computer generated graphics to create the simulation. When training is involved, the method almost exclusively used to display information to the learner is text displayed on the cathode ray ...
Somers, Larry E.
core   +1 more source

Solar Heating Enhanced Selective Recovery of Metal Ions Through Flowing Electrodes Enabled by Hybrid Carbon Nanostructures

open access: yesAdvanced Functional Materials, EarlyView.
A new electrochemical system based on a microporous hybrid of carbon nanoplatelets and nanotubes to selectively capture Ni2+ from wastewater is constructed. The system temperature rises rapidly when irradiated with sunlight, which enhances the Ni2+ removal rate by 250% and the selectivity by 53%, and the energy consumption is also reduced by 51 ...
Ziquan Wang   +11 more
wiley   +1 more source

Exploring trainee experiences in a structured virtual reality laparoscopic training programme for general surgeons: a longitudinal case study

open access: yesAdvances in Simulation
Background The acquisition and maintenance of technical skills in surgical specialties has become increasingly challenging for postgraduate trainees, exacerbated by factors such as the shift from traditional apprenticeship models, reduced operative time,
Aditi Siddharth   +4 more
doaj   +1 more source

Optimizing University Program Selection: A Comparative Study of Multi-Criteria Methods [PDF]

open access: yesE3S Web of Conferences
This paper aims to present a comparative study of multi-criteria decision-making methods to optimize the selection of university programs. The results of implementing five MCDM methods are compared by evaluating each method using a hierarchical model ...
Daghouri Ansar, Mansouri Khalifa
doaj   +1 more source

Recurrent Neural Network Based Narrowband Channel Prediction

open access: yes, 2006
In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction.
Hanzo, L., Liu, W., Yang, L-L.
core  

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