Results 121 to 130 of about 320,914 (291)

Automatic pairing of inertial sensors to lower limb segments – a plug-and-play approach

Current Directions in Biomedical Engineering, 2016
Inertial sensor networks enable realtime gait analysis for a multitude of applications. The usability of inertial measurement units (IMUs), however, is limited by several restrictions, e.g. a fixed and known sensor placement.
Graurock David, Schauer Thomas, Seel Thomas   +2 more
doaj   +1 more source

Electric Field‐Dependent Conductivity as Probe for Charge Carrier Delocalization and Morphology in Organic Semiconductors

Advanced Functional Materials, EarlyView.
Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani, Felix Maximilian Graf, Anton Kompatscher, Dennis Derewjanko, Martijn Kemerink   +4 more
wiley   +1 more source

Identifying treetops from aerial laser scanning data with particle swarming optimization

European Journal of Remote Sensing, 2018
In this study, the particle swarming optimization procedure was applied to parametrize two Local Maxima (LM) algorithms in order to extract treetops from LiDAR-data in a test area (10 km2) of heterogeneous forest structures of conifers in the Alps.
Silvia Franceschi, Andrea Antonello, Valentino Floreancig, Damiano Gianelle, Francesco Comiti, Giustino Tonon   +5 more
doaj   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Sustainable Catalyst‐Free PLG Networks: Recyclability, Biodegradability, and Functional Performance

Advanced Functional Materials, EarlyView.
A catalyst‐additive free covalent adaptable network is developed from star‐shaped poly(lactide‐co‐glycolide) cross‐linked with pyromellitic dianhydride, enabling internal carboxylic acid‐driven transesterification. The resulting biodegradable network exhibits mechanical robustness (Young's modulus ≈1.6 GPa), complete recyclability, rapid biodegradation
Lars Schwarzer, Emilia Fulajtar, Seema Agarwal   +2 more
wiley   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Unraveling the Heterogeneity of Cargo Distribution in the Exogenous Association of Proteins With Extracellular Vesicles

Advanced Healthcare Materials, EarlyView.
We characterized the distribution of cargo proteins associated with extracellular vesicles using various exogenous loading methods. In all cases, single‐particle analysis revealed that the distribution of protein content per EV is heterogeneous, following an exponential decay function.
Karl Normak, Marcell Papp, Carolina Paganini, Andrea Zendrini, Paolo Bergese, Dorothea Pinotsi, Paolo Arosio   +6 more
wiley   +1 more source

Membrane Vesicles from Lacticaseibacillus Casei BL23 Exhibit Antimicrobial Activity Against Escherichia coli and Immunostimulatory Effects on Human Peripheral Blood Mononuclear Cells

Advanced Healthcare Materials, EarlyView.
Membrane vesicles derived from the probiotic Lacticaseibacillus casei BL23 demonstrate antimicrobial properties against Escherichia coli and a potential biological effect in improving the overall survival of C. elegans infected with Pseudomonas aeruginosa. These vesicles stimulated immune responses in primary cells without causing toxicity. Our results
Cecilia L. D'Antoni, Leila Pourtalebi Jahromi, Lorenzo Sana, Ana Paula Domínguez Rubio, Maja Dorfner, Jennifer Munkert, Heike Danzer, Philipp Arnold, Mikhail Lebedev, Esther Zanin, Oscar E. Pérez, Gregor Fuhrmann   +11 more
wiley   +1 more source

Ultrasound‐Triggered Gelation for Restoring Biomechanical Properties of Degenerated Functional Spinal Units

Advanced Healthcare Materials, EarlyView.
This study introduces an innovative approach to treating intervertebral disc degeneration using ultrasound‐triggered in situ hydrogel formation. Proof‐of‐concept experiments using optimized biomaterial and ultrasound parameters demonstrate partial restoration of biomechanical function and successful integration into degenerated disc tissue, offering a ...
Veerle A. Brans, Anna P. Constantinou, Matthew J. Kibble, Valeria Nele, Daniel Reumann, Luca Bau, Sebastien J. P. Callens, James P. K. Armstrong, Nicolas Newell, Constantin C. Coussios, Molly M. Stevens, Michael D. Gray   +11 more
wiley   +1 more source

Automatic Calibration of a Two-Axis Rotary Table for 3D Scanning Purposes. [PDF]

Sensors (Basel), 2020
Bisogni L, Mollaiyan R, Pettinari M, Neri P, Gabiccini M.   +4 more
europepmc   +1 more source