Results 131 to 140 of about 4,575,423 (299)
The role of fear avoidance beliefs in return to work post-injury [PDF]
, 2015 Cacciola, Tony +6 more
core +1 more source
Advanced Functional Materials, EarlyView.A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan +14 more
wiley +1 more source
Return Intentions of University-educated Turkish Expatriates [PDF]
The aim of this article is to provide new evidence on the characteristics of Turkish professionals residing overseas and the factors that are important in their decision to return home or work abroad.
Aysit Tansel, Nil Demet Güngör
core
Return to work after stroke: feasibility six year follow-up [PDF]
, 2018 Background: In a feasibility trial of early occupational therapy vocational rehabilitation (VR), more VR participants were in work at 12 months compared to those who received usual NHS rehabilitation after stroke (UC) (11 [65%] v 6 [35%]) (Radford et al.
Phillips, Julie
core
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 +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu +8 more
wiley +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 +7 more
wiley +1 more source
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
Advanced Functional Materials, EarlyView.To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Cross‐linked binders with enhanced resiliencies under low operating pressures are designed via in situ thiol‐ene click reactions within slurries. Cross‐linking improves the Young's moduli and elasticities of the styrene‐butadiene rubber binders, effectively mitigating interparticle delamination within the composite cathodes induced by volumetric ...
Young Joon Park +9 more
wiley +1 more source
Journal of Pain Research, 2019 Benjamin Claréus,1 Emma A Renström2 1Department of Psychology, Lund University, Lund, Sweden; 2Department of Psychology, Gothenburg University, Gothenburg, Sweden Purpose: This study investigates the relationship between sick-listed patients ...
Claréus B, Renström EA
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