Results 231 to 240 of about 39,694 (292)
Multi-actor en multi-stakeholder samenwerking
Kort samengevat kunnen we concluderen dat Appreciative Inquiry een beloftevolle benadering vormt om een multi-partij samenwerkingsproces in goede banen te leiden. Uit ons empirisch onderzoek kunnen we namelijk zeggen dat Appreciative Inquiry in staat is om ten volle gebruik te maken van diversiteit maar bovendien ook op relationeel vlak een waardevolle
openaire +1 more source
Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production
Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider +6 more
wiley +1 more source
Transformer-Based Soft Actor-Critic for UAV Path Planning in Precision Agriculture IoT Networks. [PDF]
Ge G, Sun M, Xue Y, Pavlova S.
europepmc +1 more source
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig +11 more
wiley +1 more source
Multi-actor process and validation framework
Validation procedures definition with the end ...
openaire +3 more sources
The family, school and community linkage of improving adolescent physical fitness and health: based on the ANT. [PDF]
Liu Y, Zhu Q, Li S, Yao L, Wang D.
europepmc +1 more source
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
Complexity and control: how do they work in PPPs? [PDF]
Van Gestel, Kit +2 more
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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

