Results 131 to 140 of about 47,940 (240)
Deep Reinforcement Learning (DRL)-based algorithms have demonstrated substantial effectiveness in tackling complex control problems for autonomous underwater vehicles (AUVs).
L. Marchel, R. Kot, P. Szymak, P. Piskur
semanticscholar +1 more source
This study investigates the modularity of encapsulin—a protein nanoparticle—by simultaneously inserting up to four distinct Salmonella epitopes within the encapsulin subunit. The encapsulin variants were transiently expressed in plants where they assembled into nanoparticles; however, their accumulation and stability varied depending on the ...
Carly A. Charron +5 more
wiley +1 more source
PurposeThis study employs the norm activation model (NAM) and the elaboration likelihood model (ELM) to investigate the drivers of consumers’ buying intent (BUI) for eco-friendly products (EFP).
Christine Nya-Ling Tan +2 more
semanticscholar +1 more source
Anticuerpos séricos contra la enfermedad de Newcastle e Influenza Aviar en aves rapaces de Chile. [PDF]
Objetivo. Detectar la presencia de anticuerpos séricos sanguíneos contra los virus de la Enfermedad de Newcastle (ENC) e Influenza aviar (IA), para comprender la contribución de las aves silvestres en la transmisión de estos virus en Chile.
Daniel González-Acuña +6 more
doaj
Encapsulin nanocompartments (ENCs), or simply encapsulins, are a novel type of protein nanocage found in bacteria and archaea. The complete encapsulin systems include protein cargoes involved in specific metabolic tasks.
Sac Nicté Gómez-Barrera +5 more
semanticscholar +1 more source
Worldwide and Route-specific Coverage of Electronic Navigational Charts [PDF]
This paper presents the results from a recent study on the coverage of Electronic Navigational Charts (ENC). Global traffic data has been evaluated in relation to the coverage of ENC and eleven specific ship routes, representative for global merchant ...
Erik Vanem +4 more
doaj

