Results 51 to 60 of about 1,882,852 (292)
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
European Journal of Tourism Research, 2019 The present study explores the imagery of mountain tourism destinations. The research is based on customer-based brand equity and destination choice models, and addresses destination imagery through the concepts favourite destination (FD) and ...
Arthur Araújo +3 more
doaj +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Journal of Transport and Land Use, 2014 Transport planning relies extensively on forecasts of traveler behavior over horizons of 20 years and more. Implicit in such forecasts is the assumption that travelers’ tastes, as represented by the behavioral model parameters, are constant over time. In
James Fox +3 more
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Comparing discrete choice and machine learning models in predicting destination choice
European Transport Research ReviewDestination choice modeling has long been dominated by theory-based discrete choice models. Simultaneously, machine learning has demonstrated improved predictive performance to other fields of discrete choice modeling.
Ilona Rahnasto, Martijn Hollestelle
doaj +1 more source
Sieving tourism destinations: Decision-making processes and destination choice implications
Journal of Tourism, Heritage & Services Marketing, 2021 SUBMITTED: SEP 2020, REVISION SUBMITTED: NOV 2020, ACCEPTED: JAN 2021, REFEREED ANONYMOUSLY, PUBLISHED ONLINE: 15 FEB ...
Krakover, Shaul, Corsale, Andrea
openaire +5 more sources
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Tourist perceptions of factors influencing destination image: a case study of selected Kimberley resorts. [PDF]
African Journal of Hospitality, Tourism and Leisure, 2018 Destination image is the sum of perceptual beliefs, knowledge, affective feeling, and total impression that a visitor holds about a particular destination, and it plays a critical role in determining purchase decisions in the destination-choice process ...
Rene Haarhoff
doaj