Results 201 to 210 of about 27,994 (237)

Advanced Development of Diverse Photovoltaic-Driven Water Electrolysis for Hydrogen Production: A Review on Coupling Mechanisms, Technological Evolution and Economic Analysis. [PDF]

Nanomaterials (Basel)
Yu Y, Shi S, Peng Z, Wang L, Wang S, Liu C.   +5 more
europepmc   +1 more source

Integrating replication kinetics and ultrastructural analysis to identify targets for optimizing rVSV bioproduction. [PDF]

Microbiol Spectr
Habisch R, Wieland JG, Soza-Ried J, Read C, Walther P, Neubauer P, Puschmann E, Dass M.   +7 more
europepmc   +1 more source

A food system transformation pathway reconciles 1.5 °C global warming with improved health, environment and social inclusion. [PDF]

Nat Food
Bodirsky BL, Beier F, Humpenöder F, Leip D, Crawford MS, Chen DM, von Jeetze P, Springmann M, Soergel B, Nicholls Z, Strefler J, Lewis J, Heinke J, Müller C, Karstens K, Weindl I, Stevanović M, Rein P, Sauer P, Mishra A, Bacca EJM, Köberle AC, Wang X, Singh V, Hunecke C, Collignon Q, Schreinemachers P, Dietz S, Kanbur R, Dietrich JP, Lotze-Campen H, Popp A.   +31 more
europepmc   +1 more source

Stock assessment of North Sea plaice using surplus production models

, 2007
Machiels, M.A.M., Kraak, S.B.M., Borges, L., Bogaards, H.   +3 more
openaire   +1 more source

A stochastic surplus production model in continuous time [PDF]

Fish and Fisheries, 2016
AbstractSurplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT),
Martin W Pedersen, Casper W Berg
openaire   +2 more sources

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Parameterizations for Bayesian state-space surplus production models

Fisheries Research, 2020
Abstract Bayesian state-space surplus production models are commonly applied in fisheries stock assessment when the only information available is an index of relative abundance. However, even relatively simple models such as these can be computationally expensive to fit, and diagnosing poor fits can be difficult. The Stan software package provides an
John K. Best, André E. Punt
openaire   +1 more source