Results 211 to 220 of about 107,032 (312)

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

open access: yesAdvanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour   +3 more
wiley   +1 more source

The association between residential segregation and stillbirths in Brazil-a cross-sectional study. [PDF]

open access: yesBMC Pregnancy Childbirth
Kushibuchi M   +6 more
europepmc   +1 more source

Using Bayesian Optimization to Increase the Efficiency of III‐V Multijunction Solar Cells

open access: yesAdvanced Theory and Simulations, EarlyView.
Technology Computer Aided Design (TCAD) modeling is crucial for designing complex optoelectronic devices like III‐V multijunction solar cells. Bayesian optimization is proposed as a robust method to address challenges in optimizing costly black‐box TCAD solvers.
Pablo F. Palacios, Carlos Algora
wiley   +1 more source

Nb2CBr2 MXene Monolayer as a Novel Material: A First Principle Study

open access: yesAdvanced Theory and Simulations, EarlyView.
Illustration of the monolayer cell, cell replicated in directions a and b, graph of optical absorption and thermodynamic potentials as a function of temperature. Abstract Niobium‐based MXenes show promising properties and applications, but have not yet been sufficiently investigated, especially with halogen surface terminations. This study investigates
Leonardo S. Barbosa   +4 more
wiley   +1 more source

Integration of a WASH Component in the Standard National Protocol for Treatment of Severe Acute Malnutrition in Children Aged 6-59 Months in Northern Senegal-A Costing Study. [PDF]

open access: yesMatern Child Nutr
Wassonguema B   +11 more
europepmc   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

open access: yesAdvanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang   +51 more
wiley   +1 more source

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