Results 51 to 60 of about 1,522,910 (330)
, 2020 CIES2020: As Energias Renováveis na Transição Energética: Livro de Comunicações do XVII Congresso Ibérico e XIII Congresso Ibero-americano de Energia Solar. Helder Gonçalves, Manuel Romero (Ed.). Lisboa, Portugal: LNEG, 3-5 Novembro, 2020, p. 517-525.
Ramos, C.A.F. +2 more
openaire +2 more sources
L'ICTA lidera una recerca europea sobre mediambient i pau [PDF]
, 2010 El projecte europeu de recerca CLICO -Canvi Climàtic, Conflictes Hídrics i Seguretat Humana- per estudiar les dimensions socials del canvi climàtic s'ha posat en marxa amb unes jornades que han tingut lloc a Bellaterra.
Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals
core +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Advanced Functional Materials, EarlyView.Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Analysis of a class of boundary value problems depending on left and right Caputo fractional derivatives [PDF]
, 2017 In this work we study boundary value problems associated to a nonlinear fractional ordinary differential equation involving left and right Caputo derivatives.
Antunes, Pedro R. S. +1 more
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Advanced Functional Materials, EarlyView.This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.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
Your PEL questionnaire development - evaluation of the impact of health education programs in schools. [PDF]
, 2019 Artigo apresentado em Coimbra no âmbito do Anuual Meeting 2019 da Escola Superior de Tecnologia da SaúdeThe Your PEL project emerged in response to requests from regional school groups and community care units that have identified the need to assess the ...
Amendoeira, José +9 more
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Advanced Functional Materials, EarlyView.In this research, it is demonstrated that dual nitrogen and sulfur doping in hollow carbon spheres creates a tunable coordination environment that stabilizes cationic Pd single atoms as robust organometallic complexes, enabling high selectivity and stability for electrochemical hydrogen peroxide production under harsh acidic and peroxide‐rich ...
Guilherme V. Fortunato +16 more
wiley +1 more source