Results 161 to 170 of about 156,486 (298)

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Communities against cancer: a qualitative study assessing the effectiveness of a community engagement initiative in improving cancer awareness for marginalised communities. [PDF]

BMC Public Health
Wright D, Foster R, Miles P, Duffield N, Rickard S, Frankland J, Calman L, Foster C.   +7 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Targeted interventions to improve the social and economic circumstances of people with mental ill-health from marginalised communities: a systematic review. [PDF]

Psychol Med
Baldwin H, Greenburgh A, Weir H, Asif Z, Laporte D, Bertram M, Crawford A, Duberry G, Lauter S, Lloyd-Evans B, Lovelock C, Das-Munshi J, Morgan C.   +12 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Health inequities in COVID-19: insights from Rio de Janeiro's marginalised communities. [PDF]

Lancet Reg Health Am
Cerqueira-Silva T, Pescarini JM.
europepmc   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Coproducing justice in public involvement: impact-led iterative development of a dance based community engagement project building relationships in marginalised communities. [PDF]

Res Involv Engagem
Pritchard R, Darko N, Stevenson E.
europepmc   +1 more source

Human rights in the new global strategy [PDF]

, 2015
Barragues, Alfonso, Gentile, Lynn, Guerras-Delgado, Imma, Hinton, Rachel Louise, Human Rights Subwork Stream of the Global Strategy on Women's, Children's and Adolescents' Health, on behalf of the, Khosla, Rajat, O'Hanlon, Lucinda, Rasanathan, Kumanan, Sanghera, Jyoti, Stahlhofer, Marcus, Temmerman, Marleen   +10 more
core   +1 more source

Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector

Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley   +1 more source