Results 241 to 250 of about 221,774 (292)

Impediments to countering racist pseudoscience. [PDF]

Evol Hum Sci
Lala KN, Brown G, Twyman K, Feldman MW.
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

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

Introducing the UK Crop Microbiome Cryobank data resource, AgMicrobiomeBase, with case studies and methods on metabarcoding analyses. [PDF]

Environ Microbiome
Yau PT, Taketani RG, Bonnin JM, Stewart H, Thompson CMA, Clark IM, Mauchline TH, Malone JG, Ryan MJ, Jones S, Holden N.   +10 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

Comparable 2022 General Election Advertising Datasets from Meta and Google. [PDF]

Sci Data
Zhang M, Cakmak F, Neumann M, Zimmeck S, Oleinikov P, Yao J, Yu H, Jacewicz A, Tassone I, Floyd B, Baum L, Franz MM, Ridout TN, Fowler EF.   +13 more
europepmc   +1 more source

Association of Social Support With Glycemic Control Among American Indians With Type 2 Diabetes: The Strong Heart Family Study. [PDF]

Diabetes Spectr
Sawyer L, Suchy-Dicey AM, Nelson LA, Sarche M, Reese JA, Cole S, Sitlani CM, Umans JG, Fretts AM.   +8 more
europepmc   +1 more source

How multiracial emerging adults experience discrimination: a qualitative study. [PDF]

BMC Public Health
Butler EM, Blanco KG, Kantor RE, Grilo SA.   +3 more
europepmc   +1 more source

What do students expect from teaching assistants (TAs)? Considerations of gender, race, and international status. [PDF]

PLoS One
Wilson D, Kardam N.
europepmc   +1 more source

Enhanced multi-class object detector for bone fracture diagnosis with prescription recommendation. [PDF]

Front Artif Intell
Migayo DM, Kaijage S, Swetala S, Nyambo DG.   +3 more
europepmc   +1 more source