Results 191 to 200 of about 1,277,681 (312)
Enhancing Sealing Performance Predictions: A Comprehensive Study of XGBoost and Polynomial Regression Models with Advanced Optimization Techniques. [PDF]
Zhou W, Xie Z.
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Unraveling the underlying mechanisms at the origin of ultra‐low thermal conductivity in pristine crystals is of central relevance to designing new functional materials. Single crystals of the candidate functional material BaBiO3 show an anomalous glassy thermal conductivity, which reveals the role of strong anharmonicity and additional scattering ...
Alexandre Henriques+6 more
wiley +1 more source
Table of the zeros and weight factors of the first 20 hermite polynomials
H. E. Salzer, R. Zucker, R. Capuano
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On the distribution of the roots of a polynomial with integral coefficients [PDF]
Robert Breusch
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Stacking Interventions Enhances Carbon Removals and Profitability of Livestock Production Systems
The study indicates that stacking multiple interventions aimed at maximising soil organic carbon (SOC) sequestration and enteric methane (CH4) reductions realizes greater abatement and profit do any singular intervention, especially when SOC sequestration accounts for a significant proportion of greenhouse gas emissions (GHG) mitigation. Abstract While
My Pham‐Kieu+3 more
wiley +1 more source
A machine learning approach to wastewater treatment: Gaussian process regression and Monte Carlo analysis. [PDF]
Nadeem N+6 more
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Expansion of determinantal equations into polynomial form [PDF]
Harold Wayland
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This study deciphers maternal‐driven microbial transmission in pigs using a deep learning model (maternal–offspring microbial transmission model), identifying Christensenellaceae R‐7 group as a key transmitted taxon. Filtered galacto‐oligosaccharides‐targeted Christensenellaceae R‐7 group alters offspring microbial functions via maternal ...
Haibo Shen+9 more
wiley +1 more source
Exact and parameterized algorithms for choosability. [PDF]
Bliznets I, Nederlof J.
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