Results 141 to 150 of about 17,511,424 (267)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Tri-Parametric Assessment of α-Galactosidase A Activity, lysoGb3 and X-Inactivation Aids Genotype-Phenotype Categorization of Fabry Disease Female Patients. [PDF]

J Inherit Metab Dis
Kuchar L, Dvorakova L, Berna L, Reboun M, Slavikova P, Bakalar R, Ledvinova J, Poupetova H, Ruzicka P, Befekadu A, Dostalova G, Reichmannova S, Linhart A, Sikora J.   +13 more
europepmc   +1 more source

Modeling the Dependence Structure of the WIG20 Portfolio Using a Pair-copula Construction [PDF]

Elliptical distributions commonly applied to modeling the returns of stocks in high-dimensional portfolio are not capable of adequate describing the dependence between the components when their statistical properties are very diverse.
Ryszard Doman
core  

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution

Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution
application/pdf Bayesian analysis of a stochastic volatility model with a generalized hyperbolic (GH) skew Student’s t-error distribution is described where we first consider an asymmetric heavy-tailed error and leverage effects. An efficient Markov chain Monte Carlo estimation method is described that exploits a normal variance-mean mixture ...
openaire   +3 more sources

grafify online: A web app for graphing and statistical analysis. [PDF]

PLoS Biol
Shenoy AR.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Economic burden and cost determinants of epilepsy in Georgia: A longitudinal cost-of-illness study. [PDF]

Epilepsia Open
Kasradze S, Jishkariani T, Burkadze E, Mamasakhlisi K, Megrelishvili M, Sander JW.   +5 more
europepmc   +1 more source

Moments of the generalized hyperbolic distribution [PDF]

In this paper we demonstrate a recursive method for obtaining the moments of the generalized hyperbolic distribution. The method is readily programmable for numerical evaluation of moments.
Scott, David J, Würtz, Diethelm, Tran, Thanh Tam, Dong, Christine   +3 more
core  

Nanomaterials for Allergy Diagnosis and Treatment: Advances, Opportunities and Translational Challenges

Advanced Science, EarlyView.
Nanomaterials offer dual applications in allergy management. For diagnosis, nanomaterials enhance analytical sensitivity and improve detection in specific IgE and functional assays such as the basophil activation test (BAT). For allergen‐specific immunotherapy, nanomaterials enable allergen masking and controlled release, and effectively modulate the ...
Madiha Habib, Shan Jiang, Joyce ZX Lee, CW Lim, HL Yeung, Nicki YH Leung, Patrick SC Leung, Ting F Leung, Christine YY Wai   +8 more
wiley   +1 more source