Results 71 to 80 of about 25,544 (263)

From Geometry to Function: Programmable Mechanical Response in 3D‐Printed Adipose‐Inspired Soft Metamaterials

open access: yesAdvanced Functional Materials, EarlyView.
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo   +4 more
wiley   +1 more source

Unbiased Isotonic Regression Tree for Discovering Hidden Heterogeneity in Monotonicity Constraints

open access: yesApplied Sciences
Integrating domain knowledge is increasingly recognized as vital for improving the relevance and reliability of machine learning models. This integration is often implemented through specific types of constraints that reflect real-world conditions or ...
Doowon Choi
doaj   +1 more source

Ultrafast Thermal Shock Synthesis of CuNiSnLa Medium‐Entropy Metallic Glass for Sustainable Nitrogen Fixation via Plasma‐Coupled Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces an ultrafast thermal shock strategy to synthesize a CuNiSnLa medium‐entropy metallic glass (MEMG). The rapid heating and cooling process generates a robust, highly active catalyst for electrocatalytic nitrate reduction to ammonia (NRA).
Hongbo Chen   +7 more
wiley   +1 more source

Electrostatic Superlattices Beyond 1:1 Stoichiometry

open access: yesAdvanced Functional Materials, EarlyView.
Polymer‐mediated charge regulation drives two hierarchical routes to higher‐stoichiometry nanoparticle superlattices. Tuning the polymer's molecular weight promotes progressive interstitial filling, transforming ZnS into the fully occupied CaF2${\rm CaF}_2$ lattice. Exchanging polymer assignment between large and small nanoparticles instead breaks CsCl
Binay P. Nayak   +7 more
wiley   +1 more source

Three Decades of Adolescent Health: Unveiling Global Trends Across 41 Countries in Psychological and Somatic Complaints (1994–2022)

open access: yesInternational Journal of Public Health
ObjectivesThis study examined (non-)monotonic time trends in psychological and somatic complaints among adolescents, along with gender differences.MethodsRepeated cross-sectional Health Behaviour in School-aged Children (HBSC) data from 1994 to 2022 ...
Karen Schrijvers   +13 more
doaj   +1 more source

Monotone Regression Estimates for Grouped Observations

open access: yesThe Annals of Statistics, 1982
The maximum likelihood estimator of a nondecreasing regression function with normally distributed errors has been considered in the literature. Its asymptotic distribution at a point is related to a solution of the heat equation, and its rate of convergence to the underlying regression function is of order $n^{-1/3}$.
openaire   +3 more sources

Restoration of Monotonicity Respecting in Dynamic Regression [PDF]

open access: yesJournal of the American Statistical Association, 2017
Dynamic regression models, including the quantile regression model and Aalen's additive hazards model, are widely adopted to investigate evolving covariate effects. Yet lack of monotonicity respecting with standard estimation procedures remains an outstanding issue. Advances have recently been made, but none provides a complete resolution.
openaire   +2 more sources

Sulfation‐Tunable Peptide‐Glycosaminoglycan Hydrogels for Hematopoietic Stem and Progenitor Cell Expansion

open access: yesAdvanced Functional Materials, EarlyView.
Co‐assembly of rationally designed glycosaminoglycan‐binding peptides with sulfated glycosaminoglycans yields supramolecular hydrogels with tunable mechanics and matrix‐mediated cytokine retention. The glycosaminoglycans thereby act as cofactors, driving a coil‐to‐β‐sheet transition that triggers gelation.
Shirel Veretnik   +8 more
wiley   +1 more source

Application of variable selection and dimension reduction on predictors of MSE’s development

open access: yesJournal of Big Data, 2019
Nature create variables using its character component, and variables are sharing characters from a vary small to relatively large scale. This results, variables to have from a vary different to a more similar character, and leads to have a relation ship.
Habtamu Tilaye Wubetie
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

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