Results 71 to 80 of about 5,434 (190)
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source
Pareto optimal compositions of alloy catalyst for oxygen reduction reaction are uncovered through multi‐objective Bayesian optimization of activity, stability, and material cost in an eight‐element high‐entropy alloy composition space. The substantial Pareto front obtained is compared to experimental literature and analyzed to elucidate the roles and ...
Mads K. Plenge +4 more
wiley +2 more sources
A leaf phenomics approach for estimating belowground traits in North American licorice
Abstract Premise Selective breeding over thousands of years has prioritized aboveground yield, with little regard for changes belowground. Roots underpin plant growth and resilience, but our knowledge of these critical structures lags behind that of aboveground structures.
Zachary N. Harris +5 more
wiley +1 more source
Using a 3D cell culture model of the fibrotic barrier in pancreatic cancer, this work shows that inhibiting NUAK2 kinase in pancreatic stellate cells enhances macromolecular drug delivery. Mechanistically, NUAK2 inhibition disrupted actin stress fiber assembly to downregulate collagen I expression, thus enhancing macromolecular permeability.
Misaki Nakamura +14 more
wiley +1 more source
Selective Sequestration of Toxic NOx Gases by P‐Doped Graphene: A Density Functional Theory Study
P‐doped graphene (P‐grap) is explored as an NOx sensor through DFT simulations. The analysis of its geometry, binding energies, electronic properties, and atom‐in‐molecule characteristics demonstrates that P‐grap is a selective sensor for NOx among a mixture of various gases.
Anwar Ali +3 more
wiley +1 more source
Post-Quantum Security: Opportunities and Challenges. [PDF]
Li S +7 more
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
A Quantum Proxy Signature Scheme Without Restrictions on the Identity and Number of Verifiers. [PDF]
Xiong S.
europepmc +1 more source
Objective We aimed to characterize CD4+ T cell plasticity in human SLE by leveraging TCR repertoire features as markers of prior lineage states, integrating TCR and transcriptomic profiling to delineate plasticity patterns and evaluate their association with clinical disease activity.
Yasuo Nagafuchi +11 more
wiley +1 more source
A Survey on Proof of Sequential Work: Development, Security Analysis, and Application Prospects. [PDF]
Zhang J +7 more
europepmc +1 more source

