Results 251 to 260 of about 321,049 (289)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

The role of nature of knowledge and knowledge creating processes in knowledge hiding: Reframing knowledge hiding

Journal of Business Research, 2021
Abstract Knowledge hiding research has traditionally focused on the ways in which knowledge is hidden in the context of interactions between employees. This study advances knowledge hiding research by highlighting the benefits of moving away from the dyadic level of analysis to a multilevel analysis across individuals, groups, and organizations.
Samir Shrivastava   +2 more
openaire   +2 more sources

Service inhibited knowledge hiding: exploring how and when servant leadership inhibits knowledge hiding

Global Knowledge, Memory and Communication, 2023
Purpose This study aims to ascertain the role of servant leadership in affecting the knowledge hiding behavior of employees. This study also unfurled the mediating role of prosocial motivation and moderating role of cynicism. Design/methodology/approach The data were collected from 324 employees working in the IT sector, a subsector of the service ...
Muhammad Mumtaz Khan   +3 more
openaire   +1 more source

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