Results 201 to 210 of about 23,412 (281)
Unveiling the nexus between perceived overqualification and knowledge hiding: Moderated mediation analysis of job crafting and job boredom. [PDF]
Khan J +4 more
europepmc +1 more source
The Influence of Network Location on Knowledge Hiding from the Perspective of Lifelong Education.
Liu H, Dong M.
europepmc +1 more source
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
wiley +1 more source
Relationship between workplace ostracism and knowledge hiding; mediational role of reciprocity beliefs among college teachers. [PDF]
Han R, Tunnisa A, Ghayas S, Shahab M.
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
How and when team-member exchange influences knowledge hiding behaviors: A moderated dual-pathway model. [PDF]
Zhang Z, Takahashi Y.
europepmc +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Knowledge hiding on graph data
Çizgelerde anlamlı alt yapılar olan alt çizgeler ve topluluklar, ağ yapılarının daha derinlemesine anlaşılması için önemli bilgiler sağlar. Ancak çizge analiz araçları daha gelişmiş hale geldikçe, bu durum, çizge verilerinden gereğinden fazla bilgi ...
Tekin, Leyla
core
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source

