Results 121 to 130 of about 23,412 (281)
Advanced Science, EarlyView.We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Examination of knowledge hiding with conflict, competition and personal values
, 2019 Purpose The purpose of this paper was to examine knowledge hiding behaviours with perceived conflict types, competition and personal values of employees.
BOZ SEMERCİ, ANIL, Anil Boz Semerci
core +1 more source
Dark volunteerism and knowledge-hiding behaviours: Mediating role of pride
South African Journal of Business ManagementPurpose: Using moral licensing theory, this study investigated the relationship between volunteering and knowledge hiding. Moreover, pride (authentic and hubristic pride) is a mediator between volunteering and knowledge-hiding.
Irum Shahzadi, Muhammad Waseem Bari
doaj +1 more source
Advanced Science, EarlyView.The 10B‐enriched monocarbonyl analog of curcumin (BMAC) 10B‐9 enables site‐specific Boron Neutron Capture Therapy (BNCT) on amyloid‐β (Aβ) fibrils. Neutron irradiation induces histidine oxidation and fibril destabilization, as revealed by 1H‐NMR and FESEM analyses.
Sebastiano Micocci +13 more
wiley +1 more source
Jurnal Aplikasi ManajemenIn response to the competitive and dynamic business environment, understanding the determinants of knowledge sharing and knowledge-hiding behavior is crucial for optimizing knowledge utilization in achieving sustainable competitive advantage.
Hardi Hardi +4 more
doaj +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Firm-level antecedents and consequences of knowledge hiding climate [PDF]
Knowledge hiding at the firm-level has received limited empirical attention. We address this gap by examining the antecedents and consequences of knowledge hiding climate using two studies.
Cunningham JA, Harr J, O'Kane C
core
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
Advanced Science, EarlyView.A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source