Results 191 to 200 of about 6,959,986 (246)

Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery

Advanced Science, EarlyView.
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong, Ji Li, Mu Su, Peishen Yu, Te Ma, Ruiyang Zhai, Chenye Zhang, Mengyan Zhang, Yan Zhang   +8 more
wiley   +1 more source

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

A Literature Review on Knowledge Hiding

Open Journal of Applied Sciences
openaire   +1 more source

Knowledge hiding in family businesses

openaire   +1 more source

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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.
Karan Sonpar, Samir Shrivastava, Federica Pazzaglia   +2 more
exaly   +3 more sources

The dark triad and knowledge hiding

International Journal of Information Management, 2018
Abstract By drawing on psychological contract theory, this study examined the effects of the dark triad of personality traits (Machiavellianism, narcissism, and psychopathy) on knowledge hiding within organizations. We obtained 251 matched-pair data from respondents in a manufacturing company.
Thompson Teo, Vivien Lim, Qingpu Zhang
exaly   +3 more sources

Investigation of Teachers' Knowledge Management and Knowledge Hiding Behaviors

2024 12th International Symposium on Digital Forensics and Security (ISDFS)
The aim of this study is to investigate the correlation between teachers' knowledge management and their knowledge hiding behaviors. The sample for this study, which was constructed using the correlational model as one of the quantitative research approaches, consists of 201 teachers selected through simple random sampling.
Karabatak, Songul, Alanoglu, Muslim, Polat, Ebru   +2 more
openaire   +3 more sources

Understanding knowledge hiding and establishing the effects of power on knowledge sharing and hiding

, 2022
Knowledge hiding is an intentional attempt by an individual to withhold knowledge. This thesis has undertaken a detailed morphological analysis and as a result addresses two important research questions. First, it gives a comprehensive list of antecedents that trigger knowledge hiding and underscores the relevance of contexts like culture, job ...
Abraham Cyril Issac (11831318)
openaire   +2 more sources