Results 91 to 100 of about 812,194 (338)

A domain knowledge graph construction method based on Wikipedia

open access: yesJournal of information science, 2020
In order to achieve real-time updating of the domain knowledge graph and improve the relationship extraction ability in the construction process, a domain knowledge graph construction method is proposed.
Haoze Yu   +3 more
semanticscholar   +1 more source

RIPK4 function interferes with melanoma cell adhesion and metastasis

open access: yesMolecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski   +9 more
wiley   +1 more source

Explainable Data Mining Framework of Identifying Root Causes of Rocket Engine Anomalies Based on Knowledge and Physics-Informed Feature Selection

open access: yesMachines
Liquid rocket engines occasionally experience abnormal phenomena with unclear mechanisms, causing difficulty in design improvements. To address the above issue, a data mining method that combines ante hoc explainability, post hoc explainability, and ...
Xiaopu Zhang, Wubing Miao, Guodong Liu
doaj   +1 more source

Visualizing latent domain knowledge [PDF]

open access: yesIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2001
Knowledge discovery and data mining commonly rely on finding salient patterns of association from a vast amount of data. Traditional citation analysis of scientific literature draws insights from strong citation patterns. Latent domain knowledge, in contrast to the mainstream domain knowledge, often consists of highly relevant but relatively ...
C. Chen, J. Kuljis, R.J. Paul
openaire   +1 more source

Impact of a senior research thesis on students' perceptions of scientific inquiry in distinct student populations

open access: yesFEBS Open Bio, EarlyView.
This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart   +4 more
wiley   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

open access: yesFEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman   +4 more
wiley   +1 more source

Large Language Models for Synthetic Dataset Generation of Cybersecurity Indicators of Compromise

open access: yesSensors
In the field of Cyber Threat Intelligence (CTI), the scarcity of high-quality and labelled datasets that include Indicators of Compromise (IoCs) impact the design and implementation of robust predictive models that are capable of classifying IoCs in ...
Ashwaq Almorjan   +2 more
doaj   +1 more source

Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276

open access: yesFEBS Open Bio, EarlyView.
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig   +7 more
wiley   +1 more source

Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook

open access: yesAdvanced Science
The application of machine learning (ML) techniques in the lithium battery field is relatively new and holds great potential for discovering new materials, optimizing electrochemical processes, and predicting battery life.
Pengcheng Xue   +7 more
doaj   +1 more source

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