Results 31 to 40 of about 634,991 (258)
Personalized Privacy-Preserving Frequent Itemset Mining Using Randomized Response
Frequent itemset mining is the important first step of association rule mining, which discovers interesting patterns from the massive data. There are increasing concerns about the privacy problem in the frequent itemset mining.
Chongjing Sun +3 more
doaj +1 more source
Categorization Schemes in Web of Science CC
The article presents the analysis of the two classification schemes that are integrated in Web of Science Core Collection - the “Web of Science Categories” and “Research Areas”.
Yu. V. Mokhnacheva
doaj +1 more source
Information Filtering via Biased Random Walk on Coupled Social Network
The recommender systems have advanced a great deal in the past two decades. However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an ...
Da-Cheng Nie +4 more
doaj +1 more source
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
BACKGROUND: Tuberculosis (TB) is a persistent public health issue requiring consistent global effort for its eradication and control. Research on the subject plays a vital role in combatting the disease, giving future directions, and meeting the ...
Muhammad Abdullah +4 more
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Gene expression knowledge graph for patient representation and diabetes prediction
Diabetes is a worldwide health issue affecting millions of people. Machine learning methods have shown promising results in improving diabetes prediction, particularly through the analysis of gene expression data.
Rita T. Sousa, Heiko Paulheim
doaj +1 more source
Support for the publication activity of scientists in the Ural Federal District
Today research libraries pay special attention to research information support. Publication activity is one of the most important indicators of the effectiveness of a scientific organization and reflects the level of science development in the state and ...
Y. D. Prokof ’eva
doaj +1 more source
Sequence-Based Explainable Hybrid Song Recommendation
Despite advances in deep learning methods for song recommendation, most existing methods do not take advantage of the sequential nature of song content.
Khalil Damak +2 more
doaj +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source

