Results 121 to 130 of about 70,533 (290)
Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]
An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
core
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
A biocompatible hydrogel coating with tissue‐like mechanics and reversible dissolution triggered by a mild, physiologically compatible temperature drop (≈37°C → ≈25°C) was developed for the transient encapsulation of implantable devices. The physically crosslinked methylcellulose, polyethylene glycol and polyacrilic acid (MC/PEG/PAA) hydrogel ...
Francesca Persano +14 more
wiley +1 more source
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source
The versatile CaO2@CuMOF@HAP nanohybrid demonstrates an outstanding MMP9/pH‐triggered release performance for sequential release of osteogenic growth peptide into deep‐seated tumor‐infiltrated bone destruction areas and dual ions into tumor cells, enabling efficient tumor‐associated osteolysis restoration and tumor elimination for more comprehensive ...
Lan Liu +8 more
wiley +1 more source
Weaning is a challenging period for piglets, characterized by stress-related growth checks, compromised immunity, and gut dysbiosis. Purslane (Portulaca oleracea L.), known for its rich content of antioxidants, has potential as a functional feed ...
Lei Xu +9 more
doaj +1 more source
Cell‐sized high‐frequency ultrasound using a lithium niobate transducer, previously ignored in reactive oxygen species (ROS) production, generated intracellular ROS at frequencies higher than conventionally used. The intracellular generation of ROS by cell‐sized high‐frequency ultrasound revealed in this study is expected to be applied to innovative ...
Kotaro Fujishiro +4 more
wiley +1 more source
Öbek Bilgisayarlarda Paralel Fp-growth Gerçekleştirimi
Teknolojinin gelişmesiyle verilerin miktarında ve çeşitliliğinde bir artış gözlemlenmiştir. Bu artış, veri işleme yöntemlerinde yeni ihtiyaçları gündeme getirmiştir. Veri madenciliği bu ihtiyaçlara cevap verebilmek amacıyla geliştirilen büyük veri ambarlarından yararlı bilgi elde etme sürecidir.
openaire +2 more sources
High electrical performance alone does not guarantee efficient bioelectronic signal transduction. Despite excellent mixed ionic‐electronic conduction, recordings from cardiomyocytes reveal that p(g2T‐TT)‐based OECTs predominantly transduce field potential FP‐like signals due to weak cell‐polymer coupling.
Giulia Zoe Zemignani +10 more
wiley +1 more source
RESEARCH ISSUES CONCERNING ALGORITHMS USED FOR OPTIMIZING THE DATA MINING PROCESS [PDF]
In this paper, we depict some of the most widely used data mining algorithms that have an overwhelming utility and influence in the research community. A data mining algorithm can be regarded as a tool that creates a data mining model.
Alexandru Pîrjan, Ion Lungu
core

