Results 101 to 110 of about 8,642,195 (291)

EXTRACTION KNOWLEDGE OBJECTS IN SCIENTIFIC WEB RESOURCE FOR RESEARCH PROFILING [PDF]

, 2009
Research profiling is a large-scale analysis method based on the literature information to depict the state-of-the-art scientific researches wisely. Much research profiling work has been carried out based on formal, structured scientific publications ...
刘建华, 张智雄
core  

Morphology-Aware Multi-Scale Deep Representation Learning for Interpretable Knowledge Extraction in Brain Tumor MRI

Machine Learning and Knowledge Extraction
Robust brain tumor classification from magnetic resonance imaging (MRI) remains challenging due to complex structural heterogeneity and subtle inter-class variability.
Helala AlShehri, Mariam Busaleh
doaj   +1 more source

Adjective Semantics in Open Knowledge Extraction

, 2016
Adjectives carry a lot of discourse semantics, often being the core elements to understand the literal, emotional, cultural, and metaphoric meaning of a sentence. Their formal semantics has been investigated specially in lexical semantics and formal linguistics, with some contributions from formal ontology and the semantic web.
Gangemi Aldo, Nuzzolese Andrea Giovanni, Presutti Valentina, Reforgiato Recupero Diego   +3 more
openaire   +2 more sources

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Explainable Surrogate-Based Knowledge Extraction from DEM Simulations: Cross-System Algorithm Selection and SHAP Interpretability for Granular Material Handling Optimization

Machine Learning and Knowledge Extraction
Extracting transferable design knowledge from Discrete Element Method (DEM) simulations remains challenging in granular material handling. We develop an explainable surrogate framework for two solar-panel-recycling subsystems: a silo discharge system ...
Suphatchakorn Limhengha, Supattarachai Sudsawat   +1 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Solvent extraction 1990 : proceedings of the International Solvent Extraction Conference (ISEC '90) /

, 1992
Solvent extraction is employed very widely in both fundamental research and technology because of the remarkable features of this simple but very effective technique for the separation of different materials.
Kusakabe, S.(Satoshi),, International Solvent Extraction Conference(1990 :Kyoto, Japan), Sekine, Tatsuya   +2 more
core  

Ontology-based Information Extraction with SOBA [PDF]

, 2006
Buitelaar P, Cimiano P, Racioppa S, Siegel M. Ontology-based Information Extraction with SOBA. In: Proceedings of the International Conference on Language Resources and Evaluation (LREC).
Racioppa, Stefania, Siegel, Melanie, Buitelaar, Paul, Cimiano, Philipp ; https://orcid.org/   +3 more
core  

Extracting Learning Data From Handwritten Notes: A New Approach to Educational Data Analysis Based on Image Segmentation and Generative AI

IEEE Access
While handwritten notes offer valuable insights into students’ knowledge retention, traditional analysis methods are often time-consuming and limited in scope.
Yunyu Zhou, Cheng Tang, Atsushi Shimada
doaj   +1 more source

Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins

FEBS Open Bio, EarlyView.
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley   +1 more source