Results 131 to 140 of about 130,593 (297)
Patient Identification and Tumor Identification Management: Quality Program in a Cancer Multicentric Clinical Data Warehouse [PDF]
Karine Pallier +8 more
openalex +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Nowadays, modernizing the data warehouse ecosystem is a key challenge in decision support systems. This modernization is crucial for ensuring scalability and meeting evolving business requirements, especially with the advent of big data.
Khadija Letrache, Mohammed Ramdani
doaj +1 more source
In Reply: COVID-19: An Argument for Rapid Access to Laboratory Data Warehouses. [PDF]
Jackups R.
europepmc +1 more source
A Secured Agent-Based Framework for Data Warehouse Management
Iosr Journals +1 more
openalex +1 more source
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing. [PDF]
europepmc +1 more source
Data Warehouse Design and Management: Theory and Practice [PDF]
The need to store data and information permanently, for their reuse in later stages, is a very relevant problem in the modern world and now affects a large number of people and economic agents.
Crescenzio Gallo +2 more
core
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses. [PDF]
Kaspar M +7 more
europepmc +1 more source

