Results 211 to 220 of about 439,560 (345)
Language model adaptation for statistical machine translation with structured query models [PDF]
, 2004 Bing Zhao, Matthias Eck, Stephan Vogel
openalex +1 more source
Query translation of an object-oriented into a relational query language [PDF]
, 1993 Keim, Daniel A. +2 more
core
Advanced Sustainable Systems, EarlyView.The shift to biodegradable materials in healthcare promises reduced plastic pollution, but their production, adoption, and long‐term impacts remain complex. Integrating lifecycle insights with global policy coordination is essential for meaningful environmental gains. Abstract The COVID‐19 pandemic sharply increased medical waste, intensifying concerns
By Haoxuan Yu +2 more
wiley +1 more source
Using Genome Query Language to uncover genetic variation. [PDF]
Bioinformatics, 2014 Kozanitis C +3 more
europepmc +1 more source
A Systematic Approach to Analyze T Cell Migration: Application to Mouse Melanoma Tumors
Advanced Therapeutics, EarlyView.The results show that a minimum of two migration speeds can be rigorously identified from the data with cells switching between a fast, persistent migratory state, and a slow, random migration state. These results will help in identifying genetic factors that influence rapid migration, among other applications, such as quality control for CAR‐T cell ...
Nikolaos Memmos +4 more
wiley +1 more source
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
Advanced Science, EarlyView.TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
The Dimensions API: a domain specific language for scientometrics research. [PDF]
Front Res Metr AnalKövári A, Pasin M, Meduna A.
europepmc +1 more source
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning
Advanced Science, EarlyView.CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang +13 more
wiley +1 more source
Event Driven Computations for Relational Query Language
, 2001 Larissa Ismailova +2 more
openalex +2 more sources
A Domain Independent Natural Language Interface to Databases Capable of Processing Complex Queries [PDF]
, 2005 Rodolfo A. Pazos Rangel +5 more
openalex +1 more source