Results 101 to 110 of about 983,529 (297)

Default logic as a query language

IEEE Transactions on Knowledge and Data Engineering, 1994
Research in nonmonotonic reasoning has focused largely on the idea of representing knowledge about the world via rules that are generally true but can be defeated. Even if relational databases are nowadays the main tool for storing very large sets of data, the approach of using nonmonotonic AI formalisms as relational database query languages has been ...
Marco Cadoli, Thomas Eiter, Georg Gottlob   +2 more
openaire   +6 more sources

BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells

FEBS Open Bio, EarlyView.
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley   +1 more source

The network query language NOAH

Proceedings of the 1982 ACM SIGMOD international conference on Management of data - SIGMOD '82, 1982
A non-procedural query language for network databases is described. The language is very powerful as compared to other implemented languages. It allows to formulate complex queries which, among other things, include conditions for CODASYL-sets and conditions for n:m-relationships.
Rieskamp, Michael, Schlageter, Gunter, Prädel, Ulrich, Unland, Rainer   +3 more
openaire   +2 more sources

Genetic dissection of human ABCE1 in yeast reveals separable requirements for ribosome recycling and suppression of aberrant reinitiation

FEBS Open Bio, EarlyView.
Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata, Yuxin Li, Kei Endo, Koichi Ito   +3 more
wiley   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5

Alexandria Engineering Journal
User query-based summarization is a challenging research area of natural language processing. However, the existing approaches struggle to effectively manage the intricate long-distance semantic relationships between user queries and input documents ...
Siginamsetty Phani, Ashu Abdul, M. Krishna Siva Prasad, V. Dinesh Reddy   +3 more
doaj   +1 more source

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

Query languages for neural networks

CoRR
We lay the foundations for a database-inspired approach to interpreting and understanding neural network models by querying them using declarative languages. Towards this end we study different query languages, based on first-order logic, that mainly differ in their access to the neural network model. First-order logic over the reals naturally yields a
Martin Grohe, Christoph Standke, Juno Steegmans, Jan Van den Bussche   +3 more
openaire   +5 more sources

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Naturally embedded query languages

, 1992
We investigate the properties of a simple programming language whose main computational engine is structural recursion on sets. We describe a progression of sublanguages in this paradigm that (1) have increasing expressive power, and (2) illustrate robust conceptual restrictions thus exhibiting interesting additional properties.
Tannen, Val, Buneman, Peter, Wong, Limsoon   +2 more
openaire   +5 more sources