Results 71 to 80 of about 1,200,969 (291)

Overview of Knowledge Graph Construction and Reasoning Enhanced by Large Language Models [PDF]

Jisuanji kexue yu tansuo
With the widespread application of knowledge graphs (KGs) in fields such as intelligent question answering and recommender systems, the technical bottlenecks in large-scale construction and efficient reasoning have become increasingly prominent ...
ZHANG Jing, HUANG Wenfeng, WU Chunjiang, TAN Hao
doaj   +1 more source

Fuzzy Operator Logic and Fuzzy Reasoning [PDF]

, 2009
[[abstract]]There have been only few attempts to extend fuzzy logic to automated theorem proving. In particular, the applicability of the resolution principle to fuzzy logic has been little examined.
Jeffrey J. P. Tsai;X.H. Liu;T. Weigert
core  

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl, Marika C. Möller, Lindsay Wilson, Anne Vik, Toril Skandsen, Jonas Stenberg, CENTER‐TBI participants and investigators   +6 more
wiley   +1 more source

Automating structured reasoning with entity-driven semantic simplification in Llms

Systems Science & Control Engineering
Chain-of-Thought (CoT) prompting has substantially improved zero-shot reasoning in large language models (LLMs). However, for problems involving multiple interacting entities, entangled dependencies and scattered attribute information often hinder ...
Jianquan Liao, Cairong Yan, Pengwei Wang, Yongquan Wan   +3 more
doaj   +1 more source

Triangular Index Ratio as an Alternative Method to the Alpha Angle for Defining the Presence of Cam Morphology: A Prospective Cohort Study

Arthritis Care &Research, EarlyView.
Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Myrthe A. van den Berg, Jos Runhaar, Sita Bierma‐Zeinstra, Rintje Agricola   +7 more
wiley   +1 more source

Incidence, Risk Factors and Management of Adverse Events in Contemporary Real‐World Care of Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi, Roberta A. Berard, Jean‐Philippe Proulx‐Gauthier, Heinrike Schmeling, Michelle Batthish, Gilles Boire, Adam M. Huber, Dax G. Rumsey, Jaime Guzman, Gaëlle Chédeville, The CAPRI registry Investigators   +10 more
wiley   +1 more source

Automated reasoning for security protocol analysis (Preface of the Special Issue of the Journal of Automated Reasoning on Computer Security: Foundations and Automated Reasoning)

, 2006
Preface of the Special Issue of the Journal of Automated Reasoning on Computer Security: Foundations and Automated ...
Cuellar Jorge, BASIN D, RUSINOWITCH M, Rusinowitch Michael, Cuellar, Jorge, Rusinowitch, Michaël, VIGANO', Luca, Armando Alessandro, VIGANO' L., CUELLAR J, Armando, Alessandro, Basin David, Viganò, Luca, Basin, David; id_orcid   +13 more
core   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Design Smart Games with requirements, generate them with a Click, and revise them with a GUIs

Advances in Distributed Computing and Artificial Intelligence Journal, 2012
TERENCE is an FP7 ICT European project that is developing an adaptive learning system for supporting poor comprehenders and their educators. Its learning material are books of stories and games. The games are specialised into smart games, which stimulate
Vincenza COFINI, Fernando DE LA PRIETA, Tania di MASCIO, Rosella GENNARI, Pierpaolo VITTORINI   +4 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source