Results 131 to 140 of about 1,558,985 (350)
Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients
Objective Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla +6 more
wiley +1 more source
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +109 more
wiley +1 more source
A Novel Conflict Deduction Algorithm Based on Contradiction Separation Inference Rule
Automated reasoning, a significant field within artificial intelligence, has attracted increased attention in recent years due to the rising demand for trustworthy AI.
Hailin Guo +4 more
doaj +1 more source
Automated Generation of Traffic Incident Response Plan Based on Case-Based Reasoning and Bayesian Theory [PDF]
Yongfeng Ma +3 more
openalex +1 more source
Retractions in rheumatology: trends, causes, and implications for research integrity
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Automated Verification of Neural Networks: Advances, Challenges and Perspectives
Neural networks are one of the most investigated and widely used techniques in Machine Learning. In spite of their success, they still find limited application in safety- and security-related contexts, wherein assurance about networks' performances must ...
Leofante, Francesco +3 more
core
What Do Large Language Models Know About Materials?
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 +2 more
wiley +1 more source
As the complexity of software systems is ever increasing, so is the need for practical tools for formal verification. Among these are automatic theorem provers, capable of solving various reasoning problems automatically, and proof assistants, capable of
Simon Tobias Lund, Jørgen Villadsen
doaj +1 more source
Bridging Discrete and Continuous Logicin Automated Reasoning Systems
Christoph Kohlhepp
openalex +1 more source
Automated Common-sense Spatial Reasoning: Still a Huge Challenge [PDF]
Brandon Bennett, Anthony G. Cohn
openalex +1 more source

