Results 81 to 90 of about 1,575,498 (276)

Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics

iRADIOLOGY
Background The integration of 7 Tesla (7T) magnetic resonance imaging (MRI) with advanced multimodal artificial intelligence (AI) models represents a promising frontier in neuroimaging.
Yifan Yuan, Kaitao Chen, Youjia Zhu, Yang Yu, Mintao Hu, Ying‐Hua Chu, Yi‐Cheng Hsu, Jie Hu, Qi Yue, Mianxin Liu   +9 more
doaj   +1 more source

A Hitchhiker Guide to Structural Variant Calling: A Comprehensive Benchmark Through Different Sequencing Technologies

Biomedicines
Background: Structural variants (SVs) play a significant role in gene function and are implicated in numerous human diseases. With advances in sequencing technologies, identifying SVs through whole-genome sequencing (WGS) has become a key area of ...
Giuseppe Giovanni Nardone, Valentina Andrioletti, Aurora Santin, Anna Morgan, Beatrice Spedicati, Maria Pina Concas, Paolo Gasparini, Giorgia Girotto, Ivan Limongelli   +8 more
doaj   +1 more source

Prevalence of Systemic Lupus Erythematosus in Australia, 2010–2022: A Population‐Based Study Using Linked National Administrative Health Data

Arthritis Care &Research, Accepted Article.
Objectives Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition, with widely varying global prevalence estimates. Frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the US or UK at 19‐39 per 100,000 as opposed to 65‐97 per 100,000.
Lucinda Roper, Rachel Black, Joanna Tieu, Winnie Chen, Matthew Parker, Catherine Hill, Natasha Nassar, Mandana Nikpour   +7 more
wiley   +1 more source

DERI1000: A New Benchmark for Dataset Explainability Readiness

AI
Deep learning models are increasingly evaluated not only for predictive accuracy but also for their robustness, interpretability, and data quality dependencies.
Andrej Pisarcik, Robert Hudec, Roberta Hlavata   +2 more
doaj   +1 more source

Minimal important change and minimal clinically important difference in pain and function with exercise in hip osteoarthritis

Arthritis Care &Research, Accepted Article.
Objective The objective of this study was to estimate the minimal important change (MIC) and minimal clinically important difference (MCID) for pain and physical function in individuals with hip osteoarthritis (OA) following a physiotherapist‐guided exercise intervention.
Yareni Guerrero, Fiona Dobson, Venkatesha Venkatesha, Kim Allison, Gabrielle Knox, Libby Spiers, Travis Haber, David J Hunter, Michelle Hall   +8 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +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

The Impact of High‐Productivity Processing on the Fatigue Failure of an Additive Manufactured Superalloy HAYNES 282

Advanced Engineering Materials, EarlyView.
The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh, Ahmed Fardan, Tatiana Mishurova, Eduard Hryha   +3 more
wiley   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

VisGraB: A Benchmark for Vision-Based Grasping

Paladyn, 2012
We present a database and a software tool, VisGraB, for benchmarking of methods for vision-based grasping of unknown objects with no prior object knowledge. The benchmark is a combined real-world and simulated experimental setup.
Kootstra Gert, Popović Mila, Jørgensen Jimmy Alison, Kragic Danica, Petersen Henrik Gordon, Krüger Norbert   +5 more
doaj   +1 more source