Results 231 to 240 of about 40,231,902 (292)

Diagnostic Performance of Digital Tomosynthesis for Detecting Osteophytes and Subchondral Bone Changes in the Equine Distal Interphalangeal and Metacarpophalangeal Joints. [PDF]

Animals (Basel)
Hahn A, Valdés Vázquez M, Manso-Díaz G, Berner D, Maia Ramos J, Doherr MG, Lischer CJ.   +6 more
europepmc   +1 more source

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

Advanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

Real-to-Sim Calibration and Cross-Domain Trajectory Validation of a Low-Cost Multi-Sensor UGV Digital Twin. [PDF]

Sensors (Basel)
Villagomez Alfaro C, Rivera Chavez ZB, De Simone MC, Guida D.   +3 more
europepmc   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

Digital Fatigue and Cognitive Load in E-Learning: Evidence From Nursing Students in Jordan. [PDF]

Nurs Open
Sinnokrot S, Khirfan R, Miqdadi AI, Abu-Wardeh Y, Al-Yyan AA, AbuQamar QA, Fashafsheh N.   +6 more
europepmc   +1 more source

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

Advanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe, Yu Zhou, Shintaro Kamiyama, Takao Okada, Tomohiro Yokozeki, Ryoma Tokonami, Tatsuhiro Takahashi   +6 more
wiley   +1 more source

EPR-based Assessment of Gadolinium-based Contrast Agent Retention and Gadolinium Transchelation in Inflamed Murine Brain. [PDF]

Invest Radiol
Anderhalten L, Höfer N, Dymnikova D, Hahndorf J, Taupitz M, Traub H, Teutloff C, Infante-Duarte C, Bittl R.   +8 more
europepmc   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Correction: Editorial: Digital medicine and artificial intelligence. [PDF]

Front Artif Intell
Wang MH, Lopes NP, Osório NS.
europepmc   +1 more source

Digital health literacy and associated factors in older adult patients with chronic obstructive pulmonary disease: a latent profile analysis. [PDF]

Front Public Health
Wu M, Zhou Z, Zhang M, Qiu H, Huang S, Wang X, Mo N, Wang Y, Tang Y, Yang X, Bao M.   +10 more
europepmc   +1 more source