Results 71 to 80 of about 6,765,512 (191)

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

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2007.

, 2007
We present the Ontology Alignment Evaluation Initiative 2007 campaign as well as its results. The OAEI campaign aims at comparing ontology matching systems on precisely defined test sets. OAEI-2007 builds over previous campaigns by having 4 tracks with 7 test sets followed by 17 participants.
Euzenat, Jérôme, Isaac, Antoine, Meilicke, Christian, Shvaiko, Pavel, Stuckenschmidt, Heiner, Sváb, Ondrej, Svátek, Vojtech, van Hage, Willem Robert, Yatskevich, Mikalai   +8 more
openaire   +4 more sources

Results of the Ontology Alignment Evaluation Initiative 2012.

, 2012
Ontology matching consists of finding correspondences between semantically related entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. These test cases can use ontologies of different nature (from simple thesauri to expressive OWL ontologies) and use different modalities, e.g., blind ...
Aguirre, José Luis, Cuenca Grau, Bernardo, Eckert, Kai, Euzenat, Jérôme, Ferrara, Alfio, van Hague, Robert Willem, Hollink, Laura, Jimenez-Ruiz, Ernesto, Meilicke, Christian, Nikolov, Andriy, Ritze, Dominique, Scharffe, François, Shvaiko, Pavel, Sváb-Zamazal, Ondrej, Trojahn dos Santos, Cassia, Zapilko, Benjamin   +15 more
openaire   +5 more sources

Results of the Ontology Alignment Evaluation Initiative 2021 [Elektronisk resurs]

, 2021
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.g ...
Fundulaki, Irini,, Laadhar, Amir,, Li, Ying,, Paulheim, Heiko,, Zhou, Lu,, Harrow, Ian,, Hertling, Sven,, Roussey, Catherine,, Amardeilh, Florence,, Trojahn, Cassia,, Shvaiko, Pavel,, Yaman, Beyza,, Fallatah, Omaima,, Ibanescu, Liliana,, Lambrix, Patrick,, Amini, Reihaneh,, Nasr, Engy,, Li, Huanyu,, Jimenez-Ruiz, Ernesto,, Hitzler, Pascal,, Huschka, Martin,, Abd Nikooie Pour, Mina,, Portisch, Jan,, Pesquita, Catia,, Vatascinova, Jana,, Saveta, Tzanina,, Splendiani, Andrea,, Zamazal, Ondrej,, Faria, Daniel,, Algergawy, Alsayed,, Michel, Franck,, Karam, Naouel,   +31 more
core  

Conjugated Porphyrin Polymer With Superior Charge Transfer for Photodynamic‐Immunomodulatory Prevention of CIED Infection in Diabetes

Advanced Healthcare Materials, EarlyView.
Under NIR irradiation, PTCPP generates ROS to eliminate MRSA biofilms and promote M1 macrophage polarization for phagocytosis. After bacterial clearance, the material is phagocytosed by macrophages, shifting their polarization to M2 phenotype via metabolic reprogramming, which synergistically enhances anti‐infection therapy and wound healing.
Honghao Ma, Jinguo Xu, Rongrong Gu, Chuanhui Dong, Te Chen, Yi Mu, Jing Zhu, Yating Wang, Wen Wang, Yingying Zhang, Hongyu Ma, Xiaochen Wang, Sheng Ye, Cheng Cheng   +13 more
wiley   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2006.

, 2006
We present the Ontology Alignment Evaluation Initiative 2006 campaign as well as its results. The OAEI campaign aims at comparing ontology matching systems on precisely defined test sets. OAEI-2006 built over previous campaigns by having 6 tracks followed by 10 participants. It shows clear improvements over previous results.
Euzenat, Jérôme, Mochol, Malgorzata, Shvaiko, Pavel, Stuckenschmidt, Heiner, Sváb, Ondrej, Svátek, Vojtech, van Hage, Willem Robert, Yatskevich, Mikalai   +7 more
openaire   +4 more sources

Targeting CD300a Signaling With a Phosphatidylserine‐Presenting Hydrogel Rescues Macrophage Dysfunction and Accelerates Diabetic Wound Healing

Advanced Healthcare Materials, EarlyView.
Schematic illustration of the proposed mechanism: PEG/RGD‐PSLs mimic apoptotic cells to engage PS receptors (notably CD300a), transducing an inhibitory signal that suppresses the MyD88/NF‐κB pathway, leading to global anti‐inflammatory and pro‐reparative effects.
Lele Wu, Xuetong Hao, Yang Zou, Xinglin Chen, Junyan Kong, Chunning Gu, Wenjie Ma, Zhongjun Yang, Huifen Liu, Mengmeng Liu, Xin Tong   +10 more
wiley   +1 more source

Enhancing Trait Thesauri Interoperability Using a Manual and Automated Alignment Approach

Applied Sciences
Over the past decade, trait data collection and mobilisation have expanded significantly, yet much of this data remains only partially compliant with FAIR principles.
Jessica Titocci, Martina Pulieri, Ilaria Rosati, Naouel Karam   +3 more
doaj   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2022 [Elektronisk resurs]

, 2022
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities.
Fundulaki, Irini,, Laadhar, Amir,, Li, Ying,, Paulheim, Heiko,, Zhou, Lu,, Hertling, Sven,, Trojahn, Cassia,, Shvaiko, Pavel,, Yaman, Beyza,, Fallatah, Omaima,, Wu, Mingfang,, He, Yuan,, Verhey, Chantelle,, Ibanescu, Liliana,, Lambrix, Patrick,, Nasr, Engy,, Li, Huanyu,, Chen, Jiaoyan,, Castro, Leyla J.,, Jimenez-Ruiz, Ernesto,, Buche, Patrice,, Huschka, Martin,, Abd Nikooie Pour, Mina,, Dong, Hang,, Pesquita, Catia,, Saveta, Tzanina,, Zamazal, Ondrej,, Faria, Daniel,, Horrocks, Ian,, Algergawy, Alsayed,, Michel, Franck,, Karam, Naouel,   +31 more
core