Results 81 to 90 of about 6,765,512 (191)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Matching ontologies with kernel principle component analysis and evolutionary algorithm

Demonstratio Mathematica
Ontology serves as a structured knowledge representation that models domain-specific concepts, properties, and relationships. Ontology matching (OM) aims to identify similar entities across distinct ontologies, which is essential for enabling ...
Xue Xingsi, Ye Miao, Nian Qifeng
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Anisotropic Masked Mycobacterium Potentiates Amplified Antitumor Trained Immunity via Spleen Targeting and Myelopoiesis Conversion

Advanced Materials, EarlyView.
An engineered Trojan Mycobacterium, developed via a “peeling‐off and masking‐up” strategy, functions as a powerful splenic myelopoiesis converter. This spleen‐targeted nanomedicine induces trained immunity to reprogram immunosuppressive myeloid reservoirs into antitumoral effectors.
Jin‐Ho Choi, Sang Nam Lee, Jang Hun Heo, Soyoung Park, Sei Hyun Park, Yong Taik Lim   +5 more
wiley   +1 more source

SL-CMTGP: An Effective Knowledge Interaction Matching Model Between Multitasks for Large-Scale Biomedical Ontologies

Big Data Mining and Analytics
Biomedical ontologies encapsulate the vast knowledge within the medical domain, facilitating communication and data exchange. However, the heterogeneity of these ontologies often impedes knowledge exchange, especially in large-scale biomedical ontologies.
Donglei Sun, Qing Lv, Pei−Wei Tsai, Xingsi Xue, Kai Zhang, Ketao Dai   +5 more
doaj   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2016.

, 2016
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 ...
Achichi, Manel, Cheatham, Michelle, Dragisic, Zlatan, Euzenat, Jérôme, Faria, Daniel, Ferrara, Alfio, Flouris, Giorgos, Fundulaki, Irini, Harrow, Ian, Ivanova, Valentina, Jiménez-Ruiz, Ernesto, Kuss, Elena, Lambrix, Patrick, Leopold, Henrik, Li, Huanyu, Meilicke, Christian, Montanelli, Stefano, Pesquita, Catia, Saveta, Tzanina, Shvaiko, Pavel, Splendiani, Andrea, Stuckenschmidt, Heiner, Todorov, Konstantin, Trojahn dos Santos, Cassia, Zamazal, Ondrej   +24 more
openaire   +4 more sources

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Integrating Genetics With Epidemiological Measurements Identifies Burden QTLs of Inflammatory Bowel Disease across 20 Countries

Advanced Science, EarlyView.
The burden quantitative trait locus (bQTL) analysis integrates epidemiological data from GBD study with genotype of 2 621 978 SNPs from 2414 individuals in 1000 Genomes Project across 20 countries. rs7633471 shows the strongest effect that each increase in centi‐allele frequency of the allele C associated with 10.00 decrease of age‐standardized ...
Chen Sun, Siyu Wei, Junxian Tao, Haiyan Chen, Chi Yan, Jiacheng Wang, Jing Xu, Lian Duan, Yuanbo Zhan, Yuping Zou, Ruilin Li, Linna Yuan, Wei She, Songlin Lu, Ning Wang, Qinduo Ren, Yan Guo, Yuan Xu, Chang Wang, Hongsheng Tian, Chen Zhang, Yu Dong, Guoping Tang, Zhenwei Shang, Yongshuai Jiang, Wenhua Lv, Mingming Zhang, Hongchao Lyu   +27 more
wiley   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2008.

, 2008
Ontology matching consists of finding correspondences between ontology entities. OAEI campaigns aim at comparing ontology matching systems on precisely defined test sets. Test sets can use ontologies of different nature (from expressive OWL ontologies to simple directories) and use different modalities, e.g., blind evaluation, open evaluation ...
Caraciolo, Caterina, Euzenat, Jérôme, Hollink, Laura, Ichise, Ryutaro, Isaac, Antoine, Malaisé, Véronique, Meilicke, Christian, Pane, Juan, Shvaiko, Pavel, Stuckenschmidt, Heiner, Sváb, Ondrej, Svátek, Vojtech   +11 more
openaire   +5 more sources

Copper‐Driven Epithelial Barrier Disruption: A Novel Mechanism of COPD Acute Exacerbations Mediated by the TNF‐α/ATP7A Axis

Advanced Science, EarlyView.
This study reveals a copper‐driven mechanism of COPD acute exacerbations mediated by the TNF‐α/ATP7A axis. TNF‐α suppresses the copper transporter ATP7A via competitive NF‐κB/CREB1/CBP signaling, resulting in intracellular copper accumulation, mitochondrial oxidative stress, and epithelial barrier disruption.
Xinru Xiao, Yongzhe Hao, Ziqi Ding, Zhipeng Wang, Yujia Shi, Yanhua Huang, Chunjian Qi, Qian Zhang   +7 more
wiley   +1 more source