Results 241 to 250 of about 4,465,122 (351)
A meta-learning approach for selectivity prediction in asymmetric catalysis. [PDF]
Singh S, Hernández-Lobato JM.
europepmc +1 more source
A mechanically active OsteoChondral Unit (OCU)‐on‐Chip platform mimicking the OCU's functional anatomy and the strain gradient across the osteochondral interface is presented. Upon compartment‐specific hyperphysiological compression, the model replicates mechanisms observed in osteoarthritis (OA) progression, such as calcium crystal accumulation ...
Andrea Mainardi+10 more
wiley +1 more source
Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. [PDF]
Venkataramanan R+10 more
europepmc +1 more source
Scalable Multi-query Optimization for SPARQL
Wangchao Le+3 more
semanticscholar +1 more source
This study presents a multiphasic bile duct construct composed of biocompatible materials and cells, featuring an inner layer that supports biliary epithelium growth, a middle layer providing mechanical strength, and an outer cell‐permissive layer designed to support future in vivo integration.
Mattia Pasqua+9 more
wiley +1 more source
A novel attention based vision transformer optimized with hybrid optimization algorithm for turmeric leaf disease detection. [PDF]
Selvaraj R, Devasena MSG.
europepmc +1 more source
Query optimization in microsoft SQL server PDW
S. Shankar+9 more
semanticscholar +1 more source
Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach+4 more
wiley +1 more source
ExSPIN: Explicit Feedback-Based Self-Play Fine-Tuning for Text-to-SQL Parsing. [PDF]
Yan L+7 more
europepmc +1 more source
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
wiley +1 more source