Results 171 to 180 of about 130,993 (295)

STON: exploring biological pathways using the SBGN standard and graph databases. [PDF]

BMC Bioinformatics, 2016
Touré V, Mazein A, Waltemath D, Balaur I, Saqi M, Henkel R, Pellet J, Auffray C.   +7 more
europepmc   +1 more source

Adaptable Covalent Organic Framework‐Hydrogel Microneedles for Glucose‐Responsive Isoliquiritigenin Delivery in Diabetic Wound Therapy

Advanced Healthcare Materials, EarlyView.
We develop a covalent organic framework‐loaded Traditional Chinese Medicine monomer nanodrug delivery system (ISL@bCOF) via boron‐oxygen bonds, a smart response to glucose for delivering AI‐driven isoliquiritigenin (ISL) targeting ZBP1. This dynamic release mechanism, combined with transdermal delivery technology via potent microneedles, can modulate ...
Menghan Zhou, Zongjie Hu, Xiuwen Li, Huaman Geng, Yang Liu, Yajie Wang, Yunshu Yang, Guangdong Zhou, Yujie Hua, Di Wang   +9 more
wiley   +1 more source

GeNNet: an integrated platform for unifying scientific workflows and graph databases for transcriptome data analysis. [PDF]

PeerJ, 2017
Costa RL, Gadelha L, Ribeiro-Alves M, Porto F.   +3 more
europepmc   +1 more source

Graph Isomorphism Problem in Databases

, 2008
This project introduces history and basic notions of the graph theory. It describes graph theory problems, possible graph representations and practical graph management in databases. Aims to subgraph and graph isomorphism.
Stejskal, Roman
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Enhancing fraud detection in banking by integration of graph databases with machine learning. [PDF]

MethodsX
Patil A, Mahajan S, Menpara J, Wagle S, Pareek P, Kotecha K.   +5 more
europepmc   +1 more source

Polymorph‐Specific Electronic Transduction in WO3 during Molecular Sensing

Advanced Materials, EarlyView.
Metal‐oxide polymorphs with similar surface chemistry can nevertheless exhibit distinct sensing properties. In γ‐ and ε‐WO3, analyte adsorption appears comparable; yet, only ε‐WO3 induces a pronounced lattice electronic perturbation that accommodates charge in sub‐conduction band minimum states.
Matteo D'Andria, Meng Yin, Stefan Neuhauser, Vlasis G. Mavrantzas, Ying Chen, Ken Suzuki, Andreas T. Güntner   +6 more
wiley   +1 more source

Graph Databases - are they really so new

, 2016
Even though relational databases have been (and still are) the most widely used database solutions for many years, there were other database solutions in use before the era of relational databases.
Šestak, Martina, Maleković, Mirko, Rabuzin, Kornelije   +2 more
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source