The developed multi-source ontology-based maize mutant phenotype search engine utilizes interconnected free-text fields from MaizeGDB, specifically descriptions of phenotypes, loci and gene products, as well as two domain ontologies, the GO and PO.
This a priori distribution can be utilized in a general interconnect prediction framework, producing estimates for various design objectives.
Specifically, this technique targets a ring-type LVDC distribution system that is utilized as a microgrid interconnecting a DG system and energy storage system (ESS) [25, 26].
Among them, titanium silicides constitute a valuable material family that is widely utilized as gate electrodes and interconnects in ultra-large-scale integrated circuits, owing to their relatively low electrical resistivities and good thermal and chemical stability that is highly compatible with present-day silicon processes [1].
The performance of free space optical interconnects utilizing non-diffracting Bessel beams is analyzed.
This paper presents electrical parameter extraction for metallic graphene nanoribbon (GNR) interconnects utilizing ab initio approach.
These properties of graphene make it possible to utilize graphene as interconnects [5], channel regions of graphene nanoribbon field effect transistors (GNRFETs) [6], anode materials in high-efficiency batteries [7] and transparent conductor applications [8].
The main contribution is the development of multi-source retrieval, in which several interconnected text sources are utilized for searching and folders are retrieved and ranked for the user.
In addition, this facile and novelty strategy can be potentially utilized for preparing other 3D metal sulfides interconnected macroporous carbon composite for energy storage.
These reservations can easily comprise 40 70% of the buildable land within each new neighborhood, a major distinction setting this approach apart from previous "clustering" techniques which were rarely utilized in any coordinated way to preserve interconnected open space networks.
