Here, novel g-C3N4 based photocatalytic cement has been designed for the first time, which mainly integrates three functional modules, i.e. g-C3N4 photocatalytic layer, SnO2 electronic acceptor layer and muscovite sheet protective layer, with the aim to purify the surrounding environment.
The Phadia (previously known as UniCAP, then ImmunoCAP) 250 was a fully integrated analyzer designed for the testing of allergy and autoimmune diseases.
Open Rack is the first rack standard that's designed for data centers, integrating the rack into the data center infrastructure, part of the Open Compute Project's "grid to gates" philosophy, a holistic design process that considers the interdependence of everything from the power grid to the gates in the chips on each motherboard.
As the process exhibits an integrative behavior plus a dead time, a dead-time compensator specially designed for integrating plants is used to control the output temperature of the calorimeter.
In this paper a displacement amplifier is designed for integrating an amplifier into an extensometer to improve precision and resolution of the extensometer for strain monitoring of high temperature components.
Developed by healthcare and data warehousing veterans, Health Catalyst's platform is designed for integrating and analyzing complex operational, financial, clinical, and research data.
VISOLE (Virtual Interactive Student-Oriented Learnisg Environment) is a teacher-supported pedagogic framework that we earlier designed for integrating serious gaming into formal learning and teaching in school education (Cheung et al. 2008; Jong, Shang, Lee & Lee, 2010).
VISOLE (Virtual Interactive Student-Oriented Learnisg Environment) is a teacher-supported pedagogical framework that we initially designed for integrating serious gaming into formal learning and teaching in school education (Cheung et al. 2008; Jong, Shang, Lee & Lee, 2010).
ISIBM IJCBS was designed for integrating information from bioinformatics, systems biology and intelligent computing points of views.
In addition, there have been a series of multiple kernel learning methods designed for integrating heterogeneous genomic data (Alpaydin, 2011; Hamid et al., 2012; Yu et al., 2010).
