Building energy data analysis is a major branch of smart city development research. The usual back propagation neural network model for building energy prediction has problems of unclear physical significance, poor data generalization and low fitting accuracy. Therefore, a composite prediction...

To improve the photocatalytic performance of Bi 2 MoO 6 , a direct Z-scheme Co 3 O 4 quantum dots/Bi 2 MoO 6 heterojunction was designed and prepared via a simple solvothermal reaction. The structural and morphological characterization showed that nano-scale Co 3 O 4 quantum dots (Co 3 O 4 QDs)...

Urban system theory seeks to comprehensively capture the complexity of cities. Digital twin cities are "digital mirror images" or symbionts of physical cities, and thus, they form a complex adaptive system. Unlike the reductionist practice of urban informatization and digitalization, digital...

Purpose: This paper aims to report findings of up-to-date insights to fill the knowledge gap of lack of theoretical and practical understandings of how knowledge is used in medium-sized enterprises (MEs) for ensuring their performance excellence, healthy survival and growth, particularly using...

Model identification and discrimination are two major statistical challenges. In this paper we consider a set of models for factorial experiments with the parameters representing the general mean, main effects, and only k out of all two-factor interactions. We consider the class of all...

With the acceleration of the commercialization of degradable polymers, their poor mechanical properties continuously limit their applications. It is important to find a balance between the degradable properties and mechanical properties. Herein, poly(butylene terephthalate) (PBT) modified by SPG...