Heat conduction, being one of the most common types of energy, occurs everywhere at any time in nature. On the long journey to explore the optimal structural design for the ubiquitous heat conduction problem, many insights have been reported, yet still identifying the best structural...

Graphene quantum dots (GQDs) have shown growing potential in the applications of ion detection, anti-counterfeiting ink and light-emitting devices. However, the photoluminescence (PL) properties of GQDs will be lost when they interact with some heavy metal ions. Effective strategies to improve...

Active and highly stable OER electrocatalyst for PEM-based water electrolysis are currently in high demand. Herein, we report a rutile iridium-titanium oxide solid solution (IrTiO x ) through a facile one-step annealing of a Ti-based metal-organic framework precursor. The composite exhibits...

As a new type of fluorescent agents, carbon dots (CDs) have revealed great potential in biomedical imaging applications attributed to their unique optical properties and good biocompatibility. However, engineering a versatile CDs nanoplatform integrating multifunctional imaging and therapeutic...

Organic-inorganic hybrid perovskite solar cells (PSCs) are the prime candidates for solar energy conversion technologies owing to their superior photoelectric performance and low-temperature processibility. The electron transport layer (ETL) is one of the most important compositions for...

Microbial colonization and biofilm formation associated with microplastics (MPs) have recently attracted wide attention. However, little is known about the effect of MP shapes, aging states, and different exposed habitats on biofilm formation and associated microbial community characteristics....

Anerobic co-digestion of food waste (FW) and sewage sludge (SS), thermal hydrolyzed sludge (THS), or the filtrate of THS (THF) were conducted to study their methane potential. In comparison to the co-digestion of SS with FW, the methane yield increased 9.7%~69.7% in the co-digestion of THS and...

Constant factor loadings is a standard assumption in the analysis of large dimensional factor models. Yet, this assumption may be restrictive unless parameter shifts are mild. In this paper we develop a new testing procedure to detect big breaks in factor loadings at either known or unknown...

Time invariance of factor loadings is a standard assumption in the analysis of large factor models. Yet, this assumption may be restrictive unless parameter shifts are mild (i.e., local to zero). In this paper we develop a new testing procedure to detect big breaks in these loadings at either...

Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China’s energy-related industrial CO₂ emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition,...