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High-energy-density Li-S batteries are considered one of the next-generation energy storage systems, but the uncontrolled Li-dendrite growth in Li metal anodes and the shuttling of polysulfides in S cathode severely impede the commercial development of Li-S batteries. Herein, a conductive composite architecture that is made up of bio-derived N-doped porous carbon fiber bundles (N-PCFs) with co-imbedded cobalt and niobium carbide nanoparticles is employed as a multifunctional integrated host for simultaneously addressing the challenges in both Li anodes and S cathodes. The implantation of Co and NbC nanoparticles bestows the N-PCFs matrix with synergistically enhanced degree of graphitization, electrical conductivity, hierarchical porosity, and surface polarization. Theoretical calculations and experimental results show that NbC with specific lithiophilic and sulfiphilic features can synchronously regulate the Li and S electrochemistry by realizing homogeneous lithium deposition with suppressed Li-dendrite growth and exerting catalytic effects for promoting the polysulfide conversion together with fast Li 2 S nucleation. Hence, the assembled Li-S full batteries exhibit a superb rate capability (704 mAh g −1 at 5 C) and cycling life (≈82.3% capacity retention after 500 cycles) at a sulfur loading over 3.0 mg cm −2 , as well as high reversible areal capacity (>6.0 mAh cm −2) even at a higher sulfur loading of 6.7 mg cm −2 .

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Purpose The purpose of this paper is to examine behavior intention of Chinese university students toward mobile library (m-library) applications (apps) and to explore the determinants of their perceptions of m-library apps. Design/methodology/approach Based on previous research, this study first proposed an integrated model and hypothesized the relationships between constructs while exploring the significance of the effects of education level and discipline. In all, 466 undergraduate and graduate students from various disciplines participated in a survey for this study. A structural equation modeling approach was applied for analysis. Findings Attitude is the main predictor of behavior intention toward m-library apps, and it is significantly affected by perceived usefulness, self-efficacy, and subjective norm. The quality of m-library apps determines students’ perception of usefulness. In addition, education level and discipline have significant effects on behavior intention toward m-library apps, which may reflect students’ different focuses and purposes of use. Originality/value This study deepens understanding of the continuance usage of m-library apps and has practical implications on related developments and services.

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