Sleeping disorder is a major health threatening in high-pace modern society. Characterizing sleep behavior with pressure-sensitive, simple fabrication, and decent washability still remains a challenge and highly desired. Here, a pressure-sensitive, large-scale, and washable smart textile is reported based on triboelectric nanogenerator (TENG) array as bedsheet for real-time and self-powered sleep behavior monitoring. Fabricated by conductive fibers and elastomeric materials with a wave structure, the TENG units exhibit desirable features including high sensitivity, fast response time, durability, and water resistance, and are interconnected together, forming a pressure sensor array. Furthermore, highly integrated data acquisition, processing, and wireless transmission system is established and equipped with the sensor array to realize real-time sleep behavior monitoring and sleep quality evaluation. Moreover, the smart textile can further serve as a self-powered warning system in the case of an aged nonhospitalized patients falling down from the bed, which will immediately inform the medical staff. This work not only paves a new way for real-time noninvasive sleep monitoring, but also presents a new perspective for the practical applications of remote clinical medical service.
Supplemental Bifidobacterium has been shown to aid in inflammatory bowel disease (IBD) prevention, remission and treatment, but the progression and mechanisms are largely unstudied, partly because of a lack of appropriate models. In vitro human...
As a fascinating non-precious catalyst for hydrogen evolution reaction (HER), two-dimensional (2D) molybdenum disulphide (MoS) has attracted ever-growing interest. While the pristine basal plane of MoS is chemically inactive, certain edges and defects have been recognized to be catalytically active for HER. Nevertheless, the per-site activity of MoS is still much lower than that of Pt. Therefore, further optimization of active sites becomes highly desirable to enhance the overall catalytic activity of MoS. In this work, we propose to use an electric field to engineer the electronic structure of edges and defects of MoS, aiming to optimize its catalytic performance. Via systematic density functional theory based first-principles calculations, we investigated the adsorption of H atoms on different edges of free-standing and supported MoS, revealing the critical role of S p-resonance states near the Fermi level in determining H adsorption, which offers an excellent descriptor for the catalytic activity associated with the electronic structure. Remarkably, by introducing an external electric field, we demonstrate the ability to fine tune the position of S p-resonance states, which can give an optimal H adsorption strength on MoS for HER. We also explored field effects on S vacancies in the basal plane, which show a different behavior for H adsorption due to the presence of Mo d states that are insensitive to the electric field. We expect these findings to shed new light on the design and control of MoS-based catalysts for industrial applications.
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