Main observation and conclusion Natural biopolymer‐based hydrogels have been extensively studied in recent years due to their excellent biocompatibility. However, the preparation of multi‐functional and tough natural biopolymer‐based hydrogels is still a challenging problem. Herein, a natural biopolymer‐based hydrogel is prepared using gelatin and carboxymethyl chitosan (CMCS) through a one‐step soaking method. The prepared hydrogel without any synthetic polymers and crosslinking agents has a fully physical crosslinking structure. Due to the hydrophobic interaction brought by the Hofmeister effect, the mechanical properties of soaked hydrogels (tensile stress and strain can reach 3.77 MPa and 1082%) are superior to conventional protein hydrogels. In addition, the prepared gelatin/carboxymethyl chitosan (Gel/CMCS) hydrogels exhibit a variety of appealing properties, including good shape memory, fatigue resistance, electrical conductivity, water retention, drug releasing, antibacterial property, and recyclability. This strategy opens up a new horizon to fabricate hydrogels with excellent mechanical properties and multiple functions, which can extend their applications in the biomedicine area and other related fields.

Micelle as a nanocarrier offers new opportunities for early diagnosis and treatment of malignant cancer but encounters numerous barriers in a path to efficiently deliver drugs to diseased areas in...

Hydrogel dressings provide a moist wound healing environment, absorb the exudates of the wound, and have better biocompatibility than traditional dressings. However, it is still difficult to meet the needs of modern medicine due to the defects in drug burst release, weak mechanical strength, and poor water retention. To solve these problems, we developed a double-layer (DL) hydrogel based on β-cyclodextrin polymer (β-CDP), poly(vinyl alcohol) (PVA), and carboxymethyl cellulose sodium (CMC) via a layer-by-layer method. Inspired by natural coconut, this hydrogel consisted of a drug release layer (DRL) and a mechanical support layer (MSL). In our design, the introduction of β-CDP into the DRL slowed the drug release rate of the DL hydrogel. Furthermore, the mechanical strength of the hydrogel was improved by immersing the MSL in a calcium chloride/boric acid solution. Combining these two layers, the tensile strength and elongation at break of the DL hydrogel reached 1504 kPa and 400%, respectively. More interestingly, the release mechanism of DL hydrogel conformed to the diffusion–relaxation–erosion model, which was different from traditional hydrogel dressings. Therefore, the as-prepared DL structure represents a feasible solution for fabricating high-performance mechanical hydrogel dressings with sustained drug release properties, and the DL hydrogel has potential to be used for medical dressings applied in daily life.

Urban rail transit is an essential part of the urban public transportation system. The reasonable spatial data visualization of urban rail transit stations can provide a more intuitive way for the majority of travelers to arrange travel plans and find destinations. The map service of rail transit stations generated by data visualization has gradually become indispensable information guidance in the rail transit system. The existing map service icons block each other when the scale changes, and new stations cannot be displayed dynamically when users drag the map. This paper uses filtering and sorting methods to dynamically query and visualize the relatively more important transportation stations within the users’ visible range, so as to solve the above problems and provide people with better transportation services. Our method introduces three constraints: spatial diversity, time-sharing passenger flow analysis and whether it is a transit station, and calculates the scores of constraint relationships of feature objects to evaluate stations. On the basis of the skyline query, the scores of feature objects are combined and sorted to obtain an ordered object set of the most interesting k points(top-k POIs), and the rail transit stations are dynamically retrieved and visualized. Before sorting POIs, we filter out POIs that need to be fitted, so that only the k most representative POIs in the currently visible range are displayed. When the map scale changes, the displayed POIs are updated. Finally, through the statistics of efficiency calculation of this method under different scales and centers, combined with users’ evaluations, it was proved that our method could better display critical information and improve user experience.