Abstract:Recommendation system can effectively address the problem of information overload, attracting extensive attention from both academia and industry. Collaborative filtering recommender algorithms based on graph neural networks have emerged as a widely adopted technique in recent years. These algorithms can effectively represent user and item features and learn intricate relationships between users and items. Therefore, they have become prevalent in the field of recommendation system. Firstly, the paper categorizes the algorithms based on the problems that they aim to solve and then provides a comparison and analysis of representative algorithms within each category. The paper also summarize commonly used datasets in experiments and briefly introduce the key evaluation metrics. Finally, the paper discuss the challenges and potential research directions.

Abstract:Addressing the current issues of lacking standards and diverse user demands in smart home service management, this paper proposes a spatio-temporal data-driven control method for smart home service. The method involves constructing a temporal knowledge graph for smart home and utilizing a federated learningbased approach for smart home service management. By capturing the state of concept instances in smart home scenarios, the temporal knowledge graph provides temporal data on environmental changes and service statuses. Leveraging federated learning algorithms that amalgamate model parameters from various households enables personalized model updates and predictions of smart home service statuses. Experimental results demonstrate the method’s effectiveness in controlling smart home devices, accurately meeting user demands with high precision and rapid convergence speed.

Abstract:The construction of artificial cells with specific cell mimic functions helps to explore the complex biological reaction processes and cellular functions in natural biological cell systems, and provides convenience for the in-depth understanding of the origin of life. Artificial cells construction method, based on the topdown and bottom-up principle, in the past few decades have made great progress and extensive application. Build strategy based on artificial cells, human cells can be divided into “top-down” artificial cells and “bottomup” cells. Bottom-up complementary branch of synthetic biology is a new, it sought from natural or synthetic ingredients to build artificial cells. One of the goals of bottom-up synthetic biology is to construct or mimic the complex pathways present in the cells of natural organisms. Artificial cells derived from lipids, polymer, lipid/polymer hybrid body, natural cell membrane, metal-organic frameworks and condensed matter and so on. Various substances such as proteins, genes, mitochondria, etc. in real cells can be combined on the surface of artificial cells or wrapped inside artificial cells, thus endowing artificial cells with various functions. Moreover, artificial cells can be used as a drug delivery system and a carrier of information exchange. In addition, artificial cells can also replace the impaired cells to restore the normal operation of the body. Here, first introduced the method based on bottom-up strategy to build artificial cells and classification. Then the various applications of artificial cells are discussed. Finally, the future development of artificial cells is prospected.

Abstract:Cardiovascular disease is one of leading threats to human life and health. Scaffolds for vascular tissue engineering that can assist the regeneration and repair of disordered vessels have provided promising alternatives for cardiovascular disease treatment. However, existing scaffolds for vascular tissue engineering still confront grand challenges in interfacial adaptations, resulting in high risks of complications upon implantation and unsatisfactory translational application. Recently, scaffolds for vascular tissue engineering capable of programmed deformation have been emerging. Such scaffolds can not only dynamically adapt to three-dimensional vascular shapes with varying diameters but also orderly regulate behaviors and functions of vascular cells, offering new opportunities for addressing the grand challenges of interfacial adaptations. An overview of most-updated advances and perspectives of programmed deformed scaffolds for vascular tissue engineering will provide valuable inspirations to the development and translational applications of new generation of scaffolds for vascular tissue engineering.

Abstract:Metasurfaces are composed of sub-wavelength scale artificial nanostructures, which enhance the light-matter interaction at resonant wavelengths and improve the signal intensity from biochemical molecules in the near field. The chiral plasmonic metasurfaces can robustly and effectively enhance the chiral signal of chiral molecules and achieve the detection of trace molecules. The biochemical detection technology based on chiral plasmonic metasurfaces is increasingly studied to meet the requirements of high resolution and high sensitivity of detection devices in many fields such as biology, chemistry and environment. This review presented mechanism of biochemical detection of chiral plasmonic metasurfaces and the advances in chiral plasmonic metasurfaces. In terms of biochemical detection, the recent progress in chiral plasmonic metasurfaces of environmental media sensing, chirality detection, fluorescence detection and surface-enhanced Raman detection was introduced. Finally, the review discussed the application prospect of chiral plasmonic metasurfaces in biochemical detection field.

Abstract:Organic afterglow material is an optical material possessing afterglow properties, and can emit light for an extended period following excitation, thereby increasing imaging duration and sensitivity. Organic afterglow materials are commonly utilized in bioanalytical imaging due to their flexible design and good biocompatibility. Owing to the light-excitation-free luminescence, the afterglow luminescence can circumvent the interference of tissue auto-fluorescence, and provide higher signal-to-background ratio and sensitivity superior to fluorescence. This review provides an overview of the recent advances in organic afterglow materials, comprehensively summarizes the reported medical applications of these materials in bioanalytical and afterglow imaging. Finally, the article discusses the prospects and challenges of using organic afterglow materials in molecular construction and clinical imaging.

Abstract:The typical lithium-ion battery electrolyte was mixed with equal molar ratio of ethylene carbonate and methyl ethyl carbonate as solvent, added 1 mol of lithium salt LiPF6 in 1 L solvent. Theoretical calculations showed that the saturation vapor pressure concentration of typical electrolytes at 28 ℃ was at non combustible concentration; experiments verified that at 28 ℃, the mechanical sparks generated by grinding stainless steel rods with grinding wheels, the 13 kV electrical sparks from stove igniters and the burning cigarette butts could not ignite the electrolyte. The main products of electrolyte combustion in theory and practice were water and carbon dioxide, with low levels of harmful substances. The weight content of hydrofluoric acid was less than 10－5 in quality standard, was less than 4% when the electrolyte encountering with water; based on Chinese

Abstract:Wear-resistant steel balls produced by forging often exhibit poor roundness and flash defects, which severely impact their grinding performance. To address this issue, this paper proposes an online visual inspection method for high-temperature wear-resistant balls. By calculating the difference between the maximum and minimum distances from the center of the grinding ball to the contour in the image, roundness is quantitatively represented, allowing for the selection of grinding balls with poor roundness. For flash detection, this paper utilizes a deep learning strategy to effectively identify flash according to certain rules, distinguishing the complex textures of the background area and enabling effective model training. Moreover, capturing the grinding balls at high temperatures using digital filtering imaging techniques effectively removes thermal radiation noise, resulting in clear images of the grinding balls. This paper achieves a 95.3% detection rate of flash using the YOLOv5 instance segmentation model, meeting the technical requirements for online inspection.

Abstract:In this work, microfiltration membrane were prepared using polyvinylidene fluoride (PVDF) and N,N-dimethyl acetamide as the solvent via non-solvent induced phase separation technique. The effects of types and loading amounts of the non-solvent additives, pre-evaporation time and relative humidity on the membrane structure, pure water permeance and surface hydrophilicity/hydrophobicity were investigated. It was found that hydrophobic PVDF microfiltration membrane with large pore size and high permeance could be obtained by adding isopropanol (w＝16%) and glycerol (w＝6%) in the dope solution (w(PVDF)＝16%), followed by evaporation for 4 min at relative humidity of 80% before being immersed in water. The PVDF membrane possessed a completely open surface and supporting layer with interconnected sponge-like porous structure. The prepared PVDF membrane showed high pure water flux of (8 650.74±305.29) L/(m2·h) after pre-wetting and 200 nm-polystyrene-microspheres rejection of more than 99%. In addition, the PVDF microfiltration membrane was hydrophobic with water contact angle of (122±3)°, which make the membrane as a promising candidate used for gas sterilization in the bio-pharmaceutical manufacturing process.