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In recent years, microwave thermotherapy (MWT) has been widely concerned in tumor treatment. However, problems such as easy recurrence have restricted its application. And some studies have shown that thermotherapy will enhance the immune effect at the same time, but the effect is weak and not enough to inhibit tumor recurrence after thermotherapy. Therefore, we can effectively inhibit tumor growth and recurrence by enhancing the immune effect after thermotherapy. In this paper, Zr-MOF nanoparticles were used to encapsulate the donor of nitrosocysteine (CSNO) for nitric oxide release, and then the mitochondriatargeting ligand of triphenylphosphine (TPP) was attached to obtain CSNO@Zr-MOF-TPP (SZMT) nanocomposites. Under microwave irradiation, SZMT releases NO, which promotes high mobility group box 1 (HMGB1) release and calreticulin (CRT) expression, thereby activating the immune effect. The SZMT nanocomposites realizes the combined treatment of MWT, gas therapy and immunotherapy under microwave irradiation, which provides a new insight for the application of MWT in the clinic.

Education, technology, and talent are the fundamental and strategic support for the comprehensive construction of a socialist modernized country. Artificial intelligence is currently a hot research topic in the field of information technology, greatly affecting and even changing people's production, life, and thinking methods. However, artificial intelligence is still in the weak stage of artificial intelligence. Therefore, our school is actively promoting and continuously innovating the deep integration of industry and education, promoting the reform of applied artificial intelligence talent cultivation mode through school enterprise collaboration, constructing an applied course system, creating a resource sharing platform, and establishing a long-term cooperation mechanism between schools and enterprises. This article provides a deep analysis of the construction of the artificial intelligence major in universities. It should analyze the job requirements of domestic artificial intelligence industry enterprises, clarify the level of talent needs that can be met in the artificial intelligence industry chain, and based on the concept of industry education integration, combine artificial intelligence technology with applied professional skills and professional qualification certification to construct our university's talent training plan and professional curriculum system for the artificial intelligence undergraduate major, Based on the premise of cultivating the core professional abilities of college students, cultivating the needs that meet the development of social economy and the improvement of scientific and technological level, and meeting the needs of college students to achieve self-worth and sustainable development, providing useful reference for the construction and development of artificial intelligence majors.

Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems is to improve the exchange of information about designed systems between laboratories. The synthetic biology open language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.3.0 of SBOL, which builds upon version 2.2.0 published in last year’s JIB Standards in Systems Biology special issue. In particular, SBOL 2.3.0 includes means of succinctly representing sequence modifications, such as insertion, deletion, and replacement, an extension to support organization and attachment of experimental data derived from designs, and an extension for describing numerical parameters of design elements. The new version also includes specifying types of synthetic biology activities, unambiguous locations for sequences with multiple encodings, refinement of a number of validation rules, improved figures and examples, and clarification on a number of issues related to the use of external ontology terms.

Abstract Carbon–iron oxide microspheres’ black pigments (CIOMBs) had been prepared via ultrasonic spray pyrolysis of aqueous solutions containing ferrous chloride and glucose. Due to the presence of carbon, CIOMBs not only exhibited remarkably acid resistance, but also could be well dispersed in both polar solvents and nonpolar solvent. Finally, dispersions of hollow CIOMBs in tetrachloroethylene had successfully been applied in electrophoretic displays.

Abstract This work described a continuous method to synthesize CdTe/CdS/ZnS core/shell/shell quantum dots. In an integrated system by flawlessly combining the chemical aerosol flow system working at high temperature (200–300°C) to generate CdTe/CdS intermediate products and an additional heat-up setup at relatively low temperature to overcoat the ZnS shells, the CdTe/CdS/ZnS multishell structures were realized. The as-synthesized CdTe/CdS/ZnS core/shell/shell quantum dots are characterized by photoluminescence spectra, X-ray diffraction (XRD), energy-dispersive X-ray spectra (EDS), transmission electron microscopy (TEM), and high-resolution transmission electron microscopy (HRTEM). Fluorescence and XRD results confirm that the obtained quantum dots have a core/shell/shell structure. It shows the highest quantum yield above 45% when compared to the rhodamine 6G. The core/shell/shell QDs were more stable via the oxidation experiment by H2O2.

Abstract A general approach has been designed to blue, green, and red pigments by metal ions doping hollow TiO 2. The reaction involves initial formation of PS at TiO2 core–shell nanoparticles via a mixed-solvent method, and then mixing with metal ions solution containing PEG, followed calcining in the atmosphere. The as-prepared hollow pigments exhibit uniform size, bright color, and tunable density, which are fit for electronic paper display.

Biological computer-aided design and manufacturing (bioCAD/CAM) tools facilitate the design and build processes of engineering biological systems using iterative design-build-test-learn (DBTL) cycles. In this book chapter, we highlight some of the bioCAD/CAM tools developed and used at the US Department of Energy (DOE) Joint Genome Institute (JGI), Joint BioEnergy Institute (JBEI), and Agile BioFoundry (ABF). We demonstrate the use of these bioCAD/CAM tools on a common workflow for designing and building a multigene pathway in a hierarchical fashion. Each tool presented in this book chapter is specifically tailored to support one or more specific steps in a workflow, can be integrated with the others into design and build workflows, and can be deployed at academic, government, or commercial entities.