Allergic manifestations affect 20%-30% of the population in industrialized countries. The global market for asthma and allergy medications has been estimated to exceed USD 6 billion, since 40% of the human population has some form of IgE sensitization to diverse proteins. Most therapeutic intervention strategies cope with the symptoms of allergy without eliminating the underlying cause and many are associated with undesirable and often long-term debilitating side effects. We designed a peptide immunogen encompassing sequences of the human Cε2-3 linker region to prime rat (Rattus norvegicus) immune systems, we then designed a chimeric human-dog-human IgE antibody and used it to boost the immune system and produce high-affinity antibodies that targets native IgE. The investigation showed that this peptide immunogen elicit the formation of antibodies recognizing the native IgE of human, canine and equine origin. The current investigation describes novel approaches aimed at the development of safe anti-allergy vaccines based on active immunization with IgE-derived peptides that are involved in the complementary interaction with the high affinity receptor. The immunization strategy was successful but did not fully work as predicted, thus we propose that peptides described in the current study may lead to the development of a pan-anti-allergy vaccine with applications for the treatment of all IgE-mediated allergic response independent of the nature of the offending allergen.
As the most popular art category in the contemporary art field, visual art is no longer limited to traditional art categories such as painting, sculpture and photography, but develops into more diverse forms of expression with the continuous iteration of science and technology. As the most cutting-edge and popular concept in the world today, the research, development and application of science and technology have attracted close attention from all walks of life, including management, economy, transportation, education and teaching. However, there is no in-depth and clear research between the concept of metaverse and the concept of metaverse in the art field, especially in the visual art field. We believe that visual art creation under the background of the metaverse will be an important direction of art development in the future, and will also greatly promote the improvement of the visual presentation quality of the metaverse. Therefore, we focus our research in this study on the issue of visual art quality assessment and propose a theory and method for assessing the quality of visual art in a future-oriented metaverse. This method is based on the G1 entropy method in fuzzy mathematics. In our research, we have built a visual art field architecture based on the metaverse. Considering the difference between the traditional visual art evaluation index system and the index system after the introduction of the concept of the future metaverse, we have built a brand-new visual art quality evaluation index system facing the future metaverse. This indicator is composed of four first-class indicators and twelve second-class indicators. We combine the subjective and objective weighting G1 entropy method as the method basis for the quantitative calculation results of the indicator weight. On the basis of quantitative analysis, we propose three-point countermeasures for improving the visual art quality of the future metaverse. Our research makes up for the gap in the theory of visual art quality evaluation after the introduction of the concept of the future metaverse, innovates the analysis of new concepts and the improvement of old methods, builds a new scene of organic combination of new technology and traditional visual art, and provides a new idea for the improvement of visual art quality in the future at home and abroad, It can also provide experience and theoretical support for the academic topic of similar art quality evaluation research at home and abroad.
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