Automatic Conditional Generation of Personalized Social Media Short Texts

Automatic text generation has received much attention owing to rapid development of deep neural networks. In general, text generation systems based on statistical language model will not consider anthropomorphic characteristics, which results in machine-like generated texts. To fill the gap, we propose a conditional language generation model with Big Five Personality (BFP) feature vectors as input context, which writes human-like short texts. The short text generator consists of a layer of long short memory network (LSTM), where a BFP feature vector is concatenated as one part of input for each cell. To enable supervised training generation model, a text classification model based convolution neural network (CNN) has been used to prepare BFP-tagged Chinese micro-blog corpora. Validated by a BFP linguistic computational model, our generated Chinese short texts exhibit discriminative personality styles, which are also syntactically correct and semantically smooth with appropriate emoticons. With combination of natural language generation with psychological linguistics, our proposed BFP-dependent text generation model can be widely used for individualization in machine translation, image caption, dialogue generation and so on.Comment: published in PRICAI 201

Synthesis and Biological Evaluation of Ezetimibe Analogs as Possible Cholesterol Absorption Inhibitors

In order to investigate the SAR of Ezetimibe analogs for cholesterol absorption inhibitions, amide group and electron-deficient pyridine ring were introduced to the C-(3) carbon chain of Ezetimibe. Eight new derivatives of the 2-azetidinone cholesterol absorption inhibitors have been synthesized, and all of them were enantiomerically pure. All the new compounds were evaluated for their activity to inhibit cholesterol absorption in hamsters, and most of them showed comparable effects in lowering the levels of total cholesterol in the serum

Construction of an mRNA vaccine encoding hemagglutinin of influenza A H1N1 virus and investigation on booster immunization strategy

Objective·To construct an mRNA vaccine encoding hemagglutinin (HA) of influenza A H1N1 virus, and explore the protective effects of different booster vaccination strategies.Methods·Firefly luciferase (Fluc) was used as the reporter gene to construct Fluc mRNA vaccine enveloped in lipid nanoparticles (LNP). The in vivo expression of Fluc mRNA-LNP after intramuscular injection was determined by live imaging assay in mice. Furthermore, M15-HA mRNA-LNP derived from H1N1 subtype (A/Michigan/45/2015) was constructed. Mice were immunized with 20, 10, 5, or 1 µg doses of M15-HA mRNA-LNP twice (with an interval of 3 weeks) through intramuscular injection. Serum antibody titers were measured by enzyme-linked immunosorbent assay (ELISA) at 2 weeks and 4 weeks after the second immunization, and functional antibody levels were detected by hemagglutination inhibition test. The third booster vaccination was performed 40 d after the second immunization in 1 µg dose group with 1 µg M15-HA mRNA-LNP or 10 µg HA subunit vaccine. The levels of specific antibody and functional antibody were detected by ELISA and hemagglutination inhibition test, respectively 2 weeks and 4 weeks later.Results·Live imaging assay showed that luciferase activity could be detected in mice 1 d after injection of Fluc mRNA-LNP. At 2 weeks and 4 weeks after the second immunization of M15-HA mRNA-LNP, HA-specific antibodies were significantly higher than those before the immunization in all vaccination groups at different doses (P=0.000). The hemagglutination inhibition test showed that the levels of functional antibodies in the 20 μg dose and 10 μg dose groups were significantly higher than those in the PBS control group (P<0.05). After 1 µg dose group mice were immunized with HA protein or M15-HA mRNA-LNP, higher levels of HA-specific antibody and functional antibody were induced and maintained for a long time. There was no significant difference between the two different booster immunization strategies.Conclusion·M15-HA mRNA-LNP vaccine is constructed with immunogenicity and antibody neutralization activity. Low-dose mRNA priming vaccination followed by both homologous mRNA vaccine and heterologous protein subunit vaccine booster vaccination can induce stronger immune recall responses

Molecular cloning and characterization of the mouse Acdp gene family

BACKGROUND: We have recently cloned and characterized a novel gene family named ancient conserved domain protein (ACDP) in humans. To facilitate the functional study of this novel gene family, we have cloned and characterized Acdp, the mouse homologue of the human ACDP gene family. RESULTS: The four Acdp genes (Acdp1, Acdp2, Acdp3 and Acdp4) contain 3,631 bp, 3,244 bp, 2,684 bp and 2,743 bp of cDNA sequences, and encode deduced proteins of 951, 874, 713 and 771 amino acids, respectively. The mouse Acdp genes showed very strong homologies (>90%) in both nucleotide and amino acid sequences to their human counterparts. In addition, both nucleotide and amino acid sequences within the Ancient Conserved Domain (ACD) are highly conserved in many different taxonomic species. Particularly, Acdp proteins showed very strong AA homologies to the bacteria CorC protein (35% AA identity with 55% homology), which is involved in magnesium and cobalt efflux. The Acdp genes are widely expressed in all tissues tested except for Acdp1, which is only highly expressed in the brain with low levels of expression in kidney and testis. Immunostaining of Acdp1 in hippocampus neurons revealed a predominant localization on the plasma membrane. CONCLUSION: The Acdp genes are evolutionarily conserved in diverse species and ubiquitously expressed throughout development and adult tissues suggesting that Acdp may be an essential gene. Acdp showed strong homology to bacteria CorC protein and predominantly localized on the plasma membrane. These results suggest that Acdp is probably a family of proteins involved in ion transport in mammalian cell

Solvothermal synthesis and thermoelectric properties of indium telluride nanostring-cluster hierarchical structures

A simple solvothermal approach has been developed to successfully synthesize n-type α-In2Te3 thermoelectric nanomaterials. The nanostring-cluster hierarchical structures were prepared using In(NO3)3 and Na2TeO3 as the reactants in a mixed solvent of ethylenediamine and ethylene glycol at 200°C for 24 h. A diffusion-limited reaction mechanism was proposed to explain the formation of the hierarchical structures. The Seebeck coefficient of the bulk pellet pressed by the obtained samples exhibits 43% enhancement over that of the corresponding thin film at room temperature. The electrical conductivity of the bulk pellet is one to four orders of magnitude higher than that of the corresponding thin film or p-type bulk sample. The synthetic route can be applied to obtain other low-dimensional semiconducting telluride nanostructures

How Does Digital Economy Promote the Geographical Agglomeration of Manufacturing Industry?

With the acceleration of informatization, the spatial layout of economic activities has gradually shifted from “transportation cost + labor force” to “information + technology”. As a new generation of information, the digital economy has a profound impact on the spatial layout of the manufacturing industry. Based on the data of China’s listed manufacturing companies from 2001 to 2020, this paper aims to assess the effect of the digital economy on manufacturing agglomeration and identify the transmission mechanism of this effect. The results show the following: (1) The digital economy significantly promotes the geographical agglomeration of the manufacturing industry, which is still valid on the basis of a series of robustness and endogeneity tests. (2) Mechanism analysis shows that the digital economy promotes manufacturing agglomeration by reducing transaction costs, increasing market potential and enhancing knowledge spillover. (3) Heterogeneity analysis shows that the effect is more significant in the samples of large enterprises, high-tech manufacturing, central and western regions, small and medium-sized cities and the west side of the “Hu Huanyong Line”, which will greatly help the layout of the manufacturing industry break through the “Hu Huanyong Line” to achieve balanced development. (4) Globalization, localization and human capital play a significant positive moderating role in the process. This paper provides microevidence for the integration of digitalization and industrialization. Furthermore, it has important implications for the formulation of digital economy policy, the high-quality development of the manufacturing industry and the continuous promotion of regional coordinated development

Young Adults’ Perception of Forests Using Landscape-Image-Sketching Technique: A Case Study of Changsha, Central China

The forest-landscape image is the bridge for communication between human beings and the forest. The aim of this paper is to construct the landscape-image conceptual model from the personal perception of the forest, with what people are looking at and how they are viewing themselves as a part of the forest. This research constructed a forest-landscape image by young adults by utilizing the landscape-image-sketching technique and selecting 140 young adults who had lived in Changsha, Central China for ten years, using convenience sampling, during April and May 2018. The results demonstrated that the forest was considered as the people’s life world, as rural scenery around the respondents’ homes, instead of the perception of the objective forest, an important habitat for animals and a limited resource supplier for human living. In fact, the natural values of the forest, such as the ecological and aesthetic values, received more attention than the social ones of the forest, including the life, production, and cultural values. Finally, it is important to raise the public’s awareness of the objective entity of the forest and to guide the variety of experiences for the respondents in the forest

Young Adults&rsquo; Perception of Forests Using Landscape-Image-Sketching Technique: A Case Study of Changsha, Central China

The forest-landscape image is the bridge for communication between human beings and the forest. The aim of this paper is to construct the landscape-image conceptual model from the personal perception of the forest, with what people are looking at and how they are viewing themselves as a part of the forest. This research constructed a forest-landscape image by young adults by utilizing the landscape-image-sketching technique and selecting 140 young adults who had lived in Changsha, Central China for ten years, using convenience sampling, during April and May 2018. The results demonstrated that the forest was considered as the people&rsquo;s life world, as rural scenery around the respondents&rsquo; homes, instead of the perception of the objective forest, an important habitat for animals and a limited resource supplier for human living. In fact, the natural values of the forest, such as the ecological and aesthetic values, received more attention than the social ones of the forest, including the life, production, and cultural values. Finally, it is important to raise the public&rsquo;s awareness of the objective entity of the forest and to guide the variety of experiences for the respondents in the forest