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BACKGROUND: The oxidative system plays an important role in the pathogenesis of schizophrenia. Inconsistent associations were found between hyperbilirubinemia and psychopathology as well as glycolipid metabolism in patients with schizophrenia at different episodes. This current study aimed to examine these associations in patients with acute-episode and drug-free (AEDF) schizophrenia. METHODS: This is a retrospective study using 5 years of data from May 2017 to May 2022 extracted from the electronic medical record system of Chaohu Hospital of Anhui Medical University. Healthy controls (HCs) from the local medical screening center during the same period were also included. Participants' data of the bilirubin levels [total bilirubin (TB), conjugated bilirubin (CB), unconjugated bilirubin (UCB)], glycolipid metabolic parameters and the score of the Brief Psychiatric Rating Scale (BPRS) were collected. RESULTS: A total of 1468 case records were identified through the initial search. After screening, 89 AEDF patients and 100 HCs were included. Compared with HCs, patients had a higher CB level, and lower levels of glycolipid metabolic parameters excluding high density lipoprotein-cholesterol (HDL-C) (all P < 0.001). Binary logistic regression analyses revealed that high bilirubin levels in the patients were independently associated with higher total and resistance subscale scores of BPRS, a higher HDL-C level, and lower total cholesterol and triglyceride levels (all P < 0.05). CONCLUSION: Bilirubin levels are elevated in patients with AEDF schizophrenia. Patients with high bilirubin levels have more severe psychopathology and relatively optimized glycolipid metabolism. In clinical practice, regular monitoring of bilirubin levels in this patient population should be carried out.
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Bilirrubina , Registros Eletrônicos de Saúde , Esquizofrenia , Humanos , Esquizofrenia/sangue , Esquizofrenia/epidemiologia , Bilirrubina/sangue , Feminino , Masculino , Adulto , Estudos Retrospectivos , Pessoa de Meia-Idade , Hiperbilirrubinemia/sangue , Hiperbilirrubinemia/epidemiologia , Glicolipídeos/sangue , Adulto Jovem , Escalas de Graduação Psiquiátrica BreveRESUMO
Currently, sentiment analysis is a research hotspot in many fields such as computer science and statistical science. Topic discovery of the literature in the field of text sentiment analysis aims to provide scholars with a quick and effective understanding of its research trends. In this paper, we propose a new model for the topic discovery analysis of literature. Firstly, the FastText model is applied to calculate the word vector of literature keywords, based on which cosine similarity is applied to calculate keyword similarity, to carry out the merging of synonymous keywords. Secondly, the hierarchical clustering method based on the Jaccard coefficient is used to cluster the domain literature and count the literature volume of each topic. Thirdly, the information gain method is applied to extract the high information gain characteristic words of various topics, based on which the connotation of each topic is condensed. Finally, by conducting a time series analysis of the literature, a four-quadrant matrix of topic distribution is constructed to compare the research trends of each topic within different stages. The 1186 articles in the field of text sentiment analysis from 2012 to 2022 can be divided into 12 categories. By comparing and analyzing the topic distribution matrices of the two phases of 2012 to 2016 and 2017 to 2022, it is found that the various categories of topics have obvious research development changes in different phases. The results show that: â Among the 12 categories, online opinion analysis of social media comments represented by microblogs is one of the current hot topics. â¡ The integration and application of methods such as sentiment lexicon, traditional machine learning and deep learning should be enhanced. ⢠Semantic disambiguation of aspect-level sentiment analysis is one of the current difficult problems this field faces. ⣠Research on multimodal sentiment analysis and cross-modal sentiment analysis should be promoted.
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Catalytic pyrolysis of three different agricultural and forestry wastes (pinewood, peanut shell, rice straw) was performed in a fixed-bed reactor heated slowly under a stream of purging argon in the temperature range from 300 °C to 700 °C using K2CO3 as the catalyst. The aim of this study is to investigate the gaseous, liquid, and solid products derived from three different biomasses, and to ascertain the effects of K2CO3 on the pyrolysis behaviours. The products' yields correlated with the composition of the biomasses and the addition of catalyst in the biomasses. The addition of K2CO3 described a strong catalysis in all three phases of the products: The liquid yield decreased obviously in contrast to the increase in gas yield. The liquid yields of pinewood and peanut shell demonstrated a remarkable decrease, while that of rice straw demonstrated the least decrease owing to a significant difference between the fibre composition of rice straw and those of the other two biomasses. This catalytic pyrolysis procedure was observed to produce low yields of liquid that contained high proportions of ketones and phenols, with minor acids, aldehydes, and furans. Among the three, the phenols of rice straw indicated the most obvious increase, while guaiacols decreased significantly, indicating that K2CO3 facilitated the secondary decomposition of guaiacols. Generally, for K2CO3 catalyst, the order of catalytic effect was pinewood > peanut shell > rice straw.
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Biocombustíveis , Pirólise , Biomassa , Catálise , Agricultura Florestal , Temperatura AltaRESUMO
Hypoxic environments like those present at high altitudes may negatively affect brain function. Varying levels of hypoxia, whether acute or chronic, are previously shown to impair cognitive function in humans. Assessment and prevention of such cognitive impairment require detection of cognitive changes and impairment using specific cognitive function assessment tools. This paper summarizes the findings of previous research, outlines the methods for cognitive function assessment used at a high altitude, elaborates the need to develop standardized and systematic cognitive function assessment tools for high-altitude hypoxia environments.
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Transtornos Cognitivos , Disfunção Cognitiva , Humanos , Altitude , Hipóxia , Cognição , Disfunção Cognitiva/diagnóstico , Disfunção Cognitiva/etiologiaRESUMO
As energy and environmental issues become more prominent, people must find sustainable, green development paths. Bio-based polymeric phase change energy storage materials provide solutions to cope with these problems. Therefore, in this paper, a fully degradable polyethylene glycol (PEG20000)/polylactic acid (PLA)/g-C3N4 composite phase change energy storage material (CPCM) was obtained by confinement. The CPCM was characterized by FTIR and SEM for compatibility, XRD and nanoindentation for mechanical properties and DSC, LFA, and TG for thermal properties. The results showed that the CPCM was physical co-mingling; when PLA: PEG: g-C3N4 was 6:3:1, the consistency was good. PEG destroys the crystallization of PLA and causes the hardness to decrease. When PLA: PEG: g-C3N4 was 6: 3: 1, it had a maximum hardness of 0.137 GPa. The CPCM had a high latent enthalpy, and endothermic and exothermic enthalpies of 106.1 kJ/kg and 80.05 kJ/kg for the PLA: PEG: g-C3N4 of 3: 6: 1. The CPCM showed an increased thermal conductivity compared to PLA, reaching 0.30 W/(m·K),0.32 W/(m·K) when PLA: PEG: g-C3N4 was 6: 3: 1 and when PLA: PEG: g-C3N4 was 3: 6: 1, respectively. Additionally, the CPCM was stable within 250 °C, indicating a wide appliable temperature range. The CPCM can be applied to solar thermal power generation, transportation, and building construction.
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The study was to express prME protein of Japanese encephalitis virus (JEV) in Pichia pastoris and then to evaluate the immunological properties of the recombinant protein in mice, so as to explore a new way for subunit vaccine development of JEV. The JEV prME gene was amplified by RT-PCR with genome RNA of JEV vaccine strain SA14-14-2 and subcloned into pPICZa-A vector, designated as pPICZα-prME. pPICZα-SprME was constructed same as pPICZα-prME besides with the additional 19 Aa signal peptides coding gene of the JEV cap protein C terminal. The linearized expression vector was integrated into the genome of Pichia pastoris X33 under the control of the alcohol oxidase (AOX1) promoter and induced with methanol during fermentation expression. The expression of JEV prME protein was identified by SDS-PAGE and Western blotting, and then it was purified by S-400 High Resolution HiPrep 16/60 Sephacry. The expressed products of Pichia pastoris were visualized by electron microscopy. In the immunization test, four groups of four-week old female mice were immunized subcutaneously with different doses purified JEV prME protein with complete Freund's adjuvant at a volumetric ratio of 1:1 and a control group was injected with sterile PBS. 10 µg/dose purified JEV prME protein mixing different doses nucleic acid adjuvant (Naa) was vaccinated in mice as the same mode. SDS-PAGE and Western blotting indicate that JEV prME was not cleaved between prM and E during secreted expression in Pichia pastoris. The purified recombinant prME was eluted in the first eluting peak which indicated that its molecular weight about 1×106 Da to 20×106 Da and may form a multimeric. Both the culture supernatant and the purified protein, examined by electron microscopy, we found to contain JEV virus like particles (VLPs) with diameters of 30-50 nm. The anti-JEV VLPs antibody titration reached peak at 3 wpi and still maintained in mice at 7 wpi inoculated with 10 µg and 15 µg prME. The strong antibody response was observed when the mice immunized with prME mixing nucleic acid adjuvant, which elicited high neutralizing antibody titer among 1:80 to 1:160. In conclusion, although JEV prME protein expressed in Pichia pastoris was not cleaved, which formed VLPs and showed efficient immunological properties in mice experiments.