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With the development of the times, the cultivation of literary appreciation ability in the education system of colleges and universities has been gradually emphasized. This paper constructs a multimodal semantic analysis model based on text feature extraction, image feature extraction and audio feature extraction, and after fusing multiple modalities, combines them with sentiment semantic Analysis, optimizes them through the self-attention mechanism module, and finally constructs a sentiment semantic analysis model based on multimodal feature fusion. Through the performance analysis of the multimodal feature emotion semantic model, the algorithm model accuracy of this paper is as high as 89%, and the recognition accuracy of emotion is stable at about 80~85%. The multimodal sentiment semantic model proposed in this paper has an accuracy rate higher than 80% on literature appreciation related datasets. In the empirical evidence of literature appreciation, the average recognition accuracy rate of emotions expressed in literature is 62.80%. The study provides an achievable path for the multimodal semantic Analysis of contemporary literature appreciation integrated into college teaching, which is of practical significance for developing literature appreciation teaching in colleges and universities.

Objective To investigate the effect of transitional care model on postpartum depression of primiparas. Methods Totally 400 primiparas were randomly divided in to the control group and observation group, with 200 cases in each group. Primiparas in the control group received routine nursing and health education, and those in the observation group were given transitional care. The Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS) were used to measure the psychological states. The Pittsburgh Sleep Quality Index (PSQI) was used for sleep quality measurement. The incidence of postpartum depression and satisfaction degree were investigated. Results Scores of SDS and SAS were decreased in both two groups after intervention, and Scores of SDS and SAS in the observation group were lower than those in the control group (P＜0. 01). Score of PSQI was decreased in both two groups after intervention, and score of PSQI in the observation group was lower than that in the control group(P＜0. 01). Compared with those in the control group, A lower incidence of postpartum depression and higher satisfaction degree were reported in the observation, with a significant difference(P＜0. 01). Conclusion The transitional care model, as a proved way of optimizing quality of postpartum nursing, is effective to relieve the primipara’s negative emotion, improve the sleep quality and reduce the incidence of postpartum depression. (目的 探讨产后延续护理对初产妇产后抑郁的影响, 分析优化措施。方法 采用随机数字表法进行分组, 将2019年1月—2022年1月接诊的400例初产妇分为两组: 对照组200例, 提供常规指导; 观察组200例, 提供产后延续护理。采用焦虑自评量表(SAS)和抑郁自评量表(SDS)评价心理状态; 采用匹兹堡睡眠质量指数量表(PSQI)评估睡眠质量; 对比两组产后抑郁发生率、产妇满意度。结果 干预后, 两组SDS和SAS量表评分均较干预前下降, 且观察组SDS、SAS评分低于对照组, 差异有统计学意义(P＜0. 01)。干预后, 两组PSQI评分均较干预前下降, 且观察组PSQI评分低于对照组, 差异有统计学意义(P＜0. 01)。观察组产后抑郁发生率低于对照组(P＜0. 01)。观察组产妇满意度高于对照组(P＜0. 01)。结论 对初产妇实施产后延续护理, 能够改善产妇的负面情绪, 提高睡眠质量, 降低产后抑郁的发生率, 提高产妇的护理满意度, 进一步优化产后延续护理质量。)

This paper summarized nursing measures of skin and soft-tissue infections(SSTIs) complicated with allergic dermatitis caused by catheter insertion during continuous subcutaneous insulin infusion (CSII) in a patient with latent autoimmune diabetes in adults (LADA). Key issues of nursing were as follows: debridement, drainage, systemic and local anti-infection in the early stage of skin care, and negative-pressure wound therapy to improve the wound healing in the later stage of skin care; comprehensive blood glucose management including standardized self-management of insulin pump and monitoring on adverse reactions of clindamycin hydrochloride, levofloxacin and clindamycin; enhancement on psychological nursing and health education. The patient was discharged form hospital and the follow-up results showed that the wound was healed and the blood glucose was well-controlled. (总结1例胰岛素泵导管致皮肤软组织感染伴过敏性皮炎的成人隐匿性自身免疫糖尿病患者的皮肤及伤口护理经验。护理要点包括: 针对伤口护理, 前期给予以清创、引流、全身及局部抗感染, 后期应用负压伤口疗法, 促进伤口愈合; 实施腹针联合激光疗法治疗过敏性皮炎的护理经验; 根据病情全方位血糖管理, 指导患者胰岛素泵规范化自我管理, 监测盐酸克林霉素、左氧氟沙星、克林霉素等消炎药物的不良反应, 预防并发症; 加强心理护理和健康教育。患者经治疗护理16 d后好转出院, 糖尿病足伤口门诊及微信随访, 出院3 d后伤口愈合良好, 血糖控制稳定。)

Background COVID-19 may impair the central nervous system, but the prevalence and related factors of very early cognitive impairment in discharged COVID-19 convalescents are still unclear. Objective To assess the prevalence of very early cognitive impairment in discharged COVID-19 convalescents, and to identify its influencing factors. Methods This study included 574 COVID-19 convalescents from August 28 to September 30, 2020, including individuals who were discharged from designated hospitals for treating COVID-19 in Wuhan from December 2019 to April 2020 randomly selected from the hospital information system, and those with informed consent recruited through news media. According to the Eight-item Informant Interview to Differentiate Aging and Dementia (AD8) score, the subjects were divided into a very early cognitive impairment group (AD8≥2) and a non-very early cognitive impairment group (AD8

Objective To investigate the role of extracellular signal regulated kinase 1/2 （ERK1/2） in colitis through the regulation of NADPH oxidase and mitochondrial fission. Methods Mice models of acute colitis were induced by 3% dextran sulfate sodium （DSS）. Thirty C57BL/6J mice were randomly divided into six groups by random number table method： control group， 3%DSS group，1% dimethyl sulfoxide （DMSO） group， ERK1/2 inhibitor（PD98059） group， 3%DSS+1%DMSO group and 3%DSS+PD98059 group， with five mice in each group. The changes of body weight， colonic length， disease activity index and colonic histopathological changes of mice in the control and 3%DSS groups were evaluated， and the expression levels of ERK1/2， p-ERK1/2， Nicotinamide adenine dinucleotide phosphate oxidase 1 （Nox1） and Nox2 in colonic mucosa of mice were detected. Mice in 1%DMSO and 3%DSS+1%DMSO groups were intraperitoneally injected with 1%DMSO. Mice in the PD98059 and 3%DSS+PD98059 groups were intraperitoneally injected with PD98059. The colonic histopathological changes were evaluated among four groups， and the expression levels of Nox1， Nox2， Dynamin related protein 1 （DRP1）， p-DRP1-S616 and p-DRP1-S637 mitochondrial fission related proteins were detected. Mitochondrial fission of colonic epithelial cells in the control and 3%DSS groups was observed by transmission electron microscopy. The co-localization of Nox2 and mitochondrial outer membrane translocator enzyme TOM complex （TOMM20） in colonic mucosa of mice in two groups was analyzed by double-immunofluorescence staining. The correlation between relative expression levels of DRP1 and Nox2 mRNA in mouse colonic mucosa was analyzed in two groups. Results Compared with the control group， mice in the 3%DSS group exhibited body weight loss， shortened colonic length， increased disease activity index and increased colonic histopathological score. The expression levels of p-ERK1/2， Nox1， Nox2 in colonic mucosa of mice were significantly up-regulated in the 3%DSS group （all P < 0.05）. In mice with colitis， mitochondrial fission in colonic epithelial cells was increased， and the colonic mucosa co-localization of DRP1 and Nox2 was elevated， and the relative mRNA expression levels of both target genes were positively correlated （r = 0.678， P < 0.05）. ERK1/2 inhibitor PD98059 improved colonic histopathological changes in mice with colitis， and down-regulated the expression levels of Nox1， Nox2， DRP1， p-DRP1-S616 in colonic mucosa. Conclusion Inhibition of ERK1/2 may ameliorate colitis by down-regulating NADPH oxidase expression and alleviating mitochondrial fission.

Objective To investigate the role ofβ-arrestin1 （ARRB1） in liver fibrosis and elucidate the mechanism of hepatic stellate cell activation induced by ARRB1/p38 signaling pathway to promote liver fibrosis. Methods Twelve male C57BJ/6L mice were randomly divided into the control （n = 6） and model groups（n = 6）. The liver fibrosis mouse model was established by 20% carbon tetrachloride. In addition， liver tissue samples from patients with liver cirrhosis and healthy controls were collected. Liver fibrosis was assessed by HE and Sirius red staining. The expression levels of ARRB1， p38， pp38， α-SMA and collagen Ⅰ were detected by immunohistochemistry， western blot and quantitative real-time PCR. The human hepatic stellate cell line LX2 was activated by TGF-β cytokine and the expression level of ARRB1 was analyzed. Furthermore， siRNA or plasmid was used to silence or overexpress ARRB1， and p38 specific inhibitor （SB203580） was adopted to reveal the regulatory relationship between ARRB1 and p38. Results ARRB1 expression was up-regulated and the activation of p38 signal was strengthened in liver fibrosis tissues（all P < 0.05）. TGF-β treatment activated hepatic stellate cells and ARRB1 and p38 signaling in hepatic stellate cell LX2. The up-regulation or down-regulation of ARRB1 expression level could correspondingly affect p38 signaling and regulate the activity of hepatic stellate cells， while the change of p38 activity exerted no effect uponthe expression of ARRB1. Conclusion The expression level of ARRB1 is up-regulated in liver fibrosis， which can activate hepatic stellate cells by activating the p38 signaling， thereby promoting the incidence and development of liver fibrosis.

Gears are often in a harsh working environment, and their vibration signals have the characteristics of non-linearity and non-stationarity. Therefore, it is of great significance to develop a fault diagnosis method suitable for gears. To solve this problem, an intelligent fault diagnosis method based on adaptive projection intrinsically transformation sine-assisted multivariate empirical mode decomposition (APIT-SA-MEMD) and Floyd local linear embedding (FLLE) algorithm is proposed. Multivariate empirical mode decomposition of adaptive projection intrinsically transformation has modal aliasing phenomenon, so APIT-SA-MEMD is proposed to reduce the modal aliasing phenomenon existing in traditional empirical mode decomposition. First, the APIT-SA-MEMD method is used to decompose the gear vibration signal, and the IMF component that can characterize the gear vibration signal is obtained. On this basis, the time domain and frequency domain features of the selected IMF components are extracted to obtain a high-dimensional feature matrix. Finally, FLLE is used to perform dimensionality reduction and clustering analysis on the high-dimensional feature matrix to realize the identification of gear fault modes. Experimental results show that the proposed method can accurately identify different types of gear faults.

Objective To explore whether β-arrestin2 plays a role by regulating autophagy in colitis. Methods 20 β-arrestin2 wild-type （WT） and 20 β-arrestin2 knockout （KO） mice were randomly and evenly divided into four groups, including β-arrestin2 WT control group and experimental group, β-arrestin2 KO control group and experimental group. In the experimental groups, the mice were given free access to 3% dextran sulfate sodium （DSS） for 7 d to induce acute colitis. In the control groups, the mice were given sterile ddH2O. The disease activity index of mice was observed and recorded in each group. The colon tissues of mice were collected, and the expression levels of autophagy-related proteins including LC3B and Beclin1 were observed and detected by immunohistochemistry and western blot. The expression of β-arrestin2 was knockdown by siRNA in HCoEpiC cells, and then the cells were treated by Earle's Balanced Salt Solution （EBSS） to induce autophagy. Then, the expression level of LC3B protein was detected. Results The expression of autophagy-related proteins was significantly up-regulated in the colon mucosal tissues of WT experimental mice. Compared with WT mice, the colonic inflammation was significantly ameliorated in β-arrestin2 KO mice after DSS treatment. And the expression levels of autophagy-related proteins LC3B-Ⅱ/Ⅰ were significantly down-regulated in β-arrestin2 KO mice in the experimental groups（P < 0.05）.There is no significant difference in the expression levels of Beclin1（P > 0.05）. After knocking down the expression of β-arrestin2 in HCoEpiC cells and EBSS treatment, the expression levels of LC3B-Ⅱ/Ⅰ were significantly down-regulated （P < 0.05）. Conclusion β-arrestin2 can regulate the autophagy in colitis, and the deficiency of β-arrestin2 can inhibit autophagy to ameliorate the colonic inflammation.

Yb3+/Er3+/GZO ceramics have been synthesized with high temperature solid-state method. The phase and structure of the Yb3+/Er3+/GZO ceramics were characterized by X-ray diffraction (XRD). The XRD pattern that following ions Yb3+, Er3+ and Ga3+ were well doped into the ZnO lattice. Effi cient visible up-conversion (UC) red and green emission were observed under 980 nm excitation. The mechanism of the UC luminescence is investigated on the basis of the UC luminescence emission spectra, the power curve and energy level diagram. The infl uence of doping ions to the intensity ratio of red to green is analyzed and high purity of red light (red/green = 29.9) is fi nally obtained.

In this research Ag2Mn8O16 nanocrystals/TiO2 nanotubes, photoelectrodes were successfully prepared through anodization and annihilation steps, followed by electrodeposition of MnO2 and Ag in a three electrodes cell. The obtained photoelectrodes were dried, then annealed for crystallization, the morphology and structure of the fabricated electrodes were characterized via scanning electron microscopy (SEM), X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). The light absorption and harvesting properties were investigated through UV–visible diffuse reflectance spectrum (DRS), photocatalytic performances were evaluated by degradation of 50 mL of Rhodamine B (5 mg L−1) under Xenon light irradiation for 2 h. Results illustrated that the fabricated photoelectrodes show remarkable photo-degradation properties of organic pollutants in aqueous mediums.

TiO2 nanotube arrays were fabricated using electrochemical anodization of titanium foils, where different types of electrolytes were tested to determine conceptual choice for nanotubes fabrication. These electrolytes are 1M (NH4)2SO4 containing 0.5% wt NH4F, 1M Na2SO4 containing 0.5% wt NH4F, 1M NaF containing 0.5% wt (NH4)2SO4 and a mixture of water: ethylene glycol 1:9 containing 0.5% wt NH4F. The foils were marked as EG type (Ethylene Glycol), AS type (Ammonium sulfate), SS type (sodium sulfate) and SF type (sodium fluoride). The photocatalytic capabilities and characterization of the fabricated NTAs were analyzed using SEM, XRD, and DRS. The degradation ratio of designated organic pollutants (Rhodamine B) was analyzed. The obtained results have proven that foils fabricated using Ethylene glycol have significant photocatalytic abilities, with a degradation ratio of EG-SS-SF-AS types being 80% to 85%, 70% to 80%, 70% to 75% and 52% to 55%, respectively.

A kind of CVT mountain bike is designed innovatively,the working principle and structure of the continuously variable transmission（ CVT） and booster are analyzed in detail. The driving force when CVT mountain bike started is calculated,all show that the bike started lightly with the reasonable transmission structure. The finite element analysis（ FEA） of frame and handlebar is carried out,the displacement contour and stress distribution figures of the frame as well as the displacement maps of the handlebar indicate that the structure could meet the requirements with a higher safety factor.

Targeting the non-stationary characteristics of short and transient impulse vibration signals of high speed automaton, a new method based on empirical mode decomposition (EMD) and close degree to diagnose fault for high speed automaton is proposed in this paper. Firstly, original acceleration vibration signals are decomposed into a finite number of stationary intrinsic mode functions (IMFs), and then the EMD energy of each IMF is calculated. The correlation analysis is applied and the results show that the first three IMFs contained the most dominant fault information; therefore, the energy feature extracted from the first three IMFs that could serve as a feature vector for fault patterns recognition of automaton. Finally close degree evaluation method was used to diagnose the automaton fault. The experimental results indicate that the proposed approach put forward in this paper can effectively identify automaton fault patterns and it has a great application potential in condition monitoring and fault diagnosis of automaton.