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Pandemics have become more frequent and more complex during the twenty-first century. Posttraumatic stress disorder (PTSD) following pandemics is a significant public health concern. We sought to provide a reliable estimate of the worldwide prevalence of PTSD after large-scale pandemics as well as associated risk factors, by a systematic review and meta-analysis. We systematically searched the MedLine, Embase, PsycINFO, Web of Science, CNKI, WanFang, medRxiv, and bioRxiv databases to identify studies that were published from the inception up to August 23, 2020, and reported the prevalence of PTSD after pandemics including sudden acute respiratory syndrome (SARS), H1N1, Poliomyelitis, Ebola, Zika, Nipah, Middle Eastern respiratory syndrome coronavirus (MERS-CoV), H5N1, and coronavirus disease 2019 (COVID-19). A total of 88 studies were included in the analysis, with 77 having prevalence information and 70 having risk factors information. The overall pooled prevalence of post-pandemic PTSD across all populations was 22.6% (95% confidence interval (CI): 19.9-25.4%, I2: 99.7%). Healthcare workers had the highest prevalence of PTSD (26.9%; 95% CI: 20.3-33.6%), followed by infected cases (23.8%: 16.6-31.0%), and the general public (19.3%: 15.3-23.2%). However, the heterogeneity of study findings indicates that results should be interpreted cautiously. Risk factors including individual, family, and societal factors, pandemic-related factors, and specific factors in healthcare workers and patients for post-pandemic PTSD were summarized and discussed in this systematic review. Long-term monitoring and early interventions should be implemented to improve post-pandemic mental health and long-term recovery.

Objective: Our group aimed to investigate the expression pattern of miRNA-873-5p in cervical cancer (CC) patients and its association with CC progression. Methods: Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was applied for the examination of the expressions of miRNA-873-5p in both CC specimens and cell lines. The clinical significance of miRNA-873-5p was statistically analyzed. MTT, colony formation, Transwell and flow cytometry assays were used to detect cell proliferation, metastasis, and apoptosis changes of Hela and Siha cell line. Luciferase reporter assays and Western blots were utilized to identify the target genes of miRNA-873-5p. Western blot and RT-PCR were used to judge the dysregulation of Notch signaling. Results: Our results indicated that miRNA-873-5p expression was distinctly reduced in CC patients. Low miRNA-873-5p expressions were distinctly correlated with positively distant metastasis, The International Federation of Gynecology and Obstetrics (FIGO) stage and poor prognosis of CC patients. A functional assay using miRNA-873-5p mimics indicated that overexpression of miRNA-873-5p distinctly suppressed CC cells proliferation and metastasis, and promoted apoptosis. Bioinformatic assays revealed that miRNA-873-5p may target the 3’-UTR of ZEB1 and lead to the suppression of its translation, which was verified by the use of luciferase assays. Finally, overexpression of miRNA-873-5p suppressed the expressions of Jag1, Maml2 and Hey1. Conclusion: Taken together, we firstly provided evidence that miRNA-873-5p expression was a poor favorable factor for CC patients, and the use of miRNA-873-5p may represent a and potential biomarker and promising therapeutic approach for CC.

Postretrieval extinction procedures are effective nonpharmacological interventions for disrupting drug-associated memories. Nonetheless, the conditioned stimulus (CS) memory retrieval-extinction procedure is ineffective in inhibiting drug craving and relapse after prolonged withdrawal, which significantly undermines its therapeutic potential. In the present study, we showed that, unlike the CS memory retrieval-extinction procedure, noncontingent heroin injections (unconditioned stimulus [UCS]) 1 hour before the extinction sessions decreased the heroin-priming-induced reinstatement, renewal, and spontaneous recovery of heroin seeking after 28 days of withdrawal (ie, remote heroin-associated memories) in rats. The UCS retrieval manipulation induced reactivation of the basolateral amygdala (BLA) after prolonged withdrawal, and this reactivation was absent with the CS retrieval manipulation. Chemogenetic inactivation of the BLA abolished the inhibitory effect of the UCS memory retrieval-extinction procedure on heroin-priming-induced reinstatement after prolonged withdrawal. Furthermore, the combination of chemogenetic reactivation of BLA and CS retrieval-extinction procedure resembled the inhibitory effect of UCS retrieval-extinction procedure on heroin seeking after prolonged withdrawal. We also observed that the inhibitory effect of the UCS retrieval-extinction procedure is mediated by regulation of AMPA receptor endocytosis in the BLA. Our results demonstrate critical engagement of the BLA in reconsolidation updating of heroin-associated memory after prolonged withdrawal, extending our knowledge of the boundary conditions of the reconsolidation of drug-associated memories.

fuzzy factors in the gear reducer design are analyzed, and a multi-objective optimization model with minimum volume and maximum bearing capacity is established in this paper. Optimal level cut-set method is introduced to conduct comprehensive evaluation on constraining fuzziness and convert the fuzzy constraint into general constraint according to the actual conditions and requirements; for multi-objectives, single-objective optimal solutions are fuzzified to form fuzzy sets to establish the membership functions of the fuzzy sets by taking the fuzziness between the single objectives and between the single objectives and multiple objectives into consideration, and multi-objective optimal solutions are obtained by maximizing the membership functions of the fuzzy set intersection. For an actual gear reducer, the fuzzy theory and method are applied to obtain results, and the validness of the method is demonstrated by comparing such results with the conventional design data.

Many traditional monopoly industries are pervaded by the external e-commerce in recent years. It is therefore important to address the internet in these special industries. We establish a model under the monopoly with the external e-commerce and the corresponding properties are achieved. This paper shows that it is advantageous for the e-commerce if there are more consumers with internet prone. The effects of the change of the market size are also discussed and we find that this change has more effects on the offline sales. In essence, we characterize the e-commerce with the industrial organization theory in this work. Key words: Monopoly, Industrial organization, e-commerce, game theory.

The technology, device current situation , theory ,applied prospect of cross-flow solid-liquid separation have been summarized. It has been studied to making several cuneiform slots on the rotator of traditional crossflow filter, allowing the rotator forms convergence space with canister's inside wall. When suspending liquid fill into the cuneiform convergence space, it will cause kinetic press and improve the efficiency of filtrating. .

In the process of scientific and technical awarding review each phase involves a lot of score information. In order to embody the fairness and impartiality of review process, the safety protection of score data is particularly important. Through the research of scientific and technical awarding review system’s characteristics, this paper adopts a tamper resistant technology suitable for the system to guarantee the security of the scores. Practice proves that the use of these techniques greatly enhance the security and stability of the system.

In the process of scientific and technical awarding review each phase involves a lot of sensitive information. In order to embody the fairness and impartiality of review process, the safety protection of sensitive data is particularly important. This paper starts from the identity authentication, designs and implement second check technology. Practice proves that the use of these techniques greatly enhance the security and stability of the system.

On the basis of the theory of FRP sheet steel reinforcing concrete beams (SRC-beams), in order to better explore the force performance of FRP (Fiber Reinforce Plastic) steel reinforcing concrete beams, this paper analyzes the stress process simulation of the beam using the computer program of nonlinear analysis. In order to validate the program of the beam section the reliability of the simulation analysis, this paper brings beam section size and its material performance parameters into program and gets different parameters on the bearing capacity of beams influence law. Research shows that when working in the stage of FRP elasticity the reinforcement of FRP layers has little influence on bend curvature figure. In the elastic-plastic stage it has larger influence and the cure increases with the increase of FRP reinforcement layer. It shows that with the increase of the section stiffness beam bending flexural capacity is also bigger.

A design idea has been brought forward about SRC beams strengthened with CFRP, in order to solve flexural capacity shortage and need strengthening engineering problems. By analyzing loading process, failure mode and loading mechanism, flexural capacity was calculated by superposition method. According to different failure modes and neutral axis’ location in the steel, the computed formula of flexural capacity about SRC beams strengthened with CFRP was proposed, and it provided references for design of SRC beams strengthened with CFRP.

In this paper, we investigate the use of the coupled hidden Markov models (CHMM) for the task of audio-visual text dependent speaker identification. Our system determines the identity of the user from a temporal sequence of audio and visual observations obtained from the acoustic speech and the shape of the mouth, respectively. The multi modal observation sequences are then modeled using a set of CHMMs, one for each phoneme-viseme pair and for each person in the database. The use of CHMMs in our system is justified by the capacity of this model to describe the natural audio and visual state asynchrony as well as their conditional dependency over time. To train a CHMM we first train a speaker independent model using expectation-maximization (EM), and then we build a speaker dependent model using maximum a posteriori (MAP) training. Experimental results on XM2VTS database show that our system improves the accuracy of audio-only or video-only speaker identification at all levels of acoustic signal-to-noise ratio (SNR) from 0 to 30 dB.