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The green economic recovery in post-COVID-19 is a controversial issue among scholars. The primary purpose of this paper is to evaluate the impacts of the tourism sustainable development index (as a proxy of ecotourism) on the inclusive green economic growth of ASEAN (The Association of Southeast Asian Nations) member states throughout 2000–2021 through employing the system-GMM (Generalized Method of Moments) dynamic panel data approach. The findings confirmed that the tourism sustainable development index has a positive and linear relationship with the green economic growth index, confirming the existence of the TLEG (The Tourism-led Economic Growth) hypothesis. The coefficient of the official exchange rate is positive and statistically significant, whereas the good governance index positively affects green economic growth in ASEAN economies. The primary practical policies are developing the green financing market, coherent ecotourism action plans, supporting small and medium enterprises (SMEs) in the ecotourism industry, and establishing a regional ecotourism value chain. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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In order to study the pollution levels of PM2.5 and water-soluble inorganic ions（WSIIs）in the towns of southern Gansu, PM2.5 samples were collected quarterly in Cheng County of Gansu from April 2019 to February 2020. Their characteristics of variation were analyzed, and the sources were apportioned using correlation and principal component analysis. The results showed that the mean annual mass concentration of PM2.5 was（57.2±26.9）μg·m-3 in Cheng County of Gansu Province. The seasonal variation of PM2.5 concentration was represented by winter>spring>autumn>summer during the sampling period, and the concentrations in winter were about 1.9 times than that in summer. The annually good air quality rate was 81%, of which 100% in summer. The ranking of WSII concentrations was SO42->NO3->Na+>NH4+>Ca2+>K+>Cl->Mg2+.SNA is the highest water-soluble ions, accounting for 70.1% of the concentration of eight main water-soluble ions. The mean ratio of ρ（NO3-）/ρ（SO42-）was 0.6, indicating that fixed sources such as industrial and agricultural production and fossil fuel combustion emissions, was the major source for particulate pollution. During the 2019 coronavirus epidemic, control measures had a significant impact on the concentration of PM2.5 and SNA in water-soluble ions, and the mean concentration of PM2.5 was reduced by 44.2%. Source apportionment showed that WSIIs in PM2.5 were mainly from fossil fuel combustion, biomass combustion, secondary formation and road construction dust, etc. © 2022 Science Press. All rights reserved.
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Objective To analyze the molecular epidemiological characteristics of the Corona virus disease 2019 (COVID‑19) cases in Shijiazhuang, which can reveal the origin of the outbreak and provide a scientific basis for COVID‑19 prevention and control. Methods From January 2 to January 8, 2021, a total of 404 samples from 170 COVID‑19 cases were collected from the Shijiazhuang Fifth Hospital. The consensus sequence of 2019 novel Coronavirus(2019‑nCoV) was obtained through multiplex polymerase chain reaction‑based sequencing. The sequences of 170 COVID‑19 cases were analyzed by the PANGOLIN, and the data were statistically analyzed by T‑test. Results Among the 404 COVID‑19 samples, a total of 356 samples obtained high quality genome sequences (>95%, 100×sequencing depth). The whole genome sequences of 170 COVID‑19 cases were obtained by eliminating repeated samples. All 170 sequences were recognized as lineage B1.1 using PANGOLIN. The number of single nucleotide polymorphism arrange from 18-22 and most of the single nucleotide polymorphism were synonymous variants. All of 170 genomes could be classified into 48 sub‑groups and most of the genomes were classified into 2 sub‑groups (66 and 31, respectively). Conclusions All cases in this study are likely originated from one imported case. The viruses have spread in the community for a long time and have mutated during the community transmission.
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Xinguan No. 3 has been recommended for the treatment of coronavirus disease 2019 (COVID-19);however, its potential mechanisms are unclear. This study aims to explore the mechanisms of Xinguan No. 3 against COVID-19 through network pharmacology and molecular docking. We first searched the ingredients of Xinguan No. 3 in three databases (Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, Traditional Chinese Medicines Integrated Database, and The Encyclopedia of Traditional Chinese Medicine). The active components and their potential targets were predicted through the SwissTargetPrediction website. The targets of COVID-19 can be found on the GeneCards website. Protein interaction analysis, screening of key targets, functional enrichment of key target genes, and signaling pathway analysis were performed through Search Tool for the Retrieval of Interacting Genes databases, Metascape databases, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway databases. Finally, the affinity of the key active components with the core targets was verified by molecular docking. The results showed that five core targets had been screened, including MAPK1, NF-kappa B1, RELA, AKT1, and MAPK14. Gene ontology enrichment analysis revealed that the key targets were associated with inflammatory responses and responses to external stimuli. KEGG enrichment analysis indicated that the main pathways were influenza A, hepatitis B, Toll-like receptor signaling pathway, NOD-like receptor signaling pathway, and TNF signaling pathway. Therefore, Xinguan No. 3 might play a role in treating COVID-19 through anti-inflammatory, immune responses, and regulatory responses to external stimuli.
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Background: By the end of 2021, the COVID-19 outbreak has led to an increase of 90 million patients with anxiety disorders worldwide, which has had a significant adverse impact on human mental health. Music Therapy is a treatment method that utilizes the huge influence of music on emotions, changes people's emotions through music, and finally achieves the purpose of psychological healing. This study starts with Music Therapy and selects patients with anxiety disorders from a hospital in Hebei Province, China as subjects to explore the therapeutic effect of Music Therapy on patients with anxiety disorders. Subjects and Methods: The S-AI and TAI scores of the subjects were tested before treatment, after five weeks of treatment, and after ten weeks of treatment. And both the variable correlation analysis and t-test were carried out, using SPSS22.0 as the statistical tool. Results: The total STAI score of the experimental group was significantly higher than that of the control group after ten weeks of treatment (t = 164.102, P < 0.001). After five weeks of treatment, the STAI score of the experimental group decreased significantly compared with that before treatment (t = 56.742, P < 0.001). After ten weeks of treatment, the STAI score of the experimental group decreased significantly compared with that after five weeks of treatment (t = 71.155, P < 0.001). Conclusions: Music Therapy improves the patients' physical conditions such as sleep and energy, eating, movement and feeling. It is pain-free, low-cost, simple and easy to implement. Furthermore, it can also improve patients' interpersonal skills, work and study efficiency, as well as leisure and entertainment life satisfaction. It is worthy of promotion in the treatment of patients with generalized anxiety disorders.
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The sudden COVID-19 pandemic has led to unprecedented impact on China's economic and social development, especially on consumer economy. Payment is the most closely related economic activity regarding consumers, the data of which can accurately capture the characteristic of the consumer economy. Given the point of view, this paper makes an in-depth exploration in the research direction of payment data. Based on the transaction data from China UnionPay, this paper quantifies the impact of the epidemic on consumer economy and makes a comparative analysis of different provinces and industries. The paper quantitatively reveals that the epidemic progress significantly affects the consumer confidence and the development of consumer economy. According to our analysis, it is unwise to restart work resumption when the epidemic is still not under effective control. From the perspective of payment, this paper profoundly tells about the story of how China fights against the epidemic and puts forward relevant suggestions for the follow-up epidemic prevention and control as well as the comprehensive economic recovery policies. © 2022, Editorial Office of Journal of Applied Sciences. All right reserved.
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The article aims at evaluating the price development of silver from 2011 to 2021, making a safe prediction of its trend to 2022. The experimental evaluation thereby compared economic growth and economic decline. To fulfil the objective, the presented study involved content analysis and smoothing the time series using multilayer perceptron neural networks. The results show that silver is able to keep its value not only in times when investors cease to rely on money but are also impactful for accumulating the wealth of individuals and legal entities. The research revealed that investors should purchase silver within the first two months of 2022, with the expectation of a double return of their deposit until the end of 2022. This will be achieved unless an increase in transaction costs takes place. The achievement is also conditioned by continued government actions of countries in the event of the COVID-19 pandemic. © 2021 by the authors.
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Hybrid teaching, a typical result of the deep integration of information technology and education, has become increasingly normalized in higher education in the COVID-19 epidemic and post-epidemic era. The teaching model integrates the advantages of online teaching and traditional teaching. However, if online resources are monotonous and offline practices are not well connected with online instruction, the hybrid teaching reforming will only stay on the surface, and the learning effect will decrease rather than improve. Resources and activities are two critical issues to achieve effective hybrid teaching. Specifically, the first is how to construct an online learning resource system suitable for the development of offline teaching, and the second is how to properly use online resources to carry out offline learning activities. This paper proposes a hybrid teaching mode with students as the first perspective by improving the BOPPPS model. The teaching mode makes the combination of online and offline teaching throughout the three stages of pre-class, in-class and after-class, and adopts three closed-loop feedback and three-level participatory interaction. The whole teaching process reflects the dominant position of students in teaching resources, teaching methods, teaching activities, teaching evaluation and so on. The teaching mode can realize the transformation from teacher-centered to student-centered in the teaching process, and realize the transformation of teaching achievement from learning knowledge to having ability. © 2021 IEEE.
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The increasingly meagre copper ore resources constitute one of the decisive factors influencing the price of this commodity. The demand for copper has been showing an accelerating trend since the Covid pandemic broke out. It is thereby imperative to estimate the future price movement of this material. The article focuses on a daily prediction of the forthcoming change in prices of copper on the commodity market. The research data were gathered from day-to-day closing historical prices of copper from commodity stock COMEX converted to a time series. The price is expressed in US Dollars per pound. The data were processed using artificial intelligence, recurrent neural networks, including the Long Short Term Memory layer. Neural networks have a great potential to predict this type of time series. The results show that the volatility in copper price during the monitored period was low or close to zero. We may thereby argue that neural networks foresee the first three months more accurately than the rest of the examined period. Neural structures anticipate copper prices from 4.5 to 4.6 USD to the end of the period in question. Low volatility that would last longer than one year would cut down speculators' profits to a minimum (lower risk). On the other hand, this situation would bring about balance which the purchasing companies avidly seek for. However, the presented article is solely confined to a limited number of variables to work with, disregarding other decisive criteria. Although the very high performance of the experimental prediction model, there is always space for improvement - e.g. effectively combining traditional methods with advanced techniques of artificial intelligence.
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Opinions and practices regarding face masks (FM) to attenuate COVID-19’s spread remains polarized across the United States. We examined whether these attitudes extend to the aviation collegiate community. A 14-question survey was sent to 90 aviation colleges and universities throughout the country. Responses were solicited from students, faculty, and staff. Of the 598 respondents, 77% were students, 13% were faculty, and 10% were staff. Pilots comprised 66% of the respondents. A Principal Component Analysis reduced the questions to two scales: Benefits and Inconvenience. Females, non-pilots, and older respondents reported greater benefits to wearing a FM and fewer inconveniences. A multiple regression showed aviation colleges and universities located in states which had FM mandates, higher likelihood of community compliance, lower rates of COVID-19 in their state, and reports of less inconvenience predicted attitudes of greater benefits of wearing a FM. Additional comments were provided by 28% of the respondents, showing strongly polarized attitudes about the benefits of FMs. Respondents who had negative attitudes about the benefits of wearing FMs, nevertheless reported compliance on college campus. As leaders in education, collegiate aviation has a responsibility to educate their students, faculty, and staff of the importance of public health measures, dispelling misinformation, and modelling behavior to increase compliance with wearing FMs. © 2021, University Aviation Association. All rights reserved.
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Psychological trauma suffered by the group when disaster happened, and it has the following characteristics: Persistence, repeatability and susceptibility. This paper is explore the method of cohesion of community governance function, coupling of social organization and governance, establishment of 'cloud' international public security system. and hoped that through the perspective of social governance to discuss the establishment of social health management system, health media communication and transmission path, community psychological guidance. To achieve the goal that social governance capacity will be improved, social protection network will be well organized, unexpected disasters will be dealt with, so as to ensure the stability of the govern comprehensively and the normal operation of social order. © 2020 IEEE.
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AIM: To analyze the adverse events (AE) of tocilizumab by using the FDA Adverse Event Reporting System (FAERS) database. METHODS: AE reports related to tocilizumab were extracted from the FAERS database. Disproportionality analysis of reporting odds ratio (ROR) and Medicines and Healthcare Products Regulatory Agency (MHRA) methods were performed for safety signal detection. RESULTS: A total of 19 773 reports associated with tocilizumab as the primary or secondary suspected drugs were extracted from the FAERS database between July 2014 to March 2019. AEs of drug ineffective, pain, drug intolerance, fatigue and rash were commonly reported. There were 13 642 serious AE reports, and 602 reports of death outcome. The proportion of serious and death outcome AEs of male patients was significantly higher than female, and these proportions were significantly higher in children and elderly compared with others. Respectively 602 and 490 of tocilizumab signals were detected by ROR method and MHRA method, including common AEs such as infection, drug hypersensitivity, leukopenia, and hepatic enzyme increased, and signals not indicated in label, for instance, pulmonary fibrosis, interstitial lung disease, pancreatic toxicity and demyelination, were also detected. CONCLUSION: The commonly reported AEs of tocilizumab include drug inefficiency, pain, drug intolerance, fatigue and rash. Pulmonary fibrosis, interstitial lung disease, pancreatic toxicity and demyelination, which not indicated in label, should be further assessed and be cautious in COVID-19 treatment.