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With the development and progress of intelligent algorithms, more and more social robots are used to interfere with the information transmission and direction of international public opinion. This paper takes the agenda of COVID-19 in Twitter as the breakthrough point, and through the methods of web crawler, Twitter robot detection, data processing and analysis, aims at the agenda setting of social robots for China issues, that is, to carry out data visualization analysis for the stigmatized China image. Through case analysis, concrete and operable countermeasures for building the international communication system of China image were provided. © 2022 IEEE.
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The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has claimed millions of lives and caused innumerable economic losses worldwide. Unfortunately, state-of-the-art treatments still lag behind the continual emergence of new variants. Key to resolving this issue is developing antivirals to deactivate coronaviruses regardless of their structural evolution. Here, we report an innovative antiviral strategy involving extracellular disintegration of viral proteins with hyperanion-grafted enediyne (EDY) molecules. The core EDY generates reactive radical species and causes significant damage to the spike protein of coronavirus, while the hyperanion groups ensure negligible cytotoxicity of the molecules. The EDYs exhibit antiviral activity down to nanomolar concentrations, and the selectivity index of up to 20,000 against four kinds of human coronavirus, including the SARS-CoV-2 Omicron variant, suggesting the high potential of this new strategy in combating the COVID-19 pandemic and a future "disease X."
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Background: ALG-000184 is a prodrug of ALG-001075, a novel, potent, pan-genotypic Class II CAM. CAMs are thought to have two mechanisms of action (MoA). The primary MoA affects pgRNA encapsidation resulting in inhibition of HBV DNA/RNA replication, as confirmed in CHB subjects receiving ALG-000184. The secondary MoA, which occurs at higher concentrations, regulates the establishment and replenishment of cccDNA, resulting in lowering of HBsAg, an effect that has not been reported to date with ALG- 000184. Method(s): ALG-000184-201 is a multi-part, multicenter, doubleblind, randomized, placebo-controlled study. In healthy volunteers (HVs), single doses up to 500 mg and multiple doses up to 250 mg were well tolerated with linear PK (Gane E., HBV TAG and APASL 2021). In treatment naive (TN) subjects with CHB, daily oral doses of 10-100 mg ALG-000184 for 28 days were well tolerated with linear PK and were associated with profound reductions of DNA/RNA regardless of HBeAg status or dose (Yuen MF, EASL 2022). Plasma exposures required to engage the secondary MoA are expected to be achieved at the 300 mg dose level. Data from a 300 mg cohort treated for 28 days are described here. Data from another ongoing cohort treated with 300 mg for 12 weeks will be presented at the conference. Result(s): Ten subjects were randomized to 300 mg ALG-000184 for 28 days and two to placebo. Two subjects randomized to ALG- 000184 were replaced due to missing data due to Covid-19 lockdown. Subjects were Asian, HBeAg positive, and genotype B or C. Mean baseline HBV DNA and RNA levels were 8.4 log10 IU/mL and 7.3 log10 copies/mL, respectively. One subject experienced a serious adverse event (AE) of pneumothorax>8 weeks after last dose which was considered unlikely related to study drug. No subjects prematurely discontinued study drug. All treatment emergent AEs were Grade <= 2 except for 4 Grade >= 3 alanine aminotransferase (ALT) elevations, which an independent ALT Flare Committee assessed as not related to study drug toxicity. PK was similar to HBeAg negative and HV cohorts following body weight adjustment. Subjects dosed with 300 mg ALG-000184 experienced mean declines of 4.0 log10 IU/mL and 2.6 log10 copies/mL in HBV DNA and RNA levels, respectively, at Day 28. Three of 7 evaluable subjects who received ALG-000184 had HBsAg declines>0.2 log10 IU/mL (0.23-0.78 log10 IU/mL). One subject receiving ALG-000184 had unquantifiable HBsAg throughout the study. Additionally, one HBeAg positive subject in a prior 100 mg cohort had plasma exposures equivalent to the 300 mg dose level and experienced a 0.5 log10 IU/mL HBsAg decline. Conclusion(s): In TN HBeAg positive CHB subjects, 300 mg ALG- 000184 for 28 days was well tolerated, exhibited predictable PK and resulted in rapid and substantial declines in HBV DNA and RNA. Notably, 3 of 7 evaluable subjects from this cohort experienced HBsAg declines of up to 0.78 log10 IU/mL. These data suggest that ALG-000184 can engage the secondary MoA of CAM II. Cohorts evaluating 300 mg over longer durations are planned or ongoing.
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Ninety-six million people are symptomatically infected with Dengue globally every year. Under the current standard-of-care, up to 20% of Dengue patients may be hospitalized, while only 500,000 develop Dengue Haemorrhagic Fever (DHF) and require hospitalization. This leads to unnecessary overwhelming of hospitals in tropical countries during large Dengue epidemics, especially when healthcare systems are grappling with large numbers of COVID-19 patients. Our research team set out to discover biomarkers to prognosticate Dengue patients, and augment the infectious disease clinician's decision-making process to hospitalize Dengue patients. Host biomarkers with concentrations significantly different between pooled serum samples of Dengue Fever (DF) patients and DHF patients were identified using protein array. The prognostication capabilities of selected biomarkers were then validated over 283 adult Dengue patients recruited from three Singapore tertiary hospitals, prior to the diagnosis of DHF. Three biomarkers (A2M, CMA1 and VEGFA) were identified that provide independent prognostication value from one another, and from clinical parameters commonly monitored in Dengue patients. The combination of all three biomarkers was able to identify from as early as Day 1 after the onset of fever, DF patients whose conditions will deteriorate into DHF. The biomarkers are robust and able to predict DHF well when trained on different AI/ML algorithms (logistic regression, support vector machine, decision tree, random forest, AdaBoost and gradient boosting). When stacked, prediction models based on the biomarkers were able to predict DHF with 97.3% sensitivity, 92.7% specificity, 66.7% PPV, 99.6% NPV and an AUC of 0.978. To the best of our knowledge, our panel of three biomarkers offers the highest accuracy in prognosticating Dengue to date. Further studies are required to validate the biomarkers in different geographical settings and pilot their implementation as part of the standard-of-care workflow for Dengue patients. [ FROM AUTHOR] Copyright of International Journal of Infectious Diseases is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Increasing amounts of surfactants are used and emitted into the environment due to the COVID-19 pandemic, posing potential threats to ecological health. Algal-bacterial aerobic granular sludge (A-BAGS), with the advantages of compact structure, high-efficient nutrient uptake, and high tolerance to harsh conditions, was attempted in this study to treat surfactant-containing wastewater at relatively high concentrations. The treatment performance was also compared to bacterial AGS (BAGS). Results showed that A-BAGS is preferable for treating wastewater containing a high SDS concentration (30 mg/L), achieving nutrient removal efficiency of 86.3 % for organic carbon, 60.5 % for total nitrogen, and 58.7 % for total phosphorus within a short duration, compared to 70.1 %, 52.8 % and 42.3 % in BAGS reactor. Besides, the removal rate of ammonia nitrogen by A-BAGS was much faster than that of BAGS. The above results confirmed that A-BAGS is a promising technology for treating surfactant-containing wastewater with high nutrient removal efficiency being maintained.Copyright © 2023 Elsevier Ltd
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In this paper, a new method for obtaining the basic reproduction number is proposed, called the path analysis method. Compared with the traditional next-generation method, this method is more convenient and less error-prone. We develop a general model that includes most of the epidemiological characteristics and enumerate all disease transmission paths. The path analysis method is derived by combining the next-generation method and the disease transmission paths. Three typical examples verify the effectiveness and convenience of the method. It is important to note that the path analysis method is only applicable to epidemic models with bilinear incidence rates. The Volterra-type Lyapunov function is given to prove the global stability of the system. The simulations prove the correctness of our conclusions.
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COVID-19 pandemic has paused many ongoing research projects and unified researchers' attention to focus on COVID-19 related issues. Our project traces 712,294 scientists' publications related to COVID-19 for two years, from January 2020 to December 2021, in order to detect the dynamic evolution patterns of COVID-19 collaboration network over time. By studying the collaboration network of COVID-19 scientists, we observe how a new scientific community has been built in preparation for a sudden shock. The number of newcomers grows incrementally, and the connectivity of the collaboration network shifts from loose to tight promptly. Even though every scientist has an equal opportunity to start a study, collaboration disparity still exists. Following the scale-free distribution, only a few top authors are highly connected with other authors. These top authors are more likely to attract newcomers and work with each other. As the collaboration network evolves, the increase rate in the probability of attracting newcomers for authors with higher degree increases, whereas the increase rates in the probability of forming new links among authors with higher degree decreases. This highlights the interesting trend that COVID pandemic alters the research collaboration trends that star scientists are starting to collaborate more with newcomers, but less with existing collaborators, which, in certain way, reduces the collaboration disparity. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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INTRODUCTION: This study explored the impact of online learning during the coronavirus disease 2019 (COVID-19) pandemic on asthenopia and vision impairment in students, with the aim of establishing a theoretical basis for preventive approaches to vision health. METHODS: This balanced panel study enrolled students from western rural China. Participant information was collected before and during the COVID-19 pandemic via questionnaires administered at local vision care centres, along with clinical assessments of visual acuity. Paired t tests and fixed-effects models were used to analyse pandemic-related differences in visual status. RESULTS: In total, 128 students were included (mean age before pandemic, 11.82 ± 1.46 years). The mean total screen time was 3.22 ± 2.90 hours per day during the pandemic, whereas it was 1.97 ± 1.90 hours per day in the pre-pandemic period (P<0.001). Asthenopia prevalence was 55% (71/128) during the pandemic, and the mean visual acuity was 0.81 ± 0.30 logarithm of the minimum angle of resolution; these findings indicated increasing vision impairment, compared with the pre-pandemic period (both P<0.001). Notably, asthenopia prevalence increased by two- to three-fold, compared with the pre-pandemic period. An increase in screen time while learning was associated with an increase in asthenopia prevalence (P=0.034). CONCLUSION: During the COVID-19 pandemic, students spent more time on online classes, leading to worse visual acuity and vision health. Students in this study reported a significant increase in screen time, which was associated with increasing asthenopia prevalence and worse vision impairment. Further research is needed regarding the link between online classes and vision problems.
Subject(s)
Asthenopia , COVID-19 , Humans , Child , Adolescent , COVID-19/epidemiology , Asthenopia/epidemiology , Pandemics , Prevalence , Students , China/epidemiologyABSTRACT
COVID-19 pandemic has paused many ongoing research projects and unified researchers' attention to focus on COVID-19 related issues. Our project traces 712,294 scientists' publications related to COVID-19 for two years, from January 2020 to December 2021, in order to detect the dynamic evolution patterns of COVID-19 collaboration network over time. By studying the collaboration network of COVID-19 scientists, we observe how a new scientific community has been built in preparation for a sudden shock. The number of newcomers grows incrementally, and the connectivity of the collaboration network shifts from loose to tight promptly. Even though every scientist has an equal opportunity to start a study, collaboration disparity still exists. Following the scale-free distribution, only a few top authors are highly connected with other authors. These top authors are more likely to attract newcomers and work with each other. As the collaboration network evolves, the increase rate in the probability of attracting newcomers for authors with higher degree increases, whereas the increase rates in the probability of forming new links among authors with higher degree decreases. This highlights the interesting trend that COVID pandemic alters the research collaboration trends that star scientists are starting to collaborate more with newcomers, but less with existing collaborators, which, in certain way, reduces the collaboration disparity. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Objective To analyze the detection of SARS-CoV-2 in household environment and public place environment of Huangpu District, and describe the feature of SARS-CoV-2 contamination in the environment exposure to the infected cases, so as to support the control strategies such as disinfection and health communication. Methods The results of RT-PCR test for the environmental samples exposure to the cases infected by SARS-CoV-2 during February 1 to March 31 2022 in Huangpu District of Shanghai were collected as the research data. Pearson χ2 was used to test the significance of the differences between positive rates of SARS-CoV-2 contamination. Results From February 1 to March 31, household environment samples had a higher positive rate (6.47%, 234/3 618) of SARS-CoV-2 contamination while the public place samples had a lower one (1.22%, 47/3 582) in Huangpu District of Shanghai (χ2=141.908, P<0.01). Among the household buildings, the lane houses of old style representing poorer living condition had the highest positive rates (8.31%, 96/1 155) of SARS-CoV-2 contamination while the apartments representing better living condition had the lowest (3.59%, 22/612) (F=5.25 P<0.05). Among the samples from household environment, samples regarding sewerage had the highest positive rates (13.30%, 58/436) of SARS-CoV-2 contamination, while samples regarding the tool of cooking and sweeping had the lowest (3.10%, 17/548) (F=9.84 P<0.01). Among the samples from public place environment, samples regarding entertainment tools had the highest positive rates (13.33%, 2/15) of SARS-CoV-2 contamination, while samples regarding the tool of cooking and sweeping had the lowest (0.62%, 4/646) (F=4.22 P<0.01). Conclusion In the environment exposure to the SARS-CoV-2 infected cases, the disinfection, ventilation and cleaning should be intensified strictly. SARS-CoV-2's surviving in sewage environment should be evaluation dynamically. More health communication should be pushed to people of poorer living condition. © 2022 Editorial Office of Chinese Journal of Schistosomiasis Control. All rights reserved.
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Humans are facing an unprecedented historical crisis and challenge. To identify the strategies that we can use to cope with historical crisis and challenge, we should investigate two well-studied strategies: "slow strategy, ” which is essentially an investment in the future, and "fast strategy” or "live fast, die young.” According to "The Ant and the Grasshopper, ” Aesop's fable, which is under the pretext of intertemporal choice of social insects, the "slow” rather than the "fast” strategy is recommended for those who want to survive the environmental crisis. Intertemporal choice requires tradeoffs among outcomes whose effects occur at different times. In the commonly accepted language of intertemporal choice, the Ant, whose choice is the "larger but later” (LL) option, is more likely to survive the harsh winter than the Grasshopper, whose choice is the "smaller but sooner” (SS) option. To determine the optimal intertemporal choice strategy that can help us to cope with the COVID-19 pandemic, we included 26, 355 participants from 18 Asian, African, European, American, and Oceanian countries in the present study. We investigated the participants' preferences in intertemporal choice with double-dated mixed outcomes, evaluated the degree of change in their intertemporal choice by differentiating the common currency in peacetime and epidemic time (i.e., two kinds of change indicators used for differentiating currencies and stages, respectively). We then asked them to rate their self-rated surviving achievement in the fight against COVID-19. Considering that individuals' surviving achievements were affected by individual-and religious-level factors, we analyzed all data by using multilevel linear analysis to reflect the data's hierarchical structure. After considering individual differences in personal factors and religious factors, we constructed two-level models to explore the effects of the change in intertemporal choice on self-rated surviving achievement, and measured the moderating role of cultural orientation in terms of Hofstede's six culture dimensions. The findings of the cross-national survey revealed that Change Indicator 1 (∆ currency) and Change Indicator 2 (∆ stage) of Chinese/Singaporeans could jointly predict their self-rated surviving achievement. Meanwhile, only Change Indicator 2 (∆ stage) alone could predict the self-rated surviving achievement of people in the cultural circle that included the India, Malaysia, Philippines, and Nigeria. Neither Change Indicator 1 (∆ currency) nor Change Indicator 2 (∆ stage) of the people in other cultures could significantly predict their self-rated surviving achievement. On the basis of the gist of The Book of Change and the resulting findings, we suggested that 1) how you differentially (flexibly) made an intertemporal choice in peacetime and epidemic time would reflect the extent to which you would survive the war against COVID-19. In addition, 2) the mindset of change might shape the competitive advantage of a nation, such as China, in response to the historical crisis. The closer the cultural distance of a country or nation from China, the greater the possibility of benefitting from a similar competitive advantage. It is our hope that our findings would contribute to answer the question of what are "Psychological Characteristics and Behaviors of Chinese People in Response to Historical Crisis?”. © 2023, Science Press. All rights reserved.
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The COVID-19 crisis has led to an unusually large number of commercial aircraft being currently parked or stored. For airlines, airports, and civil aviation authorities around the world, monitoring, and protecting these parked aircraft to prevent them from causing human-made damage are becoming urgent problems that are receiving increasing attention. In this study, we use thermal infrared monitoring videos to establish a framework for individual surveillance around parked aircraft by proposing a human action recognition (HAR) algorithm. As the focus of this article, the proposed HAR algorithm seamlessly integrates a preprocessing module in which a novel data structure is constructed to introduce spatiotemporal information of the action;a convolutional neural network-based module for spatial feature extraction;a triple-layer convolutional long short-term memory network for temporal feature extraction;and two fully connected layers for classification. Moreover, because no infrared dataset is available for the HAR task on airport grounds at nighttime, we present a dataset called IIAR-30, which consists of eight action categories that frequently occur on airport grounds and 2000 video clips. The experimental results on the IIAR-30 dataset demonstrated that the recognition accuracy of the proposed method was higher than 96%. We also further evaluated the effectiveness of the proposed method by comparing it with five baselines and four other methods. © 2022 IEEE.
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Human-beings are suffering from the rapid spread of COVID-19 throughout the world. In order to quickly identify, quarantine and cure the infected people, and to stop further infections, it is crucial to expose those origins who have been infected but are asymptomatic. However, this task is not easy, especially when the rigid security and privacy constraints on health records are taken into consideration. In this paper, we develop a new method to solve this problem. In the outbreak of a disease like COVID-19, the proposed method can find hidden infected people (or communities) through volunteered share of health data by some mobile users. Such volunteers only reveal whether they are healthy or infected e.g. through they mobile apps. This approach minimises health data disclosure and preserves privacy for the others. There are three steps in the proposed method. First, we borrow the idea from traditional epidemiology and design a novel algorithm to estimate the number of infection origins based on a Susceptible-Infected model. Second, we introduce the concept of 'heavy centre' to locate those origins. The probability of each node being infected will then be derived by building a spreading model based on the origins. To evaluate our method, we conduct a series of experiments on various networks with different structures. We examine the performance in estimating the number of origins as well as their origins. The results show that the proposed method yields higher accuracies than the existing methods, even when the fraction of volunteers is small. © 2001-2012 IEEE.
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The outbreak of COVID-19 pandemic has spread rapidly and severely affected all aspects of human lives. Recent researches has shown artificial intelligence and deep learning based approaches have achieved successful results in detecting diseases. How to accurately and quickly detect COVID-19 has always been the core topic of research. In this paper, we propose a novel approach based on prompt learning for COVID-19 diagnosis. Different from the traditional 'pre-training, fine-tuning' paradigm, we propose the prompt-based method that redefine the COVID-19 diagnosis as a masked predict task. Specifically, we adopt an attention mechanism to learn the multi-modal representation of medical image and text, and manually construct a cloze prompt template and a label word set. Selecting the label word corresponding to the maximum probability by pre-training language model. Finally, mapping the prediction results to the disease categories. Experimental results show that our proposed method obtains obvious improvement of 1.2% in terms of Mi-F1 score compared with the state-of-the-art methods. © 2022 IEEE.
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The continual transmission of epidemics makes health workers aware of the importance of airborne transmission in special cases. The well-known equation Wells-Riley highlights the importance of ventilation to dilution of infectious aerosol as well. And the airborne transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been confirmed. The main problem of the coronavirus disease 2019 (COVID-19) epidemic of three families in a restaurant in Guangzhou lies in unreasonable ventilation. An air-conditioning system of Ceiling radiant cooling plate (CRCP) combined with a dedicated outdoor air system (DOAS) has been proposed in this paper. The simulation of the diffusion of tiny exhaled droplets is carried out through SF6 tracer gas. A numerical simulation of the original indoor air distribution of the restaurant and that of the new air-conditioning system has been conducted. Pollutant concentrations of different indoor locations and exposure indexes under four working conditions of ventilation rates 3, 6, 9, and 12 ACH are calculated. The results suggest that the air supply mode of air conditioners put forward in this paper can decrease the risk of indoor infection to a large extent. When the ventilation rate is 1L/s, the probability of infection is very high. With the increase in ventilation times, the risk of infection gradually decreases. Offering suitable ventilation in crowded spaces can greatly prevent and control the air transmission of coronavirus. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/)
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The outbreak of COVID-19 pandemic has spread rapidly and severely affected all aspects of human lives. Recent researches has shown artificial intelligence and deep learning based approaches have achieved successful results in detecting diseases. How to accurately and quickly detect COVID-19 has always been the core topic of research. In this paper, we propose a novel approach based on prompt learning for COVID-19 diagnosis. Different from the traditional 'pre-training, fine-tuning' paradigm, we propose the prompt-based method that redefine the COVID-19 diagnosis as a masked predict task. Specifically, we adopt an attention mechanism to learn the multi-modal representation of medical image and text, and manually construct a cloze prompt template and a label word set. Selecting the label word corresponding to the maximum probability by pre-training language model. Finally, mapping the prediction results to the disease categories. Experimental results show that our proposed method obtains obvious improvement of 1.2% in terms of Mi-F1 score compared with the state-of-the-art methods. © 2022 IEEE.
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Objective: Ixekizumab is a high-affinity monoclonal antibody that selectively targets interleukin-17A and is approved for treating moderate-to-severe psoriasis. This phase 3, multicenter, randomized, double-blind, placebo-controlled trial (NCT03364309;registered December 6, 2017) evaluated the safety and efficacy of ixekizumab in Chinese patients with moderate-to-severe psoriasis. Method(s): 438 patients were randomized 2:2:1 to 80 mg ixekizumab every 2 weeks (IXE Q2W, n = 176), 80 mg ixekizumab every 4 weeks (IXE Q4W, n = 174), or placebo (n = 88). Efficacy was assessed by evaluating the static Physician's Global Assessment score of 0 or 1 (sPGA [0,1]) and Psoriasis Area and Severity Index (PASI) 75/90/100 responses, and nonresponder imputation was used for handling missing data. The safety profile was evaluated by assessing treatment emergent adverse events (AEs) and serious AEs. Result(s): At week 12, the sPGA (0,1) response rates were 3.4%, 79.9%, and 86.4% in the placebo, IXE Q4W, and IXE Q2W groups, respectively. The PASI 75/90/100 response rates were 8.0%/2.3%/0.0%, 87.4%/75.9%/29.3%, and 93.8%/82.4%/33.0% in the placebo, IXE Q4W, and IXE Q2W groups, respectively. Ixekizumab led to rapid PASI 50 responses, as early as week 1, whereas PASI 75 and sPGA (0,1) responses were observed from week 2. sPGA (0,1) and sPGA (0) responses were maintained through week 60 in a higher proportion of patients receiving IXE Q4W vs. placebo. The safety profile was consistent with previous studies of ixekizumab in psoriasis. Conclusion(s): Ixekizumab showed a rapid onset of action and high efficacy that was maintained through 60 weeks and was well tolerated with no unexpected AEs, in Chinese patients with moderate-to-severe plaque psoriasis. Copyright © 2022 International Journal of Dermatology and Venereology. All right reserved.
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As the COVID-19 continues threatening public health worldwide, when to vaccinate the booster shots becomes the hot topic. In this paper, based on the characteristics of COVID-19 and its vaccine, an SAIR model associated with temporary immunity is proposed to study the effect on epidemic situation. Second, we theoretically analyze the existence and stability of equilibrium and the system undergoes Hopf bifurcation when delay passes through some critical values. Third, we study the dynamic properties of Hopf bifurcation and derive the normal form of Hopf bifurcation to determine the stability and direction of bifurcating periodic solutions. After that, numerical simulations are carried out to demonstrate the application of the theoretical results. Particularly, in order to ensure the validity, statistical analysis of data is conducted to determine the values for model parameters. Next, we study the impact of the infection rates on booster vaccination time to simulate the mutants, and the results are consistent with the facts. Finally, we predict the mean time of completing a round of vaccination worldwide with the help fitting and put forward some suggestions by comparing with the critical time of booster vaccination.
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Humans are facing an unprecedented historical crisis and challenge. To identify the strategies that we can use to cope with historical crisis and challenge, we should investigate two well-studied strategies: "slow strategy, ” which is essentially an investment in the future, and "fast strategy” or "live fast, die young.” According to "The Ant and the Grasshopper, ” Aesop's fable, which is under the pretext of intertemporal choice of social insects, the "slow” rather than the "fast” strategy is recommended for those who want to survive the environmental crisis. Intertemporal choice requires tradeoffs among outcomes whose effects occur at different times. In the commonly accepted language of intertemporal choice, the Ant, whose choice is the "larger but later” (LL) option, is more likely to survive the harsh winter than the Grasshopper, whose choice is the "smaller but sooner” (SS) option. To determine the optimal intertemporal choice strategy that can help us to cope with the COVID-19 pandemic, we included 26, 355 participants from 18 Asian, African, European, American, and Oceanian countries in the present study. We investigated the participants' preferences in intertemporal choice with double-dated mixed outcomes, evaluated the degree of change in their intertemporal choice by differentiating the common currency in peacetime and epidemic time (i.e., two kinds of change indicators used for differentiating currencies and stages, respectively). We then asked them to rate their self-rated surviving achievement in the fight against COVID-19. Considering that individuals' surviving achievements were affected by individual-and religious-level factors, we analyzed all data by using multilevel linear analysis to reflect the data's hierarchical structure. After considering individual differences in personal factors and religious factors, we constructed two-level models to explore the effects of the change in intertemporal choice on self-rated surviving achievement, and measured the moderating role of cultural orientation in terms of Hofstede's six culture dimensions. The findings of the cross-national survey revealed that Change Indicator 1 (∆ currency) and Change Indicator 2 (∆ stage) of Chinese/Singaporeans could jointly predict their self-rated surviving achievement. Meanwhile, only Change Indicator 2 (∆ stage) alone could predict the self-rated surviving achievement of people in the cultural circle that included the India, Malaysia, Philippines, and Nigeria. Neither Change Indicator 1 (∆ currency) nor Change Indicator 2 (∆ stage) of the people in other cultures could significantly predict their self-rated surviving achievement. On the basis of the gist of The Book of Change and the resulting findings, we suggested that 1) how you differentially (flexibly) made an intertemporal choice in peacetime and epidemic time would reflect the extent to which you would survive the war against COVID-19. In addition, 2) the mindset of change might shape the competitive advantage of a nation, such as China, in response to the historical crisis. The closer the cultural distance of a country or nation from China, the greater the possibility of benefitting from a similar competitive advantage. It is our hope that our findings would contribute to answer the question of what are "Psychological Characteristics and Behaviors of Chinese People in Response to Historical Crisis?”. © 2023, Science Press. All rights reserved.