Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 46
Filter
Add filters

Year range
1.
Economic Research-Ekonomska Istrazivanja ; 36(1):614-633, 2023.
Article in English | Scopus | ID: covidwho-2246845

ABSTRACT

COVID-19 has slowed the growth of, the global economy, which has certain practical significance. Consequently, this study seeks to analyze the investment opportunities in the medical sector before and after the COVID-19 outbreak. In this study, the Markowitz mean–variance (MV) model, capital asset pricing model (CAPM), and correlation models are constructed based on the principle of Markowitz MV and correlation analysis. Simultaneously, statistical analysis is used to verify the analysis, and the MATLAB statistical tool is used to build the model. The results show that the actual expected yield of China's medical sector is significantly higher than that calculated by the CAPM before and after the pandemic, and that the investment value of the medical sector is undervalued by the market. From the perspective of risk, China's medical sector has a stable systemic risk premium. Based on the above analysis, when building investment portfolios in the post-pandemic era, investors should appropriately allocate stocks in the medical and pharmaceutical sectors to improve the portfolio income and diversify the investment risk. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

2.
Technology in Society ; 72, 2023.
Article in English | Scopus | ID: covidwho-2246640

ABSTRACT

Initiatives for marine conservation are funded by revenue from marine sites. However, the emergence of COVID-19 has restricted travelling, thus leading to decreased revenue and weakening conservation efforts. Virtual reality technology to support marine conservation efforts is explored as it allows users to experience marine sites, without having to be there physically. This study examines factors influencing users' desire to adopt virtual reality technology in marine ecotourism. With the integration of Stimulus-Organism-Response framework and three behavioural theories (i.e. health belief model, attitude, and eTrust), a hypothetical model was constructed to investigate consumers' intention to adopt virtual reality technology in marine ecotourism amidst the pandemic. The data were analysed and interpreted using structural equation modelling after 451 survey responses were obtained via an online questionnaire. Outcome expectation, perceived susceptibility, perceived severity, self-efficacy, and cues to action exhibit significant positive effects on attitude towards virtual reality technology in marine ecotourism. Consequently, attitude has a direct and indirect influence on use intention via eTrust. Post hoc analysis revealed that self-efficacy has a direct impact on eTrust and use intention. Total effect analysis further concluded that attitude has the greatest influence on use intention of virtual reality technology in marine ecotourism. This research contributes to the existing literature by utilizing health belief factors to explain use intention of technology towards marine conservation efforts. Recommendations including policy formulation and marketing initiatives were generated for marine ecotourism operators and policymakers. © 2022 Elsevier Ltd

3.
Composites Communications ; 37, 2023.
Article in English | Scopus | ID: covidwho-2246435

ABSTRACT

The hazards of epoxy resin (EP) are not only reflected in the large amount of smoke and heat released during combustion, but also in the long survival time of bacterial on their surfaces at a time when COVID-19 are prevalent. Therefore, it is crucial to improve the antibacterial properties and fire-resistance of EP. Herein, this paper reports a multifunctional nanoparticle (Cu2O@KF) to overcome this issue. It is found that Cu2O@KF can confer great fire-resistance (LOI = 34.7% and pHRR reduced by 56.3%), antibacterial properties (over 99.99% antibacterial efficiency), and mechanical properties (hardness and Young's modulus increased by 80.0% and 24.0%, respectively) at a low loading level (7 wt%). These ideal characteristics are derived from the multi-synergistic properties among Cu2O and KF. © 2022

4.
Econ Anal Policy ; 77:51-63, 2023.
Article in English | PubMed | ID: covidwho-2246243

ABSTRACT

After the pandemic, China's fiscal and monetary authorities implemented macroeconomic restructuring measures to combat the pandemic. Using a difference-in-difference model based on data collected during the COVID-19 phase, this study attempted to determine the economic recovery in China using the pandemic means for economic growth and energy consumption in other economies. A 0.21 percent increase in the western region's economic growth is comparable to a 0.15 percent increase in the growth of the southern central and northern regions during the pandemic period. Accordingly, we found evidence of actual provincial spillover effects in the clustering of high- and poor-performing regions. The impact of China's economic resurgence beyond the pandemic phase plays an important role in expanding power consumption in different regions. Since headwinds hamper economic development to aggregate output, fiscal policy is the sole option for maintaining pollution levels while simultaneously improving household well-being in terms of demand and employment.

5.
Acta Psychologica Sinica ; 55(2):192-209, 2023.
Article in English | Scopus | ID: covidwho-2246229

ABSTRACT

In our complex social environments, life situations are ever-changing. When dealing with these changes, there is no one-size-fits-all response or regulatory strategy suitable for all situations. Emotion regulation flexibility (ERF)—a framework for understanding individual differences in adaptive responding to ever-changing life contexts—emphasizes that individuals can flexibly deploy and adjust emotion regulation strategies according to specific characteristics of stressful situations in daily life. To achieve regulatory efficacy, it is important that one can utilize a balanced profile of ER strategies and select strategies that fit well with particular stressful situations. Specifically, using multiple ER strategies in daily life, rather than relying on only single-strategies, would indicate higher ERF. Additionally, based on leading models of strategy-situation fit, certain ER strategies are more appropriate for high versus low intensity stressful events. For instance, distraction involves with shielding oneself from negative stimuli and replacing them with irrelevant things, which may have a greater regulatory effect in high-intensity negative situations. Conversely, strategies such as reappraisal, which involves the processing of negative situations through deep cognitive change, may be more effective in lower-intensity negative situations and as a cornerstone of longer-term ER. We used the experience-sampling method (ESM) to quantify individual's ERF;more specifically we assess participants for 1) having more or less balanced ER strategy profiles and 2) showing greater strategy-situation fit, in regard to the use of distraction versus reappraisal in the regulation of high-intensity versus low-intensity negative life events. To test the adaptive value of ERF on negative emotions and mental health, we investigated the influence of ERF on depressive and anxiety symptoms in two samples. We hypothesized that individuals with a more balanced profile of ER strategy use and a great level of strategy-situation fit would have higher levels of mental health, indicated by low levels of anxiety and depressive feelings. In sample 1, two hundred eight college students finished the ESM procedure (2859 beeps). Intensity of negative situations was measured by self-reported negative feelings for the time points where participants reported an adverse event. Simultaneously, we assessed participants' use of two ER strategies (i.e., distraction and reappraisal). Considering the negative impact of COVID-19 on people's daily life, we collected another sample (sample 2, 3462 beeps) with one hundred people who lived in Hubei Province, where Wuhan was in lockdown during the severe phase of COVID-19 (March 7-13, 2020). We measured intensity of negative situations (by averaging individuals' negative feelings), as well as the use of two ER strategies at corresponding time points. After completing the ESM procedure, the participants were asked to fill out a series of emotional health questionnaires, including Beck Depression Inventory-II, Beck Anxiety Inventory and Spielberger State Anxiety Scale. Multilevel models were used to fit the covariation between the use of distraction versus reappraisal ER strategies and the intensity of negative events. Additionally, we used multiple level regression models to test whether high level of strategy-situation fit would result in lower negative feelings. To test whether a single-strategy preference would lead to higher levels of anxiety and depressive feelings compared to a multiple-strategy preference, latent profile analyses (LPA) was used. Results from the LPA indicated that individuals with preferences for rumination and express suppression reported higher levels depression and anxiety than individuals with a multi-strategy preference. In the multilevel models, results of the two independent samples both suggested individuals who were more inclined to use a higher level of distraction in response to high-intensity negative situations (e.g., adverse events or during COVID-19) and use hi her levels of reappraisal during low-intensity situations (i.e., high level of ERF) reported lower levels of anxiety and depressive feelings. On the converse, individuals who tended to use more distraction in low intensity situations and more reappraisal in high intensity situations, (i.e., those showing lower ERF) reported a higher level of negative feelings. Together, our findings revealed a negative relationship between ERF and mental health problems in two samples, suggesting that having balanced ER profiles and flexibly deploying strategies in specific life contexts may have adaptive value in facilitating positive mental health. This work deepens our understanding of the interaction between ER strategies and situational demands, paving the way for future intervention research to help alleviate negative emotions associated with affective disorders or the experience of major traumatic events (such as epidemics, earthquakes, etc.). © The Authors.

6.
Building Simulation ; 16(2):205-223, 2023.
Article in English | Scopus | ID: covidwho-2246225

ABSTRACT

Since the coronavirus disease 2019, the extended time indoors makes people more concerned about indoor air quality, while the increased ventilation in seeks of reducing infection probability has increased the energy usage from heating, ventilation, and air-conditioning systems. In this study, to represent the dynamics of indoor temperature and air quality, a coupled grey-box model is developed. The model is identified and validated using a data-driven approach and real-time measured data of a campus office. To manage building energy usage and indoor air quality, a model predictive control strategy is proposed and developed. The simulation study demonstrated 18.92% energy saving while maintaining good indoor air quality at the testing site. Two nationwide simulation studies assessed the overall energy saving potential and the impact on the infection probability of the proposed strategy in different climate zones. The results showed 20%–40% energy saving in general while maintaining a predetermined indoor air quality setpoint. Although the infection risk is increased due to the reduced ventilation rate, it is still less than the suggested threshold (2%) in general. © 2022, Tsinghua University Press.

7.
Colloids and Surfaces A: Physicochemical and Engineering Aspects ; 656, 2023.
Article in English | Scopus | ID: covidwho-2245876

ABSTRACT

The consumption of famciclovir (FCV) has been increased dramatically since the outbreak of coronavirus in 2019, and the pollution and harm of FCV in waters are concerned. Here, by utilizing aryl halides on 2, 4, 6-tris(4-bromophenyl)− 1, 3, 5-triazine (BPT) and primary amine groups on benzidine (BZ), a novel conjugated microporous polymer, namely BPT-BZ-CMP, was synthesized by Buchwald–Hartwig coupling reaction and applied in the removal of FCV from aqueous solution firstly. The synthesized BPT-BZ-CMP were characterized by various methods, including FTIR, SEM, BET, and Zeta–potential. Due to the micropore structure and high specific surface area, it took only 30 min for BPT-BZ-CMP to adsorb FCV to reach an equilibrium, and the maximum adsorption capacity was 347.8 mg·g−1. The Liu and pseudo-second-order kinetic models properly fit the adsorption equilibrium and kinetic data, respectively. The adsorption process was a spontaneous process, and the hydrogen bonding, π–π interaction and C–H···π interaction enhanced the adsorption of FCV on BPT-BZ-CMP. BPT-BZ-CMP maintained a good adsorption capacity after four consecutive adsorption–desorption cycle experiments. This study confirmed the potential of BPT-BZ-CMP as efficient sorbent to remove FCV from aqueous solutions. © 2022 Elsevier B.V.

8.
Environment and Planning B: Urban Analytics and City Science ; 50(1):60-75, 2023.
Article in English | Scopus | ID: covidwho-2245827

ABSTRACT

Using open-source data, we show that despite significant reductions in global public transit during the COVID-19 pandemic, ∼20% of ridership continues during social distancing measures. Current urban transport data collection methods do not account for the distinct behavioural and psychological experiences of the population. Therefore, little is known about the travel experience of vulnerable citizens that continue to rely on public transit and their concerns over risk, safety and other stressors that could negatively affect their health and well-being. We develop a machine learning approach to augment conventional transport data collection methods by curating a population segmented Twitter dataset representing the travel experiences of ∼120,000 transit riders before and during the pandemic in Metro Vancouver, Canada. Results show a heightened increase in negative sentiments, differentiated by age, gender and ethnicity associated with public transit indicating signs of psychological stress among travellers during the first and second waves of COVID-19. Our results provide empirical evidence of existing inequalities and additional risks faced by citizens using public transit during the pandemic, and can help raise awareness of the differential risks faced by travellers. Our data collection methods can help inform more targeted social-distancing measures, public health announcements, and transit monitoring services during times of transport disruptions and closures. © The Author(s) 2022.

9.
Chinese Medical Ethics ; 36(1):42675.0, 2023.
Article in English | Scopus | ID: covidwho-2245636

ABSTRACT

The electronic informed consent (eIC) system is a product of modernization development of electronic and intelligent technology. In the context of COVID-19, the eIC system can adapt to the epidemic prevention and control requirements, showing its time-space advantages. By introducing the concept, form and the use of eIC system, this paper analyzed the challenges of acceptance, understanding, consent and information security faced by the eIC system. Based on this, some suggestions were put forward, including strengthening the training of the relevant personnel involved in the eIC system, enhancing and improving the functions of the eIC system, and perfecting the relevant laws and regulations of the eIC system, so as to provide reference for the future research and application of eIC. © 2023, Editorial department of Chinese Medical Ethics. All rights reserved.

10.
Materials Today Communications ; 34, 2023.
Article in English | Scopus | ID: covidwho-2245110

ABSTRACT

One–step preparation of electrospun bimodal fibrous membrane based on single nozzle is the key to the efficient fabrication of high–performance air filter. However, the preparation mechanism of electrospun bimodal fibers at low conductivity solution system is not clear, and there is a lack of evaluation methods for the quality of bimodal nanofibers, which limits the applicability of single nozzle electrospinning and the preparation efficiency of electrospun bimodal fibers. Here, three electrospinning processes at low conductivity solution systems of polyamide–6 (PA6), PA6 blended PVP (PA6/PVP), and PA6 blended polyethylene oxide (PA6/PEO) were studied according to the rheological properties and the fluid electrics (i.e., zeta potential), and the quality of the prepared bimodal fibrous membrane was creatively evaluated by R value. Inhomogeneous phase separations of the electrospinning jet along the direction parallel (x–axis) or perpendicular (y–axis) to the electric field were responsible for the formation of bimodal fibers. In addition, for the same solution system, the R value had a positive correlation with the air filtration performance. This work will greatly enhance the applicability of one–step single nozzle electrospinning for the preparation of bimodal nanofibers, improve the preparation efficiency, and promote the development of high–performance air filter. © 2022 Elsevier Ltd

11.
International Journal of Logistics Research and Applications ; 2023.
Article in English | Scopus | ID: covidwho-2242777

ABSTRACT

The global COVID-19 outbreak has led to significant challenges for supply chain management, while insights on how to configure the supply chain network to respond to this crisis are limited. Therefore, the present research extends the understanding of supply chain resilience by investigating whether supply chain concentration has influenced the shock of COVID-19 on firm performance. This study assesses four sub-dimensions of supply chain concentration: supplier, customer, product, and region. Based on a large-scale sample of Chinese listed manufacturing firms, we employed a difference-in-difference approach to investigate whether supply chain concentration ameliorated or exacerbated the shock of COVID-19. The results indicate that treatment groups (firms with lower supplier, customer, product, and region concentration) have experienced a considerably more significant performance deterioration than control firms. Overall, this study paves the way for future research and offers vital insights into the redesign of supply chains in response to COVID-19 and similar crises. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

12.
International Journal of High Performance Computing Applications ; 37(1):45-57, 2023.
Article in English | Scopus | ID: covidwho-2242698

ABSTRACT

As a theoretically rigorous and accurate method, FEP-ABFE (Free Energy Perturbation-Absolute Binding Free Energy) calculations showed great potential in drug discovery, but its practical application was difficult due to high computational cost. To rapidly discover antiviral drugs targeting SARS-CoV-2 Mpro and TMPRSS2, we performed FEP-ABFE–based virtual screening for ∼12,000 protein-ligand binding systems on a new generation of Tianhe supercomputer. A task management tool was specifically developed for automating the whole process involving more than 500,000 MD tasks. In further experimental validation, 50 out of 98 tested compounds showed significant inhibitory activity towards Mpro, and one representative inhibitor, dipyridamole, showed remarkable outcomes in subsequent clinical trials. This work not only demonstrates the potential of FEP-ABFE in drug discovery but also provides an excellent starting point for further development of anti-SARS-CoV-2 drugs. Besides, ∼500 TB of data generated in this work will also accelerate the further development of FEP-related methods. © The Author(s) 2022.

13.
Ocean and Coastal Management ; 232, 2023.
Article in English | Scopus | ID: covidwho-2242644

ABSTRACT

It is necessary to accurately calculate ship carbon emissions for shipping suitability. The state-of-the-art approaches could arguably not be able to estimate ship carbon emissions accurately due to the uncertainties of Ship Technical Specification Database (STSD) and the geographical and temporal breakpoints in Automatic Identification System (AIS) data, hence requiring a new methodology to be developed to address such defects and further improve the accuracy of emission estimation. Firstly, a novel STSD iterative repair model is proposed based on the random forest algorithm by the incorporation of13 ship technical parameters. The repair model is scalable and can substantially improve the quality of STSD. Secondly, a new ship AIS trajectory segmentation algorithm based on ST-DBSCAN is developed, which effectively eliminates the impact of geographical and temporal AIS breakpoints on emission estimation. It can accurately identify the ships' berthing and anchoring trajectories and reasonably segment the trajectories. Finally, based on this proposed framework, the ship carbon dioxide emissions within the scope of domestic emission control areas (DECA) along the coast of China are estimated. The experiment results indicate that the proposed STSD repair model is highly credible due to the significant connections between ship technical parameters. In addition, the emission analysis shows that, within the scope of China's DECA, the berthing period of ships is longer owing to the joint effects of coastal operation features and the strict quarantine measures under the COVID-19 pandemic, which highlights the emissions produced by ship auxiliary engines and boilers. The carbon intensity of most coastal provinces in China is relatively high, reflecting the urgent demand for the transformation and updates of the economic development models. Based on the theoretical models and results, this study recommends a five-stage decarbonization scheme for China's DECA to advance its decarbonization process. © 2022 Elsevier Ltd

14.
Journal of Knowledge Management ; 27(1):197-207, 2023.
Article in English | Scopus | ID: covidwho-2241847

ABSTRACT

Purpose: Because of the globalization of the knowledge economy, intellectual property (IP) rights have become an important tool for maintaining market leadership and controlling emerging market shares. This paper aims to identify the IP risks that China's strategic emerging industries face in the process of knowledge management in the post-COVID-19 pandemic era seeking to minimize these risks and reduce unnecessary losses. Design/methodology/approach: Based on an analysis of the current situation in China's strategic emerging industries, this paper qualitatively organizes the various types of IP risks faced by China's strategic emerging industries in their development with knowledge creation, knowledge transfer and knowledge application. This paper further analyzes the factors triggering the risks and proposes endogenous and exogenous IP risk-prevention strategies for China's strategic emerging industries from the perspective of knowledge management. Findings: Adopting a knowledge management perspective, this paper identifies three main intellectual property risks in the knowledge creation, transfer, application processes of knowledge management for China's emerging industries, including infringement risks related to independent innovation, leakage risks related to international cooperation and ownership risks related to technology transfer. Research limitations/implications: Based on the entire technology–product–application process and from a knowledge management perspective, the IP risks in the development of China's strategic emerging industries are comprehensively elaborated in this paper, providing a theoretical basis for avoiding IP risks that is also widely applicable to other knowledge-intensive industries. Originality/value: This paper explicates the IP risk faced by China's strategic emerging industries in each step of the knowledge management process and suggestions from knowledge management strategy, tools and implementation support mechanism holds promise for business, industry and government IP risk prevention are elaborated specially to promote the development of China's strategic emerging industries. On the one hand, this paper expanded the research on knowledge management by exploring the relationship between knowledge management and intellectual property rights variables. On the other hand, the findings have practical significance for the stable, long term and efficient development of strategic emerging industries in China as well as other knowledge-intensive industries. Empirical analyses on this subject are suggested for future studies. © 2022, Emerald Publishing Limited.

15.
Journal of Retailing and Consumer Services ; 72, 2023.
Article in English | Scopus | ID: covidwho-2241846

ABSTRACT

The spread of the COVID-19 pandemic has resulted in the launch of contactless delivery services. This research integrates resource matching, service quality evaluation, and perceived value theories to explore the factors that promote the use contactless delivery services. The data was obtained through questionnaire surveys, and research hypotheses were verified through the structural equation modelling approach. With the exception of convenience, the results show that privacy, reliability, security, and flexibility have a significantly positive effect on consumers' intention to use "contactless” delivery services through consumers' perceived value. This study contributes to the literature by introducing theoretical frameworks from various paradigms and enriches the academic research on existing theoretical structure models. It also helps optimize resource allocation and realize the social environment related to coexisting with the COVID-19 pandemic. © 2023 Elsevier Ltd

16.
International Journal of Contemporary Hospitality Management ; 35(2):743-764, 2023.
Article in English | Scopus | ID: covidwho-2241582

ABSTRACT

Purpose: This study aims to provide a timely review of the COVID-19-related empirical research published in 19 quartile one (Q1) and quartile two (Q2) tourism and hospitality journals in social science citation index (SSCI). Design/methodology/approach: A total of 407 COVID-19-related empirical papers were collected from the 19 SSCI Q1 and Q2 tourism and hospitality journals via Scopus database. Thematic content analysis was supplemented with Leximancer software to identify the research themes/subthemes, research methods and countries/regions of research. Findings: The study found studies of COVID-19's impact on consumer behaviour predominate in number, followed by studies on response actions and recovery strategies, impact on industry or sectors and impact on workers and employees. Based on the research themes identified, a knowledge mapping framework was produced. Over 70% of the studies used quantitative methods with quantitative survey as the dominant method of data collection. The USA and China were found to be the most studied countries. Research limitations/implications: The study reviewed empirical research papers until January 2022 and covered most of the COVID-19-related empirical works in the field. An overview of the current state of COVID-19-related empirical research was provided with some critical discussions and suggestions for future research topics. Originality/value: The findings give researchers a clear index for the current state of the art of COVID-19 research in hospitality and tourism. The paper provides practical implications for industry practitioners to retrieve relevant knowledge from the recent COVID-19-related literature in tourism and hospitality in coping with practical challenges brought by the COVID-19 pandemic. © 2022, Emerald Publishing Limited.

17.
The Lancet Regional Health - Western Pacific ; 31, 2023.
Article in English | Scopus | ID: covidwho-2241568

ABSTRACT

Overall survival (OS) is considered the standard clinical endpoint to support effectiveness claims in new drug applications globally, particularly for lethal conditions such as cancer. However, the source and reliability of OS in the setting of clinical trials have seldom been doubted and discussed. This study first raised the common issue that data integrity and reliability are doubtful when we collect OS information or other time-to-event endpoints based solely on simple follow-up records by investigators without supporting material, especially since the 2019 COVID-19 pandemic. Then, two rounds of discussions with 30 Chinese experts were held and 12 potential source scenarios of three methods for obtaining the time of death of participants, including death certificate, death record and follow-up record, were sorted out and analysed. With a comprehensive assessment of the 12 scenarios by legitimacy, data reliability, data acquisition efficiency, difficulty of data acquisition, and coverage of participants, both short-term and long-term recommended sources, overall strategies and detailed measures for improving the integrity and reliability of death date are presented. In the short term, we suggest integrated sources such as public security systems made available to drug inspection centres appropriately as soon as possible to strengthen supervision. Death certificates provided by participants' family members and detailed standard follow-up records are recommended to investigators as the two channels of mutual compensation, and the acquisition of supporting materials is encouraged as long as it is not prohibited legally. Moreover, we expect that the sharing of electronic medical records and the legal disclosure of death records in established health registries can be realized with the joint efforts of the whole industry in the long-term. The above proposed solutions are mainly based on the context of China and can also provide reference for other countries in the world. © 2022 The Authors

18.
Sustainable Development ; 31(1):360-378, 2023.
Article in English | Scopus | ID: covidwho-2241326

ABSTRACT

In the context of the outbreak of the COVID-19 pandemic and China's "digital power” strategy, the realization of a green shift of manufacturing has become a necessary condition to promote the economy, and the digital factor has increasingly become a new driving force. The DEA-Malmquist index and entropy method were used to measure the manufacturing green total factor productivity (GTFP) and the level of digital economy level from 2011 to 2018, respectively. This study then explored the impact of digital economy on manufacturing GTFP based on the system generalized method of moments (GMM) model, as well as the adjustment effects of talent aggregation and financial scale according to the moderating model. This research came to four conclusions. (1) The digital economy can significantly improve the manufacturing GTFP of China, and the influence shows the characteristic of a "marginal increase”;(2) notably, the perspective of manufacturing GTFP decomposition indicates that the digital economy exerts a significant positive effect on manufacturing technical efficiency during the current period but obviously hinders technical progress;(3) interestingly, a mechanistic test showed that the two dimensions of innovation environment—talent aggregation (0.385) and financial scale (0.359)—play critical moderating roles in the influencing process;and (4) the influence has evident regional heterogeneity—it is significantly positive in the east and negative in the central region and west. Finally, corresponding policy suggestions are suggested. © 2022 ERP Environment and John Wiley & Sons Ltd.

19.
Artificial Intelligence, Cicai 2022, Pt Ii ; 13605:242-255, 2022.
Article in English | Web of Science | ID: covidwho-2239742

ABSTRACT

The COVID-19 situation has determined many people all over the world to experience remote work, study and play although most of them were not prepared for such a change in their lifestyle. With the coming of the high demand of virtual interaction, 360-degree Virtual Reality (VR) technologies and applications have established stronger relationships with your peers and friends if it applies. However, higher quality of VR streaming brings users deeper immersive experience which requires greater network bandwidth and latency, and more powerful computation capability for individuals. To address these issues, the proposed intelligent video delivery scheme in this paper takes advantage of the edge-assisted computational power to improve the multi-user oriented watching experience of high quality 360-degree video over wireless networks, which reduces network resource utilization, and also optimizes edge cache hit ratio and user's Field of View (FoV) quality.

20.
Electronics (Switzerland) ; 12(1), 2023.
Article in English | Scopus | ID: covidwho-2239704

ABSTRACT

In recent years, chest X-ray (CXR) imaging has become one of the significant tools to assist in the diagnosis and treatment of novel coronavirus pneumonia. However, CXR images have complex-shaped and changing lesion areas, which makes it difficult to identify novel coronavirus pneumonia from the images. To address this problem, a new deep learning network model (BoT-ViTNet) for automatic classification is designed in this study, which is constructed on the basis of ResNet50. First, we introduce multi-headed self-attention (MSA) to the last Bottleneck block of the first three stages in the ResNet50 to enhance the ability to model global information. Then, to further enhance the feature expression performance and the correlation between features, the TRT-ViT blocks, consisting of Transformer and Bottleneck, are used in the final stage of ResNet50, which improves the recognition of complex lesion regions in CXR images. Finally, the extracted features are delivered to the global average pooling layer for global spatial information integration in a concatenated way and used for classification. Experiments conducted on the COVID-19 Radiography database show that the classification accuracy, precision, sensitivity, specificity, and F1-score of the BoT-ViTNet model is 98.91%, 97.80%, 98.76%, 99.13%, and 98.27%, respectively, which outperforms other classification models. The experimental results show that our model can classify CXR images better. © 2022 by the authors.

SELECTION OF CITATIONS
SEARCH DETAIL