ABSTRACT
Currently, the internet of things (IoT) is being widely deployed in home automation systems. An analysis of bibliometrics is presented in this work that covers articles that were obtained from the Web of Science (WoS) databases and published between 1 January 2018, and 31 December 2022. With VOSviewer software, 3880 relevant research papers were analyzed for the study. Through VOSviewer, we analyzed how many articles were published about the home IoT in several databases and their relation to the topic area. In particular, it was pointed out that the chronological order of the research topics changed, and COVID-19 also attracted the attention of scholars in the IoT field, and it was emphasized in this topic that the impact of the epidemic was described. As a result of the clustering, this study was able to conclude the research statuses. In addition, this study examined and compared maps of yearly themes over 5 years. Taking into account the bibliometric nature of this review, the findings are valuable in terms of mapping processes and providing a reference point.
ABSTRACT
The use of digital health and wrist-worn wearable technologies have been increasingly utilized, especially during COVID-19 surge, to help monitor patients and vulnerable groups such as elderly people. As one of the countries with highest aging population, South Korean older adults are expected to be familiarized with these healthcare technologies. However, there have been a few studies on the investigation of Korean older adults' attitude towards the acceptance of wearable technologies, such as a smart health watch after the COVID-19 curve flattened in South Korea. Thus, the purpose of this study is to investigate the acceptability of digital health wearable technology in healthcare by the Korean older adults and their attitude towards the use of smart health watches by using an extended Technology Acceptance Model while considering the context of the COVID-19 pandemic. We performed a cross-sectional survey of Korean adults aged 56 years and older who are living in Busan, and a total of 170 respondents were received. Results reveal that perceived usefulness, perceived ease of use, and facilitating conditions have a significant impact on older Korean's attitudes towards the use of a smart health watch, while the relationship between social influence and attitude towards its use was found to not be statistically significant. The attitude towards the use of smart health watches had an effect on their intention to use the smartwatch. By using the findings from the study, the digital wearables providers, manufacturers, and promotors can enhance their strategy to elevate the use of digital healthcare wearables among Korean elderly people while ensuring these products are of good quality and affordable, as well as ensuring necessary assistance is provided to the elderly people when utilizing and adopting these wearables in their everyday lives. Moreover, the results of this study can be utilized to accommodate the needs of Korean elderly people regarding their use of smart health watches and help promote the benefits of healthcare wearable technologies after the pandemic subsides.
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Fever is a typical symptom of most infectious diseases. While prolonged fever may be clinically undesirable, mild reversible fever (<39â, 312 K) can potentiate the immune responses against pathogens. Here, using molecular dynamics and free energy calculations, we investigated the effect of febrile temperatures (38â to 40â, 311 K to 313 K) on the immune complexes formed by the SARS-CoV-2 spike protein with two neutralizing monoclonal antibodies. In analyzing the conformational dynamics of the interactions between the antibodies and the spike protein under different thermal conditions, we found that, at mild fever temperatures (311-312 K), the binding affinities of the two antibodies improve when compared to the physiological body temperature (37â, 310 K). Furthermore, only at 312 K, antibodies exert distinct mechanical effects on the receptor binding domains of the spike protein that may hinder SARS-CoV-2 infectivity. Enhanced antibody binding affinity may thus be obtained using appropriate temperature conditions.
ABSTRACT
Graphical Fever is a typical symptom of most infectious diseases. While prolonged fever may be clinically undesirable, mild reversible fever (< 39℃, 312K) can potentiate the immune responses against pathogens. Here, using molecular dynamics and free energy calculations, we investigated the effect of febrile temperatures (38℃ to 40℃, 311K to 313K) on the immune complexes formed by the SARS-CoV-2 spike protein with two neutralizing monoclonal antibodies. In analyzing the conformational dynamics of the interactions between the antibodies and the spike protein in different thermal conditions, we found that, at mild fever temperatures (311-312K), the binding affinities of the two antibodies improve when compared to the average physiological body temperature (37℃, 310K). Furthermore, only at 312K, antibodies exert distinct mechanical effects on the receptor binding domains of the spike protein that may hinder SARS-CoV-2 infectivity. Enhanced antibody binding affinity may thus be obtained using appropriate temperature conditions.
ABSTRACT
Bali is known as one of the region's most popular and long-established mass tourism destinations. However, the tourism sector in Indonesia saw a drastic decrease in the number of local and foreign tourists due to COVID-19. The objective of this study is to analyze the factors that are related to customer satisfaction post-COVID-19 in Bali's resorts. The data consist of a total of 7370 hotel reviews collected from Google Travel. Text mining was used to conduct a frequency analysis to determine which attributes were frequently mentioned. Additionally, semantic network analysis was used to analyze customer experiences and satisfaction in Bali resorts. As a result, the top 88 keywords were divided into five clusters such as 'Location';, 'Health Protocol';, 'Destination Resort';, 'Value';, and 'F&B';. The first quantitative analysis, factor analysis, shows there are 18 words out of 88 words related to six different clusters. Furthermore, the absolute value result of the linear regression analysis indicated that intangible service is affecting customer satisfaction negatively. As a result of the factor analysis, the two aspects that are related to the intangible service, 'hospitality';and 'staff';, are considered to be the most important aspects of resorts and should be improved in order to increase customer satisfaction.
ABSTRACT
Singapore relies heavily on the tourism industry, which was severely affected by COVID-19. During the early phase of the pandemic, the Singapore government created a campaign reassuring locals and encouraging them to 'travel';within Singapore. During the pandemic, travelers' focus shifted to pandemic-related topics. This study examined 8441 customer textual reviews from seven luxury hotels in the Marina Bay area through Google Travel derived from SCTM 3.0. In order to determine the new attributes affecting customer satisfaction, this study used UCINET 6.0 and Text2Data as part of text mining. Subsequently, SPSS was used for descriptive analysis and regression analysis to identify the relationship between the attributes in the customer textual reviews and the overall satisfaction of the customers. The results showed that all the attributes were significant in terms of overall customer satisfaction, with three attributes, sentiment polarity, readability, and word length, positively affecting overall customer satisfaction. Through social media and online platforms, consumers express their thoughts and feelings about online reviews of many products and services. With the adopted methodology, the industry may be able to benefit from this abundance of information in order to adjust strategies and increase financial benefits post-COVID-19.
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A vital goal of this SI is to improve our understanding of how big data analyses can create social and environmental values, as well as economic and financial sustainability in line with the principles of the Sustainable Development Goals (SDGs). [...]this SI features original and relevant conceptual and empirical papers on how big data analysis provides tourism actors, organizations, territories, and ecosystems with new opportunities for creating economic, social, and environmental values. [...]their results indicate that consumers’ perceived risk plays a moderating role (1) between desire and use intentions, and (2) between desire and willingness to pay. [...]the authors extended the existing literature by finding the moderating role of perceived risk in the context of a robotic restaurant for the first time. After the COVID-19 pandemic started, “taste”, “corona”, and “weekend” were the new words that frequently appeared. [...]consistent with the previous study, in which some scholars pointed out that new eating habits centered on food delivery or digital consumers emerged, this study suggested that changing the perception of dining-out may be due to negative emotions. According to this effect, five types of smart work effectiveness have come to light: (1) self-development and energy saving, (2) quality of life, (3) job satisfaction, (4) work engagement, and (5) work–life balance.
ABSTRACT
The tourism and hospitality sectors contribute significantly to the Indonesian economy. Meanwhile, COVID-19 affects these sectors. During the pandemic, the Indonesian government applied quarantine regulations at designated hotels to support its tourism industry. Since COVID-19 is becoming endemic and travel bans are being relaxed, hotel satisfaction becomes a crucial factor in quarantine hotels. If guests have a positive experience while staying at these hotels, they are likely to return for a staycation or vacation in the near future. The study examined 4856 reviews from Google reviews on 15 quarantine hotels in Indonesia. Following word frequency calculations in a matrix, UCINET 6.0 is used to analyze the network centrality and perform CONCOR analysis. The CONCOR analysis categorizes the review data into five categories. As quantitative analysis was performed, exploratory factor analysis was grouped into six variables: tangible, assurance, frontline, accommodation, quarantine, and location. As a result, tangible, assurance, and frontline negatively impacted guest satisfaction. Furthermore, three other variables: accommodation, quarantine, location, which have a positive influence, will lead to increased trust from inbound travelers. For managerial implication, results allow managers of quarantine hotels in Indonesia to focus more on improving tangible, assurance, and frontline factors.
ABSTRACT
The main purpose of this study is to explore the insights of customers’ reviews from the upscale hotel Atlantis, The Palm in the Dubai area. The data was collected from the SCTM 3.0 (smart crawling and text mining) platform developed by the Wellness & Tourism Big Data Institute at Kyungsung University. A total of 2051 online reviews were collected from the period from 29 October 2018 to 29 October 2021. The following steps were conducted by RStudio and UCINET 6.0 to analyze the collected data and to visualize the results. The results showed the top 50 keywords customers used in the reviews, such as ‘great’, ‘amazing’, or ‘service’. Exploratory factor analysis (EFA) and linear regression analysis were applied for an in-depth understanding of customer satisfaction. The analysis results demonstrated that the ‘value’ and ‘dining’ factors had a negative influence on overall customer satisfaction. These findings could provide managerial and marketing insights for upscale hotel managers when formulating and implementing strategies and tactics to improve customer satisfaction.
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After the COVID-19 pandemic and the spectrum of new climate change disruptions in the supply chain, a holistic approach towards sustainable transportation is needed. Sustainable transportation could benefit sustainable development from different angles;reduced traffic deaths, increased share of renewable energy, higher quality of transport-related infrastructure, increased satisfaction with public transportation, increased responsible consumption and production, and reduced fossil fuel consumption. This study is an attempt to show whereon the scholars were focused previously and where the focus needs to be more on. This study has reviewed 358 case studies and categorized them into twenty groups based on the transportation mode and eleven groups based on the authors’ primary areas of concern. Keyword analysis followed by topics modeling showed three non-overlapping trends in the cohort. The results, with a corroboratory investigation on the benefits of the United States’ infrastructure bill, were discussed in four categories: in-vehicle improvements, built-environment elements, human factors, and planning and regulations.
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The hospitality industry is one of the most affected by the pandemic, and because of its human close interaction and labor-intensive characteristics, it has left Human Resource Management (HRM) puzzles with organizations' stabilization and recovery. This study aimed to summarize current research on hospitality HRM research outcomes and trends during the COVID-19 pandemic. Utilizing the PRISMA technique and NVivo software, 102 research articles were extracted and analyzed to highlight to overall achievement and movement of hospitality HRM research under the shadow of the COVID-19 crisis. Considering the main purpose of this study, which was to show the status and prospects, the findings indicated 309 free nodes and 26 secondary nodes based on grounded theory. 7 key themes clustered from the analysis and include 'environmental factors';, 'industrial factors';, 'HRM practice';, 'organization';, 'employee';, 'external outcomes';, and 'methodology';. The results demonstrated the COVID-19 pandemic driven HRM transformation. In addition, it sheds light on how research responds to the shifting navigation of HRM within the hospitality context under the COVID-19 conditions.
ABSTRACT
RATIONALE: The highly contagious Coronavirus 2019 (COVID-19) infection raise social and economic burden. Medical staff and resources are being diverted for the care of patients with COVID-19. There are problems for healthcare systems, including burnout syndrome for the medical staff and exhaustion of medical resources. PATIENT CONCERNS: The patient was a 65-year-old woman presenting with fever, cough, and dyspnea due to COVID-19 pneumonia. She received antiviral agents, broad-spectrum antibiotics, and conservative treatment. Although her clinical condition improved, there was no significant improvement in portable chest X-ray results. DIAGNOSES: Due to concerns over the propagation of infection when transferring to patients for scanning and the need for excessive medical personnel to move patients, we moved a mobile chest computed tomography (CT) machine to an isolation ward for CT scanning. INTERVENTIONS: We report our experience using mobile chest CT to effectively allocate medical resources and assess treatment response in patient with COVID-19 pneumonia. OUTCOMES: Follow-up mobile CT scans disclosed progressive resolution of the multifocal ground-glass opacities and mixed consolidations distributed peripheral to subpleural spaces. During the mobile chest CT scan, there were no adverse or unforeseen events. Three medical personnel were required to performed mobile chest CT, including a clinician, a nurse, and a radiologist. LESSONS: As a result of using mobile chest CT on COVID-19 patients, the number of medical personnel required for CT scanning decreased by about 83%, rapid, and safe compared with a patient who performed conventional CT.
Subject(s)
COVID-19 Drug Treatment , Lung/diagnostic imaging , Tomography, X-Ray Computed/methods , Aged , Anti-Bacterial Agents/therapeutic use , Antiviral Agents/therapeutic use , COVID-19/diagnosis , Cough/etiology , Female , Humans , SARS-CoV-2ABSTRACT
BACKGROUND: Bats have been considered natural reservoirs for several pathogenic human coronaviruses (CoVs) in the last two decades. Recently, a bat CoV was detected in the Republic of Korea; its entire genome was sequenced and reported to be genetically similar to that of the severe acute respiratory syndrome CoV (SARS-CoV). OBJECTIVES: The objective of this study was to compare the genetic sequences of SARS-CoV, SARS-CoV-2, and the two Korean bat CoV strains 16BO133 and B15-21, to estimate the likelihood of an interaction between the Korean bat CoVs and the human angiotensin-converting enzyme 2 (ACE2) receptor. METHODS: The phylogenetic analysis was conducted with the maximum-likelihood (ML) method using MEGA 7 software. The Korean bat CoVs receptor binding domain (RBD) of the spike protein was analyzed by comparative homology modeling using the SWISS-MODEL server. The binding energies of the complexes were calculated using PRODIGY and MM/GBGA. RESULTS: Phylogenetic analyses of the entire RNA-dependent RNA polymerase, spike regions, and the complete genome revealed that the Korean CoVs, along with SARS-CoV and SARS-CoV-2, belong to the subgenus Sarbecovirus, within BetaCoVs. However, the two Korean CoVs were distinct from SARS-CoV-2. Specifically, the spike gene of the Korean CoVs, which is involved in host infection, differed from that of SARS-CoV-2, showing only 66.8%-67.0% nucleotide homology and presented deletions within the RBD, particularly within regions critical for cross-species transmission and that mediate interaction with ACE2. Binding free energy calculation revealed that the binding affinity of Korean bat CoV RBD to hACE2 was drastically lower than that of SARS-CoV and SARS-CoV-2. CONCLUSIONS: These results suggest that Korean bat CoVs are unlikely to bind to the human ACE2 receptor.
Subject(s)
Chiroptera/virology , Coronavirus/genetics , SARS-CoV-2/genetics , Severe acute respiratory syndrome-related coronavirus/genetics , Animals , Genes, Viral/genetics , Genome, Viral/genetics , Genomics , Humans , Likelihood Functions , Phylogeny , Receptor, Angiotensin, Type 2/genetics , Receptor, Angiotensin, Type 2/metabolism , Republic of Korea , Sequence Analysis, DNA , Sequence Homology , Spike Glycoprotein, Coronavirus/genetics , Virus AttachmentABSTRACT
Since the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), various vaccines are being developed, with most vaccine candidates focusing on the viral spike protein. Here, we developed a previously unknown subunit vaccine comprising the receptor binding domain (RBD) of the spike protein fused with the tetanus toxoid epitope P2 (RBD-P2) and tested its efficacy in rodents and nonhuman primates (NHPs). We also investigated whether the SARS-CoV-2 nucleocapsid protein (N) could increase vaccine efficacy. Immunization with N and RBD-P2 (RBDP2/N) + alum increased T cell responses in mice and neutralizing antibody levels in rats compared with those obtained using RBD-P2 + alum. Furthermore, in NHPs, RBD-P2/N + alum induced slightly faster SARS-CoV-2 clearance than that induced by RBD-P2 + alum, albeit without statistical significance. Our study supports further development of RBD-P2 as a vaccine candidate against SARS-CoV-2. Also, it provides insights regarding the use of N in protein-based vaccines against SARS-CoV-2.
Subject(s)
COVID-19 Vaccines/immunology , COVID-19/prevention & control , Coronavirus Nucleocapsid Proteins/immunology , Recombinant Fusion Proteins/immunology , SARS-CoV-2/immunology , Spike Glycoprotein, Coronavirus/immunology , Tetanus Toxoid/immunology , Animals , COVID-19/genetics , COVID-19/immunology , COVID-19 Vaccines/genetics , Chlorocebus aethiops , Coronavirus Nucleocapsid Proteins/genetics , Female , Macaca fascicularis , Mice , Mice, Inbred BALB C , Mice, Transgenic , Phosphoproteins/genetics , Phosphoproteins/immunology , Protein Domains , Rats , Recombinant Fusion Proteins/genetics , SARS-CoV-2/genetics , Sf9 Cells , Spike Glycoprotein, Coronavirus/genetics , Spodoptera , Tetanus Toxoid/genetics , Vero CellsABSTRACT
BACKGROUND: The current health concern to the entire world is the chronic respiratory disease caused by coronavirus 2 (COVID-19). A specific treatment or proper therapy is still lacking, and the investigations from across the world for proper drug/vaccine development towards disease control are in progress. The Coronavirus replication takes place by the conversion of the polypeptide into functional protein and this occurs due to the key enzyme Main protease (Mpro). Therefore, identification of natural and effective Mpro inhibitors could be a safe and promising approach for COVID-19 control. METHODS: The present in silico study evaluates the effect of bioactive compounds found in Eucalyptus and Corymbia species essential oil on Mpro by docking. Molecular docking of the major seven compounds of essential oil (citronellol, alpha-terpineol, eucalyptol, d-limonene, 3-carene, o-cymene, and alpha-pinene) with Mpro was studied by AutoDock 4.2, and the properties were analysed by PreADMET and Biovia Discovery Studio visualizer. RESULTS: The calculated parameters such as binding energy, hydrophobic interactions, and hydrogen bond interactions of 6LU7 (Mpro) with Eucalyptus and Corymbia volatile secondary metabolites represented its scope as an effective therapy option against covid-19. Among the docked compounds, eucalyptol shows the least binding energy without toxicity. CONCLUSIONS: The outcome of this study reported that the essential oil of Eucalyptus and Corymbia species, mainly eucalyptol can be utilized as a potential inhibitor against COVID-19 and also it can be used in its treatment. Hence, further analysis was required to explore its potential application in medicine.