Effects of food authenticity, food quality, and service quality on tourist satisfaction under multiple regression model during Covid-19

Local food is a tourism product with a distinct identity for a location. Tourists' emotional attachment to a destination is increased by their attachment to the authenticity and quality of tourism services. The purpose of this study was to look into the impact of food authenticity, meal quality, and service quality on tourist satisfaction. A total of 425 replies were gathered from visitors who visited Bali and sampled the culinary products while visiting various Bali sites. The questionnaire survey was conducted on 2021/2/1-2021/4/20, a period during COVID-19, and further applied the multiple regression model for the survey with strong validity and reliability. The findings revealed that meal and service quality have a considerable impact on tourist satisfaction, whereas food authenticity has a significant effect on tourist satisfaction. Both practically and conceptually, the investigation contributes to providing particular feedback regarding the observed factors. © 2023 Author(s).

TRADITIONAL SPORT MODEL TO IMPROVE FUNDAMENTAL MOVEMENT SKILLS AND SOCIAL ATTITUDES OF STUDENTS DURING COVID-19

The study purpose. COVID-19 caused many negative impacts, including a significant decrease in the fundamental movement skills and social attitudes among students, which becomes the main problem in this study. Therefore, this study aims to investigate the effect of traditional sport on improving students' fundamental movement skills and social attitudes. Materials and methods. This study adopted an experimental method with a pretest-posttest design. The subjects were elementary school students in Yogyakarta city and they were selected using random sampling (n = 30). The traditional sports program was carried out for 7 weeks with once-a-week meetings. The instrument for assessing students' fundamental movement skills was using a gross motor development test and social attitudes were assessed using the questionnaire of Physical Education Activity Attitude. Shapiro-Wilk was used to test the normality of the data, while the Paired Sample t-test was used to assess differences in the values of students' fundamental movement skills and social attitudes before and after the program. Results. The results of this study indicate that traditional sports have a significant effect on improving fundamental movement skills (p < 0.05) and social attitudes (p < 0.05). Conclusions. Thus, traditional sports programs can be used as an alternative activity that can be used by physical education teachers during the COVID-19 crisis. © Mujriah, Siswantoyo, Sukoco, P., Rosa, F.O., Susanto, E., & Setiawan, E., 2022.

Evaluating the relevance and influence of the Internet of things and Deep Learning on Organisations during Economic downturns

The study explores about Current advancements in manufacturing techniques and automation have resulted in 'Industry 4.0, a new industrial revolution. Industry 4.0' is a vast subject that encompasses information management, industrial competitiveness, manufacturing processes, and productivity. The phrase Industry 4.0 refers to a set of important allowing 'technologies, such as the Internet of Things (IoT), Deep Learning, and artificial intelligence', which are key sources to automated and computerized industrial settings. 'Industry 4.0 technologies' aid in the attainment of sustainability in corporate processes. The present study achievements and future studies potential of Industry 4.0 technologies to accomplish 'manufacturing sustainability' are investigated using a comprehensive literature review method for the research. 'The function and effect of several Industry 4.0 technologies on manufacturing sustainability are thoroughly' addressed. However, loT may have a major impact on the economy and society. Some fear that it may result in the formation of amazingly centers of income and expertise, which will have a negative impact on the whole economy. Today, the coronavirus infection COVID-19 is wreaking havoc on the economies of most nations, causing disruptions in supply chains, the failure of small and medium-sized enterprises, an increase in the number of jobless, and other consequences. Under these circumstances, the digitization of all economic sectors and individuals' fundamental aspects of life becomes extremely vital. The essay examines multinational organizations connected to the idea of Industry 4.0 and illnesses caused by coronavirus infection. Artificial intelligence systems can aid in the mapping, management, prediction, and modelling of complicated systems, decreasing uncertainty and assisting experts in making decisions. The Internet of Things enables data transmission, improves control and automation, and gives potential to reduce the business's operational expenses. © 2022 IEEE.

The Management of Pulmonary Fibrosis in COVID-19

Pulmonary fibrosis due to COVID-19 is recognized as sequel of ARDS characterized by failed alveolar re-epithelization, fibroblast activation, excessive collagen deposition and other extracellular matrix components that disrupt the normal lung architecture. There are risk factor for pulmonary fibrosis namely advanced age, severe ARDS infection, mechanical ventilation due to ventilator-induced lung injury, smoking and chronic alcoholism. Diagnosis of post-COVID pulmonary fibrosis can be made by clinical symptoms and characteristic finding from lung CT scan. To date, there is no definitive treatment for post-inflammatory pulmonary fibrosis after COVID-19 infection, however some of antifibrotic therapies may be considered. Beside medical treatment, pulmonary rehabilitation program and long-term oxygen treatment should be included as part of comprehensive treatment for pulmonary fibrosis due to COVID-19.

Potential of tilapia (Oreochromis niloticus) viscera bioactive peptides as antiviral for SARS-CoV-2 (COVID 19)

Pandemic SARS-CoV-2 (COVID-19) is a severe problem in the world today. The SARS-CoV-2 virus contains protease and glycoprotein spike, which was used infection and development. The RBD (Receptor Binding Domain) of the glycoprotein Spike (RBD-S) can bind to the ACE2 receptor (Angiotensin Converting Enzyme-2) on the Domain protease (PD) (PD-ACE2) of the host cell causing virus infection. This study aimed to evaluate the potential of bioactive peptides from tilapia viscera hydrolysate as an antiviral peptide to attempt a simulated docking with four protein target virus COVID 19. The research was conducted by molecular docking using the PyRx software. Selected protein targets were SARS-CoV-2 protease (GDP ID: 6LU7), SPIKE COVID 19 (PDB ID: 6LVN), ACE2 (GDP ID: 6VW1), and deubiquitinase inhibitors block the SARS virus replication (PDB ID: 3E9S). The formed binding affinity was represented as a docking score. The results showed that both the Asp-Trp and Val-Tyr peptides were potential as SARS-CoV-2 antiviral, with an affinity strength equal to chloroquine and favipiravir. The Asp-Trp and Val-Tyr peptides could bind to all four receptor proteins target on the active side. Therefore, it potentially inhibits the virus sticking to proteins target that results in inhibition of virus replication. Generally, the Asp-Trp and Val-Tyr peptides of tilapia viscera hydrolysate are potential as an alternative antiviral peptide to medicate the infections and replication of COVID-19. © Published under licence by IOP Publishing Ltd.