Glottocodes: Identifiers linking families, languages and dialects to comprehensive reference information

Glottocodes constitute the backbone identification system for the language, dialect and family inventory Glottolog (https://glottolog.org). In this paper, we summarize the motivation and history behind the system of glottocodes and describe the principles and practices of data curation, technical infrastructure and update/version-tracking systematics. Since our understanding of the target domain – the dialects, languages and language families of the entire world – is continually evolving, changes and updates are relatively common. The resulting data is assessed in terms of the FAIR (Findable, Accessible, Interoperable, Reusable) Guiding Principles for scientific data management and stewardship. As such the glottocode-system responds to an important challenge in the realm of Linguistic Linked Data with numerous NLP applications.

Integrative Approach to COVID-19: An Indian Facebook Recipe for Mental Health

The COVID-19 pandemic has given the world a big blow and has forced the entire world to develop a new thought process. To cope with the stress of lockdown, it was important for people to indulge in educational and health activities to save them from the threats being caused by the news and social media. A Facebook page named Yoga scholars Post Graduate Institute of Medical Education and Research (PGIMER) was created where three sessions were held per day for 225 days regularly. This activity resulted in people adopting an integrative approach towards alternative medicine. This also made possible a trial of Ashwagandha for COVID-19 treatment by the Ayurveda, Yoga, Naturopathy, Unani, Siddha and Homeopathy (AYUSH) ministry.

Application of Mathematical Modeling in Prediction of COVID-19 Transmission Dynamics

The entire world has been affected by the outbreak of COVID-19 since early 2020. Human carriers are largely the spreaders of this new disease, and it spreads much faster compared to previously identified coronaviruses and other flu viruses. Although vaccines have been invented and released, it will still be a challenge to overcome this disease. To save lives, it is important to better understand how the virus is transmitted from one host to another and how future areas of infection can be predicted. Recently, the second wave of infection has hit multiple countries, and governments have implemented necessary measures to tackle the spread of the virus. We investigated the three phases of COVID-19 research through a selected list of mathematical modeling articles. To take the necessary measures, it is important to understand the transmission dynamics of the disease, and mathematical modeling has been considered a proven technique in predicting such dynamics. To this end, this paper summarizes all the available mathematical models that have been used in predicting the transmission of COVID-19. A total of nine mathematical models have been thoroughly reviewed and characterized in this work, so as to understand the intrinsic properties of each model in predicting disease transmission dynamics. The application of these nine models in predicting COVID-19 transmission dynamics is presented with a case study, along with detailed comparisons of these models. Toward the end of the paper, key behavioral properties of each model, relevant challenges and future directions are discussed.

The Emplementation of Health Protocol Facilities through Handwashing and Social Distancing Education in The Tourism Area of Pecel Kampong, Ngerangan Village Klaten Regency

The COVID-19 pandemic has plagued the entire world, including Indonesia. The step to breaking the spread chain of COVID-19 is to apply health protocols such as handwashing and social distancing. The Covid-19 case in Klaten Regency Central Java for ten weeks until early February 2021 with the status of the Red Zone and death rate is 14.1 percent. Ngerangan Tourism Village has a thematic kampong with culinary and nature attractions, such as Pecel Kampong. The number of visitors reaches 600 tourists per day. This causes tourist sites to be clusters most prone to the spread of COVID-19 and must be equipped with adequate health protocols. Therefore, this service aims to implement health protocols during the Covid 19 pandemic through hand washing and social distancing. The service method has three stages, namely information, guidance, and habitual independence. The output of this service is in the form of technology that is socialized and donated in handwashing behavior in the form of 3 portable footstep sinks, four jerry cans of handwashing soap, one hand washing educational banner, and one banner for implementing health protocols. Meanwhile, the technology that was socialized and granted in the implementation of Social Distancing was in the form of 1 banner for implementing social distancing and 20 stickers indicating the implementation of social distancing.

The Components of Big Data and Knowledge Management Will Change Radically How People Collaborate and Develop Complex Research

Emerging as a rapidly growing field, big data is already known for promising success and having considerable synergies with knowledge management. The common goal of this collaboration is to improve and facilitate decision making, fueling the competition, fostering innovation, and achieving economic success through acquisition of knowledge to various applications. Knowledge in the entire world or inside any organization has already expanded itself in various directions and is exponentially increasing with time. To withstand the current competitive environment, an intensive collaboration of knowledge management with different approaches and algorithms of big data is required. Classical structuring is becoming obsolete with the increasing amount of knowledge components.

Comparison of antibody level after SARS-CoV-2 infection in case of home treated and hospital treated patients

Background:The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread throughout the world causing a serious health issue. After the swine flu pandemic (also known as H1N1) of 2009-10, WHO had declared Coronavirus disease 2019 (COVID-19) as a global pandemic. This pandemic caused huge losses to the entire world. Most of the patients with mild symptoms were treated at home but patients with difficulty in breathing and various complications were treated at the hospital. Naturally produced antibodies or vaccination can only offer protection. The objective was to compare the antibody status after SARS-CoV-2 infection in hometreated and hospital-treated patients. Methods: This cross-sectional study was conducted in the Department of Biochemistry and Molecular Biology, BIRDEM General Hospital, from July, 2020 to June, 2021. A total of 77 patients (age 18 – 70 years) infected by SARS-CoV-2 were enrolled for this study. Among them, 37 were home treated and 40 were treated in hospital. The study subjects were non-vaccinated. For this study, serum IgG level was measured by the automated analyser. For statistical analysis, the Mann Whitney U test was done. Results:The median value of serum IgG was significantly higher in hospital-treated patients than in hometreated patients (p < 0.001). Hospital treated patients with a history of comorbidity developed more amount of antibody in comparison to home treated patients. Conclusion:Hospital treated patients develop higher antibodies in comparison to home treated patients. BIRDEM Med J 2022; 12(1): 11-15

Significant Applications of IoT in Covid Pandemic: A Systematic Review

Today the entire world is in the exigency state-COVID-19 quarantine days. We should stay home to live. To avoid a fight over the spread of corona, the governments of all the countries have enforced a nationwide lockdown. Though the lockdown may have helped to control the spread of COVID, it has had a devastating impact on numerous domains like health, agriculture, education, global supply chains, trade, and various industries like automotive, power – electronics, travel, aeronautical, tourism industry…etc, which are the basic roots of the growth of a nation. This censorious situation can be wielded with the eminent technology “IoT”. Anytime, Anything, Anywhere”- this is the most significant feature of IoT. Any real-world object can be transformed into an intelligent object by the technology “IoT”. Because of the affordability and availability of smart devices, the entire world is more connected with IoT than ever before. From this standpoint, the authors have chosen five real-time areas health, education, industry, agriculture, and society. This survey initiates from the impacts of COVID in the above-chosen areas, how it diminishes the day-to-day events of human life, the vitality of IoT, how it helps to tackle the COVID issues without any quality degradation in this quarantine period. This systematic review completely appraises the innovations and contributions of IoT used by various researchers to defend the impacts of COVID and concludes with the pros and cons. A detailed exploration has been done in this article particularly on “IoT in COVID pandemic”. This will be more useful to the researchers to acquire clear-cut knowledge about the power of IoT, in particular how IoT plays a significant role in the period of COVID and further assists them to travel towards an innovative and serviceable direction in their research.

Current aspects of COVID-19 vaccine prophylaxis: big steps from laboratory to clinical practice

For more than a year and a half, the entire world has been experiencing the COVID-19 pandemic. Only the development of safe and effective vaccines may make the most significant changes in the fight against this infection. The World Health Organization (WHO) and its partners are contributing to accelerated development of vaccines because it is the vaccination along with social distancing and the use of personal protective equipment that is an effective way to prevent the coronavirus disease. This review covers general characteristics of vaccines registered or approved by at least one national regulator, the risks and side effects of the vaccines, as well as approaches to assess the effectiveness of COVID-19 vaccination.

Uwagi etymologiczne w dawnych tekstach użytkowych (na przykładzie Kroniki, to jest historyi świata Marcina Bielskiego, Informacyi matematycznej Wojciecha Bystrzonowskiego i Nowych Aten Benedykta Chmielowskiego)

The subject of the analysis in the article are the etymological explanations presented in the old non-literary texts (i.e. the texts that function primarily outside literature, serving various practical purposes), i.e. in the sixteenth-century Kronika, to jest historyja świata (Chronicle, that is the history of the entire world) by Marcin Bielski and in two eighteenth-century encyclopaedic texts: Informacyja matematyczna (Mathematical information) by Wojciech Bystrzonowski and Nowe Ateny (New Athens) by Benedykt Chmielowski. The review of the etymological comments allows us to take notice of their considerable substantive and formal diversity. These comments apply to both native and foreign vocabulary. On the one hand, they provide information on the origin of proper names (toponyms and anthroponyms), and on the other hand, a whole range of these etymological comments concern common names. A depth of etymological comments presented in non-literary texts is significantly diversified and independent of the nature of the vocabulary to which these comments apply – they can be merely tips on sources of borrowings of foreign words, but they can also constitute a deeper analysis of the meaning and structure of individual words, both native and foreign. These comments are usually implementations of folk etymology. The role of etymological considerations in former non-literary texts is significant. First of all, these texts have a ludic function, typical of popularised texts – they are supposed to surprise, intrigue and entertain readers. Secondly, they serve a cognitive function typical of non-literary texts – they are supposed to expand the readers’ knowledge about the world and language. Thirdly, they have a persuasive function, which is a distinctive feature of both popularised and non-literary texts – they are supposed to provoke the readers’ thoughts on the relationship between non-linguistic reality and the linguistic way of its interpretation, they also stimulate linguistic interests, which was particularly important in the past when the reflection on the native language was poor.

The effect of consumers' perceived risk from the COVID-19 pandemic on their stockpiling behaviour: An evaluation from the framework of planned behaviour theory

COVID-19 pandemic has affected the entire world and brought isolation, filiation, quarantine, lockdown, social distance, etc. concepts that are not a part of our daily lives. People have reflected this deviance in many ways, including changing the consumption behaviours that visual and written media express. One of these behaviours that arise with the pandemic is stockpiling. This research aims to study the effect of perceived risk on stockpiling behaviour for grocery products by applying the Planned Behaviour Theory frame. Data has been collected from 937 attendants. ANOVA, t-test, reliability analysis, factor analysis, and confirmatory factor analysis were applied to the collected data. It was found that effective risk has an essential effect on stockpiling behaviour. On the other hand, demographic variables seem to differentiate pandemic stockpiling behaviour for grocery products.