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Digital nomads live a new way of life that creates an ideal balance of work and leisure. Research on the phenomenon of digital nomads is still in its early stages and is not fully framed as a proper research category. Therefore, the present research aims to explore research on digital nomadism by study leading countries, authors and themes that can become a foundation for future research. This study is exploratory and interpretive - using bibliometrics, we systematically searched all articles indexed in the Web of Science database. The study presents the evolution of scholarly production, and identifies key authors and countries that have the potential to become pioneers in digital nomad research. We identified 17 core concepts of digital nomad research as well as concepts that have not yet received much attention from scientists. Additionally, our study provides a framework for research on digital nomadism and presents topics for future research: we determine how the 17 core concepts identified in this study affect the lives of digital nomads, research into legislation that directly affects digital nomads, study how COVID-19 has changed working styles, and offer a bibliometric analysis of data on digital nomads from other databases.
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Background: Cancer is a leading cause of death for people worldwide, in addition to the rise in mortality rates attributed to the Covid epidemic. This allows scientists to do additional research. Here, we have selected Integerrimide A, cordy heptapeptide, and Oligotetrapeptide as the three cyclic proteins that will be further studied and investigated in this context.Methods: Docking research was carried out using the protein complexes 1FKB and 1YET, downloaded from the PDB database and used in the docking investigations. Cyclopeptides have been reported to bind molecularly to human HSP90 (Heat shock protein) and FK506. It was possible to locate HSP90 in Protein Data Banks 1YET and 1FKB. HSP90 was retrieved from Protein Data Bank 1YET and 1FKB. Based on these findings, it is possible that the anticancer effects of Int A, Cordy, and Oligo substances could be due to their ability to inhibit the mTOR rapamycin binding domain and the HSP90 Geldanamycin binding domain via the mTOR and mTOR chaperone pathways. During the calculation, there were three stages: system development, energy reduction, and molecular dynamics (also known as molecular dynamics). Each of the three compounds demonstrated a binding affinity for mTOR's Rapamycin binding site that ranged from -6.80 to -9.20 Kcal/mol (FKB12).Results: An inhibition constant Ki of 181.05 nM characterized Cordy A with the highest binding affinity (-9.20 Kcal/mol). Among the three tested compounds, Cordy A was selected for MD simulation. HCT116 and B16F10 cell lines were used to test each compound's anticancer efficacy. Doxorubicin was used as a standard drug. The cytotoxic activity of substances Int A, Cordy A, and Oligo on HCT116 cell lines was found to be 77.65 μM, 145.36 μM, and 175.54 μM when compared to Doxorubicin 48.63 μM, similarly utilizing B16F10 cell lines was found to be 68.63 μM, 127.63 μM, and 139.11 μM to Doxorubicin 45.25 μM.Conclusion: Compound Cordy A was more effective than any other cyclic peptides tested in this investigation.
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Objective: The aim of this study was to use bibliometric analysis to provide an overview of the empirical and theoretical research that has been carried out with regard to COVID-19 focusing on scientific publications on the topic of farmers. Design/methodology/approach: The global literature on COVID-19 and agricultural producers (farmers) published between 2019 and 2022 (August 8), was obtained from the SCOPUS database, comprising a total of 665 documents. VOSviewer was used to perform a bibliometric analysis of these papers. Results: The two countries that published the most research related to the terms studied were the United States and India. Research conducted in these countries was found in the most cited studies. The studies focused on five major topics: agriculture, epidemiology, psychology, economic impact, as well as rural areas and risk determination. The evolution of the topics over time showed that the research originally began with health-oriented studies, and that once the protocols for the return to normal were generated, studies were carried out to visibilize the producers and their challenges during the pandemic in addition to the support strategies that were generated and the impact that the pandemic had on them, as well as on the local, regional, national, and global economy. Limitations on study/implications: The documents analyzed are exclusive to the SCOPUS database, so literature was excluded from other sources such as Google Scholar or Web of Science, which could contain important information on the subject in relation to other disciplines. Findings/conclusions: This type of study makes it possible to better understand the current state of the art regarding the effect of COVID-19 on the agri-food sector, thus allowing researchers to visualize the relevance of, and guide, their research on the topic.
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The Wildlife and Forest Analytic Toolkit, introduced by the International Consortium on Combating Wildlife Crime (ICCWC), is designed to increase the effectiveness of measures combating wildlife and forest crimes (WAFCs). Greater Mekong Subregion (GMS) countries have applied this toolkit as one of their priority actions after recognizing concerns about the biodiversity system and conservational zone through several illegal wildlife trade (IWT) activities. Although the toolkit has realized its fundamental objectives to readjust legal frameworks, enhance enforcement involvement, and improve their judicial and prosecutorial operations, the last components of data and analysis have not yet been implemented. This leads to slow updates of both trends and patterns concerning WAFCs that raise questions about the real levels of exploitation in the region. Using gray literature with published materials, combined with the IWT's database in the CITES system, this study examines why the data and analysis component of the Toolkit created obstacles in the GMS countries. Findings point to there being at least four main challenges to implementing data and analysis as the toolkit has recommended in the region: (1) availability and reliability of data;(2) data collection;(3) data resources (internal vs. external level);and (4) analytic research and its related monitors. Some practical recommendations call for further discussions. Meanwhile, updated information and specific data relating to zoonotic disease transmission are timely, considering the coronavirus pandemic.
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Objective: To study the mechanism of Runfei Ningshen Decoction in the treatment of insomnia caused by corona virus disease 2019(COVID-19) by using network pharmacology and molecular docking analysis. Methods: The chemical components and targets of Chinese medicinal materials of Runfei Ningshen Decoction in TCMSP, Batman, and CTD databases were searched. The relevant targets of novel coronavirus pneumonia and insomnia in Disgenet, GeneCards, CTD, and Malacards databases were searched. The component-target-disease network was established by using Cytoscape 3.2.1 software;The protein-protein intereation(PPI) network was constructed in string database. The common targets were enriched by using Cluster Profiler software package in R language software platform. The molecular docking of core targets related to insomnia caused by COVID-19 was carried out by using Discovery Studio 4.0 software. Results: 349 medicinal ingredients in Runfei Ningshen Decoction, 1 904 targets, 1 505 new coronavirus pneumonia-related targets, and 1 337 insomnia-related targets were collected. When the intersection of Venn diagrams were used, 404 common targets were obtained for the 2 diseases. 250 targets were intersected with the 2 diseases, and 33 core targets were screened out by the analysis of the interaction network between targets. Pathway enrichment analysis showed that Runfei Ningshen Decoction mainly acts on AKT1, INS, TP53, IL-6, key targets such as AKT1, INS, TP53, IL-6, JUN, CASP3, TNF, CAT, PTGS2 and CXCL8, which are involved in the important pathway processes such as human cytomegalovirus infection, fluid shear stress, and AGE-RAGE signaling pathways in complications of atherosclerosis and diabetes. The results of molecular docking showed that the core target has a high affinity with beta-sitosterol, 1-methoxy phaseolin, 3'-hydroxy-4'-O-methylglycyrrhizin, and anhydroicariin. The prescription treatment of insomnia caused by COVID-19 may be through the targets such as PTGS2, AR, PPARG, NOS2, HSP90 AA1 and so on. Conclusion: Runfei Ningshen Decoction can treat insomnia caused by COVID-19 by inhibiting IL-6 and TNF-a.
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In-silico Computer-Aided Drug Design (CADD) often comprehends virtual screening (VS) of datasets of natural pharmaco-active compounds for drug discovery protocols. Plant Based Natural Products (PBNPs) still, remains to be a prime source of pharmaco-active compounds due to their unique chemical structural scaffolds and functionalities with distinct chemical characteristic feature from natural source that are much acquiescent to drug metabolism and kinetics. In the Post-COVID-Era number of publications pertaining to PBNPs and publicly accessible plant based natural product databases (PBNPDBs) has significantly increased. Moreover, PBNPs are important sources of inspiration or starting points to develop novel therapeutic agents. However, a well-structured, indepth ADME/Tox profile of PBNPs has been limited or lacking for many of such compounds, this hampers the successful exploitation of PBNPs by pharma industries. Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties play key roles in the discovery/ development of drugs, pesticides, food additives, consumer products, and industrial chemicals. In the present study, ADMET-informatics of Tetradecanoic Acid (Myristic Acid) from ethyl acetate fraction of Moringa oleifera leaves to predict drug metabolism and pharmacokinetics (DMPK) outcomes has been taken up. This work contributes to the deeper understanding of Myristic acid as major source of drug from commonly available medicinal plant - Moringa oleifera with immense therapeutic potential. The data generated herein could be useful for NP based lead generation programs.
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The clinical trial registration system was introduced in Japan for the purpose of ensuring the transparency of clinical trials, protecting subjects, and ensuring the quality of clinical trials, and began operating in 2005. Since 2008, the National Institute of Health Sciences has published a clinical trial information portal site, and submitted information to the WHO-International Clinical Trial Registry Platform (ICTRP). In 2014, the site was completely renovated to improve the usability for the users. The main features of the new portal site are divided into the general site, those for medical staff, and those in English, in terms of user site composition. The overall design has been improved to establish a feeling of warmth, the information contents, explanations of terms, etc., and collection of links have been expanded, and the search function has been enhanced by adopting various synonym dictionaries. In addition, the Clinical Trial Act came into force in 2018, and procedures based on this law will be required for research that evaluates this efficacy and safety of pharmaceutical products. Researchers are required to comply with clinical trial implementation standards and to conclude and publish contracts related to funding for pharmaceutical companies, etc. And the clinical trial reviewed by the Japan Certified Clinical Research Review Board (JCRB) must be registered in the Japan Registry of Clinical Trials (jRCT). This article provides an overview of this portal site, trends regarding the number of clinical trials registered since the start of domestic registration agencies, future challenges, and clinical trials related to COVID-19 that have been registered in Japan.
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Objective: To gather information on the research status and the hot spots of zoonosis and zoonotic microorganisms worldwide, and to provide references for the prevention and control of zoonotic diseases in China. Method: COOC 12.6 and Citespace 5.8 R1 software were used to carry out frequency statistics, co-occurrence analysis, cluster analysis, timeline analysis and burst analysis on the keywords associated with zoonosis and zoonotic microorganisms in PubMed database. Result: According to the keywords frequency statistics and co-occurrence analysis results from the year of 2001 to 2021 in pubMed database, the zoonosis and zoonotic microorganisms arousing high international attentions were classified into the following three categories: the first category was commonly observed zoonotic microorganisms such as Brucella, hepatitis E virus, Streptococcus, Escherichia coli (E. coli) and Salmonella, to which continuous public attentions were still needed to be paid;the second category was the zoonotic microorganisms worldwide concerned in recent years such as severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and influenza A virus, which were worthy of more in-depth research to control the spread of these diseases as soon as possible;the third category was the zoonosis that had massively prevailed in specific regions abroad such as Q fever and middle east respiratory syndrome (MERS), and these diseases were expected to be noticed in terms of imported risks to avoid their outbreaks in China. In addition to the above mentioned zoonosis and zoonotic microorganisms, some keywords associated with detection and diagnosis such as phylogeny and PCR were also of high interests. The cluster analysis generated a total of 10 clusters, in which the tick-borne infectious disease cluster suggested the role of ticks in the transmission of zoonotic diseases;the results of timeline and burst analysis demonstrated that among the zoonotic microorganisms, the attentions being paid to influenza A virus and SARS-CoV-2 were gradually increasing. At the same time, the detection technology of zoonotic microorganisms was evolving from specific sequence detection to whole genome sequencing. These fields were likely to be the research direction and trend in the future.
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The informal poultry and pig sector in the Eastern Cape Province (ECP) of South Africa is of significant socio-economic importance as it sustains livelihoods and ensures food security;yet little is known about the distribution and prevalence of infectious and zoonotic diseases in this region. This paper reviews data published for pig and poultry diseases in the province during the last 20 years (2000-2020). The review included relevant published papers identified by a computerised literature search from Web of Science;provincial animal health reports;the national database from the Department of Agriculture, Land Reform and Rural Development (DALRRD);animal health reports submitted by DALRRD to the World Organisation for Animal Health (OIE) via the World Animal Health Information Database (WAHID) interface and laboratory records. A publication was considered eligible if it included qualitative or quantitative information on any disease affecting pigs and poultry including zoonosis. The search retrieved 174 publications, of which 26 were relevant. The review found that Newcastle disease (ND), coccidiosis and fowl pox (FP) were the most reported avian diseases in the national database, whereas avian infectious bronchitis (AIB), ND and highly pathogenic avian influenza (HPAI) were the most reported diseases in the OIE database. Classical swine fever (CSF) was the most reported pig disease in both databases. The retrieved literature on pig and poultry diseases was scarce and no longer up to date, providing decision makers with little information. The review identified important zoonotic diseases that require further studies yet failed to find information on important neglected diseases like leptospirosis.
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Objective: To explore the network regulation mechanism of Huoxiang Zhengqi Oral Liquid(HXZQ) in the treatment of coronavirus disease 19 (COVID-19).
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Objective: To explore the active components and potential mechanism of Fangfeng Tongsheng Pills by using network pharmacology and molecular docking in the treatment of coronavirus disease 19(COVID-19). Methods The main chemical constituents and action targets of various medicines in Fangfeng Tongsheng Pills were collected via traditional Chinese medicine system pharmacology database and online analysis platform(TCMSP). The related targets of COVID-19 were collected by using GeneCards database, and the repeating parts with Fangfeng Tongsheng Pills were taken as the research targets. Cytoscape software was used to create a drug-target-disease network. The common target was imported into STRING database, and the protein-protein interaction network diagram was constructed by Cytoscape software. The GO(gene ontology) function enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis were performed by DAVID to predict their mechanism. The core components of Fangfeng Tongsheng Pills were docked with the therapeutic target of COVID-19 by AutoDock software. Results A total of 224 active compounds and 696 active targets were screened from Fangfeng Tongsheng Pills, including 79 targets coincided with COVID-19, and 10 active compounds, i.e. quercetin, luteolin, kaempferol,beta-sitosterol, naringenin, etc., 23 effective targets, i.e. PTGS2, PTGS1, NOS2, F10, DPP4, etc. A total of 65 GO function enrichment analysis results and 101 KEGG pathway enrichment results were obtained, including inflammatory response, tumor necrosis factor(TNF) signaling pathway, hypoxia inducible factor-1(HIF-1) signaling pathway, vascular endothelial growth factors(VEGF) signaling pathway, toll-like receptors(TLRs) signaling pathway, phosphatidylinositol 3-kinase-protein kinase B(PI3K-Akt) signaling pathway, and mitogen-activated protein kinase(MAPK) signaling pathway. Conclusion The active components in Fangfeng Tongsheng Pills, such as beta-sitosterol, quercetin, luteolin, kaempferol and naringenin, can combine with SARS-Co V2-3CL hydrolase and ACE2, act on the key target [TNF, Caspase-3, mitogen-activated protein kinase(MAPK1), interleukin-6(IL-6), prostaglandin-endoperoxide synthase 2(PGTS2)] of TNF, HIF-1, VEGF, MAPK and toll-like receptor signaling pathway, and play the roles of anti-inflammation, immune regulation, anti-hypoxic stress and anti-virus infection, thus play a role in the treatment of COVID-19.
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Krishikosh, a digital repository, is a collection of online resources. It is a large collection of Indian resources in agriculture and allied sectors which is both institutional and discipline wise of Indian National Agricultural Research and Education System (NARES). A large collection of thesis, old and valuable books, institutional publications, technical bulletins, project reports, lectures, preprints, reprints, records, etc. is available in Krishikosh (https://krishikosh.egranth. ac.in/). The repository has been designed using open source software with efficient Integrated Content Management System (ICMS), configured to meet the user requirements of a reliable digital repository. It is a customized digital repository platform where users can upload and manage their content in compliance with the open access policy of the Indian Council of Agricultural Research. This is a unique platform for sharing the intellectual outputs of the agricultural fraternity hosted by the ICAR-Indian Agricultural Research Institute, (IARI), New Delhi. At present over 2,01,000 items are available on the krishikosh platform which includes students research work (>150,000 theses), old and valuable documents since 1948 in all major subjects of Agricultural and allied disciplines. The Krishikosh analytics shows over 1,87,23,710 hits on the website from 175 countries since 2017. The top ten countries visiting this digital platform were India, United States of America, Sudan, China, Russia, Ethiopia, Iran, Philippines, Nigeria and Indonesia. Google analytics, during the COVID 19 lockdown period (April-May 2020) indicates a monthly average hit of 6,93,295 indicating higher users on the Krishikosh repository during this time.
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Background: Tea (green or black) are among the most widely consumed beverages in adults worldwide. Recently, numerous studies claimed that green tea intake have been associated with reduced mortality, including cardiovascular disease related mortality. This study was aimed to investigate the association between green tea consumption with cardiovascular related mortality. Subjects and Method: This was a systematic review and meta-analysis study used articles which published in 2000 to 2021 from online databases, such as PubMed, ResearchGate, Science Direct, Google Scholar, and EBSCO. The dependent variable was cardiovascular related mortality. The independent variables was green tea consumption. The data was analyzed by RevMan 5.3 software. This study used the eligibility criteria with the PICO model, populations: COVID-19 general adults, intervention: >1 cups green tea consumption. comparison: null or <1 cup green tea consumption, outcome: cardiovascular related mortality. The inclusion criteria were an article describing the effect or relationship of green tea consumption with cardiovascular related mortality, original research, and study of cohort contain effect size of hazard ratio and match with the intervention design. The keywords used to search the database were "green tea" AND "cardiovascular" AND "mortality" OR "Death" AND cohort.
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The National Spanish Institute of Statistics (INE) website is the main means of communication for official statistics in Spain. The INE publishes the annual statistics of deaths according to the cause of death. This vital statistic has improved a lot in recent years;also, thanks to the collaboration from the Autonomous Communities. There are certain areas that could optimize its usefulness. Indicator improvements could include provisional case- counts by causes of death, besides the age-standardization of specified causes of death and the Potential Years of Life Lost by cause of death, for territorial comparison. Meanwhile, the usefulness of social indicators applied to the statistics of death causes could be enhanced, as is the case of education. By updating the databases, it would be possible to maintain the registries of deceased and their causes of death without an annual closure before the statistical publication. Moreover, we could link the databases of demographic records of the population to their health files, to obtain individually the people at risk of sickness or death, and to enable their respective vital, social, health trajectories for statistics. In this way, the INE would increase its leadership and reference on mortality statistics in Spain and EuroStat, as well. Furthermore, the State, Autonomous and municipal administrations could redefine their publication offer into a more specified or innovative statistics of death causes.
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This proceedings contains s submitted by the participants of the meeting, which summarize research data on: level of proof and acceptability of information from the use of databases for health decisions;use of real-life health data in the evaluation of the care pathway;and use of real-life health data and COVID-19.
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This study was undertaken to identify herbal remedies that may be involved in the symptomatic management of COVID-19 disease. From a list of 247 medicinal plants, a bibliographic study was carried out with the richness, the floristic composition, the methods of preparation and use and the active principles of the plants as a variable. The importance value of these plants was also calculated. A Principal Component Analysis showed the links between the parts of plants used, the methods of preparation, the symptoms of COVID-19 disease that can be treated and the active ingredients. The results show that 226 medicinal plants divided into 190 genera and 79 families can be used to treat the symptoms of COVID- 19 disease namely otolaryngologic signs, pulmonary signs and general signs. Of these, twenty-eight (28) can relieve the majority of symptoms of COVID-19 disease. These symptoms are rhinorrhea, cough, fever, headache, vomiting, diarrhea, and muscle aches. These plants are mainly prepared in the form of a decoction and administered mainly orally. They mainly contain flavonoids, coumarins, alkaloids, tannins, steroids, terpenoids, saponosides, essential oils, mucilages, quinones, coumarins. The importance value of these plants is between 85.71 and 57.14%. The results also showed that eight (8) groups of medicinal plants can be distinguished according to the organs used, the methods of preparation, the symptoms of the COVID-19 disease treated and the active ingredients. The results of this study could serve as a database for the formulation of improved traditional drugs in the management of symptoms of COVID-19 disease in Cote d'Ivoire.
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The COVID-19 pandemic has entirely changed the patterns of behavior in the market. Physical distance, quarantine measures, safety and security protocols, and shortages along the entire supply chain, have particularly affected the placement of food products. In this regard, the paper aims to define the impact of various indicators on the placement of food products during the COVID-19 pandemic. An empirical study was conducted on a sample of 248 final consumers. The survey was conducted during the third wave of the COVID-19 pandemic in the territory of the Republic of Serbia (February - April 2021). An online questionnaire was created and forwarded to consumers to e-mail addresses from the collected databases of trade companies covering the domestic market. The analysis was performed specifically for four groups of essential food products in a pandemic: meat and meat products, fruit and vegetables, milk and dairy products, cereals, and cereal products. The method of structural modeling (SEM) or path analysis was applied to test the first group of research hypotheses on the impact of indicators on the placement of food products. Multiple regression analysis was used to examine the correlation between subcategories of food products. The results showed a statistically significant impact of indicators such as safety and security standards, hygiene, product freshness, nutritional composition, and product quality. The impact of these indicators differs significantly depending on the analyzed product group. The obtained results indicate to the supply chain management which negative impacts need to be minimized to ensure timely placement of food products and more efficiently meet the needs of final consumers in a pandemic. Guidelines for future research are listed in the paper.
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This paper is motivated by the influences that the COVID-19 health crisis had on the economies of the world. The economic crisis that has evolved from the health crisis affected economic life at all levels (global, national, industry, and company levels), including the trading relationships between countries. The purpose of the paper is to analyze the influence of the COVID-19 health crisis on the bilateral trading relationships between Romania and its main trading partners in terms of both exports and imports, for the year 2020. The research method used is multiple regression with exports and imports as dependent variables and the COVID-19 burden (solely the number of COVID-19 cases, solely the number of COVID-19 deaths and both taken together) and GDP in both Romania and the trading partners, as independent variables. The data has been collected from international organizations' statistical databases. The findings of the paper illustrate that both the GDP of Romania and the COVID-19 burden in both Romania and the partner countries influenced the bilateral trading relationships of Romania with its main trading partners in 2020. Romanian imports were more affected than exports by the COVID-19 burden both from Romania and from the trading partners. The number of deaths due to COVID-19 had a higher influence on trade than the number of COVID-19 cases. Based on this country case study, we can assert that global sanitary crises do have an influence on the international trade relationships of countries. Consequently, specific measures need to be taken by policymakers in order to first ensure economic recovery and second to support and maintain international trade flows during times of strong health crises.
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The following paper includes a synthesis of bibliographical information regarding the main diseases caused by coronaviruses, both in animals (companion and domestic) as well as in humans, observing the imprevisible tendencies of this viral family. These data are completed by an epidemiological analysis of the main events caused by coronaviruses in humans, using the available databases. Coronaviruses are worldspread entities, producing, in humans and animals, the most diverse diseases, with digestive, respiratory or nervous symptoms in animals, some forms being very serious and with special economic implications and others mild or even clinically unexpressed;in humans, the symptoms are predominantly respiratory, in some cases beginning with digestive signs and the complications that occur may be neurological in nature. Over the years, especially since 2002 (SARS-CoV), continuing with 2012 (MERS) and more recently, from 2019, culminating with SARS-CoV-2, it has been possible to identify the trend of zoonotic transmission (from animal to human), with a particularly high pathogenic potential of these viruses, which have different rates of morbidity and mortality. Another interesting aspect is the fact that cases of anthropozoonotic transmission (from human to animal) have been reported, in the case of pets, but also of fur animals (minks).
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Tourism, one of the branches that recorded among the largest losses during the Covid-19 pandemic, both globally and nationally, is the subject of the case study. These losses were due both to the travel restrictions imposed by each state, but also to the reluctance of tourists to travel, especially in 2020. Therefore, the number of tourists has decreased considerably, both in terms of resident tourists and tourists. non-residents. That is why in this paper the researchers set out to analyze the ways in which the development of the Covid-19 pandemic influenced the tourist traffic, taking into account the non-resident tourists who arrived in Romania. The researchers found that the incoming activity of tourists was well below the outgoing activity, which negatively influenced both the tourist entities and the complementary sectors, which in turn are related to the entire national economy. The research methodology consisted in collecting the existing data on the website of the National Institute of Statistics, as well as in other specialized databases, their processing, analysis and formulation of conclusions. Different research methods were used: analysis, deduction, graphical method, comparative method, as well as a series of indicators with a fixed base through which the researchers highlighted the change in time of tourist traffic, as well as their growth rate. Based on the analyzed data, conclusions were formulated that allowed us to characterize the existing situation on the Romanian market in the period 2018-2020.