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PURPOSE: The CoVID-TE model was developed with the aim of predicting venous thrombotic events (VTE) in cancer patients with Sars-Cov-2 infection. Moreover, it was capable of predicting hemorrhage and mortality 30 days following infection diagnosis. The model is pending validation. METHODS/PATIENTS: Multicenter retrospective study (10 centers). Adult patients with active oncologic disease/ antineoplastic therapy with Sars-Cov-2 infection hospitalized between March 1, 2020 and March 1. 2022 were recruited. The primary endpoint was to study the association between the risk categories of the CoVID-TE model and the occurrence of thrombosis using the Chi-Square test. Secondary endpoints were to demonstrate the association between these categories and the occurrence of post-diagnostic Sars-Cov-2 bleeding/ death events. The Kaplan-Meier method was also used to compare mortality by stratification. RESULTS: 263 patients were enrolled. 59.3% were men with a median age of 67 years. 73.8% had stage IV disease and lung cancer was the most prevalent tumor (24%). A total of 86.7% had an ECOG 0-2 and 77.9% were receiving active antineoplastic therapy. After a median follow-up of 6.83 months, the incidence of VTE, bleeding, and death 90 days after Sars-Cov-2 diagnosis in the low-risk group was 3.9% (95% CI 1.9-7.9), 4.5% (95% CI 2.3-8.6), and 52.5% (95% CI 45.2-59.7), respectively. For the high-risk group it was 6% (95% CI 2.6-13.2), 9.6% (95% CI 5.0-17.9), and 58.0% (95% CI 45.3-66.1). The Chi-square test for trends detected no statistically significant association between these variables (p > 0.05). Median survival in the low-risk group was 10.15 months (95% CI 3.84-16.46), while in the high-risk group it was 3.68 months (95% CI 0.0-7.79). The differences detected were not statistically significant (p = 0.375). CONCLUSIONS: The data from our series does not validate of the CoVID-TE as a model to predict thrombosis, hemorrhage, or mortality in cancer patients with Sars-Cov-2 infection.
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Research has shown that alopecia including androgen alopecia (AGA), alopecia areata (AA), and telogen effluvium (TE) presents in the majority of patients hospitalized with COVID-19. This study aims to explore the association between age, gender alopecia type, and alopecia level in patients hospitalized with COVID-19, and find which factor has a significant effect on alopecia during COVID-19. In this study, we collected the gender, age, type of alopecia, and alopecia level of patients from four existing studies. A linear regression model and Chi-square test were applied to explore the effect of age and gender on alopecia levels in patients hospitalized with COVID-19. There were 281 patients counted in our study. We examined the data and found a significant correlation between age and androgen alopecia levels in male patients, and we found an association between gender and androgen alopecia prevalence. Our findings might help prevalent other patients with alopecia. © 2023 SPIE.
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L'apres-confinement du printemps 2020 en Europe occidentale a ete un moment d'espoir et d'hesitation quant a la possibilite d'un retour a la normale apres le premier acte de la Covid-19. Cet article en rend compte a partir du cas precis du retour a la plage dans quatre grandes villes mediterraneennes (deux en Espagne et deux en France), ou une enquete aupres des usagers et des observations de terrain ont ete menees pour relever les effets de la pandemie sur les pratiques et la gestion. Entre apprehension du risque et desir de sociabilite, presence des autorites publiques et relatif effacement, l'etude revele une nette distinction entre la situation espagnole et la situation francaise, en lien direct avec l'inegale violence du choc occasionne par la premiere vague de la pandemie dans ces deux pays. The post-containment period of spring 2020 in Western Europe was a time of hope and hesitation about the possibility of a return to normality after the first act of Covid-19. This article reports on the specific case of the return to the beach in four major Mediterranean cities (two in Spain and two in France), where a user survey and field observations were conducted to identify the effects of the pandemic on practices and management. Between apprehension of the risk and desire for sociability, between the presence and relative absence of public authorities, the study reveals a clear distinction between the Spanish and French situations, directly related to the unequal violence of the shock caused by the first wave of the pandemic in these two countries.
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Background: Since the global COVID-19 pandemic, the supply of patients with hematopoietic stem cells is challenging. On day of collection, donor for PBSC is completely mobilized and the patient in complete aplasia. In this situation, a cancellation or deferral of collection has life-threating impact on the recipient. In this case series we investigated the feasibility and the outcome of donors, which were tested positive for SARS-CoV-2 around the day of collection. Method(s): Since the availability of SARS-CoV-2 antigen rapid test systems, all stem cell donors in our institution get tested on the day of collection before entering the facility. For bone marrow donors an additional SARS-CoV-2 PCR test is required. Furthermore, donors are instructed to perform ag-test in case of symptoms of an infection before and after collection. In case of a positive test result before collection, donor registry, donor centre and at least the donor was consulted how to proceed. For bone marrow harvest, the collection was cancelled. Result(s): Between November 2021 and April 2022 we performed 571 PBSC-donations and 54 bone marrow harvests. Of them, five donors were enrolled into this observational trial, 4 PBSCs and 1 bone marrow harvest who was tested positive after the donation. In all cases, we collected sufficient amounts of stem cells for transplantation. Donor 2 developed circulation problems and fever during donation, donor 4 after the donation. All symptoms resolved after a short period. All products have been administered to the patient, up to date there are no reports concerning transmission of SARS-CoV-2 so far (Table 1). Conclusion(s): SARS-CoV-2 is detectable in blood stream of hospitalized patients but little is known about viremia in immunocompetent donors. Transmission via transfusions has not been described, yet, but the impact of G-CSF during infection and the cellularity of the source opens up questions concerning the safety of stem cell products. In our case series, we observed no serious side effects, neither from donation or infection. Clinically, there was no transmission reported after administration. (Table Presented).
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The aim of this study was to determine the post-pandemic learning adaptation scenarios from the perspective of university students from the Faculty of Education Science of the University of Seville (Spain) as a function of the competencies identified in the context of digital transformation. This was a non-experimental, descriptive study that used a short version of the Scale of Attitudes on the Perceptions of Future Teachers toward the New Post-pandemic Educational Scenarios (SANPES). The sample consisted of 972 students of the University of Seville (Spain) (72% women, 28% men), registered in the academic year 2021–2022. A cluster analysis was performed, using a hierarchical procedure (dendrogram), followed by a non-hierarchical procedure (k-means algorithm). The results show significant differences in the responses of the university students. Conclusions: progressive models or scenarios of adaptation to post-pandemic learning based on some student competencies, such as motivation, collaboration, self-learning and digital methodology: (a) initial adaptation model, (b) moderate adaptation model, and (c) advanced adaptation model.
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Sustainable development became an essential part of our world since we realized the fragility and limits of our system, dangerous of resource exhaustion, and insistently looking for the way to stabilyze our life and life of our descendents, to restrict risks of collapses. Last years' catastrophes - the pandemic of COVID-19 and the war in Ukraine, both are still existed, show us undoubtedly that we have to be more careful using our resources and develop our relations in economics and politics. In this article authors made an attempt to reconsider the approaches to understanding judiciary in Ukraine, using the new coordinates - generation born since 1980 till 1996 so called Millennials (generation Y), dictating new requests to life, and, in our opinion, to justice and judiciary development. Analysis of the impact of Millennials (generation Y) on the development of the judicial system is a complex process for a number of reasons. First, the lack of formal information about the age of the parties makes it impossible to substantiate the conclusions with empirical data. Secondly, despite some generalized traits, the characteristics of Millennials differ depending on the region and country of origin, which determines their economic, social, political, and cultural differences A striking example of this are the ex-Soviet Union's states. In majority of these countries, Millennials have become the first generation sufficiently aware of their rights, the legal ways to protect them and the role of the court as an effective tool for such protection. Their formation was accompanied by the changes in ideology, political regime and economic instability. In this article authors argue how Millennials change the judiciary in the ex-Soviet society, taking into account the specifics of the latter. The study suggests two interrelated aspects: the impact of Millennials on the development of the court as consumers of judicial services;the impact of Millennials, who come to work in the judicial system, as judges. The article substantiates the necessity of modernization of the courts, which is associated with the high technology of this generation and its vital need for information, as well as their consumerization aimed to create more sustainability justice and to answer the request of Millennials by changes of goals, by limits of expenses and by introducing the culture of peaceful and strong institutions in judiciary.
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Background: The SARS-CoV-2 pandemic has affected the entire world, but some subgroups of patients have been disproportionally affected. Cancer patients showed a higher prevalence of COVID-19 disease, as well as a higher incidence of severe COVID-19 illness and higher death rates from COVID-19. Method(s): To assess the perspectives and believes of women with an increased hereditary risk for breast (BC) and ovarian (OC) cancer regarding infection-specific and cancer-specific risks during the SARS-CoV-2 pandemic, a web-based survey was placed on internet platforms of support groups between 29th January and 22th April 2021. Data are presented as frequencies of selected items. Correlations were assessed by non-parametric tests. Result(s): Asked about their concerns to face a more severe disease course of COVID-19 illness, 44.2% responded, they were not concerned, while 27.3% were more concerned and 23.4% were significantly more concerned. Higher concerns were correlated with higher age (p=0.001) and were associated with a positive history of invasive breast cancer (p=0.001). When asked about concerns of being at higher risk for occurrence of breast and ovarian cancer after being infected with SARS-CoV-2, 72.7% reported no concerns, while 11.7% reported moderate concerns and 5.2% had significant concerns. Higher concerns were correlated with higher age (p<0.047), while higher resilience was a protective factor (p=0.029) Those with a positive medical history for in situ or invasive BC or OC were asked about concerns regarding an unfavorable oncological outcome as a result of an infection with SARS-CoV-2. 23.0% had no concerns, while 24.3% had moderate increased concerns and 14.9% reported significantly increased concerns. Discussion(s): Age proved to be a risk factor for health-related worries during the COVID-19 pandemic, while higher resilience proved to be protective to health-related concerns. Conclusion(s): Patients with additional risk factors may be at risk to experience health-related worries and anxiety, and should be monitored closely.
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During the recent years, manufacturing companies were forced to overthink their technology strategy more frequently and outside of their formal planning and budgeting cycles as severe disruptions (e.g., the Corona pandemic, the war in Ukraine or the global semiconductor crisis) exogenously changed the rules for competition. As volatility of global markets and value creation is expected to stay or increase in our digitally hyperconnected world, turbulence-induced strategy processes need to complement the formal planning cycles. Therefore, the present paper seeks to conceptualize a turbulence-induced initiation phase, which is either left out or not emphasized in existing approaches for strategy development. For this, a model concept is elaborated based requirements derived from deficits in theory and a reference modelling for the initiation phase of strategy development. As a result, five component models are presented in a three-layer structure to guide practitioners with the turbulence-induced initiation of their technology strategy development. © 2022 IEEE.
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Amidst the recent COVID-19 pandemic, the education industry was forced to completely flip its very traditional self to an online system in order to thrive and ensure continuity of operations. This moved academics and support staff to rely on system-captured data to monitor performance and plan for the future. The purpose of this research is to study the importance of big data (captured by university systems over time) and its crucial role in policy & strategy making in the higher education sector. 10 pilot interviews were conducted with education industry practitioners which indicated that awareness regarding the importance of big data analysis exists, however, there is a need of in-depth knowledge to better support this sector. The results indicate the current state/status of implementation and challenges faced by the higher education sector wherein a clear need of having a data management strategy for optimizing the use of big data is being identified. © 2022 IEEE.
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The importance of rapid access to diagnostics tools in the identification of pathogens-including their crucial component, bioreagents-was recently underscored in the COVID-19 pandemic. The currently adopted synthesis of dithiothreitol (DTT) involves four steps in batch with long reaction times and which generates a highly carcinogenic and mutagenic bis-epoxide intermediate. In this work, we have developed an intensified telescoped three-step continuous flow synthesis of DTT involving a base-mediated ring closure epoxidation, a nucleophilic epoxide opening with thioacetic acid, and an acid-mediated deacetylation. One of the key features is that the first two steps are conducted in a telescoped continuous flow fashion, allowing generation and consumption of the hazardous intermediate in situ, suppressing the need for its isolation, and improving the overall safety of the synthesis. The process is completed by an acid-catalyzed deacetylation and a subsequent recrystallization to afford the desired DTT. Flow chemistry allows here to intensify the process by using high temperatures and high pressures while minimizing the number of unit operations and improving the overall safety of the process. Our protocol permits the on-demand production of DTT in case of future outbreaks. © 2023 American Chemical Society.
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Background. Five SARS-CoV-2 vaccines are approved in North America and/or Europe: Pfizer/BioNTech, Moderna, Janssen, Oxford-AstraZeneca and Novavax. Other vaccines have been developed, including Sinopharm, SinoVac, QazVac, Covaxin, Soberana, Corbevac, Medicago, Clover and Cansino, but are not approved in high income countries. This meta-analysis compared the efficacy of approved and unapproved vaccines in randomised clinical trials (RCTs). Methods. A systematic review of clinical trial registries, PUBMED and EMBASE identified placebo-controlled RCTs of SARS-CoV-2 vaccines prospectively evaluating risks of symptomatic or severe infection with clearly defined endpoints. For each trial, risk of bias was assessed using Cochrane tool 2.0 and the CONSORT checklist. In the pre-defined meta-analysis, relative risks of symptomatic infection and severe disease were compared for each vaccine versus placebo, using Cochrane-Mantel Haenszel Tests (random effects method). Results. There were 21 RCTs assessing efficacy of the COVID-19 vaccines identified. One RCT was excluded for high risk of bias. Ten RCTs in 206,667 participants evaluated 5 approved vaccines;10 RCTs in 158,599 participants evaluated 8 unapproved vaccines. In the meta-analysis, prevention of symptomatic infection was 84% (95% C.I. 68-92%) for approved vaccines versus 72% (95% C.I. 65-77%) for unapproved vaccines, with no significant difference between vaccine types (p=0.13). Prevention of severe SARS-CoV-2 infection was 95% (95% C.I. 78-99%) for approved vaccines versus 84% (95% C.I. 72-91%) for unapproved vaccines (p=0.12). In addition, the risk of serious adverse events was similar between vaccine types (p=0.49). Efficacy of approved and unapproved SARS-CoV-2 vaccines Percentage efficacy of approved and unapproved SARS-CoV-2 vaccines against symptomatic infection (Panel A) and severe disease (Panel B). Vaccines are arranged by approval-status (approved vaccines to the left and unapproved vaccines to the right of discontinuous line) and colour-coded by vaccine type. Error bars represent 95% confidence intervals. RIBSP, Research Institute for Biological Safety Problems;IFV, Instituto Finlay de Vacunas. Conclusion. This meta-analysis of 20 RCTs in 365,266 participants, showed no significant difference in efficacy between the approved and unapproved SARS-CoV-2 vaccines for endpoints of either symptomatic or severe infection. Differences in study design, end-point definitions, variants and prevalence of infection may have influenced the results. Head-to-head RCTs will be required to make definitive conclusions. If efficacy is proved definitively, new patent-free vaccines could lower costs of worldwide SARS-CoV-2 vaccination campaigns significantly.
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SARS-CoV-2 has bought many challenges to the world, socially, economically, and healthy habits. Even to those that have not experienced the sickness itself, and even though it has changed the lifestyle of the people across the world nation wise the effects of COVID-19 need to be analyzed and understood, analyzing a large amount of data is a process by itself, in this document details the analysis of the data collected from México by the Secretary of Health, the data was analyzed by implementing statistics, and classification methods known as K-Means, C&R Tree and TwoStep Cluster, using processed and unprocessed data. With the main emphasis on K-means. The study has the purpose of detecting what makes the highest impact on a person, to get sick, and succumb to the effects of the disease. In the study, it was found that in México the age of risk is at its highest at the age of 57, and the ones at the highest risk of mortality are those with hypertension and obesity, with those that present both at the age of 57 having a 19.37% of death. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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This study is developed with the aim of diagnosing the innovative strategies based on ICT used by teachers for the development of social skills in business administration students;which were applied during the COVID 19 pandemic as a response to the change of modality launched by higher education institutions. In this case, the present study was located in the positivist paradigm, with a descriptive level, with a non-experimental, transactional field design. The sample is taken from a group of 25 teachers, who teach in the business administration program of a private university located in the city of Barranquilla, Colombia. A questionnaire consisting of a total of 15 items applied to this sample, which was validated by experts and its reliability was determined by means of the Cronbach's Alpha coefficient, yielding a value of 0.87. As a result, an average of 2.86 was obtained in the variable strategies for the development of social competences;located in the category neither appropriate nor inappropriate. These results show an important level of shortcomings in the implementation of innovative strategies based on ICT used by teachers for the development of social skills in business administration students. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The novel Covid-19 pandemic has massively caused considerable damages to various industries and sectors in the whole world. As is the case in the rest of the other countries, Moroccan supply chains (SCs) have been seriously disrupted. To adapt to this new condition, Moroccan companies need to quickly adjust their processes through the use of digital technologies. This research seeks to analyse how Moroccan companies responded to the Covid-19 pandemic through the adoption of digital solutions. The present data were collected from 196 companies sampled across different regions in Morocco and analysed using the Chi-square test, the algorithmic K-means method, and the analysis of variance (ANOVA). The findings revealed that the sector has impacted the behavior of the supply chain (SC) in the adoption of technological solutions. Findings also revealed that the companies operating in the first and second sector have mobilized expensive technological tools to overcome the devastating effects of the Covid-19 pandemic. Also, companies with a simple SC have mobilized low-cost digital solutions to maintain their resilience. © 2022 IEEE.
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The Covid-19 pandemic has generated alert and dynamic changes in industries and companies worldwide, and in response to the adaptation process, new ways with technological innovation have achieved resilience, and new sectors have emerged without precedent, mainly in some Ecuadorian sectors to promote economic reactivation, increasing the demand for new services. The objective of the research is to assess the impact of the Covid-19 global pandemic on the sector of Professional, Technical and Administrative activities in Ecuador for the year 2020. The research is descriptive, explanatory, and bibliographic, with a mixed methodology and a non-experimental cross-sectional investigation, adapting a non-probabilistic sampling, analytical method, and statistical analysis of data series. Among the most relevant results is that the global Covid-19 pandemic produced growth in the sector mentioned before. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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This work aims to predict retweet popularity of covid19 tweet corpus. Our work fuses unsupervised and supervised learning techniques to create retweet popularity model. In the first phase, we use a Clustered Bert model, which works on clustering the Bert embeddings using clustering algorithms on the textual data to generate novel and meaningful feature set for our model. In the second phase, we use the output of Clustered Bert model as an input to the Supervised Regression models intending to predict retweet popularity. Our work also draws a comparison between features from numeric model;emotions/sentiment model;and Clustered Bert model. Three different Regression models, belonging to different categories: Nearest Neighbors, Ensemble and Stacked models are then tested on the final feature-set to generate predictions for our model. The results show higher accuracy when the Clustered Bert model is used in combination with numerical and emotion/sentiment model. The experiment shows better results for Stacked Regression models out of all the three regressors used for our study. © 2022 IEEE.
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In early 2020, the learning system underwent a transfiguration due to the Covid-19 case;with this, Indonesia implements a lockdown, where learning which is usually applied face-to-face, must be forced to do online-based learning. With this, the researcher aims to examine the effect of Perceived usefulness, Perceived ease of use, Cost effectiveness, and Interactivity on Attitude towards digital collaboration platforms on the effectiveness of the learning system for undergraduate students at Bina Nusantara University on the BINUS Mobile for Student Application during the Covid-19 pandemic. The sampling technique used is non-probability sampling. This study used a sample of 150 respondents. This study uses statistical methods with the IBM SPSS statistics 25 program as a test tool. The results of this study indicate that Perceived Usefulness has an effect, and Perceive Ease of Use, Cost Effectiveness and Interactivity have no effect on Attitude toward Digital Collaboration Platforms. © 2022 ACM.
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Boesenbergia rotunda (Zingiberaceae), is a high-value culinary and ethno-medicinal plant of Southeast Asia. The rhizomes of this herb have a high flavanone and chalcone content. Here we report the genome analysis of B. rotunda together with a complete genome sequence as a hybrid assembly. B. rotunda has an estimated genome size of 2.4 Gb which is assembled as 27,491 contigs with an N50 size of 12.386 Mb. The highly heterozygous genome encodes 71,072 protein-coding genes and has a 72% repeat content, with class I TEs occupying ~67% of the assembled genome. Fluorescence in situ hybridization of the 18 chromosome pairs at the metaphase showed six sites of 45S rDNA and two sites of 5S rDNA. An SSR analysis identified 238,441 gSSRs and 4604 EST-SSRs with 49 SSR markers common among related species. Genome-wide methylation percentages ranged from 73% CpG, 36% CHG and 34% CHH in the leaf to 53% CpG, 18% CHG and 25% CHH in the embryogenic callus. Panduratin A biosynthetic unigenes were most highly expressed in the watery callus. B rotunda has a relatively large genome with a high heterozygosity and TE content. This assembly and data (PRJNA71294) comprise a source for further research on the functional genomics of B. rotunda, the evolution of the ginger plant family and the potential genetic selection or improvement of gingers.