Processing of Images Based on Machine Learning to Avoid Unauthorized Entry

The proposal of a facial recognition system to increase security, through facial recognition with multiple utilities such as facilitating the access of people with adequate protection measures in times of Covid-19, as well as security when seeking to hide their identity. The methodology considers the use of tools such as Python and OpenCV, as well as models such as Eigen Faces, Fisher Faces, and LBPH Faces, as units of analysis are considered photographs and portions of the video that capture facial expressions that then their patterns are trained with facial recognition algorithms. The results obtained show that the LBPH Faces obtained confidence values lower than 70, with a 95% certainty of recognition and a shorter recognition time, improving the accuracy of facial recognition, also with the increase of the data was achieved to improve the accuracy of recognition as well as improve confidence regarding the safety of people. © 2022 IEEE.

Learning About the Incidence and Lethality of COVID-19 in Vulnerable Neighborhoods: The Case of Malaga (Spain)

This research delves into the need to use granular analyses at the neighborhood level to study the preexisting conditions of vulnerability that best explain the waves of COVID-19 incidence and mortality. It seems most appropriate to use the comprehensive approach of the sustainable development with variables that analyze the economic, social, environmental, and governance dimensions, given the extensive literature that identifies each as a determining factor for the impact of disease. The work utilizes a composite vulnerability index that allows the city of Malaga to be divided into 434 census sections;waves of incidence and mortality for each section are constructed for the period of March 2020 to March 2021. Cluster analysis reveals that there are five different cluster incidence patterns, whereas the lethality waves are found to behave as a hot-spot phenomenon. The results reveal that neighborhoods that are the most vulnerable in terms of their demographic conditions (large proportion over 65 years of age and dependent) and socioeconomic conditions (severe material deprivation), have been the most affected by COVID-19 infection and mortality.

Water Consumption in Portoviejo City from Pacific of Ecuador, During the Period 2017–2020 in the Context of the Health Crisis of SARS - CoV-2

Since March 2020, Ecuador has been in a health crisis due to the COVID-19 pandemic that resulted in confinement from March 17 to September 13, 2020. For this reason, the objective of the work was to perform an analysis of the volumes of drinking water recorded by the Decentralized Autonomous Government of Portoviejo, to determine whether the confinement phase determined an increase in the consumption of drinking water in the Portoviejo city. The information was obtained, from January 2017 to December 2020, from the water administration company named Portoaguas. An analysis of variances was carried out, ANOVA that determined the absence of a significant water consumption variation between the months of confinement in the year 2020 and three years ago. In addition, with population data obtained from the Ecuadorian Institute of Statistics and Census (INEC), and infection rate calculated from the data recorded by the Ministry of Health, we conducted a modeling population to obtain the endowments daily consumption in Portoviejo, which showed an increase of up to 16,28% in April 2020, but a decrease in May and August of the same year, concluding that the pandemic did not influence the consumption of water. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

HEALTH HABITS AND ADAPTATION TO THE COVID PANDEMIC IN MEXICO

Objective. To know the effects of the pandemic on eating habits, sleep and physical activity and its influence on adaptation to the same. Method. It is a cross-sectional, correlational, comparative and predictive study, with an intentional sample of 7,439 people, 69.9% women and 30.1% men, with a mean age of 36.9. The instrument used (a =.81), measures health, eating, exercise and sleep habits (a = .61), as well as adaptation to confinement (a = .65). Results. 52% of the participants decreased their physical activity, sleep difficulties were reported by 58%, a 29.3% of participants reported negative changes in their diet and 8.6% reported difficulties in adapting to confinement. The habit that best predicts adaptation to the pandemic was sleep, followed by dietary changes and finally physical activity. Conclusions. It is important to maintain healthy habits as protective factors and for their influence in the adaptation to the pandemic. © 2022 Universidad Miguel Hernandez. All rights reserved.

Learning to teach in mixed-reality simulated virtual environments at a Hispanic Serving Institution (HSI)

As a result of the COVID-19 pandemic, faculty at a Hispanic serving institution shifted from face-to-face to totally online teaching. The authors describe two assignments for teacher candidates that required them to design and deliver lessons that focused on practicing two high-leverage practices utilizing Mursion, a mixed-reality simulation (MRS) software and platform. MRS sessions were delivered through Zoom video conferencing and were delivered asynchronously. Benefits, challenges, and limitations of using MRS in conjunction with Zoom in online courses were identified and discussed. Detailed logistics for planning, preparing, and executing MRS effectively were provided. The authors describe implications for remote learning as it related to teaching at an HSI located in one of the poorest areas of the U.S., with one of the most vulnerable populations. © 2021 by IGI Global. All rights reserved.

Updated Analysis Confirms Sustained Poor Prognosis of COVID-19 in Patients with Lymphoma in Latin America: A Cohort of 160 Patients from Gell

Updated analysis confirms sustained poor prognosis of COVID-19 in patients with lymphoma in Latin America: A cohort of 160 patients from GELL. Introduction: Ongoing SARS-COV-2 pandemic has impacted the management of cancer patients worldwide. Several reports have demonstrated inferior outcomes of patients with hematological malignancies, including higher rates of intensive care unit admission, need for mechanical ventilation and death. The impact of COVID-19 is profound in resource-restricted countries, including Latin America. Most cohorts reported have not included patients from Latin America, and there is paucity of data of the outcome of cancer patients with COVID-19 in low- and middle-income countries. Grupo de Estudio De Linfoproliferativos En Latino-America (GELL )is a collaborative network of hematological centers in 13 countries in Latin America. We report updated outcomes of lymphoma patients diagnosed with COVID-19 in Latin America. Methods: We conducted a retrospective study including patients with a diagnosis of lymphoma and COVID-19 infection. Patients with chronic lymphocytic leukemia/small lymphocytic lymphoma were excluded from the analysis We defined active disease as follow: (1) patients with detectable disease either prior to initiating therapy or upon relapse, and/or (2) patients undergoing active cancer treatment. The primary outcome was overall survival at 100 days. Survival curves were estimated using the Kaplan Meier method. Uni and multivariable analysis were carried out with Cox model. Results: A total of 160 patients were available for analysis. Median age was 60 years old. Hypertension was the most common comorbidity (33%). Most patients had aggressive lymphomas (62%), including 43% of patients with diffuse large B-Cell lymphoma (DLBCL). Follicular lymphomas were observed in 13% of patients and Hodgkin lymphoma in 12.5% of patients. With a median follow-up of 37 days, the 100-day OS was 64% (95CI 56-74%, fig. 1). In univariate analysis, age (HR 1.03, p=0.0025), hypertension (HR 2.01, p=0.017), >1 number of prior lines (HR 2.78, p=0.011), patients currently on treatment (HR 1.83, p=0.043), ferritin >2000 ng/mL (HR 4.74 p=0.00047) were associated with inferior OS. In multivariate analysis, age (HR 1.03, p=0.0026) and patients currently on treatment (HR 1.82, p=0.04) had inferior OS. There was a trend towards inferior outcomes in patients receiving monoclonal antibodies in univariate analysis (HR 1.82, p=0.081) but not in multivariable analysis (HR=1.29, p=0.48). Use of steroids was not statistically related to mortality (HR 1.79, p=0.074). Finally, contrary to other cohorts, no improvement in OS was observed in patients diagnosed later on the pandemic (fig. 2). Conclusion: In this large cohort of Latin American patients with lymphoma malignancies, our updated analysis showed a maintained dismal prognosis with COVID-19 infection. With a median follow up of 37 days, the 100-day OS was 64%. Older age and ongoing active cancer treatment were significantly associated with mortality. The use of monoclonal antibodies and systemic corticosteroids were not statistically associated to poor survival. Current efforts are focused on improving immunization in the Latin American population. There is an unmet need for improving survival in patients with hematologic malignancies and COVID-19 infection. [Formula presented] Disclosures: Perini: Janssen: Honoraria, Speakers Bureau;Takeda: Honoraria, Speakers Bureau;Astra Zeneca: Honoraria, Speakers Bureau;MSD: Honoraria, Speakers Bureau. Otero: ASTRA ZENECA: Current Employment. Abello: Dr Reddy's: Research Funding;Amgen: Honoraria;Janssen: Honoraria. Castillo: Abbvie: Consultancy, Research Funding;BeiGene: Consultancy, Research Funding;Pharmacyclics: Consultancy, Research Funding;Janssen: Consultancy;Roche: Consultancy;TG Therapeutics: Research Funding.

COMMENT ON GENERAL ARGENTINE LABORAL LEGISLATION, DECREE OF NECESSITY AND URGENCY 329 OF THE YEAR 2020, ON LABOR EMERGENCY IN TIMES OF PANDEMIC (COVID-19)

The central idea of this work is to reflect on the scope of a Decree of Necessity and Urgency with the rank of law, its application, methodology and constitutionality. For this, we will first locate the Decree of Necessity and Urgency (DNU) in the kelsenian pyramid, its effects and limits, later delving into its content and the reasons for its dictation in relation to the epidemiological reality that put Argentina and the whole world because of the COVID-19. Finally, we will analyze the viability and effectiveness of the content of Decree of Need and Urgency 329 issued by the Executive Power of the Argentine Nation.

Norms that regulate the management of virtual mathematics classes in the COVID-19 context

The standards regulating class management and learning negotiation is a topic of interest to the mathematics education research community. In the context of virtuality as a result of the Covid-19 pandemic, it is necessary to study the type of standards emerging to regulate interactions in math classes. In this study, standards regulating online high school geometry classes are characterized. As a theoretical reference, the didactic analysis model proposed by the Ontosemiotic Approach (OSA) is considered, particularly the notions of mathematics teacher’ practices and the standard classification system. The research is developed under a qualitative-naturalistic paradigm in which researchers analyzed two classes on metric relationships in circumferences taught to Chilean third-year high school students (15-16 years). In conclusion, the standards regulating the interaction processes in an online classroom are characterized, and teachers’ adaptability is shown in an exceptional-virtual context, where standards are established and changed when necessary to guarantee the optimization of the students’ learning. © 2021 Samuel Pelkey, Bonnie Stelmach, Darryl Hunter

Subgroup classification model identifying the most influential factors in the mortality of patients with COVID-19 using data analysis

This research assesses the health conditions of the people in the study and determines the reason why a person dies after being infected with COVID-19. In this study, 538 sample groups that provided medical data from people in different locations were analyzed. The biggest challenge in this study was to carry out 2 different criteria within the same data set to conclude that the mortality of the persons inside a group depends more than anything on the age of the person at risk and the presence of one or more other health disorders of the primary disease, which in this case is COVID-19. For this study, the public data set "COVID analytics" was used, which provided all the necessary medical information and the classification of the groups, which are then interpreted as useful labels to better deduce the degree of mortality of the affected person. After completing the data analysis, it is determined that the factors that aggravate the condition of a patient with COVID19 are: hypertension, advanced age and any other disease.

Study of available antiviral treatments for COVID-19 during pregnancy

Since the end of the year 2019, mankind has been confronting with the COVID-19 pandemic. Complex measures have been taken to solve this problem and the aim of this study is to summarise the results of research on the most used antiviral treatments for COVID-19 diagnosed in pregnant women. The specialty literature review was conducted by searching the PubMed (National Library of Medicine, Washington, DC) and Embase (Elsevier) databases. In the initial search in databases we used a combination of the following keywords: “COVID-19”, “SARS-CoV-2”, “pregnancy” and “therapy”. Clinical trials were identified using the search term ”COVID-19” and the generic names of the drugs on ClinicalTrials.gov and International Clinical Trials Registry Platform (ICTRP) of WHO. Corresponding to the objectives of our research, we found articles and studies about antiviral drugs which act as: protease inhibitors (lopinavir/ritonavir, darunavir/cobicistat), RNA polymerase inhibitors (remdesivir, favipiravir, ribavirin), umifenovir, antimalarial drugs (chloroquine, hydroxyclhoroquine) and others. Summarising what is currently known about the antiviral treatment of COVID-19 during pregnancy, we can conclude that, at this time, no antiviral drug is undoubtedly effective in the fight against SARS-CoV-2;the experience gained so far, leads to the idea that treatment schemes must combine several methods and drugs to be successful;a national or even international register should be set up to report situations where a medicine has been administered to a pregnant woman to monitor for side effects;pregnant women should also be included in studies, under rigorous conditions and after a clear demonstration of the effectiveness of medicines. © 2020, Romanian Society for Pharmaceutical Sciences. All rights reserved.

Drug ontology for the public mexican health system

With the emergence of the COVID-19 pandemic, a growing need has emerged for well-structured medical knowledge bases that are accessible to physicians, specialists, pharmacists, patients, and the general public. This article describes the process of development and evaluation of an Mexican Drug Ontology4 with information from the “Basic Table and Catalog of Medicines” published by the Secretary of Public Health. The resulting ontology is composed by 64 classes, 5 object properties, 18 data properties, and has a value ALCQ(D) of “DL Expressivity” measure. The evaluation ontology was carried out in two ways: through the competence of the model and through the review of the quality criteria. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).