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1.
Information Fusion ; JOUR:53-65, 89.
Article in English | Web of Science | ID: covidwho-2084435

ABSTRACT

The use of automatic systems for medical image classification has revolutionized the diagnosis of a high number of diseases. These alternatives, which are usually based on artificial intelligence (AI), provide a helpful tool for clinicians, eliminating the inter and intra-observer variability that the diagnostic process entails. Convolutional Neural Network (CNNs) have proved to be an excellent option for this purpose, demonstrating a large performance in a wide range of contexts. However, it is also extremely important to quantify the reliability of the model's predictions in order to guarantee the confidence in the classification. In this work, we propose a multi-level ensemble classification system based on a Bayesian Deep Learning approach in order to maximize performance while providing the uncertainty of each classification decision. This tool combines the information extracted from different architectures by weighting their results according to the uncertainty of their predictions. Performance is evaluated in a wide range of real scenarios: in the first one, the aim is to differentiate between different pulmonary pathologies: controls vs bacterial pneumonia vs viral pneumonia. A two-level decision tree is employed to divide the 3-class classification into two binary classifications, yielding an accuracy of 98.19%. In the second context, performance is assessed for the diagnosis of Parkinson's disease, leading to an accuracy of 95.31%. The reduced preprocessing needed for obtaining this high performance, in addition to the information provided about the reliability of the predictions evidence the applicability of the system to be used as an aid for clinicians.

2.
Colorectal Disease ; 24(Supplement 3):96, 2022.
Article in English | EMBASE | ID: covidwho-2078395

ABSTRACT

Aim: To confirm safety of treatment of acute uncomplicated diverticulitis (AUD) without antibiotics, developing a standarized protocol for selected patients. Method(s): Prospective observational multicentre study carried out between january 1st 2021 and april 15th 2022. Inclusion criteria: Age between 18 and 80, AUD diagnosed by computarized tomography (CT), adequate family support and cognitive capacity, good symptom control, adequate oral intake, signed informed consent. Exclusion criteria: diabetes mellitus, cardiologic event in the last 3 months, chronic liver disease, advanced chronic renal failure, active neoplasic pathology, HIV active infection, corticoidsteroid or immunosuppresant therapy, transplant, splenectomy, inflamatory bowel disease, previous episode of diverticulitis during last 3 months and antibiotic treatment during last 2weeks. Maximum 1 of the following: T >38degreeC-<36degreeC, L >12,000/ml-<4000/ ml, heart rate>90 bpm, CPR >15 mg/dL. Patients were proposed to take part of the study and those who accepted were treated as outpatient with ibuprofen 600mg/8 h, paracetamol 1 g/8 h and omeprazol 40 mg/24h during 7days. Follow-up was carried out by telephone during first 24 h, and attending the emergency department at 48 h and at 7days. Result(s): 157 patients were diagnosed of acute diverticulits, 132 were Hinchey Ia, with 37 (28.1%) patients that fullfilled criteria for the study. 67.6% of patients were male, with median age of 57.6+/-9.7years. Among 37 patients included in the study, 36 were contacted by telephone 24 h. after first visit to emergency department. Only one of them had fever 48 h after diagnosis all patients were clinically reevaluated and only two of them needed a change of strategy, one because of fever, so we started antibiotic therapy and the other because COVID-19 infection. None of the patients needed urgent surgical intervention nor hospitalisation during the study and follow up. Conclusion(s): Our results confirm that treatment of AUD without antibiotics in selected patients is safe.

3.
Mmwr-Morbidity and Mortality Weekly Report ; 71(36):1151-1154, 2022.
Article in English | Web of Science | ID: covidwho-2068408

ABSTRACT

What is already known about this topic? Before emergence of the SARS-CoV-2 B.1.1.529 (Omicron) variant, infectious SARS-CoV-2 was unlikely to be cultured at high cycle threshold (Ct) values. Based on this, low Ct values, which are suggestive of high RNA levels, are sometimes used as surrogate markers for infectiousness. What is added by this report? In a longitudinal study including daily nasal swabbing, although Omicron BA.1 sublineage infections exhibited higher Ct values than did pre-Omicron infections, culturable Omicron virus was still detected. Among virus-positive specimens, Ct values were higher for Omicron than for pre-Omicron specimens, especially during the first week of illness. What are the implications for public health practice? Supporting CDC guidance, these data show that Ct values likely do not provide a consistent proxy for infectiousness across SARS-CoV-2 variants.

4.
Chest ; 162(4):A2628, 2022.
Article in English | EMBASE | ID: covidwho-2060975

ABSTRACT

SESSION TITLE: Late Breaking Chest Infections Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: 10/18/2022 01:30 pm - 02:30 pm PURPOSE: To identify the association between SII, NLR and PLR and the prognosis in SARS-CoV-2 pneumonia. METHODS: A cross-sectional study that took place in Tacuba General Hospital, Mexico City. Adults hospitalized with SARS-CoV-2 infection were included. Descriptive statistic was made using Mann-Whitney's U test. Spearman’s Rank correlation coefficient was calculated. The risk of invasive mechanical ventilation (IMV) and mortality was calculated for each index with logistic regression. The analysis was made using the STATA 14.0 program. RESULTS: The current analysis included 295 subjects, 64% men. There was difference in SII and NLR levels between subjects who died and those who did not. Females with acute respiratory distress syndrome had a positive correlation for each index and length of stay: for SII rs=0.739;for NLR rs=0.689;for PLR rs=0.649. Males had weak correlations. The risk of IMV with SII exceeding its cutoff value had an odds ratio of 2.50 (95% CI 1.38-4.51);a higher risk for IMV with NLR above its reference was detected (OR 2.34, 95% CI 1.36-4.05). Also, the elevated SII and NLR levels had an increased risk of mortality;for SII an OR 2.54 (95% CI 1.55-4.15);for NLR an OR 2.16 (95% CI 1.35-3.46). Statistical significance was considered with p=<0.05. CONCLUSIONS: These indexes are an accessible and low-cost tool that can help assess the prognosis of patients hospitalized for SARS-CoV-2 pneumonia. CLINICAL IMPLICATIONS: The SII, NLR and PLR could be useful in identifying patients at risk of death or severe illness who require invasive mechanical ventilation in the earlier phase of SARS-CoV-2 pneumonia. As these indexes are easily quantified from blood sample data, they can reflect the body’s immune status and help assess the prognosis of SARS-CoV-2 pneumonia. DISCLOSURES: No relevant relationships by Amaury Bravo Rodríguez No relevant relationships by JAVIER FIESCO PIÑA No relevant relationships by José Antonio García Cuéllar No relevant relationships by Ruben Antonio Gomez Mendoza No relevant relationships by Damayanty Gomez villanueva No relevant relationships by Karen Hopf Estandía No relevant relationships by Eduardo León Guadarrama No relevant relationships by Alma Daniela Martinez Carrillo No relevant relationships by José Peña Ramírez No relevant relationships by José Pérez Nieto No relevant relationships by Mariela Rosas García No relevant relationships by Fernando Sánchez Mata No relevant relationships by Damayanty Solis Contreras

5.
Edunine2022 - Vi Ieee World Engineering Education Conference (Edunine): Rethinking Engineering Education after Covid-19: A Path to the New Normal ; 2022.
Article in English | Web of Science | ID: covidwho-2018712

ABSTRACT

The low participation of women in STEM fields is considered a critical issue in our society. We analyzed the student population by gender of the school of engineering at Universidad Tecnologica de Bolivar. We found that the share of female first-time students shows a decreasing trend since 2015 and was only 24% in 2020. Gender gaps are wider in electrical, electronic, systems, mechanic, and mechatronic engineering. We also observed that females have lower access to engineering programs, especially in the last three years. The effects of the COVID-19 pandemic have been observed as a reduction of the share of enrolled students vs applicants. In order to increase the participation of women in the programs with higher gender gaps, we developed several activities in 2020 specially designed for secondary students with the participation of female instructors as role models.

6.
Biomed Phys Eng Express ; 8(6)2022 09 05.
Article in English | MEDLINE | ID: covidwho-1992047

ABSTRACT

Objective.The goal of this study was to use Monte Carlo (MC) simulations and measurements to investigate the dosimetric suitability of an interventional radiology (IR) c-arm fluoroscope to deliver low-dose radiotherapy to the lungs.Approach.A previously-validated MC model of an IR fluoroscope was used to calculate the dose distributions in a COVID-19-infected patient, 20 non-infected patients of varying sizes, and a postmortem subject. Dose distributions for PA, AP/PA, 3-field and 4-field treatments irradiating 95% of the lungs to a 0.5 Gy dose were calculated. An algorithm was created to calculate skin entrance dose as a function of patient thickness for treatment planning purposes. Treatments were experimentally validated in a postmortem subject by using implanted dosimeters to capture organ doses.Main results.Mean doses to the left/right lungs for the COVID-19 CT data were 1.2/1.3 Gy, 0.8/0.9 Gy, 0.8/0.8 Gy and 0.6/0.6 Gy for the PA, AP/PA, 3-field, and 4-field configurations, respectively. Skin dose toxicity was the highest probability for the PA and lowest for the 4-field configuration. Dose to the heart slightly exceeded the ICRP tolerance; all other organ doses were below published tolerances. The AP/PA configuration provided the best fit for entrance skin dose as a function of patient thickness (R2 = 0.8). The average dose difference between simulation and measurement in the postmortem subject was 5%.Significance.An IR fluoroscope should be capable of delivering low-dose radiotherapy to the lungs with tolerable collateral dose to nearby organs.


Subject(s)
COVID-19 , Radiotherapy Planning, Computer-Assisted , COVID-19/radiotherapy , Humans , Lung/diagnostic imaging , Monte Carlo Method , Radiology, Interventional , Radiotherapy Planning, Computer-Assisted/methods
8.
Revista Iberoamericana de Tecnologias del Aprendizaje ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-1985492

ABSTRACT

The transformation of education through emerging technologies has been an imperative due to the pandemic of COVID-19, which has forced higher education institutions to propose strategies to provide better experiences for their students. The objective of this research was to identify the challenges and opportunities of using WebVR tools for the development of academic activities, with the intention of interpreting how these technological tools are combined with educational practices among teachers and students. The context was placed in an activity of a graduate level course in online format, in a private higher education institution in Mexico. A qualitative study was conducted with a case study design to account for the perception of the participants regarding the value of the user experience, the analysis of the integrated tools and the contribution of this WebVR tool to the development of competencies in educational practice. The results show that if the technical requirements and a basic level of appropriation of digital competencies are met, including this type of emerging technology will bring benefits to the educational practice, such as the development of transversal and disciplinary competencies, improvement of interaction and socialization of participants, as well as motivation by incorporating playful elements. IEEE

9.
Revista Iberoamericana De Ciencias De La Actividad Fisica Y El Deporte ; 11(2):90-103, 2022.
Article in Spanish | Web of Science | ID: covidwho-1979902

ABSTRACT

The pandemic caused by SARS-COV2, worldwide caused a sedentary lifestyle and damage to mental health in the general population, including university students, a sector that did not escape these adverse effects due to the pandemic. Therefore, the main aim of this research is to evaluate the levels of physical activity (PA) and mental health in university students during the COVID-19 coronavirus (SARS-COV2) pandemic. The DASS-21 scale, the Global Physical Activity Questionnaire (GPAQ) and the SF-36 Health Questionnaire were applied to 63 university students from the State of Veracruz, Mexico, aged 18 to 24 years. The data treatment was carried out in the statistical software SPSS v.25, the results showed that 76.2% of the sample was found in physically active levels, likewise the correlation coefficients made between physical activity (PA) and anxiety (r= -.41) physical activity (PA) and stress (r= -.42) showed negative correlations with moderate to intense magnitudes, respectively. Therefore, it is concluded that performing physical activity during the pandemic was shown to significantly reduce problems related to mental health in university students.

10.
Journal of Critical Infrastructure Policy ; 1(2):85-110, 2020.
Article in English | Scopus | ID: covidwho-1975535

ABSTRACT

While there may be a tendency to characterize COVID-19 as exclu-sively a public health issue, engineered structures and services have both mitigated and exacerbated the pandemic’s march around the globe, raising questions about the role of engineering in controlling pandemics. Any attempts to answer these questions implicate not only the tools, techniques and problems which we define as within the province of engineering, but also the means by which we ar¬rive at this definition. As described here—in settings ranging from nursing homes to prisons to Brazilian favelas—the COVID-19 crisis has upended a number of foundational notions associated with the practice of hazard mitigation through the design and operation of engineered structures and services. It has revealed the need to ex¬amine the conditions and assumptions that characterize the models we construct and the data we collect. We do so through a number of case studies collected during the COVID-19 crisis, leading to im¬plications for the conduct of research and education to support not only further advances in our field but to improved prospects for im¬proved mitigation of pandemics and other hazards. © 2020, Policy Studies Organization. All rights reserved.

11.
7th Brazilian Technology Symposium, BTSym 2021 ; 207 SIST:577-583, 2023.
Article in English | Scopus | ID: covidwho-1971373

ABSTRACT

The objective of this study was to determine the relationship between the quality of telemedicine service in cardiology and user satisfaction during COVID-19 at the Victor Lazarte Echegaray Hospital - Trujillo, Peru, in 2021. The research methodology used is the hypothetical method deductive with a non-experimental quantitative approach and descriptive correlational analysis with cross-sectional design. For this study, a total of n = 96 patients (100%) were surveyed and received care in the telemedicine services in cardiology. Two types of survey instruments were used, the first SERVQHOS is to evaluate the quality of the telemedicine service, and the Second SERVQUAL is for user satisfaction and its dimensions such as reliability, responsiveness, security, empathy, and tangibility. We used the Spearman correlation coefficient to determine the association between telemedicine service quality versus user satisfaction and its dimensions. The results show a significant relationship of p < 0.05 between the two variables and a moderate positive correlation of Rho = 0.525. In addition, most of the patients surveyed (41.7%) during the COVID-19 pandemic indicated that the telemedicine service is regular and safety is acceptable. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

12.
REVISTA ELECTRONICA DE INVESTIGACION EDUCATIVA ; 24, 2022.
Article in Spanish | Web of Science | ID: covidwho-1939628

ABSTRACT

The objective of this research was to identify and characterize actions taken by autonomous public universities in Mexico in response to COVID-19. The study is theoretically grounded in the notion of emergency education, which refers to broad prevention, mitigation, preparation, response, normalization, and educational recovery mechanisms for disasters. We conducted an exploratory-descriptive study, analyzing information posted on university websites from January 15 to June 30, 2020. It was found that many universities adopted reactive measures, albeit with no far-reaching prevention and mitigation strategies before they went into shutdown. We conclude there is a need to develop institutional policies that lay the foundation for an educational culture able to respond proactively to future catastrophes and for a shift from enacting guidelines for academic continuity to preparing broad education programs for emergencies.

13.
Frontiers in Education ; 7:11, 2022.
Article in English | Web of Science | ID: covidwho-1928415

ABSTRACT

Educational institutions have continuously adapted to new realities in school education, accelerated recently by the COVID-19 pandemic's transformation of learning modalities. This article analyzes teachers' and Students' acceptance of a web-based virtual reality (WebVR) tool called Virtual Campus proposed to overcome the limitations of teaching strategies using video conferencing platforms. To measure the acceptance of the Virtual Campus, we designed an instrument based on the Technology Acceptance Model (TAM) that involves variables related to online contexts, the future perception of using the tool, skills development, and appreciation and recommendation. The results indicate that the participants favorably accepted WebVR technology as an alternative teaching methodology in emerging learning scenarios and intend to use it post-pandemic. The best-valued elements were interactions in the socialization spaces, the simulation of presence, and the environmental dynamics. The principal areas of opportunity for improvement were overcoming technical problems and improving the internet connection quality;however, these did not affect the participants' recommendations. Future studies should incorporate variables related to analyzing learning mediated by WebVR-based strategies and using different methodological designs to compare the findings.

14.
Machine Learning-Driven Digital Technologies for Educational Innovation Workshop ; 2021.
Article in English | Web of Science | ID: covidwho-1895917

ABSTRACT

The Covid-19 social distancing policies forced educational institutions to make significant changes. Schools had to migrate to a non-face-to-face modality using technological tools. However, using these communication platforms had negative consequences for students, such as concentration difficulties and feelings of isolation and anxiety. One alternative disruptive technology used to reduce these problems is virtual reality. This research aimed to know the users' experience with a Virtual Campus based on WebVR activities at a higher education institution in Mexico. The methodology applied was a qualitative case study. The results indicated satisfactory student experience, engaged participant interaction, dynamic activities, and socialization in an environment similar to face-to-face education. The main difficulties related to specific technical problems using the tool. However, these did not affect the positive assessment of the participants since 92.7% of the respondents would recommend a friend to use it. Future studies should include the teachers' perspective, design strategies that promote activities organized by students, and inclusion of others unrelated to academia.

16.
Journal of Vascular Surgery ; 75(6):E119-E119, 2022.
Article in English | English Web of Science | ID: covidwho-1880967
17.
International Journal of Advanced Computer Science and Applications ; 13(4):916-924, 2022.
Article in English | Scopus | ID: covidwho-1876222

ABSTRACT

Garbage collection is a responsibility faced by all cities and, if not properly carried out, can generate greater costs or sanitary problems. Considering the sanitary situation due to the COVID-19 pandemic, it is necessary to take sanitary safety measures to prevent its spread. The challenge of the present work is to provide an efficient and effective solution that guarantees a garbage collection that optimizes the use of resources and prioritizes the attention to garbage containers located in or near contagion risk zones. To this end, this research proposes the integration of a basic garbage monitoring system, consisting of a wireless sensor network, and a route planning system that implements the decomposition of the Vehicle Routing problem into the subproblems of clustering and sequencing of containers using the K-Means and Ant Colony algorithms. For the monitoring of garbage, a significant reduction in the measurement error of waste level in the containers was achieved compared to other authors. About route planning, adequate error ranges were obtained in the calculation of the optimal values of distance traveled and travel time indicators with respect to an exhaustive enumeration of routes. © 2022. All Rights Reserved.

18.
Corrosion Reviews ; 0(0):21, 2022.
Article in English | Web of Science | ID: covidwho-1869209

ABSTRACT

The oil and gas industry worldwide is experiencing problems of vandalism and mechanical deterioration due to corrosion in its various pipeline transport systems, a drop in the price of hydrocarbons due to the COVID-19, limitation of maintenance processes. This article provides a contribution original to the knowledge and management of a pipeline transportation system (PTS), without an immediate high impact that would help reduce property loss due to corrosion, through the development of intelligent evaluation models that combine field data, laboratory, and cognitive knowledge in a case study in Mexico. The research is divided into Part 1: modeling, a Fuzzy expert system (FES) unified the knowledge of corrosion specialists and mechanical integrity studies (MIS) and identified evolutionary corrosion patterns with reliability of 0.9029. An artificial neural network (ANN) supported by statistics and metallography establishes test reliability of 0.9556 and determines the corrosion inhibition capacity (C) of Mexican hydrocarbon mixtures based on their properties compared to carbon steel. Part 2: analysis of the operational and economic risk of the PTS under corrosive effects, using Monte Carlo simulation (MCS) estimates various financial scenarios considering corrosive profiles of soils, supply, demand, and inflation.

19.
Chaos Solitons Fractals ; 160: 112238, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1866962

ABSTRACT

This work investigates the impact of the Covid-19 outbreak on crude oil market efficiency. The approach is based on the singular value decomposition (SVD) entropy. Iso-distributional surrogate data test was used to contrast the results against random patterns, and phase randomization based on Fourier transform was used to assess nonlinearities. The analysis considered the WTI market and focused on the Covid-19 pandemic period January 2020-November 2021 and contrasted with the long preceding period from January 2000 to date. It was found that the crude oil market was informationally efficient most of the time with small sporadic deviations from efficiency in the pre-Covid-19 years. The Covid-19 period exhibited the largest deviations from efficiency, mainly in the first months of the outbreak, accompanied by a marked reduction of nonlinear components. The analysis was conducted for different scales, and the results showed that the deviations from efficiency were more pronounced for quarterly scales. For the sake of comparison, the analysis was also carried out on the trading volume dynamics and the results showed that the market activity is not fully random. The dynamics of the trading volume exhibited significant deviations from the randomness behavior when the crude oil market was efficient, and a behavior that was consistent with nonlinear patterns. The opposite behavior was noted for stages when the crude oil market showed strong deviations from efficiency. Overall, the findings of this study suggest an increasing opportunity for crude oil price predictions and abnormal returns during the Covid-19 pandemic.

20.
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao ; 2022(E48):219-230, 2022.
Article in Spanish | Scopus | ID: covidwho-1842728

ABSTRACT

The objective of this article is to define the relationship between “Knowledge Management”, “Digital Competence” and “Reflective Practice” in the personal teacher belonging to an educational network made up of public institutions of regular basic education located in the city of Lima Peru. The study follows a quantitative approach methodology, the research is of a basic type, hypothetical deductive method, and presents a non-experimental design and correlationalcausal level of the research variables. 225 teachers belonging to a network of public educational institutions were taken as a sample. © 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

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