International Journal for Innovation Education and Research (IJIER)
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Lessons Learned from Health Care Students Playing Victim in Mass Casualty Incident Disaster Drill
No full textPurpose To educate health care students on the importance of emergency preparedness and disaster response training related to self-confidence and critical thinking needed when caring for victims of mass casualty incidents (MCI).
Method A mixed-method design was employed. A post intervention-survey was administered to radiologic sciences and nursing students following their participation in a full-scale mass casualty disaster drill scenario. The quantitative data are presented as descriptive statistics along with Bowker’s Test of Symmetry. The open-ended questions were analyzed for patterns of similarity and differences among student responses. Several questions asked participants to evaluate their perceived knowledge and confidence before and after their participation in the MCI simulation.
Results Data demonstrated that participants were made aware of their limited knowledge concerning necessary patient care skills needed during an MCI. In comparing the students’ willingness to care for MCI patients before the mock drill to after the mock drill, the students’ willingness increased and was statistically significant as indicated by a Bowker’s Test of Symmetry. Similarly, in comparing the students’ perceived confidence of their patient care skills before and after the mock drill, the participant's confidence level increased and was statistically significant as indicated by a second Bowker’s Test.
Discussion Participants gained new knowledge of how community partners work together in response to an MCI event and the different roles each play. Additional take-away lessons revealed an increase in patient empathy. Both qualitative and quantitative questions highlight the students’ emotions and behavioral reactions as a result of acting as a trauma patient in the disaster drill.
Conclusion The full-scale disaster drill was an effective tool in educating health care students of the diverse emergency operations that take place following a disaster and what is required to save lives
A diagnostic challenge in an individual with Paracoccidioidomycosis during hospitalization in times of COVID-19
No full textParacoccidioidomycosis (PCM) is a deep fungal infection, endemic with considerable morbidity in South America, whose first symptoms can occur in the oral cavity. A 47-year-old male patient, leucoderma, living on the streets, presenting dyspnea, pain during the speech, and dysphagia, was referred for admission to the ICU for suspected COVID-19 infection. The intensive care physician's evaluation revealed a tongue lesion with suspected carcinoma. By dentist investigation, was observed the presence of moriform lesions with high borders delimitation in the tongue. Also, granulomatous ulcers with irregular texture, suggesting moriform stomatitis, the chest tomography revealed diffuse thickening of the bronchial walls, indicating chronic bronchopathy with discrete centrilobular nodules, sometimes confluent. Incisional tongue biopsy associated with lung imaging confirmed the diagnosis of PCM, and the patient was referred to the referral center for the treatment of fungal diseases. The involvement of the oral environment as a region to the appearance of detectable first symptoms of PCM suggests the need for the oral evaluation by a specialist as a diagnostic tool
THE COMMON NATIONAL CURRICULUM BASE AND THE CHALLENGES FOUND IN THE INITIAL TRAINING OF TEACHERS
No full textThe present study aims to analyze how the literature perceives the National Curricular Common Base and how fundamental its approach is in the initial training of teachers, since it is noticeable that there are many professionals unprepared in relation to the use of this document. For this purpose, the methodology of literature review and document analysis was used, and is based on documents, articles and books, which address the BNCC and teacher training throughout Brazil. It was considered through the literature that these challenges happen as a result of the poor training of teachers, which according to the literature should be changed, given that teachers in their training must have at least basic knowledge
Physical-mechanical characterization of Amazonian woods by non-destructive methodology for the manufacture of EGP (Edge Glued Panel) panels
No full textStudies of the technological properties of little-known native species are essential for an indication of sustainable management of the Amazon. The study aimed to evaluate the physical-mechanical performance of five Amazonian species obtained from an area managed in the Amazon by a non-destructive methodology, and to indicate their use to manufacture EGP panels. The samples were obtained from non-flooded secondary forest in the Amazon/Brazil (EEST/INPA). Fifteen trees were selected to determine the physical-mechanical properties, using the microwave system to determine the moisture, the apparent density test and the dynamic modulus of elasticity (MOEd). The microwave system presents better drying performance when compared to the conventional method (artificial drying), considering that the dry woods in this system present greater stability in the equilibrium moisture, and the woods from Murici, Breu vermelho and Angelim pedra presented content close to 12%, ideal moisture for EGP manufactures. The apparent density of the woods varied from 0.76 to 1.18 g.cm-3, classified as high density, following the standards of tropical woods. The studied woods presented MOEd of 11,175 to 14,109 MPa, thus demonstrating good resistance, and lower risk of deformation for the different uses, including for EGP panels, whether structural or not, being necessary to consider the type of adhesive. The quality of the studied woods presents a promising result for industrial indication, since they are mostly unknown or non-commercial woods, where technological characterization is a key tool to assist in decision making in the forest management plans that may indicate the use of new species in the forestry sector
Biogenic Synthesis and antibiofilm efficacy of iron nanoparticles via computer simulation
No full textThe search for new drugs can be accelerated by in silico methods, i.e., fully computational methods known for their speed and low cost, allowing the analysis of a large amount of data, e.g., thousands of possible antimicrobials, in a few weeks. Molecular docking and first-principles calculations are great allies in this quest. They enable the assessment of protein-ligand interactions and can predict interactions between NPs and macromolecules to provide more information about the interactions and dynamics of NPs in biological systems. In this context, this work aims to use in silico methods to detect the formation of biogenic metallic nanoparticles from functional microalgal biomolecules of the genus Chlorella, which have chelation of metal ions as a fundamental property, and to verify the possible antibacterial biofilm efficacy using computational tools such as molecular docking. In a first analysis, it was found that the iron salt FeSO4 was the most suitable to bind the microalgal enzyme and produce its phytochelatin protein. Following this result, an analysis of the electronic structure of the phytochelatin complex with the iron salt was carried out, proving its structural modification at the nanometric level, after which an analysis of its therapeutic effect on antibiofilm activity was performed. S. aureus, a bacterium known for its multiresistant to antibiotics, these results demonstrate, through alternative in silico methods, the physiological role of phytochelatin from microalgae in the detoxification and bioremediation of metallic contaminants
Herbicide resistance technologies in soybean cultivars
No full textThe objective of this work was to carry out a technical analysis of the biotechnologies that confer resistance to herbicides in soybeans. Two experiments were carried out (I and II) in the agricultural years 2016/17 and 2017/18, using a randomized block design with six and four replicates. In experiment I, two forms of management in weed control were evaluated for each technology studied (Roundup Ready® and Liberty Link®) and for conventional soybeans, as well as grain yield. In experiment II, the efficiency of using different herbicides to control voluntary soybeans (with and without technology) was evaluated. The pre-emergent herbicides in both managements proposed for the cultivars controlled the weeds from the emergence of the soybean crop to the application of the post-emergent herbicides in both crops. Likewise, all post-emergent herbicides showed weed control above 90% at 14 and 28 days after application. In the evaluation of the chemical control of Garra IPRO voluntary soybean, the herbicide 2,4-D stood out among the others for being more efficient in both agricultural years (above 90%). The herbicides glyphosate, 2,4-D and metsulfuron-methyl are the most effective in controlling voluntary soybean cultivars BRS 284 and CZ16B39LL
Biological in silico effects of ω-3 and its derivates during pregnancy and postpartum
No full textPregnancy is a crucial time for the development of fetal health, so the mother’s diet must be healthy and balanced. Omega-3 is one of the most important nutrients during this time, as it has beneficial effects for both the mother and the fetus. The aim of this article is to evaluate the in silico biological effects of omega-3 and its derivatives during pregnancy and postpartum, using online software and molecular docking tools. These have been shown to be beneficial to the fetus, especially in the first trimester of pregnancy
The use of personalized medicine combined with artificial intelligence to monitor people with Covid-19
No full textSince the emergence of the pandemic caused by the SARS-CoV-2 virus (coronavirus disease or COVID-19), the generalities since its emergence, from the clinical picture, as well as the findings observed in AI (Artificial Intelligence) diagnostic methods applied to medicine personalized. This article is a literature review regarding the use of personalized medicine combined with artificial intelligence to monitor people with covid-19. The continuous evolution of intelligent systems aims to provide better reasoning and more efficient use of collected data. This use is not restricted to retrospective interpretation, that is, to provide diagnostic conclusions. It can also be extended to prospective interpretation, providing an early prognosis. That said, physicians who could be assisted by these systems find themselves in the gap between the clinical case and in-depth technical analyses. What is missing is a clear starting point for approaching the world of machine learning in medicine
The use of assistive technological tools in people with depression arising from the Covid Pandemic
No full textDepression is a disease that affects approximately 60 million people in the world each year, affecting around 11.5 million Brazilians, which presents in the individual severe anxiety disorders, which may evolve into cases of suicide, ranking among the 20 major causes of death/ year. As a result of Covid-19, approximately 90% of cases of depression in Brazil in the last year increased and people with anxiety crisis and symptoms of acute stress doubled in 2020, and this increases concerns regarding the social isolation that extends. This study aimed to investigate the resources of assistive technologies applied to depressive cases with potential application as treatment mechanisms in the context of the COVID-19 pandemic. This is a study with an exploratory objective, a quantitative approach and a bibliographic procedure and descriptors databases. The study evaluated the presence of 306 articles, being used as a filter the interval between 5 and 10 years of publication. The tools used to depression acquired during the pandemic were also discussed, where the results contributed to broader reflections on the challenges imposed by the pathology. Some interesting results were obtained with the application of Tec. Assistive (AT) depressed patients by Covid-19, highlighting: remote care, electroconvulsive therapy, Deprexis, in addition to art therapy and music therapy, the latter being calls for integrative and complementary practices in health (PICs) with application encouraged by SUS showing great relevance and effectiveness in the treatment. The research carried out has shown the potential of ED tools to address the effects of depression in people with Covid-19. This study encourages the development of new research and the development of instruments that are more specific to this need in order to minimize the problems arising from this disease
Architectural design of classroom to stimulate learning in Higher Education: An Approach Connected with Neuroeducation and Neuroarchitecture
No full textThe architectural design of learning spaces in higher education has undergone profound changes with the new educational perspectives that break with traditional pedagogical practice supported by control, hierarchy, and information dissemination. Educational institutions are gradually seeking disruptive models that enhance new learning experiences. This article presents references of innovative projects of learning and interaction spaces, that have been added to the principles of Neuroeducation and Neuroarchitecture for the development of architectural strategies for a new classroom proposal for the Bahia State University. As a result, the project brings preliminary studies to the Learning Environment Model for Higher Education (LEMHE). A flexible model, divided into three learning areas: flexible zone (active); introspection zone, and relaxing zone. This zoning aims to provide diverse experiences of pedagogical practices, added to respect the physiological needs of its users to enhance well-being and learning in higher education