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This manuscript describes the development of a resources module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox at the beginning of this Supplement. This module delivers learning materials on implementing deep learning algorithms for biomedical image data in an interactive format that uses appropriate cloud resources for data access and analyses. Biomedical-related datasets are widely used in both research and clinical settings, but the ability for professionally trained clinicians and researchers to interpret datasets becomes difficult as the size and breadth of these datasets increases. Artificial intelligence, and specifically deep learning neural networks, have recently become an important tool in novel biomedical research. However, use is limited due to their computational requirements and confusion regarding different neural network architectures. The goal of this learning module is to introduce types of deep learning neural networks and cover practices that are commonly used in biomedical research. This module is subdivided into four submodules that cover classification, augmentation, segmentation and regression. Each complementary submodule was written on the Google Cloud Platform and contains detailed code and explanations, as well as quizzes and challenges to facilitate user training. Overall, the goal of this learning module is to enable users to identify and integrate the correct type of neural network with their data while highlighting the ease-of-use of cloud computing for implementing neural networks. This manuscript describes the development of a resource module that is part of a learning platform named ``NIGMS Sandbox for Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox [1] at the beginning of this Supplement. This module delivers learning materials on the analysis of bulk and single-cell ATAC-seq data in an interactive format that uses appropriate cloud resources for data access and analyses.

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Technological tools in education open new learning possibilities. This proposal describes integrating augmented reality and different educational elements to develop engineering competencies, specifically using specialized machinery in the manufacturing laboratory. It is necessary to encourage self-management of learning, where users interact with the devices employing an application that contains significant information about procedures to perform and essential elements to consider when manipulating the machinery. The machines involved include industrial robots, CNC (Computer Numerical Control) lathes and milling machines, and PLCs (Programmable Logic Controls). In a traditional training model, an instructor guides the users in learning how to manipulate the equipment. This proposal intends that the participants use their mobile devices to receive each machine's instruction and the necessary documentation. The participants' learning pace varies. So, the research aimed to reduce the deficit in the disciplinary competencies since, in the traditional methodology, there is no heterogeneity in understanding the contents. We designed a competency development strategy with six laboratory practices, integrating multimedia elements to address the significant learning content of each manufacturing cell device. Each lesson contained information about each device and a practice activity and self-evaluation to ensure learning the content.

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RE S U M E N Este texto presenta una revisión sistemática de artículos científicos, tipo scoping review, sobre educación matemática en programas de ingeniería, en los entornos colombiano y norteamericano, durante el periodo 2000 - 2020. La exploración, surgida del proyecto de investigación "Fundamentos teóricos y metodológicos de la enseñanza de la matemática en ingeniería", siguió los protocolos del Instituto Joanna Briggs y consideró literatura especializada incluida en Scopus y Publindex. La información, clasificada como "experiencia pedagógica", "reflexión" o "revisión", permitió describir tendencias de investigación y acción respecto a la enseñanza, el aprendizaje, el currículo y la evaluación de las matemáticas en ingeniería. Los resultados permitieron concluir que en el contexto norteamericano existe un interés significativo por la investigación sobre el aprendizaje, el currículo y la evaluación de las matemáticas en ingeniería, desde enfoques sistêmicos, interdisciplinarios y socioculturales. En contraste, la literatura sobre el tema en Colombia presenta una tendencia al estudio de procesos de enseñanza, desde perspectivas disciplinares y cognitivas de la educación matemática.

This paper presents a systematic review of scientific articles, scoping review type, on mathematics education in engineering programs, in the Colombian and North American environments, during the period 2000 - 2020. The exploration, which arose from the research project "Theoretical and methodological foundations of mathematics education in engineering", followed the protocols of the Joanna Briggs Institute and considered specialized literature included in Scopus and Publindex. The information, classified as "pedagogical experience", "reflection" or "review", allowed describing research and action trends regarding teaching, learning, curriculum and assessment of engineering mathematics. The results allowed concluding that in the North American context there is a significant interest in research on learning, curriculum and assessment of engineering mathematics, from systemic, interdisciplinary and sociocultural approaches. In contrast, the literature on the subject in Colombia presents a tendency to study teaching processes from disciplinary and cognitive perspectives of mathematics education.

Este texto apresenta uma revisão sistemática de artigos científicos, tipo revisão de escopo, sobre educação matemática em programas de engenharia, nos ambientes colombiano e norte-americano, durante o período de 2000 a 2020. A exploração, decorrente do projeto de pesquisa "Fundamentos teóricos e metodológicos da educação matemática em engenharia", seguiu os protocolos do Instituto Joanna Briggs e considerou literatura especializada incluída no Scopus e no Publindex. As informações, classificadas como "experiência pedagógica", "reflexão" ou "revisão", permitiram descrever as tendências de pesquisa e ação em relação ao ensino, aprendizagem, currículo e avaliação da matemática de engenharia. Os resultados levaram à conclusão de que no contexto norte-americano há um interesse significativo na pesquisa sobre aprendizagem, currículo e avaliação de matemática de engenharia a partir de abordagens sistêmicas, interdisciplinares e socioculturais. Em contraste, a literatura sobre o assunto na Colômbia mostra uma tendência a estudar os processos de ensino a partir de perspectivas disciplinares e cognitivas da educação matemática.

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BACKGROUND: The growing demand for more efficient, timely, and safer health services, together with insufficient resources, put unprecedented pressure on health systems worldwide. This challenge has motivated the application of principles and tools of operations management and lean systems to healthcare processes to maximize value while reducing waste. Consequently, there is an increasing need for professionals with the appropriate clinical experience and skills in systems and process engineering. Given their multidisciplinary education and training, biomedical engineering professionals are likely among the most suitable to assume this role. In this context, biomedical engineering education must prepare students for a transdisciplinary professional role by including concepts, methods, and tools that commonly belong to industrial engineering. This work aims to create relevant learning experiences for biomedical engineering education to expand transdisciplinary knowledge and skills in students to improve and optimize hospital and healthcare care processes. METHODS: Healthcare processes were translated into specific learning experiences using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. This model allowed us to systematically identify the context where learning experiences were expected to occur, the new concepts and skills to be developed through these experiences, the stages of the student's learning journey, the resources required to implement the learning experiences, and the assessment and evaluation methods. The learning journey was structured around Kolb's experiential learning cycle, which considers four stages: concrete experience, reflective observation, abstract conceptualization, and active experimentation. Data on the student's learning and experience were collected through formative and summative assessments and a student opinion survey. RESULTS: The proposed learning experiences were implemented in a 16-week elective course on hospital management for last-year biomedical engineering undergraduate students. Students engaged in analyzing and redesigning healthcare operations for improvement and optimization. Namely, students observed a relevant healthcare process, identified a problem, and defined an improvement and deployment plan. These activities were carried out using tools drawn from industrial engineering, which expanded their traditional professional role. The fieldwork occurred in two large hospitals and a university medical service in Mexico. A transdisciplinary teaching team designed and implemented these learning experiences. CONCLUSIONS: This teaching-learning experience benefited students and faculty concerning public participation, transdisciplinarity, and situated learning. However, the time devoted to the proposed learning experience represented a challenge.

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Sustainable Engineering education must provide cyber-physical and distributed systems competencies, such as the Internet of Things (IoT), to contribute to the Sustainable Development Goals (SDG). The COVID-19 pandemic caused profound impacts arising from a traditional on-site teaching model rupture and demanded distance learning for engineering students. In this context, we considered the following Research Questions (RQ): How can Project Based Learning (PjBL) be applied in hardware and software courses from the Engineering curriculum to foster practical activities during the COVID-19 pandemic? Is the student performance in the fully remote offering comparable to the face-to-face offering? (RQ1); Which Sustainable Development Goals are related to the Engineering students' project themes? (RQ2). Regarding RQ1, we present how PjBL was applied in first-, third- and fifth-year Computer Engineering Courses to support 31 projects of 81 future engineers during the COVID-19 pandemic. Student grades in a Software Engineering course indicate no relevant differences between student performance in remote and face-to-face offerings. Regarding RQ2, most Computer Engineering students from the Polytechnic School of the University of São Paulo in 2020 and 2021 decided to create projects related to SDG 3-Good Health and Well-being, SDG 8-Decent Work and Economic Growth and SDG 11-Sustainable Cities and Communities. Most projects were related to health and well-being, which was an expected behavior according to how health issues were brought into highlight during the pandemic.

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Currently, remote laboratories have gained relevance in engineering education as tools to support active learning, experimentation, and motivation of students. Nonetheless, the costs and issues regarding their implementation and deployment limit the access of the students and educators to their advantages and features such as technical and educational. In this line, this study describes a fully open-source remote laboratory in hardware and software for education in automatic control systems employing Raspberry Pi and Python language with an approximate cost of USD 461. Even, by changing some components, the cost can be reduced to USD 420 or less. To illustrate the functionalities of the laboratory, we proposed a low-cost tank control system with its respective instrumentation, signal conditioning, identification, and control, which are exposed in this document. However, other experiments can be easily scalable and adaptable to the remote laboratory. Concerning the interface of the laboratory, we designed a complete user-friendly web interface with real-time video for the users to perform the different activities in automatic control such as identification or controller implementation through the programming language Python. The instructions to build and replicate the hardware and software are indicated in the open repositories provided for the project as well as in this paper. Our intention with this project is to offer a complete low-cost and open-source remote laboratory that can be adapted and used for the students, educators, and stakeholders to learn, experiment, and teach in the field of automatic control systems.

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The educational sector has made extraordinary efforts to neutralize the impact of the pandemic caused by COVID-19, forcing teachers, scholars, and academic personnel to change the way education is delivered by developing creative and technological solutions to improve the landscape for education. The Internet of Things (IoT) is crucial for the educational transition to digital and virtual environments. This paper presents the integration of IoT technology in the Two-Dimensional Cartesian Coordinate System Educational Toolkit (2D-CACSET), to transform it into MEIoT 2D-CACSET; which includes educational mechatronics and the IoT. The Educational Mechatronics Conceptual Framework (EMCF) is extended to consider the virtual environment, enabling knowledge construction in virtual concrete, virtual graphic, and virtual abstract levels. Hence, the students acquire this knowledge from a remote location to apply it further down their career path. Three instructional designs are designed for this work using the MEIoT 2D-CACSET to learn about coordinate axes, quadrants, and a point in the 2D Coordinate Cartesian System. This work is intended to provide an IoT educational technology to offer an adequate response to the educational system's current context.

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Higher education institutions globally were forced to transition to remote teaching and learning when the Covid-19 pandemic impacted the world in 2020. The rushed, unplanned nature of the transition led to the approach being labeled Emergency Remote Teaching (ERT). This paper evaluates the impact of ERT on a blended course in engineering using a descriptive case study approach applying the Context, Input, Process and Product (CIPP) evaluation model. The context analysis highlighted the need for consistent training in the use of technology, technical support for stakeholders, greater access to the Internet and timely, targeted communication. Students appreciated the convenience of online classes and accessibility to recorded lectures and labs allowing them to review at their own pace. There was a perception that the new learning environment placed some students at a disadvantage. These findings suggested a need to ensure deliberate planning for online learning from the start and attention to building a community of learners. Findings from the study can contribute to a university's exploration of the academic enterprise. These findings can also help identify mitigating factors for effective online learning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43545-021-00172-z.

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Na formação de engenheiros, a criatividade é valorizada por estar relacionada com inovação, mas há muitos desafios para serem enfrentados a fim de encorajá-la nesse contexto. Buscando oferecer condições para o desenvolvimento da criatividade no ensino superior, a literatura investiga a existência de fatores pessoais e ambientais que podem facilitar ou inibir a expressão criativa dos universitários. O objetivo foi identificar preditores de barreiras à criatividade de estudantes de engenharia, considerando variáveis pessoais e acadêmicas. Participaram 374 universitários, que responderam ao Questionário para Caracterização da Amostra e ao Inventário de Barreiras à Criatividade Pessoal. Regressão logística múltipla foi usada para tratamento dos dados. A variável resposta (se concordam ou não com fatores que refletem barreiras à criatividade) foi explicada levando em consideração um conjunto de variáveis preditoras (idade, gênero, curso de engenharia, período de curso e se trabalha). Os principais resultados sugerem que as variáveis gênero feminino e primeiro ano do curso foram preditoras para a barreira Inibição/Timidez; e as variáveis primeiro e segundo ano do curso foram preditoras para a barreira Repressão Social. Discutiu-se a importância desses resultados na ampliação de recursos pessoais e no fortalecimento de uma cultura institucional voltada para a valorização e o desenvolvimento da criatividade. (AU)

In engineering education, creativity is valued for being related to innovation, but there are challenges to be faced in order to encourage it in the undergraduate context. Seeking to offer conditions for the development of creativity in higher education, the literature investigates the existence of personal and environmental factors that can facilitate or inhibit the creative expression. The objective was to identify predictors of barriers to creativity in engineering students, considering personal and academic variables. Three hundred and seventy-four students participated, responding to the Questionnaire for Sample Characterization and Inventory of Barriers to Personal Creativity. Multiple logistic regression was used for data processing. The response variable (whether or not they agree with factors that reflect barriers to personal creativity) was explained taking into account predictor variables (age, gender, type of course, period of course and job). The main results suggest variables like female gender and first year of the course are predictors for the Inhibition/Shyness barrier; and first and second years of the course are predictors for the Social Repression barrier. These results are important to expand personal resources and strengthen an institutional culture focused on the appreciation and development of creativity. (AU)

En la formación educación de ingenieros en ingeniería, la creatividad se valora por estar relacionada con la innovación, pero hay muchos desafíos para enfrentar el debe fomento arse en ese contexto. Buscando ofrecer condiciones para el desarrollo de la creatividad en la educación superior, la literatura investiga la existencia de factores que pueden facilitar o inhibir la expresión creativa de los estudiantes universitarios. El objetivo fue identificar predictores de barreras a la creatividad en estudiantes de ingeniería, considerando variables personales y académicas. Participaron 374 estudiantes, que quienes respondieron el Cuestionario para la Caracterización de Muestras y el Inventario de Barreras a la Creatividad Personal. La regresión logística múltiple se utilizó para el análisis de los datos. La variable respuesta (si están o no de acuerdo con factores que reflejan barreras para la creatividad) se explicó teniendo en cuenta las variables predictivas (edad, género, curso, período de curso y trabajo). Los resultados sugieren que las variables género femenino y primer año del curso fueron predictores de la barrera de inhibición/timidez; y primer y segundo año del curso fueron predictores de la barrera de represión social. La importancia de estos resultados se discute en la expansión de los recursos personales y en el fortalecimiento de una cultura institucional dirigida a valorar y desarrollar la creatividad. (AU)

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Engineering education benefits from the application of modern technology, allowing students to learn essential Science, Technology, Engineering, and Mathematics (STEM) related concepts through hands-on experiences. Robotic kits have been used as an innovative tool in some educational fields, being readily accepted and adopted. However, most of the time, such kits' knowledge level requires understanding basic concepts that are not always appropriate for the student. A critical concept in engineering is the Cartesian Coordinate System (CCS), an essential tool for every engineering, from graphing functions to data analysis in robotics and control applications and beyond. This paper presents the design and implementation of a novel Two-Dimensional Cartesian Coordinate System Educational Toolkit (2D-CACSET) to teach the two-dimensional representations as the first step to construct spatial thinking. This innovative educational toolkit is based on real-time location systems using Ultra-Wide Band technology. It comprises a workbench, four Anchors pinpointing X+, X-, Y+, Y- axes, seven Tags representing points in the plane, one listener connected to a PC collecting the position of the Tags, and a Graphical User Interface displaying these positions. The Educational Mechatronics Conceptual Framework (EMCF) enables constructing knowledge in concrete, graphic, and abstract levels. Hence, the students acquire this knowledge to apply it further down their career path. For this paper, three instructional designs were designed using the 2D-CACSET and the EMCF to learn about coordinate axes, quadrants, and a point in the CCS.

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In this paper, we present the development of a low-cost multi-agent system experimental platform for teaching, and research purposes. The platform consists of train-like autonomous agents equipped with local speed estimation, distance sensing to their nearest predecessor, and wireless communications with other agents and a central coordinator. The individual agents can be used for simple PID experiments in a classroom or laboratory setting, while a collection of agents are capable of performing decentralized platooning with cooperative adaptive cruise control in a variety of settings, the latter being the main goal of the platform. The agents are built from low cost components and programmed with open source software, enabling teaching experiences and experimental work with a larger number of agents that would otherwise be possible with other existing solutions. Additionally, we illustrate with experimental results some of the teaching activities that the platform is capable of performing.

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Due to the emergence of the coronavirus disease (COVID 19), education systems in most countries have adapted and quickly changed their teaching strategy to online teaching. This paper presents the design and implementation of a novel Internet of Things (IoT) device, called MEIoT weather station, which incorporates an exogenous disturbance input, within the National Digital Observatory of Smart Environments (OBNiSE) architecture. The exogenous disturbance input involves a wind blower based on a DC brushless motor. It can be controlled, via Node-RED platform, manually through a sliding bar, or automatically via different predefined profile functions, modifying the wind speed and the wind vane sensor variables. An application to Engineering Education is presented with a case study that includes the instructional design for the least-squares regression topic for linear, quadratic, and cubic approximations within the Educational Mechatronics Conceptual Framework (EMCF) to show the relevance of this proposal. This work's main contribution to the state-of-the-art is to turn a weather monitoring system into a hybrid hands-on learning approach thanks to the integrated exogenous disturbance input.

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BACKGROUND: The COVID-19 pandemic is challenging companies worldwide and undergraduate courses need to consider this context within their disciplines, especially regarding human factors and ergonomics. For this, professors should plan how to insert this knowledge into the program content of their discipline. OBJECTIVE: This commentary aims to present how this insertion will be conducted in the second academic semester of 2020 in the discipline "Productive Systems" of the mechanical engineering undergraduate course offered by a Brazilian university. METHODS: This commentary is based on the authors' points of view and experiences. However, the presented discussion is based on institutional websites and international articles. RESULTS: It is possible to verify that human factors and ergonomic aspects related to the pandemic can be debated in several topics of the analyzed discipline. CONCLUSIONS: Besides presenting the planning of inserting these aspects, this commentary expands the debates on the subject.

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Abstract In this paper, the authors have carried out a systematic study and review of a set of researches and publications, regarding the theme of how to improve training programs in biomedical engineering, and make a contribution to the specialization in the area of clinic engineering.

Resumen En este artículo, los autores han realizado un estudio y revisión sistemática de un conjunto de investigaciones y publicaciones sobre el tema de cómo mejorar los programas de capacitación en ingeniería biomédica y contribuir a la especialización en el área de ingeniería clínica.

Resumo Neste trabalho realizou-se um estudo e revisão sistemática de um conjunto de investigações e publicações sobre o tema de como melhorar os programas de capacitação em engenharia biomédica e contribuir à especialização na área de clínica Engenharia.

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INTRODUCTION: The learning of core concepts in neuroscience can be reinforced by a hands-on approach, either experimental or computer-based. In this work, we present a web-based multi-scale neuromuscular simulator that is being used as a teaching aid in a campus-wide course on the Principles of Neuroscience. METHODS: The simulator has several built-in individual models based on cat and human biophysics, which are interconnected to represent part of the neuromuscular system that controls leg muscles. Examples of such elements are i) single neurons, representing either motor neurons or interneurons mediating reciprocal, recurrent and Ib inhibition; ii) afferent fibers that can be stimulated to generate spinal reflexes; iii) muscle unit models, generating force and electromyogram; and iv) stochastic inputs, representing the descending volitional motor drive. RESULTS: Several application examples are provided in the present report, ranging from studies of individual neuron responses to the collective action of many motor units controlling muscle force generation. A subset of them was included in an optional homework assignment for Neuroscience and Biomedical Engineering graduate students enrolled in the course cited above at our University. Almost all students rated the simulator as a good or an excellent learning tool, and approximately 90% declared that they would use the simulator in future projects. CONCLUSION: The results allow us to conclude that multi-scale neuromuscular simulator is an effective teaching tool. Special features of this free teaching resource are its direct usability from any browser (http://remoto.leb.usp.br/), its user-friendly graphical user interface (GUI) and the preset demonstrations.

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A inserção de temas específicos da Engenharia Biomédica (EB) nos cursos de graduação em Engenharia Elétrica (EE) foi examinada em levantamento da oferta de disciplinas nesta área, realizado nos 214 cursos de EE que possuem dados sobre as grades curriculares e disciplinas em seus sítios na internet. Foram levantadas informações sobre os cursos de pós-graduação (PG) em EB existentes no Brasil, relacionadas à oferta de disciplinas de EB na graduação. Nossos dados indicam que apenas 7,5% dos cursos de EE examinados possuem pelo menos uma disciplina de EB, concentrados nas escolas públicas (87,5%) e nas regiões sul e sudeste do país (75%). Nestes poucos cursos, foram identificadas 40 disciplinas de EB. Apenas 11 delas oferecem introdução geral aos diferentes aspectos da área; os 3/4 restantes restringem-se a aspectos específicos de subáreas da EB. Além disso, 87,5% destas disciplinas são de caráter eletivo (ou não-obrigatório), com abordagem exclusivamente teórica dos temas (14,0% do total de horas-aula nas disciplinas de EB). Dos 10 programasde PG em EB, 60,0% estão em IES cujos cursos de EE possuem disciplinas específicas EB; 62,5% das disciplinas de EB são oferecidas por IES que não têm programas de PG na área, indicando pouca correlação entre a existência de um programa de PG em EB e a oferta de conteúdos nesta área para a graduação em EE. Estes dados sugerem a necessidade de inserção mais substancial e estruturada de temas de EB nos cursos de graduação em EE, em especial nas instituições privadas de ensino, e de estímulo a uma maior contribuição dos programas de PG no ensino de graduação em EE.

The present study surveyed the disciplines on Biomedical Engineering (BE) offered in 214 Electrical Engineering (EE) undergraduate courses in Brazilian Universities. Data on discipline content and other characteristics, as well as their association with graduate courses, were gathered from Internet sites in August and September, 2007. Our data indicate that only 7.5% of the Brazilian EE courses present at least one discipline on EB themes, greatly concentrated in public institutions and in the more developed south/southeast states. In only 25% of these few courses there are introductory disciplines presenting most of the different EB areas. In the remaining courses, only specific aspects of particular EB areas are presented in a fragmentary, isolated and non contextualized way. Furthermore, 87.5% of these EB disciplines are optional in the curriculium, and practical classes or approaches were offered in only 14% of the total class schedule. While 62.5% of the EB disciplines are offered by institutions that have graduating courses in EB, only 60% of the Brazilian graduation courses are involved in undergraduate EB disciplines. These data point to the need of a more structured and intensive inclusion of EB themes in the undergraduate courses (particularly in private institutions), as well as to the importance of a closer involvement of graduate courses in undergraduate instruction.

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