Use of digital resources in the mozambic school environment: challenges in higher education

O presente artigo visa avaliar o nível de competência dos professores do ensino superior, no uso de recursos digitais no ambiente escolar em Moçambique, numa perspectiva da formação adequada, de modo, a que, este uso potencie sucessos no processo de ensino-aprendizagem quer para os professores quer para os alunos. Versado na abordagem qualitativa e exploratória quanto ao objetivo, este artigo resulta duma revisão da literatura, partindo da seguinte questão de investigação: Quais são os desafios impostos aosprofessores, do ensino superior, no uso de recursos digitais em ambiente escolar em Moçambique? A base de compilação dos conteúdos do objeto da pesquisa decorreu via on-line, através do Google Académico, envolvendo vários artigos e trabalhos de teses de doutoramento. A categorização e análise de dados, baseada em análise de conteúdo, permitiu demonstrar que a intensificação do uso das tecnologias no nível superior, em Moçambique, partiu com o surgimento da pandemia covid-19 e visava dar continuidade do ensino online com encerramento das aulas presenciais. Assim, desde que a pandemia surgiu, o sector de educação ganhou uma nova dinâmica pedagógica na integração e uso de recursos digitais de informação e comunicação e conduziu os principais atores pedagógicosde todo subsistema de ensino na integração de novas competências pedagógicas para dar seguimento ao processo de ensino-aprendizagem. Ao nível do ensino superior, esta inovação é usada quando os docentes interagem com os alunos, como forma de evitar maior concentração e contacto direto entre os alunos e os professores, cujos dispositivos específicos em uso nesta modalidade são a máquina foto, scanner, telemóvel, computador, notebook, PC/Tablet, PDA, iPad, pendrive. Para além destes, destaca-se a internet (videoconferência, teleconferência, bibliotecas digitais, Wikipédia, Google) robótica, havendo casos onde se recorre à plataforma de WhatsApp por se considerar viável e de fácil acesso.This article aims to assess the level of competence of higher education teachers in the use of digital resources in the school environment in Mozambique, from the perspective of adequate training, so that this use can lead to success in the teaching-learning process for both teachers and students. Based on a qualitative and exploratory approach, this article is the result of a literature review, based on the following research question: What are the challenges for higher education teachers in using digital resources in a school environment in Mozambique? The basis for compiling the contents of the research object was online, through Google Scholar, involving various articles and doctoral theses. The categorization and analysis of data, based on content analysis, has shown that the intensification of the use of technologies at higher education level in Mozambique began with the emergence of the covid-19 pandemic and aimed to provide continuity in online education when face-to-face classes were closed. Thus, since the pandemic emerged, the education sector has gained a new pedagogical dynamic in the integration and use of digital information and communication resources and has led the main pedagogical actors of the entire education subsystem to integrate new pedagogical skills to continue the teaching-learning process. In higher education, this innovation is used when teachers interact with students, as a way of avoiding greater concentration and direct contact between students and teachers, whose specific devices in use in this modality are the photoD machine, scanner, cell phone, computer, notebook, PC/Tablet, PDA, iPad, pendrive. In addition to these, the internet (videoconferencing, teleconferencing, digital libraries, Wikipedia, Google, Skype) Robotics, and there are cases where the WhatsApp platform is used because it is considered viable and easily accessible.info:eu-repo/semantics/publishedVersio

Optimization model for waiting list management and service continuous improvement

Purpose - This study aims to assess the number of hours*doctor required per day in each week, in a time horizon of 52 weeks, so that it is possible to gradually and controllably reduce the waiting list and the response time for the triage process that precedes the scheduling of an hospital appointment of orthopaedics speciality. A national decree law requires a response time equal or less than 5 days for the triage process, but currently, in the hospital under study, with a waiting list of 1244 users, the response time is, on average, 66 days for the speciality of orthopaedics. Design / methodology / approach - With a team of orthopaedists (constituted with the objective of improving access to orthopaedics speciality appointments), the current status of the waiting list was analysed and possibilities for improvement were discussed. Based on the professional's expertise, several parameters were defined as the more relevant to manage the waiting list for the triage process, allowing the development of an optimization model which aims to minimize the number of hours*doctor per day per week required to achieve the defined objectives. Findings - The model is able to define an optimal number of hours*doctor per day per week meeting all the process constraints. Thus, it is required 1400 hours*doctor to reduce and maintain the waiting list between the boundaries defined as acceptable, as well as reduce the waiting time to 9 days. The model is also capable of orienting the professionals to search alternative optimal solutions that for specific contexts may better fill the hospital needs. Originality / value - This study presents a tool that can support waiting lists management across any service provided by health organizations. The model ease of use allows for fast parameterization and results achievement in continuous improvement meetings.The authors would like to thank to the hospital administration and health professional that collaborated with the research team during this work. This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Projects UIDB/00319/2020 and POCI-01-0145-FEDER-030299

A systematized approach for reduction of medical appointment waiting list

Paper aims: This work aims to develop a systematized approach for the reduction of medical appointment waiting lists, proposing an optimization decision-making model followed by continuous people engagement towards a systematic approach for waiting list problem-solving. Originality: There are several studies related to waiting lists in healthcare contexts, however, the present study presents an innovative approach for waiting list problem-solving by proposing prescriptive decision-making models followed by continuous improvement and people engagement. Research method: A research approach with the following phases was developed: system analysis, problem quantification, and development of an optimization model. After these phases, the model was applied, and the results were analysed, as contributions to a systematized model. Main findings: The model was applied to the screening waiting list for orthopaedics appointments followed by the fundamental involvement of medical doctors, which made it possible to implement the optimal solution generated by the model, resulting in a reduction of 90% by 56 days in waiting time for the screening process. Implications for theory and practice: This model contributes for theory and for practice as a way to deal with different scenarios for waiting list reduction in the upcoming days during and after the pandemic.This work was supported by projects UIDB/00319/2020 and POCI-01-0145-FEDER-030299, from Fundação para a Ciência e Tecnologia (FCT), Portugal

Industrial management for industry 4.0 – simulation system to support learning of opportunities and challenges of dealing with real-time data

The fourth industrial revolution brings many opportunities for the exploration of new business models, based on increasing digitalization that ultimately enables the prediction of the behavior of systems. Several challenges may be identified in the Industrial Management (IM) field. One of the most relevant is the opportunity to deal with real-time data and adapt the decision-making processes with agile approaches. IM learners will need to increase their awareness of these opportunities and challenges, both in professional training and in higher education. Thus, this study proposes a simulation system to support the learning process of opportunities and challenges to deal with big data from production systems' sensors. The proposed simulation system implements simple dispatching rules for the jobs entering the production queue. Additionally, the system allows the creation of many coupled machines, each one associated with a one-level bill of materials, and a set of sensors delivering data to an excel file simulating a cloud. The study will show how to use the data in a learning experience for learners to understand the high amount of data delivered by sensors and the type of information and decisions it allows.This work was developed in the context of project 619325-EPP-1-2020-1-TH-EPPKA2-CBHE-JP, “Reinforcing Non-University Sector at the Tertiary Level in Engineering and Technology to Support Thailand Sustainable Smart Industry” which has been funded with support from the European Commission. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. This work was partially supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope UIDB/00319/2020

Production and quality of pineapple juice with mint powder by foam-mat drying

The objective of this work was to produce pineapple juice with powdered mint, using the foam layer drying process, and to evaluate the quality of the final product. For the formation of the foam, 2% (w/w) of Super Liga Neutra and Emustab were added to the pineapple and mint juice and subjected to agitation in a domestic mixer for 15 minutes; then, it was spread on trays forming a thin layer of 1.0 cm thick whose drying conditions were 60, 70 and 80 ºC. With the experimental data of the drying kinetics of pineapple and mint juice, drying curves were drawn whose models adjusted to the data were: Exponential of two terms, Henderson & Pabis and Page. The final product was evaluated for pH parameters, titratable acidity, water content, total solids, soluble solids, ascorbic acid, solubility, and color (L *, a * and b *). The Page model was the one that best fit the experimental data on the drying of pineapple juice with mint, at all temperatures, as it has a higher coefficient of determination (R²), indicating that this model satisfactorily represents the drying phenomenon of pineapple with mint. It was evidenced that, the increase of the drying temperature, resulted in the reduction of acidity and water content, and at the same time an increase in the content of soluble solids. And, the samples dehydrated at a temperature of 70 ºC showed greater stability in the ascorbic acid content, and less darkening.Objetivou-se, com este trabalho, produção de suco de abacaxi com hortelã em pó, utilizando o processo de secagem em camada de espuma, e avaliar a qualidade do produto final. Para a formação da espuma foi adicionado, ao suco de abacaxi com hortelã, 2% (m/m) de Super Liga Neutra e Emustab, e submetida à agitação em batedeira doméstica, durante 15 minutos; em seguida, esta foi espalhada sobre bandejas formando uma camada fina de 1,0 cm de espessura cujas condições de secagem foram de 60, 70 e 80 ºC. Com os dados experimentais da cinética de secagem do suco de abacaxi com hortelã foram traçadas curvas de secagem cujos modelos ajustados aos dados, foram: Exponencial de dois termos, Henderson & Pabis e Page.  O produto final foi avaliado quanto aos parâmetros de pH, acidez titulável, teor de água, sólidos totais, sólidos solúveis, ácido ascórbico, solubilidade, e cor (L*, a* e b*). O modelo de Page foi o que melhor se ajustou aos dados experimentais da secagem do suco de abacaxi com hortelã, em todas as temperaturas, por apresentar maior coeficiente de determinação (R²), indicando que este modelo representa satisfatoriamente o fenômeno de secagem do suco de abacaxi com hortelã. Foi evidenciado que, o aumento da temperatura de secagem, resultou na redução da acidez e teor de água, e ao mesmo tempo aumento do teor de sólidos solúveis. E, as amostras desidratadas em temperatura 70 ºC apresentaram maior estabilidade no conteúdo de ácido ascórbico, e menor escurecimento.&nbsp

Hemofilia adquirida A e B principais apresentações clínicas da doença de Pott em crianças: Hemofilia adquirida A e B main clinical presentations of Pott disease in children

A hemofilia é uma doença sanguínea caracterizada por distúrbios nos mecanismos de coagulação do sangue, podendo ser de origem hereditária ou adquirida. A hemofilia adquirida ocorre devido à produção de autoanticorpos contra a atividade pró-coagulante dos fatores VIII (Hemofilia A) e IX (Hemofilia B). O objetivo desse trabalho é a realização de um estudo observacional e exploratório sobre os artigos publicados nos últimos 5 anos sobre a hemofilia adquirida A e B, uma vez que é uma enfermidade considerada rara. Dos 68 resultados obtidos na pesquisa, apenas 7 abordaram de forma objetiva sobre o tema, sendo utilizados na confecção do estudo. Segundo a literatura, as manifestações clínicas envolvem sangramento mucocutâneo, urogenital e gastrointestinal, e são mais prevalentes em idosos. Em crianças, o sangramento pode ser menos expressivo, provocando dúvidas quanto ao diagnóstico. O tratamento da hemofilia envolve a reposição dos fatores de coagulação deficientes e o uso de imunossupressores, ainda que nas obras analisadas apenas o tratamento hemostático tenha sido descrito, revelando uma carência de estudos sobre o uso de imunossupressores nos casos de hemofilia adquirida

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Incidência da síndrome pré-menstrual na prática de esportes: aspectos atuais: Incidence of pre-menstrual syndrome in sports: current aspects

A síndrome pré-menstrual (SPM) é uma constelação complexa de alterações de humor, comportamentais e físicas que se limitam à fase pré-menstrual. Esses sintomas se recuperam dentro de alguns dias após o início da menstruação.  Assim, o objetivo desse estudo é demonstrar a incidência da síndrome pré-menstrual na prática de esportes a partir de uma revisão integrativa sobre o tema. Para isso, foi realizado uma revisão integrativa sobre o tema, onde foi considerado textos publicados desde 2010, em inglês e português e que estejam disponíveis para leitura, no PUBMED, LILACs e Scielo. Esta revisão sistemática fornece algum suporte adicional para diretrizes clínicas que recomendam o exercício como um tratamento eficaz para a TPM. As análises secundárias realizadas também fornecem novas evidências de que o exercício pode ser útil no alívio de sintomas psicológicos, físicos e comportamentais específicos associados à TPM, além de auxiliar no gerenciamento do perfil global de sintomas