bluuebunny/crossref_metadata_2025 huggingface dataset:
Avaliação da Usabilidade do Sistema de Informação e Gestão de Projetos (SIGProj) e da Aceitação de uma Proposta na Extensão Universitária
Authors: Pinheiro Edilson , Mourão Érica , Viterbo José , Maciel Cristiano , Trevisan Daniela
Published: May 2023

ABSTRACTContext: Public Higher Education Institutions adopt managerialtechnological innovations to respond to their demands. However,some systems may or may not partially meet the institution’s needs,making system acceptance and university management difficult.Objective: The goal of this work is to evaluate the usability andsatisfaction of an institution’s Information System and Project Management(SIGProj) in the context of the university extension andpropose a new system to maximize system usage. Method: for evaluation,empirical methods were used: (i) System Usability Scale(SUS) and NBR ISO/IEC 9126 quality model for the current SIGProj,and (ii) Technology Acceptance Model (TAM) for the evaluation ofthe proposal system during a workshop with expert users. Results:The results indicate low usability of the current SIGProj, highlightingthe need to prioritize design and usability. Nonetheless, was ahigh perception of acceptance, adoption and intention to use thesystem proposed. Conclusions: We concluded, therefore, that theresult of our work can contribute to a more adequate, innovativeand promising development of a project management system foruniversity extension.
Análise de Padrões em Imagens Faciais do Dataset MIGMA: Busca por Correlações entre Expressões Faciais e Dados Clínicos Médicos
Authors: Ferraz Souza Rodrigo , Khalid Hassan Al-rob Aicha , Rossi Muller Tobias , Cristine Matias Jhennifer , Reis de Sá junior Antonio , Pozzebon Eliane , Carlos Sobieranski Antonio
Published: May 2023

Abstract.
A expressão de emoções por meio de expressõesfaciais é fundamental na comunicação humananão-verbal. A identificação dessas expressões écomum para os seres humanos, mas desenvolver mecanismoscomputacionais para reconhecer efetivamenteexpressões faciais humanas a partir de imagens e vídeosé ainda uma tarefa desafiadora, sujeita a ambiguidades.Para abordar esses desafios, vários datasetsde imagens de expressões faciais humanas foram propostospara treinar modelos de reconhecimento. Esteartigo apresenta uma análise exploratória e estatísticado dataset MIGMA, construído a partir de imagensestáticas de alta resolução de 320 participantes. O datasetconsidera 7 expressões faciais e foi construídoconsiderando a miscigenação e o uso de instrumentospsiquiátricos. O objetivo é investigar as correlaçõesestatísticas entre expressões faciais médias eos instrumentos psiquiátricos. Modelos de reconhecimentode expressão foram implementados, juntamentecom algoritmos de clusterização, para realizar análisesestatísticas. Os resultados indicam a influência dosemoji’s usados nas coletas e identificam as expressõesfaciais mais regulares e ambíguas. Correlações fracasforam observadas entre as expressões faciais médias eos dados dos instrumentos, postulando algumas hipótesesem termos da necessidade de uso de informaçãoem vídeo, ou evidenciando a complexidade natural eintrínseca do problema.
Análise Comparativa de Algoritmos Adaptativos Baseados em Least-Mean-Square para o Controle Ativo de Vibração
Authors: Silfarney Alves Araújo Rafael , Delcio Parreira Wemerson , Coelho Borges Renata
Published: May 2023

ABSTRACTAdaptive algorithms have been applied in noise and vibrationsuppression in several engineering areas. This work investigatesthe practicality of analysis between techniques of active vibrationcontrol for the suppression of movements arising from handtremors. The signals generated by the pathological motion havefrequencies between 3Hz and 6Hz, with the highest concentrationof energy in the gestures. These signals are acquired in thefundamental harmonic and the second harmonic, whereas physiologicaltremors vary between 2Hz and 12Hz. We have used computationaltools in Matlab to simulate these signals. We have usedthe least mean square (LMS) based algorithms, namely Filtered-xLeast Mean Square (Fx-LMS), Filtered-x Normalized Least MeanSquare (Fx-NLMS), and a hybrid Fx-NLMS&LMS. In our results, weidentify a faster response by the Fx-LMS&LMS algorithm in theactive vibration control for physiological tremors. In this example,the algorithm has required 3000 samples for steady-state.
O Emprego de Elementos Locais em Material Didático Lúdico para Ensino de Análise Orientada a Objetos
Authors: Tissuya Silva Toda Daniela , Carolina Salgueiro Serrão Camila
Published: May 2023

ABSTRACTThe teaching project Didactic Comic Book for Object-OrientedAnalysis was born from the local needs observed by the teacherswho teach the disciplines related to the content of Object-OrientedProgramming and Fundamentals of Systems Analysis. The objectivewas to develop a ludic didactic material in the form of an bookcontaining comics and activities to attract the students’ attention.The project was developed in a collaborative way among all participants,following the activities of bibliographical research, scriptcreation and digital design, a playful teaching material with accessiblelanguage and local scenario was created. As a result, thefirst volume of the Didactic Comic Book on Object Orientation wascompleted and made available free of charge to the communitythrough a digital book.
Comparação de Técnicas para Representação Vetorial de Imagens com Redes Neurais para Aplicações de Recuperação de Produtos do Varejo
Authors: Ramos Lima Gustavo , Oliveira Santos Thiago , Marques Ciarelli Patrick , Mutz Filipe
Published: May 2023

ABSTRACTProduct retrieval from images has multiple applications rangingfrom providing information and recommentations for customersin supermarkets to automatic invoice generation in smart stores.However, this task present important challenges such as the largenumber of products, the scarcity of images of items, differencesbetween real and iconic images of the products, and the constantchanges in the portfolio due to the addition or removal of products.Hence, this work investigates ways of generating vector representationsof images using deep neural networks such that theserepresentations can be used for product retrieval even in face ofthese challenges. Experimental analysis evaluated the effect thatnetwork architecture, data augmentation techniques and objectivefunctions used during training have on representation quality. Thebest configuration was achieved by fine-tuning a VGG-16 modelin the task of classifying products using a mix of Randaugmentand Augmix data augmentations and a hierarchical triplet loss as aregularization function. The representations built using this modelled to a top-1 accuracy of 80,38% and top-5 accuracy of 92.62% inthe Grocery Products dataset.
Uma Metodologia para apoiar o Design de Soluções de Software considerando as Experiências de seus Usuários
Authors: De Vasconcelos Patrícia , Bezerra Lucas , Rabelo Jacilane
Published: May 2023

ABSTRACTUser experience is an important factor when building a software.This experience aims to meet the needs of its users, allowing a goodinteraction with the product. Software solutions with good userexperiences can improve the motivation to access the system whenthe user is the centerpiece in the design of the software productto be developed. Therefore, the importance of knowing the userin the process of developing a product or service is necessary becausethere are gaps in this understanding, which may be relatedto lack of knowledge of users expectations, requirements poorlydefined and failures in communication between those involved inthis process. The objective of this research is to propose a methodologyto support software designers to obtain a better knowledgeabout the user, their needs and experiences before modeling themin software functionalities as support in the systems developmentprocess. The methodology developed was applied in the contextof the covid-19 pandemic with the aim of obtaining a better understandingof the needs of the Russas citizens during the socialisolation that took place in 2020. This methodology is based onthe activities of the Design Thinking (DT) process that providesa mechanism for understanding potential customers, producingquick and simple prototypes that converge to innovative solutions.The results of applying the methodology are the characterizationof the users (three personas were specified), the description of theinteraction scenarios (three storyboards) and the specification ofthe main functionalities of a software solution more appropriate forthe needs of the city Russas community in the analyzed pandemicsituation.
Avaliação de Desempenho de Estratégias de Virtualização Alternative Title: Performance Evaluation of Virtualization Strategies
Authors: Silva Haltielles , Peixoto Maycon , Kuehne Bruno , Frinhani Rafael , Filho Dionisio , Batista Bruno
Published: May 2023

RESUMOCloud computing is a computational model in which providers offeron-demand services to clients in a transparent way. In this context,the efficient provisioning of resources is extremely important, sinceit is directly related to Quality of Service (QoS), with the Service LevelAgreement (SLA) compliance and the cost of the service. In thisway, virtualization becomes a crucial factor in resource provisioning.In this paper, performance evaluations were performed consideringenvironments configured with different virtualization strategies: byvirtual machines and by containers. In the first set of experiments,we evaluated the boot time of the system with the KVM, Xen andDocker tools and with variations in the number of instances andvirtual cores. In the second, the same mechanisms were analyzedduring the execution of different benchmarks (Apache and Smallpt)and with variations in the number of virtual resources provisioned.In the results, Docker proved to be more efficient when comparedto other tools.
An investigation of challenges in the machine learning lifecycle and the importance of MLOps: A survey
Authors: Faustino Amorim Bruno , Costa Lincoln , Carlos M. Souza Francisco , Corrêa Souza Alinne
Published: May 2023

ABSTRACTQuite recently, considerable attention has been paid to developingartificial intelligence and data science areas. This has been drivenby scientific advances and the growing number of software andservices that are popularizing machine learning techniques andalgorithms and driving people with less knowledge in areas suchas statistics and mathematics to create their predictive models. Asa result, the machine learning field is no longer only scientificand has aroused the interest of companies from different domains.These events led to the emergence of multiple tools such as Scikit-Learn, Tensorflow, Keras, Pycaret, and a vast number of cloud-basedmachine learning services that provide an acceleration in the developmentof predictive models at speeds never seen. However, manychallenges remain in operationalizing and maintaining machinelearning-centered products, making many business initiatives frustrated.In this scenario, practical experience shows that machinelearning is only a slice of a more extensive set of practices andtechnologies necessary to build solutions in this area. In this paper,the main goal is to identify the challenges currently faced by datascientists in developing Machine Learning-centric products andhow Machine Learning Operations can support overcoming them.For this purpose, a survey was conducted that collected answersfrom 66 Brazilian professionals in data science. From the challengesidentified, the importance of Machine Learning Operations practicesas an integrated part of the Machine Learning lifecycle wasexplored. Finally, this work contributes to filling the gap in MachineLearning Operations in daily activities involving data science andadvancing this research field in Brazil.
Identificação e Medição de Fatores que Influenciam o Custo de Viagens Corporativas
Authors: Marcelo Hemeritas Heusi João , Maria da Rocha Fernandes Anita , Delcio Parreira Wemerson , Luis Scaranto Dazzi Rudimar
Published: May 2023

ABSTRACTGreat gains can be obtained in the efficiency of processes that havea large number of variables that influence their results through theuse of machine learning techniques. This work introduces the useof machine learning techniques to obtain a better understanding ofthe factors that most influence the cost of corporate travel, as wellas the construction of a behavioral suggestion model for decreasingthis value. The optimization of this process can result in directsavings to companies that performed corporate travel. The finalresults of these implementations reached the following accuracy:prediction of air tickets with an ????2 value of 0.8 with a multiplelinear regression model and an ????2 value of 0.74 with an artificialneural network model.
CardIoT - Eletrocardiógrafo Interoperável Baseado em Internet das Coisas
Authors: Lacerda Morás Patrick , Luis del Mestre Martins André , Pires Itturriet Fábio
Published: May 2023

ABSTRACTThis paper presents the development of CardIoT - a portable electrocardiographfor performing ECG exams with up to 12 leads basedon Internet-of-things. CardIoT has a touch-based graphical interfacefor configuration and real-time visualization of ECG signals.This work stands out from related works concerning the connectivitywith any FHIR server, i.e., no dedicated servers are required tosupport CardIoT because CardIoT’s records are compatible with theFHIR standard to enable interoperability. In case of loss of internetconnection, the device has a memory card slot to back up exam data.An experiment simulating a real ECG exam showed the functionalityof an ECG signal acquisition board and embedded firmwaredeveloped for the Microcontroller in the development platform. Asecond experiment proves interoperability as the exclusive featureof this work by showing CardIoT can communicate and send ECGsamples to a third-party FHIR server.
Comparação de Algoritmos de Aprendizado de Máquina para Predição de Pontuação de Crédito
Authors: De Sant’anna Lopes Renato , Resendo Colombi Leandro , Mutz Filipe
Published: May 2023

ABSTRACTAccording to the Central Bank of Brazil, the total value of creditoperations in Brazil reached R$4.2 trillion in May 2021. Financialinstitutions must consider the risk of default associated with eachoperation. Credit analysis, which evaluates this risk, can be performedusing machine learning algorithms. These algorithms comparenew loan proposals to historical data to estimate the default probabilitybased on the proposal and proponent characteristics. Theaccuracy of the model is critical to the profitability of institutions,so choosing the right algorithm is crucial. This study comparesthe performance of machine learning algorithms on three publicdatasets in the task of credit risk estimation. The results show that astack of multiple classifiers achieved the highest accuracy at 81.41%,followed by XGBoost at 80.87% and Regressão Logística at 80.48%.
Análise de desempenho de protocolos para computação em névoa
Authors: Vitor Moreno José , Fernando Pigatto Daniel , Henrique Beltrão Santana Luís , Cristina Barreiras Kochem Vendramin Ana
Published: May 2023

ABSTRACTThe rise in popularity of mobile devices has been made possibledue to advances in processing power and the miniaturization ofmodern processors. Mobile devices are often embedded systemswith limited resources such as battery, processing power, and memory,which impact the user experience. These devices located atthe edge of the network can also generate large amounts of data,which makes it difficult to centralize the data in the cloud. To addressthe scalability issues, fog computing is used to intermediatestorage and communication services between cloud computing andend devices, allowing for decentralized and scalable data. In fogcomputing, a message server may be used to distribute informationthrough one or more communication channels, reducing computationalresources. To transmit messages, it is necessary to choosea communication protocol, and it is important to consider the limitationsof mobile devices when analyzing the behavior of fogcommunication protocols. This paper evaluates the performanceof three fog computing protocols: MQTT, AMQP, and STOMP. Resultsindicate that MQTT achieves the best performance in termsof power and processing consumption, AMQP has lower memoryusage, and STOMP has a shorter round trip time for each message.
Aprendizagem Curricular Aplicada à Programação Genética Cartesiana para Otimização Lógica de Circuitos Digitais
Authors: Sachetti Naiara , Martins Lima Bryan , Berndt Augusto , Meinhardt Cristina , Tyska Carvalho Jonata
Published: May 2023

RESUMOAtualmente, o número elevado de entradas em circuitos digitaistem se tornado um problema cada vez mais comum, demandandonovas soluções para a otimização lógica dos mesmos. Uma técnicaque vem sendo utilizada nos últimos anos é a de Logic Learning, quetem como base o uso de técnicas de Machine Learning (ML) paraa geração de circuitos aproximados a partir de descrições parciaisdas funções lógicas. Uma das técnicas de ML já utilizada em LogicLearning é a Programação Genética Cartesiana (CGP). Apesar defluxos de síntese lógica baseados em CGP já terem se mostradoefetivos, podem ter dificuldades em atingir uma evolucionabilidadesatisfatória dentro de uma restrição de tempo de execução e paracertas funções. Neste contexto, o presente trabalho busca investigara aplicação de uma técnica denominada aprendizagem curricular(Curriculum Learning) para melhorar a evolucionalidade, convergindopara uma melhor acurácia. Para avaliar de forma preliminara solução proposta foi utilizada uma porção dos benchmarks dacompetição de síntese lógica da conferência IWLS de 2020, atravésdos quais observou-se que, quando são priorizados exemplosde treinamento com dificuldade igualitariamente distribuída ouexemplos mais difíceis, a técnica de aprendizado curricular podetrazer benefícios para o processo evolutivo. Entre os resultados quecolaboram para esta hipótese estão ganhos de até 20% na acuráciados circuitos gerados (se considerada uma diferença absoluta) ebenchmarks que só apresentaram ganhos em acurácia. Ainda assim,demais resultados evidenciam a importância de uma avaliação maisdetalhada sobre a abordagem.
MPI Parallel Barnes-Hut variants
Authors: Morante Blanco Rodrigo , Nunan Zola Wagner
Published: May 2023

ABSTRACTThe =-body problem appears in numerous fields, from stellar simulationsto, more recently, AI applications. The Barnes-Hut (BH)method is a tree-based method that allows better scalability whendealing with this problem. In this work several variants of the BHmethod are proposed which use MPI to distribute the workload.
Qualidade de vida através das Tecnologias Assistivas aos portadores de Alzheimer
Authors: De Freitas Adriana , Dos Santos Emmanuelle , Pereira Letícia , Tortelli Sabrina , de Freitas Maurício , Maria Da Rocha Fernandes Anita
Published: May 2023

ABSTRACTAccording to estimates by Alzheimer's Disease International, approximately 1.2 million people in Brazil live with some form of dementia and 100,000 new cases are diagnosed each year. Worldwide, the number reaches 50 million people, and the numbers could reach 74.7 million in 2030 and 131.5 million in 2050 due to an aging population. This scenario shows that the disease characterizes a global health crisis that must be faced. In this context, the article presents the solutions proposed by the academy in recent years according to systematic literature mapping and seeks to encourage scientists and researchers to dedicate efforts to this important topic.
Calibração de trenas utilizando Visão Computacional: caracterização das graduações para medição
Authors: Santana Carvalho Matheus , Grando Moreira Benjamin , Fischer Beckert Sueli
Published: May 2023

ABSTRACTMetrology is responsible for the studies of aspects that involve themeasurements application, being a common area to engineering inthe search for continuous improvement and quality in the processand products. To approximate the machine processing, factory floor,and development of new applications, continuous technologicaldevelopment is demanded from the industrial sector and modernizationof its process. In this scenario, Metrology 4.0 uses technologiesin the traditional process ensuring the data quality, reliability, andsupports decision in real-time. For the innovation of the traditionalmodels of calibration, this paper introduces a software developmentto realize the comparation of measuring tape with a standard, usingComputer Vision, and compares the results of this process with thetraditional calibration methods.
Uma Gincana na Disciplina de Banco de Dados de um Curso Técnico em Informática
Authors: Giacobo Danilo , Moreira de Souza Odair
Published: May 2023

ABSTRACTThe Database discipline has a certain degree of complexity to betaught to high school students of Informatics courses and isapproached, for the most part, through theoretical and practicalclasses, using lectures and activities in laboratories. Schoolcompetitions are a type of strategy that can be used to put intopractice the theoretical knowledge and improve studentengagement and promote competition and healthy learning. Theobjective of this work is to present a gymkhana that is beingdeveloped and executed to promote learning, creativity,socialization and group work in a Technical Course in Informaticsat IFPR - Campus Quedas do Iguaçu.
Um Estudo sobre Tecnologias para o Desenvolvimento de Soluc¸ ˜oes para o Aux´ılio a Idosos e Pessoas com Deficiˆencia e Doenc¸as Crˆonicas
Authors: Henning Pereira Bruna , Albenes Zeferino Cesar A
Published: May 2023

Resumo
Certain diseases or even the advancement of agecan cause problems such as social isolation and a sedentarylifestyle, and technology can aid in increasing the qualityof life for people with difficulties or disabilities from healthor age-correlated problems. The growth in the use of voiceassistants has enabled the development of new applicationsand services based on Internet of Things (IoT) devices. Thiswork evaluates the methods and technologies available forintegrating IoT devices with Amazon Alexa and presents anexperiment integrating a smart sensor with Alexa that allowsthe user to obtain the temperature and humidity of a remoteenvironment through a voice command. This architecture willbe the basis for the development of future applications ofassistive technologies.
Aplicação de Aprendizado de Máquina para Classificação de Produtos no Processo de e-procurement
Authors: Miguel Marin Angelo , Carlos dos Santos Ivan , Dazzi Rudimar , Fernandes Anita
Published: May 2023

ABSTRACTCurrently, the quotation and/or planning systems shoppingfrom most companies, which are classified as e-procurement, itdoes not follow a standardization. Many work with free writingbecause it is very difficult to establish all items and possiblecombinations of these items in one list, to be selected by thebuyer and associated with vendor description. Although thereare codes like CNAE (National Classification of EconomicActivities) and the NCM (Mercosur Common Number), a fewcompanies use them to characterize the products. work is done.manually most of the time, which makes the percentage oferrors large, and the inconsistency between the orders is alsohigh. Therefore, it is necessary to automate the process, tomake the match between the requested products by thecustomer and those offered by the most assertive suppliers.
MPS.Br Game: Proposta de Jogo Educacional
Authors: Renara Silva Andreza , Luiz Sousa Jorge , De Vasconcelos Patrícia , Rabelo Jacilane
Published: May 2023

RESUMOO processo de software é uma das áreas estudadas na Engenhariade Software. O Programa de Melhoria do Processo de SoftwareBrasileiro (MPS.BR) foi criado com objetivo de promover amelhoria da qualidade de software nas organizações. No intuito deaplicar estratégias mais engajadoras no processo de ensino eaprendizagem, a utilização de jogos como mídia para adisseminação do conhecimento tem sido uma abordagem adotadapor professores nos últimos anos. Com isso, o presente trabalhoapresenta uma proposta de jogo denominado “MPS.Br Game”, quevisa auxiliar o aluno a fixar, exercitar e aprender sobre o guia dematuridade de software MPS.BR. O jogo foi desenvolvido eavaliado por um grupo de estudantes da Universidade Federal dCeará (UFC) – Campus Russas, dos cursos de Engenharia deSoftware e Ciência da Computação. Os resultados indicaram que,em geral, os jogadores tiveram um sentimento de que o jogo ensinasobre este conteúdo e que o MPS.BR Game pode ser utilizado paraauxílio na aprendizagem do conteúdo do MPS.BR.
Acolher, Apoiar e Engajar Um relato de ação voltada a alunas da área de TI
Authors: Castilho Ereno Luiza , Carolina de Souza Ana , Sabedra Bordin Andréa , Bolan Frigo Luciana
Published: May 2023

RESUMOEste artigo apresenta uma ação realizada em um projeto deextensão voltado a motivar meninas e mulheres para a áreade tecnologia. Além de motivar a entrada destas meninasnos cursos de tecnologia do ensino superior, o projetotambém atua com o objetivo de acolher e mitigar a evasãodas meninas nos cursos de tecnologias e engenharias. Oobjetivo deste trabalho é apresentar o relato de experiênciade um evento de acolhimento para alunas de cursos detecnologias e engenharias realizado no início do segundosemestre de 2022. No evento foram compartilhadasvivências de professoras e alunas, tanto no ambienteacadêmico como no profissional, assim como foramlevantadas ideias de ações para colaborar com o objetivodo projeto. Foram propostas oficinas de robótica paraalunas do ensino fundamental, palestras com mulheresreferências na área de TI, dentre outras.
O Jogo Sério 'COVID-19 - Você sabia?' Descrição dos acessos ao jogo após 30 meses de implementação
Authors: De Souza Gaspar Juliano , Martins Lage Eura , José  de Oliveira Isaias , Da Silva Fernando , Mineiro Érico , Oliveira Igor , Reis Zilma
Published: May 2023

ABSTRACTIntroduction: From the scenario imposed by the COVID-19pandemic in 2020, it was necessary to have access toinformation as a mode of transmission and prevention of thespread of the new coronavirus, considered critical healthmeasures. Serious games have advantages in disseminatingreliable information during a pandemic, as they can offerqualified content while providing user interactivity and widereach over the internet. Objective: This study aims to presentand analyze the results of using the serious game. Methods:Development was based on Progressive Web App with IonicFramework. Open data reports of how users interact withserious play were taken from the Google Analytics API.Results: The game was made available for free in April2020. The visual identity was developed considering aselection of colors, typography, sounds and images suitablefor the young audience. During 5 semesters of use, therewere more than 32 thousand accesses, the majority (98%)coming from Brazil. Conclusion: The health educationcontent gamification strategy on the topic of COVID-19achieved the proposed objectives.
VolleyScript: Aprendizagem ativa e interdisciplinaridade no desenvolvimento de um jogo digital
Authors: De Almeida Crispim Amanda , Gustavo Henrique Trentini Gustavo , Da Silva Eduardo , Antonio Torrez Rojas Marco
Published: May 2023

ABSTRACTIn technical courses in informatics there is a need todevelop students' basic skills. The project-based approachand gamification make this development possible, it allowsthe development of the solution based on the perspective ofa game designer, natural for digital natives. Aiming toachieve interdisciplinarity between technical andpropaedeutic disciplines, these methodological approacheswere used to develop a digital volleyball game. The gamewas developed using the object-oriented programmingparadigm, for the interactive and creative interface design,the 80's indie style pixel-arts was used. The validation of thegame's functionality was carried out through tests, thesetests were made by volunteer students and adjustmentsaccording to their feedback. Thus, the application of activelearning methodologies contributed to the success of theinterdisciplinary, achieved with the development of thedigital game by the students.
Elas Digitais e o Pensamento computacional ao Alcance da Mão
Authors: Reis Vieira Santos Rauta Caroline , Chagas de Souza Maykon , Reinhold Isabela , Isabel Medina Basi Maria , Vitória Alberto Elisa , Lemos Soares Vitória
Published: May 2023

ABSTRACTGames can be a valuable tool for the teaching and learningprocess. This project aimed to offer workshops on computationalthinking for youngsters between 9 and 16 years-old. Theunplugged approach was adopted in order to include participantswhose institutions do not have access to internet. The one-and-ahalfhour workshops were offered during 4 months – 1 per month– in three public institutions for approximately 40 people. Bothparticipants and educators who work in these institutions haveshown interest in the activities offered and provided positivefeedback.
INGRESSI: uma aplicação intermediadora entre estudantes do ensino fundamental II e ingressantes dos cursos técnicos
Authors: Da Silva de Vargas Gabriel , Vitor Nunes do Amaral João , Lorenzato Braga Matheus , Da Silva Bez Andreia
Published: May 2023

ABSTRACTWhen entering an educational institution, the student lacksknowledge and information about that. Misinformation requires thestudent to have a direct dialogue with students, alumni, and faculty.This paper presents the development of the INGRESSI mobileapplication. The project aims to facilitate the entry of students intoan educational institution through games and activities to completeobjectives. The methodology and the results were strengthenedfrom applied research with 26 students of a technical course incomputer science for the internet. The development was carried outusing JavaScript language, React Native framework and NoSQLMongoDB database. The mobile application is intended forelementary school II students and students entering technicaleducation. As a result, the application presents information aboutthe institution, courses, and news and is expected to expand itsfunctionality.
Clinical safety of bovine intra-ovarian application of allogeneic mesenchymal stem cells
Authors: Antônio Silva Peixer Maurício , Malard Patricia Furtado , Brunel Hilana dos Santos Sena , Viana Joao Henrique Moreira , Alencar-Silva Thuany , Carvalho Juliana Lott de , Pogue Robert
Published: May 2023

A basic premise of reproductive physiology is that females have a finite and non-renewable stock of germinative cells, which results in a decrease in reproductive capacity over time. For female bovines, a further factor associated with this decrease is follicular puncture (ovum pickup - OPU), a technique widely used for production of embryos in vitro. As such, it is necessary to seek therapeutic or preventive options for fertility problems, and one potential option is treatment with mesenchymal stem cells (MSC), which exercise a paracrine effect in combating inflammatory and degenerative processes. However, as important as evaluating the efficacy of such treatments is an evaluation of safety. In this context, the current study was carried out with the application of 2.5 x 106 allogenic MSC derived from adipose tissue, to the ovarian cortex of healthy nelore (n = 5) and girolando (n = 5) cows. The animals were subsequently evaluated by ultrasonography, clinical examination, number of viable oocytes collected, and rate of embryo production. None of the animals presented any clinical alteration or any alteration on ultrasonography after receiving the MSC. Furthermore, comparison between the number of viable oocytes, embryos produced, and rate of embryo production before and after MSC application did not show a difference. Based on these data, it can be concluded that intraovarian application of 2.5 x 106 adipose-derived MSC is safe, and this technique represents a potential for study as a therapy in cases of ovarian degeneration or lesions.
Parametric optimisation of friction stir welding on aluminium alloy (EN AW-1100) plates
Authors: Awan Muhammad Umer Farooq , Khan Mahmood , Waheed Khalid , Iqbal Zafar , Rehman Abdul , Ali Fahad , Shahzad Muhammad , Saim Muhammad Abdul Basit , Akhtar Shahid , Aune Ragnhild Elizabeth
Published: May 2023

Friction stir welding is a solid-state welding process used extensively for aluminium alloys. EN AW-1100 alloy is mostly used for its exceptional corrosion resistance, high ductility, high thermal and electrical conductivities, and cost-effectiveness. This study is focused on the optimisation of friction stir welding parameters to achieve enhanced mechanical properties of 5mm thick EN AW-1100 alloy plates welded with a single pass, using Taguchi L9 orthogonal array and ANOVA analysis. Experimental results revealed that maximum tensile strength of 79 MPa and percentage elongation of 38.87 % were achieved. The maximum Vickers hardness achieved in the stir zone was 34.15. These results were used for optimisation using Minitab and it was determined that 2000 RPM, 30 mm·min−1 traverse speed and square probe profile came out to be the best parameters for maximum tensile strength. 4000 RPM, 30 mm·min−1 traverse speed and square probe geometry were the best parameters for maximum hardness in the stir zone. ANOVA analysis showed that the most significant parameter for tensile strength was traverse speed. None of the considered parameters were influencing the hardness value in the stir zone at a 95 % confidence level.
Exact solutions for time-dependent complex symmetric potential well
Authors: Khantoul Boubakeur , Bounames Abdelhafid
Published: May 2023

Using the pseudo-invariant operator method, we investigate the model of a particle with a time-dependent mass in a complex time-dependent symmetric potential well V (x, t) = if (t) |x|. The problem is exactly solvable and the analytic expressions of the Schrödinger wavefunctions are given in terms of the Airy function. Indeed, with an appropriate choice of the time-dependent metric operators and the unitary transformations, for each region, the two corresponding pseudo-Hermitian invariants transform into a well-known time-independent Hermitian invariant which is the Hamiltonian of a particle confined in a symmetric linear potential well. The eigenfunctions of the last invariant are the Airy functions. Then, the phases obtained are real for both regions and the general solution to the problem is deduced.
Supervision Beliefs in Cooperating Teacher-University Supervisor Dyad: Implications for Reflective Dialogue to Strengthen Partnership
Authors: ÖZDEMİR-YILMAZER Meryem
Published: May 2023

In most teacher education programmes, school-faculty partnerships provide a vital opportunity for student teachers to learn about teaching. This partnership, however, is undermined by the lack of collaboration between cooperating teachers and university supervisors who are paired up in a student teaching triad to help student teachers improve their teaching skills. As it has been reported in the literature that both cooperating teachers and university supervisors act upon their personal beliefs of how to supervise student teachers, one way to resolve this lack of collaboration is to understand their supervision beliefs. Therefore, drawing on the Personal Construct Theory, this case study aims at exploring the personal theories of a supervisor and a cooperating teacher in relation to effective supervision. The data was collected through the repertory grid technique and analysed on a REP Plus computer software program. The analysis was also supported by follow-up interviews. The results revealed shared and idiosyncratic personal theories of the university supervisor and the cooperating teacher and suggest the need for reflective dialogue and joint communication between dyad members over these beliefs to sustain collaborative school-university partnership.
HUBUNGAN ANTARA DUKUNGAN SOSIAL ORANGTUA DAN KEMATANGAN KARIR PADA SISWA KELAS X JURUSAN MULTIMEDIA DI SMK PERDANA SEMARANG
Authors: Qur’ani Nadya Tiara , Sawitri Dian Ratna
Published: May 2023

Penelitian ini dilakukan guna mengetahui korelasi antara dukungan sosial orangtua dan kematangan karir pada siswa kelas X jurusan Multimedia SMK Perdana Semarang. Hipotesis dalam penelitian ini yaitu terdapat hubungan positif yang signifikan antara dukungan sosial orangtua dengan kematangan karir. Populasi dalam penelitian ini adalah 110 siswa kelas X dengan sampel penelitian berjumlah 79 siswa. Teknik dalam pengambilan sampel penelitian menggunakan teknikcluster random sampling. Alat ukur yang digunakan dalam penelitian ini adalah Skala Dukungan Sosial Orangtua (41 aitem valid; α = .955) dan Skala Kematangan Karir (31 aitem valid; α = .934) yang telah diuji cobakan kepada 30 siswa. Analisis korelasi Rank Spearman menunjukkan nilai koefisien sebesar .345 dengan p = .002 (p< .05), yang menunjukkan bahwa terdapat hubungan positif yang signifikan antara dukungan sosial orangtua dan kematangan karir. Artinya, semakin tinggi dukungan sosial orangtua maka semakin tinggi pula kematangan karir, begitu pula sebaliknya semakin rendah dukungan sosial orangtua, maka semakin rendah pula kematangan karir.
KESEJAHTERAAN PSIKOLOGIS DITINJAU DARI PROBLEMFOCUSED COPING PADA KARYAWAN PT. PANTJATUNGGAL KNITTING MILL SEMARANG
Authors: Ayu Helsa Rizki , Mujiasih Endah
Published: May 2023

Terpenuhinya kesejahteraan psikologis membuat karyawan dapat terbebas dari perasaan tertekan karena pekerjaan dan menerima setiap bentuk kebijakan yang berlaku dalam perusahaan tempatnya bekerja. Karyawan akan merasa nyaman dalam menyelesaikan setiap tugas yang menjadi tanggung jawabnya di dalam pekerjaan, sehingga pencapaian target yang diinginkan oleh perusahaan dapat tercapai.Semakin terpenuhinya problem-focused coping akan semakin meningkatkan kesejahteraan psikologis karyawan.Tujuan penelitian ini untuk mengetahui hubungan antara problem-focused coping dengan kesejahteraan psikologis pada karyawan PT. Pantja Tunggal Knitting Mill Semarang.Hipotesis dalam penelitian ini yaitu ada hubungan positif antara problem-focused coping dengan kesejahteraan psikologis pada karyawan.Subjek penelitian ini adalah 78karyawan tetap PT. Pantja Tunggal Knitting Mill yang memiliki masa kerja minimal 1 tahun.Sampel diambil menggunakan teknik proportional random sampling. Pengumpulan data menggunakan dua skala psikologis, yaitu Skala Kesejahteraan Psikologis (39 aitem α = 0,933) dan Skala Problem-Focused Coping (40 aitem α = 0,937). Hasil analisis data dengan menggunakan analisis korelasiPearsonProduct Moment menunjukkan ada hubungan positif antara problem-focused coping dengan kesejahteraan psikologis pada karyawan (rxy = 0,501 p < 0,01).Hal ini menunjukkan semakin tinggi problem-focused coping maka semakin tinggi pula kesejahteraan psikologis pada karyawan, dan sebaliknya. Mengacu pada hasil tersebut, pimpinan disarankan agar meningkatkan kesejahteraan psikologis karyawan, misalnya dengan meningkatkan kemampuan yang dimiliki karyawan dalam penyelesaian pekerjaan.
HUBUNGAN ANTARA LEADER-MEMBER EXCHANGE DENGAN JOB CRAFTING PADA KARYAWAN BIRO ADMINISTRASI UMUM DAN KEUANGAN UNIVERSITAS DIPONEGORO
Authors: Gumai Athiyyah Nanda , Nurtjahjanti Harlina
Published: May 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui hubungan antara leader-member exchange dengan job crafting pada karyawan Biro Administrasi Umum dan Keuangan (BAUK) Undip. Leader-member exchange merupakan sebuah persepsi yang muncul terhadap kualitas interaksi antara atasan dengan bawahan maupun sebaliknya yang terjalin di tempat kerja. Job crafting merupakan suatu perubahan yang dilakukan karyawan di tempat kerjanya baik secara fisik maupun kognitif dengan tujuan untuk memberikan pemaknaan baru bagi karyawan. Tiga dimensi pada job crafting ialah task crafting, relational crafting, dan cognitive crafting. Populasi penelitian ini berjumlah 92 orang karyawan BAUK dengan sampel sebanyak 60 orang dengan menggunakan teknik proportional sampling. Pengambilan data dilakukan menggunakan Skala Leader-Member Exchange (19 aitem: α = 0,753) dan Skala Job Crafting (31 aitem: α = 0,666). Analisis penelitian menggunakan regresi sederhana menghasilkan rxy = 0,557 dan p = 0,000 (p<0,05) yang berarti terdapat hubungan positif antara leader-member exchange dengan job crafting pada karyawan BAUK Undip. Leader-member exchange memberikan sumbangan efektif sebesar 31,1% terhadap job crafting, sedangkan sisa 68,9% dipengaruhi oleh faktor lain yang tidak diungkap dalam penelitian ini.
AKU MAU MELAYANIMU SEJAK MASA REMAJAKU” STUDI FENOMENOLOGIS DESKRIPTIF TENTANG PENGALAMAN REMAJA PENGURUS ORGANISASI REMAJA GEREJA DI GEREJA KRISTEN INDONESIA
Authors: Wiraputri Julietta Engelbertha , Kahija Yohanis Franz La
Published: May 2023

Remaja merupakan masa perubahan dari kanak-kanak menuju dewasa dan dipenuhi berbagai pergolakan, termasuk dalam beragama. Namun, terdapat remaja yang berafiliasi erat dengan komunitas beragama, bahkan bersedia melayani sebagai pengurus organisasi remaja gereja. Penelitian ini bertujuan memahami pengalaman remaja yang menjadi pengurus organisasi remaja gereja. Penelitian dilakukan dengan tiga orang partisipan yang dipilih dengan metode purposive sampling. Data diambil dengan metode wawancara semi-terstruktur dan dianalisis dengan Descriptive Phenomenological Analysis (DPA). Terdapat delapan sintesis tema yang ditemukan, yaitu: (1) Dorongan dan dukungan untuk aktif melayani di organisasi; (2) Perasaan cemas dan ragu ketika melayani; (3) Konflik dengan rekan organisasi; (4) Pelayanan terbaik sebagai wujud syukur; (5) Kesenangan dan kepuasan dalam melayani; (6) Kepedulian pada regenerasi dan kemajuan organisasi; (7) Dorongan memiliki kehidupan rohani yang lebih baik, dan (8) Dampak melayani bagi kehidupan personal. Esensi yang dapat diambil adalah adanya kohesivitas dalam organisasi tersebut, sehingga individu yang tadinya pasif memiliki keinginan untuk aktif di dalamnya. Selain itu, adanya pertumbuhan kerohanian dan personal yang dirasakan oleh individu yang terlibat dalam organisasi remaja gereja. Temuan dari penelitian ini dapat menjadi masukan dalam psikologi agama, khususnya terkait agama dan remaja.
PROFIL ASAM LEMAK PETIS IKAN BANDENG (Chanos chanos Forsk) DENGAN SUHU PEMASAKAN YANG BERBEDA
Authors: Kuncoro Aditya Wafa , Amalia Ulfah , Sumardianto Sumardianto
Published: May 2023

Petis merupakan salah satu produk pemanfaatan limbah hasil perikanan. Pada penelitian ini, petis diolah dari limbah air sisa perebusan bandeng presto. Petis ikan bandeng memiliki kandungan asam lemak tak jenuh yang tinggi, karena sumber nutrisi bahan baku petis ikan berupa ikan bandeng (C. chanos Forsk). Suhu pemasakan dapat mempengaruhi komposisi nutrisi asam lemak. Tujuan dari penelitian ini adalah mengetahui pengaruh perlakuan suhu yang berbeda terhadap profil asam lemak pada petis ikan bandeng (C. chanos Forsk) dan suhu terbaik dalam proses pemasakan. Penelitian dilakukan menggunakan metode rancangan acak lengkap, dengan 1 (satu) factor yaitu perbedaan suhu pemasakan petis ikan bandeng, antara lain: 50°C, 60°C dan 70°C. Parameter pengujian adalah profil asam lemak, kadar air, kadar lemak, viskositas dan organoleptik. Data parametrik diuji sidik ragam dilanjutkan uji beda nyata jujur, sedangkan data non parametrik diuji Kruskal Wallis dilanjutkan uji Mann Whiteney. Penelitian menunjukkan hasil beda nyata dan suhu pemasakan 60°C menghasilkan kwalitas petis lebih baik secara kimiawi maupun organoleptik dibandingkan dengan suhu pemasakan lainnya, dengan hasil: 43,5% kadar air; 3,46% kadar lemak, 3983cp viskositas dan dari segi organoleptik memiliki selang kepercayaan 7,67<µ<8,09. Profil asam lemak menunjukkan bahwa asam lemak jenuh tertinggi adalah asam palmitat (1,306%) dan asam lemak tak jenuh tertinggi adalah asam oleat (1,705%). Perbedaan suhu pemasakan petis ikan berpengaruh nyata (p<5%) terhadap kadar air, kadar lemak dan viskositas. Petis ikan bandeng hasil penelitian ini didominasi asam lemak tak jenuh dibandingkan asam lemak jenuh sehingga baik apabila digunakan sebagai pelengkap dalam sajian makanan.
PENGARUH PERBEDAAN JENIS PELARUT DAN SUHU PEMANASAN SELAMA EKSTRAKSI TERHADAP STABILITAS MIKROKAPSUL FIKOSIANIN DARI Spirulina platensis
Authors: Astuti Wahyu Mega , Dewi Eko Nurcahya , Kurniasih Retno Ayu
Published: May 2023

Pigmen fikosianin merupakan pewarna alami yang diperoleh dari ekstrak mikroalga S. Platensis,  bersifat mudah larut dalam pelarut polar dan tidak stabil terhadap suhu. Penurunan stabilitas pigmen dapat menyebabkan kerusakan warna, sehingga untuk mempertahankan stabilitas dapat dilakukan proses microenkapsulasi. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh pelarut polar (aquades dan buffer fosfat) dan suhu pemanasan terhadap stabilitas mikrokapsul fikosianin. Metode yang digunakan pada penelitian ini adalah metode experimental laboratories dengan menggunakan rancangan percobaan faktorial dengan faktor jenis  pelarut dan suhu. Data dianalisis menggunakan ANOVA dan dilakukan uji lanjut Beda Nyata Jujur (BNJ) untuk mengetahui perbedaan antara sampel. Hasil penelitian menunjukkan bahwa stabilitas mikrokapsul fikosianin yang diamati berdasarkan nilai CR pada penggunaan pelarut aquades suhu 30°C; 47°C; dan 65°C mengalami penurunan dengan nilai CR 92,83%; 73,95%, dan 45,36%, sedangkan nilai CR pada penggunaan pelarut buffer fosfat pH 7,0 secara berturut-turut adalah 97,73%; 88,63%; dan 55,91%. Penurunan stabilitas menggunakan pelarut aquades lebih cepat dibandingkan dengan buffer fosfat pH 7,0, hal tersebut dikarenakan pelarut buffer fosfat memiliki sifat kepolaran lebih tinggi dan bersifat inhibisi. Berdasarkan hasil penelitian tersebut interaksi antara jenis pelarut ekstraksi dengan suhu memberikan pengaruh nyata (P<0,05) terhadap stabilitas mikrokapsul fikosianin.
PENAMBAHAN NANOKALSIUM DARI JENIS TULANG IKAN YANG BERBEDA TERHADAP KARAKTERISTIK BERAS ANALOG DARI TEPUNG UMBI GARUT (Maranta arundinacea) DAN TEPUNG Gracilaria verrucosa
Authors: Rohmah Saela , Darmanto Yudhomenggolo Sastro , Rianingsih Laras
Published: May 2023

Tulang ikan merupakan limbah perikanan dengan jumlah yang mencapai 15% dari berat tubuh ikan. Tulang ikan mengandung unsur penyusun tulang berupa kalsium, dan fosfor. Kalsium hanya dapat terabsorpsi dengan baik apabila diubah dalam bentuk mikro. Tulang ikan sebagai sumber kalsium dapat diubah menjadi nanokalsium agar penyerapan pada tubuh menjadi maksimal. Penambahan nanokalsium dapat dilakukan pada beras analog sebagai salah satu pangan fungsional. Tujuan penelitian ini yaitu untuk mengetahui penambahan nanokalsium dari jenis tulang ikan yang berbeda terhadap kandungan kalsium pada beras analog. Proses pembuatan beras analog dilakukan dengan penambahan nanokalsium dari tulang ikan swanggi, bawal, mujair, kemudian ditambahkan tepung umbi garut dan tepung Gracilaria verrucosa yang dapat menambah kadar serat pada beras analog. Hasil penelitian menunjukkan bahwa beras analog dengan penambahan nanokalsium tulang ikan bawal (5%) mempunyai kadar kalsium tertinggi sebesar 1,68 ± 0.03 %, kadar air terendah, 9,73 ± 0.01%, kadar protein tertinggi 1,64 ± 0.01 %, kadar lemak terendah 0,26 ± 0.03 %, dan kandungan asam amino terbanyak pada asam glutamat dan asam aspartat. Uji hedonik yang diperoleh dengan selang kepercayaan 95% adalah 4.36 < μ < 4.61 sehingga dapat disimpulkan bahwa nasi analog yang dihasilkan disukai panelis dengan karakteristik warna nasi cokelat, bau spesifik, tekstur pulen, dan rasanya hambar.