bluuebunny/crossref_metadata_2025 huggingface dataset:
Hey Google: Does Environmental Beliefs and Perceived Privacy Risk Influence Potential User’s Intention to Use a Smart Home System in Indonesia?
Authors:   Universitas Indonesia, Elian Adrian Adhe
Published: September 2022

Automation technology has grown in a rapid pace recently. One of the technology that is growing rapidly right now is the Internet of Things or IoT. IoT consist of many devices, and one of the IoT device that are popular right now is called the smart home device. This smart home device can be use to make the house of the user be smart and can be use to save energy for efficiency for the daily life of the user, such as electricity and water that kan provide a negative impact on the environment if used extensively. This smart home device can help to make the energy expense much more efficient. Therefore, this study aims to see and examine the relation between pro-environmental behavior (environmental beliefs and concern), the moderating variable of materialism, perceived privacy risk and trust that can influenced the intention to use of smart home device. This study is an empirical study with quantitative research method. The respondent used in this study is live in Jabodetabek, age above 18 years old, tech savvy, and know the concept of smart home technology but does not have the smart home device. The sample use in this study are 294 samples. The data collected was tested using and analyzed using SEM with LISREL 8.5. The result of the research shows that environmental concern, perceived usefulness, and trust has a positive and significant effect towards intention to use smart home device. For the relationship between environmental beliefs and environmental concern, it was also has positif and significant effect. The result also shown that perceived privacy risk has a negatif significant effect towards trust of smart home device. The result of this research are important for the development of smart home market in Indonesia.
Tingkat Cakap Tanggap Peserta Didik dalam Perangkat Google Classroom Selama Pembelajaran Daring
Authors: Choirudin Fachriza Mukhlis , Rahmasari Shalma Noorsitta
Published: September 2022

Penelitian ini didasarkan oleh kondisi pembelajaran daring pada saat pandemi Covid-19. Pembelaja-ran daring di SMP negeri 3 Polokarto dikarenakan pembatasan interaksi yang menyebabkan oran-gorang berkerumun mengharuskan guru dan peserta didik beradaptasi ulang dengan situasi saat pandemi sehingga melakukan proses pembelajaran yang berbeda, dengan menggunakan proses pembelajaran secara daring yang berarti pembelajaran yang memanfaatkan jaringan internet. Media pembelajaran yang digunakan di SMP Negeri 3 Polokarto sebagai penunjang pembelajaran daring yaitu Google Classroom. Berdasarkan pemaparan tekait Tingkat cakap tanggap peserta didik dalam perangkat Google Classroom selama pembelajaran daring. dipeoleh tujuan dari penelitian ini adalah mengetahui tingkat cakap tanggap peseta didik dan faktor yang mempengaruhi kecakapan dan ketanggapan peserta didik dalam proses pembelajaran. Penelitian ini menggunakan 2 jenis data, yaitu data primer dan data sekunder. Data primer adalah data yang bersumber internal yang didapatkan secara langsung melalui pelaksanaan observasi, yaitu berupa wawancara dengan re-sponden, pengamatan secara langsung, dan lain-lain. Sedangkan data sekunder bersumber eksternal yang didapat melalui referensi dari luar, baik artikel, jurnal, dan lainnya. Pentingnya penelitian ini dikarenakan pada kondisi pembelajaran secara daring tingkat cakap tanggap peserta didik dalam pembelajaran menggunakan Google Classroom belum berjalan maksimal.
Efektivitas Peserta Didik dalam Proses Pembelajaran di SMA Negeri 1 Ngemplak Boyolali
Authors: Utami Setyorini Widya , Ningrum Devi Widya
Published: September 2022

Based on the existence of limitations in the teaching and learning proccess and unrealized programs that affect school effectiveness, the purpose of this study is to obtain information about the effective-ness of learning in SMA Negeri 1 Ngemplak, Boyolali. The study uses qualitative research approach with case study method using data analysis models Milles and Huberman. Based on the research findings show that: (1) learning is effective because of the conditioning that is done continuously be-tween the vision and mission of the school in achieving quality education, (2) the existence of readi-ness of teacher in planning learning and teacher’s attitudes and capabilities in provide exemplary the students (3) the success of parents in achieving affective learning the students cannot be separated from their parents upbringing influenced by socio-economic background of the family as well as the intensity of the time spent with the students (4) the awareness of society in school success petrified organize effective learning (5) the shape is done with the cooperation of stackholders to establish communication and involvement in school activities.
Workshop Calistung berbasis Pictures Themes bagi Anak Usia Dini
Authors: Ansari Rajab , Pohan Heni Mulyani , Elisa Elisa , Lubis Mutiara , Sormin Ayunda Sabrina , Mora Jessica Linda , Harahap Hafni Junita
Published: September 2022

“CALISTUNG”refers to the achievement of children on reading, writing, and counting. “CALISTUNG” becomes one indicator for the children on their development in the first grade of elementary school. Commonly, the children on its will have much time in the home with their mother, in which, the mother needs to look the development of them in order they have well achievement on “CALISTUNG”. For this case, the achievement will be a benefit for the children to enrich as well as develop their knowledge for the future. Thus, an appropriate strategy from the mother should be needed to improve the achievement of thei children, whereas, it is one indicator. By having this program, the team tries to describe an appropriate strategy for the mother in developing as well as improving the achievement of “CALISTUNG” based on visual media, in which, it is focused to the mother’s community in University of Muhammadiyah Tapanuli Selatan. This program is taken based on workshop method, it gives the materials about developing and improving achievement of the children on “CALISTUNG” based on visual media. The result shows that there is an effective achievement of the audiences to maximal the using of visual media in improving the achievement of their children on “CALISTUNG”. Hence, they can have the maximal using of an appropriate visual media to manage the development of their children on “CALISTUNG, whereas, they gets the media based on children needs.
Permainan Tradisional dalam Membentuk Karakter Anak Usia Sekolah Dasar di Desa Baratan
Authors: Faradiyah Nurul Rahmawati , Intani Khoirunnisa’ Ismi Nur , Andreas Rino , Mahardika Dzikrina Aqsha
Published: September 2022

Pendidikan karakter merupakan serangkaian upaya yang dilakukan untuk mendidik anak-anak agar dapat berperilaku baik, mengambil keputusan dengan benar, dan ikut serta dalam kontribusi positif di masyarakat. Masalah yang terjadi adalah permainan tradisional yang sudah mulai hilang karena saat ini anak-anak usia sekolah dasar lebih senang bermain permainan modern dan pentingnya menumbuhkan karakter pada anak usia sekolah dasar. Oleh karena itu, diperlukan adanya sosialisasi dan pengarahan terkait permainan tradisional dalam membentuk karakter anak usia sekolah dasar. Tujuan pengabdian ini adalah untuk membentuk karakter anak usia sekolah dasar melalui permainan tradisional. Metode pengabdian yang digunakan yaitu dengan memberikan bimbingan secara langsung melalui komunikasi efektif kepada anak-anak pada saat melakukan permainan. Hasil dari program pengabdian ini adalah program sosialisasi pentingnya permainan tradisional (SPPT), dan gerakan bermain ceria bersama yang dapat menumbuhkan karakter anak usia sekolah dasar dapat terlaksana dengan baik. Anak-anak dapat bermain dengan ceria dan secara tidak langsung dapat menumbuhkan karakter pada anak.
Identification Of Nutritional Content, Taxonomy and Processed Products Of Campolay Fruit (Pouteria Champeciana)
Authors: Dzulhijjah Rahmi , Sarli Mohd , Arafa Shabayek Dina
Published: September 2022

Pouteria champeciana (campolay) is a type of tropical fruit grown in Indonesia. Though the nutritional content of the fruit has the potential as a processed food product. This study analyzed taxonomy, vitamin C, total carotene, total sugar content and minerals (Ca, Mg, K, Na) in campolay fruit and processing campolay fruit flesh into processed food products. This type of research is descriptive research. Campolay fruit obtained from Tarogong Kidul, Garut Regency, West Java. Analysis of vitamin C levels in campolay fruit flesh using the iodometric titration method, total carotene using spectrophotometric methods, testing total sugar content using the Nelson Somogyi method and mineral testing (Ca, Mg, K, Na) on campolay fruit using AAS. The results of the analysis showed that the level of vitamin C in the campolay fruit flesh was 215.685 (mg/100g), total carotene of 31.185 (mg/100g), total sugar content 18.085% and minerals (Ca, Mg, Na, K) on a campolay fruit of 1124.481 (ppm), 358.914 (ppm), 431.996 (ppm) and 8183.999 (ppm). Campolay fruit processing can be used in a variety of food products such as smoothies, cup cakes, cereal flakes, puddings and jelly drinks.
Risk Analysis of Psychologial Disorders of Menstrual Period in Adolescent Children
Authors: Abdul Gani  , Lisdahayati
Published: September 2022

Globalization and the monetary crisis, apart from providing opportunities, also presented big challenges, because they could change the map of health services which could result in the development of service quality and accelerate technology transfer. Most of the female adolescents experience psychological disorders due to the complex attributes of adolescent women due to physiological changes in the body either expected or due to age, one of which is the biggest factor of psychological problems on the arrival of the menstrual period. This research is an exploratory case study with a cross sectional approach on psychological disorders of menstrual periods in teenage girls of SMAN 4 Baturaja. The research subjects are 383 students of grade X, XI and XII students. From the univariate results of menstrual period psychological disorders, mild, namely 223 respondents (58.2%) and heavy 160 respondents (41.8%). Age at first menstruation without risk was 369 respondents (96.3%) and at risk was 14 respondents (3.7%), weight without risk is 276 respondents (72.1%), and at risk is 107 respondents (27.9%). menstrual cycle, regular was 203 respondents (53%) and irregular were 180 respondents (47%). During menstruation, mild pain was 70.2% of respondents and severe pain was 114 respondents (29.8%). Based on the bivariate results of the first menstrual period, the p-value was 0.050, body weight obtained a p-value of 0.004, the menstrual cycle was obtained p-value of 0.002 , the menstrual period obtained a p-value of 0,000. There is a relationship between age at first menstruation, body weight, menstrual cycle and menstrual pain with psychological disorders in teenage students.
Menstrual Cycle Determinants
Authors: Jawiah  , Retno Dwi Lestari  , Ratna Ningsih  , Eva Susanti  , Rehana
Published: September 2022

Adolescence is a transition from childhood to adulthood accompanied by biological, psychological, and sociological changes. One of the biological changes in adolescent girls is menstruation. Menstruation is a sign of femininity for women, but menstruation often experiences disorders, one of which is menstrual cycle disorders that are influenced by several factors. This study aims to look at the determinants associated with the menstrual cycle. Factors to be investigated are stress, Body Mass Index (BMI), and physical activity. This research was conducted at Madrasah Aliyah Ar-Rahman Palembang with a cross-sectional approach. The sampling technique used in this study is total sampling with 102 respondents, conducted in March 2020. The statistical test of this study uses Chi-square and multiple logistic regression. Bivariate analysis results show that there is a relationship between stress (p-value 0.000, OR = 7.879, BMI (p-value 0.008, OR = 3.321), and physical activity (p-value 0.006, OR = 3.525) with menstrual cycle. Results of multivariate analysis of stress variables (p-value 0.000, Exp (B) = 6.960) and physical activity (p-value 0.033, Exp (B) = 2.805) with the menstrual cycle so that the determinant of this research factor is stress.
A set of customizable features for adaptable games
Authors: Carvalho Caio , Teran Luciano , Mota Marcelle
Published: September 2022

The popularization of digital games reaches a wide diversity of audiences and styles, but often do not take into account the accessibility context, which excludes a portion of the population, such as children with disabilities. There are studies presenting games with customized interaction options; however, generally thought for specific disabilities. The purpose of this research is to investigate customizing characteristics in games, allowing a specialized professional to tailor the game to a specific patient during their session. For this, we conducted a review of the literature on adaptable games and an empirical study where we investigated three games that were developed and tested with healthcare professionals specialized in the care of children with disabilities. The results generated a set of customizable features for adaptable games.
A meta-scientific broad panorama of ethical aspects in the Brazilian IHC
Authors: Carvalho Luiz Paulo , Suzano José Antonio , Santoro Flávia Maria , Oliveira Jonice
Published: September 2022

Ethics is a field of study that analyses practices, their principles, customs, and habits. The Grand Research Challenges in Human-Computer Interaction in Brazil (GranDIHC-BR) between 2012 and 2022 highlighted the relevance of the topic Ethics in the context of Human Values. Aligned with that, we claim that computational techniques are not neutral and, therefore, ethical analysis is essential to the design of applications as well as theoretical or conceptual research. The goal of this work is to provide an understanding on how researchers have addressed the ethical aspects by analyzing the publications of the IHC-BR: the Brazilian Symposium on Human Factors in Computing Systems, the leading conference dedicated to HCI in Brazil. Thus, we conducted a Systematic Literature Review guided by the main research question: how does ethics permeate research published between 2006 and 2021? As a result, although less than 5% of the papers discussed ethical content, we observed a significant growth in ethical aspects over the years, both associated with the meta-research and its application.
Privacidade Diferencial em Sistemas Polystore: uma Abordagem Prática
Authors: Bertelli Lucas , Ströele Victor , Machado Javam , de Oliveira Daniel
Published: September 2022

Diversas técnicas são capazes de garantir a privacidade de dados, em especial em Sistemas de Gerência de Banco de Dados (SGBDs). Entretanto, nos dias atuais muitas organizações armazenam os dados em seu formato bruto em data lakes. Como os dados podem ser encontrados em múltiplos formatos, os sistemas Polystore são utilizados para conseguir consultá-los de forma integrada. Porém, os mesmos não consideram questões de privacidade, delegando essa responsabilidade para os SGBDs subjacentes. Nesse artigo, propomos uma abordagem chamada DIMPLY para integrar mecanismos de privacidade em sistemas Polystore. Os usuários do DIMPLY submetem consultas na sintaxe do sistema Polystore e recebem os resultados anonimizados. Como técnica de privacidade, escolhemos a privacidade diferencial. Para avaliar o DIMPLY, utilizamos um dataset de exames de casos suspeitos de Zika no Brasil.
Handling Multi-chapter Inconsistencies in DBpedia Evolution
Authors: dos Reis Julio Cesar , Martins Tulio Brandão Soares
Published: September 2022

DBpedia is a huge resource available in the Web of Data. It is relevant to update this dataset based on new information appearing in Wikipedia. However, this operation can provide inconsistencies in the dataset for chapters in different languages. Although existing literature has defined tools to update DBpedia, there is a lack of studies related to understanding and detecting multichapter inconsistencies in its evolution. In this paper, we define a set of inconsistency classes related to triple changes in DBpedia to inform a software tool suited to detect instances of these classes when new data is updated for all languages, removed or inserted in the dataset. We demonstrate types of inconsistencies appearing in the evolution of DBpedia and propose a solution to correct these inconsistencies. Our evaluation assessing the proposed technique reveals its usefulness. Our results show that the proposed classes of inconsistencies combined with the defined solution can make DBpedia more reliable.
Outlier detection with ontology-driven fault contextualization in the Industry 4.0
Authors: Miodutzki Dionei , Tacla Cesar , Gomes-Jr Luiz
Published: September 2022

In the industrial sector, outlier detection makes it possible to quickly identify equipment failures. The evolution of Industry 4.0 is bringing challenges previously uncommon in the area. The large number of data constantly generated represents a processing challenge and can lead to the identification of a large number of outliers simultaneously. This scenario slows the troubleshooting process, delaying the identification of the source of the fault. This work presents a solution to support decision-making in a widespread failure scenario. Dependencies are represented using ontologies, to provide a clear and user-facilitated interpretation. An inference engine is used to identify the most probable causes of the failure. Performance tests demonstrate its scalability.
Modelagem de Tópicos em Textos Curtos: uma Avaliação Experimental
Authors: Amorim Annie , Murrugarra-Llerena Nils , Silva Vítor , de Oliveira Daniel , Paes Aline
Published: September 2022

As redes sociais são utilizadas para expressar opiniões ou interagir com outras pessoas. Diante do amplo escopo de assuntos publicados e a linguagem informal presente nas postagens, a busca de informações é significativamente desafiadora. Assim, descobrir automaticamente os tópicos tratados nos textos ruidosos e com pouco contexto postados é primordial. Dado este cenário, este artigo contribui com uma análise comparativa de métodos de modelagem de tópicos, incluindo os baseados em abordagens probabilísticas e neurais. Ademais, esse artigo contribui com um método para rotular automaticamente os tópicos, permitindo uma análise qualitativa dos tópicos descobertos.
HURRICANE: um Serviço para Gerência de Dados de Aplicações de Cidades Inteligentes
Authors: Banni Maicon , Rosseti Isabel , de Oliveira Daniel
Published: September 2022

O conceito de Cidades Inteligentes ganhou relevância, em especial na última década, por conta da proliferação de dados de cidades. O objetivo do uso desses dados é melhorar os serviços oferecidos à população, por meio do desenvolvimento de aplicações que consomem dados espaço-temporais. Esses dados trafegam por um fluxo que vai desde a coleta, pré-processamento até a visualização. Muitas das soluções existentes para Gerência de Dados neste contexto, ou são específicas para uma aplicação/domínio, ou não consideram todo o ciclo de vida do dado. Nesse artigo, apresentamos o Hurricane, um serviço configurável e extensível, avaliado com uma aplicação na área de segurança pública, que tem como objetivo permitir que os diferentes usuários envolvidos realizem a gerência e a análise dos dados no contexto de aplicações de Cidades Inteligentes de forma integrada e eficiente durante todo o ciclo de vida do dado.
Towards Robust Cluster-Based Hyperparameter Optimization
Authors: Izaú Leonardo , Fortes Mariana , Ribeiro Vitor , Marques Celso , Oliveira Carla , Bezerra Eduardo , Porto Fabio , Salles Rebecca , Ogasawara Eduardo
Published: September 2022

Hyperparameter optimization is a fundamental step in machine learning pipelines since it can influence the predictive performance of the resulting models. However, the setup generally selected by classical hyperparameter optimization based on minimizing an objective function may not be robust to overfitting. This work proposes CHyper, a novel clustering-based approach to hyperparameter selection. CHyper derives a candidate cluster of close or similar hyperparameters with low prediction errors in the validation dataset. Hyperparameters chosen are likely to produce models that generalize the inherent behavior of the data. CHyper was evaluated with two different clustering techniques, namely k-means and spectral clustering, in the context of time series prediction of annual fertilizer consumption. Complementary to minimizing an objective function, cluster-based hyperparameter selection achieved robustness to negative overfitting effects and contributed to lowering a generalization error.
Machine Learning Aplicado à Predição da Obrigação do Investimento em P,D&I
Authors: Bravo Flávia , Sousa Luciana , Escovedo Tatiana , Lopes Helio , Kalinowski Marcos
Published: September 2022

Os investimentos em Pesquisa, Desenvolvimento e Inovação (P,D&I) do setor de petróleo e gás do Brasil são substanciais devido à obrigatoriedade estabelecida pela Agência Nacional de Petróleo, Gás Natural e Biocombustíveis (ANP). Identificar a expectativa de financiamento de forma ágil e simples possibilita um melhor planejamento, aumentando a eficácia dos gastos. Este artigo propõe a elaboração de um modelo de machine learning para estimar o potencial de investimentos obrigatórios que as empresas do setor de óleo e gás devem realizar em P,D&I, permitindo um melhor planejamento da aplicação de recursos financeiros para universidades e institutos de ciência e tecnologia.
Mineração de Processos Aplicada à Auditoria Interna na Marinha do Brasil
Authors: Castro Marcos Alexandre , Souza Jr Nelson , Escovedo Tatiana , Lopes Helio , Kalinowski Marcos
Published: September 2022

Com o crescente interesse da sociedade na aplicação dos recursos públicos, a atividade de auditoria interna governamental ganha importância. Entretanto, devido ao crescimento da integração e da complexidade dos sistemas de informação, que processam grandes quantidade de dados, os auditores enfrentam novos desafios ao analisar controles internos. Este artigo aplica a técnica de mineração de processos para identificar gargalos e violações de controles em processos internos, gerando um novo tipo de evidência de auditoria. A metodologia proposta foi aplicada com sucesso nos processos da Marinha do Brasil, fornecendo meios para identificar desvios e possíveis reduções de interações e iterações realizadas pelos agentes.
Aplicação de técnicas de mineração em dados sintéticos para manutenção preditiva: um estudo de caso
Authors: Schena Rafael , Netto João Cesar , Becker Karin
Published: September 2022

Este artigo apresenta um caso de aplicação de técnicas de mineração de dados em dados sintéticos para manutenção preditiva de um sistema de propulsão naval, com o objetivo de analisar sua aplicabilidade e adequação na construção de modelos preditivos para manutenção. Na primeira etapa, aplicamos técnicas de mineração de dados no dataset original, e levantamos hipóteses sobre os resultados obtidos com dados sintéticos. Na segunda e terceira etapas, respectivamente, testamos as hipóteses levantadas na etapa inicial através da inserção de desbalanceamento de classes e incertezas de medição. Os resultados mostram formas de se enriquecer conjuntos de dados sintéticos para construção de modelos mais parecidos com cenários industriais reais.
DIKW4IoT: Uma abordagem baseada na hierarquia DIKW para a construção de grafos de conhecimento para integração de dados de IoT
Authors: da Costa Francisca Jamires , Avila Caio Viktor S. , Rolim Tulio Vidal , Andrade Rossana Maria de Castro , Vidal Vânia Maria Ponte
Published: September 2022

A integração de dados de sensores em um grafo de conhecimento possibilita que uma base de conhecimento com informações explı́citas e implı́citas seja criada, de maneira que os dados se apresentem de forma estruturada e vinculada. Entretanto, os grafos de conhecimento atualmente são construı́dos sem levar em consideração os diferentes nı́veis de dados e suas relações. Segundo a hierarquia DIKW os dados podem ser classificados como dado, informação, conhecimento e sabedoria durante o seu ciclo de vida. Este trabalho tem como objetivo estabelecer as relações entre os diferentes nı́veis de dados IoT segundo a hierarquia DIKW e demonstrar como estes nı́veis podem estar presentes em um grafo de conhecimento. Para isso propõe-se uma abordagem para criação de um grafo de conhecimento de dados IoT com representação dos dados baseado na hierarquia DIKW.
Identificando Websites de Desinformação no Brasil
Authors: Araújo Leandro , Nery Luiz Felipe , Rodrigues Isadora C. , Couto João M. M. , Reis Julio C. S. , C. Silva Ana P. , Almeida Jussara M. , Benevenuto Fabrício
Published: September 2022

Neste trabalho propomos uma metodologia para identificação de websites responsáveis pela produção e disseminação de desinformação em plataformas digitais no contexto brasileiro. Aplicamos nossa abordagem no Twitter e os resultados preliminares apresentam evidências do potencial da metodologia proposta para identificação de websites de desinformação que podem ser úteis para entendimento do fenômeno, bem como para atuação do poder público para contenção do problema em diversos contextos.
TRUMiner: Mineração de Regras Temporais em Bases de Séries Multivariadas e Heterogêneas
Authors: Karasawa Eliane , Sousa Elaine P. M.
Published: September 2022

Este trabalho apresenta o algoritmo TRUMiner (Temporal RUles Miner) para mineração de regras temporais em séries multivariadas. A abordagem proposta permite o tratamento de séries temporais heterogêneas, com suporte a dados faltantes e séries com números de observações diferentes entre variáveis. Além disso, o TRUMiner retorna regras temporais detalhadas, que possibilitam referenciar as respectivas ocorrências nas séries originais. A avaliação experimental do algoritmo foi realizada em séries temporais multivariadas do comércio internacional provenientes de várias fontes. Os resultados iniciais mostram a aplicabilidade do TRUMiner a bases de séries heterogêneas, simplificando a tarefa de integração e pré-processamento dos dados.
Junções por Similaridade usando Processamento Distribuído e Paralelismo Massivo
Authors: Silva Larissa Ramos Marques , Ribeiro Leonardo Andrade
Published: September 2022

Junção por similaridade retorna todos os pares de objetos similares em um conjunto de dados. Como essa operação é custosa computacionalmente, o tempo de execução pode ser excessivo em grandes volumes de dados. Este artigo apresenta um algoritmo de junção por similaridade eficiente e escalável que explora o parelismo massivo de GPUs em um ambiente distribuído heterogêneo. Neste contexto, um modelo de coprocessamento é proposto para distribuir a carga de trabalho entre CPU e GPU. Resultados experimentais demonstram que a proposta é efetiva e supera trabalhos anteriores.
Legacy-DB: Uma ferramenta para validação da migração de dados em bancos de dados heterogêneos
Authors: Duarte Marlon , Moraes Gustavo , Venceslau Amanda D. P. , Franco Wellington , Rego Paulo A. L. , Honório Paulo
Published: September 2022

Este artigo apresenta a ferramenta Legacy-DB para apoiar a validação da migração de dados em banco de dados heterogêneos. O Legacy-DB fornece estratégias de validação pós migração através de uma interface gráfica e interativa, que projeta atributos do banco legado e migrado, fornecendo um mecanismo de mapeamento que possibilita a adoção de estratégias para mitigar inconsistências entre os dados. O Legacy-DB possibilita que o usuário verifique e valide a migração utilizando seus atributos e mapeamento entre eles, permitindo conclusões sobre uma percepção visual das inconformidades ocorridas durante o processo de migração. Desta forma, a ferramenta facilita o reconhecimento de inconsistências e alterações necessárias para uma migração bem sucedida.
@Minerva_web: Análise de Colaboração em Processos de Negócio por meio de Dados de Proveniência Multimodais
Authors: Esposito Ana Luisa , Ferreira Lucas Rogério Silva , Falci Maria Luiza , de Oliveira Daniel
Published: September 2022

Neste artigo apresentamos o @Minerva_web, um sistema web que permite a análise de grafos de colaboração em processos de negócio gerados a partir da extração de dados de proveniência multimodais. A colaboração entre participantes dos processos pode ser vista como um grafo de proveniência, uma vez que agentes (i.e., pessoas) executam tarefas (i.e., atividades) sobre documentos (i.e, entidades). Entretanto, a colaboração nas organizações acontece de diversas formas, e.g., e-mails e vídeo chamadas. Extrair dados de proveniência a partir dessa miríade de tipos de dados (em especial não estruturados) é um desafio. O @Minerva_web é capaz de identificar entidades nomeadas (e.g., pessoas, processos, etc.) em dados não estruturados automaticamente e representar os dados extraídos como um grafo de proveniência, que pode ser visualizado e consultado pelo usuário. A base de dados segue a recomendação W3C PROV, favorecendo a comparação e explicação do processo de negócio. O @Minerva_web é uma solução de código aberto e pode ser obtida em https://github.com/luisaesposito/minerva-backend.
Exposer: Framework para Detecção de Anomalias em Licitações Públicas
Authors: Silva Ednael F. V. da , Fragoso Gabriel A. M. , Rodrigues Liviany R. , Freitas Nicksson Ckayo Arrais de , Vinuto Tiago Da Silva
Published: September 2022

Os gastos públicos devem ser constantemente monitorados pelos órgãos governamentais para minimizar os prejuízos acerca dos desvios de dinheiro em licitações. Na literatura, para nossa consciência, existe uma lacuna quanto a ferramentas livres que possam detectar anomalias de legalidade nos valores de licitações públicas. Diante deste cenário, criamos o Exposer, ferramenta que possibilita detectar anomalias e irregularidades em processos licitatórios, que tem perspectiva de uso por oficiais e autoridades e servir como um sistema de apoio à decisão. Neste sentido, conduzimos experimentos com dados públicos do Portal da Transparência do Governo Federal e o Exposer revelou indícios de licitações irregulares que somam bilhões de reais.
Uma Extensão da Ferramenta brModeloWeb para o Suporte à Definição de Visões e Restrições de Integridade
Authors: Mota Arthur Nascimento , S. Neto Milton Bittencourt , Mello Ronaldo dos Santos
Published: September 2022

Desenvolvida em 2016, a ferramenta brModeloWeb auxilia no processo de projeto de banco de dados (BD) relacional, com ênfase no ensino e aprendizado de técnicas de modelagem de BD baseado no modelo entidade-relacionamento, assim como a versão desktop da brModelo, que tem sido utilizada durante anos em disciplinas da área de BD para atividades práticas de modelagem de dados e hoje conta com milhares de usuários. A principal motivação deste trabalho é dar continuidade e evoluir essa ferramenta por meio da incorporação de um módulo que permite a criação de views e constraints, visando expandir as possíveis aplicações práticas dos conceitos e teorias de BD. Atualmente, nenhuma ferramenta gráfica gratuita para projeto de BD relacional suporta a definição interativa de visões e restrições de integridade, sendo assim, esta extensão contribui grandemente para a comunidade.
Provenance, Blockchain, and Smart Contracts as a Traceable Soil Mapping Solution
Authors: Marinho Élton Carneiro , Schmitz Eber Assis , Cruz Sérgio Manuel Serra da
Published: September 2022

Blockchain technology combined with Data provenance is one way to make soil data more trustworthy and traceable by providing tamper-proof information about the origin, transformations, and history of pieces of data. We present Hyperledger Fabric of FAIRCHAIN, a computational infrastructure that manages smart contracts that uses soil data. We aim to mitigate the open challenges of the agricultural food supply chain, specifically in the difficulty of traceability of soil data. In this work, we present the mechanism to structure a smart contract using soil data enriched with retrospective provenance metadata. The infrastructure can hold workflow implementations.
On Generating Representative Data for Multiple Aspects Trajectory Data
Authors: Machado Vanessa Lago , Mello Ronaldo dos Santos , Bogorny Vânia
Published: September 2022

Trajectory data mining and analysis tasks have been widely studied in recent years. These tasks are complex due to the large volume of data generated and its heterogeneity. A solution to minimize these problems is the summarization of these data, aiming to generate representative data. Few works in the literature address these solutions, and none were found that consider all dimensions of a trajectory (spatial, temporal and unlimited semantic aspects), analyzing the peculiarities and singularities of each aspect. This doctoral thesis proposes a method based on a spatial grid for summarizing multi-aspect trajectories, called MAT-SG. Its main contributions are: (i) segmentation of trajectories in a spatial grid according to the dispersion of points; (ii) from a set of input trajectories, a representative trajectory is generated as a sequence of representative points with representative values ​​for each dimension, considering the particularities of each type of aspect. An example demonstrates the potential of the proposal, being evaluated the volume reduction and the accuracy of the summarization.
A modular approach to Hybrid Blockchain-based and Relational Database Architectures
Authors: Sá Rafael Avilar , Moreira Leonardo Oliveira , Machado Javam de Castro
Published: September 2022

In this new cloud-powered web landscape, applications may find it beneficial to focus on both efficient data storage and proper security enforcement. Blockchains provides immutable and irrefutable data, but can be quite slow, while relational databases show great efficiency. MOON is a tool designed to act as a bridge between application and databases to create a hybrid approach to database management. It enables the use of both a Relational Database and a Blockchain-based database. This paper analyzes and proposes improvements to MOON's architecture to increase compatibility, maintainability, and help advance research into the area of convergence between blockchain and traditional databases.
Radikaler Lingualismus
Authors: Weber Stefan
Published: September 2022

Eine weit verbreitete Auffassung lautet: »Das Universum würde es auch dann geben, wenn sich sprachfähige Lebewesen wie der Mensch nicht entwickelt hätten.« In der vorliegenden Studie zeigt Stefan Weber, dass diese Annahme des Realismus inkonsistent ist. Gilt hingegen das biblische »Im Anfang war das Wort«? Nein, allenfalls war am Anfang die Einheit von Wort und Ding, hier also Ding. Noch genauer: Am Anfang war »am Anfang«.

Die Philosophie eines »Radikalen Lingualismus« in Fortsetzung von Josef Mitterers Nicht-dualisierender Redeweise markiert eine Abkehr von der traditionellen bipolaren Wortsemantik und eine Radikalisierung selbst der Spätphilosophie Wittgensteins.
»Was hätte Josef Mitterer mit seinem atemberaubenden Traktat wider das dualistische Erkenntnisprinzip nicht der Philosophie an Problemen erspart! Ein Buch dazu kommt also immer zur richtigen Zeit.«
Christoph von Wolzogen
Typical Changes in Carbon and Nitrogen Stable Isotope Ratios and Mercury Concentration during the Lactation of Marine Mammals
Authors: Endo Tetsuya , Kobayashi Mari
Published: September 2022

The increase and decrease in the δ15N values of offspring owing to the suckling of δ15N-enriched milk (nursing) and the feeding shift from milk to solid food (weaning), respectively, are thought to be common traits observed in mammals. However, there are a few studies on lactation in marine mammals, especially large whales, because samples of calf, lactating mother, and milk are difficult to obtain. In this chapter, we review the studies on reproduction of marine mammals using δ13C and δ15N values analyzed in several tissues and describe the typical changes reported to date in those values and Hg concentrations in offspring and milk during lactation. Next, we present data on ontogenetic changes in δ15N and δ13C profiles and Hg concentration, especially focusing on the lactation period, in muscle samples of hunted bowhead whale, and stranded common minke whale (mysticetes), Dall’s porpoise (odontocete), and the harbor seal (phocid). Finally, we compare the δ15N and δ13C values in muscle samples of calves from common mink whale, Dall’s porpoise, and killer whale and suggest that these values could be excellent proxies for maternal forging habits and trophic levels.
Temporomandibular Joint Pain
Authors: Kirupa Kadarkarai , Rajashri R. , Raman Kamali , Balaji Aishwarya , Elango Pavithra , Karupaiah Swetha , Gopalakrishnan Leelavathy
Published: September 2022

Temporomandibular joint (TMJ) is a synovial articulation between mandibular condyle and glenoid fossa in the temporal bone. Any structural and/or functional changes can affect the TMJ and related structures. Temporomandibular disorder (TMD) is a heterogeneous group of musculoskeletal disorders mainly characterised by regional pain in the facial and preauricular area and/or limitations/interference of jaw movement. TMD has multifactorial aetiology, which includes biology, and environmental social, emotional, and cognitive factors. TMD is more common orofacial pain condition and nondental origin. Factors associated with TMD include other pain condition, auto-immune disorder and psychiatric illness. The clinical conditions may present with limitation in opening and closing mouth, pain and articular noise. So this chapter mainly deals with the classification of TMJ disorder, diagnosis and management particularly TENS and ultrasound therapy for TMJ disorder.
The Role of Leadership in Sub-Saharan Africa in Promoting Maternal and Child Health
Authors: Tsala Dimbuene Zacharie , Haregu Tilahun , Muanza Nzuzi Raphaël , Nzita Kikhela Paul-Denis
Published: September 2022

Sub-Saharan Africa (SSA) continues to face adverse maternal and child health (MCH) outcomes compared to other regions of the world. Previous research showed that SSA countries did not reach Millennium Development Goals (MDG)-4 and MDG-5. To further our understanding of levels and correlates of MCH outcomes, numerous studies have focused on socioeconomic factors, both at individual, household, and community levels. This chapter adopted a different approach and emphasized the role of leadership at regional, national, and local levels to improve MCH outcomes in SSA countries. Overall, the chapter demonstrated that without an enlightened leadership, SSA countries will be lagging behind SDG-3 targets. Additionally, evidence to guide policymaking in most countries is lacking mainly due to lack of sound data to specifically meet the needs of policymakers. There is an urgent need to focus on Research and Development (R&D) and Innovation. To achieve this goal, a crucial shift in leadership is compulsory.
Perspective Chapter: Problems of Improving the Quality Management System of a University in the Era of Big Data (Experience of Professional Training of Railway Engineers)
Authors: Maslova Zhanna , Khitarova Ilona
Published: September 2022

The application of the analytical approach to quality management in higher education bodies is particularly relevant. The problems of formation, implementation, and practical use of quality management system in higher education have not yet been sufficiently reflected in the studies of foreign and domestic specialists, although there are a large number of publications on the formation and implementation of quality management systems in industrial production conditions. The publication intends to consider the main triad of education quality components: conditions, process, and result of educational activity. The quality of education is presented as a system functionally related to all parameters and a measurable characteristic of the functioning of an educational organization. The quality of such functioning is represented as a degree of implementation of the main goal, which consists of achieving a given (normative) level of students’ preparedness and providing the basis for sustainable development. As an illustration to the theoretical provisions, the experience of implementation and certification of quality management system in the leading technical university of Russia is considered, recommendations on the development of strategic and operational management documents in the implementation and practical use of quality management system in the university are given.
Perspective Chapter: Utility of Injury Immunity Axis in Disease Phenotyping
Authors: Kumthekar Girish , Chakravarthi Rajasekara
Published: September 2022

Organ injury is mediated by dysregulated inflammatory response of the host to invading organism or antigen. Dysregulated immune response can be more than or less than what is required to contain the organism or antigen. All disease states converge on inflammatory damage to tissue irrespective of what triggers the initial insult such as a transplanted organ, microbe, autoimmunity, and even a malignancy. Injury immunity axis can be used to phenotype a disease state to explaining its etiology, treatment options and possible disease trajectory. It will address the core issue of inflammation at cellular level guiding clinicians to tailor the treatment on case to case basis. This chapter brings immunity to center-stage in diagnosis and management of diseases due to various causes. This can be accomplished by phenotyping diseases across injury immunity axis to ascertain the status of immune system forefront. It is indeed a novel concept by which we look at different manifestations of a disease through a unique perspective. It is also an attempt to acknowledge the fact that immune system work-up and immune biomarkers need better representation in the list of investigations. The importance of immunological basis of diseases needs significant amount of research and robust data to translate this knowledge into the standard of care.
Polymeric Nanoparticles in Drilling Fluid Technology
Authors: Uwaezuoke Nnaemeka
Published: September 2022

New technologies are often sought to mitigate the problems associated with traditional drilling fluid formulations. Nanotechnology provides an alternative. A particle size of matter in the range of 1–100 nm in diameter (d.nm) is referred to as nanoparticle. Nanoparticles are broadly divided into various categories depending on their morphology, size and chemical properties. This size range lends their application in science and engineering. In rotary drilling operations where drilling fluid is at the center, performance and optimization issues have been observed. Use of polymer nanoparticles in mud formulations have been considered due to desirable properties such as wide specific surface area, high temperature stability and pollution resistance. Areas of application and advantages include improvement in mud rheology, fluid loss properties, improved lubricity, filter against hazard materials and cost effectiveness. Biodegradable polymeric nanoparticles possess the outlined properties and would continue to offer wider applications in drilling fluid technology now and in the nearest future due to their stable, film forming and gelatinization characteristics. To reliably estimate the quantity of polymeric nanoparticles to use, size and shape should be considered before concentration to apply to make prediction easier. Dispersion of different shapes, sizes and structures of polymeric nanoparticles might be a consideration to enhance polymer influence on fluid formulations.
Evaluation and Characterization of Human Bone Marrow Mesenchymal Stromal Cells Cryopreserved in Animal Component-Free, Chemically Defined, Serum-Free Conditions
Authors: Kannan Suresh , Bhagwat Swaroop , Kumar Gupta Pawan , Kolkundkar Udaykumar
Published: September 2022

Mesenchymal stromal cells (MSCs) have the potential to treat various disease indications and are the future of cell therapy-based regenerative medicine. Typically, MSCs cryopreserved in serum-containing freezing formulation are supplied at the clinical site, which necessities that this formulation is removed before the administration. This is a cumbersome process, and there is an immediate need for identifying serum-free, xeno-free cryopreservation medium that can be readily used. Here, we analysed two commercially available serum-free, xeno-free, defined freezing media viz., CryoStor 5 (CS5) and CryoStor 10 (CS10) on their effect on human bone marrow MSCs at different freezing cell densities (5, 10, 12.5, 15 and 25 million cells per ml) over a period of 6 months and compared them to the in-house PlasmaLyte A (PLA)-based cryopreservation media. We found that the MSCs cryopreserved in CS5 and CS10 showed similar characteristics as compared with the in-house freezing media for the various parameters analysed including post-thaw recovery, viability, phenotypic marker expression, CFU-F ability and trilineage differentiation potential of the MSCs. Our results show that human MSC could be successfully cryopreserved using serum-free and xeno-free cryopreservation media and can be delivered to the bedside without any manipulations.
GIS and Database Management for Mining Exploration
Authors: Didero Takodjou Wambo Jonas , Tanni Quinter Wenzi
Published: September 2022

The mining sector has several tools which permits mining exploration works to be done in the most efficient and time conscious way as possible. This chapter is focus on Geographic Information Systems (GIS) and Database and aims to show how this combined approach can help in mineral exploration. It is all about building a database and GIS system capable first of all to assess if a geological/geographical data taken from the field is valid or wrong and to effectively manage mining data in a GIS designed to positively influence any mining exploration project from its earliest stages to the end of the project. We focus on Meiganga area where we have been involved.
Supplements and Down Syndrome
Authors: Ergović Ravančić Maja , Obradović Valentina
Published: September 2022

Down syndrome (DS) is one of the most common genetic disorders associated with a number of difficulties that are visible through the motor and cognitive development. Some theories claim that intake of supplements in very high doses could upgrade the physical and intellectual status of individuals with DS. Numerous papers have been published to support these theories, but at the same time, a great number of papers have warned of the risks of uncontrolled, excessive use of dietary supplements and asked for the proof of such claims by independent scientific studies. In this chapter, we will provide a review of the most commonly used supplements and major findings on this matter. Open access to information about the positive and negative sides of such supplementation is primarily important for guardians of people with DS in order to make the decision whether to use such preparations. It could also be an incentive for scientists to focus on the development of beneficial and safe therapies.