bluuebunny/crossref_metadata_2025 huggingface dataset:
WEAPON: Uma Arquitetura para Detecção de Anomalias de Comportamento do Usuário
Authors: Molina Andre L. B. , Gonçalves Vinícius P. , Sousa Jr. Rafael T. de , Giuntini Felipe T. , Pessin Gustavo , Meneguette Rodolfo I. , Rocha Filho Geraldo P.
Published: July 2022

A detecção de anomalias de comportamento de usuário vem sendo aplicada com sucesso no campo da segurança cibernética. Grande parte da literatura correlata aborda essa questão sem considerar a individualização dos usuários ao analisar logs dos dispositivos de proteção de redes e sistemas. Este trabalho apresenta o WEAPON, uma arquitetura para a detecção de anomalias de comportamento, considerando a individualidade de cada usuário, com base em Wide and Deep Convolutional LSTM Autoencoders. Quando comparado com outras abordagens, o WEAPON mostrou ser mais eficiente, superando em até 7% o segundo melhor modelo no processo de detecção de anomalias.
Delator: Detecção Automática de Indícios de Lavagem de Dinheiro por Redes Neurais em Grafos de Transações
Authors: Assumpção Henrique S. , Souza Fabrício , Campos Leandro Lacerda , Pires Vinícius T. de Castro , Almeida Paulo M. Laurentys de , Murai Fabrício
Published: July 2022

A lavagem de dinheiro é hoje uma das atividades criminais mais relevantes, principalmente devido ao seu potencial de provocar grandes perdas financeiras para governos, bancos, etc. Nós propomos o DELATOR, uma nova CAAT (tecnologia de auditoria assistida por computador) para detectar atividades de lavagem de dinheiro baseada em modelos de rede neural que codificam transferências bancárias como um grafo temporal de larga escala. Em colaboração com um banco brasileiro, projetamos e aplicamos uma estratégia de avaliação para quantificar o desempenho do DELATOR em dados históricos que englobam milhões de clientes. O DELATOR supera uma solução off-the-shelf da Amazon AWS em 18.9% em termos de AUC. Conduzimos experimentos reais que levaram à descoberta de 8 novos casos suspeitos dentre 100 analisados, que seriam reportados às autoridades sob os critérios atuais.
Detecção de Posicionamento e Rotulação Automática de Usuários do Twitter: estudo sobre o embate científico-político no contexto da CPI da Covid-19
Authors: Santos Patricia D. , Goya Denise H.
Published: July 2022

O posicionamento das pessoas em torno de questões sociais e políticas é muitas vezes realizado via mensagens postadas nas mídias sociais. Prever esse posicionamento sem a ajuda de rotulações manuais pode ser uma tarefa desafiadora. Utilizando um estudo de caso específico, a saber, a CPI da Covid-19, este artigo propõe um método para detectar e quantificar o posicionamento de usuários do Twitter em relação a um tema politicamente controverso e polarizado. Por meio do uso de abordagens computacionais combinadas com fatores sociais, como homofilia e estrutura de rede, foi possível rotular automaticamente 98% dos usuários presentes nas bases de dados estudadas, com pouquíssima intervenção humana, bem como categorizar suas posições por meio de uma pontuação de valência de posicionamento e duas métricas complementares: grau de equilíbrio e engajamento.
Uso de URLs para caracterização de comunidades em Redes Sociais Online
Authors: Barbosa Carlos M. G. , Félix Lucas G. da S. , Alves Antônio Pedro S. , Xavier Carolina Ribeiro , Vieira Vinícius da Fonseca
Published: July 2022

Para uma melhor compreensão da organização complexa dos indivíduos em redes sociais online, é essencial a investigação dos grupos de usuários e das discussões em torno de determinados assuntos. Este trabalho apresenta uma metodologia para a caracterização de grupos em redes sociais com base nas fontes externas utilizadas pelos seus usuários para a construção da argumentação conduzida sobre determinados assuntos. Uma análise do Twitter em torno da discussão sobre a vacinação da COVID-19 no Brasil mostra que a metodologia é capaz de avançar no entendimento da forma como as informações são produzidas e propagadas, e nas diferenças entre a forma como diversos grupos de usuários utilizam fontes externas de informação.
Análise da ontologia dos assuntos jurídicos e suas respectivas legislações através de Redes Complexas
Authors: Pires Rilder S. , Oliveira Erneson A. , Almeida Vitor F. , Monteiro Neto João A. , Furtado Vasco
Published: July 2022

Diversos esforços vem ocorrendo com o intuito de mitigar os efeitos da crescente complexidade inerente da Justiça brasileira. Nesse contexto, apresentamos uma abordagem baseada em Redes Complexas que relaciona assuntos jurídicos da Tabela Processual Unificada do primeiro grau da Justiça Federal do Conselho Nacional de Justiça. A partir de conceitos da Teoria de Grafos, identificamos grupos de assuntos e construímos uma rede bipartida de assuntos jurídicos e dispositivos legais. Ao analisarmos a projeção de um modo da rede bipartida no subconjunto dos assuntos jurídicos, verificamos uma forte tendência de assuntos do mesmo grupo compartilharem dispositivos legais entre si, o que resulta em um coeficiente de assortatividade de grupo r ≈ 0.62. Apesar disso, verificamos a presença de compartilhamento de dispositivos legais entre grupos específicos de assuntos jurídicos. Esse resultado, pode contribuir para a compreensão das relações existentes entre os assuntos jurídicos, bem como para a criação e aprimoramento de modelos de Inteligência Artificial que auxiliem em tarefas práticas do sistema judiciário brasileiro.
Identification of the North Brazil Current through spatial motifs in fixed time slices
Authors: Castro Ricardo Buçard de , Monteiro Vinicius Correia , Coutinho Rafaelli , Borges Heraldo , Ogasawara Eduardo
Published: July 2022

As análises de motifs espaço-temporais podem fornecer intuições sobre os dados. Também pode ser particularmente interessante analisar os padrões espaciais fixando-se uma fatia temporal. Uma variável na qual a relação espaço e tempo é presente é a da Temperatura da Superfície do Mar (TSM). A TSM está relacionada aos diversos fenômenos naturais que impactam severamente a vida de milhões de pessoas. A TSM também pode ser analisada em uma fatia de tempo, procurando-se descobrir as relações espaciais, que podem refletir o comportamento das correntes marítimas em um determinado momento. Este trabalho avalia um método de identificação de motifs em séries espaço-temporais por meio da comparação das ocorrências destes motifs com correntes marítimas previamente mapeadas. Como prova de conceito, o objetivo é ser capaz de identificar a Corrente Norte Brasil, corrente que é afetada pela Zona de Convergência Intertropical, identificada em ampla bibliografia como responsável pelas secas no nordeste do Brasil. Para isso, após a descoberta de motifs espaço-temporais, é feita uma regressão linear de cada motif encontrado. O ângulo dessa regressão é então comparado com o ângulo no qual a corrente está se movimentando de acordo com a plataforma Windy. O método proposto foi capaz de atingir resultados de 70% de acerto dentro dos dez motifs mais bem ranqueados.
Avaliação de Sistemas de Reconhecimento de Fala Robustos a Ruídos Provenientes de Maquinário da Indústria do Petróleo
Authors: Nunes Vinicius de Souza , Duarte Julio Cesar
Published: July 2022

Nos últimos anos, sistemas de reconhecimento automático de fala evoluíram de regras rígidas para modelos probabilísticos, graças ao avanço em redes neurais. No entanto, locutores podem estar expostos a ruídos, o que prejudica a transcrição da fala. Assim, este trabalho tem por objetivo avaliar a aplicação de redes neurais no reconhecimento automático de fala robusto a ruídos, mais especificamente, àqueles provenientes do maquinário da indústria do petróleo. Para atingir o objetivo, foi construída uma base de ruídos representativos, e, nos experimentos, o resultado da média do CER para os modelos desenvolvidos com o mesmo tipo de ruído foi de 0,421984, sendo a SNR do treino a mesma do teste, contra 0,522851 quando tais relações são diferentes.
Análise e Classificação Automática de Nódulos em Raízes de Cultivares de Soja
Authors: Pacanhela Eber Fabiano , Rondina Artur Berbel Lirio , Nogueira Marco Antonio , Hungria Mariangela , Saito Priscila Tiemi Maeda , Lopes Fabrício Martins
Published: July 2022

A soja é a oleaginosa mais cultivada no mundo e requer grandes quantidades de nitrogênio para a nutrição da planta. O nutriente pode ser fornecido por fertilizantes químicos, prejudiciais ao meio ambiente. No entanto, o processo de fixação biológica do nitrogênio (FBN) tem sido uma opção eficaz para aumentar a produtividade e minimizar os impactos ambientais. A FBN ocorre por meio da associação de bactérias diazotróficas no sistema radicular de leguminosas e oleaginosas, onde nódulos radiculares são formados. Este trabalho propõe-se uma análise e classificação automática, por meio do processamento de imagens e visão computacional, destes nódulos radiculares para avaliar a eficácia da nodulação em soja, considerando a quantidade de nódulos.
Detecção de Discurso de Ódio: Homofobia
Authors: Souza Andrey O. , Nakamura Eduardo F. , Nakamura Fabíola G.
Published: July 2022

Entender o contexto e os motivos para ações homofóbicas é primordial para mitigar esse tipo de ódio. Este trabalho apresenta a construção de um conjunto de dados retirados do Twitter, os quais contém informações sobre discursos homofóbicos. As contribuições são: (1) o método de construção de um conjunto de dados e a rotulação anônima baseada no teor homofóbico dos mesmos; (2) a criação de características desse conjunto de dados; (3) a avaliação de métodos de aprendizagem de máquina para a classificação dos dados referente ao teor homofóbico. Resultados preliminares mostram que o modelo Random Forest Classifier se destaca na identificação de tuítes homofóbicos com F1-Score de 0.8, revocação de 0.9 e precisão de 0.7.
HTP SurflexDock: a web tool for Structure-Based Virtual Screening analysis based on the Ensemble Docking protocol
Authors: Almeida Filho João L. de , Fernandez Jorge H.
Published: July 2022

Structure-Based Virtual Screening (SVBS) is a technique traditionally used to find a set of specific inhibitors for a receptor structure during the preliminary stages of drug discovery studies. However, more than 90% of SBVS best ranks compounds do not have the expected biological effect at the end of the process. In this context, strategies to increase the success rate must be employed to ensure the experiment's success. Here, we introduce the HTP SurflexDock, a tool that improves the success rate of SBVS experiments through two strategies: First, the ensemble docking protocol enables the simulation of the implicit flexibility of the receptor structure. Second, a post-processing steps allows the user to rescore promising compounds by expanding the conformational space search or estimating the binding free energy through the MM/PBSA protocol. HTP SurflexDock is useful when dealing with flexible receptors and when structural information about the receptor contact area is insufficient or optimized for a specific ligand type. HTP SurflexDock is freely available as a web service or may be downloaded at https://htpsurflexdock.biocomp.uenf.br/.
Towards a graphical tool for modeling scientific workflows’ provenance according to the W3C PROV standard
Authors: Vieira Marcos Alves , Carvalho Sergio T.
Published: July 2022

Provenance makes it possible to describe information about the steps involved in the production of a piece of data and allows an assessment of its quality, reliability, or credibility. When it comes to scientific workflows, provenance establishes the relationships between the artifacts associated with a given set of simulations and can be used to enable: (i) their sharing with the scientific community, (ii) the reproducibility of the results, or (iii) the evaluation of erroneous outputs. This paper presents the work in progress towards building a graphical provenance modeling tool conforming to the W3C PROV standard and following Model-Driven Engineering (MDE) concepts. The modeling tool can be used to model scientific workflows' provenance, enabling, for instance, their visual representation, reproducibility, and sharing.
Differentiable Planning for Optimal Liquidation
Authors: Pennacchio Alan A. , Barros Leliane N. de , Mauá Denis D.
Published: July 2022

Optimal liquidation consists of selling large blocks of single stocks within given time frames optimally with respect to specified risk-sensitive objectives. In this paper, we extend the Almgren-Chriss model for the liquidation process to a more generic and realistic setting and present a differentiable planning algorithm to solve it. We evaluate the performance of the proposed method through experiments, demonstrating the potential of differentiable planning for optimal liquidation in realistic scenarios.
Caracterização da Colaboração Apoiada por Sistemas de Informação em Cidades Inteligentes
Authors: Machado Sofia M. B. , Outão Juliana C. S. do , Chaves Victor M. G. , Diirr Bruna , Santos Rodrigo Pereira dos
Published: July 2022

A concentração da população em áreas urbanas aumenta as questões econômicas, sociais e ambientais, que podem ser resolvidas por meio da articulação entre governos, universidades, empresas e sociedade, em iniciativas de cidades inteligentes. Este estudo busca sistematizar o que tem sido abordado sobre colaboração em iniciativas de cidades inteligentes apoiadas por sistemas de informação, por meio de um mapeamento sistemático da literatura. Os resultados indicam que as iniciativas relacionadas à melhoria da qualidade de vida dos cidadãos são as mais frequentes. Como contribuição, o trabalho identifica desafios e oportunidades no tema e pode subsidiar formulações de teorias em trabalhos futuros.
Towards Inclusive Software: Accessible Questionnaires for Deaf People
Authors: Paiva Débora Maria Barroso , Soares Michele dos Santos , Carmo Gênesis Medeiros do , Cagnin Maria Istela
Published: July 2022

Despite several initiatives to integrate accessibility to the Software Engineering (SE), in practice, little is known about both the participation of people with disabilities in the phases of the software development process and the methods used. Inclusive SE is a challenge and many research opportunities may be identified. In this scenario, our objective was to identify accessibility guidelines for questionnaires, an extensively used technique, aiming at the inclusion of deaf people in many activities of the software development process. We believe initiatives like these guidelines are a step towards the inclusion of deaf people during the whole software development process and could further contribute to the accessibility of software systems.
Análise quali-quantitativa sobre a influência da diversidade na produtividade de equipes ágeis: um estudo na indústria
Authors: Motta Taianne Valerie Alves , Braga e Silva Gláucia
Published: July 2022

Este artigo investiga a influência da diversidade na produtividade de equipes que utilizam metodologias ágeis e também na qualidade dos artefatos produzidos. Para isso, foi realizada uma pesquisa quali-quantitativa, no contexto da indústria, envolvendo quatro times com diferentes perfis de diversidade. O estudo utilizou dois métodos de coleta de dados: um questionário organizado em três dimensões e métricas aplicadas a dados de uma ferramenta de apoio ao desenvolvimento. Os resultados mostraram que os times mais diversos apresentaram melhores indicadores de produtividade e qualidade em seus produtos.
Contribuições na logística de entrega urbana expressa de última milha usando grandes instâncias reais de cidades brasileiras
Authors: Clementino Thailsson , Rosas Juan , Freitas Rosiane de , Uchoa Eduardo
Published: July 2022

Neste artigo, o problema de roteamento de veículos com janelas de tempo é abordado, como forma de incorporar características de dinamicidade da cadeia logística de entregas expressas, explorando aspectos teóricos que melhor definem o problema e suas instâncias. O problema consiste em determinar rotas de custo mínimo que devem ser executadas por uma frota de veículos respeitando suas capacidades e as janelas de tempo de entregas de cada cliente. Uma estratégia que utiliza o método de Branch-Cut-and-Price através da ferramenta VRPsolver foi aplicada em dois conjuntos de instâncias, sendo a primeira as instâncias clássicas artificiais de Solomon e, a segunda, instâncias reais brasileiras adaptadas do benchmark loggiBUD.
Segmento de Logística Reversa e Transportes no Contexto de Cidades e Regiões Inteligentes: Literatura e Proposta
Authors: Plouvier Luciano Ferreira , Ochi Luiz Satoru
Published: July 2022

O tema de Cidades & Regiões Inteligentes possui diversos segmentos de extrema importância, dentre eles a de Logística Reversa & Sistemas Inteligentes de Transporte. Neste contexto destacamos o Problema de Roteamento de Veículos (PRV) que se torna cada vez mais relevante, com o aumento das compras online (e-commerce). Algumas das variantes mais importantes do PRV deste segmento foram revisadas, com um foco dado às soluções heurísticas para os modelos com frota heterogênea e entregas fracionárias (PRVHEF), por estarem presentes em aplicações reais de entrega de mercadorias, como fazem as empresas Loggi e Amazon.com, dentre outras.
Detecção Inteligente de Falhas em Pavimentações Asfálticas com Redes Neurais Convolucionais Regionais
Authors: Carvalho Rafael Barbosa de , Guedes Elloá B. , Figueiredo Carlos Maurício S.
Published: July 2022

Neste artigo foi abordado o problema da inspeção automática de danos em pavimentações como um problema de detecção em Visão Computacional com vistas a colaborar para o desenvolvimento de soluções que apoiem cidades inteligentes na melhoria da qualidade e da segurança no trânsito. Neste sentido considerouse um cenário experimental com dados realísticos oriundos de três países diferentes e quatro configurações para as redes YOLO. Ao comparar os resultados obtidos com a literatura, verificam-se ganhos significativos no tempo de previsão ainda que utilizando um menor número de parâmetros, produzindo um mAP igual a 0,53. Também avaliamos a solução proposta em um estudo de caso com imagens do Brasil, o qual ressaltou diversos desafios práticos a serem levados em conta na ocasião da proposição de modelos automáticos de detecção para o problema em consideração.
Um modelo de programação matemática para o problema Weighted Minimum Broadcast Time
Authors: S. Alfredo Lima M. , Ochi Luiz Satoru , Nogueira Bruno , Pinheiro Rian G. S.
Published: July 2022

Para uma cidade ser classificada como "inteligente", ela precisa ter sensores espalhados por ela. A disseminação de dados em uma rede de sensores é um dos desafios que deve ser superado. Em particular, um problema de broadcasting é o WEIGHED MINIMUM BROADCAST TIME (WMBT). O WMBT é um problema de disseminação de dados cujo objetivo é encontrar um esquema de disseminação que minimize o número de passos necessários para executar a operação de disseminação. Será apresentado uma aplicação do WMBT para o processo de atualização de firmware de dispositivos em uma rede Bluetooth. Será apresentado um modelo matemático para o WMBT. Esta proposta comparou com adaptações de heurísticas do estado-da-arte. Os resultados experimentais mostram que o modelo pode ser aplicado para resolver o WMBT.
Aplicação de mini VANTs em Modelos 3D em escala real para preservação cultural de construções históricas
Authors: Baldivieso Thiago J. M. , Boente Alexandre S. , Batista Taise G. S. , Rosa Paulo F. F.
Published: July 2022

O passado histórico e cultural de uma cidade é o ponto chave do conceito de cidades inteligentes, pois o passado está atrelado a como a cidade é vista e a sua consolidação. Por isso a preservação cultural de estruturas históricas, edifícios e bens culturais é de grande importância. Este artigo apresenta uma metodologia para reconstrução 3D de edifício histórico através de fotogrametria com VANTs (Veículos Aéreos não-Tripulados), de pequeno porte, para posterior reconstrução 3D do Palacete da Babilônia. O objeto de estudo trata-se de uma construção histórica do ano de 1866, situada no Colégio Militar do Rio de Janeiro. Foram utilizados três modelos de mini drones, testando aplicativos de planejamento e execução da missão de voo, uso de softwares diferentes para geração da reconstrução do modelo 3D, ajustes do modelo e a impressão do modelo tridimensional gerado com intuito de preservação da construção histórica.
Uma Ferramenta de Visualização de Dados Georreferenciados e o Turismo Inteligente como Estudo de Caso
Authors: Menezes Anderson C. K. de , Rocha Antônio A. de A. , Mayer Verônica Feder , Plastino Alexandre
Published: July 2022

Neste artigo, propomos uma ferramenta de visualização de dados georreferenciados, baseada em dados de telefonia celular que, após a aplicação de técnicas de mineração de dados, mais especificamente, de Regras de Associação, gera representações visuais dinâmicas e interativas nas quais os usuários podem extrair rapidamente certos padrões de mobilidade, contribuindo para a geração de conhecimento. Como estudo de caso, a ferramenta foi instanciada para aplicação em turismo inteligente, com base em dados de conexões de celulares de estrangeiros ocorridas no município do Rio de Janeiro e na sua Região Metropolitana no período de 05/2020 a 10/2021.
Intelligent Road Intersections: A Case for Digital Twins
Authors: Martínez Víctor M. G. , Ribeiro Moisés R. N. , Campelo Divanilson R.
Published: July 2022

Smart cities are based on complex systems that use legacy infrastructure and modern and intelligent solutions to achieve a highly efficient functioning of society in several verticals. In the context of road intersections, the main objective is to offer safe, efficient, and reliable mobility services for all agents involved in the physical space (infrastructure, vehicles, and pedestrians). The digital twin paradigm has recently been considered by both academia and industry as a means for reaching intelligent transportation solutions. The article makes a case for digital twins in intelligent intersection modeling as it is expected to consolidate real-time monitoring, control, and management of intelligent intersections. The design of a framework and the development of a testbed are presented in this paper. New functionalities for the safe operation of the road intersection are the expected results of this proposal.
Algoritmo VNS para o Problema de Roteamento Híbrido com Veículo-Drone para Serviço de Entrega e Coleta
Authors: Zudio Anderson , Coelho Igor Machado , Ochi Luiz Satoru
Published: July 2022

O problema de roteamento híbrido com veículo-drone para serviço de coleta e entrega (HVDRP) modela diversas aplicações industriais de logística em cidades inteligentes, como serviços de monitoramento e de transporte de pacotes. No HVDRP, um veículo é equipado com vários drones para servir clientes com demandas de coleta e entrega. O veículo transita entre estações para efetuar o despacho dos drones. Este trabalho apresenta uma abordagem baseada no Variable Neighborhood Search (VNS) para o HVDRP, que foi submetido a um teste computacional com instâncias disponíveis publicamente. Os resultados mostram que o VNS proposto obtém soluções equivalentes ou superiores quando comparado com as de outra abordagem da literatura e que as soluções das pequenas instâncias são ótimas.
Characterization of Seafloor Marine Litter Distribution in a Shipping Route of Ancon Bay
Authors: Campos Diego , Morales-Tejeda Gilary , Razuri-Esteves Victor
Published: July 2022

Marine litter on the seafloor has been increasing for several decades. Moreover, shipping routes and fishing ports are considered as affected areas with benthic macro-litter distribution. In Peru, the available information about benthic litter is limited and only originates from cleaning campaigns. Therefore, this study aimed to conduct the first scientific report about benthic macro-litter occurrence and composition distributed in a shipping route of Ancon Bay. For this purpose, a remotely operated vehicle (ROV) was used to evaluate the marine litter composition and distribution at depths between 1 and 25 m. A total of 8.8 h of video transects were recorded, and 46 litter items were identified, where plastic represented 80.4%; and industry food and single-use bags were the most frequent items. Plastic fragments and food industry bags dominated areas closer to San Francisco Grande mud sandy beach and the anchorage zone, respectively, while non-plastic items were more common in front of rocky shores. The present work emphasizes the importance of the studies about benthic marine debris for better decision-making regarding litter management. It also highlighted the usefulness of low-cost ROVs in identifying different litter items in shallow areas.
Generation of Bioelectricity Using Molasses as Fuel in Microbial Fuel Cells
Authors: Rojas Flores Segundo , Pérez-Delgado Orlando , Naveda-Renny Nazario , Benites Santiago M. , De La Cruz –Noriega Magaly , Delfin Narciso Daniel Alonso
Published: July 2022

The large amount of molasses that are generated in sugar-processing companies are not always redistributed for commercialization in by-products. Because of this, the present research uses these wastes as fuel in low-cost, lab-scale, single-chamber microbial fuel cells. Zinc and copper electrodes were used as electrodes and 100 mL of molasse in the chamber as fuel, managing to generate current and voltage peaks of 1.73 ± 0.13 mA and 0.953 ± 0.142 V. In monitoring the conductivity of the substrate, a maximum peak of 111.156 ± 8.45 mS/cm was observed, and a slightly acidic pH was observed throughout the monitoring. It was possible to obtain a power density of 5.45 ± 0.31 W/cm2 for a current density of 308.06 mA/cm2, while the yeast count showed a logarithmic curve throughout the monitoring. Finally, the molecular technique identified 100% of the special C. boidinii present in the anodic electrode. This research will give great benefits to sugar companies because they will be able to generate electricity using the molasses that cannot generate by-products.
Agricultural Land Withdrawals in Relation to Sustainable Land Use in Slovakia
Authors: Palšová Lucia , Machničová Zina , Poláková Zuzana
Published: July 2022

The area of ​​agricultural land withdrawn for non-agricultural purposes is gradually increasing worldwide, which is mainly due to the conflicting interests of entities that are interested in the use of this natural resource. Between 2009 and 2020, agricultural land in the area of ​​more than 16,000 ha was withdrawn in Slovakia for non-agricultural purposes. It can be considered a threat that the purpose of withdrawal is mostly industrial and subsequently housing, from which it is possible to predict the continuing intensification of industrial production and the growing agglomeration of regional cities. The role of the state in this regard is to introduce tools for its protection so that its production as well as ecological functions are ensured in a sustainable way. The aim of the paper is to evaluate changes in agricultural land use in Slovakia in the context of analysis of implementation tools aimed at protecting agricultural land, using descriptive and regression analysis of available primary and secondary sources. The result thus points to the increased need of protection and reduction of the rate of withdrawal of agricultural land from the agricultural land fund (at least within the highest quality groups with the highest impact for individual withdrawal purposes), more specifically the land belonging to groups 2 and 3, in order to stabilize the agro-sector, which is vital in terms of its functions, among other things, as well as in the field of biodiversity protection, food self-sufficiency and landscape maintenance. The protection of agricultural land as a component of the environment is not a priority interest of state policy, and therefore its implementation is vague and non-conceptual in terms of current progress and the needs of the society.
Evaluation of Corrosion Rate in X 65 Steel Pipes by Taguchi Method Based on Factors Originating from Soil and External Interactions
Authors: BALCIK Cenk , UNAL Cagatay
Published: July 2022

Steel pipelines that are used for the transportation of natural gas and petroleum usually pass through different places with different soil characteristics. Due to distinct soil structures and other corrosive factors, pipelines tend to corrode at different rates. In this study, the effects of moisture content, salt concentration, pH, AC potential and cathodic protection levels on the corrosion rate were investigated as factors affecting corrosion in steel structures originating from the ground and external sources. The number of experiments to be carried out was decided as a result of experimental design with the Taguchi statistical method. L16 orthogonal array was used for 4 different levels of 5 corrosion rate affecting factors and 16 different experimental studies were conducted to obtain corrosion rate values for each experiment. Based on the statistical analysis results, the effect of changes in moisture content of the soil on corrosion rate was higher compared to other factors. Considering that underground pipelines usually pass through neutral environments (pH levels between 6-8), the effect of changes in pH value on corrosion rate is less than the other factors studied. In addition, with the regression analysis performed through the Minitab software, a linear regression model and an equation was created to calculate the corrosion rates. Corrosion rate results obtained with the regression equation were compared with the test results performed in different test environments. By calculating the corrosion rate for different factors, selection of or changing the pipeline route, selection of material wall thickness, planning of pipeline control and maintenance periods can be made in the most ideal way. Also, a comparison of corrosion rates against existing literature shows that corrosion rates of steel materials change between outstanding classification ranges according to corrosion resistance classification of steel materials.
Antimicrobial cationic surfactant-loaded hydrogel coatings in preventing medical device-associated infections
Authors: Teng Xiao , Clerkin Caoimhe G , McCoy Colin P
Published: July 2022

Hydrogels described herein were developed as anti-microbial coating materials. Three different hydrogels, p(HEMA), p(85%HEMA-co-15% MMA), and p(85% HEMA-co-15% MAA) were loaded with two cationic surfactants, BAK, and DDAB, respectively. DDAB owned better effectivity than BAK in killing S. aureus and E. coli. Compared to unmodified(HEMA), all drug-loaded samples exhibited significant anti-adherence ability against E. coli, but on surfaces of all DDAB-loaded hydrogels, bacteria were below the limit of detection, so DDAB was more effective than BAK in conferring anti-adherent properties.
Population PK modelling as an alternative route to bioequivalence
Authors: Gajjar Parmesh , Dickinson Jake , Dickinson Harri , Ruston Linette , Mistry Hitesh B , Patterson Claire , Dickinson Paul A
Published: July 2022

Demonstratingbioequivalence (BE) is important for the development of lower cost genericproducts, and also for approving post-submission manufacturing changes.However, for many complex parenteral products, BE demonstration can be verychallenging. For example, long-acting injectable products are engineered tohave an extended release over several weeks or months, but this also means thata traditional BE study can take many months or years to perform. Here, we summarisehow population PK modelling, which captures differences in PK profiles due topopulation variation, could be used explore hundreds of virtual formulations,and thus determine a range of products that are bioequivalent after bothmultiple and single dosing. This provides a guide for formulation developmentbut also opens alternative, more streamlined routes to BE assessment. 
Dissolution of theophylline from extended-release tablets under cyclic retrograde peristaltic contractions in the Dynamic Colon Model
Authors: O'Farrell Connor , Stamatopoulos Konstantinos , Simmons Mark J. H. , Batchelor Hannah
Published: July 2022

The dynamic colon model isa biorelevant in vitro model of the human proximal colon. In vivo, the largeintestine mixes its contents using peristaltic waves that propagate both forwards(antegrade) and backwards (retrograde). This work studies the dissolutionprofile of theophylline from Uniphyllin Continus 200 mg prolonged releasetablets and the distribution of dissolved theophylline in viscosity-enhancedmedia under the influence of a cyclic retrograde peristaltic contraction. At 16-and 24-hours,  and  theophylline dissolved from the tablet and thefluid inside the mimic intestinal system approached homogeneity.
Grinding of Serbian peppermint ('Mentha' × 'piperita L.') leaves: Variations regarding yield, composition and antimicrobial activity of isolated essential oil
Authors: Ilić Dušica , Stanojević Jelena , Cvetković Dragan , Ristić Ivan , Nikolić Vesna
Published: July 2022

This paper aimed to estimate the influence of peppermint (Mentha × piperita L.) leaves grinding on the essential oil (PEO) yield, composition, antibacterial and antifungal activities. Besides positively affecting the yield, grinding provided PEO with 44 compounds, compared to 33 compounds isolated from non-ground leaves. The most abundant compounds in both PEOs were menthol and menthone. PEO isolated from the ground leaves expressed higher antibacterial and antifungal activities , with S. aureus and C. albicans being the most susceptible microorganisms. According to these results, PEO from ground leaves has the potential to be used in food industry and packaging, production of nutraceuticals, natural pharmaceuticals and cosmetics.
Qualitative and quantitative analysis of the pre-consumer textile waste in North Macedonia
Authors: Maksimov Stefan , Jordeva Sonja , Zhezhova Silvana , Golomeova Longurova , Andronikov Darko
Published: July 2022

Textile waste in North Macedonia participates with 4.7% in the total composition of the municipal solid waste which is completely landfilled. The purpose of this paper is investigation of the textile waste quantity and quality as a pre-condition for its further management. The results obtained show domination of the apparel cutting waste, the total amount has an average value of 2792.7 tons per year. The further analysis shows that cotton waste is the most represented with 46.4%, then waste from artificial and synthetic fibres with 41.4%. During the research period (2015-2020), 1.42 kg/capita (on average) of pure pre-consumer textile waste with retained physical and mechanical properties is generated annually.
A Fourth Industrial Revolution Paradigm Shift in Teacher Education?
Authors: Zami Atibuni Dennis , Manyiraho Deborah , Nabitula Agnes Nabitula
Published: July 2022

This article explores the plausibility of shifting from the instruction paradigm to the learning paradigm in order to prepare teachers to meet the needs of 21st century learners within the fourth industrial revolution (4IR). While the instruction paradigm is dominated by teacher-centred instructional strategies, a shift to the learning paradigm would require teacher training institutions to prepare teachers who will facilitate the teaching/learning process through interactive strategies, that is, teachers who are ‘meddlers in the middle’, who create puzzling situations and work alongside students to construct knowledge. Key aspects of such a shift include training institutions’ mission and purpose, criteria for the institutional and personal success of teacher trainers and trainees, teaching/learning structures within institutions, learning theory, productivity, funding, and the nature of educational stakeholders’ roles. In line with the dictates of the 4IR, training institutions should cultivate versatility to continuously identify, develop, test, implement, and assess effective learning technologies. In turn, their graduates should value learning as a continuous process for themselves, their learners, and their institutions.

Key words: Fourth industrial revolution, paradigm shift, teacher training, instruction paradigm, learning paradigm
Institutional Organisation of Distance Secondary School Teacher Training in Malawi:
Authors: Chizengo-Thawani Annie Tamara , Shawa Lester Brian
Published: July 2022

There is a paucity of research on the institutional organisation of distance education. This article stems from a larger project that explored the learning implications of distance secondary school teacher training in Malawi. Drawing on the industrial education theory, it focuses on the nature of institutional organisation of distance teacher training at Domasi College of Education and Mzuzu University. Data were collected by means of semi-structured in-depth interviews with two administrators and two instructors, as well as document analysis. This study revealed challenges relating to the one-size-fits-all approach to the institutional organisation of distance teacher training in terms of distance education systems; their functions and coordination; documentation of plans; and instructional material design. This points to a lack of lucid planning for open and distance education in Malawi. Based on the findings, recommendations are offered to improve the country’s distance education system.

Key words: Institutional organisation, distance secondary school teacher training, Malawi
Precursors and Outcomes of Perceived Value in Achieving Student Loyalty in Open Distance Electronic Learning Institutions
Authors: Mbango Phineas
Published: July 2022

The Covid-19 pandemic resulted in contact universities entering the distance learning market, creating new competition for Open Distance Electronic Learning (ODeL) institutions. To achieve a sustainable competitive advantage, these institutions need to formulate sound strategies to attract and retain students. This study investigated the precursors and outcomes of perceived value in achieving student loyalty in ODeL institutions. A quantitative approach was employed to gather data using self-administered online questionnaires, with 1430 responses. The partial least squares structural equation modeling technique was used to test the proposed model. The results indicate that an ODeL institution’s reputation and service quality positively influence student value, while the outcomes are trust, commitment, and student loyalty. However, institutional reputation was found to have more influence on student value than service quality, and commitment had more influence on loyalty than trust. While a number of studies have been conducted on the relationship between the variables/constructs, service quality and reputation as determinants of customer value and trust and commitment’s influence on loyalty, they do not show the differences in the magnitude of each variable. This study showed that although all these factors correlate and positively influence one another, there are major differences in the magnitude of influence. It is thus recommended that ODeL institutions should formulate strategies aimed at enhancing institutional reputation, value, and student commitment in order to retain student loyalty.

Key words: Service quality, institutional reputation, open distance electronic learning, perceived value, commitment
Carol Rittner and John K. Roth, Eds. The Memory of Goodness: Eva Fleischner and Her Contributions to Holocaust Studies
Authors: Banki Judith
Published: July 2022

No abstract is available.
FRVT Part 4A:
Authors: Ngan Mei , Grother Patrick , Hanaoka Kayee
Published: July 2022

This report is a part of a series of studies on the topic of face morphing, its relevance and implications as a vulnerability to automated face recognition, and methods to aid in detecting morphs. Expanding on concepts introduced in a study conducted by the Dutch Vehicle Authority, this report presents a methodology and quantitative results on the use of automated one-to-many (1:N) face recognition algorithms as a mechanism to potentially detect the presence of morphs. This report is intended to inform end-users and identity credential issuance entities, especially those that accept user-submitted photos, in understanding how a 1:N search against a centralized database might be used to flag suspicious activity related to face morphing. Our proposed methodology analyzes the rank 1 and rank 2 scores that are returned on candidate lists from searching morph and bona fide photos against both consolidated and unconsolidated galleries of 1.6 million unique subjects under new enrollment and renewal scenarios. Morph classifiers are trained using the rank 1 and 2 score pairs from a number of modern 1:N face recognition algorithms to quantify the utility of these scores in detecting morphs.
Promoting Sensitive Mother-Infant Interactions in the Neonatal Intensive Care Unit: Development and Design of a Nursing Intervention Using a Theory and Evidence-Based Approach
Authors: Lavallée Andréane , Aita Marilyn , Côté José , Bell Linda , Grou Bénédicte
Published: July 2022

Introduction: Sensitive mother-infant interactions are important predictors of long-term mother-infant relationship, which is one factor having a positive impact on infant development. Considering preterm infants’ immaturity, mother-infant interactions and maternal sensitivity may not develop optimally. A systematic review showed that current evidence on the effectiveness of parent-infant interventions promoting parental sensitivity in the neonatal intensive care unit (NICU) is of low to very low quality.

Objective: The objective of this paper is to report the development process of a novel nursing intervention, using a theory and evidence-based approach, to enhance maternal sensitivity and preterm infant neurodevelopment in the NICU.

Methods: The Medical Research Council’s guidance to develop and evaluate complex health interventions, that is an evidence and theory-based approach, was used for this study. Thus, based on the MRC framework, three main steps were conducted: 1- Identifying existing empirical evidence; 2- Identifying and developing theory; 3- Modeling processes and outcomes.

Results: We developed a guided participation intervention for mothers to participate in their preterm infant’s care and positioning (‘GP_Posit’). ‘GP_Posit’ is based upon the Attachment theory, the Guided Participation theory as well as the Synactive theory of development.

Conclusion: This novel intervention is being tested in a pilot randomized controlled trial (NCT03677752).
Méthode d’opérationnalisation de mesures de la performance sensibles aux soins infirmiers basées sur des données de routine
Authors: Rapin Joachim , Santos Gabrielle Cécile , Pouzols Sophie , D’Amour Danielle , Dubois Carl-Ardy , Mabire Cédric
Published: July 2022

Introduction: The operationalization of nursing-sensitive performance measures has been highly variable. It results in measures that are sometimes suboptimal and difficult for managers and nurses to access. The objective is to propose a rigorous method for operationalizing nurse-sensitive performance measures based on routine data. Source of Information: The primary source of information for this article is an operationalization method adapted from a reporting guide and performance measure evaluation instrument. It includes 7 processes and 33 interrelated quality attributes. The application of this operationalization method was successfully tested in a university hospital. Discussion: Operationalization of nursing-sensitive performance measures is a complex process. This method is an original proposal that allows for the justification and argumentation of the choices made. We discuss how this method is a response to 3 methodological issues: (1) heterogeneous and poorly detailed operationalization methods; (2) critical attributes (e.g., relevance, scientific validity, feasibility) that lack consensus and (3) heterogeneous data architecture models. Implication and conclusion: This operationalization method provides a systematic and transparent approach to generating nursing-sensitive performance measures from routine data. It could improve their operationalization, facilitate their understanding and evaluation.
Feminist discourses of Spanish digital influencers: An analysis of their activity on social media
Authors: Navarro Celina , Villegas-Simón Isabel
Published: July 2022

With the rise of digital feminism, this article explores the role of Spanish digital influencers considered feminist referents and the topics addressed by them on their social networks from a gender perspective. An online survey was used to create a ranking of the 12 most popular influencers by social media users. First, an analysis of their professional and sociodemographic profiles was made. Second, a cross-platform content analysis of the posts published by these influencers on Facebook, Twitter and Instagram was undertaken. The results show the homogenous profile of most popular feminist influencers. The main topics addressed in their social networks are linked to gender violence, specially on Twitter, being the social network where they publish the largest number of posts with a gender perspective despite the fact that they have more followers on Instagram. Finally, the study concludes that online feminist discourses replicate the issues on the traditional media agenda and leave out other topics on the feminist agenda that involve women belonging to minorities and related to the private sphere.
Microteaching: Theoretical Origins and Practice
Authors: Cavanaugh Shane
Published: July 2022

Through a selective review of the literature, this article examines the theoretical origins and early use of microteaching and charts its development over the last nearly six decades in the field of teacher education. From its beginning in the 1960’s as a method for pre-service teacher behavioural modification with new portable video technology, to today’s mini-lessons recorded on students’ phones, microteaching has evolved with the trends in educational theory and technology. Today’s microteaching research and practice should be informed by those that have come before it, but also reflect the field’s current trends in practice and theory.
Finding Frequent Items: A Novel Method for Improving the Apriori Algorithm
Authors: Karimtabar Noorollah , Shayegan Fard Mohammad Javad
Published: July 2022

In the current paper, we use an intelligent method for improved the Apriori algorithm in order to extract frequent itemsets. PAA (proposed Apriori algorithm) is twofold. First, it is not necessary to take only one data item at each step. In fact, all possible combinations of the items could be generated at each step. Secondly, we can scan only some transactions instead of scanning all the transactions to obtain frequent itemset. For performance evaluation, we conducted three experiments with the traditional Apriori, BitTableFI, TDM-MFI, and MDC_Apriori algorithms. The results exhibit that due to the significant reduction in the number of transaction scans to obtain the itemset, the algorithm execution time is significantly reduced; as in the first experiment, the time spent to generate frequent items underwent a reduction by 52% compared to the algorithm in the first experiment. In the second experiment, the amount of time spent is equal to 65%, while in the third experiment, it is equal to 46%.