bluuebunny/crossref_metadata_2025 huggingface dataset:
Förskolans utbildning i Antropocen
Authors: Ärlemalm-Hagsér Eva
Published: November 2022

Förskolebarnet har historiskt setts som utvecklings- och framtidsprojekt i strävan för ett bättre samhälle. I den senaste Läroplan för förskolan (Skolverket, 2018) har det politiska begreppet hållbar utveckling (HU) lagts till både i förskolans värdegrund och i förtydligande målskrivningar. I denna artikel presenteras en narrativ studie om förskolans utbildning med fokus på förskolans roll ochförskolebarns lärande i antropocen. Studien har en kritisk teoretisk bas där empirin utgörs av förskollärares berättelser om sitt arbete med utbildning för hållbarhet i förskolan. Kritisk forskning om utbildning för hållbarhet har gett stöd i analysen av förskollärarnas narrativa berättelser. Specifikt har frågor om vilka kunskaper som ses som avgörande kunskapsinnehåll för förskolebarn och vilken roll förskolan har i den tid som definieras som antropocen studerats. Resultatet visar att antropocen som begrepp inte används i förskollärarnas beskrivningar av utbildningen. Dock, framträder i deras berättelser en utbildning där arbetet för en hållbar jord ses som ett grundläggande innehåll och där barns lärande innebär att lära om hållbar resurshantering, källsortering och att lära i och om naturen. Slutligen ger en svag styrning och ledarskap sig tillkänna där hållbar utveckling som begrepp inte ger stöd för tolkningar och förståelser om att arbeta i en utmanande tid i relationen människa och natur.
Comparative Analysis of Curved Beam with different Types of Holes in Middle Section by use of Ansys Software
Authors: M S Abishek , M S Abishek , Kumar G C S Vijaya
Published: November 2022

Reinforced concrete beam with transverse web opening is a facility that allows the services such as telephone lines air conditioning and ventilating ducts, to pass through the structure. Because of the change in the beam section the corners of the opening are subjected to large concentration of stress, possibly producing oblique cracks in the beam. The region nearby the openings are measured as the weaker part of the beam. Therefore, a decline in bearing capability and also a change in the load transport mechanism is experienced. This thesis investigates the analytical study on the influence of various opening shapes with constant area on shear behavior of RC beams without extra shear reinforcement around the opening. In this thesis nonlinear analysis using ANSYS 18.1 is used to analyze the beam. The RC beam with opening is a method that permits the services to move towards the construction. Due to rapid changes in the beams crosssection, the edges of the opening stimulate crosswise cracks and can be subjected to high stress concentrations. The reliability and constancy of the beam will then be considered compromised, and the regions nearby the opening is the weakest element of the beam. Therefore, a decline in the bearing capability and also a change in the load transport mechanism is experienced. If safety actions are not in use, preventable accidents are likely to ensue.
Seismic Behaviour of Framed Structure Considering Soil Structure Interaction
Authors: K Pratap , Basavaraj Savan R G
Published: November 2022

:Inelastic response of the buildings are often developed without considering soil structure interaction where the base is assumed to be fixed. The present study presents the soil structure interaction and ambiguity effects in soil properties such as Poisson’s ratio of the multy storied framed structure in three different types of soil, namely soft, medium and hard soil with fixed and flexible base considering soil structure interaction. In this paper, a model of G+10 storey building with fixed and flexible base considering raft foundation was analysed using SAP2000. From the analysis, it was observed that the results of lateral displacement, storey displacement, base shear, moment values and the time period were on higher side in the flexible base considering soil structure interaction. The requirements of considering soil structure interaction during design of structure can be understood.
RELIABILITY OF STRUCTURES DURING THE CONSTRUCTION DEWATERING AS A BIM TASK
Authors:   Ural Federal University, Ekaterinburg, Russia, Karlova E. V. , Yamov V. I. ,   Ural Federal University, Ekaterinburg, Russia
Published: November 2022

Determination of the dynamics of the groundwater level is one of the most important tasks, without the solution of which it is impossible to reliably estimate the reliability and durability of the projected building. In this article, the concept of applying information modeling technologies for obtaining a reliable "building-ground" system is proposed, which allows modeling the position of the groundwater level.
MODERN MATERIALS AND TECHNOLOGIES OF INDUSTRIAL WASTEWATER TREATMENT
Authors:   Ural Federal University, Ekaterinburg, Russia, Anikin Y. V. , Shilkov V. I. ,   Ural Federal University, Ekaterinburg, Russia
Published: November 2022

The article substantiates the necessity of using modern materials and technologies for purifying industrial wastewater, because the problem of processing waste products of galvanic production of machine-building enterprises is very important. The current situation in this area leads to environmental pollution by hazardous substances (CN–, Cr6+, F–, Cd2+), irrational use of raw materials and significant economic losses. Investigation of ways out of it is an urgent task. The results of a study of water supply and wastewater treatment problems are analyzed, i.e. the authors analyze the processing of technological solutions and wastewater, emphasizing the possibility of extracting valuable components and returning purified water to production. The authors propose to use hydrogen peroxide and hydrazine as a reagent for the extraction of metals at low salinity process water. An integrated approach to the analysis of the use of reagents, materials and technologies of wastewater treatment of industrial enterprises is proposed.
Effectiveness of Online Height Measurement Training for Parents
Authors: Yuniarti Fitri , Zuhairini Yenni , Rinawan Fedri Ruluwedrata
Published: November 2022

Background: The incidence of stunting in Indonesia is high (30.8%), therefore, regular monitoring of children’s height growth is needed. However, during the Covid-19 pandemic, the health service’s checks are limited, as well as schools as a potential place to monitor children’s growth are closed.  This study aimed to assess the effectiveness of online height measurement training for parents.Methods: This was a quantitative research with one group pre-and post-intervention design. It was conducted in a rural area in West Java, from August to November 2021. The parents of school students were included with a purposive sampling method. The training media was in the form of height measurement videos. The assessment of parents’ skills was an online check sheet with a Likert scale of 1–5 using the Whatsapp application. Analyzes were performed with the Paired T-Test.Results: In total, 86 parents were included, all of whom were mothers with the majority (51.2%) age range of 36–45 year. Parental education varied with most elementary school graduates (27.9%). Most mothers did not work (59.3%). As for the students, the majority were female students (60.5%) between 6–9 years old. The skill score before and after training was effective (d=2.04; p=<0.001).Conclusion: Online height measurement training using video has high effectiveness in improving parents’ skills to self-practice measurement at home.
Clinical Signs in Allergic Rhinitis Patients at Dr. Hasan Sadikin General Hospital Bandung 2017-2021
Authors: Wibowo Exel Billy , Dermawan Arif , Sudiro Melati
Published: November 2022

Background: The clinical diagnosis of allergic rhinitis requires comprehensive data from the history and physical examination. Despite being a substantial component of the diagnosis for allergic rhinitis, there is a paucity of studies about clinical signs of allergic rhinitis in Indonesia. This study aimed to describe the clinical signs in allergic rhinitis patients at Dr. Hasan Sadikin General Hospital Bandung.Methods: This cross-sectional study was conducted at Dr. Hasan Sadikin General Hospital Bandung in 2021, including secondary data of patients with allergic rhinitis from medical records registered from 2017 to 2021. Data of the characteristics, clinical signs, and allergic rhinitis comorbidities were collected and presented in tables.Results: The most common clinical sign was turbinate hypertrophy (74%), followed by pale nasal mucosa (59%) and clear nasal discharge (59%). The most prevalent comorbidities were chronic rhinosinusitis, adenoid hypertrophy, and asthma.Conclusions: The clinical signs observed from allergic rhinitis patients may vary, with the most common findings, including nasal turbinate hypertrophy, pale nasal mucosa, and clear nasal discharge. The findings may help the clinicians to diagnose allergic rhinitis needed for therapy management.
Validation Process of a Work Engagement Scale for the Brazilian Population
Authors: Martins Paulo Cesar Porto , Machado Pedro Guilherme Basso
Published: November 2022

Abstract The objective of this study is divided into two parts: the first part aimed at presenting the process of translation and adaptation of Porto-Martins and Benevides-Pereira's (2008) version of the Utrecht Work Engagement Scale (UWES); the second part focused on the validation of the instrument considering samples from five distinct and independent studies, with N=1,934. The adaptation process was composed of 13 steps, which included, among other steps, translation and back translation. Descriptive, reliability and confirmatory factor analyses were performed. The results denoted statistical quality and agreement with the data in the official UWES manual. Therefore, the validity of the corresponding version of the UWES is concluded, and future studies are encouraged in order to solidify this relevant construct in the national context.
Processo de Validação de Escala de Engajamento no Trabalho para População Brasileira
Authors: Martins Paulo Cesar Porto , Machado Pedro Guilherme Basso
Published: November 2022

Resumo O objetivo deste estudo é dividido em duas partes: na primeira, visou-se expor o processo de tradução e adaptação da versão de Porto-Martins e Benevides-Pereira (2008) do Utrecht Work Engagement Scale (UWES); na segunda parte, focou-se a validação do instrumento, considerando amostras de cinco estudos distintos independentes, com N=1934. O processo de adaptação foi composto por 13 passos, que incluíram, entre outras etapas, tradução e back translation. Foram realizadas análises descritivas, de confiabilidade e fatoriais confirmatórias. Os resultados denotaram qualidade estatística e consonância com os dados do manual oficial do UWES. Conclui-se, portanto, a validade da respectiva versão do UWES, assim como instigam-se futuros estudos, a fim de solidificar esse relevante constructo no contexto nacional.
As Escalas de Bem-Estar Infantil (EBI): Características Psicométricas da Versão Portuguesa
Authors: Nunes Cristina , Ayala-Nunes Lara , Ferreira Laura Inês , Martins Cátia
Published: November 2022

Resumo Em Portugal, existe escassez de instrumentos aferidos para avaliar os programas de proteção da infância. Este estudo analisou as características psicométricas das Escalas de Bem-Estar Infantil (EBI), destinadas à avaliação multidimensional de potenciais situações de maltrato e negligência, em 276 famílias em risco psicossocial. Foram também recolhidas medidas de eficácia, satisfação e sintomatologia parental. A análise fatorial exploratória sugere uma estrutura com três fatores, similar à versão original, com boa consistência interna (α entre 0,82 e 0,86) e bons indicadores de ajustamento (GFI = 0,97, RMSR = 0,06). Relativamente à validade de construto, foram encontradas correlações significativas que correspondiam à expectativa teórica. Os resultados sustentam a aplicabilidade das EBI para a avaliação e tomada de decisão nas medidas de proteção da criança.
Características Estruturais e Funções das Redes Sociais Significativas de Mulheres Ex-Abrigadas
Authors: Krenkel Scheila , Moré Carmen Leontina Ojeda Ocampo
Published: November 2022

Resumo O objetivo deste estudo qualitativo foi compreender as características estruturais e funções das redes sociais significativas de mulheres que sofreram violência, após a passagem por uma casa-abrigo. Participaram seis mulheres que haviam sido acolhidas numa casa-abrigo da região Sul do Brasil. Para coleta de dados, utilizou-se a entrevista semiestruturada e o Mapa de Redes. A organização e análise dos dados ocorreram com base na Grounded Theory e contou com o auxílio do software Atlas.ti 7.0. Observaram-se redes de tamanho médio e grande, com maior grau de proximidade afetiva e predomínio de membros da família. As principais funções foram apoio emocional e guia cognitivo e de conselhos. Destaca-se o empoderamento das participantes em reativar e ressignificar a qualidade do vínculo relacional com suas redes sociais significativas.
Asset diversification, financial well-being, quality of life, and mental health: a study in Brazil
Authors: Araújo Flávia Barbosa de Brito , Rogers Pablo , Peixoto Fernanda Maciel , Rogers Dany
Published: November 2022

ABSTRACT This study sought to investigate the relationship between diversification, financial well-being (FWB), quality of life (QoL), and mental health, and to see how FWB mediates this relationship, considering a sample of 1,047 Brazilian investors registered with the Brazilian Securities and Exchange Commission (Comissão de Valores Mobiliários [CVM]). In the national and international literature, no studies were found that sought to identify the mediating role of FWB between diversification, QoL, and mental health, as proposed in this study. This research may help brokers and financial institutions, allowing a new look at the profile of investors and their portfolios. It also widens the perspectives on studies of personal finance and mental health in Brazil and around the world. Mediation was conducted through structural equation modeling estimated by robust diagonally weighted least squares (RDWLS). ‘Asset classes’ was adopted as a proxy for diversification. For QoL, the World Health Organization Quality of Life (WHOQOL-100) scale was adopted, while the Beck inventories were used to measure mental health (depression and anxiety). For FWB, the measure of the Brazilian Credit Protection Service (Serviço de Proteção ao Crédito [SPC Brasil]) was used. The results showed a strong relationship between the FWB mediation between the diversification degree (asset classes) and the QoL and mental health scales (anxiety and depression). It was found that the diversification level is related to increased levels of anxiety and depression and decreased QoL in the short term, but when mediated by FWB, it decreases the anxiety and depression levels and increases QoL.
Diversificação de ativos, bem-estar financeiro, qualidade de vida e saúde mental: estudo no Brasil
Authors: Araújo Flávia Barbosa de Brito , Rogers Pablo , Peixoto Fernanda Maciel , Rogers Dany
Published: November 2022

RESUMO Este trabalho buscou investigar a relação entre diversificação, bem-estar financeiro (BEF) e qualidade de vida (QV) e saúde mental, e compreender como o BEF medeia essa relação, considerando uma amostra de 1.047 investidores brasileiros cadastrados na Comissão de Valores Mobiliários (CVM). Na literatura nacional e internacional, não foram encontrados estudos que buscassem identificar o papel mediador do BEF entre a diversificação e a QV e a saúde mental, como se propõe neste estudo. Esta pesquisa pode auxiliar corretoras e instituições financeiras, possibilitando um novo olhar sobre o perfil dos investidores e suas carteiras. Ainda, amplia as perspectivas sobre os estudos de finanças pessoais e saúde mental no Brasil e no mundo. A mediação foi realizada por modelagem de equações estruturais estimada por mínimos quadrados robustos ponderados na diagonal (robust diagonally weighted least squares [RDWLS]). Como proxy de diversificação, adotou-se “classes de ativos”. Para QV, adotou-se a escala World Health Organization Quality of Life (WHOQOL-100), enquanto para mensurar saúde mental (depressão e ansiedade) usaram-se os inventários de Beck. Para BEF, utilizou-se a medida do Serviço de Proteção ao Crédito (SPC) do Brasil. Os resultados apontaram forte relação de mediação do BEF entre o grau de diversificação (classes de ativos) e as escalas de QV e saúde mental (ansiedade e depressão). Constatou-se que o nível de diversificação está relacionado com o aumento dos níveis de ansiedade e depressão e com a redução da QV no curto prazo, mas, quando mediado pelo BEF, reduz os níveis de ansiedade e depressão e aumenta a QV.
Sharing, liking, surfing, and not studying! Cyberloafing by Accounting Sciences students
Authors: Meurer Alison Martins , Costa Flaviano
Published: November 2022

Abstract Guided by the possibility of the learning process being affected by cyberloafing behavior, this study analyzed the precedents and consequences of engagement in cyberloafing behavior by Accounting Sciences students based on personal use of the internet and technological devices in the classroom. There is little joint discussion about the precedents and consequences of this behavior, despite the diverse evidence of its importance and influence over the individuals’ different living environments. Thus, these variables represent a topic of interest to understand their effects over students. Cyberloafing behavior has been linked to academic performance, learning experiences, and the emotional state of students, and so it is pertinent to understand its precedents and consequences. The implications of the research are discussed in theoretical, practical, and social terms. The personal and conscious use of the internet and technological devices should be promoted in order to provide gains both at the individual and at the organizational level in the environment the student inhabits. Structural equation modeling was applied to 404 valid participations obtained through an online survey conducted with students from different regions of Brazil. The personal precedents, such as the need for contact with friends, exert a greater effect over cyberloafing behavior. The academic precedents, such as the quality of the materials used in the classes, also presented a significant relationship with cyberloafing behavior. The consequences related with cyberloafing consisted of arriving late to class and academic meetings, procrastinating in the execution of academic activities, and isolating oneself from friends and family. These elements show that cyberloafing is the result of the environment the individual inhabits and that it has different consequences in the student’s life.
PUNÇÃO VENOSA PERIFÉRICA E CONTRASTE NOS EXAMES RADIOLÓGICOS: REPRESENTAÇÕES SOCIAIS ANCORADAS NOS ESTRESSORES DE NEUMAN
Authors: Lemos Romanda da Costa Pereira Barboza , Arreguy-Sena Cristina , Melo Laércio Deleon de , Brandão Marcos Antônio Gomes , Braga Luciene Muniz , Krempser Paula
Published: November 2022

RESUMO Objetivo: discutir as representações sociais sobre a punção venosa periférica e o uso de meios de contraste de pessoas submetidas a exames radiológicos, referenciando-se no conceito de estressores. Método: pesquisa qualitativa, delineada na abordagem processual da Teoria das Representações Sociais, realizada com 57 usuários submetidos a exames de Tomografia Computadorizada e Ressonância Magnética em um Hospital Universitário de Juiz de Fora, Minas Gerais, Brasil. Realizaram-se entrevistas individuais em profundidade desencadeadas por questões norteadoras em janeiro de 2019. Os conteúdos das entrevistas foram transcritos na íntegra e realizou-se análise de conteúdo em três etapas (pré-análise, exploração do material e tratamento/interpretação dos resultados). A análise temático-categorial estabelecida a partir das dimensões e origens representacionais possibilitou a discussão dos achados ancorada nos conceitos de estressores, permitindo a identificação de três categorias baseadas nos estressores intrapessoais, interpessoais e transpessoais. Resultados: a punção e o exame foram representados pelas vivências individuais, grupais, com profissionais e ambiente terapêutico, classificados nas categorias: itinerário e concepções sobre punção e exames contrastados, com base em estressores intrapessoais; relações compartilhadas sobre a punção e o exame, fundamentadas em estressores interpessoais e vivências no ambiente terapêutico de um serviço de diagnóstico por imagem, a partir dos estressores transpessoais. Conclusão: as representações sociais foram significadas por exame, resultado e impactos na vida, retratando estressores alicerçados em imagens/sentimentos de dúvida e comportamentos positivos justificados racionalmente, que explicitam respostas humanas a conteúdos reificados, possibilitando a reestruturação do cuidado em saúde e em enfermagem.
SALUD GENERAL Y DISCRIMINACIÓN PERCIBIDA Y TEMIDA EN LA COMUNIDAD LGBT+
Authors: Ortega Quezada Iván Rodrigo , Pujol-Cols Lucas , Lazzaro-Salazar Mariana
Published: November 2022

RESUMEN Objetivo: analizar la relación entre la discriminación percibida y temida, y la salud general de personas LGBT+ de acuerdo a su nivel educativo, identidad de género y nivel socio-económico. Método: se realizó un estudio transversal y correlacional. La muestra constó de 120 personas participantes mayores de edad de la región del Maule (Chile), pertenecientes a la comunidad LGBT+, que respondieron una encuesta de manera virtual debido a la pandemia por SARS CoV-2. La encuesta también incluyó una pregunta abierta que proporcionó un espacio para que las personas participantes compartieran experiencias de discriminación con respecto al trato recibido del personal de enfermería. Los datos cuantitativos se examinaron mediante análisis descriptivos e inferenciales (pruebas de diferencia de medias y correlaciones). Los relatos extraídos se analizaron siguiendo técnicas de análisis temático y discursivo. Resultados: si bien la discriminación percibida tuvo una prevalencia baja en la muestra, un 44,17% expresó temor a no ser querido, 38,33% a no encontrar trabajo, y 32,51% a ser rechazado por su familia por ser parte de la comunidad LGBT+. Asimismo, la discriminación fue mayor en el grupo de personas trans y se reflejó principalmente en despidos injustificados, dificultades para encontrar empleo o maltratos en la provisión de servicios de salud. Finalmente, se encontró que las personas participantes expuestas a mayor discriminación también reportaron una peor salud general. Conclusiones: la discriminación es un problema que afecta a la comunidad LGBT+, particularmente al colectivo trans. Las serias implicaciones de la discriminación para la salud de las personas ponen de manifiesto la necesidad de diseñar estrategias, políticas y reglamentaciones tendientes a fomentar la tolerancia y la integración.
Consenso Abem para o ensino de comunicação nas escolas médicas brasileiras
Authors: Grosseman Suely , Hokama Newton Key , Cruvinel Agnes de Fátima Pereira , Franzoi Ana Cristina , Moura Eliane Perlatto , Muraguchi Evelin Massae Ogatta , Novaes Fernanda Patrícia Soares Souto , Raimondi Gustavo Antonio , Moura Josemar de Almeida , Torreão Lara de Araújo , Pereira Maria Amélia Dias , Philippi Miriam May , Oliveira Mônica da Cunha , Alves Rosana
Published: November 2022

Resumo: Introdução: A comunicação é uma competência essencial para o(a) médico(a) e outras categorias profissionais, e deve ser desenvolvida durante sua formação profissional. A elaboração de um projeto de comunicação, incluindo um consenso brasileiro, visou subsidiar as escolas médicas a preparar os estudantes de Medicina para se comunicarem efetivamente com os(as) cidadãos/cidadãs brasileiros(as), de características plurais intra e inter-regionais, pautando-se no profissionalismo e nos princípios do Sistema Único de Saúde (SUS). Objetivo: Este manuscrito apresenta o consenso para o ensino de comunicação nas escolas médicas brasileiras. Método: O consenso foi construído colaborativamente com 276 participantes, experts em comunicação, docentes, profissionais de saúde e discentes, de 126 escolas médicas e cinco instituições de saúde, ao longo de nove encontros presenciais em congressos e de encontros virtuais quinzenais ou mensais. Nos encontros, compartilharam-se as experiências dos participantes e o material bibliográfico, incluindo os consensos internacionais, e apresentou-se o consenso em construção, com discussão em grupos para elencar novos componentes para o consenso brasileiro, seguida por debate com todos para pactuá-los. A versão final foi aprovada em reunião virtual, com convite a todos(as) os(as) participantes em julho de 2021. Após submissão, diversas alterações foram requeridas, o que demandou novos encontros para revisão da versão final do consenso. Resultado: O consenso tem como pressupostos que a comunicação deve ser centrada nas relações, pautada nos princípios do SUS, na participação social e no profissionalismo, e embasada nas Diretrizes Curriculares Nacionais do curso de graduação em Medicina, em referenciais teóricos e nas evidências científicas. São descritos objetivos específicos para desenvolver a competência em comunicação nos estudantes, abrangendo: fundamentos teóricos; busca e avaliação crítica da literatura; elaboração e redação de documentos; comunicação intrapessoal e interpessoal no ambiente acadêmico-científico, na atenção à saúde em diversos contextos clínicos e na gestão em saúde. Recomenda-se a inserção curricular da comunicação do início ao final do curso, integrada a outros conteúdos e áreas de saber. Conclusão: Espera-se que esse consenso contribua para a revisão ou implementação da comunicação nos currículos das escolas médicas brasileiras.
Simulação hidrológica de biorretenção: análise de eficiência de técnicas compensatórias para mitigar impactos da urbanização
Authors: Azevedo Flavio Souza , Silva Geovany Jessé Alexandre da , Silveira José Augusto Ribeiro da , Barros Filho Mauro Normando Macêdo
Published: November 2022

Resumo A rápida urbanização das cidades tem gerado inúmeras consequências para os sistemas de drenagem de águas pluviais: aumento do escoamento superficial, piora da qualidade das águas subterrâneas e de sua escassez, causando inundações e afetando a saúde da população urbana. Uma alternativa para mitigar esses efeitos adversos é a inserção de práticas de low impact development, tais como pavimentos permeáveis, telhados verdes e células de biorretenção. Utilizando o modelo computacional Hydrus-1D, foi realizada uma simulação dos fluxos de água em meio poroso similar ao que ocorre em uma biorretenção, com dados de amostras de solo de uma área localizada em João Pessoa (PB). A infiltração do solo foi avaliada em ensaios de campo com o uso do infiltrômetro modificado Philip-Dunne. Parâmetros de desempenho hidrológico de um sistema de biorretenção foram investigados variando-se a altura de perfis de solo (100, 120, 130 e 150 cm), a profundidade de retenção na superfície (10, 20 e 30 cm) e a duração da chuva (20 e 60 min). Os resultados da simulação demonstraram que os melhores benefícios hidrológicos foram obtidos com chuvas de menor duração, com redução do pico de fluxo e do escoamento superficial de 100% para retenções de 20 e 30 cm.
Microrganismos e lodo de esgoto compostado no desenvolvimento inicial de mudas de baru em vasos
Authors: Silva Philippe Solano Toledo , Prates Adrielle Rodrigues , Fernandes Dirceu Maximino , Cassiolato Ana Maria Rodrigues , Maltoni Katia Luciene
Published: November 2022

RESUMO O cerrado brasileiro apresenta grande diversidade de plantas e solo ácido com reduzida disponibilidade de certos nutrientes, como fósforo (P). Adição de resíduos orgânicos e microrganismos poderia ajudar no estabelecimento de plantas nesse ambiente. O objetivo do trabalho foi avaliar o desenvolvimento inicial de mudas de baru (Dipteryx alata), por meio da disponibilidade de nutrientes (como P) pela adubação com lodo de esgoto compostado (LODO) com bagaço de cana-de-açúcar (1:1) e inoculado com Bacillus subtilis e fungo micorrízico arbuscular (FMA) Glomus clarum. Os experimentos foram conduzidos em casa de vegetação, com delineamento experimental em blocos casualizados, em esquema fatorial 2 × 4, sendo: LODO (com e sem) e inoculação (1 = controle; 2 = B. subtilis; 3 = G. clarum; 4 = B. subtilis + G. clarum), com cinco repetições e uma muda por vaso. Transcorridos 150 dias do transplantio das mudas, avaliaram-se massa fresca e massa seca da parte aérea; diâmetro do colmo; altura de plantas; número de folhas; índice de qualidade de mudas; massa fresca e seca, área de superfície, volume, comprimento total e diâmetro médio das raízes; colonização radicular (COL) e número de esporos de FMA; COL por endofíticos septados melanizados (DSE) e carbono do CO2 (C-CO2) liberado. O baruzeiro mostrou-se uma espécie pouco exigente em adubação, mas responsiva à inoculação, mostrando incrementos para massa fresca, área de superfície, volume e comprimento total de raízes. A inoculação com G. clarum elevou o número de esporos e a taxa de C-CO2 liberado no solo, enquanto G. clarum e B. subtilis aumentaram a COL por FMA e DSE.
Índices de geração de resíduos sólidos em uma obra portuária
Authors: Geraldo Filho Paulo Roberto , Erbs Alexandre , Romano Cezar Augusto , Carvalho Karina Querne de , Nagalli André
Published: November 2022

Resumo A indústria da construção civil é uma das maiores consumidoras de recursos naturais. Por se encontrar em ambiente marinho, por sua magnitude e por sua produção elevada de resíduos da construção civil, obras portuárias possuem potencial poluidor, e a literatura técnico-científica sobre o assunto é incipiente. O objetivo desta pesquisa foi analisar índices de geração de resíduos sólidos durante a construção de um porto. Realizou-se o acompanhamento por 20 meses da gestão de resíduos sólidos ocorrentes na obra do Porto Dom Pedro II, em Paranaguá (PR). Por meio da avaliação aplicável à gestão de resíduos e de medições em campo, o processo de gestão dos resíduos sólidos foi caracterizado quanto aos agentes envolvidos, à origem, ao tipo, à quantidade, à taxa de geração, ao reúso e à destinação final. Foi avaliada a eficiência do processo de gerenciamento, e obtiveram-se índices de geração per capita e por área e de aproveitamento de resíduos. A composição, em massa, dos resíduos sólidos gerados na obra foi: sucata metálica (48%), sucata de madeira (29%), resíduo orgânico (10%), resíduo reciclável (8%) e resíduos perigosos (4%). Os indicadores de geração de resíduos mensais per capita foram calculados em: resíduos orgânicos (12,75 kg), ambulatoriais (8,14g), resíduos perigosos (5,33kg), copos plásticos (70,5 unidades) e equipamentos de proteção individual (3,89 unidades). Quanto à área construída, a geração média mensal de resíduos foi calculada em 0,35 kg/m2 (resíduos perigosos), 3,51 kg/m2 (madeira), 7,5 kg/m2 (sucata metálica) e 0,97 kg/m2 (orgânicos). Além do mapeamento de oportunidades de melhoria, os índices de geração e de aproveitamento calculados podem ser utilizados na gestão de resíduos da construção civil de obras semelhantes.
ANÁLISE DAS PERCEPÇÕES DE TILS QUANTO À ATUAÇÃO NO ENSINO REMOTO
Authors: Sansão Welbert Vinícius de Souza , Cruz-Santos Anabela
Published: November 2022

Este artigo objetiva analisar as percepções de tradutores e intérpretes de Libras/Língua Portuguesa (TILS) quanto à atuação e aos processos tradutórios frente ao período pandêmico no Brasil. O estudo trata-se de uma pesquisa quanti-qualitativa, no qual foi confeccionado um questionário no Google Forms dirigido aos TILS atuantes no ensino remoto no Brasil. O questionário foi divulgado online nas redes sociais de contato dos centros de capacitação de profissionais da educação e de atendimento às pessoas com surdez (CAS), federações de TILS e associações de surdos a fim de conseguirmos o maior alcance possível aos participantes alvo deste estudo. Para tanto, responderam 58 participantes ao pedido de participação no estudo. A partir dos dados analisados, verificou-se que houve transformações drásticas que refletem na atuação desses profissionais que incidem em três aspectos principais: (1) o (re)conhecimento da profissão e a formação dos TILS; (2) as transformações das atividades desempenhadas pelos TILS durante a pandemia; e (3) o lócus de trabalho no ensino remoto.
Theme-Relevant Truth Discovery on Twitter: An Estimation Theoretic Approach
Authors: Wang Dong , Marshall Jermaine , Huang Chao
Published: November 2022

Twitter has emerged as a new application paradigm of sensing the physical environment by using human as sensors. These human sensed observations are often viewed as binary claims (either true or false). A fundamental challenge on Twitter is how to ascertain the credibility of claims and the reliability of sources without the prior knowledge on either of them beforehand. This challenge is referred to as truth discovery. An important limitation exists in the current Twitter-based truth discovery solutions: they did not explore the theme relevance aspect of claims and the correct claims identified by their solutions can be completely irrelevant to the theme of interests. In this paper, we present a new analytical model that explicitly considers the theme relevance feature of claims in the solutions of truth discovery problem on Twitter. The new model solves a bi-dimensional estimation problem to jointly estimate the correctness and theme relevance of claims as well as the reliability and theme awareness of sources. The new model is compared with the discovery solutions in current literature using three real world datasets collected from Twitter during recent disastrous and emergent events: Paris attack, Oregon shooting, and Baltimore riots, all in 2015. The new model was shown to be effective in terms of finding both correct and relevant claims.
EigenTransitions with Hypothesis Testing: The Anatomy of Urban Mobility
Authors: Zhang Ke , Lin Yu-Ru , Pelechrinis Konstantinos
Published: November 2022

Identifying the patterns in urban mobility is important for a variety of tasks such as transportation planning, urban resource allocation, emergency planning etc. This is evident from the large body of research on the topic, which has exploded with the vast amount of geo-tagged user-generated content from online social media. However, most of the existing work focuses on a specific setting, taking a statistical approach to describe and model the observed patterns. On the contrary in this work we introduce EigenTransitions, a spectrum-based, generic framework for analyzing spatio-temporal mobility datasets. EigenTransitions capture the anatomy of the aggregate and/or individuals’ mobility as a compact set of latent mobility patterns. Using a large corpus of geo-tagged content collected from Twitter, we utilize EigenTransitions to analyze the structure of urban mobility. In particular, we identify the EigenTransitions of a flow network between urban areas and derive hypothesis testing framework to evaluate urban mobility from both temporal and demographic perspectives. We further show how EigenTransitions not only identify latent mobility patterns, but also have the potential to support applications such as mobility prediction and inter-city comparisons. In particular, by identifying neighbors with similar latent mobility patterns and incorporating their historical transition behaviors, we proposed an EigenTransitions-based k-nearest neighbor algorithm, which can significantly improve the performance of individual mobility prediction. The proposed method is especially effective in “cold-start” scenarios where traditional methods are known to perform poorly.
Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis
Authors: Zhang Jinxue , Hu Xia , Zhang Yanchao , Liu Huan
Published: November 2022

Microblogging systems such as Twitter have seen explosive use in public and private sectors. The age information of microbloggers can be very useful for many applications such as viral marketing and social studies/surveys. Current microblogging systems, however, have very sparse age information. In this paper, we present MAIF, a novel framework that explores public content and interaction information in microblogging systems to explore the hidden ages of microbloggers. We thoroughly evaluate the accuracy of MAIF with a real-world dataset with 54,879 Twitter users. Our results show that MAIF can achieve up to 81.38% inference accuracy and outperforms the state of the art by 9.15%. We also discuss some countermeasures to alleviate the possible privacy concerns caused by MAIF.
Targeted Interest-Driven Advertising in Cities Using Twitter
Authors: Anagnostopoulos Aris , Petroni Fabio , Sorella Mara
Published: November 2022

Targeted advertising is a key characteristic of online as well as traditional-media marketing. However, it is very limited in outdoor advertising, that is, performing campaigns by means of billboards in public places. In this work we propose a methodology for performing targeted outdoor advertising by leveraging the use of social media. In particular, we use the Twitter social network to gather information about users' degree of interest in given advertising categories and about the routes that they follow. Given an advertising category, we estimate the most promising areas to be selected for the placement of an ad that can maximize its targeted effectiveness.
Our House, in the Middle of Our Tweets
Authors: Tasse Dan , Sciuto Alex , Hong Jason
Published: November 2022

Twitter, Flickr, Instagram, and other public social media sites have inspired lots of analysis of public geotagged posts. In order to understand these posts, it is important to know where their authors live. Based on a study of 195 prolific Twitter users in the Pittsburgh area, and their ground truth home locations, we show that simple algorithms can find about 80% of people’s home addresses within 1 kilometer. We show why this is near the upper bound of feasibility, show that studying as few as 10 tweets can achieve almost the same results, and discuss implications for future social media analyses.
You Are What Apps You Use: Demographic Prediction Based on User's Apps
Authors: Malmi Eric , Weber Ingmar
Published: November 2022

Understanding the demographics of app users is crucial, for example, for app developers, who wish to target their advertisements more effectively. Our work addresses this need by studying the predictability of user demographics based on the list of a user's apps which is readily available to many app developers. We extend previous work on the problem on three frontiers: (1) We predict new demographics (age, race, and income) and analyze the most informative apps for four demographic attributes included in our analysis. The most predictable attribute is gender (82.3 % accuracy), whereas the hardest to predict is income (60.3 % accuracy). (2) We compare several dimensionality reduction methods for high-dimensional app data, finding out that an unsupervised method yields superior results compared to aggregating the apps at the app category level, but the best results are obtained simply by the raw list of apps. (3) We look into the effect of the training set size and the number of apps on the predictability and show that both of these factors have a large impact on the prediction accuracy. The predictability increases, or in other words, a user's privacy decreases, the more apps the user has used, but somewhat surprisingly, after 100 apps, the prediction accuracy starts to decrease.
Comparing Overall and Targeted Sentiments in Social Media during Crises
Authors: Vargas Saul , McCreadie Richard , Macdonald Craig , Ounis Iadh
Published: November 2022

The tracking of citizens' reactions in social media during crises has attracted an increasing level of interest in the research community. In particular, sentiment analysis over social media posts can be regarded as a particularly useful tool, enabling civil protection and law enforcement agencies to more effectively respond during this type of situation. Prior work on sentiment analysis in social media during crises has applied well-known techniques for overall sentiment detection in posts. However, we argue that sentiment analysis of the overall post might not always be suitable, as it may miss the presence of more targeted sentiments, e.g. about the people and organizations involved (which we refer to as sentiment targets). Through a crowdsourcing study, we show that there are marked differences between the overall tweet sentiment and the sentiment expressed towards the subjects mentioned in tweets related to three crises events.
Precise Localization of Homes and Activities: Detecting Drinking-While-Tweeting Patterns in Communities
Authors: Hossain Nabil , Hu Tianran , Feizi Roghayeh , White Ann Marie , Luo Jiebo , Kautz Henry
Published: November 2022

There has been an explosion of research on analyzing social media to map human behavior relevant to public health, such as drinking or drug use. However, it is important not only to detect the local regions where these activities occur, but also to analyze the degree of participation in them by local residents. We develop powerful new methods for fine-grained localization of activities and home locations using Twitter data. We apply these methods to discover and compare alcohol use patterns in a large city, New York City, and a more suburban and rural area, Monroe County.
Exploring Personal Attributes from Unprotected Interactions
Authors: Gundecha Pritam , Tang Jiliang , Hu Xia , Liu Huan
Published: November 2022

Research, so far, has shown that many personal attributes, including religious and political affiliations, sexual orientation, relationship status, age, and gender, are predictable providing users' interaction data. To address these privacy concerns, users on a social networking site like Faceboook are usually left with profile settings to mark some of their data invisible. However, users sometimes interact with others using unprotected posts (e.g., posts from a ``Faceboook page''). Although the aim of such interactions is to help users to become more social, visibilities of these interactions are beyond their profile settings and publicly accessible to everyone. The focus of this paper is to explore such unprotected interactions so that users' are well aware of these new vulnerabilities and adopt measures to mitigate them further. In particular, we ask - are users' personal attributes predictable using only the unprotected interactions? To answer this question, we design a novel problem of predictability of users' personal attributes with unprotected interactions. The extreme sparsity patterns in users' unprotected interactions pose a serious challenge for the proposed problem. Therefore, we first provide a way to mitigate the data sparsity challenge and propose a novel attribute prediction framework using only the unprotected interactions. Experimental results on Faceboook dataset demonstrates that the proposed framework can predict users' personal attributes.
Extracting Semantics from Random Walks on Wikipedia: Comparing Learning and Counting Methods
Authors: Dallmann Alexander , Niebler Thomas , Lemmerich Florian , Hotho Andreas
Published: November 2022

Semantic relatedness between words has been extracted from a variety of sources.In this ongoing work, we explore and compare several options for determining if semantic relatedness can be extracted from navigation structures in Wikipedia. In that direction, we first investigate the potential of representation learning techniques such as DeepWalk in comparison to previously applied methods based on counting co-occurrences. Since both methods are based on (random) paths in the network, we also study different approaches to generate paths from Wikipedia link structure. For this task, we do not only consider the link structure of Wikipedia, but also actual navigation behavior of users. Finally, we analyze if semantics can also be extracted from smaller subsets of the Wikipedia link network. As a result we find that representation learning techniques mostly outperform the investigated co-occurrence counting methods on the Wikipedia network. However, we find that this is not the case for paths sampled from human navigation behavior.
What Can Wikipedia Tell Us About the Global or Local Character of Burstiness?
Authors: Gandica Yérali , Lambiotte Renaud , Carletti Timoteo
Published: November 2022

In this communication we take advantage of the global covering character of Wikipedia dataset to analyze the dependence of the usual coefficients used to measure burstiness respect to language. Analyzing separately the patterns for single editors over several pages, we show several characteristics of the super-editors in the WP written in English, Spanish, French and Portuguese. We report for the first time the Burstiness and Memory effect coefficients, separately for the 4 WP’s, showing similitudes and differences for all the users respect to the super-editors, the exponent for their averaged inter-event activity and finally some statistical traces for their averaged monthly activity.
Revealing the Hidden Patterns of News Photos: Analysis of Millions of News Photos through GDELT and Deep Learning-based Vision APIs
Authors: Kwak Haewoon , An Jisun
Published: November 2022

In this work, we analyze more than two million news photos published in January 2016. We demonstrate i) which objects appear the most in news photos; ii) what the sentiments of news photos are; iii) whether the sentiment of news photos is aligned with the tone of the text; iv) how gender is treated; and v) how differently political candidates are portrayed. To our best knowledge, this is the first large-scale study of news photo contents using deep learning-based vision APIs.
Measuring Click and Share Dynamics on Social Media: A Reproducible and Validated Approach
Authors: Wang Lucy , Ramachandran Arthi , Chaintreau Augustin
Published: November 2022

Online social conversations have increasingly become the means to find and view information online. In contrast to traditional web surfing models, clicks from social media result from a series of endorsements subject to user memory, past behavior and intermittently divided attention. Understanding click dynamics allows us to leverage those facets to improve relevance, forecast traffic and better manage influence in information dissemination. Unfortunately, data on clicks – even in aggregate – remain proprietary and inaccessible to researchers and scientists in many disciplines. In our work, we aim to allow the study of clicks through a proxy, allowing analysts to fully study click dynamics on Twitter. We focus on the scope of a news content publisher with a large readership and a broad domain of topics. We validate one such proxy, clicks-per-follower (CPF), based on publicly accessible data. We develop a model to compute CPI from public data. We use this method to examine how sharing affects consumption on Twitter: our findings suggest that mass retweeting of a URL does not necessarily translate into a substantial increase in clicks.