bluuebunny/crossref_metadata_2025 huggingface dataset:
Análise da Malha Rodoviária Federal Brasileira Usando Parâmetros obtidos com o ensaio de FWD
Authors: CASTRO BRUNO MARQUES DE , ANHAIA EMERSON APARECIDO DE , GARCIA VICTOR LEANDRO CHAVES , CARVALHO GIULIA ARAÚJO , OLIVEIRA VICTOR HUGO DALOSTRO DE
Published: October 2024

O artigo tem como objetivo avaliar a condição estrutural da malha rodoviária federal sob administração do DNIT, fazendo o uso apenas de parâmetros obtidos com o ensaio não destrutivo do levantamento deflectométrico do FWD. Foram avaliados os resultados dos levantamentos de pavimento flexível levantados nos anos de 2020, 2021 e 2022, compreendendo a uma extensão de 53.292,8 km, equivalente a 266.464 pontos de ensaios espaçados a cada 200 metros. O artigo propõe uma análise da malha utilizando a norma DNER PRO-11/79 e o método proposto por Horak (2008), permitindo-se classificar a condição estrutural das rodovias, fazendo-se uma análise geral, regional e por estado. Os resultados indicaram que o cálculo com Horak apresentou resultados semelhantes aos da norma DNER PRO-11/79, onde foi encontrado que aproximadamente 19% da malha total analisada está em um estado classificado como Severo. A análise regional mostrou que o Nordeste tem o melhor desempenho estrutural, com 47% da malha no estado Seguro, enquanto a região do Norte tem a pior classificação, possuindo cerca de 39% de sua malha em um estado Severo. A análise individual dos parâmetros revelou que as camadas inferiores do pavimento, como a base e o sub-leito, possuem resultados melhores de desempenho do que as camadas mais superiores, como a camada de revestimento. Conclui-se que a avaliação de desempenho de pavimentos é uma tarefa complexa e que requer a análise de muitos parâmetros, tornando importante a realização regular de avaliações para identificar possíveis problemas e implementar medidas preventivas de manutenção, garantindo a segurança dos usuários das rodovias e a eficiência do transporte rodoviário como um todo.
ANÁLISE DO USO DA FIBRA DE PVA EM PAVIMENTO DE CONCRETO DE CIMENTO PORTLAND
Authors: FARIA VALÉRIA CRISTINA DE , HERCULANO ARTUR TEIXEIRA , PEREIRA CLAUDIA AZEVEDO , FOLGADO RODRIGO MAZIERO
Published: October 2024

O objetivo deste trabalho foi avaliar a trabalhabilidade da mistura de concreto de cimento Portland com adição de fibra de polivinil álcool (PVA) e as propriedades mecânicas deste concreto que foi aplicado em um trecho experimental de uma praça de pedágio localizada próxima a cidade de Inocência em Mato Grosso do Sul. A fibra de PVA é uma fibra sintética produzida a partir da resina de álcool polivinílico comercializada desde 1950 no Japão, primeiramente com o intuito de substituir o amianto no fibrocimento, sendo posteriormente usada como reforço no concreto e argamassa. Dentre suas principais características, a fibra de PVA apresenta alta resistência à tração, alto módulo, baixo alongamento, ótima aderência à matriz cimentícia, resistência alcalina, resistência ao UV e resistência à corrosão, além da baixa densidade em comparação a fibra de vidro e principalmente aço. As fibras atuam controlando a formação e propagação de fissuras, aumentando a ductilidade, conferindo resistência à tração após fissuração, aumentando a tenacidade e resistência à fadiga e impacto. Visto que os pavimentos são submetidos a grandes carregamentos provenientes de maquinário, pousos e decolagens de aviões de maneira contínua, o uso de materiais usados como reforço são comuns visando o aumento da durabilidade e redução da manutenção do mesmo. Após a construção do trecho verificamos que a adição da fibra de PVA não afetou a trabalhabilidade do concreto sendo bem sucedida a obra.
AVALIAÇÃO DA DEFORMAÇÃO PERMANENTE DE MISTURAS SOLO-RAP PELO ENSAIO DE MULTIESTÁGIOS
Authors: Costa Weiner Gustavo Silva , SANTOS ISABELA DE JESUS , Almeida Mario Sergio de Souza , ACHY ACBAL RUCAS ANDRADE , Caetano Mateus Ribeiro , PAULA GISANDRA FARIA DE
Published: October 2024

Quando um veículo passa sobre o pavimento, ele aplica uma carga na superfície que induz estados de tensões ao longo da profundidade das camadas desta estrutura. No entanto, o estado de tensão gerado em cada ponto das camadas geotécnicas do pavimento promove a ocorrência de deslocamentos, em que parcela deles se tornarão deformações permanentes, especialmente no caso do tráfego, onde as cargas são aplicadas repetidamente ao longo do tempo. Desta forma, torna-se crucial a realização do ensaio de deformação permanente em laboratório, com o objetivo de prever o comportamento dos materiais em campo e, assim, avaliá-los quanto à sua deformabilidade plástica. Diante disto, este trabalho tem por objetivo analisar a deformação permanente determinada com uso da metodologia de ensaios cíclicos do tipo Repeated Load Triaxial (RLT), conhecido como multiestágio, em misturas de solo com Reclaimed Asphalt Pavement (RAP), nos teores de 50% e 80% de RAP. O programa experimental realizado em laboratório consistiu na realização dos ensaios de caracterização geotécnica, mini-MCV e perda de massa por imersão, além dos ensaios dinâmicos de deformação permanente pelo método RLT. Os resultados demonstraram que o RLT é promissor para a seleção de materiais utilizados em pavimentação, carecendo de um maior número de testes comparativos para sua validação.
VALIDATION OF THE UNIVERSAL SIMPLE AGING TEST (USAT) TO SIMULATE THE SHORT-TERM AGING OF BRAZILIAN ASPHALT BINDERS
Authors: CARVALHO TALITA DE SOUZA , OSMARI PATRÍCIA HENNIG , FAXINA ADALBERTO LEANDRO
Published: October 2024

O envelhecimento do ligante asfáltico é um fenômeno intrínseco à sua utilização e é tipicamente dividido em curto e longo prazo. A fim de simular o envelhecimento em laboratório, submete-se uma pequena quantidade de asfalto a condições controladas em estufas específicas por tempos predefinidos. O procedimento mais adotado para simular o envelhecimento de curto prazo emprega a estufa de filme fino rotativo (Rolling Thin Film Oven – RTFO), ainda que apresente limitações. Como alternativa ao RTFOT, o procedimento Universal Simple Aging Test (USAT) foi criado sob a premissa de fornecer asfaltos que apresentam propriedades similares às obtidas por meio da técnica convencional de envelhecimento. Este estudo visa comparar as características reológicas de oito ligantes asfálticos envelhecidos a curto prazo por meio do RTFOT e de uma versão simplificada do USAT (STUSAT – envelhecimento de curto prazo pelo USAT). A similaridade entre os dois protocolos de envelhecimento foi avaliada por meio do grau contínuo em temperatura alta e do grau de desempenho dos asfaltos, em conjunto com os dados derivados do ensaio MSCR (Jnr a 3.2 kPa, Jnr,diff, e %R a 3.2 kPa). O balanço de massa foi utilizado como índice de envelhecimento adicional na comparação. Os parâmetros reológicos obtidos dos materiais envelhecidos a curto prazo no STUSAT apresentaram alta similaridade com os obtidos dos materiais envelhecidos no RTFOT, à exceção da perda de massa. Os dados também mostraram que o USAT de curto prazo tende a ser ligeiramente mais severo que o RTFOT. Os resultados globais mostram que o USAT de curto prazo provou ser capaz de produzir resíduos similares àqueles produzidos por meio do RTFOT convencional. Também foi identificada a necessidade de implementar alguns pequenos ajustes ao procedimento alternativo.
ANÁLISE COMPARATIVA DE SOFTWARES DE MODELAGEM DE TRÁFEGO APLICADO EM AMBIENTE URBANO
Authors: MARTINS CLEIDE MARIA MARIA , PORTO MARCELO FRANCO , SOUZA RAFAEL AUGUSTO SANTOS DE , SILVA MARINA VASCONCELOS DE PAULA E , BELEIGOLI BRUNA CRISTINA BELTRÃO SILVA
Published: October 2024

RESUMO Este estudo destaca a importância do planejamento urbano eficiente e da infraestrutura urbana para a implementação de cidades inteligentes. Ele se concentra na utilização de softwares de simulação de trânsito, InfraWorks, Aimsun e PTV Vissim – como ferramentas importantes para a tomada de decisões e planejamento de transporte urbano. A pesquisa foi realizada no Anel Rodoviário Celso Mello Azevedo, em Belo Horizonte/Minas Gerais, com o objetivo de apoiar um novo planejamento urbano na via. O estudo permitiu identificar padrões de circulação, tempos de viagem, congestionamentos e outros aspectos relevantes para a gestão do tráfego urbano. Os softwares foram avaliados em termos de eficiência e os resultados foram comparados. As simulações permitiram antecipar os impactos futuros na rede urbana viária e gerar gráficos comparativos dos resultados. Essas informações são determinantes para a elaboração de políticas de planejamento de transporte e infraestrutura viária na região estudada. O PTV Vissim se destacou como o mais completo, enquanto o Aimsun tem qualidade semelhante, mas com limitações. A vantagem do InfraWorks é sua facilidade de uso e integração com o BIM (Building Information Modeling), algo que falta nos outros softwares mencionados. Essa integração possibilita uma interação mais eficiente e detalhada com modelos de construção e planejamento.
IDENTIFICAÇÃO DE TRECHO RODOVIÁRIO COM ALTO ÍNDICE DE ACIDENTES E PROPOSTA DE SOLUÇÕES – ESTUDO DE CASO
Authors: RUSSO MARIA RACHEL DE ARAÚJO , PAIVA VICTOR
Published: October 2024

No Brasil, o transporte rodoviário é responsável pela movimentação de 90% dos passageiros e mais de 60% das mercadorias. Apesar da importância, a infraestrutura rodoviária está longe da ideal. A frota de veículos vem aumentando e, como consequência, surgem trechos críticos onde os índices de acidentes aumentam devido a inconformidades nos projetos justificadas pela viabilidade econômica. A identificação desses trechos é importante, pois apresentam elevado índice de fatalidade e resultam em altos custos de operação, de vida e de hospitalização, contrariando sua justificativa econômica. O método é simples a partir de uma abordagem prática da avaliação de segurança viária por ferramentas acessíveis e permite o emprego de softwares e dados disponibilizados pelos órgãos competentes. Desse modo, este artigo apresenta as etapas para identificação de um trecho crítico através da taxa de severidade, análise e definição dos pontos indutores de acidentes através de imagens de satélite. As correções sugeridas na geometria viária podem adequar o segmento às normas vigentes, promovendo aumento de segurança e redução de acidentes.
Análise de modelos de previsão de consumo de combustível em veículos a partir da irregularidade longitudinal do pavimento
Authors: RODRIGUES EDUARDA LEMOS , SILVA LEÔNIDAS AUGUSTO DA , OLIVEIRA ANDRIELE AMBROS DE , SCHERER RENAN GUSTAVO , PEREIRA DEIVIDI DA SILVA , Specht Luciano Pivoto , BUENO LUCAS DOTTO
Published: October 2024

De acordo com a Confederação Nacional dos Transportes (CNT, 2023), o Brasil apresenta a maior parte das suas rodovias com defeitos no pavimento. Isto se reflete numa má qualidade funcional que implica, a partir de determinada magnitude, na necessidade de intervenções no pavimento. Esta qualidade funcional pode ser determinada pela irregularidade longitudinal do pavimento, que além de avaliar a qualidade do rolamento, também permite verificar seu impacto no conforto dos usuários e nos custos operacionais dos veículos, como o aumento do consumo de combustível. Em vista disto, a presente pesquisa foi realizada com o objetivo de identificar e comparar modelos que estimam ao longo dos anos o consumo de combustível utilizando como um dos parâmetros a irregularidade longitudinal do pavimento, e verificar aquele mais adequado para esta previsão. Para a realização da pesquisa foi realizada uma revisão bibliográfica de literatura técnico-científica, a fim de organizar um conjunto de modelos que estimam o consumo de combustível considerando a irregularidade longitudinal do pavimento. Após, os modelos encontrados foram simulados com diferentes valores de IRI a fim de compará-los entre si. Com base nas simulações realizadas foi possível perceber que evolução do consumo de combustível previsto nas diferentes condições de IRI avaliadas diferem entre os modelos. Dentre os avaliados, o modelo do software HDM-4 foi o que manteve maior consistência entre as diferentes simulações realizadas.
PREVALÊNCIA DE ANTICORPOS ANTI-DIARREIA VIRAL BOVINA (BVDV) E ANTI-HERPESVÍRUS BOVINO TIPO 1 (BOHV-1) EM REBANHOS BOVINOS DA MICRORREGIÃO DE TERESINA, ESTADO DO PIAUÍ, BRASIL
Authors: Cardoso Júnior Francisco das Chagas , Oliveira Flávio de Sousa , Sousa Jaize Viana Ribeiro , Cardoso Nair Chaves Barbosa , Coelho Maria Eduarda Assunção , Oliveira Livia Gomes Marinho de , Silva Manuely Martins da , Carvalho Ana Luiza Bruno de , Cavalcante Tania Vasconcelos , Ribeiro Cláudia Pestana , Feitosa Júnior Francisco Solano , Tenório Taciana Galba da Silva
Published: October 2024

A Diarreia Viral Bovina (BVD) e a Rinotraqueíte Infecciosa Bovina (IBR) são doenças significativas que afetam bovinos globalmente, causando consideráveis perdas econômicas e reprodutivas. O BVDV, pertencente à família Flaviviridae e ao gênero Pestivirus, é notoriamente prejudicial à reprodução bovina e dissemina-se amplamente através de animais persistentemente infectados (PI). No Brasil, estudos indicam altas taxas de infecção pelo BVDV em várias regiões, destacando a dificuldade de erradicação do vírus, que também afeta os suínos. A IBR, causada pelo herpesvírus bovino tipo 1 (BoHV-1), é outra doença relevante, causando problemas respiratórios e reprodutivos. Este estudo, realizado na microrregião de Teresina, Piauí, analisou 420 amostras de sangue de bovinos para detectar anticorpos contra BVDV e BoHV-1. Os resultados mostraram prevalência de 21,2% para BVDV e 51,7% para BoHV-1, com todas as propriedades apresentando animais reagentes. Esses achados sublinham a necessidade de medidas sanitárias rigorosas para controlar a disseminação desses vírus, visando minimizar as perdas econômicas na pecuária local.
MORTALIDADE DE CABRITOS ASSOCIADA À INFESTAÇÃO POR PULGAS Ctenocephalides felis (Bouche, 1835) NA REGIÃO CENTRAL DO RIO GRANDE DO NORTE, BRASIL
Authors: Paiva Ruana Rafaela Lira Torquato , Santos Wanderson Lucas Alves dos , Silva Juliane Nayra Dantas , Figueirôa Luciana Veras de Aquino , Teófilo Tiago da Silva , Batista Jael Soares , Souto Erick Platiní Ferreira de , Pereira Josivania Soares
Published: October 2024

O objetivo deste trabalho é descrever um surto de mortalidade em cabritos, Capra aegagrus hircus Linnaeus, 1758, causado por infestação de pulgas no município de Lajes, Rio Grande do Norte, Brasil. Em maio de 2024, foi solicitado atendimento veterinário após a morte de sete cabritos. O rebanho era criado em sistema extensivo, mas os cabritos permaneciam confinados até três meses de vida. Os animais apresentavam inquietação, pruridos, mucosas pálidas e infestações por pulgas. Foram realizados exames hematológicos, identificação dos ectoparasitos no Laboratório de Parasitologia Animal, na Universidade Federal Rural do Semi-Árido (UFERSA), e avaliação anatomopatológica no Laboratório de Patologia Animal da mesma instituição. O exame hematológico apresentou acentuada anemia microcítica e hipocrômica com hematócrito 5% (ref: 24-45%), hipoalbuminemia e leucopenia por neutropenia. No exame interno do cadáver, observou-se sangue aquoso e claro, e acentuada palidez das vísceras presentes nas cavidades abdominal e torácica, além do encéfalo. Foi prescrito um tratamento com ivermectina 1% (1 mL/50 kg PV, dose única), ectoparasiticida tópico à base de deltametrina (1 mL por 1L, pulverização, uma vez por semana, 3 aplicações) e desinfecção das instalações com vassoura de fogo. A mortalidade cessou após três semanas. Com base em achados macroscópicos, hematológicos e parasitológicos, concluiu-se que a anemia crônica e choque hipovolêmico foi causado pela infestação por Ctenocephalides felis. A anemia crônica resultou do parasitismo intenso e espoliação sanguínea em cabritos recém-nascidos que apresentaram sinais de incoordenação e tremores, progredindo para coma e óbito. O aumento das temperaturas e a ineficiência na desinfecção promoveram a proliferação das pulgas. O estudo destaca a importância de diagnósticos precisos, sendo o primeiro relato de morte de caprinos por infestação de pulgas na região central do RN.
PREVALÊNCIA DE ANTICORPOS ANTI-PARAINFLUEZA BOVINA TIPO 3 (BPIV-3) E VÍRUS RESPIRATÓRIO SINCICIAL BOVINO (BRSV) EM REBANHOS BOVINOS DA MICRORREGIÃO DE TERESINA, ESTADO DO PIAUÍ, BRASIL
Authors: Cardoso Júnior Francisco das Chagas , Oliveira Flávio de Sousa , Sousa Jaize Viana Ribeiro , Cardoso Nair Chaves Barbosa , Coelho Maria Eduarda Assunção , Oliveira Livia Gomes Marinho de , Silva Manuely Martins da , Carvalho Ana Luiza Bruno de , Cavalcante Tania Vasconcelos , Ribeiro Cláudia Pestana , Feitosa Júnior Francisco Solano , Tenório Taciana Galba da Silva
Published: October 2024

O Vírus da Parainfluenza Bovina Tipo 3 (bPIV-3) e o Vírus Respiratório Sincicial Bovino (BRSV) fazem parte dos agentes patogênicos virais respiratórios responsáveis pelo Complexo Respiratório Bovino (CRB), além da ocorrência de infecções secundárias desencadeadas pela ação dos mesmos. Para o presente estudo foram coletadas aleatoriamente 420 amostras sangue de bovinos, em 14 unidades produtoras de bovinos nos municípios da Microrregião de Teresina, Piauí. As amostras foram submetidas a técnica de vírusneutralização, onde a ocorrência encontrada da infecção pelo bPIV-3 foi de 12,1% (51/420), já para a infecção do BRSV, os resultados encontrados foram de 11% (46/420) de animais reagentes. A partir dos resultados encontrados, é possível concluir que o Vírus da Parainfluenza Bovina Tipo 3 e o Vírus Respiratório Sincicial Bovino estão presentes na população de bovinos da Microrregião de Teresina.
Sensorineural hearing loss in post-COVID-19 patients
Authors: Kabil Shaimaa E , Behairy Reda , Sayed Mohammad , El Sharkawy Mohamed , Hassanin Houssam Eldin , Elsaeed Mahmoud , Yousef Ibrahim H , Ewis Ahmed M , Wahba Ahmed H , Omar Fawzy , Beshir Ahmed , Zaki Mohamed S H , Moursi Ashraf , Makboul Khaled , Kabil Ahmed
Published: October 2024

Background: Hearing loss (HL) is one of the most common chronic conditions after hypertension and arthritis. Mounting indices suggest that sensorineural hearing loss (SNHL) may be one of the adverse effects of severe acute respiratory syndrome coronavirus 2.

Objective: This work aimed at studying SNHL in post-COVID-19 patients, alongside with exploring the relationship between severity of the disease and degree of hearing disability.

Materials and methods: This prospective cross-sectional study was conducted at Al-Azhar University Hospitals, Cairo, Egypt. It included 100 post-COVID-19 patients selected according to the study inclusion and exclusion criteria. Pure tone audiometry was done to confirm the presence of HL and to determine its degree.

Results: Hundred patients with recent oncent hearing symptoms after documented COVID-19 infection were included. Males (71%) were more affected than females (29%). The most of our cases had bilateral moderate HL (45%). Tinnitus was the most frequently associated otological symptom (96.96%). The time of HL onset varied from days to weeks (55% had time onset between 11-30 days post-confirmed infection). Higher thresholds were detected in all frequencies of affected ears with more deterioration of hearing as frequencies increase. All degrees of HL were detected; mild, moderate, severe and profound. There was no significant correlation between severity of COVID-19 infection and severity of HL.

Conclusions: SNHL is one of the extrapulmonary complications of COVID-19. COVID-19 patients may develop hearing affection regardless the severity of the infection. It is recommended to assess hearing functions in patients after COVID-19 for early detection and proper management.
Enhancing learners’ self-regulated learning in physical sciences classrooms through formative assessment intervention strategies
Authors: Mngomezulu Halalisani , Ramaila Sam , Ramnarain Umesh , Dhurumraj Thasmai
Published: October 2024

Fostering self-regulated learning (SRL) in the context of physical sciences is crucial for promoting twenty-first-century learning skills and establishing a solid foundation for academic achievement among science students. In South African schools, the physical sciences curriculum holds significant importance, serving as a cornerstone for students’ educational development. This research aimed to investigate the effectiveness of formative assessment interventions in cultivating SRL among grade 10 physical sciences students. Utilizing survey methodology, quantitative data were gathered through questionnaires administered to 175 grade 10 physical sciences students selected purposively. The study utilized the self-regulatory skills scale, appropriately adapted to the specific context, with a model of self-regulated learning serving as the conceptual framework. Data analysis involved both descriptive and inferential statistics. The study revealed that implementing formative assessment practices in physical sciences classrooms effectively promotes students’ SRL behaviors. The findings underscored the positive impact of formative assessment practices as interventions in enhancing students’ SRL and improving academic performance. It is recommended that formative assessment strategies be integrated into teaching methodologies at the secondary level, offering valuable benefits to learners.
Racing to Justice
Authors: Powell john
Published: October 2024

Watch the book trailer for Racing to Justice Read an excerpt from the book Listen to an On Being podcast with the author: "Opening the Question of Race to the Question of Belonging"
Enhancing concrete sustainability by incorporating crushed ceramic tiles as a partial replacement for fine aggregate in concrete mixture
Authors: Ashwini Tiwari  , Ambrish Kumar Tiwari  , Abhay Kushwaha  , Akash Kumar Vaishya  , Shikhar Gupta  , Govind Kumar  , Shivendra Yadav
Published: October 2024

In this study, the possibility of partially replacing ceramic tiles with fine particles in concrete mixtures is investigated in order to increase the sustainability of concrete. Recycling and utilizing ceramic waste are essential because its disposal causes environmental problems. In this study, we examine how the amount of crushed ceramic tile affects many aspects of concrete, such as compressive strength, durability, and environmental impact. According to our research, adding crushed ceramic tiles to concrete reduces waste while also demonstrating promising outcomes in terms of strength and durability, making it a more environmentally friendly choice than using traditional fine aggregates. Utilizing ceramic waste in concrete production offers the opportunity to be cost-effective and environmentally sustainable, advocating for resource efficiency and eco-friendly construction practices. let's break down how we're going to carry out this project in simple terms. First, we'll gather all the materials we need, like regular concrete stuff and crushed ceramic tiles. Then, we'll mix them up in different ways to see what works best. After that, we'll make small samples and test how strong and durable they are. We'll repeat these tests a few times to make sure our results are reliable. Along the way, we'll keep track of everything we do, so we can explain it to others and make sure our project is solid.
Assessing the Grammatical Rules Proficiency among Polytechnic and Colleges of Education Students in Anambra State Using Evidence Centered Design Assessment
Authors: Chinenye O. Helen Abana  , Adeline Okeke  , IfeyinwaNkemdilim Obiokafor  , Peace A. Ike  , Amaka Evelyn Chidebe
Published: October 2024

Language assessment is a broad concern in Applied Linguistics because it focuses on the measurement and judgment of learners’ proficiency, and the efficiency of the learning practice used by the learners as well as the teaching method employed by language teachers. This research paper adopted Evidence Centered Design (ECD) as its theoretical framework to form the bedrock of this study. The ECD methodology is an assessment approach or design which underscores the central sole of evidentiary reasoning in assessment. ECD assessment deisgn is used in this study to explore the efficiency of Evidence Centered Design in the assessment of English language proficiency level of the Igbo speakers of 200 undergraduates from three polytechnics and one college of education in Anambra State, Nigeria. The study adopted qualitative and quantitative research design, primary and secondary source of data to help the researcher make predictions and judge the communicative competence of these learners by using diagnostic model of test to determine their interactive knowledge in the use of parts of speech. The study used simple percentage which is the statistical analysis acceptable in Language studies, to analyze the data collected from the questionnaire and the test. The findings from this study proved the validity of ECD assessment in determining language proficiency.
DIFFERENCE EQUATION FOR AUSTRALIAN SHEEP BLOWFLIES GROWTH
Authors: Gisbtarani J I , Setiyaningsih H , Huda M N , Solikhatun Solikhatun
Published: October 2024

The population of Australian sheep blowflies, Lucilia cuprina, in Australia is of concern to many researchers because it causes several problems. These problems occur in the sheep industry where there is a term "flystrike" in the industry. Flystrike is a fly attack on sheep that causes myiasis on the sheep's skin, affecting the quality and quantity of wool. In the worst cases, the sheep may die if not treated. This issue has attracted researcher to conduct a population control study of fly growth to suppress flystrike in the Australian sheep industry. In this paper, fly growth will be approached using a difference equation to better represent the industry’s situation. This equation will be analyzed using its approximate solution that is obtained through linearization of perturbation method, Cardano’s formula, and Galois solution’s method. By studying fly growth, Australian sheep farmers may find it easier to handle and prevent fly infestations using the solution.
MODELING HYPERTENSION DISEASE RISK IN INDONESIA USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND BINARY LOGISTIC REGRESSION APPROACHES
Authors: Chamidah Nur , Hendrawan Ardana Tegar , Ardiyanto Figo Surya , Hammami Martha Sayyida , Izzah Nurul , Hariadi Salsabila Niken
Published: October 2024

In the pursuit of the Sustainable Development Goals (SDGs), health-related challenges, especially hypertension, remain a significant global issue. The third goal of the SDGs aims to improve the quality of life and well-being of all individuals, but hypertension is a serious problem that can hinder these goals. Often referred to as the "silent killer" by the World Health Organization (WHO), hypertension is exacerbated by low awareness. Globally, more than 1.28 billion adults suffer from hypertension, with most cases in lower to middle-income countries, including Indonesia. Indonesia has an alarming rate of hypertension incidence, ranking fifth highest in the world. Riset Kesehatan Dasar (Riskesdas) 2023 and the Indonesia Family Life Survey (IFLS) are critical for understanding hypertension risk factors in Indonesia. The IFLS data, obtained from www.rand.org, includes observations from October 2014 to April 2015, totalling 85 observations. Despite being over 10 years old, this dataset was selected because it remains the most recent comprehensive data available from RAND, representing 83% of the Indonesian population. The IFLS is conducted every 7-8 years, with the next wave of data expected soon. Most studies on hypertension globally and in Indonesia use parametric regression methods. However, a research gap exists as no studies have used Multivariate Adaptive Regression Splines (MARS) on IFLS data to analyze hypertension risk factors. This study addresses this gap by comparing binary logit regression and MARS. The analysis shows the Apparent Error Rate (APPER) for MARS is 84.706%, while for binary logistic regression it is 80%, indicating MARS is better at classifying hypertension data in Indonesia. Using MARS offers a novel approach to understanding hypertension risk factors in Indonesia. Despite the data's age, it remains relevant as primary causes and risk factors for hypertension have not changed, making the findings valuable for current health policy and strategies.
CAUSALITIES OF MOTIVATION, SELF-RELATED BELIEFS, AND STUDENT ENGAGEMENT TOWARDS HIGH SCHOOL STUDENTS’ ACHIEVEMENT USING STRUCTURAL EQUATION MODELING
Authors: Riadi Alexander Joseph , Sukarsa I Komang Gde , Suciptawati Ni Luh Putu , Kencana Eka N
Published: October 2024

Students’ academic performances is an important factor as it affects students’ chances of higher education and job opportunities. While cognitive factor (e.g., intelligence quotient) plays a major role in students’ performances in academic environment, it does not guarantee students’ academic achievement. Instead, researches shows that non-cognitive factor can affects student performance as well. Three non-cognitive factor that will be researched in this study are motivation, self-related beliefs, and engagement. Using Structural Equation Modeling (SEM) as the method of choice to accommodate the study of the factors. 699 of students’ sample was taken from six public high school in Denpasar to conduct the research. SEM is used for its ability to analyze latent factors using measurement model and its ability to estimate multiple structural relation simultaneously. The model with a Goodness-of-fit (GFI) score of 0.981 confirms that Motivation does significantly directly affects student performances. Self-related beliefs and Engagement on the other hand significantly directly affects Motivation, hence the two constructs significantly indirectly affect student achievement.
PREDICTING LAND USE CHANGES USING MARKOV CHAIN ANALYSIS AND HIERARCHICAL ANALYSIS OF PUBLIC SERVICE CENTERS IN BANDA ACEH CITY
Authors: Rahmaniar Meutia Hanum , Rusdiana Siti , Zahnur Zahnur
Published: October 2024

The city of Banda Aceh, as the center of development in its region, is faced with a series of complex problems, one of which is the lack of optimal distribution of public service centers throughout the city. Banda Aceh City Central Statistics Agency (BPS) documents 2012-2022 and Banda Aceh City Spatial Plan (RTRW) documents 2009-2029 related to this research. Data in tabulated and descriptive form includes geographical conditions of the research area, land use area, types of facilities and their numbers, population, and distance between areas, and maps related to the research. This study aims to see land use conditions using the markov chain method and provide an overview of the public service center system of Banda Aceh City using the Scalogram method, centrality index, and gravity. Based on Markov chain analysis, land use predictions indicate that residential areas, offices and trade, tourism, worship, and sports facilities will continue to increase, while water bodies, green open spaces (RTH), and non-green open spaces (RTNH) will continue to decline. Predictions until 2039 show that conditions have begun to stabilize. Scalogram analysis takes into account hierarchy based on the type of facilities available, centrality index that calculates hierarchy based on many available facilities, and gravitational interaction that takes into account the strength of interaction between sub-districts shows that Kuta Alam District has the potential to become a major service center in Banda Aceh City. This sub-district has the most complete facilities, supported by the highest interaction value.
MODELING COOKING OIL PRODUCTION WITH CRUDE PALM OIL (CPO) PRICE USING TRANSFER FUNCTION
Authors: Kholijah Gusmi , Sormin Corry , Gusmanely.Z Gusmanely.Z
Published: October 2024

Indonesia is the largest palm oil producer in the world. However, Indonesia is currently experiencing a significant scarcity of cooking oil for the basic needs of the community. One of the causes of this problem is the high price of crude palm oil (CPO). The price of CPO affects the production of cooking oil produced by the cooking oil industry. CPO prices are released in the form of daily prices in the market which form a time series pattern that affects the production of cooking oil which is also produced daily in the industry. To forecast cooking oil production from CPO prices can be done with a transfer function model. The stages of analysis are forming an ARIMA model, processing input time series whitening, and output time series whitening. Checking white noise by plotting ACF αt, ACF βt. Make a CCF graph and determine the order (r,s,b). Estimate the first parameter of the disturbance series (nt) and identify the disturbance series (nt) in the ARIMA model. Next, perform a diagnostic check of the transfer function model by checking the cross-correlation between Xt & Yt and checking the autocorrelation of Xt and Yt for model feasibility testing. Then make an ACF graph of the transfer function model's residuals to test the model's suitability. The final stage is to select the best model based on the smallest AIC value, ensuring the accuracy of the selected model using MAPE value, and making predictions. As a result, the model for CPO price is an input series variable, and cooking oil production is an output series variable. However, the MAPE result was 100%, indicating that the model is not very accurate for this data. Nevertheless, by ignoring the result and continuing with the forecasting, this model shows that the forecasted values for cooking oil based on CPO price have increased from the form of the model obtained for the time data from 2013 to 2022.
COMPARATIVE ANALYSIS OF FUZZY TIME SERIES CHEN AND MARKOV CHAIN METHODS FOR FORECASTING ELECTRICITY CONSUMPTION IN MATARAM CITY
Authors: Nirwanto Nirwanto , Bahri Syamsul , Harsyiah Lisa
Published: October 2024

The consumption of electrical energy continues to experience fluctuations every month, and these fluctuations cannot be accurately predicted. This uncertainty can become a problem if not projected and planned effectively. Therefore, PT PLN (Persero) needs to be able to provide and distribute electricity supply in an appropriate amount. This research aims to forecast electricity consumption based on historical data from January 2016 to April 2023 using the Fuzzy Time Series Chen (FTSC) method and the Fuzzy Time Series Markov Chain (FTSMC) method. The results of this research show that the forecast for May 2023 using the FTSC and FTSMC methods are 136.878.489 kWh and 143.498.523 kWh, respectively, with MAPE values of 11.61739% and 4.85428%, respectively. Therefore, forecasting in May 2023 using the FTSMC method is better than the FTSC method because the MAPE value is smaller.
EFFICIENCY AND ACCURACY OF CONVOLUTIONAL AND FOURIER TRANSFORM LAYERS IN NEURAL NETWORKS FOR MEDICAL IMAGE CLASSIFICATION
Authors: Nafi'udin Fauzi , Pratiwi Hasih , Zukhronah Etik
Published: October 2024

In an era where information flow is moving at a rapid pace, image data processing is becoming increasingly important as technology advances, including in healthcare. Convolutional Neural Network (CNN) has been a common approach in image classification, but the larger the volume of data and the complexity of the task, the more expensive the computational cost of CNN. With the rapid growth in the amount of image data, efficiency in data processing is becoming increasingly important. In this study, the performance of neural network models using the convolution layer and Fourier transform layer in medical image data classification was compared. The results show that models with a Fourier transform layer tend to provide higher accuracy and better Area Under Curve (AUC) compared to models using a convolution layer. In addition, the model with the Fourier transform layer also shows faster execution time per epoch, which indicates efficiency in data processing. However, the convolution layer has an advantage in terms of model size, although it is not significantly different from the Fourier transform layer. In conclusion, the Fourier transform layer has an advantage in the classification of medical image data.
APPLICATION OF YATES METHOD FOR MISSING DATA ESTIMATION IN YOUDEN SQUARE DESIGN AND ANALYSIS
Authors: Hadiputri Ratna Melati , Alifaa Syifa Nayla , Arisanti Restu , Winarni Sri
Published: October 2024

The Youden square design is widely used in experimental research to control two sources of variability, but missing data can compromise the results. Addressing missing data is critical to maintaining the integrity and reliability of such experiments. This paper proposes to adapt the Yates method to handle missing data specifically in Youden square designs. We begin by outlining the structure of the Youden square design and the challenges posed by missing data. The Yates method, known for its robustness in estimating missing data, is adapted to fit this design. We demonstrate its effectiveness through simulations and real-world case studies. The simulation involved generating experimental data with one missing value, and the case study analyzed chemical process research with critical missing data points. The results show that the Yates method maintains statistical validity and improves data completeness compared to traditional methods. Its advantage lies in utilizing Youden's quadratic structure for more accurate estimation. This study highlights the Yates method as a solution to handle missing data, improving the quality and reliability of experimental research.
AVERAGE LINKAGE CLUSTERING METHOD AND MOLECULAR DOCKING STUDY ON DATE PALM (PHOENIX DACTYLIFERA L.) AS POTENTIAL ANTI-ANEMIA AGENT
Authors: Siswanto Siswanto , Rasyid Herlina , Ramadhani Nur Aliah , Caesar Nadia Nazwadiah , Sunusi Nurtiti , Zainuddin Zaraswati Dwyana
Published: October 2024

Anemia, characterized by blood hemoglobin (Hb) levels below the World Health Organization's (WHO) normal limit, remains a significant health concern. Date fruit (Phoenix dactylifera L.) stands out as an herbal plant boasting the highest iron content at 13.7 mg, suggesting its potential as an anti-anemia agent. This study aimed to explore the anti-anemia potential of active compounds in date fruit using average linkage clustering and validated using molecular docking. Compounds from dates were gathered via GC-MS analysis and online databases, totaling 145 compounds—50 from GC-MS and 95 from Knapsack and Dr. Duke databases. Additionally, 5 lead compounds served as positive controls for comparison. SwissADME online servers assessed the compounds' properties, serving as materials for the clustering method. The average linkage clustering method was employed, yielding an excellent dendrogram with a cophenetic correlation of 0.711. Notably, a total of 17 date fruit compounds are in the same cluster as the lead compounds. Molecular docking revealed 4 date palm fruit-derived compounds as potential PHD enzyme inhibitors, promising for anemia treatment. In conclusion, the average linkage clustering method and validation using molecular docking approaches highlight date fruit's potential as an alternative anemia treatment, showcasing the significance of interdisciplinary methodologies in drug discovery.
MODELING EMPLOYEE RESIGNATION USING A SEMIPARAMETRIC APPROACH COX PROPORTIONAL HAZARD
Authors: Sari Ni Wayan Widya Septia , Kurniawan Ardi , Ana Elly
Published: October 2024

Survival analysis is a research method that studies the duration individuals or experimental units endure against events like death, disease, recovery, or other experiences. This study employs a semi-parametric survival analysis model using the Cox proportional hazards regression method to identify factors such as age, gender, marital status, and education influencing how long employees stay with a company before resigning. The aim is to describe and interpret significant factors affecting employee resignation using the Cox Regression method. The results indicate that age significantly influences employee tenure. The average tenure is eight years. The probability of an employee still working at age 32 for up to eight years is 0.0057, while the likelihood for an employee who has worked more than eight years at age 32 is 0.9943. The study uses secondary data on the tenure of 521 employees, analyzed with the Cox proportional hazards regression method. The data, however, has limitations due to type III censoring, where some subjects leave observation, resulting in incomplete data. The study concludes that age significantly impacts employee tenure. Younger employees tend to explore career opportunities, while older employees seek stability, pension benefits, and a comfortable work environment.
PROSPECTIVE RESERVE AND FULL PRELIMINARY TERM RESERVE ON ENDOWMENT LAST SURVIVOR LIFE INSURANCE USING CLAYTON COPULA
Authors: Hasriati Hasriati , Nayunda Voundri Nindia , Sirait Haposan , Hasbiyati Ihda
Published: October 2024

Combined life insurance is a type of insurance that protects two or more people who are related by family and is divided into two, namely joint-life life insurance and last-survivor life insurance. The last survivor life insurance is a condition of life insurance that will continue if there is at least one of all insurance participants who is still alive and will stop if all insurance participants die. The insurance company has to pay the benefit to the heirs of the insurance participant. When a claim occurs, the insurance company must prepare the reserve fee. The purpose of this research is to determine the amount of premium reserve of endowment last-survivor life insurance using prospective reserve and full preliminary term reserve. Full preliminary term reserve is one of the modified premium reserve calculations from Zillmer Reserve. To determine prospective reserve and full preliminary term reserve using the initial life annuity, single premium, and annual premium. Whereas the initial life annuity is influenced by the combined life and death opportunity of the insurance participants. Furthermore, the combined life and death opportunity of insurance participants will be obtained from Clayton copula and to obtain the parameter of Clayton copula, Rstudio software is used. Based on the result, the value of prospective reserves and full preliminary term reserves has increased every year and prospective reserves produce a greater value than full preliminary term reserves. If the insurance company uses this reserve calculation, the reserve that the company must prepare will increase every year. This is useful for insurance companies in predicting the amount of reserves they must have.
HOW MANY SUBSETS WHICH THEIR OPERATIONS WITH A FIXED SUBSET CONTAIN AT LEAST ONE ELEMENT OF A GIVEN COLLECTION?
Authors: Huda Muhammad Nurul , Lestari Veni Rizki
Published: October 2024

We pose the following problem related to binary set operations on finite sets. Given a finite set . Let a binary set operation  and  be a non-empty collection of non-empty subsets of . For a fixed subset  of , where , how many subsets of  which their operation  with  contains at least one element of ?. In this paper, we give the solution of this problem, especially for the subsets of size , using the inclusion-exclusion principle, Corrádi’s lemma, and Bonferroni’s inequality. In this context, the problem is related to determining the degree of nodes in certain graphs, such as graphs constructed with the adjacency rule depends on  and the node set is a hypergraph.
PREDICTION SYSTEM FOR THE AMOUNT OF SUGAR PRODUCTION USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
Authors: Kamsyakawuni Ahmad , Sholihah Walidatush , Riski Abduh
Published: October 2024

Sugar is one of the staple foods most Indonesians use, so sugar production needs to be done optimally to meet people's needs. This research will design a prediction system for the amount of sugar production in PTPN XI PG Prajekan using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. ANFIS is a combined method of two systems, namely a fuzzy logic system and an artificial neural network system. This research consists of data collection, ANFIS system design, ANFIS training, ANFIS testing, accuracy calculation, and result analysis. The prediction system for the amount of sugar production is designed to predict the variable  which is the amount of sugar production in the year  using the input variables  (sugarcane harvested area in year ),  (amount of sugarcane in year ),  (average of yield in year ), and  (number of milling days in year ). The experiments in this research used variations of the type of membership function and the number of membership functions. The best model obtained in this research is a model with a difference between two sigmoidal membership functions and a product of two sigmoidal membership functions with a total of 2 membership functions for each input variable. Both models have the same Mean Absolute Percentage Error (MAPE) value, which is 1.79% in the training process and 4.82% in the testing process.
DYNAMICAL BEHAVIOR IN THE COMPETITIVE MODEL INCORPORATING THE FEAR EFFECT OF PREY DUE TO ALLELOPATHY WITH SHARED BIOTIC RESOURCES
Authors: Dewi Mifta Kharisma , Savitri Dian , Abadi Abadi
Published: October 2024

This research develops a mathematical model of a natural phenomenon, namely sea snails that can release toxins (allelopathy) so that non-toxic sea snails become afraid. In addition, toxic and non-toxic sea snails share biotic resources. Based on the existing phenomenon, the model of fear effect caused by allelopathy in the competitive interaction model with shared biotic resources will be studied. In this system, three equilibrium points are obtained: extinction point of prey, extinction point of predator, and coexisting point under certain conditions. Analysis of local stability at equilibrium points by linearization shows that all equilibrium points are asymptotically stable with certain conditions. Numerical simulations at the equilibrium point show the same results as the analysis results. Then, numerical continuity was carried out by selecting variation of the fear effect parameter for  Numerical continuity results show that changes in these parameters affect the population of toxic and non-toxic species, marked by the emergence of Transcritical bifurcations, Bifurcation occurs at  the first Saddle-Node bifurcation at  and the second Saddle-Node bifurcation at
DETERMINING THE OPTIMAL TEMPORARY WASTE DISPOSAL SITES IN THE ALANG-ALANG LEBAR SUB-DISTRICT PALEMBANG USING THE P-CENTRE LOCATION PROBLEM AND P-MEDIAN PROBLEM MODELS
Authors: Octarina Sisca , Armalia Divasanda , Suprihatin Bambang , Bangun Putra BJ , Cahyono Endro Setyo , Puspita Fitri Maya , Yuliza Evi , Indrawati Indrawati
Published: October 2024

The rapid development of Palembang City comes with an increase in population and a proportionate increase in waste. Providing Temporary Waste Disposal Sites (TWDS) with ideal locations is one way to address the waste problem in Palembang City. The location of the existing TWDS could be more regular and optimal. The problem of determining the optimal TWDS location can be solved by optimization science, as classified in the Set Covering Problem (SCP) model. The SCP model is divided into the -Center Location Problem and -Median Problem models. This study aims to determine the optimal locations for TWDS in the Alang-Alang Lebar Sub-District, Palembang City, by comparing the results of the p-Center Location Problem and p-Median Problem models. Initially, the Alang-Alang Lebar Sub-District had 33 TWDS. After formulating the Set Covering Location Problem and Maximal Covering Location Problem models, we obtain the optimal solution, which we then solve using the -Center Location Problem and -Median Problem models. Based on the results and discussion, the optimal TWDS can meet the demand of each village in the Alang-Alang Lebar Sub-District. The -Center Location Problem and -Median Problem models produce the same optimal TWDS, namely TWDS Pramuka 2 Street and around, TWDS Colonel Sulaiman Amin Street, TWDS Talang Kelapa Ujung, and TWDS Beside Soekarno Hatta Street. This study recommends using both models to determine the optimal TWDS.