bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiculturalism in Indonesia: How Does Literature Affect the Development of Diversity?
Authors: Wibowo Arif Prasetyo , Sadeli Elly Hasan , Pamungkas Onok Yayang , Irawan Dedy , Muryaningsih Sri , Faridli Efi Miftah
Published: October 2023

Objective: Multiculturalism serves as the root cause of social divisiveness worldwide, including in Indonesia. Meanwhile, literature is often regarded as a medium for cultivating multiculturalism among the populace. Therefore, this research seeks to examine the literature's role in fostering awareness of multiculturalism in Indonesian society.

 

Method: The research employs the survey method. The research instrument utilizes a questionnaire containing inquiries pertaining to the comprehension of multiculturalism. The respondents' data amounts to 382. The data source is an online survey platform disseminated through Google Forms.

 

Results: Literature is crucial in enhancing the understanding of multiculturalism within Indonesian society. It broadens horizons to appreciate differences and contemplate the values of diversity. Furthermore, literature facilitates intercultural dialogue and awareness of societal pluralism. Despite encountering challenges, literature also harbors significant opportunities to assume a greater role in advancing the comprehension of multiculturalism in Indonesian society. Hence, it is imperative to continuously support and promote literature, integrating it into education and public awareness to achieve an inclusive, tolerant, and diversity-respecting society.

 

Conclusions: Literature plays a crucial role in enhancing the understanding and appreciation of multiculturalism among the populace in Indonesia. It possesses a potent potential to shape an inclusive, tolerant, and mutually respectful society within an environment replete with diversity.
International Standards and Principles, Foreign Legislative Experience of Judicial Control in the Investigation Stage
Authors: Akhpanov Arstan , Ongarbaev Erkin , Tukiev Aslan , Omarbekova Madeniyet , Kulbaeva Maya
Published: October 2023

Objective: The article develops the idea of the need to implement the norms of international legal acts into national legislation, borrowing positive foreign experience in implementing the norms regulating judicial control. At the same time, it is noted that the introduction of international standards and principles into national legal mechanisms is possible only taking into account the peculiarities of the legal system and the legal system of the state.

 

Theoretical framework: A selective analysis of the implementation of judicial control in foreign countries (France, Germany, Austria, etc.) was carried out, similarities and differences from a similar system in the Republic of Kazakhstan were revealed.  The author, exploring the control powers of the court at the international level, tried to determine the importance of international standards and principles in ensuring the rights and legitimate interests of participants in criminal proceedings in the Republic of Kazakhstan.

 

Method: In the course of the research, a set of the following special methods was used: system-structural, formal-legal and logical analysis of the problem; expert assessment of the relevant norms of national legislation and practice of its application; interpretation of legal norms; comparative legal research; constructive-critical analysis of conceptual approaches to the problems under study; legal modeling of risks and costs of election as a prosecutor and the authorization by the investigating judge of measures of criminal procedural coercion.

 

Results and conclusion: Based on the comparative legal study of the norms of the criminal procedure legislation of Kazakhstan, France, Germany, England, Italy and Spain, it seems possible to note that judicial control has both similar and distinctive features. What unites these or other models is that the main purpose of judicial control is the protection, protection and restoration of the rights and freedoms of subjects of legal relations at the pre-trial stages of the criminal process.

 

Originality and value: One of the important signs of the rule of law, the construction of which is proclaimed by the Constitution of the Republic of Kazakhstan, is the exercise of judicial control over the preliminary investigation. Most of the member countries of the Organization for Economic Cooperation and Development (OECD) adhere to this vector of development of criminal procedure legislation. Currently, international standards and principles governing the protection, protection, restoration of human rights and freedoms accumulate the most progressive, successfully tested legal concepts, which were the natural result of the tendency to strengthen guarantees of the rights of participants in criminal proceedings.  The article is devoted to the problems of legal regulation of judicial control at the stage of preliminary investigation related to compliance with international standards.
POMAR EM ESCOLA RURAL: ESPAÇO DE APRENDIZAGEM E CONSCIENTIZAÇÃO AMBIENTAL NO MUNICÍPIO DE PARAGOMINAS, PARÁ
Authors: Coutinho Alessandra Lima , Da Silva Rosana Cardoso Rodrigues , Dos Santos Abimael Oliveira
Published: October 2023

Ações desenvolvidas no espaço escolar devem ser estimuladoras de sustentabilidade local e regional interferindo diretamente nos aspectos sociais e culturais. Nesse ínterim a escola com papel educacional, se faz necessário que motive as crianças a participarem de atividades multidisciplinares que desenvolvam a consciência de conservação do meio ambiente. Nesse sentido o objetivo do presente estudo foi de implantar um pomar frutífero didático em um terreno baldio da Escola Municipal de Ensino Fundamental Alegria do Saber, como espaço de educação multidisciplinar no município de Paragominas– PA. A pesquisa foi desenvolvida com a execução das seguintes etapas: Implantação do pomar (limpeza e preparo da área, análise do solo; escolhas das espécies; plantio e tratos culturais); Capacitação técnica de manejo do pomar escolar; Avaliação das ações. A comunidade escolar participou de todas as etapas da pesquisa. O espaço físico do pomar escolar com fruteiras, como produto gerado pela pesquisa do mestrado veio introduzir no projeto político-pedagógico da escola uma abordagem inter e multidisciplinar para os docentes, contribuindo para aprimorar as práticas pedagógicas e de educação plural na comunidade. Por fim, foi possível avaliar os impactos da criação do pomar junto aos docentes e discentes da escola, que se mostraram bastante interessados e estimulados em poder utilizar o espaço tanto para as atividades disciplinares, bem como para o atendimento da necessidade de diversificação na merenda escolar.
How Has the Digital Transformation Affected the Organization and Operation of a Business
Authors: Xiao Chenyu
Published: October 2023

With the continuous advancement of information technology (IT), the information era has arrived, whereby digital technologies “has transformed many aspects of everyday life[1]” and work, with business being one of the primary aspects as well. The digital transformations, which “take two primary shapes: digitalization and datafication,[2]” have fundamentally altered the development model of modern businesses, bringing about revolutionary enhancements to business organization and operation. The use of advanced technologies such as Artificial Intelligence (AI) has considerably boosted the efficiency of corporate management and decision-making processes. Besides, the use of telecommunication tools has promoted “the widespread shift to distributed work,[3]” making it significantly easier to conduct business across diverse jurisdictions. However, the adoption of information technologies in enterprises can also be detrimental. For example, incorporating AI into the decision-making processes within the boardroom may lead to slackness and negligence of the directors. On this basis, this essay will introduce the key characteristics of digital transformation and its impact on corporate governance. Furthermore, with respect to the drawbacks of sandbox, this essay proposed a disclosure-based regulatory framework.
La dinámica de la discordia en el bestiario de Georg Trakl
Authors: Durán Depaz Joseph
Published: October 2023

La obra poética del vate austríaco George Trakl (1887 – 1914) posee un singular bestiario marcado por la dinámica de la discordia. Este artículo busca dar cuenta de la visión de mundo que tiene el poeta a partir de la relación que tienen los animales que conforman su bestiario. En primer lugar, revisamos el concepto de bestiario a lo largo del tiempo para destacar el concepto empleado aquí. Luego, mencionamos algunos aspectos generales de la poesía de Trakl junto al tema de la discordia para entrar al asunto de su bestiario. Finalmente, analizamos los cuatro animales más relevantes, que conforman su imaginario animal, y la relación establecida entre ellos. Dicha investigación es derivada de la tesis de maestría de Escritura Creativa.
Konsep Creeping Expropriation: Interpretasi Majelis Arbiter di dalam Putusan ICSID Terkait Creeping Expropriation
Authors: Chandradevi Ayu Anezka
Published: October 2023

Terdapat dua macam ekspropriasi yaitu (1) Ekspropriasi langsung dan (2) Ekspropriasi tidak langsung. Ekspropriasi tidak langsung memiliki berbagai macam bentuk salah satunya adalah creeping expropriation yang jika diartikan secara harafiah adalah ekspropriasi perlahan-lahan. Dalam artikel ini permasalahan yang akan diangkat adalah terkait dengan pengaturan dari creeping expropriation baik ditinjau dari peraturan-perundang-undangan nasional maupun perjanjian investasi internasional. Selain itu, akan dilakukan analisis terhadap putusan-putusan ICSID terkait creeping expropriation untuk mencari tahu interpretasi majelis arbiter terhadap creeping expropriation. Metode penelitian yang digunakan adalah metode penelitian yuridis normatif dengan menelusuri data sekunder dan data primer. Hasil dari penelitian ini adalah bahwa tidak terdapat pengaturan spesifik dan rinci terkait dengan creeping expropriation yang disebabkan oleh sifat dari creeping expropriation yang kasuistis sehingga penafsiran atas putusan-putusan ICSID yang telah berkekuatan hukum tetap merupakan salah satu jalan yang dapat ditempuh untuk mengetahui lebih lanjut terkait konsep creeping expropriation.
Evaluation of Physiotherapists During The Coronavirus Pandemic in The Fields of Knowledge, Awareness and Attitude Regarding Pandemic
Authors: ERDOĞAN Rafet Umut , YURDALAN Ufuk
Published: October 2023

Purpose: It was aimed to determine the change in the knowledge, attitudes, and awareness of physiotherapists working in the field of cardiopulmonary physiotherapy and rehabilitation (PWCPR), and to investigate the burnout level of PWCPR and physiotherapists working in the other fields (PWOF).

Methods: The demographic and occupational information of the participants were recorded. The Knowledge, Awareness and Attitude Questionnaire, which was designed specifically for research, was administered only to PWCPR group, and The Turkish Adaptation of The Burnout Measure-Short Version (TA-BMS) was administered to all participants online via Google Forms. Data analysis was performed using SPSS 11.5 program. Significance level was measured to p
Realidade Virtual e Realidade Aumentada no Ensino de Biologia Celular: Um Relato de Experiência em Uma Escola na Amazônia
Authors: Pinheiro Letícia Maria de Moraes , Apurinã Antônia Laícha de Oliveira , Silva Charles Conceição da , Libório Filho João da Mata , Trindade Genarde Macedo
Published: October 2023

Este artigo apresenta um estudo realizado por acadêmicos do curso de Licenciatura em Computação do Centro de Estudos Superiores de Lábrea (CESLA/UEA), onde utilizou as tecnologias de Realidade Virtual e Realidade Aumentada para a interação dos alunos do 2º ano do ensino médio com os conteúdos relacionados à Biologia Celular, sendo possível analisar a aceitação das tecnologias como recurso didático no ensino de Biologia. A metodologia aplicada possui seis etapas: Revisão da Literatura, Proposta Inicial, Planejamento, Avaliação Didática, Validação do Estudo e Análise dos Resultados. Os resultados coletados apresentam indícios que foi possível alcançar o objetivo deste estudo.
Modelos de previsão de evasão tardia na graduação de uma universidade pública
Authors: Martins Caio Vinicius Monteiro , Lacerda Filipe Carvalho , Carmo Igor Procópio do , Silva Edmilson Vitorino Scovino da , Alves Tatiane Ornelas Martins , Gomes Johnny Moreira , Campos Ricardo Silva
Published: October 2023

A evasão estudantil representa um problema crítico para as instituições de ensino superior, pois seu orçamento é baseado no número de alunos matriculados. Além disso, a evasão é um problema ao mercado de trabalho, pois causa falta de mão de obra qualificada. Assim, este trabalho propõe modelos de previsão de evasão, especialmente a evasão tardia. Um banco de dados de 30.000 alunos foi usado para treinar algoritmos de aprendizado de máquina supervisionados. Seus desempenhos são então discutidos em termos de acurácia e f1-score.
Filolilu: um RPG para auxiliar o aprendizado da Filosofia Antiga
Authors: Medeiros Lucas Vinicius Dantas de , Araújo Livia Celita Lopes , Silva Francisco Genivan
Published: October 2023

O projeto "RPG Filosofia Antiga" utilizou um RPG digital nomeado Filoilu para ensinar conceitos de filosofia antiga a alunos do ensino médio. O jogo foi baseado em conceitos filosóficos da Grécia Antiga e permitiu que os alunos se envolvessem em tomada de decisão baseada nos ensinamentos de filósofos como Platão e Aristóteles. O RPG foi implementado em um ambiente virtual, onde os alunos participavam de narrativas baseadas em questões filosóficas como ética, política e epistemologia. Os resultados mostraram que o RPG foi uma ferramenta eficaz para promover o engajamento e a aprendizagem dos alunos. Os participantes melhoraram sua compreensão dos conceitos filosóficos e sua capacidade de aplicá-los em situações da vida real.
Desenvolvimento de Jogos por Alunos no Processo de Ensino Aprendizagem de Internet das Coisas
Authors: Hayashi Victor Takashi , Santoro Flávia Maria , Quiroz Victor B. A. Rossetti de
Published: October 2023

O ensino de Internet das Coisas (IoT) pode ser desafiador pois é uma tecnologia que utiliza conceitos de Eletrônica Analógica e Digital, Redes de Computadores, Programação em Microcontroladores e Desenvolvimento Web. Este artigo descreve um método para uso de jogos para fomentar o aprendizado em IoT, de forma a motivar um maior engajamento de alunos de graduação e um relato de experiência com 30 alunos para validar a abordagem.
Linguagem Visual para Arduino na Educação Básica como Possibilidade Metodológica
Authors: Sousa Rangel Gabiralba , Oliveira Claudir
Published: October 2023

Tem-se observado que o ensino da computação tem gradualmente sido incorporado na educação, ganhando mais espaço e proporcionando novas metodologias de aprendizagem por meio do uso de linguagens de programação. No entanto, ainda existem desafios no ensino e aprendizagem da programação, especialmente quando se trata da introdução desses conceitos. Os estudantes enfrentam dificuldades para compreender os conteúdos, além da complexidade dos ambientes de desenvolvimento utilizados. Diante desse contexto, este trabalho tem como objetivo apresentar possibilidades que facilitem a aprendizagem da programação por meio de uma abordagem visual, utilizando conceitos da robótica educacional voltados para alunos da educação básica.
Adoção de Cartões Impressos para auxiliar no ensino de Linguagem de Marcação
Authors: Inácio Everthon Manoel da Silva , Silva Kerven Kildhery , Lima Eliseu Salomão de , Pereira Weslley Francisco Leal , Ramos Lucas Matheus de Oliveira , Lima Yasmin Araújo de , Silva João Marcos Cosme da , Queiroz Mayrton Dias de
Published: October 2023

Nos dias atuais é possível notar a presença dos sistemas para web no cotidiano das pessoas. Assim, surge o desafio de preparar profissionais para que esses possuam a habilidade de desenvolver tais sistemas. Diante desse contexto, o objetivo deste trabalho consiste em identificar uma estratégia para auxiliar no ensino de linguagem de marcação de hipertexto HTML. Nesse trabalho, foram adotados os cartões impressos para apresentar as tags da linguagem de marcação. Com os cartões impressos, os alunos podem observar a estrutura das tags e como as mesmas facilitam a inserção dos elementos nas páginas html. Durante esse trabalho, foi possível realizar um experimento com os alunos de informática, onde os mesmos usaram os cartões impressos, assim, notou-se que essa estratégia teve uma boa aceitação entre os participantes.
A Importância do Uso das TICs Antes e Durante a Pandemia do COVID-19: A Visão dos Professores de uma Escola Pública Integral
Authors: Costa Pablo Silveira , Oliveira Ana Liz Souto
Published: October 2023

A partir da problemática do distanciamento social gerado pela COVID-19, este artigo tem como objetivo relatar como as TICs auxiliaram professores de uma escola pública na Paraíba antes e durante o ensino remoto emergencial (ERE). Para isso, realizamos coleta de dados utilizando quatro indicadores: Capacitação e Treinamentos, Execução das Atividades, Infraestrutura e Home Office. Os resultados mostram que todos os indicadores apresentam déficits, assim como constatamos à não adoção de ambientes virtuais antes do ERE. Porém, ressaltamos que o período de realização da pesquisa era de incertezas e a escola e os docentes adotaram as medidas que foram possíveis visando bem-estar de todos.
Desenvolvimento de um Jogo Digital Educativo para o Aprendizado de Geografia para Crianças com TDAH – Bilhar Geográfico
Authors: Alves Socorro Vânia Lourenço , Lima Celson Pantoja , Alves Enoque C. Melo
Published: October 2023

Este trabalho apresenta o processo de Design Centrado no Usuário (DCU) de um jogo digital denominado Bilhar Geográfico, desenvolvido para crianças com Transtorno de Déficit de Atenção, Hiperatividade e Impulsividade (TDAH). É um jogo digital educativo que usa a metáfora de um bilhar, explorando questões relacionadas ao conhecimento sobre estados e regiões brasileiras. Com o objetivo de ter uma visão holística sobre os requisitos do Jogo foram integradas no processo de DCU, mais 03 (três) dimensões de design do framework PACT (Pessoas, Atividades, Contextos e Tecnologias).
Avaliação de técnicas de balanceamento na classificação de aceitabilidade de carros
Authors: Ferreira Paiva Lucas , Mattos Allan Fernando Oliveira de , Silva Lucas de Assis , Avelino Juscimara Gomes , Cavalcanti George Darmiton da Cunha
Published: October 2023

A aceitabilidade de carros consiste em classificar um veículo com base nas suas características físicas e financeiras. Esse tipo de análise auxilia na aquisição, ou não, de um determinado modelo de automóvel. Neste estudo, o objetivo foi avaliar o impacto do uso de técnicas de subamostragem, sobreamostragem e uma combinação das duas técnicas em oito modelos de aprendizado de máquinas. Para cada técnica de balanceamento e modelo foi utilizado otimização de hiper-parâmetros e seleção de atributos. Os resultados obtidos neste estudo superaram o estado da arte para o SVM. Além disso, foi possível notar a melhora de modelos mais simples com o uso das técnicas de balanceamento.
A Comparative Analysis of Artificial Neural Networks on River Level Forecasting for the Rio Madeira Basin
Authors: Brandão João F. S. , Correa Francis Wagner Silva , Guedes Elloá B.
Published: October 2023

Este artigo apresenta uma análise comparativa de duas abordagens de Redes Neurais Artificiais para prever os níveis de cota dos rios usando dados de séries temporais de quatro estações hidrológicas na bacia do Rio Madeira. O estudo utiliza dados coletados entre 2001 e 2014 e emprega uma estratégia de validação com divisão da série temporal combinada com uma busca em grade por diversas topologias de redes. Os resultados revelam que as Redes Neurais Recorrentes LSTM apresentam uma leve vantagem de desempenho em relação às Redes MLP, embora ambas as abordagens demonstrem desempenho comparável na maioria dos cenários. A abordagem autorregressiva proposta para previsão de cota dos rios mostra-se viável, especialmente em situações com dados históricos limitados.
Ethics in AI: how software development companies in Brazil deal with the ethical implications of AI technologies
Authors: da Silva Lucas Gabriel Teixeira , Seno Eloize Rossi Marques
Published: October 2023

The use of AI technologies has become increasingly common in the software development industry. Although the ethical challenges of using these technologies have been the subject of numerous academic studies, little is known about AI software development practices. Furthermore, there are currently no effective methods and frameworks to help implement ethics at a project level. Given this context, we carried out an empirical study in order to better understand how software development companies in Brazil deal with the ethics of AI in practice. The results highlighted a lack of clarity in standard guidelines and a lack of concern about the ethical implications imposed by the use of AI technologies, suggesting that the governance of AI systems based on principled ethical guidelines is not enough to establish norms to the AI industry and its developers.
A Deep Learning Application for Psoriasis Detection
Authors: Milani Anna , da Silva Fábio S. , Guedes Elloá B. , Rios Ricardo
Published: October 2023

Nesse artigo é apresentado um estudo comparativo do desempenho de três modelos de Redes Neurais Convolucionais, ResNet50, Inception v3 e VGG19 para classificação de imagens de pele com lesões afetadas por psoríase. As imagens utilizadas para o treinamento e validação dos modelos foram obtidas em plataformas especializadas. Foram utilizadas várias técnicas para ajuste das métricas de avaliação das redes neurais. Os resultados encontrados sugerem o modelo Inception v3 como uma ferramenta valiosa para apoio ao diagnóstico de psoríase. Isso se deve ao seu desempenho satisfatório no que diz respeito à acurácia e F1-Score (97,5% ± 0,2).
Análise Comparativa entre Abordagens de Aprendizado de Máquina para Classificação Automática de Currículos de Profissionais de TIC
Authors: Pereira Renato Santos , Oliveira Hilário Tomaz Alves de
Published: October 2023

A triagem de currículos desempenha um papel crucial no recrutamento de talentos nas empresas. Contudo, lidar com um grande volume de currículos pode ser demorado e complexo. Com o objetivo de automatizar essa tarefa, diversos trabalhos têm explorado técnicas de processamento de linguagem natural e algoritmos de aprendizado de máquina. Nesse contexto, este trabalho apresenta uma análise comparativa de diferentes abordagens para a classificação automática de currículos de profissionais de Tecnologia da Informação e Comunicação (TIC). As abordagens investigadas incluem algoritmos tradicionais, modelos baseados em redes neurais profundas e modelos neurais de linguagem pré-treinados. Foram realizados experimentos utilizando um conjunto de 27.405 currículos, distribuídos em oito categorias relacionadas aos profissionais de TIC. Os resultados obtidos revelam que, de maneira geral, os modelos pré-treinados alcançaram os melhores desempenhos, especialmente, o modelo RoBERTa-base, que obteve resultados superiores a 93,00% em todas as medidas de avaliação utilizadas.
Machine Learning Algorithms to Estimate Composite Mechanical Properties
Authors: Gomide Janaina , Vignoli Lucas , Macedo Yuri
Published: October 2023

Structures made of composite materials have been implemented in several sectors such as transport, civil construction, maritime and aerospace. The focus of this study is unidirectional composites that have 5 independent properties. Obtaining these properties can be done experimentally, numerically and analytically. In this article we propose an alternative way to estimate these properties, using machine learning algorithms. The goal of this paper is to evaluate machine learning algorithms to generate the estimation of these 5 properties of composites. Experiments were carried out with two distinct data sets and the results obtained were satisfactory.
Decision Threshold Selection and Low-Pass Filter Application for Anomaly Detection with Sparse Autoencoder
Authors: Lira Maira Farias Andrade , Siqueira-Filho Elias Amancio , Prudêncio Ricardo Bastos Cavalcante
Published: October 2023

Técnicas de detecção de anomalias em equipamentos mecânicos podem antecipar falhas e evitar paradas ou manutenções corretivas não programadas. Novas técnicas de detecção, baseadas em aprendizado profundo e na disponibilidade de dados de monitoramento de sinais em tempo real fundamentam esse sucesso. Neste trabalho, investigamos o uso de Sparse Autoencoders (SAE) para detecção de anomalias online para manutenção preditiva em uma base de dados pública referente ao metrô da cidade do Porto. Avaliamos abordagens para cálculo dos limiares de decisão sobre o score de anomalia retornado pelo SAE e verificamos que a abordagem influencia fortemente as métricas de detecção. Também investigamos o uso de filtros passa-baixa para reduzir falsos alarmes e o impacto destes na detecção de anomalias reais. A aplicação do filtro passa-baixa após uma classificação preliminar de anomalias reduziu em até 5,5 vezes a taxa de falsos positivos quando comparada ao SAE sem filtro, porém também levou a redução da detecção de anomalias reais. Verificamos ainda que a utilização do filtro foi essencial para detectar sequências de anomalias.
Assessing U-Net Model Performance in Weather Radar-Based Precipitation Nowcasting: A Reflectivity Threshold Analysis
Authors: Rocha Rafael , Oliveira Ewerton , Carvalho Eduardo , Tedeschi Renata , Costa Claudia , Ferreira Douglas , Alves Ronnie
Published: October 2023

Severe weather events pose a global threat, causing property damage and endangering lives. Weather-related disasters account for 50% of all natural and technological disasters. The development of accurate prediction systems are crucial for early warnings and mitigation. The present study evaluates the effectiveness of the U-Net model in weather radar-based precipitation nowcasting, considering reflectivity thresholds. Visual comparison and evaluation metrics are used to assess observed and predicted reflectivity. The 10 dBZ threshold achieved a prominent result, accurately predicting over 75% of values above the reflectivity threshold. Results contribute to improving severe weather prediction and decision-making.
Integration of Epidemiologic, Socioeconomic, and Sociodemographic Indicators to Predict Early COVID-19 In-Hospital Outcomes
Authors: Matos Hetielle , Schmitt Artur Brenner , Zeiser Felipe André , Costa Cristiano André da , Ramos Gabriel de Oliveira
Published: October 2023

The COVID-19 pandemic is an unprecedented challenge for healthcare systems around the world. In Brazil, the COVID-19 pandemic affected the population differently. Sociodemographic and socioeconomic characteristics were important indicators of early access and quality of the health system. In this way, we combine epidemiological, socioeconomic, and sociodemographic data to predict in-hospital outcomes of COVID-19. The proposed approach utilizes models such as Random Forest, XGBoost, TabNet, and CatBoost, and employs Bayesian optimization for automatic hyperparameter selection. The results demonstrate that all models exhibit a relatively higher ability to correctly identify hospital discharge outcomes than mortality cases. However, XGBoost showed the best result, with a Precision of 0.72, Recall of 0.74, F1-score of 0.64, Accuracy of 0.74, and AUC of 0.83. The quantitative and qualitative results demonstrate that our method can effectively suggest high-quality in-hospital outcomes and demonstrate the possibility of using our methodology as a tool to assist healthcare professionals.
Improving crime prediction through ensembles
Authors: Pastor Ruam E. R. C. , Sales Jair P. de , C. Filho Adriano F. , de Mattos Neto Paulo S. G.
Published: October 2023

Prever crimes é um desafio devido à complexidade das séries temporais inerentes ao fenômeno de interesse, as quais costumeiramente possuem com componentes lineares e não lineares. Além disso, devido à presença de padrões temporais em constante mudança, a utilização de um único modelo pode resultar em previsões imprecisas. Neste contexto, este estudo propõe a modelagem e previsão de séries temporais de crimes utilizando tanto modelos únicos quanto ensembles, incluindo abordagens treináveis e não treináveis. Propõe-se, também, um método de combinação que envolve a seleção de um subconjunto de modelos únicos por meio de uma etapa de validação. Para o experimento, foram utilizadas séries de crimes de diferentes localidades, como Pernambuco, Chicago e Los Angeles. Com base nos resultados apresentados, observa-se que os modelos ensembles apresentaram melhor desempenho preditivo do que os modelos únicos utilizados. No entanto, em relação ao método proposto, concluise que a seleção de um subconjunto de modelos únicos com base na validação pode ser problemática quando os conjuntos de validação não são suficientemente representativos, seja devido ao número limitado de observações ou às características distintas em relação ao conjunto de teste.
Distributional Safety Critic for Stochastic Latent Actor-Critic
Authors: Miranda Thiago S. , Bernardino Heder S.
Published: October 2023

When employing reinforcement learning techniques in real-world applications, one may desire to constrain the agent by limiting actions that lead to potential damage, harm, or unwanted scenarios. Particularly, recent approaches focus on developing safe behavior under partial observability conditions. In this vein, we develop a method that combines distributional reinforcement learning techniques with methods used to facilitate learning in partially observable environments, called distributional safe stochastic latent actor-critic (DS-SLAC). We evaluate the DS-SLAC performance on four Safety-Gym tasks and DS-SLAC obtained results better than those reached by state-of-the-art algorithms in two of the evaluated environments while being able to develop a safe policy in three of them. Lastly, we also identify the main challenges of performing distributional reinforcement learning in the safety-constrained partially observable setting.
Bats, Spectrograms, and Deep Learning: Unmasking the Secrets of Mining Area Caves
Authors: Gonsales Arthur , Santos Vitor C. A. , Appel Giulliana , Trevelin Leonardo , Tavares Valeria , Alves Ronnie
Published: October 2023

Detecting and classifying bat species in mining region caves is crucial for ore extraction activities, environmental impact reduction, and worker safety. This study focuses on using bat echolocation call data collected by VALE, a mining company, to develop a deep learning-based system for species recognition. By applying transfer learning on a pre-trained MobileNetV2 model, the system achieved an impressive 95.21% accuracy in classifying spectrograms of bat echolocation calls from three different species. This outperformed other models tested. Implementing this system would enhance VALE's cave inspection processes, ensuring worker safety and bat population preservation in mining regions.
Computer or Paper?
Authors: Nepivodová Linda
Published: October 2023

The publication compares university students' compulsory English achievement tests written in two modes of administration, i.e. pencil and paper and computer-based tests. The analysis of the three stages of the project, Pilot, Study 1 and Study 2, forms the focus of the work. The central research question investigated is whether the usage of computer-based language testing is justified in such a context. A convergent parallel mixed methods design is employed, where quantitative test data is used to measure the equivalency of the two modes and qualitative self-report feedback form data explores the main advantages and disadvantages of these.
IMPACT OF SYARIAH COMPLIANCE PERCEPTION AND INVESTMENT KNOWLEDGE ON SYARIAH STOCK INTEREST AMONG STUDENTS
Authors: Alwi Irfriyandika , Nuh Ahmad , Eddy Wibowo Finantyo
Published: October 2023

The advancement of technology and innovation in the capital market has significantly impacted public interest and participation in investment. This study aims to analyze the influence of factors such as perception of Syariah compliance and investment knowledge, as well as the combined impact of these factors on students' interest in investing in Syariah-compliant stocks in the Syariah capital market. The research employs a quantitative approach to the population of undergraduate students majoring in Islamic Economics and Sharia Economics Law at STIS AL-WAFA. The sample consists of 147 students selected through a questionnaire method. Validity, reliability, classical assumption tests, and multiple linear regression analysis are used for data analysis. The study's findings reveal that perception of Syariah compliance is insignificant in students' interest in investing in Syariah-compliant stocks at STIS AL-WAFA. Knowledge about Syariah investment significantly impacts students' interest in investing in Syariah-compliant stocks in the Syariah capital market. Perception of Syariah compliance and knowledge about Syariah investment jointly influence students' interest in investing in Syariah-compliant stocks in the capital market. Nevertheless, it is acknowledged that other factors not covered in this study might also influence students' interest in investing in Syariah-compliant stocks in the capital market. Therefore, in this context, understanding and reinforcing these factors are crucial to stimulate students' interest in investing in Syariah-compliant stocks in the Syariah capital market.
THE INFLUENCE OF TRUST, PRODUCT QUALITY AND PRICE PERCEPTION ON PURCHASE DECISIONS MEDIATED BY PURCHASE INTENTION
Authors: Aji Wardoyo Sihat
Published: October 2023

Indonesia has abundant natural resources, especially natural gas. However, using natural gas to meet household needs has yet to be utilized optimally, one of which is in Tarakan City. This research aims to determine the influence of trust, product quality and price perception through purchase intentions on purchasing decisions directly and indirectly. This research uses primary data with the data source distributing questionnaires via Google Forms. The data analysis technique uses Structural Equation Modeling (SEM) analysis, processed with SmartPLS version 3 software. The research results prove that the trust variable positively and significantly affects purchase intentions. The product quality variable has a positive and significant effect on purchase intentions. The price perception variable has a positive and significant effect on purchase intention. The purchase intention variable has a positive and significant effect on purchasing decisions. The trust variable does not affect purchasing decisions. The product quality variable does not affect purchasing decisions. The variable price perception through purchase intention does not affect purchasing decisions. From the results of the blindfolding analysis, results were obtained that showed good prediction accuracy with low criteria (0.02 – 015). The results of the model suitability analysis show that the suitability level for this research model is 63%.
Tech-driven transformation: Investigating digitalization dynamics across varying firm sizes
Authors: Santos Eleonora
Published: October 2023

The dynamic patterns of technology adoption among firms clustered by size are investigated to assess the implications arising from the digital divide. Using data from the “Survey on the Use of Information and Communication Technologies in Enterprises (IUTICE)" dataset for 2003-2022, provided by the Portuguese Institute of Statistics, the research centers on three key variables – internet connectivity, website presence, and computer usage – which are examined across a spectrum of firms’ scales, shedding light on the evolving trends in technology adoption. Employing a combination of descriptive statistical analysis, trend assessment, and cross-sectional comparisons, this research shows noteworthy insights. Interestingly, the adoption rates for all three technology variables exhibit a consistent upward trajectory, indicative of a movement towards digitalization within the business landscape. Smaller firms have demonstrated notable strides, manifesting a reduction in the technology adoption disparity relative to their larger counterparts. The findings underscore the influential roles played by resource constraints and digital competencies in shaping technology adoption trajectories, and their correspondence with the Resource-Based View (RBV) framework underscores the role of organizational resources and capabilities on the digital divide. The ramifications extend beyond individual firms, resonating with the global scholarly discourse and advocating for equitable integration of technology. As firms, irrespective of size, grapple with the challenges posed by the digital era, this study provides deep insights that can guide the formulation of strategies aimed at cultivating an inclusive and technologically empowered business environment.
Pengaruh Fear of Missing Out (FoMO) terhadap Perilaku Konsumtif pada Mahasiswi Pembeli Barang Diskon Aplikasi Shopee
Authors: Safitri Adinda Fobi , Rinaldi Rinaldi
Published: October 2023

People spend a significant amount of their time constantly checking their social media and online market accounts. Individuals who always feel afraid of missing out demonstrate a tendency toward FoMO. However, the desire to belong to a group or purchase a product leads individuals to act consumeristically. This study aims to investigate the impact of Fear of Missing Out on compulsive buying behavior among female university students who purchase discounted items using the Shopee application. The population consists of female students at the State University of Padang. Purposive sampling was used to select a sample of 165 individuals. The study utilized the Fear of Missing Out scale (ONFoMO), which was modified from Kurniawan and Utami's work (2022), alongside the Consumptive Behavior scale based on Sumartono's indicators (2002). The simple linear regression analysis revealed a correlation coefficient (R) of 0.779 with a significant value of .000 (p<0.05) and an influence of 60.7%. Thus, a significant positive influence of Fear of Missing Out (FoMO) on consumer behavior among female college students buying discounted products was observed. In conclusion, it can be inferred that the higher the level of Fear of Missing Out (FoMO), the higher the likelihood of consumer behavior among female college students buying discounted products, and vice versa.
Pelatihan Self Improvement dalam Meningkatkan Kreatifitas Room Management Santri
Authors: Rozi Fathor , Nabila Izzah Nur , Qudriyah Faizatul
Published: October 2023

There needs to be persuasive efforts so that students, especially female students in the Al-Hasyimiyah area, can become moral, innovative and creative students, especially creative in terms of room management. In its implementation, this service is carried out by involving santri, especially female students with santri status in the Al-Hasyimiyah area, to be trained on how to develop creative ideas in managing rooms properly and correctly so that a safe and comfortable room to live in will be created. This training is carried out through the stages of presenting material, self-improvement training, demonstration or room management practice and trials. Based on the results of the training carried out, it can be concluded that the implementation of the self-improvement training in increasing the creativity of the students' room management above involves taking four main stages, namely the preparation stage, providing training, trial (direct practice) and evaluation. In terms of motivation, dormitory administrators are able to provide stimulants to fellow administrators and students to work together to manage a dormitory that is safe and comfortable for all. Effective communication is a necessity to mobilize other administrators and students to work together to form a conducive dormitory.
Pendampingan Membaca AlQuran Menggunakan Metode Iqra’ di SDIT Nurul Ikhlas Kota Padang
Authors: Nazwan Afif Putra , Kustati Martin , Gusmirawati Gusmirawati
Published: October 2023

The purpose of mentoring reading the Quran using the Iqra' method for students of SDIT Nurul Ikhlas Padang City is because the potential of students at SDIT Nurul Ikhlas Padang City in reading the Quran is quite good, it's just that in practicing it there are still weaknesses and there are still mistakes in reading the Quran according to tajwed. So the researcher decided to carry out the purpose of mentoring reading the Quran using the Iqra' method for students of SDIT Nurul Ikhlas Padang City. The method used in this service is ABCD (Asset Based Community Development). It is an approach used in community empowerment by focusing on asset potential as a strength that is explored in community development. At this stage the pengabdi saw that the use of the iqra' method was very helpful for students in learning the Quran. Because this iqra' method is easier to understand and is familiar to students so it is easier to accept. After doing this service, it proves that the assistance in reading the Quran using the iqra' method has a good impact, students more easily know the hijaiyah letters and there is also an increase in the pronunciation of Makhorijul Letters.
Assessment of nutritional status and dietary aflatoxins exposure in Children in Singida District Council
Authors:   , Fredrick Rufina
Published: October 2023

Feeding practices are the critical determinant of the growth and development of children during the first 1000 days of life with a long time effect on adulthood. This study aimed at assessing the diversity and safety complementary foods in terms of aflatoxins (AF). A total of 290 households with infants aged between 6-24 months were recruited from 10 villages in Singida District. Mothers were interviewed on infant feeding practices and handling of food crops using a structured questionnaire. Anthropometric measurements of index child were taken, followed by collection of 1 to 3 cereals based food samples used in complementary feeding in 180 households. A total of 218 flour samples made from maize, sorghum, millet, composite and fermented-germinated sorghum locally known as magai and magai drink; from magai flour were collected. Food samples were analyzed for aflatoxins using High-Performance Liquid Chromatography (HPLC). Anthropometric measurements showed that 37.7% were stunted; 20.3% underweight and 8.3% wasted. Furthermore, aflatoxin B1 was detected in 80 (36.7%) out of 218 complementary food samples. Aflatoxin B1 levels ranged from 0.33 to 23.75 µg/kg whereas, total aflatoxins were detected in 185 (84.9%) of 218 samples in a range of 0.47 to 289.28 µg/kg. However, mean dietary exposure to all food were; magai drink (133.36 ng/kg body weight per day), composite flour (106.0 ng/kg body weight per day), maize flour (111.70 ng/kg body weight per day), sorghum flour (94.68 ng/kg body weight per day) and millet flour (92 ng/kg body weight per day).
Parenting Styles as a Predictor of Substance Abuse among Undergraduates in Public Universities in Kwara State
Authors:   Department of Educational Management and Counselling Faculty of Education Al-Hikmah University, Ilorin, Nigeria, Oluwakemi Adegbenro Fadilat
Published: October 2023

The study aimed at viewing Parenting Styles as a predictor of substance abuse among undergraduates in Nigeria and also determined the relationship between the independent and dependent variables. Descriptive research design of correlational type was used for this study. A sampling procedure was employed to select 216 respondents and a questionnaire consisting of two sub-scales namely; Substance Abuse Scale (SAS) and Parenting Practices Questionnaire (PPQ) were adapted as the research tool for the collection of data. Frequency counts, percentage and charts were used to describe demographic data of sampled respondents while the research hypothesis was tested at 0.05 level of significance with the use of Pearson Product Moment Coefficient (PPMC). The findings showed that majority of undergraduates in public universities in Kwara State were affected by the authoritarian parenting style which instigated most of them to become substance addicts. Suggestions and recommendations were made to parents, counselors, lecturers, University management, government and religious groups among which is the organisation of self-awareness skills training by the counsellors and excursion exercise to rehab centers by the management as well as provision of spiritual counseling by the religious groups. Suggestions were made to further this study for wider scope and efficient results in the society.
Modeling Sustainability Challenges of Small and Medium Size Enterprises in Cameroon: Case Study in Buea
Authors:   PhD Fellow, The ICT University, P.O. Box 526 Yaounde, Cameroon, Tapang Felix Nkellefack
Published: October 2023

To address the sustainability challenges faced by Small and Medium-sized Enterprises (SMEs) in Cameroon, this study employed a qualitative approach, specifically utilizing grounded theory. The philosophical underpinnings were subjectivism ontology and interpretivism epistemology, while axiology was value-bound. The target population were SME owners and managers in Cameroon. A purposive sampling method was used to recruit participants in the town of Buea, from whom primary data was obtained through interviews. The findings revealed the overarching theme of administrative problems as the major sustainability challenge of SMEs. The study also revealed financial problems, electricity supply problems, knowledge & innovation problems, as well as management problems that SMEs face as challenges to their sustainability. This study had a geographical limitation as it was carried out only in the town of Buea, located in the south west region of Cameroon. As a recommendation, comparative studies should be done in other towns to have a broader overview of the challenges faced by SMEs in Cameroon. Based on the results, SME owners and managers will see the need to invest in entrepreneurial education and have adequate capital before venturing into business. The administration will see the need to improve policies and create an enabling environment for business operations.
Existence and stability of traveling waves for a competitive-cooperative recursion system
Authors: Bao Xiongxiong , Li Ting
Published: October 2023

This article concerns the existence and global stability of bistable traveling waves for a competitive-cooperative recursion system. We first show that the spatially homogeneous system associated with the competitive-cooperative recursion system admits a bistable structure. Then using the theory of bistable waves for monotone semiflows and a dynamical system approach, we prove that there exists an unique and global stable traveling wave solution connecting two stable equilibria for such recursion system under appropriate conditions.

For more information see https://ejde.math.txstate.edu/Volumes/2020/88/abstr.html
Wykorzystanie modeli logitowych w analizie czynników aktywności zawodowej ludności
Authors: Ręklewski Marek
Published: October 2023

The aim of the study is to identify important determinants affecting the economic activity of population aged 15 and older and those over 50 age on the labor market in Poland. The analysis provides an example of the use of logit models to identify and analyze the factors of population activity. The projected decline in labor resources and the increasing population aging confront the socio-economic policy of the State the task of sustaining activity of these populations. Analyses of labor market models often use variables, which include logit models.