Experimental values of ultrasonic velocity (u), density (ρ) and viscosity (𝜂) for the binary mixture 1,4 –Dioxane (Cyclic ether) and Benzene, Ethyl benzene, Toluene were measured over entire composition range. The measurements were done at constant temperature 298.15 K and at ultrasonic frequency 3Mh.Z. From the experimental data excess sound velocity (uE) and excess viscosity (𝜂𝐸), were calculated. These results have been fitted to the Redlich-Kister polynomial equation. Excess viscosity (𝜂𝐸) and sound velocity (uE) were found to be negative for temperature 298.15K. Excess sound velocity (uE) and excess viscosity (𝜂𝐸), were plotted against the mole fraction of 1,4 –Dioxane over the whole composition range at 298.15 K. They have been analysed to discuss the nature and strength of intermolecular interactions in these mixtures.

Keywords- Ultrasonic velocity, Density, Viscosity, Binary liquid mixtures, cyclic ether, Redlich-Kister polynomial equation, Intermolecular interactions.

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The increasing frequency of building collapses in Nigeria has raised significant safety concerns. This study aimed to evaluate the suitability of sandcrete blocks used for construction in the Amassoma region of Bayelsa State, Nigeria. A total of 100 sandcrete blocks were sampled from local factories, and their compressive strength was determined following ASTM International procedures. Field observations indicated that factory managers did not adhere to the Nigerian Industrial Standard (NIS) or any recognized international guidelines........

Keywords — Sandcrete blocks, Compressive strength, Granite fines, NIS standards, Nigeria

[1] Agbi, G. G., & Uguru, H. (2021). Assessing the impact of cassava starch on the structural properties of sandcrete blocks produced from recycled paper. Saudi Journal of Engineering and Technology, 6(5), 99-103.
[2] Agbi, G. G., Akpokodje, O. I., & Uguru, H. (2021). Evaluating the impact of traffic activities on heavy metals concentrations along a major highway in Delta State, Nigeria. Direct Research Journal of Public Health and Environmental Technology, 6, 45-51.
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Background: Este estudo investiga a busca pela excelência nos processos comerciais, administrativos e logísticos, com o objetivo de garantir a melhoria contínua como um fator essencial para empresas que desejam se destacar em um mercado altamente competitivo. A qualidade, definida por Juran (1995) como "adequação ao uso", refere-se à capacidade de um produto ou serviço atender às necessidades dos clientes. Nesse contexto, a Gestão da Qualidade Total (TQM), popularizada por Deming (1986) e Feigenbaum (1991), surge como uma abordagem estratégica voltada à melhoria constante, envolvendo todos os colaboradores na otimização dos processos e no atendimento às demandas dos clientes. A TQM contribui para o aumento da produtividade, redução de custos e maior satisfação dos clientes......

Keywords — Qualidade; Gestão da Qualidade Total (TQM); Satisfação do cliente; Melhoria contínua; Produtividade; Eficiência dos processos.

[1]. AICHOUNI, Ahmed Baha Eddine; SILVA, Cristóvão; FERREIRA, Luís Miguel D. F. A systematic literature review of the integration of Total Quality Management and Industry 4.0: Enhancing sustainability performance through dynamic capabilities. Sustainability, v. 16, n. 20, p. 9108, 2024.
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Background: O presente artigo propõe uma arquitetura de Gêmeo Digital voltada à gestão da inovação em ambientes industriais, fundamentada nos princípios da Indústria 4.0 e na integração de tecnologias de Internet das Coisas (IoT). A solução desenvolvida combina comunicação via protocolo MQTT, processamento distribuído com Nest.JS e persistência de dados em MongoDB e Redis, integrando o framework Eclipse BaSyx para implementação do Asset Administration Shell (AAS). Essa estrutura visa otimizar a coleta, o processamento e a visualização de dados em tempo real, assegurando interoperabilidade, escalabilidade e resiliência do sistema......

Keywords — Gêmeo Digital; IoT; Indústria 4.0; MQTT; BaSyx; Asset Administration Shell; Gestão da Inovação.

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Background: Este artigo apresenta o Assistente ETP (Contratação Direta), uma ferramenta digital desenvolvida para otimizar a elaboração de Estudos Técnicos Preliminares (ETP) e Documentos de Formalização de Demanda (DFD) no âmbito das contratações públicas brasileiras. Com foco nas modalidades de dispensa e inexigibilidade de licitação, a solução proposta está alinhada às diretrizes da Lei nº 14.133/2021, a Nova Lei de Licitações e Contratos Administrativos. A pesquisa explora a complexidade do cenário regulatório e a necessidade premente de soluções inovadoras para aprimorar a eficiência, a conformidade e a transparência dos processos de contratação.......

Keywords — Contratações Públicas; Estudo Técnico Preliminar (ETP); Inovação na Gestão Pública; Lei nº 14.133/2021; Dispensa de Licitação; Inexigibilidade de Licitação; Governança Digital.

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Historically, the limits to the spread of Micro Unmanned Aerial Vehicles (MAVs) are due to the constraints on electrochemical energy storage capacity, namely, the gravimetric energy density of lithium-polymer batteries. This study explores how photovoltaic (PV) systems can be installed in MAV airframes to increase their flight duration and potentially be able to fly indefinitely. Based on a evaluation of the low-Reynolds-number aerodynamics, maximum power point operation (MPPT) efficiencies, and the thin-film solar cell flexibility, this paper assesses the technical viability of solar power MAVs.....

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Global energy demand has entered a renewed phase of growth driven by rapid industrialisation, digitalisation, and the expansion of artificial-intelligence infrastructure. This resurgence has prompted a re-examination of the role of fossil energy in meeting near-term and transitional energy needs. While policy narratives continue to emphasise decarbonisation and net-zero trajectories, fossil fuels—particularly natural gas and oil—remain essential for energy security, reliability, and industrial development. This paper analyses the factors underpinning the continuing relevance of fossil fuels, explores their evolving functions within knowledge-driven economies, and proposes a knowledge-management and artificial-intelligence (AI) framework for managing fossil-fuel assets during the global energy transition. It concludes that fossil energy will persist as a strategic enabler of industrial and digital growth in emerging regions, provided that enterprises adopt intelligent, knowledge-based management systems to mitigate environmental and transition risks.

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The paper establishes a comprehensive AI-driven analytical framework that encompasses the entire workflow of data preprocessing, feature engineering, model construction, and evaluation optimization, and validates the model's effectiveness through regional case studies. The findings reveal that, compared to traditional methods, AI models demonstrate significant advantages in terms of prediction accuracy, timeliness, and interpretability. Algorithms such as LSTM, XG Boost, and Transformer are particularly adept at capturing complex fire dynamics......

Keywords: Artificial Intelligence; Fire Prediction; Data Analysis; Deep Learning; Risk Warning; LSTM

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