The construction industry has a significant environmental impact, accounting for a considerable portion of global raw material consumption and greenhouse gas emissions, a situation exacerbated by the intensive use of cement and the energy required for its production. These factors have driven studies aimed at quantifying such impacts, establishing Life Cycle Assessment (LCA) as a fundamental technical tool for this measurement. In this regard, this study presents a systematic review of the literature on LCA applied to cementitious products, conducted in accordance with the PRISMA protocol. The research covered the Scopus and Web of Science databases (2014–2025). After applying eligibility criteria based on the guidelines of ISO 14040 and 14044, and discarding superficies approaches, the final portfolio consisted of 69 articles (3 reviews and 66 original studies). The results of this study indicate a predominance of research on concrete (84%), and the main category studied was “global warming potential” (83%). However, critical gaps were identified: 44% of the studies omitted impact methods, and 9% did not define the system boundaries. Finally, it is evident that although LCA is a well-established tool, the field requires greater methodological standardization, the inclusion of socioeconomic indicators, and more in-depth sensitivity analyses.
Over time, CRM has evolved significantly from its origins as a simple contact repository to becoming a data platform used in business intelligence. This study explores, from the perspective of experts and users, how the integration between Sales and Marketing CRM systems can benefit data-driven decision making. A qualitative methodological approach was used, with a literature review and semi-structured interviews with professionals from different areas of expertise. Data analysis was performed using the Iramuteq software, employing the similarity analysis method. The results show that the interconnection between CRMs provides a consolidated view of the customer, enables more accurate identification of opportunities, and improves the efficiency of marketing campaigns and sales actions. Based on these findings, twelve practical indicators are proposed to help companies measure the benefits of integration. The conclusion reached is that this research can strengthen the domain of information systems, which reaffirms the relevance of the association between the areas of marketing and sales as a strategic factor in data-driven contexts.
We present a methodological proposal for teaching chemistry based on the flipped classroom, aiming to overcome the traditional teaching model, which often demotivates students. We explore how this approach can be applied to promote greater student autonomy and active participation, using digital resources and collaborative activities. Aspects related to transition metal complexes and their applicability in the manufacturing sector were studied. Experience reports indicate that the methodology has the potential to optimize classroom time, deepen learning, and develop essential 21st-century skills, such as critical thinking and problem-solving.
O objetivo deste estudo é identificar e caracterizar padrões na concessão de benefícios previdenciários relacionados a acidentes e doenças ocupacionais no Brasil. Um conjunto abrangente de dados composto por 185.238 benefícios concedidos pelo INSS entre 2019 e 2020 foi explorado com técnicas de agrupamento hierárquico e não hierárquico para identificar grupos distintos de beneficiários, seguida de Análise de Correspondência Múltipla (ACM) para explorar associações entre variáveis categóricas. Os resultados revelaram três clusters, com perfis diferenciados quanto aos tipos de lesões, faixas salariais e características demográficas. O Cluster 1 é caracterizado por lesões manuais e por esforços repetitivos entre trabalhadores de baixa remuneração; o Cluster 2 reúne distúrbios musculoesqueléticos e psicológicos entre trabalhadores de salários mais elevados; e o Cluster 3 é predominado por lesões traumáticas entre os trabalhadores de menor renda. A ACM evidenciou associações coesas e isoladas entre tipos de benefícios, doenças e regiões geográficas. Este estudo fornece um perfil robusto e baseado em dados sobre os custos previdenciários dos acidentes de trabalho no Brasil, oferecendo subsídios relevantes para formuladores de políticas e profissionais. A identificação de grupos de risco distintos e o mapeamento de fatores associados fortalecem o desenvolvimento de políticas de prevenção e compensação direcionadas e equitativas.
SADEBE 2.0 presenta una estructura de programación mejorada orientada al desarrollo de sistemas de apoyo a la toma de decisiones en el ámbito sanitario, con especial énfasis en la estandarización, la integración y la eficiencia en el procesamiento de datos clínicos. En comparación con la versión original, ha incorporado nuevos módulos, ha ampliado la interoperabilidad y ha introducido mecanismos avanzados de análisis, reforzando el apoyo a la toma de decisiones de profesionales y gestores basada en la evidencia científica. Además, el sistema ha pasado a emplear dos métodos de apoyo a la toma de decisiones, Random Forest y Hidden Naive Bayes, lo que aumenta la solidez y la precisión de las recomendaciones clínicas. Basado en reglas clínicas validadas, SADEBE 2.0 permite construir un flujo de decisión claro, objetivo y fiable, orientando las prácticas de enfermería de forma sistemática y segura. La implementación en PHP ha contribuido a crear una interfaz intuitiva, garantizando un procesamiento eficiente de las reglas clínicas y la integración con una base de datos para el almacenamiento de evidencia y registros asistenciales. De este modo, el sistema refuerza la práctica profesional de la enfermería, promoviendo una mayor precisión, agilidad y seguridad en la atención al paciente.
