bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of the climatic effects on the stability of a tailings dam
Authors: Gabriela Rodrigues Leal  , Adrian Torrico Siacara
Published: January 2025

Tailings dams are structures of significant economic and environmental importance in the Brazilian territory. These structures play the fundamental role of containing tailings, which consist of water and waste resulting from regional mining activity. The release of this material into nature results in serious environmental consequences. Additionally, in situations of dam rupture, downstream populations are subject to direct losses from the generated flood wave and indirect damages due to contamination of the groundwater that supplies nearby cities.These structures have become the focus of more detailed investigations due to the increasing frequency of incidents and accidents. Recently, Brazil witnessed two significant disasters that resulted in substantial loss of human life and considerable environmental damage: the collapse of Barragem I at the Mina de Feijão in Brumadinho and the Fundão Dam disaster in Mariana, both located in the state of Minas Gerais.Because of these two incidents of great magnitude, the analysis of mining dam stability and constant surveillance of these structures have become the focus of detailed investigations. Such analyses consider various factors, going beyond the consideration of the structure's geometry and the physical and mechanical parameters of the soil, also the evaluation of water presence in the dam through a flow analysis. The study of water presence in the dam is highlighted because it is closely related to the assessment of susceptibility to liquefaction, which was the main cause of the incidents in Mariana and Brumadinho.Based on this, the present study aims to analyze the impact of precipitation on the stability of a mining dam. For this purpose, Plaxis 2D for numerical modeling will be employed, through which models will consider climate effects such as rainfall and evapotranspiration to obtain the desired results. The results will be presented in terms of the safety factor over time. The variation in stability resulting from climatic fluctuations will be studied.
Evaluation of the influence of masonry walls on the soil-structure interaction mechanism through computational modeling of a reinforced concrete building
Authors: Juliane Cristina Gonçalves  , Mariana Larissa Antunes da Costa
Published: January 2025

The present study aims to investigate the influence of masonry walls on the soil-structure interaction mechanism for a reinforced concrete building. For this purpose, two finite element models are developed using the SAP2000 program, namely: (i) a three-dimensional model without masonry walls and (ii) a three-dimensional model with discretized masonry walls. The latter model, closer to reality, provides greater stiffness in the superstructure. In the analysis, both fixed supports and spring supports are employed. The results of the model with discretized masonry walls are similar to those of the model without masonry walls, i.e., when considering the soil-structure interaction, a redistribution of forces in the structural elements was observed. Peripheral columns showed an increase in demand while the central column showed a reduction in demand. There was a tendency for uniformization of differential settlements especially in the model with discretized masonry walls, and also an increase in positive bending moments in the spans and negative bending moments in the peripheral supports of the central beam at the ground level. That is, if the structural design does not consider settlements (as in the case of a design without soil-structure interaction), settlements can lead to localized plasticizations in the beams. Thus, the importance of refined models is perceived, and also, in cases where settlements are significant, the effect of soil-structure interaction is relevant in the design, not only of foundations, but also of the structure.
New approach to predict load-displacement curves of bored piles in homogeneous sandy soils: numerical analyses
Authors: Naloan Coutinho Sampa  , Tamara Bittencourt Corrêa  , Pablo Gondim de Oliveira
Published: January 2025

Large-diameter bored piles (LDBPs) are increasingly used as foundations elements for various structures such as tall buildings, highway bridges, retaining structures, and power transportation structures, among others. Stabilizing fluids like bentonite or polymers are commonly employed to maintain borehole integrity in soils with high water tables and low resistance. Previous research has highlighted the significant influence of stabilizing fluid and construction methods on the performance of bored piles. Due to the absence of routine design methods for bored piles with stabilizing fluids, full-scale instrumented load tests are regularly conducted to investigate load transfer mechanisms and predict bearing capacity. Alternatively, numerical modeling offers a cost-effective approach to analyze pile performance in layered soil with stabilizing fluids. However, the complexity of this problem, involving different soil layers, and the thin layer of soil-stabilizing fluids in the shear band, presents challenges for numerical analysis. In this study, a numerical model is proposed to analyze bored pile performance in sandy soil, considering different pile diameters and lengths. The model is calibrated using data from instrumented vertical load tests conducted on a 1 m diameter and 24.10 m long bored pile constructed with bentonite. Based on previous research findings, simplifications were made regarding soil layers and stabilizing fluids. Calibration involved utilizing Abaqus/CAE software and the Mohr-Coulomb failure criterion to describe granular material behavior. The soil model comprises a unique sand layer with 12.5 m in length and 36.15 m in depth and mean parameters derived from seven in-situ layers data. Load test simulations involve applying a vertical displacement equivalent to 10% of the pile 1m-diameter and analyzing load-displacement curves, load transfer mechanisms, interface behavior, and field stress-displacement. Initial findings show good agreement between experimental and numerical load results. Parametric analysis investigates the influence of pile geometry and soil properties on various resistances (Q_u,Q_b and Q_f) and coefficients (β,μ and K), proposing normalization expressions to estimate load capacities based on soil and pile properties. This study provides insights for developing supplementary methods to predict bored pile resistance and behavior and conducting future numerical analyses with stabilizing fluids and layered soils, thereby enhancing engineering practices in this field.
Numerical finite difference modeling of cylindrical panels under Pasternak contact constraints
Authors: McGlennon da Rocha Régis  , Ricardo Azoubel da Mota Silveira  , Christianne de Lyra Nogueira  , Paulo Batista Gonçalves
Published: January 2025

This study examines the radial displacement of cylindrical panels in contact with a Pasternak elastic foundation. Permanent contact situation between the structure and the medium is considered, characterizing the contact problem as bilateral. Simply supported isotropic cylindrical panels are defined and subject to concentrated external loads, and the finite difference method is adopted to approximate the equilibrium differential equation derivatives. The cylindrical panel approach follows the Sanders theory. Thus, a computational tool is developed, using the Fortran programming language, to study this class of bilateral contact problem. The results analyze focus on: the panel radial displacements for different meshes when nodal points variation occurs in different directions; the influence of the cylindrical panel thickness; the stiffness offered by the two parameters base model; and the boundary condition influence.
Submarine Mudflows: Insights from Depth-Averaged Numerical Simulation
Authors: Lucas Diego de Freitas Lino  , Tiago Peixoto Silva Lôbo  , Adeildo Soares Ramos Júnior
Published: January 2025

Submarine mudflows, frequently triggered by underwater landslides, lead to substantial debris accumulation stretching over kilometers once the landslide subsides, posing significant risks to vital infrastructure and the potential for triggering tsunamis. As these events are challenging to measure directly, simulation becomes imperative. Furthermore, these simulations must accurately depict the intricate dynamics of mudflow sliding processes, often modeled as viscoplastic fluids, and effectively captured by rheological models like Herschel-Bulkley and Bingham. The potential nonlinearity inherent in the Herschel-Bulkley model adds to the complexity of predicting final runout distances. The governing equations, comprised of a set of partial differential equations, further compound this challenge, making their solution difficult. In this paper, we delve into the numerical simulation of mudflows using the Depth-Averaged Method (DAM), a technique that streamlines the governing equations by integrating the momentum and continuity equations over the depth dimension. The mud descends down a slope with a fixed angle of declination. Employing both the Herschel-Bulkley and Bingham models within the DAM framework, we analyze the final runout distance and explore how various mud parameters - such as density, initial shape, and bed slope angle - affect the resulting deposit length. Using an explicit finite difference scheme to solve the governing equations, we first conducted a validation case to ensure the accuracy of our implementation, followed by a comprehensive comparison of runout distances across simulations, varying mud parameters.
On the Use of DELEqC-III in Bilevel Problems with Linear Equality Constraints
Authors: Heder Soares Bernardino  , Jaqueline da Silva Angelo  , Helio José Corrêa Barbosa
Published: January 2025

The bilevel programming problem (BLP) is an optimization problem with another optimization problem in its constraints. This framework finds utility in modeling decentralized scenarios, which arise in real-world applications such as trafﬁc management, transportation, and economic policy. Differential Evolution (DE) techniques have emerged in literature for addressing such complex problems. However, handling linear equality constraints poses a significant challenge for DE and other metaheuristics. To address this issue, we previously introduced DELEqC, enhancing DE with a mechanism to manipulate the linear equality constraints. A specialized variant, BL-DELEqC, was further proposed specifically for tackling general BLPs. Another variant, DELEqC-III, transforms the original constrained optimization problem into a lower-dimensional unconstrained one, offering applicability to BLPs with linear equality constraints. Thus, we explore in this study the efficacy of DELEqC-III in handling BLPs with linear equality constraints. The proposed BL-DELEqC-III is compared to BL-DELEqC on a selection of benchmark BLPs, demonstrating superior results.
Analysis of the transport of monoethylene glycol inside oil pipelines using numerical simulation and deep learning modeling
Authors: Nathália Roseane de Melo  , João Alexandre Ferreira Neto  , Deisiane Santos de Oliveira  , Jonathan da Cunha Teixeira  , Giselle Maria Lopes Leite da Silva  , Paulo Roberto Maciel Lyra  , Alessandro Romário Echevarria Antunes  , Darlan Karlo Elisiário de Carvalho
Published: January 2025

One of the challenges faced by oil production systems is the formation of inorganic fouling, which is one of the problems of flow assurance. It is caused by the precipitation and deposition of substances such as barium and strontium sulphate, silicon sediments, calcium carbonate and sulphate, iron, and other insoluble solids, in a single phase or a combination of different minerals. Effective methodologies are being sought to mitigate or prevent the damage caused by this phenomenon, such as injecting inhibitors to prevent the nucleation and growth of fouling crystals. The solvent many of these inhibitors use is monoethylene glycol (C2H6O2), a liquid substance of low toxicity, miscible in polar solvents and relatively non-volatile. For this approach to be effective, it is necessary to understand the behavior of the product used inside the pipe since incorrect injection can accelerate and promote the recurrence of these formations. In order to understand the effectiveness of inhibiting this phenomenon, this paper investigates the behavior of the multiphase, multicomponent flow resulting from the injection of monoethylene glycol into a mixture of oil and formation water in an oil production system pipeline, using computational numerical simulation employing the Ansys Fluent commercial simulator, and applying deep learning models to calculate polynomials that describe the thermodynamic properties of the fluids that make up the flow. Using this methodology, we could predict the distribution of the mass fraction of monoethylene glycol in this system and verify the influence of different injection velocity profiles of this substance on the coefficient of variation of this fraction to predict the uniformity of the resulting mixture between the inhibitor solvent and the formation water. The results made it possible to verify the pipeline sections where there is total, partial, or no inhibition of the formation of inorganic fouling. This study is an essential tool for understanding efficient strategies for controlling and mitigating the occurrence of this flow assurance problem.YUE, Hairong; ZHAO, Yujun, MA, Xinbin, GONG, Jinlong. Ethylene glycol: properties, synthesis, and applications. Chemical Society Reviews, [S. l.], v. 41, n. 11, p. 4089-4380, 7 jun. 2012. DOI 10.1039/c2cs15359a.
Detection of unexpected events in oil wells using deep learning with Autoencoders and Local Outlier Factor
Authors: Andressa Celestino Araujo da Silva  , Pedro Esteves Aranha  , Igor de Melo Nery Oliveira  , Eduardo Toledo de Lima Júnior  , Davi Leão Ramos  , Thales Miranda de Almeida Vieira
Published: January 2025

In the oil and gas industry, anomaly investigation is of great interest, as careful data analysis plays a fundamental role in preventing production losses, environmental accidents, and workforce reduction, while reducing maintenance costs. To achieve these goals, a variety of computational techniques has been applied, primarily to enhance operational safety. These techniques involve the use of data from pressure sensors, temperature sensors, and control valves installed both in wells and on production platforms connected to these wells. This work investigates unsupervised machine learning models using density-based architectures such as Local Outlier Factor (LOF), combined with autoencoders to detect unexpected events in sensors of production/injection subsea wells. The first approach leverages data from operational wells, examining pressure and temperature sensors throughout the well structure, and applies them to autoencoders for data preprocessing, thereby reducing its dimensionality and capturing important characteristics. Subsequently, these processed data are fed as input to the LOF-based architecture analyzed in this work. In the second approach, the data is inserted directly to the analyzed machine learning model, avoiding any kind of dimensionality reduction with autoencoders, followed by comparisons with previous works on anomaly detection of wells. The experiments were conducted in real cases of wells that experienced operational failures, focusing on the anomalies identified by Vargas et al. (2019) and recorded in the 3W public database. Previous studies in the literature have highlighted that the LOF algorithm has shown satisfactory performance in identifying anomalies in production wells with gas lift and in spurious closures of DHSV (Downhole Safety Valve), when compared to other approaches, even outperforming recurrent neural networks, as observed by Nascimento et al. (2020) and Aranha et al. (2023), respectively. Therefore, it is expected that LOF will also demonstrate good performance results in detecting other instances present in the database. Furthermore, its integration with autoencoders for data dimensionality reduction is anticipated as a complementary strategy to enhance the results.
Local Models for Oil Well Casing Subject to Subsidence Deformations
Authors: Emilio Cesar Cavalcante Melo da Silva
Published: January 2025

When oil and gas wells become depleted and reservoir pressures decreases, the porous formation contracts due to poromechanics effects, causing significant stress redistribution and global deformation of the rock mass. In severe cases, there may be significant displacement of the surface (or ocean bottom), termed subsidence. Both surface and underground displacements are transmitted to well barrier elements, including wellheads, casing and cementing, potentially leading to hydrocarbon leaks. However, coupling geomechanical models of subsidence with well structures presents significant modeling and simulation challenges. Axisymmetric modeling of vertical wells subject to transversely isotropic subsidence strains is relatively straightforward and extensible to slightly deviated wells, but any other cenario requires costly and challenging tridimensional modeling. Therefore, although subsidence is a global problem, it is important to develop local coupling models. In this work, we present the axisymmetric modeling approach and discuss the challenges associated with applying boundary conditions for the general case of a deviated well in a fully triaxial strain state. Using a contracting material model for the rock, we were able to observe pipe loads such as axial and shear forces, as well as ovalization and external pressure, in the cemented casing. This opens a path toward 1D modeling of casing pipe, which is the traditional well casing design approach.
On the probabilistic assessment of casing applied to top hole design by FORM
Authors: Joyce Kelly França Tenório  , Christiano Augusto Ferrario Várady Filho  , Eduardo Toledo de Lima Júnior  , João Paulo Lima Santos  , Rafael Dias  , Fabio Sawada Cutrim
Published: January 2025

This study employed reliability-based models to optimize the design of top-hole casing sections considering the uncertainties associated with soil behavior and casing manufacturing. The integrity of oil and gas wells significantly depends on the casing system throughout its life cycle, ensuring tightness, stability, and load support. Various load scenarios were analyzed to estimate the probability of occurrence of different soil-casing system failure modes. Analyses for various types of top-hole designs are included in this work. Reliability-based techniques have emerged as interesting tools for structural analyses and design. This research leverages soil characterization data from piezocone tests (CPTu) to statistically define the mechanical parameters crucial for conductor and surface casing design. Additionally, random variables linked to the material and geometrical properties of tubulars are incorporated, drawing from the casing manufacturing data outlined in API/TR 5C3 (2018). Probabilistic models are developed using the first-order reliability method (FORM), an efficient optimization-based procedure, and applied across multiple load scenarios to gauge the failure probability in the top-hole casing design. The analysis primarily focuses on the variability associated with undrained soil strength derived from CPTu data, which is deemed the most influential random variable owing to its spatial heterogeneity. The results underscore the viability and importance of estimating the probability of relevant failure modes aligned with internal regulations concerning the conductor casing load capacity, surface casing triaxial stress, and wellhead displacement. The work in progress considers random variables obtained from correlated soil test data and related to casing manufacturing (outer diameter, wall thickness, and yield strength) in a combined probability density function applied to the failure functions. The findings reveal that the conductor casing capacity is the critical failure mode, which is consistent with deterministic design practices. Moreover, the analysis highlighted that the outer diameter insignificantly influences the probabilistic response owing to its low dispersion. This novel approach combines soil statistics information and casing manufacturing data within a reliability-based framework, achieving a balance between cost and safety while aiding decision-making in top-hole design.
Streamlined workflow for the simulation of submarine landslides with the material point method
Authors: Leonardo Tolêdo Ferreira  , Tiago Peixoto da Silva Lôbo  , Luciana Correia Laurindo Martins Vieira  , Adeildo Soares Ramos Júnior
Published: January 2025

Industry demand for numerical simulations is growing every year due to the advances in computer hardware that make increasingly complex and detailed simulations possible. Numerical tools are particularly useful for situations in which the available analytical and experimental tools are limited or unavailable. For that reason, they are a powerful tool for the analysis of natural phenomena, such as submarine landslides. Submarine landslides are commonly accompanied by large deformations and large displacements, which makes them challenging for traditional numerical tools, such as the finite element method. Thus, a numerical tool which is equipped to handle this behavior is necessary. In this paper, we describe a streamlined workflow to simulate submarine landslides that encompass problem modeling, simulation and post-processing. The simulator, developed in-house, uses the Generalized Interpolation Material Point (GIMP) to solve momentum conservation equations and is able to handle large deformations, contact and physical nonlinearities. The proposed workflow acts as a wizard that creates templates for multiple problem definition strategies, automates simulation execution, and provides a range of postprocessing variables to better describe the results. Furthermore, practical examples are presented, detailing the process of mesh and particle definition, simulation execution and analysis of run out distances, deposition height and impact pressure assessment.
Sensitivity Analysis of Relative Permeability on Unsteady-State Core Flooding via Experimental Data
Authors: Miquéias Mateus Ferreira Leite  , Filipe Oliveira da Silva  , Gianfranco de Mello Stieven  , Carol Henrique Dias  , Rodrigo Surmas  , Paulo Couto
Published: January 2025

The use of computational reservoir simulation plays a key role in understanding fluid flow in geological formations, enabling the development of advanced models and accurate predictions. These simulations rely heavily on parametric constitutive relations to represent essential properties such as relative permeability (Krel), which is required for modeling continuous-scale multiphase flow in porous media. However, the majority of models described in the existing literature contain numerous empirical parameters that must be determined. Regardless of how complex their parameterization is, these parameters have no direct relationship to the problem's underlying physics. As a result, there is a need to estimate these parameters and regularly assess the associated uncertainties. Nevertheless, achieving satisfactory uncertainty quantification requires a preliminary investigation into sensitivity and linear dependence, a step that is often overlooked, especially in the context of core flood experiments. Given this issue, this study aims to analyze the reduced sensitivity coefficient of relative permeability parameters, parameterized using the LET model, in unsteady-state core flooding experiments, considering both bump and no bump conditions, while also taking into account the capillary pressure parameterized via LET. In these experiments, a plug saturated with oil undergoes axial water injection at one end, resulting in oil (and water after breakthrough) being produced at the opposite end. Experimental data includes the pressure difference between the water inlet and the oil (and water) outlet, along with the accumulated volume of produced oil. Based on experimental data, computational simulations were conducted using the Cydar® software to optimize the relative permeability and capillary pressure. The dynamic behavior of the relative permeability parameters' local sensitivity is showcased, alongside their dimensional comparison.
A Case Study of Artificial Neural Networks Usage for Rate of Penetration Prediction with Offset Wells Data
Authors: Antonio Paulo Amancio Ferro  , Erasmo Augusto Bezerra Silva  , Francisco de Assis Viana Binas Júnior  , Lucas Pereira de Gouveia  , Aline da Silva Ramos Barboza
Published: January 2025

The oil and gas industry is constantly motivated to implement strategies focusing on cost management and operational optimization to maximize productivity. Rate of Penetration (ROP) serves as a key performance metric, reflecting the speed at which a drilling bit penetrates subsurface formations. Increasing ROP can minimize costs by reducing drilling time. ROP prediction models aid drilling optimization plans since accurate models are required to find ideal controllable parameters to increase ROP using optimization algorithms. Drilling characteristics that significantly influence ROP include bit type, formation properties, and operation parameters, such as Weight on Bit (WOB) and Rotations per Minute (RPM). The number of significant parameters makes it difficult to develop analytical expressions for predicting ROP. The present work investigates the applicability of Artificial Neural Networks (ANN) for ROP prediction using public data from three wells extracted from the Volve oil field in the North Sea. The adopted strategy is to learn from offset wells, which means using data from two wells to predict the ROP for the third. This approach helps to address a practical scenario where historical data are used to make predictions for a new well in a close region. This study uses MLP (Multilayer Perceptron) networks with WOB, RPM, Torque, Fluid Flow rate, and Delta-T Compressional as features, and the training process is conducted using the GridSearchCV method for hyperparameter tuning, comparing different model architectures to improve results. To assess the final performance of the model, metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) are applied to the tested well. The results show that the developed model can capture ROP patterns without requiring any data stratification of the two wells regarding lithology information.
Diseño y sostenibilidad, de Ricard Huerta
Authors: Morera Vidal Francesc
Published: January 2025

Disseny i sostenibilitat, monografia presentada a Barcelona al juny de2024, aborda la integració de la sostenibilitat en el disseny. Estructurat en 17 capítols, corresponents als Objectius de DesenvolupamentSostenible de l’ONU, l’obra ofereix una perspectiva pràctica i esperançadora. Huerta, catedràtic d’Educació Artística, combina experiènciespersonals amb referències a pensadors influents, creant un text accessible i reflexiu. El llibre no sols consciència sobre la responsabilitat deldisseny per a la sostenibilitat, sinó que també proporciona eines per aimplementar-la amb efectivitat a la pràctica professional i la docència.
Human in Xunzi’s Socio-Political Thought: Implications for Educational Reform in Vietnam
Authors:   Ly Tu Trong College, Ho Chi Minh City, Vietnam, Tham Cao, Thi Hong
Published: January 2025

This study examines Xunzi’s philosophy on humanity and its relevance to contemporary educational reform in Vietnam. Xunzi, 荀子 (316– 237 BCE), a prominent philosopher of ancient China, is known for his assertion that “human nature is inherently evil.” His socio-political philosophy emphasizes the role of education in shaping human character and fostering social order. Through a materialist perspective, Xunzi proposed methods such as self-cultivation, adherence to moral principles, and active engagement in society as pathways to achieving individual and societal harmony. The study highlights the historical significance of Xunzi’s ideas in addressing modern educational challenges in Vietnam, including the identification and development of talent, the prioritization of moral education, the central role of teachers, and the implementation of diverse and dynamic teaching methods. The findings suggest that Xunzi’s philosophical insights offer valuable lessons for building an education system that aligns with the principles of equity, innovation, and moral integrity in a rapidly changing society.
Ethical Implications of AI in Shaping Online Discussions (Deepfakes, Bots)
Authors: Gill Ayesha Nazir
Published: January 2025

The growing prevalence of artificially intelligence (AI) technologies in the classroom has ramifications for how the teacher and student perceive the experience of meaningful student labor. Despite the development and organizational deployment of AI, the promotion or limitation for online debates, as well as the ethical implications of these changes, are deficient. This research is situated at the intersection of the literatures on ethical AI and online conversations, and it provides a comprehensive analysis of the implementation of AI to either improve or degrade the management of online discussions. Firstly, to determine the ethical significance of online talks is an overview of the nature of these conversations and to draw on philosophical and educational ethics explanations. Following this, the researcher investigates the effects of three different ways of deploying artificial intelligence (replacing some duties, tending the machine, and enhancing student talents) across five aspects that constitute a holistic picture of online debates, and ultimately, the ethical implications of these three approaches are evaluated. This allows the contextualization of the online discussion literature for the era of AI, extension of this ethical literature into the education sector, and to the conclusion of a variety of practical consequences and future research possibilities.
Chatgpt en el aprendizaje de lenguajes de programación en estudiantes universitarios
Authors: Gallegos-Ramos Nestor Antonio
Published: January 2025

El propósito del estudio fue conocer el impacto de la aplicación de la herramienta chatgpt en el aprendizaje del lenguaje de programación C++ en estudiantes de semestres básicos, la población y muestra fue no probabilística según criterio del investigador, cuasi-experimental con dos mediciones antes y después del tratamiento. El instrumento estructurado aplicado consta de cuatro dimensiones con sus respectivos indicadores medidos en una escala de 9 puntos, segmentados en tres categorías baja (1 a 3), media (3 a 6) y alta de (6 a 9).  Los resultados generales indican que hubo un paso de la categoría media a alto en el aprendizaje del estudiante por otra parte el promedio de horas destinadas al estudio de programación es de 4.05 ± 1.04, al 95% de confianza. ).  Por tanto, se concluye que el uso de herramientas de la IA “asistente virtual de lenguaje” puede ser una estrategia efectiva para mejorar el aprendizaje y el dominio de los lenguajes de programación en la educación superior.
Aplicación web con Quick Response para control de la biblioteca de una institución educativa en Puerto Maldonado
Authors: Quispe-Barra Diego Raul
Published: January 2025

El propósito de este estudio fue desarrollar e implementar una aplicación web con integración de QR para mejorar la gestión de la biblioteca escolar de la IEE “Dos de mayo” en Puerto Maldonado, Madre de Dios. El estudio se clasifica como básico, experimental, de nivel explicativo, con un enfoque cuantitativo y de corte longitudinal. Los datos se recolectaron mediante encuestas. Para el desarrollo del sistema se empleó la metodología WAE (Web Application Extension), especialmente adecuada para aplicaciones web, junto con el patrón arquitectónico Modelo Vista Controlador. El lenguaje de programación utilizado fue PHP a través del framework CodeIgniter, SQL Workbench para la gestión de bases de datos y Bootstrap para la interfaz de usuario. Los resultados indicaron mejoras significativas en el control de la biblioteca, reduciendo el tiempo de inventariado (de 2-3 minutos a 1-2 minutos), el tiempo de préstamos (de más de 4 minutos a 1-2 minutos) y el tiempo de búsqueda de libros (de más de 4 minutos a 1-2 minutos). En resumen, la implementación del sistema mejoró notablemente el control bibliotecario y optimizó sus operaciones.
Desarrollo e implementación de un sistema web para optimizar los procesos de préstamo de libros de una biblioteca, Tambopata
Authors: Quispe-Lukaña Dietmar Anthony , Ulloa-Gallardo Nelly Jacqueline
Published: January 2025

Este estudio tuvo como objetivo implementar un sistema de información automatizado para optimizar la gestión documental y la administración de préstamos de libros en las bibliotecas de Tambopata. La investigación se llevó a cabo utilizando un diseño pre-experimental, con un enfoque cuantitativo para evaluar los cambios en la eficiencia operativa antes y después de la implementación del sistema. Los resultados mostraron una mejora significativa en la administración de préstamos de libros, con un coeficiente de variabilidad R² de 0,353, lo que indica que el 35,3% de los cambios observados en la administración de préstamos fueron explicados por la implementación del sistema web. Asimismo, se observó una reducción en los tiempos de gestión, pasando de un promedio de 18,4 horas a 9,6 horas por proceso documental. En cuanto a la satisfacción del usuario, los resultados revelaron un aumento del 45% en la percepción de eficiencia y facilidad de uso tras la implementación. Los análisis estadísticos confirman que la implementación del sistema UpravibBlio mejoró significativamente tanto la operatividad como la satisfacción del usuario en las bibliotecas de la región.
A relação entre saúde mental e cardiovascular em adolescentes: uma revisão de escopo
Authors: Andrade Camila Albino de , Clemente Maria Mariana Cardoso , Barros Mauro Virgilio Gomes de , Rangel Júnior João Francisco Lins Brayner
Published: January 2025

Introdução: A saúde mental e cardiovascular de adolescentes é tema de relevância crescente, dado o aumento de diagnósticos de hipertensão arterial associados a fatores emocionais como depressão. A depressão, reconhecida pela OMS como uma das principais causas de incapacidade, pode influenciar marcadores cardiovasculares, indicando uma relação bidirecional. Objetivo: mapear na literatura científica a relação entre alterações na pressão arterial e sintomas depressivos em adolescentes. Método: Trata-se de uma revisão de escopo, seguindo o protocolo proposto por Arksey e O'Malley (2005) e escrita segundo a lista de verificação PRISMA-ScR. O protocolo desta revisão foi registrado no Open Science Framework(doi 10.17605/osf.io/46psf). A pergunta da pesquisa foi: “Existe associação entre alterações na pressão arterial e sintomas depressivos em adolescentes?”. Down?”. As buscas foram realizadas nas bases de dados: BVS/Lilacs, Cochrane Library, Embase, Pubmed/Medline, Scielo e Web of Science. Foram encontrados 545 artigos. Ao todo foram incluídos 7 artigos. Resultados: Os resultados revelaram que sintomas depressivos estão associados a marcadores cardiovasculares como rigidez arterial, variabilidade da frequência cardíaca e pressão arterial sistólica e diastólica. A maioria dos estudos aponta para uma relação bidirecional, sugerindo que alterações na pressão arterial podem agravar sintomas depressivos e vice-versa. Apesar disso, não há consenso sobre os impactos diretos durante a adolescência, mas evidências indicam maior risco de doenças cardiovasculares na vida adulta. Conclusão: Conclui-se que intervenções precoces são fundamentais e recomenda-se maior número de estudos longitudinais para esclarecer a interação entre saúde mental e cardiovascular nessa faixa etária.
Influência dos jogos e brincadeiras no desenvolvimento cognitivo e emocional de crianças na primeira infância
Authors: Silva Adriana Cardim da , Leone Aline Bento , Santos Joiciane Soares dos , Reis Cleidiane Santana dos Santos , Gomes Francisco Cleiton Silva , Gambary Daniela Cristine Nunes , Melo Eduarda Rodrigues de , Souza Elaine Ortiz , Cardoso Lucilene da Silva , Tonche Regiane Alves Garcia , Nascimento Maria Conceição dos Santos , Jesus Regiane Maria de , Pereira Lúcia Cristina de Paula , Conceição Roseane Amaral da , Ussler Aici Veiga Rabello
Published: January 2025

Este artigo analisa a influência dos jogos e brincadeiras no desenvolvimento cognitivo e emocional de crianças na primeira infância, ressaltando a ludicidade como elemento essencial para a formação integral. A pesquisa fundamenta-se na premissa de que atividades lúdicas promovem habilidades como memória, atenção, criatividade e empatia, sendo fundamentais tanto no ambiente escolar quanto no familiar. O objetivo do estudo é compreender como os jogos e brincadeiras contribuem para o desenvolvimento infantil e identificar os desafios relacionados à valorização da ludicidade. A metodologia utilizada foi uma revisão bibliográfica, com análise qualitativa de estudos publicados nos últimos dez anos. Os resultados indicam que as atividades lúdicas fortalecem competências cognitivas e emocionais, mas enfrentam barreiras como a falta de recursos e o uso excessivo de tecnologias digitais. Conclui-se que o brincar deve ser promovido como um direito essencial das crianças, demandando investimentos em políticas públicas, formação docente e conscientização familiar. Este estudo oferece subsídios teóricos para práticas pedagógicas e familiares que valorizem a ludicidade como estratégia para o desenvolvimento integral das crianças.
O papel dos canabinóides na modulação da inflamação e da dor crônica
Authors: Cardoso Victoria Karoline Libório , Laborda Adeagna Bento , Gomes Camilla Castro , Bitencourt Danielly Brito Ferreira , Souza Ester Hadassa Lira de , Mavignier Gabrielle Crystine Lima Cansanção , Oliveira Gabriel Soares de , Bessa Lauro César de Oliveira , Zeni Maria Eduarda Flores , Castro Ruany Amália Briglia , Brandão Samantha Yuko Nishiki , Cattaneo Sara Gabriella de Azevedo , Beke Simone de Oliveira Cruz
Published: January 2025

O estudo dos canabinoides na modulação da inflamação e dor crônica tem atraído atenção na medicina, especialmente devido às limitações dos tratamentos convencionais. Derivados da planta Cannabis sativa ou produzidos pelo organismo, os canabinoides possuem propriedades anti-inflamatórias e analgésicas, como demonstrado em estudos pré-clínicos e clínicos. A interação com o sistema endocanabinoide, mediada pelos receptores CB1 e CB2, é central para essa modulação. O CB1, presente no sistema nervoso central, está relacionado à redução da dor e à modulação de neurotransmissores, enquanto o CB2, expresso em células do sistema imunológico, regula processos inflamatórios. Os canabinoides diminuem a liberação de citocinas pró-inflamatórias, como TNF-α e IL-6, e aumentam as anti-inflamatórias, como IL-10. O tetrahidrocanabinol (THC), composto psicoativo da Cannabis, tem mostrado potencial em suprimir respostas inflamatórias. Por outro lado, canabinoides não psicoativos, como o canabidiol (CBD), destacam-se por seu perfil de segurança e ausência de efeitos psicotrópicos. O CBD exerce múltiplos mecanismos, como inibir mediadores inflamatórios e aumentar proteínas anti-inflamatórias em células microgliais. Apesar dos resultados promissores, há lacunas na literatura, especialmente sobre dose-resposta, efeitos a longo prazo e interações medicamentosas. A variabilidade nos protocolos de pesquisa e nas concentrações de canabinoides dificulta a interpretação dos resultados. Avanços no entendimento dos canabinoides poderão melhorar o manejo de condições inflamatórias e dolorosas, contribuindo para terapias mais eficazes e seguras.
Reconstrução mamária em pacientes mastectomizadas por câncer com utilização de expansores e implantes de silicone: uma série de 40 casos
Authors: Fornazim Giovanna Salatti , Assad Isabela Garcia Abuissa , Martin Isabella Reis , Assad Isadora Garcia Abuissa , Salomé Jade , Munhoz Julia Leite , Queiroz Letícia Cardoso de , Pérez Maria de Lima Vilas
Published: January 2025

Introdução: A reconstrução mamária em pacientes mastectomizadas por câncer tem como objetivo a criação de uma mama, com forma e volume o mais simétricos possível à mama contralateral. Objetivos: Identificar os resultados das pacientes que realizaram reconstrução mamária com expansores pós-mastectomia, em um primeiro momento, e posterior colocação de implante(s) de silicone na(s) mama(s) acometida(s). Metodologia: A metodologia consiste em um estudo observacional retrospectivo por meio da análise de prontuários, considerando uma amostra temporal de aproximadamente 40 casos operados na cidade de Americana, no estado de São Paulo, no período de 2022 a 2024. Resultados: Foram revisados e incluídos os prontuários de 40 pacientes do sexo feminino, com idades variando de 28 a 70 anos (média de 46 anos). Entre as complicações, 7,5% das pacientes necessitaram de nova intervenção cirúrgica, sendo a infecção responsável por 5% dos casos. Por outro lado, 25% das pacientes não apresentaram complicações. Discussão: O estudo destacou que o procedimento cirúrgico leva a resultados distintos entre as pacientes, tendo em vista que suas comorbidades, complicações e muitos outros fatores pessoais desconhecidos pelo médico até o momento da cirurgia podem impactar diretamente os resultados finais obtidos. Conclusão: A reconstrução mamária apresenta-se como um desafio para o cirurgião plástico, considerando que o câncer é uma condição agressiva, cujo tratamento exige tempo e cuidados específicos para garantir a correta inserção do implante. Apesar dessas dificuldades, os resultados alcançados são positivos, mesmo nos casos mais complexos e desafiadores.
Prevenção da pneumonia associada à ventilação mecânica: validação de material educacional e aplicação do ciclo PDSA em UTIS brasileiras
Authors: Jesus Daniela Duarte da Silva de , Trindade Carolina Sturm , Millão Luzia Fernandes
Published: January 2025

A Pneumonia Associada à Ventilação Mecânica (PAV) é uma infecção relacionada à assistência à saúde que impacta diretamente a segurança do paciente. Este estudo teve como objetivo validar e avaliar uma tecnologia educacional voltada para a prevenção da PAV. Método: Trata-se de um estudo metodológico, envolvendo a produção e validação de uma tecnologia educacional. A validação foi realizada com a participação de 33 profissionais de saúde de diferentes regiões do Brasil, utilizando o Índice de Validade de Conteúdo (IVC) e a Razão de Validade de Conteúdo (RVC). A avaliação do material foi conduzida com cinco equipes de Unidades de Terapia Intensiva (UTIs), representando as cinco regiões do país, seguindo os princípios da Ciência da Melhoria em Saúde (CMS) e o ciclo PDSA (Planejar, Fazer, Estudar e Agir). Resultados: Os itens com pontuação superior a 85% em clareza e relevância compuseram o "Guia Prático para Prevenção de Pneumonia Associada à Ventilação Mecânica". As equipes consideraram o guia uma ferramenta viável para implementação nas UTIs. Conclusão: O uso do material educativo à beira do leito facilitou a avaliação rápida de pacientes em ventilação mecânica, promovendo aprendizado prático e reforçando a educação permanente. A integração da CMS e do ciclo PDSA destacou as intervenções como processos contínuos de aprendizado e evolução, tanto profissional quanto organizacional, superando a abordagem de ações pontuais.
A compreensão do brasileiro sobre o ensino não-presencial após as limitações pela pandemia de COVID-19
Authors: Rodrigues Eliesé Idalino , Leal Cledinaldo Borges , Filho João da Mata Carvalho Pereira , Rodrigues Elildo Idalino
Published: January 2025

A Educação a Distância vem ganhando espaço na academia há algumas décadas e, com sua evidência, foram surgindo também diversos questionamentos sobre a sua qualidade. A pandemia de Covid-19 intensificou ainda mais as discussões. Objetivou-se entender o posicionamento do brasileiro sobre a EaD após as limitações impostas pela pandemia de Covid-19. Foi aplicado um questionário do Google Forms divulgado por meio de posts patrocinados no Instagram. Os resultados obtidos com os 469 participantes evidenciaram um certo desconhecimento sobre a temática e reproduziram, em parte, o discurso de baixa qualidade na EaD, e um padrão que varia com a faixa etária e o perfil (local de fala) do participante.
Sífilis gestacional e congênita como parâmetro de qualidade de pré-natal de indígenas na Ilha do Bananal-Tocantins: um estudo transversal
Authors: Campos Rafaela Chaves , Santos Maria Isabel Quaranta Lobão dos , Rodrigues Julia Beatrice Leite , Okochi Regiane Cristina Neto
Published: January 2025

Introdução: A sífilis, infecção sexualmente transmissível causada pela bactéria Treponema pallidum, é um grave problema de saúde pública, com taxas crescentes, especialmente em gestantes, resultando em complicações perinatais e transmissão congênita. O acesso ao diagnóstico e tratamento adequado durante o pré-natal é fundamental para mitigar esses impactos. Entre as populações indígenas, barreiras culturais e geográficas dificultam a adesão ao pré-natal, exacerbando a prevalência de sífilis gestacional (SG) e sífilis congênita (SC). Objetivo: Analisar o acesso ao pré-natal pelas gestantes indígenas da etnia Inỹ no sul do Tocantins e mensurar os índices de SG e SC nessa população em comparação com o estado. Metodologia: Realizada uma análise de dados secundários do Datasus, acerca do acesso ao pré-natal e incidência de SG e SC entre gestantes indígenas. Os dados foram comparados com os do estado e analisados conforme as especificidades culturais e sociais da etnia Inỹ. Resultados: Revelaram baixa adesão ao pré-natal entre gestantes indígenas, com taxas de SG e SC superiores à média estadual. Barreiras culturais, ausência de equipes multidisciplinares capacitadas e limitações geográficas foram identificadas como fatores agravantes. Discussão:  A análise sugere que a falta de acesso ao pré-natal e as desigualdades étnico-raciais afetam a saúde materno-infantil entre indígenas. Abordagens adaptadas à cultura e políticas de saúde direcionadas são necessárias para melhorar os desfechos. Conclusão:  A alta prevalência de SG e SC entre indígenas destaca a necessidade de estratégias inclusivas que promovam o acesso equitativo à saúde materna, respeitando as especificidades culturais da etnia Inỹ.
Associação entre o diagnóstico precoce da psoríase e a progressão da doença: uma revisão sistemática
Authors: Falcone Ana Carla Aquino de Araújo , Durand Analuiza Batista , Chaves Elliott Victor de Sousa , Neto Humberto Espínola Guedes , Freire Júlio César Guimarães , Carneiro Filipe Cruz , Brito Esther Bastos Palitot de , Coelho Hemílio Fernandes Campos
Published: January 2025

A psoríase é uma doença crônica da pele, não contagiosa, reconhecida por sua alta prevalência mundial. Sugere-se que a intervenção precoce pode reduzir custos para o Sistema Único de Saúde. Objetivo: avaliar se o diagnóstico e tratamento precoce da psoríase influenciam na progressão da doença e, na possibilidade de remissão. Métodos: Trata-se de uma revisão sistemática com abordagem analítica e descritiva sobre a evolução e o diagnóstico precoce da psoríase. Resultados: foram encontradas 307 publicações, das quais 6 compuseram a amostra final com resultados agrupados em dimensões temáticas. Três (50%) publicações indicaram potenciais benefícios dos biomarcadores séricos para diagnóstico precoce e gravidade da psoríase. Dois (33,3%) estudos focaram nos biomarcadores genéticos relacionados ao risco, duração e gravidade da doença. Apenas um (16,7%) estudo associou o curso da doença ao uso de tratamento proativo. Conclusão: torna-se promissor o desenvolvimento de uma rotina computacional determinística para a classificação de indivíduos que possuam ou não a psoríase, bem como os seus níveis de severidade a partir dos indicadores apresentados na revisão sistemática, auxiliando assim a detecção precoce e tratamento precoce da psoríase, visando melhor controle da doença e até sua remissão.