bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prácticas finales de estudiantes de tecnología en regencia de farmacia como aporte a la atención primaria en salud
Authors: Ortiz Rendón Milena , Salazar Ospina Andrea , Cardona Alzate Laura 
Published: June 2024

Introducción. La Atención Primaria en Salud (APS) se erige como un componente fundamental de los sistemas de salud, caracterizado por un espíritu de autoresponsabilidad y autodeterminación, desempeñando un papel central en su estructura y funcionamiento, y contribuyendo al desarrollo socioeconómico global de la comunidad. En este contexto, el farmacéutico tiene un rol esencial, centrándose en la formulación de estrategias y actividades destinadas a promover el uso apropiado de medicamentos. Objetivo. Caracterizar el comportamiento bibliométrico de los trabajos de grado de estudiantes de Tecnología en Regencia de Farmacia de la Universidad de Antioquia, que aportan a la APS. Metodología. Estudio descriptivo con enfoque documental, enfocado en la caracterización de trabajos de grado de los estudiantes de Tecnología en Regencia de Farmacia de la Universidad de Antioquia, analizados a través de lo dispuesto en el repositorio CIDUA entre 2016 y 2022. Resultados. Se analizaron un total de 322 trabajos de grado, encontrando que los que estaban relacionados con la APS fueron 79 (42,1%) del sector asistencial y 56 (40.2%) del sector comercial. Conclusiones. Los trabajos de grado de los estudiantes de Tecnología en Regencia de Farmacia aportan de manera importante en áreas cruciales de la APS, promoviendo la adherencia al tratamiento, el uso adecuado y seguro de medicamentos, y la implementación de programas de seguridad y educación del paciente, dirigidos a grupos específicos de pacientes con enfermedades crónicas y de alto costo.
Kłamliwe, udane i błędne metafory sztucznej inteligencji chatbotów
Authors: Kreft Jan , Cyrek Barbara 
Published: June 2024

W czasach, gdy tzw. sztuczna inteligencja staje się integralną częścią dużych modeli językowych, osobistych asystentów czy np. tzw. inteligentnego domu, coraz ważniejsze staje się poznanie czynników postaw wobec niej i jej narzędzi. Obserwowany świt nowych możliwości identyfikowanych ze sztuczną inteligencją skłania do lepszego poznania metafor, którymi jest opisywana. Metafory stanowią bowiem nie tylko klucz do wyjaśniania nieznanego, ale mają znaczącą wartość heurystyczną, są fundamentem nowoczesnej racjonalności i mogą wypierać ludzki osąd oraz minimalizować uprzedzenia i krytyczną refleksję.
Celem artykułu jest identyfikacja metafor oraz rozpoznanie ich performatywnej roli w dyskusji o sztucznej inteligencji i jej narzędziach. Przedmiotem badania są występujące w opisach mediów i nowych technologii metafory dominujące oraz mniej znane metafory chatbotów obecne w tekstach dziennikarskich, na przykładzie artykułów opublikowanych w opiniotwórczym The New York Times.
W ramach badania identyfikujemy i analizujemy m.in. metafory „platformy”, „sieci”, „umysłu jako maszyny” oraz ożywione i nieżywione metafory towarzyszące sztucznej inteligencji i jej aktorów. Badamy ich perswazyjny charakter i cele tej perswazji.
Prevalence and Risk Factors of Child Marriage among Madhesi Women in Nepal's Terai Region
Authors: Karki Rajesh , Gupta Mohini , Kaphle Maheshor 
Published: June 2024

Objective: Child marriage is a detrimental practice with negative consequences for girls' health and well-being. This study aims to identify the prevalence of child marriage and associated risk factors within the Madhesi community.
Materials and methods: A cross-sectional study was conducted in a sub-metropolitan city of Lumbini Province, Nepal, in 2023. A total of 352 married women were randomly selected using simple random sampling and interviewed using a structured questionnaire between March 28th and April 17th. Descriptive categorical variables were expressed as proportions. Risk factors associated with child marriage were measured using the Chi-square test and multivariate logistic regression analysis. All statistical analyses were performed using SPSS version 26.
Results: The majority of respondents (36.1%) were in the age group 21-25, with a mean age of 25.90 years ± 4.6 years. Most respondents (48.9%) received only basic-level education, with the majority (72.4%) reporting their parents as having no formal education. The primary family occupation was farming (40.1%). The prevalence of child marriage was high (77.0%), with a median marriage age of 18 years. Logistic regression analysis revealed significant risk factors including lower education levels of respondents and their parents, husband's occupation, lack of awareness about the legal marriage age, limited decision-making power regarding marriage, belief in the dowry system, discussions with friends about child marriage, and occurrence of child marriage among friends.
Conclusion: Despite legal prohibition, child marriage remains prevalent in the Madhesi community. Educational interventions targeting women and parents, empowering women with decision-making authority, and addressing the dowry system are crucial for reducing this harmful practice.
Grain-size control on organo-clay complexation and REE fractionation in the Paleozoic strata of the Permian Basin (West Texas, U.S.A.)
Authors: Green Hunter , Šegvić Branimir , Badurina Luka , Omodeo-Salé Silvia , LE Bayon Ronan 
Published: June 2024

AbstractAs a major component of mudstone, clay minerals are known to conserve organic matter (OM) as well as a range of trace elements through the mechanisms of adsorption, encapsulation, and/or intercalation. The associations of the clay minerals on one hand and trace elements and OM on the other hand impact the diagenetic evolution of such rocks and is of substantial importance for their characterization and assessment. Subsurface core samples collected from late Paleozoic mudstone in the Permian Basin of Texas were separated into four grain-size fractions (&gt; 2 µm, 2 to 1 µm, 1 to 0.6 µm, and &lt; 0.6 µm) to determine the clay mineralogy, OM abundances, and rock geochemistry using a suite of diffraction, spectroscopic, and chemical analyses. All separates largely consisted of illite–smectite (I-S), illite–tobelite–smectite (I-T-S), mica/illite and chlorite coupled with some minor quartz and feldspar. The smectite component of I-S was shown to increase with decreasing grain-size fractions. Additionally, the rise in the content of smectite interlayers correlated with an increase in the total-organic-carbon (TOC) content towards the finest grain-size separates in all samples. This suggested that a significant portion of the TOC content resided in the fraction below 2 µm and that smectite interlayers promoted the preservation of OM. Concentrations of rare earth elements (REE) were found to be the highest in the finest grain-size separates and align with an increased content of smectite interlayers, denoting a plausible interaction between the two. Further on, REE and TOC concentrations display a significant positive correlation in all size fractions and increase with respect to smectite-interlayer content. This three-component relation suggests the REE adsorption to illite–smectite was likely promoted by OM. Understanding the close relation between the clay minerals, OM, and trace-element content is indicative of polyvalent cationic bridging, ligand exchange, and organo-metallic complexation, which eventually leads to the enrichment of OM and fractionation of REE in mudstone.
Integrated InSAR-GPS Monitoring of an Underground Gas Storage (UGS) Field: The Minerbio Pilot Test
Authors: Codegone G. , Piras M. , Dabove P. , Mantegazzi A. , Coti C. 
Published: June 2024

Abstract
In 2014 the Italian Oil & Gas Safety Authority published technical guidelines (Italian Guidelines for monitoring the seismicity, ground deformation and pore pressure) to regulate the monitoring of all existing and future underground activities on the Italian territory. The guidelines suggested that ground deformation monitoring of underground activities was carried out by integrating InSAR and continuous GPS techniques to detect possible surface deformation phenomena linked to the monitored activities during the considered time interval, and to provide information of their space-time variations with respect to the background conditions. The guidelines application on underground gas storage (UGS) was tested on the Minerbio gas field under the supervision of the National Institute of Geophysics and Volcanology (INGV). At the time of the pilot test, Minerbio had a high-quality record of about 15 years of InSAR data and 10 years of CGPS data (from the MINE station). The presented case study shows how the Minerbio ground deformation monitoring system was implemented during the testing phase. The time series of MINE, sited in 2008 in a peripheral area of the field, show that it measures seasonal oscillations in the North-planar component and a certain seasonality in the East-planar component: considering such results, the InSAR data were used to identify a proper site for a second CGPS station with the aim to integrate the results of MINE. The new station MIN2 was placed in 2019 in the center of the field, near the vertical and East-planar InSAR amplitude peaks. The correlation analysis between the CGPS signals and the cumulative curve of UGS volumes of the Minerbio field indicates a strong correlation in the North-planar component for the MINE station and a strong correlation in the East-planar and vertical components for the MIN2 station. According with ILG target, such results indicate that: (i) MIN2 effectively integrates the MINE results by detecting the peak of UGS-related, vertical and East-planar oscillations, (ii) the current geometric configuration of the two-station CGPS system effectively integrates the InSAR information by giving information on the spatial distribution of the North-planar component of ground deformation, and (iii) the integrated InSAR-CGPS monitoring system provides a complete picture of the distribution of UGS-related ground deformations on the Minerbio field.
Assessing the Alkali Polymer Flood Potential in Matzen Field Through Estimation of Remaining Oil Saturation with Partitioning Inter-Well Tracer Tests
Authors: Mikulic Silvan , Jevanord Kjersti , Hincapie Rafael E. , Hoffmann Eugen , Janczak Alyssia , Schnöller Johannes , Clemens Torsten , Apodaca Erick Cantu , Nikjoo Ehsan , Huseby Olaf , Hartvig Sven , Dirdal Eirik 
Published: June 2024

Abstract
Alkali-Polymer (AP) flooding is currently piloted as an Enhanced Oil Recovery (EOR) method in Matzen field. Assessing the remaining oil saturation (Sor) both before and after AP is essential for determining the potential gain and effectiveness of this EOR method. We present the application of Partitioning Inter-Well Tracer Test (PITT) in Matzen field to estimate the remaining oil saturation. Additionally, the validation of the PITT results through a series of core flood experiments is discussed.
The PITT deployment involves simultaneous injection of one ideal water-tracer together with a partitioning-tracer. While the ideal water-tracer only follows the water phase, the partitioning-tracer partitions into both oil and water phases at a predetermined ratio (K-value). Analyzing the time delay between the tracers enables the estimation of Sor between wells. Two PITTs were carried out in 8.TH and 16.TH reservoir of the Matzen field before AP pilot. A series of core flood experiments (with PITTs) were also conducted before and after AP to compare the estimated Sor from the PITT with the measured Sor from the core flood.
For all the projects, the K-value of the selected partitioning tracer was measured under reservoir condition by using representative oil and water fluids. A proper sampling regime were designed based on the estimated tracer arrivals and the collected samples were analyzed to measure the concentration of both ideal and partitioning tracers for Sor interpretation. The results of the core flood experiments show a good agreement between the measured Sor from the core and the estimated Sor from the PITT for both pre- and post-AP stages. The consistent result further validates the application of PITT method in Matzen. Additionally, the field PITT results provided an estimation of the remaining oil saturation between the well pairs, helping to assess the potential gain from AP and economic feasibility of the method. Furthermore, a comparison between the results of the ideal water tracer with the previous inter-well water tracer tests during the water and polymer floods improved the reservoir understand about the changes in flow paths and swept volume during each displacement method.
The study enhances the validation and application of the PITT method, particularly for estimating remaining oil saturation between injectors and producers in mature fields. The results are crucial for EOR methods, particularly in addressing AP flooding. The Matzen field showed higher residual oil saturation, reducing economic risk, and improving EOR opportunities.
A Deep-Learning-Based Reservoir Surrogate for Performance Forecast and Nonlinearly Constrained Life-Cycle Production Optimization Under Geological Uncertainty
Authors: Nguyen Quang Minh , Onur Mustafa 
Published: June 2024

Abstract
This study presents an efficient gradient-based production optimization method that uses a deep-learning-based proxy model for the prediction of state variables (such as pressures and saturations) and well outputs (such as bottomhole pressures and injection rates) to solve nonlinearly constrained optimization with geological uncertainty. The surrogate model is the Embed-to-control Observe (E2CO) deep-learning proxy model, consisting of four blocks of neural networks: encoder, transition, transition output, and decoder. The use of a transition output block in E2CO networks provides the capability of predicting reservoir system output directly from the input state variables without using any explicit well-model equations. The proxy model is coupled with a powerful stochastic-gradient-based line-search sequential quadratic programming (LS-SQP) workflow to handle robust production optimization in the presence of nonlinear state constraints. A portion of the SPE10 benchmark reservoir model with channelized heterogeneous permeability under waterflooding is used for demonstrating the prediction and optimization performances of the proposed E2CO-based framework. The results from this framework are directly and quantitatively compared with the ones simulated using a commercial high-fidelity reservoir simulator.
Leading the Energy Transition: A Novel Approach to Existing Gas Pipelines Retrofitting for Hydrogen Transport
Authors: Terenzi A. , Iacozza C. , Rossi C. , Scarsciafratte D. , Arcangeletti G. , Aloigi E. 
Published: June 2024

Abstract
Considering future developments and plans of decarbonization, the H2 pipeline transport technology will play a key role, and it could also be implemented as a component of an integrated system with CO2 pipelines (i.e. blue hydrogen). A key aspect of H2 technology development is the possibility to use existing natural gas transport infrastructure to be retrofitted for H2 transport.
It is recognized that the transport of natural gas mixtures containing a 10% of hydrogen content could be in general feasible in existing onshore natural gas pipeline systems with minor modifications. Higher hydrogen contents, however, appear to have a large impact on the system components, requiring significant modifications instead. The more important bottleneck is related to the utilization of carbon steel grades normally used for natural gas transmission pipelines. Most of literature sources report a higher susceptibility of high steel grades to hydrogen embrittlement, i.e. the loss of toughness in steel which results from adsorption of hydrogen. Corresponding to the loss of net material toughness is a reduction in fatigue life, causing crack growth and propagation.
There is a need to complement existing standards on hydrogen piping, pipeline and their components part of the hydrogen value chain to fulfill the energy transition design scenarios and the need to reuse existing gas transport infrastructure to support the economics of the transition. This translates to the definition of a clear methodology to carry out the assessment of existing natural gas pipeline systems (both onshore and offshore), in such a way to identify the tolerance to hydrogen of the different system components. All the engineering disciplines need to be involved, including piping & materials, machinery, instrumentation, as well as loss prevention & safety.
Since the potential transport service conversion is normally carried out in steps, starting from a low H2 content in the blend with natural gas up to possibly 100% H2, the number of affected components will increase during this evolution; some of them could be ready to tolerate 100% H2 from the beginning, others will need some modifications, while some will need a complete replacement.
This paper presents a description of Saipem methodology, that has been applied to a number of conversion studies relevant to transport systems mainly located in Europe.
3D Field Structural Model Update by Incorporating Geosteering 2D Structural Interpretations in UGS Reservoir Application. Northern Italy
Authors: Sudiro P. , Mantegazzi A. , Pozzovivo V. , Codegone G. 
Published: June 2024

Abstract
Geosteering consists in the integration of different formation evaluation and drilling technologies, together with 3D and 2D reservoir modelling, to optimize the placement of highly deviated wells within a selected interval of the reservoir. During geosteering, the 2D structural model is constantly updated to fit the geological model to the observed data, in order to plan the required trajectory adjustments and keep the wellbore within the target interval. The introduction of deep reading measurements and inversion modelling allows consistently mapping and tracing one or multiple formation boundaries along the wellbore, without ever crossing these boundaries. Incorporating reservoir and near-reservoir data acquired during geosteering operations allows improving the 3D field models for future planning of new wells. The presented case study shows how, integrating high-resolution 2D structural mapping delineated during the geosteering of two wells drilled in a UGS field, can improve the quality of the field 3D structural model. The scalability of the process means that both the information from new wells drilled and from reprocessed legacy data can be incorporated, enhancing the structural understanding of the sub-surface. In the current application, two wells were imported and processed together, but there is no limitation to the number or sequence of well data imported and reprocessed: as new wells are drilled, these can be added to the 3D structural model for further processing and refinement. Alternatively, if suitable data were available form older wells that were not used to adjust the 3D structural model, they could be reanalyzed and reintegrated to update the structural model.
Decarbonization Challenges in Oil Refining: A Perspective on Blue Hydrogen Production at Panchevo Oil Refinery
Authors: Nešic S. , Fominykh S. , Vertlyugina A. , Sizykh A. , Božovic U. 
Published: June 2024

Abstract
The paper aims to outline the technical challenges and opportunities associated with implementing blue hydrogen production in the Panchevo oil refinery. It will emphasize a viable pathway for decarbonization, focusing on optimizing carbon capture and storage technologies, ensuring cost-effectiveness, and addressing environmental concerns. The scope includes contributing to the refinery's sustainability goals and fostering innovation in the energy transition. The approach involves utilizing Aspen Hysys for CO2 emission calculations, assessing all refinery emitters, and defining the carbon footprint. The required CO2 reduction for European blue hydrogen standards has been determined. Physical space needs for a carbon capture unit are analyzed, with parcel allocation. Three hydrogen production scenarios are evaluated using facility data and specialized software. This comprehensive methodology ensures a thorough examination of technical challenges and opportunities in implementing blue hydrogen production at the Panchevo oil refinery, emphasizing sustainability and adherence to European standards. The study employed Aspen Hysys with a Gibbs reactor to model fuel combustion, optimizing Gibbs free energy for phase and chemical equilibrium. Adjusting air flow to measured oxygen values, it was found that HPU emissions contribute 41% to total refinery emissions. Steam Methane Reforming data revealed current hydrogen production and the plant's underutilization at 50-60% capacity, indicating room for expansion. Implementing carbon capture technology enables the monetization of premium blue hydrogen. Analysis of three scenarios, with additional daily hydrogen production of 20t/day, 35t/day, and 50t/day, consistently showed a 74% emission reduction to meet blue hydrogen standards, equating to 350,000–530,000 tCO2/year for capture and storage. The proposed solution involves transporting captured CO2 via a pipeline to a depleted gas field located 40 km from the refinery, aligning with sustainability goals.
Well Integrity Tests for Geological CO2 Storage Using Large-Scale Experimental Setup
Authors: Nassan T. H. , Baganz D. , Alkan H. , Opedal N. , Amro M. 
Published: June 2024

Abstract
Well integrity plays an important role in any subsurface operation since the wellbore connects the target formation with surface facilities. Any compromising of well integrity may lead to unsafe operation, harm the environment, and may lead to complete failure of the project. This study introduces new built setup to study well integrity through permeability measurement of different wellbore components allowing new insights on the risk management of the geologic carbon storage projects.
To study wellbore size sections like of casing-cement, cement-rock, or even casing-cement-rock, a large- scale facility was built at our underground laboratory at 150 m underground. The facility weighs approx. 3 tons with a length of 2 m, and a diameter of 0.7 m. It can handle samples of size 80 cm length and 30 cm diameter. Working pressure and temperature are up to 20 MPa, and 100 °C, respectively. The facility is equipped with two chamber real-time permeability measurement system that can determine the effective permeability of wellbore components based on transient method. Effective permeability of casing-cement composites is measured using CO2 at ambient and subzero temperatures to ensure the well integrity during CO2 injection in depleted oil and gas reservoirs.
Preparation of casing-cement samples requires special conditions to preserve integrity of the samples and avoid damage. The preliminary results show that the tested samples exhibit expected values of permeability at ambient temperatures (lower than 1×10−17 m2). Subzero temperatures, down to -11 °C have no effect on original permeability i.e., no increase in permeability after thawing. Pressure cycling experiments showed that the effective pressure and exposure time to CO2 play the most important role in permeability degradation. Furthermore, small pure cement cylinders (10 cm× 10 cm) were prepared and tested on a small-scale facility (analogous to the large-scale setup) to compare the results with the composites. In addition, the permeability of the composites was measured -before and after CO2 exposure- with H2 to account for the reduction in permeability due to the geochemical reactions. It was concluded that the permeability has decreased at least in one order from 10−18 m2 to 10−19 m2 owing to the reaction.
The large-scale facility has been used for HYPOS (Germany) project and currently working for RETURN (EU) project as well. Its uniqueness is in the broad range of pressure and temperature working conditions and handling wellbore sections of the size 1:1. The results provide new insights into the risk management of storage projects saving time and cost.