Miracle-dz/UniFAR-FTUs huggingface dataset:
MINERÍA DE ROLES EN UNA PLATAFORMA DE GESTIÓN DE PROYECTOS ACADÉMICOS

The present study is about the implementation of role-based access control system of the platform of the subject Análisis y Diseño de Software of the university Federico Santa María. For that purpose, it was found the optimal set of roles that allows to relate the users of this system with their respective access permissions, in other words, the "Role Mining Problem"(RMP ) was solved for the given system. This in order to improve the security, maintenance and administration of this system. This study presents a criterion for choosing the most suitable RMP approaches. Based on this criterion, 4 possible approaches were identified (Basic-RMP, Edge-RMP, RHMP and WSCO), which share the objective of minimizing the size of one or more elements of the RB AC model. From the previous approaches, WSCO was selected for its adaptability to various objectives. The metric Weighted Structural Complexity (W SC ), along with various weight vectors, was used to evaluate the quality of the proposed solutions. In this study were chosen the most effective role mining algorithms, that are aligned with W SCO, which are: H M , GO, HPe and HPr . Using the RMiner tool (free to use), it was possible to execute each algorithm based on the different weight vectors used. From the results obtained, it is outstanding that w sc effectively evaluates the quality of the solutions proposed by the various algorithms. Also, it was identified that the most important characteristic of a role corresponds to the number of users assigned. Finally, it stands out that GO obtained the best solution and H M was the worst, due to the excessive amount of roles, relationships and assignments.
RESEARCH ON 3D MEASUREMENT TECHNOLOGY BASED ON MACHINE VISION

Measurement is an important means for humans to understand and transform the world, and it is the technological foundation for breaking through the forefront of science and solving major problems in economic and social development. The three-dimensional measurement system serves primary national needs, leads national economic development, and ensures national defense security. With the arrival of a new industrial revolution, major industrial countries worldwide have begun to accelerate the strategic deployment of intelligent manufacturing. As an essential component of the construction of smart factories and lighthouse factories, the 3D measurement system will play a vital role in deepening the implementation of the manufacturing power strategy and promoting the high-end, intelligent, and green manufacturing process. In recent years, optical 3D measurement technology represented by surface structured light has developed rapidly and has been widely applied in multiple material processing fields such as forging, casting, and sheet metal. To analyze the manufacturing accuracy of complex parts using surface structured light 3D measurement technology, it is necessary to first scan and reconstruct the overall 3D surface of the part. The reconstructed 3D point cloud data of the part surface should be roughly and precisely matched with the design model. Finally, based on this, data comparison and accuracy analysis should be carried out according to the actual detection requirements of different types of parts. In this process, the accuracy of 3D reconstruction of complex parts and the alignment accuracy between the reconstruction results and the design model directly determine the reliability and accuracy of the final part manufacturing and machining accuracy analysis. This article uses cases to illustrate the application of machine vision in 3D online measurement. The application of three-dimensional measurement technology in online quality inspection and grinding of blades can not only improve the measurement accuracy of online quality inspection of blades but also maintain the relative stability of robot grinding force and improve the grinding effect in robot grinding of aircraft engine blades. Applied to online quality inspection of train wheel hubs, three-dimensional measurement of train wheel adapters and high-speed train wheel size online inspection has been achieved.
Utilization of Demolished Waste as Coarse Aggregate in Concrete

Demolishing concrete building usually produces huge amounts of remains and wastes worldwide that have promising possibilities to be utilized as coarse aggregate for new mixes of concrete. High numbers of structures around the world currently need to be removed for several reasons, such as reaching the end of the expected life, to be replaced by new investments, or were not built by the local and international standards. Maintaining or removal of such structures leads to large quantities of concrete ruins. Reusing these concrete wastes will help in saving landfill spaces in addition to more sustainability in natural resources. The objective of this study is to investigate the possibility of using old recycled concrete as coarse aggregate to make new concrete mixes, and its effect on the evolution of the compressive strength of the new concrete mixes. Core samples for demolished concrete were tested to determine its compressive strength. The core test results can be thought of as aggregate properties for the new concrete. Then, the compressive strength and splitting tensile strength of the new recycled aggregate concrete (RAC) were determined experimentally by casting a cubes and cylinders, respectively. It was found that the evolution of compressive strength of recycled aggregate concrete is similar in behavior to the concrete with natural aggregate, except that it is about 10% lower in values. It was also seen that water absorption for recycled aggregate is noticeably higher than that for natural aggregate, and should be substituted for in the mix design.
Comparison of visual improvement based on the Potential Visual Test "Retinometry" in patients with Posterior Capsular Opacity Fibrotic and Regenerative types before and after Nd YAG Laser Capsulotomy

Background: Posterior Capsular Opacity (PCO) can disrupt a patient's vision and is a prevalent challenge medical professionals face in restoring visual clarity after cataract surgery. Various evaluation methods can be employed to measure visual improvement and the efficacy of Nd: YAG Laser Capsulotomy. One such method is Retinometry, which harnesses interference patterns of light on the retina as light passes through the pupil to provide patients with relevant information regarding the potential outcomes of Nd: YAG Laser Capsulotomy. This study aims to review the efficacy of the potential vision test "Retinometry" in patients with posterior capsular opacity before and after Nd: YAG Laser Capsulotomy. Methods: Literature searching was conducted using six online databases (PubMed, Scopus, Science Direct, Clinical Key, and Google Scholar). Search terms included a combination of main keywords: "Retinometer", "Posterior Capsulotomy", "Nd: YAG laser", and "Visual Acuity". Results: A total of 5 articles were included in this review. It’s found that the retinometer visual potential test has a function in evaluating the effects that occur and visual function after Nd: YAG laser capsulotomy. Due to the increasing incidence of cataract surgery, the rise of IOL placement will increase the risk of PCO formation and the need for Nd: YAG capsulotomy. Conclusion: Posterior Capsular Opacity (PCO) management remains a significant concern in patients post-cataract surgery, given its potential to disrupt visual acuity. Neodymium-doped Yttrium Aluminum Garnet (Nd: YAG) laser capsulotomy is a practical approach for addressing PCO-related visual impairment. Still, its impact on visual improvement may be modest, especially regarding refractive measurements. The type of lens used does not significantly influence the procedure outcomes. As the incidence of cataract surgery continues to rise, the prevalence of PCO and the need for Nd: YAG capsulotomy are likely to increase.
Reliability assessment of a new general matching composed network

The reliability of a network is an important indicator for maintaining communication and ensuring its stable operation. Therefore, the assessment of reliability in underlying interconnection networks has become an increasingly important research issue. However, at present, the reliability assessment of many interconnected networks is not yet accurate, which inevitably weakens their fault tolerance and diagnostic capabilities. To improve network reliability, researchers have proposed various methods and strategies for precise assessment. This paper introduces a novel family of interconnection networks called general matching composed networks (gMCNs), which is based on the common characteristics of network topology structure. After analyzing the topological properties of gMCNs, we establish a relationship between super connectivity and conditional diagnosability of gMCNs. Furthermore, we assess the reliability of gMCNs, and determine the conditional diagnosability of many interconnection networks.
Fragility and Tendency to Crystallization for Structurally Related Compounds

The present study was designed to investigate the physical stability of three organic materials with similar chemical structures. The examined compounds revealed completely different crystallization tendencies in their supercooled liquid states and were classified into three distinct classes based on their tendency to crystallize. (S)-4-Benzyl-2-oxazolidinone easily crystallizes during cooling from the melt; (S)-4-Benzylthiazolidine-2-thione does not crystallize during cooling from the melt, but crystallizes easily during subsequent reheating above Tg; and (S)-4-Benzyloxazolidine-2-thione does not crystallize either during cooling from the melt or during reheating. Such different tendencies to crystallize are observed despite the very similar chemical structures of the compounds, which only differ in oxide or sulfur atoms in one of their rings. We also studied the isothermal crystallization kinetics of the materials that were shown to transform into a crystalline state. Molecular dynamics and thermal properties were thoroughly investigated using broadband dielectric spectroscopy, as well as conventional and temperature-modulated differential scanning calorimetry in the wide temperature range. It was found that all three glass formers have the same dynamic fragility (m = 93), calculated directly from dielectric structural relaxation times. This result verifies that dynamic fragility is not related to the tendency to crystallize. In addition, thermodynamic fragility predictions were also made using calorimetric data. It was found that the thermodynamic fragility evaluated based on the width of the glass transition, observed in the temperature dependence of heat capacity, correlates best with the tendency to crystallize.
Estudiantes universitarios y su importancia en los cambios barriales: ¿hacia nuevos modelos de gentrificación en espacios periféricos?

Este artículo analiza e interpreta los cambios producidos en el barrio de Agüita de la Perdiz (Concepción - Chile), como consecuencia de la llegada de estudiantes universitarios al mismo. Pese a que los estudios anglosajones han puesto de manifiesto en los últimos años la importancia de los llamados procesos de studentification como detonantes de transformaciones físicas, sociales, económicas y culturales en los barrios, asimilándolos en ocasiones a manifestaciones globales de un fenómeno de gentrificación, apenas existen estudios desde otros contextos socioespaciales. A partir de estas premisas, el presente trabajo analiza e interpreta estos aspectos mediante una metodología que combina el uso de datos cuantitativos y cualitativos, obteniendo unos resultados que ratifican la existencia de algunas transformaciones que también se dan en otros casos de estudio, junto con otras particulares, explicables por la propia singularidad del barrio e identificables con el carácter socialmente periférico y el propio origen informal del caso analizado.
On Multiple Hall‐Like Electron Currents and Tripolar Guide Magnetic Field Perturbations During Kelvin‐Helmholtz Waves

Two magnetopause current sheet crossings with tripolar guide magnetic field signatures were observed by multiple Magnetosphere Multiscale (MMS) spacecraft during Kelvin‐Helmholtz wave activity. The two out‐of‐plane magnetic field depressions of the tripolar guide magnetic field are largely supported by the observed in‐plane electron currents, which are reminiscent of two clockwise Hall current loop systems. A comparison with a three‐dimensional kinetic simulation of Kelvin‐Helmholtz waves and vortex‐induced reconnection suggests that MMS likely encountered the two Hall magnetic field depressions on either side of a magnetic reconnection X‐line. Moreover, MMS observed an out‐of‐plane current reversal and a corresponding in‐plane magnetic field rotation at the center of one of the current sheets, suggesting the presence of two adjacent flux ropes. The region inside one of the ion‐scale flux ropes was characterized by an observed decrease of the total magnetic field, a strong axial current, and significant enhancements of electron density and parallel electron temperature. The flux rope boundary was characterized by currents opposite this axial current, strong in‐plane and converging electric fields, parallel electric fields, and weak electron‐frame Joule dissipation. These return current region observations may reflect a need to support the axial current rather than representing local reconnection signatures in the absence of any exhausts.
Modeling Specialized Electric Power Generators, Excitation Systems and Prime Movers used by North American Utilities

The North American Electric Reliability Corporation (NERC) is expected to mandate model validation of power plant equipment in the near future. This will create a need to validate models for a large fleet of existing and future power plants. Historically, model validation of synchronous generators, excitation system, turbine governor, and other power system equipment has been conducted in diverse platforms. As a contribution to the power system model implementation using Modelica language and validation against commercial tools this work continues to develop power system component models and enriching the Open-Instance Power System Library (OpenIPSL). As a part of the development of OpenIPSL this paper describes the development of models used by North American utilities that follow NERC modeling requirements, including models of a synchronous generator, an excitation system, a turbine and governor using Modelica language in Dymola. The component implementation process is described and the validation of the models implemented in Modelica against PSS/E using both a single machine infinite bus (SMIB) and multi-machine system models is illustrated.
Difficult-To-Treat and Severe Asthma: Can Real-World Studies On Effectiveness of Biological Treatments Change the Lives of Patients?

Abstract Many different phenotypes that characterize severe asthma are supported by intricate pathomechanisms called endotypes. The latter are driven by molecular interactions, mediated by intercellular networks. With regard to the biological treatments of either allergic or non-allergic eosinophilic type 2 asthma, real-world studies have confirmed the positive effects of currently available antibodies directed against immunoglobulins E (IgE), interleukin-5 (IL-5) and its receptor, as well as the receptors of interleukins-4 (IL-4) and 13 (IL-13). The best way to treat severe asthma should be chosen based on the peculiar phenotypic and endotypic traits of each patient. This will lead to relevant improvements in both clinical and functional outcomes. In particular, biological therapies can change the lives of asthma patients with a strong impact on quality of life. Unfortunately, patients with severe non-type-2 asthma, who continue to have pertinent unmet needs, are not receiving satisfactory advances within the context of biological treatments. It is also hopeful that in the next future new therapeutic strategies will be specifically implemented for these people, perhaps offering them the opportunity to improve their current, mostly inadequate asthma management.
Visual Inertial SLAM Algorithm With Point-Line Features

Aims to figure out the issue of dilemma in extracting enough effective feature points in weakly textured scenes, which leads to poor accuracy and robustness of the monocular feature-based visual-inertial SLAM system, a dual-camera SLAM algorithm based on the fusion of point-line visual features and inertial measurement unit (IMU) is planned. Firstly, an improved EDLines algorithm is adopted based on ORB-SLAM3 to fuse the extraction of line features and use the Plucker coordinate representation for the extracted line segments. Secondly, the LBD descriptor is utilized to describe and match the extracted line segments. Additionally, the information from the IMU is introduced and tightly coupled with visual information for optimization, aiming to enhance the algorithm’s accuracy. Finally, the algorithm is tested and estimate the EuRoC dataset. Compared to the native EDLines algorithm, the results of the experiment indicates that the improved EDLines algorithm achieves a 10.7% modification in positioning accuracy. Moreover, the improved SLAM algorithm reduces the average positioning error by 9.6% compared to the native ORB-SLAM3. These results demonstrates that the algorithm effectively enhances the robustness and accuracy of positioning in weak texture scenarios.
Selective Removal of Chlorophyll and Isolation of Lutein from Plant Extracts Using Magnetic Solid Phase Extraction with Iron Oxide Nanoparticles

In recent years, there has been a growing interest in plant pigments as readily available nutraceuticals. Photosynthetic pigments, specifically chlorophylls and carotenoids, renowned for their non-toxic antioxidant properties, are increasingly finding applications beyond their health-promoting attributes. Consequently, there is an ongoing need for cost-effective methods of isolation. This study employs a co-precipitation method to synthesize magnetic iron oxide nanoparticles. Scanning electron microscopy (SEM) coupled with energy dispersive spectrometry (EDS) confirms that an aqueous environment and oxidizing conditions yield nanosized iron oxide with particle sizes ranging from 80 to 140 nm. X-ray photoelectron spectroscopy (XPS) spectra indicate the presence of hydrous iron oxide FeO(OH) on the surface of the nanosized iron oxide. The Brunauer–Emmett–Teller (BET) surface area of obtained nanomaterial was 151.4 m2 g−1, with total pore volumes of pores 0.25 cm3 g−1 STP. The material, designated as iron oxide nanoparticles (IONPs), serves as an adsorbent for magnetic solid phase extraction (MSPE) and isolation of photosynthetic pigments (chlorophyll a, lutein) from extracts of higher green plants (Mentha piperita L., Urtica dioica L.). Sorption of chlorophyll a onto the nanoparticles is confirmed using UV–vis spectroscopy, Fourier transform infrared photoacoustic spectroscopy (FT-IR/PAS), and high-performance liquid chromatography (HPLC). Selective sorption of chlorophyll a requires a minimum of 3 g of IONPs per 12 mg of chlorophyll a, with acetone as the solvent, and is dependent on a storage time of 48 h. Extended contact time of IONPs with the acetone extract, i.e., 72 h, ensures the elimination of remaining components except lutein, with a spectral purity of 98%, recovered with over 90% efficiency. The mechanism of chlorophyll removal using IONPs relies on the interaction of the pigment’s carbonyl (C=O) groups with the adsorbent surface hydroxyl (–OH) groups. Based on molecular dynamics (MD) simulations, it has been proven that the selective adsorption of pigments is also influenced by more favorable dispersion interactions between acetone and chlorophyll in comparison with other solutes. An aqueous environment significantly promotes the removal of pigments; however, it results in a complete loss of selectivity.
Yield, fruit and oil content of some olive (Olea europaea L.) cultivars field-grown in Tunisia

This study aims at characterizing nineteen cultivars of olive trees cultivated in the region of Chott Mariem in the coastal part of Tunisia under rainfed conditions. For that yield and pomological parameters were followed during four years from 2010 to 2013. We noticed a significant (P < 0.05) varietal differences in terms of yield, physical characteristics of the fruit and the oil content. Moreover, there were some fluctuations in the yield between years and a severe alternate bearing was clearly observed. Each cultivar expressed different pomological characters. The largest fruits were given by ‘Tounsi’ and ‘Ascolana’, averaging respectively 7,98 and 6,09 g, whereas ‘Chemlali’ (0,74 g) and ‘Chetoui’ (1,91 g) had the smallest ones. Based on our results, ‘Meski’, ‘Roumi’, ‘Besbessi’, ‘Picholine’ and ‘Lucques’ produced the highest cumulative yield over the four years of study. The highest oil content was observed in ‘Picholine’ (19,62%), ‘Fougi’ (17,42%), ‘Chemlali’ (14,34%) and ‘Chemchali’ (14,05%). Finally and based on our results in the Chott Mariem region, ‘Dahbia’ and ‘Lucques’ were suggested to be more appropriate for table olive production whereas; ‘Fougi’ and ‘Chemchali’ were the most suitable for oil production. ‘Picholine’ could be considered as a cultivar with double use
Maltodextrin-Based Cross-Linked Electrospun Mats as Sustainable Sorbents for the Removal of Atenolol from Water

Maltodextrins are products of starch hydrolysis that can be processed into dry fibres through electrospinning and subsequently cured via mild thermal treatment to obtain nonwoven cross-linked polysaccharide-based mats. The sustainability of the process and the bioderived nature make this class of materials suitable candidates to be studied as renewable sorbents for the removal of contaminants from water. In this work, electrospinning of water solutions containing 50% wt. of commercial maltodextrin (Glucidex 2®) and 16.6% wt. of citric acid was carried out at 1.2 mL/h flow and 30 kV applied voltage, followed by thermal curing at 180 °C of the dry fibres produced to obtain cross-linked mats. Well-defined fibres with a mean diameter of 1.64 ± 0.35 µm were successfully obtained and characterised by scanning electron microscopy, thermogravimetric analysis, and attenuated total reflectance Fourier transform infrared spectroscopy. Afterwards, a series of sorption tests were conducted to evaluate the effectiveness of the mats in removing atenolol from water. The results of the batch tests followed by HPLC-UV/Vis showed high sorption rates, with over 90% of the atenolol removed, and a maximum removal capacity of 7 mg/g. Furthermore, continuous fixed-bed sorption tests proved the positive interaction between the polymers and atenolol.