Miracle-dz/UniFAR-FTUs huggingface dataset:
Ontologías para conceptualización de modelos de negocio

Una de las principales actividades en el ciclo de vida del desarrollo del software es comprender el negocio actual, especialmente sus procesos, es decir, el modelo del proceso del negocio; los ingenieros de requisitos basados en las metodologias mas usadas, plasman necesidades y luego requisitos apoyados en lo que conocen del proceso a sistematizar, pero este conocimiento no queda documentado en ninguna parte, hoy esto genera un problema de reprocesamiento. Las ontologias actualmente se usan en un sin numero de areas, como la medicina, el turismo, la musica, la energia, entre otros, para todas estas, este tipo de herramienta de gestion de conocimiento, soporta la conceptualizacion del proceso del negocio de cualquier organizacion, es decir, esta herramienta permite documentar de la mejor manera, todo el proceso del modelo del negocio relacionando conceptos del proceso en particular y area de negocio de cualquier empresa de bienes y servicios. La gran ventaja de las ontologias es que pueden ser compartidas y accedidas en cualquier lugar y momento, ademas de que estas pueden complementarse de mas conceptos y definiciones de otras ontologias.
El Efecto Socioeconómico de la Pandemia COVID-19 en Ecuador

Due to the COVID-19 pandemic, the Ecuadorian economy has faced situations that have compromised its present and future stability. These events have forced the government to protect its citizens and generate efficient public health systems. In turn, the application of confinement measures has resulted in thousands of informal workers not being able to go out and generate their income. This means that infected individuals, in addition to fighting the disease, faced a reduction in their income. Through a static microsimulation approach, an increase in poverty (79.46%) and extreme poverty (69.98%) was found; in turn, there was a slight increase in inequality (0.65%). Finally, due to the deterioration in the economy, education and health, the development process was reduced (23.68%), eliminating the progress achieved in recent years in the country.
Trauma-Informed Acute Care of Patients With Violence-Related Injury

Violently-injured individuals presenting to the emergency department (ED) have an elevated risk of repeat injury after being discharged from acute care settings and a high rate of unaddressed mental health and social needs. While there is a growing body of programmatic interventions to address these needs, including hospital-based violence intervention programs, there is a lack of data regarding physician perspectives of current practice for this patient population. Understanding current practice is critical for integrating new programs into workflow and developing evidence-based medical education to improve care. The aim of this study is to elucidate current trauma-informed care practices of emergency medicine and general surgery trainee physicians to inform future curriculum development surrounding care of violently injured patients. In this study, emergency medicine and surgical trainees with at least one year of residency experience participated in simulation-primed interviews in pairs or small groups. Interviews garnered perspectives on the physician role in treating violently injured youth, using simulation as a priming event focused on previously known patient concerns. Qualitative themes that emerged were participants (1) perceived their role as managing medical/surgical concerns and seek others to build trust and manage psychosocial and legal concerns, (2) had a high level of knowledge of ED stressors and de-escalation strategies, (3) perceived that patient distrust can negatively impact their ability to provide care, and (4) perceived that law enforcement can negatively impact care and are sometimes uncertain about how to interact with law enforcement. These findings support that medical education for providers should focus on medicolegal issues, particularly managing law enforcement presence in the ED, structural and interpersonal causes of distrust of medical providers and the medical system, and addressing postdischarge mental health and social needs.
KARAKTERISTIK SIFAT FUNGSIONAL KACANG HIJAU KUKUS DENGAN VARIASI WAKTU PENGUKUSAN

Functional properties application of legumes species that including mungbean is basely affected by natural protein and starch complex structure. Steaming become one of several treatments which capable to break complex structure of starch-protein in addition to gelatinize starch and denaturate protein. This become a base of research about the effect of steaming duration on functional properties of mungbean. The factor which will be researched is steaming of mungbean that consists of six levels those are 0 minute, 1 minute, 2 minutes, 3 minutes, 4 minutes, and 5 minutes. Applied parameters include protein solubility, water binding capacity, oil binding capacity, foam forming capacity and stability, emulsion forming capacity and stability. The result reported that best treatment in several parameters consist of protein solubility, emulsion capacity and emulsion stability unsteamed mungbean (0 minute of steaming), whereas best treatment for foaming capacity is 1 minute duration of steaming and best treatment for foaming stability is 5 minutes. The best treatment for water binding capacity and oil binding capacity parameters is 3 minutes duration of steaming.
Participatory Community Pratices and Work Rearrangements:: Collective Reception of the Elderly

The present experience report addresses a process of change of workflow for marking consultations of the elderly in a Basic Health Unit of the city of Porto Alegre (RS), arranging it as a mechanism for community participation, strengthening and collective appropriation of the health-disease process, as well as the policy of the Unified Health System (SUS). Based on the report of this experimentation, built on team discussions and at the Local Health Council, we seek to make visible and discuss potentials and obstacles in the proposal of collective spaces for emancipation in basic care, based on health needs.
Adjusting for Misclassified Outcomes in a Multistate Model

Adjusting for Misclassified Outcomes in a Multistate Model Elizabeth A. Teeple Chair of the Supervisory Committee: Research Associate Professor Elizabeth R. Brown Department of Biostatistics In this dissertation, we present a new model that accounts for time-dependent sensitivity in multivariate outcome survival models. Our problem was motivated by an interest in estimating baseline risk and associated covariates of time to postnatal transmission of HIV from mother to child (MTCT). Studies of postnatal transmission may be subject to bias due to several factors, including informative censoring due to death, the competing risk of weaning, and imperfect sensitivity of diagnostic testing for HIV in infants. While these issues have been partially addressed in previous literature, no single approach addresses all three. We propose to jointly model time to postnatal infection, time to death, and time to weaning as three separate outcomes in a multistate model, which is a framework often used to describe the progression of a process through successive events. Conditional on the underlying multistate model, we define an additional random variable to measure the probability of detection as a function of time since infection, and the cumulative distribution of this random variable serves as a sensitivity function that increases over time. We focus first on jointly modeling time to postnatal infection and time to death as two outcomes of an illness-death model. To incorporate sensitivity, we define an exponential random variable for the delay in detection, with the exponential rate determined a priori from the literature. We specify a full likelihood by parameterizing the baseline transition intensities as flexible penalized spline functions and numerically calculate maximum likelihood estimates for all spline parameters and covariates of interest. We next expand the illness-death model to include time to weaning as an additional outcome of the model. As before, we specify an exponential delay random variable and define spline-based baseline transition intensities. To estimate the parameters, we implement a Bayesian MCMC algorithm, using the prior for the spline coe cients to impose smoothness. Finally, we compare the extended illness-death model to the simpler illness-death model and to ad-hoc methods often used in the applied literature. TABLE OF CONTENTS Page List of Figures . ii List of Tables . vi Chapter 1: Introduction . 1 Chapter 2: The illness-death model . 4 2.
Preparation and characterization of molecularly imprinted solid amine adsorbent for CO2 adsorption

A molecularly imprinted solid amine adsorbent was successfully synthesized via a facile crosslinking reaction based on polyethyleneimine (PEI) as the skeleton, glycol diglycidyl ether (GDGE) as cross-linker and CO2 molecules as template. FT-IR, FT-Raman, 13C NMR spectroscopy and TGA were employed to characterize the chemical structure and thermal stability of the solid amine adsorbent. The experimental results showed that the amine content of the molecularly imprinted polymer polyethyleneimine spheres (MIP-PEIs) could reach as high as 11.41 mmol g−1, and the material exhibited a lower CO2 diffusion resistance during CO2 adsorption. The CO2 adsorption capacity of MIP-PEIs (6.58 mmol g−1) was higher than that of non-imprinted NIP-PEIs (5.87 mmol g−1). The presence of water markedly increased the CO2 adsorption capacity by promoting the chemical adsorption of CO2 on the solid amine adsorbent. The pseudo-second order model could accurately describe the CO2 adsorption process on the MIP-PEIs from the beginning to the end. Moreover, this adsorbent also exhibited good regeneration performance, retaining almost the same adsorption amount of CO2 as the fresh material after ten adsorption–desorption cycles.
Preparation of mesoporous TiO2-SiO2 by ultrasonic impregnation method and effect of its calcination temperature on photocatalytic activity

aPhysics Group, Department of Sciences, Ahvaz Branch, Islamic Azad University, P.O. Box 61349-68875, Ahvaz, Iran, email: azadeh.haghighatzadeh. physics@gmail.com bDepartment of Materials Engineering, Malayer University, Malayer, Iran, email: b.mazinani@gmail.com cSchool of Metallurgy and Materials Engineering, Iran University of Science and Technology, Tehran 16846, Iran dResearch Institute of Petroleum Industry (RIPI), West Entrance Blvd., Olympic Village, P.O. Box: 14857-33111, Tehran, Iran
Strongly extended diffusion length for the nonequilibrium magnons in Y 3 F e 5 O 12 by photoexcitation

Deliberate control of magnon transportation will lead to an energy-efficient technology for information transmission and processing. Y3Fe5O12(YIG), exhibiting extremely large magnon diffusion length due to the low magnetic damping constant, has been intensively investigated for decades. While most of the previous works focused on the determination of magnon diffusion length by various techniques, herein we demonstrated how to tune magnon diffusion by light excitation. We found that the diffusion length of thermal magnons is strongly dependent on light wavelength when the magnon is generated by exposing YIG directly to laser beam. The diffusion length, determined by a nonlocal geometry at room temperature, is ~30 um for the magnons produced by visible light (400-650 nm), and ~136-156 um for the laser between 808 nm and 980 nm. The diffusion distance is much longer than the reported value. In addition to thermal gradient, we found that light illumination affected the electron configuration of the Fe3+ ion in YIG. Long wavelength laser triggers a high spin to low spin state transition of the Fe3+ ions in FeO6 octahedron. This in turn causes a substantial softening of the magnon thus a dramatic increase in diffusion distance. The present work paves the way towards an efficient tuning of magnon transport behavior which is crucially important for magnon spintronics.
Shock electrodialysis for water purification and electrostatic correlations in electrolytes

Desalination systems have become an important part of many water supply networks, and they have also been considered as solutions for water shortages and in areas in which access to clean and safe water is still a problem. The quality of available water that is encountered in these situations tends to vary significantly, ranging from seawater to just slightly brackish water to even just water with trace amounts of toxic ions or small amounts of infectious bacteria or viral particles. While current technologies provide a very good solution to desalinating seawater via reverse osmosis, the solutions that are currently used for brackish water or contaminated water are often suboptimal in that they often operate inefficiently in this regime. It is also often difficult to deploy these systems in environments with little infrastructure. In this thesis, shock electrodialysis is proposed and examined for its potential to effectively provide a solution for use with brackish and contaminated water. Shock electrodialysis is in many ways related to electrodialysis, but it is based on the emerging science of desalination shocks in porous media, giving it the distinct advantage of using fewer membranes and separating fresh and brine stream via a non-physical internal barrier (i.e. the shock), which then also allows for removal of particles. Furthermore, in contrast to electrodialysis, it is able to completely deionize water, which is extremely important when dealing with water sources that are contaminated with traces of toxic ions. Experimental results from a proof-of-concept prototype are presented and compared with numerical and analytical modeling results with the aim to better understand the important factors in shock electrodialysis. These results suggest that, while shock electrodialysis can indeed fully deionize water, the energy efficiency is still very poor and needs to be significantly improved before this technology can be effectively employed in the field. In addition to shock electrodialysis, this thesis also explores the use of a 4th-order Poisson equation to include ion-ion correlations in a simple manner when modeling two different electrolyte systems. The first system considered is a surface that was coated with a polyelectrolyte in solution with a simple electrolyte of varying concentration. This system is of interest, because, as the concentration changes, inversion of the apparent difference in potential between this surface and a surface that is not coated with polyelectrolyte is found
STRUCTURAL AND MOLECULAR REGULATORS OF EMBRYONIC TISSUE STIFFNESS

Embryonic development involves large scale tissue movements that construct complex three-dimensional tissue structures, governed by basic physical principles. Fine-grained control of mechanical properties and force production is critical to the successful placement of tissues and organs within the embryo. Cell generated forces and passive mechanical properties not only physically construct tissue structures, but may also provide feedback to instruct cell behavior, remodel extracellular matrix, and regulate intercellular adhesions. Early embryos of the frog Xenopus laevis provide a dramatic example of these physical processes with rapidly changing mechanical properties, increasing in elastic modulus by six-fold to 80 Pascal over eight hours as germ layers and the central nervous system are formed. These physical changes coincide with emergence of complex anatomical structures, several rounds of cell division and remodeling of the cytoskeleton. We analogize the mechanics of embryonic tissues to closed-cell foams to predict the influence of tissue architecture, cell size, and cell cortex on bulk tissue mechanics. The Cellular Solids Model (CSM) relates bulk stiffness of a solid-foam to the unit-size of individual cells, their microstructural organization, and their material properties. We confirmed the central assumption of the CSM, that tissue modulus does not depend on embedded structural elements by engineering and mechanically testing a tissue devoid of large coherent 3D structures. To test the role of cell size we generated large cells by arresting the cell cycle and generated small cells by inhibiting a developmentally regulated cell cycle inhibitor. Tissues with lower and higher cell density confirm predictions of the CSM but are only responsible for a modest 20% increase in stiffness from early to late neurulation. To modulate the composition and modulus of the "cell-wall" we enhanced and diminished cortical F-actin cross-linking. We found that levels of crosslinking regulate bulk tissue modulus. Our results indicate that large scale architecture and cell size are not likely to influence the bulk passive mechanical properties of early embryonic or progenitor tissues. Our findings suggest that regulation of F-actin cortical thickness, density, and integrity plays a central role in regulating the physical mechanics of embryonic multicellular tissues.
Frank Knight and the Origins of Public Choice

Frank Knight a-t-il joue un role dans la formation de la theorie du Public Choice ? Nous soutenons que plusieurs aspects de la pensee de James Buchanan, qui forment bon nombre des idees fondamentales de la theorie du choix public, deviennent plus claires lorsqu’on les compare aux travaux de son professeur, Frank Knight. Buchanan est categorique quant a sa dette envers Knight ; il l’appelle « mon professeur » et se refere frequemment a son travail. Pourtant, le caractere direct de cette reconnaissance a peut-etre servi a court-circuiter l’analyse autant qu’a la stimuler. Notre analyse sera centree sur le livre Knight’s Intelligence and Democratic Action, un recueil de conferences donnees en 1958 (et publie en 1960), alors qu’il etait invite par Buchanan a l’Universite de Virginie. Ces conferences reprennent un certain nombre d’idees tirees d’autres ouvrages, tout en presentant un lien etonnamment clair avec les idees que Buchanan allait presenter au cours des deux decennies a venir. En ce sens, a travers son influence sur Buchanan, Knight peut etre considere comme l’un des ancetres largement meconnus de la theorie des choix publics.
SSH-Brute Force Attack Detection Model based on Deep Learning

The rising number of malicious threats on computer networks and Internet services owing to a large number of attacks makes the network security be at incessant risk. One of the predominant network attacks that poses distressing threats to networks security are the brute force attacks. A brute force attack uses a trial and error algorithm to decode encrypted data such as passwords or Data Encryption Standard keys, through exhaustive effort (using brute force) rather than using intellectual strategies. Brute force attacks resemble legitimate network traffic, making it difficult to defend an organization that rely mainly on perimeter-based security solutions a major challenge. For stopping the occurrence of such attacks, several curable steps must be taken. This paper proposes an efficient mechanism for SSH-Brute force network attacks detection based on a supervised deep learning algorithm, Convolutional Neural Network. The model performance was compared with experimental results from 5 classical machine learning algorithms including Naive Bayes, Logistic Regression, Decision Tree, k-Nearest Neighbour, and Support Vector Machine. Four standard metrics namely, Accuracy, Precision, Recall, and the F-measure were used. Results show that the CNN-based model is superior to the traditional machine learning methods with 94.3% accuracy, a precision rate of 92.5%, recall rate of 97.8% and F1-score of 91.8% in terms of the ability to detect SSH-Brute force attacks.
Meaningful Information in the Age of Big Data: A Scoping Review on Social Determinants of Health Data Collection for Electronic Health Records

Background: Electronic Health Records (EHRs) are key tools for integrating patient data into health information systems (IS). Advances in automated data collection methodology, particularly the collection of social determinants of health (SDOH), provide opportunities to advance health promotion and illness prevention through advanced analytics (i.e. “Big Data” techniques). We ask how current data collection processes in EHRs permit SDOH data to flow throughout health systems. Methods: Using a scoping review framework, we searched through medical literature to identify current practices in SDOH data collection within EHR systems. We extracted relevant information on data collection methodology, specifically focusing on uses of automated technology. We discuss our findings in the context of research methodology and potential for health equity. Results: Practitioners collect a variety of SDOH data at point of care through EHR, predominantly via embedded screening tools and clinical notes, and primarily capturing data on financial security, housing status, and social support. Health systems are increasingly using digital technology in data collection, including natural language processing algorithms. However overall use of automated technology is limited to date. End uses of data pertain to improving system efficiency, patient care-coordination, and addressing health disparities. Discussion & Conclusion: EHRs can realistically promote collection and meaningful use of SDOH data, although EHRs have not extensively been used to collect and manage this type of information. Future applied research on systems-level application of SDOH data is necessary, and should incorporate a range of stakeholders and interdisciplinary teams of researchers and practitioners in fields of health, computing, and social sciences.
La Mesure en thermographie infrarouge, calibration et traitement du signal : application à la validation d'une modélisation numérique, en régime instationnaire, d'un convertisseur thermique de l'énergie solaire sous concentration de type THEK

Abstract Le but de ce travail est l'etablissement d'une procedure de calibration d'un appareillage de thermographie i.r. , associee a un traitement du signal adapte en vue de son utilisation comme instrument de mesure des flux ou des temperatures apparentes. En particulier on examine tout d'abord la validite d'une formulation analytique habituellement employee pour l'etalonnage statique par rapport au ‘corps noir’. Pour ce qui concerne le comportement dynamique, il est caracterise par la fonction de transfert de modulation (FTM) utilisee ensuite lors d'un traitement du signal permettant de corriger, dans une certaine mesure, les erreurs introduites par la fonction de l'appareil; ceci revient en fait, a l'aide d'un algorithme de Van Cittert, a ameliorer de facon significative le pouvoir separateur de l'instrument.