bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical and immunological features of opisthorchiasis
Authors: Sabitov A U , Soldatov D A , Khamanova Yu B 
Published: October 2021

Aim. To assess the clinical and immunological features in patients with chronic opisthorchiasis, depending on the duration of the infection.
Methods. The first group consisted of 19 patients with the duration of the infection up to 1 year, the second group consisted of 21 patients with the duration of the infection between 1 and 5 years, the third group was formed of 23 patients with the duration of the disease more than 5 years, the control group 20 healthy individuals. Immunological research was carried out at the Clinical Diagnostic Center. Statistical processing was performed using Microsoft Excel 2010 and Statistica 6.0 software. The statistical significance of differences was determined by using the MannWhitney test (U-test) at the level of significance of p 0.05. The correlations were assessed by calculating Spearman's rank correlation coefficients.Results Clinical features of chronic opisthorchiasis were revealed in the disease duration groups of up to 1 year, from 1 year to 5 years, more than 5 years: the subclinical course was most common in the group of up to 1 year; cholangiohepatitis prevailed in the group of between 1 to 5 years, allergic skin syndrome, cholangiocholecystitis and pancreatitis dominated in the group of more than 5 years. The immune response in chronic opisthorchiasis was characterized by: up to 1 year lymphocytosis, increased levels of immunoglobulins M (IgM) and circulating immune complexes (CIC), a decrease in the number of T-lymphocytes (CD3+), as well as an increase in bactericidal activity of leukocytes (BAL); between 1 and 5 years monocytosis, increased levels of immunoglobulins M, immunoglobulins G and circulating immune complexes, a decrease in T-cytotoxic lymphocytes (CD8+) and nitro blue tetrazolium (NBT test), as well as an increase in NK cells and phagocytic activity of monocytes, more than 5 years eosinophilia.
Conclusion. Common features of rearrangement of the immune system in opisthorchiasis: inflammatory changes in the hemogram, activation of humoral immunity with parallel suppression of the cellular component of the immune system, and increased phagocytosis.
The Promotion of Physical Activity and Health-Related Factors during Pandemic for Children and Adolescents: A Review Article
Authors: Jee Haemi 
Published: October 2021

Background: Regularly performed physical activity promote proper development and prevent health risk factors in children and adolescents. Pandemic crisis has been limiting the scope of movement with social distancing for participation of physical activity for health promotion. This study aimed to review studies on promoting physical activity to prevent health risks for children and adolescents since the onset of COVID-19.
Methods: Three major online databases (PubMed, Medline, and Scopus) were searched for ‘physical activity,’ ‘intervention’ for children and adolescents. Seven articles were selected from 1,761 articles through the inclusion and exclusion processes.
Results: All studies were conducted through online. One study showed that streaming services and online apps majorly promoted MVPA (moderate-to-vigorous physical activity), MSE (muscle-strengthening exercise), or combined (MVPA, MSE) by 2.4, 3.1, and 4.3 folds, respectively. Another study showed that greater duration of physical activity (PA) prevented depressive symptoms during exposure to outbreak. Five intervention studies which used digital platforms to promote PA significantly encouraged PA along with the physiological, psychosocial, and academic achievement outcomes.
Conclusion: Internet-based digital platforms may assist to promote physical activity for improved psychosocial and academic achievement in children and adolescents during the untack period. Structured PA promotion platforms with various health outcomes for children and adolescents should be developed and scientifically evaluated.
Medzikultúrny dialóg v súčasnej slovenskej dráme a divadle
Authors: Pukan Miron 
Published: October 2021

The study deals with the possible inspirations from the external environment being the part of works by Karol Horák which undergo a creative transformation and produce a new aesthetic quality on the level of text, as well as the on the level of new staging forms or genesis of a completely new autochthonic theatre form (authorʼs theatre, postmodern theatre, medial theatre, happenings, performances, site-specific, etc.) There was a continuous pulsation among Slovak national theatre culture, or rather metonymically understood Prešov´s regional student theatre, and American (Living Theatre of J. Becka and J. Malinova, Schumannʼs Bread and Puppet, etc.), Polish (Kantorʼs Cricot 2, Grotowskiʼs Theatre Laboratory, Raczakʼs Theatre of Eighth Day, Mądzikʼs Plastic scene, Słupczynskiʼs Theatre Studio of Těšín, the Theatre Academy of Movement, Cracowian KTO, etc.) and Czech provenance (Theatre Orpheus Prague, Theatre X Brno, Theatre under Drain Pipe Ostrava, Quite Small Theatre Litvinov, Theatre on the Periphery, Prague, Quidam Brno, etc.) They have the form of a rational as well as a spontaneous reaction to the external stimulus which often acquired a form with surprisingly authentic aesthetic value. This value usually represented the latent affinity with the original stimulus and it often created an authentic theatre artefact with respect to the recipient having the peculiar status within the national context (e.g. Džura [1968], Démon [1967], Fragmenty [1974], Živý nábytok [1975], Tip-top biotop [1976], Materstvo [2011], Človek etudový alebo Konšpirácia alebo Od skúšky k predstaveniu [2013] etc.) This was the way how one wing of Slovak theatre tried to balance falling short of the European or world context.
„Guilty pleasure” Doroty Masłowskiej i Krzysztofa Vargi — o grach komunikacyjnych (z) popkulturą
Authors: Szalewska Katarzyna 
Published: October 2021

The article is an analysis of two collections of feuilleton — Jak przejąć kontrolę nad światem, nie wychodząc z domu by Dorota Masłowska and Polska mistrzem Polski by Krzysztof Varga. The key to the analyses presented in the article is the phenomenon of guilty pleasure and shameful pleasure, which is the element that most closely connects the cited authors — choosing the subject of the feuilleton with full awareness of the implications of this cultural choice — and their readers drawn into the game between ‘guilt’ and ‘innocence’, ‘snobbery’ and ‘honesty’. This game is based on oscillating between maintaining a distance (and thus a sense of superiority) towards the subject of description and the subject of reading, and the pleasure of participation. Text strategies related to the guilty pleasure category, involving games with the reader, irony and intertextuality, also remain common to both creators.
El orden público procesal y el derecho de defensa en el exequátur del laudo arbitral
Authors: Noriega Linares Carmen María 
Published: October 2021

La situación de ausencia del demandado en un procedimiento puede deberse por múltiples causas y también producir varias consecuencias. En el auto del TSJ de Madrid la ausencia se produce en el procedimiento de exequátur, por lo que las consecuencias que de ello se derivan serán diferentes de las que se habrían producido de haber estado ausente durante el procedimiento ante el tribunal extranjero.
La excepción del orden público internacional en su vertiente procesal en conjunción con el derecho de defensa juega un papel esencial para otorgar o denegar el exequátur, pues el poder defenderse en juicio es un principio fundamental que está protegido, tanto a nivel nacional como internacional. Sin embargo, no toda limitación de este derecho es una violación automática del orden público internacional.
Juliana Rodríguez Rodrigo, Relaciones económicas de los matrimonios y las uniones registradas en España, antes y después de los Reglamentos (UE) 2016/1103 y 2016/1104
Authors: Cebrián Salvat María Asunción 
Published: October 2021

Este libro reseña: Juliana Rodríguez Rodrigo, Relaciones económicas de los matrimonios y las uniones registradas en España, antes y después de los Reglamentos (UE) 2016/1103 y 2016/1104,
[...], 2020.
Nuevos registros del género Gamochaeta (Asteraceae: Gnaphalieae) en Ecuador
Authors: Freire Susana Edith , Monti Claudia , Bayón Néstor D. , Giuliano Daniel A. 
Published: October 2021

Gamochaeta cabrerae, G. simplicicaulis y G. subfalcata se citan por primera vez en Ecuador y se confirma la presencia de G. humilis. Estos nuevos registros se suman a las cuatro especies del género conocidas hasta el momento para el país, i.e., G. americana, G. pensylvanica, G. purpurea y G. sphacelata. Para cada uno de los nuevos registros se aporta una descripción, ilustración y mapa de distribución. Además, se incluye una clave del género en Ecuador.
Digital Spectral Analysis by means of the Method of Averag Modified Periodograms Using Binary-Sign Stochastic Quantization of Signals
Authors: Yakimov V. N. 
Published: October 2021

The method of averaging modified periodograms is one of the main methods for estimating the power spectral density (PSD). The aim of this work was the development of mathematical and algorithmic support, which can increase the computational efficiency of signals digital spectral analysis by this method.The solution to this problem is based on the use of binary-sign stochastic quantization for converting the analyzed signal into a digital code. A special feature of this quantization is the use of a randomizing uniformly distributed auxiliary signal as a stochastic continuous quantization threshold (threshold function). Taking into account the theory of discrete-event modeling the result of binary-sign quantization is interpreted as a chronological sequence of instantaneous events in which its values change. In accordance with this we have a set of time samples that uniquely determine the result of binary-sign quantization in discrete-time form. Discrete-event modeling made it possible to discretize the process of calculating PSD estimates. As a result, the calculation of PSD estimates was reduced to discrete processing of the cosine and sine Fourier transforms for window functions. These Fourier transforms are calculated analytically based on the applied window functions. The obtained mathematical equations for calculating the PSD estimates practically do not require multiplication operations. The main operations of these equations are addition and subtraction. As a consequence, the time spent on digital spectral analysis of signals is reduced.Numerical experiments have shown that the developed mathematical and algorithmic support allows us to calculate the PSD estimates by the method of averaging modified periodograms with a high frequency resolution and accuracy even for a sufficiently low signal-to-noise ratio. This result is especially important for spectral analysis of broadband signals.The developed software module is a problem-oriented component that can be used as part of metrologically significant software for the operational analysis of complex signals.
A Fast Screening Tool for Assessing the Impact of Poro-Mechanics on Fractured Reservoirs Using Dual-Porosity Flow Diagnostics
Authors: Gutierrez-Sosa Lesly , Geiger Sebastian , Doster Florian 
Published: October 2021

Abstract
Accounting for poro-mechanical effects in full-field reservoir simulation studies and uncertainty quantification workflows is still limited, mainly because of their high computational cost. We introduce a new approach that couples hydrodynamics and poro-mechanics with dual-porosity flow diagnostics to analyse how poro-mechanics could impact reservoir dynamics in naturally fractured reservoirs without significantly increasing computational overhead.
Our new poro-mechanical informed dual-porosity flow diagnostics account for steady-state and singlephase flow conditions in the fractured medium while the fracture-matrix fluid exchange is approximated using a physics-based transfer rate constant which models two-phase flow using an analytical solution for spontaneous imbibition or gravity drainage. The deformation of the system is described by the dualporosity poro-elastic theory, which is based on mixture theory and micromechanics to compute the effective stresses and strains of the rock matrix and fractures. The solutions to the fluid flow and rock deformation equations are coupled sequentially. The governing equations for fluid flow are discretised using a finite volume method with two-point flux-approximation while the governing equations for poro- mechanics are discretised using the virtual element method. The solution of the coupled system considers stress-dependent permeabilities for fractures and matrix. Our framework is implemented in the open source MATLAB Reservoir Simulation Toolbox (MRST).
We present a case study using a fractured carbonate reservoir analogue to illustrate the integration of poro-mechanics within the dual-porosity flow diagnostics framework. The extended flow diagnostics calculations enable us to quickly screen how the dynamics in fractured reservoirs (e.g. reservoir connectivity, sweep efficiency, fracture-matrix transfer rates) are affected by the complex interactions between poro-mechanics and fluid flow where changes in pore pressure and effective stress modify petrophysical properties and hence impact reservoir dynamics.
Due to the steady-state nature of the calculations and the effective coupling strategy, these calculations do not incur significant computational overheads. They hence provide an efficient complement to traditional reservoir simulation and uncertainty quantification workflows as they enable us to assess a broader range of reservoir uncertainties (e.g. geological, petrophysical and hydro-mechanical uncertainties). The capability of studying a much broader range of uncertainties allows the comparison and ranking from a large ensemble of reservoir models and select individual candidates for more detailed full-physics reservoir simulation studies without compromising on assessing the range of uncertainties inherent to fractured reservoirs.
Streamline Tracing and Applications in Dual Porosity Dual Permeability Models
Authors: Onishi Tsubasa , Chen Hongquan , Xie Jiang , Tanaka Shusei , Kam Dongjae , Wang Zhiming , Wen Xian-Huan , Datta-Gupta Akhil 
Published: October 2021

Abstract
Streamline-based methods have proven to be effective for various subsurface flow and transport modeling problems. However, the applications are limited in dual-porosity and dual-permeability (DPDK) system due to the difficulty in describing interactions between matrix and fracture during streamline tracing. In this work, we present a robust streamline tracing algorithm for DPDK models and apply the new algorithm to rate allocation optimization in a waterflood reservoir.
In the proposed method, streamlines are traced in both fracture and matrix domains. The inter-fluxes between fracture and matrix are described by switching streamlines from one domain to another using a probability computed based on the inter-fluxes. The approach is fundamentally similar to the existing streamline tracing technique and can be utilized in streamline-assisted applications, such as flow diagnostics, history matching, and production optimization.
The proposed method is benchmarked with a finite-volume based approach where grid-based time-of-flight was obtained by solving the stationary transport equation. We first validated our method using simple examples. Visual time-of-flight comparisons as well as tracer concentration and allocation factors at wells show good agreement. Next, we applied the proposed method to field scale models to demonstrate the robustness. The results show that our method offers reduced numerical artifacts and better represents reservoir heterogeneity and well connectivity with sub-grid resolutions. The proposed method is then used for rate allocation optimization in DPDK models. A streamline-based gradient free algorithm is used to optimize net present value by adjusting both injection and production well rates under operational constraints. The results show that the optimized schedule offers significant improvement in recovery factor, net present value, and sweep efficiency compared to the base scenario using equal rate injection and production. The optimization algorithm is computationally efficient as it requires only a few forward reservoir simulations.
Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped with State and Well Output Prediction
Authors: J. R. Coutinho Emilio , J. Dall'Aqua Marcelo , Gildin Eduardo 
Published: October 2021

Abstract
Physics-aware machine learning (ML) techniques have been used to endow data-driven proxy models with features closely related to the ones encountered in nature. Examples span from material balance and conservation laws. Physics-based and data-driven reduced-order models or a combination thereof (hybrid-based models) can lead to fast, reliable, and interpretable simulations used in many reservoir management workflows. We built on a recently developed deep-learning-based reduced-order modeling framework by adding a new step related to information of the input-output behavior (e.g., well rates) of the reservoir and not only the states (e.g., pressure and saturation) matching. A Combination of data-driven model reduction strategies and machine learning (deep- neural networks – NN) will be used here to achieve state and input-output matching simultaneously. In Jin, Liu and Durlofsky (2020), the authors use a NN architecture where it is possible to predict the state variables evolution after training an autoencoder coupled with a control system approach (Embed to Control - E2C) and adding some physical components (Loss functions) to the neural network training procedure. In this paper, we extend this idea by adding the simulation model output, e.g., well bottom-hole pressure and well flowrates, as data to be used in the training procedure. Additionally, we added a new neural network to the E2C transition model to handle the connections between state variables and model outputs. By doing this, it is possible to estimate the evolution in time of both the state variables as well as the output variables simultaneously. The method proposed provides a fast and reliable proxy for the simulation output, which can be applied to a well-control optimization problem. Such a non-intrusive method, like data-driven models, does not need to have access to reservoir simulation internal structure. So it can be easily applied to commercial reservoir simulations. We view this as an analogous step to system identification whereby mappings related to state dynamics, inputs (controls), and measurements (output) are obtained. The proposed method is applied to an oil-water model with heterogeneous permeability, 4 injectors, and 5 producer wells. We used 300 sampled well control sets to train the autoencoder and another set to validate the obtained autoencoder parameters.
The Mixed Virtual Element Method for Grids with Curved Interfaces in Single-Phase Flow Problems
Authors: Dassi Franco , Fumagalli Alessio , Losapio Davide , Scialò Stefano , Scotti Anna , Vacca Giuseppe 
Published: October 2021

Abstract
In many applications the accurate representation of the computational domain is a key factor to obtain reliable and effective numerical solutions. Curved interfaces, which might be internal, related to physical data, or portions of the physical boundary, are often met in real applications. However, they are often approximated leading to a geometrical error that might become dominant and deteriorate the quality of the results. Underground problems often involve the motion of fluids where the fundamental governing equation is the Darcy law. High quality velocity fields are of paramount importance for the successful subsequent coupling with other physical phenomena such as transport. The virtual element method, as solution scheme, is known to be applicable in problems whose discretizations requires cells of general shape, and the mixed formulation is here preferred to obtain accurate velocity fields. To overcome the issues associated to the complex geometries and, at the same time, retaining the quality of the solutions, we present here the virtual element method to solve the Darcy problem, in mixed form, in presence of curved interfaces in two and three dimensions. The numerical scheme is presented in detail explaining the discrete setting with a focus on the treatment of curved interfaces. Examples, inspired from industrial applications, are presented showing the validity of the proposed approach.
Strategies to Enhance the Performance of Gaussian Mixture Model Fitting for Uncertainty Quantification by Conditioning to Production Data
Authors: Gao Guohua , Vink Jeroen , Saaf Fredrik , Wells Terence 
Published: October 2021

Abstract
When formulating history matching within the Bayesian framework, we may quantify the uncertainty of model parameters and production forecasts using conditional realizations sampled from the posterior probability density function (PDF). It is quite challenging to sample such a posterior PDF. Some methods e.g., Markov chain Monte Carlo (MCMC), are very expensive (e.g., MCMC) while others are cheaper but may generate biased samples. In this paper, we propose an unconstrained Gaussian Mixture Model (GMM) fitting method to approximate the posterior PDF and investigate new strategies to further enhance its performance.
To reduce the CPU time of handling bound constraints, we reformulate the GMM fitting formulation such that an unconstrained optimization algorithm can be applied to find the optimal solution of unknown GMM parameters. To obtain a sufficiently accurate GMM approximation with the lowest number of Gaussian components, we generate random initial guesses, remove components with very small or very large mixture weights after each GMM fitting iteration and prevent their reappearance using a dedicated filter. To prevent overfitting, we only add a new Gaussian component if the quality of the GMM approximation on a (large) set of blind-test data sufficiently improves.
The unconstrained GMM fitting method with the new strategies proposed in this paper is validated using nonlinear toy problems and then applied to a synthetic history matching example. It can construct a GMM approximation of the posterior PDF that is comparable to the MCMC method, and it is significantly more efficient than the constrained GMM fitting formulation, e.g., reducing the CPU time by a factor of 800 to 7300 for problems we tested, which makes it quite attractive for large scale history matching problems.
A GPU-Accelerated Linear Solver for Massively Parallel Underground Simulations
Authors: Isotton Giovanni , Janna Carlo , Spiezia Nicoló , Tosatto Omar , Bernaschi Massimo , Cominelli Alberto , Mantica Stefano , Monaco Silvia , Scrofani Giovanni 
Published: October 2021

Abstract
Modern engineering applications require the solution of linear systems of millions or even billions of equations. The solution of the linear system takes most of the simulation for large scale simulations, and represent the bottleneck in developing scientific and technical software. Usually, preconditioned iterative solvers are preferred because of their low memory requirements and they can have a high level of parallelism. Approximate inverses have been proven to be robust and effective preconditioners in several contexts. In this communication, we present an adaptive Factorized Sparse Approximate Inverse (FSAI) preconditioner with a very high level of parallelism in both set-up and application. Its inherent parallelism makes FSAI an ideal candidate for a GPU-accelerated implementation, even if taking advantage of this hardware is not a trivial task, especially in the set-up stage. An extensive numerical experimentation has been performed on industrial underground applications. It is shown that the proposed approach outperforms more traditional preconditioners in challenging underground simulation, greatly reducing time-to-solution.