bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Antarctic Seismographic Argentinean Italian Network (ASAIN): Recording Earthquakes in the Scotia Sea Region
Authors: Plasencia Linares Milton Percy , Cravos Claudio , Laterza Roberto , Bernardi Paolo , Comelli Paolo , Grossi Maurizio , Magrin Andrea , Pesaresi Damiano , Sandron Denis , Santulin Marco , Sugan Monica , Vuan Alessandro , Parolai Stefano 
Published: April 2021

Abstract
The Antarctic Seismographic Argentinean Italian Network (ASAIN) is a permanent broadband seismic network that has operated since 1995 in the Scotia Sea region, the Antarctic peninsula, and the polar area. It was deployed and is managed in the framework of cooperation between the National Institute of Oceanography and Applied Geophysics and Dirección Nacional del Antártico–Instituto Antártico Argentino and is financially supported by the Programma Nazionale di Ricerca in Antartide. The network consists of seven seismological stations with broadband sensors. ASAIN provides data to Incorporated Research Institutions for Seismology, Observatories and Research Facilities for European Seismology, and GEOFOrschungsNetz. It improves the worldwide seismic networks’ detection capabilities and contributes to refining regional earthquake locations released by the U.S. Geological Survey. The proximity of the seismic stations to the Antarctic continent and their continuous operation in the long term also allows for having a privileged observatory on the ice-related seismicity along the Antarctica peninsula.
In this article, we discuss the historical development of ASAIN, its current configuration, and the main characteristics of the seismic stations. Finally, we also provide information on the ASAIN data exchange and the contribution to the scientific research in Antarctica.
miREIA - an immunoassay method in assessment of microRNA levels in tumor tissue-pilot study. The impact of miR-93-5p, miR-142-5p and IFNγ on PD-L1 level in colorectal cancer
Authors: Dawidowicz Miriam , Kula Agnieszka , Mielcarska Sylwia , Kiczmer Paweł , Gołąbek Karolina , Ostrowska Zofia , Waniczek Dariusz , Świętochowska Elżbieta 
Published: April 2021

Colorectal cancer is the second and third most common cancer in females and males, respectively. The PD-L1/PD-1 immune checkpoint is an important source of immunosuppression in the tumor microenvironment and is associated with IFNγ. Recent studies have revealed that a significant number of tumor suppressive miRNAs can regulate the expression of PD-L1.
The objective quantification of selected microRNAs using the miREIA method in CRC tissue was performed. We investigated the roles of miR-93-5p and miR-142-5p expression and the levels of IFNγ in regulating the expression of PD-L1 in tumor and margin tissues of CRC in relation to the histological grade, TNM classification, and tumor localization.
37 samples of tumor and margin tissues from CRC patients were evaluated. MiR-93-5p and miR-142-5p levels were measured by a method for quantitative measurement of human microRNA (miREIA). The concentrations of PD-L1 and IFNγ were determined by the ELISA kit.
We found higher concentrations of miR-93-5p, PD-L1 and IFNγ in tumor samples compared to tumor margin samples. A significant correlation was found between PD-L1 and IFNγ in tumor and margin specimens; between miR-142-5p and miR-93-5p levels in tumor and margin specimens. A higher level of miR-93-5p was found in tumor margin tissues on the left side of the colon. Patients with distant metastases were characterized by higher miR-93-5p concentration compared to patients without metastases.
CRC is an important source of PD-L1, IFNγ and miR-93-5p expression. Understanding the mechanisms underlying intratumoral PD-L1 expression may open new opportunities for targeted immunotherapy for colorectal cancer.
INFLUENCE OF INVESTMENT DECISIONS AND CONSUMPTION ON ASSET PRICING: CCAPM APPROACH
Authors: Ullah Mahboob , Shaikh Samiuddin , Channar Paras , Abbas Muhammad , Shaikh Maria 
Published: April 2021

Purpose of the study: This study examines the influence of investment decisions and consumption on asset pricing from 1980 to 2016.
Methodology: This study has used a quantitative research design and a secondary source is deployed to collect data from 1980 to 2016. The data was gathered from Saint Louis Fed, whereas Standard and Poor’s 500 (S&P 500 index at a closing price of the first day of the month) was from Yahoo Finance. The software used for the data analysis was R Studio and statistical methods such as descriptive statistics, Generalized Method of Moments (GMM) model Fitting and Consumption Capital Asset Pricing Model (CCAPM) Fitting was performed to examine the influence of investment decisions and consumption on asset pricing.
Main Findings: The finding of the study shows that Personal Consumption Expenditures: Nondurable Goods (PCE): Nondurable goods, (PCEN) and 1-Year Treasury Constant Maturity Rate (GS1) jointly accounted for about 7.9% of the variance observable in excess return SP500. Furthermore, independently, GS1 (annualized 1-Year Treasury Constant Maturity Rate) was significant while PCE (Personal Consumption Expenditures: Nondurable Goods) and PCEN: Nondurable goods were insignificant.
The implication of the Study: The current study is useful for investors and especially fund managers across the globe to determine what return they expect on their investment for putting their capital at risk on it.
Novelty/Originality of this study: Studies have been conducted to analyze the impact of investment decision based on the CAPM model, whereas this study introduces the influence of investment decisions and consumption on asset pricing by deploying the CCAPM approach which is an extension of the capital asset pricing model that uses a consumption beta instead of a market beta to explain expected return premiums over the risk-free rate.
A argumentação como prática discursiva: por uma abordagem lato sensu no ensino básico
Authors: Corbari Alcione Tereza 
Published: April 2021

Este artigo visa a refletir sobre a abordagem da argumentação no ensino básico, focando livros didáticos voltados ensinos Fundamental e Médio. Sem desconsiderar a importância da argumentação stricto sensu como conteúdo de ensino da disciplina de Língua Portuguesa, este texto argumenta sobre a necessidade de garantir a noção lato sensu de argumentação como tópico curricular básico dessa disciplina. Essa proposta fundamenta-se na teoria ducrotiana da argumentatividade inscrita na língua e considera que a interação pela linguagem constitui um ato social que é, em essência, argumentativo, o que significa compreender a argumentação como prática social e discursiva intrínseca ao uso da língua, portanto, não restrita a contextos específicos de interação.Palavras-chave: Argumentação. Língua Portuguesa. Ensino Básico.Argumentation as discursive practice: for a lato sensu approach in basic education ABSTRACT This article aims to present some reflections on teaching argumentation in basic education, considering the treatment of this theme in Elementary and Secondary textbooks. Despite the importance of argumentation in stricto sensu as content in Portuguese Language teaching, this text argues that the argumentation in lato sensu must figure as a basic curricular topic of this discipline. This proposal is based on the Theory of Argumentation within Language and considering that the interaction by language constitutes a social act that is essentially argumentative, which means to comprehend argumentation as social and discursive practice intrinsic to the language uses, not restricted to specific interaction contexts.Keywords: Argumentation. Portuguese Language subject. Basic Education.Argumentación como práctica discursiva: para un enfoque lato sensu en educación básicaRESUMENEl propósito de este artículo es presentar algunas reflexiones sobre la enseñanza de la argumentación en la educación básica, centrando-se en libros de texto de la escuela primaria y secundaria. A pesar de la importancia de la argumentación en stricto sensu como contenido en la enseñanza de la lengua portuguesa, este texto argumenta que la argumentación en lato sensu debe figurar como un tema curricular básico de esta disciplina. Esta propuesta se basa en la teoría de la argumentación dentro del lenguaje y considera que la interacción por el lenguaje constituye un acto social esencialmente argumentativo, lo que significa comprender la argumentación como práctica social y discursiva intrínseca a los usos del lenguaje, no restringida a contextos de interacción específicos.Palabras clave: Argumentación. Lengua portuguesa. Educación Básica.
Successful Arthroscopic Fixation of a Posterior Wall Acetabular Fracture Nonunion on a Patient With Femoroacetabular Impingement
Authors: Davila-Parrilla Ariel D. , Iguina-González Elena 
Published: April 2021

Case:
This report presents the results of a hip arthroscopic technique that was used to treat an unusual posterior wall acetabular fracture nonunion. A 30-year-old man presented with 1 year of persistent left-sided buttock and groin pain with associated feeling of instability when climbing stairs. Magnetic resonance imaging demonstrated a small left acetabular posterior wall fracture nonunion. We describe outpatient treatment with reduction and cannulated screw fixation using arthroscopic techniques that permitted immediate partial weight bearing and achieved excellent outcomes at 1 year.

Conclusion:
Arthroscopic fixation of an acetabular posterior wall fracture nonunion may be a feasible treatment option in select cases.
Privacy-Focused Blockchain Solution for Production Royalty Management
Authors: Lakhanpal Vikrant , Samuel Robello 
Published: April 2021

Abstract
Oil and gas operators have a multitude of tasks to perform for smooth business operations. In addition to various engineering, technical, and operational decisions, there are back-office operations that should be efficient to keep business running smoothly, including production royalty management (PRM). The current system for PRM is extremely complex and costly, and involvesmultiple parties/contracts and often causes disputes.
A blockchain-based solution allows the organizations to better navigate complex laws, courtrulings, and legal jargon that determine how billions of dollars are distributed every year. There are two aspects to PRM —royalties owed and royalties received—and the proposed solution caters to both operators and independent mineral owners. The operator should compile production and revenue data monthly and distribute it to all owners as per their individual lease. The expenses and marketing costs should be entered into the accounting system before revenue is distributed. Owners may be skeptical about data shared; therefore, the entire process can take up to two or more months. Furthermore, privacy is of utmost importance because theoperator can neither share data between owners nor disclose proprietary information.
This paper proposes the entire royalty management system be hosted on a permissioned blockchain. Given their intrinsic nature of trustworthiness and transparent execution of transactions involving multiple parties, blockchain can streamline the royalty distribution process. The design and implementation of a smart contract for consent-driven and double-blind data sharingon a blockchain platform is presented. The system is designed for both inter- and intra-organizational transaction—a local peer interacts with an associated anchor peer within the globalnetwork. In addition to transparency and efficiency, this method provides important features ofprivacy and auditability while limiting ledger size. Further, peer identities are hiddenfrom each other while they collectively agree on transaction outcomes, and data will never be shared among the peers of the blockchain without explicit consent from the owners to ensure that the conflicting objectives of privacy and transparency are met.
Blockchain is peer-to-peer decentralized digital ledger technology with promising potential. Even after all the recent innovations, the owner-relations department still operates using old methods. An innovative blockchain-based solution to reduce time and money spent on disbursing revenue for the operator and to increase the time value of information and trust in the system for the owner is presented.
Advanced Machine Learning Methods for Prediction of Fracture Closure Pressure
Authors: Ibrahim Mohamed Mohamed , Mehta Dinesh , Ozkan Erdal 
Published: April 2021

Abstract
Determining the closure pressure is crucial for optimal hydraulic fracturing design and successful execution of fracturing treatment. Historically, the use of diagnostic tests before the main fracturing treatment has significantly advanced to gain more information about the pattern of fracture propagation and fluid performance to optimize the designs. The goal is to inject a small volume of fracturing fluid to breakdown the formation and create small fracture geometry, then once pumping is stopped the pressure decline is analyzed to observe the fracture closure.
Many analytical methods such as G-Function, square root of time, etc. have been developed to determine the fracture closure pressure. There are cases in which there is difficulty in determining the fracture closure pressure, as well as personal bias and field experiences make it challenging to interpret the changes in the pressure derivative slope and identify fracture closure. These conditions include: High permeability reservoirs where fracture closure occurs very fast due to the quick fluid leakoff.Extremely low permeability reservoir, which requires a long shut-in time for the fluid to leak off and determine the fracture closure pressure.The non-ideal fluid leak-off behavior under complex conditions.
The objective of this study is to apply machine learning methods to implement a predesigned algorithm to execute the required tasks and predict the fracture closure pressure while minimizing the shortcomings in determining the closure pressure for non-ideal or subjective conditions.
This paper demonstrates training different supervised machine learning algorithms to help predict fracture closure pressure. The workflow involves using the datasets to train and optimize the models, which subsequently are used to predict the closure pressure of testing data. The output results are then compared with actual results from more than 120 DFIT data points. We further propose an integrated approach to feature selection and dataset processing and study the effects of data processing on the success of the model prediction.
The results from this study limit the subjectivity and the need for the experience of personal interpreting the data. We speculate that a linear regression and MLP neural network algorithms can yield high scores in the prediction of fracture closure pressure.
Chemical EOR in Low Permeability Sandstone Reservoirs: Impact of Clay Content on the Transport of Polymer and Surfactant
Authors: Guetni Imane , Marlière Claire , Rousseau David 
Published: April 2021

Abstract
Application of chemical enhanced oil recovery (C-EOR) processes to low-permeability sandstone reservoirs (in the 10-100 mD range) can be very challenging as strong retention and difficult in-depth propagation of polymer and surfactant can occur. Transport properties of C-EOR chemicals are particularly related to porous media mineralogy (clay content). The present experimental study aimed at identifying base mechanisms and providing general recommendations to design economically viable C-EOR injection strategies in low permeability clayey reservoirs.
Polymer and surfactant injection corefloods were conducted using granular packs (quartz and clay mixtures) with similar petrophysical characteristics (permeability 70-130 mD) but having various mineralogical compositions (pure quartz sand, sand with 8 wt-% kaolinite and sand with 8 wt-% smectite). The granular packs were carefully characterized in terms of structure (SEM) and specific surface area (BET). The main observables from the coreflood tests were the resistance and residual resistance factors generated during the chemical injections, the irreversible polymer retention and the surfactant retention in various injection scenarios (polymer alone, surfactant alone, polymer and surfactant).
A first, the impact of the clay contents on the retention of polymer and surfactant considered independently was examined. Coreflood results have shown that retention per unit mass of rock strongly increased in presence of both kaolinite and smectite, but not in the same way for both chemicals. For polymer, retention was about twice higher with kaolinite than with smectite, despite the fact that the measured specific surface area of the kaolinite was about 5 times less than that of the smectite. Conversely, for surfactant, retention was much higher with smectite than with kaolinite.
Secondly, the impact of the presence of surfactant on the polymer in-depth propagation and retention was investigated in pure quartz and kaolinite-bearing porous media. In both mineralogies, the resistance factor quickly stabilized when polymer was injected alone whereas injection of larger solution volumes was required to reach stabilization when surfactant was present. In pure quartz, polymer retention was shown, surprisingly, to be one order of magnitude higher in presence of surfactant whereas with kaolinite, surfactant did not impact polymer retention.
The results can be interpreted by considering adsorption-governed retention. The mechanistic pictures being that (a) large polymer macromolecules are not able to penetrate the porosity of smectite aggregates, whereas surfactant molecules can, and (b) that surfactant and polymer mixed adsorbed layers can be formed on surfaces with limited affinity for polymer. Overall, this study shows that C-EOR can be applied in low permeability reservoirs but that successful injection strategies will strongly depend on mineralogy.
Numerical Evaluation of the Impact of Steam Quality on Steam Flood Performance in a Kuwait Heavy Oil Reservoir
Authors: Al-Ali Yacob , Al-Rubah Abdullah , Verlaan Marco 
Published: April 2021

Abstract
The objective of this study is to assess any opportunities to improve field recovery or thermal efficiency by evaluating different steam quality scenarios and their impact on the performance of the cyclic steam stimulation and steam flood in Lower Fars reservoir.
In this study, simulation history matching of the dynamic test data from the ongoing thermal pilots was used to validate the static and dynamic description. The process results in an improved dynamic model to be used specifically for the steam quality scenarios evaluation, which was then used in the prediction mode for deciding on an optimum steam quality percentage for the upcoming steam flood operation.
Different bottom-hole steam quality scenarios are defined using different steam quality output values at the steam generator and a fixed amount of surface network heat loss. The wellbore heat losses are explicitly modelled to arrive at bottom hole steam quality corresponding to a boiler steam quality.
The impact of the steam quality on the cumulative amount of oil produced is significant when an economic steam oil ratio cutoff is applied. There was an overall 40% difference in cumulative oil production between low and high steam quality cases, and a 30% difference when an energy cut off criterion was applied instead of the steam oil ratio cutoff. The highest steam quality resulted in the best performance in terms of oil recovery and energy efficiency. Analysis of the results show that the effect of steam quality is different during different periods of the CSS/SF process and mainly related to the different amount of enthalpy injected. During the CSS period a lower steam quality results in lower oil recovery but at a better efficiency compared to a high steam quality. In the steam flood phase the high steam quality results in both higher recovery and higher energy efficiency. The latter is caused by lower over and underburden heat loss.
The bottom hole steam quality is a measure of the energy content of the steam that is delivered to the reservoir. This has a significant impact on the efficiency of the thermal recovery process. The steam quality can vary as function of well location and time for numerous reasons. Thus, it is essential to understand how these variables affect the recovery process.
Errors Associated With the Application of the G-Function Plot for Analyzing Pressure Fall-Off Tests in Water Injection Wells
Authors: Wu Jun , Ershaghi Iraj 
Published: April 2021

Abstract
Castillo1 suggested the use of the G-Function plot based on the work of Nolte2. It has been a standard practice in the fracturing community to estimate the fracture closing pressure from a tangent to the G*dp/dg plot. In this analysis technique, the assumption is that a fracture has already developed under the high-pressure fracturing fluid. Then when the pumping is relaxed, one can estimate the fracture closing pressure. In many California waterfloods, the issue of maximum allowable injection gradient has been debated. Various solutions have been proposed to calculate a safe injection gradient. One method that has been promoted is the application of the G-function plot. In this paper, we maintain that this application can be misleading using the prescribed cartesian G function plots.
We present the results of an extensive research study for analyzing pressure fall-off data using the G-Plot function. We studied a reappraisal of the G function plot using waterflood conditions where no prior fractures had formed, and no fracture closing pressure was meaningful or applicable. We show from analysis of generated data, using both numerical reservoir modeling and analytical derivations for a radial flow system, that fall-off tests analyzed using the cartesian G function can generate false indications of fracture closing where in fact, the entire injection has been based on radial flow homogeneous injection systems. We also studied systems with a pre-existing fracture before injection. We show that if such a reservoir system is subjected to injection and fall-off tests, again, one may compute a false indication of the irrelevant fracture closure pressure. We discuss how the cartesian scale used for the G function plot can be misleading for the analysis of fall-off test data.