bluuebunny/crossref_metadata_2025_split huggingface dataset:
A educação popular entre a modernidade e a pós-modernidade
Authors: Mogilka Mauricio 
Published: April 2020

Este artigo tem intenção de discutir uma possível metodologia baseada no projeto ético-político libertador. Nesta perspectiva, este texto pretende contribuir para a reflexão e a estruturação metodológica de práticas em educação popular. Ele analisa as principais características do trabalho social com a população que tenha o projeto de libertação como referência. A opção metodológica utilizada na produção do artigo foi uma proposta reflexivo-existencial, ou seja, uma reflexão rigorosa sobre a experiência do autor com a intervenção social. O artigo conclui afirmando que: propostas de práxis mais radicais precisam superar a desnecessária oposição modernidade x pós-modernidade, agregando elementos emancipatórios de ambos os movimentos; os mediadores críticos precisam desverticalizar as relações com os grupos populares; precisamos desenvolver o otimismo crítico e superar o pessimismo que frequentemente acompanha a atividade da crítica.Palavras-chave: Educação popular. Metodologias da libertação. Paradigmas de trabalho social.Popular education between modernity and post-modernityABSTRACTThis article aims to make a discussion about of the possible methodology supported in the liberator ethical-political project. This article aims to contribute to the reflections and the construction of practices in popular education. The text analyses the main factors of the social work that has the liberation project like its reference. It also demonstrates how the more radicals propositions of popular education and of practices need to overcome the opposite modernity x postmodernity, joing liberations factors of both movements.Keywords: Popular education. Liberation methodologies. Paradigms of Social work.Educación popular entre la modernidad y la pos-modernidadRESUMENEste artículo tiene el objectivo de discutir una posible metodología basada em el projecto ético-político libertador. En perspectiva, el texto pretende contribuir para la reflexion y la a estruturación metodológica de prácticas em educaçión popular. Ele analisa las principales características del trabajo social com la población que tenga el projecto de liberación como referencia. Além disto intenta demonstrar como propuestas de educación popular e de práxis más radicales necesitan superar la desnecessária oposición modernidad x pós-modernidad, agregando elementos liberadores de dos movimientos.Palabras clave: Educación popular. Metodologias de la liberación. Paradigmas de trabajo social.
Lucas Polynomial Approach for Second Order Nonlinear Differential Equations
Authors: Gümgüm Sevin , Baykuş-savaşaneril Nurcan , Kürkçü Ömür Kıvanç , Sezer Mehmet 
Published: April 2020

This paper presents the Lucas polynomial solution of second-order nonlinear ordinary differential equations with mixed conditions. Lucas matrix method is based on collocation points together with truncated Lucas series. The main advantage of the method is that it has a simple structure to deal with the nonlinear algebraic system obtained from matrix relations. The method is applied to four problems. In the first two problems, exact solutions are obtained. The last two problems, Bratu and Duffing equations are solved numerically; the results are compared with the exact solutions and some other numerical solutions. It is observed that the application of the method results in either the exact or accurate numerical solutions.
The Application of Geographic Information System (GIS) and Remote Sensing in Quantifying Snow Cover and Precipitation in Kabul Basin
Authors: Zaman Qamar , Khan Shahid Nawaz 
Published: April 2020

Water Resources availability is very important to social and economic well-being of the people and has huge impacts on the socio-economic scenarios of a country. Precipitation and snow cover area assessment is some of the major inputs in hydrologic modelling and also for assessing and managing water resources in a basin. The change in the water availability in a basin has huge socio-economic impacts because of the water usage for food production, industries, and many others. The main aim of this study was to measure the snow cover area and precipitation from 2001 to 2015 in the Kabul basin. Moderate Resolution Image Spectroradiometer (MODIS) and Tropical Rainfall measuring Mission (TRMM) data were used to study snow cover area and precipitation respectively during 2001-2015. 8-day snow cover product for 15 years (January) was used to analyse the snow cover while monthly data of TRMM (3B43) were used to analyse the rainfall from 2001-2015. Different image processing techniques were applied on the data retrieved using GIS and Remote Sensing softwares. Initially, SCA was seen increasing, but during the last 3-4 years, it kept decreasing gradually. Rainfall was initially recorded as low, while later on, it was recorded high and reached the highest during 2010.
Keywords: MODIS; Snow Cover; TRMM; Precipitation; Kabul Basin; Remote Sensing

Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember
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Improving the Urban Planning of the Green Zones in Al-Dammam Metropolitan Area, KSA, Using Integrated GIS location-allocation and Accessibility Models
Authors: Abdelkarim Ashraf 
Published: April 2020

In the present study, the location-allocation and the accessibility models of GIS were integrated with the urban planning standards of the Ministry of Municipal and Rural affairs of Kingdom of Saudi Arabia (KSA) in order to enhance the spatial planning and the environmental sustainability of the green zones in Al-Dammam Metropolitan area, KSA. The integration of these models provides a framework for investigating the efficiency of the spatial distribution of the green zones and generating alternatives either by suggesting new effective service or by improving an existing one. To achieve these purposes, the accessibility within (5, 10 and 15) minutes to the service areas in the green zones that is classified into nine types (“neighborhood gardens”, “specialized parks”, “cities gardens”, “children’s gardens”, “district gardens”, “streets and squares gardens”, “sports city”, “Sports clubs” and “Playgrounds”) was analyzed through analyzing the network structure of the green zones in Al-Dammam Metropolitan area. The location-allocation model was used based on the maximum coverage within response time of no more than 10 minutes.The study revealed poor distribution of the green zones, the low per capita green zones rates with only (3.52 m2/person) and there were no green zones in 45 districts representing 33.3% of the total districts in the investigated area. Consequently, Al-Dammam Metropolitan area suffers from the weakness of the green zones structure and the shortage in fulfilling the needs of population. The current needs were determined as nine services by two “sports cities”, two “sports clubs”, two “streets and Squares gardens”, one “district garden”, one “children’s garden” and one “specialized park”.it is recommended that the results of this study be taken into consideration by the decision makers while developing the urban planning strategies for improving the infrastructure efficiency as the KSA vision 2030.

Keywords: Urban planning; environmental sustainability; green zones; accessibility; location-allocation models; fair and efficient spatial distribution; KSA vision 2030.

Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember
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Multi-Hazard Zonation For Effective Management of Disasters in Tamil Nadu
Authors: Balasundareshwaran A. , Kumaraswamy K. , Balasubramani K. 
Published: April 2020

Natural hazards are a long existing threat to human and their surroundings which may occur throughout the world. Tamil Nadu is one of the Indian States with a number of natural hazard incidences. The occurrence of natural hazards, such as cyclone, storm surge, flood, drought, landslide, forest fire etc., has increased manifold in the recent decades.The multi-hazard zonation is one of the preliminary studies in disaster management scenario, which is used to understand the product of all prominent natural hazards. At the state level, it is imperative for the government to know the regions affected by multiple hazardsto help them prepare the management plans appropriately to protect the local communities and infrastructures. However, such systematic hazard assessment and integration in an administrative unit is largely missing in Tamil Nadu. Further, the utilisation of geoinformatics in the preparation of multi-hazard zonation helps to identify the most endangered areas of the State precisely and offers insights to detailed studies in highly risk zones. This paper attempts on these lines toprepare Multi Hazard Zones (MHZ) based on natural hazards viz. earthquake, landslide, cyclone, storm surge, flood, drought and forest fire of Tamil Nadu. The data for the study were generated from multiple sources, which were all generalised and integrated in a normalised scale. The occurrences, intensities and frequencies of hazards, namely seismic, landslide, and forest fire are the reasons for a very high multi-hazard in hilly tracts of the Nilgiris and parts of Shayadhri hills in Coimbatore and Theni Districts, whereas cyclone, storm surge, and flood caused a very high risk along the coastal stretch of Chennai, Kancheepuram, Cuddalore and Ramanathapuram Districts. The segregation of the results into administrative division’s which was then categorised in an order of high risk zones may providea powerful tool to the State authorities to allocate fund and resources. The output of this study also offers zonation for immediate knowledge, policy briefs, and proper disaster management plan at State level.
Keywords : Disaster Management Natural Hazards; Geoinformatics; Tamil Nadu

Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember
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Nontraumatic Osteonecrosis of the Femoral Head: Where Do We Stand Today?
Authors: Mont Michael A. , Salem Hytham S. , Piuzzi Nicolas S. , Goodman Stuart B. , Jones Lynne C. 
Published: April 2020

➢ Clinicians should exercise a high level of suspicion in at-risk patients (those who use corticosteroids, consume excessive alcohol, have sickle cell disease, etc.) in order to diagnose osteonecrosis of the femoral head in its earliest stage.➢ Nonoperative treatment modalities have generally been ineffective at halting progression. Thus, nonoperative treatment is not appropriate in early stages when one is attempting to preserve the native joint, except potentially on rare occasions for small-sized, medially located lesions, which may heal without surgery.➢ Joint-preserving procedures should be attempted in early-stage lesions to save the femoral head.➢ Cell-based augmentation of joint-preserving procedures continues to show promising results, and thus should be considered as an ancillary treatment method that may improve clinical outcomes.➢ The outcomes of total hip arthroplasty in the setting of osteonecrosis are excellent, with results similar to those in patients who have an underlying diagnosis of osteoarthritis.
A Review of State Guidelines for Elective Orthopaedic Procedures During the COVID-19 Outbreak
Authors: Sarac Nikolas J. , Sarac Benjamin A. , Schoenbrunner Anna R. , Janis Jeffrey E. , Harrison Ryan K. , Phieffer Laura S. , Quatman Carmen E. , Ly Thuan V. 
Published: April 2020

Background:
The SARS-CoV-2 (COVID-19) pandemic has resulted in widespread cancellation of elective orthopaedic procedures. The guidance coming from multiple sources frequently has been difficult to assimilate as well as dynamic, with constantly changing standards. We seek to communicate the current guidelines published by each state, to discuss the impact of these guidelines on orthopaedic surgery, and to provide the general framework used to determine which procedures have been postponed at our institution.

Methods:
An internet search was used to identify published state guidelines regarding the cancellation of elective procedures, with a publication cutoff of March 24, 2020, 5:00 p.m. Eastern Daylight Time. Data collected included the number of states providing guidance to cancel elective procedures and which states provided specific guidance in determining which procedures should continue being performed as well as to orthopaedic-specific guidance.

Results:
Thirty states published guidance regarding the discontinuation of elective procedures, and 16 states provided a definition of “elective” procedures or specific guidance for determining which procedures should continue to be performed. Only 5 states provided guidelines specifically mentioning orthopaedic surgery; of those, 4 states explicitly allowed for trauma-related procedures and 4 states provided guidance against performing arthroplasty. Ten states provided guidelines allowing for the continuation of oncological procedures.

Conclusions:
Few states have published guidelines specific to orthopaedic surgery during the COVID-19 outbreak, leaving hospital systems and surgeons with the responsibility of balancing the benefits of surgery with the risks to public health.
Prediction of Multilateral Inflow Control Valve Flow Performance Using Machine Learning
Authors: (Jabs) Aljubran Mohammad (Jabs) , Horne Roland 
Published: April 2020

Summary
Intelligent multilateral well completions provide downhole flow rate, pressure, and temperature measurements at multiple well segments, which allows for a continuous spatiotemporal data stream. Such an extensive data input poses a challenging task to decide on the optimal strategy of manipulating the inflow control valve (ICV) settings over time for best performance. In this study, we investigate using machine learning to analyze and predict well performance given different ICV settings to ultimately maximize the well output.
A commercial reservoir simulator was used to generate two synthetic reservoir models: homogeneous (Case A) and heterogeneous (Case B). These synthetic data were used to train, validate, and test machine learning models. The reservoir cases were generated on the basis of a segmented, trilateral producer completed with three ICV devices installed at tie-in segments. The data used were measurements of wellhead and downhole flow rates across ICV segments over a period of 4,000 days. A total of 1,330 experiments were conducted with an 8-day timestep, generating a total of 667,660 sample data points for each of Case A and Case B. Fully connected neural networks were used to fit the data, while model generalizability was enhanced using regularization techniques, namely L2 regularization and early stopping.
Both random sampling and Latin hypercube sampling (LHS) methods were evaluated in constructing the training, validation, and testing splits. Trained with different sample sizes drawn from the 1,330 simulated data histories for the two reservoir models, the proposed neural network showed excellent results. Given only 10 simulated choices of ICV settings for training, the network proved capable of predicting oil/water production profiles at surface for both homogeneous and heterogeneous reservoir models with greater than 0.95 coefficient of determination (R2) when evaluated at unseen, test ICV settings. Extending the problem to downhole flow performance prediction, approximately 40 training simulated settings were necessary to achieve 0.95 R2. We observed that LHS was superior to random sampling in both R2 average and confidence interval. We also found that increasing the training and validation sample sizes increased the test R2 when testing against unseen cases. Study results suggest the applicability of machine reinforcement learning to estimate the well output at different ICV settings, where the neural network model depends fully on the real-time well feedback and production measurements.
By using a machine learning approach during the operation of a well with multiple ICV settings, it would be feasible to estimate the lateral-by-lateral output at unseen scenarios. Hence, it becomes possible to maximize the well output by using an optimization algorithm to determine the optimal ICV settings.
Investigation of Countercurrent Imbibition in Oil-Wet Tight Cores Using NMR Technology
Authors: Liu Junrong , Sheng James J. 
Published: April 2020

Summary
Countercurrent spontaneous imbibition is one of the most significant mechanisms for the mass transfer between fractures and matrixes in tight reservoirs. Adding surfactants and pressurization are two common methods to enhance the imbibition. In this study, we used the low-field nuclear magnetic resonance (NMR) instrument to monitor the dynamic imbibition processes with surfactants added and fluid pressure applied. The T2 relaxation distribution and corresponding water saturation profiles during the imbibition process were obtained by analyzing NMR responses. We found that sodium alpha-olefin sulfonate (AOS) could improve the oil recoveries of laboratory-scale cores to 22.31 and 29.59% with different concentrations (0.1 and 0.5 wt%). The surfactant addition not only expands the imbibition area, but also reduces the residual oil saturation in the imbibition profile. However, the actual maximum imbibition distances are only approximately a centimeter long (0.9412 and 1.1372 cm), which is insignificant for field scale. Due to the minimal imbibition distance, high-quality hydraulic fracturing is required to generate a large number of fractures for imbibition to ensure considerable oil recovery at the field scale. In addition, surfactant is consumed during spontaneous imbibition of oil-wet rocks and increasing surfactant concentration facilitates the imbibition process. However, arbitrarily increasing the concentration does not achieve the expected oil recovery because of the high adsorption capacity resulting from the high concentration. We need to consider economic efficiency to optimize a reasonable surfactant concentration. It was found that traditional dimensionless scaling models are not applicable in the complicated surfactant-enhanced imbibition. Hence, we proposed a new scaling group for scaling laboratory date to the field in fractured oil-wet formations. Moreover, we compared the imbibition process under different pressure conditions (7.5 and 15 MPa) and found that the effect of fluid pressure on countercurrent imbibition is not obvious.
Retinoic acid receptor-related orphan receptor α reduces lipid droplets by upregulating neutral cholesterol ester hydrolase 1 in macrophages
Authors: MATSUOKA Hiroshi , TOKUNAGA Riki , KATAYAMA Miyu , HOSODA Yuichiro , MIYA Kaoruko , SUMI Kento , OHISHI Ami , KAMISHIKIRYO Jun , SHIMA Akiho , MICHIHARA Akihiro 
Published: April 2020

Abstract
Background: Neutral cholesterol ester hydrolase 1 (NCEH1) catalyzes the hydrolysis of cholesterol ester (CE) in macrophages. Genetic ablation of NCEH1 promotes CE-laden macrophages and the development of atherosclerosis in mice. Dysregulation of NCEH1 levels is involved in the pathogenesis of multiple disorders including metabolic diseases and atherosclerosis; however, relatively little is known regarding the mechanisms regulating NCEH1. Retinoic acid receptor-related orphan receptor α (RORα)-deficient mice exhibit several phenotypes indicative of aberrant lipid metabolism, including dyslipidemia and increased susceptibility to atherosclerosis. Results: In this study, inhibition of lipid droplet formation by RORα positively regulated NCEH1 expression in macrophages. In mammals, the NCEH1 promoter region was found to harbor putative RORα response elements (ROREs). Electrophoretic mobility shift, chromatin immunoprecipitation, and luciferase reporter assays showed that RORα binds and responds to ROREs in human NCEH1. Moreover, NCEH1 was upregulated through RORα via a phorbol myristate acetate-dependent mechanism during macrophage differentiation from THP1 cells. siRNA-mediated knockdown of RORα significantly downregulated NCEH1 expression and accumulated lipid droplets in human hepatoma cells. In contrast, NCEH1 expression and removal of lipid droplets were induced by RORα agonist treatments and RORα overexpression in macrophages. Conclusion: These data strongly suggested that NCEH1 is a direct RORα target, defining potential new roles for RORα in the inhibition of lipid droplet formation through NCEH1.
Exploring transcriptomic landscapes in red blood cells, in their extracellular vesicles and on a single-cell level
Authors: Kerkelä Erja , Lahtela Jenni , Larjo Antti , Impola Ulla , Mäenpää Laura , Mattila Pirkko 
Published: April 2020

Abstract
Background Circulating human red blood cells (RBCs) consist of mature erythrocytes and immature reticulocytes. Being anucleated, RBCs lack typical transcriptomes, but are known to contain small amounts of diverse long transcripts and microRNAs. However, the exact role and importance of these RNAs is lacking. Shedding of extracellular vesicles (EVs) from the plasma membrane constitutes an integral mechanism of RBC homeostasis, by which RBCs remove unnecessary cytoplasmic content and cell membrane.Results To study this further, we explored the transcriptomes of RBCs and extracellular vesicles (EVs) of RBCs using next-generation sequencing. Furthermore, to understand the dynamics of the RBC transcriptome, we performed single-cell RNA sequencing on RBCs. An analysis of the single-cell transcriptomes revealed that approximately 10% of the cells contained detectable levels of mRNA and fell into three subpopulations based on their transcriptomes. Decrease in the mRNA quantity was observed across the populations. Qualitative changes included the differences in the globin transcripts and changes in the expression of ribosomal genes. A specific short splice form of a long non-coding RNA, Metastasis Associated Lung Adenocarcinoma Transcript 1 (MALAT1), was the most enriched marker in one subpopulation of RBCs, co-expressing with ribosomal structural transcripts. MALAT1 expression was confirmed by qPCR in CD71-enriched reticulocytes, which were also characterized with imaging flow cytometry at single cell level.Conclusions Analysis of the RBC transcriptome shows enrichment of pathways and functional categories required for the maturation of reticulocytes and erythrocyte functions. The RBC transcriptome was detected in their EVs, making these transcripts available for intercellular communication in blood. Our experiments on single cell level revealed that lncRNA MALAT1 is the marker for one of the three RBC populations co-expressing with a group of ribosomal protein transcripts.