bluuebunny/crossref_metadata_2025_split huggingface dataset:
La ciudadanía republicana como alternativa para el desarrollo democrático en el siglo XXI
Authors: Pérez-Verduzco Germán 
Published: March 2023

Introducción: En el presente artículo de reflexión se plantea que, por sus características, el modelo de ciudadanía republicana es la mejor alternativa para promover la participación ciudadana en las democracias occidentales contemporáneas.
Objetivo: El propósito del texto es analizar las ventajas de la ciudadanía republicana respecto a otros modelos, así como explicar las razones por las que se le considera el enfoque más adecuado para el desarrollo teórico y práctico de la participación ciudadana.
Método: Para su elaboración, se recurrió al método de investigación documental. En cuanto a la estructura del artículo, primero, se presenta el debate entre las visiones de democracia representativa y democracia participativa; posteriormente, se examina la influencia de los paradigmas realista e idealista como corrientes filosóficas políticas que subyacen y sustentan las principales premisas de ambas perspectivas de democracia. Al final, se describen los modelos de ciudadanía liberal, comunitarista y republicana, así como sus implicaciones para la participación ciudadana.
Resultados: Del análisis realizado se concluye que el modelo de ciudadanía republicana permite superar la dicotomía representación-participación, además de brindar un cimiento más sólido y congruente tanto a la teoría como a la praxis del involucramiento ciudadano en los asuntos públicos.
Cadeau de fiançailles byzantin d’une princesse normande ? (cod. Iviron 463 [Lambros 4583])
Authors: Egedi-Kovács Emese 
Published: March 2023

AbstractThe manuscript Iviron 463 contains the Greek version of the Barlaam and Joasaph Romance. Apart from the beautiful miniatures in the codex, it is also special because of a complete, heretofore not transcribed Old French translation running through the margin of the manuscript. The uncommon bilingual manuscript is of significant importance not only from the perspective of Old French philology but also from the perspective of linguistic and literary interactions between cultures. This paper examines the circumstances of the creation of the manuscript and the questions related to the commissioner in more detail.
Seasonal Variations of Seismic Travel-Time Changes in Binchuan, Southwestern China, Inferred from Large Volume Air-Gun Source Array Data
Authors: Luan Yi , Yang Hongfeng , Wang Baoshan , Yang Wei , Wang Weitao , Yang Jun , Li Xiaobin , Ran Jiangjun 
Published: March 2023

AbstractActive sources, especially air-gun sources in the water reservoir, have proven to be powerful tools for detecting regional scale velocity changes. However, the water level change affects the repeatability of the air-gun waveform and, thus, affects the stability of the detection of the velocity changes. This article explores how to make full use of the air-gun signals excited at different water levels from analyzing three years of air-gun data recorded by 20 stations deployed from ∼50 m to ∼25 km from the source. At the same time, by utilizing the poroelastic model, we quantify both vertical and horizontal distances affected by the water level change. More important, supported by the strain data from one borehole strainmeter station, the influence mechanisms of the seasonal variation derived from the three years of air-gun data are also discussed. Results indicate the water level affects the main frequency of the air gun and has a strong influence on the coda wave. When the water level of the reservoir changes abruptly, the dominant effect on the derived delay time change is from the water level change. In this case, the deconvolution method can hardly eliminate the influence of the abrupt water level change. However, when the reservoir's water level changes gently, the delay time varies accordingly rather than inversely with the water level. Other reasons affect the material properties and, thus, influence the derived delay time. The modeled vertical component of poroelastic strain caused by the reservoir water level change is 1×10−7. The observed strain (4×10−7) from the strainmeter is likely associated with thermoelastic strain induced by temperature change. Our results show that although the long-term air-gun signal is affected by water level, there is still much information about changes in the subsurface that is worth mining.
Pyseistr: A Python Package for Structural Denoising and Interpolation of Multichannel Seismic Data
Authors: Chen Yangkang , Savvaidis Alexandros , Fomel Sergey , Chen Yunfeng , Saad Omar M. , Oboué Yapo Abolé Serge Innocent , Zhang Quan , Chen Wei 
Published: March 2023

AbstractNew sensing techniques like the nodal geophones and distributed acoustic sensing enable a spatial sampling ratio that was unprecedentedly high in earthquake seismology. The much higher sampling of seismic wavefields that is close to the level in exploration seismology calls for a unified processing approach for multichannel seismic data regardless of the research interest, for example, oil and gas oriented or earthquake-study oriented. Here, we present the first Python package for multichannel seismic data that benefits both communities, that is, exploration and earthquake seismology, called Pyseistr. The Pyseistr is a Python package that is designed to make full use of the structural patterns in multichannel seismic data to facilitate the data processing. The Pyseistr package currently includes several fundamental functions like slope estimation, structural mean and median filtering, and structural reconstruction of missing data. The Pyseistr package is continuously developed to include more functions that benefit both exploration and earthquake communities.
Seismic Monitoring of Novaya Zemlya: Progress, Challenges, and Prospects
Authors: Kværna Tormod , Dando Ben David Edward , Gibbons Steven John 
Published: March 2023

AbstractThe permanent seismic stations of the European Arctic maintain a detection threshold of around magnitude 2 for events on and around Novaya Zemlya. Events above magnitude 3 are clearly observed by multiple stations at regional and far-regional distances and, with improved travel-time models, can be located with high accuracy. The monitoring capability for smaller magnitude events is dominated by the small aperture seismic arrays ARCES and SPITS. We review the properties of Novaya Zemlya seismic signals on key stations and discuss how empirical signal processing may enhance detection and interpretation of future events in the region. We present a joint probabilistic location for 21 low-magnitude events between 1986 and 2020 in which the joint probability distribution for all events simultaneously exploits both constraints on earlier events from stations no longer in operation and constraints on newer events from more recently deployed stations. Advances in signal processing, enhanced exploitation of archive data, new permanent stations, and comparative multiple event analysis will all contribute both to a more robust and sensitive detection capability and higher confidence in signal interpretation.
Cognitive Abilities Related to Reading and Writing Skills in Chinese Third-grade Children
Authors: Ou Jieping , Sambai Ami , Pei Hong , Uno Akira , Yoneda Hiroki 
Published: March 2023

In this study, we analysed the cognitive abilities that predict reading and writing attainment in the Chinese language for Mandarin-speaking children. A total of 140 Chinese third-graders studying in Ningbo, Zhejiang were evaluated for their visual cognition including visual perception and memory, naming speed, vocabulary knowledge, phonological skills, nonverbal intelligence, and abilities to read and write. The results of multiple regression analyses revealed that word and nonword reading accuracy were predicted to a significant degree by visual memory and phonological awareness, respectively. Naming speed significantly contributed to the reading speeds regarding words, nonwords, and paragraphs. Our results also showed that the scores in word and nonword reading predicted the scores of writing as well. Visual memory and phonological awareness are essential for reading Chinese accurately, while naming speed is an important factor for Chinese reading fluency. The present results have implications regarding the design of useful tasks that screen poor readers of Chinese.
The role of growth differentiation factor-15 in assessing the prognosis of patients after uncomplicated myocardial infarction
Authors: Galyavich A. S. , Sabirzyanova A. A. , Baleeva L. V. , Galeeva Z. M. 
Published: March 2023

Aim To study the role of growth differentiation factor 15 (GDF-15) in the long-term prognosis for patients after uncomplicated myocardial infarction (MI).Material and methods This study included 118 MI patients aged <70 years with and without ST-segment elevation on electrocardiogram (ECG). All patients underwent an examination that included ECG, echocardiography, Holter ECG monitoring, routine laboratory tests, and tests for plasma N-terminal pro-brain natriuretic peptide (NT-proBNT) and GDF-15. GDF-15 was measured by ELISA. The dynamics of patients was evaluated by interviews at 1, 3, 6, and 12 months. The endpoints were cardiovascular death and hospitalization for recurrent MI and/or unstable angina. Results Median concentration of GDF-15 in MI patients was 2.07 (1.55; 2.73) ng/ml. No significant dependence was found between GDF-15 concentration and age and gender, MI localization, smoking, body weight index, total cholesterol, and low-density lipoprotein cholesterol. During 12-month follow-up, 22.8 % of patients were hospitalized for unstable angina or recurrent MI. In 89.6 % of all cases of recurrent events, GDF-15 was ≥2.07 ng/ml. For patients with GDF-15 in the upper quartile, the time dependence of recurrent MI was logarithmic. High concentrations of NT-proBNP in MI patients were also associated with increased risk of cardiovascular death and recurrent cardiovascular events [RR, 3.3 (95 % CI, 1.87–5.96), р=0.046].Conclusion A combination of GDF-15 and NT-proBNP at high concentrations significantly reflects an adverse prognosis for patients with uncomplicated MI within 12 months [RR, 5.4 (95 % CI, 3.4–8.5), р=0.004].
<em>Pueraria thomsonii </em>Radix Water Extract Alleviates Type 2 Diabetes Mellitus in <em>db/db </em>Mice through the Integrated Regulation of Metabolism and Gut Microbiota
Authors: Li Jiarong , Liu Yuhui , Ouyang Hui , Sun Yong , Zhong Youbao , Wang Lifang , Huang Jiaxing , Chen Junchang , Tan Xiangyan , Li Mingyao , Hu Yue , Zhang Hua , Liu Ronghua 
Published: March 2023

Type 2 diabetes mellitus(T2DM) is an increasingly prevalent and serious health problem. Its onset is typically associated with metabolic disorders and disturbances in the gut microbiota. Previous studies have reported the anti-T2DM effects of Pueraria thomsonii Radix as a functional food. However, the mechanism of action is still unknown. In this study, the effects of Pueraria thomsonii Radix water extract(PTR) on db/db mice were evaluated by pharmacology, metabolomics, and 16S rRNA gene sequencing. The results showed that PTR could improve the body weight of mice, reduce fasting blood glucose(FBG), urinary glucose(UGLU), homeostasis model assessment insulin resistance(HOMA-IR), urinary albumin/creatinine ratio(UACR), and reduce pancreatic tissue damage. Metabolomics showed that the Model group produced 109 differential metabolites, of which 74 could be regulated by PTR. 16S rRNA sequencing was done in fecal samples and results showed that PTR could reduce the Firmicutes/Bacteroidetes ratio(F/B) associated with obesity and regulate 3 beneficial bacteria and 1 harmful bacteria. In conclusion, the results showed that PTR could ameliorate T2DM symptoms, metabolic disorder, and gut microbiota imbalance of db/db mice, and it was superior to metformin in some aspects. We suggested for the first time that γ-aminobutyric(GABA) may be involved in the regulation of the microbiota-gut-brain axis(MGB) and thus affect the metabolic disorders associated with T2DM. This study will provide a scientific basis for the development of functional food with PTR.
Potential Utilization of Rock-Based Geopolymers for Oil Well Cementing at Cold Areas
Authors: Khalifeh Mahmoud , Delabroy Laurent , Kverneland Johan 
Published: March 2023

Abstract
Geopolymers are class of inorganic polymers developed from aluminosilicate materials. Application of geopolymers in oil and gas industry has gotten the attention of engineers due to mechanical properties and their durability in corrosive environments. All the experiments conducted are in lab scale and elevated temperatures. However, their performance at low temperatures has not been tested. In this article, properties of rock-based geopolymers, liquid state and solid state, developed for well cementing is measured at 4-30ᵒC whereas called low temperature. Viscosity, consistency, static gel strength, and strength development are among the properties measured.
Viscosity of the slurry was increased as temperature was reduced. The lower the temperature the longer the setting time. When the slurry started to set, static gel strength development was relatively fast. The geopolymer developed strength at low temperatures and the right-angle-set properties was remained. Strength development does not have linear relationship with temperature.
Drill String Failure Prediction Methodology Using Data Analytics for Real Time Well Engineering
Authors: Thakur Bharat , Chokshi Vishrut , Patel Kushan , Samuel Robello 
Published: March 2023

Abstract
Vibration signals in the form of real-time accelerations recorded downhole often contain strong noise, making it difficult for fault or failure diagnosis during drillstring. Vibration signals include noise from sources, such as motors, bit and drillstring interactions with the borehole, rugged boreholes, and similar interactions. Sometimes, this noise is stronger than the underlying signal, which might lead to false alarms or misrecognition. This paper discusses a novel approach to diagnose failure in real-time, which is also robust to noise.
Existing methods for fault or failure diagnosis are based on threshold values of peak and average vibrational signals. This paper introduces a hybrid method of combining signal demodulation with spectral analysis to predict drillstring failure. This method deconvolutes the signal with the help of minimum entropy deconvolution (MED) and Teager-Kaiser energy operator (TKEO) to remove ambiguity as a result of noise. Then, the signal is decomposed into various intrinsic mode functions (IMFs) that have the highest correlation with the original signal and can be used for failure diagnosis.
This paper also discusses how spectral analysis can be applied on selected IMFs by comparing the IMF’s impact frequency with the system’s natural frequency so its harmonic drillstring failure can be diagnosed more precisely.
Automatic Drill Bit Dull Grading Report Generation to Address the Revised IADC Dull Grading Schema
Authors: Chu Jian , Ashok Pradeepkumar , Chen Dongmei , van Oort Eric 
Published: March 2023

Abstract
The current IADC bit dull grading process has served the drilling industry well for over 30 years, and it has helped the industry achieve significant improvements in drill bit selection and design. With rapid development of computational techniques such as computer vision and machine learning, the general consensus is that the previous grading process can now be updated to capture additional information about the bits that was previously discarded to enhance the grading process and the information is delivers while keeping it simple. An IADC committee is currently working on finalizing this new schema.
In comparison to the previous bit dull grading process, more details about the drill bit such as cutter damage type have been added to the new schema. Additionally, capturing pre-run and post-run bit images is recommended to enable detailed bit forensic analysis into root causes of observed damage. For the bit dull grading process at rig site, a preliminary grading report needs to be filled out and rig site bit photos also need to be captured.
The objective of the work reported here was to develop an algorithm to automatically analyze 2D bit images and quickly generate are port that fulfills the new IADC dull grading requirements. Several deep learning models and classic machine learning algorithms were developed to automate the bit dull grading process. Given a set of high-quality bit images, the proposed set of algorithms will process and analyze the images automatically and generate a dull grading report. Different sets of bit images were tested with the proposed algorithms, and the results show that they are able to achieve good performance under standard scenarios. A discussion on hurdles that remain to be tackled is also included.
Development of Guidepost Based Wellhead Load Relief System (GP-WLR)
Authors: Fuhr Geir Gundersen , Stangeland Jone , Reinås Lorents , Oppedal Bjørn Birger , Sæther Morten 
Published: March 2023

Abstract
This paper describes the development of a novel wellhead load relief system improving operational aspects and wellhead fatigue management achieved by an unconventional utilization of existing equipment. The objective is to provide insight in a newly developed technology for Wellhead Fatigue mitigation with the potential to become a future element in fatigue management. The operational aspect is appealing as this system is effective with remotely operated hook-up and a minimum of additional equipment needed. The development of the system started in 2015 during planning of several exploration wells and have continued as a cooperation between the drilling and subsea disciplines within Equinor.
The Guidepost Well Load Relief (GP-WLR) seeks to be a load reduction and operational effective wellhead load relief system through integration of WLR functionality with existing BOPs and redirecting well load thru guideposts and subsea structures already present. The GP WLR system is modular which provides for flexibility in finding a way of adding it to legacy equipment. The basic idea of such a system is explained and then how the development has evolved internally in Equinor from idea, concept, prototype, and implementation. At this stage the GP-WLR technology has been used in operations by a subsea drilling Blow Out Preventer (BOP) and a Work Over stack. The effect and use of the system will be discussed in an operational perspective. The operation of the GP-WLR system is using remote access. Experiences gained during prototype testing and first-time use have shown that the GP-WLR system have worked as intended.
The authors believe GP-WLR to be a significant contribution to the wellhead fatigue mitigation toolbox while reducing the risk for damage to equipment and personnel.
GP-WLR will be a significant contribution to the wellhead fatigue management and allows optimizing drilling schedule while also reducing the risk for damage to equipment and personnel.
Environmentally Compliant Flexible Cement System Achieves Customer Zonal Isolation Objectives: A Case History from the Norwegian Continental Shelf
Authors: Akhmetov Talgat , Barreiro Jose , Johnson Carl , Knowles John 
Published: March 2023

Abstract
An operator had a need to cement a 13⅜-in. casing to act as a secondary barrier against a reservoir with the top of cement 100 m above a sand formation. In a subsequent section, the operator required installing and cementing a 9⅝-in. liner as the primary barrier element prior to drilling into the reservoir and placing the top of cement up to the 13 ⅜-in. casing shoe. The operation required placing a minimum 30 m of isolating cement in the cemented interval, where verification of the barrier was to be obtained by using logging tools.
To comprehend the operating environment the cement would experience, it was necessary to determine an optimal cement system for the anticipated pressure and temperature cycles in the well. The service company performed a cement integrity evaluation using specialized cement sheath stress analysis software. The simulation software determined which cement system was best suited for exposure to the anticipated pressure and temperature cycles during injection and production. Based on the simulation results, the operator decided to use an environmentally compliant flexible (ECF) cement system. This novel system also significantly reduced the CO2 emissions (CO2e) footprint vs. conventional cement.
The operator drilled the 17½-in. open hole to 1888 m measured depth (MD) without any issues using a proprietary flat rheology drilling fluid system. A total of 18.9 m3 of 1.60 specific gravity (SG) ECF cement slurry was pumped. During displacement, no losses were observed as the spacer entered the annulus, and consistent lift pressure was observed as the cement entered the annulus. The job signature pressure match conducted using proprietary zonal isolation software indicated that the openhole size was near gauge hole. The 12¼-in. open hole was drilled, and the 9⅝-in. liner was successfully run to total depth without incident. A total of 16.1 m3 of 1.60 SG ECF cement slurry was pumped. No losses were observed during the cementing operation, and consistent lift pressure was recorded during displacement.
The liner was logged using ultrasonic imaging tools, with the top-of-cement bond identified at the 13⅜-in. casing shoe with a total 248 m of isolating cement. The operation achieved the required isolation to install the cemented liner as the primary barrier element prior to drilling into the reservoir, in addition to the exceptional logging results. The ECF cement system provided outstanding bond quality from 1882 to 2130 m. Remarkably, as an energy transition technology when compared with a conventional foamed cement system, the ECF cement system reduced CO2 emissions by 44% and simplified the operation by eliminating the use of foamed cement. Furthermore, the ECF cement is environmentally rated as PLONOR (poses little or no risk) and eliminates the use of polymeric materials to impart flexibility.