bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oito de Copas: O ateliê como espaço/estado de iniciação do artista-mago
Authors: Oliveira Santos Jéferson Diogo de , Dias Alexandra Gonçalves 
Published: November 2024

O artista. O xamã. O mago. Todos os três criam em seus espaços sagrados, seus círculos mágicos. O presente trabalho visa tensionar as práticas a partir do artista-mago, reaproximando distintos modos de fazer e experimentar a vida. Partindo do ateliê como um espaço de criação de si e do mundo, através de uma metodologia de pesquisa em artes, acompanhamos o trabalho de criação pela minha própria jornada de formação como artista-mago. Construindo obras e produzindo escritas, percebo o ateliê como um espaço/estado que me inicia enquanto artista-mago e pesquisador. Como um ser que tensiona mundos, trago a performance como um processo de cura psíquica. Abstract: The artist. The shaman. The magician. All three create in their sacred spaces, their magic circles. This work aims to tension practices based on the artist-magician, bringing together different ways of doing and experiencing life. Starting from the studio as a space for creating oneself and the world, through an arts research methodology, we follow the creative work through my own journey of training as an artist-magician. Building works and producing writings, I perceive the studio as a space/state that initiates me as an artist-magician and researcher. As a being who tensions worlds, I approach performance as a process of psychic healing.
ЦИФРОВОЙ ЧЕЛОВЕК: К ВОПРОСУ О МЕТОДОЛОГИИ ФИЛОСОФСКИХ ИССЛЕДОВАНИЙ
Authors: Е.В. ГРЯЗНОВА 
Published: November 2024

Понятие «цифровой человек» сегодня достаточно активно включается в категориальный аппарат философского и научного знания. Исследование данного феномена в различных областях науки создает его неоднозначное понимание, формируя множество определений, требующих систематизации. Философия, будучи знанием плюралистичным по своей природе, разрабатывает методологию исследования цифрового человека в различных направлениях (в феноменологии, герменевтике, онтологии, антропологии и др.), что также формирует множество концепций и подходов к пониманию этого явления. В данной работе автор предпринимает попытку выполнить аналитический обзор имеющихся подходов и концепций в исследовании феномена цифрового человека и определить ключевые позиции и направления в выработке соответствующей научно-философской методологии.
The concept of “digital human” is now quite actively included in the categorical apparatus of philosophical and scientific knowledge. The study of this phenomenon in various fields of science produces its ambiguous understanding and forms many definitions that need to be systematized. Philosophy, being a knowledge that is pluralistic by its nature, develops a methodology for studying the digital human in various philosophical areas (phenomenology, hermeneutics, ontology, anthropology, etc.), which also generates many concepts and approaches concerning understanding the phenomenon. In this paper, the author attempts to perform an analytical review of existing approaches and concepts in the study of the phenomenon of digital human and to identify key positions and trends in the development of an appropriate scientific and philosophical methodology.
Crecimiento y acumulación de nutrimentos en la variedad de papa ELBE-UCR
Authors: Ulloa-Calvo Eric , Camacho-Umaña Manuel E. , Brenes-Angulo Arturo 
Published: November 2024

Introducción. El cultivo de la papa representa una actividad fundamental en la economía costarricense. Desde el 2015, la variedad Elbe- UCR está disponible en la agrocadena de papa, y es considerada como promisoria debido a su alta tolerancia a patógenos, plagas insectiles y condiciones de sequía, así como sus elevados rendimientos (mayores a 40 t ha-1). Pese a lo anterior, no se tienen estudios sobre crecimiento y acumulación de nutrimentos que permitan una mejor planificación de la fertilización del cultivo, con miras a una producción más sostenible. Objetivo. Desarrollar y validar las curvas de acumulación de nutrimentos en la variedad de papa Elbe-UCR, cultivada en la Zona Norte de Cartago. Materiales y métodos. Se recolectaron muestras de la biomasa de la planta cada 15 días después de la siembra (dds), las cuales se separaron en parte aérea, tubérculo y raíz, para determinar su masa fresca y seca, así como su concentración de nutrimentos. Resultados y discusión. La variedad Elbe-UCR acumuló un valor promedio de materia seca de 12016 kg ha-1 a los 135 dds, de los cuales el 70% correspondió a la biomasa del tubérculo. Para un rendimiento de 40 t ha-1, esta variedad acumuló un total de 195, 20, 312, 54, 16, y 20 kg ha-1 de N, P, K, Ca, Mg y S, respectivamente. También, acumuló un total de 336, 123, 6250, 337, y 213 g ha-1 de Zn, Cu, Fe, Mn y B, respectivamente. Conclusión. La variedad Elbe-UCR presentó una gran capacidad de acumulación de Ca y K, y no requiere los niveles altos de N que aplican regularmente los productores en Costa Rica. Los resultados obtenidos en el presente trabajo se consideran básicos para el manejo correcto de la fertilización y desarrollo de formulaciones comerciales para esta variedad, con miras a una producción más sostenible.
Associations of levels of biochemical markers of chronic and acute inflammation, abdominal obesity and post-COVID syndrome in COVID-19 convalescents
Authors: Karaseva A. A. , Afanaseva A. D. , Garbuzova E. V. , Kashtanova E. V. , Polonskaya Ya. V. , Shramko V. S. , Logvinenko I. I. , Ragino Yu. I. 
Published: November 2024

Aim. To study the associations of abdominal obesity (AO), levels of biochemical markers of chronic and acute inflammation, and post-COVID syndrome (PCS) in coronavirus disease 2019 (COVID-19) con­valescents.Material and methods. The cross-sectional observational study included 166 people aged 18-84 (44,6% men) who were COVID-19 convalescents. In all patients, medical history and anthropometric data were collected. AO was defined as waist circumference >80 cm in women and >94 cm in men. In the blood serum, the concentrations of following biochemical markers of chronic and acute inflammation were determined by the enzyme immunoassay method: interferon alpha, interleukins (IL) 1 beta (IL-1β), IL-6, IL-8, monocyte chemoattractant protein-1 (MCP-1), insulin, C-peptide, high-sensitivity C-reactive protein (hsCRP).Results. COVID-19 convalescents with PCS and AO had significantly higher levels of IL-6 (3,13 [2,26;4,98] and 1,74 [1,10;3,04] pg/ml, p<0,0001, respectively) and hsCRP (3,83 [2,42;10,16] and 2,34 [0,70;5,79] mg/l, p=0,028, respectively) than without AO. Insulin and C-peptide demonstrated significant differences in COVID-19 convalescents with AO regardless of PCS. Multivariate logistic regression analysis showed that the odds of having AO in COVID-19 convalescents with PCS increased by 1,6 times with an increase in blood IL-6 by 1 pg/ml (odds ratio (OR) 1,581, 95% confidence interval (CI): 1,001-2,416; p=0,047) and by 1,2 times with an increase in blood insulin by 1 pg/ml (OR 1,168, 95% CI: 1,015-1,343; p=0,030). AO in men with PCS is associated with the concentration of IL-6 (OR 1,943, 95% CI: 1,018-3,709; p=0,044) and IL-1β (OR 0,591, 95% CI: 0,362-0,967; p=0,036). PCS in women with AO and cardiovascular diseases is associated with the level of MCP-1 (OR 0,991, 95% CI: 0,983-0,999; p=0,035).Conclusion. In COVID-19 convalescents with PCS, the AO probability is associated with an increase in blood IL-6 and insulin. In men, the AO probability is associated with an increase in IL-6 and a decrease in IL-1β. In women with AO and a history of cardiovascular diseases, PCS is associated with the level of MCP-1 in the blood.
Development of a teaching media: Powtoon as a learning media for arithmetic
Authors: Kania Nia , Kusumah Yaya Sukjaya , Kyaruzi Florence M. 
Published: November 2024

Mathematics is a fundamental science that characterizes the advancement of modern technology. Powtoons are used to explain mathematical concepts attractively, to students' conceptual understanding of mathematics. This study explores how media developed using the Powtoon application can enhance students' understanding of mathematical concepts. This study used the research and development (R & D) method with the ADDIE model. Furthermore, data was obtained from 30 students in a Junior High school. The instruments used include a validation sheet of teaching materials, teacher and student practicality assessment sheets, and tests of students' mathematical understanding abilities. The overall data obtained indicated that students' responses to Powtoon media are good. Based on observations, students like it, but there are a small number of students who feel stiff when learning with Powtoon media. Meanwhile, the teacher's response was high, and this indicated that the teacher felt very helped by the presence of Media Powtoon. In the limited trial phase, the results of teacher and student assessments generally gave practicality assessments, with an average being in the "practical" category. Meanwhile, in the field trial, the result showed that mathematical understanding ability was significantly better than the average pretest.
Keywords: ADDIE models; arithmetic material; learning technologies; mathematical understanding; Powtoon media.
Well Interference Test in Naturally Fractured Gas Reservoir: Numerical Simulation and Impact on Reservoir Performance Forecasting
Authors: Gavrilov A. V. , Togaev S. E. , Limanskii E. N. , Abidov K. A. 
Published: November 2024

Abstract
The paper presents the evolution of the simulation approach for a green gas field in the Republic of Uzbekistan. The field is currently being appraised as part of the pilot development design process. The reservoir is composed of intensely fractured carbonate rock.
Appraisal results that explicitly required an immediate transition from single porosity (SP) simulation to the dual porosity (DP) approach are described along with the resulting impact on production forecasting and reservoir development design.
During an appraisal campaign, a well interference test intended for a dual media study has been conducted. The SP simulation model, which was used as a main RE tool for designing the field development, failed to simulate it. This required the implementation of the DP approach.
The DP model predicts a shorter period of gas production plateau and earlier water breakthrough compared to the SP model. The uncertainty most impacting on cumulative production is revealed to be the aquifer volume. In the DP model case, the larger the aquifer, the shorter the production plateau and the sooner water breakthrough occurs. Conversely, the SP model case establishes the positive impact of the aquifer volume on cumulative production. Thus, the SP approach conceals significant RE risks, leading to suboptimal field development decisions. The appraisal program and the pilot development project for the field have been updated to ensure they remain optimal, considering the new simulation approach.
Therefore, for the fractured reservoir – where reservoir permeability is provided by fractures and porosity is attributed to matrix – it is crucial to conduct fracture studies and implement the appropriate simulation approach from the very first steps of field exploration.
Matching a DP model to an interference test data results in determining storage and flow capacity parameters: porosity, permeability and compressibility for the matrix and fractures separately, whereas the analytical model's interpretation provides only integrated parameters of dual media – interporosity flow coefficient and storativity ratio.
Furthermore, at the early stages of a field development the fracture compressibility, which critically impacts reservoir performance, can only be evaluated using the approach presented.
Deformation Monitoring of Northern Caspian Sea Kashagan Oilfield Using Radar Satellite Remote Sensing
Authors: Bayramov E. , Tessari G. , Kada M. , Aliyeva S. , Buchroithner M. , Neafie J. , Duisenbiev A. 
Published: November 2024

Abstract
This study focused on the assessment of marine Kazakhstan Kashagan oil field located in the Northern Caspian Sea. High-resolution COSMO-SkyMed (CSK) and medium-resolution Sentinel-1 (SNT1) satellite images acquired during 2018-2022 were used for persistent scatterer interferometric processing (PS-InSAR). Based on the measurements from ascending and descending satellite tracks, decomposition of line-of-sight measurements were applied to achieve vertical and horizontal deformations. The practical value and novelty of the present studies were to optimize and simplify monitoring and inspection activities for geohazard risk assessment of offshore petroleum and gas infrastructure in the Caspian Sea.
Molecular Dynamic Prognosis for Ti-C10H16N2O8 Filter Cake Decomposition
Authors: Irawan S. , Wayo D. D. K. , Bayramov E. , Fathaddin M.T. , Goliatt L. 
Published: November 2024

Abstract
Chelating agents such as Ethylene-Diamine-Tetra-Acetic (EDTA) had been suggested to be a newly designed biodegradable filter cake breakers that could enhance efficiency in filter cake removal. This chelate-based fluid had been proven to effectively dissolved the bridging agent in the filter cake which was calcium carbonate causing the removal of the filter cake to be successful. Besides that, the ability of the chelating agents to provide low corrosion potential made chelating agent as a great alternative for live mineral acids. This provided less aquatic toxicity, more human and environment friendly and readily. However, traditional EDTA cannot performance well in the high-pressure, high-temperature (HPHT) wellbore environments. Therefore, in this study, we explore the use of Titanium-enhanced ethylenediaminetetraacetic acid (Ti-EDTA) as a novel chemical breaker for the decomposition of filter cakes formed in high-pressure, high-temperature (HPHT) wellbore environments. Using ab initio molecular dynamics (AIMD) simulations within the Quantum Espresso framework version 7.2, we examine the molecular interactions, atomic displacements, and thermodynamic behavior of Ti-EDTA in contact with synthetic-based mud (SBM) residues. The simulations track the structural evolution of Ti-EDTA during filter cake decomposition, revealing significant molecular rearrangements and enhanced solubility of the filter cakes. Compared to traditional EDTA-based and silica-based breakers, Ti-EDTA shows improved potential energy and particle mobility, indicative of greater decomposition efficiency. Our results indicate that EDTA resulted in a more negative potential energy of −1035 Ry signifying a stable system, whereas Ti-EDTA simulation yielded a less stable system with a value of −935 Ry energy. The atomic interactions at both levels indicated that Ti-EDTA possesses higher temperature by 16000 K and with a coupled higher potential energy makes an effective chemical to enhance decomposition reactions. For a higher rate of potential energy, temperature and volume, Ti-EDTA molecule best beats EDTA in terms AIMD simulated efficiency. The integration of titanium ions into the EDTA structure significantly boosted the simulation performance, making it a promising candidate for environmentally friendly wellbore cleanup applications. The study provides insights into the molecular mechanisms driving filter cake degradation and sets the stage for future experimental validation of Ti-EDTA's efficacy in field operations.
Cloud-Based Digital Solution: A Modern Approach to Casing Design for Tengizchevroil Complex Wells
Authors: Rakhmetov Z. , Morrison A. , Kamzayev N. , Mulyukova Y. , Majumdar C. , Temple P. 
Published: November 2024

Abstract
Tengizchevroil (TCO) deployed a cloud-based solution in 2022, adopting engineering planning workflows to enhance collaboration among all disciplines' experts—wells drilling, geologists, geomechanics, and service providers. The key benefit was having one integrated solution that contains multiple engines and communicates with geological software, thus minimizing data re-entry and reducing manual inputs or requests to a minimum. At the time of the cloud-based deployment and adoption, the casing design workflow was considered a very complex task that needed to be verified and validated by subject matter experts. This paper outlines the casing design validation and verification process within the cloud-based solution, its results, lessons learned, and the way forward for the process.
TCO utilizes two generic casing designs for all wells, which is selected based on production reservoir targets. Design standard requires performing casing design analysis for each individual well using tailored software and then validating against design requirements.
The cloud-based solution offers both uniaxial and triaxial stress analysis for casing design, accounting for multi-axis stresses with a predefined set of load cases. This capability allowed subject matter experts to create load cases and customize workflows to align with standard TCO policies. Casing design relies on several engineering inputs, such as trajectory, wellbore schematics, pore and fracture pressure windows, drilling fluids, casing integrity tests, and other parameters. When any of these engineering inputs are altered, ensuring changes are reflected in the casing design calculation, is always a challenge. The single-entry approach of the digital platform accounts for changes and minimizes mistakes by ensuring data is entered by domain experts, thereby improving the accuracy and efficiency of the casing design process. The cloud-based solution's ability to create customized-automated load cases significantly reduces the need for manual data entry to calculate internal or external pressure profiles.
As part of the verification and validation process, TCO, collaborating with a subject matter expert, confirmed the cloud-based solution outputs provide comparable results against the previously used software, resulting in the acceptance of the new TCO Casing Design Process.
For the TCO project, the way forward involves continuing to use cloud-based solution as a tool for future planning and execution of the well construction. The uniqueness of this paper lies in its focus on the integration of digital tools that streamline complex calculations for the Casing Design analysis and foster collaborative workflows, exemplified by TCO's successful implementation of the new process.
WITHDRAWN: The Relationship of Depression, Anxiety, Stress and Post-Traumatic Stress Disorder with Professional Quality of Life Among Healthcare Workers During the COVID-19 Pandemic in Turkey
Authors: GÖRGÜN Ceren TÜRKDOĞAN , ALDOĞAN Ece UĞURLUOĞLU 
Published: November 2024

Abstract

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Drivers of the 2023 record shattering marine heat extreme in the North Atlantic
Authors: Guinaldo Thibault , Cassou Christophe , Sallée Jean-Baptiste , Liné Aurélien 
Published: November 2024

Abstract

The year 2023 shattered numerous heat records globally and regionally. We here focus on the origins of the unprecedented and persistent warm sea surface temperature (SST) anomalies in the North Atlantic Ocean. Using a combination of multiple observational datasets and climate model large ensemble outputs, we show that the 2023 North Atlantic SST event is a manifestation of anthropogenically-forced warming, exacerbated by an extreme phase of internal climate variability and associated regional surface flux anomalies. The long-term stratification increase due to anthropogenically-driven ocean warming amplified the impacts of internal variability. At current global warming level, the 2023 event is assessed as a decadal-type occurrence for SST anomalies averaged across the entire North Atlantic basin, but it is estimated as a centennial-type event for the subtropics and the eastern basin. The distinctive horseshoe-shaped regional distribution of these anomalies is crucial to consider for correct communication and risk assessment in a warming climate.
Development of an intelligent metal forming robot and application to multi-stage Cold Forging
Authors: Tchasse Papdo , Deliktas Tahsin , Liewald Mathias 
Published: November 2024

Abstract

Metal forming processes often undergo different instability phases due to different factors like tool and part temperature variations, tool vibrations or frictional interactions between workpiece and tool. In the absence of an experienced process operator, these instabilities can induce a very considerable production loss. This study addresses this issue and proposes a method to develop a data-based virtual process operator equipped with the appropriate hardware and physical components that allow it to constantly monitor and if necessary regulate the process. The resulting system is introduced as the intelligent metal forming robot. The objective of this self-learning system is first to stabilize the process and ensure a certain part quality despite the noises, dynamical disturbances and user-defined changes of the part quality requirements, then, to control the process even in states that have not yet been experienced and at last to improve the control precision based on the updated process experience. This intelligent metal forming robot has been implemented and applied on a two-stage cold forging process, where the target quality feature was the part head height of a screw-like part. The results showed that, based on a qualitative process experience and on effective actuators, an intelligent self-learning system can significantly increase the robustness of a metal forming process.
Impact of the obesity paradox on 28-day mortality in elderly patients critically ill with cardiogenic shock: a retrospective cohort study
Authors: Tian Jing , Jin Ke , Qian Haohao , Xu Hongyang 
Published: November 2024

Abstract

Background
Previous studies have shown that the obesity paradox exists in cardiovascular disease (CVD), giving patients a survival advantage, but controversy remains as to whether it applies to patients with cardiogenic shock (CS), especially in the elderly. We therefore aimed to determine whether obesity affects 28-day prognosis in elderly patients with CS.
Methods
We used clinical data from the Medical Information Market in Critical Care IV (MIMIC-IV) database. Critical patients with CS were categorized into two groups based on age; age < 65 and ≥ 65 years were classified as young adult patients and elderly patients, respectively. Patients were then categorized into two subgroups based on their body mass index (BMI), one with a BMI ≥ 30 kg/m² and the other with a BMI < 30 kg/m². The primary outcome was a 28-day prognosis.
Results
1827 patients from the MIMIC-IV ICU database were analyze. According to multifactorial logistic analysis, BMI > 30 kg/m2 was not a 28-day risk factor for death in elderly patients critically ill with CS (Overweight OR 1.18, P = 0.271; Obesity OR 1.05, P = 0.770; Severe obesity OR 1.06, P = 0.839; using normal weight as a reference). In contrast, underweight was a risk factor (OR 2.02, P = 0.033). Kaplan-Meier curves showed that in the older age group, 28-day survival was significantly higher in patients with BMI ≥ 30 compared to those with BMI < 30 [ 261 (66.75%) vs. 522 (60.35%), P = 0.024].
Conclusion
The obesity paradox does not seem to apply to patients with CS, whether young or elderly, but rather underweight can have an impact on the 28-day prognosis of elderly patients who are critically ill with CS.