bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of changes in minerals like calcium, phosphorus and parathormone levels in ESRD patients on haemodialysis: A case control study
Authors: Natikar Jyothi A , Mohanty Shrabani 
Published: March 2022

Chronic kidney disease (CKD) is an international public health problem affecting about 5–10% of the population. KDOQI guidelines highlight the importance of measuring the parathyroid hormone levels annually once diagnosed with CKD. If the levels are maintained within the target range, then the various complications can be prevented by adequate treatment. 1. To measure the levels of Calcium, Phosphorus, Alkaline phosphatase and parathyroid hormone levels in patients with stage 4 kidney disease. 2. To compare these biochemical parameters with healthy controls. 50 CKD patients visiting dialysis unit were included in the study. Patients with congenital renal disorders were excluded. A written informed consent was taken from all patients. The personal details of patients were documented. Clinical history, personal & family history was taken in detail from each patient. 50 Healthy individuals were included as controls in the study. Statistically significant increase in levels of Calcium, Phosphorus, Alkaline phosphatase, Uric acid and parathyroid hormones were seen in CKD patients as compared to controls. The levels of parathormone, calcium & phosphorus are used as surrogate markers of disease progression. Alteration in minerals like calcium and Phosphorus occurs early in the course of disease and are responsible for various cardiovascular manifestations and bone osteodystrophy. The ultimate goals of treating secondary hyperparathyroidism are to normalize mineral metabolism, prevent bone disease and prevent extra skeletal manifestations of the altered biochemical processes.
A study on dietary habits of women faculty and impact of nutrition education
Authors: Krishna K U Pavitra , Dhas E Siva 
Published: March 2022

Malnutrition due to poor feeding habits, is still a serious public health issue especially among women. So, awareness about importance of balance diet for a healthy living is needed for them. The objective of this study was to assess the dietary patterns of 50 women faculty in Arul Anandar College, Madurai and provide nutrition education and to assess the impact of nutrition education. In this regard the dietary pattern of women faculty were assessed and awareness about healthy diet and stress free life using various modes were imparted and the impact was assessed using KAP. Dietary pattern assessment revealed that, most study participants were non vegetarians and consumed three meals a day, pressure cooking was the predominant method adopted for cooking cereals and pulses. Inadequate intakes of pulses, green leafy vegetables, other vegetables, fruits, milk and milk products were observed. Frequent intake of carbohydrate rich foods, fats and oils but an infrequent intake of protein rich foods and vitamin and minerals rich foods in a week. Malnutrition were linked to low intakes of pulses and beans; milk and dairy products; vegetables and fruits food groups. After nutrition education, the scores for knowledge and attitude have increased than scores for practice. Women of the study population had an unhealthy dietary pattern. So, nutrition education were provided and the impact was assessed using KAP scores and after the education KAP scores have increased than before.
Video Features, Engagement, and Patterns of Collective Attention Allocation
Authors: Zhang Jingjing , Huang Yicheng , Gao Ming 
Published: March 2022

Network analytics has the potential to examine new behaviour patterns that are often hidden by the complexity of online interactions. One of the varied network analytics approaches and methods, the model of collective attention, takes an ecological system perspective to exploring the dynamic process of participation patterns in online and flexible learning environments. This study selected “Fundamentals of C++ programming (Spring 2019)” on XuetangX as an example through which to observe the allocation patterns of attention within MOOC videos, as well as how video features and engagement correlate with the accumulation, circulation, and dissipation pattern of collective attention. The results showed that the types of instructions in videos predicted attention allocation patterns, but they did not predict the engagement of video watching. Instead, the length and whether the full screen was used in the videos had a strong impact on engagement. Learners were more likely to reach a high level of engagement in video watching when their attention had been circulated around the videos. The results imply that understanding the patterns and dynamics of attention flow and how learners engage with videos will allow us to design cost-effective learning resources to prevent learners from becoming overloaded.
Atando los nodos sueltos: blockchain para la reducción de corrupción en las licitaciones públicas de Proinversión
Authors: Masumura Ynami Dana Lorena , Acosta Chia Valeria Alejandra 
Published: March 2022

Las asociaciones público-privadas en Perú han sido creadas con la intención de fijar un punto medio entre las privatizaciones y el control absoluto del Estado en asuntos de interés público. El ejemplo más característico de ello son las concesiones. A pesar de los beneficios que ello conlleva, se ponen en manifiesto altos índices de corrupción dentro de los procedimientos de concesiones, lo cual reduce la credibilidad en las asociaciones público-privadas. Frente a esta problemática, surge la alternativa del aprovisionamiento electrónico (e-procurement), que implica el uso de tecnologías para procurar la transparencia y eficiencia de licitaciones públicas. Dentro de ello, el blockchain funciona como un instrumento aplicable a los procedimientos de concesiones.En el presente artículo, las autoras analizan de qué manera la corrupción se muestra como un problema latente en las concesiones, para luego pasar a responder por qué el blockchain es una alternativa para luchar contra ello. Posteriormente, estudian de qué manera sería posible aplicar ello en los procedimientos de concesiones a cargo de ProInversión. Finalmente, identifican los retos que conllevaría y analizan si el uso de la herramienta propuesta resulta efectivo.
Plataformas digitales y riesgos de conglomerado: desafíos para las autoridades de competencia en Iberoamérica en el análisis de operaciones de concentración
Authors: Von Chrismar Medina Andrea , Grebe Lira Benjamín 
Published: March 2022

El presente artículo explora el tema de las operaciones de concentración, específicamente, en plataformas digitales. Así, analiza los posibles riesgos de estas y los retos que deben afrontar las agencias de competencia al analizarlas. De esta manera, los autores destacan variadas características de este mercado como su dinamismo e impredictibilidad –las cuales permiten que el mismo se adapte al aumento de demanda– y el importante papel de los datos de los usuarios en las concentraciones.Para cumplir con su objetivo, el artículo empieza con un recorrido teórico mediante la definición de conceptos clave para el entendimiento de las operaciones de concentración en plataformas digitales. No obstante, también se hace un análisis práctico al exponer cómo se han venido dando este tipo de concentraciones en la realidad, a través de casos recientes de gran relevancia.
Debates emergentes en materia laboral y de privacidad: sistemas de videovigilancia, algoritmos digitales e identificación biométrica de la persona trabajadora
Authors: Aragüez Valenzuela Lucía 
Published: March 2022

Las tecnologías de la información y de la comunicación han revolucionado el mundo del trabajo reforzando, entre otros aspectos, el poder de vigilancia empresarial. Esto ha afectado a los derechos más básicos de los trabajadores, entre ellos, a su privacidad, de una forma ciertamente invasiva. Más aún, este control empresarial a través de las herramientas tecnológicas a veces no resulta ser del todo transparente u honesto, sino que puede llegar a invadir en la esfera privada de la persona trabajadora de forma inadvertida, creando incluso situaciones de discriminación.En este artículo, la autora reflexiona acerca de estos extremos que, a su vez, son objeto de ciertas controversias a nivel doctrinal y jurisprudencial, tratando de aportar una perspectiva crítica en favor de una mayor protección hacia la persona trabajadora y un fortalecimiento de la normativa laboral existente.
Negotiating Writing Identities Across Languages: Translanguaging as Enrichment of Semiotic Trajectories
Authors: Kalan Amir 
Published: March 2022

Drawing on findings from an ethnographic study of the writing practices of three plurilingual writers in Toronto, Canada, this article focuses on the translingual practices that these writers engaged with and discusses how these practices enriched their writing processes and products both in English and in their mother tongues. The author explains how these writers’ translanguaging was a complex process with five dimensions: (1) lexical, (2) syntactic, (3) rhetorical, (4) conceptual, and (5) presentational (how to present, share, and disseminate text). The article highlights how translanguaging contributed to the participants’ larger semiotic engagements. Moving beyond the formulations of semiotic agility as a technical skill, the author explains how translanguaging helped the writers maintain their writing identities by creating semiotic and semantic continuity in their writing trajectories.
S’inspirant des résultats d’une étude ethnographique sur les pratiques de rédaction de trois écrivains plurilingues de Toronto au Canada, cet article se concentre sur les pratiques trans-langagières que ces écrivains utilisent et discute de la façon dont ces pratiques ont enrichi leur processus et leurs produits d’écriture à la fois en anglais et dans leur langue maternelle. L'auteur explique comment le translanguaging de ces écrivains était un processus complexe en cinq dimensions : (1) lexical, (2) syntaxique, (3) rhétorique, (4) conceptuel et (5) présentationnel (comment présenter, partager et disséminer le texte). L’article souligne comment le translanguaging a contribué aux engagements sémiotiques plus larges des participants. En se déplaçant au-delà des formulations d’agilité sémiotique comme compétence technique, l’auteur explique comment le translanguaging a permis aux écrivains de maintenir leur identité rédactionnelle en créant une continuité sémiotique et sémantique dans leurs trajectoires rédactionnelles.
Elective Inpatient Total Joint Arthroplasty Case Volume in the United States in 2020
Authors: Heckmann Nathanael D. , Bouz Gabriel J. , Piple Amit S. , Chung Brian C. , Wang Jennifer C. , Mayfield Cory K. , Stambough Jeffrey B. , Oakes Daniel A. , Christ Alexander B. , Lieberman Jay R. 
Published: March 2022

Background:
Despite known surgical volume reductions in 2020 during the height of the COVID-19 pandemic, no study has fully quantified the impact of the pandemic on the number of elective inpatient total hip (THA) and total knee arthroplasty (TKA) cases. The purpose of the present study was to analyze THA and TKA case volumes in the United States during the COVID-19 pandemic.

Methods:
The Premier Healthcare Database was utilized to identify adults undergoing primary elective THA or TKA from January 2017 to December 2020. The National Inpatient Sample was cross-referenced to provide nationwide representative sampling weights. Patients undergoing revision total joint arthroplasty (TJA) or non-elective surgery were excluded. Two quantitative models were created from both databases to estimate TJA case volume in 2020. Descriptive statistics were utilized to report monthly changes in elective TJA utilization throughout 2020. Univariate analyses were performed to compare differences between subgroups.

Results:
From 2017 to 2019, it was estimated that 1,006,000 elective inpatient TJAs (64.2% TKA and 35.8% THA) were performed annually. In 2020, an estimated 526,000 to 538,000 cases (62.0% TKA and 38.0% THA) were performed, representing a 46.5% to 47.7% decrease in nationwide volume from the prior 3-year average. Moreover, the elective TJA case volume for April 2020 was 1.9% of the average for that month from 2017 through 2019. Subsequently, case volumes for May and June increased compared with the volumes for those months from 2017 through 2019. There was then a decrease in cases for July, corresponding with the “second wave” of COVID-19, followed by an additional steady monthly decline through December, corresponding with the “third wave.” Finally, the elective TJA cases for December 2020 represented only 41.0% of the average case volume for that month from 2017 through 2019.

Conclusions:
In the midst of the 2020 COVID-19 pandemic, approximately 526,000 to 538,000 elective inpatient TJA cases were performed, representing a 46.5% to 47.7% decrease compared with the 3 previous years. The effects of the COVID-19 pandemic persisted through the end of that year, with decreased case volume through December 2020.
Seismic Drill-Bit Tracking for Improved Well Positioning
Authors: Houbiers Marianne , Bussat Sascha , Schopper Florian , Hansteen Fredrik 
Published: March 2022

Summary
The lateral well position uncertainty of magnetic/gyro measurement-while-drilling (MWD) measurements can often exceed the requirements regarding anticollision, for optimal placement of infill wells between existing producers, or for hitting targets with limited geological extent. The positional uncertainty can be significantly reduced by implementing high-precision drill-bit localization using passive seismic data. Consequently, not only drilling risks can be reduced, but optimal reservoir drainage is ensured as well.
By using passive seismic recordings from the seafloor, we can “listen” to the noise generated by the bottomhole assembly (BHA) while drilling. Despite various noise sources in the vicinity (e.g., vessels and rigs), advanced data processing and the combination of hundreds of seafloor receivers spread above the ongoing drilling enable us to detect the drilling signal and locate the drill bit. Whereas the magnetic and gyro MWD tools have errors that accumulate with measured depth (MD), each bit position derived from seismic (usually every 90 seconds) is completely independent. For horizontal sections, the error does not increase with MD and hence can provide improved lateral accuracy. No additional BHA tool is required, and the measurements are neither dependent on the magnetic nor gravitational field. Moreover, the passive seismic measurements can be used to obtain an improved lateral well position estimate. This is done by optimizing the azimuth information of the well trajectory in the minimum curvature method. A lateral uncertainty measure can be derived from the residuals between the passive measurements and the updated well path. Since 2018, we have used the continuous stream of passive data from permanent seafloor sensors at the Grane Field, with its reservoir depth of around 1800 m true vertical depth subsea (TVDSS) to follow all wells with this drill-bit tracking scheme. Lateral deviations from the official well path based on magnetic/gyro measurements are mostly within ±30 m. The lateral position uncertainty can be as low as a couple of meters under optimal conditions.
Steam Additives to Reduce the Steam-Oil Ratio in SAGD: Experimental Analysis, Pilot Design, and Field Application
Authors: Nejadi Siavash , Ortiz Julian , Sanchez Javier , Yang Xiaomeng , Kalaei Hosein , Abbas Sayeed 
Published: March 2022

Abstract
Producing bitumen using SAGD requires a significant amount of water and energy, resulting in a large amount of greenhouse gas emissions. Therefore, reducing the steam-oil ratio (SOR) in SAGD is critical to make the oil recovery process profitable and sustainable in a carbon-constrained world.
This paper presents the potential benefits of co-injecting water-soluble volatile additives with steam in SAGD. The objective of the process is to decrease the SOR while maintaining SAGD-like oil production rates at economical chemical additives concentrations.
Through a comprehensive experimental study, multiphase behaviour of the additive-water-bitumen system, mixture's viscosity, additive thermal stability, adsorption, emulsion stability, and recovery performance were evaluated. Extensive coreflooding experimental tests quantified the potential for improved oil recovery and SOR reduction. The experimental variables included additive concentration, water-oil ratio, and temperature. The studies showed that the additives improved oil recovery by promoting the formation of oil-in-water emulsions at the producing SOR.
A series of reservoir simulation studies were also conducted for a field pilot design and evaluation of key performance indicators. Two different methodologies, equilibrium and non-equilibrium, were used to model the steam additive behaviour under both transient and steady-state conditions. Data obtained from coreflooding and viscosity measurements were the primary inputs of the reservoir simulation models. The fine-tuned reservoir simulation model quantified the technology uncertainties using multiple equally probable realizations of the reservoir to design and optimize the field pilot's injection scenarios and operating conditions.
The simulation results showed SOR reduction of up to 25% with steam additives co-injection for the designed concentrations. Different phenomena such as additive transportation, condensation, additive degradation, and adsorption in a growing steam chamber were included in the numerical model. Based on the experimental and reservoir simulation results, a 4-well pair field pilot was designed, built, and put in operation at the Surmont SAGD project.
A New Method for Determination of Rock Fabric Number from Well Logs in Unconventional Tight Oil Carbonates
Authors: Azuara Diliegros Brenda , Aguilera Roberto 
Published: March 2022

Abstract
This paper develops a new method for estimation of rock fabric number (RFN) from well logs in unconventional tight oil carbonates with less than 0.1 md. The objective is to investigate the oil potential of a Middle Cretaceous tight carbonate in Mexico. Development of a method for these conditions is challenging as the current approach developed by Lucia (1983) has been explained for carbonates with more than 0.1md.
The method is calibrated with data from cores and cuttings and allows estimating the presence of grainstone, packstone and wackstone rocks in unconventional tight carbonates from well logs. A crossplot of RFN vs rp35 (pore throat radius at 35% cumulative pore volume) permits delimiting intervals with good production potential that is supported by well testing data. Information for analysis of the Mexican carbonate comes from well logs of 9 wells and 2 re-entry wells, four buildup tests and a limited amount of core and drill cuttings information. All data were provided by a petroleum company and have been used, for transparency, without any modifications.
An unconventional tight carbonate as defined in this paper has a permeability smaller than 0.1 md. The unconventional tight oil carbonate reservoir considered in this study includes 95 percent of data with permeabilities smaller than 0.1 md and only 5% with permeabilities larger than 0.1 md. The method introduced by Lucia (1983) and Jennings and Lucia (2003) for determining RFN is powerful, but they explained it only for permeabilities larger than 0.1 md. Thus, the need for a methodology that allows estimating from well logs the presence of grainstone, packstone and/or wackstone in unconventional tight carbonate reservoirs with permeabilities smaller than 0.1 md.
Results indicate that the RFN provides a useful approach for distinguishing grainstone, packstone and wackstone rocks in unconventional tight carbonate reservoirs. Furthermore, rock fabric can be linked with Pickett plots to provide an integrated quantitative evaluation of RFN, porosity, water saturation, permeability, pore throat radius, and capillary pressure. This integration indicates that there is good oil potential in the Middle Cretaceous unconventional tight carbonate in Mexico.
The novelty of this paper is the use of rock fabric (RFN) in unconventional tight carbonates with permeabilities smaller than 0.1 md for estimating the presence of grainstone, packstone and wackstone rocks from well logs. In addition, a crossplot of RFN vs rp35 provides a good indication of intervals with oil production potential.
Distributed Temperature Sensor Analytics: Estimating SAGD Depletion from Temperature Fall Off Data
Authors: Nguyen Anthony , Hematillake Dylan , Glover Robert , Diaz-Goano Carolina 
Published: March 2022

Abstract
This paper outlines an end-to-end case study from ideation through to the development and deployment of a novel method to estimate SAGD depletion along a producing SAGD horizontal well from temperature fall off (TFO) events, from any temperature measurement point along the well. The methodology combines reservoir engineering first principals, analytics, simulation modelling and digital product delivery components. The outputs of this work are expected to drive rapid, data-driven, and standardized approaches to subsurface optimization of SAGD well pairs through quantified estimation of remaining oil in place opportunities that could be economically exploited through operations, re-completions, re-drills and technology applications.
Estimating Leak-Off Characteristics Due to Hydraulic Fracture and Natural Fracture Interaction Utilizing XFEM-Based 3D Hydraulic Fracture Model
Authors: Leem Junghun , Musa Ikhwanul Hafizi , Tan Chee Phuat , Che Yusoff M Fakharuddin , Zain Zahidah Md , Kear James , Kasperczyk Dane , Chen Zuorong , Salimzadeh Saeed 
Published: March 2022

Abstract
Leak-off characteristics during hydraulic fracturing operation are difficult to determine but yet critical in developing conventional and unconventional reservoirs with natural fractures and other weak structural planes (e.g. micro-faults, weak beddings). When hydraulic fractures interact with natural fractures, they will either be arrested or transect the natural fractures depend on the leak-off characteristic of the natural fractures. The effective leak-off characteristic in a naturally fractured reservoir is an essential input for hydraulic fracturing simulation and consequent completion design as well as reservoir simulation (e.g., dual porosity and dual permeability) and consequent production optimization.
A novel method of estimating the effective leak-off characteristic in a naturally fractured reservoir is developed directly from hydraulic fracturing diagnostic tests such as minifrac and DFIT utilizing eXtended Finite Element Method (XFEM)-based 3D hydraulic fracturing model. Complex behaviors of hydraulic fractures interacting with natural fractures are simulated in the XFEM-based hydraulic fracturing model and history-matched with minifrac/DFIT data (i.e., treating pressure), in order to estimate effective leak-off characteristics of naturally fractured reservoirs.