bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving Quality of Care for Neonatal Hyperbilirubinemia Admissions After Birth Hospitalization
Authors: Owerko Danielle , Ryan Kelsey , Bauer Sarah Corey , Vepraskas Sarah H , Preloger Erin , Nelson Anika 
Published: January 2025

BACKGROUND AND OBJECTIVES
Infants with neonatal hyperbilirubinemia (NH) often require admission after their birth hospitalization for treatment with phototherapy. Our aim was to align local practice with updated national guidelines to promote efficiency and decrease length of stay (LOS) for this patient population by ∼ 10% over a 15-month period using quality improvement methodology.

METHODS
Our improvement initiative included infants younger than age 14 days born at more than 35 weeks’ gestation admitted to the hospital medicine service with an NH diagnosis. Baseline data were collected from November 2021 to December 2022. A current state analysis highlighted targets for interventions. Interventions included aligning the local practice pathway with 2022 American Academy of Pediatrics guidelines for NH, adding additional phototherapy lights, and leveraging the electronic health record to improve inter-provider communication over 3 Plan-Do-Study-Act (PDSA) cycles between January 2023 and March 2024. Statistical process control was used for analysis.

RESULTS
There were 130 patients included during the 15-month intervention period. After 3 PDSA cycles, there was no special cause variation in the primary outcome measure, LOS. There was special cause variation in the primary process measure, total serum bilirubin at discharge. Readmissions for phototherapy, tracked as a balancing measure, did not change during the study period.

CONCLUSIONS
Successive interventions aimed at optimizing efficiency during NH admissions did not result in decreased LOS. It can be challenging to use LOS as an outcome measure given the influence of various systemic factors that may not be controlled or reasonably changed.
Теоретичні засади та моделі європейської інтеграції
Authors: Борисова Ольга , Руднік Денис 
Published: January 2025

Актуальність. Шлях України до Європейського Союзу потребує попереднього вивчення провідних «шкіл» європейської інтеграції для розуміння ставлення провідних країн ЄС шансів країн-кандидатів з Центрально-Східної Європи на повноцінне та всеосяжне входження.
Метою дослідження є визначення провідних моделей європейської інтеграції, розроблених теоретиками та практиками державного управління Великобританії, Франції та Німеччини у другій половині ХХ ст.
Результати. У статті на основі аналізу праць німецького політолога, професора Вольфганга Теодора Вессельса та іншої наукової літератури розкриваються теоретичні та методологічні засади осмислення і дослідження євроінтеграційних процесів. Досліджуються варіанти («школи») євроінтеграції, аналізуються моделі розвитку Європейського Союзу. У статті наголошується, що на відміну від попередніх часів, коли теорія європейської інтеграції випереджала практику, сьогодні практика випереджує теорію. А відповідно, настав час нових теорій і моделей. У центрі уваги моделей розширення та поглиблення Європейського Союзу продовжують залишатися країни-кандидати з Центрально-Східної Європи.
Висновки. У процесі розширення Європейського Союзу було напрацьовано кілька моделей його співіснування. Німеччина намагається сформувати модель «Європи ядра» з явними федералістськими тенденціями зі звуженням кола учасників. У такій моделі провідними мали б стати Німеччина та Франція. Французька модель «концентричних кіл» розрізняє країни за ступенем співробітництва в окремих сферах політики. Британська модель «гнучкої Європи» втратила свою актуальність після виходу Великобританії з ЄС.
Effects of anti-epidemic (quarantine) measures on people during the COVID-19 pandemic: applying social network analysis to identify the key topics
Authors: Pleshkova E. K. , Rezanova Z. I. 
Published: January 2025

The aim of this study was to examine the public reaction to the implementation of quarantine measures through a personality-oriented discourse.Materials and methods. Text data were collected from a microblogging platform, resulting in a dataset of 86,750 texts related to the topics of “pandemic” and “quarantine measures”. The lexical conceptualization of the pandemic and quarantine measures represented in the texts was analyzed through the lens of a personality-oriented discourse. Text lemmatization was conducted using the “snowball” library. A data feature matrix was then created based on the lemmatized tokens, which included 53 tokens with a frequency of use exceeding 1,300 times. The Social Network Analysis (SNA) method was used to create a keyword co-occurrence network consisting of undirected graphs. This analysis was performed using the free software R version 4.4.1, with the assistance of the Quanteda library, built-in “base” packages, and the gsub function.Results. The resulting network consisted of 53 key lexemes, which actors used to respond to quarantine measures in the personality-oriented discourse. The central node of the network was “coronavirus”, which was used 79,838 times between March 1 and April 30, 2020. The nearest nodes were “test” (used 4,663 times) and “Russia” (used 5,848 times). This network had high centrality, indicating that despite strict restrictive measures, the focus of the general public was on the pandemic itself and its impact on society rather than on the restrictions imposed.Conclusion. The implementation of these anti-epidemic measures has created a unique sociolinguistic world view, reflecting the interaction between society and the outside world in a time of uncertainty and health risks, affecting the analysis of information and the behavioral strategies chosen by society.
Studying molecular interactions of synthetic glucocorticoids with TRPM8 by molecular docking
Authors: Timkin P. D. , Kotelnikov D. D. , Timofeev E. A. , Naumov D. E. , Borodin E. A. 
Published: January 2025

Aim. To carry out in silico screening of interactions of synthetic glucocorticoids with TRPM8.Materials and methods. Information on the structure of the ligands was obtained from the PubChem chemical database in sdf format. The TRPM8 protein model was downloaded from the AlphaFold Protein Structure Database (AlpahaFold ID: AF-Q7Z2QW). Prediction of molecular cavities and coordinates of their centers was carried out on the PrankWeb web server. Modeling of molecular interactions was carried out using AutoDock (generation of 100 epochs) and MOE (generation of 300 poses) software.Results. The study revealed that the ligands formed stable complexes with TRPM8, but all of them, except for beclomethasone dipropionate, did not interact with the Tyr745 amino acid residue (the key binding site for channel activation). Thus, it can be assumed that glucocorticoids are most likely inhibitors of this ion channel. Of all glucocorticoids, special attention was paid to prednisolone, flunisolide, and budesonide, since the results of molecular docking of these molecules using AutoDock and MOE showed comparable data.Conclusion. The results obtained provide an insight into the therapeutic potential of these drugs in terms of their use in the treatment of cold-induced airway hyperresponsiveness and also expand the potential for their personalized use in the treatment of bronchial asthma and COPD.
Effects of forced treadmill exercise on lipid and carbohydrate metabolism parameters in a mouse model of type 2 diabetes mellitus
Authors: Milovanova K. G. , Zakharova A. N. , Orlova A. A. , Kollantay O. V. , Shuvalov I. Yu. , Popov S. A. , Medvedev M. A. , Kovalev I. V. , Yakimovich I. Yu. , Chibalin A. V. , Kapilevich L. V. 
Published: January 2025

Aim. To study the effect of forced treadmill exercise on lipid and carbohydrate metabolism parameters in liver and skeletal muscle tissues of mice with a model of type 2 diabetes mellitus, taking into account age and biological rhythm characteristics.Materials and methods. To create a model of type 2 diabetes mellitus (T2DM), a high-fat diet was used. Physical activity in the form of forced treadmill exercise was carried out for 4 weeks. Parameters of lipid and carbohydrate metabolism in muscle and liver tissues were determined by Western blotting.Results. A decrease in glycogen content in the muscles in T2DM was associated with activation of its breakdown rather than with its reduced synthesis. Significant and multidirectional changes were recorded in the content of glycogen phosphorylase in the liver and skeletal muscle tissues. These changes were significantly influenced by both the nature of diet and physical activity. The development of T2DM in mice was accompanied by a decrease in high-density lipoprotein (HDL) content in the liver along with an increase in low-density lipoprotein (LDL) and very-low-density lipoprotein (VLDL) levels. It is worth noting that physical activity provided partial normalization of the ratio of lipid fractions, despite the fact that the exercises were performed in the context of a high-fat diet. In the T2DM group, metabolic changes caused by both T2DM modeling and physical exercises were not only quantitative, but in some cases also qualitative. The effects of physical exercises performed at different times of the day on metabolic processes in the liver and muscle tissues varied significantly.Conclusion. Physical activity can help prevent not only metabolic disorders (obesity and insulin resistance), but also associated complications on the part of the liver and cardiovascular system.
NETs production and citrullinated histone H3 level in children with tuberculosis
Authors: Novikov D. G. , Zolotov A. N. , Indutny A. V. , Mordyk A. V. , Kirichenko N. A. , Romanova M. A. , Ptukhin A. O. 
Published: January 2025

Aim. To characterize parameters of neutrophil extracellular trap (NET) production in the leukocyte culture and citrullinated histone H3 (citH3) level in peripheral blood to assess the features of NETosis in children with tuberculosis.Materials and methods. The study included 20 children with active pulmonary tuberculosis (TB group) and 20 clinically healthy children without signs of sensitization to Mycobacterium tuberculosis antigens (control group). The ability of neutrophils to form NETs under ex vivo exposure to a non-specific immune stimulant and the concentration of citH3 in peripheral blood were investigated.Results. Neutrophils in children with tuberculosis formed filamentous NETs (Me = 21.0 and Me = 16.0, respectively; p = 0.0474) and cloud-like NETs (Me = 10.5 and Me = 4.0, respectively; p = 0.0068) more frequently than the controls. Filamentous NETs prevailed in both groups. However, cloud-like NETs were registered in all patients in the TB group (100%) and only in 15 of 20 children in the control group (χ2 = 16.01; p < 0.0068). The concentration of citH3 in the blood was 18.9 times higher in the TB group than in the control group (Me = 26.5 and Me = 1.4, respectively; p = 0.0041). A strong positive correlation was found between the citH3 concentration and the generation of filamentous (r = 0.86; p = 0.0137), but not cloud-like NETs (r = 0.95; p = 0.0008) in both groups.Conclusion. The high level of citH3 in the TB group can reflect its NETosis-induced release and be caused by increased NETosis in vivo. This may be due to the previously formed potential of neutrophils to generate NETs (a proNETotic phenotype), which is consistent with our observation of an increased ability of isolated neutrophils to form extracellular traps ex vivo in children of the TB group.
Social Media Influencer as Marketing Communication of “FORTIVIT” Rice from Perum BULOG
Authors: Febriani Teradijah , Rahmanto Andre N , Naini Albert Muhammad Isrun 
Published: January 2025

In the era of globalization, digital technology continues to develop. It can be seen by the increasing number of internet and social media users. The development of digital technology also causes changes in consumer behavior, thus requiring companies to be more adaptive to changes and establish their communication strategies. The development of social media as a digital communication tool continues to grow and becomes one of the opportunities as well as challenges for companies to improve their performance. The selection of the right digital media needs special attention, one of which is a digital influencer or Social Media Influencer (SMI). The role of Social Media Influencers (SMI) is increasingly important to shape consumer attitudes and corporate image. This study uses qualitative methods through observation and interviews with informants who meet certain requirements. Perum BULOG, one of the State-Owned Enterprises (BUMN) which is an important sector in the food industry, is the focus of the study. The results of the study indicate that Perum BULOG's marketing communication strategy in selecting Social Media Influencers is based on the credibility of influencers who influence the delivery of messages.<strong><em> </em></strong>
Near-Real-Time Detection of Frac Hits Using Machine Learning
Authors: Spivey B. J. , Karantinos E. , Kaus J. E. , Adair N. L. , Abernathy B. J. , Brito R. M. 
Published: January 2025

Abstract
Frac hits from child wells often reduce parent well oil and gas production. This reduced production may motivate mitigation actions to restore original parent well production rates, thereby minimizing deferred or lost volumes. For unconventional production engineers managing tens or hundreds of wells, manually detecting frac hits and mitigating production losses in the early stages is challenging. This work presents an automated near-real-time frac hit detection system for parent wells, providing engineers with early knowledge of frac hits and analysis to identify profitable production recovery mitigations.
The frac hit detection system resides in the cloud and runs a time-series machine learning (ML) model and knowledge-based expert system daily to detect frac hits on gas lift wells using well measurement data. The ML model relies on downhole and surface well measurements to detect significant pressure and temperature changes while rejecting well shut-in events and other operational changes. The expert system verifies that parent well frac hits detected by the ML model correspond in time with active hydraulic fracturing from nearby child wells. The expert system queries well GIS databases and fracturing treatment databases to confirm the presence of child well hydraulic fracturing.
The frac hit detection system creates a frac hit event summary and calculates daily frac hit deferred volumes. The frac hit event summary includes details on the detected frac hit well, frac hit start time, delta downhole pressure (DHP) and delta downhole temperature (DHT) induced by frac hit, artificial lift method during the frac hit, well age, parent well formation, and parent-child distance. The event summary and daily frac hit deferred volumes are deployed using a cloud-based visualization platform, enabling production engineers to analyze the benefit of frac hit mitigation on parent wells. A case study on two well pads in Midland Basin demonstrates that the frac hit detection system has a high rate of true positives. This work finally highlights the impact of formation on recovery time and deferred volumes in Midland Basin based on frac hit event summary data from dozens of wells.
Flowback Analysis for Propped-Fracture Evaluation in Low-Permeability Reservoirs
Authors: Silva-Escalante C. F. , Martinez-Perez B. R. 
Published: January 2025

Abstract
In this work is presented a flowing-fracture properties characterization through the analysis of the production data in the Flowback period with a model based on fracture properties for history matching over the modified Fetkovich and Wattenbarger type-curves and for straight-line analysis after the flow regime identification by the use of specialized diagnostic plot for two field cases: a mono-stage fracturing vertical well from tight sands representative of Burgos Basin, and a multi-stage fracturing horizontal well from shale representative of Vaca Muerta formation. Due to the high pressure and rate variation, the geometry and conductivity of flowing-fracture properties are obtained by data matching for both constant rate/bottom-hole pressure. A comparison of these flowing-fracture properties with the expected values from fracture design and effective-fracture properties (from PTA or for early oil production) to evaluate the effectiveness of fracturing operation is made.
The results in this work show a diminished properties of flowing-fracture media for both field cases compared to the expected values from fracture design, but their values are higher than the effective-fracture properties determined from PTA and for early oil production for respectively cases. Evaluation process with the straight-line analysis (based on proposed fracture-based flow model) reaches a high precision of results for both wells in this study. The results aid to identify the effectiveness of the expected results from fracture operation and to identify the water blockage affectation on the fracture geometry and conductivity from the generated fracture once the flowback period is ended.
Gathering Useful Data from Crush Testing: Estimation of Proppant Permeability Using a Modified Kozeny-Carman Equation
Authors: Drebon Bryan , Duenckel R. J. , Sutter Kimberly 
Published: January 2025

Abstract
The objective of this work is to estimate proppant pack permeability from crush data utilizing a revised Kozeny-Carman equation. The proposed theoretical model, developed from experimental data, seeks to provide a reliable method for evaluating and selecting proppants.
Permeability data from various samples was analyzed focusing on porosity, particle diameter, and sphericity of the grains. The data was fitted to the Kozeny-Carman equation, relating pressure drop for laminar flow through a packed bed, by determining a new empirical Kozeny constant, c. Crush tests were conducted focusing on the porosity and the median particle diameter of the pack rather than the percentage of fines generated at the given stress levels. By employing the revised Kozeny-Carman model, the crush data gathered can be used to develop a predictive model for the permeability of a proppant pack at closure stress.
A revised Kozeny constant, c, was derived empirically and determined to be significantly lower than that found in in the Kozeny-Carman equation of 180. It was observed that stress distribution within the proppant pack is dependent on the pack width, with different crush behavior noted for a 2lb/ft2 and 4lb/ft2 loadings. More specifically, the 4lb/ft2 loading would require more stress to see the median particle diameter reduction observed in the conductivity testing. During the crush testing, porosity reduction reached the desired value for application of the modified Kozeny-Carman equation within one hour. The revised Kozeny-Carman model was successfully utilized to predict permeability from the crush procedure, when compared to pack permeability at 50 hours from an API 19D conductivity test. Estimates of grain sphericity and grain shape are necessary to calculate permeability accurately for the modified Kozeny-Carman equation. These findings underscore the model’s effectiveness in predicting permeability under the specified conditions.
This novel approach to crush testing offers practicing engineers a useful method to estimating proppant pack permeability. Current crush methods recently introduced to the industry fail to provide useful data that an engineer can use reliably for proppant selection.
Improving the Connectivity Between Injection and Production Wells in Enhanced Geothermal Systems Using Fiber Optic Data
Authors: Jurick Dana , Reynolds Alan , Sharma Mukul M. 
Published: January 2025

Abstract
Enhanced geothermal systems must have excellent connectivity between injection and production wells to effectively circulate and heat fluids for efficient energy recovery. This study demonstrates the use of fiber optic data to improve injection-production well connectivity in the field.
We cemented a high temperature optical fiber bundle in the production well at the Forge enhanced geothermal site. Stimulation treatments from the injection well (16A) were monitored at the production well (16B) and DTS and Rayleigh Frequency Shift Distributed Strain Sensing data were collected. This data was analyzed to determine the locations of the Fracture Driven Interactions ("frac hits") at the cased (but sealed) production well (16B). The location and design of perforation clusters in the production well were specified based on this analysis. Perforating and fracturing the production well using this strategy resulted in fractures that connected well with the fractures from the injection well as tested by a post hydraulic fracturing, cross well circulation tests.
Strain change and strain change rate data is presented, clearly showing the location of fractures propagating from the injection well to the production well. The fracture geometry was expected to be potentially complex due to natural fractures and fracture turning caused by stress shadow effects. The fiber optic strain data allowed us to identify, in real time, the most likely location of these fractures in the vicinity of the production well. This in turn allowed us to select not only locations of perforation clusters in the production well, but also adjustment of individual cluster spacing that would initiate fractures most likely to intersect the injection well fractures. These engineered completion designs (used in the production well) differ substantially (in perforation location and design) from the geometric completions used in the injection well. Fluid circulation tests run after both wells were stimulated confirmed good inter-well connectivity. This level of success could not have been achieved without the use of the fiber optic strain data used to design the completions in the production well.
We have developed and demonstrated in the field a reliable method to ensure good connectivity between fractures initiated at injection and production wells in enhanced geothermal systems. This connectivity is essential to the success of EGS, and these results demonstrate a breakthrough in EGS design processes and procedures.