bluuebunny/crossref_metadata_2025_split huggingface dataset:
PROPOLIS EXTRACT AS ANTI-CORROSIVE AGENT INHIBITS METAL IONIC RELEASE FROM ORTHODONTIC BRACKETS
Authors: Aditya Grahita , Wardhana Erdianto Setya , Hutami Islamy Rahma , Christiono Sandy , Pratiwi Rosa 
Published: April 2024

Background: A combination of nickel (Ni), chromium (Cr), and iron (Fe) can be found in the stainless steel orthodontic bracket. Ion release takes place as a result of the chemical interaction between metals and the oral environment, which leads to the potential of hypersensitivity during fixed orthodontic treatment. Propolis contains phytochemicals that have the ability to reduce corrosion, making it a potential treatment option. Purpose: to determine the release of Ni, Cr, and Fe in metal brackets in an 8.2% propolis solutionMethod: Four sets of six brackets were made from 24 brackets. Artificial saliva, sodium fluoride, sterilized distilled water (aquabidest), and 8.2% propolis were applied to these brackets. After incubating at 37°C for seven days, ICP EOS measured the metal ions Ni, Cr, and Fe. The analysis revealed significant differences (p<0.05) in ionic release of Ni, Cr, and Fe among groups exposed to sterilized distilled water (aquabidest) and an 8.2% propolis solution. Additionally, the Mann-Whitney test showed substantial Ni ion release differences (p<0.05) between 8.2% propolis solution and sterilized distilled water. The 8.2% propolis solution and sodium fluoride solution released Cr ions differently. Fe ion levels differed between propolis solution 8.2%, sodium fluoride solution, sterilized distilled water, and fake saliva. Conclusion: Propolis affects metal bracket ionic release of Ni, Cr, and Fe. Keywords : Cr and Fe, ions of Ni, propolis solution, Stainless steel bracket
PROSTHODONTIC TREATMENT IN THE ELDERLY, WHAT DENTISTS KNOW
Authors: Gabriella Gabriella , Hanin Isya 
Published: April 2024

Background: Tooth loss is most experienced by the elderly population. The number of elderly people is increasing in Indonesia in direct proportion to the increase in cases of tooth loss. Tooth loss can be treated with prosthodontic treatment performed by dentists, so dentists need to have sufficient knowledge and skills. Objectives: To get an overview of the knowledge of dentists who graduated from the Faculty of Dentistry, Trisakti University in 2017-2019 regarding prosthodontic treatment in the elderly. Methods: This study uses a descriptive observational method with a cross-sectional type. The measuring tool uses a questionnaire via google form containing 25 questions adopted from foreign journals with similar research that was tested for validity and reliability. After being tested, 21 valid and reliable questions were filled by 89 respondents. Data collection is carried out online and the data is presented in the form of a frequency distribution. Results: The highest average score (mean) obtained was 41, while the lowest average score (mean) obtained was 29. The average score (mean) that most respondents obtained was 39 with the average value (mean) of respondents 92.86%. Conclusion: The average score (mean) obtained is 37.12 with a maximum score of 42. The average value (mean) of respondents is 88.38%. Dentist's knowledge of prosthodontic treatment in the elderly is good. Keywords: Dentist, Elderly, Knowledge, Prosthodontics
EXPRESSION OF CALRETININ IN AMELOBLASTOMA AND ODONTOGENIC CYST IN A.W. SJAHRANIE GENERAL HOSPITAL SAMARINDA
Authors: Pramasari Cristiani Nadya , Irawiraman Hadi , Sawitri Endang , Muthi’ah Nisa , Sulistiani Dewi Arsih , Prinadira Sarah 
Published: April 2024

Background : Ameloblastoma and odontogenic cysts have similar clinical and radiographic features but different treatments. Diagnosis is established by histologic features, but sometimes this step have difficulty making appropriate assessment because epithelial cells can show various variations. Preoperative misdiagnosis may result in inefficient treatment. In such situations, immunohistochemistry (IHC) with the use of proper markers might be needed for the differentiation of these lesions. Purpose : This study aimed to assess calretinin expression in ameloblastoma and various odontogenic cysts so that calretinin can be used as a specific diagnostic marker for ameloblastoma. Method : This was a retrospective analytical study of immunohistochemical examination of calretinin expression in ameloblastoma and odontogenic cysts. A total of eighty cases, in which thirty four cases of ameloblastoma and forty six cases of odontogenic cysts were included in the study. Slides were made from the paraffin blocks of each case and were stained immunohistochemically with calretinin. Results : In ameloblastoma, almost all subjects expressed calretinin, i.e. 33 (97.1%), followed by radicular cyst 7 (46.7%), odontogenic cyst 2 (40.0%), then dentigerous cyst 6 (26.1%) and OKC 0 (0.0%). The results of the analysis of the Chi-Square test showed a significant difference with a p-value < 0.001. Conclusion : The study concluded that calretinin was mainly expressed in ameloblastoma, whereas majority of odontogenic cyst groups showed negative for calretinin in various percentages. Calretinin may be a specific immunohistochemical marker for ameloblastoma. Keywords : Ameloblastoma, Calretinin, Immunohistochemical, Odontogenic cyst, Odontogenic tumor
Antara Stigma dan Realitas Sosial: Status Janda Dalam Pandangan Masyarakat Desa
Authors: Salsabila Destya , Budhi Setia 
Published: April 2024

The negative stigma that circulates makes people still view widow status with a negative view, even the status is sometimes considered a disgrace. This study aims to describe the society's view of women who have widow status. The theory used in this research is labelling theory. The research approach used is descriptive qualitative, with the type of field research. Semi-structured interviews, participant observation, and content analysis were the data collection techniques used. The research was conducted in Jelapat I Village, Tamban sub-district, Barito Kuala Regency. The data analysis technique went through the stages of data reduction, data presentation and conclusion drawing. The results show that the majority of people in Jelapat I Village have a positive view of widows. The stigma and negative labels that are always attached to widows do not make the community necessarily view widows with a negative view. Widows are given the freedom to do anything in their daily lives without feeling alienated. The community agrees that as long as widows do not engage in deviant behaviour and violate established norms, their status in society is the same. Even so, there is still a small part of the community that views widows negatively. These community members still believe that widows are seducers of their husbands. It can be concluded that the majority of people in Desa Jelapat I already have an open mind and do not discriminate against women just because of their status as widows. It is hoped that communities in other areas that still hold negative stigmas can follow the example of the people of Jelapat I Village who do not necessarily negatively label widows.
Psidium guajava leaves extract decreased leukocytes and lymphocytes count in Complete Freund's Adjuvant-induced arthritis rats
Authors: Baroroh Hanif Nasiatul , Lesty Rupa , Utami Esti Dyah , Zulkepli Nur Ayunie 
Published: April 2024

Background: Psidium guajava is one of the herbal plants that has demonstrated antioxidant and anti-inflammatory properties.
Objective: This study aimed to determine the effect of P. guajava leaves extract on leukocytes and lymphocytes in rats.
Methods: Fifty rats were divided into five groups. Complete Freund’s Adjuvant (CFA) was employed to generate an animal model of arthritis. Group I (arthritis control) received CMC Na, group II (positive control) received dexamethasone 3 mg/kg BW, and groups III-V received 250, 500, and 750 mg/kg BW of the ethanol extract of P. guajava leaves orally. Total leukocyte counts were calculated on days 13 and 29, and on day 29, the histological joints were inspected.
Results: The P. guajava leaves extract decreased the number of lymphocytes and total leukocytes. Before and after treatment, the group receiving doses of 250 mg/kg BW and 750 mg/kg BW of the extract showed a significant decrease in leukocytes. With treatment of 250, 500, and 750 mg/kg BW of P. guajava leaves ethanol extract, the lymphocyte count was also reduced. The P. guajava leaves extract at 750 mg/kg body weight showed the greatest effectiveness in suppressing leukocytes and lymphocytes.
Conclusion: The extract of P. guajava leaves has the potential to be developed as an anti-inflammatory for arthritis.
Phytochemical screening and purification of n-hexane fraction of Calophyllum soulattri leaves
Authors: Sunarto Sunarto , Yuliasari Agnes , Susilowati Sri Sutji , Wasito Hendri , Wijaya Triyadi Hendra , Fareza Muhamad Salman 
Published: April 2024

Background: Calophyllum soulattri Burm F. is widely utilized in traditional medicine. It is necessary to identify secondary metabolites from C. soulattri leaves to determine the pharmacologically active chemicals.
Objective: This study aimed to screen the phytochemical content and purify the n-hexane fraction of C. soulattri leaves from Banyumas, Indonesia.
Methods: The n-hexane fraction was macerated with methanol, followed by liquid-liquid fractionation with n-hexane. The n-hexane fraction was tested for flavonoids, triterpenoids/steroids, saponins, and phenols using the test tube method. In addition, the compounds were purified using column chromatography. The purified compound was identified by the Liebermann-Burchard reagent, which was compared with commercially available steroid drugs as reference.
Results: Phytochemical analysis revealed that the n-hexane fraction of C. soulattri leaves contained secondary metabolites such as flavonoid, steroid, and phenol compounds. Analyses with the Liebermann-Burchard reagent indicated that the purified compound was potentially a steroid.
Conclusion: The compound extracted from the n-hexane fraction of C. soulattri leaves was expected as a steroid.
Effect of CYP3A4/5, ABCB1 gene polymorphisms on the residual equilibrium concentration of apixaban and bleeding in patients with non-valvular atrial fibrillation and deep vein thrombosis
Authors: Fedina L. V. , Sychev I. N. , Mirzaev K. V. , Vardanyan A. V. , Glagolev S. V. , Kachanova A. A. , Bochkov P. O. , Shevchenko R. V. , Tuchkova S. N. , Sychev I. V. , Abdullaev S. P. , Sychev D A. 
Published: April 2024

Aim. The aim of our study was to investigate the influence of polymorphic markers of CYP3A4*22 CYP3A4*22 (c.522-191C>T, rs35599367), CYP3A5*3 (c.219237A>G, rs776746), ABCB1 rs1045642 (c.3435T>C) and rs4148738 (c.2692-2236C>T) genes on the plasma concentration of apixaban, on changes in prothrombin time (PT), activated partial thromboplastin time (APTT), and bleeding development in patients taking apixaban.Material and methods. The study included 108 patients with non-valvular atrial fibrillation and deep vein thrombosis receiving apixaban in therapeutic doses. Genotyping was performed by real-time polymerase chain reaction. Apixaban concentrations were measured using an electrospray ionization mass spectrometer in positive ionization mode. Because the daily dose of apixaban was different (5, 10, and 20 mg daily), the residual equilibrium concentration (Cmin,ss) of apixaban was adjusted relative to the daily drug dose (Cmin,ss/D). PT and APTT were determined using an automatic coagulometer analyzer Destiny Max (Tcoag, Ireland). Statistical processing was performed in SPSS Statistics 20.0 program.Results. We found that patients with CT ABCB1 (rs4148738) C>T genotype had higher Cmin,ss /D value than patients with TT genotype (6.23 [4;13] vs 5.77 [4;17], p=0.018). No statistically significant associations were found between carriage of CYP3A4*22 (rs35599367) C>T, CYP3A5*3 A>G, ABCB1 (rs1045642) C>T gene polymorphisms and Cmin,ss /D value of apixaban. Also, there was no significant effect of carrying polymorphisms rs35599367, rs776746, rs4148738,rs4148642, and the above genes on the risks of hemorrhagic complications. However, the influence of ABCB1 (rs1045642) C>T polymorphism on the PT value was found (TT ABCB1 (rs1045642) C>T genotype carriers the CT value wassignificantly higher than in CT genotype (17.0 [40;112] vs. 14.9 [35;132]) p=0.044).Conclusion. It was found that the Cmin,ss /D value was higher in patients with CT ABCB1 (rs4148738) C>T genotype than in patients with TT genotype. At the same time, carriage of polymorphisms of CYP3A4*22 (rs35599367) C>T, CYP3A5*3 A>G, ABCB1 (rs1045642) C>T genes did not affect the pharmacokinetics of apixaban and the risk of bleeding. We also identified the effect of ABCB1 (rs1045642) C>T gene polymorphism on the PT value.
Clinical factors associated with the no/slow-reflow phenomenon in patients with acute coronary syndrome
Authors: Konstantinova E. V. , Ilin Yu. S. , Velikotskiy A. A. , Rakhimi N. A. , Bogdanova A. A. , Ploshchenkov A. V. 
Published: April 2024

Aim. To determine the incidence of the no-reflow phenomenon in patients with acute coronary syndrome (ACS) undergoing primary percutaneous coronary intervention (PCI), and to study factors associated with its occurrence in the daily work of the City Clinical Hospital.Material and methods. Of the 2090 patients with ACS admitted to N. I. Pirogov City Clinical Hospital No.1 in the period from 01.01.2017 to 01.11.2022 there were 2 groups of patients with PCI: group 1 (n=59) included patients with initial antegrade coronary blood flow TIMI 0 and final blood flow TIMI 0-2 (with the no/ slow-reflow phenomenon); Group 2 (n=149) included patients with initial coronary blood flow TIMI 0 and final antegrade coronary blood flow TIMI 3 (without the no/slow-reflow phenomenon).Results. The no-/slow-reflow phenomenon was observed in 2.8% of cases. Patients with no-/slow-reflow phenomenon more frequently had diabetes mellitus (42.4% vs. 22.8%, p=0.003), a history of stroke (12.1% vs. 3.4%, p=0.016), higher Killip class and "pain-to-balloon" time 7 [3; 16] vs. 4 [2.3; 8.25] hours, p=0.004. Binary logistic regression identified "pain-to-balloon" time as the most significant predictor of no-/slow-reflow phenomenon development [Odds Ratio (OR)=1.03; 95% CI: 0.95-0.996; p=0.02] and the proximal level of occlusion in infarct-related coronary artery. The incidence of in-hospital mortality was 6.1 times higher in the no-/slow-reflow group compared to the normal blood flow group [OR=6.102±0.433; 95% CI: 2.614-14.247; p<0.05].Conclusion. The development of the no-/slow-reflow phenomenon was observed in 2.8% of patients in clinical practice N. I. Pirogov City Clinical Hospital No.1. Its development was associated with an increase in the incidence of unfavorable outcome of the disease in the hospital. The total time of myocardial ischemia, the presence of diabetes mellitus, a history of stroke, and a higher Killip class of acute heart failure at admission were more often associated with the development of the no-/slow-reflow phenomenon. The proximal level of damage to the infarct-related artery and "pain-to-balloon" time were independent predictors of the no-/slowreflow phenomenon.
Study of the course of recurrent myocardial infarction in the acute stage within the framework the hospital register
Authors: Martsevich S. Yu. , Zagrebelnyy A. V. , Afonina O. S. , Kuzmina I. M. , Avdeev Yu. V. , Muradyan N. A. , Drapkina O. M. 
Published: April 2024

Aim. To study the features of the course of primary and recurrent myocardial infarction and compare their prognosis in the acute stage of the disease within the framework of the hospital register of the vascular center.Material and methods. The data from the acute coronary syndrome register of N. V. Sklifosovsky Research Institute for Emergency Medicine were used. The inclusion criteria were: transmural acute myocardial infarction (AMI) with ST-segment elevation (codes I21.0-I21.3 according to the International Classification of Diseases); permanent residence in Moscow and the Moscow region. The described part of the study included all patients with transmural myocardial infarction (codes I21.0-I.21.3) admitted from January 1, 2017 to December 31, 2017. Of the AMI patients admitted during this period (n=329), 214 met the inclusion criteria, with primary AMI in 153 and recurrent AMI in 61.Results. Patients with recurrent AMI were significantly older, more often had a disability group. Smoking and arterial hypertension were more frequent risk factors among patients with recurrent AMI than in primary AMI. All indices reflecting the severity of coronary artery disease and its complications were also significantly more common in the group with recurrent AMI. Diabetes mellitus was more common in these patients. Taking medications before hospitalization, as well as the regularity of this intake, were significantly more common in patients who had repeated AMI. The mortality rate of patients with recurrent AMI was 4.6 times higher than that of patients with primary AMI. Such complications as atrial fibrillation and flutter, intracardiac conduction disturbance requiring temporary endocardial stimulator placement, acute heart failure requiring intra-aortic balloon counterpulsation, respiratory failure requiring artificial ventilation, cardiogenic shock were significantly more common in patients with recurrent AMI. Kaplan-Meyer curves clearly demonstrate the differences in hospital mortality among the two groups of patients. These curves also clearly show that patients with primary AMI died mostly in the first days of the disease, but patients with recurrent AMI could die at a much later date, up to 12 days after admission. Analysis of factors determining the mortality risk during hospitalization showed that recurrent AMI is an independent predictor of death.Conclusion. The results of our work indicate the need for prompt identification of patients who had previously undergone AMI upon their admission to the vascular center, as well as the development of more active prevention tactics for such patients.
Technology Focus: History Matching and Forecasting (April 2024)
Authors: Nalla Gopi 
Published: April 2024

This year’s history matching and forecasting selections cover topics that include a deep-learning framework to forecast spatial/temporal dynamics of CO2 mineralization in reactive rocks, productivity decline analysis using coupled full-field and near-wellbore poromechanics modeling, and a reservoir graph network model for multiwell forecasting in unconventional reservoirs.
In paper SPE 216998, the authors present a deep-learning methodology to create surrogate models capable of predicting the precipitation of minerals during CO2 injection into deep saline aquifers. The authors state that this approach allows for the rapid assessment of the individual contributions of each mineral in the CO2 mineralization process.
A coupling scheme of a full-field reservoir model and a near-wellbore poromechanics model, its application on productivity index (PI) decline analysis for a deepwater reservoir, and the evaluation of the drawdown effect on well productivity is the subject of paper SPE 212200. According to the authors, the coupling scheme captured geomechanical damages, predicted PI trends with different drawdowns, and enabled identification of safe drawdown limits for operational decisions.
The authors of paper URTeC 3855422 present a hybrid approach that combines physics with data-driven approaches for forecasting the performance of unconventional wells under codevelopment. As per the authors, the reservoir graph network model, which describes the drainage volume of an unconventional well using a set of 1D gridblocks parameterized by pore volume and transmissibility, provides an efficient way to model, history-match, and forecast the performance of unconventional wells by reducing the system complexity while maintaining the fundamental physics.
Recommended additional reading at OnePetro: www.onepetro.org.
URTeC 3862949 A Robust Workflow To Characterize Uncertainties of a Horizontal Well Pad: Multiwell History Matching for Unconventional Reservoirs by Chuxi Liu, The University of Texas at Austin, et al.
SPE 212668 Application of Simulation Opportunity Index and Assisted History Matching for Fishbone Completion Strategy in the Existing Single Horizontal Well in a Tight Gas Carbonate Reservoir by Bondan Bernadi, ADNOC, et al.
SPE 212723 Automated Production Forecasting Using a Novel Machine-Learning-Based Approach by Kaustubh Shrivastava, SLB, et al.
Deep-Learning Framework Forecasts Dynamics of Carbon Dioxide Mineralization
Authors: Carpenter Chris 
Published: April 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 216998, “A Deep-Learning Framework To Forecast Spatial-Temporal Dynamics of CO2 Mineralization in Reactive Rocks,” by Zeeshan Tariq, Bicheng Yan, SPE, and Shuyu Sun, SPE, King Abdullah University of Science and Technology. The paper has not been peer reviewed.

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Reactive rocks, when exposed to CO2-charged waters, can undergo a series of reactions leading to the formation of stable carbonates. These carbonates can store carbon for thousands of years. To better understand the interplay between CO2 and brine in these reactive formations, numerical simulations are a useful tool. However, simulating fluid flow in these reservoirs can pose significant computational challenges. The objective of the study detailed in the complete paper is to develop a deep-learning work flow that can predict the changes in CO2 mineralization over time and space in saline aquifers, offering a more-efficient approach compared with traditional physics-based simulations.

Methodology
Geological Carbon Storage (GCS) Simulator.
The study used the Computer Modelling Group’s GEM simulator to simulate the flow of CO2 in a porous media. The numerical simulator is used for conducting multiple simulations and generating data on multiphase flow. The simulation technique used by the simulator is the finite-difference implicit method. The software uses an equation of state to determine fluid properties and uses a range of rock/fluid correlations to estimate properties of the rock, such as capillary pressures and relative permeabilities. Additionally, the simulator can integrate a geomechanical module that considers both plastic and nonplastic strains. The simulator, based on physics principles, implements a finite-difference numerical scheme with upstream weighting for dividing space into discrete gridblocks and uses the adaptive implicit method for dividing time into discrete intervals.
Various equations representing mathematical formulations important to the work are provided in the complete paper.
UNet Architecture.
In this study, the authors used UNet, a deep convolutional neural network, to predict the precipitation of minerals such as siderite and magnesite during CO2 storage in subsurface reactive formation. The architecture has proven effective in various image-processing tasks. Its fully convolutional network structure makes it suitable for image-to-image translation.
The network architecture of the UNet consists of multiple layers, each with a distinct type and size. These layers include the input, padding, convolutional unit, max pooling, deconvolution or transposed convolution layers, merging or concatenation layers, and a depadding layer. The convolutional unit performs convolutions using filters of different sizes and strides, whereas the max-pooling layers downsample the feature maps. The deconvolution layers upsample the feature maps, and the merging layers combine the feature maps from different parts of the network.