bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of the Giant Chicontepec Tight Oil Paleochannel in Mexico and Integration with Actual Cumulative Oil Production
Authors: Gutierrez Oseguera Alejandra , Aguilera Roberto 
Published: September 2022

Summary
The Chicontepec paleochannel contains unconventional tight oil shaly sandstone reservoirs also characterized by natural fractures of tectonic origin. Chicontepec ranks as a giant reservoir with volumes of original oil in place (OOIP) ranging between 137,300 and 59,000 million STB (Guzman 2019). Although the cumulative oil is significant (440.38 million STB), it only represents 0.32 to 0.75% of the OOIP. The objective of this study is to develop a new characterization methodology with a view to increase oil recovery from Chicontepec.
OOIP in Chicontepec paleochannels was estimated originally at 137,300 million STB. Despite several studies using state-of-the-art methodologies and contracting major oilfield services companies to test new technologies and significant investments, the OOIP was decreased recently to 59,000 million STB due to lack of any significant success on the implemented projects.
This study shows that the key to success is understanding the contribution of natural fractures. This is demonstrated for the case of Chicontepec with a new dual-porosity petrophysical model for naturally fractured laminar shaly sandstone reservoirs developed in this study. The model assumes that matrix and fractures are in parallel. Laminar shaliness is handled with a parameter (Alam) that is a function of true and shale resistivities, and fractional shale volume (Vsh).
The methodology integrates data from observations in outcrops, quantitative evaluation of cores, well logs, and actual production data. Past Chicontepec studies have assumed that the porosity exponent (m) in Archie and shaly sandstone equations is constant. However, core studies indicate that Chicontepec m values become smaller as porosity decreases. The proposed dual-porosity petrophysical model, when applied to actual Chicontepec wells, matches properly the laboratory values of m and generates results that generally compare well with actual production data (e.g., the larger the value of fracture partitioning, the larger is the cumulative oil production). Pattern recognition allows estimating fracture intensity with a partitioning coefficient, which is calculated as the ratio of fracture porosity to total porosity.
The new contribution of this manuscript is the development of a petrophysical dual-porosity model for naturally fractured shaly sandstone reservoirs that integrates variable values of m from cores, fracture intensity, and cumulative production of individual Chicontepec wells. Our detailed review of the literature indicates that this methodology has not been published previously.
Large-Scale Pipe Flow Experiments for the Evaluation of Nonchemical Solutions for Calcium Carbonate Scaling Inhibition and Control
Authors: Loureiro J. B. R. , Martins A. L. , Gonçalves A. S. , Souza B. G. B. , Schluter H. E. P. , Santos H. F. L. , Castro B. B. , Pepe I. M. , Soares Junior L. C. S. , Demetino G. G. , Soares L. L. O. , Silva C. E. T. , Ferreira M. V. D. 
Published: September 2022

Summary
Inorganic scaling is a phenomenon of common occurrence both in nature and in industrial operations. In general, its effects can be highly detrimental for the oil industry, as fouling can take place in different stages of the production, from the wellbore and downhole production control valves to upstream primary oil processing and separation equipment. The deposition of precipitated crystals on pipe walls and valves can result in severe production decline. Despite the high costs involved in the design and operation of separate lines for additive injection, chemical inhibition is typically the solution adopted by the oil companies to mitigate scaling. The purpose of the present work is to show the results of large-scale laboratory pipe flow experiments to evaluate the performance of nonchemical solutions to mitigate and control calcium carbonate scaling. Magnetic, electromagnetic, and ultrasound devices have been tested in a setup that simulates the mixing of two incompatible brine solutions that cause precipitation and deposition of calcium carbonate for a high Reynolds number pipe flow. The performance of the devices is evaluated from pressure drop measurements along the pipe, carbonate deposited mass on the pipe wall, and pipe diameter reduction. Additional results include evaluation of particle-size distribution of precipitated crystals, scanning electron microscopy, X-ray diffraction analysis for identification of the crystalline structure, and pH and conductivity. Results show that the magnetic field furnishes a beneficial effect, as it delays the time observed for the onset of flow restriction in both pipe and valve. The use of a magnetic field slows down scaling, thus delaying the increase in pressure drop. The time scale associated with this delay is of two to four times the required time in tests carried out without a magnetic field. Ultrasound devices are also shown to provide a beneficial impact on the delay of the appearance of scaling effects. An ultrasound field influences the precipitation phenomena, inducing particle sizes to be kept at very small values, an effect that prevents crystal deposition. The main contribution of the present work is to provide an evaluation method of antiscaling devices based on large-scale experiments that are representative of real field applications.
Multistep Ahead Multiphase Production Prediction of Fractured Wells Using Bidirectional Gated Recurrent Unit and Multitask Learning
Authors: Li Xuechen , Ma Xinfang , Xiao Fengchao , Xiao Cong , Wang Fei , Zhang Shicheng 
Published: September 2022

Summary
Relying on its strong nonlinear mapping ability, machine learning is found to be efficient and accurate for production prediction of fractured wells compared with conventional analytical methods, numerical simulations, and traditional decline curve analysis. However, its application in forecasting future multistep time series production remains challenging, with complications of error accumulation, growing uncertainty, and degraded accuracy. To this end, we propose a novel multistep ahead production prediction framework based on a bidirectional gated recurrent unit (BiGRU) and multitask learning (MTL) combined neural network (BiGRU-MTL), which can improve prediction performance by sharing task-dependent representations among tasks of multiphase production prediction. The forecasting strategies and evaluation setups for multiple timesteps are elaborated to avoid unfair assessment caused by mixing different prediction confidences over several days. In this framework, BiGRU is in charge of capturing nonlinear patterns of production variation by utilizing both forward and backward sequence information. MTL methods including cross-stitch network (CSN) and weighting losses with homoscedastic uncertainty are incorporated to automatically determine the sharing degree of multiple tasks and the weight ratio of the total loss function. By this means, domain knowledge contained in tasks of multiphase production prediction is deeply leveraged, shared, and coupled to enhance multistep ahead prediction accuracy while meeting the need for multiphase production forecasting. The proposed framework is applied to a synthetic well case, a field well case, and a field multiwell case to progressively prove the feasibility, robustness, and generalization of the BiGRU-MTL model. Experiment results show that the proposed framework outperforms conventional single-task models and commonly used recurrent neural networks (RNNs), furnishing a reliable and stable tool for accurate multistep ahead production prediction. This work promises to provide insights into dynamic production optimization and management in oil- and gasfield sites.
Lessons of sanctions for sustainable economic future of Russia
Authors: Gafurova G. T. , Bondarenko I. N. 
Published: September 2022

Objective: to determine the ways of the Russian economy development under the pressure of sanctions.Methods: when writing the work, such methods of scientific cognition were used as abstract-logical, historical method, analysis and synthesis.Results: the problem of sanctions pressure on the Russian economy is not new. However, the volume of economic pressure on the country in 2022 indicates that the time has come for a radical restructuring of the economic system. The paper analyzes the Russia’s experience of overcoming the crisis associated with the consequences of sanctions in 2014; conclusions are formulated about the ambiguity of the measures taken to create conditions for the formation of financial and economic independence of the country. A significant part of the stated goals was not achieved, as evidenced by the data, obtained by the authors, on the Russian economy’s dependence on imports of main products. The key areas of sanctions against the Russian economy are systematized, the most vulnerable industries are identified, and some areas of the problems are revealed.Scientific novelty: a critical assessment of the Russian economy’s preparedness for sanctions imposed some countries is given, and measures are developed to reduce their impact on the Russian economy.Practical significance: the study results can be useful in developing economic policy directions and focusing on those industries whose problems were exposed under the sanctions war of 2022.
Legal nature of judicial practice
Authors: Skorobogatov A. V. , Krasnov A. V. 
Published: September 2022

Objective:a comprehensive theoretical and legal study of the nature of judicial practice.Methods: the methodological basis of the article is postclassical rationality, which allows studying judicial practice in the context of its impact on the public relations regulation and establishing the legal nature of this phenomenon. This determined the integration of methods developed in the legal science (formal legal, comparative legal methods, method of legal modeling) and other humanities (hermeneutical, discursive methods).Results:the article considers judicial practice as an individual legal regulation, i.e. the activities of the authorized judicial bodies of the state aimed at consideration and resolution of legal cases, as well as the creation of individual legal foundations for the lawful behavior of subjects of public relations. The authors proceed from the fact that judicial practice is a unity of cognition, activity, and result, as it actively participates in the construction of legal reality. This leads to the conclusion that judicial practice should be understood dichotomically – as the activity of judges, the result of which is the creation of individual and generalizing legal acts aimed at constructing a legal reality (a specific form of legal communication), and as a material source of law (a set of generalizing legal acts (positions of courts) that have a legal impact on the consciousness and behavior of an indefinite circle of subjects of the same name).Scientific novelty: in the article, for the first time in the Russian legal science, a study of judicial practice is transferred from the level of sectoral analysis to the philosophical-legal level. At the same time, the authors emphasize the interdisciplinary, general humanitarian nature of judicial practice. The analysis and interpretation of judicial practice are carried out at the ontological and axiological levels of legal reality. This allowed identifying the specific role of judicial practice in the legal system as a means of communication between individual and general legal regulation.Practical significance: the main provisions and conclusions of the article can be used in scientific and pedagogical activities when considering the essence and content of judicial practice and its role in the creation and functioning of the Russian legal reality, as well as for improving judicial activity at all levels.
cRGD Nanoparticles Loaded with Microbubbles for enhancing anti-Proliferation and anti-Angiogenesis
Authors: Zhang Xia , Gui Fenfen , Zhou Bing , Xie Rongping , Liu Shan 
Published: September 2022

Abstract
Background
The inhibition of angiogenesis leads to the degeneration of tumors; thus, anti-angiogenesis therapy is a strategy for the treatment of tumors. Accumulating documents has demonstrated effective anti-angiogenic strategies should simultaneously inhibit endothelium-dependent vessels (EDV) and tumor cell-mediated vasculogenic mimicry (VM). Although cRGD peptide enabling to bind with αvβ3 integrin can specifically inhibit both EDV and VM, however peptide-based drug delivery platforms have not obtained the expected therapeutic efficacy due to their rapid degradation and low tumor accumulation.
Results
Herein, we developed cRGD nanoparticles (cRGD Nano) loaded microbubbles (MB) to enhance their anti-EDV and anti-VM ability for endothelial cells and ovarian cancer cells due to the sonoporation effect from ultrasound (US). Heparin as backbone conjugated with cRGD to prepare cRGD-H conjugate and then loaded with biotin thereby following dialysis to fabricate cRGD Nano. Subsequently, the cRGD Nano were incorporated with MB via avidin-biotin linkage to fabricate cRGD Nano-MB. The enhanced anti-angiogenic effect can take profit of cRGD from cRGD Nano and sonoporation effect from US combined with MB. cRGD Nano has been characterized, and cRGD Nano-MB combined with US exhibited the best intracellular uptake ability than cRGD Nano and cRGD Nano-MB without US by flow cytometry and confocal laser scanning microscopy. Also, cRGD Nano-MB combined with US could efficiently discourage the tube formation of endothelial cells and cancer cells, and presented excellent significant anti-proliferation activity in vivo.
Conclusions
The combination of cRGD Nano-MB and US is expected to be a promising strategy for peptide drug delivery and enhancing anti-proliferation and anti-angiogenesis.
Effect of lidocaine on postoperative analgesia of endoscopic rubber band ligation combined with injection sclerotherapy for treatment of internal hemorrhoids: A retrospective study (with video)
Authors: Xu Wen , Xia Guili , Dong Ling , Zhu Ying 
Published: September 2022

Abstract

Background: Endoscopic minimally treatment of internal hemorrhoids may cause postoperative pain. The aim of the study is to investigate the analgesic effect of lidocaine plus lauromacrogol on postoperative pain caused by endoscopic rubber band ligation (ERBL) combined with injection sclerotherapy (IS) for internal hemorrhoids treatment.
Methods: Clinical data of Grade Ⅲ internal hemorrhoids patients who underwent ERBL combined with IS in department of digestive medicine of Shenzhen Hospital, Southern Medical University, were retrospectively analyzed. According to the composition of sclerosing solution, the patients were divided into control group (lauromacrogol group, 46 patients) and study group (lidocaine plus lauromacrogol group, 20 patients). Postoperative pain (quantized by Visual Analogue Scale, VAS), pain relief time and postoperative adverse reactions were compared. The therapeutic effect was followed up 1 month after operation.
Results: VAS of postoperative pain was 0.80±0.42 points and pain relief time was 0.90±0.56 days in the study group, while VAS of postoperative pain was 1.63±0.79 points and pain relief time was 1.69±0.73 days in the control group (P<0.05), there was statistical difference between them (P<0.05). There was no significant difference in the incidence of postoperative adverse reactions and follow-up therapeutic effect between the control group and the study group.
Conclusion: Lidocaine plus lauromacrogol is useful for pain alleviation on ERBL combined with IS for internal hemorrhoids treatment because of its convenient procedure, low adverse reaction incidence and good therapeutic effect, which is worthy of promotion.
Relationship of obstructive sleep apnea with periodontal condition and its local and systemic risk factors
Authors: Arango Natalia , Morales Darena , Uriza Catalina Latorre , Porras Juliana Velosa , Corral Mayra Alexandra Téllez , Arregoces Francina María Escobar 
Published: September 2022

Abstract
Objective:Obstructive sleep apnea (OSA) and periodontitis share risk factors, such as age, obesity, stress and cardiovascular events, which have a bidirectional cause-effect relationship through systemic inflammation. Our objective was to determine the relationship between OSA and the periodontal condition and its associated local and systemic risk factors.
Material and Methods: This was an observational case–control study involving 60 patients. Local oral risk factors and the systemic condition of each patient were evaluated. All patients underwent polysomnography for the diagnosis of OSA. Chi-squared, one-way ANOVA and Bonferroni tests were performed.
Results: A higher percentage of patients with periodontitis had severe OSA (66.66%); however, no statistically significant association was found between the two pathologies (p = 0.290). In terms of systemic risk factors, an association was found between arterial hypertension and severe OSA (p = 0.038), and in terms of local factors, an association was found between the use of removable prostheses and severe OSA (p = 0.0273).
Conclusion: In the general population, patients with periodontitis showed a higher prevalence of severe OSA. Obesity and hypothyroidism were the most prevalent systemic findings in patients with OSA and periodontitis. Arterial hypertension and osteoarthritis were found to be associated with severe OSA. The local risk factors associated with periodontitis and severe OSA were removable partial dentures and misfit resins.
Clinical relevance
To study the factors that can facilitate the progression of OSA and periodontitis, physicians and dentists should be advised to provide comprehensive care for patients with both pathologies.
TYCHE Study: Implementation of a web-based tool for orthopedic image analysis, score validation, and research
Authors: Schippers Philipp , Meurer Andrea , Schnetz Matthias , Ewald Larissa , Ruckes Christian , Hoffmann Reinhard , Gramlich Yves 
Published: September 2022

Abstract
Introduction : Image analysis plays a central role in orthopedics but comes along with many challenges like anonymization, bias, usability, and efficient analysis by multiple independent analyzers, etc. Tyche is a lightweight, browser-based program that addresses the challenges mentioned above by displaying images anonymized, in random order and facilitating the analysis by multiple analyzers. The goal of this study was to validate Tyche for the use of orthopedic images by comparing it with a validated standard program for orthopedic planning.
Method : One hundred three anterior-posterior pelvic radiographs were selected from our database and analyzed separately by five experienced orthopedic surgeons using both Tyche and validated software, mediCAD® (mediCAD Hectec GmbH, Altdorf, Germany). Common orthopedic measurement modalities (length, angle, area) and a score (Kellgren & Lawrence) were determined. Methods were compared using Pearson's correlation coefficients and Bland-Altman-Plots. A short video explaining Tyche can be found at www.tyche.expert/explain.
Results : All one hundred three radiographs were analyzed five times using both Tyche mediCAD®. Significant correlations ranging from r = 0.77 (angle-measurements) to r=0.99 (area-measurements) were found between the two programs for all measurements. Bland-Altman-Plots confirmed the non-inferiority of either method. Images were analyzed significantly faster using Tyche. No obvious transmission errors were found in results using Tyche compared to those from mediCAD®.
Conclusion : None of the currently available tools addresses all challenges in image analysis like anonymization, subjectivity, bias, and usability. Here we tested a new browser-based program, Tyche, by comparing results with a validated tool. In summary, results correlated significantly between the two methods. However, using Tyche, results were acquired faster, under complete anonymization, and with fewer transmission errors. We conclude that Tyche is a validated tool for orthopedic image analysis. For the first time, a validated browser-based tool enables independent analyzers worldwide to conduct efficient, multicenter, and randomized imaging studies and score validations.
Investigating factors that influence the practice of exclusive breastfeeding among mothers in a peri-urban general hospital in Ghana
Authors: Dadzie Baaba , Bayor Fidelis , Doat Abdul-Razak , Kappiah Jamilatu , Akayuure Collins Adombine , Kampo Sylvanus 
Published: September 2022

Abstract
Background
In Ghana, only 52% of mothers exclusively breastfeed their babies and the rate of increase has been steadily slow across all geographical areas of Ghana. The purpose of this study was to determine the various factors that influence exclusive breastfeeding among mothers who visited the child welfare clinic at the Tema General Hospital.
Methodology:
This descriptive cross-sectional study was carried out at the Child Welfare Clinic of the Tema General Hospital. A random sampling technique was used to recruit mothers with children between the ages of 6 months and 24 months attending the Child Welfare Clinic. Mothers were interviewed with the aid of a structured questionnaire.
Results
About 65.8% of mothers exclusively breastfed their infants for six months. Mothers who had good knowledge of exclusive breastfeeding had 96.3% increased odds of exclusively breastfeeding their babies (COR: 0.037, p < 0.001, CI = 95%). Also, mothers whose spouses complained of exclusively breastfeeding had decreased odds (COR: 0.205, p < 0.001, CI = 95%). Finally, mothers who had poor attitudes towards exclusive breastfeeding were 8.733 times less likely to exclusively breastfeed their babies for six months (COR = 8.733, p < 0.001, CI = 95%).
Conclusions
High rate of exclusive breastfeeding among mothers who visited the child welfare clinic was found. The level of knowledge and attitude of the mothers towards exclusive breastfeeding significantly influenced the six months practice of exclusive breastfeeding. Spouses also showed a high influence on whether or not mothers should exclusively breastfeed their babies.
The Role of Public Spaces to Achieve City’s Well-Being Through Geospatial Analysis: A Case Study of Abbottabad city, Pakistan.
Authors: Sattar Ashfa 
Published: September 2022

Abstract
Scientific research into the environmental and experiential factors that contribute to human happiness has grown into a large and expanding body of work. As city growth is increasing day by day in an uncontrollable manner, it directly affects the infrastructure of the city as well as the mental health of its residents. Urban happiness can be described as a philosophy that gives people a positive perception of the place and encourages them to stay there for a long time and/or want to live there again with the same experience. The aim of this research paper is to analyze geospatial quantitative research on the basis of previously defined parameters for urban happiness in a city. Happy place mapping aims to identify long-term urban satisfaction, as well as the reasons that make areas happy from the visitors' perspective, as well as design interventions to improve or build it. With the use of SPSS, QGIS, and questionnaires, the method consists of surveys, observations, and questionnaires. A survey was conducted in Abbottabad's public spaces. These considerations and techniques are expected to be helpful to developers, urban designers, and planners in their efforts to create positive user interfaces and set city-shaping policies.