bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ameliorative Effect of Chitosan-Propolis Nanoparticles on the Estradiol Valerate -Induced PCOS in Rat
Authors: Hosseini Seyede Fatemeh , Khodaei Forouzan , Hasansagha Zeynab , Khosravizadeh Hamidreza , Abdollahi Mostafa , Azaryan Ehsaneh 
Published: April 2023

Background: Endocrine conditions that impact women define polycystic ovary syndrome. Previous studies have demonstrated a connection between PCOS and insulin intolerance, oxidative stress, and immune system dysfunction. Additionally, some reports have indicated that propolis has antioxidant properties and that chitosan nanoparticles have beneficial effects on the reproductive system. The goal of the present study is to compare metformin (Met) to chitosan-propolis nanoparticles and explain how they protect against a rat PCOS model caused by estradiol valerate (EV). (as a control treatment).
Methods: In order to cause PCOS in rodents, a single subcutaneous injection of estradiol valerate was used, followed by a 42-day oral administration of 500 mg/kg of chitosan-propolis nanoparticles. Four sets of rats were created: the control, PCOS, metformin (PCOS and 150 mg/kg metformin), and chitosan-propolis nanoparticle (PCOS and 500 mg/kg chitosan-propolis nanoparticle) groups. The histopathological examination of the ovaries and measurement of serum ferctors were performed on all of the animals. Estradiol valerate caused PCOS, but chitosan-propolis nanoparticle therapy reversed it.
Results: After chitosan-propolis nanoparticle intervention, the body weight and ovarian morphology had improved, and the serum biochemical parameters, including esretogen, progestron, vitamin D, calcium, and the insulin resistance index, had been corrected. These EV-induced changes include decreased SOD activity, elevated MDA levels, and evidence that oxidative stress was increased by EV when chitosan-propolis nanoparticle/Met were administered for 42 straight days. Additionally, certain relative mRNA transcripts, including those for the MCP, IL18, and CRP genes, were markedly upregulated in EV-treated animals. These findings unequivocally demonstrate the beneficial effects of chitosan-propolis nanoparticles/Met in inflammatory disorders.
Conclustion: Together, the study's end findings, which are presented here, are consistent with the hypothesis that chitosan-propolis nanoparticle/Met offered protective activity against the harmful effects of EV. Although ameliorative effects may have been implicated, the primary pathway or pathways still need to be clarified.
Implementing Pancasila Economic System through BUMDes: A Legal Analysis on Desa Empowerment and Indonesia's Legal Framework
Authors: Jayantara Made , Kurniawan I Gede Agus 
Published: April 2023

This normative legal study aims to analyze the application of the Pancasila economic system in Desa through BUMDes. The research focuses on two legal issues: the urgency of implementing the Pancasila economic concept in Desa and constructing Indonesia's legal framework through BUMDes practices. The research results show that Desa requires empowerment and welfare improvement, making the implementation of the Pancasila economic system crucial. BUMDes is expected to implement the Pancasila values in its economic system and prioritize fair distribution of economic resources and community welfare. The legal construction of Indonesia through BUMDes practices can be done by adopting Pancasila economic values and principles of kinship and cooperation. The implication of this study is to encourage policymakers to promote the implementation of the Pancasila economic system and BUMDes practices in empowering Desa and constructing Indonesia's legal framework.Highlights

Urgency of implementing Pancasila values in Desa for empowerment and welfare improvement.
BUMDes as a means to implement Pancasila economic system and prioritize fair distribution of resources.
Legal construction of Indonesia through adoption of Pancasila economic values and principles of kinship and cooperation.

Keywords: Pancasila economic system, BUMDes practices, Desa empowerment, Legal framework, Fair distribution.
Forward and Inverse Stratigraphic Modeling in Exploration and Appraisal Workflows: Insights from Miocene Carbonate Platforms, Central Luconia, South China Sea
Authors: Granjeon Didier , Gervais Véronique 
Published: April 2023

Estimating the geometry and sedimentary heterogeneities of carbonate platforms is a very challenging task. In recent decades, numerical stratigraphic forward models have been developed to provide a quantitative view of sedimentary processes with the resulting stratigraphic architecture. Although used in many academic and industrial studies, this numerical approach is rarely used in everyday exploration and appraisal workflows. The calibration of these models on available seismic and well data is indeed a challenging and time-consuming process.
Here we use the DionisosFlow model to simulate a carbonate platform typical of the Miocene formations observed in Central Luconia, South China Sea. We build a reference simulation or virtual ground truth from literature data, using for instance the Haq et al. (1988), Laskar et al. (2011), and Bosscher and Schlager (1992) curves, which prove indications on sea-level variations, orbital parameters, and carbonate production as a function of water depth, respectively. We analyze the sensitivity of the simulation results to the parameters controlling the physical processes: accommodation space creation, carbonate production, and sediment transport.
Results show that stratigraphic modeling makes it possible to test the concepts of sequence stratigraphy in a virtual digital world, thus opening the possibility of testing the sensitivity of the different characteristics of a sedimentary system to physical parameters. We also propose an innovative approach to using this stratigraphic modeling in operational cases. The first step is to identify a diachronous geological body such as the carbonate platform sensu stricto, which is easily identifiable using seismic data. A comparison of the geometry of this geological body with the thickness maps derived from the seismic interpretation provides a first regional metric controlling the shape of the studied sedimentary systems. The second step is to validate the simulation results with well data, and, in particular, facies from the log interpretation. The computation of vertical proportion curves (VPC) in the vicinity of wells facilitates understanding the local variability of facies in the digital world as well as in the real world. This second metric, based on a comparison of VPCs, makes it possible to assess sequences and sedimentary heterogeneities and to define much smoother cost functions, thus facilitating the use of automatic optimization algorithms.
In conclusion, this work shows that numerical stratigraphic forward modeling is a tool that reproduces stratigraphic concepts using simple physical laws. Through the use of well and seismic metrics adapted to the resolution of the model, use of this numerical approach in daily exploration work to complement the interpretation of seismic and well data provides a quantitative stratigraphic view of the studied area to better access uncertainties and risk in exploration.
Management of Gas Slugging Along With Sand Handling to Improve ESP Performance and Efficiency
Authors: Vazhappilly Neil Johnson , Guanacas Luis , Gonzalez Gustavo 
Published: April 2023

Abstract
A dual purpose design is presented in this paper to face high gas presence and sand production conditions in petroleum wells with an Electric Submersible Pump (ESP) system installed. The results of this design's application in severely problematic wells, due to high gas and sand production, will confirm the importance of conditioning the fluid before it gets to the pump intake. This engineered design consists of different stages from the isolation of the pump intake until the tubing bodies in charge of gas and sand handling. Engineering concepts were applied in the construction of this solution such as gas re-solubilization, changes of pressure and velocity, agitation, and vortex effect to finally present a design that is capable of breaking gas slugs into smaller gas bubbles that can be produced by the ESP system without impacting its performance, and at the same time separating fine solid particles (&lt;250 microns) using centrifugal forces. Case studies from wells located in the Permian basin will better explain the positive impact of selecting a proper downhole conditioning system to improve the ESP systems efficiency. A drastic improvement on the sensor parameters will also illustrate the effect of handling the gas and sand before the pump intake, which also leads to one of the most important consequences: A decrease in the number of shutdowns, which in turn decreases non-productive time, resulting in positive impact of fluid production. Additionally, the flexibility of this design is significant, since it allows it to be installed in a wide range of fluid production, gas-liquid ratio, tubing and casing sizes. The novelty of this new design is the addition of the surge valve below the packer, which accomplishes multiple purposes: to avoid surging in the well, to allow testing the packer to assure it is properly set, and finally, allow chemical injection below the packer.
Development of a Multi-Completion Gas and Downhole Water Sink-Assisted Gravity Drainage (MC-DWS-AGD) to Improve Oil Recovery and Reduce Water Cut in Reservoirs with Strong Water Aquifers
Authors: Al-Obaidi Dahlia A. , Wood David A. , Al-Mudhafar Watheq J. , Wojtanowicz Andrew A. , Merzoug Ahmed 
Published: April 2023

Abstract
Gas and downhole water sink assisted gravity drainage (GDWS-AGD) is a promising gas-based enhanced oil recovery (EOR) process applicable for reservoirs associated with infinite aquifers. However, it can be costly to implement because it typically involves the drilling of multiple vertical gas-injection wells. The drilling and well-completion costs can be substantially reduced by using additional completions for gas injection in the oil production wells through the annulus positioned at the top of the reservoir. Multi-completion-GDWS-AGD (MC-GDWS-AGD) can be configured to include separate completions for gas injection, oil, and water production in individual wells. This study simulates the MC-GDWS-AGD process applied to the synthetic reservoir (PUNQ-S3, based on a real North Sea Field) by placing multiple completions in two wells, which include a gas injection loop, and 2-horizontal wells with a diameter of 2⅜ inch, first one for producing oil located above the oil/water contact and the second one for water sink placed below the oil/water contact. Hydraulic packers are positioned to isolate the multiple completions and an electric submersible pump are positioned to produce the water zone. These results compare to a base case involving no MC-GDWS-AGD wells, which achieved 55.5% oil recovery and 70% water cut.
Scalable Geothermal Energy Potential from Sedimentary Basins in Oklahoma
Authors: Vivas Cesar , Salehi Saeed , Nygaard Runar , Rehg Danny 
Published: April 2023

Abstract
Geothermal energy has vast potential as a reliable energy source of the future. However, its development has mostly been tied to specific geological locations or igneous rocks. Even though most western US regions have high thermal gradients compared to other places, higher temperatures are easily achievable by increasing the total depth in sedimentary rocks. The oil and gas industry has successfully mastered drilling sedimentary basins cost-effectively. Comparing cost/ft from typical sedimentary basins to granite or igneous rocks shows a tremendous difference. In addition, recent hydraulic fracturing technology transfer from the oil and gas industry can be deployed for geothermal applications.
A potential new path toward expanded geothermal energy production is to use known porous and permeable reservoir rocks in appropriate sedimentary basins, where those formations have a sufficient temperature, thickness, porosity, and permeability, existing at depths that drilling time makes well construction costs economical for geothermal applications.
In this paper, we will examine the unique potentials that sedimentary basins in Oklahoma offer to the geothermal industry for different end-user purposes, such as electricity generation or direct heat applications. The state has high geothermal gradients in some regions in the Arkoma Anadarko Basins that could be used for medium-temperature resources. Case studies from Oklahoma show how the many oil and gas wells in the state can enable geothermal direct-use projects. A state-wide levelized cost of energy analysis using geothermal gradient data indicates that there are areas with the potential to produce geothermal power at 14 cents/kWh or less. Geothermal energy has the potential to play a crucial role in Oklahoma's energy supply by offering a clean and renewable source of power that can fulfill energy demands.
Application of Machine Learning Optimization Workflow to Improve Oil Recovery
Authors: Koray Abdul-Muaizz , Bui Dung , Ampomah William , Appiah Kubi Emmanuel , Klumpenhower Joshua 
Published: April 2023

Abstract
Machine learning application in the oil and gas industry is rapidly becoming popular and in recent years has been applied in the optimization of production for various reservoirs. The objective of this paper is to evaluate the efficacy of advanced machine learning algorithms in reservoir production optimization.
A 3-D geological model was constructed based on permeability calculated using a machine learning technique which involved different architectures of algorithms tested using a 5-fold cross-validation to decide the best machine learning algorithm. Sensitivity analysis and a subsequent history matching were conducted using a machine learning workflow. The aquifer properties, permeability heterogeneity in different directions and relative permeability were the control variables assessed. Field development scenarios were exploited with the objective to optimize cumulative oil recovery. The impact of using a normal depletion plan to a secondary recovery plan using waterflooding was investigated. Different injection well placement locations, well patterns as well as the possibility of converting existing oil producing wells to water injection wells were exploited. Considering the outcome of an economic analysis, the optimum development strategy was realized as an outcome for the optimization process. Prior to forecasting cumulative oil production using artificial neural network (ANN) for the optimization process on the generated surrogate model, a sensitivity analysis was performed where the well location, injection rates and bottomhole pressure of both the producer and injector wells were specified as control variables. The water cut as part of the optimization process was utilized as a secondary constraint. Forecasting was performed for a 15-year period. The history-matching results from the constructed geological model showed that the oil rate, water rate, bottom hole pressure, and average reservoir pressure were matched within a 10% deviation from the observed data. In this study, the ANN optimizer was found to provide the best results for the field cumulative oil production. Using a secondary recovery development plan was observed to significantly increase the cumulative oil production. A machine learning based proxy model was built for the prediction of cumulative oil production to reduce computational time. In this study, we propose an approach applied to reservoir production optimization utilizing a machine learning workflow. This was accomplished by utilizing a surrogate model which was calibrated with a number of training simulations and then optimized using advanced machine learning algorithms. A detailed economic analysis was also conducted showing the impact of a variety of field development strategies.
Leak Detection in Natural Gas Pipelines Based on Unsupervised Reconstruction of Healthy Flow Data
Authors: Liang Jing , Liang Shan , Zhang Hao , Zuo Zhonglin , Ma Li , Dai Juan 
Published: April 2023

Summary
Timely detection of leak accidents plays an essential role in the safe operation and risk assessment of natural gas pipelines. However, the scarce leak data and complex operating conditions lead to small samples, data imbalance, and problems with confusing operating conditions. The reliance on leak data limits the recognition performance of the artificial intelligence classification method for leakage operating conditions. A leak detection method based on the unsupervised reconstruction of healthy flow data is established to address these problems. First, an unsupervised neural network is established to reconstruct healthy flow data from real natural gas pipelines. And a model update strategy based on active learning is designed to improve the model’s adaptability for time-varying pipelines. Next, a dynamic alarm threshold strategy that accounts for the knowledge of the experience and statistical characteristics of the data segments is suggested to prevent false alarms caused by ambiguous operating conditions. Finally, unlike most recent work that only considers simulated data or laboratory data, this paper conducts a leak case study on an actual natural gas pipeline in service to improve the robustness of the proposed method in the actual operating environment. The findings of this paper can be used as a reference to analyze pipeline behavior analysis based on pipeline flow trend characteristics and early alarm management.
Terrorist Crimes in the Era of Digitalization: Forms of Activity and Measures for Counteraction
Authors: Antonova E. Yu. 
Published: April 2023

Objective: to elaborate recommendations on counteraction against terrorist crimes committed in the digital (cyber-) space and/or using digital technologies.Methods: the methodological basis of the research are the universal dialectic method of cognition, the integrity of general and specific scientific methods such as analysis, synthesis, logical method, ascent from the abstract to the specific, induction, deduction, etc.Results: it was determined that the development of the digital (cyber-) space and digital technologies promotes the intensity of terrorism and has led to the change of the mechanism of terrorist crimes commitment. A conclusion was made that, to provide the efficiency of measures for counteracting terrorist crimes committed in the digital (cyber-) space and/or using digital technologies, a distinct strategy is necessary, as well as the appropriate regulatory basis.Scientiﬁc novelty: the article analyzes such forms of criminal activities of terrorist groups, committed in the digital (cyber-) space and/or using digital technologies, as dissemination of the ideology of violence and propaganda of terrorist activity, recruiting new members and their training, implementing digital technologies for preparation and immediate terrorist activity, and funding. The advantages were revealed of the use of digital space and/or digital technologies when committing terrorist crimes. In the author’s opinion, the change of the mechanism of terrorist crimes commitment associated with the use of digital technologies should be taken into account during criminalization (change of the intensity of penalization) of publicly dangerous deeds. The important areas of state policy in the sphere of counteraction against these crimes are education and enlightenment activity, training of the personnel of law-enforcement agencies, broadening their authorities to ensure a clear and effective control over digital content.Practical signiﬁcance: is due to the possibility to use the formulated conclusions and proposals for further scientific elaboration of the state criminal policy in the sphere of counteraction against terrorist crimes committed in the digital (cyber-) space and/or using digital technologies.
Concept of Electronic Evidence in Criminal Legal Procedure
Authors: Dmitrieva A. A. , Pastukhov P. S. 
Published: April 2023

Objective: elucidating the potential of digital transformation for elaborating the optimal means and methods of collecting evidences and introducing scientific organization of labor of the officials implementing criminal procedure. The scientific approach within the concept consists in minimizing the costs of collecting evidentiary information in criminal cases in electronic form and by electronic means, as well as storing the criminal case materials in electronic form.Methods: dialectic method occupies the leading position among the research methods, the issues of electronic documentation being considered in the interaction and interdependence with information-technological development of the society. The set of scientific cognition methods within the research creates prerequisites for objective and comprehensive approach to the problems under study.Results: the authors’ concept of electronic evidence is a system of information-technological and legal views on the criminal-procedural form, which is intended for optimizing the process of collecting, registering and preserving them in the criminal case materials. The concept development is aimed at elaborating new approaches to organizing the work of investigation agencies and courts, taking into account the achievements in the sphere of information technologies, providing new techniques of collecting criminal-relevant, criminal-procedural, criminological significant information when investigating and hearing of a criminal case. The proposed concept is also aimed at improving interaction and in-service communication of the officials of the preliminary investigation bodies with the officials of information-technological systems for the purposes of collecting evidentiary information in electronic form.Scientiﬁc novelty: the changes were systemically analyzed, which are taking place in the contemporary information society, through the prism of the emerging problems between the sectoral criminal-procedural evidentiary law and more modern technological means of collecting evidentiary information. The article demonstrates a new approach to creating technological interaction using digital technologies, on the scientific base of organization of proving activity, intended to optimize and rationalize the process of proving in criminal procedure.Practical signiﬁcance: the research materials can be used to prepare proposals on making changes and additions in the current legislation with a view of implementing the practice of already functioning models of criminal-procedural activity of foreign countries, an inexhaustible potential of information-technologies, software, and artificial intelligence to rationalize proving in criminal cases.
Illaria Lavrentyevna Bachilo – the Founder of Informational Law in Russia
Authors: Talapina E. V. , Zharova A. K. 
Published: April 2023

Objective: to assess the scientific contribution of Illaria Lavrentyevna Bachilo into forming the science of informational law in Russia; the role and significance of I. L. Bachilo’s scientific works for the Russian informational law.Methods: the methods used in the work are: retrospective scientific and bibliographical analysis, analysis and synthesis, comparison and cross checking, bibliographical study of documents.Results: a brief analysis of scientific activity of an outstanding researcher Illaria Lavrentyevna Bachilo was carried out; the most significant works were described, which, in the authors’ opinion, appeared to be fundamental in the formation and development of the science of informational law.Scientiﬁc novelty: the article presents the main stages and achievements of I. L. Bachilo’s academic life and reflects the personal estimations and impressions of the authors, formed during mutual work with Illaria Lavrentyevna Bachilo.Practical signiﬁcance: the information presented in the article will allow scientists, especially young researchers, to get acquainted with the personality and activity of a prominent scientist, a deep and intelligent person, whose memory will always dwell with the hearts of the people working in the Section of Informational Law of the Institute of State and Law of the Russian Academy of Sciences.