bluuebunny/crossref_metadata_2025_split huggingface dataset:
Big five personality traits and resilience as predictors for self-isolation adherence during COVID-19 pandemic
Authors: Alimoradi Kayvan , Gheshlagh Reza Ghanei , Albatineh Ahmed Najeeb , Nikkhoo Bahram , Nargesi Farideh , Rahmani Khaled 
Published: August 2024

Background & Aim: Results of previous studies on the role of personality traits and resilience in explaining health-oriented behaviors such as social/physical distance and self-isolation were inconsistent. The present study was conducted to determine the role of the five big personality traits and resilience in adherence to self-isolation during the COVID-19 pandemic.
Methods & Materials: A prospective longitudinal cohort study tracked 112 healthcare providers who tested positive for SARS-CoV-2. Using GPS data from their cell phones, researchers assessed self-isolation adherence over 14 days. Participants completed NEO-Five-Factor Inventory (NEO-FFI) and Connor–Davidson Resilience Scale (CD-RISC) questionnaires.
Results: Sixty-one (58.7%) of the subjects violated their self-isolation, and 43 (41.3%) did not violate it during the 14 days after PCR positivity for COVID-19. After adjustment for potential confounders, results showed that only two of the five big personality traits included, conscientiousness (AOR=1.37; 95%CI: 1.15–1.63) and neuroticism (AOR=0.85; 95%CI: 0.74–0.98), were significantly related to the self-isolation adherence. This means a one-unit increase in conscientiousness is associated with 37% higher odds of self-isolation adherence, while a one-unit increase in neuroticism reduces self-isolation adherence by 15%. Resilience was the main predictor for self-isolation adherence in which a one-unit increase in resilience score, the odds of adherence to self-isolation significantly increased by 18% (AOR=1.18, 95%CI: 1.07–1.30) (P<0.001).
Conclusion: The study suggests that fostering conscientiousness and resilience among individuals may enhance self-isolation commitment during pandemics. Further research is needed to explore the influence of agreeableness, extraversion, and openness to experience on self-isolation adherence.
SISTEMA NERVOSO E DOENÇAS AUTOIMUNES: UMA REVISÃO
Authors: Crispim Joelson , Cavalcante Muniz Celina , Gabriel Menezes Bezerra Ykaro , Emanuelle Pereira Santos Vanessa , Ribeiro Leite Celestino Vanessa , Ariane Silva Vital de Souza Ariane , Junior Siqueira Gama Elton , Rafaelle Bernardo da Silva Bruna , Camilla de Andrade Tenorio Cavalcanti Camilla , Jesus Barreto de Melo Rêgo Moacyr , Cristiny Pereira Michelly , Galdino da Rocha Pitta Maira , Melgarejo da Rosa Michelle 
Published: August 2024

O sistema nervoso autônomo (SNA) atua na liberação de respostas inflamatórias agudas e crônicas, por meio de mecanismos de resposta distintos. Na presente revisão, exploraremos os principais mecanismos de regulação do sistema nervoso, central e periférico, associados aos processos inflamatórios e os seus mecanismos de resposta às doenças autoimunes. O sistema nervoso simpático (SNS) exerce um papel significativo na regulação da mobilização de linfócitos na corrente sanguínea. Esse controle é efetuado por meio da interação direta das catecolaminas com o β2AR, receptor beta-adrenérgico, presente na superfície dos linfócitos, evidenciando a interconexão entre o sistema imunológico e o SNA. As células imunológicas desempenham um papel na síntese e liberação de substâncias tradicionalmente designadas como neurotransmissores e neuromoduladores, incluindo acetilcolina, dopamina e outras catecolaminas, desempenhando funções importantes na regulação imunológica local e em circuitos neuro imunomodulatórios mais complexos. Os avanços recentes na pesquisa sobre a comunicação neuro-imunológica ressaltam a necessidade de investigações adicionais sobre essas interações para identificar potenciais alvos terapêuticos a patologias auto-imunes que ainda apresentam desfecho clínico insatisfatório.

Palavras-chave: citocinas, inflamação, noradrenalina
Potential Impacts of Lead on Health: A Review of Environmental Exposure, Population at Risk, and Toxic Effects
Authors: Simatupang Meithyra Melviana , Veronika Erna , Irfandi Ahmad , Azteria Veza 
Published: August 2024

Introduction: Lead, a heavy metal, has been proven to influence the ecosystem negatively. The use of lead in processing or as raw materials increases Pb exposure to humans from various sources, including waste or consumed products. This study aims to determine the most recent information regarding lead contamination sourced from the environment, at-risk populations, and the health impacts of this heavy metal contamination. Results and Discussion: This systematic review used a database sourced from Google Scholar. The keywords searched were "lead exposure, environment, or health" in articles published in 2020-2023. After article screening and exclusion, 26 research articles were eventually reviewed. Lead was detected in water, air, and soil, generally in various foods or products consumed by humans. Environmental factors were the most frequent source of contamination. The population at risk of lead exposure were children. Several studies have found that various health impacts were significantly associated with lead exposure from different environmental sources and lead concentrations in biomarkers. Conclusion: Pb contamination was increasingly widespread in the environment through various sources. Exposure to lead may cause diverse health problems.
Analisis Usability Testing Menggunakan Metode Cognitive Walkthrough Pada Website PKL ITTP
Authors: Yunita Salsabila Firda , Yuniati Trihastuti 
Published: August 2024

Salah satu perkembangan teknologi internet yang paling umum digunakan saat ini adalah website. Website berperan sebagai media untuk menyebarkan informasi secara luas dan menyeluruh, memastikan bahwa informasi dapat sampai ke banyak orang dengan mudah. Contohnya pada Institut Teknologi Telkom Purwokerto untuk menyampaikan informasi dan mengolah data mahasiswa yang sedang melaksanakan PKL. Website yang baik harus dapat diakses secara mudah dan cepat karena mengutamakan kemudahan pengguna sehingga tidak menyebabkan kesulitan. Oleh karena itu kemudahan pengguna menjadi prioritas utama dalam pengembangan sebuah website. Tujuan dari penelitian ini adalah melakukan analisis usability testing pada website PKL Informatika ITTP dan memberikan rekomendasi perbaikan dari kendala yang dialami oleh user. Penelitian akan menggunakan metode cognitive walkthrough dan aspek usability yang diuji adalah learnability, effectiviness, dan efficiency. Berdasarkan analisis yang dilakukan penelitian ini menghasilkan presentase learnability sebesar 100% karena seluruh skenario tugas dapat diselesaikan oleh seluruh responden, effectiviness yang baik karena tidak ada kesalahan saat pengerjaan skenario tugas dan efficiency dengan rata-rata waktu yang dihabiskan 16,6 detik serta terdapat 5 rekomendasi perbaikan, 3 diantaranya merupakan perbaikan sistem dan 2 rekomendasi lagi adalah perbaikan user interface.
An Experimental Study on the Caprock Integrity of Reservoirs to Assess the Repurposing Depleted Bakken Formation Oil and Gas Fields for Underground Hydrogen Storage
Authors: Aluah Rockson , Fadairo Adesina , Opeyemi Oni , Ni Ruichong , Foerster Ian 
Published: August 2024

Abstract
The escalating greenhouse gas emissions have compelled global economies to implement climate change mitigation strategies. Geological hydrogen storage in depleted oil and gas reservoirs emerges as a groundbreaking solution, offering a dual benefit of repurposing existing geological structures while advancing sustainable energy storage, potentially facilitating the transition to a low-carbon economy. However, the potential for hydrogen leakage over extended storage periods is a significant concern. To assess the risk of leakage, it is essential to understand the interactions between hydrogen, brine, and the reservoir caprock integrity. In this study, we collected core samples from three depleted oil and gas reservoirs in the Bakken Formation (W17351, W21884, and W24881), from three distinct fields: Antelope, Alger, and Ranch Coulee. The Upper Bakken formation serves as a seal for potential underground hydrogen storage in the Middle Bakken reservoir. The core samples were subjected to hydrogen and brine exposure under high-pressure, high-temperature (HPHT) conditions in an autoclave reactor for 1 and 5 days to simulate reservoir conditions and assess the impact of hydrogen-brine-caprock interactions on the reservoir's integrity. We analyzed the samples' porosity, permeability, and mechanical properties before and after long-term exposure to hydrogen-brine using Nuclear Magnetic Resonance (NMR), permeability measurements, and ultrasonic measurements, X-ray diffraction (XRD) and scanning electron microscopy (SEM) to assess changes in their properties. The results showed a consistent increase in permeability across all samples, with the magnitude of increase varying based on exposure duration. NMR measurements indicated a substantial, time-dependent increase in porosity for all samples. Mechanical properties, such as Young's modulus and Poisson's ratio, decreased after exposure to hydrogen-brine, suggesting increased susceptibility to deformation and reduced ability to withstand stresses. SEM analysis revealed the development of fracture pores, interparticle pores, and dissolution-induced pores, as well as changes in elemental composition. XRD analysis showed changes in the relative abundances of minerals, with a decrease in clay and quartz content and an increase in K-feldspar content. These findings have significant implications for the integrity and sealing capacity of the Upper Bakken formation when considering its suitability for underground hydrogen storage. The observed changes in permeability, porosity, mechanical properties, microstructure, and mineralogy raise concerns about the potential for hydrogen leakage and the long-term stability of the reservoir seal.
Automation of Greenhouse Gas Emission Estimates Associated with Natural Gas Production in the Appalachian Basin
Authors: Calad C. , Buckinham T. , Mulligan E. , Annab M. , Sarma P. , Betancourt D. , Uribe C , Solano H , Rafiee J. 
Published: August 2024

Abstract
This study seeks to improve the quantification of greenhouse gas (GHG) emissions from unconventional natural gas production in the Appalachian Basin, covering Carbon Dioxide (CO2), Methane (CH4), and Nitrous Oxide (N2O). The goal is to automate the calculation process for compliance with the US Environmental Protection Agency (EPA), corporate sustainability reporting, and internal monitoring for emissions reduction targets. Traditionally, GHG emissions are manually computed once a year and are often calculated by third-party consultants, reducing transparency in calculation approaches. The development of an on-demand GHG emissions inventory enables real-time identification of emission-intensive processes, guiding strategic decisions for emissions mitigation and methane intensity reductions.
In this project, we employed Python and SQL scripts to map activity data related to process and fugitive emissions, including pneumatic devices, drilling and completions combustion, equipment leaks, liquids unloading, dehydrators, and flaring, into US EPA Subpart W formulas. The result is an annualized carbon footprint calculated at the well pad level, providing comprehensive insights into component gasses (CO2, CH4, and N2O), production-based carbon and methane intensities, and emissions contributions by emission source. Automation improved the efficiency and accuracy of the emissions calculation workflow, generating an updated carbon footprint in a runtime under 5 minutes. Additionally, the inclusion of emissions-generating events overlooked due to human error substantially improved the quality of the emissions footprint. Lastly, the employment of data analytics on all calculation inputs and outputs aided in identifying outliers that required modification.
The GHG calculation tool enhances accuracy, transparency, and consistency while minimizing the time invested in GHG estimations, allowing teams to redirect their efforts toward value-added activities. Next steps in the project include detailed emissions forecasting, which facilitates determining the most cost-effective emissions reduction strategy. The mapping of activity data into GHG estimation models was completed within six weeks, with additional time spent in result validation against previous manual calculations. After an initial configuration, data mappings do not require ongoing updates, establishing a fully automated GHG calculation process. This advancement enables efficiency and reliability in monitoring and reporting GHG emissions. Additionally, the development of a granular carbon footprint on an emission source basis enables detailed, source-level emissions forecasting to support future decisions around emission reduction projects.
Transfer of Oilfield Production Chemical Technology to the Renewable Energy Sector
Authors: Jenkins Alyn , McRae Alex , Nelson Alex , Gabbasov Dinar , Pineiro Rolando Perez 
Published: August 2024

Abstract
The transition from fossil fuels to renewable energy is accelerating, which has necessitated the oil and gas industry to investigate which technologies traditionally used in the oilfield can be used in the renewable energy sector. In oil and gas production, chemicals are used to preserve the integrity of production tubing, pipelines, and vessels; prevent inorganic scale deposition; and maintain the flow assurance of the hydrocarbons so that they can be transported from the reservoir to the refinery. Examples of chemicals used for these purposes include corrosion inhibitors, scale inhibitors, hydrogen sulfide (H2S) scavengers, kinetic hydrate inhibitors, demulsifiers, and paraffin inhibitors. Because certain renewable energy industries face challenges similar to those experienced by the oil and gas industry, there is an opportunity for the renewable energy sector to adopt the proven chemical solutions used in oil and gas production. For example, in geothermal energy production, scale deposition, corrosion, and H2S contamination are common problems. Similarly, corrosion poses a significant risk in carbon capture and storage (CCS) applications and for hydrogen transport, and there is the potential for gas hydrates to form in CCS pipelines. All these issues are routinely encountered in the oil and gas industry and can be mitigated through the application of production chemicals. This paper examines how certain oilfield chemicals perform under conditions experienced in the renewable energy industry and investigates how they can be used in this sector.
Semi-Hybrid Models for Determining Gas Solubility in Brines with Salt Mixtures: Application to CCS and Gas Processing
Authors: Ratnakar R. R. , Chaubey V. , Gupta S. , Rui Z. , Dindoruk B. 
Published: August 2024

AbstractGas solubility in brine plays crucial role in designing various industrial applications such as oil recovery, CCS, corrosion, and gas processing. However, most studies include only standard salts and may not capture the full spectrum of formation brines. The objective of this work is to develop a semi-hybrid framework that can determine the gas solubility in brine solution at extended pressure/temperature ranges, which is applicable to any gas and salt mixture of choice.The work includes the coupling of semi-empirical model and machine learning (ML) approach. In particular, it is an extension to Setschenow's correlation where coefficients are evaluated using ML tool based on decision tree (DT). The features in the ML models include the ionic properties of cations and anions, and thermodynamic properties of gases. This work captures combinations of various salts such as chlorides, carbonates/bicarbonates, and sulphates (as they are seen in real formation brines and water utilities applications), and various standard gases (including hydrocarbon, non-hydrocarbon/polar and acidic gases).A semi-hybrid (physics augmented) framework is developed to estimate gas solubility in brines for a generic gas-brine systems. It is applicable for a wide range of pressures, temperatures, and brine compositions. The prediction from semi-hybrid models were validated against the available experimental data. The main results are as follows:The Setschenow's coefficients for any cations, anions and gases can be generated within 1 – 3% accuracies. The semi-hybrid models predict the experimental trends of gas solubility in brine solution accurately, within the relative error of 1 – 6% for complex gas-brine systems. Most importantly, the framework is general, fast, convenient and can easily be extended for a novel species including greenhouse or hydrocarbon gases, as well as for variety of salts. Additionally, it can fill the gaps in experimental data for the gas-brine systems, and can extrapolate to elevated pressure and temperature conditions. In this work, the applicability is demonstrated for many salts that are seen in formation brine, and many gases that are used in gas injection/storage and gas processing applications.The most ML, correlation and EOS-based studies in the literature on estimating gas solubility in brine are restrictive and valid only for specific gases such as CO2 as well as few salts (NaCl/KCl/CaCl2). Here, we develop a semi-hybrid framework that can estimate the solubility of any gas in a given brine composition that could consists of wide range of salts and salt mixtures, which is the main novelty of the work.
The Effects of Co-Capture Impurities on the Phase Behaviour of CCUS Fluid Systems: Experimental Measurements and Thermodynamic Modelling of Vapour-Liquid Equilibria in CO2-Rich System
Authors: Okoro Franklin , Chapoy Antonin , Ahmadi Pezhman , Burgass Rod 
Published: August 2024

Abstract
This study carried out bubble point experimental measurements for CO2-rich binary (CO2-CH4) system using the constant composition expansion method at low temperatures (228.15 – 273.15 K). For all the data points, the measurements' uncertainties were 0.14 K and 0.03 MPa, and a maximum composition uncertainty of 0.03%. The experimental data were used to validate the predictive accuracies of two thermodynamic models - Multi-Fluid Helmholtz Energy Approximation (MFHEA) and Peng-Robinson (PR) equations of state (EoSs). The results revealed that the presence of the impurities increased the bubble point pressures of the mixture, and MFHEA gave a better prediction of the binary system. The literature experimental (bubble and dew points) data also fit both model lines with less than 5% deviations for all the data points. The study also showed that, the lower the temperature, the more significant the effects of the co-capture impurities on the bubble points of CO2. The higher the volume fractions of the impurities, the higher their effects on the bubble points of CO2. Therefore, not considering the presence of the impurities or assuming a pure CO2 in the CCUS process would clearly lead to flow assurance issues like two phase flow when single phase is expected.
Comparative Analysis of Best-In-Class Regulatory Frameworks Implemented in the Petroleum Industry vis-à-vis the Petroleum Industry Act, 2021
Authors: Nwankwo O. K. , Atebe O. J. 
Published: August 2024

Abstract
The passage of the Petroleum Industry Act 2021 (PIA) transformed the Nigerian petroleum regulatory landscape from being oversighted by a single regulator; a task that was largely regulated by the defunct Department of Petroleum Resources (DPR) to a dual regulatory landscape based on value chain administration. Upstream operations are exclusively regulated by the Nigerian Upstream Petroleum Regulatory Commission (NUPRC) while mid and downstream operations are exclusively regulated by the Nigerian Midstream and Downstream Petroleum Regulatory Authority (NMDPRA). This paper examines the economic benefits of the regulatory philosophy enshrined in the PIA and comparatively examines this philosophy vis-à-vis other possible regulatory philosophies to evaluate the most viable regulatory structure for the Nigeria Petroleum Industry. It was established that irrespective of the choice of regulatory framework, the clear separation of streams on the petroleum value chain that was established by custody transfer between them, which was presented by the PIA as its regulatory structure, is the philosophy with economic advantages that should be sacrosanct for any regulatory framework of choice. Moreover, mitigation strategies to reduce regulatory overlaps/conflicts in the implementation of the PIA were proposed given the concerns raised by stakeholders on ease of doing business. Finally, this paper recommends that the development and choice of regulatory frameworks should hinge squarely on critical factors such as the economic benefits to the country, expected long term objectives, clear and unbiased delineation of responsibilities, change management implementation, policy consistency and efficient data management.
Evaluation of Research Progress and Trends on Cement Retarders Application in Oilwells: A Bibliometric Analysis of Literature and Stakeholders
Authors: Nwaichi P. I. , Ridzuan N. , Nwaichi E. O. , Gbonhinbor J. R. , Agi A. 
Published: August 2024

Abstract
Retarders are used to prevent hydration of oilwell cement by prolonging thickening time and setting time, giving enough time for cement slurry application under deep and high-temperature conditions. However, the history and potential research direction of oilwell cement retarder has not been fully investigated. Thus, this study aims to fill these gaps in knowledge by identifying the main themes, influential authors, reputable journals, countries, and emerging keywords in this research area. The VOSviewer software was used to analyze journal articles published between 2000 to 2022 from the Scopus database to achieve the history, emerging keywords and potential research direction of oilwell cement retarder. The results show that 1,217 research articles on oilwell cement retarders have been published. Additionally, emerging keywords such as alkaline-activated slags, inorganic polymers, geopolymers, curing, slag grouting, and magnesia have gained recent attention. Authors from China, the United Kingdom, the United States, Spain, and South Korea contributed over 50% of the cited publications within the selected years. The findings provide valuable insights into previous studies on cement retarder applications, allowing for a deeper understanding of the research area, identifying the research gaps, highlighting potential research directions and collaborators.