bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reservoir Heterogeneity and Boundary Delineation Using Numerical Well test Analysis and Multi-Seismic Attributes in Complex Channel Environment
Authors: Thompson Sonny , Meshioye Oluwafisayo , Benard Ebere , Amsata-Awani Tolulope , Ipoola Fisayo 
Published: August 2024

Abstract
The effective management of hydrocarbon reservoirs in complex channel environments demands a comprehensive understanding of reservoir heterogeneity and accurate delineation of reservoir boundaries. This study presents an integrated approach combining numerical well test analysis and multi-seismic attribute analysis to enhance reservoir characterization in intricate channel settings of a reservoir in the Niger-Delta region. The investigation focuses on unraveling the complexities associated with fluid flow dynamics, heterogeneity, and the identification of reservoir boundaries, crucial for optimizing hydrocarbon recovery. Numerical well test simulations are employed to model the dynamic behavior of the reservoir, providing insights into fluid mobility, connectivity, and distribution within the channel system. Integrating numerical well test interpretation techniques enables a comprehensive comprehension of reservoir boundaries, facilitating the identification and characterization of heterogeneities that influence reservoir performance. In conjunction with numerical well test analysis, multi-seismic attribute analysis was conducted to extract detailed information about the reservoir architecture. Utilizing a suite of seismic attributes, such as spectral decomposition and elastic rock properties, enables the delineation of complex channel geometries and the identification of potential barriers. The synergistic integration of numerical well test analysis and multi-seismic attributes provides a holistic perspective on reservoir heterogeneity and facilitates accurate boundary delineation. This approach enhances reservoir modeling precision, aids in optimizing production strategies, and mitigates uncertainties associated with reservoir management decisions. The findings of this study contribute to advancing reservoir characterization methodologies, particularly in challenging channel environments, ultimately improving the efficiency and sustainability of hydrocarbon recovery operations.
Advancements in Subsea Technologies for Deepwater Exploration for Optimum and Efficient Production; a Comprehensive Review
Authors: Ikpe E. J. 
Published: August 2024

Abstract
Exploration and extraction of hydrocarbons from deepwater reserves have become essential for meeting the world's energy needs as energy demand continues to rise. However, the deepwater domain presents unique challenges, ranging from extreme environmental conditions to complex reservoir characteristics.This paper aims to give a comprehensive overview and analysis of deepwater development and operations. Evaluating the most recent developments in subsea technology, their implications for deepwater exploration, and the potential for improved efficiency, safety, and environmental sustainability. Main objectives are to examine technological advancements, address operational challenges, and put forth innovative ideas that can guide the sector toward efficient and sustainable practices.A comprehensive review of existing literature forms the foundation of this study. Academic journals, industry reports, and case studies were scrutinized to identify key trends and advancements in subsea technologies. The findings reveal significant advancements in subsea sensors, enabling real-time monitoring of deepwater environments, the evolution of sensor technologies, renewable energy integrations, and their applications in optimizing exploration processes.Insights from this study will enable practicing engineers to take a more informed and deliberate approach when working on deepwater projects. This study aims to offer fresh perspectives on deepwater development by integrating the most recent advancements, challenges, and possible paths. The findings give practicing engineers better understanding of modern technology, operational strategies, and emerging trends, which will ultimately aid in the successful completion of the deepwater project.
Petroleum Industry Value Chain Optimization: the Inevitability of Artificial Intelligence and Data Science in Midstream and Downstream Development
Authors: Favour Daniel Adah 
Published: August 2024

Abstract
Implementing artificial Intelligence (AI) and data science holds significant potential for optimizing Midstream and Downstream operations in the petroleum industry, fostering margin enhancement opportunities and overall value chain optimization. This involves streamlining processes such as production, logistics, pipeline monitoring, refinery operations, plant safety, and environmental impact reduction. Artificial intelligence involves developing intelligent systems that operate autonomously, learn from experiences, and improve performance with increasing knowledge. On the other hand, data science focuses on extracting, cleaning, and analyzing data to drive valuable insights. In the midstream stage, which pertains to crude or refined petroleum transportation, digital twin technology plays a crucial role, offering applications like pipeline monitoring and logistics optimization. Downstream is the refinery, processing and purifying of crude oil and natural gas. Companies like Shell and Chevron leverage in real-time data from sensors, cameras, and drones to create dynamic representations of operations and equipment for real-time monitoring and analysis.
However, maintaining accurate and up-to-date digital twin models poses challenges. This is where AI techniques like optimization (model creation and updating), generative modelling, data analytics, predictive analytics, and decision-making come to play. For instance, according to Abn resource, Shell Lubricants introduced the AI-powered Chatbot tool, Shell LubeChat, in 2018, enhancing customer service for business-to-business lubricant clients and optimizing profits.
Cognite Data Fusion, a data solution, codifies industrial knowledge into software for seamless integration with existing ecosystems, facilitating scalability from proofs of concepts to operation-driven scenarios. Maintenance systems often struggle to intelligently schedule tasks without contextualized data from various sources provided by Cognite Data Fusion.
Artificial intelligence and Data science solutions are instrumental in helping midstream and downstream operators achieve optimal performance, contributing to both profitability and sustainability.
The impact of work environment conditions on missed nursing care in selected hospitals of Abadan University of Medical Sciences
Authors: Elhami Saeideh , naeimi samaneh , hatefimoadab nasim , Tamimi Ali 
Published: August 2024

Abstract

Introduction:
Missed nursing care is emerging as a notable index of patient safety and satisfaction. Nurses will forget or omit some care for a variety of reasons. This study investigates the relationship between specific factors of the nursing environment and missed nursing care.
Methods:
The current research is a descriptive-cross-sectional type, which was carried out with the participation of 373 nurses. The research tool includes 3 parts: Individual information, PEW-NWI(Practice Environment Scale of the Nursing Work Index), and missed nursing care questionnaire. Data analysis was done using SPSS version 22 software.
Results:
In the examination of the missed nursing care items, the most malpractice was in the re-evaluation item, oral care, and helping the patient toilet, and also the least malpractice was in the meal preparation item, which is significantly related to things such as Finance status, work shift, level of interest, satisfaction with the work environment, income, and gender. Also, all scales of working environment conditions are significantly related to the magnitude of missed nursing care.
Conclusion:
Missed nursing care is related to various aspects of working environment conditions, such as the ability to manage and lead nurses and their participation in management affairs, the sufficiency of resources and personnel, and the existence of sufficient infrastructure to improve the quality of care and the relationship between doctor and nurse as a therapeutic team. By improving them, cases of malpractice in care can be reduced.
WITHDRAWN: FXR-regulated COX6A2 triggers mitochondrial apoptosis of pancreatic β-cell in type 2 diabetes
Authors: Shao Lianqi , Kong Xiangchen , Lv Simian , Shu Xing-sheng , Ai Xiaojiao , Yan Dan , Ma Xiaosong , Ying Ying 
Published: August 2024

Abstract

Pancreatic β-cell apoptosis plays a crucial role in the development of type 2 diabetes. Cytochrome c oxidase subunit 6A2 (COX6A2) and Farnesoid X Receptor (FXR) have been identified in pancreatic β-cells, however, whether they are involved in β-cell apoptosis is unclear. Here, we sought to investigate the role of FXR-regulated COX6A2 in diabetic β-cell apoptosis. We found that COX6A2 expression was increased in islets from diabetic animals, whereas FXR expression was suppressed. Notably, overexpression of COX6A2 facilitated β-cell apoptosis, whereas its deficiency attenuated this process and ameliorates type 2 diabetes, suggesting a pro-apoptotic role of COX6A2 in β-cells. Mechanistically, increased COX6A2 interacted with and enhanced the expression of voltage-dependent anion channel 1 (VDAC1), thereby promoting the mitochondrial translocation of Bax, leading to the release of cytochrome c from the mitochondria to the cytoplasm and ultimately causing β-cell apoptosis. Moreover, FXR negatively regulated COX6A2 expression through the inhibition of histone acetyltransferase p300 occupancy, diminishing histone H3 acetylation at lysine 27 on the Cox6a2 promoter. Furthermore, the deficiency of FXR intensified β-cell apoptosis under diabetic situations. Thus, it is probable that in diabetogenic environments, reduced FXR expression contributes to enhanced COX6A2 expression, culminating in β-cell apoptosis. These findings emphasize the essential involvement of the FXR/p300 pathway-controlled COX6A2 in β-cell apoptosis, revealing a previously undiscovered mechanism underlying diabetic β-cell apoptosis.
Tittle: Quantification of Historical and Future Loss of Different Landuse/ Landcover in Response to Erosion-Accretion: A DSAS-Based Approach for Future Predictions along the Purba Medinipur Coast, West Bengal
Authors: Ghosh Milan , Sahu Abhay Sankar 
Published: August 2024

Abstract

From the historic past the Purba Medinipur coastal region undergoes constant transformation due to its morpho-dynamic attributes and impact of human interventions. Predicting the loss of landuse/landcover along the Purba Medinipur coast is crucial for environmental conservation and sustainable development through safeguarding both humans and natural ecosystems of the region. The current study quantified the historical and future loss of different landuse/ landcover types in response to erosion-accretion along the Purba Medinipur coast. using digital shoreline analysis system (DSAS). Temporal multispectral data of TM, ETM + and OLI sensors of the years of 1991, 2001, 2011 and 2021 have been used here. Threshold method (NIR band) and remotely sensed indices (NDVI and NDWI) have been adopted to extract shoreline. Linear regarrison rate (LRR), Net shoreline movement (NSM) and End point rate (EPR) have been calculated to estimate the change rate. Finally, shoreline of the year of 2031 and 2041 have been predicted using beta shoreline forecast tool in ArcGIS. Predicted erosion is estimated to be 337.12 hectares in 2031 and 663.91 hectares in 2041. The study reveals that Digha, Mandarmoni and Bankiput areas are most susceptible to erosion. Subsequently, the agricultural land experienced the highest degree of loss (33.07%) followed by wetland (22.13%), vegetation (15.73%) and builtup area (9.97%). The study forecasts the highest loss in agricultural (33.80%) and barren land (31.76%) due to coastal erosion. Validation of the model has been done using RMSE (27.259 metre) and Kappa co-efficient (94.03%) which ensured that the predicted result is accurate and reliable.
1.8 Å resolution structure of the cyanobacterial Photosystem I assembly intermediate lacking cytoplasmic subunits
Authors: Naschberger Andreas , Charras Quentin , Komenda Josef , Gupta Sadanand , Tichý Martin , Al‐Amoudi Ashraf , Lukeš Martin , Koník Peter , Sobotka Roman , Novák Petr , Zákopčaník Marek 
Published: August 2024

Abstract

Despite the detailed knowledge of photosystem I structure, the biogenesis of this energy-converting complex remains poorly understood. Here, we provide a 1.83 Å resolution model of a cyanobacterial PSI assembly intermediate isolated from a PsaC-less mutant. Our structure revealed the association of all small membrane subunits with the central PsaA/PsaB heterodimer except PsaL, which was missing together with PsaD and PsaE. The intermediate contained nearly all pigments and cofactors as the mature complex including the iron-sulfur cluster at the FX site, which was found incomplete; possibly due to conformational changes of PsaB. The data contravene previous assembly models initiated by the formation of PsaA/PsaB heterodimer and ending by incorporation of small membrane subunits. They rather support a parallel assembly of PsaA, PsaB, and PsaC, which is essential for the correct FX formation, while stable binding of small membrane subunits to the PsaA/PsaB heterodimer is mostly independent of the cytoplasmic subunits.
The safety and efficacy of stapler method for transection of the pancreatic parenchyma during pancreatoduodenectomy (STRAP-PD trial): study protocol for a randomized control trial
Authors: Kitahata Yuji , Shimizu Atsushi , Takeuchi Akihiro , Motobayashi Hideki , Yoshimura Tomohiro , Sato Masatoshi , Matsumoto Kyohei , Hayami Shinya , Miyamoto Atsushi , Kawai Manabu 
Published: August 2024

Abstract

Background Pancreaticoduodenectomy is a highly difficult and invasive type of gastrointestinal surgery. Prevention of postoperative pancreatic fistula is important, and this may be possible by the stapler method.Methods STRAP-PD is a single center randomized controlled trial. We compare a method of transecting the pancreatic parenchyma in pancreaticoduodenectomy using a surgical stapler device with a conventional transecting method using energy devices (e.g., scalpel, ultrasonic coagulator and incision devices). Patients with soft pancreas who are scheduled to undergo pancreaticoduodenectomy are randomized to arm A (conventional method) or arm B (stapler method). We aim to examine the safety and usefulness of dissection by the automatic suture device, with attention to the rate of pancreatic fistula ISGPF grade B or C and to postoperative complications. This is a single-center randomized study, which began in September 2023 at Wakayama Medical University Hospital.Discussion Pancreatic parenchymal transection is typically performed either by direct incision using a scalpel or by employing energy devices such as ultrasonic coagulating cutting devices during pancreaticoduodenectomy. In a prospective pilot study, we conducted pancreatic parenchymal transection in 20 consecutive normal pancreatic cases during pancreaticoduodenectomy, observing postoperative pancreatic fistula grade B in one case (5%). Traditional methods involving scalpel incision or the use of ultrasonic coagulating cutting devices have been historically favored but perceived as technically challenging, and they have been reliant upon the surgeon's skill. Notably, relatively high incidences of postoperative pancreatic fistula among patients with soft pancreas have also been observed. Our proposed stapler method may therefore be a useful method responsible for reducing the development of pancreatic fistula. This method would be as part of minimally-invasive surgery for pancreaticoduodenectomy. It uses an endoscopic linear stapler to cut the pancreatic parenchyma, so it is likely to be more convenient than conventional methods and can be used universally.Trial registration University Hospital Medical Information Network Clinical Trials Registry, UMIN000052089. the Registration Date on 1st September 2023.
ECAD Study: Evaluating agreement degree among paediatricians in hip dysplasia assessment by Graf ultrasound method
Authors: Aguilar Isabel Miras , Marrón Laura Fidalgo , Gómez María Pangua , Olteani Filip Camil Olteanu , Herrera Cristina Gilarte , Ramos Pilar Sevilla , Martínez Gonzalo Mateo , Martín Laura Montes , Matamala Alfonso Ortigado 
Published: August 2024

Abstract

Introduction:
developmental dysplasia of the hip (DDH) is the most common musculoskeletal anomaly of childhood. This study analyses paediatrician’s concordance performing hip ultrasound according to Graf's method.
Materials and methods
an analytical cross-sectional study is designed. Patients’ hips are evaluated by Graf´s ultrasound method at 4–6 and 12–16 weeks of age. Demographic characteristics, pregnancy history, factors related to DDH, hip type, and α and β angles are collected. To assess agreement degree of hip diagnosis and hip types Kappa index (I. kappa) is used. Intraclass correlation coefficient (ICC) evaluates concordance of α and β angles. A p value < 0.05 is considered to be statistically significant. All results are represented with their 95% confidence interval (95% CI).
Results
467 neonates are recruited and meet inclusion criteria. 3182 images were analysed. Agreement between paediatricians according to hip diagnosis and different types ranges from moderate to almost perfect I. kappa 0.6–1.0 (95%CI 0.5–0.7; 95%CI 1.0–1.0). α angle ICC for paediatricians is between 0.75–0.88 (95%CI 0.61–0.86; 95%CI 0.80–0.92). β angle value agreement degree among paediatricians at both visits is moderate.
Discussion
Graf method is the most popular ultrasound technique for hip assessment. In our setting, paediatricians carry out children follow-up, therefore, they should perform universal screening. In this study agreement degree between paediatricians varies between substantial and almost perfect. As conclusion, Graf ultrasound procedure performed by paediatricians is a reliable test and can be used for DDH screening.
A Geography of indoors for analyzing global ways of living using computer vision
Authors: Mazzarello Martina , Klimenka Mikita , Sanatani Rohit , Eshtiyagh Javad , Yao Yanhua , Santi Paolo , Duarte Fabio , Florida Richard , Ratti Carlo 
Published: August 2024

Abstract

Globalization is often seen as having a homogenizing effect, reducing pronounced local cultural differences. The kinds of housing people live in are one of the most pronounced expressions of local culture. Our research utilizes a unique dataset of more than 640,000 Airbnb images and employs a visual AI framework to exam- ine the differences and similarities in people’s living spaces across 80 cities. We show that geographic proximity and socio-economic connectivity—measured by air traffic data—are significantly correlated with the visual features of indoor spaces (R = 0.19 to 0.32), with cities closer to each other or having high pas- senger traffic between them also exhibiting high visual similarity. Our results challenge the prevailing notion that cultural homogenization may be overdrawn. Despite the homogenizing influence of globalization, distinctive local styles per- sist in domestic living arrangements. This research highlights the resilience of local identities and cultural distinctions in the face of global pressures.
Climate Change Integration and Budgeting in National and Subnational Policies in Tanzania and Uganda
Authors: Ampaire Edidah Lubega , Mwongera Caroline , Marois Isabelle Le , Kinuya Ivy 
Published: August 2024

Abstract

Climate change integration and budgeting are essential components of policies, programs, and strategies for addressing climate change. Integrating adaptation and mitigation measures into policies and strategies ensures a more holistic response to climate change, considering both short-term and long-term goals and leading to greater synergies, efficiency, and cost-effectiveness. Climate policy integration refers to incorporating climate change mitigation and adaptation objectives into all policy sectors, including non-environmental sectors, at all stages of policy-making. This study aims to assess climate change integration in national and subnational policies in Tanzania and Uganda and evaluate the degree of climate finance integration into government budget cycles. We conducted a content analysis of 157 policy documents in Tanzania and Uganda to evaluate climate change integration across governance levels. The selected documents focused on agriculture, natural resources, including land, water, and forestry, and climate change development and action plans. The assessment of climate change integration utilized two frameworks: Gumucio and Tafur-Rueda (2015) and Mickwitz et al. (2009), to analyze the degree of integration based on varying but complementary variables. We adjusted both frameworks to assess the extent to which existing policies integrate climate change concerns. The analysis results indicate that although Tanzania and Uganda have made progress in integrating climate change concerns into national and subnational policies, more work remains, including developing effective climate budgeting.
Regarding climate budgeting integration, we found a lack of clarity and coherence in integrating climate budgeting into government budget cycles in both countries. Climate budgeting varies inconsistently across administrative levels, with intermittent budget allocations. The alignment between national and subnational climate change policies, budget allocation, and execution also varies. Based on these findings, we recommend further research on effective approaches for developing and implementing transparent, accountable, and effective climate budgeting.