bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbohydrate Over Nutrition Harmfull to both Obese Pregnant Mice and Fetus
Authors: Idris Irfan , Paharu Kabah , Satriana Satriana , Tadjuddin  Chalid Maisuri , Wardihan  Sinrang Andi 
Published: November 2024

Background : Obesity in pregnancy due to carbohydrate over nutrition is still rarely reported and the incidence of obesity in pregnancy in the developing countries begin to increase. The aims of this study is to observe the detrimental effect of obesity in both mother and developing fetus of mice which fed by high carbohydrate diet. Methods : Female mice were divided to four groups. Group 1 (obese group) were fed with high carbohydrate (HC) diet and group 2 (control group) with standard diet for 12 weeks. All mice will be mated until pregnant and terminated for collecting blood with cardiac puncture every trimester. Another mice (7 mice from obese group and 7 mice from control group) will follow until 3rd trimester than terminated to collecting lipid profile of blood and examined the fetal’s anthrophometric. Lipid and blood glucose were examined by chemichal photometric and glucometer kit, while anthrophometric’s variables measured by weight scale and meter scale. Results : Blood glucose, total cholesterol, HDL and LDL are similar between obesity group and normal weight group every trimester, while only blood TG increased in obesity group particularly in first and second trimester of pregnancy. The detrimental effect also found in the developing fetus of obesity group which have significance higher of bodyweight, body lengths, head circumference, and waist circumference. Conclusions: Obesity in pregnancy due to carbohydrate over nutrition could have detrimental effect to both mother and developing fetus.
Üstün Yetenekli Çocukların Konu Edildiği Filmlerin Gelişimsel ve Eğitsel Açıdan İncelenmesi
Authors: Pektaş Damla , Çetin Asya , Işık Esra , Kırman Asli , Metin Nilgün 
Published: November 2024

Amaç: Bu çalışmada, üstün yetenekli bireyleri konu alarak bu bireylerin tanılanması ve tanınması konusunda yapılan filmlerin incelenmesi amaçlanmıştır. Gereç ve Yöntem: Araştırmanın çalışma materyalini 1974 ile 2010 yılları arasında çekilmiş üstün yetenekli çocukları konu alan 12 sinema filmi oluşturmaktadır. Filmlerin incelenmesinde içerik analizi yöntemi kullanılmıştır.Bulgular: Filmlerde üstün yetenekli çocuğun yeteneği, yeteneğin keşfinde etkili olan kişi, çocukların sahip oldukları yetenekler ve bu yetenekler doğrultusunda çocukların yaşamlarında karşılaştıkları olumlu ve olumsuz olaylar bir çocuk gelişimcinin bakış açısıyla değerlendirilerek verilmiştir.Sonuç: Üstün yetenekli çocukların uygun bir şekilde, doğru zamanda ve uzman kişiler tarafından belirlenerek, ihtiyaç duydukları eğitim gereksinimlerinin karşılanması hem bu çocukların geleceği hem de topluma sağlayacakları katkılar açısından oldukça önemlidir. Dolayısıyla yapılan çalışmanın üstün yetenekli çocukları erken dönemde tanılayarak yeteneklerine katkı sağlamanın önemine ilişkin toplumsal farkındalığı artırmasına katkı sağlayacağı düşünülmektedir.
Evaporites and red beds of a syn-rift Atlantic series: evidence of continental depositional environment (Berrechid sub-basin, Morocco)
Authors: Ajrhough Soukaina , Boutarouine Houssine , Lowenstein Tim K. , Weldeghebriel Mebrahtu F. , Xia Zhiguang , El Arabi El Hassane 
Published: November 2024

ABSTRACT
The Berrechid sub-basin of Morocco consists of Late Triassic–Early Jurassic evaporites and red beds that are part of the syn-rift Atlantic series. Although some of the Berrechid sub-basin has been extensively studied, the depositional environment of the Upper Salt-Mudstone Formation has long been debated, with some early studies proposing a marine origin. This study documents the sedimentological, mineralogical, and geochemical characteristics of core materials from two boreholes and mine outcrops covering the entire series of the Upper Salt-Mudstone Formation. Our analysis of the lithology, mineralogy, sedimentary structures, sedimentary textures, and geochemical data suggests deposition in a continental setting. In addition, detailed observations of sedimentary structures and textures indicate additional features of periods of flooding, evapoconcentration, and desiccation. The continental setting in a dry climate is also supported by the occurrence of Classopollis pollen. This study provides new insights of the paleoenvironmental conditions in the Berrechid sub-basin, and significantly advances our understanding of the paleoenvironment and climate of Pangea during the Late Triassic–Early Jurassic period.
Leveraging Fiber Optic Technology For Enhanced Well Integrity Monitoring In Petroleum Development Oman (PDO)
Authors: Al Busafi Maher 
Published: November 2024

Abstract
Petroleum Development Oman (PDO) has been at the forefront of deploying fiber optic technology as a surveillance tool in multiple Enhanced Oil Recovery (EOR) techniques across the Sultanate of Oman. This initiative aims to accelerate and enhance recovery from mature fields while ensuring the highest levels of well integrity. However, the increase in production activities has coincided with heightened concerns over well integrity, particularly relating to operational challenges and the cost-effectiveness of maintaining optimal uptime. Additional concerns include Health, Safety, Security, and Environment (HSSE) risks that cannot be overlooked, especially in high-risk environments characterized by H2S, HPHT (High Pressure High Temperature) settings, and remote locations. Moreover, significant production deferments resulting from integrity issues can severely impact high-producing wells.
This paper explores the application of fiber optic technology within PDO's operations and examines its far-reaching implications for monitoring well integrity, boosting operational efficiency, and enhancing safety management procedures. The findings highlight the transformative potential of fiber optics in revolutionizing how oil and gas operations manage well integrity issues, ultimately contributing to more sustainable production practices.
AI-Automated Drilling RTOC with ML and Deep Learning Anomaly Detection Approach
Authors: Benzine Abdallah , Khair Amine El , Buiting Sebastiaan , Sengupta Soumyadipta , Gupta Badal , Khan Ufaq , Tamaazousti Youssef , Vadakkekalam Sudheesh , Balakrishnan Sreejith , Jhinaoui Ahmed , Chraibi Imane , Ezzeddine Dhaker , Arnaout Arghad , Khambete Shreepad Purushottam , Bimastianto Paulinus , Ibrahim Abdullah , Hai Ahmed Al Hai Al 
Published: November 2024

The Real-Time Operations Center (RTOC) plays a crucial role in overseeing drilling operations, focusing on maintaining operational safety and efficiency. Our main goal is to improve the prompt identification and handling of various drilling anomalies, categorized into hookload (overpull, slack off, restrictions), pressure anomalies, and torque issues (over torque, pipe stalling, stick-and-slip), to prevent costly and dangerous situations.
We've developed a hybrid, two-step anomaly detection model to boost the effectiveness of RTOCs. This model includes the Anomaly Identification Model (AIM) and the Gate Filtering Model (GFM). The AIM uses traditional machine learning to recognize known anomaly patterns and deep learning to spot complex, subtle discrepancies using real-time surface data such as bit depth, hole depth, hook load, block position, stand pressure, flow rate, RPM, and torque. The GFM combines algorithmic approaches and machine learning techniques to filter out most false positives by focusing on areas with a higher likelihood of anomalies.
Our model is now in use on live drilling wells, processing 100+ wells daily. In practice, it has significantly improved the detection and handling of anomalies. There have been several instances where the model detections were followed by actions that prevented incidents like stuck pipes. The model has the capacity to only raise anomalies when there is a real risk, ensuring that alerts are meaningful and actionable. These findings highlight the model's ability to detect anomalies and the essential need for timely action following these detections.
This model introduces a new approach by integrating various machine learning methods to greatly reduce the need for manual data review. By enabling RTOC staff to focus more on strategic decisions rather than routine data monitoring, the model not only enhances safety but also improves operational efficiency. The Gate Filtering Model (GFM) ensures alerts are meaningful and not merely noise, allowing the system to alert but not to annoy. Our upcoming paper will elaborate on this methodology and provide an extensive performance analysis of the model.
Case Study of Proppant Fracturing Campaigns in a Mature Field, Onshore Gabon
Authors: Bremner S. E. , Devia F. , Vendiany M. K. , Belyakova L. 
Published: November 2024

Abstract
Onshore Gabon, two proppant fracturing campaigns conducted between 2021 and 2023 resulted in the treatment of 25 wells. The mature asset, which has been in production since 2009, had experienced falling production and reduced reservoir pressure. To extend the life of the asset, a series of production and injection wells was selected for proppant fracturing. With a large number of total wells in field, a methodology was developed to screen, assess, and select final stimulation candidates. This was followed by the analysis of each well, type of intervention required, and pumping data for an optimum fracturing treatment.
With 300 wells to consider for evaluation, the selection process started with simple elimination and progressed to more detailed analysis before the final 30 well candidates were selected. Many of the initial wells were eliminated based on well configuration and existing status. Then, a review of logs and the reservoir profile led to the final candidate list. This methodology for mature assets enabled design teams to focus on wells with the potential to give the most benefit from stimulation with the least amount of investment. Fracturing design was initially based on a single-well mechanical earth model using log assessment. This was further calibrated using pumping injection testing plus pre- and post-injection temperature logging. This enabled sufficient understanding of mechanical properties for proppant fracturing design. Post-treatment analysis of production data enabled assessment from fracture geometry and confirmation of the field mechanical model. Fracturing was carried out using a combination of conventional and channel fracturing techniques, plus the use of screens to prevent proppant flow back.
Between 2021 and 2023, 25 wells were successfully stimulated, placing over a half a million pounds of proppant using conventional and channel fracturing methods. These wells were stimulated with either completion in place or utilizing a fracturing string with or without a packer for zonal isolation. The campaign demonstrated that workover operations can be achieved without a workover unit and can be supported with an external crane. Production results from each of the wells were analyzed, ranging from 50 to 300% increase in oil production, to give a better indication of fracture geometry and to help support field production.
Contributions to hydraulic fracturing planning and operations from these campaigns include the assessment of fracturing design using multiple fracture simulation models including standalone simulators, integrated reservoir workflows, nodal analysis, the methodology of candidate selection, and a process for mature field intervention in remote locations.
Fiber Optic Wells Cement Quality Review in PDO: PDO learning Curve in Cementing Fiber Optic Wells
Authors: Al Zahli Hamood , Al Bahri Sultan , Basu Saptarshi , Al Busafi Maher , Al Hashmi Mohammed 
Published: November 2024

Abstract
Petroleum Development Oman (PDO) has been utilizing fiber optic technology as one of the surveillance methods in several Enhanced Oil Recovery (EOR) methods in the Sultanate of Oman to accelerate and increase recovery from fields with challenging rock and fluid properties. Cement Quality in fiber optic wells becomes a concern area in the past few years which hinders the installation process that impact the maturation of EOR projects and full-field scale deployment in many oil and gas fields in Oman.
The intension of this paper is to show PDO journey with cement quality and the progress of the improvements over times as part of this continuing effort, a currently ongoing installation and cement mapping shows that cement mapping tools play a vital role in assessing the quality of cement jobs and detecting any potential leak paths to the surface. These tools use various techniques to evaluate the cement bond between the casing and the formation, such as acoustic, electromagnetic, and ultrasonic measurements. This paper meant to show how the Ultrasonic imaging tools provide high-resolution images of the cement sheath surrounding the casing. These images allow engineers to visually inspect the integrity of the cement and detect any channels or voids that could potentially lead to leaks. The intension of this work is to show the cement quality journey of fiber optic well and the improvements done over time to ensure proper cementation jobs. Moreover, another objective is to how the cement quality was assessed before and after perforation jobs which ensure that cement integrity was not jeopardize after the perforation job.
The focus of this paper is to show the build learning curve by mainly showing the techniques used and monitoring over time of those wells after adding wells into stream. The data was used for several key decisions; to map the fiber optic cables and show any out-of-Zone Injection, matrix versus fracture injection, and to prove conformance. The most valuable information inferred from the cement quality of FO data allowed confirmation of the cement quality improvement overtime, any quality issues, and the efficiency of perforation jobs.
Leveraging Robotic Large Format Additive Manufacturing (LFAM) to Introduce Post-Industrial Recycled Polymers and Composites into the Production of New Applications in the Energy Sector On-Site
Authors: Trolese Andrea , Nicastro Riccardo , Nespolo Violetta , De Santis M. , Caltanisetta F. , Boughdachi Asma 
Published: November 2024

Abstract
Large Format Additive Manufacturing has been supporting the introduction of more sustainable and efficient part production on-site for the energy players. From 3D printing simulacra on-demand in remote locations to developing new applications in a more flexible manner, Large Format Additive Manufacturing has been supporting innovation for the Oil & Gas sector.
Over the last five years, robotic Large Format Additive Manufacturing has emerged as a leading technology for the fabrication of complex, lightweight, and high performing parts across sectors, where the volume is above 1 m3. The possibility of fabricating large monolithic parts allows to introduce great benefits to manufacturing supply chains – making the innovation relevant on applications that range from tooling to finished parts in advanced sectors such as Aerospace, Automotive, and Energy. Specifically, thanks to the fast production lead times, the drastic reduction of direct human intervention for assembly and reworking, and the ability to combine both process cost-efficiencies and environmental sustainability the Oil & Gas sector has significantly grown its interest on the technology, particularly to produce several components locally and on-demand.
Leading companies in the sector have been working to introduce certifiable sustainable materials, often also underdoing metal replacement, for the production of several applications: from non-critical parts to functional parts such as piping and plant components; all done with a more efficient and sustainable manufacturing process - robotic large format additive manufacturing.
Through several research and customer projects, Large Format Additive Manufacturing technology companies have been collaborating with leading players in the Energy sector to validate real-world applications, gradually moving from lower risk parts to researching on higher-risk applications. Specifically, what has already been proven are a series of applications that include buildings and site facilities as well as simulacra and temporary spare parts produced on-demand.
Study on the Mechanical Properties and Failure Characteristics of Heterogenous Shale Based on CT Scanning
Authors: Cong Wenyu , Li Tianjiao , Shi Yaoli , Tang Chun’an 
Published: November 2024

Summary
Shale reservoirs, as a significant type of unconventional reservoir, have always been a focal point in oil and gas exploration and development. The precise determination of shale mechanical properties is fundamental to the stimulation of shale oil and gas reservoirs. The heterogeneity of rock has a significant impact on its mechanical properties. Computed tomography (CT) scanning technology is an important method for observing the internal microstructure of rocks, and digital cores constructed based on CT scans can truly reflect the heterogeneity of shale. Numerical models of shale were established using image processing technology; the basic mechanical parameters of minerals were obtained through nanoindentation experiments; and mineral content was determined by scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). Uniaxial and triaxial compression simulations were conducted to study the impact of mineral composition and porosity on shale mechanical performance. The results indicate that the mechanical properties of shale are the outcome of the combined effects of pore distribution, mineral arrangement, and porosity. Initial natural pores significantly influence the initiation and expansion of fractures during the loading process. For models with obvious through-going joints, fractures mainly expand along the joint planes. For models with uneven pore distribution, fractures start at the pores and expand along the loading direction, eventually connecting different pores, leading to failure. In cases where a certain type of mineral is abundant or concentrated in the mineral composition, its mechanical properties will be significantly influenced by that type of mineral. In this simulation model with a high quartz content, the direction of fracture propagation during fracture was altered by the quartz. Porosity also has a significant impact on mechanical properties. As porosity increases, the model’s compressive strength decreases. Under triaxial loading conditions, at lower confining pressures, the model primarily fails due to tensile stresses; as the confining pressure increases, the proportion of tensile failures decreases, while the proportion of compressive failures increases. Models with a high content of quartz maintain a relatively stable proportion of tensile failures under different confining pressures. Meanwhile, dolomite in the model, due to its strong deformation capability, is better able to withstand tensile stress initially, but as loading continues, the proportion of tensile failures gradually increases. The composition of shale plays a crucial role in determining its mechanical properties, serving as a key reference for analyzing the mechanical behavior of shale.
Investigation of novel brightener acid blue 1 on copper electroplating coating
Authors: Li Mingjie , Li Xin , Li Yaqiang , Peng Xuesong , Jiang Jie , Meng Fan , Zhang Jinqiu , Yang Peixia , Li Ruopeng , An Maozhong 
Published: November 2024

Abstract

Fabricating electroplated nanocrystalline copper coatings with good brightness is significant. A novel brightener organic anion Acid Blue 1 (AB1) was used to obtain bright nanocrystalline copper coatings. AB1 was studied based on electrochemical methods and theoretical calculation methods. The suppressing effect of AB1 was confirmed and analyzed by electrochemical methods. Further insights into the effect mechanism of AB1 were investigated through computational methods, specifically, Density Functional Theory (DFT) calculations and Molecular Dynamics (MD) simulations. The phenomena of adsorption of AB1 on copper surface was discovered based on MD simulation and the coordination interaction formed between -SO3- of AB1 and free Cu2+ inhibit the growth of copper coatings, resulting that compact and flat copper plating coatings were formed. The electroplating condition and copper coatings morphology was studied by SEM and AFM. Bright flat copper coatings can be obtained with 100 mg/L to 200 mg/L AB1 under 5 A/dm2. The phase structure under the influence of AB1 concentration was studied using XRD. With the increase of AB1 concentration, the (111) surface is preferentially obtained. The average grain size of optimized copper coating, calculated according to Scherrer's formula, is about 11 nm, indicating the acquisition of nanocrystalline copper plating coating.
Conformational trajectory of the HIV-1 fusion peptide during CD4-induced envelope opening
Authors: Acharya Priyamvada , Thakur Bhishem , Katte Revansiddha , Xu Wang , Janowska Katarzyna , Sammour Salam , Henderson Rory , Lu Maolin , Kwong Peter 
Published: November 2024

Abstract

The hydrophobic fusion peptide (FP), a critical component of the HIV-1 entry machinery, is located at the N terminal stretch of the envelope (Env) gp41 subunit1-3. The receptor-binding gp120 subunit of Env forms a heterodimer with gp41 and assembles into a trimer, in which FP is accessible for antibody binding3. Env conformational changes or “opening” that follow receptor binding result in FP relocating to a newly formed interprotomer pocket at the gp41-gp120 interface where it is sterically inaccessible to antibody4. The mechanistic steps connecting the entry-related transition of antibody accessible-to-inaccessible FP configurations remain unresolved. Here, using SOSIP-stabilized Env ectodomains5, we visualized atomic-level details of a functional entry intermediate, where partially open Env was bound to receptor CD4, co-receptor mimetic antibody 17b, and FP-targeting antibody VRC34.01, demonstrating that FP remains antibody accessible despite substantial receptor-induced Env opening. We determined a series of structures delineating stepwise opening of Env from its closed state to a newly resolved intermediate and defining downstream re-organizations of the gp120-gp41 interface that ultimately resulted in FP burial in an antibody-inaccessible configuration. Our studies improve our understanding of HIV-1 entry and provide information on entry-related conformation reorganization of a key site of HIV vulnerability to neutralizing antibody.
Revisiting Tetrahydrofuran as the Solvent for Lithium–Sulfur Battery
Authors: Chen Zhenyu , Du Zhenyu , Wang Tianxiang , Chen Lei 
Published: November 2024

Abstract

Lithium–sulfur (Li/S) batteries using tetrahydrofuran (THF) as an electrolyte solvent have high discharge capacity. In this study, we investigate the effect of THF as an electrolyte solvent on the performance of Li/S batteries. Charge/discharge tests show that Li/S batteries employing THF as an electrolyte solvent have higher discharge specific capacity than those employing 1,3-dioxolane (DOL) and 1,2-dimethyl ether (DME) at low current densities. The reaction rate of S with Li metal and the shuttle effect of polysulfide ions is lower in THF than in DME. Compared to DME and DOL, THF has a higher dielectric constant, and its solvation ability is weaker than that of DME, which is more conducive to the deposition of lithium ions. Electrochemical impedance spectroscopy shows that the charge transfer resistance of symmetric Li metal batteries in THF is lower than that in DOL/DME. THF forms a gel layer that restrains the shuttle effect during battery discharge and increases battery impedance. Addition of DOL to THF can effectively inhibit the formation of a gel layer and improve the columbic efficiency of the system. Finally, ternary mixed solvents are prepared, and batteries with the new electrolyte solvent reveal better discharge capacity and higher coulombic efficiency than those with the original solvents. Taking the results together, THF appears to be a promising solvent for Li/S batteries.