bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does the COVID-19 pandemic have an impact on fears and concerns among pregnant women?
Authors: Zabochnicki Mateusz , Wikarek Agnieszka , Pędrys Karolina , Pokora Karolina , Skulik Michał , Zabochnicki Konrad , Wikarek Tomasz , Lemm Magdalena , Nowosielski Krzysztof 
Published: November 2024

WprowadzenieObjawy lękowe i depresyjne są powszechnymi objawami w okresie ciąży. Wystąpienie pandemii wirusa COVID-19 jest wyjątkowym stresorem, który wpłynął na psychologiczny aspekt przebiegu porodu. Celem pracy jest ocena wpływu pandemii COVID-19 na przebieg ciąży i porodu w populacji polskiej.Materiał i metodyGrupę badawczą stanowiło 2186 kobiet. Badanie ankietowe zostało przeprowadzone w okresie od listopada 2020 r. do grudnia 2020 r. za pośrednictwem Internetu. Kryterium włączenia do badania były ciąża i poród w okresie pandemii COVID-19. Do oceny stopnia poziomu strachu i obaw wykorzystano pytania stworzone przez autorów z zastosowaniem pięciostopniowej skali Likerta.WynikiU kobiet hospitalizowanych w czasie ciąży występował większy poziom strachu i obaw związanych z ciążą (średnia 30,9 vs 29,6; p = 0,007). Podobną zależność stwierdzono w przypadku kobiet, u których wykonano cesarskie cięcie (30,6 vs 29,5; p = 0,006) lub które były hospitalizowane > 7 dni (31,8 vs 29,7; p = 0,012). Stwierdzono również istotną statystycznie, choć słabą korelację pomiędzy średnimi wynikami pytań dotyczących obaw a liczbą hospitalizacji w czasie ciąży (współczynnik korelacji Pearsona r = 0,1654; p < 0,000).WnioskiBadanie wykazało alarmująco wysoki poziom lęku u kobiet w ciąży podczas pandemii COVID-19, co może mieć długoterminowe konsekwencje dla ich dzieci.
Achieving Better Clinical Outcomes After Total Knee Arthroplasty in Knees with Valgus Deformity
Authors: Batailler Cécile , Lording Timothy , Libert Thibaut , Servien Elvire , Lustig Sébastien 
Published: November 2024

Background:
Personalized alignment in total knee arthroplasty (TKA) has demonstrated good functional outcomes for knees with varus alignment. However, limited research has explicitly addressed optimal alignment strategies for valgus knees. The aims of the current study were to assess the impact of the postoperative knee alignment and of the degree of correction of knee alignment on functional outcomes and satisfaction in a population with preoperative valgus and to evaluate the complication and revision rates based on postoperative alignment.

Methods:
This retrospective study included primary posterior-stabilized TKA with a preoperative hip-knee-ankle (HKA) angle of ≥180°, with a minimum follow-up of 32 months. There were 460 knees included, divided into 3 groups: (1) preoperative neutral alignment (180° to 183°) (n = 162), (2) preoperative mild valgus (184° to 190°) (n = 204), and (3) preoperative severe valgus (>190°) (n = 94). A standardized surgical technique was employed with a goal of achieving neutral postoperative alignment. Data on radiographs, Knee Society Scores (KSS), range of motion, satisfaction, complications, and revisions were collected at the last follow-up.

Results:
The mean follow-up was 74.3 ± 12.4 months. In the preoperative mild valgus group, 10.8% of patients had postoperative varus, 81.4% had postoperative neutral alignment, and 7.8% had postoperative valgus. In the preoperative severe valgus group, 4.3% had postoperative varus, 83.0% had postoperative neutral alignment, and 12.8% had postoperative valgus. In the preoperative mild valgus group, patients with postoperative neutral alignment had significantly higher satisfaction (p = 0.0004) and KSS function score (p = 0.031) than patients with postoperative valgus alignment. In the preoperative severe valgus group, patients with postoperative valgus alignment had significantly higher satisfaction (p = 0.035) and greater improvement of the KSS knee score (p = 0.014) than patients with postoperative neutral alignment. Functional outcomes were not impacted by the degree of HKA angle correction. There were significantly fewer complications (p = 0.022) and revisions (p = 0.007) in the preoperative mild valgus group when patients had a postoperative neutral alignment compared with a postoperative valgus alignment.

Conclusions:
For preoperative mild valgus, correction to neutral alignment achieved better outcomes and fewer complications than leaving residual valgus. For preoperative severe valgus, retaining residual valgus postoperatively ensured satisfactory functional outcomes without increased complications.

Level of Evidence:
Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
Analyzing the Productivity Impact of Propped Hydraulic Fracturing at Karachaganak Gas Condensate Field: A Simulation Study
Authors: Ibragimov Abdulmalik 
Published: November 2024

Abstract
Traditionally, carbonate reservoirs like Karachaganak rely on acid stimulation to enhance well productivity, achieving significant reductions in skin factors. However, in tight, low-permeability formations, the effectiveness of acid stimulation in productivity improvement is limited (Al-Enezi et al., 2022). On the other hand, this paper examines the application of propped hydraulic fracturing in tight carbonate reservoirs, with a focus on the Karachaganak gas condensate field. A sector model was built based on a recently drilled well in a low-fractured zone of the Karachaganak field. The model was used to simulate various stimulation scenarios, including no stimulation, acid stimulation, and hydraulic fracturing with multiple stages.
Results indicate that while hydraulic fracturing significantly improves the Productivity Index (PI) and sustains flow over a decade, the production rates remain lower compared to wells connected to extensive natural fracture networks. Nevertheless, it showed much better results than other methods of stimulations. The study also explores cost reduction strategies, such as using lower quality proppants and optimizing the number and spacing of fracturing stages. Furthermore, the potential benefits of hydraulic fracturing in enhancing natural gas lift were evaluated, highlighting the importance of fracture geometry and rock properties.
This comprehensive analysis provides valuable insights into the limitations and advantages of propped hydraulic fracturing stimulation technique in tight carbonate reservoirs, offering practical recommendations for optimizing well productivity and reducing operational costs.
Managed Pressure Drilling and Managed Pressure Cementing: Adapted Set of Equipment to Improve Well Construction Efficiency in Complex Geological Conditions
Authors: Aliyev Fuad , Kaidarov Almas , Yanturin Yan , Alekseyev Ivan , Myrzabayeva Madina , Magda Andrey 
Published: November 2024

Abstract
With the increasing scope of drilling at explored oil fields and new fields, field operators face more geological challenges while drilling new wells. Such complications not only extend the well construction time and increase the cost of drilling, but also may cause harm to health of personnel. Oilfield service companies offer a variety of modern solutions, and one of those is the Managed Pressure Drilling and Cementing technologies (MPD and MPC).
The MPD and MPC technology has long been used successfully in the industry, but the number of candidate wells is limited, specifically due to the large amount of auxiliary equipment. The excessive amount of equipment reduces the cost efficiency of the technology. Therefore, to make the technology replicable, it is vital to adapt the MPD equipment to the current economic reality.
This paper describes the experience of drilling and cementing of a 178 mm liner section using an adapted set of MPD equipment at an oilfield in Russian Federation. The well was drilled in narrow operation window conditions, i.e., the difference between the formation pressure, wellbore stability and the drilling fluid loss pressure, was not sufficient for conventional drilling. Complications occurring in conventional drilling led to increased rig time, additional expenses and, therefore, higher cost of well drilling for the Customer.
To solve these challenges, we used an adapted set of equipment comprising the following: one rotating control device (RCD) to seal the wellhead, one compact automatic choke to maintain backpressure in the annulus, and a precision Coriolis flow meter to measure the drilling fluid flow rate. Such a set of equipment provides all necessary functionality. In addition, it reduces amount of required equipment and has other advantages during mobilization process, rig up, maintenance and spare parts.
Practical Aspects of Discrete Fracture Network Modelling with Neural Network Assisted Integration of Available Data
Authors: Togaev S. E. , Gavrilov A. V. , Abidov K. A. , Frik V. L. 
Published: November 2024

Abstract
The paper describes the approach to modelling a discrete fracture network (DFN) for a gas field in the Republic of Uzbekistan. The Jurassic productive reservoir is confined to hanging wall block in a reverse faulting environment and composed of naturally fractured low porosity carbonate rock. The developed conception of the reservoir fracturing guides integrating all fracture related data in the DFN static model, which is the essential tool for consistent design of the field development. The approach has been developed to correlate the resistivity micro imagers’ fracture density with data from "conventional" logging. The neural network is designed with appropriate parameters (number of layers, neurons, learning rate, etc.) and then trained on datasets of micro imaged wells. The population of the earth model with fracture characteristics is controlled by the complex trend which combines seismic AVAZ-attributes and structural aspects. An ensemble of the DFN realizations has been generated varying distributions of fracture geometry and aperture. The matching of the dual porosity simulation model provided a clue for selecting the appropriate realizations. Fracturing of the reservoir is caused by tectonically induced deformation of the formation. The majority of fractures belong to the zones of major folding axes and curvature peaks of the structure. The fractures’ strikes generally correspond to the directions of those axes. The trained neural network establishes the correlation of "fracture" logging data and "conventional" logging data with R2 factor of &gt;0.90. After ensuring the absence of evident overfitting this value is considered as high enough for justifying the approach implementation. The fractures dip azimuths are defined on the circular "never-ending" range of angles, so the correct treatment of this kind data requires application of vector summation rules at every stage of modelling from well data scaling-up to the DFN generation. To avoid irrational averaging of dispersed dip azimuths within a grid cell, the pile of interpreted conductive fractures for each micro imaged well should be divided into appropriate number of independently modelling sets. Since fracture density data is of heteroscedastic nature, it cannot be distributed in the earth model using only variogram based geostatistical methods. Therefore, it is crucial to establish a trending property for a strict control of a fracture density spatial distribution within the model grid. The neural network approach enables the generalization of a limited number of micro imagers’ fracture densities to a sufficiently wider range of wells characterized solely by "conventional" logging datasets. Since fracture density spatial distribution is usually subject to abrupt lateral changes, any insights on additional independently obtained well fracture density data can significantly enhance the quality of the DFN model.
Optimizing Drilling Operations with Slimhole Sidetracking Techniques: Challenges and Solutions
Authors: Ismayilov Elshan , Mahmudov Gunduz 
Published: November 2024

Abstract
The recent decline in crude oil production has needed more subsurface explorations to sustain and increase oil production in Azerbaijan. Consequently, this necessitated the developing and implementing a new strategy to drill slim hole side tracks from existing wells on a platform facing challenges with declining production and limited new slots. Nowadays, the drilling of slim hole sidetrack wells as a slot recovery technique is one of the most relevant and focused drilling technique. This type of drilling operation differs from conventional drilling methods due to many different operational challenges and limitations.
This case study aims to highlight the successful delivery practices of the dual casing exit slim hole sidetrack projects from the Gunashli field in the Caspian Sea. The paper focuses on sidetracking operation within the smaller casing sizes such as 6-5/8" and 9-5/8" by using design-specific technologies and executing a comprehensive planning strategy to eliminate different operational complexities. The study was aimed to share the experience of how slim hole sidetracking was planned and drilled successfully by managing various operational challenges such as high differential sticking risks, smooth passage of RSS UWD BHA through the window interval due to its stiffness, high loss possibility while drilling through depleted reservoir interval, trajectory control and high dogleg, casing held up due to trajectory complexity, tubular failure, vibration issues and others. It highlights valuable lessons learned and best practices during the re-entry operation, emphasizes measures identified and show the recommended way forward to optimize future operations in similarly complex and challenging wells by minimizing NPTs and eliminating costly remedial operations.
The Potential Lenses Oil Reservoir Discoveries and Exploitation in the Northern United Arab Emirates
Authors: Balhasan S. , Magomadov I. A. , Kassymov T. K. , Iskakov R. , Abdelnabi A. , Uzdieva N. S. , Iskandar B. , Khameiss B. , Al Asfoor M. , Qaysi S. , Abushalah Y. 
Published: November 2024

Abstract
This paper explores the potential of lenses oil reservoirs in the northern United Arab Emirates, emphasizing geological settings, distribution patterns, and prospective oil-bearing capacities. By employing innovative exploration techniques, this study aims to revolutionize the understanding and development of these complex reservoirs. The research investigates the potential of lenses oil reservoirs in the Northern United Arab Emirates, focusing on their geological settings, distribution patterns, and oil-bearing capacities. These reservoirs, characterized by their thin, isolated sand bodies, present unique challenges due to their heterogeneity and complex depositional environments. Through advanced exploration techniques such as high-resolution seismic imaging, well-logging tools, and reservoir simulation, this study highlights the opportunities for unlocking these reservoirs’ potential. The research findings provide strategic insights and recommendations for optimal exploration and recovery practices that can significantly enhance hydrocarbon production in the region
Navigating Technical and Assurance Challenges and Solutions in Joint Ventures: A Case Study of KMG Nabors Drilling Company LLP
Authors: Darab G. , Tleugaliyev S. 
Published: November 2024

Abstract
Effective partnership models are essential in achieving successful project management, productive collaboration, and responsible operations. Each model, whether established via traditional contracting or set up as a joint venture (JV), presents unique technical, personnel and assurance challenges. Because JVs are built on resource pooling and shared expertise, they often contend with complexities in governance, cultural integration, and joint accountability. Addressing these issues requires a strong corporate commitment combined with robust policies and procedures, effective communication strategies and an investment in change management.
This paper explores the methods employed in the successful partnership between Nabors and KazMunayGas (KMG) in the formation of KMG Nabors Drilling Company LLP (KNDC) and illustrates how following those same methods has enabled the JV to grow while educating and training local personnel and maintaining proficient execution of drilling programs. The objective is to present the strategies and models that enabled effective collaboration to create a highly functioning JV and provide examples that demonstrate that this goal was—and continues to be—achieved.
Prediction and Application of Pore Pressure for Carbonate Reservoirs in Zhongjiang–Penglai of China
Authors: Xinyu Guo , Ming Tang , Shiming He , Lu Zou , Yemiao Zhou , Guangfu Zhang 
Published: November 2024

Abstract
The Zhongjiang–Penglai block has a submitted reserve forecast of 20 billion m3 and is a vital guarantee for natural gas resources in the Sichuan Basin. However, the lower carbonate formations in this block have developed pores, caves, and fractures, with weak bearing capacity, frequent drilling leakage, and overflow, making it necessary to perform pore pressure prediction and research in the carbonate formations of the working area. First, a new effective stress model is proposed that comprehensively considers the impact of multiple factors, such as interval transit time, rock density, and formation resistivity. Based on this, a prediction model for pore pressure in carbonate rocks in the Zhongjiang Penglai block was established. Second, three-dimensional (3D) seismic velocity data establishes a 3D geological model of the primary carbonate formations in the Zhongjiang–Penglai block. The sequential Gaussian simulation method is used to obtain the distribution of 3D pore pressure in the primary carbonate formations, and the calculation results are visualized in three dimensions. The model is validated using field-measured data, and the calculated results of the single well prediction model for carbonate rock pore pressure were in good agreement with the measured and actual drilling results, with errors ranging from -7.35% to 5.87%. The 3D pore pressure model for the primary carbonate formations correlates well with the single well prediction model, and both have the same trend of change. The new pore pressure model established in this study can accurately predict the pore pressure of carbonate formations, providing strong support for the safe and efficient exploration of deep oil and gas resources in the Zhongjiang–Penglai block.
Prevalence and determinants of HIV Testing-Seeking Behaviors Among women of Reproductive age in Tanzania: Analysis of the 2022 Demographic and health survey
Authors: Asingwire Jackson Micheal , Isiko Isaac , Rombe Kuli Faith , Mwesigwa Aaron , Ikwara Emmanuel Asher , Olot Haron , Okoro Lenz Nwachinemere , Izunwanne Manankong Jane Precious , Agunwa Blessing Onyinyechi , Bwana Abdul Aziiz , Kalemba William Yiga , Anyamene Ebuka Louis 
Published: November 2024

Abstract

Aim: HIV remains one of the major epidemics and public health concerns within low and middle-income countries such as Tanzania. This study aimed to assess the prevalence and the factors associated with HIV testing-seeking behaviours among women of childbearing age in Tanzania.
Methods: This was a cross-sectional national survey that was conducted in 2022 in Tanzania by the ministries of health of mainland Tanzania and Zanzibar. The 2022 TDHS-MIS employed Household, Women’s Questionnaire, Men’s Questionnaire, the Child Health Questionnaire and the Micronutrient Questionnaire. All the data analysis and cleaning were done using STATA version 17 at a significance level of p < 0.05 and 95% CI.
Results:This study included 2531 women with 2354 having ever tested for HIV while 177 had never tested for HIV. Not employed [AOR:0.35, CI (0.20-0.61)] has lower odds of HIV testing than All-year employed status. Rural residents have reduced odds of HIV testing [ AOR:0.43, CI (0.21-0.88)] compared to women living in urban areas. Those able to ask their partner to use a condom are more likely to have been tested with increased odds [ AOR: 3.52, CI (2.31-5.37)]. Participants with a history of genital discharge [ AOR:4.30, CI (1.28-14.46)] and those who don’t know their genital discharge history have [ AOR: 0.20, CI (0.07-0.55)] are significant for HIV testing. Women who have heard about PrEP but are not uncertain about its approval [AOR: 36.07, CI (3.33-390.25)], respondents who have tested before with HIV testing kits [ AOR:35.99, CI (4.00-324.13)] and women who are aware of HIV testing kids but never tested with them before [ AOR: 2.80, CI (1.19-6.58)] are predictors of HIV testing seeking behaviours.
Conclusion: Unemployed individuals, Participants able to discuss condom use with their partners, women with recent genital symptoms, such as discharge, living in rural areas, and being aware of and use of HIV test kits are associated with HIV testing among women. This suggests barriers tied to economic and geographic factors calling for interventions such as open communication among couples, improved health care delivery in rural areas hence improving testing access, increasing awareness of prevention methods, and fostering communication within relationships can effectively enhance HIV testing rates in the communities.
Fast simulation of the Zero Degree Calorimeter responses with generative neural networks
Authors: Wojnar Maksymilian , Majerz Emilia , Dzwinel Witold 
Published: November 2024

Abstract

Applying machine learning methods to high-energy physics simulations has recently emerged as a rapidly developing area. A prominent example is the Zero Degree Calorimeter (ZDC) simulation in the ALICE experiment at CERN, where substituting the traditional computationally extensive Monte Carlo methods with generative models radically reduces computation time. Although numerous studies have addressed the fast ZDC simulation, there remains significant potential for innovations. Recent developments in generative neural networks have enabled the creation of models capable of producing high-quality samples indistinguishable from real data. In this paper, we apply the latest advances to the simulation of the ZDC neutron detector and achieve a significant improvement in the Wasserstein metric compared to existing methods with a low generation time of 5 ms per sample. Our focus is on exploring novel architectures and state-of-the-art generative frameworks. We compare their performance against established methods, demonstrating competitive outcomes in speed and efficiency. The source code and hyperparameters of the models can be found at https://github.com/m-wojnar/zdc.