bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thrust ball bearing fault identification from visualized data using optimized deep network
Authors: Evanchalin S. Mary , Milton T. , Tamil Selvi F. M. , Chaudhari Anagha , Mogra Ashish 
Published: September 2024

Bearings are the most common components employed in machine parts. The bearings' movement facilitates the smooth motion. They also help with friction reduction. The faults in bearings are often caused by tribological parameters. Various methods have been developed to identify faults in bearings, but they often fail to predict these accurately. This work has concentrated on designing an effective fault-recognizing model. Therefore, a framework, the Zebra-based Radial Basis Prediction Mechanism (ZbRBPM), was proposed in this work. Initially, the bearing datasets are collected, and mineral oil (MO) lubrication is added to minimize wear and friction. The primary goal of the work is to detect and classify the fault in the thrust ball bearing. The bearing vibration data included a normal vibration signal, a ball fault, and inner and outer race faults. Hence, Zebra fitness is enhanced for the optimization of tribological parameters and fault identification. The proposed model is executed in the MATLAB system. Finally, performance criteria like accuracy, precision, recall, F-score, error rate, computation time, speed, specific wear rate, friction torque, and energy consumption are validated. The performance of the proposed ZbRBPM gains better accuracy rate as 99.5 %, 99 % of precision and f-score and 99.4 % of recall. Also it significantly reduced the prediction error rate into 0.5 % with lower computation time and very low wear and friction.
Staffing of anaesthesiology and resuscitation services in obstetric hospitals the Russian Federation
Authors: Guseva E. V. , Filippov O. S. , Ketskalo M. V. , Ganieva A. R. , Kulikova E. V. 
Published: September 2024

Introduction. One of the strategies for reducing maternal mortality is to improve the provision of medical care to pregnant women, women in labor and maternity hospitals in need of intensive care. Sufficient provision of anesthesiology and intensive care units of maternity institutions with highly qualified personnel is the most important factor determining the availability and quality of medical care for women. The purpose of the study: to analyse the staffing of the anaesthesiology and resuscitation services of obstetric hospitals in the Russian Federation. Materials and methods. Based on the data of 83 subjects of the Russian Federation, the indicators of staffing (per 10,000 women of fertile age) with anaesthesiologists-resuscitators (for 2007–2022) and nurses anaesthesiologists (for 2021–2022), staffing levels and compatibility ratios of anaesthesiologist-resuscitators and nurses anaesthesiologists in obstetric hospitals of group II and III (level) (for 2022) in the Russian Federation, federal districts and subjects of the Russian Federation were analysed. Based on data from 29 subjects of the Russian Federation (for 2021), the average age of anaesthesiologists-resuscitators and nurses anaesthesiologists working in obstetric hospitals was analysed. Results. In 2007–2022, the number of anaesthesiologists-resuscitators in obstetric hospitals of the Russian Federation increased by 27.2 %, and the availability of anaesthesiologists-resuscitators (per 10,000 women of fertile age) increased by 43.9 %. The number of nurse anaesthesiologists in obstetric hospitals in 2021–2022 increased by 0.8 %, the availability of nurse anaesthetists (per 10,000 women of fertile age) decreased by 0.8 %. In 2022, the staffing level of anaesthesiologists-resuscitators in obstetric hospitals of Group II was 85.6 %, Group III – 86.0 %, and nurses anaesthesiologists – 87.8 % and 88.4%, respectively. The compatibility rate of anaesthesiologists-resuscitators in obstetric hospitals of group II was 1.42, group III – 1.53, and nurse anaesthesiologists – 1.23 and 1.34 respectively (2022). The average age of anaesthesiologists-resuscitators working in obstetric hospitals was 43.3 ± 4.3 years, nurse anaesthesiologists – 42.1 ± 3.9 years (2021). Conclusion. In order to eliminate staff shortages, it is necessary to implement measures to attract medical staff in the anaesthesiology and resuscitation services of obstetric institutions, which will decrease the burden on medical staff and prevent maternal deaths.
Assessment of “Knowledge, attitudes and practice” of the population of the Republic of Tajikistan regarding COVID-19
Authors: Muhsinzoda G. M. , Ruziev M. M. , Mirzoaliev Y. Y. , Jafarov N. J. , Tursunov R. A. 
Published: September 2024

Introduction. Despite the high level of vaccination, some groups of the population still lack reliable information about vaccines and resources with which to familiarize themselves with it. Social and behavioral changes are a key element of an effective response to COVID-19, such as increasing the level of knowledge of the population through the dissemination of information and educational materials on vaccination of the population against coronavirus infection. The purpose of the study: to assess the level of knowledge about COVID-19, behavioral practices, as well as attitudes towards vaccination and other ongoing anti-epidemic measures among the population of the Republic of Tajikistan. Materials and methods. The study was conducted by the NGO “Subhi Tandurusti” from February to May 2024. To assess the level of respondents in the Knowledge, Attitudes and Practices survey regarding issues related to COVID-19, a questionnaire survey was conducted using a specially designed questionnaire. The study involved 2,500 respondents from 15 different districts and cities of the republic. Results. About 93 % of respondents (n = 2322) correctly answered this question regarding modes of transmission of the virus, indicating a high level of awareness of modes of transmission of COVID-19. Relatively high rates of correct answers were recorded to the question “Is it possible to get sick with COVID-19 several times?” 69.5 % of respondents (n = 1737) answered this question correctly, indicating an understanding that it is possible to get sick with COVID-19 several times. Attitude of respondents regarding the safety and effectiveness of vaccination: 78.3 % of respondents (n = 1957) expressed confidence in its safety, 11.3 % (n = 282) did not know the answer, and 10.4 % (n = 261) did not consider the vaccine safe. 2,430 people (97.20 %) have already received the full course of vaccination against COVID-19, 42 people (1.68 %) have only received the first dose of the vaccine and are planning to receive the second. The most popular source of information about COVID-19 was television programs – 44.0 % of respondents (n = 1101), followed by information materials (25.2 %, n = 631) and the Internet, including websites and social networks (22.8 %, n = 571). At the same time, 75.6 % (n = 1889) of respondents rated information and educational materials about COVID-19 as very useful and reliable. To the question “Have you been tested?”: 639 people (25.6 %) “never” got tested, 588 (23.5 %) “often” and 461 (18.4 %) “always” got tested. Conclusion. The results of the study showed that the interviewees had sufficient knowledge about COVID-19, including the transmission of the virus through various routes and clinical symptoms of the disease, as well as the importance of vaccination. Public health initiatives help better protect public health during emergencies such as infectious disease pandemics.
The Evolution of the Land Drilling Rig
Authors: Wright Blake 
Published: October 2024

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The earliest land rigs used materials like bamboo and iron and were powered by animals such as horses or oxen. These rigs used percussive drilling to create the bore, repeatedly raising and dropping heavy iron bits—effective but slow. By the time Edwin Drake was drilling the Titusville well in 1859, steam engines had been introduced to help power now metal pipe down into the Earth’s crust. By the 1950s, steam-powered rigs gave way to diesel engines. The 1960s would see the advent of self-elevating rigs—the transition from derricks to mast. During the 1970s, electrical power using on-site generators was introduced to drive systems on the rig, and the advent of new downhole tools would allow drillers to directionally drill while maintaining rotation. In the mid-1980s, the first steerable drilling system was introduced.
Soon, the evolution would move from the drill floor and downhole into the doghouse (driller’s cabin). Gone were the mechanical hand brakes and foot pedal systems, replaced by touchscreens and joysticks. The land rig has come a long way.
Hoisting capability and rig-up requirements were key drivers in the design of older units rather than an ability to store materials and move. Older rig-floor configurations were modified to accommodate pipe-handling equipment instead of designed to integrate pipe-handling equipment. These units were not driven by location sizes nor multiwell pad capabilities.
Most of this would change with the coming of the new millennia, and by 2010, it would seem like new innovations would be integrated into land rig design every year—from larger variable skid systems allowing for pad and batch drilling to app-based automation driving efficiency and safety profile.

Topdrives? Onshore?
Most of what drove innovation in land rigs can be traced back to development in the offshore sector. Much of what would become standard technology on land had its roots offshore, starting with one of the most important technology transfers of the 1990s—topdrives.
Technology Focus: Artificial Lift (October 2024)
Authors: Romer Michael 
Published: October 2024

Summer blockbuster season has passed, but it’s always nice to grab a bucket of popcorn and escape reality with a movie. Some movies even teach lessons—as in, sometimes it takes hard work and incremental improvements to advance. Chugging raw eggs, sprinting steps, and boxing meat slabs in epic training montages can be effective (Rocky), but so can optimization with computational flow dynamics. Paper IPTC 24243 shows that redesign of a jet pump sliding-sleeve coupling can considerably reduce pressure losses and increase throughput.
The scientific method can even be exciting. Who doesn’t enjoy hypothesizing, experimenting, measuring, cleaning records, analyzing, and scaling up—especially if it pays off with a huge computer-generated explosion in the desert (Oppenheimer)? Paper SPE 218124 demonstrates the benefits of digitizing and analyzing operational data from electrical submersible pumps (ESPs) to improve run life and profitability. Paper OTC 34898 describes a comprehensive testing program to qualify load-bearing ESP deployment cable for corrosive conditions.
Sometimes an overly precise plan draws us to the edge of our seats. The protagonist has recruited a crew of experts, rehearsed obsessively, ensured that every loose end has been tied, and yet some unknown still (temporarily) derails the vault raid (Ocean’s Eleven). Paper SPE 218028 attempts to bypass chance and minimize production interference by orchestrating a network of intermittently gas lifted wells.
Is physics limiting what you can do? Then change the rules. You could move existence into a computer simulation (The Matrix) or perhaps start over with a novel material. Paper IPTC 23949 introduces fiber-reinforced thermoplastic sucker rods to accomplish more with less.
Who doesn’t enjoy a quality sequel? There must be an infinite number of things that can be jumped with a car (The Fast and the Furious). Paper SPE 215010 analyzes failures of gas lift valves retrieved from subsea wells and could be considered a follow-up to paper OTC 30943, an artificial lift paper featured in 2021.
Closure also can satisfy, even if it’s just the final act for a high school chemistry teacher with a side gig (Breaking Bad). With that in mind, it’s been an honor and a pleasure to pen the Artificial Lift Technology Focus page these past few years. I look forward to seeing who the directors cast next for this character.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 218124 Digitalizing the Management of Electric Submersible Pump Failures Through Failure Prevention and Post-Mortem Analysis Tools by Michael Ellsworth, Suncor Energy, et al.
SPE 218028 Optimization of Gas-Injection Network Using Genetic Algorithm: A Solution for Intermittent Gas Lift Wells by Ankit Garg, Oil and Natural Gas Corporation, et al.
IPTC 24243 Increasing Oil Production With Jet Pumps by Reducing Pressure Losses in the Jet
Pump/Sliding Sleeve Coupling by J. Soria, Sertecpet, et al.
Technology Focus: Data Analytics (October 2024)
Authors: Yang Junjie 
Published: October 2024

In recent years, advancements in artificial intelligence, particularly the revolutionary applications of deep-learning-based computer vision and large language models, have significantly affected the oil and gas industry. These technological developments have underscored the growing importance and diversity of data analytics across various aspects of the industry’s daily operations.
Maintaining this momentum, data analytics practitioners in the industry have reexamined existing workflows and realized the substantial benefits that artificial intelligence brings, including increased efficiency and expedited turnaround times.
Organizations have allocated resources to develop a big-data-driven, multidisciplinary platform that leverages artificial intelligence and machine learning to enhance rapid and robust decision-making in asset management and risk mitigation. Integrated data-management platforms use both proprietary data and public domain data to streamline and automate processes that otherwise could be tedious and time-consuming.
Successful case studies have been shared in the literature on topics such as candidate screening and production forecasting. A prominent area of focus garnering extensive attention is the integration of artificial intelligence and domain knowledge, exemplified by physics-informed machine learning.
Several innovative workflows using proxy or surrogate models in conjunction with machine learning and deep learning have been published. These workflows demonstrate promising test cases that extract valuable insights from physics-based modeling results and provide production forecasts through a statistical approach. Undoubtedly, we can anticipate a surge in research and publications on this topic in the coming years, which will contribute significantly to reshaping our industry.
As advancements in generative artificial intelligence and big data continue to accelerate, swiftly adapting and pivoting toward digital transformation will be essential in the emerging digital era.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 217665 Well Construction in the Era of Big Data: It’s Not Data Analytics, It’s Engineering With Data by G.S. Payette, ExxonMobil, et al.
IPTC 24126 Deep-Learning-Based Long Short-Term Memory for Production Data Analysis of Hydraulically Fractured Wells by Fengyuan Zhang, China University of Petroleum-Beijing, et al.
URTeC 3857064 Application of Data Analytics to Chemometric Analysis of Conventionally Produced Oil Samples From the Delaware Basin by Timothy Carpp, Texas A&M University, et al.
Forecasting extremes of football players' performance in matches.
Authors: Nowak Michal , Bok Bartosz , Wilczek Artur , Kamola Mariusz , Oleksy Łukasz 
Published: October 2024

Abstract

Based on training history, accurate predictive modelling of an athlete's performance in competition can be a cornerstone for prior optimal planning of exercise mix and intensity. While universal in many sports, such a goal is challenging in football due to the complexity of factors leading to the final score and the complexity of the preceding training process. We developed and tested a range of models, the best of which were to forecast selected play performance indices with an accuracy of 10-20%. Such score applies to models run on raw player location data and aggregating performance indices developed with expert knowledge in the football training domain. Results show that individual player models perform better than collective ones and that more recent training data are better predictors. While we consider the accuracy of the models still of limited reliability, their transparency and present quality make them useful in the daily planning of training activities that impact player performance in the coming match. Additionally, observations of training parameters generated in short-term intervals are more effective and correlated with extreme match results than long-term dates. Specific training parameters may be key in predicting exceptional football player performance, but they may also vary from person to person.
Microbial colonization effects on drag in suspended sediment transport
Authors: Xu Fan , Zhang Naiyu , Li Haochen , Thompson Charlotte , Townend Ian , He Qing 
Published: October 2024

Abstract

The dynamic interplay between microbial communities and sediment transport shapes continental landscapes and influences particulate matter fluxes across the Earth’s surface. Microbial colonization, with its ubiquitous presence, transforms individual sediment grains into aggregates with intricate and varied morphologies, making sediment transport prediction difficult. Consequently, current models often simplify this morphological complexity, assuming that aggregates experience fluid drag equal to that of smooth spheres or idealised shapes. To test this hypothesis, we applied a novel microscopic methodology, enabling a high-resolution investigation of drag across diverse aggregates. In contrast to the prevailing paradigm that recognizes the aggregate size or gross shape as the primary controls, we discovered a critical yet previously overlooked mechanism: microbial colonization significantly alters the fine-scale aggregate morphology, increasing drag by factors of 1–4 compared with smooth surfaces. We propose a morphology-corrected drag law that accounts for this complexity, reconciling the differences in drag across diverse aggregates. Our findings shift the focus from size or gross shape variability to fine-scale morphologies, enabling greater accuracy in transport predictions, promoting new measurement strategies, and marking a transformative step in conceptualizing microbially colonized aggregates in fluvial, coastal and oceanic systems.
Educational Opportunities and Barriers to Learning During Post-Take Ward Rounds. A Systematic Review.
Authors: Babiker Alwathig , Bello Jibril 
Published: October 2024

Abstract

Background: Bedside teaching is essential to medical education and is considered an effective method for teaching technical and nontechnical skills. The post take ward round (PTWR) is often the first review of patients’ presentations, diagnoses, and management plans and serves as a teaching forum. Although PTWRs are vital in inpatient care, their educational values remained under-researched. This review aims to identify educational opportunities and barriers to learning during PTWRs.
Methods: The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A search was conducted in bibliographic databases, PubMed, Medline, the Cochrane Library, Scopus Web of Science, the Cumulative Index to the Nursing and Allied Health Literature (CINAHL), Embase, PsycINFO, and Google Scholar, and 14 articles were identified and appraised by the Medical Education Research Study Quality Instrument (MERSQI). A modified Kirkpatrick's framework was used to guide data extraction. Themes about learning were identified, integrated, and presented in evidence tables.
Results: The highest and lowest MERSQI scores for individual studies were 13.5 and 6.5, respectively. The MERSQI mean score for the included studies was 10.08 (SD 1.82). Thirteen studies (92.8%) reported Kirkpatrick’s level 1(Reactions), 12 (85.7%) reported level 2 (knowledge, skill, and attitude), 7 (50%) reported level 3 (Behaviour), and only 2 (14.2%) reported level 4 (outcomes). Clerking and presentation, using pre- and post-round times for discussions, questioning, demonstration, and active participation, were perceived as educational opportunities. However, time pressures, workload, a lack of feedback, and inadequate preparation and engagement are barriers to learning.
Conclusion: PTWRs are opportunities to learn nontechnical skills. They improve knowledge and skills related to diagnostic tests and care escalation. Learning during PTWRs requires preparation, engagement, attention to active participation, a feedback culture, role modelling, and team structure.
Double Trouble-Hyperhomocysteinemia and Lipoprotein(a) Induced Myocardial Infarction in Very Young - A Case Report
Authors: Saha Rupendra , DUGGAL BHANU , CHAWLA RAGHURAJ 
Published: October 2024

Abstract

Background
Acute coronary syndrome is a category that includes unstable angina, non-ST-elevation myocardial infarction (NSTEMI), and ST-elevation myocardial infarction (STEMI). Currently, the most significant cause of death globally is coronary artery disease. It is generally not suspected in a young person, especially without a significant family history. Hyperhomocysteinemia and high lipoprotein(a) are important risk factors and can be used in screening tools.
Case presentation
A 23-year-old male presented with an evolved anterior wall myocardial infarction, which was confirmed by ECG findings and Echocardiography findings. Subsequent coronary angiography was suggestive of a Single vessel with branch vessel disease, which was successfully revascularised with bifurcation stenting. OCT study of the lesion was suggestive of fibro atheromatous lesion with thrombosis. On workup, high lipoprotein(a) and hyperhomocysteinemia were found to be the risk factors for his disease.
Conclusion
Thus, Lipoprotein(a) and familial hyperhomocysteinemia may not always be associated with a family history of young ASCVD and are important risk factors for screening Intracoronary imaging should be used liberally to understand pathophysiology of the disease and also optimising interventions in such cases
Differential impacts of jogging and rope skipping in college students in China: a randomized controlled trial
Authors: Chen Yuxuan , Wu Junjie , Xu Zhuo , Chen Rucheng , Sun Qinghua 
Published: October 2024

Abstract

Studying the differential effects of jogging and rope skipping provides useful insights for teens, adolescents, and even adults to make choices and maintain healthy physical activities, which may also have positive significance for the promotion of public physical fitness and health. A total of 92 college students were enrolled in the study and randomly divided into jogging group, rope skipping group and control group. Tests and questionnaires were conducted before and right after the intervention, and a questionnaire survey was conducted again half a year after the intervention. The results showed that the standing long jump performance and the cardiopulmonary function in the jogging group were significantly improved after the intervention. The scores of 800 or 1,000 meters and the total scores of physical test in the rope skipping group and the control group were decreased significantly. The improvement of standing long jump performance in the jogging group was significantly higher than that in the control group. Jogging have more positive significance for physical fitness and cardiopulmonary function maintenance and improvement. If you want to improve your physical fitness in a shorter period of time, then jog.