bluuebunny/crossref_metadata_2025_split huggingface dataset:
Establishing a Validation Process for Survey Correction Algorithms
Authors: Albright J. 
Published: February 2024

Abstract
The objective of this research is to establish a validation process for survey correction algorithms, primarily focusing on the application of Multi-Station Analysis (MSA). While MSA represents a mathematical approach to survey error reduction, the application can result in varying levels of achieved accuracy. The adoption of a validation process to assess the accuracy of an MSA provider’s algorithm and processes would provide a framework within which to evaluate different providers.
The research will give an overview of the error sources in the ISCWSA error model and their impact on MWD surveys. A simulated well with survey depths and six-axis data will give a true known position of a well’s bottom hole location. Using the error model, randomized errors will be applied to the six-axis values to create a corrupted bottom hole location. A 3rd party proctor will distribute the corrupted six-axis data of 12 wells in varying azimuthal directions to the MSA provider to process through their algorithm. The corrected wellbore position will be returned to the proctor.
A chi-squared analysis of the results will show if the corrected wellbore positions fall within the expected accuracy level based on the error model. Companies will be assessed on both speed and accuracy. The results of the validation trial will establish the accuracy level that the MSA provider is able to achieve under given circumstances. The levels will be determined using wells inside and outside of the East-West Exclusion zone. The validation process will provide clarity to which error models should be assigned to a set of survey data when using a particular provider. For example, a certain provider might be able to achieve MWD+IFR1 accuracy as opposed to MWD+IFR1+MS under certain conditions. Whether or not checkshots are necessary will also be assessed during the validation process. Additionally, only error sources contained in the ISCWSA error model will be evaluated, and the magnitudes will be within the bounds of what can be reasonably expected in field application. Validation is widely accepted across many industries, including the aerospace and pharmaceutical industries, as a benchmark to ensure the safety of those using their products. As for MSA, improper application could cause inaccurate well placement resulting in well-collisions, or unknowingly crossing lease lines.
When planning a well, an Oil & Gas company will be able to determine which MSA provider is qualified to provide accurate services based solely on the azimuthal direction of their wellbore and the target error model that they would like to achieve. The validation process will provide transparency to the MSA survey correction process and allow Oil & Gas companies to ensure that the purchased product is meeting the advertised accuracy level.
Maximizing Cut and Pull Casings for Plug and Abandonment
Authors: Samuel Robello 
Published: February 2024

Abstract
Plug and abandonment activity is expected to increase and remain an active service as wells need to be permanently abandoned and/or enable slot recovery. Throughout the life of a well, degradation of the mud system in the annulus can lead to migration of mud solids, which settle at areas of high deviation or increased dogleg severity or at above the top of the cement. In this process strong engineering model is needed in addition to the logging runs to maximize the length of the cut casings, to establish higher accuracy to estimate the cutting depth. Increased reliability for Cut and Pull in a single cut/trip is needed so that it provides safety to avoid flowing fluids to mitigate barrier breakdown. Cut and pull the casing pipe conditions require fast and accurate response. This paper describes an analytical model through which drag calculations are modified to determine: the force at the deepest cut point within the given limits of the pipe conditions; the measured weight or overpull within the margin required to pull; the measured weight required pull at any depth. The total drag is the sum of the mechanical frictional forces acting on the casing during the pull operation and the fluid frictional forces due to the fluid contact with the inside and outside of the casing. In addition, any solids packed around the casing will exert a frictional force with the outside of the casing. Kinetic friction and shear force required to break the bonding are also included. The percentage of solids and sediments and length of the contaminants are estimated through logs.
Supervised Machine Learning Applied to Cement Integrity Assessment – A Comparison Between Models and Feature Extraction Techniques
Authors: Ferreira G. R. B. , Camerini I. G. , Rodrigues A. S. , Correia Tiago M. , de Souza L. P. B. , Hidalgo J. A. S. , Penatti J. R. R. , Soares L. N. A. C. 
Published: February 2024

Summary
The analysis of the interpretation of the integrity of the bond of the cement layer between the casing and the formation in oil wells has grown significantly as plugging and Abandonment operations also grow. Interpreting this analysis is important to ensure that the well is hydraulically isolated from the surrounding environment before permanently sealing the well. However, this interpretation depends on a specialist's ability to analyze a large demand of data, which is complex and acquired through logging operations. This fact makes this process prone to errors, human dependence, and time-consuming. These three challenges motivated Ouronova, in partnership with Repsol Sinopec Brazil, to develop software to help interpret acoustic profiling. Also inspired by the objective of optimizing the Plugging and Abandonment operations completely, the software also optimizes the planning and management of Plugging and Abandonment campaigns. The so-called plug and abandonment (P&A) Assistant software has proven to be a good tool that optimizes the Plugging and Abandonment process, using machine learning (ML) techniques to improve the accuracy and reliability and reduce the time for cement sheath integrity analysis. This paper then presents some supervised method techniques implemented in the software, such as Logistic Regression, k-Nearest Neighbors, Decision Trees, Random Forest, and Gaussian Naive Bayes. The results show that combining features derived from Cement Bond Log and Acoustic Impedance Log enables the construction of efficient models. The Gaussian model was the one with the best overall performance, achieving a Balanced Precise Accuracy equal to 0.50 and a Balanced Adjacency Accuracy around 0.88.
Multiscale Model for Hydrogen Transport and Storage in Shale Reservoirs
Authors: Wang Yanwei , Sun Qian , Chen Fangxuan , Wang Meng 
Published: February 2024

Summary
Utilizing underground geological structures for hydrogen storage is an effective approach for energy transformation. The depleted shale reservoirs can be considered as promising options for large-scale hydrogen storage because of the vast storage capacity, high containment security, and low operation cost. However, it is challenging to characterize the hydrogen transportation mechanism and estimate hydrogen storage potential in shale formations from multiscale perspectives. In this paper, we propose a multiscale model for hydrogen transport and storage in partially depleted hydraulically fractured shale reservoirs, considering the effects of gas diffusion, adsorption, slip flow, and continuous flow. By the Laplace transformation and Pedrosa substitution, a computationally effective semi-analytical solution was derived and validated with a commercial numerical simulator. A hydrogen storage capacity (HSC) assessment workflow is proposed using a typical shale reservoir in the Appalachian Basin as a case study. The results indicate that the storage capacity can reach up to 31.92×108 m3 at a high constrained injection pressure. In addition, the HSC is strongly controlled by the adsorption property, diffusion coefficient, shale composition, flow capacity between different scale media, and mobility ratio. The influence of most reservoir parameters on storage potential is negligible at low constrained pressure but critical at high constrained pressure. Such a model can be used as a robust pressure predictor and storage capacity estimator for hydrogen storage projects in partially depleted shale reservoirs.
Binding of LncRNA-DACH1 to dystrophin impairs the membrane trafficking of Nav1.5 protein and increases ventricular arrhythmia susceptibility
Authors: Pan Zhenwei , Xue Gen-Long , Yang Jiming , Zhang Yang , Yang Ying , Zhang Ruixin , Li Desheng , Tian Tao , Zhang Xiaofang , Li Changzhu , Li Xingda , Yang Jiqin , Shen Kewei , Guo Yang , Liu Xuening , Yang Guohui , Lu Yanjie , Yang Baofeng 
Published: February 2024

Abstract

Dystrophin is a critical interacting protein of Nav1.5 that determines its membrane anchoring in cardiomyocytes. Long noncoding RNAs (lncRNAs) are involved in the regulation of cardiac ion channels, while their influence on sodium channel remains unexplored. Our preliminary data showed that lncRNA-Dachshund homolog 1 (lncDACH1) can bind to dystrophin, which drove us to investigate if lncDACH1 can regulate sodium channel by interfering with dystrophin. Western blot and immunofluorescent staining showed that cardiomyocyte-specific transgenic overexpression of lncDACH1(lncDACH1-TG) reduced the membrane distribution of dystrophin and Nav1.5 in cardiomyocytes. Meanwhile, peak INa were reduced in the hearts of lncDACH1-TG mice than wild-type (WT) controls. The opposite data of western blot ,immunofluorescent staining and patch clamp were collected from lncDACH1 cardiomyocyte conditional knockout (lncDACH1-cKO) mice. Moreover, increased ventricular arrhythmia susceptibility was observed in lncDACH1-TG mice in vivo and ex vivo. The conservative fragment of lncDACH1 inhibited membrane distribution of dystrophin and Nav1.5, and promoted the inducibility of ventricular arrhythmia. Strikingly, activation of dystrophin transcription by dCas9-SAM system in lncDACH1-TG mice rescued the impaired membrane distribution of dystrophin and Nav1.5, and prevented the occurrence of ventricular arrhythmia. Furthermore, lncDACH1 was increased in transaortic constriction (TAC) induced failing hearts, which promoted the inducibility of ventricular arrhythmia. And the expression of lncDACH1 is regulated by hydroxyacyl-CoA dehydrogenase subunit beta (hadhb), which binds to lncDACH1 and decreases its stability. The human homologue of lncDACH1 inhibited the membrane distribution of Nav1.5 in human iPS-differentiated cardiomyocytes. The findings provide novel insights into the mechanism of Nav1.5 membrane targeting and the development of ventricular arrhythmias.
Protocol for a systematic review with meta-analysis and trial sequential analysis of preventive interventions versus any control intervention for parents with a mental disorder on offspring outcomes
Authors: Hestbaek Emilie , Kofoed Jeanne , Barlow Jane , Thorup Anne Amalie Elgaard , Sleed Michelle , Simonsen Sebastian , Georg Anna , Væver Mette MV , Juul Sophie 
Published: February 2024

Abstract

Background: Offspring of parents with a mental disorder are at high risk of developing a mental disorder and experiencing other adverse outcomes, highlighting the need for preventive interventions. However, it remains uncertain to what extent these interventions are effective in reducing offspring’s risk of developing mental disorders and other important outcomes. The main objective of this systematic review will be to assess the effects of preventive interventions versus any control intervention for parents with a mental disorder on offspring outcomes.
Methods/design: A systematic review with meta-analysis will be performed and reported as recommended by Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), bias will be assessed with the Cochrane Risk of Bias tool-version 2 (ROB2), an eight-step procedure will be used to assess if the thresholds for clinical significance are crossed, trial sequential analysis will be conducted to control for random errors, and the certainty of the evidence will be assessed with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. To identify relevant trials, we will search for published trials in several electronic databases from their inception to the present. We will also search for unpublished trials and grey literature. Two review authors will independently screen the articles, extract data, and perform a risk of bias assessment. We will include any published or unpublished randomized clinical trial comparing a psychological preventive intervention versus any control intervention for parents with any mental disorder. The primary outcomes, which will be assessed in the offspring only, will be quality of life and incidence of a mental disorder. Secondary outcomes will include internalizing symptoms, externalizing symptoms, serious adverse events, out-of-home placement, and absence from school or daycare. Exploratory outcomes include trauma, socioemotional development, and language development.
Discussion: There is an urgent need for a comprehensive, updated systematic review of the beneficial and harmful effects of preventive interventions for children with parents with a mental disorder. The findings of this systematic review are expected to provide evidence-based information for policymakers, clinicians, and researchers to help them make informed decisions about the most effective interventions and guide future research for this highly prevalent population. Systematic review registration: PROSPERO: CRD42023463421
Improving Diabetes Equity and Advancing Care (IDEA) to optimize team-based care at a safety-net health system for Black and Latine patients living with diabetes: study protocol for a sequential, multiple assignment, randomized trial
Authors: Jacobs Jacquelyn , Labellarte Patricia , Margellos-Anast Helen , Garcia Lizbeth , Qeadan Fares , Dougherty Alyn , Wagener Christina 
Published: February 2024

Abstract

Background: Diabetes is the eighth leading cause of death in the United States. Inequities driven by structural racism and systemic oppression have led to racial/ethnic disparities in diabetes prevalence, diagnosis, and treatment. Diabetes-self management training (DSMT), remote glucose monitoring (RGM), and tailored support from a community health worker (CHW) have the potential to improve outcomes. This study will examine the implementation of these interventions in a safety-net healthcare setting.
Methods: Using implementation science and racial equity principles, this study aims to (1) evaluate the appropriateness; (2) measure fidelity; and (3) compare the effectiveness of varying the combination and sequence of three interventions. An exploratory aim will measure sustainability of intervention adherence and uptake. This mixed-methods trial employs a sequential, multiple assignment randomized trial (SMART) design, patient focus group discussions, and staff interviews. Eligible Black/Latine patients will be recruited using patient lists extracted from the electronic medical record system. After a detailed screening process, eligible patients will be invited to attend an in-person enrollment appointment. Informed consent will be obtained and patients will be randomized to either DSMT or RGM. At six months, patients will complete two assessments (diabetes empowerment and diabetes-related distress), and HbA1c values will be reviewed. “Responders” will be considered those who have an HbA1c that has improved by at least one percentage point. “Responders” remain in their first assigned study arm. “Nonresponders” will be randomized to either switch study arms or be paired with a CHW. At six months participants will complete two assessments again, and their HbA1c will be reviewed. Twelve patient focus groups, two for each intervention paths, will be conducted along with staff interviews.
Discussion: This study is the first, to our knowledge, that seeks to fill critical gaps in our knowledge of optimal sequence and combinations of interventions to support diabetes management among Black and Latine patients receiving care at a safety-net hospital. By achieving the study aims, we will build the evidence for optimizing equitable diabetes management and ultimately reducing racial and ethnic healthcare disparities for patients living in disinvested urban settings.
Trial registration: ClinicalTrials.gov: NCT06040463. Registered on September 7, 2023.
Developing hazard scenarios from monitoring data, historical chronicles and expert elicitation: case study of Sangay volcano, Ecuador
Authors: Bernard Benjamin , Tadini Alessandro , Samaniego Pablo , Bevilacqua Andrea , Vasconez Francisco J , Aravena Alvaro , Vitturi Mattia de’ Michieli , Hidalgo Silvana 
Published: February 2024

Abstract
Sangay volcano is widely considered as one of the most active volcanoes worldwide. Nevertheless, due to its remote location and low-impact eruptions, its eruptive history and hazard scenarios are poorly constrained. In this manuscript, we addressed this issue by combining an analysis of monitoring data and historical chronicles with expert elicitation. The first allowed us to reconstruct the eruptive history of the last 400 years, subdividing it into periods of quiescence, weak and enhanced eruptive activity, punctuated by eruptive pulses. Expert elicitation enabled us to constrain the probability of occurrence and eruption source parameters for eruptive pulses, with a quantification of uncertainty. Sangay volcano has been mainly active since the 17th century, with weak eruptive activity the most common regime, although there have also been several periods of quiescence. During this period, eruptive pulses with VEI 1-3 occurred mainly during enhanced eruptive activity and produced far-reaching impacts due to ash fallout to the west and long-runout lahars to the south-east. Four eruptive pulse scenarios were considered in the expert elicitation: strong ash venting (SAV), violent Strombolian (VS), Subplinian and Plinian. The SAV scenario is considered the most likely event and is opposed to the Plinian scenario. The experts expressed great uncertainty about the probability of occurrence of the VS and Subplinian scenarios. Large uncertainties were also observed for eruption duration and bulk fallout volume for all eruptive pulses, while average column height was characterized by a relatively smaller uncertainty, particularly for SAV and VS. We interpreted these results as a consequence of the lack of volcano-physical data, which could be reduced with further field studies. Finally, this study shows how historical reconstruction and expert elicitation can help develop hazard scenarios with uncertainty assessment for poorly known volcanoes, as a first step towards the elaboration of appropriate hazard maps and subsequent planning.
Effects and mechanisms of supramaximal High-Intensity Interval Training on extrapulmonary manifestations in people with and without Chronic Obstructive Pulmonary Disease (COPD-HIIT): study protocol for a multi-centre, randomized controlled trial
Authors: Jakobsson Johan , Burtin Chris , Hedlund Matthias , Boraxbekk Carl-Johan , Vestman Jonas , Karalilja Nina , Stål Per , Sandström Thomas , Ruttens David , Gosker Harry , De Brandt Jana , Nyberg André 
Published: February 2024

Abstract

Background: Beyond being a pulmonary disease, chronic obstructive pulmonary disease (COPD) presents with extrapulmonary manifestations including reduced cognitive, cardiovascular, and muscle function. While exercise training is the cornerstone in the non-pharmacological treatment of COPD, there is a need for new exercise training methods due to suboptimal adaptations when following traditional exercise guidelines, often applying moderate-intensity continuous training (MICT). In people with COPD, short-duration high-intensity interval training (HIIT) holds the potential to induce a more optimal stimulus for training adaptations while circumventing the ventilatory burden often associated with MICT in people with COPD. We aim to determine the effects of supramaximal HIIT and MICT on extrapulmonary manifestations in people with COPD compared to matched healthy controls.Methods: COPD-HIIT is a prospective, multi-centre, randomised, controlled trial with blinded assessors and data analysts, employing a parallel-group trial. In Phase 1, we will investigate the effects and mechanisms of a 12-week intervention of supramaximal HIIT compared to MICT in people with COPD (n = 92) and matched healthy controls (n = 70). Participants will perform watt-based cycling 2–3 times weekly. In Phase 2, we will determine how exercise training and inflammation impact the trajectories of neurodegeneration, in people with COPD, over 24 months. In addition to the 92 participants with COPD performing HIIT or MICT, a usual care group (n = 46) is included in phase 2. In both phases, the primary outcomes are change from baseline in cognitive function, cardiorespiratory fitness, and muscle power. Key secondary outcomes include change from baseline exercise tolerance, brain structure and function measured by MRI, neuroinflammation measured by PET/CT, systemic inflammation, and intramuscular adaptations. Feasibility of the interventions will be comprehensively investigated.Discussion: The COPD-HIIT trial will determine the effects of supramaximal HIIT compared to MICT in people with COPD and healthy controls. We will provide evidence for a novel exercise modality that might overcome the barriers associated with MICT in people with COPD. We will also shed light on the impact of exercise at different intensities to reduce neurodegeneration. The goal of the COPD-HIIT trial is to improve the treatment of extrapulmonary manifestations of the disease.Trial registration Clinicaltrials.gov: NCT06068322. Prospectively registered on 2023-09-28.
Intervention on Externalizing Problem in Junior Middle School Students With an Undercontrolled Personality Type
Authors: Yang Lizhu , Zhang Wen , Li Yaru , Wang Zhonghua , Liu Songhan 
Published: February 2024

Abstract

The aim of this study was to intervene on personality trait behavior related to the externalization of undercontrolled junior high school students.
Methods: using latent class analysis to filtrate undercontrolled junior high school students, using experiential group activities as a carrier, and formulating intervention activities including 30 activities around the seven traits related to the undercontrolled junior high school students' externalization problems. The effect of the intervention was tested by analysis of variance and T Test.
Result: After one semester of intervention, the intervention effect was significant. The test results of the undercontrolled participants in experimental group was significantly lower than that in the control group, and in post-test, the personality score of experimental group was significantly higher than that of the control group.
Conclusion: We discovered that he intervention program could ameliorate the externalization problem behaviors of undercontrolled junior high school students, and demonstrated a sustained promotion effect.