bluuebunny/crossref_metadata_2025_split huggingface dataset:
Salinity Effects on H2S Generation in Subsurface Hydrogen Storage
Authors: Hamdi Z. , Rosman A. , Partoon B. , Bataee M. , Hassan A. M. 
Published: May 2024

Abstract
In recent years, there has been a notable increase in the contribution of renewable energy to the overall supply of electrical energy. Nevertheless, the renewable energy sector encounters challenges in effectively storing surplus energy, particularly given fluctuations in energy demand driven by seasonal variations. As hydrocarbon reservoirs continue to deplete, storing hydrogen in subsurface formations has emerged as a promising solution to this dilemma. This study investigates the implications of sulfate-reduction reactions on hydrogen sulfide (H2S) production within underground hydrogen storage reservoirs. Simulation results demonstrate significant H2S generation during withdrawal cycles, posing challenges for hydrogen recovery and utilization. Factors influencing H2S production include reaction kinetics, sulfate concentration, reservoir pressure, temperature, and formation water pH. H2S exhibits preferential flow within higher-permeability layers and tends to accumulate in lower reservoir regions. Mitigation strategies, such as perforation techniques targeting upper sand portions, are recommended to reduce H2S production. Our findings suggest that reservoirs with substantial sulfate content may not be optimal for underground hydrogen storage initiatives. Sensitivity analyses indicate a correlation between sulfate concentration and prolonged H2S production until sulfate depletion. However, uncertainties persist regarding continuous aqueous sulfate diffusion from formation rocks. Despite potential hydrogen losses due to methanogenation and sulfate reduction, further validation through field applications is needed. This study underscores the importance of considering H2S production in underground hydrogen storage planning and highlights the need for mitigation measures to ensure safe and efficient operations.
Calculation of Production Back Allocation Using Machine Learning Algorithms
Authors: Hassani H. , Shahbazi A. , Yusifov A. , Hamdi Z. , Hassan A. M. , Masoudi R. , Bataee M. 
Published: May 2024

Abstract
The petroleum industry is reliant on precise and efficient back allocation, a process that calculates individual well production rates from shared facilities or multi-well platforms. Especially in matured facilities and legacy assets, traditional measurement techniques often fail to provide the necessary accuracy due to a lack of pre-installed flow meters and individual measurement mechanisms. Furthermore, these methods frequently require additional interventions, a factor that could potentially defer production, incur significant costs, and require extensive supply chain management. Despite these challenges, back allocation remains an essential process for effective reservoir, well, and field production performance management, as well as for ensuring accurate revenue allocation throughout a field's economic life cycle. This study explores the application of machine learning (ML) as an advanced, data-driven approach to overcome the complexities of back allocation and streamline the process with increased accuracy and reduced interventions. Three ML models were implemented for this purpose, namely XGBoost, Random Forest, and LightGBM. These models were designed to predict individual well oil rates based on various parameters easily obtainable from wellhead locations, including wellhead pressure, temperature, and choke size. A meticulous preprocessing stage was performed to make sure the data was ideally suited for the ML models. Further, hyperparameter tuning was applied to enhance model accuracy and performance. Of the three models, XGBoost showed remarkable performance, producing high R2 scores of 0.97, 0.98, 0.96, and 0.96 for each well. These scores underscore the model's strong capability to predict individual well oil rates with high precision, highlighting the potential of ML in addressing complex problems in the oil and gas sector. The study's findings present a promising advancement in the application of ML, particularly XGBoost, for accurate back allocation in combined production systems. The model's superior performance and prediction accuracy pave the way for improved decision-making related to reservoir management, well diagnostics, and cost optimization. The utilization of ML for back allocation holds considerable promise for boosting operational efficiency and profitability in oil and gas production systems. Looking ahead, further research will seek to apply the model on a larger scale and test its efficiency across varied field conditions and scenarios. This investigation will help to further validate the substantial advantages of employing ML methodologies in the petroleum industry.
Analysis of Projection Welding in Relation to the Non-Parallelism of Electrodes
Authors: Mikno Zygmunt 
Published: May 2024

Abstract

The article contains the analysis of projection welding in relation to the non-parallel location (non-parallelism) of electrodes. For a thin-walled flat element (sheet metal) with two embossed projections, the FEM calculations were conducted in relation to different angles between the electrodes. The calculation involved the use of the software SORPAS-3D. The analysis included the temperature distribution, power density, electrode displacement, volume of molten metal, nugget diameter and welding energy. The FEM results were verified experimentally by technological welding tests, destructive examination (peeling/metallographic). The experimental tests involved the application of a typical element e.g. nut with two embossed projections. The research results allow the obtainment of knowledge concerning phenomena occurring in the above-named process and unacceptable bevelling angle between electrodes.
A Distance-mean-smoothed Iterative Algorithm for Detection of Monopoly Furrows in Maize Seedling
Authors: Liu Zhixin , He Xiaoning , Ma Shikuan , Shang Shuqi 
Published: May 2024

Abstract

Backgroud:
A distance-mean-smoothed iterative corn seedling monopoly detection algorithm based on distance-mean-smoothed iteration is proposed to address the problems such as the complexity of traditional crop row line detection for outlier removal algorithms.
Methods
First, based on the green component enhancement method, improved OTSU algorithm and morphological feature analysis noise reduction processing, the image pre-processing such as graying, binarization and morphological noise reduction is performed on the maize seedling graph; then, the binary image with morphological noise reduction is traversed along the horizontal direction row by row to find the starting and ending points of the monopoly, and the DBSCAN algorithm is used for monopoly clustering; finally, the distance-mean-based Finally, the outlier removal algorithm based on the distance-mean iterative algorithm was applied to remove the outliers and linear fitting based on the least squares method was used to obtain the outline of the monopoly.
Results
The experimental results show that the algorithm has a high accuracy in extracting the monopoly furrows in maize seedling stage, and the mean value of the fitted linear determination coefficient is 0.98s.
Conclusions
This paper provides a new method for detecting monopoly furrows in maize seedlings in the field; The image results processed by this algorithm have a good fit and can reflect the general orientation of the rows in the field.
Characterization of a new target to human dental pulp regeneration through the identification of PP1 interactome
Authors: Kobrock Anna , Patricio Daniela , Matos Bárbara , Zarzuela Eduardo , Muñoz Javier , Howl John , Gomes Pedro , Fardilha Margarida 
Published: May 2024

Abstract

Background: Dental caries are one of the most prevalent chronic diseases worldwide affecting all age groups. Current therapeutic strategies are technically demanding and invasive procedures that only address the restoration of dental pulp. Upon damage, mineralized tissues and dental pulp are affected, activating signalling cascades that promote their repair and regeneration through stem cells differentiation into odontoblasts-like cells. Protein phosphatase 1 (PP1) participates in a panoply of cellular events, including those related with regenerative outcomes, such as odontogenic differentiation, highlighting the potential of its modulation.
Methods: Here we evaluated the expression of PP1 isoforms in dental pulp cells lines. We also characterized the PP1 interactome in dental pulp and identified potential interactors involved in repair and regenerative processes.
Results: The expression of all PP1 isoforms (α, β and γ) was detected in human dental cell lines. Moreover, a total of 258 proteins were identified as PP1γ regulatory interactors of protein phosphatase 1 (RIPPOs) in dental pulp, through a combination of a bioinformatic and co-immunoprecipitation/mass spectrometry analyses. Among these proteins, RRBP1 and THBS1 are promising targets, due to their roles in modulation of the regenerative response and in odontoblasts differentiation and mineralization.
Conclusion: This is the first reported PP1 interactome in dental pulp that identifies potential targets to modulate PP1 activity and potentially promote dental pulp regeneration.
Clinical, genotypic, and neuropsychological profile in a series of cases of patients with Niemann-Pick type C disease
Authors: Mendes Rita , Valle Daniel , Bara Tiago , Furlin Vanessa , Zeny Michelle , Santos Mara , Cordeiro Mara L. 
Published: May 2024

Abstract

Background
Niemann-Pick type C (NPC) disease is a rare neurodegenerative disorder with a wide spectrum of clinical manifestations and genetic variability. This cross-sectional study aimed to comprehensively describe the neuropsychological impact of NPC and investigate its correlation with specific genotypes.
Results
Eight patients from six unrelated families were included in this study. The age at symptom onset ranged from 2–16 years, with all patients presenting with ataxia, dysarthria, and cognitive impairment. Following the initiation of miglustat treatment, five patients showed a decrease in the Scale for the Assessment and Rating of Ataxia (SARA) score, whereas two demonstrated subsequent increases. Brain magnetic resonance imaging scans were performed in five patients, revealing white matter abnormalities and/or brain volumetric reduction in three cases. Despite the small sample size, the overall cognitive performance of the cohort was significantly below average. The Family Environmental Scale highlighted positive structural patterns, particularly regarding Personal Growth and System Maintenance. Genetic analysis identified five mutations in the NPC1 gene, correlating with the severity of impairments and clinical outcomes.
Conclusions
This study highlighted a consistent association between cognitive and behavioral impairments, with severity correlating with age and specific genetic variants. Notably, a subgroup showed a higher prevalence of psychotic and behavioral symptoms, suggesting a potential link with specific genetic variants.
Rapid 21st century warming in the Southern Indian Ocean driven by altered inter-basin connections
Authors: Chatterjee Abhisek , K Sajidh C , Murtugudde Raghu , McPhaden Michael , Shenoi Sathish S C , Vinayachandran P N 
Published: May 2024

Abstract

The Indian Ocean has been warming rapidly over the last few decades. However, this warming has not been uniform; with the subtropical and tropical Southern Indian Ocean (SIO, 5°S3-5°S) cooling until the late 20th Century and then warming abruptly after 2000. Increased Indonesian throughflow (ITF) into the Indian Ocean during the recent climate hiatus was considered to be the primary reason for this recent warming. Our analysis shows that though the ITF inflow decreased rapidly by ~10% after 2010, the upper ocean SIO continued to gain heat at the rate of 0.56 (±0.02) ×1022 J/decade. We argue that the increased ITF during the hiatus in global surface warming (1998-2010) initiated the SIO warming, resulting in a weaker Mascarene High and its decoupling from Southern Ocean atmospheric variability. This caused disparity in the poleward shift of the subtropical gyres between the Pacific and the Indian Oceans, resulted in a three-fold increase in the Tasman inflow to the Indian Ocean, offsetting the weakened influence of the ITF. This accumulation of heat further weakened Masacarene High and reduced the Agulhas outflow by ~20% from its peak, causing a positive feedback that continued to warm the upper ocean of SIO.
Follow-up on Patients with Initial Negative mpMRI Target and Systematic Biopsy for PI-RADS ≥3 Lesions – An EAU-YAU Study Enhancing Prostate Cancer Detection.
Authors: Zattoni Fabio , Gandaglia Giorgio , Bergh Roderick van den , Marra Giancarlo , Valerio Massimo , Martini Alberto , OLIVIER Jonathan , Puche-Sanz Ignacio , Rajwa Pawel , Maggi Martina , Campi Riccardo , Nicoletti Rossella , Amparore Daniele , De Cillis Sabrina , Zhuang Junlong , Guo Hongqian , Fuschi Andrea , veccia alessandro , Ditonno Francesco , Pereira Leonor Paulino , Marquis Alessandro , Barletta Francesco , Leni Riccardo , Kasivisvanathan Veeru , Antonelli Alessandro , Rivas Juan Gomez , Remmers Sebastiaan , Roobol Monique , Briganti Alberto , Moro Fabrizio Dal , Novara Giacomo 
Published: May 2024

Abstract

Purpose
To investigate the detection and predictors of prostate cancer (PCA) and clinically significant prostate cancer (csPCA) in patients with positive multiparametric MRI (mpMRI) followed by a negative MRI – guided target biopsy (TB) and systematic biopsy (SB).
Materials and Methods
This retrospective multicenter study included 694 patients from 10 tertiary referral centers with an initial positive mpMRI (PI-RADS ≥ 3) and negative results on both MRI-TB and SB. Patients were classified into three groups based on follow-up: Group 1 (prostate re-biopsy without new mpMRI), Group 2 (standardized second prostate mpMRI and subsequent re-biopsy), and Group 3 (follow-up with mpMRIs and biopsy based on clinical and radiological triggers). The primary outcomes were the detection of any PCA and csPCA during follow up. Study groups were compared according to their probability of PCA and csPCA assessed with the ERSPC-MRI risk calculator. Statistical analysis included Kaplan – Meier analysis, Cox regression, and multivariable analysis for the detection of (cs)PCa.
Results
The overall detection of PCA and csPCA was 26.8% and 19.3%, respectively, with varying rates in different PI-RADS groups. Group 3 had the highest 2 – year and 5 – year PCA – free survival (94% and 84%) and csPCA – free survival (96% and 86%). Multivariable analysis revealed a significantly higher risk of PCA and csPCA in Group 1 and 2 compared to Group 3. Clinical and radiological predictors for PCA and csPCA included higher age, prostate volume, PI-RADS score, the presence of atypical small acinar proliferation (ASAP), and a smaller number of TB and SB performed during the initial biopsy. Study limitations, include the retrospective design and reliance on clinical and radiological triggers for follow – up decisions.
Conclusions
Patients with positive mpMRI but negative TB and SB results exhibit varying rates of PCA and csPCA depending on the follow up scheme. Tailored follow-up strategies are essential for optimal management in this clinical scenario.
Heat analysis and characterization method of 110kV cable joint under crimp defect
Authors: Zhu he , Wang Yang 
Published: May 2024

Abstract

In view of the frequent explosion accidents of 110kV cable joints, the temperature field of cable joints with crimping defects was analyzed, and the degree of crimping defects was quantitatively characterized. COMSOL finite element software is used to establish the cable joint temperature field model. Through the analysis of simulation data, it is found that when there is extra contact resistance, the cable joint will produce abnormal temperature rise, but it has little influence on the temperature of the remote cable body. On this basis, the influence of ambient temperature and current load on core and skin temperature of cable joint under different working conditions is studied, which provides a data basis for subsequent characterization of crimping degree. Finally, the simulation data under different working conditions were fitted to obtain the representation equation of crimping coefficient based on the surface temperature difference method. The calculation method can calculate the cable core temperature quickly and accurately, and provide a basis for the temperature monitoring and state evaluation of the cable middle joint.
Environmental complexity impacts anxiety in broiler chickens depending on genetic strain and body weight
Authors: Ulans Alexandra , Brooks George , Jacobs Leonie 
Published: May 2024

Abstract

The objective was to assess the impact of environmental complexity on affective state (anxiety) in fast- and slow-growing broilers (Gallus gallus domesticus) as they gain weight. Six hundred fast-growing broilers (Ross 708; “fast-growers”) and 600 slow-growing broilers (Hubbard Redbro Mini; “slow-growers”) were raised in 24 pens with simple (standard; SE) or complex (permanent and temporary enrichments; CE) environments. Six birds/pen underwent the attention bias test on day 23 (fast-growers only), 28–29, 35–36, 42–43, and 56–57 (slow-growers only), with individuals only tested once (n = 576). Proportion of birds feeding, time spent vigilant and latencies to eat and step were recorded. Greater vigilance and longer latencies indicate more anxiety. Slow-growers fed more (p = 0.001), were less vigilant (p = 0.003), and stepped sooner than fast-growers (p = 0.007). For both strains, likelihood of feeding was unrelated to weight in SE, but decreased with increasing weight in CE (p = 0.048). Birds in CE stepped sooner than birds in SE (p = 0.030). Vigilance increased with body weight (p = 0.024). These results indicate that affective state (anxiety) can change as birds gain weight, depending on complexity and genetic strain. Although slow-growers showed reduced anxiety compared to fast-growers, their affect was not consistently better across housing treatments or weights.
Influence of probiotic Bacillus cereus. Supplemented feed on growth and survival of the ornamental fish, gold fish (Carassius auratus)
Authors: S Mahadevi , B Deivasigamani , T Suthin Raj , P Keerthika , N Padmini , H Ann Suji 
Published: May 2024

Abstract

Marine sediment sample was collected and the total aerobic population was counted and probiotic Bacillus cereus was isolated. Then it was mixed with formulated feed by spraying, while control diet was purchased from a local aquarium. 30 days of feeding experiment was conducted. Carassius auratus fishes were randomly divided into two experimental groups in rectangular tanks. The first group served as a control in which fishes were fed with commercial feed. The second group of fish were fed with probiotic incorporated feed. After 40 days, their survival and growth performance were detected. Bacillus cereus incorporated feed significantly yielded higher survival rate of the fish compared to control. Food conversion ratio (FCR) was significantly lower than the control group. The main aim of this work is to investigate the effect of a marine probiotic bacteria, Bacillus cereus on the survival and growth performance of gold fish Carassius auratus.
Personality and Self-efficacy for Illness Management in Cancer
Authors: Peyser Tristen , Perry Laura M. , Mossman Brenna , Xu Kenneth , Kim Seowoo , Moran James B. , Hoerger Michael 
Published: May 2024

Abstract

Objectives
Self-efficacy for illness management is increasingly recognized as important for outcomes in cancer. We examined whether The Big Five personality dimensions were associated with self-efficacy for illness management and hypothesized that patients who were less neurotic and more conscientious would have better self-efficacy.
Methods
Adults with cancer completed a cross-sectional survey that included the Mini-International Personality Item Pool (IPIP) and three subscales of the Patient-Reported Outcomes Measurement Information System (PROMIS) Self-Efficacy for Chronic Conditions: managing emotions, managing symptoms, and managing treatment and medication. Linear regressions were used to test the hypotheses, while controlling for covariates.
Results
The personality and PROMIS self-efficacy measures demonstrated good evidence of reliability (median Cronbach’s alpha = .78, range of .69-.92) and validity (intercorrelations). As hypothesized, patients who were less neurotic or more conscientious had higher levels of illness self-efficacy overall and on each of the three subscales (all ps < .001). Openness was associated with better self-management of symptoms (p = .013) and emotions (p = .040). Extraversion was associated with better self-management of emotions (p = .024).
Conclusions
Personality plays a vital role in illness self-efficacy for patients with cancer.
Practice Implications:
As a part of multidisciplinary care teams, psychosocial experts can use these findings to help patients better manage their illness.
Tethered Cord Prevalence among Patients with Prenatal or Postnatal Myelomeningocele Repair
Authors: Alavi Seyed Ahmad Naseri , Fluss Rose , Lehner Kurt , Judy Brendan , Groves Mari , Cohen Alan , Kobets Andrew J. 
Published: May 2024

Abstract

Background:
Myelomeningocele (MMC) is a severe form of spina bifida characterized by spinal cord extrusion into a cerebrospinal fluid (CSF) filled sac which may lead to lifelong disability. Repair of these lesions have classically occurred shortly after birth, but more recently, prenatal myelomeningocele repair techniques have been elucidated. This study aimed to investigate the outcome of surgery, particularly with subsequent spinal cord tethering, in patients with prenatal myelomeningocele closure and those with postnatal repair surgery.
Materials and methods:
In this retrospective study which assessed patients from April 2002 to April 2020, the data of 18 total patients with MMC were reviewed. Nine patients from each group were included, closed prenatally or postnatally, respectively. Demographic information including age and sex, birth week, infant comorbidities, presence of dermoid or lipoma, cutaneous stigmata, total number and timing of detethering procedures, presence of Chiari malformation, and need for VPS was obtained.
Results:
Eighteen patients including 9 infants closed prenatally and 9 infants with myelomeningoceles closed postnatally were reviewed. The mean age was 4 ± 3 years and 6.22 ± 2.4 in prenatal and postnatal retrospectively. There was a significant relationship between the number of detethering procedures (p.value = 0.03) and the need for a ventriculoperitoneal shunt (VPS) (p.value = 0.01) between the groups, with the prenatal closure group having lower rates of each. There was no significant difference between the groups in regard to the mean age at the detethering procedure (p = 0.4), sex (p = 0.09), birth week (p = 0.8), comorbidities (p = 0.8), presence of intraspinal dermoid or lipoma (p = 0.09), presence of cutaneous stigma (p = 0.08), Chiari (p = 0.6), Fatty filum (p = 0.08), syrinx (p = 0.4), bone anomaly (p = 0.4), and spina bifida neurological scale (p = 0.66).
Conclusion:
There was a significant relationship between the two groups in terms of the number of detethering procedures, and the need for VPS. Our data represents a possible difference in the need for detethering surgeries and ventriculoperitoneal shunt placements between patients with prenatal and postnatal myelomeningocele closures.