bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fractional amplitude of low-frequency fluctuations associated with μ-opioid and dopamine receptor distributions in the central nervous system after high-intensity exercise bouts
Authors: Boecker Henning , Daamen Marcel , Maurer Angelika , Bodensohn Luisa , Werkhausen Judith , Lohaus Marvin , Manunzio Christian , Manunzio Ursula , Radbruch Alexander , Attenberger Ulrike , Dukart Juergen , Upadhyay Neeraj 
Published: February 2024

IntroductionDopaminergic, opiod and endocannabinoid neurotransmission are thought to play an important role in the neurobiology of acute exercise and, in particular, in mediating positive affective responses and reward processes. Recent evidence indicates that changes in fractional amplitude of low-frequency fluctuations (zfALFF) in resting-state functional MRI (rs-fMRI) may reflect changes in specific neurotransmitter systems as tested by means of spatial correlation analyses.MethodsHere, we investigated this relationship at different exercise intensities in twenty young healthy trained athletes performing low-intensity (LIIE), high-intensity (HIIE) interval exercises, and a control condition on three separate days. Positive And Negative Affect Schedule (PANAS) scores and rs-fMRI were acquired before and after each of the three experimental conditions. Respective zfALFF changes were analyzed using repeated measures ANOVAs. We examined the spatial correspondence of changes in zfALFF before and after training with the available neurotransmitter maps across all voxels and additionally, hypothesis-driven, for neurotransmitter maps implicated in the neurobiology of exercise (dopaminergic, opiodic and endocannabinoid) in specific brain networks associated with “reward” and “emotion.”ResultsElevated PANAS Positive Affect was observed after LIIE and HIIE but not after the control condition. HIIE compared to the control condition resulted in differential zfALFF decreases in precuneus, temporo-occipital, midcingulate and frontal regions, thalamus, and cerebellum, whereas differential zfALFF increases were identified in hypothalamus, pituitary, and periaqueductal gray. The spatial alteration patterns in zfALFF during HIIE were positively associated with dopaminergic and μ-opioidergic receptor distributions within the ‘reward' network.DiscussionThese findings provide new insight into the neurobiology of exercise supporting the importance of reward-related neurotransmission at least during high-intensity physical activity.
Mental health in China: exploring the impacts of built environment, work environment, and subjective perception
Authors: Fang Zhou , Lin Yu , Chen Chuangyuan , Jiang Jian , Dong Letian 
Published: February 2024

IntroductionThe shifting living and working conditions have profound impacts on the residents’ mental health. However, current research in this field has not remarkable investigated.MethodsThis study used the China Labor-force Dynamic Survey (CLDS) dataset from 2018 and relied on a regression model to examine the effects of the built environment, work environment, and subjective perception on the mental health of Chinese citizens. It also considers the circumstances of both migrants and local residents.ResultsThis study revealed significant correlations between mental health and greening space rate, road network density, commuting time, work feelings, community trust, economic satisfaction, and other factors. Additionally, the mental health of local residents was shown to be significantly affected by community security, while it shows no significance in migrants. Furthermore, a significant spatial autocorrelation was found in terms of mental health within the central and eastern regions of China.DiscussionThe findings of this study offer valuable insights that can be used to facilitate measures aimed at improving the mental health of residents and promoting the development of healthy cities.
Earning management including corporate accounting policies or intentional manipulation?
Authors: Dalimunthe Ahmad Aulia , Putri Nadilla Vidya , Muda Iskandar 
Published: February 2024

This literature study examines and clarifies issues associated with the earnings management perspective. The research method applied to this study is qualitative, utilizing literature studies for obtaining the data. The findings of this study demonstrate that earnings management is not a deception. Deception is an unlawful activity that is in violation of legal statutes. Meanwhile, earnings management is a practice of adjusting profits that is considered legal as it adheres to accounting standards and company law. The outcomes of this study add to the existing body of research in the field of financial accounting literature, particularly in the area of accounting theory.
Investigation of damage in vascular endothelial cells caused by lipid bubbles under ultrasound irradiation to verify the protective effect on cells
Authors: Ogawa Narumi , Ito Yoshiki , Watanabe Shunya , Araki Shinnnosuke , Yoshida Naoya , Konishi Kota , Noguchi Ayako , Miyamoto Yoshitaka , Omata Daiki , Suzuki Ryo , Masuda Kohji 
Published: February 2024

Abstract
We investigated the viability of vascular endothelial cells engrafted on the basement membrane of a flow channel to verify the protective effect from cell damage under ultrasound exposure with a frequency of 3 MHz and a maximum sound pressure of 400 kPa-pp. We used two types of lipid bubbles (LBs), namely LBs (+) attached to the cells and LBs (–) not attached to the cells. We confirmed that the engrafted cells on the basement remained after ultrasound exposure and were resistant to flow. We found significant cell damage using LBs (–) regardless of the flow condition, whereas cell damage was not observed with LBs (+). A difference in irradiation direction of ultrasound was not detected. By making use of the adhesion of LBs (+) on the cells, since there was a significant increase in cell survival rate, we prove the potential for the adhesion of LBs (+) to protect cells from cell damage.
EFEKTIVITAS PROGRAM BANTUAN OPERASIONAL SEKOLAH
Authors: Nurjannah Nurjannah B. , Remmang Hasanuddin , Suriani Seri 
Published: February 2024

Penelitian bertujuan untuk mengetahui seberapa baik fungsi Bantuan Operasiional Sekolah (BOS) di MTs. Syawir Dahlan Kecamatan Pangkajene, Kabupaten Pangkajene dan Kepulauan dan untuk mengetahu bagaimana Program Bantuan Operasional Sekolah (BOS) mengubah mutu layanan pendidikan dasar MTS. Syawir Dahlan Kabupaten Pangkajene dan Kepulauan. Dana BOS merupakan program pemerintah yang pada dasarnya untuk menyediakan pembiayaan biaya operasional non personalia bagi satuan pendidikan dasar sebagai pelaksana program wajib belajar. Peneliti menggunakan seri fakta untuk mendapatkan catatan penting dari aset yang memakan waktu lama. Tes ini menggunakan pendekatan wawancara untuk mengumpulkan informasi dan catatan dari sumber yang tersedia dan online. Berdasarkan hasil penelitian yang dilakukan, penggunaan Bantuan Operasional Sekolah (BOS) di MTS Syawir Dahlan sudah efektif sesuai dengan indikator pelaksanaannya.
This study aimed to determine how well the School Operational Assistance (BOS) function in MTs. Syawir Dahlan Pangkajene ub-district, Pangkajene and Island District and to find out how the School Operational Assistance Program (BOS) is changing the quality of MTS of basic education service. MTs. Syawir Dahlan Pangkajene and Island District. The BOS support fund is a government program tha.t basically provides financing for non-personal operational costs for basic education units as implementers of the compulsory education program. Researcher uses fact series to obtain important records of assets that take a long time. This test used an interview approach to collect information and notes from available and online source. Based on the result of research conducted, the use of School Operational Assistance (BOS) at MTs. Syawir Dahlan has been effective according to its implementation indicator.
The Inner Disk Rim of HD 163296: Linking Radiative Hydrostatic Models with Infrared Interferometry
Authors: Chrenko Ondřej , Flock Mario , Ueda Takahiro , Mérand Antoine , Benisty Myriam , Chametla Raúl O. 
Published: February 2024

Abstract
Previous studies of the protoplanetary disk HD 163296 revealed that the morphology of its sub-au infrared emission encompasses the terminal sublimation front of dust grains, referred to as the inner rim, but also extends into the (supposedly) dust-free region within it. Here, we present a set of radiative hydrostatic simulations of the inner rim in order to assess how much the rim alone can contribute to the observed interferometric visibilities V, half-light radii R
hl, and fractional disk fluxes

F

in the wavelength range 1.5–13 μm. In our set of models, we regulate the cooling efficiency of the disk via the boundary condition for radiation diffusion and we also modify the shape of the sublimation front. We find that when the cooling efficiency is reduced, the infrared photosphere at the rim becomes hotter, leading to an increase in R
hl sufficient to match the observations. However, the near-infrared disk flux is typically too low (

F
≃
0.25

at 1.5 μm), resulting in H-band visibility curves located above the observed data. We show that the match to the H-band observations up to moderate baselines can be improved when a wall-shaped rather than curved sublimation front is considered. Nevertheless, our model visibilities always exhibit a bounce at long baselines, which is not observed, confirming the need for additional emission interior to the rim. In summary, our study illustrates how the temperature structure and geometry of the inner rim need to change in order to boost the rim’s infrared emission.
Can the Gravitational Wave Background Feel Wiggles in Spacetime?
Authors: Ye Gen , Silvestri Alessandra 
Published: February 2024

Abstract
Recently the international pulsar timing array collaboration has announced the first strong evidence for an isotropic gravitational-wave background (GWB). We propose that rapid small oscillations (wiggles) in the Hubble parameter would trigger a resonance with the propagating gravitational waves, leaving unique signatures in the GWB spectrum as sharp resonance peaks/troughs. The proposed signal can appear at all frequency ranges and is common to GWBs with arbitrary origin. The resonant signal can appear as a trough only when the GWB is primordial, and its amplitude will also be larger by one perturbation order than in the nonprimordial case. These properties serve as a smoking gun for the primordial origin of the observed GWB. We showcased the viability of the signal to near future observations using the recent NANOGrav 15 yr data.
Advanced Automated Drilling Advisory System Enhances Drilling Efficiency
Authors: Al-Rubaii M. 
Published: February 2024

Abstract
In wellbore drilling operations, there are several various operations such as drilling operations, logging, coring, stimulation, completions and well testing. They are expensive operations and consume excessive time for executions. Rate of penetration (ROP), logging tools, formation pressures and other operations required continuous monitoring, evaluation and advisory drilling system for optimized execution in safe and competent manners. In this paper a newly developed advanced drilling advisory system was developed and applied in field drilling operations to drill wells in optimum time and cost in safe and environmental manners.
The are several drilling systems, however, not all of them are feasible in drilling operations and have lack of practicality and technicality. The advanced drilling system was developed to ensure continuous monitoring, evaluation and advisory while drilling and rig operations. The system includes ROP Optimization, hole cleaning advisory system which includes real times drilling fluid and equivalent circulating densities, drilling fluid rheology & capacity efficiencies, surge, swab, bottom hole pressures, rig & drill-bit hydraulics, physical rock properties, and carbon Dioxide (CO2) release measurement and controlling. The system utilized real time drilling sensors, surface parameters and fields inputs to generate real time profiles by using advanced real time algorithms and models.
The results showed accurate matching with literature review domain for physical rock properties, while drilling rig and bit pressures and hydraulics were validated and tested with well drilling and rig optimizations. The improvement was recognized by 50% ROP enhancement, CO2 reduction by 38% and Rig performance optimization by 30%.
The advanced drilling system can add values such as reduced CO2 emission, that is Part of 2030 vision to green initiative of kingdom of Saudi Arabia (KSA), Increased drilling efficiency, Optimized Rig performance, avoid drilling problems, and real-time CO2 reading for tracking.
Validation of Geomechanical Sanding Predictions with Subsequent Production and Water Injection in a Rejuvenated Oil Field, Offshore Malaysia
Authors: Khaksar A. , Asadi S. 
Published: February 2024

Abstract
The "Z-field" is located in Offshore Malaysia and is a shallow water, mature oil field consisting of stacked sandstone reservoirs with interlayered shales. It has been on production since the mid-1980s. Early production wells had cased and perforated completions with sand screens and internal gravel packs. However, due to low productivity, the subsequent wells were completed cased and perforated without downhole sand control. This paper focuses on the credibility of the geomechanical sanding risk evaluation, initially conducted at early field life, and revisited during the field redevelopment stage for sand control and completion decision for high-angled oil producer infill and water injection wells. Field observations to date confirm the accuracy of the latest geomechanical sanding evaluations conducted in 2014 and support the decision to not use downhole sand control. This has resulted in millions of dollars in savings on well construction costs and increased revenue from higher well productivity compared to the earlier wells from the 1980s that were completed with sand screens and internal gravel packs. This study demonstrates the validity of geomechanical assessments conducted at the beginning of field redevelopment. These studies were verified with several years of production data. It is concluded that with robust geomechanical modelling and frequent updates, reliable sanding risk assessments can be provided to well engineers and asset managers for fit-for-purpose and timely sand management and completion decisions.
Auto Sand & Erosion Management System (A-SEMS)
Authors: Napatthamon V. , Tanart W. 
Published: February 2024

AbstractSand erosion is the one of top damage mechanism to cause severe loss of primary containment (LOPC) incidents in the Gulf of Thailand (GoT) oil and gas production area where sand production is the known issue. To effectively manage sand erosion in this area while maximizing oil and gas production to meet production target and sale agreement, the development and implementation of automated management system are necessary to handle the unpredictability and rapid deterioration of sand erosion. The automated management system within A-SEMS (Auto Sand & Erosion Management System) has been derived from the historical data analysis, engineering analysis, and operational feasibility, and developed as rule-based Python algorithm to integrate data from various sources related to completion, production, operation, and maintenance activities, then make decision and command action without human intervention to prevent the LOPC incident. After implementing A-SEMS for 11 months, 3 potential LOPC incidents from sand erosion prevented by early detection and responsive action commanded by A-SEMS. Due to effectiveness of A-SEMS to handle sand and erosion concern at topside facilities, benefit gained from inspection cost reduction, workload optimization, incident cost avoidance and unlock production limit from the theoretical maximum allowable sand rate can achieve 9MMUSD per year.
Utilizing Machine Learning Power to Predict the Performance of Carbon Dioxide Trapping in Saline Aquifers
Authors: Alkhowaildi M. 
Published: February 2024

Abstract

Executive Summary
Subsurface carbon dioxide is viewed as a critical technology to combat and mitigate climate change in the upcoming decades. Storing carbon dioxide in deep saline formations is regarded as a promising option for geological carbon storage (GCS), but to fully comprehend the CO2 trapping processes in these formations, reliable methods must be established to evaluate the efficiency of CO2 trapping. In this project, 4 machine learning techniques (Decision Tree, Random Forest, Gradient Boosting and Stacked Generalization) were applied to develop a robust model to assess CO2 trapping efficiency. Additionally, Artificial Neural Network (ANN), a deep learning tool was also developed and tested. The developed ML models demonstrated promising results for predicting trapping indices in saline aquifers, with correlation factor R2 &gt; 0.9. Moreover, partial dependance plots (PDP) were utilized as a sensitivity analysis tool and it showed that some input variables are affecting the results (trapping indices) more than others (i.e. Salinity, temperature & time). The developed ML models RF, GB, and SG specifically exhibited a propitious outcomes.
Offshore CCS – Pre-commissioning Experience and Strategy for Subsea CO2 System
Authors: Davis Rupert John , Ripley Andrew , Roux Arnaud 
Published: February 2024

Abstract
Pre-commissioning of conventional subsea production and injection system is well established and has been delivered reliably by offshore contractors. However, subsea CCS presents significant new challenges, related to CO2 becoming highly corrosive in presence of free water. Corrosion Resistant Alloy (CRA) material could be considered but would result in prohibitively expensive development. Instead, Carbon Steel (CS) are generally considered for CCS system, requiring a stringent control of injected content during all project development phases.
This paper will present the main risks encountered while pre-commissioning subsea CCS system, highlight contractor experience on recent CCS developments and present how conventional O&G contractors’ knowledge can be re-used for this novel industry.
Application of 4D Geomechanical in Fault Sealing Capacity Evaluation of Underground Gas Storage-A Case Study from China
Authors: Huang Xingning. , Wang Mengcong. , Guo Xuhong. , Xu Miao. , Long Xuechen. 
Published: February 2024

Abstract
During the high-speed injection and extraction cycle of an underground gas storage reservoir, the pool's pore pressure, effective stress, and faults change periodically, which may cause formation damage and natural gas leakage, thus affecting the sealing of the entire reservoir. At the same time, the non-homogeneity easily causes local pressure accumulation, which makes the pore pressure and effective stress distribution extremely unbalanced, and the local pressure accumulation in the formation is a potential threat to the operation of the gas storage reservoir. At the same time, clarifying the fault stress field evolution can provide theoretical support for raising the upper limit pressure at a later stage. Therefore, the study of four-dimensional stress field evolution characteristics of the gas storage reservoir geologic body is directly related to the safe operation and efficient use of the gas storage reservoir. This paper investigates the evolution characteristics of fault stress fields in light of the characteristics of multi-cycle high-flow injection and extraction cycles in gas storage reservoirs. In this paper, numerical simulation is used to analyze the factors affecting the integrity of the fault. At the same time, gas-water two-phase seepage and flow-solid coupling principles are used to analyze the seepage mechanics and geomechanics of the conceptual model by combining with the integrated software of geoengineering. According to the simulation results, the pressure and stress fields with time and space changes and distribution characteristics were carried out, and the destructive prediction was carried out to find the submerged destabilized parts. A large-scale seepage-stress coupling field model was established based on the field data, and the model's accuracy was verified by simulation. Finally, seepage mechanics and geomechanical analysis were carried out for the actual model, and the results can provide theoretical support for the construction of the project and the adjustment of the injection and mining program in the later stage to improve the upper limit pressure.
Advisory Automated System for Wellbore Cleaning and Evaluation Improves Drilling Efficiency
Authors: Al-Rubaii M. M. 
Published: February 2024

Abstract
Ineffective hole cleaning leads to a complicated drilling hole problems such as stuck pipe incidents, and difficult tripping operations. The objective of this paper to introduce a unique Hole Cleaning Advisory System which is showing six real time hole cleaning indicators that can provide an obvious vision on hole cleaning performance during drilling operations and thereby improves drilling efficiency. They are real time drilling fluid density (MWeff), real time equivalent circulating density (ECDeff), real time developed carrying capacity index (HCI), and real time developed cuttings concentration in annulus (CCA), real time developed transport ratio (CTRm) and real time transport index (TIm). Artificial intelligence tool such as artificial neural network (ANN) was applied for validation and confirmation of models parameters and obtaining similar real time profiles of hole cleaning indices. The system was utilizing rig sensors’ real time values, surface and field operations readings by collecting historical and real time readings, selecting the most relevant and important factors. Performing data analytics, preparation and interpretation. Finding the relationships between parameters. Modifying critical parameters. Validating models with referenced tools those are applicable and utilized in drilling operations. Integrating developed models in real time drilling operations to evaluate and monitor drilling performance. The conducted process, validations of real time models were done and compared with other commercial software and advanced drilling tool such as Pressure while drilling (PWD) tool and other sensors tools provided by Services Company for drilling operations. The system were applied in the fields and provided a firm and solid validations of the developed system that empowered the new technology to be applied in drilling rigs fleet. Results, Observations, Conclusions: the results showed that the MWeff and ECDeff were validated with pressure while drilling (PWD) and resulted in 2 % errors .MWeff was validated with other commercial software shows real time mud as output, the developed real time model of mud weight while drilling showed errors 2 %. That means the developed models for mud weight and equivalent circulating density were robust and can be utilize while drilling operation to optimize well drilling performance. regarding other hole cleaning indices such as HCI, CCA, CTRm & TIm were applied in several types of well, it was able to identify the hole cleaning issues and improves the drilling efficiency specifically rate of penetration (ROP) by 65 %. The drilling engineering and operation team was performing immediate intervention to avoid drilling troubles due to hole cleaning. The final results contributed for optimizing drilling efficiency significantly in safety and environmental manners with cost and time effectiveness. In addition, participating in drilling automation and digitalization in compatibility with fourth industrial revolution (4-IR).