bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Flexible Spherical Mixture Model for Gamma-Ray Burst Patterns Obtained from BATSE and FERMI Mission
Authors: Ghosh Prithwish , Ghosh Sujit , Chatterjee Debashis 
Published: February 2025

Abstract
The study encapsulates the investigation into the spherical distributional characteristics of parameters relevant to Gamma-Ray Bursts (GRBs), mainly focusing on their Galactic coordinates. The study utilized a mixture of von Mises Fisher spherical distributions to model the spatial distribution of GRBs in both BATSE and FERMI catalogs. Optimal numbers of mixture components were determined for different subsets of GRBs, including Long and Short GRBs. For the BATSE catalog, it turns out that a mixture of two spherical distributions provides a good fit for the whole data set and long and short GRBs. On the other hand, for the FERMI catalog, it turns out that a mixture of three spherical distributions provides a good fit for the whole data set, and a mixture of four distributions is adequate for both long and short GRBs. Additionally, an assessment was made to determine if the location parameter of GRBs follows any spherical distribution. Our flexible directional statistical modeling framework reveals that GRBs exhibit a non-uniform distribution on the celestial sphere, as evidenced by rejecting the null hypothesis of uniform distribution on a sphere using the Watson test. Our analysis statistically inquires the long-held assumption of their isotropic spread, especially in 2D projected spatial distributions of GRBs, suggesting that these cosmic events might not be uniformly scattered across the celestial sphere. The observed clumping of GRBs hints at the underlying cosmic scaffolding—the large-scale distribution of matter and star formation. Our results statistically asserts the explanation that the intrinsic GRB formation rate is typically tied to cosmic star formation rates with a delay time distribution, leading to a non-uniform rate as a function of redshift, demanding more nuanced calculations. However, this finding needs to consider potential biases introduced by the Milky Way’s obscuration and our heliocentric perspective.
Guidance for sharing computational models of neural stimulation: from project planning to publication
Authors: Pelot Nicole A , Wang Boshuo , Marshall Daniel P , Hussain Minhaj A , Musselman Eric D , Yu Gene J , Dale Jahrane , Baumgart Ian W , Dardani Daniel , Zamani Princess Tara , Chang Villacreses David Fernando , Wagenaar Joost , Grill Warren M 
Published: February 2025

Abstract
Objective. Sharing computational models offers many benefits, including increased scientific rigor during project execution, readership of the associated paper, resource usage efficiency, replicability, and reusability. In recognition of the growing practice and requirement of sharing models, code, and data, herein, we provide guidance to facilitate sharing of computational models by providing an accessible resource for regular reference throughout a project’s stages. &#xD;&#xD;Approach. We synthesized literature on good practices in scientific computing and on code and data sharing with our experience in developing, sharing, and using models of neural stimulation, although the guidance will also apply well to most other types of computational models. &#xD;&#xD;Main Results. We first describe the “6 R” characteristics of shared models, leaning on prior scientific computing literature, which enforce accountability and enable advancement: re-runnability, repeatability, replicability, reproducibility, reusability, and readability. We then summarize action items associated with good practices in scientific computing, including selection of computational tools during project planning, code and documentation design during development, and user instructions for deployment. We provide a detailed checklist of the contents of shared models and associated materials, including the model itself, code for reproducing published figures, documentation, and supporting datasets. We describe code, model, and data repositories, including a list of characteristics to consider when selecting a platform for sharing. We describe intellectual property considerations to balance permissive, open-source licenses versus software patents and bespoke licenses that govern and incentivize commercialization. Finally, we exemplify these practices with our ASCENT pipeline for modeling peripheral nerve stimulation. &#xD;&#xD;Significance. We hope that this paper will serve as an important and actionable reference for scientists who develop models—from project planning through publication—as well as for model users, institutions, intellectual property experts, journals, funding sources, and repository platform developers.
Optimization of wind shear escape training for civil aviation pilot trainees via reinforcement learning and sequential pattern mining
Authors: Zhang Yangyang , Gao Zhenxing , Gu Hongbin , Xiang Zhiwei 
Published: February 2025

Abstract
In wind shear escape training, the operation manual-based operations, which were developed by experts in the field of civil aviation, obtained via qualitative analysis would perhaps cause untimely, redundant, omitted, and out-of-sequence operations when under complex conditions. To improve windshear escape training, this study starts with an actor-separated proximal policy optimization (ASPPO) algorithm to generate optimal agents, considering that operations in flight involve both discrete and continuous actions. Further based on the action sequence generated from the optimal agent, sequential pattern mining is used for quantitative analysis to obtain the maximum frequent action sequence. The results of the wind shear escape test, as an example, revealed that the optimal agent based on ASPPO could make an aircraft escape fast with stable attitudes. Meanwhile, the comparison of action sequences obtained from the PrefixSpan algorithm and pilot trainees indicated the imperfections in pilot trainees’ operations.
Study on particulate matter emission characteristics and its influencing factors of a drum brake
Authors: Bai Fengyue , Wang Chong , Wei Hongyuan , Zhang Lin , Wang Xiaowei 
Published: February 2025

Abstract
The particle emission characteristics of a drum brake under different braking cycles and braking conditions are studied based on the inertia test bench, brake sealing chamber, and particle test equipment. The results show that a large number of particles are generated during the braking process, and the number of solid particles at a nominal particle size of approximately 10 nm electrical mobility diameter and larger (SPN10) emission factor can reach 8.927×109 #/km under different braking cycles. With the increase of initial braking speed, initial braking temperature, and vehicle load, the brake wear particulate generated in the braking process increases. The total brake wear particulate number emission has a quadratic function relationship with the initial braking speed and a linear relationship with the initial braking temperature. Brake deceleration has little effect on total brake wear particulate number emissions produced in one brake process.
Thermodynamic performance simulation analysis of a 2.0T second generation gasoline engine
Authors: Zhao Hongxia , Lv Jiangyi , Zhang Hualei , Niu Yali 
Published: February 2025

Abstract
According to the requirements of the model development, this analysis applies GT power software to establish a thermodynamic simulation and analysis model for a 2.0T second-generation direct injection turbocharged inter-cooled gasoline engine. Based on the experimental data of the model, the input of the calculation model is calibrated, and the thermodynamic performance indicators of the external characteristics under various operating conditions are simulated and calculated to evaluate and analyze the feasibility of the development goals.
Recent amplification of the Siberian High decadal variability significantly influenced by anthropogenic aerosols in CanESM5
Authors: Chen Lingying , Bollasina Massimo A , Tett Simon F. B. , Chen Wen 
Published: February 2025

Abstract
The Siberian High (SibH), a prominent feature of the Northern Hemisphere atmospheric circulation, exhibited enhanced interdecadal variability since 1970, characterized by a sharp decline from 1970 to 1990 followed by a steep recovery from 1990 to 2010. The factors underpinning these variations are unclear. Using the CanESM5 large ensemble, including the single forcing simulations, we find that anthropogenic aerosols played an important role in influencing the above SibH trends on top of pronounced internally-generated variations. Changes in the SibH during both periods are embedded in aerosol-induced upper-tropospheric mid-latitude wave trains propagating from upstream regions, with subsequent downward propagation of the signal to the surface via three-dimensional dynamical adjustments. Further insights into the physical mechanisms using regional aerosol perturbation experiments with CESM1 reveal a dominant role of decreased North American aerosol emissions in driving the atmospheric wave train through interaction with the North Atlantic jet during the first period. In the second period, European aerosol emissions, characterized by a large and extensive decrease, are crucial to explain the SibH recovery. A better understanding of the factors driving multidecadal variability of the SibH, and in particular of the interplay between internal variability and external forcing, is critical to reducing uncertainties in future projections of regional extremes, such as cold surges, which can cause large social and economic impacts on densely populated East Asia.&#xD;
Drying Shrinkage and Heat of Hydration of Ternary Blended Concrete Incorporating Coal bottom Ash as Fine Aggregate Substitute
Authors: Mansour Mohammed A. , Ismail Mohd Hanif , Alshalif Abdullah Faisal , Ibrahim Mohd Haziman Wan , Mokhtar Norfaniza 
Published: February 2025

Abstract
This study evaluated the effects of metakaolin (MK), palm oil fuel ash (POFA), along with coal bottom ash (CBA) as partial fine aggregate replacement on drying shrinkage and heat of hydration (HOH) of concrete. Optimal proportions of MK, hybrid blend of MK and POFA, and the best combination of CBA with MK and POFA were determined based on the compressive strength. The optimization process showed that 15% MK is the optimal blend, a hybrid blend of 15% MK and 20% POFA is the best blend, and 10% CBA is the optimal addition when mixed with the blend of MK and POFA. The findings indicated that the incorporation of MK and POFA in concrete with or without CBA reduced the drying shrinkage. Additionally, concrete blended with MK and POFA with or without CBA reduced the temperature rise due to hydration. However, CBA mixed with combined MK and POFA resulted in a higher initial temperature compared to the reference concrete. In conclusion, MK, POFA and CBA can minimize the formation of cracks due to decreased shrinkage and HOH.
Development of Correlation Curve of The Compressive Strength-Maturity Index
Authors: Ngh K C , Jamaluddin N , Nurazuwa M N , Md Soffi M N , Herdawati B , Faiz M 
Published: February 2025

Abstract
The maturity method is not commonly practiced in estimating in-place concrete strength in Malaysia. However, knowing the in-place or real-time concrete strength is crucial for making critical decisions, such as removing formwork, scheduling post-tensioning operations, and fast-tracking construction projects like bridge repairs to minimize repair time and reduce facility closures. In this study, the maturity method was utilized in developing the correlation curve of Grade 25 concrete (C25), a typical concrete grade frequently used. The temperature of the cylinders was captured by thermocouples and MONSEC. The temperature of the cylinders was recorded using thermocouples. Temperature data from both devices were found to be accurate and consistent. The Nurse-Saul method, with a datum temperature of 32°F (0°C), was employed to calculate the maturity indices. These data were then used to develop the strength- maturity curves, validated through laboratory tests. The results indicate that the correlation curves accurately predict concrete strength, with minor variations of less than 10%. This demonstrates that the compressive strength-maturity index correlation curve is reliable for predicting concrete strength.
Enhancing the Effectiveness of Hybrid Reassurance Assessments by Third-Party Providers in Petrochemical and Refinery Integrated Megaprojects
Authors: Khalid Shaiful , Zainun Noor Yasmin 
Published: February 2025

Abstract
This study evaluates the effectiveness of hybrid reassurance assessments conducted by third-party assurance providers in petrochemical and refinery integrated megaprojects, with a specific focus on the COMPLEX-X project by COMPANY-X. Utilizing a mixed-methods approach, the research integrates quantitative analysis of QMS performance indicators and qualitative insights from document analysis to provide a comprehensive understanding of Quality Management Systems (QMS) effectiveness. Quantitative findings revealed significant improvements in compliance with ISO 9001:2015 standards, with the one-way ANOVA test indicating substantial differences in quality management effectiveness across project packages (F-statistic = 18.78, p-value = 3.59e-06). Qualitative analysis highlighted key themes and challenges in project execution and engineering, derived from structured workshops and internal document reviews. The hybrid reassurance assessments, incorporating best practices from COMPANY-X and COMPANY-Y, proved effective in enhancing operational readiness, improving risk management, and fostering robust stakeholder engagement. The study emphasizes the critical role of continuous training, advanced technology integration, and a culture of continuous improvement in driving QMS effectiveness. Based on the findings, recommendations include enhancing training programs, strengthening risk management frameworks, improving stakeholder communication, leveraging advanced technologies, and fostering a culture of continuous improvement. These insights aim to guide project managers and stakeholders in optimizing assurance processes, ultimately enhancing project outcomes and ensuring compliance with industry standards. By leveraging a comprehensive and integrative approach to QMS, COMPANY-X can continue to drive operational excellence, mitigate risks, and achieve sustainable growth in the highly competitive oil and gas industry. The study sets a benchmark for integrating quality management theories and practices in the context of large-scale petrochemical and refinery projects.
Mineralogical evolution of certain Saharan soils of Algeria (case of Ziban soils and the Oued Righ valley)
Authors: Boumaraf B , Saadi I , Guillaneuf A , Laouar S , Belaich K , Mebref N , Abid A , Hassina S 
Published: February 2025

Abstract
Our study area is located in the northeastern part of the Algerian Sahara, specifically in the Ziban and Oued Righ Valley regions. These lands are poorly understood from a pedogenetic perspective. This study represents an initial approach, combining both morphological and mineralogical analyses of recent and current soil covers. The interpretation of these data provides valuable insights for selecting targeted crops based on the type and significance of the edaphic constraints. Pedological analyses of the different morphological levels previously identified, combined with the results of mineralogical and microscopic investigations using X-Ray diffraction analyses, have demonstrated the role of inheritance and the aggradation of secondary minerals. These processes are predominant, with the exception of Attapulgite a fibrous mineral detected in some soil profiles which may result from neoformation. Additionally, at all levels, lateral inputs of sulfates from the closed depressions have contributed to the neoformation of gypsum. Microscopic examination revealed that gypsum invades, disrupts, and impedes the development of some secondary minerals. This phenomenon is attributed to the crystallization pressure of gypsum. This knowledge enhances our understanding of the dynamics governing soil formation and structural stability in these regions.
Effect of date palm compost on the yield, growth and quality of melon (Cucumis melo L)
Authors: Merad Mira , Guimeur Kamel , Boutalbi Houda 
Published: February 2025

Abstract
Sustainable agriculture is increasingly exploring natural by-products as effective alternatives to conventional chemical fertilizers. This study, conducted from February to May 2023 in a greenhouse environment at the University of Biskra, aimed to evaluate the impact of date palm compost (DPC) on the yield, growth, and quality of melon (Cucumis melo L.), compared to cattle manure (CM) and NPK mineral fertilizer. The experiment utilized was carried out in a randomized complete block design (RCBD) with four replicates per treatment, where each plot measured 0.8 m by 3 m and contained 10 melon plants. The treatments included 30 tons per hectare of DPC and CM, alongside 150 kg/ha of NPK (15-15-15) fertilizer. Results revealed that NPK fertilizer significantly enhanced vegetative growth, notably increasing leaf area and stem diameter, which indicates a strong positive effect on overall plant development. Conversely, DPC markedly improved fruit yield and positively influenced key phytochemical properties, such as total soluble solids (TSS % Brix) and juice pH, suggesting enhanced fruit quality. CM, applied at the same dose (30 t/ha), demonstrated less pronounced effects on both growth and yield compared to the other treatments. These findings highlight the potential of DPC as a valuable soil amendment, especially in arid and semi-arid regions where conventional fertilizers may be less sustainable. The results suggest that DPC offers a viable and environmentally friendly alternative to traditional chemical fertilizers, supporting both increased crop yield and improved fruit quality.
Influence of plant density and fertilizers on maize (Zea mays L.) yield in Niger
Authors: Idrissa A , Salifou Hadiza A , Bakary Hamani A 
Published: February 2025

Abstract
In Niger, maize (Zea mays L.) is widely consumed by the population, despite its low production in the national territory, which is linked to climatic constraints and soil. Hence, a study on the influence of plant density and fertilizers on maize yield of was carried out at the Maradi regional agricultural research center in Niger. The experimental set–up used is a split-plot with three replicates with the fertilization factor at four levels (F1: control, F2: farmyard manure applied at the rate of 5t/ha, F3: NPK fertilizer applied at the rate of 100kg/ha, F4: farmyard manure applied the rate of 5t/ha plus NPK fertilizer applied at the rate of 100kg/ha) in large plots and the sowing density factor at two levels (P1: one plant per poquet and P2: two plants per poquet) in small plots. The parameters measured are the biomass weight, the weight of cob, the weight of grains and the weight of 1000 grains. Analysis of results shows that the combination of farmyard manure applied at the rate of 5t/ha plus NPK fertilizer applied at the rate of 100kg/ha gave the highest biomass and grain yield. Analysis of results also shows that there is a significant difference between the treatments for all the parameters considered except for grain yield. Therefore, increasing plant density and application of fertilizer increases the biomass and maize grains yield, thus contributing to the achievement of food security.
Pore Pressure Predict Using Eaton Method and Sensitive Elastic Property Seismic of Overpressure Anomaly, Study Case: Poseidon Field, Browse Basin
Authors: Wahidaulhusna Sabda , Sukmawati Febrina Dyah 
Published: February 2025

Abstract
In the pre-development phase of oil and gas exploration, drilling new wells is crucial for maximizing hydrocarbon potential. In order to ensure safe drilling operations, it is necessary to study pore pressure for prevent kicks and, in the worst-case scenario, blowouts. The primary objective of pore pressure studies is to identify overpressure zones. This research utilizes open data from the Poseidon Field in the Browse Basin, Australia. Pore pressure estimation is conducted using sonic logs with the Eaton method, validated by mud weight data and Modular Dynamic Test (MDT) results. The Eaton method is determination by effective stress that is obtained by sonic data, hydrostatic pressure is assumed as gradient of 0.431 psi/ft, and overburden pressure that derived from density. Overpressure zones are indicated by pore pressure values that are higher than hydrostatic pressure and effective stress. Based on pore pressure calculations, top overpressure zone is identified in the Jamieson Formation. These findings are supported by rock property analysis, which reveals the accumulation of thick shale average at depths from 3500 to 3700 meters and hydrocarbon potential average at depths from 3700 to 4500 meters. Sensitivity analysis of elastic seismic properties, color-coded for pore pressure, is performed using cross-plot techniques. Analysis of Acoustic Impedance (AI) and Shear Impedance (SI) indicates that these parameters are sensitive to overpressure conditions. The cutoff value of the P-impedance parameter that overpressure occurs is below 9200 (m/s)*(gr/cc) and for S-impedance parameter, the cutoff value obtained is below 5400 (m/s)*(gr/cc). The overpressure anomaly manifests as low values in the elastic parameters of P-impedance and S-impedance. These characteristics arise because velocity is an effective function of stress. According to the Terzaghi equation, the increases of pore pressure is aligned with the decreases of effective stress, leading to the observed anomalies in the impedance values.
Modeling the Subsurface Structure Beneath Mount Lawu, Karanganyar and Magetan Regencies Based on Magnetic and Gravity Data
Authors: Brilliandi Octaviano , Bijaksana Satria , Fajar Silvia Jannatul 
Published: February 2025

Abstract
Indonesia is one of the countries with the most potential geothermal resources in the world. One of the mountains that is a prospective area in Java is Mount Lawu, which has an estimated resource of 195 MW and a hypothetical resource of 137 MW. Unfortunately, the data in previous study have not been thoroughly processed. In addition, the modelling carried out was limited to each method. Therefore, this research aims to reconstruct magnetic and gravity observation data and model the subsurface structure related to the location of geothermal reservoirs on Mount Lawu. The magnetic and gravity data used were obtained from the Geophysical Integrated Survey Team report of Mount Lawu in 2009. Before modeling, the gravity data was corrected again. Forward modelling was then carried out using Oasis Montaj. In this study, the susceptibility value used has a range of 000034 - 0.049 cm3/g, while the density value has a range of 1.6 - 2.82 g/cm3. The modelling is done by making three sections with the error range of the magnetic method from 11.597 - 16.712 nT and the gravity method from 1.587 - 2.95 mGal. From the modelling done, it resulted in a subsurface structure that matches the geological conditions. Geothermal reservoirs have been identified in the area around Candradimuka Fumarole at a depth of 1500 m from the surface and the rock is Jobolarangan Lava 1. It is hoped that the results of this research will be taken into consideration in determining the location of exploration wells in the Mount Lawu area so that they can be exploited as soon as possible.