bluuebunny/crossref_metadata_2025_split huggingface dataset:
Picture Perfect: Photometric Transient Classification Using the ParSNIP Model with Roman Hourglass Simulations
Authors: Abdelhadi Belal , Rubin David 
Published: December 2024

Abstract
The Roman Space Telescope, equipped with a 2.4 m primary mirror and optical–NIR wide-field camera, promises to revolutionize our understanding of dark energy, exoplanets, and infrared astrophysics. One of the Roman Core Community Surveys is the High Latitude Time Domain Survey (HLTDS), which will measure more than 10,000 SN Ia light curves but obtain a fraction of this number with spectra. The remaining SNe will have to be photometrically classified to achieve the full potential of the Roman HLTDS. To investigate transient yields and classifications, Rose et al. updated the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) framework (originally developed for the Vera Rubin Observatory) for the Roman HLTDS. This study leverages this Roman “Hourglass” data set to train and evaluate the ParSNIP (Parameterized Supernova Identification Pipeline) model. We employ this model to classify various transient types from photometric data, paying particular attention to the types most represented in the data set: normal SNe Ia, 91bg-like SNe Ia, SNe Iax, and CC SNe. The ParSNIP model's performance is assessed through confusion matrices and ROC curves across different redshift ranges. Our analysis reveals that while the model performs robustly at higher redshifts (with the AUC for classification varying between 0.9 and 0.95 in the range 0.5 ≲ z ≲ 2), its accuracy dips at the lowest redshifts of the survey, likely due to limited training data. These findings underscore the importance of ensuring adequate representation of classes in the training set. This work underscores the value of machine learning models for next-generation surveys, paving the way for future studies with the Roman Space Telescope for survey optimization, cosmological forecasts, and synergies with other surveys.
The use of Support Vector Machine learning method to predict moisture of building materials using the Time Domain Reflectometry
Authors: Suchorab Z , Mikušová D , Paśnikowska-Łukaszuk M , Juszczyński P , Trník A 
Published: December 2024

Abstract
This article shows the possibility to adopt Support Vector Machine (SVM) learning method to predict moisture of building materials measured by the Time Domain Reflectometry (TDR) method. TDR is an indirect technique of moisture detection. It enables to evaluate apparent permittivity of moist material and then predict moisture using physical or empirical models. In this research it is presented the method that avoids evaluation of apparent permittivity value and estimate moisture basing on the raw TDR waveforms. SVM is one of the most popular machine learning methods that could be used both for classification and regression modelling. It is mostly applied for analysing of multidimensional signals, but could be also applied to evaluate moisture from raw TDR signals. SVM regression model allows quick estimation of material moisture and achieve similar or better measurement accuracy comparing to the standard calibration methods. Research was conducted on two types of building materials – the red and the silicate bricks and data analysis confirmed the suitability of SVM models in determining moisture content using the TDR method.
Using the guarded axial heat flow method for heat flux meters calibration
Authors: Stepanić N , Milošević N 
Published: December 2024

Abstract
This paper proposes a practical solution for calibration of heat flux meters, typically used in assessment of energy efficiency of buildings, where specific heat flux values are usually below 100 Wm−2. Output signal of such sensors is dependent both on heat flux and temperature, while means for their calibration are currently limited to apparatuses operating according to the reference steady state thermal conductivity measurement methods. A guarded axial heat flow apparatus, that provides a measurable heat flux directed through the cross-section of disc-shaped sensors whose voltage response is acquired, may conveniently overcome some disadvantages of other steady state reference methods, primarily their time-consumption. A description of a heat flux meter calibration setup developed at the Institute VINČA is given in this paper. A key effect that significantly contributes to the calibration uncertainty is analyzed, as well as their corrections. Results of a calibration example are given in the last section.
FEM verification of natural convection loop model
Authors: Bulatović G , Bokes P 
Published: December 2024

Abstract
We compare the analytical results for a natural convection loop model with two-dimensional finite element method (FEM) simulations. We set the values for FEM simulations parameters to reflect oil circulation in a distribution transformer. We find that the calculated characteristics for the two approaches differ by less than 3%. This discrepancy is explained in terms of the variations in the fluid velocity profile.
The comparison of two polynomial regression models with one and two independent variables in moisture detection technique in building materials
Authors: Futa A , Jastrzębska M 
Published: December 2024

Abstract
The paper presents the depiction of moisture detection technique in building materials and contains two techniques of analysis including a detailed comparison of them. Namely, two models of polynomial regression models are presented: the first model with one independent variable and the second, multiple regression model, including two independent variables. The readouts describe the dependence between the moisture of building material evaluated gravimetrically and permittivity and signal voltage values designate by TDR technique. The correlation between the moisture content determined by the TDR and the moisture content appointed gravimetrically is presented. Based on the obtained data, two types of regression models are compared. The property and the quality of both models are discussed.
Optimized rad-hard DC/DC converters for HEP applications
Authors: van der Blij Nils H. , Koseoglou Sokratis , Bantemits Georgios , Ripamonti Giacomo , Michelis Stefano 
Published: December 2024

Abstract
The development of 48 V compatible DC/DC converters that are tolerant to high magnetic fields and radiation helps to reduce the cost and weight of the cabling, power supplies and cooling of High Energy Physics (HEP) experiments.
In this paper, a new, optimized and compact bPOL48V module is presented aimed at 48 V to 5–12 V power conversion.
This new module, which is available for purchase and as a reference design, reduces the size by 93% compared to previous designs while exhibiting similar efficiency.
Furthermore, a framework for optimizing and comparing converter topologies is also introduced, which identifies the 3-level buck topology as a promising topology for future research and development.
Moreover, experimental validation of different optimized converters is also provided.
The experimental results show that the 3-level buck topology is promising for 48 V to 5 V conversion stages, and that the Berkeley buck topology is promising for the development of 48 V to 1 V conversion stages.
Investigation of non-idealities of pulsing circuitry in the ALICE ITS3 MOSS monolithic sensor
Authors: Emiliani S. , Aglieri Rinella G. , Lemoine C. , Piro F. , Ripamonti G. , Snoeys W. , Suljic M. , Terlizzi L. 
Published: December 2024

Abstract
The MOSS wafer-scale monolithic sensor, designed for the vertex detector (ITS3) of the ALICE experiment, features a pixel input capacitance of ∼ 5 fF. Such a small input capacitance is needed to reach a satisfactory SNR with a low-power analog front-end (36 nW/pixel). This makes the design of the pulsing circuitry needed to characterize the front-end performance particularly challenging. As an example, measurements of the front-end of MOSS are presented, showing that even a parasitic capacitance less than 5 aF can significantly alter the charge injection from the pulsing circuit. In this contribution, design methods and solutions to address these challenges are detailed.
Biocompatible TA4 and TC4ELI with excellent mechanical properties and corrosion resistance via multiple ECAP
Authors: Li Liangzhong , Hao Liyu , Zhang Shuangle , Shen Shangkun , Liu Xing , Fu Engang 
Published: December 2024

Abstract
Titanium (Ti), characterized by its exceptional mechanical properties, commendable corrosion resistance and biocompatibility, has emerged as the principal functional materials for implants in biomedical and clinical applications. However, the Ti-6Al-4V (TC4ELI) alloy has cytotoxicity risks, whereas the strength of the existing industrially pure titanium TA4 is marginally inadequate and will significantly limit the scenarios of medical implants. Herein, we prepared ultrafine-grained industrial-grade pure titanium TA4 and titanium alloy TC4ELI via the equal channel angular pressing method, in which the TA4-1 sample has ultrahigh strength of 1.1 GPa and elongation of 26%. In comparison with the micrometer-crystalline Ti-based materials, it showed a 35% reduction in wear depth and more than 10% reduction in wear volume, while the difference in the corrosion potential of the simulated body fluids was not significant (only ∼20 mV). XRD, electron backscatter diffraction, and transmission electron microscope characterization confirms that their superior strengths are mainly due to grain refinement strengthening.
Green hydrogen in the iron and steel industry increases resilience against shocks in energy prices
Authors: Leuratti Nicola , Marangoni Giacomo , Drouet Laurent , Kamp Linda M , Kwakkel Jan 
Published: December 2024

Abstract
Geopolitical tensions and conflicts can disrupt energy markets, threatening international energy supply security and imposing financial stress on energy-intensive industries reliant on imported fossil fuels. Exploring the challenges and opportunities associated with supply diversification is crucial for understanding the potential for hard-to-abate industry decarbonization under the risk of future energy price shocks. In this context, we investigate the role of green hydrogen as a viable and sustainable alternative to natural gas applications in iron and steel manufacturing. We first quantify how the integration of green hydrogen into the existing infrastructure can complement stringent climate action ambitions in reducing CO2 emissions over the next five decades. We find that green hydrogen acts as a transitional technology, enabling a gradual shift towards electrification of heat supply while bridging the gap until low-carbon steel technologies become commercially feasible. Furthermore, we assess the benefits of timely green hydrogen investments in mitigating the economic repercussions of unforeseen natural gas price surges. Overall, this study underscores the potential of green hydrogen in decarbonizing the iron and steel industry while promoting energy independence, but it also highlights its contingency on sufficiently ambitious climate policies and adequate technological advancements.
Cryptocurrencies investing trends in the context of Environmental, Social and Governance
Authors: Juškaitė L , Tamošiūnienė R 
Published: December 2024

Abstract
The changing environment forces investors to evaluate investments not only from a financial point of view, but also in terms of environmental, social and governance (ESG). Cryptocurrencies are no exception in this case. There are still a few cryptocurrency studies that are designed to evaluate cryptocurrencies and investments in them in the context of ESG. The purpose of this topic is to define theoretically the compliance of investing in cryptocurrencies with ESG criteria by identifying research trends. This study uses scientific literature and bibliometric analysis to investigate the relevance and trends of the field of investments in cryptocurrencies in the context of ESG.
Energy policies and energy safety management: advancing environmental sustainability
Authors: Ismailov Taner , Savina Natalia , Kabakchieva Tsvetelina , Sribna Yevheniia , Murashko Iryna 
Published: December 2024

Abstract
The relevance of the research topic is due to geopolitical challenges and military conflicts, which have necessitated a revision of national energy policy, setting the task of replacing traditional energy resources with more environmentally friendly ones, while simultaneously reducing direct dependence on external suppliers. The study examines the main global energy systems: the EU, the USA, and China. The changes in the legal framework supporting energy development and energy policies of these countries have been assessed. It was noted that China’s policy for obtaining hydrogen energy is the most efficient and cost-effective, and at the same time, it is aimed at a comprehensive long-term development period until 2035. The study revealed that technological solutions for industrial hydrogen production are most effective in the EU, which allows for a 20% increase in overall production efficiency. The EU has established institutional approaches in the form of creating a hydrogen bank to effectively innovative de velopments in the hydrogen energy sector through a market-based auction mechanism. The research also demonstrated that in the EU, innovative projects in the field of hydrogen energy production could reduce production costs to 0.5 euros per kilogram. The research indicated the beginning of competitive rivalry between the USA, China, and the EU in capturing leading positions in the production of environmentally friendly hydrogen energy. It was noted that the analyzed countries pay significantly less attention to the development of logistics and storage systems for hydrogen energy.
Fine particulate matter (PM2.5) concentration in air pollution and its correlation with related factors - A case study in Hanoi city, Vietnam
Authors: Hoang Anh The , Dau Khac Tai , Hoang Thi Thuy , Phan Thi Quynh Nga , Phan Thi Thao 
Published: December 2024

Abstract
Air pollution is becoming increasingly serious, adversely affecting human health in many countries, including Vietnam. Among the factors causing air pollution, PM2.5 is the main cause of disease and premature mortality. This study presents the current status of PM2.5 in the air of Hanoi city in 6 months (from 02 June 2023 to 30 November 2023) from automatic monitoring data of 7 monitoring stations. The Kriging spatial interpolation method was used to establish the pollution distribution map and the Multivariate Linear Regression (MLR) model was used to establish the relationship between PM2.5 concentration and related factors. The results show that PM2.5 concentration in the air in Hanoi is very high, 94% of the monitored values exceed the safety limit of the World Health Organization (WHO). Compared to summer months, the winter months have higher PM2.5 concentrations in the air. From the correlation equations, the study also shows that PM2.5 concentration is positively correlated with CO and NO2 emissions and negatively correlated with temperature.
The Effect of Curing Period on Mechanical Properties of Bamboo
Authors: Purnamawati Solin Dian , Estikhamah Fithri , Farichah Himatul , Alif Hutama Dio , Dwi Puspitasari Nia 
Published: December 2024

Abstract
Bamboo is increasingly recognized as a renewable and environmentally friendly construction material due to its strength, affordability, and rapid renewability. Particularly in geotechnical applications, bamboo proves to be an effective solution for soil reinforcement and stabilization, offering an eco-friendly alternative to traditional construction materials. This paper evaluates the effects of 7-day and 14-day water curing treatments on bamboo’s moisture content, bulk density, and compressive strength, providing valuable insights into its mechanical properties for sustainable construction. The methodology involves cutting bamboo samples from different sections (bottom, middle, and upper) and immersing them in water baths for the designated periods, ensuring consistent and controlled treatment conditions. Results indicated a significant increase in both moisture content and compressive strength with extended curing periods, while bulk density remains stable across all samples. These findings demonstrate that bamboo’s mechanical properties improve with curing, enhancing its potential as a durable and sustainable construction material. The study highlights bamboo’s role in addressing modern construction challenges through sustainable practices and innovative engineering solutions.
The challenge of classification of argillaceous soft rock (HSSR)
Authors: Metzler Ines , Bostjancic Thomas , Marcher Thomas 
Published: December 2024

Abstract
This research aims to comprehensively investigate the geological and geotechnical parameter ranges of the argillaceous, hard soil/soft rock (HSSR) Unterangerberg formation to be expected for a thorough laboratory testing campaign of this lithology. A literature review and analysis of past project data establish realistic parameter ranges. These allow for material behavior predictions and geotechnical model development for the Angath adit construction in Tyrol, Austria. Ongoing comparisons with new data obtained during construction allow continuous model refinement, ensuring effective consideration of geological and geotechnical aspects. Despite variations in certain laboratory parameters like uniaxial compressive strength and slake durability index, correlations with Youngs modulus and swelling potential show the complex nature of material behavior. Integrating new data and adaptive modeling are considered crucial for successful implementation of underground construction in HSSR formations.
Enhancing Rock Mass Characterization with Advanced Pre-Processing of MWD Data
Authors: Sapronova Alla , Marcher Thomas , Soliman Abdalla , Klein Franziska 
Published: December 2024

Abstract
In the construction project, a precise characterization of rock masses is crucial for the safety and effectiveness of the project. The problem of low accuracy in rock mass characterization (RMC) using analytical methods can often be attributed to data quality issues, like sparsity, outliers, and measurement errors, particularly in complex geological settings. This study demonstrates how the preprocessing of Measurement While Drilling (MWD) data can improve the accuracy of machine learning (ML) models for RMC. In this work a correlational analysis of the MWD dataset has been used as the main pre-processing procedure: for each drilling event (single borehole) a matrix of correlation coefficients was calculated. ML models showed higher accuracy when correlation coefficients were used for training in addition to MWD data. The analysis shows that informational content (the amount and quality of useful information that the dataset provides for analysis) in the dataset composed of correlation coefficients is comparable to, if not greater than, that of the original data. Moreover, it was discovered that correlation coefficients showed increased variability and therefore can enrich the original dataset with more nuanced details. It was concluded that datasets with added correlation coefficients are better suited for ML model training leading to higher predictive accuracy and robustness of ML models.
Chemical Analysis to Determine Coal Rank in Ombrob Village Coal Deposits, Nimboran District, Jayapura Regency, Papua
Authors: Karolus Meak Karel , Medy Tandy Lia , Hartiningsih Endang , Virman  
Published: December 2024

Abstract
This research aims to determine the chemical characteristics and rank of coal from coal deposits in Ombrob Village, Nimboran District, Jayapura Regency, Papua. Three samples obtained from the results of field investigations, namely OBB-1, OBB-2 and OBB-3, were then analyzed at the Tekmira Bandung Lab using proximate, ultimate and calorific value analysis methods. Based on laboratory analysis, the average proximate analysis value for the three Ombrob coal samples (OBB-1, OBB-2 and OBB-3) was obtained, namely moisture content 26.67% (adb), ash 17.04% (adb), volatile matter 35.85% (adb), fixed carbon 20.45% (adb). The average results of ultimate analysis for the three samples are carbon 38.28% (adb), hydrogen 5.73% (adb), nitrogen 0.93% (adb), total sulfur 3.68 (adb), oxygen 34.34% (adb). Meanwhile, the analysis results for Gross Calorific Value (GCV) in the OBB-1 sample are 3616 cal/gr, (adb), OBB-2 is 3704 cal/gr, (adb) and OBB-2 is 3594 cal/cal (adb) with the overall average GCV in the three samples was 3638 cal/gr, (adb). Using the Parr formula, the average fixed carbon (FC) conversion value for the three samples is 37.62% (dmmf), the average volatile matter (VM) is 62.38% (dmmf), the average GCV for the three samples is 4340 (Blu/lb. mmmf). Based on ASTM D388, Ombrob Village’s coal is ranked into lignite-B rank coal.
Elemental Mass Balance Calculation of the Hydrothermal Alteration in Awak Mas Gold Deposit, Sulawesi Island, Indonesia
Authors: Permatasari A , Pratiwi W A S , Parningotn M R , Ernowo  , Sitohang S 
Published: December 2024

Abstract
Primary gold mineralization is associated with the hydrothermal processes. Interaction between the hydrothermal fluids and the wall rock resulting an alteration which characterized and indicated a mineralization process. The understanding of the mechanisms of alteration requires quantification of elemental changes in proximal to distal alteration zones. This study was conducted on an orogenic gold deposit at Awak Mas determine the lithogeochemical in each alteration zone caused by the hydrothermal processes. A total of eight schist rock samples geochemical data were applied in this study representing the least altered, quartz-albite zone, and albite-ankerite-pyrite zones. Major elements geochemical data was resulted by XRF analysis, and trace elements obtained by ICP-MS analytical method. The calculation method for mass balance during alteration is carried out using Microsoft Excel spreadsheet software by applying the graphical isocon method. The calculation results show that there are gains and losses of elements that cause changes in rock volume and mass due to the reaction of hydrothermal solutions with wallrocks. From the least altered schist to quartz-albite zone, the alteration process increases 19,9% SiO2, 4.5% Na2O, 3.4% Fe2O3 and decrease of some elements, while Al and Ti were relatively immobile. This alteration process causes a gain in total rock volume of 20.7%. Furthermore, the alteration from quartz-albite to albite-ankerite-pyrite showed the gains of 0.16% SiO2, 0.43% Na2O, 1.3% SO3, 1.55% CaO, this reaction resulted in an additional volume to 9.7%. These calculations indicate that the hydrothermal solution is dominated by silica and sodium elements which form the secondary minerals of quartz and albite in distal zone. In the proximal alteration zone, which carries gold mineralization besides silica and sodium there is also characterized by enrichment of calcium, iron and sulfur which results in the formation of ankerite and pyrite. Gold is associated with pyrite which are formed in the albite-ankerite-pyrite zone.