bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics of Exposure and Sensitivity of Agricultural Sector to Climate Change in Yogyakarta Special Region as Observed by Geospatial Datasets
Authors: Zakariyah Mahmud , Wiwoho Bagus Setiabudi , Astuti Ike Sari , Kiloes Adhitya Marendra 
Published: November 2024

Abstract
The impact of climate change on agricultural productivity is evident. Higher temperatures, more extreme rainfall, and shorter growing seasons are leading to decreased agricultural yields. To address this, it is crucial to map the exposure and sensitivity of the agricultural sector to climate change in the Yogyakarta Special Region. This is especially important given the region’s heavy reliance on agriculture, particularly in Sleman, Bantul, Kulon Progo, and Gunungkidul Regencies. Mapping these factors aligns with the Intergovernmental Panel on Climate Change (IPCC) assessments. Exposure and sensitivity are evaluated using biophysical indicators over three periods: 2020, 2030, and 2050, under two Representative Concentration Pathway (RCP) scenarios, 4.5 and 8.5. The findings reveal three levels of exposure and sensitivity in the region: low, moderate, and high. Exposure values are projected to rise under both RCP scenarios across the studied periods. In Gunungkidul, Saptosari, Purwosari, Tanjungsari, and Panggang consistently exhibit high exposure levels, while Pakem and Cangkringan in Sleman maintain low exposure levels. Gedangsari and Rongkop in Gunungkidul show highest sensitivity, whereas Temon in Kulon Progo and Pakem in Sleman show lowest sensitivity. Therefore, it is important to develop plans to reduce these impacts.
Prediction of Land Cover Change in Pangkah Subdistrict, Tegal Regency, Indonesia Using Cellular Automata-Markov
Authors: Hakim M. A. , Hadibasyir H. Z. , Priyono K. D. , Sasmi A. T. , Surachman D. 
Published: November 2024

Abstract
Pangkah Subdistrict, strategically located next to Tegal Regency’s capital, is experiencing steady population growth. The growing population and rising demand for agricultural products create competition for land use. By integrating remote sensing with geographic information systems (GIS), it becomes possible to evaluate land-cover changes over time, forming a foundation for forecasting future land use in Tegal Regency. This study examines land-cover changes in Pangkah Subdistrict for the years 2007, 2015, and 2023, while also predicting land-cover for 2045 using the Cellular Automata-Markov method. The findings indicate a continuous increase in built-up land due to population growth, while agricultural land decreases each year. The modeling results will inform evaluations of spatial planning in Pangkah Subdistrict.
Monitoring Spatio-Temporal of Vegetation Indices Using NDVI and EVI Algorithms on Google Earth Engine (GEE) in Tuntang Watershed Area, Indonesia
Authors: Sari Dewi Novita , Rianti Dinia Izza , Sukmahati Satsabita Manik , Rini Atika Muzizati Puspita 
Published: November 2024

Abstract
Climate change affects increase rate in flood fluctuations, drought, and deforestation in watershed areas. The condition of Tuntang watershed has decreased in carrying capacity due to several factors. Google Earth Engine (GEE) is one of the significant technological breakthroughs in remote sensing and GIS. The aims to analyze the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) in the Tuntang watershed using GEE and analyze spatio-temporal variations in vegetation density conditions. The method is processing NDVI and EVI algorithms for five years (2018-2022). This research to the full set of images acquired with the Sentinel-2A sensor between August 2018 and September 2022. The findings indicated that the highest forest area for five years with the NDVI method was in 2018, namely dense to very dense density of 716.92 Ha (54.78 %), while in the EVI method, the highest in 2020 was moderate to dense density of 504.58 Ha (38.55%). Based on the accuracy test, NDVI and EVI have the same accuracy overall of 83.33%, with a kappa index of 0.78 NDVI and 0.79 for EVI. Based on the correlation test, both methods have a correlation value of 0.799, indicating a strong and unidirectional relationship.
Assessment of Groundwater Vulnerability to Pollution in the Metro Hilir Watershed Using the SINTACS Method
Authors: Adi Wibowo Muhammad Farhan , Masitoh Ferryati 
Published: November 2024

AbstractAssessment of groundwater vulnerability in the Metro Hilir watershed is necessary because most people use well water to meet basic needs. Identification and spatial analysis are the first steps to determine the potential for groundwater pollution in the area. The SINTACS method was used to assess the intrinsic vulnerability of groundwater using the parameters of groundwater table depth, effective infiltration, material in the unsaturated zone, soil texture type, aquifer media, hydraulic conductivity, and slope. Data processing was carried out by using Geographic Information System (GIS) techniques. Weight scenarios was used based on the hydrological conditions of the study area, namely “Normal Impact” and “Drainage/seepage”. The SINTACS index results was classified into several levels of vulnerability. The high vulnerability class is spread across the east to the south side, while the low vulnerability class is more dominant in the western area. The results of Sensitivity Analysis using the Map Removal technique showed that in both scenarios, soil texture parameters have the highest variation index value of 1.73% in the “Normal Impact” scenario and 2.13% in the “Drainage/Seepage” scenario. Parameters with high variation index values have a sensitive influence on vulnerability class values.
Improving dynamic energy absorption performance and stability loss prediction of an all-PET sandwich structure through artificial neural networks
Authors: Prodan Iulia Maria , Lache Simona , Berariu Andrei Ionut 
Published: November 2024

Abstract
One key characteristic that is frequently studied in composite sandwich structure mechanics is low-velocity impact performance.
Single polymer composites present higher ductility when compared to traditional glass fibre and carbon fibre reinforced plastic composites (GFRP, CFRP), which makes them strong candidates for impact energy absorption. These lightweight structures are also fully recyclable due to their all-PET constituents, an important aspect when considering possible applications.
In this paper an existing second order composite SrPET and PET foam sandwich structure (self-reinforced poly-ethylene terephthalate matrix and fibre) is numerically investigated for optimal structural design configuration under out-ofplane, low velocity, dynamic loading. The study explores the parametric geometry interdependencies of the structure’s configuration with respect to its energy absorption potential. The results are then compared to the quasi-static loading performance behaviour studied by M.N. Velea et all [1]. This work provides a deeper understanding of how geometry configurations can influence energy absorption capabilities highlighting structural strengths and weaknesses while exploring non-equilateral triangle configurations.
The Design Space Exploration (DSE) is carried out by using an optimization algorithm for a dynamic out of plane 3D impact simulation based on the finite element (FE) method software. The synergy between DSE and FE generates a guided simulation loop that can successfully be used to train a neural network to predict the dynamic behaviour of different geometric configurations from the exploration space.
Based on the data samples obtained, an artificial neural network (ANN) is built to predict the energy absorption capacity for a given set of structural design parameters, useful in experimental validation test cases.
A study of the effects of welding parameters on macrostructure properties and heat distribution in FSW of aluminium metal matrix composite
Authors: Pop-Calimanu Marius 
Published: November 2024

Abstract
The objective of this study is to present the effects of welding variables, specifically traverse speed and rotational speed, on the macrostructure of an aluminium metal matrix composite. This investigation includes comprehensive thermal monitoring and measurements within the weld joint area, utilizing infrared thermography to track the primary stages of friction stir welding (FSW). By examining different areas of the weld, to study aims to elucidate how temperature is distributed across the aluminium metal matrix composite in relation to the specific parameters of the FSW process, and to determine the subsequent impact on weld quality. Using infrared thermography, the researcher not only maps the thermal profile during welding, but also correlates these thermal variations with macrostructural changes in the aluminium metal matrix composite. This method allows for precise detection of temperature fluctuations and provides a detailed understanding of how traverse speed and rotational speed influence thermal distribution. Moreover, the study demonstrates the efficacy of thermography as a valuable tool for assessing weld quality. By capturing real-time thermal images, this technique enables the identification of potential defects and inconsistencies within the weld zone, facilitating a more thorough investigation into the integrity and performance of the welded joints. Ultimately, the findings aim to contribute to optimizing welding parameters on enhance the structural integrity and reliability of aluminium metal matrix composites in various applications.
Behaviour of AZ91 magnesium alloy in tension and torsion: experimental investigations and numerical modelling
Authors: Murariu Mihai-Alin , Rusu Lucian , Belgiu George , Serban Dan-Andrei 
Published: November 2024

Abstract
This study is concerned with the evaluation of the most appropriate plasticity model for simulating the behaviour of the AZ91 magnesium alloy in terms of accuracy and analysis times, based on experimental data obtained from tensile and torsion tests. The material was supplied in ingot form, was subsequently cut using and automated saw and ISO 6892 round specimens were obtained through lathing. The test data was used to calibrate three hardening functions, namely the multi-linear hardening, Johnson-Cook power law hardening and the Ramberg Osgood plasticity model, with the former determining the best results.
Influence of dealloying on wetting behavior and adhesion properties of Cu-Zr-Al-Ag glassy ribbons
Authors: Hididis Petru , Nicolaescu Mircea , Hulka Iosif , Serban Viorel-Aurel 
Published: November 2024

Abstract
This research aims to clarify the correlation between dealloying conditions, surface chemistry, and wettability behavior in Cu-based metallic glassy ribbons. Investigating the influence of dealloying on the wettability of Cubased glassy ribbons is the focus of this study. Glassy ribbons composed of the Cu-Zr-Al(-Ag) alloy family were dealloyed in hydrofluoric acid (HF) solution, with molarities ranging from 0.01 M to 0.5 M for durations between 2 and 10 minutes, followed by a thorough cleaning in distilled water. The impact of dealloying parameters on water droplet adhesion was evaluated together with the droplets’ ability to resist detachment after mechanical disturbances. Such insights are pivotal for the development of novel superhydrophobic or superhydrophilic materials, which could find applications in diverse fields such as microfluidics and oil-water separation technologies. The research demonstrates the substantial effects of dealloying on Cu-Zr-Al(-Ag) glassy ribbons, showing significant alterations in surface morphology, elemental composition, and wettability, all influenced by dealloying conditions
Characterization of the properties of arc-welded aluminum matrix syntactic foam-filled tubes
Authors: Pados Gábor , Kemény Alexandra , Norbert Orbulov Imre 
Published: November 2024

Abstract
In this research, the authors aimed to manufacture and weld in-situ composite foam-filled tubes from expanded clay aggregate particles, AlSi12 aluminum matrix, and AlMgSi0.5 tubes using tungsten inert gas welding. Subsequently, the quality of the welded joints was examined after precipitation hardening heat treatment and without heat treatment, followed by the evaluation of the results. The welded joints were characterized by microstructural examinations, microhardness measurements, and hardness testing. It was found that the hardness of the tube can be increased with heat treatment after the welding by 23 % on average and that the heat input of the welding process causes silicon enrichment due to diffusion within the AlMgSi0.5 tube, which is accelerated by the heat treatment cycle.
Design and structural optimization of an assembled re-entrant auxetic structure
Authors: Șerban Dan-Andrei 
Published: November 2024

Abstract
Auxetics represent a class of metamaterials that possess the unique quality of exhibiting a negative Poisson ratio. Considering the fact that the cross-section is reduced during compressive loadings, this class of materials and structures exhibit superior energy absorption capabilities in impact loadings, as the density of the material increases near the contact region. In this study, a novel approach in obtaining re-entrant auxetic structures is presented, consisting of the assembly and joining of components with simple geometries, that can be manufactured through conventional means (as opposed to additive manufacturing). The dimensions and aspect ratios of the structural members was evaluated numerically in order to obtain the optimal stiffness and strength values for a given mass. The design aspect also included special features that allows the assembly through shape, which facilitates the subsequent joining operation (welding or brazing).
Exploring Antifungic Properties of Low Vacuum Dealloyed Recycled Brass Nanoporous Powder
Authors: Thalmaier Gyorgy , Argentina Sechel Niculina , Vida-Simiti Ioan , Hegyi Andreea 
Published: November 2024

Abstract
Fungal infections pose a significant health concern globally, due to the evermore common resistance to classical antifungal therapies. One possible way to overcome this tendency is to use new pathways offered by the nanotechnology. In this respect it has been studied the possibility of utilizing recycled waste in the form of brass machining chips that are transformed into micron-porous copper (particles) by vacuum dealloying. In a subsequent step it was evidenced the potential antifungal properties. To manufacture the samples powder metallurgy was combined with vacuum dealloying, and a complex characterization to study the possible utilization of these powders at a laboratory level. The machined precursor powders were low vacuum dealloyed (P∼10-1 torr) at 500 ˚C, 550 ˚C, 600 ˚C and 650 ˚C, and the dealloying time was set between 1-4 hours. The porous particles were characterized by SEM-EDS analysis. The antifungal property was evaluated by exposing the samples on a medium of Potato Dextrose Agar (PDA) previously contaminated with a solution of Aspergillus Niger spores. The growth of fungi was analysed daily up to seven days using optical microscopy.
Nanoporous Cu-based amorphous alloys prepared by selective dissolution in acidic media
Authors: Ambruș Sebastian , Muntean Roxana , Buzdugan Dragos , Codrean Cosmin 
Published: November 2024

Abstract
Functional nanoporous materials are considered a significant category of nanostructured materials that exhibit distinct characteristics like high surface area, porosity, and improved mass transport properties. These qualities render them suitable for a wide range of applications including catalysis, energy storage, biomedical fields, and electrochemical sensors. Dealloying or laser-induced technologies are the primary methods employed to fabricate such nanoporous materials.
Dealloying is a dependable top-down approach used to produce hierarchical, disordered nanoporous materials with customizable pore sizes in the range of a few nanometers. The process of dealloying involves the selective elimination or dissolution of one or more elements from an alloy through a corrosion mechanism, using various dealloying techniques, such as chemical, electrochemical, liquid metal, or vapor phase dealloying. In the present study, copper-based amorphous metallic ribbons (Cu75Ni6Sn5P10Ga4) were initially manufactured using the melt-spinning method. The Cu-based amorphous ribbons were structurally investigated by X-ray diffraction and thermal analysis. Subsequently, the ribbons were subjected to a dealloying treatment, using an acidic solution to selectively dissolve the nickel from their composition and to obtain a nanoporous structure. The microstructure and chemical composition of the ribbons before and after the dealloying process were investigated using scanning electron microscopy (SEM), combined with energy-dispersive X-ray spectroscopy. The dealloying process performed in 1 M H2SO4 solution at 25 °C for 60 minutes leads to a large number of nanopores, uniformly distributed onto the surface of the Cu-based ribbons.
Evaluation of Artichoke Extract as a Corrosion Inhibitor for Copper and OL45 in Aggressive Environments
Authors: Dima George-Daniel , Laurențiu Dan Mircea , Rudenko Nataliia , Faur Alin , George Vaszilcsin Cristian 
Published: November 2024

Abstract
Metal corrosion is a significant issue in areas such as transport, construction, or production, with effects on equipment productivity, user safety, and finally, the costs related to the replacement of affected components. Research in recent years has focused on the discovery of substances capable of significantly reducing the corrosion rate of metals and alloys with a minimal impact on the environment. A promising category of green corrosion inhibitors represents active components from natural extracts. Corrosion experiments have been focused on the use of artichoke (Cynara scolymus) stem extract as a corrosion inhibitor for copper and mild steels such as OL45 in H2SO4 0.5 mol L-1 and NaCl 3.5% environments. The electrochemical behaviour of the active components in the artichoke extract was studied using cyclic voltammetry on Pt electrode, and their inhibitory effect has been demonstrated by using electrochemical techniques such as linear voltammetry at a speed of 1 mV s-1 and chronoamperometry method in the absence, respectively, presence of 1, 2, 4, and 8 g L-1 extract. The variation of parameters such as corrosion potential Ecorr, corrosion current icorr, and impedance values with increasing concentrations shows that the artichoke extract greatly reduces the corrosion rate. To complement the corrosion studies carried out, quantum chemical calculations were performed by using the B3LYP/6-31G* basis set, and the descriptors EHOMO, ELUMO, dipole moment, ionization energy, and molecular hardness substantiated the inhibitory effect. Considering artichoke extract components, this study presents a potential prospect for using natural extracts in anti-corrosion protection as well as an ecological alternative to standard corrosion inhibitors.
Evaluation of the layering adhesion between PLA and TPE materials
Authors: Murariu Gabriel , Marin-Corciu Matei , Galațanu Sergiu-Valentin 
Published: November 2024

Abstract
The additive manufacturing industry has witnessed rapid growth and has applications across various sectors such as aerospace, automotive, healthcare, and consumer goods. Both Thermoplastic Elastomer (TPE) and Polylactic Acid (PLA) hold significant relevance in these industries because of their unique properties and environmental sustainability, thus driving the demand for research aimed at improving their compatibility and performance in multi-material printing processes. This study delves into the interlayer adhesion aspects of multi-material filament fabrication, particularly focusing on the incorporation of TPE and PLA. TPEs offer elasticity and flexibility, while PLA provides rigidity and biodegradability, making them an intriguing combination for a wide range of applications. Experimental investigations of mechanical properties, specifically tensile, compression, and Charpy impact tests, are conducted to evaluate the interlayer adhesion between TPE and PLA. This study aims to contribute to the understanding of interlayer adhesion in multi-material filament fabrication, focusing on the integration of TPE and PLA. Through experimental analysis and exploration of industrial applications, we seek to shed light on the potential of these materials in additive manufacturing and outline future directions for research and development in this field.
Initial stages of water absorption on CeO2 surfaces at very low temperatures for understanding anti-icing coatings
Authors: Åsland A C , Cooil S P , Mamedov D , Røst H I , Bakkelund J , Li Z , Karazhanov S , Wells J W 
Published: November 2024

Abstract
Anti-icing coatings are intended to prevent ice formation on surfaces, minimising the risk of surface-related damage and also reducing ice-related hazards in society. We demonstrate the usefulness of x-ray photoelectron spectroscopy (XPS) as a tool for investigating the anti-icing properties of surfaces simultaneously with their chemical composition by looking at the initial stages of water absorption on the surface of CeO2 coatings. CeO2 coatings are robust, hydrophobic, and transmit light, thus they are suitable for a range of applications. In this work, CeO2 coatings were grown by sputter deposition and transferred to an ultra-high vacuum chamber where they were cooled to ≈ 100 K and exposed to a H2O atmosphere at 1 × 10−8 mbar. XPS measurements were performed before and after the exposure to H2O, in-situ and at cryogenic temperatures. The chemical composition of CeO2 did not change significantly during the experiment. Additionally, XPS revealed that little to no ice formed on the surface of CeO2 after the H2O exposure at ≈ 100 K. In contrast, ice was observed all over the sample holder on which the CeO2 was mounted. These findings suggest CeO2 is a promising candidate for future anti-icing coatings and that XPS is a useful technique to investigate the anti-icing properties of surfaces.
A statistical-based automatic detection of a low-contrast object in the ACR CT phantom for measuring contrast-to-noise ratio of CT images
Authors: Anam Choirul , Amilia Riska , Naufal Ariij , Fujibuchi Toshioh , Dougherty Geoff 
Published: November 2024

Abstract

Purpose. This study aimed to develop a new method for automated contrast-to-noise ratio (CNR) measurement using the low-contrast object in the ACR computed tomography (CT) phantom. Methods. The proposed method for CNR measurement was based on statistical criteria. A region of interest (ROI) was placed in a specific radial location and was then rotated around 360° in increments of 2°. At each position, the average CT number within the ROI was calculated. After one complete rotation, a profile of the average CT number around the full rotation was obtained. The center coordinate of the low-contrast object was determined from the maximum value of the profile. The CNR was calculated based on the average CT number and noise within the ROI in the low-contrast object and the ROI in the background, i.e., at the center of the phantom. The proposed method was used to evaluate CNR from images scanned with various phantom rotations, images with various noise levels (tube currents), and images from 25 CT scanners. The results were compared to a previous method based on a threshold approach. Results. The proposed method successfully placed the ROI properly in the center of a low-contrast object for variations of phantom rotation and tube current, whereas was not properly located in the center of the low-contrast object using the previous method. In addition, from 325 image samples of the 25 CT scanners, the proposed method successfully (100%) located the ROI within the low-contrast objects of all images used. The success rate of the previous method was only 58%. Conclusion. A new method for measuring CNR in the ACR CT phantom has been proposed and implemented. It is more powerful than a previous method based on a threshold approach.