bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of zinc oxide on dielectric properties of forsterite coated titanium based medical implants
Authors: Pandey Ankur , Sahoo Swagatadeb 
Published: May 2024

Abstract
Zinc oxide-doped forsterite solutions are synthesized through the sol-gel approach by varying the weight percentage of zinc oxide. These solutions are then applied to titanium (Ti) substrates to form zinc oxide-doped forsterite coated Ti substrate samples using the dip-coating method. The structural and surface morphology analyses of the samples are conducted using x-ray Diffraction (XRD) and Scanning Electron Microscope (SEM). Dielectric properties, encompassing dielectric constant, dielectric loss, alternating current conductivity, loss tangent, and relaxation time are explored at room temperature over a frequency range of 200 MHz to 20 GHz utilizing a Vector Network Analyzer (VNA) setup. The impact of zinc oxide on the structure, morphology, and dielectric properties of the samples, particularly in medical implant applications, is extensively discussed. The results indicate that samples with a higher weight percentage of zinc oxide demonstrate superior dielectric characteristics.
Cosmology of Barrow holographic QCD ghost dark energy and a look into the thermodynamics
Authors: Altaibayeva Aziza , Chattopadhyay Surajit , Umurzakhova Zhanar 
Published: May 2024

Abstract
The present study endeavours to study the cosmology of QCD ghost dark energy based on Barrow holographic fluid, a particular example of Nojiri-Odintsov holographic dark energy (2006, General Relativity and Gravitation, 38, 1285–1304); (2017, The European Physical Journal C, 77, 1–8). The Hubble parameter is reconstructed and according the equation of state parameter is reconstructed for the Barrow holographic QCD ghost dark energy. It is observed that the effective equation of state parameter has a transition from quintessence to phantom and for the current universe the equation of state parameter is very close to −1. The deceleration parameter is computed based on the reconstructed Hubble parameter and it is observed that the model can have a transition from decelerated to accelerated universe. The statefinder trajectories are plotted and an interpolation between dust and ΛCDM phases is observed. Finally, the thermodynamics is studied considering apparent horizon as the enveloping horizon of the Universe.
Lie group analysis of bingham plastic flow over a straining surface in the presence of magnetohydrodynamic effects and slip conditions
Authors: Ali Shahbaz 
Published: May 2024

Abstract
This paper investigates the two-dimensional flow of a Bingham plastic over a straining surface subjected to an externally applied magnetic field and surface slips. The study aims to understand the behavior of such flows and their response to external factors, which has applications in various industrial processes involving complex fluid dynamics. Through Lie group analysis, a new set of similarity transformations are derived to reduce the number of variables in the governing partial differential equations, facilitating a more tractable analysis. These transformations enable the conversion of the partial differential equations into a self-similar system of ordinary differential equations. A high-order, three-stage Lobatto IIIa formula along with appropriate boundary conditions is applied to solve this system. The solutions obtained for various physical parameters lead to several key deductions. It is found that under constant physical parameter values, the velocity layer thickness of the plastic flow is lower compared to the thermal layer thickness, indicating the dominance of the plastic flow behavior. Additionally, an increase in the magnetic field results in a reduction in the thickness of the plastic boundary layer, highlighting the significant influence of magnetic fields on the flow characteristics. These findings provide valuable insights into the control and optimization of processes involving Bingham plastic flows, particularly in the presence of magnetic fields and surface slips.
Optimal Fitting and Debiasing for Detectors Read Out Up-the-Ramp
Authors: Brandt Timothy D. 
Published: May 2024

Abstract
This paper derives the optimal fit to a pixel’s count rate in the case of an ideal detector read out nondestructively in the presence of both read and photon noise. The approach is general for any readout scheme, provides closed-form expressions for all quantities, and has a computational cost that is linear in the number of resultants (groups of reads). I also derive the bias of the fit from estimating the covariance matrix and show how to remove it to first order. The ramp-fitting algorithm I describe provides the χ
2 value of the fit of a line to the accumulated counts, which can be interpreted as a goodness-of-fit metric. I provide and describe a pure Python implementation of these algorithms that can process a 10-resultant ramp on a 4096 × 4096 detector in ≈8 s with bias removal on a single core of a 2020 Macbook Air. This Python implementation, together with tests and a tutorial notebook, are available at https://github.com/t-brandt/fitramp. A companion paper describes a jump detection algorithm based on hypothesis testing of ramp fits and demonstrates all algorithms on data from JWST.
Likelihood-based Jump Detection and Cosmic Ray Rejection for Detectors Read Out Up-the-ramp
Authors: Brandt Timothy D. 
Published: May 2024

Abstract
This paper implements likelihood-based jump detection for detectors read out up-the-ramp, using the entire set of reads to compute likelihoods. The approach compares the χ
2 value of a fit with and without a jump for every possible jump location. I show that this approach can be substantially more sensitive than one that only uses the difference between sequential groups of reads, especially for long ramps and for jumps that occur in the middle of a group of reads. It can also be implemented for a computational cost that is linear in the number of resultants. I provide and describe a pure Python implementation that can process a 10-resultant ramp on a 4096 × 4096 detector in ≈20 s, including iterative cosmic ray detection and removal, on a single core of a 2020 Macbook Air. This Python implementation, together with tests and a tutorial notebook, are available at https://github.com/t-brandt/fitramp. I also provide tests and demonstrations of the full ramp fitting and cosmic ray rejection approach on data from the JWST.
Multi-objective global optimization approach predicted quasi-layered ternary TiOS crystals with promising photocatalytic properties
Authors: Xiang 向 Yi-Jie 依婕 , Gao 高 Siyan 思妍 , Wang 王 Chunlei 春雷 , Fang 方 Haiping 海平 , Duan 段 Xiangmei 香梅 , Zheng 郑 Yi-Feng 益峰 , Zhang 张 Yue-Yu 越宇 
Published: May 2024

Abstract
Titanium dioxide (TiO2) has attracted considerable research attentions for its promising applications in solar cells and photocatalytic devices. However, the intrinsic challenge lies in the relatively low energy conversion efficiency of TiO2, primarily attributed to the substantial band gaps (exceeding 3.0 eV) associated with its rutile and anatase phases. Leveraging multi-objective global optimization, we have identified two quasi-layered ternary Ti–O–S crystals, composed of titanium, oxygen, and sulfur. The calculations of formation energy, phonon dispersions, and thermal stability confirm the chemical, dynamical and thermal stability of these newly discovered phases. Employing the state-of-art hybrid density functional approach and many-body perturbation theory (quasiparticle GW approach and Bethe–Salpeter equation), we calculate the optical properties of both the TiOS phases. Significantly, both phases show favorable photocatalytic characteristics, featuring band gaps suitable for visible optical absorption and appropriate band alignments with water for effective charge carrier separation. Therefore, ternary compound TiOS holds the potential for achieving high-efficiency photochemical conversion, showing our multi-objective global optimization provides a new approach for novel environmental and energy materials design with multicomponent compounds.
Application of GIS to monitor the impact of urbanization on surface water quality in Kim Dong district, Hung Yen province, Vietnam
Authors: Nong Duong H. , Ngo An T. , Vo Cong H. , Nguyen Tien X. 
Published: May 2024

Abstract
Rapid urbanization profoundly affects surface water quality in lower-income countries, often extending pressure on resources beyond urban areas. This study assesses the impact of urbanization on surface water quality in Kim Dong district, highlighting its broader implications for the Red River Delta. The demands of urban systems significantly strain natural resources, notably water, impacting both human consumption and environmental sustainability. With a focus on less developed regions where water infrastructure may be limited, ensuring sufficient water supply as these areas grow presents a complex challenge. The economic and population growth in Kim Dong district has heightened water demand in recent years. Despite ample water sources, Kim Dong district is facing surface water pollution, leading to shortages for domestic, agricultural, and industrial use. This study aims to evaluate surface water quality using the Water Quality Index (WQI) and examine urbanization’s impact, employing GIS to map pollution loads across communes. Results of the study reveal significant water quality deterioration, notably in areas with high population density and industrial concentration, causing severe pollutant loads in rivers. Hierarchical Cluster Analysis (HCA) and Discriminant Analysis (DA) was utilized to classify communes into three distinct clusters based on pollutant loads, emphasizing Luong Bang town and adjacent communes as high-load areas. The study demonstrates a strong positive correlation between population density and pollutant loads, indicating the profound impact of urbanization on water quality. Our research calls for strict monitoring of discharge sources, especially from industries and residential areas, emphasizing compliance with environmental regulations. It recommends regular drainage system maintenance, comprehensive environmental assessments for future development plans, and consistent efforts to mitigate urbanization’s adverse effects on surface water in Kim Dong district. These measures aim to sustainably manage water resources and safeguard environmental integrity amidst rapid urbanization.
Assessing the water potential and wastewater load capacity of the La Tinh River, Binh Dinh province by MIKE 11AD and Ecolab model combined with GIS method
Authors: Hai Au Nguyen , Thi Tinh Au Nguyen 
Published: May 2024

Abstract
The study used the NAM model of flow simulation with a time series of 14 years (2008 - 2021), statistical analysis method, and MIKE 11 AD water quality model, and Ecolab combined with GIS method to calculate wastewater reception capacity and load capacity of the basin. The model validation is highly reliable with a model efficiency factor of R2 of 0.777 and BIAS = 5%. The results of the application of the NAM model have determined the daily flow series of 14 years (2008 - 2021) and the average flow characteristics of many years of the La Tinh basin such as Qo flow is about 5.9; 6.0 m3/s, total amount of Wo = 292.1; 188.8 million m3 flow modulus Mo = 19.3 l/s-km2 flow class Yo = 611 mm and flow coefficient α= 0.3 for all sub-basins. The results of the study show that the capacity of receiving wastewater, the capacity of most river sections in the La Tinh basin is still received with five parameters at a relatively high level, the section of the Binh Tri river upstream alone has exceeded its capacity to receive. This is one of the very useful tools in integrated management and effective use management of river basin water resources.
Application of land-use change model for supporting land-use planning in An Bien district, Kien Giang province, Vietnam
Authors: Chi Quang Truong , Thi Kim Tien Danh , Hong Thao Nguyen , Quang Minh Vo 
Published: May 2024

Abstract
Forecasting land-use change is a critical step in assisting land-use planning, especially for coastal areas that are influenced by many economic and natural environmental factors. This study aims to estimate land use changes based for An Bien district, Mekong Delta based on multi-criteria assessment of factors affecting land use change. The model has been calibrated with the 2015 land-use map and verified with the 2020 map. The results of land-use change analysis in An Bien district were carried out according two scenarios: (i) forecasting the area under present conditions and (ii) forecasting land use area in the case of economic benefits and suitable environmental conditions for aquaculture production. Scenario 1 showed that the results will not change much compared to the current situation, in which rice-shrimp plays a leading role locality, however Scenario 2 showed that shrimp area will rapidly rise. In general, the simulation results allow users to explore future planning possibilities and serve as a basis for selecting appropriate land-use types.
Evaluating Trends of Temperature Index in Gia Lai Province Based on IITA and IPTA Approaches under Climate Change
Authors: Minh Hai Le , Thi Ha Phan , Nguyen Dong Phuong Dang , Thi Hong Nguyen , Duy Liem Nguyen , Minh Dung Ho 
Published: May 2024

Abstract
This study performs historical trend analysis for average, maximum, and minimum temperatures using the integration of the Improved visualization for trend analysis (IITA) and Innovative Polygon Trend Analysis (IPTA) of Şen to evaluate the tendency of extreme temperatures on different time scales (annual, monthly and seasonal) in Gia Lai province from 1980 to 2019 at three stations, including Pleiku, AyunPa, and An Khe. Results recorded over the past four decades, the temperature trend in Gia Lai has been gradually warming. The average temperature in each month of the year ranges from 19 to 28°C, December and January usually have the lowest temperature of the year with a variation lower than 20°C. On the contrary, the months of April, May, and June often have the highest temperatures of the year, with a variation greater than 26°C. The outcomes of this research have provided a general picture of temperature characteristics, useful information for the management and planning of land use, irrigation and water supply in Gia Lai province under unpredictable climate change.
Environmental Quality Monitoring Using Remote Sensing Ecological Index (RSEI) in Can Tho City, Vietnam.
Authors: Diep N T H , Nguyen N T , Hieu D C , Huong N T T , Trang D H 
Published: May 2024

Abstract
The significance of green spaces and ecological priorities in urban areas–two major concepts and advancements in Vietnam's recent urban growth, particularly in Can Tho City–is addressed by urban planning. An ecological assessment necessitates participating in urban planning and the eco-environment protection system. This study evaluated the change in the ecological quality of Can Tho City in the period 2015 - 2020 by approaching remote sensing indicators and statistical methods. Using Landsat 8 OLI satellite data from 2015 to 2020, four indicators were calculated in this study: heat (LST), dryness (NDBSI), wetness (WET), and greenness (NDVI). These indices were then applied using the Principal Component Analysis (PCA) method to estimate the Remote Sensing Ecological Index (RSEI). According to the data, the RSEI mean was 3.66 in 2015 and 3.60 in 2020. In 2015, areas with good and very good ecological quality (EQ) accounted for 88.78% of the total natural area; by 2020, it was 84.75%. The areas with low quality increased from 1.97% in 2015 to 3.49% in 2020. This indicates a decreasing trend in ecological quality within the area. The declining trend in urban ecological quality (UEQ) at Can Tho City between 2015 and 2020 can be objectively reflected by the RSEI and the shifting proportions of the ecological level. The results of RSEI provide fundamental data on the ecological quality of the urban environment to support policymakers, managers, and authorities in implementing and developing sustainable approaches to urban ecological conservation and environmental quality preservation.
Assessing impact of climate change on streamflow: A case study in Ba River watershed, Gia Lai province, Vietnam
Authors: Minh Hai Le , Minh Dung Ho , Ngoc Quynh Tram Vo , Thi Ha Phan , Thi Huyen Nguyen , Hoang Tu Le 
Published: May 2024

Abstract
Surface water resources have been impacted by climate change. Due to the Coupled Model Intercomparison Project Phase 6 (CMIP6), the Intergovernmental Panel on Climate Change (IPCC) published its sixth assessment report in recent years. Therefore, this study aimed to evaluate the impact of the latest climate change scenarios on surface resources. The Ba River watershed’s streamflow was simulated under current and climate change conditions utilizing Soil and Water Assessment Tool (SWAT) model. Two shared Socio-economic Pathways 1-2.6 and 5-8.5 from ACCESS-CM2, CanESM5, and HadGEM3-GC31-LL General circulation models were used. The simulated annual discharge showed that surface water resources will increase during the 2030s, 2050s, 2080s, and entire periods for all the climate change scenarios in the watershed. Additionally, surface water resource maps of the watershed were created for each period of the climate change scenarios. The results from this study have indicated the effective application of SWAT model in assessing the impact of climate change on water resources.
Assessment of land cover changes using sentinel-2 satellite image data: A case study of Thanh Hoa coastal area, Viet Nam
Authors: Thi Phuong To , Le Hung Trinh , Thi Giang Le , Xuan Bien Tran , Van Phu Le 
Published: May 2024

Abstract
Land use and management decisions heavily rely on the evaluating changes in land cover. Remote sensing techniques are becoming increasingly reliable and applicable, making them particularly useful for assessing and monitoring changes in land cover. In this study, the authors used Sentinel-2 MSI optical satellite image data and machine learning algorithms to classify and evaluate land cover changes in Thanh Hoa province’s coastal area between 2015 and 2023. Our research findings showed that Sentinel-2 MSI satellite image data can accurately interpret and classify land cover, with Kappa values ranging from 0.892 to 0.907. Furthermore, our findings indicated an increase in the area covered by build-up class. Meanwhile, vegetation cover and water surface class tend to decrease, especially the sharp decline of surface water. Research results help local policymakers develop land use plans in the direction of sustainable economic and social development.
Droplet bioprinting of acellular and cell-laden structures at high-resolutions
Authors: Kunwar Puskal , Aryal Ujjwal , Poudel Arun , Fougnier Daniel , Geffert Zachary J , Xie Rui , Li Zhen , Soman Pranav 
Published: May 2024

Abstract
Advances in digital light projection(DLP) based (bio) printers have made printing of intricate structures at high resolution possible using a wide range of photosensitive bioinks. A typical setup of a DLP bioprinter includes a vat or reservoir filled with liquid bioink, which presents challenges in terms of cost associated with bioink synthesis, high waste, and gravity-induced cell settling, contaminations, or variation in bioink viscosity during the printing process. Here, we report a vat-free, low-volume, waste-free droplet bioprinting method capable of rapidly printing 3D soft structures at high resolution using model bioinks and model cells. A multiphase many-body dissipative particle dynamics model was developed to simulate the dynamic process of droplet-based DLP printing and elucidate the roles of surface wettability and bioink viscosity. Process variables such as light intensity, photo-initiator concentration, and bioink formulations were optimized to print 3D soft structures (∼0.4–3 kPa) with a typical layer thickness of 50 µm, an XY resolution of 38 ± 1.5 μm and Z resolution of 237 ± 5.4 µm. To demonstrate its versatility, droplet bioprinting was used to print a range of acellular 3D structures such as a lattice cube, a Mayan pyramid, a heart-shaped structure, and a microfluidic chip with endothelialized channels. Droplet bioprinting, performed using model C3H/10T1/2 cells, exhibited high viability (90%) and cell spreading. Additionally, microfluidic devices with internal channel networks lined with endothelial cells showed robust monolayer formation while osteoblast-laden constructs showed mineral deposition upon osteogenic induction. Overall, droplet bioprinting could be a low-cost, no-waste, easy-to-use, method to make customized bioprinted constructs for a range of biomedical applications.
Systematic testing, verification and validation of laser treatments for unglazed earthenware affected by lichens and fungi biodeterioration
Authors: Ciofini D , Mazzotti V , Rondelli P , Salvadori B , Manganelli Del Fà R , Agresti J , Riminesi C , Siano S , Osticioli I 
Published: May 2024

Abstract
In recent years, there has been a growing interest in exploring environmentally friendly and healthy alternatives to conventional solvent cleaning and biocides in the conservation of stone artworks. Here, we focus on the potential of laser-based photonic methods for treating biodeteriorated earthenware artefacts. The investigation was conducted on Roman dolia (jars) of the International Museum of Ceramics, Faenza, Italy. Three removal methods were tested and compared: (i) brushing using a soft-bristled electric brush and water, referred to as brush cleaning; (ii) a combination of brushing and laser ablation; and (iii) biocide and brushing. Four laser systems with different wavelengths and optimized pulse durations in nanosecond or microsecond regimes were used in the tests. Systematic irradiation tests were conducted to determine the damage thresholds and define safe laser irradiation levels. The characterizations of the surfaces under treatment were carried out pre- and post-laser irradiation using optical microscopy, 3D photogrammetry, and Pulse-Amplitude-Modulated Chlorophyll-Fluorometry. Furthermore, spectroscopic methods based on FTIR, Raman, and LIBS techniques were used to assess the effectiveness of the removal process and the composition of uncovered surfaces. Results have indicated that gentle brushing and water is the most effective approach for safely removing around 60% of the bio-colonization weakly anchored to the substrate over the area under treatment. This comprised viable species, whereas the remaining 40% of the area included endolithic species, mostly thalli of Verrucaria nigrescens and rock-dwelling fungi. The eradication of the latter was the real conservation concern requiring attention. Following the experimentation, the optimal method for safely uncovering the earthenware surface was a combination of water-assisted brushing and 1064 nm laser irradiation as a finishing treatment.