bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detecting rare earth elements using EnMAP hyperspectral satellite data: a case study from Mountain Pass, California
Authors: Asadzadeh Saeid , Koellner Nicole , Chabrillat Sabine 
Published: September 2024

AbstractRare earth elements (REEs) exhibit diagnostic absorption features in the visible-near infrared region, enabling their detection and identification via spectroscopic methods. Satellite-based remote sensing mapping of REEs, however, has not been attainable so far due to the necessity for high-quality hyperspectral data to resolve their narrow absorption features. This research leverages EnMAP hyperspectral satellite data to map REEs in Mountain Pass, California—a mining area known to host bastnaesite-Ce ore in sövite and beforsite carbonatites. By employing a polynomial fitting technique to characterize the diagnostic absorption features of Neodymium (Nd) at ∼740 and ∼800 nm, the surface occurrence of Nd was successfully mapped at a 30m pixel resolution. The relative abundance of Nd was represented using the continuum-removed area of the 800 nm feature. The resulting map, highlighting hundreds of anomalous pixels, was validated through laboratory spectroscopy, surface geology, and high-resolution satellite imagery. This study marks a major advancement in REE exploration, demonstrating for the first time, the possibility of directly detecting Nd in geologic environments using the EnMAP hyperspectral satellite data. This capability can offer a fast and cost-effective method for screening Earth’s surfaces for REE signature, complementing the existing exploration portfolio and facilitating the discovery of new resources.
Machine learning-based predictions and analyses of the creep rupture life of the Ni-based single crystal superalloy
Authors: Zou Fan , Liu Pengjie , Chen Yanzhan , Zhao Yaohua 
Published: September 2024

AbstractThe evaluation of creep rupture life is complex due to its variable formation mechanism. In this paper, machine learning algorithms are applied to explore the creep rupture life span as a function of 27 physical properties to address this issue. By training several classical machine learning models and comparing their prediction performance, XGBoost is finally selected as the predictive model for creep rupture life. Moreover, we introduce an interpretable method, Shapley additive explanations (SHAP), to explain the creep rupture life predicted by the XGBoost model. The SHAP values are then calculated, and the feature importance of the creep rupture life yielded by the XGBoost model is discussed. Finally, the creep fracture life is optimized by using the chaotic sparrow optimization algorithm. We then show that our proposed method can accurately predict and optimize creep properties in a cheaper and faster way than other approaches in the experiments. The proposed method can also be used to optimize the material design across various engineering domains.
Quantifying DNA damage following light sheet and confocal imaging of the mammalian embryo
Authors: Chow Darren J. X. , Schartner Erik P. , Corsetti Stella , Upadhya Avinash , Morizet Josephine , Gunn-Moore Frank J. , Dunning Kylie R. , Dholakia Kishan 
Published: September 2024

AbstractEmbryo quality assessment by optical imaging is increasing in popularity. Among available optical techniques, light sheet microscopy has emerged as a superior alternative to confocal microscopy due to its geometry, enabling faster image acquisition with reduced photodamage to the sample. However, previous assessments of photodamage induced by imaging may have failed to measure more subtle impacts. In this study, we employed DNA damage as a sensitive indicator of photodamage. We use light sheet microscopy with excitation at a wavelength of 405 nm for imaging embryo autofluorescence and compare its performance to laser scanning confocal microscopy. At an equivalent signal-to-noise ratio for images acquired with both modalities, light sheet microscopy reduced image acquisition time by ten-fold, and did not induce DNA damage when compared to non-imaged embryos. In contrast, imaging with confocal microscopy led to significantly higher levels of DNA damage within embryos and had a higher photobleaching rate. Light sheet imaging is also capable of inducing DNA damage within the embryo but requires multiple cycles of volumetric imaging. Collectively, this study confirms that light sheet microscopy is faster and safer than confocal microscopy for imaging live embryos, indicating its potential as a label-free diagnostic for embryo quality.
Ocean warming and Marine Heatwaves unequally impact juvenile introduced and native oysters with implications for their coexistence and future distribution
Authors: Howarth Nate , Scanes Elliot , Byrne Maria , Ross Pauline M. 
Published: September 2024

AbstractClimate change is causing ocean warming (OW) and increasing the frequency, intensity, and duration of extreme weather events, including Marine Heat Waves (MHWs). Both OW and MHWs pose a significant threat to marine ecosystems and marine organisms, including oysters, oyster reefs and farmed oysters. We investigated the survival and growth of juveniles of two commercial species of oyster, the Sydney rock oyster, Saccostrea glomerata, and the Pacific oyster, Crassostrea gigas, to elevated seawater temperatures reflecting a moderate and an extreme MHW in context with recent MHWs and beyond. The survival and size of Pacific oysters to moderate MHWs (22–32 °C; 14 days) was greater than that for Sydney rock oysters (24–32 °C; 15 days). While survival and growth of both species was significantly impacted by extreme MHWs (29–38 °C; 5–6 days), Sydney rock oysters were found to survive greater temperatures compared to the Pacific oyster. Overall, this study found that Pacific oyster juveniles were more tolerant of a moderate MHW, while Sydney rock oyster juveniles were more resilient to extreme MHWs. These differences in thermal tolerance may have consequences for aquaculture and coexistence of both species in their intertidal and latitudinal distributions along the south-eastern Australian coastline.
Integrative analysis of multi-omics data reveals importance of collagen and the PI3K AKT signalling pathway in CAKUT
Authors: Bayjanov Jumamurat R. , Doornbos Cenna , Ozisik Ozan , Shin Woosub , Queralt-Rosinach Núria , Wijnbergen Daphne , Saulnier-Blache Jean-Sébastien , Schanstra Joost P. , Buffin-Meyer Bénédicte , Klein Julie , Fernández José M. , Kaliyaperumal Rajaram , Baudot Anaïs , ’t Hoen Peter A. C. , Ehrhart Friederike 
Published: September 2024

AbstractCongenital Anomalies of the Kidney and Urinary Tract (CAKUT) is the leading cause of childhood chronic kidney failure and a significant cause of chronic kidney disease in adults. Genetic and environmental factors are known to influence CAKUT development, but the currently known disease mechanism remains incomplete. Our goal is to identify affected pathways and networks in CAKUT, and thereby aid in getting a better understanding of its pathophysiology. With this goal, the miRNome, peptidome, and proteome of over 30 amniotic fluid samples of patients with non-severe CAKUT was compared to patients with severe CAKUT. These omics data sets were made findable, accessible, interoperable, and reusable (FAIR) to facilitate their integration with external data resources. Furthermore, we analysed and integrated the omics data sets using three different bioinformatics strategies: integrative analysis with mixOmics, joint dimensionality reduction and pathway analysis. The three bioinformatics analyses provided complementary features, but all pointed towards an important role for collagen in CAKUT development and the PI3K-AKT signalling pathway. Additionally, several key genes (CSF1, IGF2, ITGB1, and RAC1) and microRNAs were identified. We published the three analysis strategies as containerized workflows. These workflows can be applied to other FAIR data sets and help gaining knowledge on other rare diseases.
Intelligent tool wear prediction based on deep learning PSD-CVT model
Authors: Si Sumei , Mu Deqiang , Si Zekai 
Published: September 2024

AbstractTo ensure the reliability of machining quality, it is crucial to predict tool wear accurately. In this paper, a novel deep learning-based model is proposed, which synthesizes the advantages of power spectral density (PSD), convolutional neural networks (CNN), and vision transformer model (ViT), namely PSD-CVT. PSD maps can provide a comprehensive understanding of the spectral characteristics of the signals. It makes the spectral characteristics more obvious and makes it easy to analyze and compare different signals. CNN focuses on local feature extraction, which can capture local information such as the texture, edge, and shape of the image, while the attention mechanism in ViT can effectively capture the global structure and long-range dependencies present in the image. Two fully connected layers with a ReLU function are used to obtain the predicted tool wear values. The experimental results on the PHM 2010 dataset demonstrate that the proposed model has higher prediction accuracy than the CNN model or ViT model alone, as well as outperforms several existing methods in accurately predicting tool wear. The proposed prediction method can also be applied to predict tool wear in other machining fields.
The SRG/eROSITA diffuse soft X-ray background
Authors: Yeung Michael C. H. , Ponti Gabriele , Freyberg Michael J. , Dennerl Konrad , Liu Teng , Locatelli Nicola , Mayer Martin G. F. , Sanders Jeremy S. , Sasaki Manami , Strong Andy , Zhang Yi , Zheng Xueying , Gatuzz Efrain 
Published: September 2024

Context. The SRG/eROSITA All-Sky Surveys (eRASSs) combine the advantages of complete sky coverage and the energy resolution provided by the charge couple device and offer the most holistic and detailed view of the diffuse soft X-ray background (SXRB) to date. The first eRASS (eRASSl) was completed at solar minimum, when solar wind charge exchange emission was minimal, providing the clearest view of the SXRB.
Aims. We aim to extract spatial and spectral information from each constituent of the SXRB in the western Galactic hemisphere, focusing on the local hot bubble (LHB).
Methods. We extracted and analysed eRASSl spectra from almost all directions in the western Galactic hemisphere by dividing the sky into equal signal-to-noise bins. We fitted all bins with fixed spectral templates of known background constituents.
Results. We find the temperature of the LHB exhibits a north-south dichotomy at high latitudes (|b| > 30°), with the south being hotter, with a mean temperature at kT = 121.8 ± 0.6 eV and the north at kT = 100.8 ± 0.5 eV. At low latitudes, the LHB temperature increases towards the Galactic plane, especially towards the inner Galaxy. The LHB emission measure (EMLHB) enhances approximately towards the Galactic poles. The EMLHB map shows clear anti-correlation with the local dust column density. In particular, we found tunnels of dust cavities filled with hot plasma, potentially forming a wider network of hot interstellar medium. We also constructed a three-dimensional LHB model from EMLHB, assuming constant density. The average thermal pressure of the LHB is Pthermal/k = 10100−1500+1200 cm−3 K, a lower value than typical supernova remnants and wind-blown bubbles. This could be an indication of the LHB being open towards high Galactic latitudes.
M giants with IGRINS
Authors: Nandakumar G. , Ryde N. , Hartman H. , Mace G. 
Published: September 2024

Context. Neutron-capture elements represent an important nucleosynthetic channel in the study of the Galactic chemical evolution of stellar populations. For stellar populations behind significant extinction, such as those in the Galactic centre and along the Galactic plane, abundance analyses based on near-infrared (NIR) spectra are necessary. Previously, spectral lines from the neutron-capture elements, such as copper (Cu), cerium (Ce), neodymium (Nd), and ytterbium (Yb), have been identified in the H band, while yttrium (Y) lines have been identified in the K band.
Aims. Due to the scarcity of spectral lines from neutron-capture elements in the NIR, the addition of useful spectral lines from other neutron-capture elements is highly desirable. The aim of this work is to identify and characterise a spectral line suitable for abundance determination from the most commonly used s-process element, namely barium.
Methods. We observed the NIR spectra of 37 M giants in the solar neighbourhood at high spectral resolution and with a high signal-to-noise ratio using the IGRINS spectrometer on the GEMINI South telescope. The full H- and K-bands were recorded simultaneously at R = 45 000. Using a manual spectral synthesis method, we determined the fundamental stellar parameters for these stars and derived the barium abundance from the Ba line (6s5d 3D2 → 6s6p 3P2o) at λair = 23 253.56 Å in the K band.
Results. We demonstrate that the Ba line in the K band at 2.33 μm (λ23 253.56) is useful for abundance analyses from the spectra of M giants. The line becomes progressively weaker at higher temperatures and is only useful in M giants and the coolest K giants at supersolar metallicities.
Conclusions. We can now add Ba to the trends of the heavy elements Cu, Zn, Y, Ce, Nd, and Yb, which can be retrieved from high-resolution H- and K-band spectra. This opens up the study of nucleosynthetic channels, including the s-process and the r-process, in dust-obscured populations. Thus, these elements can be studied for heavily dust-obscured regions of the Galaxy, such as the Galactic centre.
Comparing the Rate of Dissolution of Two Commercially Available Synthetic Bone Graft Substitutes
Authors: McConaghy Kara , Smietana Michael , Pasqualini Ignacio , Rullán Pedro J. , Fleming Jesse , Piuzzi Nicolas S. 
Published: September 2024

AbstractThis study characterized the dissolution properties of two commercially available bone substitutes: (1) A calcium sulfate (CaS)/brushite/β-tricalcium phosphate (TCP) graft containing 75% CaS and 25% calcium phosphate; and (2) a CaS/hydroxyapatite (HA) bone graft substitute composed of 60% CaS and 40% HA. Graft material was cast into pellets (4.8 mm outer diameter × 3.2 mm). Each pellet was placed into a fritted thimble and weighed before being placed into 200 mL of deionized water. The pellets were removed from the water on days 1, 2, 3, 4, 6, 8, 14, 18, or until no longer visible. The mass and volume of each pellet were calculated at each timepoint to determine the rate of dissolution. Analysis of variance was performed on all data. Statistical significance was defined as p < 0.05. The CaS/HA pellets were completely dissolved after day 8, while the CaS/brushite/β-TCP pellets remained until day 18. The CaS/brushite/β-TCP pellets had significantly more mass and volume at days 1, 2, 3, 4, 6, and 8 timepoints. The CaS/brushite/β-TCP pellets lost 46% less mass and 53% less volume over the first 4 days as compared to CaS/HA pellets. The CaS/brushite/β-TCP pellets had a rough, porous texture, while the CaS/HA pellets had a smooth outer surface. Overall the CaS/brushite/β-TCP pellets dissolved approximately twice as slowly as the CaS/HA pellets in vitro. As these in vitro findings might have in vivo implications, further clinical data are required to further confirm and establish the optimal synthetic bone substitute strategy or antibiotic delivery carrier.
Design, simulation, and experimental validation of a wideband flexible metamaterial absorber for gigahertz electromagnetic waves
Authors: Mebarki Ghada Fatima Zahra , Benmostefa Naima , Feham Mohammed , Alkhafaji Mohammed Ayad , Afenyiveh Serge Dzo Mawuefa , Menni Younes 
Published: September 2024

This study addresses the challenge of mitigating electromagnetic interference (EMI) in telecommunications and radar systems by designing, simulating, and experimentally validating a wideband flexible metamaterial absorber (MMA) for gigahertz-frequency electromagnetic waves (EMWs). EMI is critical as it can severely impact the performance and reliability of electronic systems. Traditional absorbers often struggle to maintain high performance across a broad frequency range, especially under varying polarization and incidence angles. To address this issue, we developed a novel MMA with a simple, single-layer design optimized for wideband absorption over a 10 GHz frequency range. Constructed with a polyethylene terephthalate dielectric layer separating spiral coil resonators from a bottom copper layer, this configuration ensures polarization insensitivity for both transverse electric and transverse magnetic waves. Numerical simulations were used to optimize the design parameters, focusing on maximizing absorption efficiency across the targeted frequency range and varying incidence angles. Experimental validation was conducted to verify the absorber’s performance, with results showing excellent agreement with simulations. This research underscores the importance of experimental verification in validating the performance of MMAs and highlights their potential for real-world applications in absorbing EMWs.
Cosmic neutrino decoupling and its observable imprints: insights from entropic-dual transport
Authors: Bond J. Richard , Fuller George M. , Grohs Evan , Meyers Joel , Wilson Matthew James 
Published: September 2024

AbstractVery different processes characterize the decoupling of neutrinos to form the cosmic neutrino background (CνB) and the much later decoupling of photons from thermal equilibrium to form the cosmic microwave background (CMB). The CνB emerges from the fuzzy, energy-dependent neutrinosphere and encodes the physics operating in the early universe in the temperature rangeT∼ 10 MeV toT∼ 10 keV. This is the epoch where beyond Standard Model (BSM) physics, especially in the neutrino sector, may be influential in setting the light element abundances, the necessarily distorted fossil neutrino energy spectra, and other light particle energy density contributions. Here we use techniques honed in extensive CMB studies to analyze the CνB as calculated in detailed neutrino energy transport and nuclear reaction simulations of the protracted weak decoupling and primordial nucleosynthesis epochs. Our moment method, relative entropy, and differential visibility approach can leverage future high precision CMB and light element primordial abundance measurements to provide new insights into the CνB and any BSM physics it encodes. We demonstrate that the evolution of the energy spectrum of the CνB throughout the weak decoupling epoch is accurately captured in the Standard Model by only three parameters per species, a non-trivial conclusion given the deviation from thermal equilibrium and the impact of the decrease of electron-positron pairs. Furthermore, we can interpret each of the three parameters as physical characteristics of a non-equilibrium system. Though the treatment presented here makes some simplifying assumptions including ignoring neutrino flavor oscillations, the success of our compact description within the Standard Model motivates its use also in BSM scenarios. We further demonstrate how observations of primordial light element abundances can be used to place constraints on the CνB energy spectrum, deriving response functions that can be applied for general deviations from a thermal spectrum. Combined with the description of those deviations that we develop here, our methods provide a convenient and powerful framework to constrain the impact of BSM physics on the CνB.
Searching for cosmological collider in the Planck CMB data
Authors: Sohn Wuhyun , Wang Dong-Gang , Fergusson James R. , Shellard E.P.S. 
Published: September 2024

Abstract
In this paper, we present the first comprehensive CMB data analysis of cosmological collider physics.
New heavy particles during inflation can leave imprints in the primordial correlators which are observable in today's cosmological surveys.
This remarkable detection channel provides an unsurpassed opportunity to probe new physics at extremely high energies.
Here we initiate the search for these relic signals in the cosmic microwave background (CMB) data from the Planck legacy release.
On the theory side, guided by recent progress from the cosmological bootstrap, we first propose a family of analytic bispectrum templates that incorporate the distinctive signatures of cosmological collider physics. Our consideration includes the oscillatory signals in the squeezed limit, the angular dependence from spinning fields, and several new shapes from nontrivial sound speed effects.
On the observational side, we apply the recently developed pipeline, CMB Bispectrum Estimator (CMB-BEST), to efficiently analyze the three-point statistics and search directly for these new templates in the Planck 2018 temperature and polarization data.
We report stringent CMB constraints on these new templates. Furthermore, we perform parameter scans to search for the best-fit values with maximum significance.
For a benchmark example of collider templates, we find f
NL = -91 ± 40 at the 68% confidence level. After
accounting for the look-elsewhere effect, the biggest adjusted significance we get is 1.8σ.
In general, we find no significant evidence of cosmological collider signals in the Planck data.

However, our innovative analysis, together with the recent work [107] using the BOSS data, sets the stage for probing cosmological collider and demonstrates the potential for discovering new heavy particles during inflation in forthcoming cosmological surveys.
Digital Beamforming Demonstration of a Microstrip Antenna Phased Array Feeds (PAF) at 1.25 GHz
Authors: Wu 仵 Peng 鹏 , Chen 陈 Mao-Zheng 卯蒸 , Li 李 Jian 健 , Wang 王 Kai 凯 , Cao 曹 Liang 亮 , Yu 于 Han 涵 
Published: September 2024

Abstract
We introduce the structure of a radio astronomy phased array feeds (PAF) beamforming demonstrator. In a laboratory environment, we have demonstrated beamforming on a received 1.25 GHz sinusoidal signal and used digital weighting techniques to plot the 2D pattern of the PAF. The radio frequency part of the demonstrator includes a 4 × 4 linearly polarized microstrip antenna array, all of which is connected in series with a low-noise amplifier. The signals from the central 4 × 2 array elements are injected into a radio frequency system-on-chip digital board, which can receive eight inputs with a bandwidth of 512 MHz. Combining the principle of undersampling, the beamforming is completed at a frequency of 1.25 GHz for the offline data, and a 2D image of the beam is plotted using beam scanning technology.
Heterostructure VO2@VS2 tailored by one-step hydrothermal synthesis for stable and highly efficient Zn-ion storage
Authors: Zhao Enyan , Gao Kesheng , Luo Xuan , Li Lin , Zhao Jinkui , Li Hongliang 
Published: September 2024

Abstract
The increasing demand for advanced energy storage solutions has driven extensive research into Zn-ion batteries due to their safety, cost-effectiveness, and environmental compatibility. This study presents a synthesis and evaluation of VO2@VS2 hollow nanospheres as a novel cathode material for Zn-ion batteries. The VO2@VS2 composite, synthesized via a one-step hydrothermal method, demonstrates a significant improvement in electrochemical performance. The material exhibits a reversible capacity of 468 mAh g−1 at 0.1 A g−1 and maintains a high capacity of 237 mAh g−1 at 1.0 A g−1 over 1000 cycles with a retention rate of 85%. Electrochemical analyses reveal enhanced charge transfer and Zn-ion storage, attributed to the synergistic effect and built-in electric field of the VO2 and VS2 heterostructure. Additionally, the composite shows superior electrochemical kinetics, facilitating rapid ion transport and charge transfer. In-situ Raman analysis confirms the reversible Zn-ion storage mechanism, further validating the composite’s structural stability during cycling. Density functional theory calculations further support these findings, indicating the composite’s potential for high-rate capability and long-term cycling stability. This research highlights the promise of VO2@VS2 hollow nanospheres in advancing the performance of aqueous Zn-ion batteries.