bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonsurgical Rhinoplasty: Histopathological Effects of Dermal Fillers on Nasal Cartilage in a Rabbit Model
Authors: Gürlek İbrahim Ömer , Gülüstan Filiz , İnan Burak Kaan , Göktaş Ahmet Bahadır , İnan Öznur , Sayın İbrahim , Kaya Kamil Hakan 
Published: February 2025

AbstractNonsurgical rhinoplasty has emerged as a preferred nasal aesthetic treatment due to its safety, predictability, and high patient satisfaction. It utilizes dermal fillers, primarily hyaluronic acid (HA), to enhance nasal profiles and correct defects. However, limited data exist on the effects of HA-containing dermal fillers on nasal cartilage. This study aimed to evaluate these effects histopathologically. Sixteen New Zealand white rabbits were divided into two groups (A and B). Group A's right lateral cartilages (AR) received 0.1 mL of VYC-20L filler, while the left (AL) received isotonic saline. Group B's right lateral cartilages (BR) received 0.1 mL of VYC-25L filler, with the left (BL) serving as the control. After 90 days, the rabbits were sacrificed, and cartilage samples were analyzed histopathologically for cartilage thickness, chondrocyte nucleus loss, inflammation, fibrosis, giant cells, granulation tissue, abscess, and necrosis. Statistical significance was set at p < 0.05. Significant differences were found between groups for chondrocyte nucleus loss, fibrosis, and giant cells (p = 0.005, 0.018, <0.001, respectively). No difference was observed in cartilage thickness between AR and BR (p = 0.918). Chondrocyte nucleus loss was present in AR and BR but absent in AL and BL. Giant cells were detected in all VYC-20L and VYC-25L samples. Chronic inflammation and fibrosis varied but were not statistically significant. No abscess or necrosis was observed. This study demonstrated the histopathological effects of VYC-20L and VYC-25L on nasal cartilage using a rabbit model. Further studies with larger samples and diverse fillers are recommended.
Noninvasive Imaging Methods for Bile Duct and Gallbladder Pathology: An Overview
Authors: Harmath Carla , Flory Marta 
Published: February 2025

AbstractEvaluation of the gallbladder and biliary system with noninvasive imaging modalities is essential for pathology characterization as well as for guidance of additional diagnostic and therapeutic intervention. Ultrasound (US), computed tomography (CT), and magnetic resonance imaging (MRI) are the mainstream modalities encountered in the workup of gallbladder and biliary pathology and can be used alone or in combination. US is the modality of choice for initial workup of abnormal liver function tests and is excellent at evaluating gallbladder and bile duct pathology such as choledocholithiasis or cholecystitis. It is widely available, cost-effective, and portable. CT is a common modality for the evaluation of abdominal pain and may demonstrate biliary dilatation or other processes such as infection or neoplasms involving the biliary system, gallbladder, and involved adjacent liver parenchyma. MRI, and more specifically MR cholangiopancreatography, is the modality of choice for detailed evaluation of the intrahepatic and extrahepatic ducts. It can accurately depict biliary anatomic variants for presurgical planning, postprocedural complications, intraductal processes, and other biliary-related pathologies. MRI can also assess for bile leaks and fistulas with the use of hepatobiliary contrast agents. All these modalities provide important diagnostic information, facilitate interventional approaches, and guide clinical treatment algorithms. We review the advantages and limitations of each to help guide the provider to the modality of choice for the optimal assessment of specific gallbladder and biliary pathologies and treatment planning needs.
Design of a robot-automated flat plate/reflection geometry x-ray diffraction setup for accelerated materials discovery and structural screening
Authors: Crain Christopher A. , Stone Kevin H. , Troxel Charles , Shulda Sarah , Ginley David S. , Strange Nicholas A. 
Published: February 2025

We report the design, construction, and automation of a flat plate sample loading, alignment, and data acquisition system for x-ray diffraction measurements in reflection geometry implemented at the Stanford Synchrotron Radiation Lightsource. The system is built onto a single platform, enabling facile transferability, and is compartmentalized into sample storage, sample transfer, and sample position/alignment segments. The core feature of this system is a six-axis robotic arm that offers a large range of highly reproducible and programmable movements. The degrees of freedom of the robot arm enable adaptability in which movements can be modified to fit various beamline environments and sample configurations. The samples are housed on 3D printed sample mounts, which are arranged onto a 6 × 2 array of sample cassettes capable of holding seven samples. Using sample mounts designed for solid oxide electrolysis button cells (SOECs), the maximum tray capacity is 84 samples, which can be aligned and run in ∼24 h with long exposure scans. The sample array is additionally capable of accommodating a range of sample sizes and geometries due to the rapid 3D printed fabrication. The components of the setup will be described in detail and performance will be demonstrated with a set of representative SOEC and XRD standard samples. Opportunities for future developments and integration with the automated setup are summarized.
Patterns of mixed virus infections: a 3-year study of symptomatic cereal and grass hosts in Australia
Authors: Nancarrow Narelle , Rodoni Brendan , Lam Shu Kee , Trębicki Piotr 
Published: February 2025

Context Yellow dwarf viruses (YDVs) form a complex of economically important pathogens that can significantly reduce grain yield in cereals. Mixed infections, or infection with two or more YDV species, can be particularly damaging. Aims We aimed to examine the proportion of single and multiple virus infections present in symptomatic cereal and grass plants in Victoria, south-eastern Australia. Methods Over 3 years (2020–2022), symptomatic cereal and grass plants from within and around cereal fields in Victoria, Australia were individually tested using tissue-blot immunoassay (TBIA) for barley yellow dwarf virus PAV, barley yellow dwarf virus MAV, cereal yellow dwarf virus RPV, wheat streak mosaic virus, and with a generic TBIA test that can detect multiple luteovirus and/or polerovirus species. Key results Across 2020–2021, 34% of virus-positive plants were infected with multiple YDV species. The proportion of mixed infections was similar in each individual year. However, higher proportions of wheat (Triticum aestivum, 47%) and wild oat (Avena fatua, 36%) plants were infected with multiple YDV species compared to barley (Hordeum vulgare, 8%) and brome grass (Bromus spp.,17%). Conclusions The proportion of virus-positive plants infected with multiple YDV species found was almost four times higher than previously reported in a similar study in Victoria, Australia in 1985. The proportion of plants infected with multiple YDV species varied more with host type than between individual years. Implications These findings demonstrate the complex epidemiology of these damaging viruses, and the challenges associated with developing virus-resistant cereal cultivars, while also highlighting the importance of regular surveillance over multiple years.
Recovery of the Southern Greater Glider (Petauroides volans) following the extreme drought, heatwaves, and mega-fires of 2019–2020 in the southern Greater Blue Mountains World Heritage Area, Australia
Authors: Smith Peter , Smith Judy 
Published: February 2025

Context Extreme drought, heatwaves, and mega-fires in south-eastern Australia in 2019–2020 had a major impact on the Southern Greater Glider (Petauroides volans). Aims To assess how rapidly the species is recovering and whether recovery is dependent on fire severity. Methods Gliders were surveyed annually on seven 500-m transects between 2020 (11 months post-fire) and 2024 (4.4 years post-fire). All transects supported gliders pre-2019 but abundances varied. Key results In two transects burnt at high to extreme severity, all the gliders’ food source, eucalypt foliage, was burnt in the fires and the gliders were eliminated. No recolonisation occurred in 2020–2024, despite foliage regrowth. In one transect burnt at low severity and three transects burnt at moderate severity, some live eucalypt foliage survived the fires and gliders were present in 2020 in reduced numbers (31% decrease). In the three transects that were moderately burnt, numbers recovered and by 2024 were similar to pre-2019 counts. In the transect that was burnt at low severity and an unburnt transect, numbers increased rapidly and by 2024 were 45% higher than pre-2019. These two transects contained the best habitat (tallest forests) supporting the most gliders pre-2019. Conclusions Recovery was more rapid than expected in lightly and moderately burnt transects, probably facilitated by very high post-fire rainfall, but there was no recovery in severely burnt transects. Implications To conserve Southern Greater Gliders, it is essential to reduce the incidence and extent of severe wildfires, identify and protect the best quality glider habitat, and identify, protect, enhance and extend wildlife corridors linking core areas of important habitat.
Resonant behavior and stability of a linear three-mirror cavity
Authors: Stevens Paul , Loriette Vincent , Andia Manuel , Glotin François , Lartaux Angélique , Leroy Nicolas , van de Walle Aymeric 
Published: February 2025

Abstract
The implementation of Fabry-Perot cavities in gravitational-wave detectors has been pivotal to improving their sensitivity, allowing the observation of an increasing number of cosmological events with higher signal-to-noise ratio. Notably, Fabry-Perot cavities play a key role in the frequency-dependent squeezing technique, which provides a reduction of quantum noise over the whole observation frequency spectrum. In this paper, we first present how the adaptability of resonance properties of linear three-mirror cavities, and the real-time control we could have on it, would be interesting for frequency-dependant squeezing in future detectors, especially for Einstein Telescope project. In this view, we develop a complete model to describe the stability behavior and the properties of transmitted and reflected fields of a linear three-mirror cavity aiming to be used for design purposes. In particular, simulations are carried out to show the evolution of the characteristic double resonance peak they can show-off, which is one of the key features of this system, as a function of cavity parameters. We show that the double-peak shape is almost freely adjustable, either in terms of spacing between maxima, their relative amplitude and intrinsic width. This is made possible by changing the mirrors’ reflectivity coefficients and the sub-cavities microscopic/macroscopic lengths. However, the amount of achievable realistic configurations is limited by the stability conditions of the cavity. In particular, if the two sub-cavities do not have the same macroscopic length, it could be difficult to obtain a stable three-mirror cavity. Different geometries have been studied to obtain a stable system.
Development of industrial-scale L-shaped dielectric barrier discharge reactor for improving capacity retention of graphite anode using plasma pretreatment
Authors: Eom Geon Woong , Hur Min , Shim Hyung-chul , Hyun Seungmin , So Hye-Mi , Oh Minsub , Kim Areum , Jang Yunseon , Kang Woo Seok , Kim Dae-Woong , Kim Hyeong-U , Lee Sang Ho , Park In Yong , Jang Eui-chan , Ahn Jisu , Yun Dong-hyun , Kim Jae-hyeon , You Shinjae , Lee Jin Young 
Published: February 2025

Abstract
Electrode slurry coatings on the current collector of a Li-ion battery suffer from high mass loading owing to the severe floating of the binder during solvent drying. Atmospheric plasma pretreatment of the Cu current collector forms a functional group on its surface, which forms a hydroxyl bond with the binder materials. However, the Cu foil transferred to a high-speed roll-to-roll machine undergoes displacement due to wrinkling. This foil displacement deteriorates the uniformity of the process results and the discharge stability. To overcome the above-mentioned limitations, in this study, we designed an L-shaped dielectric barrier discharge (DBD) reactor as a combination of the direct-type DBD reactor with high processing speed and a jet-type DBD reactor with high discharge stability for industrial-scale current collector pretreatment. Helium gas injected between a pair of L-shaped electrodes and an electrode with bipolar high-voltage power generated stable seed electrons, which led to a homogeneous discharge between the lower part of the L-shaped electrode and the high-speed moving Cu current-collector surface. The plasma-treated Cu current collector exhibited stronger solvent adhesion and improved surface tension. In addition, the graphite anode coated on the plasma-treated current collector showed high mechanical adhesion strength with the anode materials and high-capacity retention in the half-cell test.
Effect of thermally-induced cationic redistribution on the structural and magnetic properties of Cu-substituted zinc ferrite
Authors: Nayak S , Roy P K , Ghorai S , Padhan A M , Svedlindh P , Murugavel P 
Published: February 2025

Abstract
Cationic redistribution in spinel ferrite systems greatly influences the magnetic ordering and the associated phenomena. Here, the effect of the synthesis condition on the cationic redistribution and its correlation with the magnetic properties were explored in the Cu2+ substituted ZnFe2O4 spinel ferrite. X-ray photoelectron spectroscopy and x-ray diffraction studies reveal that the variation of sintering temperature redistributes the cations between tetrahedral and octahedral sublattices. Results from low field dc-magnetic susceptibility measurements show that the susceptibility increases with decreasing sintering temperature of the sample. Furthermore, the ac-susceptibility results suggest that the sample sintered at 1048 K (1148 K) exhibits spin-glass behavior with a glass transition temperature of ∼49.2 K (47.1 K) and a cluster-glass behavior at a higher temperature of ∼317 K (330 K), characteristics that are absent in the sample sintered at 1248 K. The sample annealed at 1048 K exhibits a magnetocaloric effect with a maximum isothermal entropy change of ∼1.21 J kg−1 K−1 at

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A co-prime array ultrasonic wind measurement method based on FL-ESB algorithm
Authors: Shan Zebiao , Xie Shijuan , Yu Boli , Liu Xiaosong 
Published: February 2025

Abstract
Accurate wind speed and direction measurement is crucial in many environmental applications, but achieving reliable results in the presence of mixed noise, such as impulse and Gaussian noise, remains a significant challenge. Traditional methods often fail to maintain accuracy under these conditions. This paper proposes a co-prime array wind measurement method based on fractional low-order eigenspace beam forming (FL-ESB) algorithm. The proposed method adopts a co-prime arc ultrasonic sensor structure consisting of two sets of uniform arc subarrays. This structure can increase the array aperture and improve the measurement accuracy. Combined with the idea of fractional low order covariance, the FL-ESB algorithm is proposed to realize the effective suppression of impulse and Gaussian mixed noise. The estimated variance and wind parameters’ Cramer Rao Bound are obtained through theoretical analysis and simulation. Simulation results show that under a signal-to-noise ratio of −4 dB, the root mean square error of wind speed is less than 0.6 m s−1, and the root mean square error of wind direction angle is less than 2∘. These results confirm that the proposed method effectively measures wind speed and direction in mixed noise environments.In conclusion, the FL-ESB-based co-prime array method provides a robust solution for accurate wind measurement, offering improved noise suppression and accuracy compared to traditional methods.
A Multi-Sensor Fusion Approach for Centimeter-Level Indoor 3D Localization of Wheeled Robots
Authors: Yang Mingliang , Han Kunyu , Sun Tianang , Tian Kaixuan , Lian Chao , Zhao Yuliang , Wang Zhidong , Huang Qingyun , Chen Meng , Li Wenjung 
Published: February 2025

Abstract
Accurate three-dimensional positioning is fundamental for the safe movement of wheeled robots across multiple floors. However, achieving precise positioning of mobile systems in multilevel scenarios using low-cost sensors remains a significant challenge. This paper proposes a low-cost three-dimensional positioning method based on event-triggered Extended Kalman Filtering (EKF), which integrates data from a barometer, Inertial Measurement Unit (IMU), and encoder. Firstly, during multilevel movement, sensors collect acceleration and barometric pressure data, which, combined with the EKF-Target Compensation (EKF-TC) fusion algorithm, achieve centimeter-level positioning of the wheeled robot's height. Secondly, based on MEMS data, the integration of the Dead Reckoning (DR) algorithm reduces the horizontal positioning error of the wheeled robot over small obstacles. Finally, four horizontal and three vertical motion scenarios were designed to test the three-dimensional positioning capabilities of the wheeled robot moving between floors. Experimental results show that the cumulative vertical error of the wheeled robot moving across multiple floors accounts for approximately 0.6% of the total height of 93.76m, with an average height positioning error of only 1.7cm per floor. In summary, the method proposed using low-cost sensors and simple, stable fusion algorithms, offers a technical solution for indoor three-dimensional positioning with centimeter resolution for wheeled robots.&#xD;
Dual-domain feature fusion attention network for leak detection in water supply pipes
Authors: Li Juan , He Meijia 
Published: February 2025

Abstract
Accurate detection of the size of pipeline leaks is the key to minimizing economic and resource infrastructure loss. However, extracting critical information about different leak sizes from complex pipeline signals is a major challenge. To address this difficult problem, this paper proposed a water pipe leakage detection method based on a Dual-domain feature fusion attention network (DFFAN). It employs time series imaging to fuse images generated under different transform domains of the original signal to achieve high-accuracy detection of leak size. Specifically, by fusing the Gramian Angular Field (GAF) matrix with the Continuous Wavelet Transform (CWT) image of the original signal, DFFAN can comprehensively capture the temporal, amplitude, and time-frequency information in the signal. The designed attention fusion module can optimally allocate weights to features according to their importance and further enhance the leakage features through weighted fusion. The effectiveness of the method is evaluated using the collected leakage data. The experimental results show that the proposed method can effectively recognize the four leakage states in two material pipes. It has better detection performance compared with advanced pipeline leakage detection methods.
Electromagnetic-vibrational behaviors of bulk high-temperature superconductor containing slot defect under permanent magnet motion
Authors: Feng Wenjie , Yu Zhiqiang , Jing Liwei 
Published: February 2025

Abstract
A bulk high-temperature superconductor (HTS) employed in the high-temperature superconducting levitation device is susceptible to cracks or defects during its fabrication and utilization. This may cause changes in the electromagnetic (EM) and vibrational behaviors of the HTS, even affecting the normal operation of the device. To this end, based on the magnetic, thermal and motion field equations for the transversely isotropic superconducting material, we establish a 3D coupled model of a levitation system containing an HTS with a slot defect and permanent magnet (PM), to investigate the vibrational and EM behaviors of the HTS with the defect above the PM, and discuss the effects of the depth of the defect, frequency of the external excitation, and combined defect on the behaviors in the time or frequency domains. The results show that the intrinsic frequencies of the HTS with defects of different depths are in the ranges of 6–8 Hz, 13–16 Hz and 19–20 Hz. With the increase of the defect depth, the intrinsic frequencies and EM losses increase but the vibration amplitude decreases. Under the action of the simple harmonic excitation with the same amplitude, the larger the defect depth, the lower the vibration amplitude and the better the stability of the phase trajectory. With the increase of the excitation frequency, the vibration amplitude decreases and the losses increase. However, when the excitation frequency is close to the intrinsic frequency, the HTS resonates and its internal fluxes undergo the violent motion. When the HTS contains a composite defect consisting of two single defects, its intrinsic frequencies are higher than those for the HTS with either defect included. And its EM losses are greater than the sum of their losses. The modeling method presented here can provide an idea and a reference for the research of EM-vibration behaviors of superconducting levitation systems containing defects.
Towards a novel high-performance broadband plasmonic metasurface based nano-absorber in visible light to ultra-violet windows for enhanced and maximizing solar energy harvesting in photovoltaic systems
Authors: Berka Mohammed , Mahdjoub Zoubir , Afif Benameur , Bendaoudi Amina 
Published: February 2025

Abstract
The conversion of solar energy into electrical power through silicon-based photovoltaic cells faces substantial efficiency losses due to both physical and technological limitations. A key factor in these losses is the material composition of photovoltaic cells, which impacts their absorption capabilities. This paper proposes a novel metasurface-based nano-absorber (MSA) to enhance the efficiency of silicon photovoltaic cells and solar energy harvesting applications. The design addresses the significant efficiency losses in solar-to-electrical energy conversion to obtain high absorption rates for photovoltaic systems. The proposed metasurface utilizes a metal-insulator-metal (MIM) structure as its basic unit cell, consisting of a Tungsten (W) patch and reflective surface printed on the top and bottom faces of a Silicon-dioxide (SiO2) dielectric substrate, respectively. The periodic metasurface is composed of a 4 × 4 array of unit nano-cells with a new shape and an optimized period of 300 nm for an asymmetrical distribution for each four resonators. The thickness of the tungsten representing the metal with the thickness of the SiO2 representing the dielectric substrate is 105 nm. Simulation outcomes demonstrate the nano-absorber’s excellent performance, achieving maximum absorptions of 99.93 and 94.52% at the plasmonic resonance frequencies of 531.4 and 805.5 THz, respectively. Moreover, an average absorption of 93.15% across the entire solar spectrum has been reached. The MSA exhibits robust characteristics, maintaining stability up to 60° polarization angle across a broadband of 734.4 THz demonstrating a plasmonic effect, as evidenced by electromagnetic field analysis. The simplicity of the design, coupled with its high performance, positions this nano-absorber as a promising candidate for improving the absorption qualities of photovoltaic systems. Furthermore, its potential for integration into other solar harvesting systems underscores its versatility and practical applicability in advancing renewable energy technologies.