bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coherent structures of beam-driven whistler mode in the presence of magnetic islands in the magnetopause
Authors: Jyoti  , Sharma Suresh C , Sharma R P 
Published: February 2024

Abstract
The Magnetospheric Multiscale Mission (MMS) has perceived whistler wave generation, coherent structures, and related turbulence close to the magnetopause reconnection zones. The current research examines coherent structure of whistler wave driven by an intense electron beam at the magnetopause’s magnetic reconnection sites as well as by the dynamic growth of magnetic islands. A nonlinear model of high-frequency whistler wave and low-frequency magnetosonic wave has been developed by using the two-fluid approximation. Nonlinear dynamics of 3D whistler wave and magnetosonic wave have been solved by the pseudo spectral method along with the predictor-corrector method and finite difference method. The simulation’s outcomes demonstrate the temporal and spatial development of the whistler localized structures and current sheets as a witness to the turbulence’s existence. Moreover, the turbulent power spectra have been investigated. The formation of the thermal tail of energetic electrons has been studied using the power-law scaling of turbulence development. We determined the scale sizes of current sheets and localized structures using a semi-analytic model and showed that these scale sizes rely on the power of whistler wave. We predict that the acceleration of the energetic electrons and heating in the Magnetopause may be caused by whistler wave.
Enhanced magnon blockade in a magnomechanical system
Authors: Li Chun-Hui , Xiong Biao , Wei Yue , Shan Chuan-Jia 
Published: February 2024

Abstract
Magnon blockade is one of the effective methods for realizing single magnon sources which have great potential application in quantum information processing and quantum computing. To enhance single-magnon blockade effect, we introduce a two-magnon driving to the magnomechanical system, which is used to form the multipath destructive interference. Our result shows that both the conventional magnon blockade (CMB) and unconventional magnon blockade (UMB) can be achieved due to nonlinear term of the magnon-mechanical oscillator and magnetic parametric amplification term(MPA) induced by two-magnon driving. By setting certain parameters of MPA, we combine the effect of CMB and UMB. As a result, the single-magnon blockade effect is enhanced, and the disadvantage of rapid oscillations of the time-delay second-order correlation function g
(2)(τ) with UMB is overcome, which makes high time resolution not necessary in the detection of second-order correlation function.
Elucidating the impact of Dy2O3 substitution on structure, optical, photoluminescence and mechanical properties of borosilicate glass
Authors: Abouhaswa A S , Abomostafa H M , Nasr M H , Rabiea E A 
Published: February 2024

Abstract
This work aims to investigate the changes in characteristics seen in the composition 60B2O3+ (30–x) BaO + 10SiO2 + xDy2O3 where x is 0.0, 1.0, 2.0, and 3.0 mole% glass samples. Melt-quenching technique was used to prepare the glass samples. A variety of analytical techniques were employed to characterize the prepared glasses, such as x-ray, Raman, photoluminescence, and UV-vis-NIR spectroscopy. XRD spectra verified the glassy nature. The glasses’ compactness was studied using structural properties such as density, molar volume, and oxygen packing density. Makishima-Mackenzie’s (M-M) method was used to determine mechanical parameters such as elastic moduli, Poisson’s ratio, and hardness, and it was found that these properties decreased with increasing Dy2O3 concentration. Glass absorption spectra showed eleven distinct peaks in the range 300–2000 nm, resulting from Dy3+ electronic transitions. Urbach energy, refractive index, and optical band gap energy were determined. The optical parameters, such as molar refraction, molar polarizability, reflection loss, optical transmission, metallization, and optical electronegativity, were estimated. The photoluminescence spectra revealed five distinct peaks in the 400–800 nm wavelength range under excitation at 325 nm.
Entropic characterization of stabilizer states and magic states
Authors: Li Huihui , Luo Shunlong , Zhang Yue 
Published: February 2024

Abstract
Quantum states with minimum or maximum uncertainty are of special significance due to their extreme properties. Celebrated examples are coherent states induced from certain Lie groups and intelligent states for various uncertainty relations. In this work, by virtue of the Maassen-Uffink entropic uncertainty relation, we introduce an entropic quantifier of uncertainty and use it to characterize several important families of states in the stabilizer formalism of quantum computation. More specifically, we show that the stabilizer states and T-type magic states stand at the two extremes of the entropic quantifier of uncertainty: The former are precisely the minimum entropic uncertainty states, while the latter are precisely the maximum entropic uncertainty states. Moreover, interpolating between the above two extremes, the H-type magic states are the saddle points of the entropic quantifier of uncertainty. These entropic characterizations reveal some intrinsic features of stabilizer states, H- and T-type magic states, and cast novel light on the resource-theoretic viewpoint of regarding the stabilizer states as free states and the T-type magic states as the most precious source states in the stabilizer quantum theory.
Microfluidic technology combined with density functional theory for investigating terahertz spectral characteristics of hyaluronic acid and its constituent monomers
Authors: Yan Bingxin , Zhao Yuhan , Hou Zeyu , Su Bo , Cui Hailin , Zhang Shengbo , Zhang Cunlin 
Published: February 2024

Abstract
Terahertz spectroscopy offers a valuable approach for material research, particularly in identifying unique characteristics of biological macromolecules within the terahertz band. Hyaluronic acid, a polysaccharide involved in vital life processes within the human body, holds significant application potential in medicine and healthcare. In this study, we employed a terahertz time-domain spectroscopy system combined with microfluidic chip to investigate the terahertz absorption spectra of hyaluronic acid and its constituent monomers, namely D-glucuronic acid and N-acetylglucosamine. The analysis covered solid state under vacuum and humidity of 19.8% environment , as well as solution state, spanning a frequency range of 0.5 ∼ 2.5 THz. In addition, using CASTEP software package and PBE density functional, the molecular structures of D-glucuronic acid and N-acetylglucosamine were simulated using periodic boundary conditions, and the vibrational modes of absorption peaks were assigned to determine their sources. The results indicate that terahertz spectroscopy is highly sensitive to the structure and environment of substances, and the absorption peaks of materials in a vacuum are primarily attributed to interactions both between molecules and within molecules.
Modeling and investigating the spread of COVID-19 dynamics with Atangana-Baleanu fractional derivative: a numerical prospective
Authors: Raza Nauman , Raza Ali , Asad Ullah Muhammad , Gómez-Aguilar J F 
Published: February 2024

Abstract
Fractional-order models have been used in the study of COVID-19 to incorporate memory and hereditary properties into the systems Moira and Xu (2003) Respirology 8 S9â14. These models have been applied to analyze the dynamics and behavior of the novel coronavirus. Various fractional-order models have been proposed, including the SIR and SEIR models, with the addition of compartments such as asymptomatic classes and virus repositories. Overall, fractional-order models have proven to be effective in studying the dynamics and spread of COVID-19. In this paper, we propose a nonlinear fractional model employing the Atangana-Baleanu derivative to describe COVID-19. To offer a clearer perspective, our investigation incorporates two distinct quarantine stages within the population. The first quarantine class consists of individuals who have not yet contracted the virus but have chosen to self-isolate at home. The second quarantine class encompasses individuals who are infected and are undergoing quarantine in hospitals. Additionally, we introduce a vaccination class, consisting of the portion of the population that has received the COVID-19 vaccination and is now at a reduced risk of infection. Fixed point theorems are employed to prove the existence and uniqueness of the solutions. The model’s threshold parameter

R

0

is calculated to investigate the pandemic’s future dynamics. The Toufik-Atangana scheme is applied to obtain numerical solutions for the fractional model. Further, we analyzed the data to assess how vaccination impacts the spread of the virus.The model includes two novel parameters to determine the speed and effectiveness of vaccination measures. To evaluate the accuracy of our model, we simulate the graphical results of this stage and compared them with integer-order derivative. The mathematical model for COVID-19 shows that both equilibrium points are locally stable. Moreover, to gain a deeper understanding of the disease, we conduct a sensitivity analysis to examine the effect of parameters on

R

0

. The study recommends continuing hospitalization and home isolation for infected individuals until virus transmission reduces sufficiently after vaccination. The given model provides useful insights into the pandemic’s dynamics and suggests measures for controlling its spread.
Local density distribution of confined fermi gas in various nano-scale geometries
Authors: Firat Coskun 
Published: February 2024

Abstract
This study aims to investigate local density variations of Fermi gases confined in various geometries at the nano-scale, revealing irregularities even in thermodynamic equilibrium. Calculations show that density of the confined gas in a nano scale domain, decreases towards zero near domain boundaries due to a quantum boundary layer linked to the Planck constant. Additionally, Friedel-like density oscillations are observed in nano-confined Fermi gases. Analytical expressions for the local density distribution are derived for degenerate and one-dimensional scenarios, while numerical computations are conducted for complex geometries and weak degeneracy conditions. In line with existing literature, it is understood that the quantum-size effects observed in the global thermodynamic properties of confined gases are attributed to these local irregularities. It becomes evident that in areas smaller than the threshold determined by the quantum boundary layer, the gas empties the part of the domain or reaches lower densities in the considered part relative to other parts of the domain, despite being in thermodynamic equilibrium. The results indicate the potential for gases to benefit from these behaviors and suggest the possibility of designing and manufacturing new nano-scale machines that are not feasible on a macro-scale.
Optical Feedback FM-to-AM Conversion with integrated Micro-Ring Resonator for Displacement Sensing Applications
Authors: Deleau Clément , Cheng Seat Han , Surre Frederic , Zabit Usman , Calmon Pierre-François , Bernal Olivier 
Published: February 2024

Abstract
In this study, we show the capability of integrated Micro-Ring Resonators (MRRs) to perform frequency-to-amplitude (FM-to-AM) conversion of optical feedback interferometry (OFI) signals with improved signal-to-noise ratio compared to conventional AM OFI signals. Further, contrary to traditional OFI FM-to-AM conversion techniques using gas cell-based edge filters and free-space or fiber Mach-Zehnder Interferometers (MZI), integrated photonic processing offers greater compactness and perturbation resilience, enhancing noise performance through improved temperature control and immunity to parasitic mechanical vibrations. The OFI FM-to-AM conversion was performed with a fabricated silicon nitride MRR of radius 120 μm and a quality factor of 130,000. The FM-to-AM conversion factor achieved was 0.61 GHz−1, with a noise equivalent displacement of only 4.9 nm for a 1 kHz bandwidth. This demonstration highlights the potential of integrated edge filters to replace traditional freespace and fiber architectures, more prone to environmental perturbations, in OFI signal processing for vibrometric applications.
Statistical behaviour of laser Doppler vibrometer detector signals and application of statistics for signal diversity
Authors: Wang Fangjian , Rembe Christian 
Published: February 2024

Abstract
The problem of speckle noise and the so-called signal dropouts is well-known by many LDV sensors. Signal power is reduced when less light power is scattered into the detection aperture due to laser speckle. Signal dropouts occur when the carrier-to-noise ratio (C/N) of the photodetector signal falls below the frequency modulation (FM) threshold. This problem can be resolved with signal diversity. However, the influence of the speckle noise and signal dropouts has not been quantitatively analysed the state of the art. We introduce in this paper a new mathematical model of the statistical behaviour of detector signals of LDV sensors. This allows us to calculate the influence of speckle noise and signal dropouts on the detector signals of LDV sensors. Furthermore, we optimize the signal combination method of signal diversity according to the state of the art. Finally, we present some experimental results to prove our mathematical model and signal diversity for reducing speckle noise and signal dropouts.
Particle removal performance of a novel ESP type air cleaning system for indoor air quality in a subway station
Authors: Joon Kim Hak , Lee Haneol , Lee Gwangtaek , Han Bangwoo , Jin Kim Yong 
Published: February 2024

Abstract
A novel electrostatic precipitation type air cleaning technology with near zero ozone emission for indoor air quality of a subway station was developed. To minimize ozone emission and achieve high particle removal performance against ultrafine particulate matters (PMs), a multi-channel charging method using soft ionization by micrometre carbon fibers and a narrow gap collection method using high electric field by thin conductive plastic sheets as a high voltage electrode were used. In this study, the novel electrostatic charging and collection technologies were applied to a real scale air cleaning system in an Air Handling Unit (AHU) with air flow rate of 950 m3/min in Yuseong Oncheon subway station with an area of 3000 m2 in Daejeon, South Korea. The particle removal performance of the demonstration system was evaluated with real suspended particles in the subway station during test period with high PM concentrations in Korea over 40 μg/m3. Particle collection efficiency, pressure drop and ozone emission were evaluated, and compared to those of the a minimum efficiency reporting value (MERV) 10 and 14 filters used in the typical subway stations in Korea. In the field researches, the developed ESP achieved over 80% of the PM collection efficiency higher than those of the filters with MERV-10 and -14, and even 10% higher efficiency against PM1.0, while generating only 10% of pressure drop and also emitting nearly zero ozone. It is concluded that a novel ESP type air cleaning system with near zero ozone emission could be a promising air cleaning method for a large indoor environment such as a subway station where polluted air with ultrafine particles flowed in with a very high flow rate.
Significant Research and Technology Landscape on Electrostatically Charged Sprays for Agro-Food and Health Industry
Authors: Kumar Patel Mamoj , Rani Raj , Sohel Aamir , Chauhan Aarti 
Published: February 2024

Abstract
The trans-disciplinary aspects of the embryonic field of electrostatic spraying have provided a major motivation to researchers for the development of novel techniques for spraying of protective coatings to perishable food commodities for enhanced shelf-life, protective agents for health and hygiene in addition to other applications of sprays to manufacturing, transportation, agriculture, environment, medical facilities and devices. It has become the motives behind the renewed curiosity in the usage of the electrostatics in liquid based sprays. This provides an efficient and uniform transportation of liquid based agents which avoids the wastage of natural resource with enhanced performance. Edible coatings and incorporation of nutrition and active ingredients may improve fruit quality providing foodstuffs supplemented with extra flavour and a delicious, tantalizing and mouth-watering appearance. Electrostatic spray technology for coating of antioxidants and edible films for food products and fruits preservation is a sustainable development strategy in this revolutionary technology era that has gained a lot of attention owing to its importance in enhancing the shelf life of foods keeping its nutritional and sensory properties. Electrostatic disinfection and sanitization has gained a lot of attention and people became more alert about health and hygiene during the COVID-19 pandemic. Although few research initiatives have been taken over the past years, the work largely remains in the nascent stage as far as field-scale technology development and commercialization is concerned. These technological and life sustaining technologies will overall lead to improvement in the quality of life. A significant value of the charge-to-mass ratio (Q/M) of 4.83 mC/kg was achieved at applied air pressure of 4 bar and liquid flow rate of 130 ml/min at a target distance of 10 cm from the nozzle tip.
Functional characterization of polymeric organic scintillation material for preclinical imaging applications.
Authors: Aguilar-Uribe Israel , Vera-Tizatl Pamela , Chairez Isaac , Santos-Cuevas Leticia , Ramírez-Nava Gerardo 
Published: February 2024

Abstract
This study is aimed at evaluating scintillating plastic
blocks with scintillation characteristics matching a highly
efficient charge-coupled device (CCD) for preclinical
nuclear/radioisotopic imaging. A composite layer formed with an
array of plastic blocks is operated as an image collection
device. The scintillating layer used four EJ 204 plastic
scintillators attached to a 3D-printed supporting piece made from
polylactic acid and made up by using an additive manufacturing
developing strategy. An image processing algorithm was developed in
MATLAB to characterize the response of the scintillation material
and to obtain the distribution of radioactive samples in
bi-dimensional images. To obtain functional images, a set of
correction techniques to reduce scattered radiation was implemented
in the collected images. By integrating the radiation detection
stage with a robotic rotation system, a three-dimensional
reconstruction of a murine model was obtained. The reconstructed
preclinical image was overlayed with an X-ray to obtain a
functional-anatomical visualization of the radio-pharmaceutical
99mTc-RGD in the studied murine model. The assessed polymeric
organic blocks are competitive to professional nuclear/radioisotopic
imaging scintillators considering the obtained temporal response and
the imaging captured information.
Reliable precipitation nowcasting using probabilistic diffusion models
Authors: Nai Congyi , Pan Baoxiang , Chen Xi , Tang Qiuhong , Ni Guangheng , Duan Qingyun , Lu Bo , Xiao Ziniu , Liu Xingcai 
Published: February 2024

Abstract
Precipitation nowcasting is a crucial element in current weather service systems. Data-driven methods have proven highly advantageous, due to their flexibility in utilizing detailed initial hydrometeor observations, and their capability to approximate meteorological dynamics effectively given sufficient training data. However, current data-driven methods often encounter severe approximation/optimization errors, rendering their predictions and associated uncertainty estimates unreliable. Here a probabilistic diffusion model-based precipitation nowcasting methodology is introduced, overcoming the notorious blurriness and mode collapse issues in existing practices. Diffusion models learn a sequential of neural networks to reverse a pre-defined diffusion process that generates the probability distribution of future precipitation fields. The precipitation nowcasting based on diffusion model results in a 3.7% improvement in continuous ranked probability score compared to state-of-the-art generative adversarial model-based method. Critically, diffusion model significantly enhance the reliability of forecast uncertainty estimates, evidenced in a 68% gain of spread-skill ratio skill. As a result, diffusion model provides more reliable probabilistic precipitation nowcasting, showing the potential to better support weather-related decision makings.
Error bounds for Lie group representations in quantum mechanics
Authors: van Luijk Lauritz , Galke Niklas , Hahn Alexander , Burgarth Daniel 
Published: February 2024

Abstract
We provide state-dependent error bounds for strongly continuous unitary representations of connected Lie groups. That is, we bound the difference of two unitaries applied to a state in terms of the energy with respect to a reference Hamiltonian associated with the representation and a left-invariant metric distance on the group. Our method works for any connected Lie group, and the metric is independent of the chosen representation. The approach also applies to projective representations and allows us to provide bounds on the energy-constrained diamond norm distance of any suitably continuous channel representation of the group.
Experiments for a power law of near-surface mean velocity profiles in stratified boundary layers
Authors: Mouri Hideaki , Morinaga Takeshi , Yagi Toshimasa 
Published: February 2024

Abstract
Through a series of experiments in a wind tunnel, we study the near-surface profiles of the mean streamwise velocity in thermally stratified boundary layers. The surface is horizontal and is smooth or roughened by rods. We heat or chill this surface to achieve that stratification. Temperature-compensated hot-film anemometry is used to measure the mean streamwise velocity. Within the transition sublayer, lying in between the surface and the constant-flux sublayer, we find that the velocity profile is always a power-law function of the height from the surface. Its exponent ranges from 0.01 to 0.2 and increases with the surface roughness and the surface temperature. We summarize these findings in a formula and discuss its applications to the atmospheric boundary layer via the so-called Reynolds number similarity.