bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of capping on the Dirac semimetal Cd3As2 on Si grown via molecular beam epitaxy
Authors: Lin Wei-Chen , Chuang Chiashain , Kuo Chun-Wei , Wu Meng-Ting , Lee Jie-Ying , Lee Hsin-Hsuan , Yang Cheng-Hsueh , Ci Ji-Wei , Xie Tian-Shun , Watanabe Kenji , Taniguchi Takashi , Aoki Nobuyuki , Wang Jyh-Shyang , Liang Chi-Te 
Published: February 2025

Abstract
Given the promising applications of large magnetoresistance in the Dirac semimetal cadmium arsenide (Cd3As2), extensive research into Si-compatible Cd3As2 devices is highly desirable. To prevent surface degradation and oxidation, the implementation of a protection layer on Cd3As2 is imperative. In this study, two vastly different protecting layers were prepared by on top of two Cd3As2 samples. A zinc telluride layer was grown on top of one Cd3As2 film, giving rise to an ten-fold increased mobility, compared to that of the pristine Cd3As2 sample. Interestingly, unusual negative magnetoresistance is observed in the hexagonal boron nitride (h-BN)-capped Cd3As2 device when a magnetic field is applied perpendicularly to the Cd3As2 plane. This is in sharp contrast to the chiral anomaly that requires a magnetic field parallel to the Cd3As2 plane. We suggest that a protection layer on MBE-grown Cd3As2 should be useful for realizing its great device applications in magnetic sensing.
Modeling of the N2
+ ion in cold helium plasma III: relaxation of rotational excitations in N2
+
Authors: Nongni Fresnelle Tenanguena , Benhenni Malika , Kalus Rene , Gadéa Florent Xavier , Leininger Thierry , Yousfi Mohammed 
Published: February 2025

Abstract
Reaction rate constants of rotational transitions in the N2+ ion (j -> j', j ≦ 36) induced by collisions with helium atoms have been calculated using recently reported cross-sections [ChemPhysChem, 25:e202300469, 2024] obtained via classical trajectories run on the ground-state potential energy surface of the N2+/He collision complex obtained at a MCSCF/aug-cc-pVQZ level. Weak to medium electric fields (E/N = 1-100 Td) have been considered. In addition, the role of vibrational excitations in N2+ (v=0 -> v=1) is also briefly discussed and shown negligible under the conditions considered. The calculated rate constants have been used to model the relaxation dynamics of rotationally excited N2+ ions and to estimate its characteristic time scales as well as effective temperatures of relaxed N2+ ions.&#xD;
A FRACTIONAL ORDER AGE-STRUCTURED MODEL TO STUDY THE EFFECT OF SOCIAL AWARENESS ON ALCOHOL CONSUMPTION
Authors: RAJPUT ASHUTOSH , Aggarwal Rajiv 
Published: February 2025

Abstract
Substance abuse is a widespread societal issue that transcends class boundaries, significantly influencing various facets of life. Consuming alcohol is linked to an elevated risk of non- infectious diseases, including liver disorders, cardiovascular conditions, diverse cancer types, and certain communicable diseases rooted in immune system impairment, such as HIV. Accordingly, we have developed a nonlinear mathematical model to explore alcohol consumption, incorporating the novel fractional-order derivative in the Caputo sense to determine the impact of the memory effect on drinking behavior. The model considers two distinct groups: youth and adults, analyzing how adult influence shapes the drinking habits of the younger generation. Additionally, the model accounts for the crucial role of social and media-driven awareness in shaping this phenomenon. To evaluate the model, we have calculated the basic reproduction numbers for both the youth and adult populations, which serve as measures of the contagiousness of alcohol consumption. The study has determined an alcohol-free equilibrium point that is locally stable when both reproduction numbers are below one. However, if either reproduction number exceeds one, an additional alcohol-persistence equilibrium point emerges, indicating the potential for a backward bifurcation in the model. The model has been further simulated numerically to verify the analytical results and examine the impact of fractional derivatives on the system. Numerical findings suggest that increasing the memory effect by decreasing the value of α can significantly reduce the drinking population. Additionally, it is observed that if adult potential drinkers abstain from alcohol and create an alcohol-free environment for the youth, the drinking population can be substantially diminished. Therefore, a combined effort from both the youth and adult populations is essential to prevent binge drinking and reduce the overall drinking population.
Quantum resonance viewed as weak measurement
Authors: Ueda Daiki , Tsutsui Izumi 
Published: February 2025

Abstract
Quantum resonance, i.e., ampliﬁcation in transition probability available under certain conditions, oﬀers a powerful means for determining fundamental quantities in physics, including the time duration of the second adopted in the SI units and neutron’s electric dipole moment which is directly linked to CP violation. We revisit two of the typical examples, the Rabi resonance and the Ramsey resonance, and show that both of these represent the weak value amplification when involving significant enhancement of transition probabilities and that near the resonance points they share exactly the same behavior of transition probabilities except for the measurement strength whose difference leads to the known advantage of the Ramsey resonance in the sensitivity. Conversely, as a by-product of the relationship, we may measure the weak value through quantum resonance. In fact, we argue that previous measurements of neutron electric dipole moment based on the Ramsey resonance have potentially determined the weak value of neutron’s spin with much higher precision than the conventional weak value measurement.&#xD;
Distinctive GWBs from eccentric inspiraling SMBH binaries with a DM spike
Authors: Hu Li , Cai Rong-Gen , Wang Shao-Jiang 
Published: February 2025

Abstract
Recent detections of a low-frequency gravitational wave background (GWB) from various pulsar-timing-array (PTA) observations have renewed the interest in the inspiraling supermassive black hole binaries (SMBHBs), whose population is believed to be the most promising candidate with possible generalizations from including either orbital eccentricity or dark matter (DM) spike. In this paper, we show that the inclusion of both can further display distinctive features detectable in future PTA observations. With a typical initial eccentricity e
0 ∼ 𝒪(0.1) for the inspiraling SMBHBs, even a shallow DM spike can easily drive the orbital eccentricity close to 1, leaving behind a large turnover eccentricity when GWs begin to dominate the orbital circularization. In particular, the DM spike index γ
sp universally manifests itself in the characteristic strain by hc
∼ f
7/6-γ

sp/3 in the far infrared and features a novel oscillation structure at low frequencies. Future PTA detection of such characteristics would be the smoking gun for the DM spike and even reveal the nature of DM.
Optimal control analysis based on SEIR-V model
Authors: Chen Yanyu 
Published: February 2025

Abstract
The development of effective epidemic control strategies to minimize economic losses has become an urgent need after the global economy suffers from the impacts caused by infectious disease pandemics. In this study, the SEIR-V model was designed based on the SEIR model with the introduction of vaccination and medication control variables, in order to explore how to reduce the spread of epidemics while minimizing the socio-economic costs. In this paper, the effectiveness of the control strategy is verified by numerical simulation using Pontryagin’s principle of great value, and the results show that the number of infected people can be significantly reduced and the cost of the epidemic can be controlled by appropriately adjusting the vaccination rate and the coverage of drug treatment.
Research on dynamic parameter testing of 24-bit ADC based on V93000 test system
Authors: Ding Tao , Gu Zucheng , Ma Xiaojun 
Published: February 2025

Abstract
To solve the problem that the built-in signal source of V93000 cannot provide excitation for 24-bit high-precision ADC in the low-frequency band, this paper proposes a method based on the joint test of V93000 and AP555, using the output of the high-precision AP555 audio analyzer as the test signal source, and using the V93000 LSI test bench of Advantest as the test equipment. It can effectively improve the measurement accuracy of ADC parameters. The test results show that the method based on the joint test of V93000 and AP555 can make up for the low accuracy of the built-in excitation signal source of V93000 at low frequency, and complete the test of dynamic parameters of 24-bit high-precision ADC.
Research on crack propagation utilizing improved bond-based peridynamic theory
Authors: He Feng , Wang Xiangnan , Li Haoran 
Published: February 2025

Abstract
The Peridynamics theory has advantages in solving discontinuity problems, but the classical bond-based Peridynamics kernel function is fixed, and the bond force will disappear suddenly when reaching the critical elongation rate, which will lead to simulation distortion. In this paper, the kernel function of Peridynamics is improved, and the Peridynamics simulation is carried out for the calculation examples with circular holes and prefabricated cracks. The findings indicate that the enhanced kernel function relation equation effectively captures the principle that the strength of long-range forces diminishes as the distance between material points increases. The emergence and expansion bifurcation law for cracks has been determined using an enhanced method applied to a flat plate with a circular hole and a pre-fabricated single-cracked numerical example. This improved method effectively predicts the outcomes of crack propagation.
Flow analysis of tilt-rotor unmanned aerial vehicle under different working conditions
Authors: Liu Yulin , Luo Haitao , Liu Ziyang 
Published: February 2025

Abstract
This study aims to examine the rotor surface pressure distribution, the rotor’s effects on the wing and fuselage, and the surrounding flow field structure during the operation of a tilt-rotor Unmanned Aerial Vehicle (UAV). Using Fluent software, numerical simulations are performed to analyze the flow field around the rotor and the pressure variations across its surface, under three operational scenarios: vertical climb, rotor tilt, and high-speed level flight. The findings indicate that the rotor’s surface pressure is predominantly concentrated at the leading edge across all three conditions, although the pressure distribution varies along the blade surface. Additionally, the rotor’s influence on the wing and fuselage is more pronounced during the rotor tilt and high-speed level flight conditions.
Research on marine ecosystem dynamics model parameter
Authors: Jiang Xujuan , Wang Bin , Niu Fuxin , Liu Wenlong , Yu Yanfang 
Published: February 2025

Abstract
The study of parameter inversion and its application is critical in the dynamic model of marine ecosystems, but the research has a problem with incorrect performance locating. The issue of inverse problem-solving methods is unable to deal with the inaccurate application positioning issue in the dynamic model of marine ecosystems, and the results are not enough. Therefore, a Sensitivity Analysis Methods-based research on the parameter inversion of the marine ecosystem dynamics model and its application is provided, and the parameter inversion of the Marine ecosystem dynamics model and its application are evaluated. Firstly, the influence factors were found by partial sensitivity analysis theory, and on the basis of researching parameter inversion, the index is divided. In the research and application of parameter inversion, it is necessary to reduce the interference factors. Then, a sensitivity analysis method is established by using the concept of partial sensitivity analysis in the study of parameter inversion and its application scheme, and the result of the research on parameter inversion and its application is tested. The study using simulation methods shows that, under the evaluation, the Sensitivity Analysis Method outperforms the standard Inverse problem-solving methods in terms of the study of parameter inversion and its application accuracy and time of influencing variables.
Theoretical analysis of steel catenary riser laid on the sloped seabed
Authors: Xu Shengbo , Hou Jinfang , Dong Zhichao , Wang Chaoyang 
Published: February 2025

Abstract
The steel catenary riser is a preferred solution in deepwater gas and oil exploration. Though the numerical solution can give a precise result, the theoretical analyses exhibit the advantages of more rapid calculation speed with a few parameters, thus making it more suitable for the preliminary design of the riser. Since the riser may be laid on the sloped seabed, the catenary theory was modified in this study to calculate the static behavior of the SCR, and the results were verified by the numerical model. The influences of the seabed inclination angle and heave motion exerted to the top of the riser on the TDP location were investigated. Since the riser rigidity was neglected in the catenary theory, the boundary layer solution was integrated into the model to accurately determine the mechanical behavior within the touchdown zone of the SCR. Based on the simulation result, it can be seen that both the TDP moving distance and riser maximum stress range are increased with the heave motion amplitude and the seabed slope, whereas the heave motion exerted to the hang-off point has a major influence.
Peakons of the shallow-water wave equation implementation with PINNs
Authors: Zhang Jianlin , Leng Yake , Dong Hui , Yang Jianuo , Jiao Yinglin 
Published: February 2025

Abstract
In this paper, we implement the peakon solution of the CH equation containing highly nonlinear terms using the Physics-Informed Neural Networks, and we define the corresponding neural network models according to different forms of peakon solution expressions. The main implementation is to study the spatio-temporal dynamics behaviour of the peakon solution for the general form of the CH equations. From the experimental results, the Physics-Informed Neural Networks can basically complete the analytical solution prediction of the shallow-water wave equation, and achieve the accurate capture of highly complex nonlinear terms, which proves the successful application of the Physics-Informed Neural Networks method in the peakon solution of the shallow-water wave equation.
Global existence and uniqueness of smooth solution to Landau-Lifshitz-Bloch equation with potential function
Authors: Gu Yue , Li Qiaoxin 
Published: February 2025

Abstract
The Landau-Lifshitz-Bloch equation is commonly used to characterize the micromagnetic phenomena near Curie temperature. In this paper, we first use the difference method to verify the local existence of smooth solutions for the Landau-Lifshitz-Bloch equations with potential functions. Then we use the energy method to verify the global existence and uniqueness of smooth solutions for periodic initial value problems as well as the Cauchy problem of the Landau-Lifshitz-Bloch equations in dimension one. Moreover, the approach adopted in this paper can be further extended to the investigation of the existence of solutions for other ferromagnetic chain equations
A numerical simulation method of composite geomembrane for seepage control panel dams in reservoir basins
Authors: Zhang Jing , Meng Yayun , Xu Hailiang , Qiu Yun , Yuan Li , Xue Wenbo 
Published: February 2025

Abstract
This paper discusses the numerical simulation method of composite geomembrane for a seepage control panel dam in a reservoir basin. As a key component of a pumped storage power plant, the seepage control performance directly affects the safety and economic benefits of the power plant. In the study, the coupled calculation method is used to analyze the deformation and stress characteristics of the geomembrane under different working conditions by combining the geomembrane planar unit and the soil hexahedral isoparametric unit. The results show that the geomembrane can effectively adapt to the settlement of the reservoir bottom, and the displacement calculation results when using the geomembrane unit are smaller and more uniformly distributed compared with those when the geomembrane is not used, which reflects its tensile capacity. At the same time, the calculation shows that the geomembrane has a good safety margin within the design allowable tensile strain, which guides geomembrane research in similar projects.
Results for ϕδ
-type cyclic mapping on extended b-metric space
Authors: Wu Dingping , Weng Shengquan 
Published: February 2025

Abstract
In this manuscript, based on extended b-metric spaces, we propose a new structure of cyclic mapping, that is ϕδ
-type cyclic mapping. The fixed-point theorem for ϕδ
-type cyclic mapping is established. A concrete example of ϕδ
-type cyclic mapping is given to show the reasonability and correctness of the obtained results. The result proposed by this manuscript extends known conclusions in some references.
A new method for characterization of the cohesion of sodium hyaluronate gel
Authors: Wu Hairui , Shao Yingfeng , Li Wei , Zhao Yu , Song Fan 
Published: February 2025

Abstract
Cohesion refers to the ability of the material not to separate, and the evaluation of cohesion for hyaluronic-based tissue fillers is conducive to their clinical application. In this paper, a characterization method based on gel microcolumn stretching is developed for the cohesion of hyaluronic acid-based fillers. The method has clear physical significance and can be used to measure the true stress-strain relationship of soft gel fillers. We use this method to measure the cohesion of four hyaluronic acid-based fillers and evaluate the cohesion of the same products using the method based on ASTM F2258-05 and the drop weight method. The results show that the three assessments of the relative cohesion trends of the four gel products were basically the same, demonstrating the rationality of our proposed method. It will promote the standard and scientific characterization of the cohesion of gel fillers.
Interval edge coloring of some classes operations graph of paths
Authors: Jin Meiqin , Tian Shuangliang , Zhong Chuang 
Published: February 2025

Abstract
With the wide application of combinatorial optimization problems in optics, we were inspired by optics and studied the interval edge coloring problem of operational graphs. The maximum value of t for an interval t-coloring is denoted by W(G), which is a proper edge-coloring of a graph G using colors 1, 2, …, t. In this coloring process, all colors are used, and the color of the edges associated with each vertex has a different color, forming an interval of integers. In this paper, we prove that G is interval colorable and we give a lower bound on W(G) if and only if G is a generalized Mycielski graph, double graph or middle graph of the path.
Research on the three-dimensional flow field distribution law of underwater pipelines under different flow rates
Authors: Zhang Hexi , Wang Fei , Yu Yanwen , Wang Xing 
Published: February 2025

Abstract
Due to the numerous water systems in the southwestern region of China, oil pipelines usually need to cross rivers. Underwater pipelines are exposed to long-term erosion from riverbed sediment, strong river water erosion, and corrosive environments, facing extremely high leakage risks. This experiment adopts an indoor water tank test and simulates underwater pipelines with circular organic glass tubes. Three different flow conditions are set up, namely 14L/s, 25L/s, and 39L/s. The research results indicate that: 1) When underwater pipelines generate flow around, vortices show a characteristic of alternating up and down generation, and the width of the wake vortices is basically maintained within the range of 1.2-1.5 times the pipe diameter; 2) There are significant distribution differences in the vertical flow velocity and turbulence intensity of underwater pipelines, and the greater the flow rate, the more obvious the differences. The flow velocity in the middle layer is the smallest, and the turbulence intensity is the largest; 3) By drawing the force diagram of the underwater pipeline, it can be seen that the net horizontal thrust increases the fastest, while the dynamic buoyancy increases the slowest.
Underwater biomimetic sonar target detection model based on Hipposideros Pratti
Authors: Pang Chunyang , Wang Feng , Liu Yuxin 
Published: February 2025

Abstract
Traditional underwater sonar detection systems are primarily based on numerical methods such as pulse compression, Doppler velocity measurement, and beamforming to measure target distance, velocity, and azimuth parameters. In contrast, the sonar systems of organisms like bats rely on highly evolved neural perception to accomplish these tasks. By studying the detection mechanisms of biological sonar and developing bionic models, the target detection capabilities of underwater sonar systems can be enhanced. Inspired by Hipposideros Pratti., this paper designs a bat bio-sonar model for underwater target detection and provides theoretical derivations for various target parameters detection. A biomimetic sonar multi-harmonic signal waveform is designed based on multi-carrier modulation theory. Through the combination of different subcarrier components, the signal's penetration power is optimized, environmental noise interference is reduced, and target resolution and recognition accuracy are enhanced. The proposed waveform’s excellent anti-reverberation performance is demonstrated through evaluations in underwater reverberation scenarios. For signal processing, this paper designs a parallel hierarchical processing architecture that can simultaneously handle different harmonic components sensing speed, distance, and azimuth information, significantly improving recognition accuracy and signal processing efficiency. To enhance the intelligence of bionic sonar systems, a parallel intelligent perception network model based on dilated convolution is proposed. It leverages feature maps of different harmonic groups to reduce the number of features required for extraction, improving the model’s training efficiency and achieving intelligent perception of the sonar system. Simulation results indicate that the combination of different harmonic components can effectively perceive variations in target speed, distance, and direction, exhibiting strong anti-reverberation capability. Neural network recognition results show that the combination of different harmonics achieves an accuracy rate of over 95% for speed, distance, and azimuth recognition, verifying that the designed model has strong capabilities in underwater target perception.