bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of atomic oxygen and its electronic coherence decays using time-resolved ultrafast coherent Raman scattering
Authors: Chen Timothy Y. , Kliewer Christopher J. 
Published: February 2025

We report the detection of atomic oxygen and quantitative measurements of its electronic Raman coherence decays in flames and low-temperature plasmas using time-resolved hybrid femtosecond/picosecond coherent anti-Stokes Raman scattering (CARS). Atomic oxygen was detected using the Raman transitions between the spin–orbit coupled triplet ground states. Atomic oxygen was generated in an H2/O2/Ar diffusion flame and an O2/Ar pulsed plasma discharge. Single exponential decays were observed for the O(3P2)–O(3P1) Raman transition at 158.3 cm−1 and the O(3P2)–O(3P0) Raman transition at 227 cm−1. From the decay measurements, the atomic O Raman linewidths were obtained from 25 to 150 Torr in non-equilibrium plasma and at 760 Torr in a flame. Enhanced signal-to-noise ratios (SNRs) of atomic oxygen and atomic to molecular oxygen signal contrasts were obtained by taking advantage of electronic triplet coherence beating. Enhancement of up to seven times in the atomic O SNR was observed. We also found that the dephasing rates of O2(v = 0–3, N = 37) were similar, which provides evidence for the assumption that vibrational excitation does not influence the dephasing of diatomic molecular rotational CARS transitions.
Environmental conservation and urban development as competing stories of place and
space in Singapore
Authors: E Marissa K. L. , Tan Sabine 
Published: February 2025

Abstract
In this paper, we focus on the context of urban development in Singapore, where some of the country’s remaining
forests have been earmarked for development, to examine how discourses of development and conservation are semiotized via
multimodal representations of the forest landscape in environmental communication. To show how these discourses interact, we use
one of the forests identified for development, Dover Forest, as a case study, employing de
Certeau’s (2011) concepts of ‘place’, ‘space’ and ‘spatial stories’ to demonstrate how the Singapore state’s narratives
of place emphasize national development imperatives connected to neoliberal market logics, with conservationists utilizing
narratives of space that emphasize conservation, though the latter emphasis is not made unproblematically without impact from
narratives of place. Implications of the analyses are briefly discussed with reference to de Certeau’s theory in light of the
complexity of environmental conservation discourse where a dominant developmental state agenda persists.
The impact of an antisymmetric tensor on charged black holes: evaporation process, geodesics, deflection angle, scattering effects and quasinormal modes
Authors: Araújo Filho Adailton Azevêdo , Heidari Narges , Reis João Alfíeres Andrade de Simões dos , Hassanabadi Hasan 
Published: February 2025

Abstract
In this paper, we investigate the influence of anti--symmetric tensor effects, which trigger the Lorentz symmetry breaking, on charged spherically symmetric black holes. Initially, we address an overview of the model, laying the groundwork for deriving solutions to black holes. With this, we analyze the horizons, critical orbits, and geodesics. We compute quasinormal modes and the time--domain solution with a particular emphasis on vectorial perturbations. In addition, we derive the Hawking temperature to perform the calculation of the remnant mass. Additionally, we estimate the lifetime of the black holes until they reach their final stage after the evaporation process. Finally, we explore the emission rate, the deflection angle and, we investigate the correlation between quasinormal modes and shadows.
Large bulk photovoltaic effect and Fermi-surface-mediated enhancement with chemical potential in ZnGeP$_2$
Authors: Sadhukhan Banasree 
Published: February 2025

Abstract
Bulk photovoltaic effect is a non-linear response in noncentrosymmetric materials that converts light into DC current. In this work, we investigate the optical linear and non-linear responses in a chalcopyrite semiconductor ZnGeP$_2$. The reference point for chemical potential (E$_f$) appears at the valence band maximum of high symmetry $\Gamma$ point in Brillouin zone for ZnGeP$_2$. We report large bulk photovoltaic namely shift and circular photogalvanic current conductivities which are 4.46 $\mu$A/V$^2$ and -5.49 $\mu$A/V$^2$ respectively with the incident photo energy around $\sim$ 5 eV at the chemical potential of E$_f$ = 0 eV which increase about 38\% and 81\% respectively at a chemical potential of E$_f$ = 1.52 eV. The systematic evolution of the bulk Fermi surface along with the high symmetry points in three dimensional Brillouin zone reveals the enhancement of bulk photovoltaic with the chemical potential in ZnGeP$_2$. We further explore the distribution of bulk projected band and surface Fermi surface distribution in the energy landscape using tight binding Hamiltonian within semi infinite slab geometry. The augmentation of bulk photovoltaic with the chemical potential is due to the projected bulk bands along the high symmetry $\Gamma-Z$ direction in Brillouin zone. Our thorough and detailed study not only provide a deeper understanding about the role of Fermi surface contribution to the bulk photovoltaic responses with chemical potential, but also suggest ZnGeP$_2$ as an ideal candidate for optoelectronics and bulk photovoltaic.
Similar texture recognition based on FBG finger-shaped tactile sensors
Authors: Hu Yong , Wang Yan , Wang Chen , Cheng Chunyang , Yao Fengqi 
Published: February 2025

Abstract
Current tactile perception of surfaces with identical materials and similar textures relies on additional equipment to maintain a constant velocity for sensors, which constrains the practical application of tactile sensing devices in daily life. A finger-shaped tactile sensor leveraging the high sensitivity of Fiber Bragg Grating (FBG) in tactile sensing is proposed in this paper. It is able to distinguish different textures based on the variation amplitude of the central wavelength in FBG. The deployment position of FBG was optimized using COMSOL Multiphysics finite element simulation software, analyzing the influence of texture depth on the output signal, and an experimental platform was constructed to collect 11 texture signals from three categories. The experimental results show that different texture features are reflected by the amplitude of FBG signal, using the SVM classification model to classify four kinds of regular ridge spacing textures and three kinds of fabric texture samples collected at random velocity, and the recognition accuracy is 99.17% and 98.89%, respectively. This method, compared to other similar texture tactile experiments, has better classification ability and advantages in adapting to different texture perception speeds, providing valuable reference for intelligent perception of robot fingertip touch.
Statistical Characteristics Clustering Based Adaptive Debris Signature Identification Method for Inductive Sensors with Dual Phase
Authors: Song Hongzheng , Deng Yunchun , Luo Jiufei 
Published: February 2025

Abstract
Wear monitoring plays an important role in the early warning of mechanical equipment failures and in predicting operational life. Inductive sensors provide data support for wear analysis by monitoring and extracting key features of oil debris online. However, the low identification accuracy of tiny metal particles under complex interference remains a critical factor that limits detection sensitivity. The sensors with dual probes utilize a double-induction structure to enhance noise reduction and debris perception through correlation analysis. Nevertheless, the peformance of debris signature identification still face challenges related to dependence on prior knowledge, insufficiant sensitivity, destruction to features and weak generalizability. In this study, we propose a novel debris signatures identification method, names GIM-SCC. By constructing a global independence metric (GIM), time series samples are transformed into characterization vectors and debris identification is then achieved by a statistical characteristic clustering (SCC). Through numerical simulations and experiments, we demonstrate the advantages of this method in terms of signature identification accuracy, robustness, feature protection ability and generalization capability through algorithm comparison. This contribution is expected to provide reliable technical support for the accurate extraction of debris sigantures via inductive sensors with dual probes.
Modeling and Validation of Dual-impact Behavior of Fault in Cylindrical Bearing Raceway Considering Defect Evolution
Authors: Shi Jinchuan , Xue Zhengkun , Deng Zhenhong , Luo Huageng , Li Jian 
Published: February 2025

Abstract
Characterization of the dual-impact phenomenon is an effective way to evaluate the extent of damage in a cylindrical bearing, and thus the bearing’s remaining life. Therefore, it is of great importance to conduct in-depth research and achieve through understanding on the impact behaviors during the defect development process throughout the life cycle of the bearing. In this paper, a nonlinear dynamic model considering defect evolution is established for cylindrical bearings. The model integrates non-penetrating and penetrating damage models to simulate the continuous evolution of inner and outer raceway damages, overcoming the limitations of traditional single-damage modes. Its automatic switching mechanism ensures uninterrupted simulation across multiple damage modes, enabling dynamic damage propagation analysis. The size and severity of raceway defects during the bearing's life cycle can be accurately inferred by analyzing the timing of vibration responses with defect estimation methods. This enables precise assessment of the bearing's health status. To validate this, fault bearings with varying damage types and sizes were manufactured and tested. The vibration signal analysis results have shown a good simulation-experiment agreement. The developed model provides a good candidate for digital twin modeling for the roller bearing condition monitoring.
Diversified multiplexing based on multi-dimensional light modulation of single-layered diatomic dielectric metasurface
Authors: Wu Rui , Jiang Xiquan , Jiang Kun , Ding Shuangshuang , Ma Jingwen , Gao Xinpeng , Zhou Changda , He Guoli , Teng Shuyun 
Published: February 2025

Abstract
A single-layered diatomic metasurface is proposed to manipulate multiple parameters of light field including the amplitude, phase and state of polarization and realize multiple channel holographic imaging. The diatom consists of two identical c-silicon nanopillars, complex amplitude holographic imaging, polarization multiplex imaging and structured light generation are realized by the rotated nanopillar array. Many applications are exemplified to verify the light manipulation abilities of the designed diatomic metasurfaces. The simple design, convenient operation and versatile functionalities of single-layered diatomic metasurface will pave the road for the applications of metasurfaces in optical integration and optical multiplexing.&#xD;
Recursion operator of integrable lattices associated with Cauchy bi-orthogonal polynomials
Authors: Wu Wenjia , Wang Bao 
Published: February 2025

Abstract
We construct a recursion operator for a family of discrete integrable systems associated with Cauchy bi-orthogonal polynomials, utilizing its Lax representation. Moreover, we explicitly demonstrate the bi-Hamiltonian structures from a factorization of the recursion operator.&#xD;
Dipole excitations properties in pseudo-mirror 162Er-166Yb nuclei
Authors: Demirci Saygı Nilufer 
Published: February 2025

Abstract
It has been known that pseudo-mirror nuclei having particle-hole symmetry reveal similar excitation patterns up to 10+ in yrast bands. The present work aims to determine the limit of symmetrical behavior of pseudo-mirror nuclei in the context of electric (E1) and magnetic (M1) dipole transitions. For the first time, this work investigated the electric and magnetic dipole excitation modes in particle-hole symmetric 162Er and 166Yb Pseudo-Mirror Nuclei (PMN) with the same NpNn numbers equal to 168, where the NpNn quantity is an indicator of this particle-hole symmetry. The B(E1↑) transition probabilities, splitting of dipole states into K=0 and K=1, and photo absorption cross-section of the E1 and the B(M1↑) transition probability, strength function including orbital and spin contribution of the M1transitions from the ground- to excited states in the PMN 162Er and 166Yb isotopes have been investigated within the Quasiparticle Random Phase Approximation (QRPA) framework, which includes rotational (RI-), translational, and Galilean invariant (TGI-) components. The TALYS code has been employed to compare the photo absorption cross-sections obtained from TGI-QRPA.
A Graph Neural Network and Multi-Task Learning-Based Decoding Algorithm for Enhancing XZZX Code Stability in Biased Noise
Authors: Xiao Bo , Fan Zai-Xu , Sun Hui-Qian , Ma Hong-Yang , Fan Xing-Kui 
Published: February 2025

Abstract
Quantum error correction is a technique that enhances a system’s ability to combat noise by encoding logical information into additional quantum bits, which plays a key role in building practical quantum computers. The XZZX surface code, with only one stabilizer generator on each face, demonstrates significant application potential under biased noise. However, the existing Minimum Weight Perfect Matching (MWPM) algorithm has high computational complexity and lacks flexibility in large-scale systems. Therefore, this paper proposes a decoding method that combines Graph Neural Networks (GNN) with multi-classifiers,The syndrome is transformed into an undirected graph, and the features are aggregated by convolutional layers, providing a more efficient and accurate decoding strategy. In the experiments, we evaluated the performance of the XZZX code under different biased noise conditions (bias = 1,20,200) and different code distances (d=3,5,7,9,11). The experimental results show that under low bias noise (bias = 1), the GNN decoder achieves a threshold of 0.18386, an improvement of approximately 19.12% compared to the MWPM decoder. Under high bias noise (bias = 200), the GNN decoder reaches a threshold of 0.40542, improving by approximately 20.76%, overcoming the limitations of the conventional decoder.They demonstrate that the GNN decoding method exhibits superior performance and has broad application potential in the error correction of XZZX code.
Animal-robot interaction induces local enhancement in the Mediterranean fruit fly Ceratitis capitata Wiedemann
Authors: Romano Donato , Stefanini Cesare 
Published: February 2025

Abstract
Animal-robot interaction (ARI) is an emerging field that uses biomimetic robots to replicate biological cues, enabling controlled studies of animal behavior. This study investigates the potential for ARI systems to induce local enhancement (e.g., where animals are attracted to areas based on the presence or actions of conspecifics) in the Mediterranean fruit fly, Ceratitis capitata, a major agricultural pest. We developed biomimetic agents that mimic C. capitata in morphology and color, to explore their ability to trigger local enhancement. The study employed three categories of artificial agents: Full Biomimetic Agent (FBA), Partial Biomimetic Agent (PBA), and Non-Biomimetic Agent (NBA), in both motionless and moving states. Flies exposed to motionless FBAs showed a significant preference for areas containing these agents compared to areas with no agents. Similarly, moving FBAs also attracted more flies than stationary agents. Time spent in the release section before making a choice and the overall experiment duration were significantly shorter when conspecifics or moving FBAs were present, indicating that C. capitata is highly responsive to biomimetic cues, particularly motion. These results suggest that ARI systems can be effective tools for understanding and manipulating local enhancement in C. capitata, offering new opportunities for sustainable pest control in agricultural contexts. Overall, this research demonstrates the potential of ARI as an innovative, sustainable approach to insect population control, with broad applications in both fundamental behavioral research and integrated pest management.
Progress of surface modifications of temporary anchorage devices: a review
Authors: Li Menghong , Sun Yuanyuan , Kuitert Reinder , Wang Mingjie , Kou Wen , Hu Min , Liu Yuelian 
Published: February 2025

Abstract
Temporary anchorage devices (TADs) have evolved as useful anchorage providers for orthodontic tooth movements. To improve the stability of TADs, a number of modifications on their surface have been developed and investigated. This review comprehensively summarizes recent findings of clinically applied surface modifications of TADs and compared the biological improvement of these modifications. We focused on sandblasting, large-grit, acid etching (SLA), anodic oxidation (AO) and ultraviolet photofunctionalization (UVP). In vitro, in vivo and clinical studies of these surface modifications on TADs with clear explanations, low possibility of bias and published in English were included. Studies demonstrated that SLA, AO and UVP enhance cell attachment, proliferation, and differentiation in vitro. The biocompatibility and osteoconductivity of TAD surface are improved in vivo. However, in clinical studies, the changes are generally not so impressive. Furthermore, this review highlights the promising potential in combinations of different modifications. In addition, some other surface modifications, for instance, the biomimetic calcium phosphate coating, deserve to be proposed as future strategies.&#xD;
Synthesis and application of chitosan nanoparticles for bone tissue regeneration
Authors: Li Jian , Fan Chun , Zhao Baodong , Liang Ye 
Published: February 2025

Abstract
Bone defects, resulting from trauma, tumor removal, infection, or congenital anomalies, are increasingly prevalent in clinical practice. Progress in bone tissue engineering (BTE) has significantly advanced bone regeneration techniques. Chitosan-based nanoparticles (ChNPs) have emerged as a promising drug delivery system due to their inherent ability to enhance bone regeneration. These nanoparticles can extend the activity of osteogenic factors while ensuring their controlled release. Common synthesis methods for ChNPs include ionic gelation, complex coacervation, and polyelectrolyte complexation. ChNPs have demonstrated effectiveness in bone regeneration by delivering osteogenic agents, including DNA/RNA, proteins, and therapeutics. This review provides a comprehensive analysis of recent studies on ChNPs in bone regeneration, sourced from the PubMed database. It examines their synthesis techniques, advantages as drug delivery systems, incorporation into scaffold materials, and the challenges that remain in the field.
Integrating Quantum Algorithms Into Classical Frameworks: A Predictor-corrector Approach Using HHL
Authors: Rathore Omer , Basden Alastair , Chancellor Nicholas , Kusumaatmaja Halim 
Published: February 2025

Abstract
The application of quantum algorithms to classical problems is generally accompanied by significant bottlenecks when transferring data between quantum and classical states, often negating any intrinsic quantum advantage. Here we address this challenge for a well-known algorithm for linear systems of equations, originally proposed by Harrow, Hassidim and Lloyd (HHL), by adapting it into a predictor-corrector instead of a direct solver. Rather than seeking the solution at the next time step, the goal now becomes determining the change between time steps. This strategy enables the intelligent omission of computationally costly steps commonly found in many classical algorithms, while simultaneously mitigating the notorious readout problems associated with extracting solutions from a quantum state. Random or regularly performed skips instead lead to simulation failure. We demonstrate that our methodology secures a useful polynomial advantage over a conventional application of the HHL algorithm. The practicality and versatility of the approach are illustrated through applications in various fields such as smoothed particle hydrodynamics, plasma simulations, and reactive flow configurations. Moreover, the proposed algorithm is well suited to run asynchronously on future heterogeneous hardware infrastructures and can effectively leverage the synergistic strengths of classical as well as quantum compute resources.
Additive Manufacturing of Ultrastrong and Ductile Nickel Matrix Composites via Hetero-Deformation Induced Strengthening
Authors: Sui Shang , Qi Jiawei , Ma Dong , Xu Chunjie , Qi Yuanshen , Xu Mengting , Liu Yuhang , Yu Wanjian , Guo Can , Wu Xiangquan , Zhang Zhongming 
Published: February 2025

Abstract
Hetero-deformation induced (HDI) strengthening is normally weak and overlooked in particle reinforced metal matrix composites (MMCs), largely restricting the further improvement in mechanical properties and thus limiting the practical application accordingly. Herein, we report a strategy to induce remarkable HDI strengthening in MMCs, which is to choose a reinforcing material with excellent ability to store geometrically necessary dislocations (GNDs), and establish the validity in an additively manufactured nickel matrix composites with Inconel 625 (IN625) as the matrix and high-entropy alloy VNbMoTa as the reinforcing material. The results show that the average grain size and the dislocation density of the additively manufactured MMCs are gradually decreased with increasing the VNbMoTa addition. All the samples have a similar VNbMoTa-matrix interface structure, which is characterized by a two-layer feature involving a high entropy alloy layer and a Laves phase layer, although the interface width varies. The two-layer interface can hold GNDs pile-up without breaking to ensure a good load transfer effect, and the ductile VNbMoTa demonstrates excellent GNDs storage capacity to induce significant HDI stress. The HDI stress in the IN625-(10 wt. %)VNbMoTa sample is about 200 MPa higher than that in the pure IN625 sample, resulting in an excellent strength-ductility synergy. Specifically, the yield strength and elongation of the IN625-(10 wt. %)VNbMoTa sample reach 1032.5 ± 18.8 MPa and 11.8 ± 1.2 %, respectively. In addition, the IN625-(10 wt. %)VNbMoTa composite also demonstrates superior mechanical properties at 650 °C that are comparable to those at room temperature, which means that the VNbMoTa additive can remarkably restrain the strength reduction with temperature. The reason lies in that the deformability of the VNbMoTa particle effectively alleviates the stress concentration and delay the crack initiation, resulting in more dislocation generation and pile-up, thus improving the overall high-temperature strength.