bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microwave-to-optical conversion in a room-temperature 87Rb vapor for frequency-division multiplexing control
Authors: Smith Benjamin D. , Babaei Bahar , Narayanan Andal , LeBlanc Lindsay J. 
Published: November 2023

AbstractCoherent microwave-to-optical conversion is crucial for transferring quantum information generated in the microwave domain to optical frequencies, where propagation losses can be minimized. Coherent, atom-based transducers have shown rapid progress in recent years. This paper reports an experimental demonstration of coherent microwave-to-optical conversion that maps a microwave signal to a large, tunable 550(30) MHz range of optical frequencies using room-temperature 87Rb atoms. The inhomogeneous Doppler broadening of the atomic vapor advantageously supports the tunability of an input microwave channel to any optical frequency channel within the Doppler width, along with the simultaneous conversion of a multi-channel input microwave field to corresponding optical channels. In addition, we demonstrate phase-correlated amplitude control of select channels, providing an analog to a frequency domain beam splitter across five orders of magnitude in frequency. With these capabilities, neutral atomic systems may also be effective quantum processors for quantum information encoded in frequency-bin qubits.
Topological and high-performance nonreciprocal extraordinary optical transmission from a guided mode to free-space radiation
Authors: Xu Jie , Luo Yamei , Yong Kangle , Baskourelos Konstantinos , Tsakmakidis Kosmas L. 
Published: November 2023

AbstractExtraordinary optical transmission (EOT) is a hallmark of surface plasmons and a precursor to nanoplasmonics and metamaterials. However, to the best of our knowledge, this effect has never been topologically protected in three dimensions, leaving it vulnerable to structural imperfections, nonlocal effects, and backreflections. We report broadband, three-dimensional unidirectional structures that allow for EOT (normalized transmission > 1) through deep-subdiffractional single holes, immune to these deleterious effects. These structures avoid unnecessary propagation losses and achieve maximum transmission through a single hole, limited only by unavoidable dissipative losses. In the limit of vanishing losses, the transmission through a deep-subdiffractional hole can approach unity, significantly surpassing existing devices, and rivaling the performance of negative-index ‘perfect’ lenses. The topological stability of these structures renders them robust against surface roughness, defects, and nonlocality, without the need for elaborate meta-structures or tapering.
Raising dikes and managed realignment may be insufficient for maintaining current flood risk along the German Baltic Sea coast
Authors: Kiesel Joshua , Honsel Lars E. , Lorenz Marvin , Gräwe Ulf , Vafeidis Athanasios T. 
Published: November 2023

AbstractWithout upgrading existing adaptation, Germany is projected to be among those European countries that will suffer severe flood damages in 2100. Here we use a validated modeling framework to explore the effectiveness of two hypothetical upgrades to existing dike lines in reducing flood extent and population exposure along the German Baltic Sea coast. We perform a number of model runs where we increase the heights of existing dikes by 1.5 m, implement managed realignment as a nature-based solution, where physically plausible, and run a 200-year surge under two sea-level rise scenarios (1 and 1.5 m). We show that managed realignment is more effective in reducing future population exposure to coastal flooding compared to increasing dike heights. However, the maximum reduction in population exposure compared to a do-nothing approach amounts to only 26%, suggesting that even managed realignment is insufficient to maintain flood risk at today´s levels. The greatest potential for protecting people and property from future flooding lies in developing adaptation strategies for currently unprotected coastal sections.
FUBA: A fuzzy‐based unmanned aerial vehicle behaviour analytics for trust management in flying ad‐hoc networks
Authors: Benfriha Sihem , Labraoui Nabila , Bensaid Radjaa , Bany Salameh Haythem , Saidi Hafida 
Published: November 2023

AbstractFlying Ad‐Hoc Network (FANET) is a promising ad hoc networking paradigm that can offer new added value services in military and civilian applications. Typically, it incorporates a group of Unmanned Aerial Vehicles (UAVs), known as drones that collaborate and cooperate to accomplish several missions without human intervention. However, UAV communications are prone to various attacks and detecting malicious nodes is essential for efficient FANET operation. Trust management is an effective method that plays a significant role in the prediction and recognition of intrusions in FANETs. Specifically, evaluating node behaviour remains an important issue in this domain. For this purpose, the authors suggest using fuzzy logic, one of the most commonly used methods for trust computation, which classifies nodes based on multiple criteria to handle complex environments. In addition, the Received Signal Strength Indication (RSSI) is an important parameter that can be used in fuzzy logic to evaluate a drone's behaviour. However, in outdoor flying networks, the RSSI can be seriously influenced by the humidity of the air, which can dramatically impact the accuracy of the trust results. FUBA, a fuzzy‐based UAV behaviour analytics is presented for trust management in FANETs. By considering humidity as a new parameter, FUBA can identify insider threats and increase the overall network's trustworthiness under bad weather conditions. It is capable of performing well in outdoor flying networks. The simulation results indicate that the proposed model significantly outperforms FNDN and UNION in terms of the average end‐to‐end delay and the false positive ratio.
Exploring the motivations of student volunteer translators in Chinese queer activism
Authors: Li Yizhu , Tao Youlan 
Published: November 2023

Abstract
Amateur translators have, on a collaborative and voluntary basis, played a notable role in queer activism, but queer translation studies has paid insufficient attention to them, especially in regions other than the Global North. Through the lens of volunteer motivation studies, this study adopts systemic quality of life theory of volunteer motivation and Q methodology to investigate the motivations of Chinese university students to voluntarily engage in a queer translation project. By probing into the translators’ lived experience and subjectivity, it uncovers various contextually mediated motivations, such as the adaptive pursuit for mental compatibility with the environment, exclusive social integration into a valued community, weakened activism for social change, and conservation of cultural belief stability. It also reveals some obstacles and dilemmas faced by the translators in Chinese queer activism.
Junction conditions in a general field theory
Authors: Racskó Bence 
Published: November 2023

Abstract
It is well-known in the modified gravity scene that the calculation of junction conditions in certain complicated theories leads to ambiguities and conflicts between the various formulations. This paper introduces a general framework to compute junction conditions in any reasonable classical field theory and analyzes their properties. We prove that in any variational field theory, it is possible to define unambiguous and mathematically well-defined junction conditions either by interpreting the Euler–Lagrange differential equation as a distribution or as the extremals of a variational functional and these two coincide. We provide an example calculation which highlights why ambiguities in the existing formalisms have arisen, essentially due to incorrect usage of distributions. Relations between junction conditions, the boundary value problem of variational principles and Gibbons–Hawking–York-like surface terms are examined. The methods presented herein relies on the use of coordinates adapted to represent the junction surface as a leaf in a foliation and a technique for reducing the order of Lagrangians to the lowest possible in the foliation parameter. We expect that the reduction theorem can generate independent interest from the rest of the topics considered in the paper.
Stability, quasinormal modes in a charged black hole in perfect fluid dark matter
Authors: Das Anish , Chowdhury Anirban Roy , Gangopadhyay Sunandan 
Published: November 2023

Abstract
In this work, we study time-like and null geodesics in a charged black hole background immersed in perfect fluid dark matter (PFDM). Using the condition for circular geodesics, we evaluate the energy and angular momentum in terms of the radius (r
0) of the timelike circular orbits. The existence and finiteness of energy and angular momentum constrain the possible range of PFDM parameter (χ) and r
0. In case of null geodesics, we calculate the radius rp
of the unstable circular photon orbits. We then use the Lyapunov exponent to study the stability of the geodesics. Then we analyze the critical exponent useful for determining the possibility of detection of gravitational wave signals. After that, we study the perturbation due to a massless scalar field in such a background and calculate the quasinormal mode (QNM) frequencies and their dependence on χ and black hole charge Q. Also, we compare the obtained QNM frequencies both in the exact case and in the eikonal limit. We also calculate the quality factor of the oscillating system and study its dependence on χ and Q. Finally, we evaluate the black hole shadow radius Rs
and graphically observe the effect of χ and Q on it.
The origins of physics words
Authors: Binder P-M 
Published: November 2023

Abstract
The predominantly Greek and Latin etymological roots that form the core introductory physics vocabulary are identified. They number slightly over 260. Words with other origins and common suffixes are also listed. Definitions are also given for a group of words that have caused difficulties for students in physics classes, contrasting meanings that are, and are not related to physics. A reverse dictionary of roots, showing the individual origin of about 400 words in all areas of introductory physics is presented in an appendix. The information presented here can inform and assist in developing a physics lexicon in minority and indigenous languages and to create classroom moments that connect the origin of words with everyday life.
Physics language and language use in physics—What do we know and how AI might enhance language-related research and instruction
Authors: Wulff Peter 
Published: November 2023

Abstract
Language is an important resource for physicists and learners of physics to construe physical phenomena and processes, and communicate ideas. Moreover, any physics-related instructional setting is inherently language-bound, and physics literacy is fundamentally related to comprehending and producing both physics-specific and general language. Consequently, characterizing physics language and understanding language use in physics are important goals for research on physics learning and instructional design. Qualitative physics education research offers a variety of insights into the characteristics of language and language use in physics such as the differences between everyday language and scientific language, or metaphors used to convey concepts. However, qualitative language analysis fails to capture distributional (i.e. quantitative) aspects of language use and is resource-intensive to apply in practice. Integrating quantitative and qualitative language analysis in physics education research might be enhanced by recently advanced artificial intelligence-based technologies such as large language models, as these models were found to be capable to systematically process and analyse language data. Large language models offer new potentials in some language-related tasks in physics education research and instruction, yet they are constrained in various ways. In this scoping review, we seek to demonstrate the multifaceted nature of language and language use in physics and answer the question what potentials and limitations artificial intelligence-based methods such as large language models can have in physics education research and instruction on language and language use.
A lightweight GAN-based fault diagnosis method based on knowledge distillation and deep transfer learning
Authors: Zhong Hongyu , Yu Samson , Trinh Hieu , Yuan Rui , Lv Yong , Wang Yanan 
Published: November 2023

Abstract
Generative adversarial networks (GANs) have shown promise in the field of small sample fault diagnosis. However, it is worth noting that generating synthetic data using GANs is time-consuming, and synthetic data cannot fully replace real data. To expedite the GAN-based fault diagnostics process, this paper proposes a hybrid lightweight method for compressing GAN parameters. First, three modules are constructed: a teacher generator, a teacher discriminator, and a student generator, based on the knowledge distillation GAN (KD-GAN) approach. The distillation operation is applied to both teacher generator and student generator, while adversarial training is conducted for the teacher generator and the teacher discriminator. Furthermore, a joint loss function is proposed to update the parameters of the student generator by combining distillation loss and adversarial loss. Additionally, the proposed KD-GAN method is combined with deep transfer learning (DTL) and leverages real data to enhance the diagnostic model’s performance. Two numerical experiments are performed to demonstrate that the proposed KD-GAN-DTL method outperforms other GAN-based fault diagnosis methods in terms of computational time and diagnostic accuracy.
Application of pressure-sensitive paint for explosive blast measurements
Authors: Quinn Mark K , Nunn Elliott , Adams John , Tanner Mike , Goulding Steve , Cardy Alex , Garrard Michael , Stokes Neil , Roberts David A , Jewson Terry 
Published: November 2023

Abstract
This study demonstrates the application of fast response pressure-sensitive paint (PSP) to explosively driven blast wave testing. A sprayable polymer ceramic fast response PSP was applied to an aluminium disc before being coated with platinum porphyrin compound as the active luminophore. The disc was then exposed to a blast wave and the response was measured using a high-speed video camera. The PSP measured the transit of the incident shock wave clearly, albeit with a slight response delay following the instantaneous change in pressure. A time domain-based method for improving temporal response, whilst considering both spatial and temporal effects, is described. This study clearly demonstrates that the spatial distribution of a blast wave on a surface may be captured by PSP technology. Integrated parameters such as impulse can correctly be characterised using this method. This technology offers an enhanced and more efficient way of characterising blast.
3D finite element simulation of scratch testing to quantify experimental failure mechanisms of a thin film
Authors: Pérez-Higareda José R , Jirón-Lazos Uriel , Montiel-González Zeuz , Mazón-Montijo Dalia A , Garay-Tapia Andrés M , Torres-Torres David 
Published: November 2023

Abstract
In this work, an exhaustive finite element (FE) simulation was developed to closely reproduce experimental parameters such as normal force, tangential force, and penetration depth along the whole scratch test. We used an 800 nm thick Ti–Al–N thin film deposited by sputtering as the reference sample to carry out scratch tests identifying the appearance of failure mechanisms at different longitudinal displacements and critical loads. The hardening models of thin film and substrate allowed us to quantify the maximum principal stresses responsible for thin film spallation, about 14.5 GPa for the tensile mode and −1.49 GPa for the compression mode. These parameters provided an improved perspective to characterize the failure mechanisms on the sample during the scratching. The present enhanced 3D FE simulation can be a crucial tool for designing film-substrate systems with more precise mechanical strength calculations.
Self-powered TENG probe for scanning surface charge distribution
Authors: Bugti Shazia , Kasi Ajab Khan , Ullah Sami , Kasi Jafar Khan 
Published: November 2023

Abstract
Triboelectric nanogenerators are remarkable devices that show great potential in harvesting energy from mechanical work and are generally used for sensing purposes. Here we report a novel method for the fabrication of ZnO microspheres and the formation of TENG based on ZnO/PDMS composite. The zinc oxide microspheres with needle decorated structure via thermal oxidation of metallic zinc was grown at 500 °C. The TENG was then fabricated using ZnO/PDMS composite with Au sputtered electrode. While PDMS is a good triboelectric material, its output power density is low. Embedding ZnO micro/nanostructures in PDMS increases the output power of PDMS-based TENG manifolds. ZnO with a high dielectric constant exhibits semiconductor properties as well as piezoelectric properties. This combines with the triboelectric properties of PDMS and gives a significant boost to the TENG performance. This composite structure is used for the fabrication of high output power density TENG using contact separation mode, where the power density of 27Wm−2 was achieved. Consequently, a novel device application to detect surface charge density through the fabricated TENG is reported and the subsequent reconstruction of surface charge topology based on the detected surface charge density on large surfaces is presented. This technique may be used for the study of surface charge morphology, electrostatics, triboelectric constants, and various other material properties for characterization and application purposes.
Characterization of a radiofrequency linear plasma device in uniform and convergent magnetic fields
Authors: Takahashi Kazunori , Teranishi Yume 
Published: November 2023

Abstract
A linear radiofrequency plasma device is constructed, where a source operating at a frequency of 13.56 MHz and a maximum power of several kW is attached to a cylindrical vacuum chamber about 1 m in length. Seven solenoids are located around the source and the chamber, providing various magnetic field configurations by changing the solenoid currents. The plasma density of the radiofrequency linear plasma device is initially characterized in uniform and convergent magnetic field configurations. A blue mode argon plasma, being inherent to the helicon or high-density discharge, is observed in the chamber downstream of the source for both configurations, while the density near the antenna is lower than that in the chamber. Furthermore, the density for the convergent magnetic field configuration is found to be larger than that for the uniform case, providing a maximum density of about

2
×

10

19

m

−
3

. Spatiotemporal measurements of the ion saturation current reveal that the density peak is formed near the rf antenna at the initial time of the discharge and the peripheral high-density region subsequently appears downstream of the antenna, implying that the rf power is efficiently coupled with the electrons downstream of the antenna once the initial plasma is created. A few ms after turning on the rf power, the density over the whole region reduces, which seems to be due to a neutral depletion.
How to build an optical filter with an atomic vapor cell
Authors: Uhland Denis , Dillmann Helena , Wang Yijun , Gerhardt Ilja 
Published: November 2023

Abstract
The nature of atomic vapors, their natural alignment with interatomic transitions, and their ease of use make them highly suited for spectrally narrow-banded optical filters. Atomic filters come in two flavors: a filter based on the absorption of light by the Doppler broadened atomic vapor, i.e. a notch filter, and a bandpass filter based on the transmission of resonant light caused by the Faraday effect. The notch filter uses the absorption of resonant photons to filter out a small spectral band around the atomic transition. The off-resonant part of the spectrum is fully transmitted. Atomic vapors based on the Faraday effect allow for suppression of the detuned spectral fraction. Transmission of light originates from the magnetically induced rotation of linear polarized light close to an atomic resonance. This filter constellation allows selective acceptance of specific light frequencies. In this manuscript, we discuss these two types of filters and elucidate the specialties of atomic line filters. We also present a practical guide on building such filter setups from scratch and discuss an approach to achieve an almost perfect atomic spectrum backed by theoretical calculations.
Fermi-normal coordinates for the Newtonian approximation of gravity
Authors: Gutiérrez-Piñeres Antonio C 
Published: November 2023

Abstract
In this work, we compute the metric corresponding to a static and spherically symmetric mass distribution in the general relativistic weak field approximation to quadratic order in Fermi-normal coordinates surrounding a radial geodesic. To construct a geodesic and a convenient tetrad transported along it, we first introduce a general metric, use the Cartan formalism of differential forms, and then specialize the space-time by considering the nearly Newtonian metric. This procedure simplifies the calculations significantly, and the expression for the radial geodesic admits a simple form. We conclude that in quadratic order, the effects of a Schwarzschild gravitational field measured locally by a freely falling observer equals the measured by an observer in similar conditions in the presence of a Newtonian approximation of gravitation.
Hardy-Bell inequalities and fault-tolerant Hardy paradoxes
Authors: Han Kanyuan , Zhu Wenqian , Guo Zhihua , Cao Huaixin 
Published: November 2023

Abstract
Usually, the verification of Bell nonlocality involves two main approaches: violation of specific inequalities and utilization of no-inequality methods. In this paper, we continue to develop the inequality methods by deducing the so-called ‘Hardy-Bell inequalities (HBIs)’ and ‘fault-tolerant Hardy paradoxes (FTHPs)’ for correlation tensors (CTs) with two inputs and general outcomes. We prove that the HBIs are necessary conditions for a CT to be Bell local and one of the FTHPs is sufficient condition for a CT to be Bell nonlocal. We demonstrate the effectiveness of HBIs in determining the nonlocality of CTs or quantum states when the classical Hardy paradox does not appear or a Bell inequality is not violated. Consequently, our methods can be utilized to explore more correlations having Bell nonlocality. Based on the obtained results, we find a neighborhood of a Hardy nonlocal state, in which all states are all Bell nonlocal.