bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the construction of translation cultures*
Authors: Prunč Erich , Blum Hanna , Schögler Rafael Y. 
Published: September 2024

Abstract
The paper by Erich Prunč introduces and develops the concept of translationskultur, a concept
that captures cultural and social aspects of translation. Expanding beyond the narrow traditional views of equivalence and text
oriented approaches that were dominant in translation studies when Prunč developed the concept, Prunč presents translation as a
critical practice not only in mediating between languages but also as an essential act of transcultural communication.
The concept of translationskultur is theorized as a self-referential, self-regulating subsystem
of culture, characterized by a set of socially established norms and behaviors shared by individuals involved in translation.
Prunč emphasizes the complexity of translation cultures, which arise from the delicate compromises among all stakeholders engaged
in or affected by the translation process, including translators, authors, and recipients. Translation cultures are shaped by
power dynamics within the field, and factors like societal status and resource allocation contribute to the establishment of
hierarchies relevant for translation practices.
By introducing this concept, Prunč moreover aims to encourage a conscientious reflection on the roles and
responsibilities of translators and interpreters, their loyalties towards themselves, and advocates for more confident and
self-critical agents acting towards ideals of a prototypical democratic translation culture. The paper concludes with the vision
of translators and interpreters who are aware of their significant role in shaping discourses and who exercise their power with a
sense of professional pride and ethical diligence.
Real-time particle visualization in an electric-cooled cloud chamber using machine learning
Authors: Fujiwara Takeshi , Kimura Hiromi , Shimodan Chihiro , Futagi Sawako 
Published: September 2024

Abstract
This paper presents the development and implementation of an electric-cooled cloud chamber designed to visualize alpha and beta particle tracks. Traditional cloud chambers rely on dry ice for cooling, which can be cumbersome and impractical for extended use. Our approach employs a Peltier device coupled with a commercial CPU cooler, providing a stable, large field of view, and long-lasting cooling environment. Additionally, we have integrated a real-time visualization system utilizing OpenCV and machine learning with TensorFlow. This system accurately identifies and labels particle tracks, enhancing the educational experience. The cloud chamber operates seamlessly with consumer laptops, such as the MacBook Air with an M1 chip, making it accessible and convenient for educational purposes. Initial qualitative results demonstrate the system’s effectiveness. Future work will focus on refining detection accuracy and exploring additional applications. This advancement not only improves the usability of cloud chambers but also offers new possibilities for interactive scientific education.
Phonons in stringlet-land and the boson peak
Authors: Jiang Cunyuan , Baggioli Matteo 
Published: September 2024

Abstract
Solid materials that deviate from the harmonic crystal paradigm exhibit characteristic anomalies in the specific heat and vibrational density of states (VDOS) with respect to Debye’s theory predictions. The boson peak (BP), a low-frequency excess in the VDOS over Debye law

g
(
ω
)
∝

ω
2

, is certainly the most famous among them; nevertheless, its origin is still subject of fierce debate. Recent simulation works provided strong evidence that localized one-dimensional string-like excitations (stringlets) might be the microscopic origin of the BP. In this work, we study the dynamics of acoustic phonons interacting with a bath of vibrating 1D stringlets with exponentially distributed size, as observed in simulations. We show that stringlets strongly renormalize the phonon propagator and naturally induce a BP anomaly in the VDOS, corresponding to the emergence of a dispersionless BP flat mode. Additionally, phonon-stringlet interactions produce a strong enhancement of sound attenuation and a dip in the speed of sound near the BP frequency, consistent with experimental and simulation data. The qualitative trends of the BP frequency and intensity are predicted within the model and shown to be in good agreement with previous observations. In summary, our results substantiate with a simple theoretical model the recent simulation results by Hu and Tanaka claiming the origin of the BP from stringlet dynamics.
In-motion fine alignment algorithm for AUV based on improved extended state observer and Kalman filter
Authors: Ma Cheng , Zhou Shiyin , Wang Zihao , Zhang Haosu , Xu Lingji , Miao Jianming 
Published: September 2024

Abstract
Achieving fast initial alignment has always been a major challenge for autonomous underwater vehicle navigation, especially in motion. During the fine alignment process, traditional algorithms often face the slow convergence of the azimuth misalignment angle. To solve this problem, this paper proposes a fast alignment algorithm based on the improved extended state observer (ESO) and Kalman filter. Specifically, since the application potential of ESO in fine alignment has not been fully explored by previous studies, this paper introduces the improved ESO through the in-depth research of traditional ESO. The obtained improved ESO is then combined with Kalman filter to constitute the proposed fast alignment algorithm. The algorithm first uses Kalman filter to estimate the two horizontal misalignment angles. Once the horizontal angles estimation of Kalman filter tends to be stable, the improved ESO is used to estimate the azimuth misalignment angle. Simulation and lake test show the proposed algorithm has excellent performance of in-motion alignment. The comparative analysis shows that the algorithm significantly improves the convergence speed of azimuth alignment angle.
Dual-channel photonic crystal fiber dual-parameter sensor exploiting surface plasmon resonance
Authors: Xu Tengfei , Pu Shengli , Huang Siyang , Ji Yu 
Published: September 2024

Abstract
A surface plasmon resonance (SPR) based sensor using a negative curvature circular side-polished photonic crystal fiber was proposed. The sensor’s sensitivity was analyzed using the finite element method. The impact of structural parameters was investigated. The sensor exhibits an average wavelength sensitivity (WS) of 7846 nm/RIU in the refractive index range of 1.370–1.396 and 2350 nm/RIU in the range of 1.330–1.370, with maximum WS of 46000 nm/RIU. For refractive index and magnetic field dual-parameter sensing, the simultaneously obtained magnetic field sensitivity is 0.84 nm/mT. The proposed SPR sensor demonstrates remarkable sensitivity, making it suitable for refractive index and magnetic field sensing applications.
Optimizing 20 Gbps of ground-to-satellite free-space optical communication in low earth orbit with hybrid wavelength-mode division multiplexing
Authors: Marlina Lina , Afifah Shofuro , Liaw Shien-Kuei , Lee Pei-Jun , Kishikawa Hiroki 
Published: September 2024

Abstract
High-speed free-space optical (FSO) communication has emerged as a promising technology for low earth orbit (LEO) region in the last decade. In this paper, we simulate 20 Gbps simplex ground-to-satellite with various wavelengths and transmitter beam pointing error of 0.1 to 2.5 urad. The C-band wavelength is chosen, and a non-return-zero (NRZ) pulse generator with 16 channels hybrid wavelength-mode division multiplexing (WDM-MDM) technique employing Hermite-Gaussian (HG) modes is used to vary the pointing error. The effect of beam pointing error and receiver aperture diameter was discussed in this paper. A transmitter beam pointing error of 2.5 urad can work appropriately at distances of 1000 km and 1500 km, with a BER value of 1.41 × 10−6 and 3.56 × 10−5, respectively. Based on the receiver aperture diameter of 100 cm, it successfully achieves a BER value of 2.4 × 10−8 at the LEO region and a clear eye diagram.
Nonlinear waves for a variable-coefficient modified Kadomtsev–Petviashvili system in plasma physics and electrodynamics
Authors: Wei Guang-Mei , Song Yu-Xin , Xing Tian-Chi , Miao Shu 
Published: September 2024

Abstract
In this paper, a variable-coefficient modified Kadomtsev–Petviashvili (vcmKP) system is investigated by modeling the propagation of electromagnetic waves in an isotropic charge-free infinite ferromagnetic thin film and nonlinear waves in plasma physics and electrodynamics. Painlevé analysis is given out, and an auto-Bäcklund transformation is constructed via the truncated Painlevé expansion. Based on the auto-Bäcklund transformation, analytic solutions are given, including the solitonic, periodic and rational solutions. Using the Lie symmetry approach, infinitesimal generators and symmetry groups are presented. With the Lagrangian, the vcmKP equation is shown to be nonlinearly self-adjoint. Moreover, conservation laws for the vcmKP equation are derived by means of a general conservation theorem. Besides, the physical characteristics of the influences of the coefficient parameters on the solutions are discussed graphically. Those solutions have comprehensive implications for the propagation of solitary waves in nonuniform backgrounds.
Unveiling Structure-Enhanced Positional Embedding Module in Transformer-Based 3D Human Pose Estimation
Authors: Yi Ming , Zhao Xi 
Published: September 2024

Abstract
With the advancement of computational capabilities, the realm of deep learning has expanded from 2D image tasks to encompass 3D video tasks. Human action recognition stands as a typical 3D video task, which emphasizes the accurately capture of local body structures. However, existing methods encounter limitations in precisely capturing these structures, especially in joints within the same body region that exhibits diverse static and dynamic features. To address this complexity, our study innovatively introduces a Structure-Enhanced Positional Embedding Module seamlessly integrated into the PoseFormer model, resulting in the innovative HStruPE-Former model. Experimental validation on the Human3.6M dataset demonstrates a significant performance improvement achieved by the HStruPE-Former model in the task of 3D human pose estimation. Particularly in scenarios involving intricate movements and postures, the module demonstrates improved stability and accuracy. Although the improvements are modest, this technology is expected to facilitate the exploration of untapped potential of structure-enhanced postion embedding modules in diverse neural network applications, thereby promoting further exploration in neural network research. This research outcome not only enhances the performance in current 3D video tasks but also paves the way for novel research directions in the field of deep learning.
Research on the Application of Deep Learning in Human Spinal Image Segmentation
Authors: Feng Zhao , Min Qi , Hua Xu 
Published: September 2024

Abstract
Traditional segmentation methods can only segment grayscale images, which limits their application; The segmentation process often depends on the doctor’s experience, which can lead to subjective factors affecting the results; Therefore, the accuracy and efficiency of segmentation are difficult to achieve practical application results. The deep learning model is a structural model that mimics the neural connections within the human brain. The deep learning model can accurately extract multi-level features of key information in images from low-level to high-level, and provide feedback on data interpretation, thereby achieving accurate and efficient image segmentation results. Introducing deep learning algorithms into medical image segmentation can accurately express the key information at a deeper level in spinal images, achieving better image segmentation results.
Research on failure simulation of the feeding system considering transmission gear wear
Authors: Huiyong Deng , Haitao Sun , Kaibo Cui , Yulong Zhao , Fei Yin 
Published: September 2024

Abstract
The feeding process of the feeding system in the power transmission chain was a high-speed, high impact, non-stationary process, and easy to detect functional faults, aimed at the problem, based on nonlinear multi-body dynamics and Dubowsky contact modeling theory, a gear transmission modeling method including backlash was proposed. A dynamic simulation model of the feeding system injected with gear wear fault was established, and the system dynamic performance under different wear levels was analyzed. The research results show that due to the wear of the gear teeth, the contact force between the teeth increased by about 70%. When the wear of a single tooth pair increased to 0.2mm, there would be jamming faults caused by delayed chain throwing. The research results provided support for the optimization and improvement of the feeding system.
Modeling and Simulation of UAV Task Assignment and Execution in Designated Area Based on Order Strike Theory
Authors: Mingxuan Li , Yanru Cui , Yifan Zhu , Weiping Wang , Xiaobo Li , Xinfeng Wang 
Published: September 2024

Abstract
Since 2023, local conflicts have intensified and local wars have occurred frequently. The term “order strike” has appeared on the battlefield many times and is one of the hot spots in the study of modern warfare. Order strike has the characteristics of small scale, fast response, low cost, etc. It is a distributed combat mode proposed by the US military on the basis of theories of “Kill Chain” and “Mosaic Warfare”, etc. This paper takes the UAV penetration and strike against large targets as research case, and builds a new type of UAV penetration and strike combat platform based on the theory of “order strike”, combined with the technologies of “ StarLink “ satellite network reconnaissance and intelligent UAV control. This combat platform can continuously monitor the designated area and effectively strike the hostile targets invading the area. Finally, we conducted a preliminary simulation and initial effectiveness evaluation of the method proposed in this paper through multi-agent simulation.
Modification of Nanyang crude oil by a functional magnetically responsive flow modifier in synergy with magnetic field
Authors: Yan Feng , Li Jionghao , Li Qifu , Wang Yunchen , Nie Chaofei , Xiao Fan , San Bohong 
Published: September 2024

Abstract
Nanyang crude oil is classified as high wax crude oil. It has severe wax deposition and poor low-temperature fluidity, which pose a major risk to the safety of pipeline transportation of wax-containing crude oil. A large-size polymer-coated magnetic nanosphere was created by dispersion polymerization employing methyl methacrylate, nano-iron oxide, tetraethoxysilane, and dodecyltriethoxysilane as raw materials to address the aforementioned issues.Ethylene-vinyl acetate copolymer was compounded to provide a useful magnetic response flow modifier.Using FTIR and ESEM, the polymer grafted on the iron oxide nanosphere’s surface was shown. After evaluating the functional magnetic response flow modifier’s impact on the yield stress and viscosity of a Nanyang crude oil, the effect of the magnetic field was introduced to analyze the functional magnetic response flow modifier’s synergistic effect on viscosity and yield stress. The results show that the functional magnetic response flow modifier may greatly lower yield stress and viscosity when compared to the EVA pour point depressant. Additionally, applying an alternating magnetic field could amplify the functional magnetic response flow modifier’s beneficial effects on Nanyang crude oil.
Corrosion of 316 SS in chloride molten salt for thermal energy storage: Inhibitory effects of Al powder
Authors: Li Tianjiao , Zhu Ming , Deng Peng , Chen Anqi , Yan Haitong , Yi Han 
Published: September 2024

Abstract
MgCl2-KCl-NaCl is regarded as one of the most prospective high-temperature thermal energy storage mediums and heat transfer fluids (HTF) for 3rd generation concentrated solar power (CSP) systems. However, high corrosion to alloys limits its application. In this paper, corrosion tests were conducted on 316 SS, in MgCl2-KCl-NaCl at 800°C with different content (0 wt.%,1 wt.%, and 10 wt.%) of Al powder addition as a corrosion inhibitor. The impact of Al powder was assessed through electrochemical methods, specifically impedance spectroscopy (EIS) and potentiodynamic polarization (PDP). Following corrosion tests, the morphologies and phase compositions of 316 SS were determined by using scanning electron microscopy with energy dispersive spectroscopy (SEM/EDS) and X-ray diffraction (XRD). The addition of Al powder can significantly reduce the corrosion current density of 316 SS in MgCl2-KCl-NaCl at 800°C, which was 183.29 times higher than that with 10 wt.% without Al addition. Al and the degree increased with increasing content of Al. With the addition of 1 wt.% Al, the thickness of the diffusion layer is significantly reduced, which was 54.6 μm (100 h), 275.1 μm (200 h), 370.4 μm (300 h), and 500 μm (400 h), respectively. When the addition of Al reaches up to 10 wt.%, the inwards diffusion of Al caused the formation of Al enriched layer, which was identified as the FeAl phase, on the surface of 316 SS during the high-temperature corrosion processes. The thickness of the Al enriched layer was associated with the diffusion time of Al, and its depth was 40.4 μm (100 h), 45.3 μm (200 h), 103.5 μm (300 h), and 139.5 μm (400 h).
Effects of several typical plastic combustion residues on gasoline
Authors: Yu Lili , Dazhi E , Liu Shujun 
Published: September 2024

Abstract
In order to solve the interference caused by polymer materials on gasoline accelerants in arson cases, the characteristics of residues after combustion of some typical plastics are studied. Comparing it to the combustion residue of gasoline, we discussed the interference in gasoline detection. The results show that the combustion products of these plastics mainly interfere with the alkanes and aromatic hydrocarbons in gasoline. Polyethylene, polystyrene, and polyvinyl chloride mainly produce C9-C16 branched-chain and straight-chain alkanes. Polystyrene and ABS resin generated C5 and C6 alkanes, also generated C1-benzene, C2 - benzene, and styrene. It mainly affects the identification of aromatic hydrocarbons in gasoline combustion residues. Understanding the types and characteristics of products in the combustion residues of these plastics can provide powerful evidence for fire investigators and criminal technicians in physical evidence identification.
Comparison of thermo-catalytic and photo-assisted thermo-catalytic conversion of glucose to HMF with Cr-MOFs@ZrO2
Authors: Chang Kanglu , Tao Xumei 
Published: September 2024

Abstract
Thermo-catalytic and photo-assisted thermo-catalytic are two effective pathways for conversion of glucose. Thermo-catalytic and photo-assisted thermo-catalytic conversion of glucose was studied with Cr-MOFs@ZrO2 as catalysts in nitrogen atmosphere at 150 °C. Cr-MOFs@ZrO2 possesses simultaneously Lewis acid sites as well as Brønsted acid sites, and also has strong Brønsted acidity, so it can exhibit good thermos-catalytic performanc. When the glucose was 3 g/L, the reaction was carried out at 150 °C for 2 h with DMF as solvent, the glucose conversion was 97.9% while the HMF yield was 38%. The yield of HMF can be increased to 51.1% by adding 500w xenon lamp irradiation on the basis of thermal catalytic reaction condition. A comparison of the two reactions revealed that light-assisted thermal catalysis was more favorable for the reaction.
Imine-based nickel/cobalt covalent organic framework with high rate and stability for supercapacitor
Authors: Wang Guanwen , Chi Chunlei , Liu Zheng , Fan Zhuangjun 
Published: September 2024

Abstract
Due to their regular pore structure, long-range order, and structural stability, COFs (Covalent Organic Frameworks) have gradually been employed as electrode materials for supercapacitors. However, owing to their two-dimensional stacking structure, poor conductivity, and the lack of effective redox-active sites, they usually exhibit inferior rate performance and cycling stability. Therefore, we design an imine-based Ni0.7Co0.3-COF anchored with Ni/Co redox centres at the atomic level and adjust their proportion. This approach optimizes the electronic structure and enhances the electronic conductivity and redox activity of Ni0.7Co0.3-COF. Ni0.7Co0.3-COF are grown through thin-layered cross-linking, significantly shortening both the ion and electron transport pathways. This improves the contact area between electrolyte ions and electrode materials and enhances the utilization of redox centres, thereby substantially improving the rate performance (1300 F g−1 at 50 A g−1) and cycling stability (72% retention after 5000 cycles) of Ni0.7Co0.3-COF.
High proportion of new energy power system frequency and voltage support and regulation technology based on doubly fed induction generator
Authors: Zhang Jian , Li Wenfeng , Geng Zhichen , Guo Changhao 
Published: September 2024

Abstract
With the increasing proportion of new energy in power systems, issues regarding system voltage, inertia, and primary frequency regulation have become increasingly severe. In response to control and grid safety issues, a high proportion of new energy power system frequency and voltage support and regulation technology based on a doubly fed induction generator (DFIG) is proposed. The voltage-magnetic link equation of DFIG is theoretically derived, and the control principles of active and reactive power of DFIG are proposed. The support and regulation characteristics of improving the voltage of new energy substations are studied. Verification is conducted through large-scale grid simulation and on-site measurements.
Comparative analysis of radiant air-conditioning systems combined with two different types of solar-powered dehumidification methods
Authors: Li Gang , Liao Yixuan , Dou Yubo , Sun Jiaqi , Nan Jia , Chen Jinlong 
Published: September 2024

Abstract
This paper proposes a solar liquid desiccant radiation air-conditioning system(SLDRS) and a solar desiccant wheel radiant air-conditioning system(SDWRS) that combine with a phase change energy storage radiation terminal, solar energy, and heat pump system. The models of the two systems are simulated with the transient system tool (TRNSYS) to compare the refrigeration and dehumidification effects and energy saving of the two systems. The results show that the total refrigeration capacity of the SLDRS is reduced by 20.45% compared with the solar desiccant wheel radiation air-conditioning system, the monthly average dehumidification capacity is increased by 37.09%, and the total energy consumption is reduced by 712.9 KW·h. It is evident that the cooling and dehumidifying effect and energy efficiency of the SLDRS are superior to those of the SDWRS.