bluuebunny/crossref_metadata_2025_split huggingface dataset:
江西吉水方言強調即時性的「來」及相關問題
Authors: Li Guilan 
Published: July 2024

抽象的
文章基於吉水方言「來」的功能和句法分佈，結合周邊方言中兩種功能類型的「來」，討論吉水等方言中與即行體相關的強調標記的特點、性質和來源及其類型學意義等問題。強調即時性的「來」在吉水方言中強制與句末即行體助詞共現，可置於謂語VP或句末助詞「來哩」前，但在周邊方言中有諸多句法功能變異。文章在描寫和比較方言現象的基礎上，主張語用標記「來」源於表示意願的連謂結構「來VP」的語法化和重新分析，強調即時性的「來」與完成體助詞同現甚至自主表達即行體範疇，是功能擴展的結果，與普通話中的「了」和世界語言中相同來源的即行體有區別，具有一定的語言類型學意義。
[Japanese] toilets are not garbage cans
Authors: Spencer Keolakawai K.G. 
Published: July 2024

Abstract
Traditional linguistic landscape research focuses on the diversity, vitality, and structure of languages in public
spaces. However, this study takes a critical lens and examines how certain multilingual signage reflects the normalised, harmful
ideologies which target minorities in Japan. The study reveals examples of punitive multilingualism, highlighting the information
disparities between languages in public signage found in Aichi, Hokkaido, and on the Internet. The paper discusses instances of
discriminatory public signage, including online advertisements, based on the premise that foreigners are unruly, and official
government signage that appears to target foreigners. The study also delves into problematic instructions posted in public
restrooms, showing how the presentation of language(s) can reinforce stereotypes and implicit bias. Through a critical analysis of
multilingual signage, this study reveals the challenges and consequences of punitive multilingualism in the context of Japanese
sociolinguistics.
Dissociative recombination of NS+ in collision with slow electrons
Authors: Hassaine R , Gauchet F , Iacob F , Mezei J Zs , Roueff E , Tennyson J , Schneider I F 
Published: July 2024

Abstract
Cross sections and rate coefficients for the dissociative recombination (DR) of the NS+ ion induced by collisions with low-energy electrons are reported for temperatures between 10 and 1000 K, relevant to a large range of interstellar cloud temperatures. Uncertainties are discussed for these rates. Comparisons are made with DR rates for the isovalent NO+ molecular ion which are found to be much faster. The present findings lead to a moderate dissociative reaction rate coefficient, smaller by a factor of 2 than the current estimates reported in the different kinetic databases for a temperature of 10 K. We consider that our rate coefficients obtained through multichannel quantum defect theory for NS+ are likely to be better than those displayed in the different kinetic databases.
Both the ionic and covalent bonds stabilize the W@Si12 cluster
Authors: Yin Yue-Hong , Dai Xu-Cun , Zhang Yan 
Published: July 2024

Abstract
Si is an important semiconductor material in the development of modern industry. With the miniaturization trend of semiconductor devices, the size of Si has reached the cluster size. The search for stable Si clusters is an important issue. In this work, the electronic structures and stability mechanism of the W@Si12 cluster are calculated by the first-principle calculations. Different from a C2v hexacapped trigonal prism structure of Si12, the W@Si12 cluster presents an embedded hexagonal prism structure with D6h symmetry. The addition of W atom leads to a higher stability. The molecular orbitals show obvious superatomic characteristics for the W@Si12 cluster, and their energy levels are more degenerate than that of the Si12 cluster. The population analysis indicates that a total charge of 2.21e is transferred from Si atoms to the center W atom, which suggests an ionic bond for W-Si. The electron localization function further proves a covalent bond for Si–Si. The enhanced stability of the W@Si12 cluster is attributed to the combination of the ionic and covalent bonds.
Theory of spin and orbital Edelstein effects
Authors: Johansson Annika 
Published: July 2024

Abstract
In systems with broken spatial inversion symmetry, such as surfaces, interfaces, or bulk systems lacking an inversion center, the application of a charge current can generate finite spin and orbital densities associated with a nonequilibrium magnetization, which is known as spin and orbital Edelstein effect (SEE and OEE), respectively. Early reports on this current-induced magnetization focus on two-dimensional Rashba systems, in which an in-plane nonequilibrium spin density is generated perpendicular to the applied charge current. However, until today, a large variety of materials have been theoretically predicted and experimentally demonstrated to exhibit a sizeable Edelstein effect, which comprises contributions from the spin as well as the orbital degrees of freedom, and whose associated magnetization may be out of plane, nonorthogonal, and even parallel to the applied charge current, depending on the system’s particular symmetries. In this review, we give an overview on the most commonly used theoretical approaches for the discussion and prediction of the SEE and OEE. Further, we introduce a selection of the most intensely discussed materials exhibiting a finite Edelstein effect, and give a brief summary of common experimental techniques.
High-

T

c

superconductivity in doped molecular superconductors of

K
4

B

8
−
x

M
x

H

32

(M = C, N) under high pressure
Authors: Sun Weiguo , Li Simin , Li Xiaofeng , Ouyang Tong , Liu Kainan , Mu Dexin , Lu Cheng , Peng Feng 
Published: July 2024

Abstract
Stabilized and metallic light elements hydrides have provided a potential route to achieve the goal of room-temperature superconductors at moderate or ambient pressures. Here, we have performed systematic DFT theoretical calculations to examine the effects of different light elements C and N atoms doped in cubic K4B8H32 hydrides on the superconductivity at low pressures. As a result of various atoms substituting, we have found that metallic K4B

_{8-x}

M
x
H32 (M = C, N) hydrides are dynamically stable at 50 GPa, band structures and density of states (DOS) indicate that sizeable

T

c

correlates with a high B–H DOS at the Fermi level. With the increasing of B atoms in K4B

_{8-x}

M
x
H32 hydrides, the DOS values at Fermi level have been improved due to the delocalized electrons in B–H bonds, which result in strong electron–phonon coupling (EPC) interaction and increase the

T

c

from 19.04 to 77.07 K for KC2H8 and KB2H8 at 50 GPa. The NH4 unit in stable K4B7NH32 hydrides has weakened the EPC and led to low

T

c

value of 21.47 K. Our results suggest the light elements hydrides KB2H8 and K4B7CH32 could estimate high

T

c

values at 50 GPa, and the boron hydrides would be potential candidates to design or modulate hydrides superconductors with high

T

c

at moderate or ambient pressures.
ODCS-YOLO detection algorithm for rail surface defects based on omni-dimensional dynamic convolution and context augmentation module
Authors: Gao Wenqi , Gu Wenjuan , Yin Yanchao , Li Tiangui , Dong Penglin 
Published: July 2024

Abstract
To solve the problems of easy miss and false detection on rail surface defects caused by small size, dense target, and high similarity between features and background, this paper proposed an improved detection algorithm in complex background. First, the conventional convolution of YOLOv5 backbone network is replaced with omni-dimensional dynamic convolution (ODConv), which improves the feature extraction capability of the network without increasing the computational cost; second, to improve the model’s performance in detecting tiny objects, a two-layer context augmentation module (CAM) is introduced into the path aggregation network (PAN) structure; finally, the traditional non-maximum suppression (NMS) algorithm is replaced by the Soft-NMS algorithm in the network post-processing to reduce the false-alarm and miss-rate. The experimental results on the Railway Track Fault Detection public dataset show that the OD-YOLO (OD stands for ODConv) and C-PAN (CAM module is introduced into PAN) structures could achieve better performance in the same type of improved algorithms; compared with the baseline algorithm YOLOv5, the ODCS-YOLO (OD stands for ODConv, C stands for CAM and S stands for Soft-NMS) algorithm improves the precision by 12.4%, the recall by 3.6%, the map50 by 8.6% and the GFLOPs is reduced by 0.6. Compared with seven classical object detection algorithms, the ODCS-YOLO algorithm achieves the highest detection accuracy, which makes it able to meet the real-time detection requirements of rail surface defects in real working conditions. The ODCS-YOLO model provides certain technical support for the defects detection and a new method for the detection of dense small objects.
Handheld structured light system for panoramic 3D measurement in mesoscale
Authors: Su Wenqing , Tan Ji , He Zhaoshui , Lin Zhijie , Liu Chang 
Published: July 2024

Abstract
The measurement of complete 3D topography in mesoscale plays a vital role in high-precision reverse engineering, oral medical modeling, circuit detection, etc. Traditional structured light systems are limited to measuring 3D shapes from a single perspective. Achieving high-quality mesoscopic panoramic 3D measurement remains challenging, especially in complex measured scenarios such as dynamic measurement, scattering mediums, and high reflectance. To overcome these problems, we develop a handheld mesoscopic panoramic 3D measurement system for such complex scenes together with the fast point-cloud-registration and accurate 3D-reconstruction, where a motion discrimination mechanism is designed to ensure that the captured fringe is in a quasi-stationary case by avoiding the motion errors caused during fringe scanning; a deep neural network is utilized to suppress the fringe degradation caused by scattering mediums, resulting in a significant improvement in the quality of the 3D point cloud; a strategy based on phase averaging is additionally proposed to simultaneously correct the saturation-induced errors and gamma nonlinear errors. Finally, the proposed system incorporates a multi-threaded data processing framework to verify the proposed method, and the corresponding experiments verify its feasibility.
OMS-SLAM: dynamic scene visual SLAM based on object detection with multiple geometric feature constraints and statistical threshold segmentation
Authors: Tang Jialiang , Feng Zhengyong , Liao Peng , Chen Liheng , Xiao Xiaomei 
Published: July 2024

Abstract
Simultaneous localization and mapping (SLAM) technology is crucial to robot navigation. Despite the good performance of traditional SLAM algorithms in static environments, dynamic objects typically exist in realistic operating environments. These objects can lead to misassociated features, which in turn considerably impact the system’s localization accuracy and robustness. To better address this challenge, we have proposed the OMS-SLAM. In OMS-SLAM, we adopted the YOLOv8 target detection network to extract object information from environment and designed a dynamic probability propagation model that is coupled with target detection and multiple geometric constrains to determine the dynamic objects in the environment. For the identified dynamic objects, we have designed a foreground image segmentation algorithm based on depth image histogram statistics to extract the object contours and eliminate the feature points within these contours. We then use the grid-based motion statistics matching pair as the filtering strategy to enhance the quality of the feature points and use the enhanced feature points for tracking. This combined method can accurately identify dynamic objects and extract related feature points, significantly reducing its interference and consequently enhancing the system’s robustness and localization accuracy. We also built static dense point cloud maps to support advanced tasks of robots. Finally, through testing on the high-speed dataset of TUM RGB-D, it was found that the root mean square error of the absolute trajectory error in this study decreased by an average of 97.10%, compared to ORB-SLAM2. Moreover, tests in real-world scenarios also confirmed the effectiveness of the OMS-SLAM algorithm in dynamic environments.
Indoor unknown radio transmitter localization using improved RSSD and grey correlation degree
Authors: Zhang Liyang , Xu Chenyu , Gao Rui , Liang Yin , Zhang Lidong , Guo Lixia 
Published: July 2024

Abstract
Accurate location of unknown radio transmitter (URT) is the key to secure wireless communication. Since the fingerprint positioning methods based on received signal strength difference (RSSD) can adapt to the diversity of transmitting power and frequency, RSSD has become a popular scheme for locating the URT. However, the RSSD is obtained by subtracting the RSS from two different access points (APs), so the interference of noise on the RSS is inherited and amplified by the RSSD. Besides, the need for more APs to ensure positioning accuracy leads to an increase in hardware costs. In this paper, a RSSD-based fuzzy weight grey correlation degree positioning algorithm, called FUZZY-GREY, is proposed to reduce the interference of noise, save AP hardware cost and improve the positioning accuracy. Firstly, online RSSD vector is improved by using fuzzy weight to reduce the noise interference. Secondly, the RSSD-based grey correlation coefficient is designed to calculate the correlation degree of the corresponding RSSD and ensure data integrity. Finally, a RSSD-based grey correlation degree scheme combining with fuzzy weight is proposed to select optimal reference points (RPs). Simulation and experimental results show that the proposed algorithm has better positioning performance than weighted k-nearest neighbor, maximum correlation coefficient estimation, Naive Bayes and support vector machine in the case of different selected

K

numbers, grid distances, noise levels and AP numbers.
Mapping and spectroscopy of telecom quantum emitters with confocal laser scanning microscopy
Authors: Descamps Thomas , Bampis Alexandros , Huet Maximilien , Hammar Mattias , Zwiller Val 
Published: July 2024

Abstract
Efficiently coupling single-photon emitters in the telecommunication C-band that are not deterministically positioned to photonic structures requires both spatial and spectral mapping. This study introduces the photoluminescence mapping of telecom C-band self-assembled quantum dots (QDs) by confocal laser scanning microscopy, a technique previously unexplored in this wavelength range which fulfills these two requirements. We consider the effects of distortions inherent to any imaging system but largely disregarded in prior works to derive accurate coordinates from photoluminescence maps. We obtain a position uncertainty below 11 nm for 10% of the QDs when assuming no distortions, highlighting the potential of the scanning approach. After distortion correction, we found that the previously determined positions are on average shifted by 428 nm from the corrected positions, demonstrating the necessity of this correction for accurate positioning. Then, through error propagation, the position uncertainty for 10% of the QDs increases to 110 nm.
3D imaging photocatalytically degraded micro- and nanoplastics
Authors: Cholewinski Aleksander , Wortman Joseph , Hayashida Misa , Anderson William A , Zhao Boxin 
Published: July 2024

Abstract
Microplastics (MPs) and nanoplastics have been an emerging global concern, with hazardous effects on plant, animal, and human health. Their small size makes it easier for them to spread to various ecosystems and enter the food chain; they are already widely found in aqueous environments and within aquatic life, and have even been found within humans. Much research has gone into understanding micro-/nanoplastic sources and environmental fate, but less work has been done to understand their degradation. Photocatalytic degradation is a promising green technique that uses visible or ultraviolet light in combination with photocatalyst to degrade plastic particles. While complete degradation, reducing plastics to small molecules, is often the goal, partial degradation is more common. We examined microscale polyethylene (PE) (125–150 µm in diameter) and nanoscale polystyrene (PS) (∼300 nm in diameter) spheres both before and after degradation using multiple imaging techniques, especially electron tomography in addition to conventional electron microscopy. Electron tomography is able to image the 3D exterior and interior of the nanoplastics, enabling us to observe within aggregates and inside degraded spheres, where we found potentially open interior structures after degradation. These structures may result from differences in degradation and aggregation behavior between the different plastic types, with our work finding that PE MPs typically cracked into sharp fragments, while PS nanoplastics often fragmented into smoother, more curved shapes. These and other differences, along with interior and 3D surface images, provide new details on how the structure and aggregation of PE MPs and PS nanoplastics changes when degraded, which could influence how the resulting worn particles are collected or treated further.
Precision spectroscopy of non-thermal molecular plasmas using mid-infrared optical frequency comb Fourier transform spectroscopy
Authors: Sadiek Ibrahim , Puth Alexander , Kowzan Grzegorz , Nishiyama Akiko , Klose Sarah-Johanna , Röpcke Jürgen , Lang Norbert , Masłowski Piotr , van Helden Jean-Pierre H 
Published: July 2024

Abstract
Non-thermal molecular plasmas play a crucial role in numerous industrial processes and hold significant potential for driving essential chemical transformations. Accurate information about the molecular composition of the plasmas and the distribution of populations among quantum states is essential for understanding and optimizing plasma processes. Here, we apply a mid-infrared frequency comb-based Fourier transform spectrometer to measure high-resolution spectra of plasmas containing hydrogen, nitrogen, and a carbon source in the 2800–3400 cm–1 range. The spectrally broadband and high-resolution capabilities of this technique enable quantum-state-resolved spectroscopy of multiple plasma-generated species simultaneously, including CH4, C2H2, C2H6, NH3, and HCN, providing detailed information beyond the limitations of current methods. Using a line-by-line fitting approach, we analyzed 548 resolved transitions across five vibrational bands of plasma-generated HCN. The results indicate a significant non-thermal distribution of the populations among the quantum states, with distinct temperatures observed for lower and higher rotational quantum numbers, with a temperature difference of about 62 K. Broadband state-resolved-spectroscopy via comb-based methods provides unprecedented fundamental insights into the non-thermal nature of molecular plasmas—a detailed picture that has never been accomplished before for such complex non-thermal environment.
The detachment-induced mode in electronegative capacitively coupled radio-frequency plasmas
Authors: Tian Chong-Biao , Wang Li , Vass Máté , Wang Xiao-Kun , Dong Wan , Song Yuan-Hong , Wang You-Nian , Schulze Julian 
Published: July 2024

Abstract
Insights into the spatio-temporally resolved electron power absorption dynamics in capacitively coupled radio-frequency plasmas are essential for understanding the fundamentals of their operation and as a basis for knowledge-based plasma process development. Similar to the γ-mode, an ionization maximum is observed at the sheath edge around the time of maximum sheath voltage in electronegative oxygen discharges at a pressure of 300 Pa. Based on Particle-in-Cell/Monte Carlo Collisions (PIC/MCC) simulations, we demonstrate that this maximum is not only caused by secondary electrons emitted at the electrode and collisionally multiplied inside the sheath. In fact, it also occurs in the complete absence of secondary electrons in the simulation, and is caused by the generation of

O

−

ions by electron attachment close to the electrode during the local sheath collapse. These negative ions are accelerated towards the plasma bulk by the sheath electric field during sheath expansion. By electron detachment from these negative ions, electrons are generated inside the sheath and are accelerated towards the plasma bulk by the instantaneous sheath electric field—similarly to secondary electrons. Ionization is also observed in the plasma bulk and caused by electrons generated by detachment and accelerated by the high drift-and ambipolar electric fields. This detachment-induced electron power absorption is found to have significant effects on the discharge in the presence and absence of secondary electron emission. Its fundamentals are understood based on an analysis of the spatio-temporal electron and

O

−

power absorption dynamics as well as the trajectory of selected

O

−

ions close to the electrode.
Optimal depth and a novel approach to variational unitary quantum process tomography
Authors: Galetsky Vladlen , Julià Farré Pol , Ghosh Soham , Deppe Christian , Ferrara Roberto 
Published: July 2024

AbstractIn this work, we present two new methods for variational quantum circuit (VQC) process tomography (PT) ontonqubits systems: unitary PT based on VQCs (PT_VQC) and unitary evolution-based variational quantum singular value decomposition (U-VQSVD). Compared to the state of the art, PT_VQC halves in each run the required amount of qubits for unitary PT and decreases the required state initializations from 4nto just 2n, all while ensuring high-fidelity reconstruction of the targeted unitary channelU. It is worth noting that, for a fixed reconstruction accuracy, PT_VQC achieves faster convergence per iteration step compared to quantum deep neural network and tensor network schemes. The novel U-VQSVD algorithm utilizes variational singular value decomposition to extract eigenvectors (up to a global phase) and their associated eigenvalues from an unknown unitary representing a universal channel. We assess the performance of U-VQSVD by executing an attack on a non-unitary channel quantum physical unclonable function. By using U-VQSVD we outperform an uninformed impersonation attack (using randomly generated input states) by a factor of 2 to 5, depending on the qubit dimension. For the two presented methods, we propose a new approach to calculate the complexity of the displayed VQC, based on what we denote as optimal depth.
An efficient quantum algorithm for independent component analysis
Authors: Xu Xiao-Fan , Zhuang Xi-Ning , Xue Cheng , Chen Zhao-Yun , Wu Yu-Chun , Guo Guo-Ping 
Published: July 2024

Abstract
Independent component analysis (ICA) is a fundamental data processing technique to decompose the captured signals into as independent as possible components. Computing the contrast function, which serves as a measure of the independence of signals, is vital and costs major computing resources in ICA. This paper presents a quantum algorithm that focuses on computing a specified contrast function on a quantum computer. Using the quantum acceleration in matrix operations, we efficiently deal with Gram matrices and estimate the contrast function with the complexity of

O
(

ϵ
1

−
2

poly

log
⁡
(
N

/

ϵ
1

)
)

. This estimation subprogram, combined with the classical optimization framework, builds up our ICA algorithm, which exponentially reduces the complexity dependence on the data scale compared with algorithms using only classical computers. The outperformance is further supported by numerical experiments, while our algorithm is then applied for the separation of a transcriptomic dataset and for financial time series forecasting, to predict the Nikkei 225 opening index to show its potential application prospect.