bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acquisition of three Chinese de structures by English-speaking learners
Authors: Jin Wenhua , Yang Chunsheng , Zhang Yiping , He Wayne Wenchao 
Published: September 2023

Abstract
This study examines English speaking learners’ acquisition of three Chinese de structures, including Nominalization, Cleft, and Relative Clause. Our findings reveal different acquisition patterns for the three structures and identify several major factors such as structural similarities and differences between the native and second languages, feature configurations, native language transfer, memory factors such as the storage and integration cost, learner avoidance strategy, and motivation as role players in the learning process. This study presents new data and perspectives on the understanding of the second language acquisition of Chinese de structures, reveals the acquisitional effects of the identified major factors, proves the validity of Feature Reassembly Hypothesis (FRH) and Storage and Integration Resources Accounts (SIRA) as potential universal principles that affect the processing and acquisition of the second language, and provides theoretical and pedagogical implications for the fields of Chinese as a second language and second language acquisition in general as well.
An atmospheric pressure plasma afterglow to charge ultrafine aerosol particles
Authors: Vidwans Abhay , Dhawan Sukrant , Biswas Pratim 
Published: September 2023

Abstract
A novel flowing plasma system aimed at increasing charging efficiency of particulate matter and effective removal through electrostatic precipitation is studied. Nanoparticles are passed through the spatial afterglow of an atmospheric pressure radio-frequency glow discharge plasma. Particle charging efficiencies and polarities are measured at different plasma-aerosol gaps, aerosol and plasma flow rates, plasma powers, and afterglow DC bias. Various timescales are calculated to explain the transport of charge carriers that facilitate particle charging processes. The experimental results showed increased charging efficiency and net positive charging at longer gaps between the afterglow and aerosol stream and lower aerosol flow rates. Timescale analysis indicates that when ample residence time is provided, transport of charge carriers shifts from ambi-polar diffusion to free diffusion, and electrons are rapidly lost from the afterglow, resulting in highly efficient, net positive charging of particles. The charging efficiency of particles in optimized operating conditions was comparable or higher than reported collection efficiencies of electrostatic precipitators. The findings overall demonstrate that glow discharges are capable of charging particles not immersed in the plasma bulk, and such systems show promise for improving performance of particle mitigation technology.
Optimizing interstitial site luminescence via a sensitizer strategy towards green synthesis of Mn4+-activated fluoride phosphors
Authors: Yao Xintong , Kong Lingyu , Guan Gaoxuanyu , Hu Yuping , Luo Rui , Li Qiannan , Lang Tianchun , Han Tao , Liu Bitao 
Published: September 2023

Abstract
High water-soluble KHF2:Mn4+ (KHFM) is a potential precursor instead of K2MnF6 for preparation of Mn4+ doped fluoride materials, but it has a lower Mn4+ concentration in precursor causing a poor luminescence performance. Herein, we reported a Ti4+-doped KHFM phosphor with high luminous efficiency, high thermal stability via a sensitizer strategy. Significantly, the luminescence intensity of KHFM:xTi4+ (x = 0.8%) is increased by 4.6 times, besides, the maximum values of the internal quantum efficiency (IQE) and external quantum efficiency (EQE) increased to 81% and 49%, respectively. Further, the weaker zero phonon line (ZPL) at 621 nm (1.997 eV) is accordingly highlighted with the increase of PL intensity after codoping Ti4+ content. These results indicate that introducing suitable ion to interstitial site as sensitizer can promote the introduction of Mn4+ in ion exchange process. Notably, the obtained KHFM:Ti4+, as a particular green precursor material instead of K2MnF6, develops a novel green synthetic route for preparing Mn4+-activated K2SiF6 fluoride phosphors, and is helpful in developing high-performance warm WLED.
A closed-form expression of electric polarizability for elliptical apertures excited by nonuniform electric field
Authors: Du Zhanpeng , Jiang Zhiye , Deng Zuoxing , Huang Jiancheng , Jiao Chongqing 
Published: September 2023

Abstract
It is well known that electric field penetration through a small aperture in a perfectly conducting plane behaviors like an electric dipole. When excited by uniform electric field, the dipole moment has analytical solution for elliptical apertures and numerical/experimental values for other shapes. In this paper, for the case of nonuniform field excitation, based on the electrostatic reciprocity theorem, the closed-form expression of electric dipole moment is derived for elliptical apertures. This expression is in integral form, and its integrand is the product of the nonuniform electric field distribution and the potential distribution when excited by uniform field in the aperture plane. Taking a point charge located on the aperture plane as an example of nonuniform field excitation, the dipole moment is calculated using the proposed closed-form expression. The validation is verified by comparisons with exact integral solution for circular apertures and with finite element simulations for elliptical apertures.
BM3D-based color computational ghost imaging
Authors: Zhao Ming , Zhang Xue-Dian , Zhang Rong-Fu 
Published: September 2023

Abstract
In this study, we develop a BM3D-based algorithm to improve the performance of color computational ghost imaging. Specifically, we respectively project the speckle patterns of red, green and blue onto the object. Then, we adopt the single-pixel photodetector to record the total light intensity reflected by the target object. Finally, we calculate the correlation between the light intensity sequence and the corresponding speckle patterns based on BM3D algorithm. Our simulation results show that the developed scheme can achieve high-quality reconstruction image even at low sampling ratio.
An ensemble deep-learning approach for single-trial EEG classification of vibration intensity
Authors: Alsuradi Haneen , Park Wanjoo , Eid Mohamad 
Published: September 2023

Abstract

Objective. Single-trial electroencephalography (EEG) classification is a promising approach to evaluate the cognitive experience associated with haptic feedback. Convolutional neural networks (CNNs), which are among the most widely used deep learning techniques, have demonstrated their effectiveness in extracting EEG features for the classification of different cognitive functions, including the perception of vibration intensity that is often experienced during human-computer interaction. This paper proposes a novel CNN ensemble model to classify the vibration-intensity from a single trial EEG data that outperforms the state-of-the-art EEG models. Approach. The proposed ensemble model, named SE NexFusion, builds upon the observed complementary learning behaviors of the EEGNex and TCNet Fusion models, exhibited in learning personal as well generic neural features associated with vibration intensity. The proposed ensemble employs multi-branch feature encoders corroborated with squeeze-and-excitation units that enables rich-feature encoding while at the same time recalibrating the weightage of the obtained feature maps based on their discriminative power. The model takes in a single trial of raw EEG as an input and does not require complex EEG signal-preprocessing. Main results. The proposed model outperforms several state-of-the-art bench-marked EEG models by achieving an average accuracy of 60.7% and 61.6% under leave-one-subject-out and within-subject cross-validation (three-classes), respectively. We further validate the robustness of the model through Shapley values explainability method, where the most influential spatio-temporal features of the model are counter-checked with the neural correlates that encode vibration intensity. Significance. Results show that SE NexFusion outperforms other benchmarked EEG models in classifying the vibration intensity. Additionally, explainability analysis confirms the robustness of the model in attending to features associated with the neural correlates of vibration intensity.
Plasmonic Lattice Modes with High Quality Factor in Inhomogeneous Environment
Authors: Yang Hua , Lou Chaogang 
Published: September 2023

Abstract
Plasmonic lattice modes (PLM) with high quality factor is formed by periodic Au hemisphere arrays on the quartz substrates. The formation of PLM is attributed to the coupling between the localized surface plasmon resonance of Au hemispheres and the diffracted waves inside the substrates rather than the diffracted waves in the air. By changing the hemispheres’ size and the arrays’ period, the PLM wavelength is adjustable. It is also found that the refractive index of the substrates has no effect on the quality factor of PLM. As the refractive index increases, the position of the PLM wavelength has a redshift. While the surroundings where periodic Au hemisphere arrays on the quartz substrates are located affect the quality factor of PLM.
Research on Remote Sensing Geochemical Modeling Based on Surface to Surface Model
Authors: Cheng Gong , Li Yufang , Tang Jingru , Li Wei , Liao Lingyi , Hussain Syed 
Published: September 2023

Abstract
Remote sensing geochemistry is a simple, fast and economical advanced prospecting method, which carries out inversion and prediction of surface element content using the empirical model by regression or machine learning. The key problem faced by quantitative remote sensing is the low inversion accuracy of the model due to the mismatch of “point surface” information. How to overcome this problem? This paper proposes a “surface to surface” modeling method, which converts point data into surface data through Kriging interpolation to solve this problem. This paper uses geochemical interpolation data of Cu elements at different scales in the Qishitan gold mine area, Xinjiang, and ASTER remote sensing data to conduct geochemical modeling. In order to test the effect of Kriging on decreasing the scale effect, five sets of experiments were designed for comparison. The first four sets of sample data were interpolated according to different cell sizes, and the last set of data was not interpolated. The results show that the Kriging interpolation based on the ground resolution of the remote sensing image can effectively improve the accuracy of the remote sensing quantitative inversion model. When the square interpolation is close to the ground resolution of the used remote sensing data, the modeling accuracy gets the best value. This paper provides a new idea for improving the accuracy of remote sensing geochemical modeling.
Corrosion Resistance Mechanism of Stellite-6 Coating on 42CrMo Substrate by Overlap Remelting
Authors: Gong Yuling , Gong Fei , Sun Guolei , Xu Xiaodong , Wang Xiao , Li Longquan 
Published: September 2023

Abstract
To delay the corrosion rate of 42CrMo steel in oil and gas drilling industry, Co-based coatings were prepared on 42CrMo steel through laser cladding at different overlap rate (20%, 50% and 60%). The relationships between microstructure and corrosion behaviour of Stellite-6 coating in Cl ion corrosion medium were analysed by means of SEM, polarization curve and EIS. The results showed that the microstructures of Stellite-6 coating were mainly equiaxial crystal, and the corrosion form of cladding Stellite-6 alloy was pitting corrosion. The best corrosion resistance of Stellite-6 coating was the coating prepared at the overlap rate 50%. The formation of passivation films (Cr2O3 and Cr(OH)3) on the coating could obviously improve the corrosion resistance in Cl ion corrosion medium.
Methane Sensor Based on High-Q Microsphere Whispering Gallery Mode
Authors: Wu Luzhu , He Pengyu , Xu Huiyang , Li Boan , Yantang Huang 
Published: September 2023

Abstract
In this paper, the principle of the methane gas enhanced the laser absorption by the WGM of high-Q microsphere was studied. A taper optical fiber was used as a coupler to couple 1653.72 nm laser into a microsphere with a optical fiber handle to form whispering gallery mode(WGM). The resonant wavelength of the microsphere cavity was changed to 1653.72 nm by injecting heating light along the handle, so that one resonant wavelength of the microsphere is just 1653.72 nm. The 1653.72 nm laser forms WGM continuously to surround the microsphere, and the effective optical path is greatly increased, which increases the interaction distance with methane, and thus the sensitivity of methane detection is improved. The results show that the microsphere with WGM can be used as a gas sensor.
Fiber Optical Temperature Sensor Based on 980nm Excitation of CaWO4: Yb3+, Er3+ with Up-conversion Fluorescence Intensity Ratio
Authors: Tu Bifeng , Liao Songsong , Feng Baihe , Xu Huiyang , Huang Yantang 
Published: September 2023

Abstract
The Yb3+, Er3+ co-doped calcium tungstate materials were prepared. The temperature-sensitive fiber optic probes made from CaWO4:Yb3+, Er3+ were prepared by the high-temperature solid-phase sintering method. The XRD lattice structure of CaWO4: Yb3+, Er3+ was tested. The fluorescence spectra of the probe under 980nm excitation were tested, and the variable temperature profile of the probe was analyzed to derive its two-photon absorption process. The temperature characteristics of the up-conversion fluorescence intensity ratio (FIR) of the probe in the temperature range of 303-673K were investigated, and the results showed that this optical fiber probe can be used as a fiber optic temperature sensor with a linearity of 5.8% and a temperature measurement return difference of only 1.5%; it was found that the temperature characteristic curve of FIR of this fiber optic probe was reproducible. These properties show that CaWO4: Yb3+, Er3+ is feasible to be made into a fiber optic sensor.
Low-loss Optical Switching Based on Phase-change Material Sb2Se3 in a Micro-ring Resonator
Authors: Zhang Qianru , Hong Qilin , Zhu Zhihong 
Published: September 2023

Abstract
In the past research, optical interconnection has successfully developed into an emerging technology due to its compatibility with CMOS, where an efficient and reconfigurable optical switch operating at ultra-low programming energy is a key element to realize optical signal routing and switching. Here we numerically demonstrate an optical switch operating in the telecommunications band, which shows a 20 dB switch ratio and insertion loss of 0.8 dB. The device is implemented in waveguide-coupled micro-ring resonator (MRR) using the phase materials Sb2Se3, which exhibits high contrast in its optical properties upon transitions between its crystalline and amorphous structural phases.
Design of Market Load Control Mechanism for New Power System
Authors: Wang Jie , Xue Yiming , Sun Beibei , Ma Runpeng , Chen Siqi 
Published: September 2023

Abstract
Under the background of energy transformation, China vigorously promotes the construction of a new power system with new energy as the main body. However, the random and volatile power generation characteristics of new energy increase the demand for flexible regulation resources of the system operation. It is difficult to take into account the economy and security of the system operation only by power side regulation resources, so it is necessary to fully tap the potential of flexible adjustment on the demand side and promote the gradual transformation of the source-load mode to the operation mode of source-load interaction. Based on the mature experience of domestic and foreign demand-side response mechanisms, this paper studies the load-side regulation mechanism to provide references for domestic load-side regulation. Aiming at the regulation requirements of the power system, a flexible and efficient load-side regulation mechanism involving large-scale load-side regulation resource aggregation is proposed. This mechanism is designed from four aspects: load regulation of market players, multi-time scale regulation of transactions, regulation form and regulation of capital sources. It is of great significance for breaking the interaction barriers of source and load and forming a market system with an efficient economy, orderly competition and perfect governance.
Assessment of the regional heating system combined with geothermal source, air source and energy storage
Authors: Gao Jun , Zhao Yuan , Yin Shiji , Wang Dabiao , Zhao Ruirui , Liu Chen , Yue Zhiwei , Dai Baomin 
Published: September 2023

Abstract
Regional integrated heating using renewable energy is an efficient way to achieve the target of carbon emission reduction. Based on geothermal sources, air source heat pumps, and inter-seasonal energy storage technologies, a multi-source integrated regional heating system is proposed, which can meet the requirement of heating in buildings. With a residential community with an area of 35700 m2 as the study case, the models of geothermal source heat pump and air source heat pumps are constructed. Next, the energy performance and environmental performance of the integrated district heating system are analyzed. The study manifests that the multi-source central heating system reduces the energy consumption by 45.73% in comparison with the tranditional boiler solution, and the CO2 emission is reduced by 787.83 tCO2. The multi-source heat pump system can achieve social benefits, with the help of reasonable dispatching between the source and load sides, and the contribution of renewable energy. The long-term stable operation of the energy system can be achieved. The study provides a theoretical reference for the application of the conventional energy systems combined with geothermal energy.
A machine-learning based closed orbit feedback for a synchrotron light source
Authors: Li Ruichun , Zhang Qinglei , Jiang Bocheng , Zhao Zhentang , Li Changliang , Wang Kun 
Published: September 2023

Abstract
In order to improve the stability of synchrotron radiation, we developed a new method of machine learning-based closed orbit feedback, and piloted it in the storage ring of the Shanghai Synchrotron Radiation Facility (SSRF). In our experiments, the machine learning-based closed orbit feedback can carry out horizontal, vertical and RF main frequency feedback simultaneously. What's more, the residual values of variations in the correctors' currents before vs. after correction can be almost ignored. This machine learning-based new method is expected to establish a new closed orbit feedback system and improve the orbit stability of the storage ring in daily operation.
Two-step relaxation in local many-body Floquet systems
Authors: Žnidarič Marko 
Published: September 2023

Abstract
We want to understand how relaxation process from an initial non-generic state proceeds towards a long-time typical state reached under unitary quantum evolution. One would expect that after some initial correlation time relaxation will be a simple exponential decay with constant decay rate. We show that this is not necessarily the case. Studying various Floquet systems with fixed two-qubit gates, and focusing on purity and out-of-time-ordered correlation functions, we find that in many situations relaxation proceeds in two phases of exponential decay having different relaxation rates. Namely, in the thermodynamic limit the relaxation rate exhibits a change at a critical time proportional to system’s size. The initial thermodynamically relevant rate can be slower or faster than the asymptotic one, demonstrating that the recently discovered phantom relaxation, in which the decay is slower than predicted by a nonzero transfer matrix gap, is not limited to only random circuits.
Zero sound in a quantum gas of spin-3/2 atoms with multipole exchange interaction
Authors: Bulakhov M , Peletminskii A S , Slyusarenko Yu V 
Published: September 2023

Abstract
In the context of quantum gases, we obtain a many-body Hamiltonian for spin-3/2 atoms with general multipole (spin, quadrupole, and octupole) exchange interaction by employing the apparatus of irreducible spherical tensor operators. This Hamiltonian implies the finite-range interaction, whereas, for zero-range (contact) potentials parameterized by the s-wave scattering length, the multipole exchange interaction becomes irrelevant. Following the reduced description method for quantum systems, we derive the quantum kinetic equation for spin-3/2 atoms in a magnetic field and apply it to examine the high-frequency oscillations known as zero sound.
Fabrication and peeling behavior of thermally conductive pressure-sensitive adhesive films with embedded graphite composite patterns
Authors: Oh Sang-Ah , Baek Sangwoong , Yun Hyesun , Kwak Min-Gi , Lee Chan-Jae , Kim Youngmin 
Published: September 2023

Abstract
Thermal interface materials (TIMs) have been widely employed to address the thermal issues arising in electronics. Given that heat generated at heat sources is dissipated into heat sinks through TIMs, the softer they are, the more efficient the heat transfer is. In this paper, a thermally conductive pressure-sensitive adhesive (PSA) film (gr-PSA film) in which graphite composite patterns were embedded was fabricated and its thermal conductivity and peeling behavior were investigated. Because of its low storage modulus (2.4 × 104 Pa), a mixture of soft polyurethane acrylate, butyl acrylate, and 2-ethylhexyl acrylate was used to fabricate a PSA. The in-plane and through-plane thermal conductivity of the gr-PSA film were measured as 1.56 (±0.37) Wm−1K−1 and 0.25 (±0.03) Wm−1K−1, respectively. The peeling behavior of the gr-PSA tape was investigated by a 90° peel test and the results were compared with simulation results obtained by cohesive zone modeling implemented in the finite element method. Both results show that the peel force oscillated when the gr-PSA tape was peeled. Because the gr-PSA tape comprises alternating stiff and compliant segments, more force is needed peeling when bending the stiff segments.
A review of high-performance carbon nanotube-based carbon fibers
Authors: Lee Dongju , Heo So Jeong , Kim Seo Gyun , Ku Bon-Cheol 
Published: September 2023

Abstract
With the growing importance of high-performance carbon fibers (CFs), researches have been conducted in many applications such as aerospace, automobile and battery. Since conventional CFs which were made from polyacrylonitrile, pitch and cellulose display either high tensile strength or high modulus properties due to structural limitations, it has been a challenge to develop CFs with both tensile strength and modulus with high conductivity. Therefore, various studies have been conducted to obtain high-performance multifunctional CFs. Among them, 1-dimensional carbon nanotubes (CNTs) have been used commonly to make CFs because of high mechanical and conducting properties. In this review, the recent development of CFs was introduced briefly, and CNT-based composite CFs were introduced. Many efforts are being made to create high-performance CFs by combining various carbon nanomaterials and polymers, which can have potential to be utilized in aerospace, defense and other industries. The those fibers may be nextgeneration high-performance fibers due to both high strength and high modulus as well as high conducting properties. The challenges and outlook for commercialization of CNT-based CFs are addressed in terms of aspect ratio of CNTs, solvent recycling, and mass-production.