bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation based evaluation of a fan beam coded aperture x-ray diffraction imaging system for biospecimen analysis
Authors: Stryker Stefan , Kapadia Anuj J , Greenberg Joel A 
Published: February 2021

Abstract
X-ray diffraction (XRD) imaging yields spatially resolved, material-specific information, which can aid medical diagnosis and inform treatment. In this work we used simulations to analyze the utility of fan beam coded aperture XRD imaging for fast, high-resolution scatter imaging of biospecimens for tissue assessment. To evaluate the proposed system’s utility in a specific task, we employed a deterministic model to produce simulated data from biologically realistic breast tissue phantoms and model-based reconstruction to recover a spatial map of the XRD signatures throughout the phantoms. We found an XRD spatial resolution of ≈1 mm with a mean reconstructed spectral accuracy of 0.98 ± 0.01 for a simulated 1 × 150 mm2 fan beam operating at 160 kVp, 10 mA, and 4.5 s exposures. A classifier for cancer detection was developed utilizing cross-correlation of XRD spectra against a spectral library, with a receiver operating characteristic curve with an area under the curve value of 0.972. Our results indicated a potential diagnostic modality that could aid in tasks ranging from analysis of ex-vivo pathology biospecimens to intraoperative cancer margin assessment, motivating future work to develop an experimental system while enabling the development of improved algorithms for imaging and tissue analysis-based classification performance.
Intrasheath electron dynamics in low pressure capacitively coupled plasmas
Authors: Vass Máté , Derzsi Aranka , Schulze Julian , Donkó Zoltán 
Published: February 2021

Abstract
We present a detailed analysis of electron trajectories within the sheath regions of capacitively coupled plasmas excited by radio-frequency voltage waveforms at low pressures. Complex features inside the sheaths are identified in several physical quantities, which are sculptured by the trajectories of bouncing energetic electrons (predominantly ion induced secondary electrons) under the influence of the spatio-temporally varying electric field. Based on a systematic parameter variation the generation of the various features as a function of surface processes is explained and the trajectories of electrons of different origin are identified.
Foundations and interpretations of the pulsed-Townsend experiment
Authors: Casey M J E , Stokes P W , Cocks D G , Bošnjaković D , Simonović I , Brunger M J , Dujko S , Petrović Z Lj , Robson R E , White R D 
Published: February 2021

Abstract
The pulsed-Townsend (PT) experiment is a well known swarm technique used to measure transport properties from a current in an external circuit, the analysis of which is based on the governing equation of continuity. In this paper, the Brambring representation (1964 Z. Phys.
179 532) of the equation of continuity often used to analyse the PT experiment, is shown to be fundamentally flawed when non-conservative processes are operative. The Brambring representation of the continuity equation is not derivable from Boltzmann’s equation and consequently transport properties defined within the framework are not clearly representable in terms of the phase-space distribution function. We present a re-analysis of the PT experiment in terms of the standard diffusion equation which has firm kinetic theory foundations, furnishing an expression for the current measured by the PT experiment in terms of the universal bulk transport coefficients (net ionisation rate, bulk drift velocity and bulk longitudinal diffusion coefficient). Furthermore, a relationship between the transport properties previously extracted from the PT experiment using the Brambring representation, and the universal bulk transport coefficients is presented. The validity of the relationship is tested for two gases Ar and SF6, highlighting also estimates of the differences.
Cryogenic readout of superconducting nanowire single-photon detectors using high-sensitivity adiabatic quantum-flux-parametron circuits
Authors: China Fumihiro , Takeuchi Naoki , Miki Shigehito , Yabuno Masahiro , Miyajima Shigeyuki , Terai Hirotaka 
Published: February 2021

Abstract
We have been developing readout interfaces for superconducting nanowire single-photon detectors (SSPDs) using adiabatic quantum-flux-parametron (AQFP) logic. AQFP circuits operate with low power consumption, low bias currents, and high sensitivity, and thus are suitable as readout interfaces for large SSPD arrays. In this study, we develop a high-sensitivity AQFP interface, consisting of a current transformer, comparator, and rising-edge detector. We systematically investigated the current sensitivity of the AQFP interface by operating an NbTiN SSPD with the interface in a 0.1 W Gifford–McMahon cryocooler. We compared the outputs from the AQFP interface with the direct outputs from the SSPD, thereby demonstrating a sensitivity of 3.5 μA, which is much smaller than that of the single-flux-quantum interfaces that we developed before.
Superconducting fluctuations above T
c in (Li1−

x
Fe
x
)OHFeSe single crystal
Authors: Wu Yuxian , Wen Zhiwei , Li Yong , Chen Yongliang , Zhao Yong 
Published: February 2021

Abstract
The magnetization and resistivity measurements have been done to investigate the superconducting fluctuations effect above the superconducting transition temperature (T
c) in (Li1−x
Fe
x
)OHFeSe single crystal. These measurements were performed with applying the external magnetic fields in the ab plane of (Li1−x
Fe
x
)OHFeSe single crystal. By analyzing the diamagnetism response and excess conductivity, the behavior of superconducting fluctuations in the normal state is studied. The upper limit temperature of superconducting fluctuation is determined to be around 1.2 times larger than T
c, suggesting that the superconducting fluctuation of (Li1−x
Fe
x
)OHFeSe is a large one. This exceeding value is obviously higher than the conventional superconductors. In addition, the superconductivity of (Li1−x
Fe
x
)OHFeSe coexists with the magnetism rooted in the (Li, Fe)OH layer and induced by magnetic field at low temperature.
Ultrafast spin dynamics in inhomogeneous systems: a density-matrix approach applied to Co/Cu interfaces
Authors: Töpler F , Henk J , Mertig I 
Published: February 2021

Abstract
Ultrafast spin dynamics on femto- to picosecond timescales is simulated within a density-operator approach for a Co/Cu bilayer. The electronic structure is represented in a tight-binding form; during the evolution of the density operator, optical excitation by a femtosecond laser pulse, coupling to a bosonic bath as well as dephasing are taken into account. Our simulations corroborate the importance of interfaces for ultrafast transport phenomena and demagnetisation processes. Moreover, we establish a reflow from Cu d orbitals across the interface into Co d orbitals, which shows up prominently in the mean occupation numbers. On top of this, this refilling manifests itself as a minority-spin current proceeding several layers into the Cu region. The present study suggests that the approach captures essential ultrafast phenomena and provides insight into microscopic processes.
Generation and stability of diversiform nonlinear localized modes in exciton–polariton condensates
Authors: Zhang Kun , Wen Wen , Lin Ji , Li Hui-jun 
Published: February 2021

Abstract
We propose a scheme to generate and stabilize one- and two-dimensional dark, bright, dark-like, bright-like solitons, and vortices with m = 1 and m = 2 in a nonresonantly incoherent pumped exciton–polariton condensate. A spatially modulating pumping is introduced, which can compensate (counteract) the loss (gain) originated from the nonlinear excitation of the stable homogeneous polariton. The numerical simulations show that the balance between the gain and loss in this scheme can support and stabilize various nonlinear modes, not just stable dark solitons which have been found in the previous studies. Our proposal may provide a way to generate, stabilize, and control nonlinear modes in the nonresonantly pumped exciton–polariton system.
Compact silica-based equal nine-channel generated by triple-layer arrays
Authors: Fang Jimin , Wang Bo 
Published: February 2021

Abstract
In order to achieve the demands of multi-beam splitting in the optical communication system, a compact high-efficiency silica-based nine-channel beam splitter grating (BSG) at infrared wavelength is proposed based on a three-layer array structure. The grating profile parameters are investigated by the rigorous coupled-wave analysis (RCWA) and the finite-element method (FEM). The total efficiency of the nine-channel beam splitter reaches 96.98%, and the error of uniformity is reduced to 2.98%. The results show that the theoretical values of the two optimization methods are in good agreement. Moreover, the presented grating has a good performance against fabrication tolerances. The modal method is used for detailed physical explanation of the energy exchange and propagation modes inside the grating. The proposed high-efficiency nine-channel beam separation by three-layer arrays should be helpful for developing the multi-beam splitting of the optical system of the lithography machine and the new ultra-precision optical devices.
MARS-Q modeling of kink-peeling instabilities in DIII-D QH-mode plasma
Authors: Dong G.Q. , Liu Y.Q. , Chen X. , Hao G.Z. , Liu Y. , Wang S. , Zhang N. , Xia G.L. 
Published: February 2021

Abstract
In quiescent H-mode (QH-mode) regime, edge harmonic oscillations (EHOs) are believed to provide necessary radial transport to prevent occurrence of large edge localized modes. A systematic modeling study is performed here on the low-n EHOs in a DIII-D QH-mode plasma (Chen et al 2016 Nucl. Fusion
56 076011), by utilizing the MARS-Q code (Liu et al 2013 Phys. Plasmas
20 042503). Both the n = 1 and n = 2 instabilities are found to be strongly localized near the plasma edge, exhibiting the edge-peeling characteristics. The DIII-D resistive wall is found to have minor effects on these instabilities. The plasma resistivity is found to strongly modify the mode growth rate. Assuming the Spitzer model for the plasma resistivity, the computed mode growth rate scales as S
−1/3 with S being the Lundquist number. Toroidal flow of the plasma slightly stabilizes these edge localized kink-peeling modes. Drift kinetic effects all have a destabilization effect on these modes. Non-perturbative magneto-hydrodynamic-kinetic hybrid computations find that the drift kinetic effects associated with thermal particle species push the peak location of the eigenmode radially inward but still in the pedestal region. The modeled plasma temperature and density fluctuations in the plasma edge region, as well as the poloidal magnetic field perturbations along both the low and high field sides of the plasma surface, are in good agreement with experimental measurements. Finally, the quasi-linear initial value simulations find a strong non-linear interplay between the kink-peeling instability and the toroidal flow near the plasma edge. The combined effect of the damping of the flow amplitude and change of the edge flow shear is found to be the stabilizing factor for the kink-peeling mode, leading to the mode saturation and thus EHOs.
Triangular Norm (δ, γ)-Fuzzy co-sets and Homomorphism
Authors: Jayaraj J , Arul Selvaraj X 
Published: February 2021

Abstract
The concept of fuzzy sets was introduced by Zadeh [2] in 1965. Rosenfield [3] introduced the notion of a fuzzy group as easily as 1971. We expand the notion of triangular norm (t-norm) from Rajesh Kumar [1]. The author have already introduced the notation (δ,γ)-fuzzy in [4] and t – norm (δ,γ)-fuzzy [5]. In this paper, we study the notion of t – norm (δ,γ)-fuzzy co-set of the t – norm (δ,γ)-normal subgroup of the group G.
An Introduction to δ-open sets in a Neutrosophic Topological Spaces
Authors: Vadivel A , Seenivasan M , John Sundar C 
Published: February 2021

Abstract
In this paper, we introduce a new types of δ-open sets and δ-closed sets in neutrosophic topological spaces which are a stronger form. Also, the notion of neutrosophic δ mappings were introduced and also discuss their relationship between near mappings in neutro-sophic topological spaces. Moreover, we investigate some of their basic properties and examples in neutrosophic topological spaces.
Safety Monitoring System in Minimg Environment Using Iot
Authors: Kavitha D. , Chinnasamy A. , Devi A. Sangeerani , Shali A. 
Published: February 2021

AbstractThe average mine worker is exposed to the harsh underground environment which can sometimes cause an injury or loss of life. The older methods of mine condition monitoring involved using a person to go down and report back. This method is however dangerous as the person who is monitoring a specific hazard could be harmed by that hazard. This standard can be reinforced through the implementation of modern technology which is central to the non-invasive mine safety system with wireless sensor networks to obtain the best possible result.
Research on Project Management Computer System Based on BIM
Authors: Ying Danlei , Cheong Chew Boon , Wang Libin 
Published: February 2021

Abstract
In the engineering industry, its development is combined with information technology. The traditional method is to use CAD (Computer Aided Design) technology. With the economic growth and the development of information technology, engineering projects become more and more complex. The traditional technology has gradually been unable to adapt to the development of the project, and its disadvantages have gradually emerged, which cannot meet the requirements of project management. Therefore, BIM Technology should also be applied It can greatly make up for the shortcomings of traditional technology in complex engineering and promote the development of engineering projects. According to the principle of BIM Technology, this paper applies BIM Technology to project management. According to the characteristics of BIM Technology and the difficulties of large-scale project management, the application of BIM Technology in engineering is studied and analyzed. Combined with computer technology, this paper studies the project management computer system based on BIM, which can improve the management level of large-scale engineering projects, improve the management level of large-scale projects, and save costs. It can provide certain reference for the follow-up research and promote the application of BIM Technology in project management.
Design of Remote Control System for Smart Home Based on Unity and the Internet of Thing
Authors: Zhang Yujie , Yin Xiao”na 
Published: February 2021

Abstract
In view of the problems of unintuitive operation and poor user experience in the human-computer interaction of smart homes, the article proposes the application of virtual reality technology on the basis of relevant theoretical analysis, based on unity development platform and smart home control center, a smart home control system based on virtual reality technology is designed and developed. The system is composed of client, cloud and device. The client realizes virtual roaming, real-time display of device status and remote control. The cloud realizes the functions of control command forwarding and data storage. The gateway is used to communicate with each home device and cloud to realize the functions of sending control commands and reporting device status data. The test shows that the system is novel and practical. Using virtual reality technology as a human-computer interaction interface for smart home control can give users an intuitive smart home control experience and improve the user’s experience.
The Status Quo of Aerospace Engine Vibration Fatigue
Authors: Zhang Longfei , Li Jing , Kou Ying 
Published: February 2021

Abstract
In the working environment of aero engine blades, it is necessary to withstand the influence of factors such as aerodynamic stress, vibration stress, centrifugal stress, thermal stress, high temperature oxidation, thermal corrosion, etc. The blades often exhibit vibration fatigue fracture, foreign object damage, corrosion, material defects, and sports damage. This article summarizes the fatigue fracture problems of aero-engine blades, provides a systematic basic theory for the design, innovation and development of aero-engine blades, and has certain reference value.
An Artificial Bee Colony Algorithm for Multi-objective Optimization of Cold Chain Distribution Path
Authors: Zhao Ming , Wang Shoujin , Jiang Hui , Liu Ying 
Published: February 2021

Abstract
Optimization of the distribution path of cold chain distribution path has always been a focus and hot issue in the field of cold chain logistics. In this paper, firstly, a mathematical model with minimum transportation cost and cold cost as the optimization objectives is established, and then an artificial bee colony algorithm to solve the multi-objective model is designed. Finally, an experimental example is generated by combining relevant literature example and random method to verify the effectiveness of the model and algorithm, and the convergence process of the example solution is also given.
Risk Data Analysis of Cross Border E-commerce Transactions Based on Data Mining
Authors: Qing Haohua , Zheng Guokai , Fu Die 
Published: February 2021

Abstract
At present, China’s foreign trade volume of cross-border e-commerce is still relatively small, the targeted legal system has not been established, and the industry access threshold is relatively low. The development of cross-border e-commerce faces many risks. Relying on data mining technology, data docking and risk control. At the data level, the risk of cross-border e-commerce transaction is processed and analyzed, and the potential risk is predicted, and more targeted risk control methods are proposed to reduce the risk of cross-border e-commerce transaction business. Aiming at this problem, this paper establishes the risk data analysis of cross-border e-commerce transactions based on data mining. In order to further verify the data accuracy of data mining technology, this paper analyzes the test values of neural network algorithm, seizure rate and inspection rate. When the misclassification loss parameter value is increased from 1 to 4, the detection rate of the model increases and the detection rate decreases. When the misclassification loss value is higher than 4, the detection rate increases, but the seizure rate decreases significantly. Therefore, the target inspection rate of the model can be changed by adjusting the misclassification loss parameter value of the model. If we set the parameter value of misclassification loss reasonably, we can achieve the goal of preventing and controlling the maximum risk with the lowest data mining cost. Through the analysis, the research in this paper has achieved ideal results, and made a contribution to data mining in cross-border e-commerce transaction risk data analysis.
Discussion on O+P Landscape Architecture Teaching Mode under the Background of Internet
Authors: Wang Xiaobo , Liang Weinan , Wang Hui 
Published: February 2021

Abstract
The landscape architecture teaching model under the Internet background needs to make full use of the O+P model that combines online teaching with on-site offline practice. The curriculum group of landscape architecture is divided into three types: knowledge, operation, and practice. Each type of course uses different online and offline teaching methods. This teaching mode is conducive to the integration of internationally superior teachers, demonstrates the practical value of landscape architecture, and enhances college students’ awareness of serving the society.
Application of Artificial Intelligence Technology in Personalized Online Teaching under the Background of Big Data
Authors: Chen Lujun 
Published: February 2021

Abstract
Big data technology allows you to extract laws from large amounts of data. Through various industry practices, data mining, classification and analysis of large amounts of data can provide effective reference for decision-making. The same is true for the education industry. The introduction of data mining technology online education platform can effectively improve students’ learning efficiency and education management level. In this article, I will mainly introduce the application of artificial intelligence technology in personalized online education in the context of big data. In this article, we apply constructive theory and big data technology to the online education system, and define some general education models for the current status of online education. The model monitors the learning process of students, adjusts educational strategies according to the characteristics of each student, and enables students to receive appropriate training to understand their personal information. Through the analysis of the experiment, it can be concluded that the personalized online education platform under the background of big data has been significantly improved. From a specific point of view, in the context of artificial intelligence, the number of users has increased by 9%.
Research on Driver Fatigue State Detection Method Based on Deep Learning
Authors: Wang Yonghui , Qu Roufei 
Published: February 2021

Abstract
Fatigue driving detection is essential to ensure the safety of society and drivers. At present, most fatigue detection methods are relatively traditional and single, and have complex algorithms, low accuracy, and low fault tolerance. Based on the improved Multi-task Cascaded Convolutional Network (MTCNN) to achieve precise positioning of facial feature points, combined with the Res-SE-net model to achieve eye, mouth area and state classification. The model is trained, and finally the driver fatigue is judged based on the PERCLOS rule combined with the OMR rule of mouth opening and closing frequency. Experimental results show that this method can effectively extract fatigue features, has high detection accuracy, meets real-time requirements, and has high robustness to complex environments.
Effect of Mathematical Concept Understanding and Mathematical Reasoning on Mathematical Literacy Abilities
Authors: Kharis S A A , Salsabila E , Haeruman L D 
Published: February 2021

Abstract
This study aims to obtain information about the effect of mathematical concept understanding and mathematical reasoning on mathematical literacy abilities. The problems in this study include: 1) Is there an effect of mathematical concept understanding to the ability of mathematical literacy 2) Is there an effect of mathematical reasoning on mathematical literacy abilities and 3) Is there an effect of the ability to understand concepts and mathematical reasoning on mathematical literacy abilities. This research uses a quantitative approach with survey methods and correlational techniques. The variables in this study: the dependent variable is the ability of mathematical literacy (Y) and the independent variables are mathematical concept understanding (X1) and mathematical reasoning (X2). The population are all students of the Mathematics Department with sample of 51 students taken using the Simple Random Sampling method. The data obtained were analyzed including descriptive analysis and inferential analysis using SPSS software. Inferential analysis using multiple regression analysis after going through the process of checking the prerequisites/assumptions of the analysis that must be met. From the research, there is an effect of the ability to understand mathematical concepts and mathematical reasoning together on the mathematical literacy of students in the amount of 35.3%.