bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extreme sensitivity of plasmon drag to surface modification
Authors: Ronurpraful T , Jerop N , Koech A , Thompson K , Noginova N 
Published: September 2020

Abstract
Giant enhancement of photocurrents in plasmonic structures (plasmon drag effect) provides opportunities for compact electric monitoring of plasmonic effects, and thus is promising for plasmonic-based sensing applications. In the experiment, we measure photoinduced electric signals in flat and profile-modulated systems, and test their sensitivity to small changes of the local dielectric environment, such as a presence of Langmuir–Blodgett monolayers at the metal surface. We show that the addition of a stearic acid monolayer leading to a small shift in plasmon resonance conditions can be ultimately resolved with electrical measurements as the switching in the photovoltage polarity.
Pressure induced superconductivity in a CeRhSi3 single crystal—the high pressure study
Authors: Staško Daniel , Valenta Jaroslav , Kratochvílová Marie , Prchal Jiří , Proschek Petr , Klicpera Milan 
Published: September 2020

Abstract
Pressure induced superconductivity in non-centrosymmetric CeRhSi3 and CeIrSi3 compounds has attracted significant attention of the scientific community since its discovery 15 years ago. Up-to-date, all reported experimental results were obtained employing the hybrid-cylinder piston pressure cells with a maximum reachable pressure of 3 GPa. Present study focuses on the superconducting state at higher, so far unreported, pressures using the Bridgman anvil cell and a CeRhSi3 single crystal synthesized by the Sn-true-flux method. The initial increase of superconducting critical temperature from 0.4 K at 1.1 GPa to 1.1 K at 2.4 GPa is followed by a gradual suppression of superconducting state upon increasing the pressure above 3.0 GPa, forming a typical dome. The pressure induced superconductivity is expected to be completely suppressed in the pressure region between 4.5 and 5.0 GPa. Temperature dependence of electrical resistivity in constant magnetic fields and high pressures, as well as the magnetoresistance measurements, reveal a large critical field, exceeding 19 T at 0.6 K and 2.4 GPa, sharply decreasing receding the superconductivity dome. The previously reported T–p and H–T phase diagrams are completed by our high-pressure data and discussed in the frame of previous results.
A Monte Carlo approach to simulate dendritic microstructures during binary alloy solidification
Authors: Pal Prabhakar , Abhishek G S , Karagadde Shyamprasad 
Published: September 2020

Abstract
A Monte Carlo (MC) approach to model the evolution of microstructures during the binary alloy solidification process has been presented. The evolution of these microstructures is comprehensively modelled by ensuring a local minimization of free energy taking into account the contributions of the free energy change during phase transformation, solid-liquid interfacial energy, interfacial energy anisotropy and grain boundary energy, which are some of the ignored aspects of the existing MC models. Further, the effect of imposed orientation is also represented in this model. The proposed method is able to simulate the preferential growth of cubic structures in ⟨100⟩ direction, growth of large number of grains and competition among them, and also incorporates the grain boundary energetics. The model is applied to simulate the growth of free and constrained dendrites, the transition from stable to cellular and dendritic growth under different growth conditions. Growth of multiple grains, the competition during columnar growth, columnar to equiaxed transition by seeding the undercooled melt with solid phase and the impingement of equiaxed grains has also been simulated using this model.
Near-field enhancement in oxidized close gap aluminum dimers
Authors: Simeone Daniela , Tasco Vittorianna , Esposito Marco , Manoccio Mariachiara , Lorenzo Daniela , Scuderi Mario , Luca Antonio De , Cabrini Stefano , Passaseo Adriana , Cuscunà Massimo 
Published: September 2020

Abstract
Aluminum bowtie nanoantennas represent a possibility to confine and enhance electromagnetic (EM) field at optical frequencies in subwavelength regions by using an abundant and inexpensive metal. The native oxidation process of this metal is often viewed as a limitation for its application in plasmonics. Here, we show that in close gap configurations, the high refractive index of the native aluminum oxide helps in squeezing the plasmonic mode in extremely reduced size volumes, providing a higher EM near-field confinement and enhancement in the bowtie antenna gaps than achieved in the pure aluminum counterpart.
Hence, the study provides new perspectives in the use of such a plasmonic antenna geometry within this aluminum system, which can be useful for improving plasmonics-enabled effects such as surface-enhanced Raman scattering- and light–matter interaction in strong coupling regime.
A fully digital bridge towards the realization of the farad from the quantum Hall effect
Authors: Marzano Martina , Ortolano Massimo , D’Elia Vincenzo , Müller André , Callegaro Luca 
Published: September 2020

Abstract
This paper presents the implementation of an electronic fully-digital impedance bridge optimized for RC comparisons with equal impedance magnitudes, together with an evaluation of the uncertainty. This bridge has been designed with the goal of realizing the farad directly from the quantum Hall effect with a bridge uncertainty component at the 10−7 level. Thanks to its simple design, ease of operation and affordability, this bridge is suitable to be industrially manufactured. Together with the increasing availability of graphene quantum Hall resistance standards, this can provide an affordable quantum realization of the unit farad for metrology institutes and calibration centres.
In this paper we present the uncertainty budget of an example measurement and the results of the validation of the bridge against a suitably modified version of the traceability chain of the Italian national standard of capacitance. The combined uncertainty of the bridge resulted from repeated measurements (overall measurement time of about 200 min) is 9.2 × 10−8, suitable for the primary realization of the unit of capacitance from a quantized Hall resistance standard. The crosstalk among the channels of the electrical generator is the most significant uncertainty component, possibly reducible with internal shielding and filtering of the electronic generator.
Numerical analysis of influencing factors on heat storage time of phase change material in an inclination rectangular cavity based on orthogonal method
Authors: Wang Yong , Dai Jingmin , Xiao Peng 
Published: September 2020

Abstract
In this paper, factors affecting the completely melting time of phase change material (PCM) in a rectangular cavity are analyzed. The influence of three factors including inclination angle of the cavity, heating temperature, and geometry of the cavity on completely melting time is discussed under the boundary condition of single size heating and double sizes heating respectively, while other sides are considered to be adiabatic. A two-dimensional mathematical model is established for the simulation analysis and verified by experiments. In order to analyze the influence of all factors on the completely melting time, the orthogonal analysis method is adopted, and the range analysis method is used to determine the influence of three factors on the completely melting time. Based on the orthogonal analysis, it can be found that the heating temperature is the most significant factor during single side heating, while geometry of the cavity is the most important factor during double sides heating. The results will be helpful to optimize the structure of PCM component used for energy storage system or temperature control structure.
Design of 3-D FSS with high selectivity based on ELC resonators and spoof-SPPs
Authors: Xu Bingzheng , Jia Shengli , Zheng Ting 
Published: September 2020

Abstract
The paper proposes a simple band stop frequency selective surface (FSS) design method based on spoof surface plasmon polaritons (spoof-SPPs). The novel FSS design is obtained by combing three-dimension (3-D) FSS and ultra-thin periodic corrugated metallic strip which supports spoof-SPPs. By placing electric-LC (ELC) resonators on the FSS surface at the bottom centre of the corrugated strip, the tight coupling occurs and we show that the SPP modes are rejected near the resonance frequencies of ELC resonators. The steep roll-off at both sides of the stopband can be demonstrated by the ELC resonators, which can find potential applications in wideband antenna radome. In addition, the 3-D FSS shows relatively stable performance with different oblique incidence angles.
Pressure control strategy for high-pressure tubing
Authors: Lin Guanwei , Wang Linhan , Chen Kangrui 
Published: September 2020

Abstract
The entry and ejection of fuel into and out of high-pressure oil tube are the basis of many fuel engines. However, the intermittent working process of fuel entering and exiting will be leading to pressure changes in high-pressure oil tube. Furthermore, it will affect the efficiency of an engine. Therefore, it can be seen important to control high-pressure oil tube effectively. Also, it will be increasing the efficiency of an engine, while having a greatly impact on the development of engine manufacturing and energy industry. This paper is to focus on solving pressure control under high-pressure oil tube. The problems are stable pressure at the inlet of the high-pressure tubing and high-pressure oil tube with no pressure reducing valve and only one nozzle. Regarding the first one, we used the least square method to fit an elastic modulus and pressure data. Then, a differential equation model of pressure and time were set inside high-pressure oil tube. Meanwhile, we also worked on a delayed injection strategy and traversal search algorithm to have results. So, the optimal delayed injection time is 0.23 ms while the one-way valve opening time is 3.06 ms . The maximum offset pressure is about0.3 MPa. The second case which is based on the first case. In order to achieve pressure control, linking the pressure at the inlet of high-pressure oil tube to a cam and using the principle of mass conservation. So, it is stated that the pressure can be stabilized as much as possible when the angular velocity is 0.0275 rad/ms. Finally, we verified the feasibility of the model through simulation analysis.
Optimal allocation in regression models with cost consideration
Authors: Du Yujing 
Published: September 2020

Abstract
In this paper, we discuss the optimal allocation problem in a multi-level experiment when the cost of running the experiment at each level is taken into consideration. An objective function with cost consideration is proposed and the properties of the objective function are discussed. The procedure to the algorithm to obtain the optimal allocation is presented. Numerical examples are used to illustrate the methodology developed here.
Multiple resource allocation for precision marketing
Authors: Zhang Siyu , Liao Peng , Ye Heng-Qing , Zhou Zhili 
Published: September 2020

Abstract
In the precision marketing of a new product, it is a challenge to allocate limited resources to the target customer groups with different characteristics. We presented a framework using distance-based algorithm, K-Nearest-Neighbour, and support vector machine to capture customers’ preference towards promotion channel. Additionally, on-line learning programming was combined with machine learning strategies to fit a dynamic environment, evaluating its performance through a parsimonious model of minimum regret. A resource optimization model was proposed using classification results as input. In particular, we collected data from a loan agency that offers loans to small business merchants. Our sample contained 525,919 customers who will be introduced to a new financial product. By simulating different scenarios between resources and demand, we showed an up to 22.42% increase in the number of expected merchants when K-NN was performed with optimal resource allocation strategy. Our results also show that K-NN is the most stable method to perform classification, and that distance-based algorithm has the most efficient adoption with on-line learning.
Drug trading analysis model based on weight graph, correlation analysis and Leontief function
Authors: Ye Jianmin , Zhang Hui 
Published: September 2020

Abstract
Our paper mainly studies the integrated application of weight graph, correlation coefficient and Leontief function to regional drug trading. To be better understood, we establish our model on the analysis of drug transaction among 5 states in America, including Ohio, Kentucky, West Virginia, Virginia and Pennsylvania. First, we build the weight graph with 5 states as vertexes to calculate the transaction strength of each state with others to predict the drug diffusion trend. And based on equilibrium analysis, we find that only the drug market in Ohio hasn’t reached balanced state, which means the drug sale will increases. Second, we select 13 socio-economic indicators, aiming to use correlation analysis to reflect their influence on drug diffusion. We find that more incomplete households, more population with bad marital status and with low educational attainment probably ascend the drug cases. Third, we apply Leontief function to analysing how the drug production change when the quantity of material, transportation, fixed capital, workforce and demand, 5 main parts in the complete industrial chain are changing. Therefore, it may help to come up with some practical ways of controlling the illegal drug transaction.
Estimation for nearly unit root processes with ARFIMA-GARCH errors
Authors: Chen Lingju , Xie Bihua 
Published: September 2020

Abstract
In this paper, we introduce a nearly unit root processes with ARFIMA(p; d; q)-GARCH(l;m) errors, and establish an asymptotic theorem for the autoregressive coefficient estimation of the proposed model under very mild conditions. It’s shown that the DF-type tests are functionals of the Ornstein-Uhlenbeck process rather than those of standard Brownian motions in the unit root case.
Research on the application of enterprise credit supervision risk evaluation index based on fuzzy matter-element of comprehensive evaluation
Authors: Zhou Li , Yuan Xingyu , Zhao Yan , Jiang Zhou 
Published: September 2020

Abstract
Credit supervision is not only an important institutional arrangement for the construction of social credit system, but also one of the main ways to give full play to the value and role of credit. The risk evaluation of enterprise credit supervision can provide important reference for classified supervision. The research on the risk evaluation model and indicators of enterprise credit supervision is of great significance to improve the scientificity and accuracy of enterprise credit supervision risk evaluation. Through the research and analysis of enterprise credit supervision risk evaluation model and evaluation index, the fuzzy matter-element evaluation model is constructed, and the comprehensive weight of enterprise credit supervision risk evaluation index is calculated by subjective and objective weighting methods respectively, and the main factors affecting the level of enterprise credit supervision risk are analyzed, so as to provide suggestions for enterprises to carry out credit supervision risk evaluation and strengthen credit supervision risk management It provides a scientific reference.
Analysis of the factors affecting the study of college students and the countermeasures taken during the outbreak of COVID-19
Authors: Zhang Yingying 
Published: September 2020

Abstract
This study was focused on understanding the learning effect and influencing factors affecting students at home during the epidemic, better help the college students in improving their learning efficiency, and achieving the state of “no suspension of classes”. At first, we considered the students of science and engineering of Shandong University of management as an example to collect the relevant data through the questionnaire; secondly, with the help of SPSS 23.0 software, factor analysis method is used to obtain three public factors affecting the learning outcomes of students: external interference factor, curriculum factor, and emotional factor. At last, the actual situation of students and the results of the questionnaire have been combined in this paper, which puts forward practical improvement measures from the viewpoint of teachers and students.
Blow-up criterion for the chemotaxis-fluid equations in a 3D unbounded domain with mixed boundary conditions
Authors: Peng Yingping 
Published: September 2020

Abstract
In this paper, we consider a coupled chemotaxis-fluid system in a 3D unbounded domain with mixed boundary conditions. A blow-up criterion for such a system is established by using the proper elliptic estimates and Stokes estimates under some assumptions on the chemotactic sensitivity function.
Pointwise multipliers on the weighted BMOA space
Authors: Ye Shanli 
Published: September 2020

Abstract
Let

D

= {z : |z| < 1} be the unit disk in the complex plane C, Φ :

D

→ C is a analytic map. We study the multiplication operator M

Φ
on the logarithmic weighted BMOA space

B
M
O

A

log

=

{
g
∈
H
(
D
)
:

sup
⁡

a
∈
D

(
log
⁡

2

1
−

|

a

|

2

)

2

∫

D

|

g

′

(
z
)
|

2

(
1
−

|

φ

a

(
z
)
|

2

)

d
m
(
z
)
<
∞
}

. We obtain that a sufficient condition for the operator M

Φ
to be a bounded operator on BMOA
log. We also get that another necessary condition for the operator M

Φ
to be bounded on BMOA
log.
A new method for personnel protection failure evaluation in metro fire with multiscenario coupled three dimensional model
Authors: Wang Chen-Yang , Li Tie , Liu Jian , Zhang Hui 
Published: September 2020

Abstract
With a closed environment and dense population, urban metros are difficult to evacuate quickly in the case of fire, which often leads to serious consequences such as stampedes. To deal with metro fires effectively, this paper presents a three-dimensional model for assessing the failure probability of personnel protection. First, scenario elements of metro fire evolution were selected based on typical cases and traditional performance-based evaluation methods, and a scenario element database was constructed. Second, based on this approach, a three-dimensional evolution model of the metro fire scenario was established to visually express the interaction relationship of each scenario element in plane dimensions. Finally, an evaluation model of the personnel protection failure risk index was constructed by coupling the metro fire, emergency management and trapped personnel, and the failure probability of personnel protection was calculated. This model can evaluate the real-time risk of death in the process of metro fire accidents and provide an important reference for emergency decisions and plan deployment.
The value distributions and uniqueness of q-shift difference polynomials of entire functions
Authors: Luo Libao , Xu Junfeng 
Published: September 2020

Abstract
We first consider the zeros of a big class generalized q-difference polynomials in entire function which come from the Hayman problem. Second, we research about uniqueness result of the class q-difference polynomials in entire function which share a value. Our results improved or generalize the previous known results.
Study on regional characteristics of soybean production in China from a temporal and spatial perspective
Authors: Wang Yu , Xu Shiwei , Zhang Yongen , Yu Wen , Li Jianzheng , Zhou Han 
Published: September 2020

Abstract
Being the country of origin of soybean, China was once the biggest producer of the world, and has become the largest importer by now. Various regions of China are seeing profound changes of soybean production. By analyzing the changes of soybean producing areas in China from 1978 to 2017, this article revealed the characteristics of soybean’s spatial variation in terms of the planting area and yield per unit area in the four decades in China and comprehensively explained the present situation and future potential growth of soybean production in China based on soybean growth characteristics and the resources in various regions. The results show that: (1) Since the Reform and Opening Up, the traditional main producing areas still maintain their principal part but show certain changes of geographical distribution; (2) The regional distribution of soybean production shows an overall trend of “concentrated over vast areas and dispersed in small areas”; (3) The planting areas of soybean are increasing steadily in Heilongjiang, Inner Mongolia, Jilin, He’nan and Anhui, while those are decreasing rapidly in Huang-Huai-Hai area and the southern area.
Study of external electron beam injection into proton driven plasma wakefields for AWAKE Run2
Authors: Verra L. , Gschwendtner E. , Muggli P. 
Published: September 2020

Abstract
We describe an external electron injection scheme for the AWAKE experiment. We use scattering in two foils, that are necessary as vacuum window and laser beam dump, to decrease the betatron function of the incoming electron beam for injection and matching into plasma wakefields driven by a self-modulated proton bunch. We show that, for a total aluminum foil thickness of ~ 280 μm, multiple Coulomb scattering increases the beam emittance by a factor of ~ 10 and decreases the betatron function by a factor of ~ 3. The plasma in the accelerator is created by a ionizing laser pulse, counter-propagating with respect to the electron beam. This allows for the electron bunch to enter the plasma through an “infinitely” sharp vapor-plasma boundary, away from the foils.
Summary of WG2: Ion beams from plasmas
Authors: Lancia L. , Margarone D. 
Published: September 2020

Abstract
Working Group 2 was dedicated to presentations on ion acceleration by laser-plasma interaction. This summary reports some highlights on different topics, grouping the presentations in four different areas of interest for the community: (i) ion acceleration facilities, (ii) target engineering and manipulation, (iii) laser-plasma interaction and diagnostics, and (iv) ion acceleration mechanisms.
First dielectric wakefield experiments at Daresbury Laboratory
Authors: Saveliev Y M , Pacey T H , Jones J K , Xia G 
Published: September 2020

Abstract
The first dielectric wakefield acceleration (DWA) experiments have been conducted at the CLARA/VELA test facility at Daresbury Laboratory, UK. The DWA structures were of planar geometry with variable gap and dielectric thicknesses ranging from 0.025 to 0.2 mm. The facility, in its current state, provided electron bunches with up to 100 pC bunch charge, and variable 0.2-2.0 ps bunch lengths at the beam energy of 35 MeV. All major wakefield effects have been observed including energy modulation in longer bunches, energy dechirping, and transverse streaking and focussing. With a modest bunch charge of ∼ 50 pC, a decelerating field of ~ 8 MV/m was measured. Using this variable gap planar structure, we have also demonstrated generation of continuously tunable narrowband THz. A summary of experimental results and near future developments are presented.
Proposal of a Compact High-Gradient Ka-Band Accelerating Structure for Medical and Industrial Applications
Authors: Faillace L. , Behtouei M. , Dolgashev V.A. , Spataro B. , Torrisi G. , Variola A. 
Published: September 2020

Abstract
Technological advancements are strongly required to fulfil demands for new accelerators devices from the compact or portable devices for radiotherapy to mobile cargo inspections and security, biology, energy and environmental applications, and ultimately for the next generation of colliders. New manufacturing techniques for hard-copper structures are being investigated in order to determine the maximum sustainable gradients around 150 MV/m and extremely low probability of RF breakdown. In this paper, the initial studies on the RF and mechanical design for a compact Ka-Band accelerating structure are presented as well as preliminary beam dynamics estimations.