bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of ultrathin superconducting FeSe nanowires on SrTiO3 substrates
Authors: Liu Jianhua , Cui Wenqiang , Wang Heng , Zhao Dapeng , Zuo Binjie , Zhu Yuying , Liu Xueyuan , Zhang Zhen , Sun Bing , Wang Lili , Chang Hudong , He Ke , Xue Qi-Kun , Liu Honggang 
Published: March 2022

Abstract
Superconducting quantum devices, due to their ultra-low power consumption, high sensitivity and high speed, have attracted great attention in recent years and put forward higher requirements for fabrication technology. Here, we report on the first superconducting ultrathin FeSe nanowires on SrTiO3 substrates successfully fabricated by electron beam lithography and Ar plasma ion beam etching. As the superconductivity of the molecular beam epitaxial ultrathin FeSe film is highly susceptible by moisture and oxygen, FeTe layers were deposited for protection. We synthesized a superconducting ∼300 nm wide, ∼1.1 nm thick ultrathin FeSe nanowire with

T

C

Zero

≈
5

K

(the critical temperature of zero resistance), as revealed by electrical transport measurements. The proper synthesis conditions of the high-quality ultrathin superconducting FeSe nanowires on SrTiO3 substrates are evaluated by analyzing the morphology and physical properties of the ∼300 nm width ultrathin FeSe nanowire. Our work may pave the way for future applications of air-sensitive iron-based superconducting films.
Mode-selective single-photon addition to a multimode quantum field
Authors: Roeland Ganaël , Kaali Srinivasan , Roman Rodriguez Victor , Treps Nicolas , Parigi Valentina 
Published: March 2022

Abstract
Spectro-temporal modes of light can be exploited for the generation of high-dimensional Gaussian quantum states. Such states are at the basis of continuous variable quantum information protocols where they have to support mode-selective non-Gaussian operations. We develop a general framework for single-photon addition on multimode states of light via parametric down conversion (PDC) processes. We identify the analytical conditions for single-mode and mode-selective photon addition. We show that spectral mode selectivity can be achieved in the type-II collinear down conversion, while single-mode condition are retrieved for noncollinear type-I and type-II processes. Numerical results are shown for photon addition in PDC process at near-infrared and telecommunications wavelengths.
Impact of SM parameters and of the vacua of the Higgs potential in gravitational waves detection
Authors: Freitas Felipe F. , Lourenço Gabriel , Morais António P. , Nunes André , Olívia João , Pasechnik Roman , Santos Rui , Viana João 
Published: March 2022

Abstract
In this work we discuss two different phases of a complex
singlet extension of the Standard Model (SM) together with an
extension that also includes new fermion fields, in particular, a
Majoron model equipped with an inverse seesaw mechanism. All
considered scenarios contain a global U(1) symmetry and
allow for first-order phase transitions while only two of them are
strong enough to favour the detection of primordial gravitational
waves (GWs) in planned experiments such as LISA. In particular, this
is shown to be possible in the singlet extension with a non
vanishing real VEV at zero temperature and also in the model with
extra fermions. In the singlet extension with no additional
fermions, the detection of GWs strongly depends on the
U(1) symmetry breaking pattern of the scalar potential at
zero temperature. We study for the first time the impact of the
precision in the determination of the SM parameters on the strength
of the GWs spectrum. It turns out that the variation of the SM
parameters such as the Higgs boson mass and top quark Yukawa
coupling in their allowed experimental ranges has a notable impact
on GWs detectability prospects.
Quantum algorithm for solving matrix equations of the form AX = B
Authors: Xu Li , Liu Xiao-qi , Liang Jin-min , Wang Jing , Li Ming , Shen Shu-qian 
Published: March 2022

Abstract
Solving linear systems of equations is of vital importance in various fields of science. With the scale of calculation soaring, classical computers are intractable, and the advantage of quantum computing is reflected. Quantum algorithm has exponential acceleration in solving the linear systems

A

x
⃗

=

b
⃗

for sparse and well-conditioned coefficient matrix A with dimension N × N. In this paper, we present a quantum algorithm to solve matrix equations of the form AX = B, where

X
=
(

x
⃗

1

,

x
⃗

2

,

…

,

x
⃗

n

)
,
B
=
(

b
⃗

1

,

b
⃗

2

,

…

,

b
⃗

n

)
,

x
⃗

k

and

b
⃗

k

are unit vectors. The problem can be intuitively treated as solving n linear systems simultaneously, which will needs

O
(
n
log
N
)

complexity by the famous HHL algorithm. We demonstrate that in our algorithm the scale of complexity is

O
(
log

n
N

)

. In the error analysis part, phase estimation is discussed in details.
Study on Microstructure Evolution of Ultrafine Crystallization of TA2 Industrial Pure Titanium
Authors: Yang Yu 
Published: March 2022

Abstract
Abstracts: The ultra-fine crystallization of industrial pure titanium allows it to have higher tensile strength, corrosion resistance and thermal stability. So it is extensively applied to medical equipment, aerospace, aircraft and passenger car manufacturing and other fields. In this paper, the multi-pass, medium-small thinning spinning process of TA2 industrial pure titanium was carried out to make ultra-fine crystallization of industrial pure titanium. The study analyzes the evolution of its surface micro-structure by optical means. The analysis outcomes indicate that the processing method of first strong spinning and then ordinary spinning can increase the grain refinement of the blank.
Design of water surface collection robot based on deep sea cage culture
Authors: Liang Yicha , Liu Can , He Taihua , Wang Lin , Luo Yingtong , Hou Mingxin 
Published: March 2022

Abstract
At present, the collection of floating garbage such as dead fish in deep and far sea cage culture waters mainly depends on manpower, which is not only difficult and inefficient, but also has great potential safety hazards. In order to solve the above problems, a water surface collection robot based on marine cage culture is designed and developed. The dead fish on the water surface are collected through the joint action of propeller and forearm drainage and retraction device. At the same time, the relevant performance indexes of the designed water surface collection robot are verified by making the prototype and water surface collection experiments, which meets the needs of simple and efficient collection and cleaning of dead fish in deep and open sea cage culture, so as to provide a reference basis for the practical application of the collection robot.
EMI Shielding Performance of Reduced Graphene Oxide/PES-C Composite Film with Sandwich Structure
Authors: Wang Haidong , Li Wei , Li Jiaying , Qiu Wenwen , Pang Daming , Xing Yi , Tong Xingyu 
Published: March 2022

Abstract
In this paper, a reliable and convenient hot-pressing method has been utilized to produce reduced graphene oxide (RGO)/PES-C composite film with sandwich structure, which possesses excellent electromagnetic interference shielding performance of an average electromagnetic shielding effectiveness value of 37.96 dB in the X-band. The gas-liquid interfacial self-assembly method was used to prepare graphene oxide films and the films were then reduced by the combination of hydroiodic acid and microwave irradiation to obtain microwave-assistant hydroiodic acid reduced graphene oxide (MA-HIA-RGO) films. Finally, the MA-HIA-RGO and PES-C films were compounded together to obtain the sandwich structure. The influence of the reduction method on the electromagnetic interference shielding performance of the composite film was discussed. Compared with the traditional method of uniformly scattering graphene into the resin, this method does not require complicated procedures and demanding conditions to prevent the agglomeration of graphene.
Depolymerization for polymers with heteroatom-containing main chain: mechanism and applications
Authors: Song Di , Wang Yuqi , Yip Ching-Fai , Zuo Quan 
Published: March 2022

Abstract
With the flourishment of the polymer industry, many polymers have been produced and used. However, it has been acerbically criticized that most of the polymers, such as polyolefins, polyesters, cannot be naturally degraded or depolymerized, leading to polymer waste, which has exacerbated the growing global contamination. Therefore, it is essential to research and ameliorate depolymerization methods to diminish the polymer waste and recycle them. This article reviews a series of novel depolymerization methods in recent years, including pyrolysis, ionic liquids, hydrolysis, and biological methods, aiming to depolymerize the waste polymer with heteroatom-containing main chain, such as poly (ethylene terephthalate), polyamides, polyesters. The mechanisms and applications of these depolymerization methods are highlighted. Although traditional pyrolysis methods have relatively low yield, selectivity, and harsh conditions, some catalytical pyrolysis methods have better selectivity, energy consumption, etc. Besides, due to the good recyclability of ionic liquids, an excellent yield of monomers, and relatively moderate conditions, ionic liquids have been widely used in depolymerizing the polymers with heteroatom-containing main chain, which are processing a stepwise ionic depolymerization mechanism. Moreover, because water is economical and environmentally friendly, depolymerization via hydrolysis is also worthy of research. Finally, some biological methods are prevailing because of their high selectivity, high efficiency, and mild conditions, although the mechanisms are still obscure that there have been only a few uniform theories, such as oxidizing-degrading mechanism, hydrolysis mechanism.
Preparation and applications of linear low-density polyethylene
Authors: An Meiru , Cui Binran , Duan Xintong 
Published: March 2022

Abstract
Linear low-density polyethylene (LLDPE) is widely used in many fields like packaging and film due to its chemical resistance and high tensile strength. This review mainly introduces the preparations and applications of LLDPEs produced by Ziegler-Natta catalyst, metallocene-based catalyst, and late transition metal catalyst, respectively. The improved mechanical and conductivity properties of LLDPE by Ziegler-Natta catalysts, higher activity of the metallocene-based catalysts and high performance of LLDPE directly produced by late transition metal were highlighted. The enhancement of the resistance, flexibility, transparency properties, and yield is achieved using those catalysts and mild conditions. This also leads to more applications in electrical, medical, and surgical areas and can reach an industrial scale.
Research on Assembly Scheduling of Complex Electromechanical Products Based on Improved Particle Swarm Optimization
Authors: Wang Zhenhua , Chen Youling 
Published: March 2022

Abstract
The assembly shop production scheduling of complex electromechanical products is a typical discrete variable NP-hard problem. In order to solve the assembly job scheduling problem of a large transformer assembly shop, an improved particle swarm algorithm is used to solve the optimal assembly task scheduling result. In order to minimize the maximum completion time, the traditional particle swarm optimization (PSO) algorithm was improved according to the characteristics of large transformer assembly process. First, the two-stage coding method of process and assembly team is adopted. Then, in order to improve the quality of the initial solution, the initialization method that minimizes the completion time is selected, and the adaptive inertia weight optimization speed update formula is adopted. Finally, the simulation study is carried out with relevant example data. Compared with the traditional PSO, the maximum completion time and convergence speed are significantly improved, which verifies the effectiveness of the improved PSO, and obtains the production scheduling Gantt chart of the workshop.
Three fixture synchronizations of crane based on OpenCV
Authors: Deng Yujie , Liu Junyu , You Haonan 
Published: March 2022

Abstract
Nowadays, under the general trend of logistics development, mechanization and intelligent technology presents a highly integrated trend of mechanical engineering to play the maximum value of intelligent technology to do a good job in the industry, technology research. Traditional lifting equipment can not realize automatic operation and independent identification. To solve the above problems, this project designs a lifting equipment with the characteristics of automatic operation, independent identification, and synchronous engineering. In warehousing and logistics, especially in the case of complicated routes, complex varieties and numerous quantities, the cranes of our project team can achieve greater benefits in terms of time and economic benefits, and the use of this lifting equipment can efficiently complete the operation and ensure the quality of the operation.
Three-clamp automatic identification of logistics trolley based on 3D printing optical axis movement
Authors: You Haonan , Liu Junyu 
Published: March 2022

Abstract
With the development of science and technology, the 21st century has entered the era of automation. In the machinery, automobile, logistics and other industries, the demand for automatic handling vehicles is gradually increasing, and more and more companies need new warehousing and logistics vehicles. Based on the principle of 3D printer optical axis movement, this project team designed a warehousing logistics transportation machine. The logistics trolley adopts machine vision, which can recognize the representations of different colors and different shapes, and realize the grasping and transportation of designated objects. At the same time, the machine uses infrared sensors to automatically track and perform operations throughout the entire process without any manual operation. The logistics trolley is composed of a traveling mechanism, a clamp grasping mechanism, a clamp moving mechanism, and a storage mechanism. The weight of the whole machine is less than 15kg, which realizes the lightweight of the trolley.
Modeling and Simulation of the NC Feed System based on MATLAB / Simulink
Authors: Zhang Jihong 
Published: March 2022

Abstract
Feed servo system often adopts the CNC system with the digital controller as the core. In such a computer control system, it involves both continuous signal processing and digital signal processing.The numerical control machine tool feed sampling control system is a more complex electromechanical control system, and has nonlinear characteristics, the mathematical model established is a higher-order model, through the simplified transfer to the second-order system model, to facilitate computer simulation operation, so that the numerical control machine tool static performance and dynamic performance parameters to meet the design requirements.
Research on Algorithm Based on Improved PID Controller
Authors: Wu Gang , Wu Wanqiang 
Published: March 2022

Abstract
In order to solve the problem of noise and lag in the control system, which can not make the balance vehicle reach a fast and stable state, an improved PID closed-loop controller is proposed. The piecewise function is added to the closed-loop controller to weaken the integral, and the integral link is weakened in different states to make the system reach a stable state. The data collected by the sensor is processed, and the balance system reaches the steady state through Kalman filtering algorithm. The simulation results show that the improved PID control algorithm can effectively reduce the lag effect. At the same time, the environmental noise can be removed after Kalman filter processing, so that the balance car can reduce the jitter time and achieve stability quickly.
Production line workforce scheduling optimization considering noise exposure risk
Authors: Zhou Jian , Zhao Hongru 
Published: March 2022

Abstract
The Industrial noise is one of the main ergonomic risks in today's production activities and has a serious impact on human health in the workplace. The EWSP optimization model established for industrial noise problems solves some of the corresponding case problems, but for the more general problems, the model does not properly represent the constraints of the number of personnel and skills. In this paper, the EWSP model is constructed to balance the noise exposure risk of the whole production line personnel with the constraints of the number of workstation personnel, personnel skills and production line output, and an improved immune simulated annealing algorithm is adopted. Finally, the model and algorithm mentioned are applied to a production line. Results show that the proposed model and algorithm can effectively find the optimal solution of such scheduling problems.
Design of energy consumption simulation model and development of support platform based on energy supply system
Authors: Zhou Ying , Zheng Libin , Zhao Meng 
Published: March 2022

Abstract
The energy Internet system absorbs a large number of distributed energy collection and storage devices, integrates energy production, transmission and consumption, meets various energy needs such as electricity, cold, heat and gas in the system, makes efficient use of various grades of energy, realizes the efficient utilization of energy and the compatibility of renewable energy, and reduces the system risk of energy. At present, the lack of theoretical research on energy consumption model leads to a certain blindness in the development of energy conservation. Strengthening energy consumption benchmarking management is helpful to quantitatively analyze energy consumption parameters. However, it is difficult to form systematic research on energy consumption and tap the energy-saving potential within the system only based on benchmarking management. Through the research of this paper, the energy consumption data information of energy consumption system can be processed, analyzed and optimized efficiently, the key energy consumption influencing factors can be extracted, the mathematical model can be built, the model base can be provided for the energy consumption analysis of typical energy consumption system, and the general energy consumption evaluation and energy-saving diagnosis tools and systems can be developed as the information processing tools and credentials of energy-saving diagnosis data, Provide scientific guidance for the rational application of power grid energy-saving technology and equipment, and effectively promote the improvement of power grid energy efficiency.
An Automatic Magnetic Domain Characterization Method by Intelligent Algorithms assisted Kerr microscopy
Authors: Si Zhizhong , Zhang Tianhao , Niu Jianteng , Zhen Wenhui , Lin Xiaoyang 
Published: March 2022

Abstract
Kerr Microscopy can provide intuitive images of the magnetic materials with certain spatial resolutions and have been wildly used in the magnetic material characterizations. However, the analysis of the Kerr image is a time-consuming and experience-depended job. Here, we provide an intelligent algorithm assisted Kerr microscopy method for static and dynamic magnetic material characterizations. This method can significantly increase the research efficiency by saving unnecessary time consumption for experts. We hope this work can inspire the exploration for further researches and applications of magnetic material.
Satellite-relayed intercontinental quantum network
Authors: Xue Yao 
Published: March 2022

Abstract
In recent years, with the development of long-distance communication, the encryption method has become one of the crucial topics. Quantum communication, with the advantage of no-cloning theorem, is far more secure than traditional communication and could be a key method in encrypted communication. In this paper, we simulate the whole process of quantum encryption, we simulate the satellite-relayed quantum key distribution, the transmission of encrypted information, and the decoding of the received message, meanwhile using Hamming code error correction method to reduce the noise. During the simulation, we successfully realize the transmission of an encrypted picture and efficiently reduce the noise associated with it. In conclusion, our thesis shows that quantum communication could be an ideal method to realize encrypted communication. However, our thesis is only based on the simulation of the satellite-relayed quantum network and the channel noise still destroys some part of the decoded picture, thus more practical testing should be done to confirm this theory and some advanced methods should be used to reduce the channel noise.
Developing a protocol for 90Y bremsstrahlung imaging after Transarterial Radioembolization
Authors: Talebi A.S. , Rajabi H. 
Published: March 2022

Abstract
Yttrium-90 (90Y) is an almost pure beta emitter used in Transarterial Radioembolization (TARE). Post-TARE 90Y bremsstrahlung imaging is employed for quantification of the delivered dose. 90Y bremsstrahlung imaging is the most challenging issue in nuclear medicine because of the low photon yield, the continuous and non-pronounced peak of the bremsstrahlung spectrum. GATE Monte Carlo code was employed to find the most proper imaging protocol for 90Y bremsstrahlung imaging. Images were acquired using Medium-Energy Medium-Resolution (MEMR) and High-Energy Medium-Resolution (HEMR) in nine energy windows widths (50 to 500 keV). The quality of images was evaluated using contrast, resolution, sensitivity, Signal-to-Background Ratio (SBR), percentage of total counts in useful field of view, and Contrast-to-Noise Ratio (CNR). The HEMR collimator performed better than the MEMR collimator on all imaging criteria except for the sensitivity. The CNR values were equal in both collimators. Based on the measured parameters, images acquired by the HEMR collimator with the energy window of 50–200 keV are the best protocol for 90Y bremsstrahlung imaging. The findings in this study suggest the imaging protocol for 90Y bremsstrahlung imaging that can be practically used in the clinic.