bluuebunny/crossref_metadata_2025_split huggingface dataset:
Upconversion, MRI imaging and optical trapping studies of silver nanoparticle decorated multifunctional NaGdF4:Yb,Er nanocomposite
Authors: Yamini S , Gunaseelan M , Gangadharan Ajithkumar , Lopez Silverio A , Martirosyan Karen S , Girigoswami Agnishwar , Roy Basudev , Manonmani J , Jayaraman Senthilselvan 
Published: November 2021

Abstract
The multifunctional upconversion nanoparticles (UCNPs) are fascinating tool for biological applications. In the present work, photon upconverting NaGdF4:Yb,Er and Ag nanoparticles decorated NaGdF4:Yb,Er (NaGdF4:Yb,Er@Ag) nanoparticles were prepared using a simple polyol process. Rietveld refinement was performed for detailed crystal structural and phase fraction analysis. The morphology of the NaGdF4:Yb,Er@Ag was examined using high-resolution transmission electron microscope, which reveals silver nanoparticles of 8 nm in size were decorated over spherical shaped NaGdF4:Yb,Er nanoparticles with a mean particle size of 90 nm. The chemical compositions were confirmed by EDAX and inductively coupled plasma-optical emission spectrometry analyses. The upconversion luminescence (UCL) of NaGdF4:Yb,Er at 980 nm excitation showed an intense red emission. After incorporating the silver nanoparticles, the UCL intensity decreased due to weak scattering and surface plasmon resonance effect. The VSM magnetic measurement indicates both the UCNPs possess paramagnetic behaviour. The NaGdF4:Yb,Er@Ag showed computed tomography imaging. Magnetic resonance imaging study exhibited better T1 weighted relaxivity in the NaGdF4:Yb,Er than the commercial Gd-DOTA. For the first time, the optical trapping was successfully demonstrated for the upconversion NaGdF4:Yb,Er nanoparticle at near-infrared 980 nm light using an optical tweezer setup. The optically trapped UCNP possessing paramagnetic property exhibited a good optical trapping stiffness. The UCL of trapped single UCNP is recorded to explore the effect of the silver nanoparticles. The multifunctional properties for the NaGdF4:Yb,Er@Ag nanoparticle are demonstrated.
Collision of two coins on a horizontal surface
Authors: Cross Rod 
Published: November 2021

Abstract
Oblique angle collisions of two penny coins on a smooth, horizontal surface were filmed with a video camera to investigate the physics of the collision process. If one of the coins is initially at rest, then the two coins emerge approximately at right angles, as commonly observed in billiard ball collisions and in puck collisions on an air table. The coins actually emerged at an angle less than 90 degrees due to friction between the coins, which also resulted in both coins rotating after the collision. At glancing angles, the friction force was due to sliding friction. At other angles of incidence the coins gripped each other and the friction force was then due to static friction.
Tungsten fiber reinforced tungsten (Wf/W) using yarn based textile preforms
Authors: Coenen J W , Huber P , Lau A , Raumann L , Schwalenberg D , Mao Y , Riesch J , Terra A , Linsmeier Ch , Neu R 
Published: November 2021

Abstract
Material related limitations are one of the main challenges for the design of future fusion reactors. Tungsten (W) as the primary material choice is considered resilient against erosion, has the highest melting point of any metal and shows low activation after neutron irradiation. However, W is intrinsically brittle and faces operational embrittlement. To overcome these issues, W-based composites have been in development. W fiber-reinforced W composite materials (W
f
/W) incorporate extrinsic toughening mechanisms allowing the redistribution of stress peaks and thus overcoming the intrinsic brittleness problem. In this contribution recent results on the incorporation of new textile preformes into W
f
/W production will be given with a focus on the production via chemical vapor deposition of tungsten-based materials. The use of tungsten yarns, instead of single wires for the textile production is elaborated.
Analysis of TESS Field Eclipsing Binary Star V948 Her: A Pulsating or Non-pulsating Star?
Authors: Kahraman Aliçavuş F , Ekinci Ö 
Published: November 2021

Abstract
Pulsating stars occupy a significant place in the H-R diagram and it was thought that all stars inside the classical instability strip should pulsate. However, recent studies showed that there are many non-pulsating stars located inside the classical instability strip. The existence of these non-pulsating stars is still a mystery. To deeply understand the properties of these non-pulsating and pulsating stars, one needs precise fundamental stellar parameters (e.g. mass). For this purpose, the eclipsing binaries are unique systems. Hence, in this study, we present the TESS data analysis of one candidate pulsating eclipsing binary system, V948 Her. TESS data were used for the binary modeling with the literature radial velocity measurements, and the precise fundamental parameters of the system were obtained. The system’s age was derived as 1 ± 0.24 Gyr. The positions of the binary components in the H-R diagram were examined and the primary component was found inside the δ Scuti instability strip. However, in the frequency analysis of TESS data, we found no significant pulsation frequencies. Only the harmonics of the orbital periods were obtained in the analysis. Therefore, the system was classified as a non-pulsator. V948 Her is an important object to understand the nature of non-pulsating stars inside the δ Scuti instability strip.
About calculation of the ground-state energy of the helium atom
Authors: Baklanov E V , Pokasov P V , Taichenachev A V 
Published: November 2021

Abstract
Two versions of the numerical calculation of the ground state energy of the helium atom are compared. First, the nonrelativistic Schrödinger equation with a fixed nucleus is solved, and then the perturbation theory is used. Another version solves this problem exactly. Comparison shows that the difference between the calculation results is 94 kHz.
Forced mode locking in a semiconductor laser
Authors: Zakharyash V F , Klement’ev V M , Titov E A 
Published: November 2021

Abstract
A brief description of the theory of mode locking of a semiconductor laser when the modulating generator frequency is close to the intermode frequency is given. It is shown that during mode locking there is phase locking, due to which the dispersion of summed intensity in the interpulse interval tends to zero.
Spectroscopic properties of CrOx/Al2O3 nanopowders synthesized by cw CO2 laser vaporization
Authors: Baronskiy M G , Kostyukov A I , Snytnikov V N 
Published: November 2021

Abstract
Nanosized 5.0 wt% Cr/nano-Al2O3 powders with the particle size of ca. 15 nm were synthesized via laser vaporization using irradiation by a cw CO2 laser in different gas atmospheres – Ar, Ar+O2, Ar+H2. All the investigated nanopowders were studied by XRF, XRD, TEM, UV-vis DRS and PL spectroscopy methods. The nanopowders were found to contain the Cr6+ ions located on the surface of Al2O3 nanoparticles and two types of Cr3+ sites. One type is Cr3+ ions located in the bulk (Cr3+
b-sites) of Al2O3 matrix in a strong crystal field. The second type is represented by Cr3+ sites residing near the surface (Cr3+
s-sites) of CrOx/Al2O3 nanoparticles in a weak crystal field. It was shown that varying the composition of the buffer gas (Ar, Ar+O2, Ar+H2) during laser vaporization makes it possible to control the properties of the obtained 5.0 wt% Cr/nano-Al2O3 nanopowders with a change in Cr6+/Cr3+ ratio in the bulk and on the surface of alumina support.
Study of Ne:He Plasma of a Periodically Pulsed Discharge for Optically Pumped Rare Gas Laser
Authors: Torbin A P , Chernyshov A K , Svistun M I , Mikheyev P A 
Published: November 2021

Abstract
Optically pumped rare gas lasers (OPRGL) suggested recently as a chemically inert analog of diode-pumped alkali lasers are under extensive study at present. OPRGLs employ metastable atoms of heavier rare gases (Rg*) in He bath produced in discharge plasma. Ar* OPRGL is the most popular system at present, due to presence of a narrow band diode pump and abundance of Ar. However, Ne* OPRGL is interesting due to its visible lasing wavelength at 703.2 nm nm and presence of channels of energy transfer in Ne-He plasma that facilitate Ne* production. We present the first results of experiments with Ne* OPRGL that include Ne* number density in its active medium, and lasing experiments to determine pumping threshold for s5 → p9 transition in a transverse pumping configuration using a narrow band pulsed dye laser as a pump.
The Explicit Formulae of the Determinants of Specific Pentadiagonal Toeplitz Hessenberg Matrices
Authors: Feng Jishe , Fan Hongtao 
Published: November 2021

Abstract
The pentadiagonal Toeplitz matrix is a special kind of sparse matrix widely used in linear algebra, combinatorics, computational mathematics, and has been attracted much attention. We use the determinants of two specific Hessenberg matrices to represent the recurrence relations to prove two explicit formulae to evaluate the determinants of specific pentadiagonal Toeplitz matrices proposed in a recent paper [3]. Further, four new results are established.
Numerical Simulation of Oil-Water Flow Velocity Field and Flow Pattern in Horizontal Wells and Near Horizontal Wells
Authors: Ma Yingying , Song Hongwei , Zhao Changqi , Wei Ran , Sun Lihuizi 
Published: November 2021

Abstract
Oil-water flow widely exists in oilfield development. Due to the gravity differentiation, the oil-water flow in low-flow horizontal wells has a clear characteristics of stratified flow. With the increase of flow rate, the stratified characteristics are not obvious, which leads to the difficulty of multiphase flow phase separation flow interpretation in oilfield. In this paper, the oil-water flow in horizontal wells is taken as the research object. The VOF model of Fluent software is used to study the relationship between velocity field and flow pattern distribution characteristics with water cut, well deviation angle and total flow. The results show that with the increase of water cut, the oil-water separation level gradually moves up, and the velocity of water phase is greater than that of oil phase. When the well deviation angle changes slightly, the flow stratification of oil-water changes sharply, and the flow velocity in the pipeline also changes. When the total flow rate is lower than 200 m3/d, the oil-water phases have obvious stratified flow characteristics. With the increase of flow rate, the oil-water interface fluctuates. The average velocity of oil and water is not much different.
Analysis and Application of Salop Model under Network Effect
Authors: Tong Qian 
Published: November 2021

Abstract
Based on Salop’s ring city model, this paper applies the mathematical model to solve the problem of benefit game about Bertrand competition under the environment of network effect. The equilibrium solutions for both players are given in this paper, and the equilibrium solution of Salop’s ring city model depends on the effect of network externalities. The magnitude of network externalities determines the changes in welfare.
Optimization for Far-distance Cooperative Rendezvous with Multiple Direction-fixed Thrusts
Authors: Ren Fei 
Published: November 2021

Abstract
The continuous-thrust far-distance cooperative rendezvous problem between two spacecraft is investigated. The indirect optimization method, based on Pontryagin’s maximum principle (PMP), is applied to optimize fuel consumption. To overcome the difficulty in nonsmooth integration caused by the bang-bang control, the homotopy method is adopted to solve the fuel-optimal problem from a related energy-optimal problem. The quantum-behaved particle swarm optimization (QPSO) algorithm is used to obtain the energy-optimal solutions. The energy-optimal solutions are used as the initial values for the homotopic procedure to obtain the fuel-optimal solutions and optimal bang-bang control law. A hybrid algorithm combined homotopy method and sequential quadratic programming (SQP) algorithm is proposed. This hybrid algorithm can effectively obtain feasible optimal solutions even though the indirect optimization method exhibits a narrow convergence domain. Simulations of high-thrust and low-thrust rendezvous problems are provided and the proposed hybrid algorithm is verified. Moreover, the necessity of radial thrust is investigated.
Research on Acoustic Transfer Performance of Power Cabin of Underwater Craft
Authors: Li Hanqin , Fang Bin , Zhang Yongming 
Published: November 2021

Abstract
In order to study the acoustic performance of underwater vehicle including vibration and noise, two kinds of structure models of an underwater craft cabin in the air medium and in the water medium were analyzed separately by finite element method. Through modal analysis, the impedance ratios of the two kinds of models were calculated. The influence of the thickness of the pressure hull on the impedance ratio of the structure was studied, and the acoustic transfer performance was analyzed and compared between the two kinds of models.
Modeling and Simulation of Single Battery Load Isolated Electric Vehicle Based on Simulink
Authors: Liu Benchao 
Published: November 2021

Abstract
The load isolation electric vehicle improves the range of electric vehicle, which separates the concept of power and energy, so that the engine can always work in the most economical operating area. Based on Simulink, a single battery load isolation electric vehicle model is established for a mini car. According to the requirements of vehicle performance indexes, the parameters of vehicle system model, gasoline generator set, battery pack and motor model were matched. In the process of accelerating the average speed to the set maximum speed, the battery voltage curve and the motor output power are analyzed. The analysis shows that the battery has no overvoltage danger and the motor does not exceed the peak power, thus verifying the feasibility and superiority of the model.
Research on Soft Sensor Modeling Method and Its Application in Wastewater Treatment
Authors: Li Mingzhu , Zhang Shouxing , Chen Yuanyuan 
Published: November 2021

Abstract
In order to solve the problem of real-time monitoring of water quality index which is difficult to measure in the process of wastewater treatment, a dynamic modeling method of soft sensor based on the VIP (Variable Importance in Projection) and JIT (Just-in-Time) methods was proposed. Firstly, the important variables were selected by the VIP method, and then the data were updated by the JIT method. Finally, the soft sensing model of PLS (partial least squares) was established. The model was used to predict BOD5 which was an important water quality parameter in the process of wastewater treatment. The simulation results indicate that the proposed model achieves better mean square error and correlation coefficient.
Modeling Simulation and Maintenance Strategy Optimization of Multi-component System
Authors: Ma Yujun , Zhou Yan 
Published: November 2021

AbstractAs the system tends to be complicated and refined, the probability and cost of failure also increase. In the actual operation and production, the system will be affected by various factors such as temperature, humidity and other factors to change their original working environment, which will have greater impact on the reliability of the system. Based on the reliability theory, this paper mainly studies thek-out-of-n: Fsystem, constructs the reliability model of the system in dynamic environment, gives the simulation algorithm of the system reliability. Finally, this paper puts forward two maintenance strategies which are optimized to achieve the purpose of minimizing the long-term average cost during system operation.
Cross-platform Simulation of Bipolar Junction Transistor Electrical Principle
Authors: Wu Hongjun , Yin Bangzheng , Chen Zetao 
Published: November 2021

Abstract
This paper designs a set of simulation method about bipolar junction transistor (short for ‘BJT’) electrical principle, which can be used as the foundation of cross-platform simulation of semiconductor electronic technology. Firstly, a mathematical model is established to simulate the amplification effect of bipolar junction transistor current control, the influence of Base current and Collector-Emitter Voltage on the working area of bipolar junction transistor. Secondly, interactive multimedia such as graphics, images and animation are used for simulation presentation through cross-platform software design method which is the mainstream internet web page interaction technology. Finally, a logic structure of the whole simulation software is designed, which presents data transmission, control workflow, relationship between each class and each layer in the simulation software.
Research and Modeling Electronic Data Tracing Scheme Based on Blockchain
Authors: Jiang Zhengtao , Chen Yi , Liu Zheng , Chen Hao , Zhang Jianhong , Zhu Yanchao 
Published: November 2021

Abstract
From the point of view that the traditional electronic data (documents in image, PDF, etc) is difficult to track and trace, taking image copyright as an example, this paper studies a new scheme to solve the problem of replication detection and traceability based on blockchain. With the decentralization and trust removing of blockchain, both copyright storage and evidence of infringement are stored in a tamper proof and transparent way. Based on the judgment of image similarity, a “resource reverse tracing strategy” is designed to control the infringement timely. The infringement evidence can reach the creator quickly, which provides convenience for the creator’s rights protection. This method changes traditional tracing methods of image copyright. Also, it can be applied to the tracing problem of reuse of electronic invoice, short video, music, etc, and brings new ideas for the related problem.
Modeling Analysis and Comparision of Neural Network Simulation Based on ECM and LSTM
Authors: Duan Lingyun , Liu Ziyuan , Yu Wen , Chen Wei , Jin Dongyan , Li Denghua , Sun Suhua , Dai Ruixi 
Published: November 2021

Abstract
Comparing the prediction effects of traditional econometric algorithm model and deep learning algorithm model, taking regional GDP as an example, two prediction models of ARMA-ECM and LSTM-SVR are established for prediction, and the prediction results of different models are compared and analyzed. The results show that there are some deviations in the prediction results of the two models, but the prediction trends are the same. The prediction accuracy of LSTM-SVR model will decrease significantly with the reduction of time series data samples, while ARMA-ECM model is not so sensitive.
Periodic Solution of A Delayed Intraguild Predation Impulsive System with Strong Allee Effect
Authors: Ai Jiao , Wang Kaihua 
Published: November 2021

Abstract
With periodic coefficients and strong Allee effects, we establish a delayed intraguild predation impulsive model. We obtain a set of sufficient conditions for the existence of positive periodic solution of the model using Mawhin’s continuation theorem and analysis techniques. Finally, we identify the effectiveness of the theoretical results through some numerical simulations.
Study of Helium Cooled Fast Reactor Core Design Fuelled by Thorium Carbide-Uranium Carbide with Modified Candle Axial Direction Scheme
Authors: Su’ud Z , Galih N R , Ariani M 
Published: November 2021

Abstract
Human need of energy will increase time to time. Therefore, a safe, renewable, and efficient source of energy, which is Nuclear Energy, is needed. Nuclear Power Plant (NPP) is the most compatible solution to provide electricity to human race in the future. The problem that came within NPP is the danger of proliferation issues. The method that has been developed to overcome this problem is CANDLE [5] and has been modified by Prof. Zaki Su’ud (Modified CANDLE scheme). This research use Axial Modified CANDLE Scheme to Helium-Cooled Fast Reactor with Natural Uranium Carbide-Thorium Carbide as fuel and applied to various size of core as optimization. Neutronic aspect such as, burn up level, multiplication factor, and conversion ratio are utilized in this paper in order to analyse the behaviour of the reactor. Other than that, percentage of Uranium has been varied to reduce power peaking. The neutronic calculation has been done using SRAC and core design calculation by FI-ITB-CH1. This research concludes that power peaking reduction is able to achieve by combining Uranium Carbide and Thorium Carbide to the fuel. The optimum reactor design reached at 360 cm of core radius and 303 cm of core height.
Study on fusion blanket with ceramic solid as tritium breeding material
Authors: Maemunah I R , Su’ud Z , Waris A , Irwanto D 
Published: November 2021

Abstract
Variation of solid ceramic breeding might be one of the excellent candidates in a fusion reactor. The LiAlO2, Li4SiO4, Li2O, and Li2ZrO3 show pretty good requirements in tritium breeding capability and thermodynamic behavior. Especially for LiAlO2 and Li2ZrO3, in which they could be possible to breed without neutron multiplying needed as blanket used generally in order to reach the self-sufficiency reactor. So that, it makes up the material could be possible as high-estimation breeder material.
The prediction of molecule atomization energy using neural network and extreme gradient boosting
Authors: Sumanto M , Martoprawiro M A , Ivansyah A L 
Published: November 2021

Abstract
Machine Learning is an artificial intelligence system, where the system has the ability to learn automatically from experience without being explicitly programmed. The learning process from Machine Learning starts from observing the data and then looking at the pattern of the data. The main purpose of this process is to make computers learn automatically. In this study, we will use Machine Learning to predict molecular atomization energy. From various methods in Machine Learning, we use two methods namely Neural Network and Extreme Gradient Boosting. Both methods have several parameters that must be adjusted so that the predicted value of the atomization energy of the molecule has the lowest possible error. We are trying to find the right parameter values for both methods. For the neural network method, it is quite difficult to find the right parameter value because it takes a long time to train the model of the neural network to find out whether the model is good or bad, while for the Extreme Gradient Boosting method the time needed to train the model is shorter, so it is quite easy to find the right parameter values for the model. This study also looked at the effects of the modification on the dataset with the output transformation of normalization and standardization then removing molecules containing Br atoms and changing the entry in the Coulomb matrix to 0 if the distance between atoms in the molecule exceeds 2 angstrom.
Core Configuration Analysis for Modular Gas-cooled Fast Reactor (GFR) using OpenMC
Authors: Raflis H , Ilham M , Su’ud Z , Waris A , Irwanto D 
Published: November 2021

Abstract
The core configuration analysis of modular Gas-cooled Fast Reactor (GFR) has been done to understand GFR performance. The modular GFR used a fast neutron spectrum and high-temperature helium gas, providing higher thermal efficiency than the other generation IV reactor candidates. In this paper, the variation of core configuration and dimension for core design has been applied in radial, axial, and radial-axial directions. The Monte Carlo method, named OpenMC code, has been used for the criticality and isotope evaluation of design core GFR. The OpenMC code provides the probabilistic solution to solve the neutron transport equation in a 3D model and non-homogenous physical volumes using Evaluated Nuclear Data File (ENDF/B-VII.b5) and continuous energy spectrum. The neutronics parameters characterized are the value of keff, fission rate and neutron flux distribution, and fissile material evolution to know of GFR core design’s performance. The analysis showed that the core configuration in radial direction gives a good understanding of the feasibility of GFR core design.