bluuebunny/crossref_metadata_2025_split huggingface dataset:
GSCV-XGBoost based information reconstruction and fusion method for SINS/DVL integrated navigation system
Authors: Qin Hongmao , Wang Ying , Wang Guangcai , Qin Xiaohui , Bian Yougang 
Published: November 2022

Abstract
An underwater navigation system has specific requirements for reliability. In the frequently used strapdown inertial navigation system/Doppler velocity log (SINS/DVL) integrated navigation system, the process of the DVL measuring velocity is always disturbed in a complex underwater environment. Thus the velocity measurements on acoustic beam directions are prone to get lost, which seriously affects system reliability. This paper proposes a novel information reconstruction and integration algorithm to solve this problem, based on the tree boosting model. The algorithm is mainly divided into two consecutive stages: training and reconstruction. When the DVL velocity in all beam directions is available, the GSCV-XGBoost (extreme gradient boosting based on the grid-search and cross-validation theory) method is used to train the mapping model between DVL velocity and SINS/DVL integrated navigation system velocity. When the DVL velocity is incompletely available, the mapping model, that has been trained in advance, is used to reconstruct the missing DVL velocity measurements and resume normal SINS/DVL integration conditions. Simulation and underwater vehicle-mounted experiments are applied to verify that the proposed algorithm reconstructs more accurate velocity information than traditional XGBoost, which shows great prospects for application and reliability in the SINS/DVL underwater integrated navigation system.
A novel motor fault diagnosis method based on principal component analysis (PCA) with a discrete belief rule base (DBRB) system
Authors: Yu Hang , Gao Haibo , He Yelan , Lin Zhiguo , Xu Xiaobin 
Published: November 2022

Abstract
Motor vibration signal data sets are characteristically random and nonlinear, and its features are difficult to extract for fault identification. To reduce the uncertainty of fault diagnosis, a method based on principal component analysis (PCA) and discrete belief rule base (DBRB) was developed for the first time. Initially, the vibration signal was first denoised using a wavelet threshold algorithm to eliminate interference. Second, overlapping signals were segmented into 15 time windows and a total of 13 typical time domain features and mathematical statistical features were extracted. Third, the dimensions of the features were reduced to three principal components by PCA and were taken as the antecedent attributes of the DBRB. However, the amount of information in each principal component is different, so the variance contribution rate was taken as an antecedent attribute weight to restore the original data characteristics. Fourth, a PCA-DBRB model was established, which effectively avoided the combinatorial explosion problem of rule base in the DBRB model. In addition, to obtain appropriate reference values, the k-means algorithm was introduced to take the cluster centers as reference values. The method was then validated by collecting typical fault data from motor bench experiments. The results demonstrated that compared with other traditional classifiers, this approach is more effective and superior in classification performance and more accurate in diagnosing faults from motor vibration data.
Multi-physics modeling of grain growth during solidification in electron beam additive manufacturing of Inconel 718
Authors: Kamat Shardul , Li Xuxiao , Stump Benjamin , Plotkowski Alex , Tan Wenda 
Published: November 2022

Abstract
While experimental work has shown promising results regarding control of additive manufacturing metal grain structure, the effects of processing parameters on the grain structure is difficult to understand and predict from experiment alone. To this end, a modeling framework is developed which sequentially couples a macro-scale, semi-analytic thermal model, and a meso-scale, cellular automata-based microstructure model. This framework is applied to electron beam additive manufacturing of Inconel 718 using a complex spot scan pattern. The model shows that, with the same scan pattern, variations in the spot time and electron-beam current produce thermal histories with significant spatial and temporal differences, which then produce complex solidification conditions from the interplay between molten pools in the same layer and subsequent layers, resulting in vastly different grain structures. It is noted that the framework can significantly reduce the computational expenses for coupled thermal-metallurgical problems, and has the potential to be used for component level problems.
Plasmonic optical fiber gratings based on few-layer Ta2C MXenes for refractive index sensing
Authors: Liu Runcheng , Yang Wen , Lu Jiajun , Shafi Muhammad , Jiang Mingshun , Jiang Shouzhen 
Published: November 2022

Abstract
Tilted fiber Bragg grating (TFBG) is a widespread approach for developing refractive index (RI) sensors. The unique optoelectronic properties exhibited by MXene are expected to enhance the performance of TFBG-SPR sensors. In this study, a Ta2C coating appropriate for sensing was obtained by optimizing the photo-deposition time, which addressed the challenge of preparing large areas of MXene. The uniform coating of the few-layer Ta2C increases the wavelength sensitivity and FOM of the sensor to 229.5 nm/RIU and 2228.15 respectively. This significant enhancement was attributed to an ordered MXene phase of the grown Ta2C. The energy band theory verified the metallic nature of the Ta2C and the amplification effect on the RI response. Finite element analysis demonstrated that the stronger absorption band of Ta2C facilitated the generation of surface plasmon polariton. Based on the above benefits, the sensor detected melamine in milk with a detection limit of 7.9 × 10−9 M. The TFBG/Au/Ta2C sensor is a promising approach for biochemical analysis and trace detection.
Porous unsupported CuO nanoplates for efficient photothermal CO oxidation
Authors: Liang Rong , Chen Xuehua , Qin Chao , Ye Zhizhen , Zhu Liping , Lou Zirui 
Published: November 2022

Abstract
It is a significant issue for environmental protection and industrial production to eliminate CO, a gas harmful to life and some important reaction sites. Real environmental conditions require catalytic CO oxidation to occur at relatively low temperature. Nowadays, photothermal catalysis has been exploited as a new way to achieve CO elimination, different from thermal catalysis. CuO, as cheap and abundant substitute for precious metals, is considered to have potential in photothermal catalysis. Oxygen vacancies (OV) and lattice oxygen (OL) activity are considered extremely crucial for oxide catalysts in CO oxidation, according to Mars−van Krevelen mechanism. Herein, porous CuO nanoplates with adjustable OV and OL activity were prepared by a facile method via controlling the morphology and phase composition of precursors. The light-off temperature (50% conversion) of the best sample obtained under the optimal conditions was ∼110 °C and an almost complete conversion was reached at ∼150 °C. It also achieved nearly 70% conversion under 6 standard Suns (6 kW cm−2 irradiation) and could work in infrared radiation (IR) regions, which could be attributed to the photo-induced thermal effect and activation effect. The simple synthesis and characterization provide a good example for the future photothermal catalysis.
Improvement of proton beam range uncertainty in breast treatment using tissue samples
Authors: Cui Xiangli , Jee Kyungwook , Hu Man , Bao Jie , Lu Hsiao-Ming 
Published: November 2022

Abstract

Objective. Proton therapy after breast-conserving surgery (BCS) can substantially reduce the dose to lung and cardiac structures. However, these dosimetric benefits are subject to beam range uncertainty in patient. The conversion of the CT-Hounsfield unit (HU) into relative stopping power (RSP) is the primary contribution to range uncertainty. Hence, an accurate HU-RSP conversion is essential. Approach. Real tissue samples, including muscle and adipose, were prepared. The water equivalent path length (WEPL) of these samples was measured under homogeneous conditions using a 12-diode detector array of our time-resolved in vivo range verification system (IRVS). The HU-RSP conversion was improved using the measured WEPL and HU for adipose tissue. The measured WEPL values were compared with the treatment planning calculation results based on the stoichiometric CT-HU calibration technique. The effect was investigated for both with and without adipose tissue in HU-RSP conversion. Main results. The IRVS was calibrated based on the solid water phantom. The relative differences in WEPL (RSP) between measurements and calculations for muscle, adipose, and water was −1.19% (−0.75%), −4.25%(−4%), and −0.23%(−0.07%), respectively. Based on the improved HU-RSP conversion, the relative differences in WEPL was reduced to −0.97%(−0.62%), −1.50%(−1.46%), and −0.22% (0.00%), respectively. Significance. The WEPL deviation of adipose tissue is larger than the testing limit of 3.5% for beam range robustness in current clinical practice. However, the improved HU-RSP conversion reduced this deviation. The main component of breast tissue is adipose. Hence, the proton treatment of BCS can be undershooting if no proper measures are taken against this specific uncertainty.
Tunable broad-band absorber consisted of crossed-oval shape of graphene
Authors: Bagheri Mohammad Kazem , Hosseini Mehdi , Bahadoran Mahdi 
Published: November 2022

Abstract
A three-dimensional broadband absorber structure was proposed based on the crossed-oval shape of graphene (COSG) on a wafer layout. This structure consisted of silicon/gold/silica wafer and a superstrate layer of graphene patterns in the form of crossed-oval placed on top of the wafer. The effect of geometrical parameters on the absorption was studied. Results show that this structure can absorb over 99% of the incoming light over a broad range of THz frequencies. The absorption peaks were fine-tuned by changing the geometrical and physical parameters. This property is vital and desirable in optical detectors, chemical sensors, and other optical devices.
Effect of anisotropic grain boundaries on the surface blistering of tungsten induced by deuterium plasma exposure
Authors: Xia Tongjun , Jiang Zhenyu , Shi Yongzhi , Ren Xinyu , Zhu Kaigui 
Published: November 2022

Abstract
The effect of anisotropic grain boundaries on the surface microstructure changes and deuterium retention behavior in tungsten under deuterium plasma irradiation were studied. The samples named as NDW and RDW were cut from RD × TD plane and TD × ND plane of a rolled W plate (ND: normal direction, RD: rolling direction, TD: transverse direction), respectively. The results suggest that both surface morphology and deuterium retention in the RDW samples are suppressed compared to that of NDW samples for 1 h and 25 h deuterium irradiation. For 1 h exposure, the total deuterium retention in the NDW samples is about 1.6 times as much as that of RDW. However, as the exposure time increased to 25 h, the total deuterium retention in the NDW sample is two times the height of RDW sample. The experimental results show that the special grain structure of RDW can alleviate the surface morphology changes and decrease the deuterium retention in tungsten, which is interpreted by the lateral stress model of blistering.
Fano resonance characteristics of a silicon notched disk metasurface-waveguide system under different polarization conditions
Authors: Chen Ying , Li Meijie , Zhang Min , Ding Zhixin 
Published: November 2022

Abstract
In this paper, we design and theoretically investigate a silicon notched disk metasurface-waveguide (NDMW) system, realizing a new approach to excite Fano resonance by introducing a waveguide layer to generate quasi-guided mode (QGMs) resonances. By comparing the transmission characteristics of the silicon complete disk metasurface (CDM), the silicon complete disk metasurface-waveguide (CDMW) system, and the NDMW system, the formation mechanism of Fano resonances in multiple different excitation modes is analyzed. Furthermore, the Fano resonance characteristics of the NDMW system for different polarization conditions are studied. It can be found that different polarization states can excite different multiple Fano resonances in the NDMW system. Finally, the effects of various structural parameters on the multiple Fano resonances characteristics are investigated. Utilizing the narrow linewidth and significant near-field confinement of the Fano resonances, an optical refractive index sensor can be obtained with the sensitivity of 113 nm RIU−1 and the maximum quality (Q) factor of

2
×

10

5

.

The proposed system opens up an avenue to develop high-performance biological sensors.
Chaotic dynamics in tritrophic interaction with volatile compounds in plants with power law kernel
Authors: Sami Adnan , Saifullah Sayed , Ali Amir , Rahman Mati ur 
Published: November 2022

Abstract
In this article, we study a fractional-order mathematical model representing tritrophic interaction amongst plants, herbivores, and carnivores with Caputo derivative. The existence and uniqueness of the system are investigated by fixed point theory, while the stability is studied by Hyers-Ulam and generalized Hyers-Ulam stability analysis. The Adams-Bashforth-Moulton scheme is used for numerical calculations. From numerical simulations, it is observed that when the fractional order decreases the system converges to a stable state. It is observed that for a small value of fractional order, the system approaches a stable state rapidly as compared to the integer order. The chaotic behaviour of the system is studied using the Lyapunov spectrum. It is noted that two positive exponents of the proposed model show that the system is hyper-chaotic. It is also observed that a small value of attraction constant disrupts the system due to volatile organic compounds.
On the barocaloric properties of non-magnetic materials: application to K
2
TaF
7 and AgI
Authors: de Oliveira N A 
Published: November 2022

Abstract
In this paper, we theoretically discuss the effect of thermal expansion on the entropy change and the barocaloric properties of non-magnetic materials. For this purpose, we use a microscopic model Hamiltonian that takes into account the lattice vibrations beyond the harmonic approximation. The model was applied to calculate the entropy change and the barocaloric quantities ΔS

iso
and ΔT

ad
in the compounds K
2
TaF
7 and AgI.
DeWitt wave function in Hořava-Lifshitz cosmology with tensor perturbation
Authors: Martens Paul , Matsui Hiroki , Mukohyama Shinji 
Published: November 2022

Abstract
We present a well-tempered DeWitt wave function, which vanishes at the classical big-bang singularity, in Hořava-Lifshitz (HL) cosmology with tensor perturbation, both analytically and numerically. In general relativity, the DeWitt wave function is ill-behaved once the tensor perturbation is taken into account. This is essential because the amplitude of the perturbation diverges at the singularity and the perturbative expansion completely breaks down. On the other hand, in HL gravity it is known that the higher dimensional operators required by the perturbative renormalizability render the tensor perturbation scale-invariant and regular all the way up to the singularity. In this paper we analytically show that in d+1 dimensional HL gravity, the DeWitt wave function for tensor perturbation is indeed well-defined around the classical big-bang singularity. Also, we numerically demonstrate the well-behaved DeWitt wave function for tensor perturbation from the singularity to the finite size of the Universe.
MUPHOTEN: A MUlti-band PHOtometry Tool for TElescope Network
Authors: Duverne P. A. , Antier S. , Basa S. , Corre D. , Coughlin M. W. , Filippenko A. V. , Klotz A. , Hello P. , Zheng W. 
Published: November 2022

Abstract
The early and complete temporal characterization of optical, fast, transient sources requires continuous and multiband observations over different timescales (hours to months). For time-domain astronomy, using several telescopes to analyze single objects is the usual method, allowing the acquisition of highly sampled light curves. Taking a series of images each night helps to construct an uninterrupted chain of observations with a high cadence and low duty cycle. Speed is paramount, especially at early times, in order to capture early features in the light curve that help determine the nature of the observed transients and assess their astrophysical properties. However, the problem of rapidly extracting source properties (temporal and color evolution) with a heterogeneous data set remains. Consequently, we present Muphoten, a general and fast-computation photometric pipeline able to address these constraints. It is suitable for extracting transient brightness over multitelescope and multiband networks to create a single homogeneous photometric time series. We show the performance of Muphoten with observations of the optical transient SN 2018cow (from 2018 June to 2018 July), monitored by the GRANDMA network and with the publicly available data of the Liverpool Telescope.
On the correlation of angular distributions of keV ions and trajectory-dependent electronic excitations in transmission channelling geometry
Authors: Holeňák R , Lohmann S , Komander K , Primetzhofer D 
Published: November 2022

Abstract
We use energy discrimination of keV ions transmitted through a thin, single-crystalline silicon membrane to correlate specific angular distribution patterns formed in channelling geometry with trajectory-dependent electronic energy loss. The integral energy and intensity distribution of transmitted ions can thus be dissected into on one side axially channelled projectiles travelling along rather straight trajectories and on the other side dechannelled projectiles predominantly experiencing blocking. Angular distributions of transmitted ions are further simulated with two different Monte-Carlo codes.
Edge dislocations in Ni monocrystalline structure studied by McChasy 2.0 Monte Carlo code
Authors: Mieszczynski Cyprian , Nowicki Lech , Skrobas Kazimierz , Jozwik Przemyslaw , Jagielski Jacek 
Published: November 2022

Abstract
The main goal of the McChasy code, in general, is to reproduce Rutherford Backscattering Spectrometry experimental spectra recorded in channeling direction (RBS/C) by simulating He-ions travelling inside crystalline structures and to calculate the probability of the backscattering process. The 2.0 version of the code provides the possibility to simulate channeling spectra in large (ca. 108 atoms) arbitrary structures that are created based on crystallographic data or Molecular Dynamic (MD) calculations.
In this work, we present the current status of the code and the results of recent investigations of extended structural defects (edge dislocations and dislocation loops) formed inside nickel (Ni) single crystals. Two ways of modelling extended defects are described: one developed using the McChasy code (Peierls-Nabarro approach) and the other one obtained by modification and thermalization of Ni structures by MD (LAMMPS code). The atomic local environment was studied qualitatively and quantitatively by the local projectile-flux density distributions around the defects.
Unit combination problem of counting and DC bipolar blocking and dynamic voltage stabilization under a new power system
Authors: Hua Wen , Wang Bowen , Zheng Xiang , Yao Huangfu , Dong Wei 
Published: November 2022

Abstract
With the construction of new power systems a large number of DC transmission technologies are applied, but the ensuing DC blocking problem brings new challenges for the combination of units in the intranet. Considering the unit combination problem of DC bipolar blocking and dynamic voltage stability occurring in the intranet under different load levels of high, medium and low is divided into two steps: selecting the unit combination that meets the load boundary under static constraints such as N-1 fault state constraint and network security under the occurrence of DC bipolar blocking; and then checking whether the low-voltage load shedding device does not operate to meet dynamic voltage stability on this basis. This unit combination method considers the impact on dynamic voltage stability while satisfying the DC bipolar lockout standby capacity, and verifies the effectiveness of the proposed model by simulation analysis using PSD-BPA software based on the large operation mode of Zhejiang summer in 2022.
Fast microwave calibration system for cryogenic device characterization
Authors: Chen Yong , Duan Peng , Jia Zhi-long , Yang Xin-xin , Zhang Chi , Kong Wei-cheng , Li Hai-Ou , Cao Gang , Guo Guo-Ping 
Published: November 2022

Abstract
We designed a calibration system to characterize the performance of microwave devices at low temperatures. This system comprises an in-situ calibration circuit and an adapted thru-reflect-line calibration algorithm, with which we can transfer the reference ports from room temperature to cryogenic temperature with high precision. We validated the circuit and the algorithm at room temperature with better than 0.9 dB accuracy. In addition, we demonstrated how we can extract the actual S
21 of a 20 dB attenuator and a high pass filter at 20 mK using this calibration system. The calibration bandwidth of this system covers from 4.1 GHz to 18 GHz. The requirement that the phase difference between line and thru be greater than 20°determines the lower frequency limit, and the maximum operational frequency of the microwave switch determines the upper frequency limit. This system can be used for fast and accurate analysis of various cryogenic devices such as filters and amplifiers.
Commissioning of the readout chain of the CBM Projectile Spectator Detector at FAIR
Authors: Finogeev D. , Guber F. , Karpushkin N. , Makhnev A. , Morozov S. , Serebryakov D. 
Published: November 2022

Abstract
The forward hadron calorimeter Projectile Spectator Detector (PSD) will be used at the CBM experiment at FAIR to measure the nucleus-nucleus collision centrality and orientation of the reaction plane. The PSD is a sampling lead/scintillator calorimeter with modular transverse structure and longitudinal segmentation of modules. Light readout from all sections of each module is provided by Hamamatsu MicroPixel Photon Counters installed at the rear of the module. The full chain of the Front-End and readout electronics of one PSD module — mPSD has been assembled, integrated into mCBM (mini-CBM) trigger-less data acquisition system and tested at mCBM test runs in Summer 2021. The PSD Front-End and readout electronics integration into mCBM within the common synchronized CBM data transport system is discussed.