bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonlinear effects on the dynamics of quantum harmonic modes coupled through angular momentum
Authors: Canosa N , Rossignoli R , García Javier , Mandal Swapan , Chandra Saha Kartick 
Published: August 2020

Abstract
We investigate nonlinear effects on the dynamics of entanglement and other quantum observables in a system of two harmonic modes coupled through angular momentum. The nonlinearity arises from a Kerr-type anharmonic term in each mode. The emergence and evolution of entanglement, non-Gaussianity, photon number, photon antibunching and squeezing are examined for different initial coherent product states and couplings, through exact diagonalization in a truncated basis. It is shown that the anharmonic terms, even if weak, can lead to very significant effects for such initial states, considerably enhancing and stabilizing entanglement and leading to a non negligible non-Gaussianity of the evolved states. They also affect other observables, stabilizing the dynamics after an initial transient regime, for not too small initial average populations of each mode. Analytic short-time approximate expressions are also provided.
Molecular dynamics simulations of the laser ablation of silicon with the thermal spike model
Authors: Klein Dominic , Eisfeld Eugen , Roth Johannes 
Published: August 2020

Abstract
The purpose of this work is to model laser ablation of silicon on an atomistic scale in combination with a mesoscale model for the description of the electron-phonon interaction and an electron-temperature dependent interaction potential. The well-known continuum two-temperature model (TTM) for solids with highly excited electrons is extended from metals to silicon by explicitly taking charge carrier transport effects into account (nTTM). This is accomplished by the drift-diffusion limit of the Boltzmann-transport equation leading to the so called thermal-spike model (TSM). The model is further enhanced by extending the static modified Tersoff potential to a dynamical carrier excitation dependent interaction potential. We compare the TSM and nTTM with regard to physical correctness, numerical stability and applicability in the context of large-scale massive parallel high performance computing.
Charge cluster triggers unpredictable insulation surface flashover in pressurized SF6
Authors: Li Chuanyang , Zhu Yujie , Hu Jun , Li Qi , Zhang Bo , He Jinliang 
Published: August 2020

Abstract
This paper reports an unpredictable insulation surface flashover phenomenon triggered by surface charge clusters under DC electric field, which is experimentally revealed by a donut-shaped dust cluster figure, presenting the outline of these surface charge clusters and showing a hollow donut-shaped structure interestingly. The charge cluster is randomly formed when ions originating from local micro-protrusions accumulate on the insulation surface, the edge of which produces a strong electrical field to induce local streamers. These local streamers provide an inducing factor, unpredictably triggering surface flashover. An in-depth illustration of how the dust phase transition depicts surface charge cluster evolution is proposed. This uncovered phenomenon has significant physical implications in revealing unpredictable insulation surface flashover and has great significance in further developing of HVDC gas insulated power transmission systems and other fields, such as microelectronics and space aircrafts.
Decision tree-extended finite impulse response filtering for pedestrian tracking over tightly integrated inertial navigation system/ultra wide band data
Authors: Xu Yuan , Shmaliy Yuriy S , Hua Luchi , Ma Liyao , Zhuang Yuan 
Published: August 2020

Abstract
Although the tightly integrated inertial navigation system/ultra wide band (INS/UWB) improves the localization accuracy, it suffers from UWB distance outage. In order to reduce the outage effect on the position accuracy, in this paper we propose using a novel decision tree (DT)-extended finite impulse response (EFIR) filter. When all the UWB distances are available, the EFIR filter tightly fuses the INS and UWB data. Otherwise, the DT builds a relationship between the INS and UWB position errors. Once at least one UWB distance is unavailable, the DT bridges a gap over unavailable measurements. It is shown experimentally that the DT-EFIR filter is an efficient tool to reduce the effect of the UWB distance outage on the INS/UWB system operation, which can improve the localization error by about 40% as compared with the UWB solution.
A method for mechanical fault recognition with unseen classes via unsupervised convolutional adversarial auto-encoder
Authors: Pan Tongyang , Chen Jinglong , Qu Cheng , Zhou Zitong 
Published: August 2020

Abstract
Intelligent fault recognition has been a hot topic in the area of mechanical fault detection. However, it is difficult to collect sufficient monitoring data to represent the various kinds of faults and support network training. This paper proposes a convolutional adversarial auto-encoder (AE) for mechanical fault recognition with unseen classes via one-class classification. The generator is established based on the convolutional AE, while the discriminator is a multi-scale convolutional neural network. Through unsupervised adversarial training, the model can recognize unseen faults, which are not represented in the training data. The proposed method is verified by three bearing datasets, and some related research is also introduced for comparative analysis. Results show that the RR of the proposed method arrives at 100%, 100% and 97.3% in three cases, while the AC reaches 91.4%, 90.5% and 90.8% respectively.
In situ evolved NiMo/NiMoO4 nanorods as a bifunctional catalyst for overall water splitting
Authors: Sajjad Saman , Wang Chao , Wang Xianfu , Ali Tariq , Qian Tao , Yan Chenglin 
Published: August 2020

Abstract
Due to their good conductivity and catalytic performance, Ni—Mo-based catalysts are well-established for highly effective water splitting. However, the know-how required to fabricate distinct interfaces and electronic structures for metal oxides is still a challenge, and the synergistic effect between metal and metal oxides that enhances electrocatalytic activity is still ambiguous. As described here, by controlling the lithium-induced conversion reaction of metal oxides, metal/metal-oxide composites with plentiful interfaces and prominent electrical interconnections were fabricated, which can boost active sites and accelerate mass transfer during electrocatalytic reactions. As a consequence, the superior catalytic activity of ECT-NiMo/NiMoO4 exhibited a low overpotential of 61 mV at a current density of 10 mA cm−2 for the hydrogen evolution reaction and 331 mV at 100 mA cm−2 for the oxygen evolution reaction. When integrated into a two-electrode system, the ECT-NiMo/NiMoO4 revealed a highly stable and efficient performance in overall water splitting. This work provides a promising approach to enhance the metallicity and electron redistribution of catalysts for numerous water-splitting applications and many other possibilities for energy storage devices.
Electrospinning synthesis of amorphous NiMoO4/graphene dendritic nanofibers as excellent anodes for sodium ion batteries
Authors: Zhao Jianguo , Hu Zhuan , Chen Shichao , Zhang Weiying , Liu Xianming 
Published: August 2020

Abstract
Metal molybdates have attracted considerable attention as promising anode materials for sodium ion batteries (SIBs) due to their high theoretical specific capacity and excellent electrochemical performance. However, their low rate capacity and rapid capacity attenuation hinder their application in SIBs. Here, amorphous NiMoO4/graphene nanofibers were prepared via an electrospinning method. The electrochemical performance of NiMoO4 was first reported as the anode for SIBs. Amazingly, the amorphous NiMoO4/graphene delivered an outstanding specific capacity of 260 mAh g−1 after 100 cycles at 100 mA g−1 at a potential range from 0.01–2.7 V and an excellent rate performance of 160 mAh g−1 at 1 A g−1. The superior electrochemical properties of amorphous NiMoO4 can be ascribed to its amorphous structure and reduced diffusion distance, and the strong synergy of NiMoO4 and graphene.
Ultra-stretchable on-body-based soft triboelectric nanogenerator for electronic skin
Authors: Park Jiwon , Kim Daeun , Kim Youn Tae 
Published: August 2020

Abstract
Recently, there has been a rapidly growing interest in the application of electronic skins and wearable sensors that can be attached to the human skin or the curved parts of the human body, owing to their flexibility and elasticity. However, developing a power supply to drive such devices is a significant challenge. An on-body-based soft triboelectric nanogenerator (TENG), which can be attached to the skin and generate energy from any type of motion, is proposed to address this challenge. The manufacturing process of the proposed device is simpler than that of a similar previously developed TENG. The proposed on-body-based soft TENG is ultra-thin and has a thickness of approximately 200 μm. Au-coated yarn, which acted as an electrode, was formed on the elastomeric substrate in a serpentine form, exhibiting high elasticity (>100%) and stable properties without distortion, even after experiencing repeated deformation. Attached to the back of the hand, TENG generated 150 mW m−2 power and demonstrated practical application potential because it could charge the storage element while operating the electronic device. Additionally, it was attached to different parts of the body to harvest energy with strong adhesion, even under various motions. The on-body-based soft TENG can be used as a thin and flexible soft power source for replacing existing bulk batteries and can also serve as an essential core device in various fields related to electronic skin and flexible electronic devices.
Characterization and modeling of temperature effect on the shear mode properties of magnetorheological elastomers
Authors: Hemmatian Masoud , Sedaghati Ramin , Rakheja Subhash 
Published: August 2020

Abstract
The temperature dependency of the viscoelastic properties of magnetorheological elastomers (MREs) operating in the shear mode was experimentally investigated under broad ranges of strain amplitude, excitation frequency, and applied magnetic field. Experiments were performed with isotropic MRE samples with

25
%

volume fraction of carbonyl iron particles dispersed in the silicone rubber matrix under controlled temperature, ranging from

−
10

∘

C

to

50

∘

C

together with different levels of magnetic field density (

0

to

1.0

T

). The results revealed significant effect of temperature on the linear and nonlinear viscoelastic properties of MREs, in addition to the effects of strain amplitude, rate, and applied magnetic flux density. The temperature dependency of mechanical properties of an unfilled rubber matrix was also measured, which served as a reference. The shear properties of the MRE revealed reductions in both the storage and loss moduli with increasing temperature. The temperature dependency of the MRE, however, diminished under shear strain in excess of the critical strain. The results also revealed more pronounced temperature effect at higher temperatures and excitation frequencies, while it was relatively lesser with increasing magnetic field. Increase in temperature resulted in enhanced magnetorheological effect, while a clear trend with regard to the excitation frequency could not be established. Finally, a phenomenological model has been developed to predict the storage and loss moduli of the MRE as a function of excitation frequency, applied magnetic flux density, and temperature. The superb performance of the proposed model in predicting viscoelastic moduli under various operating and environmental conditions has been demonstrated through comparison of the experimental and simulation results.
A simple screening current simulation method using equivalent circuit model for REBCO pancake coils
Authors: Noguchi So , Imai Teki , Park Dongkeun , Hahn Seungyong , Iwasa Yukikazu 
Published: August 2020

Abstract
The screening current induced in rare-earth barium copper oxide (REBCO) tape generates an unwanted irregular magnetic field. The screening current-induced field (SCIF) is a challenging issue for MRI, NMR, and accelerators magnet composed of REBCO coils. A few FEM-based simulation methods have been proposed to estimate the SCIF; however, they require a long computation time.
Recently, we have proposed a simple SCIF computation method based on the self and mutual inductances of REBCO pancake coils and screening current radial paths on the top and bottom of pancake coils. The accuracy of the proposed method is not excellent; however, the computation time is quite short. In this paper, we report an equivalent circuit model that includes the self and mutual inductances of a REBCO pancake coil and screening current radial path. Moreover, with this proposed method, we can compute the SCIF of no-insulation (NI) REBCO pancake coils, which is not the case with the previously proposed FEM-based simulation method. The proposed method has been validated by experimentation. The proposed method is available online.
Pinning properties of FeSeTe thin film through multifrequency measurements of the surface impedance
Authors: Pompeo N , Torokhtii K , Alimenti A , Sylva G , Braccini V , Silva E 
Published: August 2020

Abstract
We present high frequency measurements of the vortex dynamics of a FeSe
x
Te1 − x
(x = 0.5) thin film grown on a CaF2 substrate and with a critical temperature T

c
≃ 18  K, performed by means of a dual frequency dielectric resonator at 16.4 GHz and 26.6 GHz. We extract and discuss various important vortex parameters related to the pinning properties of the sample, such as the characteristic frequency ν

c
, the pinning constant k

p
and the pinning barrier height U relevant for creep phenomena. We find that the vortex system is in the single-vortex regime, and that pinning attains relatively high values in terms of k

p
, indicating significant pinning at the high frequencies here studied. The pinning barrier energy U is quite small and exhibits a non-monotonous temperature dependence with a maximum near 12 K. This result is discussed in terms of core pinning of small portion of vortices of size

∝

ξ
3

jumping out of the pinning wells over very small distances, a process which is favoured in the high frequency, short ranged vortex oscillations here explored.
Generalized uncertainty principle and black hole thermodynamics *
Authors: Pu Jin , Mao Qin-Bin , Jiang Qing-Quan , Yu Jing-Xia , Zu Xiao-Tao 
Published: August 2020

Abstract
Banerjee-Ghosh's work shows that the singularity problem can be naturally avoided by the fact that black hole evaporation stops when the remnant mass is greater than the critical mass when including the generalized uncertainty principle (GUP) effects with first- and second-order corrections. In this paper, we first follow their steps to reexamine Banerjee-Ghosh's work, but we find an interesting result: the remnant mass is always equal to the critical mass at the final stage of black hole evaporation with the inclusion of the GUP effects. Then, we use Hossenfelder's GUP, i.e., another GUP model with higher-order corrections, to restudy the final evolution behavior of the black hole evaporation, and we confirm the intrinsic self-consistency between the black hole remnant and critical masses once more. In both cases, we also find that the thermodynamic quantities are not singular at the final stage of black hole evaporation.
A massless scalar field in Robertson-Walker spacetimes: Adiabatic regularization and Green’s function *
Authors: Zhang Yang , Wang Bo , Ye Xuan 
Published: August 2020

Abstract
We study adiabatic regularization of a coupling massless scalar field in general spatially flat Robertson-Walker (RW) spacetimes. For the conformal coupling, the 2nd-order regularized power spectrum and 4th-order regularized stress tensor are zero, and no trace anomaly exists in general RW spacetimes. This is a new result that exceeds those found in de Sitter space. For the minimal coupling, the regularized spectra are also zero in the radiation-dominant and matter-dominant stages, as well as in de Sitter space. The vanishing of these adiabatically regularized spectra is further confirmed by direct regularization of the Green's function. For a general coupling and general RW spacetimes, the regularized spectra can be negative under the conventional prescription. At a higher order of regularization, the spectra will generally become positive, but will also acquire IR divergence, which is inevitable for a massless field. To avoid the IR divergence, the inside-horizon regularization is applied. Through these procedures, nonnegative UV- and IR-convergent power spectrum and spectral energy density will eventually be achieved.
Differences in snow-induced radiative forcing estimated from satellite and reanalysis surface albedo datasets over the Northern Hemisphere landmass for the overlapping period of 1982–2012
Authors: Xiaona Chen , Shunlin Liang , Yaping Yang 
Published: August 2020

Abstract
The snow-induced radiative forcing (SnRF) measures the instantaneous perturbation to Earth’s shortwave radiation at the top of the atmosphere (TOA) caused by the presence of snow cover. Land surface albedo (a
s) is a key parameter in estimation of SnRF. Previous studies have focused on using satellite or reanalysis a
s data in SnRF quantifications. However, their spatial and temporal differences remain unclear. In this study, SnRF over the Northern Hemisphere (NH) estimates from two satellite and four reanalysis a
s datasets were compared for the overlapping period of 1982–2012. The 31-year annual-mean SnRF was estimated at −1.81 to −1.59 W m−2 from satellite a
s datasets, with a peak of −4.01 W m−2 and Standard Deviation (SD) of 1.54 W m−2 in April. The comparable SnRF from reanalysis a
s was −1.48 to −2.30 W m−2, with a peak of −4.77 W m−2 and SD of 0.81 W m−2 in the same month. In the seasonal cycle, SnRF from satellite a
s displayed lower values from October to January, but higher values from February to July, compared with SnRF using reanalysis a
s. Moreover, the annual-mean SnRF declined by 0.39–1.25 W m−2 during 1982–2012 from satellite a
s datasets, which is much smaller than the results using reanalysis a
s datasets. Furthermore, changes in monthly-mean SnRF from satellite a
s displayed an enhance trend in snow accumulation seasons, which are largely different with the comparable changes from reanalysis-based SnRF, indicating that there are large interannual and intra-annual biases between SnRF estimates from satellite and reanalysis a
s datasets. Based on above results, we conclude that the large discrepancies between SnRF estimations from satellite and reanalysis a
s should be considered in evaluating the response and feedback of snow cover to Earth climate change in future studies, especially in radiation budget anomalies.
Inkjet-printed Ti3C2Tx MXene electrodes for multimodal cutaneous biosensing
Authors: Saleh Abdulelah , Wustoni Shofarul , Bihar Eloise , El-Demellawi Jehad K , Zhang Yizhou , Hama Adel , Druet Victor , Yudhanto Arief , Lubineau Gilles , Alshareef Husam N , Inal Sahika 
Published: August 2020

Abstract
Among the existing two-dimensional materials, MXenes, i.e. transition metal carbides, nitrides and/or carbonitrides, stand out for their excellent electrochemical properties. Due to their high charge storage capacity, metal-like conductivity, biocompatibility as well as hydrophilicity, Ti3C2Tx MXene-based inks hold great potential for scalable production of skin conformable electronics via direct printing methods. Herein, we develop an aqueous MXene ink and inkjet-print MXene films on freestanding, flexible, and conducting polymer-based substrates. These skin-adherent MXene electrodes detect electrocardiography signals with high signal-to-noise ratio while exhibiting preserved electrical performance after 1000 cycles of bending with a 50 d long shelf life in ambient conditions. We show that printed MXene films can be further functionalized to perform as multifunctional biosensing units. When integrated with a sodium (Na+) ion selective membrane, MXene electrodes detect Na+ in artificial sweat with a sensitivity of 40 mV per decade. When the films are functionalized with antibodies, they generate an electrical signal in response to a pro-inflammatory cytokine protein (interferon gamma) with a sensitivity of 3.9 mV per decade. Our findings demonstrate how inkjet-printed MXene films simplify the fabrication of next-generation wearable electronic platforms that comprise multimodal sensors.
Application of the Bethesda System for Reporting Thyroid Cytopathology in the Pediatric Population
Authors: Vuong Huy Gia , Suzuki Ayana , Na Hee Young , Tuyen Pham Van , Khuy Doan Minh , Nguyen Hiep Canh , Jitpasutham Tikamporn , Abelardo Agustina , Amano Takashi , Park So Yeon , Jung Chan Kwon , Hirokawa Mitsuyoshi , Katoh Ryohei , Kakudo Kennichi , Bychkov Andrey 
Published: August 2020

Abstract

Objectives
We aimed to provide the Asian experience with the Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) in pediatric thyroid nodules.

Methods
Consecutive thyroid fine-needle aspirates (patient age, ≤18 years) were retrospectively collected from 7 tertiary centers in 5 Asian countries.

Results
Of 194,364 thyroid aspirates, 0.6% were pediatric cases (mean age, 15.0 years). Among 827 nodules with accessible follow-up, the resection rate and risk of malignancy (ROM) were 36.3% and 59.0%, respectively. Malignant nodules (n = 179) accounted for 59.7% of resected nodules and 21.6% of all thyroid nodules with available follow-up. Compared with the published adult series, pediatric nodules had a higher resection rate and ROM, particularly in the indeterminate categories.

Conclusions
Our study demonstrates that Asian pediatric thyroid nodules had higher ROM than those from adults. The prototypic outputs of TBSRTC may need to be adjusted in the pediatric population.
MCCS, a novel characterization method for protein–ligand complex
Authors: Chen Maozi , Feng Zhiwei , Wang Siyi , Lin Weiwei , Xie Xiang-Qun 
Published: August 2020

AbstractDelineating the fingerprint or feature vector of a receptor/protein will facilitate the structural and biological studies, as well as the rational design and development of drugs with high affinities and selectivity. However, protein is complicated by its different functional regions that can bind to some of its protein partner(s), substrate(s), orthosteric ligand(s) or allosteric modulator(s) where cogent methods like molecular fingerprints do not work well. We here elaborate a scoring-function-based computing protocol Molecular Complex Characterizing System to help characterize the binding feature of protein–ligand complexes. Based on the reported receptor-ligand interactions, we first quantitate the energy contribution of each individual residue which may be an alternative of MD-based energy decomposition. We then construct a vector for the energy contribution to represent the pattern of the ligand recognition at a receptor and qualitatively analyze the matching level with other receptors. Finally, the energy contribution vector is explored for extensive use in similarity and clustering. The present work provides a new approach to cluster proteins, a perspective counterpart for determining the protein characteristics in the binding, and an advanced screening technique where molecular docking is applicable.