bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tracing the ionic evolution during ILG induced phase transformation in strontium cobaltite thin films
Authors: Gao Lei , Chen Xiaokun , Lyu Xiangyu , Ji Guiping , Chen Zhanfen , Zhu Mingtong , Cao Xun , Li Chaorong , Ji Ailing , Cao Zexian , Lu Nianpeng 
Published: December 2020

Abstract
Ionic liquid gating (ILG) that drives the ions incorporate into or extract from the crystal lattice, has emerged as a new pathway to design materials. Although many intriguing emergent phenomena, novel physical properties and functionalities have been obtained, the gating mechanism governing the ion and charge transport remains unexplored. Here, by using the model system of brownmillerite SrCoO2.5 and the corresponding electric-field controlled tri-state phase transformation among the pristine SrCoO2.5, hydrogenated HSrCoO2.5 and oxidized perovskite SrCoO3−δ
through the dual ion switch, the ionic diffusion and electronic transport processes were carefully investigated. Through controlling gating experiment by design, we find out that the collaborative interaction between charge transport and ion diffusion plays an essential role to prompt the hydrogen or oxygen ions incorporate into the crystal lattice of SrCoO2.5, and therefore leading to formation of new phases. At region closer to the electrode, the electron can shuttle more readily in (out) the material, correspondingly the incorporation of hydrogen (oxygen) ions and phase transformation is largely affiliated. With the compensated charge of electron as well as the reaction front gradually moving away from the electrode, the new phases would be developed successively across the entire thin film. This result unveils the underlying mechanism in the electric-field control of ionic incorporation and extraction, and therefore provides important strategy to achieve high efficient design of material functionalities in complex oxide materials.
An autoencoder with adaptive transfer learning for intelligent fault diagnosis of rotating machinery
Authors: Tang Zhi , Bo Lin , Liu Xiaofeng , Wei Daiping 
Published: December 2020

Abstract
Under variable working conditions, a problem arises, which is that it is difficult to obtain enough labeled data; to address this problem, an adaptive transfer autoencoder (ATAE) is established to diagnose faults in rotating machinery. First, a data adaptation module, which calculates the maximum mean discrepancy for the network hidden-layer data in reproducing kernel Hilbert space, is introduced to the autoencoder network, thus making the classification model operate under variable working conditions. Variation particle-swarm optimization is then invoked to optimize the data adaptation parameters. Finally, the k-nearest neighbors algorithm, as the classification layer of the network, identifies the state of health of the rotating machinery. The capabilities of the intelligent fault-diagnosis network are verified using vibration signals from a bearing test rig and a gearbox test rig. The experimental results suggest that, compared with state-of-the-art diagnosis methods, the proposed ATAE network can significantly boost diagnostic performance in the absence of target vibration signal labels.
Analysis of the nonperfused volume ratio of adenomyosis from MRI images based on fewshot learning
Authors: Li Jiaqi , Wang Wei , Liao Lejian , Liu Xin 
Published: December 2020

Abstract
The nonperfused volume (NPV) ratio is the key to the success of high intensity focused ultrasound (HIFU) ablation treatment of adenomyosis. However, there are no qualitative interpretation standards for predicting the NPV ratio of adenomyosis using magnetic resonance imaging (MRI) before HIFU ablation treatment, which leading to inter-reader variability. Convolutional neural networks (CNNs) have achieved state-of-the-art performance in the automatic disease diagnosis of MRI. Since the use of HIFU to treat adenomyosis is a novel treatment, there is not enough MRI data to support CNNs. We proposed a novel few-shot learning framework that extends CNNs to predict NPV ratio of HIFU ablation treatment for adenomyosis. We collected a dataset from 208 patients with adenomyosis who underwent MRI examination before and after HIFU treatment. Our proposed method was trained and evaluated by fourfold cross validation. This framework obtained sensitivity of 85.6%, 89.6% and 92.8% at 0.799, 0.980 and 1.180 FPs per patient. In the receiver operating characteristics analysis for NPV ratio of adenomyosis, our proposed method received the area under the curve of 0.8233, 0.8289, 0.8412, 0.8319, 0.7010, 0.7637, 0.8375, 0.8219, 0.8207, 0.9812 for the classifications of NPV ratio interval [0%–10%), [10%–20%), …, [90%–100%], respectively. The present study demonstrated that few-shot learning on NPV ratio prediction of HIFU ablation treatment for adenomyosis may contribute to the selection of eligible patients and the pre-judgment of clinical efficacy.
Estimating the biological effects of helium, carbon, oxygen, and neon ion beams using 3D silicon microdosimeters
Authors: Lee Sung Hyun , Mizushima Kota , Kohno Ryosuke , Iwata Yoshiyuki , Yonai Shunsuke , Shirai Toshiyuki , Pan Vladimir A , Bolst David , Tran Linh T , Rosenfeld Anatoly B , Suzuki Masao , Inaniwa Taku 
Published: December 2020

Abstract
In this study, the survival fraction (SF) and relative biological effectiveness (RBE) of pancreatic cancer cells exposed to spread-out Bragg peak helium, carbon, oxygen, and neon ion beams are estimated from the measured microdosimetric spectra using a microdosimeter and the application of the microdosimetric kinetic (MK) model. To measure the microdosimetric spectra, a 3D mushroom silicon-on-insulator microdosimeter connected to low noise readout electronics (MicroPlus probe) was used. The parameters of the MK model were determined for pancreatic cancer cells such that the calculated SFs reproduced previously reported in vitro SF data. For a cuboid target of 10 × 10 × 6 cm3, treatment plans of helium, carbon, oxygen, and neon ion beams were designed using in-house treatment planning software (TPS) to achieve a 10% SF of pancreatic cancer cells throughout the target. The physical doses and microdosimetric spectra of the planned fields were measured at different depths in polymethyl methacrylate phantoms. The biological effects, such as SF, RBE, and RBE-weighted dose at different depths along the fields were predicted from the measurements. The predicted SFs at the target region were generally in good agreement with the planned SF from the TPS in most cases.
Enhanced on-state current and suppressed ambipolarity in germanium-source dual vertical-channel TFET
Authors: Chahardah Cherik Iman , Mohammadi Saeed 
Published: December 2020

Abstract
In this paper, we provide a solution for the main disadvantages of tunnel field effect transistors (TFETs) by presenting a germanium-source dual vertical-channel TFET. Our device is composed of two Ge/Si tunneling junctions in which charge carriers tunnel perpendicular to the gate, and two n+ epi-Si layers which serve as two vertical conduction channels. Owing to the recessed gate architecture and overlap of the gate with source and drain regions, we remarkably increase the on-state current and suppress the ambipolar conduction. A calibrated Atlas device simulator is employed to investigate the device performance, and the simulation results show a dramatic drive current value of about 300 µA µm−1 and on-state to off-state current ratio of about 7 × 109. Moreover, our TFET yields a minimum subthreshold swing of 5.9 mV dec−1, and a sub 60 mV dec−1 subthreshold swing over six decades of drain current at 0.5 V operating voltage.
Brain network dynamics fingerprints are resilient to data heterogeneity
Authors: Menara Tommaso , Lisi Giuseppe , Pasqualetti Fabio , Cortese Aurelio 
Published: December 2020

Abstract

Context. Large multi-site neuroimaging datasets have significantly advanced our quest to understand brain-behavior relationships and to develop biomarkers of psychiatric and neurodegenerative disorders. Yet, such data collections come at a cost, as the inevitable differences across samples may lead to biased or erroneous conclusions. Objective. We aim to validate the estimation of individual brain network dynamics fingerprints and appraise sources of variability in large resting-state functional magnetic resonance imaging (rs-fMRI) datasets by providing a novel point of view based on data-driven dynamical models. Approach. Previous work has investigated this critical issue in terms of effects on static measures, such as functional connectivity and brain parcellations. Here, we utilize dynamical models (hidden Markov models—HMM) to examine how diverse scanning factors in multi-site fMRI recordings affect our ability to infer the brain’s spatiotemporal wandering between large-scale networks of activity. Specifically, we leverage a stable HMM trained on the Human Connectome Project (homogeneous) dataset, which we then apply to an heterogeneous dataset of traveling subjects scanned under a multitude of conditions. Main Results. Building upon this premise, we first replicate previous work on the emergence of non-random sequences of brain states. We next highlight how these time-varying brain activity patterns are robust subject-specific fingerprints. Finally, we suggest these fingerprints may be used to assess which scanning factors induce high variability in the data. Significance. These results demonstrate that we can (i) use large scale dataset to train models that can be then used to interrogate subject-specific data, (ii) recover the unique trajectories of brain activity changes in each individual, but also (iii) urge caution as our ability to infer such patterns is affected by how, where and when we do so.
Multiscale multivariate transfer entropy and application to functional corticocortical coupling
Authors: Zhang Yuanyuan , Chen Xiaoling , Pang Xiaohui , Cheng Shengcui , Li Xiaoli , Xie Ping 
Published: December 2020

AbstractObjective. Complex biological systems consist of multi-level mechanism in terms of within- and cross-subsystems correlations, and they are primarily manifested in terms of connectivity, multiscale properties, and nonlinearity. Existing studies have each only explored one aspect of the functional corticocortical coupling (FCCC), which has some limitations in portraying the complexity of multivariable systems. The present study investigated the direct interactions of brain networks at multiple time scales.Approach. We extended the multivariate transfer entropy (MuTE) method and proposed a novel method, named multiscale multivariate transfer entropy (MSMVTE), to explore the direct interactions of brain networks across multiple time scale. To verify this aim, we introduced three simulation models and compared them with multiscale transfer entropy (MSTE) and MuTE methods. We then applied MSMVTE method to analyze FCCC during a unilateral right-hand steady-state force task.Main results. Simulation results showed that the MSMVTE method, compared with MSTE and MuTE methods, better detected direct interactions and avoid the spurious effects of indirect relationships. Further analysis of experimental data showed that the connectivity from left premotor/sensorimotor cortex to right premotor/sensorimotor cortex was significantly higher than that of opposite directionality. Furthermore, the connectivities from central motor areas to both sides of premotor/sensorimotor areas were higher than those of opposite directionalities. Additionally, the maximum coupling strength was found to occur at a specific scale (3–10).Significance. Simulation results confirmed the effectiveness of the MSMVTE method to describe direct relationships and multiscale characteristics in complex systems. The enhancement of FCCC reflects the interaction of more extended activation in cortical motor regions. Additionally, the neurodynamic process of brain depends not only on emergent behavior at small scales, but also on the constraining effects of the activity at large scales. Taken together, our findings provide a basis for better understanding dynamics in brain networks.
Overview of the ICRF antenna coupling experiments on EAST
Authors: Yang H. , Zhang X.J. , Qin C.M. , Zhao Y.P. , Yuan S. , Mao Y.Z. , Yang X. , Li M.H. , Urbanczyk G. , Wang M. , Wang X.J. , Xu H.D. , Ding B.J. , Li Y.C. , Xu G.S. , Hu L.Q. , Ai L. , Guo Y.Y. 
Published: December 2020

Abstract
Experimental verification of ion cyclotron range of frequencies (ICRF) wave coupling is crucial to gain insight into the physics of the improvement of ICRF antenna coupling. The progress of ICRF antenna coupling experiments on EAST has been reported since 2007. The dependence of the loading resistance on the target plasma parameters, operational regimes and synergic heating scenarios on EAST are reviewed. Results show that the antenna coupling resistance R
c in L-mode regime meets the relation of R
c ∝ exp(−1.5k
∥
x
c), which is in good agreement with the simulation results with a perfectly matched layer method, where k
∥ is the dominant launched parallel wave number and x
c is the distance of the ICRF antenna and fast wave cut-off layer. Low plasma current, gas puff in the magnetic connections with the ICRF antenna and lower hybrid wave/electron cyclotron heating are beneficial for improving ICRF antenna coupling. The antenna coupling has a strong response during large edge-localized modes (ELMs) but it becomes steady state during ELM free. The study of ICRF antenna coupling under various parameters is helpful to optimize the ICRF wave heating scenario and understand the physical mechanisms which influence the ICRF wave coupling in plasmas.
A new anomaly observed in 4He supporting the existence of the hypothetical X17 particle
Authors: Krasznahorkay A. J. , Csatlós M. , Csige L. , Gulyás J. , Koszta M. , Szihalmi B. , Timár J. , Firak D.S. , Nagy Á. , Sas N.J. , Krasznahorkay A. 
Published: December 2020

Abstract
Recently, we observed an anomalous peak-like excess of internal e+e− pairs at around 140° for the M1 transition depopulating the 18.15 MeV isoscalar 1+ state in 8Be. The deviation from the theoretical prediction can be described by GEANT simulations assuming the creation and subsequent decay of a new, light boson with a mass of 16.7 MeV/c2. In order to reduce the possible systematic errors from the experimenntal data, we re-investigated the 8Be anomaly with an improved setup and confirmed the anomaly within the statistical uncertainties. We also studied the angular correlation of the electron-positron pairs created in the M0 transition depopulating the 21.01 MeV 0− state in 4He, and observed an anomalous excess of e+e− pairs at a significantly smaller angle of 115°. Since the transition energy was higher in this case, the observed anomaly could be described by assuming the creation and subsequent decay of the same light particle in the simulations.
Exploiting electron parity violation: from Standard Model tests to dark matter detection predictions
Authors: Moreno O. , Donnelly T. W. 
Published: December 2020

Abstract
There has been recent interest in low energy, high luminosity polarized electron beams for studies of parity-violating (PV) electron scattering, such as the MESA accelerator at Mainz or an upgraded FEL facility at Jefferson Lab. Accurate measurements of the PV asymmetry in elastic electron scattering from nuclei can be used to determine Standard Model couplings, such as the weak-mixing angle or higher-order radiative corrections, as well as to extract specific information on the nuclear and nucleon structure. To this end, low uncertainties are required from modelling some confounding nuclear and nuclear structure effects, including isospin mixing, nucleon strangeness content or Coulomb distortion of electron wave functions. We estimate the sizes and theoretical uncertainties of such effects for a carbon 12 target. An experimental precision in the PV asymmetry of a few tenths of a percent may be reachable under certain kinematic conditions, that are also discussed for the same nuclear target.
This high precision PV asymmetry in elastic electron scattering can also be used to relate in a very simple manner the elastic electron-nucleus scattering cross section with the elastic neutrino-nucleus cross section. This novel relationship allows us to exploit experimentally well-determined quantities to predict unknown or recently measured observables, such as coherent neutrino-nucleus cross sections. This idea can be extended to link electron scattering to an even more uncertain magnitude: the direct detection rate of hypothetical weak-interacting dark matter particles through axial and/or vector elastic interactions with nuclei.
Heavy-flavour observables in relativistic nuclear collisions: theory overview
Authors: Beraudo Andrea 
Published: December 2020

Abstract
Transport calculations represent the major tool to simulate the modifications induced by the presence of a hot-deconfined medium on the production of heavy-flavour particles in high-energy nuclear collisions. After a brief description of the approach and of the major achievements in its phenomenological applications we discuss some recent developments. From the theory side we focus on the evaluation of transport coefficients and on recent formulations of the problem of heavy-flavour in-medium propagation in the language of open quantum systems. From a more phenomenological perspective we give an overview of the attempts to extend theoretical models to reproduce recent experimental data arising from event-by-event fluctuations (odd flow harmonics, event-shape-engineering) or from medium-modifications of hadronization (Ds
and Ac
production).
Transport properties of Heavy Quarks: anisotropic flows υn
and their correlations to the bulk dynamics and initial Electromagnetic field
Authors: Plumari Salvatore , Coci Gabriele , Minissale Vincenzo , Das Santosh K. , Oliva Lucia , Sambataro Maria Lucia , Greco Vincenzo 
Published: December 2020

Abstract
We study the correlations between light flavor and heavy quarks (HQs) flow harmonics at LHC energy within a transport approach. We have investigated the role of transport coefficient in developing these anisotropic flows correlations. We suggest

υ
n

h
e
a
v
y

−

υ
n

l
i
g
h
t

correlation and the relative fluctuations of anisotropic flows συη

/〈υn
〉 as novel observables to constrain the HQ transport coefficients in quark gluon plasma. Finally, very strong electro-magnetic (E.M.) fields are created in Ultra-relativistic Heavy-Ion Collision (HIC). We show within relativistic Boltzmann transport approach coupled with E.M. field that the strong e.m. field is responsible for a splitting of directed flow υ
1 of D and anti-D mesons of few percent, i.e. much larger compared to the observed charged particles. Moreover, we discuss the role played by the initial large bulk vorticity on the build up of rapidity odd HQs directed flow υ
1.
Major Accelerator Facilities for Nuclear Physics in Asia Pacific
Authors: Tanaka Kazuhiro 
Published: December 2020

Abstract
Asian Nuclear Physics Association (ANPhA) is the central organization representing nuclear physics in Asia Pacific. ANPhA is now preparing a list of accelerators applicable for nuclear physics experiments in Asia Pacific. Among the listed facilities, world-class “major” accelerator facilities are mainly located in China (Heavy Ion Research Facility in Lanzhou (HIRFL), and its future extension in Huizhou, i.e. HIAF/CiADS, Beijing Tandem Accelerator National Laboratory (BTANL), which is now upgraded to Beijing RI beam Facility (BRIF), in India (Variable Energy Cyclotron Centre (VECC) in Kolkata), in Korea (RISP/rAoN), and in Japan (RIBF at Riken, J-PARC, RCNP, and ELPH/LEPS). World class facilities based on the tandem accelerator are locating at Mumbai and New Deli in India, at Tokai-mura in Japan, and at Canberra in Australia. Characteristics of these “majof” facilities including their facility developments will briefly be reviewed in comparing with similar facilities in Europe and North America.
Low-energy studies for Nuclear Astrophysics (both above- and underground)
Authors: Bruno Carlo G. 
Published: December 2020

Abstract
Experimental investigation of nuclear properties of interest in low-energy pose astrophysical scenarios such as quiescent burning stars and classical novae face interesting challenges. Cross-sections are often too low for measurement on the surface of the Earth, and short-lived radioactive elements play a key role in a number stellar scenarios. In this short review, I will mention two experimental approaches to this challenge, namely the possibility to carry out measurements underground at the LUNA accelerator (LNGS, Italy) and a novel approach that employs storage rings pioneered at GSI Laboratory (Germany).
New investigations on the 32S(3He,d)33Cl reaction at 9.6 MeV bombarding energy
Authors: Cinausero M. , Dell’Aquila D. , Lombardo I. , Vigilante M. , Barlini S. , Bolzonella R. , Bruno M. , Buccola A. , Carturan S. M. , Casini G. , Cicerchia M. , D’Andrea M. , Degerlier M. , Fabris D. , Gasques L. , Gramegna F. , Lepine-Szily A. , Mantovani G. , Marchi T. , Piantelli S. , Rigato V. , Scomparin L. , Valdrè S. 
Published: December 2020

Abstract
The 32S(3He,d)33Cl one-proton transfer reaction is a powerful tool to investigate the spectroscopy of low-lying states in the proton-rich 33Cl nucleus. However, the extraction of firm differential cross-section data at various angles to benchmark and constrain theoretical models is made challenging by the presence of competitive reactions on target contaminants. In this paper we report on a recent measurement using a new generation hodoscope of silicon detectors, capable to detect and identify emitted deuterons down to energies of the order of 2 MeV. The high angular segmentation of our hodoscope combined with a suitable target to control possible contaminants, allowed to unambiguously disentangle the contribution of various states in 33Cl, in particular the 2.352 MeV state lying just few tens of keV above the proton separation energy.
Study of the contribution of the 7Be(d, p) reaction to the 7Li problem in the Big-Bang Nucleosynthesis
Authors: Inoue Azusa , Tamii Atsushi , Chan Phaikying , Hayakawa Seiya , Kobayashi Nobuyuki , Maeda Yukie , Nonaka Kotaro , Shima Tatsushi , Shimizu Hideki , Tran Dinh Trong , Wang Xuan , Yamaguchi Hidetoshi , Yang Lei , Yang Zaihong 
Published: December 2020

Abstract
Our research goal is to measure the cross section of the 7Be(d, p) reaction to find a solution for the cosmological the 7Li problem, which is an overestimation of the primordial 7Li abundance in the standard Big-Bang nucleosynthesis (BBN) model. We developed a method to produce an unstable 7Be target to measure the reaction in normal kinematics in a high-resolution measurement. We performed an experiment to produce the 7Be target and also to measure the cross section of the 7Be(d, p)8Be reaction with the produced 7Be target at the tandem facility, Kobe University. A 2.36 MeV proton beam irradiated a Li target to transmute 7Li particles to 7Be particles via the 7Li(p, n)7Be reaction. We produced 2.6×1013 7Be particles in the target after two days’ proton irradiation. After the target production, the beam ion was changed to deuterons with energies of 0.6, 1.0, and 1.6 MeV to measure the 7Be(d, p) reaction. The outgoing protons were measured by two ΔE-E silicon telescopes placed at 30° and 45°. We report the preliminary results of this experiment, including the 7Be(d, p) cross section.