bluuebunny/crossref_metadata_2025_split huggingface dataset:
World’s first application of a self-deployable mechanism based on shape memory polymer composites in Mars explorations: ground-based validation and on-Mars qualification
Authors: Zhang Dou , Liu Liwu , Xu Pengfei , Zhao Yinzhong , Li Qifeng , Lan Xin , Zhang Fenghua , Wang Linlin , Wan Xue , Zou Xin , Zeng Chengjun , Xin Xiaozhou , Dai Wenxu , Li Ying , He Yanchun , Liu Yanju , Leng Jinsong 
Published: September 2022

Abstract
Mars is believed to contain signs of the ancient life and to be the future of humankind. Deep space explorations on Mars have received extensive attention from the scientific and engineering communities. An ancient papyrus scroll-inspired mechanism to deploy the national flag after landing is proposed in this paper. Firstly, a papyrus scroll-inspired structure folded and deployed by shape memory polymer composites (SMPCs) was designed. The material was characterised by both thermodynamic analysis and static mechanical tests. Then, computational modal analysis was completed with material parameters at 25 °C, 55 °C and 85 °C to investigate the temperature effect. Besides, ground-based engineering validations were conducted, including vibration, shock and acceleration tests, as well as deployment verification. Natural frequencies obtained from vibration agreed well with that calculated from simulation. Regular and vacuum deployments showed differences but were both acceptable. Additionally, release reliability greater than 99.99% was obtained through repeated experimental data. Finally, on-Mars qualification was completed with China’s Tianwen-1 mission, with images of the deployed five-star red flag transmitted by the Zhurong rover. It is the world’s first validation of self-deployable mechanism based on SMPCs in deep space, and further applications can be expected.
Design and experimental evaluation of an inchworm motor driven by bender-type piezoelectric actuators
Authors: Han Shuo , Li Zhi , Xu Yunlang , Yang Xiaofeng 
Published: September 2022

Abstract
Piezoelectric actuators (PEAs) are widely used in ultra-precision detection platforms where nano-precision and non-magnetic features are required. With the development of the semiconductor industry, actuators develop toward the tendency of smaller size, higher precision, and longer travel. However, these demands are difficult to meet merely by virtue of a single piezoelectric actuator or a simple structured inchworm piezo motor, which makes it necessary to develop a new drive mode following a different drive principle. In this paper, a novel inchworm piezo motor with bender-type PEAs in phalanx distribution was proposed, which facilitates in reducing the dimension of the motor and enhances the performance and stability of the piezo motor. For the purpose of accommodating the bender-type PEAs and providing the preloads to the bender-type PEAs, a flexible mechanism housing was designed and the modal analysis was finished, avoid resonance and reduce structural vibration. Experimental results show that the resolution of the developed motor is 2 nm or less under the laser interference with an adoption rate of 10 MHz and a resolution of 0.1 nm, while the maximum stroke is over 19 mm at the constant speed of 2.3 mm s−1, and the maximum output force is 41.6 N.
Coupling electromagnetic numerical models of HTS coils to electrical circuits: multi-scale and homogeneous methodologies using the T-A formulation
Authors: Zhou Pengbo , Dos Santos Gabriel , Ghabeli Asef , Grilli Francesco , Ma Guangtong 
Published: September 2022

Abstract
Numerical simulation is an effective tool for predicting the electromagnetic behavior of superconductors. Recently, a finite element method-based model coupling the T-A formulation with an electrical circuit has been proposed: the model presents the superconducting constituent as a global voltage parameter in the electrical circuit. This allows assessing the overall behavior of complex high-temperature superconductor (HTS) systems involving multiple power items, while keeping a high degree of precision on the presentation of local effects. In this work, the applicability of this model has been extended to large-scale HTS applications with hundreds or thousands of tapes by referring to two widely recognized methodologies, multi-scale and homogenization, to improve the computation efficiency. Based on the two approaches, three different models were developed and their effectiveness was assessed using the case study of a 1000 turn cylindrical HTS coil charged by a DC voltage source. The comparison of the calculated global circuit parameters, local field distributions, losses, and computation time proves that the computation efficiency can be improved with respect to a model simulating all HTS tapes, without compromising accuracy. The results indicate that the developed models can therefore be efficient tools to design and optimize large-scale HTS devices used in electrical machines and power grids. It is also found that the inductance of an HTS coil is varied according to the transport current and can be even higher than that of a normal conductor coil with the same geometry. We attribute this result to the superconductor’s non-uniform current distribution and relaxation effect during the dynamic process.
Inverse-coefficient black-box quantum state preparation
Authors: Wang Shengbin , Wang Zhimin , He Runhong , Shi Shangshang , Cui Guolong , Shang Ruimin , Li Jiayun , Li Yanan , Li Wendong , Wei Zhiqiang , Gu Yongjian 
Published: September 2022

Abstract
Black-box quantum state preparation is a fundamental building block for many higher-level quantum algorithms. The basic task of black-box state preparation is to transduce the data encoded as computational basis of quantum state into the amplitude. In the present work, we address the problem of transducing the reciprocal of the data, not the data itself into the amplitude, which is called the inverse-coefficient problem. This algorithm can be used directly as a subroutine in the matrix inversion algorithms. Furthermore, we extend this approach to address the more general nonlinear-coefficient problem in black-box state preparation. Our algorithm is based on the technique of inequality test. It can greatly relieve the need to do quantum arithmetic and the error is only resulted from the truncated error of binary string. The present algorithms enrich the algorithm library of black-box quantum state preparation and will be useful ingredients of quantum algorithm to implement non-linear quantum state transformations.
Topological and quantum stability of low-dimensional crystalline lattices with multiple nonequivalent sublattices*
Authors: Avramov Pavel V , Kuklin Artem V 
Published: September 2022

Abstract
The terms of topological and quantum stabilities of low-dimensional crystalline carbon lattices with multiple non-equivalent sublattices are coined using theoretical analysis, multilevel simulations, and available experimental structural data. It is demonstrated that complex low-dimensional lattices are prone to periodicity breakdown caused by structural deformations generated by linear periodic boundary conditions (PBC). To impose PBC mandatory limitations for complex low-dimensional lattices, the topology conservation theorem (TCT) is introduced, formulated and proved. It is shown that the lack of perfect filling of planar 2D crystalline space by structural units may cause the formation of (i) structure waves of either variable or constant wavelength; (ii) nanotubes or rolls; (iii) saddle structures; (iv) aperiodic ensembles of irregular asymmetric atomic clusters. In some cases the lattice can be stabilized by aromatic resonance, correlation effects, or van-der-Waals interactions. The effect of quantum instability and periodicity breakdown of infinite structural waves is studied using quasiparticle approach. It is found that both perfect finite-sized, or stabilized structural waves can exist and can be synthesized. It is shown that for low-dimensional lattices prone to breakdown of translation invariance (TI), complete active space of normal coordinates cannot be reduced to a subspace of TI normal coordinates. As a result, constrained TI subspace structural minimization may artificially return a regular point at the potential energy surface as either a global/local minimum/maximum. It is proved that for such lattices, phonon dispersion cannot be used as solid and final proof of either stability or metastability. It is shown that ab initio molecular dynamics (MD) PBC Nosé–Hoover thermostat algorithm constrains the linear dimensions of the periodic slabs in MD box preventing their thermostated equilibration. Based on rigorous TCT analysis, a flowchart algorithm for structural analysis of low-dimensional crystals is proposed and proved to be a powerful tool for theoretical design of advanced complex nanomaterials.
Integration of maXs-type microcalorimeter detectors for high-resolution x-ray spectroscopy into the experimental environment at the CRYRING@ESR electron cooler
Authors: Pfäfflein Ph , Allgeier S , Bernitt S , Fleischmann A , Friedrich M , Hahn Ch , Hengstler D , Herdrich M O , Kalinin A , Kröger F M , Kuntz P , Lestinsky M , Löher B , Menz E B , Over T , Spillmann U , Weber G , Zhu B , Enss Ch , Stöhlker Th 
Published: September 2022

Abstract
We report on the first integration of novel magnetic microcalorimeter detectors (MMCs), developed within SPARC (Stored Particles Atomic Physics Research Collaboration), into the experimental environment of storage rings at GSI
6

6

GSI Helmholtzzentrum für Schwerionenforschung GmbH, Planckstraße 1, 64 291 Darmstadt.
, Darmstadt, namely at the electron cooler of CRYRING@ESR. Two of these detector systems were positioned at the 0° and 180° view ports of the cooler section to obtain high-resolution x-ray spectra originating from a stored beam of hydrogen-like uranium interacting with the cooler electrons. While previous test measurements with microcalorimeters at the accelerator facility of GSI were conducted in the mode of well-established stand-alone operation, for the present experiment we implemented several notable modifications to exploit the full potential of this type of detector for precision x-ray spectroscopy of stored heavy ions. Among these are a new readout system compatible with the multi branch system data acquisition platform of GSI, the synchronization of a quasi-continuous energy calibration with the operation cycle of the accelerator facility, as well as the first exploitation of the maXs detectors’ time resolution to apply coincidence conditions for the detection of photons and charge-changed ions.
Two-loop power spectrum with full time- and scale-dependence and EFT corrections: impact of massive neutrinos and going beyond EdS
Authors: Garny Mathias , Taule Petter 
Published: September 2022

Abstract
We compute the density and velocity power spectra at next-to-next-to-leading order taking
into account the effect of time- and scale-dependent growth of massive neutrino perturbations as
well as the departure from Einstein-de-Sitter (EdS) dynamics at late times non-linearly. We
determine the impact of these effects by comparing to the commonly adopted approximate treatment
where they are not included. For the bare cold dark matter (CDM)+baryon spectrum, we find percent
deviations for k ≳ 0.17h Mpc-1, mainly due to the departure from EdS. For the
velocity and cross power spectrum the main difference arises due to time- and scale-dependence in
presence of massive neutrinos yielding percent deviation above k ≃ 0.08, 0.13,
0.16h Mpc-1 for ∑mν
= 0.4, 0.2, 0.1 eV, respectively. We use an
effective field theory (EFT) framework at two-loop valid for wavenumbers k ≫ k
FS,
where k
FS is the neutrino free-streaming scale. Comparing to Quijote N-body
simulations, we find that for the CDM+baryon density power spectrum the effect of neutrino
perturbations and exact time-dependent dynamics at late times can be accounted for by a shift in
the one-loop EFT counterterm, Δγ̅1 ≃ - 0.2 Mpc2/h
2. We find
percent agreement between the perturbative and N-body results up to k ≲
0.12h Mpc-1 and k ≲ 0.16h Mpc-1 at one- and two-loop order,
respectively, for all considered neutrino masses ∑mν
≤ 0.4 eV.
On the cosmological stability of the Higgs instability
Authors: De Luca Valerio , Kehagias Alex , Riotto Antonio 
Published: September 2022

Abstract
The Standard Model Higgs potential becomes unstable at large Higgs field values where its
quartic coupling becomes negative. While the tunneling lifetime of our current electroweak vacuum
is comfortably longer than the age of the universe, quantum fluctuations during inflation might
push the Higgs over the barrier, forming patches which might be lethal for our universe. We study
the cosmological evolution of such regions and find that, at least in the thin wall approximation,
they may be harmless as they collapse due to the backreaction of the Higgs itself. The presence
of the Standard Model Higgs instability can provide a novel mechanism to end inflation and to
reheat the universe through the evaporation of the black holes left over by the collapse of the
Higgs bubbles. The bound on the Hubble rate during inflation may be therefore relaxed.
Charged quark stars in metric f(R) gravity
Authors: Pretel Juan M.Z. , Arbañil José D.V. , Duarte Sergio B. , Jorás Sergio E. , Reis Ribamar R.R. 
Published: September 2022

Abstract
We provide the modified TOV equations for the hydrostatic equilibrium of charged compact stars within the metric f(R) gravitational background. We adopt the MIT bag model EoS for the dense matter and assume a charge distribution where the electric charge density ρ
ch is proportional to the standard energy density ρ. Using the Starobinsky model, we explore the role of the αR
2 term, where α is a free constant and R the Ricci scalar, on the global properties of charged stars such as radius, mass and total charge. We present the dependence of the structure of the star for several values of α and for different values of the constant parameter β ≡ ρ
ch/ρ. Remarkably, we find that the radius decreases with respect to its GR value for low central densities, while the opposite occurs in the high-central-density region. The mass measured at the surface always decreases and the maximum-total charge undergoes a substantial increase as the parameter α increases. We also illustrate the variations of the asymptotic mass as a consequence of the electric charge and the extra quadratic term.
Risk Assessment of Environmental Conditions Affecting the Useful Lifetime of Cherenkov Telescopes at El Roque de Los Muchachos Observatory
Authors: Márquez Patricia , Martínez Oibar , Gaug Markus , Miguel Miranda Jose 
Published: September 2022

Abstract
Construction and operation of ground astrophysical facilities can be affected by adverse weather conditions. Some weather risks are obvious, but still there are times when an unforeseen event distorts the perception of how relevant a climate-related risk is. On the other hand, adverse weather conditions can delay or entirely halt the construction project of an astronomical facility. The impact of weather risks becomes stronger if the facility is built at a site far from urban areas, where maintenance activities and hardware availability become more challenging. This paper aims at proposing a procedure to analyze the impact of environmental risks for an astronomical facility. This procedure is illustrated with a case study: El Roque de Los Muchachos Observatory (ORM). ORM hosts a number of large scale instruments for astrophysics research, which will significantly increase during this decade. We analyze in this paper the environmental conditions affecting the useful lifetime of Cherenkov Telescopes installed at the ORM. After a detailed analysis, we conclude that the risks of strongest magnitude are connected to wild fires. This conclusion diverges from the current risk perception, which is strongly influenced by the recent Cumbre Vieja Eruption event.
A New Polar Ring Galaxy Discovered in the COSMOS Field
Authors: Nishimura Minoru , Matsubayashi Kazuya , Murayama Takashi , Taniguchi Yoshiaki 
Published: September 2022

Abstract
In order to understand the formation and evolution of galaxies fully, it is important to study their three-dimensional gravitational potential for a large sample of galaxies. Since polar-ring galaxies (PRGs) provide useful laboratories for this investigation, we have started our detailed study of a sample of known PRGs by using the data set obtained by the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP). During the course of this study, we have discovered a new PRG, identified as SDSS J095351.58+012036.1. Its photometric redshift is estimated as z ∼ 0.2. The polar ring structure in this PRG appears to be almost perpendicular to the disk of its host galaxy without any disturbed features. Therefore, this PRG will provide us with useful information on the formation of such an undisturbed polar structure. We discuss its photometric properties in detail.
A new attention-based 3D densely connected cross-stage-partial network for motor imagery classification in BCI
Authors: Wen Yintang , He Wenjing , Zhang Yuyan 
Published: September 2022

Abstract

Objective. The challenge for motor imagery (MI) in brain-computer interface (BCI) systems is finding a reliable classification model that has high classification accuracy and excellent robustness. Currently, one of the main problems leading to degraded classification performance is the inaccuracy caused by nonstationarities and low signal-to-noise ratio in electroencephalogram (EEG) signals. Approach. This study proposes a novel attention-based 3D densely connected cross-stage-partial network (DCSPNet) model to achieve efficient EEG-based MI classification. This is an end-to-end classification model framework based on the convolutional neural network (CNN) architecture. In this framework, to fully utilize the complementary features in each dimension, the optimal features are extracted adaptively from the EEG signals through the spatial-spectral-temporal (SST) attention mechanism. The 3D DCSPNet is introduced to reduce the gradient loss by segmenting the extracted feature maps to strengthen the network learning capability. Additionally, the design of the densely connected structure increases the robustness of the network. Main results. The performance of the proposed method was evaluated using the BCI competition IV 2a and the high gamma dataset, achieving an average accuracy of 84.45% and 97.88%, respectively. Our method outperformed most state-of-the-art classification algorithms, demonstrating its effectiveness and strong generalization ability. Significance. The experimental results show that our method is promising for improving the performance of MI-BCI. As a general framework based on time-series classification, it can be applied to BCI-related fields.
One dimensional directed polymer ‘memory model’
Authors: Dotsenko Victor 
Published: September 2022

Abstract
In this paper, I propose a very simple statistical ‘memory model’ of one-dimensional directed polymers, which is capable of storing and retrieving a given random quenched trajectory. The model is defined in terms of the elastic string Hamiltonian with the local attractive potential between the dynamic and the quenched random strings. The average overlap between them is calculated as a function of the temperature and the strength of the attractive potential.
Functionalization of biomedical materials using fusion peptides for tissue regeneration
Authors: Guo Xiaolei , Ma Yuan , Ruhan A , Pan Shuo , Guo Yajuan , Shi Xinli , Gao Guobiao , Sun Lei , Wang Jiadao 
Published: September 2022

Abstract
Tissue development deformity or tissue defect is a major clinical challenge. Tissue engineering technology provides a promising solution to these problems. Among them, functional biomaterials with regenerative abilities are one of the development trends. Polypeptide is a small molecule that can be used to modify tissue engineering materials. However, the function of a single polypeptide molecule is limited and insufficient to construct comprehensive microenvironment for tissue regeneration. Fusion peptides combining two or more polypeptide molecules with different functions were expected to achieve multiple efficacies in vivo, providing a novel solution for clinical tissue regeneration engineering applications. This paper reviews the construction methods, degradation process, and biological activities of fusion peptides, and presents recent global research progress and prospects concerning fusion peptides. It provides a reference helping to guide the future exploration and development of fusion peptide-based functional biomaterials for tissue engineering.
The SAGEX review on scattering amplitudes Chapter 2: An invitation to color-kinematics duality and the double copy
Authors: Bern Zvi , Carrasco John Joseph , Chiodaroli Marco , Johansson Henrik , Roiban Radu 
Published: September 2022

Abstract
Advances in scattering amplitudes have exposed previously-hidden color-kinematics and double-copy structures in theories ranging from gauge and gravity theories to effective field theories such as chiral perturbation theory and the Born–Infeld model. These novel structures both simplify higher-order calculations and pose tantalizing questions related to a unified framework underlying relativistic quantum theories. This introductory mini-review article invites further exploration of these topics. After a brief introduction to color-kinematics duality and the double copy as they emerge at tree and loop-level in gauge and gravity theories, we present two distinct examples: (1) an introduction to the web of double-copy-constructible theories, and (2) a discussion of the application of the double copy to calculation relevant to gravitational-wave physics.
Effects of Cooling Methods on the Properties of Concrete with Metakaolin after Thermal Exposure
Authors: Ibeabuchi V. T. , Nwoji C. U. , Eneh B. C. 
Published: September 2022

Abstract
Metakaolin (MK) have been used in concrete as supplementary cementitious materials (SCMs) due to their economic and environmental benefits. Consequently, the use of MK in concrete production contributes to the overall reduction of CO2 release in the environment. However, for a sustainable built environment, material resistance to thermal exposure is of concern. Previous research have studied the performance of MK at elevated temperature, but there is little or no literature on the effect of cooling methods on concrete structures with MK subjected to varying temperature. Hence, this research investigates the effects of cooling methods on the properties of concrete incorporating MK after thermal treatment (fire). Raw MK was calcined, ground and analyzed using XRD and XRF. 15%MK were used to replace cement. Concrete properties (crushing resistance, density, compressive strength) for water and air cooling methods were determined and compared to a control pure concrete. The heating temperatures were 200°C, 350 °C, 550 °C and 750 °C respectively. The incorporation of MK improved properties of the hardened concrete. Charts and tables showing the effects of MK on the concrete properties investigated were presented. The minimum strength obtained was 28.09 N/mm2 during water cooling and maximum strength 35.20N/mm2 during air cooling. The most enhancing effect of Mk as a replacement material was observed in all the cooling methods considered. Water cooling method was found to have caused severe strength reduction in the concrete structure. MK concrete performs better than pure concrete under aircooling method after thermal exposure, hence, can be adopted for fire aggressive environment.