bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vibration control of a bi-disk rotor using electro-rheological elastomers
Authors: Sakly Faiza , Chouchane Mnaouar 
Published: April 2022

Abstract
Smart materials are widely used for vibration control of rotating machines. This paper considers the control of vibration of a bi-disk rotor bearing system using electro-rheological elastomer (ERE) rings inserted in the bearings. The bi-disk rotor is selected so that vibration response can be studied in a rotating speed range which includes the first two critical speeds. The rotor bearing system is modelled using the finite element method taking into account the gyroscopic effect of the rotor and the internal damping of the shaft. The influence of the active elastomer when it is subjected to different levels of the electric field on the critical speeds is first investigated. Then, the vibration response is determined for both steady-state and transient running up and running down conditions. Simulation results show the potentials of the ERE when used in passive mode for vibration reduction in the steady-state and transient running up and down conditions of the rotor system. In the active mode, the application of an electric field to the EREs shifts slightly the resonant speeds to higher frequencies due to the increase of the stiffness of the bearings while increasing the vibration amplitudes in the steady-state and transient running up and down conditions in the vicinity of the resonant speeds. Nevertheless, it has been shown that the rotor steady-state vibration response can be reduced at other rotating speed range when an electric field is applied.
Interrelation of nonclassicality conditions through stabiliser group homomorphism
Authors: Asthana Sooryansh 
Published: April 2022

Abstract
In this paper, we show that coherence witness for a single qubit itself yields conditions for nonlocality and entanglement inequalities for multiqubit systems. It also yields a condition for quantum discord in two-qubit systems. It is shown by employing homomorphism among the stabiliser group of a single qubit and those of multi-qubit states. Interestingly, globally commuting homomorphic images of single-qubit stabilisers do not allow for consistent assignments of outcomes of local observables. We employ these observables for the construction of conditions for nonlocality, entanglement, and quantum discord. As an application, we show that CHSH inequality can be straightforwardly generalised to nonlocality inequalities for multiqubit GHZ states. It also reconfirms the fact that quantumness prevails even in the large N-limit if coherence is sustained. The mapping provides a way to construct many nonlocality inequalities, given a seed inequality. This study gives us a motivation to gain better control over multiple degrees of freedom and multi-party systems. It is because, in multi-party systems, the same nonclassical feature, viz, coherence may appear in many avatars.
Measurement of two-photon position–momentum Einstein–Podolsky–Rosen correlations through single-photon intensity measurements
Authors: Bhattacharjee Abhinandan , Meher Nilakantha , Jha Anand K 
Published: April 2022

Abstract
The measurement of the position–momentum Einstein–Podolsky–Rosen (EPR) correlations of a two-photon state is important for many quantum information applications ranging from quantum key distribution to coincidence imaging. However, all the existing techniques for measuring the position–momentum EPR correlations involve coincidence detection and thus suffer from issues that result in less accurate measurements. In this article, we propose and demonstrate an experimental scheme that does not require coincidence detection for measuring the EPR correlations. Our technique works for two-photon states that are pure, irrespective of whether the state is separable or entangled. We theoretically show that if the pure two-photon state satisfies a certain set of conditions then the position–momentum EPR correlations can be obtained by doing the intensity measurements on only one of the photons. We experimentally demonstrate this technique for pure two-photon states produced by type-I spontaneous parametric down-conversion, and to the best of our knowledge, we report the most accurate experimental measurement of position–momentum EPR correlations.
Effect of nickel substitution on structural and dielectric properties of Mg-Zn based spinel ferrite nanoparticles
Authors: Ali Sibtain , Khalid Muhammad , Nazir Ghazanfar , Naz Kiran , Khan Junaid Kareem , Akhtar Muhammad Saeed , Abbas Nasir 
Published: April 2022

Abstract
Herein, we used sol-gel auto combustion technique for fabrication of the series of nickel substituted magnesium-zinc spinel ferrite (Mg0.3NixZn0.7−xFe2O4) nanoparticles by varying nickel concentrations as 0.00 ≤ x ≤ 0.20. X-ray diffraction (XRD) investigation evidenced that the synthesized nanomaterials are of spinel ferrite nature with secondary phase. Moreover, the crystallite size was observed to be in the range from 13 to 17 nm as estimated by Scherrer’s formula. It has been found that the structural parameters (e.g., bulk density, lattice constant, micro strain, crystallite size, surface area etc) of the as-synthesized magnesium-zinc spinel ferrite nanoparticles have been strongly influenced by doping content of nickel. Moving further, we have investigated the dielectric properties of the prepared nanoparticles in the frequency range from 20 Hz to 20 MHz. The remarkable electric modulus, impedance and dielectric properties of the prepared spinel ferrites made these materials a potential candidate for low- and high-frequency applications.
Opto-electronic, and thermoelectric properties of chalcopyrite compounds HgGa2X4(X = S, Se) for solar cell applications
Authors: Zanib Maiza , Mushahid Nohseen , Asghar Mazia , Manzoor Mumtaz , Iqbal M Waqas , Noor N A , Dahshan A 
Published: April 2022

Abstract
The ab-initio method has been applied to explore the chalcopyrite compounds HgGa2X4 (X = S, Se) structural, optoelectronics, and thermoelectric characteristics. We attained the optimized parameters of lattice constant by employing Perdew–Burke–Ernzerhof generalized gradient approximation (PBEsol-GGA) and computed the values are approximately equal to experimental values. To calculate accurate bandgap values of both compounds, we used Trans along with Bhala reformed Becke and Johnson (TB-mBJ). Remarkably, both HgGa2X4 (X = S, Se) compounds yield a direct bandgap nature, having calculated values 2.80 eV and 2.30 eV, respectively, which are accurately comparable to experimental values. It also observed that the strong optical absorption is below 3.0 eV, which made both compounds favorable for solar cell device applications. In last, we make a detailed investigation of thermoelectric characteristics in terms of electric and thermal conductivity, power factor, and figure of merit (ZT) with the help of the BoltzTrap code. To check the material’s thermal stability, we accomplished the thermal parameters against temperatures.
A measurement of the scale of homogeneity in the early Universe
Authors: Camacho-Quevedo Benjamin , Gaztañaga Enrique 
Published: April 2022

Abstract
We present the first measurement of the homogeneity index, ℋ, a fractal or Hausdorff dimension of the early Universe from the Planck CMB temperature variations δT in the sky. This characterization of the isotropy scale is model-free and purely geometrical,
independent of the amplitude of δT.
We find evidence of homogeneity (ℋ = 0) for scales larger than
θℋ = 65.9 ± 9.2 deg
on the CMB sky. This finding is at odds with the ΛCDM prediction, which assumes a scale invariant infinite universe.
Such anomaly is consistent with the well known low quadrupule amplitude in the angular δT spectrum, but quantified in a direct and model independent way. We estimate the significance of our finding for ℋ = 0 using a principal component analysis from the sampling variations of the observed sky. This analysis is validated with theoretical prediction of the covariance matrix and simulations, booth base purely on data or in the ΛCDM prediction.
Assuming translation invariance (and flat geometry) we can convert the isotropy scale θℋ into a (comoving) homogeneity scale which is very close to the trapped surface generated by the observed cosmological constant Λ.
Dominance of parent ion formation in the ultrafast, intense-field ionization of the valence isoelectronic molecules

CO2

and

CS2
Authors: Beck Joshua , Uiterwaal Cornelis J G J 
Published: April 2022

Abstract
We report on the photodynamics of the valence isoelectronic molecules carbon dioxide (

C

O

2

) and carbon disulfide (

C

S

2

) under intense-field, single-molecule conditions in focused 50 fs, 800 nm laser pulses. Ion mass spectra are recorded as a function of intensity in the range from

8
×

10

12

to

9
×

10

13

W

c

m

−

2

. Ion yields are measured in the absence of the focal volume effect without need for data deconvolution. In both targets, formation of the molecular parent ion (

M

+

) is by far the dominant process; the yield of other species is only a few percent. We observe that the yield of this parent ion is strictly proportional to an integer power of the intensity, until saturation sets in. We conclude the parent ion is formed through multiphoton single-electron ionization, with the photoelectron originating from the doubly degenerate, non-bonding highest-occupied molecular orbital (HOMO). The non-bonding nature of this HOMO explains the remarkable stability of the parent ion.
Research on a time scale algorithm based on multi-dimensional weighted average
Authors: Liu Yang , Xu Bo , Yin Jie , Shen Dan , Ouyang Mingjun , Zheng Zehao , Zhu Xiangwei 
Published: April 2022

Abstract
The widespread availability of high-performance clocks has motivated interest in time scale algorithms. There are various time scale algorithms in use today, ranging in application from scientific to commercial. The weighted average algorithm has been widely used to generate an ensemble time scale. It takes one weight for each clock according to the stability or predictability to generate the ensemble time scale. However, one weight cannot reflect the long-term, mid-term and short-term stability performance of the clock simultaneously. Therefore, it cannot improve the long-term, mid-term and short-term stability at the same time. To solve this problem, a multi-dimensional weighted average algorithm is proposed in this paper, which decomposes the clock difference into three dimensions and gets weights in three dimensions to give consideration to improve long-term, mid-term and short-term stability simultaneously. The final results of simulation and experiment demonstrate that the algorithm proposed in this paper improved Allan deviations of 3.94 × 10−15 on daily and 7.86 × 10−15 on monthly averaging times with respect to those obtained from AT1 and ALGOS, respectively.
A 3D in vitro model of the device-tissue interface: functional and structural symptoms of innate neuroinflammation are mitigated by antioxidant ceria nanoparticles
Authors: Atherton Elaina , Hu Yue , Brown Sophie , Papiez Emily , Ling Vivian , Colvin Vicki L , Borton David A 
Published: April 2022

Abstract

Objective. The recording instability of neural implants due to neuroinflammation at the device-tissue interface is a primary roadblock to broad adoption of brain-machine interfaces. While a multiphasic immune response, marked by glial scaring, oxidative stress (OS), and neurodegeneration, is well-characterized, the independent contributions of systemic and local ‘innate’ immune responses are not well-understood. We aimed to understand and mitigate the isolated the innate neuroinflammatory response to devices. Approach. Three-dimensional primary neural cultures provide a unique environment for studying the drivers of neuroinflammation by decoupling the innate and systemic immune systems, while conserving an endogenous extracellular matrix and structural and functional network complexity. We created a three-dimensional in vitro model of the device-tissue interface by seeding primary cortical cells around microwires. Live imaging of both dye and Adeno-Associated Virus (AAV) - mediated functional, structural, and lipid peroxidation fluorescence was employed to characterize the neuroinflammatory response. Main results. Live imaging of microtissues over time revealed independent innate neuroinflammation, marked by increased OS, decreased neuronal density, and increased functional connectivity. We demonstrated the use of this model for therapeutic screening by directly applying drugs to neural tissue, bypassing low bioavailability through the in vivo blood brain barrier. As there is growing interest in long-acting antioxidant therapies, we tested efficacy of ‘perpetual’ antioxidant ceria nanoparticles, which reduced OS, increased neuronal density, and protected functional connectivity. Significance. Our three-dimensional in vitro model of the device-tissue interface exhibited symptoms of OS-mediated innate neuroinflammation, indicating a significant local immune response to devices. The dysregulation of functional connectivity of microcircuits surround implants suggests the presence of an observer effect, in which the process of recording neural activity may fundamentally change the neural signal. Finally, the demonstration of antioxidant ceria nanoparticle treatment exhibited substantial promise as a neuroprotective and anti-inflammatory treatment strategy.
Effect of anisotropic fast ions on internal kink stability in DIII-D negative and positive triangularity plasmas
Authors: Liu D. , Liu Y.Q. , Heidbrink W.W. , Van Zeeland M.A. , Zhou L.N. , Austin M.E. , Marinoni A. 
Published: April 2022

Abstract
Recent DIII-D experiments show that sawtooth stability is strongly affected by anisotropic fast ions from neutral beam injection (NBI) in both negative and positive triangularity plasmas. Fast ions from co-current NBI are stabilizing for the sawtooth stability, resulting in longer sawtooth periods. On the other hand, fast ions from counter-current NBI are destabilizing, leading to small and frequent sawteeth. The relative change of sawtooth period and amplitude is more than a factor of two. These observations appear to hold in both plasma shapes. Non-perturbative toroidal modeling, utilizing the magnetohydrodynamic-kinetic hybrid stability code MARS-K (Liu et al 2008 Phys. Plasmas 15 112503), reveals an asymmetric dependence of the stability of the n = 1 (n is the toroidal mode number) internal kink mode on the injection direction of NBI, being qualitatively consistent with the experimentally observed sawtooth behavior. The MARS-K modeling results suggest that anisotropic fast ions affect the mode growth rate and frequency through both adiabatic and non-adiabatic contributions. The asymmetry of the internal kink mode instability relative to the NBI direction is mainly due to the non-adiabatic contribution of passing fast ions, which stabilize (destabilize) the internal kink with the co-(counter-) current NBI as compared to the fluid counterpart. However, finite orbit width (FOW) correction to passing particles partially cancels the asymmetry. Trapped particles are always stabilizing due to precessional drift resonance. Modeling also shows that fast ions affect the internal kink in a similar manner in both negative and positive triangularity plasmas, although being slightly more unstable in the negative triangularity configuration already in the fluid limit. The similarity is mainly attributed to the fact that the mode is localized in the plasma core region, with very similar eigenmode structures in both negative and positive configurations. Furthermore, MARS-K modeling indicates that other factors, such as the plasma rotation and the drift kinetic effects of thermal plasmas, weakly modify the mode stability as compared to the drift kinetic resonance effects and FOW correction of fast ions.
Design and Implementation of a Dynamic Task Mapping Algorithm Based on Hotspot Statistics
Authors: Wang Jie , Zhang Duoli , Ge Hu , Ni Wei , Song Yukun 
Published: April 2022

Abstract
In a coarse-grained heterogeneous multi-core system, the task map is responsible for allocating the cores for task execution. The existing user static mapping method has low programming friendliness. As the scale and density of system tasks increase, so does the complexity of manual programming by users, resulting in programming inefficiencies. Aiming at this problem, based on the existing heterogeneous multi-core platform, this paper studies a dynamic task mapping method with hotspot statistics, and uses the preprocessing of the mapping to reduce the time spent on the actual mapping. The hardware mapper is designed and implemented in Verilog, and the verification platform is built in the HDL environment. The experimental results show that the new mapping algorithm significantly improves the performance of the system, with an average of 32.50% and a maximum of 47.16%.
A Wireless Power Transmission System With High Misalignment Tolerance and High Efficiency for Autonomous Underwater Vehicles
Authors: Wang Zhongda , Chen Xiyou , Jin Xin 
Published: April 2022

Abstract
Based on the principle of magnetic coupling resonance, a wireless power transmission system with electromagnetic coupling mechanism based on E-type magnetic core is designed for autonomous underwater vehicle (AUV). Firstly, according to the special circular structure of AUV and the effect of seawater mobility, an electromagnetic coupling structure that can be used in AUV is proposed. The performance of the electromagnetic coupling mechanism is tested by simulation and experiment. The coupling coefficient of the coupling mechanism can reach 0.64, and it has good magnetic field confinement ability. Secondly, in order to improve the robustness of the system, the compensation network of the LCL/S topology is used. Finally, an experimental platform is built. When the incandescent lamp is used as the load, the output power is 120W, and the efficiency can reach 96%. When the load changes, the output voltage can remain constant. When the relative positions of the transmitting and receiving coils are changed at the same time, axial misalignment and rotational misalignment experiments are carried out. In the experiment, the output voltage is relatively stable, which indicates that the system has high misalignment tolerance ability.
Research on Modeling of Underground Path Loss Prediction Based on SA-SVM
Authors: Wang Anyi , Lei Shijie 
Published: April 2022

Abstract
In view of the serious refraction and reflection of radio wave transmission in the complex environment of coal mines, serious multipath fading occurs, which affects the performance of the communication system. Therefore, we presents a simulated annealing algorithm to optimize the kernel function and regularization function parameters in LS-SVM, and establishes a wireless channel path loss model based on LS-SVM. Comparing the optimized and improved model based on the SA algorithm with the traditional model, the MATLAB simulation experiment results show that the SA+LS-SVM model is significantly superior to the pre-optimized model and the traditional model in prediction accuracy, and can more effectively predict the fading change to the channel Condition.
Time-domain modelling and performance research of millimeter-wave all-digital phase-locked loop
Authors: Xu Shuning , Tang Lu , Yang Junhao 
Published: April 2022

Abstract
In this paper, a modified time-domain model of millimeter-wave all-digital phase-locked loop (ADPLL) is implemented. In order to reflect the true behaviour of ADPLL, a quantified output digitally controlled-oscillator (DCO) with time domain jitter is proposed. In this ADPLL time-domain model, the DCO model can only output discrete frequency points to imitate the quantization effect of true DCO, and the overlap of different level tuning band is added into this model to imitate the true situation. In addition, the DCO time domain jitter and wander are also added into this model by using the Box-Muller method. Finally, a period estimation method is used to calculate the phase power spectrum density of the output signal, and then the phase noise is obtained through subsequent processing.
Net Clusting Based Low Complexity Coarsening Algorithm In k-way Hypergraph Partitioning
Authors: Luo Guozheng , Chen Xiang , Nong Shanshan 
Published: April 2022

Abstract
With the increasing scale of integrated circuits, hypergraph partitioning is usually applied to Very Large Scale Integration (VLSI) circuit layout and other applications to reduce the computational complexity. However, if without properly coarsening, the hypergraph partitioning problem will become intractable along with the increase of the number of vertices. In this paper, we propose a coarsening algorithm in k-way hypergraph partitioning based on net clustering, where net clustering is used to obtain the initial set of vertices with higher internal similarity. Due to the property of nets connecting through vertices, the proposal can cluster the net by local search and discard unimportant vertices from net clusters to achieve high-quality solutions. The experimental results show that our proposal achieves a high quality of coarsening with lower complexity. Even as the number of partitions rises, the computation time reduction will obviously increase. In the case of setting the number of partitions as 8, our algorithm can achieve almost the same partitioning quality as traditional hMetis, but with a time consumption reduction of 50%.
Preliminary parametric analysis of the first neutrons measured with a scintillator array at SPIDER
Authors: Mario I. , McCormack O. , Zuin M. , Croci G. , Muraro A. , Giacomelli L. , Cordaro L. , Gorini G. , Perelli Cippo E. , Grosso G. , Rigamonti D. , Rebai M. , Pasqualotto R. , Tardocchi M. 
Published: April 2022

Abstract
SPIDER, the full size ITER NBI ion source, aims to prove the ITER requirements in terms of the ion source performance, a beam uniformity better than 90% and a low beam divergence. The SPIDER experiment can operate in deuterium, thus producing beam-target D-D fusion neutron emissions. These emissions can be used to evaluate the beam uniformity as well as machine parameter dependence, since the neutron flux is proportional to the beam power. To this end, a new neutron diagnostic array, consisting of a mix of seven crystal, plastic, and liquid scintillators, has been installed externally on the beam dump side of the vessel. Six of them are capable of neutron/gamma discrimination and are positioned to study the beam uniformity and allow parametric comparisons. A NaI scintillator-based gamma detector allows for the energy spectra reconstruction of incident gamma rays without neutron interference. In this work, the scintillator array’s capability and arrangement, together with first results achieved during the deuterium campaigns performed in SPIDER, are presented and discussed.
Event driven readout architecture with non-priority arbitration for radiation detectors
Authors: Gorni D.S. , Deptuch G.W. , Miryala S. , Siddons D.P. , Kuczewski A. , Rumaiz A.K. , Carini G.A. 
Published: April 2022

Abstract
A novel event driven readout architecture, EDWARD (Event Driven with Access and Reset Decoder) architecture, for highly granular pixel detectors is presented. It incorporates, inter alia, an asynchronous arbitration tree based on Seitz’ arbiters, removing the need for an imposed prioritization scheme. It also provides protection against glitches during readout. The system allows not only reading pixel activities, but also retrieving additional data, both analog and digital, from the pixels. A novel in-channel logic allows the entire readout process to be split into consecutive phases for additional flexibility. All operations are controlled by only one edge of the clock signal, seen as an acknowledge token, so there is no dead time between readouts.