bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of surface roughness effects on the dynamic performance of electromagnetic nano-resonators
Authors: Koochi Ali , Goharimanesh Masoud , Gharib Mohammad Reza 
Published: April 2024

Abstract
Here, we expose the influence of surface roughness on the dynamics of electromagnetic nano-resonators. To this end, the continuum field equations of an electromechanical nano-resonator subjected to an external magnetic flux are formulated. The developed model considers surface integrity, including surface roughness, waviness, and altered layer. Also, the influence of residual stresses of the extreme surfaces of the resonator is incorporated in the proposed model. It was revealed that the surface roughness significantly tailors the dynamic stability of the resonator, as the voltage that onsets the pull-in instability of the resonator decreases as the surface roughness increases, which thus indicates the necessity of particular calibrations of nano-resonators for surface roughness. To investigate the problem and the effect of factors such as magnetic field intensity, roughness, and beam surface thickness on the pull-in voltage, we have performed an analysis using the Taguchi method and analysis of variance. The results show that the intensity of the magnetic field has the most significant effect on pull-in voltage. Also, the more accurate results show on the resonance frequency; with the increase of the input voltage to the beam, the impact of increasing the intensity of the magnetic field and other factors increases. The rest of the paper proposes a linear and non-linear model to express the pull-in voltage according to the investigated factors.
Superfluid Mott-insulator quantum phase transition in an open cavity optomagnonic system
Authors: Meng Zhuang-Zhuang , Liu Lei , Tan Lei 
Published: April 2024

Abstract
We investigated the superfluid Mott-insulator phase transition within an open coupled cavity optomagnonic array system. Based on the quasibosonic approach and employing perturbation approximation and mean-field theory, we obtain the time-dependent analytical superfluid order parameter. Our analysis revealed that dissipation induces decoherence within the system, while a strong magnon-cavity coupling enhances coherence significantly. Moreover, we explored the mechanisms by which increasing the magnon-cavity coupling strength drives the system towards the superfluid phase. The work holds significant guidance for the study of superfluidMott insulator phase transition under dissipative conditions, and providing a reliable reference for experimental implementation in open quantum systems.
Macroscopic quantum response to gravitational waves
Authors: Ito Asuka , Kitano Ryuichiro 
Published: April 2024

Abstract
We study the excitation of a one-electron quantum cyclotron by
gravitational waves. The electron in such as a penning trap is prepared to
be at the lowest Landau level, which has an infinite
degeneracy parameterized by the spread of the wave function in position space. We find that the excitation rate from the ground state to the first excited state is enhanced by the size of the electron wave function: an electron with a larger wave function feels gravitational waves more. As a consequence, we derive a good sensitivity to gravitational waves at a macroscopic one-electron quantum cyclotron.
Modelling Einstein cluster using Einasto profile
Authors: Acharyya Ritwik , Banerjee Pritam , Kar Sayan 
Published: April 2024

Abstract
We demonstrate a general relativistic approach to model dark matter halos using the Einstein cluster, with the matter stress-energy generated by collisionless particles moving on circular geodesics in all possible angular directions and orbital radii. Such matter, as is known, allows an anisotropic pressure profile with non-zero tangential but zero radial pressure. We use the Einasto density profile for the Einstein cluster. Analytical studies on its properties (metric functions) and stability issues are investigated. Further, to establish this model (with the Einasto profile) as one for a dark matter halo,
we use the SPARC galactic rotation curve data and estimate the best-fit values for the model parameters. General relativistic features (beyond the Keplerian velocities) such as the tangential pressure profile, are quantitatively explored. Thus, Einstein clusters with the Einasto profile, which tally well with observations, may be considered as a viable model for dark matter halos.
Hamiltonian analysis of metric-affine-R
2 theory
Authors: Glavan Dražen , Zlosnik Tom , Lin Chunshan 
Published: April 2024

Abstract
Determining the number of propagating degrees of freedom in
metric-affine theories of gravity requires the use of Hamiltonian
constraint analysis, except in some subclasses of theories. We
develop the technicalities necessary for such analyses and
apply them to the Weyl-invariant and projective-invariant
case of metric-affine-R
2 theory that is known to propagate
just the graviton. This serves as a check of the formalism
and a case study where we introduce appropriate ADM variables
for the distortion 3-tensor tensor and its time derivatives,
that will be useful when analyzing more general metric-affine
theories where the physical spectrum is not known.
Observations on spontaneous chiral symmetry breaking and the mass gap of QCD in finite volume
Authors: Meng Xiaolan , Hu Bolun , Yang Yi-Bo 
Published: April 2024

Abstract
We present a lattice quantum chromodynamics (QCD) simulation with 2 + 1 + 1 flavor full QCD ensembles using near-physical quark masses and different spatial sizes L, at a ∼ 0.055 fm. The results show that the scalar and pesudoscalar 2-point correlator with a valence pion mass of approximately 230 MeV become degenerated at L ≤ 1.0 fm, and such an observation suggests that the spontaneous chiral symmetry breaking disappears effectively at this point. At the same time, the mass gap between the nucleon and pion masses remains larger than ΛQCD in the entire L ∈ [0.2, 0.7] fm range.
Massive Dirac particles based on gapped graphene with Rosen–Morse potential in a uniform magnetic field
Authors: Kalani A. , Amani Alireza , Ramzanpour M. A. 
Published: April 2024

Abstract
We explore the gapped graphene structure in the two-dimensional plane in the presence of the Rosen–Morse potential and an external uniform magnetic field. In order to describe the corresponding structure, we consider the propagation of electrons in graphene as relativistic fermion quasi-particles, and analyze it by the wave functions of two-component spinors with pseudo-spin symmetry using the Dirac equation. Next, to solve and analyze the Dirac equation, we obtain the eigenvalues and eigenvectors using the Legendre differential equation. After that, we obtain the bounded states of energy depending on the coefficients of Rosen–Morse and magnetic potentials in terms of quantum numbers of principal n and spin–orbit k. Then, the values of the energy spectrum for the ground state and the first excited state are calculated, and the wave functions and the corresponding probabilities are plotted in terms of coordinates r. In what follows, we explore the band structure of gapped graphene by the modified dispersion relation and write it in terms of the two-dimensional wave vectors Kx
and Ky
. Finally, the energy bands are plotted in terms of the wave vectors Kx
and Ky
with and without the magnetic term.
The Influence of the Sun and Moon on the Observation of Very High Energy Gamma-ray Sources Using EAS Arrays
Authors: Wen Tao , Chen Songzhan , Dai Benzhong 
Published: April 2024

Abstract
With great advance of ground-based extensive air shower arrays, such as LHAASO and HAWC, many very high energy (VHE) gamma-ray sources have been discovered and are being monitored regardless of the day and the night. Hence, the Sun and Moon would have some impacts on the observation of gamma-ray sources, which have not been taken into account in previous analysis. In this paper, the influence of the Sun and Moon on the observation of very high energy gamma-ray sources when they are near the line of sight of the Sun or Moon is estimated. The tracks of all the known VHE sources are scanned and several VHE sources are found to be very close to the line of sight of the Sun or Moon during some period. The absorption of very high energy gamma rays by sunlight is estimated with detailed method and some useful conclusions are achieved. The main influence is the block of the Sun and Moon on gamma rays and the shadow on the cosmic ray background. The influence is investigated considering the detector angular resolution and some strategies on data analysis are proposed to avoid the underestimation of the gamma-ray emission.
Deformation of power law in the double Pareto distribution using uniformly distributed observation time
Authors: Yamamoto Ken , Bando Takashi , Yanagawa Hirokazu , Yamazaki Yoshihiro 
Published: April 2024

Abstract
The double Pareto distribution is a heavy-tailed distribution with a power-law tail, that is generated via geometric Brownian motion with an exponentially distributed observation time. In this study, we examine a modified model wherein the exponential distribution of the observation time is replaced with a continuous uniform distribution. The probability density, complementary cumulative distribution, and moments of this model are exactly calculated. Furthermore, the validity of the analytical calculations is discussed in comparison with numerical simulations of stochastic processes.
Revised Enskog equation for hard rods
Authors: Bulchandani Vir B 
Published: April 2024

Abstract
We point out that Percus’s collision integral for one-dimensional hard rods (Percus 1969 Phys. Fluids
12 1560–3) does not preserve the thermal equilibrium state in an external trapping potential. We derive a revised Enskog equation for hard rods and show that it preserves this thermal state exactly. In contrast to recent proposed kinetic equations for dynamics in integrability-breaking traps, both our kinetic equation and its thermal states are explicitly nonlocal in space. Our equation differs from earlier proposals at third order in spatial derivatives and we attribute this discrepancy to the choice of collision integral underlying our approach.
Design and measurements of SMAUG1, a prototype ASIC for voltage measurement using noise distribution
Authors: Węgrzyn Grzegorz , Szczygieł Robert 
Published: April 2024

Abstract
We present the implementation of the indirect voltage measurement using a noise distribution algorithm [1] in the prototype application-specific integrated circuit (ASIC) SMAUG_ND_1 designed in CMOS 28 nm technology. The chip implements the matrix of 7×7 pixels with the size of 68×68 μm. Each pixel contains eight independent comparators implementing the described algorithm and optional correlated-double-sampling method. The paper describes the ASIC architecture and briefly presents preliminary test results and encountered problems.
Electrical/piezoresistive effects in bent Alpide MAPS
Authors: Rossewij M.J. , Okkinga E.M. , Naqvi H.M. , Barthel R.G.E. , Alving S.R. ,   the ALICE collaboration
Published: April 2024

Abstract
The ITS3 upgrade baseline design employs MAPS (Monolithic Active Pixel Sensor) in bent state. Bending experiments with the existing ITS2 MAPS (=Alpide chip) show it remains functional but with relative large analog supply current changes. It is shown that by the piezoresistive effect, rotation of current mirror FETs can be responsible which was confirmed after validating the layout. Measured Gauge Factor has proper sign but is 3 times lower than typical values derived from literature. The magnitude of the measured strain induced PMOS V
th
shift is as expected but the sign differs for compressive strain with some of the literature.
Using machine learning to separate Cherenkov and scintillation light in hybrid neutrino detector
Authors: Bat A. 
Published: April 2024

Abstract
This research investigates the separation of Cherenkov and
Scintillation light signals within a simulated Water-based Liquid
Scintillator (WbLS) detector, utilizing the XGBoost machine learning
algorithm. The simulation data were gathered using the Rat-Pac
software, which was built on the Geant4 architecture. The use of the
WbLS medium has the capability to generate both Scintillation and
Cherenkov light inside a single detector. To show the separation
power of these two physics events, we will use the supervised
learning approach. The assessment utilized a confusion matrix,
classification report, and ROC curve, with the ROC curve indicating
a performance result of 0.96 ± 1.2× 10-4. The research
also aimed to identify essential parameters for effectively
distinguishing these physics events through machine learning. For
this, the study also introduced the SHAP methodology, utilizing game
theory to assess feature contributions. The findings demonstrated
that the number of hits has a significant effect on the trained
model, while the mean hit time has a somewhat smaller impact. This
research advances the utilization of AI and simulation data for
accurate Cherenkov and Scintillation light separation in neutrino
detectors.
Time resolution of a SiGe BiCMOS monolithic silicon pixel detector without internal gain layer with a femtosecond laser
Authors: Milanesio M. , Paolozzi L. , Moretti T. , Latshaw A. , Bonacina L. , Cardella R. , Kugathasan T. , Picardi A. , Elviretti M. , Rücker H. , Cardarelli R. , Cecconi L. , Fenoglio C.A. , Ferrere D. , Gonzalez-Sevilla S. , Iodice L. , Kotitsa R. , Magliocca C. , Nessi M. , Pizarro-Medina A. , Sabater Iglesias J. , Semendyaev I. , Saidi J. , Vicente Barreto Pinto M. , Zambito S. , Iacobucci G. 
Published: April 2024

Abstract
The time resolution of the second monolithic silicon pixel
prototype produced for the MONOLITH H2020 ERC Advanced project was
studied using a femtosecond laser. The ASIC contains a matrix of
hexagonal pixels with 100 μm pitch, readout by low-noise and
very fast SiGe HBT frontend electronics. Silicon wafers with
50 μm thick epilayer with a resistivity of 350 Ωcm
were used to produce a fully depleted sensor. At the highest
frontend power density tested of 2.7 W/cm2, the time resolution
with the femtosecond laser pulses was found to be 45 ps for signals
generated by 1200 electrons, and 3 ps in the case of 11k electrons,
which corresponds approximately to 0.4 and 3.5 times the most
probable value of the charge generated by a minimum-ionizing
particle. The results were compared with testbeam data taken with
the same prototype to evaluate the time jitter produced by the
fluctuations of the charge collection.
Comparison of methods to aggregate climate data to predict crop yield: an application to soybean
Authors: Chen Mathilde , Guilpart Nicolas , Makowski David 
Published: April 2024

Abstract
High-dimensional climate data collected on a daily, monthly, or seasonal time step are now commonly used to predict crop yields worldwide with standard statistical models or machine learning models. Since the use of all available individual climate variables generally leads to calculation problems, over-fitting, and over-parameterization, it is necessary to aggregate the climate data used as predictors. However, there is no consensus on the best way to perform this task, and little is known about the impacts of the type of aggregation method used and of the temporal resolution of weather data on model performances. Based on historical data from 1981 to 2016 of soybean yield and climate on 3447 sites worldwide, this study compares different temporal resolutions (daily, monthly, or seasonal) and dimension reduction techniques (principal component analysis (PCA), partial least square regression, and their functional counterparts) to aggregate climate data used as inputs of machine learning and linear regression (LR) models predicting yields. Results showed that random forest models outperformed and were less sensitive to climate aggregation methods than LRs when predicting soybean yields. With our models, the use of daily climate data did not improve predictive performance compared to monthly data. Models based on PCA or averages of monthly data showed better predictive performance compared to those relying on more sophisticated dimension reduction techniques. By highlighting the high sensitivity of projected impact of climate on crop yields to the temporal resolution and aggregation of climate input data, this study reveals that model performances can be improved by choosing the most appropriate time resolution and aggregation techniques. Practical recommendations are formulated in this article based on our results.
Permafrost thermal dynamics at a local scale in northern Da Xing’anling Mountains
Authors: Chang Xiaoli , Jin Huijun , Zhang Yanlin , Li Xiaoying , He Ruixia , Li Yan , Lü Lanzhi , Wang Hongwei 
Published: April 2024

Abstract
Permafrost in Northeastern China is not only controlled by latitude and elevation, but also locally environmental factors, such as vegetation cover and human activities. During 2009–2022, thinning active layer, increasing annual maximum frost depth in talik zones and lowering ground temperature above the depth of dividing point (DDP) between permafrost cooling and warming have been observed in many places, possibly due to the global warming hiatus (GWH). However, the responses of permafrost below DDP did not show a clear trend to the GWH, despite an evident ground warming. The warming and degradation of permafrost below DDP in the Da Xing’anling Mountains are more strongly influenced by the overall climate warming than by regional GWH. This study improves our understanding of changing permafrost temperature and its drivers. It also helps to provide data support and references for the management of the ecological and hydrological environment of the northern Da Xing’anling Mountains and the Heilongjiang-Amur River Basin.
Effect of biosynthesised silver nanoparticles as sterilant on physiological and biochemical characteristics in micropropagation of Musa sapientum L.
Authors: Phongtongpasuk Siriporn , Liamnimit Thitikamon , Buakaew Thanyaporn , Homsuwan Manthita , Khamphong Suppanuch , Yongvanich Niti 
Published: April 2024

Abstract
Green synthesis of silver nanoparticles (AgNPs) using fruit peel extract has gained considerable interest, as it is an eco-friendly and cost-effective method. However, studies on the use of biosynthesised AgNPs to sterilise plant tissue culture medium as an alternative to autoclaving are limited. Thus, this study presented a biogenic method for synthesising AgNPs using mangosteen peel extract. The biosynthesised AgNPs were characterised by different spectroscopic and microscopic methods, including UV-visible spectroscopy (UV-vis), Fourier transform infrared spectroscopy, X-ray diffraction, transmission electron microscopy, and energy dispersive x-ray spectroscopy. The results showed that the phytochemical constituents in the mangosteen peel extract (MPE) helped to reduce Ag+ from AgNO3 to metallic silver (Ag0) and stabilise the particles. The formation of biogenic AgNPs was monitored by UV-vis demonstrating a characteristic peak at 425 nm. The AgNPs were spherical and crystalline. The size distribution of the biogenic AgNPs was 5–47 nm with an average diameter of 23.1 ± 6.8 nm. To evaluate the potential of the AgNPs for use as an alternative method to sterilise the culture medium, the antimicrobial activity of the biosynthesised AgNPs (0.1, 1, 10, 100, and 1000 mg l−1) was tested in the banana culture medium. The most feasible concentration of AgNPs to decontaminate the culture medium was 100 mg l−1. Moreover, the results demonstrated that adding 100 mg l−1 AgNPs to the culture medium promoted the growth of the plantlets without any toxic effects. Thus, biogenic AgNPs are a potential biocide to sterilise in vitro banana culture medium.
Touched by Fashion: On Feeling What we Wear
Authors: Di Summa Laura T 
Published: April 2024

Abstract
Fashion is immediately associated with looks. Its popularity and its most consumerist sides thrive in our current culture of image, further highlighting the connection between fashion and an aesthetic that is quintessentially visual. While it is impossible to deny such a connection, this paper explores the relationship between fashion and touch and fashion and “feel”, two terms that, albeit related, deserve independent consideration. I will begin by emphasizing the importance of seeing fashion in relation to a performative understanding of identity, which is experiential, embodied, situated, and, quite simply, “in movement”. Such an understanding, crucial for a better grasp of sartorial design, is inevitably linked to a tactile understanding of fashion: from the selection of fabrics to the silhouettes and cuts that allow a sketch to move to a garment in three dimensions. But, crucially, a performative understanding of identity is also the starting point for a reflection on touch and fashion in our everyday tasks and judgments, judgments that often move from the aesthetic sphere to other value areas and the broader socio-political context. To further cement my arguments, I will conclude the paper with two case studies: sportswear and maternity wear.
A Multicentric and Retrospective Clinical Study: 2 Year Follow-up Results for Breast Surgery With Perle Smooth Opaque Silicone Breast Implants
Authors: Jauffret Jean-Luc 
Published: April 2024

Abstract

Background
For breast surgery, there are a number of implants available that offer different options, such as shape, surface characteristics, gel fillers, and size/profile to meet the diverse needs of the patient population. Each implant option has its own advantages and disadvantages, and the individual patient’s needs should be taken into account when making choices.

Objectives
To conduct an assessment of the safety, performance, and satisfaction rates through a 2-year follow-up study for the Perle mammary implant (Nagor Ltd, Glasgow, Scotland, United Kingdom).

Methods
A retrospective, observational, multicenter, noncomparative study was conducted from March 2023 to June 2023. The collection of data took place in 5 centers across France and Italy. Patients included in the study received the evaluated device between October 2020 and June 2021 for cosmetic and medical indications.

Results
Of the 97 patients included in the study, only 9 patients reported complications during the 2 years following the surgery. The overall complication rate was 9.28%. All patients and surgeons were satisfied or very satisfied with the surgery and the implant.

Conclusions
This patient cohort showed a rate of complications consistent with the range of other smooth implants after 2 years of follow-up and a high rate of both patient and surgeon satisfaction.

Level of Evidence: 4