bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the effect of foreign atoms occupation on the metamagnetic behaviors in MnCoSi-based alloys: taking Pt-doping as an example
Authors: Zhang Zhishuo , Bai Yuqing , Gong Yuanyuan , Chen Bin , Pan Shuang , Guo Yong , Xu Feng 
Published: March 2024

Abstract
Present research on TiNiSi-type MnCoSi-based alloys focuses on finding a suitable doping element to effectively reduce the critical magnetic field (μ
0
H
cri) required to induce a metamagnetic transition. This paper provides a guide to achieve this goal through an experimental investigation of Mn1−x
Pt
x
CoSi and MnCo1−x
Pt
x
Si alloys. In Mn1−x
Pt
x
CoSi, as x increases, μ
0
H
cri at room temperature decreases, while in MnCo1−x
Pt
x
Si, it increases. This phenomenon can be attributed to the fact that larger Pt atoms prefer Co sites over Mn sites, as predicted by our density-functional theory. Consequently, in Mn1−x
Pt
x
CoSi, larger Co atoms are extruded into the Mn atoms chain, increasing the nearest Mn–Mn distance and resulting in a reduced μ
0
H
cri. This finding suggests that transition-metal atoms with more valence electrons preferably occupy the Co site, while those with fewer valence electrons preferably occupy the Mn site. Adhering to this rule, one can easily obtain a low μ
0
H
cri and large magnetostrain under a low magnetic field by selecting a suitable foreign element and chemical formula, as demonstrated by the Mn1−x
Pt
x
CoSi alloy.
Rolling bearing degradation trend prediction based on composite multiscale grey entropy and dynamic particle filter
Authors: Cheng Li , Ma Wensuo , Gao Zuobin 
Published: March 2024

Abstract
High accuracy prediction of degradation trend provides valuable information in establishing reasonable maintenance decision-making with the goal of improving the maintenance efficiency and avoiding sudden downtime. The extraction of degradation features and the prediction algorithm are the key factors in degradation trend prediction. In this work, based on composite multiscale grey entropy (CMGE) and dynamic particle filter (PF), a novel prediction architecture is proposed to improve accuracy under different working conditions. The CMGE is proposed as the degradation feature indicator extracted from rolling bearing vibration signal. The dynamic PF is proposed to predict the degradation trend of rolling bearing. Three rolling bearing accelerated life tests were conducted to evaluate the performance of the proposed method for rolling bearing degradation trend prediction. Experimental results demonstrate CMGE has good monotonicity and weak data length dependence, which can effectively describe the degradation trend of rolling bearing, and the proposed dynamic PF achieves higher prediction accuracy than the traditional PF and GM model, respectively.
Nano-antennas with decoupled transparent leads for optoelectronic studies
Authors: Sommer Melanie , Laible Florian , Braun Kai , Goschurny Thomas , Meixner Alfred J , Fleischer Monika 
Published: March 2024

Abstract
Performing electrical measurements on single plasmonic nanostructures presents a challenging task due to the limitations in contacting the structure without disturbing its optical properties. In this work, we show two ways to overcome this problem by fabricating bow-tie nano-antennas with indium tin oxide leads. Indium tin oxide is transparent in the visible range and electrically conducting, but non-conducting at optical frequencies. The structures are prepared by electron beam lithography. Further definition, such as introducing small gaps, is achieved by focused helium ion beam milling. Dark-field reflection spectroscopy characterization of the dimer antennas shows typical unperturbed plasmonic spectra with multiple resonance peaks from mode hybridization.
Performance improvement of enhancement-mode GaN-based HEMT power devices by employing a vertical gate structure and composite interlayers*
Authors: Sun Zhonghao , Dai Jianxun , Huang Huolin , Sun Nan , Zhang Jiayu , Lei Yun , Li Dawei , Ma Kaiming , Yu Huimin , Liu Yanhong , Huang Hui , Liang Yung C 
Published: March 2024

Abstract
In this work, p-n junction vertical gate (JVG) and polarization junction vertical gate (PVG) structures are for the first time proposed to improve the performance of GaN-based enhancement-mode (E-mode) high electron mobility transistor (HEMT) devices. Compared with the control group featuring the vertical gate structure, a highly improved threshold voltage (V
th) and breakdown voltage (BV) are achieved with the assistance of the extended depletion regions formed by inserting single or composite interlayers. The structure dimensions and physical parameters for device interlayers are optimized by TCAD simulation to adjust the spatial electric field distribution and hence improve the device off-state characteristics. The optimal JVG-HEMT device can reach a V
th of 3.4 V, a low on-state resistance (R
on) of 0.64 mΩ cm2, and a BV of 1245 V, while the PVG-HEMT device exhibits a V
th of 3.7 V, an R
on of 0.65 mΩ cm2, and a BV of 1184 V, which could be further boosted when an additional field plate design is employed. Thus, the figure-of-merit value of JVG- and PVG-HEMT devices rise to 2.4 and 2.2 GW cm−2, respectively, much higher than that for the VG-HEMT control group (1.0 GW cm−2). This work provides a novel technical approach to realize higher-performance E-mode HEMTs.
Active self-powered human motion assist system
Authors: Ren Limin , Zhou Yang , Zhang Xu , Zhang Hengchuan , Tan Yisong 
Published: March 2024

Abstract
Harvesting human energy currently occurs to power wearable devices or monitor human signs, these applications make the energy harvester less applicable to and seldom used for assisting human motion. However, there is a high demand for using such collected energy with the assistance of human motion. This paper presents a novel energy harvester that is designed to collect negative work, assist human motion, and realize self-powering. An active self-powered human motion assist system (HMAS) is developed. The system consists of a human motion assist device, a flexible rack, an electronic circuit module, and a supercapacitor. The HMAS can collect negative work from the human body, provide the user with additional motion assistance, and reduce stamina consumption. A series of experiments verify that HMAS has a high negative work collection power and a high energy conversion efficiency. The average output power is 0.93 W measured by the negative work collection test bed at a simulated knee bend angle of 40° and a frequency of 2 Hz. The energy conversion efficiency is up to 48.2%. Human motion assistance experiments verify that HMAS can provide volunteers with up to 2.57% assisting moment and minimize the metabolic cost of volunteers by 6.07% compared to without wearing HMAS. This research work is proposed to contribute to the development of active self-powered exoskeleton technology. This technology can be practically applied in the fields of rehabilitation therapy, logistics transportation, and military combat.
A machine learning-based method for co-design and optimization of microwave-absorbing/load-bearing multifunctional structures
Authors: Wang Jiawen , Zhou Lilin , Fan Caizhi 
Published: March 2024

Abstract
Simultaneously considering the absorption performance and load-bearing capability is a trend in the design of multifunctional structures. Nevertheless, the collaborative design and optimization involved in this process present a challenging problem. Herein, guided by multifunctionality, a lightweight microwave-absorbing/load-bearing multifunctional structure is intelligently inversely designed based on machine learning. A co-design scheme is developed to address the contradiction between the absorption performance and load-bearing performance. An approach for rapid inverse design of metamaterial absorbers containing multilayered frequency-selective surfaces is proposed. The simulation results obtained using multi-objective optimization based on surrogate models indicate that the optimized multifunctional structure achieves more than 90% absorption in the frequency range of 2.5 GHz–18.0 GHz and simultaneously exhibits superior load-bearing performance with an out-of-plane Young’s modulus of 334.8 MPa and an out-of-plane compressive strength of 4.95 MPa, demonstrating the effectiveness of the co-design scheme. Finally, the experimental results are analysed. This study provides a reference for co-design and multi-objective optimization of similar multifunctional structures.
Localising two sub-diffraction emitters in 3D using quantum correlation microscopy
Authors: Li Shuo , Li Wenchao , Sun Qiang , Moran Bill , Brown Timothy C , Gibson Brant C , Greentree Andrew D 
Published: March 2024

Abstract
The localisation of fluorophores is an important aspect of determining the biological function of cellular systems. Quantum correlation microscopy (QCM) is a promising technique for providing diffraction unlimited emitter localisation that can be used with either confocal or widefield modalities. However, so far, QCM has not been applied to three dimensional localisation problems. Here we show that QCM provides diffraction-unlimited three-dimensional localisation for two emitters within a single diffraction-limited spot. By introducing a two-stage maximum likelihood estimator, our modelling shows that the localisation precision scales as

1

/

t

where t is the total detection time. Diffraction unlimited localisation is achieved using both intensity and photon correlation from Hanbury Brown and Twiss measurements at as few as four measurement locations. We also compare the results of (MC) simulations with the Cramér–Rao lower bound.
Quantum non-Markovianity of a qubit in presence of state dependent bath
Authors: Rashid Mehboob , Qadir Lone Muzaffar , Ganai Prince A 
Published: March 2024

Abstract
In the field of quantum information theory, the intersection of the complex dynamics related to non-Markovianity and information is a crucial frontier. Non-Markovian effects, which take memory and temporal correlations into account, challenge conventional wisdom in the fields of quantum biology, metrology, cryptography, and communication. In this work, we analyze the non-Markovian dynamics of a dephasing model in presence of initial system-bath (SB) correlations. These SB correlations are generated via projective measurements on a predefined equilibrium state. Using the non-Markovian measures based on trace distance and quantum Fisher information, it is shown that these correlations have significant impact in the non-Markovian regime at high temperatures while it does not play any role in the Markovian case. Furthermore, it is shown that the oscillatory behaviour of the decoherence function does not always show non-Markovian behaviour.
The auxiliary equation approach for solving reaction-diffusion equations
Authors: Păuna Alina-Maria 
Published: March 2024

Abstract
The paper concerns the auxiliary equation method and proposes an approach for finding the most general nonlinear term that can generalize a nonlinear differential equation, so that it keeps solutions expressed in terms of the same auxiliary equation. More precisely we will consider the second order reaction-diffusion equations and we will find the most general nolinear term of this type of equations, for which the solutions can be expressed in terms of the Riccati equation. The procedure is exemplified on Fitzhugh-Nagumo, Dodd-Bullough-Mikhailov, and Klein-Gordon models, seen as reaction-diffusion equations.
Two soliton interaction of Zakharov–Mikhailov spinor models
Authors: Gerdjikov V. S. , Kostadinov B. , Mishev S. 
Published: March 2024

Abstract
We outline the spectral properties of their Lax operators for the Zakharov-Mikhailov spinor model (ZMm) and construct their fundamental analytic solutions (FAS). Using the dressing Zakahrov-Shabat method we derive the dressing factors for the one-soliton u
1(z
1, Φ1) and u
2(z
1
, z
2, Φ1, Φ2) for the two-soliton solutions. Next we calculate the asymptotics of the dressing factors of u
1(z
1, Φ1) for z
1 → ±∞. Inserting them into u
2(z
1
, z
2, Φ1, Φ2) we find that for z
1
→ ±∞ u
2(z
1
, z
2, Φ1, Φ2) goes into one-soliton solutions but with shifted center of mass and shifted phase. Thus we conclude that the 2-soliton interactions of ZMm are purely elastic and are characterized by the above mentioned shifts.
Achieving High Efficiency: Resource sharing techniques in artificial neural networks for resource-constrained devices
Authors: Gorbounov Y , Chen H 
Published: March 2024

Abstract
Artificial neural networks emerged in the early 1940s as a connectionist approach to modeling the behavior of interconnected living nerve cells within the intricate cognitive framework of the brain. Over the years, this idea has undergone unprecedented proliferation of ever-expanding application areas, accompanied by an exponential surge in the mathematical formalism employed. This prodigious growth poses severe demands on computational hardware infrastructure. The current research suggests a novel approach for optimizing artificial neural network architectures using resource-sharing techniques. It is discussed the concept of merging context-switching and time-division multiplexing in building a single-neuron artificial neural network with the aid of an FPGA device. This would benefit the significant reduction of hardware resources and the possibility of creating small yet very efficient artificial neural networks without deteriorating the dynamical system performance.
Nonlinear black hole scalarization in multi-scalar Gauss-Bonnet gravity
Authors: Staykov Kalin V. , Doneva Daniela D. 
Published: March 2024

Abstract
A process called nonlinear scalarization was recently demonstrated to exist for black holes in scalar-Gauss-Bonnet gravity. Contrary to the standard spontaneous scalarization, the nonlinear scalarization is a process which allows for a Schwarzschild black hole and a scalarized black hole, both linearly stable, to coexist. We extend the search for black holes with nonlinear scalarization in the case of multi-scalar Gauss-Bonnet gravity – a class of theories which allow for hairy compact objects with vanishing scalar charge, hence, there are no constraints from the binary pulsar observations. We demonstrate numerically the existence of such black hole solutions with nonlinear scalarization in the multi-scalar Gauss-Bonnet theories with exponential coupling function which is of fourth leading order in the scalar field.
Experimental investigation on the surface quality of WEDM machined 20MnCr5 steel for gear application
Authors: Vijayakumar N , Chandradass J 
Published: March 2024

Abstract
This experimental study investigates the Wire-cut Electrical Discharge Machining (WEDM) of 20MnCr5 steel, a low alloy steel grade material which is intended for the production of gears, shafts and other parts which need high surface hardness and wear resistance. WEDM is a crucial manufacturing process for producing gears, shafts, spindles, and various mechanical components. The investigation focuses on three key performance parameters: profile error, material removal rate (MRR), and surface roughness (SR), employing five WEDM parameters—wire feed (Wf), wire tension (Wt), servo voltage (SV), discharge arc-off time (Toff), and arc-on time (Ton) - by employing the Taguchi L27 orthogonal array. The study reveals that, in comparison to arc-on time and servo voltage, wire feed rate and tension have a lesser impact. Higher arc-on time and servo voltage result in increased profile error, while reduced wire tension values elevate surface roughness. Recast layer formation has been explored under different WEDM input parameters, revealing its dependence on arc-on time, voltage, wire tension, and feed rate. Higher voltage leads to uneven surfaces with larger globules and deep craters, contributing to a thicker recast layer at higher arc-on time and servo voltage.
Discursion on a paper of R. E. Mickens and J. E. Wilkins, Jr.
Authors: Herron Isom 
Published: March 2024

The heat equation and a nonlinear counterpart predict the temperature at the end of a semi-infinite rod, when the heat flux is specified there. Both equations have reductions to ordinary differential equations which simplify their solutions. For the nonlinear equation, the problem becomes

y

(
z
)

=
y

(
z
)

2

−
z
y

(
z
)

y

′

(
z
)
,

y \left ( z\right ) =y\left ( z\right ) ^{2}-zy\left ( z\right ) y^{\prime }(z),

y

′

(
0
)

=
−

3

,
y

(
∞
)

=
0

\ y^{\prime }\left ( 0\right ) =-\sqrt {3},y\left ( \infty \right ) =0

on

[
0
,
∞
)

[0,\infty )

. A variational approximation to the initial value

y

(
0
)

y\left ( 0\right )

of the nonlinear boundary value problem was found by employing an integral constraint suggested by the equation itself. The approximation is more accurate for the initial value than that of Mickens and Wilkins but misses their pointwise description of the solution.
Discussion on “The central role of the identifying assumption in population size estimation” by Serge Aleshin-Guendel, Mauricio Sadinle, and Jon Wakefield
Authors: King Ruth , McCrea Rachel , Overstall Antony 
Published: March 2024

ABSTRACT
In this discussion response, we consider some practical implications of the authors’ consideration of the no-highest-order interaction (NHOI) model for multiple systems estimation, which permits the authors to derive the explicit (albeit untestable) identifying assumption related to the unobserved (or missing) individuals. In particular, we discuss several aspects, from the standard process of model selection to potential poor predictive performance due to over-fitting and the implications of data reduction. We discuss these aspects in relation to the case study presented by the authors relating to the number of civilian casualties within the Kosovo war, and conduct further preliminary simulations to investigate these issues further. The results suggest that the NHOI models considered, despite having a potentially useful theoretical result in relation to the underlying identifying assumption, may perform poorly in practice.
Rejoinder to the discussion on “The central role of the identifying assumption in population size estimation”
Authors: Aleshin-Guendel Serge , Sadinle Mauricio , Wakefield Jon 
Published: March 2024

Summary
We organize the discussants’ major comments into the following categories: sensitivity analyses, zero counts, model selection, the marginal no-highest-order interaction (NHOI) assumption, and the usefulness of our proposed framework.
The Arabidopsis Information Resource in 2024
Authors: Reiser Leonore , Bakker Erica , Subramaniam Sabarinath , Chen Xingguo , Sawant Swapnil , Khosa Kartik , Prithvi Trilok , Berardini Tanya Z 
Published: March 2024

Abstract
Since 1999, The Arabidopsis Information Resource (www.arabidopsis.org) has been curating data about the Arabidopsis thaliana genome. Its primary focus is integrating experimental gene function information from the peer-reviewed literature and codifying it as controlled vocabulary annotations. Our goal is to produce a “gold standard” functional annotation set that reflects the current state of knowledge about the Arabidopsis genome. At the same time, the resource serves as a nexus for community-based collaborations aimed at improving data quality, access, and reuse. For the past decade, our work has been made possible by subscriptions from our global user base. This update covers our ongoing biocuration work, some of our modernization efforts that contribute to the first major infrastructure overhaul since 2011, the introduction of JBrowse2, and the resource's role in community activities such as organizing the structural reannotation of the genome. For gene function assessment, we used gene ontology annotations as a metric to evaluate: (1) what is currently known about Arabidopsis gene function and (2) the set of “unknown” genes. Currently, 74% of the proteome has been annotated to at least one gene ontology term. Of those loci, half have experimental support for at least one of the following aspects: molecular function, biological process, or cellular component. Our work sheds light on the genes for which we have not yet identified any published experimental data and have no functional annotation. Drawing attention to these unknown genes highlights knowledge gaps and potential sources of novel discoveries.
On seismic gradiometric wave equation inversion for density
Authors: Faber Marthe , Curtis Andrew 
Published: March 2024

SUMMARY
Material density remains poorly constrained in seismic imaging problems, yet knowledge of density would provide important insight into physical material properties for the interpretation of subsurface structures. We test the sensitivity to subsurface density contrasts of spatial and temporal gradients of seismic ambient noise wavefields, using wave equation inversion (WEI), a form of seismic gradiometry. Synthetic results for 3-D acoustic media suggest that it is possible to estimate relative density structure with WEI by using a full acoustic formulation for wave propagation and gradiometry. We show that imposing a constant density assumption on the medium can be detrimental to subsurface seismic velocity images. By contrast, the full acoustic formulation allows us to estimate density as an additional material parameter, as well as to improve phase velocity estimates. In 3-D elastic media, severe approximations in the governing wave physics are necessary in order to invert for density using only an array of receivers on the Earth's free surface. It is then not straightforward to isolate the comparatively weak density signal from the influence of phase velocity using gradiometric WEI. However, by using receivers both at the surface and in the shallow subsurface we show that it is possible to estimate density using fully elastic volumetric WEI.
Haplotype-resolved T2T reference genomes for wild and domesticated accessions shed new insights into the domestication of jujube
Authors: Li Kun , Chen Ruihong , Abudoukayoumu Ayimaiti , Wei Qian , Ma Zhibo , Wang Zhengyang , Hao Qing , Huang Jian 
Published: March 2024

Abstract
Chinese jujube (Ziziphus jujuba Mill.) is one of the most important deciduous tree fruits in China, with substantial economic and nutritional value. Jujube was domesticated from its wild progenitor, wild jujube (Z. jujuba var. spinosa), and both have high medicinal value. Here we report the 767.81- and 759.24-Mb haplotype-resolved assemblies of a dry-eating ‘Junzao’ jujube (JZ) and a wild jujube accession (SZ), using a combination of multiple sequencing strategies. Each assembly yielded two complete haplotype-resolved genomes at the telomere-to-telomere (T2T) level, and ~81.60 and 69.07 Mb of structural variations were found between the two haplotypes within JZ and SZ, respectively. Comparative genomic analysis revealed a large inversion on each of chromosomes 3 and 4 between JZ and SZ, and numerous genes were affected by structural variations, some of which were associated with starch and sucrose metabolism. A large-scale population analysis of 672 accessions revealed that wild jujube originated from the lower reaches of the Yellow River and was initially domesticated at local sites. It spread widely and was then independently domesticated at the Shanxi–Shaanxi Gorge of the middle Yellow River. In addition, we identified some new selection signals regions on genomes, which are involved in the tissue development, pollination, and other aspects of jujube tree morphology and fertilization domestication. In conclusion, our study provides high-quality reference genomes of jujube and wild jujube and new insights into the domestication history of jujube.