bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shape-dependent oxidation rates of nano-structured silver particles
Authors: Chaparro Diego , Goudeli Eirini 
Published: September 2024

Reactive molecular dynamics is used to investigate the oxidation of anisotropic silver nanoparticles (nano-Ag) of various shapes, including sphere, cube, disk, cylinder, triangle, and pyramid. The effect of the nano-Ag initial morphology on their stability and composition during oxidation is quantified. Surface oxidation at 600 K leads to the formation of a core–shell structure for all nano-Ag shapes. The surface composition of facet orientations of pristine nano-Ag can be correlated with particle stability due to their different surface energies and oxygen reactivity. In particular, pyramid and triangular nano-Ag, having a high surface fraction of (110) facets, are more prone to morphological changes upon oxidation and loss of their crystallinity, compared to nanospheres and nanocubes, which exhibit the highest stability among all shapes, attributed to the large fraction of highly coordinated atoms. Spherical and cubic nano-Ag oxidize faster, owing to their large surface fractions of (100) and (111) facets, which are more reactive than (110) ones. Understanding the effect of surface crystal structure and shape of anisotropic nano-Ag can improve the design of superior metal oxide nanomaterials with desired characteristics.
Evaluation of the power loss in IGBT single transistor device under the condition of pulse duration of 100 ns
Authors: Yang Zenghui , Hu Taizhuang , Li Diangeng , Zhang Huibo , Zhang Zicheng 
Published: September 2024

The improvement in the reliability and lifespan of insulated gate bipolar transistor (IGBT) devices and the enhancement of system efficiency under high-frequency pulse conditions are receiving increasingly wide attention, and all of these are closely related to the evaluation of the power loss of the IGBT. The traditional method for assessing the power loss of the IGBT is through curve fitting of the dual-pulse experimental results, without delving into the conduction process of the IGBT and without considering the IGBT model itself and the parasitic parameters present in the test circuit. In response to the condition of a pulse duration of 100 ns for IGBT single devices, a universal test circuit has been designed to measure the collector-emitter voltage waveform and the collector current waveform. A method based on Computer Simulation Technology for field-circuit co-simulation to evaluate the power loss of the IGBT has been proposed, which takes into account the parasitic parameters in the actual circuit. In this method, the 3D model of the IGBT device, as well as the circuit model of the test circuit, is established. The power loss curve of the IGBT was obtained from the evaluation model, and the results agree well with the power loss curve obtained from experiments. This method provides guidance for seeking lower power loss in order to improve the reliability and lifespan of the IGBT, as well as enhance system efficiency. It also provides theoretical guidance for further research on the thermal damage mechanism of the IGBT.
Investigation on the vibrational relaxation and ultrafast electronic dynamics of S1 state in 2,4-difluoroanisole
Authors: Cao Ling , Wang Yanmei , Lu Xin , Zhang Song 
Published: September 2024

Intramolecular vibrational energy redistribution (IVR) has a profound impact on dynamic processes. We have studied two types of IVR processes, restricted and dissipative, and ultrafast dynamics of the S1 state of 2,4-difluoroanisole using time-resolved photoelectron spectroscopy and time-of-flight mass spectroscopy. The restricted IVR occurs in the intermediate regime of 219 cm−1 vibrational level, and the dissipative IVR occurs in the statistical regime of 1200 cm−1. The lifetimes of IVR processes are measured to be 90 and 11 ps, respectively, depending on the internal energies of the S1 state and differ by a factor of eight. Similar subsequent dynamics were observed at two vibrational levels in the S1 state. The population undergoes IVR following the initial excitation and subsequently leaks into a triplet state, accompanied by intersystem crossing within ∼400 ps followed by a slower nonradiative relaxation of the triplet state on the nanosecond time scale. Furthermore, the values of 3s and 3px Rydberg states of 2,4-difluoroanisole were experimentally determined to be 5.02 and 6.28 eV.
Dissociative electron attachment and Ar+ reaction with chromium hexacarbonyl, 296–400 K
Authors: Miller Thomas M. , Rodriguez Virginia G. , Ard Shaun G. , Viggiano Albert A. , Shuman Nicholas S. 
Published: September 2024

Dissociative electron attachment rate constants have been measured for Cr(CO)6 under thermal conditions, 296–400 K, yielding Cr(CO)5− product. At 296 K, 2.92 ± 0.70 cm3 s−1 was measured and a small decrease with temperature was observed (2.72 ± 0.70 cm3 s−1 at 400 K). We additionally determined the cation products of Ar+ reacting with Cr(CO)6.
Using acoustic-phonetic simulations to model historical sound change
Authors: Hudson Toby , Wei Jonathan , Coleman John 
Published: September 2024

Abstract
We introduce a method for investigating sound change using audio proxies and interpolation between them. Using
this method leads us to consider the possible trajectories of attested sound changes in acoustic space and allows us to run speech
perception experiments with the interpolated sounds to examine the patterning of perceptual judgements. We discuss the
implications for understanding rate and magnitude of sound changes and present the approach as one which might fruitfully be
applied to a wide range of studies.
Politics, variation, and politeness on Andalusian Twitter (X)
Authors: Pollock Matthew 
Published: September 2024

Abstract
This study focuses on sociolinguistic variation and politeness on the social media platform Twitter
(X) to track the decline in the second person plural ustedes form among politicians in southern and
northern-central Spain. An analysis of politeness in computer-mediated communication (CMC) identified pragmatic
differences across politicians and showed how second-person plural variation plays a role in politeness and regional
identity work. The study found that the use of impoliteness on social media is on the rise, while use of
ustedes is low and used in specific contexts. From a variationist perspective, impoliteness
correlates with ustedes use against political opponents, and shows that politicians employ this form
as a means of creating social distance between themselves and rivals.
The intonation of yes-no questions in bilingual Gipuzkoan Spanish and Basque from Irun
Authors: Delgado Nerea 
Published: September 2024

Abstract
This study examines the intonation of information-seeking yes-no questions in bilingual Spanish and
Basque from Irun, Gipuzkoa, and considers the effects of language dominance in describing intonational patterns. Data
from 13 bilingual speakers show that falling contours (most commonly (¡)H* L%) predominate in both languages,
especially among Basque-dominant bilinguals. Rising contours (namely L* H% and H* LH%) occur more frequently than
previously reported for Basque Spanish. We argue that this result stems from the linguistic reality of Irun, where the
use of Spanish is more widespread. Overall, most participants produced the same contours in both languages, which
suggests that they utilize a common intonation inventory.
More than occlusions
Authors: Garza Rachel S. , Willis Erik W. , Melero-García Fernando 
Published: September 2024

Abstract
The Spanish /ɾ/-/r/ contrast is prototypically maintained by number of occlusions; however,
heritage and monolingual Spanish speakers also produce /r/ with one occlusion, using closure duration of the rhotic to
maintain contrast. In the present study, 43 Spanish heritage speakers heard 40 Spanish words containing word-medial
/ɾ/ with a closure duration between 22 ms and 85 ms. Using two types of tasks, a 2AFC heatmap categorical task and
continuous rating Visual Analog Slider, listeners indicated whether they perceived a word containing /ɾ/ or /r/.
Results of a binomial linear regression suggest that as closure duration increases, the probability of perceiving the
phonemic trill increased significantly (β = −1.289, p < 0.001), with type of
bilingualism and word-pair also being significant.
Critical language awareness, heritage learners, and (non)dynamic language ideologies in a Spanish in the US
course
Authors: McKinnon Sean , Elias Vanessa 
Published: September 2024

Abstract
Given exposure to hegemonic language ideologies from multiple sources and actors in larger society,
a key component of critical language awareness (CLA) pedagogy is to raise students’ critical consciousness about them.
Therefore, the present study examines how seven Spanish heritage language speakers’ language ideologies influence
their linguistic self-conceptualization before and after taking a CLA-informed course on Spanish in the US. The
results provide evidence that most participants either questioned dominant language ideologies (e.g., monoglossic and
standard language) when it came to conceptualizing their own Spanish or directly challenged them in their daily lives
after completing the course. However, some participant reflections expressed hegemonic language ideologies at the end
of the semester, which mirrors findings from previous research that measure critical awareness post-instruction.
Pragmatic competence in virtual environments
Authors: Collentine Karina 
Published: September 2024

Abstract
Virtual environments (VE) can mimic the dimensions that native speakers take into account in
authentic social interactions and are one of the instructional conditions that can promote pragmatic competence. I
present the results of a study examining the relationship between self-regulated behaviors in a VE and gains in
pragmatic competence. The VE was designed to promote knowledge of Spanish request parameters and employed
consciousness-raising (CR) features. Third-year learners of Spanish (N = 24) explored the VE by
approaching avatars and requesting various objects/favors to solve the task. Specifically, I focus on affordances
identified to predict pragmatic gains in the CR condition (Collentine &
Collentine, 2023) to study the extent to which CR features in VEs interact with and account for gains in
pragmatic abilities.
Methodological solutions for researching the variation of partitives in languages with rich nominal
morphology
Authors: Tamm Anne 
Published: September 2024

Abstract
This article examines methodologies for studying variation in partitives. It focuses on the challenges for
languages with rich nominal morphology. Translation questionnaires have been widely and efficiently applied for discovering
variation in Germanic and Romance partitives. We set up a mini questionnaire and provide its answers for Estonian to test the
method. The current research situation of the Estonian morphological partitive case variation allows us to spot some inadequacies
of this research instrument. We show the complexity of partitive variation across linguistic modules and discuss how the works
presented in this volume as well as other related recent research may provide ancillary instruments to mitigate the shortcomings
of a translation questionnaire. We close the discussion with some methodological alternatives open to morphologically complex
languages in their typical research situations, applied to Beserman pseudo partitives and Ukrainian partitive genitives, and some
synergies in recently applied methods.
Generalized Quantum Measurement in Spin-Correlated Hyperon-Antihyperon Decays
Authors: Wu 吴 Sihao 思浩 , Qian 钱 Chen 辰 , Yang 杨 Yang-Guang 阳光 , Wang 王 Qun 群 
Published: September 2024

Abstract
The rapid developments of quantum information science (QIS) have opened up new avenues for exploring fundamental physics. Quantum nonlocality, a key aspect for distinguishing quantum information from classical one, has undergone extensive examinations in particles’ decays through the violation of Bell-type inequalities. Despite these advancements, a comprehensive framework based on quantum information theory for particle interaction is still lacking. Trying to close this gap, we introduce a generalized quantum measurement description for decay processes of spin-1/2 hyperons. We validate this approach by aligning it with established theoretical calculations and apply it to the joint decay of

Λ

Λ
¯

pairs. We employ quantum simulation to observe the violation of Clauser–Horne–Shimony–Holt inequalities in

η
c

/

χ

c
0

→
Λ

Λ
¯

processes. Our generalized measurement description is adaptable and can be extended to a variety of high energy processes, including decays of vector mesons,

J
/
ψ
,
ψ
(
2
S
)
→
Λ

Λ
¯

, in the Beijing Spectrometer III (BESIII) experiment at the Beijing Electron Positron Collider (BEPC). The methodology developed in this study can be applied to quantum correlation and information processing in fundamental interactions.
Deep neural network-based molecular dynamics simulations for AlxGa1-
xN alloys and their thermal properties
Authors: Liu Xiangjun , Wang Di , Wang Baolong , Wang Quanjie , Sun Jisheng , Xiong Yucheng 
Published: September 2024

Abstract
Efficient heat dissipation is crucial for the performance and lifetime of high electron mobility transistors (HEMTs). The thermal conductivity of materials and interfacial thermal conductance (ITC) play significant roles in their heat dissipation. To predict the thermal properties of Al
x
Ga1−x
N and the ITC of GaN/Al
x
Ga1−x
N in HEMTs, a dataset with first-principles accuracy was constructed using concurrent learning method and trained to obtain an interatomic potential employing deep neural networks (DNN) method. Using obtained DNN interatomic potential, equilibrium molecular dynamics (MD) simulations were employed to calculate the thermal conductivity of Al
x
Ga1−x
N, which showed excellent consistent with experimental results. Additionally, the phonon density of states of Al
x
Ga1−x
N and the ITC of GaN/Al
x
Ga1−x
N were calculated. Our study revealed a decrease in the ITC of GaN/Al
x
Ga1−x
N with increasing x, and the insertion of 1 nm-thick AlN at the interface significantly reduced the ITC. This work provided a high-fidelity DNN potential for MD simulations of Al
x
Ga1−x
N, offering valuable guidance for exploring the thermal transport of complex alloy and heterostructure.
Characterizing brain mechanics through 7 tesla magnetic resonance elastography
Authors: Triolo Emily , Khegai Oleksandr , McGarry Matthew , Lam Tyson , Veraart Jelle , Alipour Akbar , Balchandani Priti , Kurt Mehmet 
Published: September 2024

AbstractMagnetic resonance elastography (MRE) is a non-invasive method for determining the mechanical response of tissues using applied harmonic deformation and motion-sensitive MRI. MRE studies of the human brain are typically performed at conventional field strengths, with a few attempts at the ultra-high field strength, 7T, reporting increased spatial resolution with partial brain coverage. Achieving high-resolution human brain scans using 7T MRE presents unique challenges of decreased octahedral shear strain-based signal-to-noise ratio (OSS-SNR) and lower shear wave motion sensitivity. In this study, we establish high resolution MRE at 7T with a custom 2D multi-slice single-shot spin-echo echo-planar imaging sequence, using the Gadgetron advanced image reconstruction framework, applying Marchenko–Pastur Principal component analysis denoising, and using nonlinear viscoelastic inversion. These techniques allowed us to calculate the viscoelastic properties of the whole human brain at 1.1 mm isotropic imaging resolution with high OSS-SNR and repeatability. Using phantom models and 7T MRE data of eighteen healthy volunteers, we demonstrate the robustness and accuracy of our method at high-resolution while quantifying the feasible tradeoff between resolution, OSS-SNR, and scan time. Using these post-processing techniques, we significantly increased OSS-SNR at 1.1 mm resolution with whole-brain coverage by approximately 4-fold and generated elastograms with high anatomical detail. Performing high-resolution MRE at 7T on the human brain can provide information on different substructures within brain tissue based on their mechanical properties, which can then be used to diagnose pathologies (e.g. Alzheimer’s disease), indicate disease progression, or better investigate neurodegeneration effects or other relevant brain disorders,in vivo.
Recent developments in tornado theory and observations
Authors: Rotunno Richard , Bluestein Howard B 
Published: September 2024

Abstract
This article critically reviews research on tornado theory and observations over the last decade. From the theoretical standpoint, the major advances have come through improved numerical-simulation models of supercell convective storms, which contain the tornado’s parent circulation. These simulations are carried out on a large domain (to capture the supercell’s circulation system), but with high grid resolution and improved representations of sub-grid physics (to capture the tornado). These simulations offer new insights into how and why tornadoes form in some supercells, but not others. Observational advances have come through technological improvements of mobile Doppler radars capable of rapid scanning and dual-polarization measurements, which offer a much more accurate view of tornado formation, tornado structure, and the tornado’s place within its parent supercell.
Impossibility of universal work extraction from coherence: reconciling axiomatic and resource-theory approaches
Authors: Plesnik Samuel , Violaris Maria 
Published: September 2024

Abstract
We compare how the impossibility of a universal work extractor from coherence arises from different approaches to quantum thermodynamics: an explicit protocol accounting for all relevant quantum resources, and axiomatic, information-theoretic constraints imposed by constructor theory. We first explain how the impossibility of a universal work extractor from coherence is directly implied by a recently proposed constructor-theoretic theorem based on distinguishability, which is scale- and dynamics- independent. Then we give an explicit demonstration of this result within quantum theory, by proving the impossibility of generalising a proposed quantum protocol for deterministically extracting work from coherence. We demonstrate a new connection between the impossibility of universal work extractors and constructor-based irreversibility, which was recently shown using the quantum homogenizer. Finally we discuss additional avenues for applying the constructor-theoretic formulation of work extraction to quantum thermodynamics, including the irreversibility of quantum computation and thermodynamics of multiple conserved quantities.
Adaptive point cloud thinning method based on point cloud saliency factor
Authors: Wu Xu , Shi Yangyang , Zheng Nanshan , Xiao Sizheng , Tian Yu , Zhang Jiabin 
Published: September 2024

Abstract
Point cloud thinning is an important data pre-processing method for saving computing resources and improving accuracy of point cloud matching. Aiming at the problems of insufficient feature extraction, poor environmental adaptation, and high computational complexity in existing methods, this study proposes a simplified method based on point cloud salient factors. This method first preprocesses the point cloud data, then calculates the significant factors of the point cloud, and uses the local curvature variance to perform adaptive region division. In the local area, the improved feature farthest point sampling (curvature identity farthest point sampling, CIFPS) algorithm is used to classify the point cloud. Perform thinning and finally obtain a simplified point cloud. In order to verify the effectiveness of the method, we conducted a large number of experiments on our own experimental platform and public data sets, and compared it with several related point cloud simplification methods. Experimental results show that the average thinning time of our algorithm on 16-line LIDAR data is 23.67 ms, 32-line LIDAR is 50.74 ms, and 64-line LIDAR is 87.28 ms; the point cloud matching error is relative to that based on farthest point sampling and voxel Sampling and Laplacian sampling were reduced by 44.3%, 46.3%, and 23.7% respectively.
Impact of Ir doping on the thermoelectric transport properties of half-Heusler alloys
Authors: Abdelkebir B , Semari F , Charifi Z , Baaziz H , Ghellab T , Uğur Ş , Uğur G , Khenata R 
Published: September 2024

Abstract
Using density functional and and Boltzmann transport theories, we investigate the thermoelectric transport properties

ZrCo

1
-
x

Ir

x

Sb

(x = 0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75, 0.875, 1) half-Heusler alloys. The current work found that increasing the concentration of iridium (

Ir

x

) from x = 0 to 0.375 in the

ZrCo

1
-
x

Ir

x

Sb

alloys from room temperature to 800

K

significantly decreased thermal and electrical conductivity due to a shorter relaxation time. Furthermore, our results show that

ZrCo

0.625

Ir

0.375

Sb

has the highest Seebeck coefficient (353.93

μ
V
/
K

) at 300

K
,

thereby boosting its thermoelectric performance. Interestingly, the thermoelectric figure of merit (ZT) has exceptional value 1.01 by applying 25% (x = 0.25) of atomic doping of iridium (Ir) with a carrier concentration of

n
=
1.47
⋅

10

20

cm

-
3

at 1000

K

and 37.5% (x = 0.375) of atomic doping of iridium (Ir) with a carrier concentration of

n
=
7.23
⋅

10

19

cm

-
3

at 800

K
.

Calculations present important results on the suitability of the studied alloys for thermoelectric applications.
Revolutionizing swarm dynamics: the role of receptive fields in enhancing convergence and stability
Authors: Liu Sicong , He Ming , Li Chunbiao , Han Wei , Chen Haotian 
Published: September 2024

Abstract
The classic Vicsek model, while influential in understanding swarm behavior, has limitations in achieving motion consensus and convergence speed, especially under varying conditions of density and noise. This study aims to introduce a novel receptive field mechanism to the Vicsek model to enhance its performance in terms of motion consensus and convergence speed within swarms. The modified model divides a particle’s surrounding area into excitation and inhibition zones based on distinct functions. This structural modification is designed to enrich evolutionary behavior and improve consensus convergence capabilities. Experimental outcomes indicate that the proposed model achieves faster convergence rates towards motion consensus under various density and noise conditions compared to traditional models. Specifically, while classic Vicsek models fail to converge to an overall polarization state under high noise levels and exhibit quasi-periodic oscillations, the enhanced model demonstrates stable convergence without oscillatory behavior across both low- and high-noise environments. The findings highlight the superior evolutionary consistency characteristics of the improved model, offering new theoretical and practical insights into the stability and controllability of swarms. This advancement presents significant implications for the development of more robust swarm systems.
Rogue waves and nonzero background solutions for the Gross–Pitaevskii equation with a parabolic potential
Authors: Xie Jiajie , Zhang Da-jun , Zhao Xuehui 
Published: September 2024

Abstract
In this paper an integrable Gross–Pitaevskii equation with a parabolic potential and a gain term is investigated. Its solutions with a nonzero background are derived. These solutions are constructed by using biliearization reduction approach and connections between the nonlinear Schrödinger equation and the Gross–Pitaevskii equation. The solutions are presented in double-Wronskian form and are classified in terms of canonical forms of a certain matrix. Various breathers and rogue waves are analyzed and illustrated.