bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spin–orbit coupling of electrons on separate lanthanide atoms of Pr2O2 and its singly charged cation
Authors: Nakamura Taiji , Dangi Beni B. , Wu Lu , Zhang Yuchen , Schoendorff George , Gordon Mark S. , Yang Dong-Sheng 
Published: December 2023

Although it plays a critical role in the photophysics and catalysis of lanthanides, spin–orbit coupling of electrons on individual lanthanide atoms in small clusters is not well understood. The major objective of this work is to probe such coupling of the praseodymium (Pr) 4f and 6s electrons in Pr2O2 and Pr2O2+. The approach combines mass-analyzed threshold ionization spectroscopy and spin–orbit multiconfiguration second-order quasi-degenerate perturbation theory. The energies of six ionization transitions are precisely measured; the adiabatic ionization energy of the neutral cluster is 38 045 (5) cm−1. Most of the electronic states involved in these transitions are identified as spin–orbit coupled states consisting of two or more electron spins. The electron configurations of these states are 4f46s2 for the neutral cluster and 4f46s for the singly charged cation, both in planar rhombus-type structures. The spin–orbit splitting due to the coupling of the electrons on the separate Pr atoms is on the order of hundreds of wavenumbers.
Learning from initial reviews of multilingual graphics illustrating dementia caregiving
Authors: Davis Boyd H. , Maclagan Margaret , Troutman-Jordan Meredith 
Published: December 2023

Abstract
This study traces the initial processes in creating and assessing ‘comics,’ or graphic materials of various sorts,
which illustrate situations in dementia caregiving. Dementia care materials intended for paid caregivers need to accommodate three
related work situations (home care aides, residential care aides and nursing assistants), and be comprehensible for low-literacy
and second-language caregivers. Their creation draws on pragmatic constructs underlying an emphasis on reading oneself into the
materials and on interpersonal interaction between caregiver and recipient. While our focus here is on English, we also illustrate
our work with Filipino, Latin American Spanish, and Taiwanese Mandarin.
Cultural attitudes and behavioural change: A conceptual examination of the wolf and the publisher
Authors: Nelson Kathryn 
Published: December 2023

Abstract

Cultural transformation is required to support positive attitudinal change towards the natural environment. Cultural intermediaries are influential in the dissemination of environmental knowledge since they support and promote cultural activities through their role as gatekeepers and tastemakers of culture. They are, therefore, influential in knowledge transfer, through their work as publishers, arts managers, producers, and curators. Consequently, they play a pivotal role in the creation of an individual’s attitudes. This conceptual article, is specifically, concerned with publishers and how they can influence a person’s attitudes towards the Eurasian wolf (
Canis lupus lupus
) and its cousins, the North American grey wolf (
Canis lupus
) and red wolf (
Canis rufus
). Furthermore, a change of attitude can impact on an individual’s beliefs, feelings, and behaviour. Especially since any attitudes an individual holds are often a result of social learning, rather than direct contact or knowledge of the wolf. Consequently, to achieve behavioural change, it is necessary to challenge existing knowledge and attitudes, here the work of cultural intermediaries can be critical. For example, publishers can help to create cognitive dissonance within individuals which may support positive behavioural change towards the natural environment. Given the significant role intermediaries have within European and North American societies and their ability to change individual behaviour, it is crucial that their impact on environmental knowledge and attitudes be considered.
Achieving in-plane biaxial magnetic anisotropy of permalloy films by localized magnetoelastic coupling
Authors: Bo Guohao , Lei Ting , Wang Xinyu , Zhao Rongzhi , Zhang Jian , Zhang Xuefeng , Jiang Yong 
Published: December 2023

Abstract
Magnetic films with in-plane magnetic anisotropy have been extensively applied in the field of magnetoelectronic devices. Here, we report a control method for the in-plane magnetic anisotropy of Ni80Fe20 films by localized magnetoelastic coupling. Nanotrenches are patterned on Ni80Fe20/polymethyl methacrylate bilayers, and the Young’s modulus mismatch between micro-patterned magnetic/polymer layers directionally releases the local stress. Due to magnetoelastic coupling, the directed tension distribution can rearrange the stripe domain along the patterned nanotrenches and induce the in-plane uniaxial magnetic anisotropy of the Ni80Fe20 films. Using hierarchically patterned tension distributions with 2D nanotrench arrays, in-plane biaxial magnetic anisotropy can be arbitrarily designable in Ni80Fe20 films.
Conductance modification of molybdenum oxide thin films through oxygen-vacancy engineering for visible-blind ultraviolet photodetection
Authors: Wu Qiang , Wang Rui , Cai Xinwei , He Fuxiu , Jiao Jinlong , an Yuying , Lin Guangyang , Wu Shaoxiong , Huang Wei , Chen Songyan , Li Cheng 
Published: December 2023

Abstract
We propose a simple approach to locally modify the conductance of molybdenum oxide thin films with thermal annealing in oxygen atmosphere at relatively low temperature for constructing a visible-blind ultraviolet photoconductor. The amorphous MoO
x
is grown by remote plasma enhanced atomic layer deposition (RPALD), and then crystallized into α-MoO
x
at 500 °C in argon atmosphere, which exhibits good conductance with resistivity of 3.9 × 10−3 Ω cm due to the formation of oxygen vacancies. Good ohmic contact between Ti and the crystallized MoO
x
is demonstrated with specific contact resistance of 9.74 × 10−4 Ω cm2. The lateral Au/Ti-MoO
x
-Ti/Au structures are defined and the conductance of the exposed MoO
x
channel is significantly modified by thermal annealing in oxygen atmosphere to form a photodetector, which shows obvious photoresponse at the wavelength of less than 372 nm with low dark current of 0.9 pA at 5 V, and the remarkable responsivity of 0.75 mA W−1 at 280 nm is achieved with a high ultravoilet/visible rejection ratio. The low dark current and incredible responsivity can be attributed to the good ohmic contacts of untreated MoO
x
and the reduction of number of oxygen vacancies in the MoO
x
channel. The key role of oxygen vacancy on the conductance of MoO
x
has been demonstrated. Those results suggest that the MoO
x
thin films are promising candidate for visible-blind ultraviolet photodetectors in a simple complementary metal oxide semiconductor (CMOS)-compatible process.
A light-controlled single-atom nanozyme hydrogels for glutathione depletion mediated low-dose radiotherapy
Authors: Zhong Yang , Li Xiaopeng , Qi Pengyuan , Sun Chenglong , Wang Zhanggui 
Published: December 2023

Abstract
Due to the unique ability to mimic natural enzymes, single-atom nanoenzymes (SAE) have garnered significant attention and research in tumor therapy. However, their efficacy often faces challenges in terms of drug delivery methods, and the research regarding their applications in radiotherapy is scarce. Herein, we introduce a light-controlled SAE hydrogel platform (SH) for glutathione-depletion-mediated low-dose radiotherapy. The SH incorporates a Cu single-atom enzyme (CuSA), and upon irradiation with 1064 nm near-infrared light, the CuSA can convert light energy into heat, which in turn degrades the hydrogel, enabling the release of CuSA into tumor cells or tissues. The diffused CuSA not only can facilitate the conversion of H2O2 into hydroxyl radicals (•OH), but also can effectively depletes cellular glutathione. This leads to increased sensitivity of tumor cells to radiotherapy, resulting in enhanced cytotoxicity even at low doses. The animal study results further confirmed the good tumor-killing efficacy of this SH system. To the best of our knowledge, this stands as the pioneering report on leveraging a single-atom enzyme for GSH depletion-mediated low-dose radiotherapy.
NNLO QCD predictions of the asymmetry probe of the Z
γ pair-production process
Authors: Saygin Kadir 
Published: December 2023

Abstract
The paper presents for the first time a novel idea of exploiting asymmetry between differential cross sections of the off-shell Z
γ pair-production in proton-proton (pp) collisions for the final states of a charged-lepton pair plus a photon pp → Z
γ → l
+
l
−
γ (leptonic decay) and of a neutrino pair plus a photon

pp
→
Z
γ
→
ν

ν

¯

γ

(invisible decay). Asymmetry between the leptonic and invisible decays of the Z
γ process is investigated by using fixed-order predictions through inclusion of next-to-next-to-leading (NNLO) radiative corrections in quantum chromodynamics (QCD) perturbation theory. NNLO QCD predictions are presented at various pp-collision energies as functions of several key observables including transverse momenta and azimuthal-angle separation, regarding the Z
γ decay products. The predicted distributions for the Z
γ asymmetry are provided based on realistic fiducial phase-space requirements in line with the related hadron-collider measurements. The predicted distributions are assessed at various pp-collision energies and in different phase-space regions such as with higher lepton-pair invariant mass

m

l

+

l

−

or higher neutrino-pair transverse momentum

p

T

ν

ν

¯

requirements. The Z
γ asymmetry is shown to be significantly sensitive in different regions of phase space including high-

m

l

+

l

−

and high-

p

T

ν

ν

¯

regions. The Z
γ asymmetry can therefore be translated into an important quantity for probing deviation from the Standard Model (SM) predictions. In this regard, the asymmetry probe is proposed as a sensitive indicator for indirect searches for physics beyond the SM encompassing high-mass resonances and dark-matter sector.
Generic numerical and analytical methods for solving nonlinear oscillators
Authors: Kontomaris Stylianos Vasileios , Mazi Ioanna , Chliveros Georgios , Malamou Anna 
Published: December 2023

Abstract
Nonlinear oscillations are a challenging problem due to the high complexity of the underlying differential equations. This paper focuses on the nonlinear oscillator with cubic and harmonic restoring force as it represents a very general case. In particular, many well-known oscillators (e.g., the Duffing equation, the capillary oscillator, the cubic-quintic Duffing oscillator, the simple pendulum, etc) are subcases of it. Accurate solutions in terms of Fourier series functions for different oscillation amplitudes were derived using an energy-based numerical method and fitting processes. In addition, an analytical approach was developed by finding the derivative of the restoring force function at the point

x
=

c

0

A
,

where

A

is the amplitude of the oscillation, and

c

0

is a constant. Using this approach, the error was negligible (∼0.02–0.22%) even for A → ∞. The methods and solutions for the nonlinear oscillator with cubic and harmonic restoring force can be equally applied to all its subcases.
Topology of Hayward-AdS black hole thermodynamics
Authors: Sadeghi J , Afshar M A S , Noori Gashti S , Alipour M R 
Published: December 2023

Abstract
Recently, the investigation of the topological classes of black holes with two different methods has attracted the attention of researchers with respect to the existence of critical points, which are important structures in the phase diagram of a thermodynamic system. One of these methods is the examination of the topological classes of black holes with the help of Duan’s topological current ϕ-mapping theory. Therefore, we consider three different types of black holes, i.e. Hayward-AdS black holes, quintessential Hayward-AdS black holes, and AdS Hayward black holes in Einstein-Gauss-Bonnet gravity. Then we explore their thermodynamic topological classes. The interesting point to note in our studies is that, unlike previous studies, all of our black holes have the same topological class, and the addition of quintessence or GB terms, etc, or dimensions does not change the topological numbers. In the end, we compare the thermodynamic topological class of our black holes with other black holes investigated in the literature.
Computational insight on transport properties of Re-doped Janus monolayer WSeTe
Authors: Jipin P M , Choudhary Tanu , Biswas Raju K 
Published: December 2023

Abstract
Designing a stable two-dimensional (2D) n-type semiconductor with a wider bandgap and higher carrier conductivity could be a promising material for advanced transport device applications. In this study, we design experimentally synthesized Janus monolayer WSeTe and use ab-initio-based density functional theory combined with Boltzmann transport theory to explore charge carrier anisotropy in mobility. We emphasise structural and transport properties in terms of scattering information to modulate the transport mechanisms in computing carrier mobility and electrical conductivity. We also substitute Re in WSeTe to optimize carrier concentration which eventually increases electrical conductivity in Re0.5W0.5SeTe. Thus, our findings on new 2D materials used in nanoelectronics should encourage researchers to explore innovative energy materials with higher bandgap without compromising electrical conductivity.
In2S3 thin films with potential use as window layers in photovoltaic devices
Authors: García-Mejía M F , Sastré-Hernández J , Aguilar-Hernández J , Becerril-Silva M , Mendoza-Pérez R , Cruz-Orea A 
Published: December 2023

Abstract
In this study, we use the Haacke’s figure of Merit (FOMH) as a valuable parameter for determining suitable Indium Sulphide thin films among a set of samples processed with different deposition parameters, in order to use them as window layers in the usual configuration of photovoltaic devices. Two sets of In2S3 thin films were deposited by radiofrequency (RF) magnetron sputtering technique with an average thickness around 90 nm and using different deposition parameters. One set of samples was processed using different RF power in the range of 75–250 W at room temperature, the second set was obtained using different substrate temperatures 24 °C–350 °C keeping a constant RF power at 75 W. The FOMH consider optical and electrical properties of In2S3 thin films in order to evaluate the feasibility of the thin film to be used as a window layer in photovoltaics devices. The In2S3 thin films processed by RF-Sputtering were analyzed by scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), Ultraviolet-Visible spectroscopy, Raman spectroscopy, x-ray diffraction (XRD) and four-probe method. The In2S3 thin films had a high optical transmittance of 84% and the energy band gap values of the films decreased from 2.48 to 2.38 with the increase in substrate temperature and deposition power. The estimated grain size decreasing from 65 to 45 nm as the RF power increased. Additionally, the crystallinity of the selected In2S3 thin films was analyzed by Raman and XRD and showing that the cubic and tetragonal β-In2S3 phases can coexist in the films. The In2S3 thin films showed resistivity vales around

10

−
5

Ω
∙
cm
.

Higher values of FOMH were obtained for In2S3 thin films processed at 75 W, 250 W, 100 °C and 300 °C, therefore these layer are feasible candidates to be used as window layers in photovoltaic devices.
An SZ-like effect on cosmological gravitational wave backgrounds
Authors: Daniel Tatsuya , Howard Marcell , König Morgane 
Published: December 2023

Abstract
Cosmological gravitational wave backgrounds (CGWBs) are the conglomeration of unresolved gravitational wave signals from early Universe sources, which make them a promising tool for cosmologists. Because gravitons decouple from the cosmic plasma early on, one can consider interactions between gravitons and any particle species that were present in the very early Universe. We show that analogous to the cosmic microwave background, elastic scattering on any cosmological background will induce small distortions in its energy density spectrum. We then quantify the magnitude of these spin-dependent spectral distortions when attributed to the dark matter in the early Universe. Lastly, we give estimates for potentially measurable distortions on CGWBs due to gravitational scattering by primordial black holes.
Vorticity generation in cosmology and the role of shell crossing
Authors: Umeh Obinna 
Published: December 2023

Abstract
There is no source for cosmic vorticity within the cold dark matter cosmology. However, vorticity has been observed in the universe, especially on the scales of clusters, filaments, galaxies, etc.
Recent results from high-resolution general relativistic N-body simulation show that the vorticity power spectrum dominates over the power spectrum of the divergence of the peculiar velocity field on scales where the effective field theory of large-scale structure breaks down. Incidentally, this scale also corresponds to the scale where shell-crossing occurs. Several studies have suggested a link between shell crossing in the dark matter fluid and the vorticity generation in the universe, however, no clear proof of how it works within general relativity exists yet. We describe for the first time how vorticity is generated in a universe such as ours with expanding and collapsing regions. We show how vorticity is generated at the boundary of the expanding and collapsing regions. Our result indicates that the amplitude of the generated vorticity is determined by the jump in gradients of the gravitational potential, pressure and the expansion rate at the boundary.
In addition, we argue that the presence of vorticity in the matter fields implies a non-vanishing magnetic part of the Weyl tensor. This has implications for the generation of Maxwell's magnetic field and the dynamics of clusters. The impact of accelerated expansion of the universe and the existence of causal limit for massive particles are discussed
Personalized inference for neurostimulation with meta-learning: a case study of vagus nerve stimulation
Authors: Mao Ximeng , Chang Yao-Chuan , Zanos Stavros , Lajoie Guillaume 
Published: December 2023

Abstract

Objective. Neurostimulation is emerging as treatment for several diseases of the brain and peripheral organs. Due to variability arising from placement of stimulation devices, underlying neuroanatomy and physiological responses to stimulation, it is essential that neurostimulation protocols are personalized to maximize efficacy and safety. Building such personalized protocols would benefit from accumulated information in increasingly large datasets of other individuals’ responses. Approach. To address that need, we propose a meta-learning family of algorithms to conduct few-shot optimization of key fitting parameters of physiological and neural responses in new individuals. While our method is agnostic to neurostimulation setting, here we demonstrate its effectiveness on the problem of physiological modeling of fiber recruitment during vagus nerve stimulation (VNS). Using data from acute VNS experiments, the mapping between amplitudes of stimulus-evoked compound action potentials (eCAPs) and physiological responses, such as heart rate and breathing interval modulation, is inferred. Main results. Using additional synthetic data sets to complement experimental results, we demonstrate that our meta-learning framework is capable of directly modeling the physiology-eCAP relationship for individual subjects with much fewer individually queried data points than standard methods. Significance. Our meta-learning framework is general and can be adapted to many input–response neurostimulation mapping problems. Moreover, this method leverages information from growing data sets of past patients, as a treatment is deployed. It can also be combined with several model types, including regression, Gaussian processes with Bayesian optimization, and beyond.
A novel unsupervised dynamic feature domain adaptation strategy for cross-individual myoelectric gesture recognition
Authors: Liu Yan , Peng Xinhao , Tan Yingxiao , Oyemakinde Tolulope Tofunmi , Wang Mengtao , Li Guanglin , Li Xiangxin 
Published: December 2023

Abstract

Objective. Surface electromyography pattern recognition (sEMG-PR) is considered as a promising control method for human-machine interaction systems. However, the performance of a trained classifier would greatly degrade for novel users since sEMG signals are user-dependent and largely affected by a number of individual factors such as the quantity of subcutaneous fat and the skin impedance. Approach. To solve this issue, we proposed a novel unsupervised cross-individual motion recognition method that aligned sEMG features from different individuals by self-adaptive dimensional dynamic distribution adaptation (SD-DDA) in this study. In the method, both the distances of marginal and conditional distributions between source and target features were minimized through automatically selecting the optimal feature domain dimension by using a small amount of unlabeled target data. Main results. The effectiveness of the proposed method was tested on four different feature sets, and results showed that the average classification accuracy was improved by above 10% on our collected dataset with the best accuracy reached 90.4%. Compared to six kinds of classic transfer learning methods, the proposed method showed an outstanding performance with improvements of 3.2%-13.8%. Additionally, the proposed method achieved an approximate 9% improvement on a publicly available dataset. Significance. These results suggested that the proposed SD-DDA method is feasible for cross-individual motion intention recognition, which would provide help for the application of sEMG-PR based system.
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Optimized Prophet Model
Authors: Yin Yuheng , Wang Chenglong , Lu Hongwei 
Published: December 2023

Abstract
In this paper, we propose an algorithm to optimize the Prophet model by combining the improved sparrow search algorithm. Firstly, the original Prophet model is theoretically analyzed and regression fitted in a realistic data set to verify the feasibility of the model for lithium-ion battery RUL prediction. Secondly, the parameters of the Prophet model are optimized by using the modified sparrow search algorithm to enhance its prediction accuracy. The simulation results show that the model proposed in this paper provides better performance in lithium-ion battery RUL prediction and outperforms the methods involved in this paper for comparison in terms of prediction accuracy.
A southern, middle, and northern Norwegian offshore wind energy resources analysis by a transfer learning method for Energy Internet
Authors: Chen Hao , Birkelund Yngve , Ricaud Benjamin , Zhang Qixia 
Published: December 2023

Abstract
As renewable energy sources offshore wind energy develop quickly, countries like Norway with long coastlines are exploring their potential. However, the diverse wind resources across different regions of Norway present challenges for study for effective utilization of offshore wind energy. This study proposes a novel method that utilizes transfer learning techniques to analyse the resource differences between these areas for optimum energy generation. The suggested approach is tested using real-world wind data from Norway’s southern, middle, and northern regions. The results show that transfer learning successfully bridges resource discrimination, boosting wind resource prediction precision in the target domains. The work can contribute to optimizing offshore wind energy utilization in Norway by addressing the resource disparities and forecasting between the different regions.