bluuebunny/crossref_metadata_2025_split huggingface dataset:
Family-friendly policy evolution: a bibliometric study
Authors: Li Zheng-Dong , Zhang Bei 
Published: June 2023

AbstractThis paper uses the bibliometric method to analyze the basic characteristics and disciplinary knowledge structure of family-friendly policy research, as well as research hotspots and trends. The basic data source is the literature in the Web of Science Core Collection from 1985 to 2022. The following findings were obtained. First, the number of publications and citations in this field have increased exponentially, with scholars and research institutions from the US dominating the field of family-friendly policy research. Second, family-friendly policy research has been concentrated in the fields of management, sociology, and psychology, with a gradual trend toward cross-disciplinary integration, but a core group of authors has yet to be formed. Third, most of the family-friendly policy research has been conducted at the organizational level to explore the impact of family-friendly policies, with married women as the main research object. Finally, current family-friendly policy research focuses on policy fairness, childcare services, employee satisfaction, and work flexibility. Future research should focus on the dynamics of family-friendly policies and the empirical analysis of cross-level integration to improve the matching of policies with employee orientation. This study fills an analytical gap in the integration of family-friendly policies and scientometrics, proposes an expandable field of family-friendly policy research and research methods, and provides references and insights for future family-friendly policy research and practice.
Financial development and income inequality in Africa
Authors: Okafor Victoria I. , Olurinola Isaiah O. , Bowale Ebenezer , Osabohien Romanus 
Published: June 2023

AbstractAcross the globe, a rise in income inequality has been experienced for the last two decades, particularly in developing countries. This problem of income inequality poses a challenge to Africa’s ability to attain the United Nations (UN) Sustainment Development Goals (SDGs) of reduced inequalities (SDG-10). Against this backdrop, there is a need to harness the potential of financial development to reduce income inequality in Africa. Therefore, this study empirically examines how financial development affects income inequality in Africa. Financial development dimensions, access, depth, efficiency, and stability were considered to achieve the study’s objective. The study applied the system generalized method of moments (SGMM) to analyse data and the findings showed that each dimension of financial development had a varying impact on income inequality. Access, stability and efficiency components of financial development reduce income inequality, while the depth dimension of financial development exacerbates income inequality in Africa. Therefore, the study recommends that policymakers should not neglect other dimensions of finance in facilitating economic development.
Instrumentalisation of critical discourse studies: a linguistic analysis of public relations concepts in the CDS journal article abstracts (2000–2020)
Authors: Wang Huabin 
Published: June 2023

AbstractDriven by its problem-oriented nature, research of Critical Discourse Studies (CDS) employs an interdisciplinary approach to addressing social problems and concludes different levels of discourse practices. Among the disciplines that CDS scholars touch on, public relations (PR) stands out as one of the most inspiring, whose studies have implied the practicality of CDS to critique PR, explicating how institutional and media discourses shape stakeholders’ attitude toward the management process and further negotiate their identities and power relations. Nevertheless, little research has tackled the opposite, which is how the interconnected discipline of PR and its theories benefit CDS research. By adopting van Leeuwen (2005)’s integrationist model of conducting interdisciplinary research, the present case conducts an analysis of PR concepts used in the CDS journal article abstracts during 2000 and 2020, with three terms of “image”, “stakeholder”, and “strategy” as a case study. It argues that the use of PR concepts instrumentalises CDS, which offers analytic tools of communication for CDS scholars to refer to and helps to interpret the management power use and its discursive patterns in a CDS project. This ontological study not only offers insights into developing an interdisciplinary contribution during the institutionalisation of CDS but shows how both disciplines of PR and CDS have fostered a two-way development from linguistic and non-linguistic perspectives.
A fast tracking method for magnetic abnormalities using distributed Overhauser magnetometer system based on genetic algorithm
Authors: Luo Wang , Ge Jian , Liu Huan , Wu Shuang , Wang Hongpeng , Yuan Zhiwen , Luan Xinqun , Dong Haobin , Fukushima Edwardo F. 
Published: June 2023

Magnetic anomaly detection technologies have been widely used for tracking moving targets. In this paper, we present a fast-tracking method for magnetic abnormalities using a distributed Overhauser magnetometer system based on the genetic algorithm. Our proposed framework of the Overhauser magnetometer system employs multiple sensors to eliminate background interference, and the genetic algorithm efficiently solves magnetic anomaly data without requiring the derivation of the objective function. Test platforms were built to evaluate the distributed Overhauser magnetometer system and the genetic algorithm. Results from the natural outdoor magnetism laboratories showed that the noise of our presented magnetometers was below 0.134 nT. The optimal factors for solution precision and effectiveness in the genetic algorithm were obtained from the simulation. Moreover, the outdoor tracking experiments indicated that the proposed method could accurately and quickly detect the moving ferromagnetic object within 6.9% maximum positioning error in 0.55 m, and the tracking precision of the object velocity can get 5.88% maximum error in 4.33 km/h.
Revised Enskog theory for Mie fluids: Prediction of diffusion coefficients, thermal diffusion coefficients, viscosities, and thermal conductivities
Authors: Jervell Vegard G. , Wilhelmsen Øivind 
Published: June 2023

Since the 1920s, the Enskog solutions to the Boltzmann equation have provided a route to predicting the transport properties of dilute gas mixtures. At higher densities, predictions have been limited to gases of hard spheres. In this work, we present a revised Enskog theory for multicomponent mixtures of Mie fluids, where the Barker–Henderson perturbation theory is used to calculate the radial distribution function at contact. With parameters of the Mie-potentials regressed to equilibrium properties, the theory is fully predictive for transport properties. The presented framework offers a link between the Mie potential and transport properties at elevated densities, giving accurate predictions for real fluids. For mixtures of noble gases, diffusion coefficients from experiments are reproduced within ±4%. For hydrogen, the predicted self-diffusion coefficient is within 10% of experimental data up to 200 MPa and at temperatures above 171 K. Binary diffusion coefficients of the CO2/CH4 mixture from simulations are reproduced within 20% at pressures up to 14.7 MPa. Except for xenon in the vicinity of the critical point, the thermal conductivity of noble gases and their mixtures is reproduced within 10% of the experimental data. For other molecules than noble gases, the temperature dependence of the thermal conductivity is under-predicted, while the density dependence appears to be correctly predicted. Predictions of the viscosity are within ±10% of the experimental data for methane, nitrogen, and argon up to 300 bar, for temperatures ranging from 233 to 523 K. At pressures up to 500 bar and temperatures from 200 to 800 K, the predictions are within ±15% of the most accurate correlation for the viscosity of air. Comparing the theory to an extensive set of measurements of thermal diffusion ratios, we find that 49% of the model predictions are within ±20% of the reported measurements. The predicted thermal diffusion factor differs by less than 15% from the simulation results of Lennard-Jones mixtures, even at densities well exceeding the critical density.
A machine learning potential for simulating infrared spectra of nanosilicate clusters
Authors: Tang Zeyuan , Bromley Stefan T. , Hammer Bjørk 
Published: June 2023

The use of machine learning (ML) in chemical physics has enabled the construction of interatomic potentials having the accuracy of ab initio methods and a computational cost comparable to that of classical force fields. Training an ML model requires an efficient method for the generation of training data. Here, we apply an accurate and efficient protocol to collect training data for constructing a neural network-based ML interatomic potential for nanosilicate clusters. Initial training data are taken from normal modes and farthest point sampling. Later on, the set of training data is extended via an active learning strategy in which new data are identified by the disagreement between an ensemble of ML models. The whole process is further accelerated by parallel sampling over structures. We use the ML model to run molecular dynamics simulations of nanosilicate clusters with various sizes, from which infrared spectra with anharmonicity included can be extracted. Such spectroscopic data are needed for understanding the properties of silicate dust grains in the interstellar medium and in circumstellar environments.
Exploring the distinct conformational preferences of allyl ethyl ether and allyl ethyl sulfide using rotational spectroscopy and computational chemistry
Authors: Poonia Tamanna , van Wijngaarden Jennifer 
Published: June 2023

The conformational energy landscapes of allyl ethyl ether (AEE) and allyl ethyl sulfide (AES) were investigated using Fourier transform microwave spectroscopy in the frequency range of 5–23 GHz aided by density functional theory B3LYP-D3(BJ)/aug-cc-pVTZ calculations. The latter predicted highly competitive equilibria for both species, including 14 unique conformers of AEE and 12 for the sulfur analog AES within 14 kJ mol−1. The experimental rotational spectrum of AEE was dominated by transitions arising from its three lowest energy conformers, which differ in the arrangement of the allyl side chain, while in AES, transitions due to the two most stable forms, distinct in the orientation of the ethyl group, were observed. Splitting patterns attributed to methyl internal rotation were analyzed for AEE conformers I and II, and the corresponding V3 barriers were determined to be 12.172(55) and 12.373(32) kJ mol−1, respectively. The experimental ground state geometries of both AEE and AES were derived using the observed rotational spectra of the 13C and 34S isotopic species and are highly dependent on the electronic properties of the linking chalcogen (oxygen vs sulfur). The observed structures are consistent with a decrease in hybridization in the bridging atom from oxygen to sulfur. The molecular-level phenomena that drive the conformational preferences are rationalized through natural bond orbital and non-covalent interaction analyses. These show that interactions involving the lone pairs on the chalcogen atom with the organic side chains favor distinct geometries and energy orderings for the conformers of AEE and AES.
Extensive viewing and L2 vocabulary learning
Authors: Gesa Ferran , Miralpeix Imma 
Published: June 2023

Abstract
This article presents two classroom-based studies lasting one academic year: Study 1 with beginner learners of English as a foreign language and Study 2 with intermediate learners. In each study, learners in the comparison and experimental groups were introduced to new vocabulary through regular explicit instruction in class, but only those in the experimental group additionally watched subtitled (Study 1) or captioned (Study 2) television series where the new vocabulary appeared. Lexical gains, computed for each academic term, showed an overall positive effect of television viewing, although more differences between groups were found towards the end of the intervention, and more significant results were obtained in Study 2. These longitudinal data provide relevant information on the role of extensive viewing for language learning in instructional settings, which is often missed in one-off studies outside and inside the classroom.
Tuning the anomalous Nernst and Hall effects with shifting the chemical potential in Fe-doped and Ni-doped Co3Sn2S2
Authors: Liu Jie , Ding Linchao , Xu Liangcai , Li Xiaokang , Behnia Kamran , Zhu Zengwei 
Published: June 2023

Abstract
Co3Sn2S2 is believed to be a magnetic Weyl semimetal. It displays large anomalous Hall, Nernst and thermal Hall effects with a remarkably large anomalous Hall angle. Here, we present a comprehensive study of how substituting Co by Fe or Ni affects the electrical and thermoelectric transport. We find that doping alters the amplitude of the anomalous transverse coefficients. The maximum decrease in the amplitude of the low-temperature anomalous Hall conductivity

σ

i
j

A

is twofold. Comparing our results with theoretical calculations of the Berry spectrum assuming a rigid shift of the Fermi level, we find that given the modest shift in the position of the chemical potential induced by doping, the experimentally observed variation occurs five times faster than expected. Doping affects the amplitude and the sign of the anomalous Nernst coefficient. Despite these drastic changes, the amplitude of the

α

i
j

A

/

σ

i
j

A

ratio at the Curie temperature remains close to

≈

0.5

k

B

/

e

, in agreement with the scaling relationship observed across many topological magnets.
Experimental study of the magnetic field and current distribution in double-wire Z-pinch
Authors: Jiang Zhiyuan , Wu Jian , Wang Zhenyu , Chen Ziwei , Wang Wei , Shi Huantong , Li Xingwen , Zhang Daoyuan 
Published: June 2023

Abstract
This paper investigates the two-dimensional magnetic field structure of a double-wire Z-pinch during the ablation stage using Faraday rotation diagnosis. The experimental results intuitively display the two-dimensional magnetic field distribution and reveal the process of the global magnetic field spreading towards the load axis as the ablation progresses. The radial current component is determined based on the axial non-uniformity of the magnetic field structure, which further confirms the two-dimensional current path within the ablation stream. Additionally, the significantly enhanced magnetic field intensity and opposing magnetic field direction on both sides of the precursor plasma column indicate the existence of magnetic reconnection and the current layer within the precursor. This process also explicitly reveals the current transfer process from the wire to the precursor column. Through this structured investigation, we facilitate experimental validation of existing simulation outcomes and offer a more intuitive demonstration.
Mind the gap: the discrepancy between simulation and reality drives interpretations of the Galactic Center Excess
Authors: Caron Sascha , Eckner Christopher , Hendriks Luc , Jóhannesson Guðlaugur , Ruiz de Austri Roberto , Zaharijas Gabrijela 
Published: June 2023

Abstract
The Galactic Center Excess (GCE) in GeV gamma rays has been debated for over a decade, with the possibility that it might be due to dark matter annihilation or undetected point sources such as millisecond pulsars (MSPs). This study investigates how the gamma-ray emission model (γEM) used in Galactic center analyses affects the interpretation of the GCE's nature.
To address this issue, we construct an ultra-fast and powerful inference pipeline based on convolutional Deep Ensemble Networks. We explore the two main competing hypotheses for the GCE using a set of γEMs with increasing parametric freedom. We calculate the fractional contribution (f
src) of a dim population of MSPs to the total luminosity of the GCE and analyze its dependence on the complexity of the γEM. For the simplest γEM, we obtain f
src = 0.10 ± 0.07, while the most complex model yields f
src = 0.79 ± 0.24.
In conclusion, we find that the statement about the nature of the GCE (dark matter or not) strongly depends on the assumed γEM.
The quoted results for f
src do not account for the additional uncertainty arising from the fact that the observed gamma-ray sky is out-of-distribution concerning the investigated γEM iterations. We quantify the reality gap between our γEMs using deep-learning-based One-Class Deep Support Vector Data Description networks, revealing that all employed γEMs have gaps to reality.
Our study casts doubt on the validity of previous conclusions regarding the GCE and dark matter, and underscores the urgent need to account for the reality gap and consider previously overlooked “out of domain” uncertainties in future interpretations.
Magnetic stimulation of the sciatic nerve using an implantable high-inductance coil with low-intensity current
Authors: Lee Kyeong Jae , Park Byungwook , Jang Jae-Won , Kim Sohee 
Published: June 2023

Abstract

Objective. Magnetic stimulation using implantable devices may offer a promising alternative to other stimulation methods such as transcranial magnetic stimulation (TMS) or electric stimulation using implantable devices. This alternative may increase the selectivity of stimulation compared to TMS, and eliminate the need to expose tissue to metals in the body, as is required in electric stimulation using implantable devices. However, previous studies of magnetic stimulation of the sciatic nerve used large coils, with a diameter of several tens of mm, and a current intensity in the order of kA. Approach. Since such large coils and high current intensity are not suitable for implantable devices, we investigated the feasibility of using a smaller implantable coil and lower current to elicit neuronal responses. A coil with a diameter of 3 mm and an inductance of 1 mH was used as the implantable stimulator. Main results. Before in vivo experiments, we used 3D computational models to estimate the minimum stimulus intensity required to elicit neuronal responses, resulting in a threshold current above 3.5 A. In in vivo experiments, we observed successful nerve stimulation via compound muscle action potentials elicited in hind-limb muscles when the applied current was above 3.8 A, a significantly reduced current than that used in conventional magnetic stimulation. Significance. We report the feasibility of magnetic stimulation using an implantable millimeter-sized coil and low current of a few amperes to elicit neural responses in peripheral nerves. The proposed method is expected to be an alternative to TMS, with the merit of improved selectivity in stimulation, and to electrical stimulation based on implantable devices, with the merit of avoiding the exposure of conducting metals to neural tissues.
Optimization of the operational domain for ICRH scenarios in WEST from statistical analysis
Authors: Moiraf D. , Morales J. , Colas L. , Fedorczak N. , Gaspar J. , Dumont R. 
Published: June 2023

Abstract
In the WEST tokamak, the Ion Cyclotron Resonance Heating (ICRH) system plays a substantial role in increasing the plasma temperature. However, its efficiency can be lowered by two main phenomena: ripple-induced fast ion losses and technical limits on the antenna current. In this work, a new technique using IR thermography was employed to measure the flux of particles coming from the trapping of fast ions in the toroidal magnetic field ripple. These measurements provided the opportunity to fit parametric scaling laws in order to predict the ion flux intensity and the total power loss for experiments with a plasma current of

I

p

=
500

kA and a major radius of the cyclotron resonance layer of

R

1H

=
2.5

m depending on the heating power and the line-averaged electron density. Furthermore, another semi-empirical parametric scaling was developed to evaluate the coupling resistance depending on controllable parameters such as the line averaged electron density and the radial outer gap between the separatrix and the ICRH antenna. These laws were used to define an operational domain from the database of previous experiments made during campaign C4. The settled operational domain suggests that high power (

P

ICRH

>
3

MW) and high electron density (

n

e

‾

>
5.0
×

10

19

m−3) discharges are suitable for optimized steady-state high confinement scenarios in WEST using ICRH.
Scaling laws for electron kinetic effects in tokamak scrape-off layer plasmas
Authors: Power D. , Mijin S. , Wigram M. , Militello F. , Kingham R.J. 
Published: June 2023

Abstract
Tokamak edge (scrape-off layer (SOL)) plasmas can exhibit non-local transport in the direction parallel to the magnetic field due to steep temperature gradients. This effect along with its consequences has been explored at equilibrium for a range of conditions, from sheath-limited to detached, using the 1D kinetic electron code SOL-KiT, where the electrons are treated kinetically and compared to a self-consistent fluid model. Line-averaged suppression of the kinetic heat flux (compared to Spitzer-Härm) of up to 50% is observed, contrasting with up to 98% enhancement of the sheath heat transmission coefficient, γ

e
. Simple scaling laws in terms of basic SOL parameters for both effects are presented. By implementing these scalings as corrections to the fluid model, we find good agreement with the kinetic model for target electron temperatures. It is found that the strongest kinetic effects in γ

e
are observed at low-intermediate collisionalities, and tend to increase (keeping upstream collisionality fixed) at increasing upstream densities and temperatures. On the other hand, the heat flux suppression is found to increase monotonically as upstream collisionality decreases. The conditions simulated encompass collisionalities relevant to current and future tokamaks.
An lpGBT subsystem for environmental monitoring of experiments
Authors: Firlej Mirosław , Fiutowski Tomasz , Fonseca José , Idzik Marek , Kulis Szymon , Moreira Paulo , Moroń Jakub , Świentek Krzysztof 
Published: June 2023

Abstract
In this paper, the Low Power Giga Bit Transceiver (lpGBT)
built-in system for environmental monitoring of the LHC experiments
is presented. Eight external analogue inputs and eight internal
voltages are multiplexed into an instrumentation amplifier with
selectable gain, whose output is digitised by a 10-bit SAR ADC. A
programmable current source can be enabled for each external input
to implement resistance measurements. Internal channels are used to
monitor power supplies and the output of the temperature sensor. The
environmental monitoring system includes a precise 1 V reference
voltage source and a 10-bit voltage DAC. All blocks were designed
and fabricated in 65 nm CMOS technology, fully characterised, and
the pre- and post-irradiation measurement results are presented in
this work.