bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interface as the site of infrastructural change
Authors: Lee Hwankyung Janet 
Published: May 2023

AbstractThis study contributes to critical infrastructure literature by investigating people’s evolving interactions with surveillance infrastructure at the sites of ‘interface’, specifically focusing on the tracing infrastructure called Electronic Entry Register, devised by the South Korean government during the coronavirus disease 2019 (COVID-19) pandemic. Highlighting the significance of the infrastructure’s ‘interface’ as the site of agential interactions that engender new relations, this paper illustrated the diverse ways in which the structural organisations of tracing infrastructure transformed continually and the resultant meanings of surveillance shifted. To this end, a sequence of field research comprising walking interviews, observations, and sit-in interviews was conducted with 11 research participants across various urban sites in Seoul, a city with one of the highest penetration rates of smartphone use. This situated investigation within the geographical context of high sociotechnical potency is noteworthy because urban infrastructuring increasingly invites digital mediation. The empirical evidence demonstrates how the micro-struggles at the interface sites engendered significant infrastructural changes, which in turn reshaped the lived experiences of surveillance. The results flag the need to attend to the conceptual and analytical significance of ‘interface’ in studying digital infrastructure and reflect on how unfolding sociotechnical relations could express digital infrastructure differently.
A machine learning-based prediction of crystal orientations for multicrystalline materials
Authors: Hara Kyoka , Kojima Takuto , Kutsukake Kentaro , Kudo Hiroaki , Usami Noritaka 
Published: May 2023

We established a rapid, low-cost, and accurate technique to measure crystallographic orientations in multicrystalline materials by optical images and machine learning. A long short-term memory neural network was trained with pairs of light reflection patterns and the correct orientations of each grain, successfully predicting orientation with an error median of 8.61°. The model was improved by diverse data taken from various incident light angles and by data augmentation. When trained on different incident angles, the model was capable of estimating different orientations. This is related to the geometrical configuration of the incident light angles and surface facets of the crystal. The failure in certain orientations is thought to be complemented by supplementary data taken from different incident angles. Combining data from multiple incident angles, we acquired an error median of 4.35°. Data augmentation was successfully performed, reducing error by an additional 35%. This technique can provide the crystallographic orientations of a 15 × 15 cm2 sized wafer in less than 8 min, while baseline techniques such as electron backscatter diffraction and Laue scanner may take more than 10 h. The rapid and accurate measurement can accelerate data collection for full-sized ingots, helping us gain a comprehensive understanding of crystal growth. We believe that our technique will contribute to controlling crystalline structure for the fabrication of high-performance materials.
The populist radical right beyond Europe
Authors: Rovira Kaltwasser Cristóbal , Zanotti Lisa 
Published: May 2023

AbstractAlthough the populist radical right (PRR) has become a global phenomenon, research about it focuses much more on Europe than on other regions. To counter this imbalance, this special issue provides comparative evidence on the discourse elaborated by the PRR on six non-European countries: Australia, Brazil, Chile, India, Turkey, and the United States. As we will show, non-European PRR forces articulate authoritarian, nativist, and populist ideas in different ways than their European brethren and they employ specific ideological elements (e.g., neoliberalism and religion) to advance discourses that resonate with the social grievances that are preponderant in the context wherein they operate. This reveals that part of the success of the PRR is related to its discursive flexibility and capacity to adapt itself with the aim of constructing frames that connect with the anxieties experimented by segments of the voting public across different national and regional settings.
The prominence of English in the Linguistic Landscape of Jamshedpur
Authors: Mishra Sneha 
Published: May 2023

Abstract
The study explores the public and private signs in the Linguistic Landscape (LL) of Jamshedpur city in India. It
employs a mixed methods approach as it integrates quantitative and qualitative methods of data analysis to reveal the city’s
careful display of monolingual, bilingual, or multilingual signs representing distinct identities. The study investigates the
distribution of signs across five sample locations while focusing on the signs’ content, their functions (symbolic vs
informational), and explores the sign producers’ motivation for their language choice on signs.
Mixed-frequency medium-voltage aging analysis of epoxy in the absence of partial discharges and dielectric heating
Authors: Küchler Florian , Färber Raphael , Bill Fabian , Renggli Samuel , Franck Christian M 
Published: May 2023

Abstract
Premature failures of polymeric insulation under inverter-type electrical stress are predominantly associated with partial discharge (PD) erosion or dielectric heating. In the present contribution, an approach for aging analysis in the absence of the aforementioned mechanisms is proposed and applied to anhydride-cured epoxy samples, which are designed with a recessed shape to achieve PD-free aging. Dielectric heating was found to be negligible under all applied experimental conditions. Aging of samples was performed with a specialized setup for the generation of mixed-frequency medium-voltage (MF-MV) waveforms under controlled temperature and humidity conditions. The health state of samples was evaluated before and after different aging sequences by analysis of potential aging markers, namely the short-term AC breakdown strength, the complex dielectric permittivity (real and imaginary part), the volume resistivity, the glass transition temperature and the characteristic absorbance peaks obtained by Fourier-transform infrared spectroscopy (FTIR). Of these, only the breakdown strength exhibited significant aging effects under hygroelectric stress, which is hypothesized to be attributed to localized microcracking caused by electromechanical stress. Pure electrical MF-MV stress (i.e. at room temperature and dry conditions) was not found to be critical under the applied experimental conditions. By means of FTIR, hydrolysis was excluded as a possible aging mechanisms. In summary, the proposed aging analysis approach was found to be suitable to reveal aging effects empirically as well as to give indications about the underlying aging mechanisms without the need for excessively long or accelerated lifetime testing.
Anapole-assisted ultra-narrow-band lattice resonance in slotted silicon nanodisk arrays
Authors: Luo Minghe , Hu Jinyong , Li Yiming , Bai Wangdi , Zhang Runlu , Lin Qi , Wang Lingling 
Published: May 2023

Abstract
Anapole modes supported by well-designed dielectric nanostructures have attracted extensive attention in the field of nanophotonic applications owing to their unique strong near-field enhancement and non-radiative far-field scattering characteristics, yet it is still difficult to achieve high Q-factor resonance features with a narrow linewidth. In this work, a periodic slotted silicon nanodisk array is theoretically proposed to realize narrow linewidth and high Q-factor resonance in the near-infrared wavelength range. Through introducing the coupling between the anapole modes in the single dielectric nanostructure and the diffractive wave mode arising from the periodic array, the as-designed dielectric nanostructure synchronously manifests excellent spectral features with a bandwidth as narrow as about 2.0 nm, a large Q-factor of 599, an almost-perfect transmission amplitude of 96% and a relatively high electric field intensity (>2809 times) in the middle of the slotted silicon nanodisk. The as-designed nanostructure possessing these outstanding optical features can work as a high-efficiency refractive index sensor, whose sensitivity can reach 161.5 nm RIU−1 with its figure of merit attaining 80.8 RIU−1, efficiently distinguishing an index change of less than 0.01. The proposed slotted silicon nanodisk array exhibits tremendous potential for expanding applications such as label-free biochemical sensing, plasmonic refractive index sensing and surface enhancement spectroscopy.
SOLPS-ITER analysis of a proposed STEP double null geometry: impact of the degree of disconnection on power-sharing
Authors: Osawa R.T. , Moulton D. , Newton S.L. , Henderson S.S. , Lipschultz B. , Hudoba A. 
Published: May 2023

Abstract
To mitigate the issue of plasma exhaust in reactor scale tight aspect ratio tokamaks such as Spherical Tokamak for Energy Production (STEP), a double-null (DN) configuration is thought to be advantageous over a single-null (SN) configuration. However, practical control of the plasma vertical stability will likely lead to an oscillation around the symmetry point, which may lead to transient loading of the divertors. In this work we investigated the impact of disconnection of the two separatrices

δ

R

s
e
p

on the power-sharing between the divertors in disconnected-double-null configurations for the initial iteration of STEP design using the SOLPS-ITER code without drifts. The power fraction to the primary divertor increased with

δ

R

s
e
p

, reaching ∼95% at the highest

δ

R

s
e
p

which is representative of SN. The total power fraction to the inner divertors (upper + lower), however, did not show an increase with

δ

R

s
e
p

for

δ

R

sep

/

λ
q

⩽
2

, where λ

q
is the parallel heat flux decay length, and even at the highest

δ

R

s
e
p

it showed only ∼30% increase from connected-double-null (CDN), unlike the experimental results for current conventional aspect ratio machines. We found two underlying mechanisms that could explain this result—the total flux compression from the outer midplane to the primary inner divertor target and the parallel current in the primary SOL (between the two separatrices). This work implies that the benefit of DN over SN in power load onto the inner divertor in STEP may be less than found experimentally in conventional tokamaks due to its tight aspect ratio. Further investigations through experiments, especially on STs and simulations with additional physics such as drifts, are the subject of a future investigation.
An effective flight attitude and trajectory control scheme for sounding rocket
Authors: Zhang Wentong , Wen Chunyu , Zhou Tianxing 
Published: May 2023

Abstract
Existing sounding rocket flight is probably disturbed by external factors, of which attitude is lack of automatic control function and flight trajectory is not stable, thus the project designed a canard adjustable posture scheme based on PID control algorithm, which can effectively solve the sounding rocket flight stability and flight path anti-interference problem with high efficiency.
Improvement methodology of predicting engine jet noise in engineering application
Authors: Zeng Yaoxiang , Wang Haoxuan , Rong Yi , He Wei 
Published: May 2023

Abstract
The typical methods for predicting rocket engine noise were comprehensively illustrated. Simultaneously including some modification, implement noise environmental prediction of any engine number, any position via programming. For instance, in a liquid rocket engine, noise field of the double engine was predicted, the results of which were compared with experimental data. We then evaluated the advantages and disadvantages of different methods and analyzed the source of the error. Finally, a methodology of predicting the jet noise was proposed, which can be applied to multiple engines. Given the high prediction accuracy on the overall acoustic pressure and the acoustic pressure spectrum, this method is of great importance in engineering application.
The Hydrogen Wind Turbine: Design of a wind turbine optimised for hydrogen production
Authors: Bechmann A , Barlas T , Frandsen H L , Jin L , Nakashima R N 
Published: May 2023

Abstract
“Green” hydrogen produced using electrolysis and zero-carbon electricity may be a path for the EU to reduce its dependence on natural gas imports and support the green transition. The EU uses 10 Mt of natural gas yearly for hydrogen production, representing a potential 120 GW market for the wind industry. Placing the hydrogen production (electrolysers) near the energy source (wind turbines) instead of the consumer (e.g. fertiliser producers) changes the energy transportation from power to hydrogen and opens new design possibilities. This work investigates how an off-grid wind turbine designed for hydrogen production may differ from a traditional one.
The paper first describes the numerical modelling framework used to estimate the hydrogen production and cost of a “hydrogen wind turbine.” The main parameters of the system (generator rating, rotor diameter, electrolyser rating and battery capacity) are then optimised to reduce the levelised cost of hydrogen (LCOH). Results show that an LCOH-optimised wind turbine should have a lower specific power (i.e. a larger rotor) than an LCOE-optimised design. We find a 7% LCOH reduction compared to the reference system, opening the door for future wind turbines designed directly for hydrogen production.
A workflow for including atmospheric stability effects in wind resource and yield assessment and its evaluation against wind measurements and SCADA
Authors: Diallo M. , Kwak G. , Tüzünoglu S , Abiven C. , Rol E. , Vermeir J. , Frère A. 
Published: May 2023

Abstract
Atmospheric stability conditions are known to impact the wind resource and yield assessments. However, they are too barely or not correctly taken into account in the industry due to several reasons such as limitations of commercial software or the relative inertia in updating industrial processes. This paper proposes a simplistic approach to improve wind resource and yield assessment certainty while keeping very similar software and industry processes. Two test cases are considered. First, the wind speed estimates made using a CFD software (Meteodyn 5.3) for different stability classes are compared to measurements obtained on a site with four met masts. Second, the wake losses obtained with a commercial yield assessment solver (WindPRO 3.5) considering different wake decay constant definitions are compared to SCADA data. In both cases, it appears that dividing the timeseries in “stability classes” and using corresponding stability parameters in the CFD and in the wake model parameters enable a reduction of the uncertainty. In the case of the energy estimation compared to SCADA, an improvement of 1.25% is obtained compared to the conventional approach.
Radiofrequency sensing systems based on emerging two-dimensional materials and devices
Authors: Xue Honglei , Gao Wanshuo , Gao Jianwei , Schneider Grégory F , Wang Chen , Fu Wangyang 
Published: May 2023

Abstract
As one of the most promising platforms for wireless communication, radiofrequency (RF) electronics have been widely advocated for the development of sensing systems. In particular, monolayer and few-layer two-dimensional (2D) materials exhibiting extraordinary electrical properties not only can be integrated to improve the performance of RF circuits, but also to display exceptional sensing capabilities. This review provides an in-depth perspective of current trends and challenges in the application of 2D materials for RF biochemical sensing, including: (i) theoretical bases to achieve different sensing schemes; (ii) unique properties of 2D materials for reasoning their applications in RF sensing; (iii) developments in 2D RF sensors to facilitate the practice of biochemical sensors with ever-demanding sensitivities, as well as their potential uses in meeting the requirements and challenges of biochemical sensors in the Internet-of-Things era.
A monotone numerical flux for quasilinear convection diffusion equation
Authors: Chainais-Hillairet C. , Eymard R. , Fuhrmann J. 
Published: May 2023

We propose a new numerical 2-point flux for a quasilinear convection–diffusion equation. This numerical flux is shown to be an approximation of the numerical flux derived from the solution of a two-point Dirichlet boundary value problem for the projection of the continuous flux onto the line connecting neighboring collocation points. The later approach generalizes an idea first proposed by Scharfetter and Gummel [IEEE Trans. Electron Devices 16 (1969), pp. 64–77] for linear drift-diffusion equations. We establish first that the new flux satisfies sufficient properties ensuring the convergence of the associate finite volume scheme, while respecting the maximum principle. Then, we pay attention to the long time behavior of the scheme: we show relative entropy decay properties satisfied by the new numerical flux as well as by the generalized Scharfetter-Gummel flux. The proof of these properties uses a generalization of some discrete (and continuous) log-Sobolev inequalities. The corresponding decay of the relative entropy of the continuous solution is proved in the appendix. Some 1D numerical experiments confirm the theoretical results.
Invited Commentary: The Winding Road to Identifying the Annual Rate of Tuberculosis Infection
Authors: Horsburgh, Jr. C Robert 
Published: May 2023

AbstractMany persons with immunological tests indicating Mycobacterium tuberculosis infection, such as tuberculin skin tests or interferon-γ release assays, are at risk of progression to tuberculosis disease. Persons whose tests revert to negative may no longer be at such risk. Therefore, identifying the rate of test reversion, potentially indicating cure of M. tuberculosis infection, is an important area of investigation. In their accompanying article (Am J Epidemiol. 2023;192(12):1937–1943), Schwalb et al. extract data on test reversion from prechemotherapy literature and construct a model to predict the rate of reversion, and thus the likely cure of infection. Unfortunately, the incompleteness of the historical data and the use of imprecise definitions of test positivity and reversion lead to substantial misclassification and limit the usefulness of the model. Better definitions and improved tests will be needed in order to develop a clear picture of this aspect of the natural history of tuberculosis.
‘I Laid Earl and Clementine on a Chair and Whipped Them’: Child Murder and Criminal Justice in the Jim Crow South
Authors: Adler Jeffrey S 
Published: May 2023

Abstract
This article explores a horrific 1945 child murder in New Orleans and argues that the case revealed broader developments in Southern criminal justice in the age of Jim Crow. Ernestine Bonneval tied her young children to an ironing board and lashed them, killing her 7-year-old daughter. The murder generated outrage, with residents demanding severe punishment, even the gallows, for the brutal crime. After a jury returned a guilty verdict, the judge sentenced the killer to one year in the state penitentiary. New Orleanians initially expressed fury at the lenient punishment but quickly conveyed sympathy for the murdering mother and perceived her as the victim of a failed legal system. The shift reflected four wider changes in white sensibilities about the role of the state. First, New Deal programs establishing a safety net during the Great Depression transformed white attitudes toward government authority. Second, Clementine Bonneval’s death became tethered to a national panic over juvenile delinquency, even though the victim was only 7. Third, gender ideals influenced perceptions of women who engaged in criminal violence. Fourth, and most important, Southern whites increasingly encoded violence as an African American behavior. As a consequence, white killers became hapless victims of circumstances beyond their control. The Bonneval murder was reinterpreted within a racialized construction of crime and criminal culpability that produced more aggressive policing and more draconian punishment for African American suspects and fewer arrests, indictments, convictions, and long prison sentences for white killers. Jim Crow, in short, shaped the modernization of Southern criminal justice.
Mutate and observe: utilizing deep neural networks to investigate the impact of mutations on translation initiation
Authors: Ozbulak Utku , Lee Hyun Jung , Zuallaert Jasper , De Neve Wesley , Depuydt Stephen , Vankerschaver Joris 
Published: May 2023

Abstract

Motivation
The primary regulatory step for protein synthesis is translation initiation, which makes it one of the fundamental steps in the central dogma of molecular biology. In recent years, a number of approaches relying on deep neural networks (DNNs) have demonstrated superb results for predicting translation initiation sites. These state-of-the art results indicate that DNNs are indeed capable of learning complex features that are relevant to the process of translation. Unfortunately, most of those research efforts that employ DNNs only provide shallow insights into the decision-making processes of the trained models and lack highly sought-after novel biologically relevant observations.

Results
By improving upon the state-of-the-art DNNs and large-scale human genomic datasets in the area of translation initiation, we propose an innovative computational methodology to get neural networks to explain what was learned from data. Our methodology, which relies on in silico point mutations, reveals that DNNs trained for translation initiation site detection correctly identify well-established biological signals relevant to translation, including (i) the importance of the Kozak sequence, (ii) the damaging consequences of ATG mutations in the 5′-untranslated region, (iii) the detrimental effect of premature stop codons in the coding region, and (iv) the relative insignificance of cytosine mutations for translation. Furthermore, we delve deeper into the Beta-globin gene and investigate various mutations that lead to the Beta thalassemia disorder. Finally, we conclude our work by laying out a number of novel observations regarding mutations and translation initiation.

Availability and implementation
For data, models, and code, visit github.com/utkuozbulak/mutate-and-observe.