bluuebunny/crossref_metadata_2025_split huggingface dataset:
State variation in neighborhood COVID-19 burden across the United States
Authors: Noppert Grace A. , Clarke Philippa , Hoover Andrew , Kubale John , Melendez Robert , Duchowny Kate , Hegde Sonia T. 
Published: March 2024

Abstract
Background
A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 infection burden has been distributed across neighborhoods, a key determinant of both risk and resilience. Without more spatially resolute data, efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities will remain difficult to quantify and intervene on.

Methods
We leveraged spatially-referenced data from 21 states collated through the COVID Neighborhood Project to examine the distribution of COVID-19 cases across neighborhoods and states in the U.S. We also linked the COVID-19 case data with data on the neighborhood social environment from the National Neighborhood Data Archive. We then estimated correlations between neighborhood COVID-19 burden and features of the neighborhood social environment.

Results
We find that the distribution of COVID-19 at the neighborhood-level varies within and between states. The median case count per neighborhood (coefficient of variation (CV)) in Wisconsin is 3078.52 (0.17) per 10,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (CV) is 810.98 (0.84) per 10,000 population. We also find that correlations between features of the neighborhood social environment and burden vary in magnitude and direction by state.

Conclusions
Our findings underscore the importance that local contexts may play when addressing the long-term social and economic fallout communities will face from COVID-19.
Multimodal bioimaging across disciplines and scales: challenges, opportunities and breaking down barriers
Authors: Bischof Johanna , Fletcher Georgina , Verkade Paul , Kuntner Claudia , Fernandez-Rodriguez Julia , Chaabane Linda , Rose Leor Ariel , Walter Andreas , Vandenbosch Michiel , van Zandvoort Marc A. M. J. , Zaritsky Assaf , Keppler Antje , Parsons Maddy 
Published: March 2024

AbstractMultimodal bioimaging is a broad term used to describe experimental workflows that employ two or more different imaging modalities. Such approaches have been in use across life science domains for several years but these remain relatively limited in scope, in part due to the complexity of undertaking these types of analysis. Expanding these workflows to encompass diverse, emerging technology holds potential to revolutionize our understanding of spatial biology. In this perspective we reflect on the instrument and workflows in current use, emerging areas to consider and our experience of the barriers to broader adoption and progress. We propose several enabling solutions across the different challenge areas, emerging opportunities for consideration and highlight some of the key community activities to help move the field forward.
Universal scaling between wave speed and size enables nanoscale high-performance reservoir computing based on propagating spin-waves
Authors: Iihama Satoshi , Koike Yuya , Mizukami Shigemi , Yoshinaga Natsuhiko 
Published: March 2024

AbstractPhysical implementation of neuromorphic computing using spintronics technology has attracted recent attention for the future energy-efficient AI at nanoscales. Reservoir computing (RC) is promising for realizing the neuromorphic computing device. By memorizing past input information and its nonlinear transformation, RC can handle sequential data and perform time-series forecasting and speech recognition. However, the current performance of spintronics RC is poor due to the lack of understanding of its mechanism. Here we demonstrate that nanoscale physical RC using propagating spin waves can achieve high computational power comparable with other state-of-art systems. We develop the theory with response functions to understand the mechanism of high performance. The theory clarifies that wave-based RC generates Volterra series of the input through delayed and nonlinear responses. The delay originates from wave propagation. We find that the scaling of system sizes with the propagation speed of spin waves plays a crucial role in achieving high performance.
The astrophysical parameters of chemically peculiar stars from automatic methods
Authors: Paunzen E. 
Published: March 2024

Context. The chemically peculiar (CP) stars of the upper main sequence are excellent astrophysical laboratories for investigating the diffusion, mass loss, rotational mixing, and pulsation in the presence and absence of a stable local magnetic field. For this, we need a homogeneous set of parameters, such as effective temperature (Teff) and surface gravity (log g), to locate the stars in the Hertzsprung-Russell diagram so that we can then estimate the mass, radius, and age.
Aims. In recent years, the results of several automatic pipelines have been published; these use various techniques and data sets, including Teff and log g values for millions of stars. Because CP stars are known to have flux anomalies, these astrophysical parameters must be tested for their reliability and usefulness. If the outcome is positive, these can be used to analyse the new and faint CP stars published recently.
Methods. I compared published Teff and log g values of a set of CP stars, which are mostly based on high-resolution spectroscopy, with values from four automatic pipeline approaches. In doing so, I searched for possible correlations and offsets.
Results. I present a detailed statistical analysis of a comparison between the ‘standard’ and published Teff and log g values. The accuracy depends on the presence of a magnetic field and the spectral type of the CP subgroups. However, I obtain standard deviations of between 2% and 20%.
Conclusions. Considering the statistical errors, the astrophysical parameters from the literature can be used for CP stars, although caution is advised for magnetic CP stars.
Orbital analysis of stars in the nuclear stellar disc of the Milky Way
Authors: Nieuwmunster N. , Schultheis M. , Sormani M. , Fragkoudi F. , Nogueras-Lara F. , Schödel R. , McMillan P. , Smith L. C. , Sanders J. L. 
Published: March 2024

Context. While orbital analysis studies were so far mainly focused on the Galactic halo, it is possible now to do these studies in the heavily obscured region close to the Galactic Centre.
Aims. We aim to do a detailed orbital analysis of stars located in the nuclear stellar disc (NSD) of the Milky Way allowing us to trace the dynamical history of this structure.
Methods. We integrated orbits of the observed stars in a non-axisymmetric potential. We used a Fourier transform to estimate the orbital frequencies. We compared two orbital classifications, one made by eye and the other with an algorithm, in order to identify the main orbital families. We also compared the Lyapunov and the frequency drift techniques to estimate the chaoticity of the orbits.
Results. We identified several orbital families as chaotic, z-tube, x-tube, banana, fish, saucer, pretzel, 5:4, and 5:6 orbits. As expected for stars located in a NSD, the large majority of orbits are identified as z-tubes (or as a sub-family of z-tubes). Since the latter are parented by x2 orbits, this result supports the contribution of the bar (in which x2 orbits are dominant in the inner region) in the formation of the NSD. Moreover, most of the chaotic orbits are found to be contaminants from the bar or bulge which would confirm the predicted contamination from the most recent NSD models.
Conclusions. Based on a detailed orbital analysis, we were able to classify orbits into various families, most of which are parented by x2-type orbits, which are dominant in the inner part of the bar.
The miniJPAS survey
Authors: Doubrawa L. , Cypriano E. S. , Finoguenov A. , Lopes P. A. A. , Gonzalez A. H. , Maturi M. , Dupke R. A. , González Delgado R. M. , Abramo R. , Benitez N. , Bonoli S. , Carneiro S. , Cenarro J. , Cristóbal-Hornillos D. , Ederoclite A. , Hernán-Caballero A. , López-Sanjuan C. , Marín-Franch A. , Mendes de Oliveira C. , Moles M. , Sodré L. , Taylor K. , Varela J. , Vázquez Ramió H. 
Published: March 2024

Context. Galaxy clusters are an essential tool to understand and constrain the cosmological parameters of our universe. Thanks to its multi-band design, J-PAS offers a unique group and cluster detection window using precise photometric redshifts and sufficient depths.
Aims. We produced galaxy cluster catalogues from miniJPAS, which is a pathfinder survey for the wider J-PAS survey, using the PZWav algorithm.
Methods. Relying only on photometric information, we provide optical mass tracers for the identified clusters, including richness, optical luminosity, and stellar mass. By reanalysing the Chandra mosaic of the AEGIS field, alongside the overlapping XMM-Newton observations, we produced an X-ray catalogue.
Results. The analysis revealed the possible presence of structures with masses of 4 × 1013 M⊙ at redshift 0.75, highlighting the depth of the survey. Comparing results with those from two other cluster catalogues provided by AMICO and VT, we found 43 common clusters with cluster centre offsets of 100 ± 60 kpc and redshift differences below 0.001. We provide a comparison of the cluster catalogues with a catalogue of massive galaxies and report on the significance of cluster selection. In general, we were able to recover approximately 75% of the galaxies with M⋆ > 2 × 1011 M⊙.
Conclusions. This study emphasises the potential of the J-PAS survey and the employed techniques, including down to group scales.
On the impact of downward-directed human voice radiation on ground reflections
Authors: Pörschmann Christoph , Arend Johannes M. 
Published: March 2024

Previous studies on vertical or full-spherical directivity patterns of the human voice showed that the human voice has a slightly downward main radiation direction over a wide frequency range. This paper investigates the phoneme-dependencies of human voice radiation in the vertical plane and analyzes to what extent these characteristics affect the ground reflection and the sound incidence at a listener position. The results show that for most phonemes and below 800 Hz, the ground reflection is stronger than the direct sound component because of the downward-directed main radiation. On the contrary, between 800 Hz and 1.6 kHz, the main radiation direction is upward, probably mainly due to diffraction and reflections from the shoulders and the torso.
Radiation risk during thoracic CT scan for diagnostic and radiotherapy planning procedures in Hassan II, Hospital, Agadir Morocco
Authors: Semghouli S. , El Fahssi M. , Choukri A. , Amaoui B. 
Published: March 2024

Objective: This study aims to establish diagnostic reference levels and radiation-induced risk for the diagnostic CT-scans and the radiotherapy planning CT-scans of the thorax in the regional hospital of Agadir, Morocco.
Materials and methods: Data from two groups of patients undergoing thoracic CT-scans with either diagnostic CT-scans (G1, n = 120) or radiotherapy planning CT-scans (G2, n = 120) are collected. All acquisitions were helical. DRLs is calculated for each type of thoracic CT-scan by estimating the 75% percentile of the CTDIvol and the DLP. The total cancer risk RC was calculated according to the ICRP publication 103. The data are statistically analyzed by SPSS Statistics V21.0. The student’s t-test was used to establish the relationship between gender, clinical indication, and effective dose. The Spearman test was used to establish the relationship between age, BMI, and effective dose.
Results: DRLs in terms of CTDIvol and DLP for radiotherapy planning of thorax were 19.37 mGy and 851.9 mGy cm, respectively. In diagnostic CT-scans, DRLs in terms of CTDIvol for pulmonary embolism, infectious lung disease, Chronic Obstructive Pulmonary Disease (COPD) were 11.13 mGy, 10.26 mGy, and 7.37 mGy respectively, and DRLs in terms of DLP were 417.73 mGy cm, 451.9 mGy cm and 317.78 mGy cm respectively. The cancer risk for radiotherapy planning CT-scans is ranged between 209 and 1564 with a mean value of 715 per 1 million of CT-scan. For diagnostic CT-scans, the cancer risk is ranged between 199 and 626 with a mean value of 357 per 1 million for pulmonary embolism, between 238 and 668 with a mean value of 369 per 1 million for infectious lung disease, and between 130 and 393 with a mean value of 244 per 1 million for COPD.
Conclusion: Optimizing the doses received by patients in medical imaging, particularly CT, has become an obligation. Reviewing practices and procedures and promoting a radiation protection culture can help to better manage the radiation doses received by the patient.
200 ans d’électricité solaire
Authors: Suchet Daniel , Guillemoles Jean-Francis 
Published: March 2024

Deux-cents ans après la découverte de l’effet photovoltaïque par Edmond Becquerel, les panneaux solaires sont devenus une technologie du quotidien, que l’on croise sur les toits des maisons ou le long des voies de chemin de fer. Cette apparente familiarité cache cependant l’évolution rapide et continue de la filière : les panneaux installés aujourd’hui sont bien différents de ceux mis en place il y a quelques années, en termes de conception, de couts comme de défis à relever. Le photovoltaïque s’impose maintenant comme un acteur incontournable du paysage énergétique mondial, et son dynamisme exige de suivre son évolution de près.
Cet article se propose de faire le point sur l’état actuel de la filière en présentant les ordres de grandeur typiques, la dynamique du secteur et les perspectives à venir. Il pourra être complété par les questions-réponses élaborées par des chercheurs du domaine et disponibles sur https://solairepv.fr/.
Le captage et le stockage du CO2
Authors: Delprat-Jannaud Florence 
Published: March 2024

Le captage et le stockage géologique du gaz carbonique ne sont pas des technologies nouvelles : le captage et la séparation du CO2 sont appliqués dans l’industrie depuis des décennies, et l’injection de CO2 est pratiquée depuis les années 1970 pour la récupération assistée du pétrole. Toutefois, des verrous restent à lever pour leur déploiement à grande échelle.
Cet article propose une revue des technologies existantes, qu’elles soient matures ou en cours de développement, ainsi qu’une discussion sur les enjeux à adresser : réduction des couts et de la pénalité énergétique pour le captage du CO2, mutualisation des infrastructures pour le transport, démonstration de la faisabilité du stockage massif ainsi que perspectives en matière d’utilisation.
Le numérique est une industrie de plus en plus lourde
Authors: Bidan Marc , Ferreboeuf Hugues , Marrauld Laurie , Rodhain Florence 
Published: March 2024

L’informatique en nuage et les pratiques qui s’y rattachent sont l’une des activités les plus énergivores de tout l’écosystème numérique. Le 10 mars 2021, un incendie a détruit entièrement l’un des quatre centres de données strasbourgeois de OVH, le numéro un français du “cloud computing”. Cet incendie malheureux (voir la photo, p. 153) et ses conséquences lourdes doivent nous inciter à repenser le rapport du numérique à l’environnement et à sa propre durabilité. Les dégâts et les impacts de cet incendie montrent que le “cloud”, le « nuage », n’est pas si éthéré que cela. Bien au contraire. Lorsque le centre de données brule, c’est bien de la matière qui brule. Nos données sont hébergées et traitées dans des usines, même si leur réalité physique, virtualisée par les discours marketing et médiatiques, est devenue de moins en moins perceptible pour l’utilisateur final.
Data-driven budget allocation of retail media by ad product, funnel metric, and brand size
Authors: Qin Vivian , Pauwels Koen , Zhou Bobby 
Published: March 2024

AbstractSellers on online marketplaces such as Amazon.com use a variety of retail and retail media advertising services to improve their brand performance, including awareness, consideration, and revenue. But how can they measure their progress and drive these metrics? For 122,000 brands, we measure Amazon shoppers’ brand awareness, consideration, and purchases and test how they change with ad and retail actions. Furthermore, we compare these brands’ past media mix with the recommended allocation based on the model’s coefficients. We find that new product launches and upper-funnel retail media advertising are particularly effective for small brands. Medium-sized and large brands benefit most from lower-funnel advertising. For the funnel stages, all three metrics benefit from the number of new reviews, % discount, negative keywords, and geo-reach campaigns. These results are robust across different product categories, but we find notable differences in how upper- and middle-funnel ad products succeed in driving sales.
Testing the unique item hypothesis with phrasal verbs in Chinese–English translations of Lu Xun’s short stories: the perspective of translation directionality
Authors: Zhan Juhong , Jiang Yue 
Published: March 2024

AbstractThe present study revisits the unique item hypothesis (UIH) from the perspective of translation directionality in the Chinese–English(C–E) language pair. Phrasal verb (PV) is used as the linguistic feature to investigate whether UIH holds true in C–E translations and whether translation directionality plays a role in the representation of unique items, based on a self-built parallel corpus of Lu Xun’s short stories and their English translations done by two L1 and two L2 translators, and a reference corpus of BNC short stories as the non-translated reference. It is found PVs are significantly over-represented in C–E translated texts when compared with English non-translated texts, and this overrepresentation is mainly attributed to the remarkable use of PVs by L1 translators; and there is a significant difference in the use of PVs by translators of different directionality, while no significant difference is found within the same direction. Additionally, L2 translators tend to use a limited range of PVs and prefer transparent PVs to semi-transparent and opaque ones. The results falsify the UIH in general and suggest that UIH is a conditional translation tendency constrained by translation directionality, or UIH is directionality-dependent. Gravitational pull model is used to analyze and explain the divergence between different translation directions.
Social support and reference group: the dual action mechanism of the social network on subjective poverty
Authors: Li Suxia , Cai Meng 
Published: March 2024

AbstractThe social network is an important way to promote subjective poverty alleviation. Based on China Labor Dynamics Survey (CLDS) data from 2014, 2016, and 2018, this paper analyzes the action mechanism of social networks on the subjective poverty of Chinese residents. The results find that social network acts on subjective poverty through social support and reference groups. Specifically, social networks provide emotional and instrumental social support for individuals, which can effectively alleviate subjective poverty. In addition, when the social network members serve as the reference group, the higher the status of individuals in the network, the weaker the subjective poverty. Secondly, objective poverty is the mediating path between the social support function of social networks and subjective poverty. Finally, objective poverty is a regulator of the effect of social networks as a reference group on subjective poverty. When individuals are objectively poor, the alleviating effect of social networks as a reference group on subjective poverty is weakened. In summary, placing social networks’ social support and reference group functions under the same framework helps fully grasp social networks’ social benefits. As a result, consolidating China’s poverty reduction achievements and focusing on the informal social insurance role of social networks are conducive to alleviating subjective poverty.
Beyond occupational exhaustion: exploring the influence of positive meaningful work on teachers’ psychoemotional well-being in the digital age
Authors: Trillo A. , Bretones F. D. , Giuliano R. , Manuti A. 
Published: March 2024

AbstractThe teaching profession, intrinsically vocational, bestows upon its practitioners a deep sense of meaning and personal dedication. However, this personal commitment can be affected by the constant evolution of labour demands, exacerbated by the increasing technification of education. Both these needs, at a personal and organisational level, can lead to the development of emotional exhaustion, a psychological state manifesting with increased frequency in the educational sector. In this context, and referencing the job demands-resources model, we propose a model focused on the examination of the role according to the positive meaning in modulating emotional exhaustion. The research was conducted with a sample of 213 secondary school teachers in southern Spain, using a survey methodology. All data were analysed throughout the SPSS and Smart PLS statistical programs. The obtained results indicate that the presence of positive meaningful work has a negative impact on emotional exhaustion, technocomplexity and work-family conflict. Furthermore, the negative effect of positive meaning work on work-family conflict was stronger for teachers with greater experience. This study enhances the understanding of teacher well-being, suggesting the update of theoretical models to reflect current labour complexities, promoting managerial strategies and flexible policies to mitigate emotional exhaustion and foster a healthy working environment.
Assessing Korean children’s comprehension of legal terms and roles across age groups
Authors: Ahn Jaekyung 
Published: March 2024

AbstractThis study investigates the comprehension of legal terminology among children aged 6–12, focusing on terms frequently encountered in court proceedings. By presenting 13 legal terms to 26 participants, the research aimed to assess their familiarity and understanding. Findings indicate a general awareness of terms such as “police,” “judge,” and “prison,” whereas “evidence” and “prosecution” were less understood, highlighting a gap in children’s legal vocabulary. Misconceptions regarding the roles of legal professionals, notably lawyers and statement assistants, were also observed, with comprehension varying across different age groups. These results underscore the necessity for criminal justice officials to adapt their questioning methods to accommodate the developmental stages of children, ensuring more effective communication during legal processes. Although the study’s scope was limited to children without direct legal system experiences, its insights contribute valuable knowledge to the body of research on children’s legal understanding, advocating for informed approaches in legal interactions with minors.