bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining potential Long COVID effects through utilization of healthcare resources: a retrospective, population-based, matched cohort study comparing individuals with and without prior SARS-CoV-2 infection
Authors: Castriotta Luigi , Onder Graziano , Rosolen Valentina , Beorchia Yvonne , Fanizza Caterina , Bellini Benedetta , Floridia Marco , Giuliano Marina , Silenzi Andrea , Pricci Flavia , Grisetti Tiziana , Grassi Tiziana , Tiple Dorina , Villa Marika , Profili Francesco , Francesconi Paolo , Barbone Fabio , Bisceglia Lucia , Brusaferro Silvio 
Published: January 2024

Abstract

Background
A significant proportion of individuals reports persistent clinical manifestations following SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) acute infection. Nevertheless, knowledge of the burden of this condition—often referred to as ‘Long COVID’—on the health care system remains limited. This study aimed to evaluate healthcare utilization potentially related to Long COVID.

Methods
Population-based, retrospective, multi-center cohort study that analyzed hospital admissions and utilization of outpatient visits and diagnostic tests between adults aged 40 years and older recovered from SARS-CoV-2 infection occurred between February 2020 and December 2021 and matched unexposed individuals during a 6-month observation period. Healthcare utilization was analyzed by considering the setting of care for acute SARS-CoV-2 infection [non-hospitalized, hospitalized and intensive care unit (ICU)-admitted] as a proxy for the severity of acute infection and epidemic phases characterized by different SARS-CoV-2 variants. Data were retrieved from regional health administrative databases of three Italian Regions.

Results
The final cohort consisted of 307 994 previously SARS-CoV-2 infected matched with 307 994 uninfected individuals. Among exposed individuals, 92.2% were not hospitalized during the acute infection, 7.3% were hospitalized in a non-ICU ward and 0.5% were admitted to ICU. Individuals previously infected with SARS-CoV-2 (vs. unexposed), especially those hospitalized or admitted to ICU, reported higher utilization of outpatient visits (range of pooled Incidence Rate Ratios across phases; non-hospitalized: 1.11–1.33, hospitalized: 1.93–2.19, ICU-admitted: 3.01–3.40), diagnostic tests (non-hospitalized: 1.35–1.84, hospitalized: 2.86–3.43, ICU-admitted: 4.72–7.03) and hospitalizations (non-hospitalized: 1.00–1.52, hospitalized: 1.87–2.36, ICU-admitted: 4.69–5.38).

Conclusions
This study found that SARS-CoV-2 infection was associated with increased use of health care in the 6 months following infection, and association was mainly driven by acute infection severity.
Capitalism and the French Revolution
Authors: Sonenscher Michael 
Published: January 2024

Abstract
The aim of this article is to raise, and begin to answer, a question about the relationship between the French Revolution and capitalism. Discussion of the relationship between the two subjects began somewhat later in the nineteenth century than is usually assumed and owed quite a lot to the thought of one of Jean Jaurès’ contemporaries, the Italian Marxist Antonio Labriola. As will be shown, the connection that Labriola made between capitalism and the French Revolution was based on a number of distinctive concepts of capitalism, the French Revolution and history itself. One of the implications of this article is to suggest that without these concepts the French Revolution could begin to look quite different.
Multienvironment genomic prediction in tetraploid potato
Authors: Wilson Stefan , Zheng Chaozhi , Maliepaard Chris , Mulder Han A , Visser Richard G F , van Eeuwijk Fred 
Published: January 2024

Abstract
Multienvironment genomic prediction was applied to tetraploid potato using 147 potato varieties, tested for 2 years, in 3 locations representative of 3 distinct regions in Europe. Different prediction scenarios were investigated to help breeders predict genotypic performance in the regions from one year to the next, for genotypes that were tested this year (scenario 1), as well as new genotypes (scenario 3). In scenario 2, we predicted new genotypes for any one of the 6 trials, using all the information that is available. The choice of prediction model required assessment of the variance–covariance matrix in a mixed model that takes into account heterogeneity of genetic variances and correlations. This was done for each analyzed trait (tuber weight, tuber length, and dry matter) where examples of both limited and higher degrees of heterogeneity was observed. This explains why dry matter did not need complex multienvironment modeling to combine environments and increase prediction ability, while prediction in tuber weight, improved only when models were flexible enough to capture the heterogeneous variances and covariances between environments. We also found that the prediction abilities in a target trial condition decreased, if trials with a low genetic correlation to the target were included when training the model. Genomic prediction in tetraploid potato can work once there is clarity about the prediction scenario, a suitable training set is created, and a multienvironment prediction model is chosen based on the patterns of G×E indicated by the genetic variances and covariances.
Expression and potential regulatory functions of Drosophila octopamine receptors in the female reproductive tract
Authors: Rohrbach Ethan W , Knapp Elizabeth M , Deshpande Sonali A , Krantz David E 
Published: January 2024

Abstract
Aminergic signaling is known to play a critical role in regulating female reproductive processes in both mammals and insects. In Drosophila, the ortholog of noradrenaline, octopamine, is required for ovulation as well as several other female reproductive processes. Two octopamine receptors have already been shown to be expressed in the Drosophila reproductive tract and to be required for egg-laying: OAMB and Octβ2R. The Drosophila genome contains 4 additional octopamine receptors—Octα2R, Octβ1R, Octβ3R, and Oct-TyrR—but their cellular patterns of expression in the reproductive tract and potential contribution(s) to egg-laying are not known. In addition, the mechanisms by which OAMB and Octβ2R regulate reproduction are incompletely understood. Using a panel of MiMIC Gal4 lines, we show that Octα2R, Octβ1R, Octβ3R, and Oct-TyrR receptors are not detectable in either epithelium or muscle but are clearly expressed in neurons within the female fly reproductive tract. Optogenetic activation of neurons that express at least 3 types of octopamine receptors stimulates contractions in the lateral oviduct. We also find that octopamine stimulates calcium transients in the sperm storage organs and that its effects in spermathecal, secretory cells, can be blocked by knock-down of OAMB. These data extend our understanding of the pathways by which octopamine regulates egg-laying in Drosophila and raise the possibility that multiple octopamine receptor subtypes could play a role in this process.
Bayesian tomography using polynomial chaos expansion and deep generative networks
Authors: Meles Giovanni Angelo , Amaya Macarena , Levy Shiran , Marelli Stefano , Linde Niklas 
Published: January 2024

SUMMARY
Implementations of Markov chain Monte Carlo (MCMC) methods need to confront two fundamental challenges: accurate representation of prior information and efficient evaluation of likelihood functions. The definition and sampling of the prior distribution can often be facilitated by standard dimensionality-reduction techniques such as Principal Component Analysis (PCA). Additionally, PCA-based decompositions can enable the implementation of accurate surrogate models, for instance, based on polynomial chaos expansion (PCE). However, intricate geological priors with sharp contrasts may demand advanced dimensionality-reduction techniques, such as deep generative models (DGMs). Although suitable for prior sampling, these DGMs pose challenges for surrogate modelling. In this contribution, we present a MCMC strategy that combines the high reconstruction performance of a DGM in the form of a variational autoencoder with the accuracy of PCA–PCE surrogate modelling. Additionally, we introduce a physics-informed PCA decomposition to improve accuracy and reduce the computational burden associated with surrogate modelling. Our methodology is exemplified in the context of Bayesian ground-penetrating radar traveltime tomography using channelized subsurface structures, providing accurate reconstructions and significant speed-ups, particularly when the computation of the full-physics forward model is costly.
Ascent of volatile-rich felsic magma in dykes: a numerical model applied to deep-sourced porphyry intrusions
Authors: Abdullin R , Melnik O , Rust A , Blundy J , Lgotina E , Golovin S 
Published: January 2024

SUMMARY
Dyke propagation is a mechanism for more rapid ascent of felsic magmas through the crust than is possible via diapirs or percolative flow. As it ascends, the magma undergoes complex physical and chemical transformations induced by decompression and cooling. These processes dramatically change the magma density and viscosity, which in turn affect magma ascent rate and the depth at which the dyke arrests. We present a mathematical model of dyke propagation for silicic magmas taking into account the presence of multiple volatile species (H2O and CO2), bubble growth, heat advection and loss, crystallization and latent heat release. We consider conditions for dykes associated with porphyry ore deposits, which may represent an end-member in rapid ascent of felsic magmas from depth. In particular, we simulate the propagation of dykes launched from a deep (900 MPa), volatile-saturated magma source, testing the effects of the magma H2O/CO2 content, temperature and mass on its ascent rate and final emplacement depth. The model predicts short ascent times (hours to days), with a large increase in viscosity at shallow depth, leading to stagnation and solidification of the dyke. Higher initial water content, higher temperature and larger mass of the magma in the dyke promote faster propagation and shallower arrest. Volatile loss from ascending magma remains limited until the stagnation depth, providing a potential mechanism for transfer of deep volatiles to hypabyssal blind intrusions associated with porphyry ore deposits. Our findings are applicable to the problem of silicic magma ascent through the crust more generally.
Oceanic crust—seismic structure, lithology and the cause of the 2A Event at borehole 504B
Authors: Peirce C , Hobbs R W 
Published: January 2024

SUMMARY
This study focuses on the 3-D velocity structure and thickness of ∼7-Myr-old oceanic crust surrounding borehole 504B, located ∼235 km from the intermediate-spreading Costa Rica Rift (Panama Basin). It investigates how well seismic structure determined by 3-D tomography compares with actual lithology and, consequently, what the origin and cause might be of an amplitude anomaly, the 2A Event, that is observed in multichannel seismic data. Our P-wave model shows an ∼0.3-km-thick sediment layer of velocity between ∼1.6 and 1.9 km s−1 (gradient 1.0 s−1), bound at its base by a velocity step to 4.8 km s−1 at the top of oceanic crustal Layer 2. Layer 2 itself is subdivided into two main units (2A and 2B) by a vertical velocity gradient change at 4.5 km depth, with a gradient of 1.7 s−1 above (4.8–5.8 km s−1) and 0.7 s−1 below (5.8–6.5 km s−1). The base of Layer 2, in turn, is defined by a change in gradient at 5.6 km depth. Below this, Layer 3 has a velocity range of 6.5–7.5 km s−1 and a gradient of ∼0.3 s−1. Corresponding S-wave igneous layer velocities and gradients are: Layer 2A, 2.4–3.1 km s−1 and 1.0 s−1; Layer 2B, 3.1–3.7 km s−1 and 0.5 s−1; Layer 3, 3.7–4.0 km s−1 and 0.1 s−1. The 3-D tomographic models, coupled with gravity modelling, indicate that the crust is ∼6 km thick throughout the region, with a generally flat-lying Moho. Although the P- and S-wave models are smooth, their velocities and gradients are remarkably consistent with the main lithological layering subdivisions logged within 504B. Thus, using the change in velocity gradient as a proxy, Layer 2 is interpreted as ∼1.8 km thick and Layer 3 as ∼3.8 km thick, with little vertical variation throughout the 3-D volume. However, the strike of lateral gradient variation is not Costa Rica Rift-parallel, but instead follows the orientation of the present-day adjacent Ecuador Rift, suggesting a reorientation of the Costa Rica Rift spreading ridge axis. Having determined its consistency with lithological ground-truth, the resulting P-wave model is used as the basis of finite difference calculation of wave propagation to find the origin of the 2A Event. Our modelling shows that no distinct interface, or transition, is required to generate this event. Instead, it is caused by averaging of heterogeneous physical properties by the seismic wave as it propagates through Layer 2 and is scattered. Thus, we conclude that the 2A Event originates and propagates exclusively in the lower part of Layer 2A, above the mean depth to the top of the dykes of Layer 2B. From our synthetic data we conclude that using the 2A Event on seismic reflection profiles as a proxy to determine the Layer 2A/2B boundary's depth will result in an overestimate of up to several hundred metres, the degree of which being dependent on the specific velocity chosen for normal moveout correction prior to stacking.
Correction of high-frequency (&gt; 0.3 mHz) air pressure effects in gravity time-series
Authors: Meurers Bruno 
Published: January 2024

SUMMARY
Correcting atmospheric effects in measurements of vertical acceleration is challenging, particularly at frequencies above 0.3 mHz. Corrections based on 4-D atmosphere models should be the most effective, but are limited in temporal and spatial resolutions. So these models are commonly combined with a constant admittance between air pressure and gravity, though the correction can be further improved by allowing a frequency-dependent admittance. This paper studies the effectiveness of such procedures given that air pressure admittance varies with time because of variability in the underlying local atmospheric process, and finds that admittances estimated by cross-spectral analysis gives better results than a constant admittance does. The best results are achieved by combining a 4-D model with admittances estimated from time-series that cover the event of interest.
Early impacts of the Pennsylvania Rural Health Model on potentially avoidable utilization
Authors: Bourne Donald S , Roberts Eric T , Sabik Lindsay M 
Published: January 2024

Abstract
The Pennsylvania Rural Health Model (PARHM) is a novel alternative payment model for rural hospitals that aims to test whether hospital-based global budgets, coupled with delivery transformation plans, improve the quality of health care and health outcomes in rural communities. Eighteen hospitals joined PARHM in 3 cohorts between 2019 and 2021. This study assessed PARHM’s impact on changes in potentially avoidable utilization (PAU)—a measure of admission rates policymakers explicitly targeted for improvement in PARHM. Using a difference-in-differences analysis and all-payer hospital discharge data for Pennsylvania hospitals from 2016 through 2022, we found no significant overall reduction in community-level PAU rates up to 4 years post–PARHM implementation, relative to changes in rural Pennsylvania communities whose hospitals did not join PARHM. However, heterogeneous treatment effects were observed across cohorts that joined PARHM in different years, and between critical access vs prospective payment system hospitals. These findings offer insight into how alternative payment models in rural health care settings may have heterogeneous impacts based on contextual factors and highlight the importance of accounting for these factors in proposed expansions of alternative payment models for rural health systems.
Rapidly developing communications materials during public health emergencies: the Âu Cơ campaign in the USA
Authors: Meekers Dominique , Pham NhuNgoc K , Tran Cam-Thanh , VanLandingham Mark J , Do Mai 
Published: January 2024

Abstract
During public health emergencies, health communication materials to contain the outbreak are needed promptly, which prevents the use of standard approaches for getting feedback from the intended audience. We propose a strategy for rapidly obtaining community feedback on new health communication materials during the public health emergencies. We illustrate this with COVID-19 testing campaign in a Vietnamese–American enclave in the USA. The project included community-based COVID-19 testing and communication activities to increase the awareness of the testing centers and encourage frequent testing. Our strategy involves two main components: (i) use of a research team with an existing trust relationship with the community and that includes researchers from that community and (ii) co-design of communication materials using community-based gatekeepers and a cultural broker. We developed brochures and posters to increase the awareness of the COVID-19 testing services. The cultural broker and community-based partners identified salient message concepts and worked with the researchers to define the objectives and content of the materials, which were then reviewed by the entire team. In lieu of standard pretesting, we relied on feedback on mockups of the materials and subsequent revisions from the community-based gatekeepers and cultural broker. Our strategy strikes a balance between the need to urgently disseminate new materials and the need for community input. One key takeaway is that effective planning for public health emergencies must start long before the crisis occurs.
Dietary Emulsifier Exposure in People With Inflammatory Bowel Disease Compared With Healthy Controls: Is There a Cause for Concern?
Authors: Katsoudas Natasha , Tavakoli Paris , Wu Nan , Shapiro Amanda , Leach Steven T , Williams Astrid-Jane , Paramsothy Ramesh , Ghaly Simon , Connor Susan J , Samocha-Bonet Dorit , Lambert Kelly , Hold Georgina L 
Published: January 2024

Abstract

Background
Emulsifiers are implicated in the pathogenesis of inflammatory bowel disease (IBD). Few studies have examined emulsifier intake in people with existing IBD. We aimed to describe the frequency of exposure to 6 selected emulsifiers in a contemporary cohort of people with IBD and compare intake with healthy controls (HCs).

Methods
Baseline food records from participants in an Australian prospective cohort study examining the microbiome of IBD patients and HCs were analyzed. Exposure to inflammatory emulsifiers polysorbate-80 (P80); carboxymethylcellulose (CMC); carrageenan; xanthan gum (XG); lecithin (soy and sunflower) and mono- and diglycerides of fatty acids (MDGs) were determined by examining ingredient lists. Frequency of emulsifier exposure between groups (IBD vs HC, Crohn’s disease [CD] vs ulcerative colitis [UC], IBD children vs adults, active disease vs remission) was examined after controlling for confounders.

Results
Records from 367 participants were analyzed (n = 176 IBD, of which there were 101 CD, 75 UC, and 191 HC patients). In total, 5022 unique food items were examined, with 18% containing 1 or more emulsifier of interest. Inflammatory bowel disease participants had significantly higher total daily emulsifier exposure compared with HCs (2.7 ± 1.8 vs 2.3 ± 1.6, P = .02). In IBD participants, emulsifiers with the highest daily exposure were MDGs (1.2 ± 0.93), lecithin (0.85 ± 0.93), and XG (0.38 ± 0.42). There were no recorded exposures to P80.

Conclusions
Inflammatory bowel disease participants were exposed to more emulsifiers than HCs. Intake of inflammatory emulsifiers were low or nonexistent, suggesting their presence in the food supply are not as common as frequently stated.
Intralesional Injections of a TNF-α Inhibitor to Treat Orofacial Granulomatosis
Authors: Lee Jasmine , Kurien Lisa , Marciano Tuvia 
Published: January 2024

Lay Summary
We present the first documented case of successful treatment of orofacial granulomatosis by intralesional injections of a tumor necrosis factor α inhibitor to the lip. Our patient had rapid symptomatic improvement after 3 injections, and near resolution within 4 months of anti-tumor necrosis factor α therapy.
Bioclimatic design strategy of vernacular architecture in the south-east of China: a case study in Fujian, China
Authors: Huang Hui , Xie Yan-qiu , Chen Jia-jie , Liang Sen , Chen Zu-jian 
Published: January 2024

Abstract
Vernacular architecture provides valuable insights into bioclimatic design, an integral part of the architectural design process. This study aims to investigate the bioclimatic design strategies used in vernacular architecture in southeastern China, with the goal of inspiring energy-efficient restoration and contemporary architectural design. Initially, the Mahoney Table was used to identify a priori bioclimatic design strategies, serving as a reference for the field survey conducted in three distinct landscape regions. Subsequently, a field survey was conducted to identify and summarize the characteristics of 907 vernacular buildings across 63 settlements, focusing on their bioclimatic potential and categorizing them into five aspects of bioclimatic strategies. The results revealed that bioclimatic design strategies vary in response to local conditions, deviating from the recommendations of the Mahoney Table. This underscores the significance of empirical studies on vernacular bioclimatic design strategies. The findings from this study have practical implications for guiding regional building practices in areas with similar climates and landscapes.
Well-posedness and error estimates for coupled systems of nonlocal conservation laws
Authors: Aggarwal Aekta , Holden Helge , Vaidya Ganesh 
Published: January 2024

Abstract
This article deals with the error estimates for numerical approximations of the entropy solutions of coupled systems of nonlocal hyperbolic conservation laws. The systems can be strongly coupled through the nonlocal coefficient present in the convection term. A fairly general class of fluxes is being considered, where the local part of the flux can be discontinuous at infinitely many points, with possible accumulation points. The aims of the paper are threefold: (1) Establishing existence of entropy solutions with rough local flux for such systems, by deriving a uniform $\operatorname{BV}$ bound on the numerical approximations; (2) Deriving a general Kuznetsov-type lemma (and hence uniqueness) for such systems with both smooth and rough local fluxes; (3) Proving the convergence rate of the finite volume approximations to the entropy solutions of the system as $1/2$ and $1/3$, with homogeneous (in any dimension) and rough local parts (in one dimension), respectively. Numerical experiments are included to illustrate the convergence rates.