bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implications of high-resolution velocity and strain rate observations for modelling of Greenlandic tidewater glaciers
Authors: Fahrner Dominik , González Pablo J. , Mair Douglas W. F. , Lea James M. 
Published: September 2024

Abstract
Synthetic Aperture Radar (SAR) has been used extensively to determine the surface ice flow velocity of tidewater glaciers and investigate changes in seasonal or annual ice dynamics at medium spatial resolution (⩾100 m). However, assessing tidewater glacier behaviour at these resolutions risks missing key details of glacier dynamics, which is particularly important for determination of strain rates that relate to crevasse formation, depth, and ice damage. Here we present surface ice velocity and strain maps with a 16 m posting derived from high-resolution (1 m) PAZ Ciencia spotlight mode SAR imagery for Narsap Sermia, SW Greenland, for October 2019 to February 2021. Results reveal fine details in strain rate, including an area of compression proximal to the terminus, with an upstream shift of strains through time. The velocity evolution of Narsap Sermia shows distinct seasonal changes starting in summer 2020, which are largely modulated by the subglacial drainage system. Comparison of our results with medium-resolution velocity products shows that while these can capture general strain and velocity patterns, our high-resolution data reveals considerably larger ranges of strain values. This is likely to have implications for tuning strain rate dependent calving and ice damage parameterisations within numerical models.
A non-homogeneous alternating renewal process model for interval censoring
Authors: van Lieshout M. N. M. , Markwitz R. L. 
Published: September 2024

Abstract
Previous approaches to modelling interval-censored data have often relied on assumptions of homogeneity in the sense that the censoring mechanism, the underlying distribution of occurrence times, or both, are assumed to be time-invariant. In this work, we introduce a model which allows for non-homogeneous behaviour in both cases. In particular, we outline a censoring mechanism based on a non-homogeneous alternating renewal process in which interval generation is assumed to be time-dependent, and we propose a Markov point process model for the underlying occurrence time distribution. We prove the existence of this process and derive the conditional distribution of the occurrence times given the intervals. We provide a framework within which the process can be accurately modelled, and subsequently compare our model to the homogeneous approach through a number of illustrative examples.
Association between frequency of using ready-made meals or eating out during pregnancy and postpartum depression among community-dwelling pregnant women: a prospective cohort study
Authors: Kobayashi Tohru , Kojima Reiji , Okada Emiko 
Published: September 2024

AbstractThe association between the frequency of eating ready-made meals (RMM) or eating out (EO) during pregnancy and postpartum depression remains unclear. We aimed to explore the association between the frequency of RMM or EO use during pregnancy and the incidence of postpartum depression. This study included 639 community-dwelling pregnant women who were recruited between 2019 and 2022. Data on the frequency of RMM and EO use, as well as sociodemographic, economic and lifestyle factors, were obtained using self-administered questionnaires. Data on dietary intake were obtained using a validated brief self-administered diet history questionnaire. Postpartum depression was assessed using the Japanese version of the Edinburgh Postnatal Depression Scale (EPDS). The incidence of postpartum depression (EPDS score of ≥9) based on the frequency of RMM or EO use was analysed using multiple logistic regression analysis. After adjusting for potential confounders, there was limited evidence suggesting an association between consuming RMM 3 times/week or more and the likelihood of experiencing postpartum depression, with an adjusted OR (aOR) and 95 % CI (95 % CI) of 4·16 and 1·68–10·27 (Pfor trend = 0·017) compared with consuming RMM less than 1 time/week. There was no evidence for an association between consuming EO 3 times/week or more and postpartum depression (aOR: 1·20, 95 % CI: 0·14, 10·04 and Pfor trend = 0·283). Accordingly, the present study presented weak evidence of an association between RMM and postpartum depression. Further studies with large and diverse samples are needed to overcome any potential selection bias.
PARENTAL DUTIES OF NON-DISCRIMINATION AND THE SCOPE OF ANTI-DISCRIMINATION LAW
Authors: Campbell Colin , Emerton Patrick 
Published: September 2024

AbstractParents’ discrimination against their children is lawful. But the family, as an institution in which social goods are allocated, is as significant as the sites in which anti-discrimination law operates. At least prima facie, therefore, parents should be governed by legal prohibitions on discrimination. While state incursion into family life poses a threat to children’s autonomy, so does parental discrimination against children. Anti-discrimination law therefore needs new institutions to promote the values of non-discrimination in a part of society that currently sits outside anti-discrimination law’s reach. We identify existing regimes that may provide a starting point for this work.
‘Lost & Found’ or ‘Requiem for the new Mozambican man’: Musicking transition from a socialist single-party to a capitalist multiparty system (1987–1994)
Authors: Freitas Marco Roque De 
Published: September 2024

AbstractThis article examines the transformations in musical activity in Mozambique between 1987 and 1994, a period marked by the transition from a socialist single-party to a capitalist multiparty system. Drawing on data from articles published in local newspapers and complemented by interviews with key individuals, this study focuses on three pivotal domains of musical activity: radio broadcasting, the phonographic industry and entertainment industries. It aims to clarify the importance of musicking activities in reflecting the cultural, social and economic transformations that occurred in Mozambique, particularly in the capital city Maputo, as well as the decline of the ‘new Mozambican man’ cultural project. It also delves into various topics, including the production shift from vinyl records to cassettes, the invitation of international artists as a symbol of ‘openness’ to capitalist countries and the broader revisions made to broadcasting and phonographic publishing policies.
Study of a global calibration method for a planar parallel robot mechanism considering joint error
Authors: Zhang Qinghua , Yu Huaming , Xie Lingbo , Lu Qinghua , Chen Weilin 
Published: September 2024

AbstractIn order to improve the positioning accuracy of industrial robots, this paper proposes a global calibration method for planar parallel robot considering joint errors, which solves the problem that the existing calibration methods only consider part of the error sources and the calibration accuracy is poor, and improves the calibration efficiency and robot positioning accuracy. Consequently, it improves calibration efficiency and the overall precision of robot positioning. Firstly, the error model of overdetermined equations combined with structural parameters is established, and the global sensitivity of each error source is analyzed. Based on the measurement data of laser tracker, the local error source is identified by the least square method, which improves the local error accuracy by 88.6%. Then, a global error spatial interpolation method based on inverse distance weighting method is proposed, and the global accuracy is improved by 59.16%. Finally, the radial basis function neural network error prediction model with strong nonlinear approximation function is designed for global calibration, and the accuracy is improved by 63.05%. Experimental results verify the effectiveness of the proposed method. This study not only provides technical support for the engineering application of this experimental platform but also provides theoretical guidance for the improvement of the accuracy of related robot platforms.
Blessed John Columbini
Authors: Felicity  
Published: September 2024

Very few women can claim to have converted their husbands by being late
with dinner but Biagia Ceretani, the wife of John Columbini, is one of them.
John Columbini was born in Siena about 1304, and at the time of his marriage
was a successful merchant. He was, it seems, intent only on increasing his
worldly goods, ambitious, close-fisted and choleric. His biographers say
that he gave way to bad temper without scruple though there is no evidence
that he did anything more violent than ‘turn the air blue'.
One day he came home after a busy morning, tired and hungry, to an
unlaid table and a meal half-prepared. Very naturally he ‘blew his top’ as
the saying goes. Biagia, hoping to distract him, thrust a volume of saints’
lives upon him and more naturally still, her husband flung it on the
floor.
A Vow Of Chastity
Authors: Woman A Lay 
Published: September 2024

Tonight I am so tired that I don't know whether I'll be able to write
anything about the vow of chastity at all. However, if His Majesty wills it,
something will be written. The joy and peace of these past days since May
4th have been wonderful. I wake up every morning with happiness at the
thought of it—of this precious promise between Jesus and me. And then I go
to Mass and I am tired and almost fall asleep, and I am sorry that he has a
bride who can pay so little attention to him. But he has willed it to be so.
He has chosen me… .
To write about this vow is difficult because my appreciation of it is
limited; it is difficult, too, because I cannot write of it without writing
about everything else—about my whole relationship with God, about the marvel
of his love for me. I cannot think of chastity without thinking of
charity.
Systematic prioritization of functional variants and effector genes underlying colorectal cancer risk
Authors: Law Philip J. , Studd James , Smith James , Vijayakrishnan Jayaram , Harris Bradley T. , Mandelia Maria , Mills Charlie , Dunlop Malcolm G. , Houlston Richard S. 
Published: September 2024

AbstractGenome-wide association studies of colorectal cancer (CRC) have identified 170 autosomal risk loci. However, for most of these, the functional variants and their target genes are unknown. Here, we perform statistical fine-mapping incorporating tissue-specific epigenetic annotations and massively parallel reporter assays to systematically prioritize functional variants for each CRC risk locus. We identify plausible causal variants for the 170 risk loci, with a single variant for 40. We link these variants to 208 target genes by analyzing colon-specific quantitative trait loci and implementing the activity-by-contact model, which integrates epigenomic features and Micro-C data, to predict enhancer–gene connections. By deciphering CRC risk loci, we identify direct links between risk variants and target genes, providing further insight into the molecular basis of CRC susceptibility and highlighting potential pharmaceutical targets for prevention and treatment.
The up-regulation of SYNCRIP promotes the proliferation and tumorigenesis via DNMT3A/p16 in colorectal cancer
Authors: Li Chenglong , Lu Tailiang , Chen Hongxi , Yu Zhige , Chen Chaowu 
Published: September 2024

AbstractHeterogeneous nuclear ribonucleoproteins (hnRNPs), a group of proteins that control gene expression, have been implicated in many post-transcriptional processes. SYNCRIP (also known as hnRNP Q), a subtype of hnRNPs, has been reported to be involved in mRNA splicing and translation. In addition, the deregulation of SYNCRIP was found in colorectal cancer (CRC). However, the role of SYNCRIP in regulating CRC growth remains largely unknown. Here, we found that SYNCRIP was highly expressed in colorectal cancer by analyzing TCGA and GEPIA database. Furthermore, we confirmed the expression of SYNCRIP expression in CRC tumor and CRC cell lines. Functionally, SYNCRIP depletion using shRNA in CRC cell lines (SW480 and HCT 116) resulted in increased caspase3/7 activity and decreased cell proliferation, as well as migration. Meanwhile, overexpression of SYNCRIP showed opposite results. Mechanistically, SYNCRIP regulated the expression of DNA methyltransferases (DNMT) 3A, but not DNMT1 or DNMT3B, which affected the expression of tumor suppressor, p16. More importantly, our in vivo experiments showed that SYNCRIP depletion significantly inhibited colorectal tumor growth. Taken all together, our results suggest SYNCRIP as a potent therapeutic target in colorectal cancer.
Negative online news articles are shared more to social media
Authors: Watson Joe , van der Linden Sander , Watson Michael , Stillwell David 
Published: September 2024

AbstractPrior research demonstrates that news-related social media posts using negative language are re-posted more, rewarding users who produce negative content. We investigate whether negative material from external news sites is also introduced to social media through more user posts, offering comparable incentives for journalists to adopt a negative tone. Data from four US and UK news sites (95,282 articles) and two social media platforms (579,182,075 posts on Facebook and Twitter, now X) show social media users are 1.91 times more likely to share links to negative news articles. The impact of negativity varies by news site and social media platform and, for political articles, is moderated by topic focus, with users showing a greater inclination to share negative articles referring to opposing political groups. Additionally, negativity amplifies news dissemination on social media to a greater extent when accounting for the re-sharing of user posts containing article links. These findings suggest a higher prevalence of negatively toned articles on Facebook and Twitter compared to online news sites. Further, should journalists respond to the incentives created by the heightened sharing of negative articles to social media platforms, this could even increase negative news exposure for those who do not use social media.
Whole-sporozoite malaria vaccines: where we are, where we are going
Authors: Moita Diana , Prudêncio Miguel 
Published: September 2024

AbstractThe malaria vaccination landscape has seen significant advancements with the recent endorsement of RTS,S/AS01 and R21/Matrix-M vaccines, which target the pre-erythrocytic stages of Plasmodium falciparum (Pf) infection. However, several challenges remain to be addressed, including the incomplete protection afforded by these vaccines, their dependence on a single Pf antigen, and the fact that they were not designed to protect against P. vivax (Pv) malaria. Injectable formulations of whole-sporozoite (WSpz) malaria vaccines offer a promising alternative to existing subunit vaccines, with recent developments including genetically engineered parasites and optimized administration regimens. Clinical evaluations demonstrate varying efficacy, influenced by factors, such as immune status, prior exposure to malaria, and age. Despite significant progress, a few hurdles persist in vaccine production, deployment, and efficacy in malaria-endemic regions, particularly in children. Concurrently, transgenic parasites expressing Pv antigens emerge as potential solutions for PvWSpz vaccine development. Ongoing clinical studies and advancements in vaccine technology, including the recently described PfSPZ-LARC2 candidate, signify a hopeful future for WSpz malaria vaccines, which hold great promise in the global fight against malaria.
Autoencoder imputation of missing heterogeneous data for Alzheimer's disease classification
Authors: Haridas Namitha Thalekkara , Sanchez‐Bornot Jose M. , McClean Paula L. , Wong‐Lin KongFatt ,   Alzheimer's Disease Neuroimaging Initiative (ADNI)
Published: September 2024

AbstractMissing Alzheimer's disease (AD) data is prevalent and poses significant challenges for AD diagnosis. Previous studies have explored various data imputation approaches on AD data, but the systematic evaluation of deep learning algorithms for imputing heterogeneous and comprehensive AD data is limited. This study investigates the efficacy of denoising autoencoder‐based imputation of missing key features of heterogeneous data that comprised tau‐PET, MRI, cognitive and functional assessments, genotype, sociodemographic, and medical history. The authors focused on extreme (≥40%) missing at random of key features which depend on AD progression; identified as the history of a mother having AD, APoE ε4 alleles, and clinical dementia rating. Along with features selected using traditional feature selection methods, latent features extracted from the denoising autoencoder are incorporated for subsequent classification. Using random forest classification with 10‐fold cross‐validation, robust AD predictive performance of imputed datasets (accuracy: 79%–85%; precision: 71%–85%) across missingness levels, and high recall values with 40% missingness are found. Further, the feature‐selected dataset using feature selection methods, including autoencoder, demonstrated higher classification score than that of the original complete dataset. These results highlight the effectiveness and robustness of autoencoder in imputing crucial information for reliable AD prediction in AI‐based clinical decision support systems.
A multi‐objective optimization model for RSU deployment in intelligent expressways based on traffic adaptability
Authors: Deng Xiaorong , Liang Yanping , Luo Dongyu , Wang Jiangfeng , Yan Xuedong , Duan Jinxiao 
Published: September 2024

AbstractThe intelligent expressway exemplifies a prominent application of intelligent transportation systems. Roadside units (RSUs), strategically deployed alongside roadways, serve as pivotal infrastructure in facilitating interactions within intelligent expressways. A well‐planned RSU deployment strategy is crucial for enhancing service quality, it necessitates balancing performance improvements with significant financial costs due to the limited transmission range and high deployment expenses of RSUs. To tackle these challenges, an adaptive approach for RSU deployment is proposed, which takes into account economic feasibility, service requirements, and dynamic traffic demands. A traffic adaptability‐based RSU deployment (TARD) model, which integrates factors such as deployment cost, the effectiveness of information coverage, road network topology, and traffic flow characteristics have been devised. The TARD aims to minimize deployment expenses while maximizing the benefits of information coverage and alignment with road traffic demands. The Non‐dominated Sorting Genetic Algorithm II (NSGA‐II) is employed to solve this optimization model. To validate its efficacy, simulations are conducted on the G2 expressway in Shandong Province, China, demonstrating the superior performance of the TARD compared to three other deployment strategies. Ablation experiments further underscore the critical role of tunnel deployments and comprehensive coverage along long sections in bolstering network connectivity and elevating service quality.
Photoevaporation of protoplanetary discs with PLUTO+PRIZMO
Authors: Sellek A. D. , Grassi T. , Picogna G. , Rab Ch. , Clarke C. J. , Ercolano B. 
Published: September 2024

Context. Photoevaporation is an important process for protoplanetary disc dispersal, but there has so far been a lack of consensus from simulations over the mass-loss rates and the most important part of the high-energy spectrum involved in driving the wind.
Aims. We aim to isolate the origins of these discrepancies through carefully benchmarked hydrodynamic simulations of X-ray photoevaporation with time-dependent thermochemistry calculated on the fly.
Methods. We conducted hydrodynamic simulations with PLUTO where the thermochemistry is calculated using PRIZMO. We explored the contribution of certain key microphysical processes and the impact of employing different spectra previously used in literature studies.
Results. We find that additional cooling results from the excitation of O by neutral H, which leads to dramatically reduced mass-loss across the disc compared to previous X-ray photoevaporation models, with an integrated rate of ~10−9 M⊙ yr−1. Such rates would allow for longer-lived discs than previously expected from population synthesis. An alternative spectrum with less soft X-ray produces mass-loss rates around a factor of two to three times lower. The chemistry is significantly out of equilibrium, with the survival of H2 into the wind being aided by advection. This leads to H2 becoming the dominant coolant at 10s au, thus stabilising a larger radial temperature gradient across the wind as well as providing a possible wind tracer.
A machine learning framework to generate star cluster realisations
Authors: Prodan George P. , Pasquato Mario , Iorio Giuliano , Ballone Alessandro , Torniamenti Stefano , Di Carlo Ugo Niccolò , Mapelli Michela 
Published: September 2024

Context. Computational astronomy has reached the stage where running a gravitational N-body simulation of a stellar system, such as a Milky Way star cluster, is computationally feasible, but a major limiting factor that remains is the ability to set up physically realistic initial conditions.
Aims. We aim to obtain realistic initial conditions for N-body simulations by taking advantage of machine learning, with emphasis on reproducing small-scale interstellar distance distributions.
Methods. The computational bottleneck for obtaining such distance distributions is the hydrodynamics of star formation, which ultimately determine the features of the stars, including positions, velocities, and masses. To mitigate this issue, we introduce a new method for sampling physically realistic initial conditions from a limited set of simulations using Gaussian processes.
Results. We evaluated the resulting sets of initial conditions based on whether they meet tests for physical realism. We find that direct sampling based on the learned distribution of the star features fails to reproduce binary systems. Consequently, we show that physics-informed sampling algorithms solve this issue, as they are capable of generating realisations closer to reality.