bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robust bounds on ALP dark matter from dwarf spheroidal galaxies in the optical MUSE-Faint survey
Authors: Todarello Elisa , Regis Marco , Reynoso-Cordova Javier , Taoso Marco , Vaz Daniel , Brinchmann Jarle , Steinmetz Matthias , Zoutendijk Sebastiaan L. 
Published: May 2024

Abstract
Nearby dwarf spheroidal galaxies are ideal targets in the search for indirect dark matter (DM) signals.
In this work, we analyze MUSE spectroscopic observations of a sample of five galaxies, composed of both classical and ultra-faint dwarf spheroidals. The goal is to search for radiative decays of axion-like particles (ALPs) in the mass range of 2.7–5.3 eV. After taking into account the uncertainties associated with the DM spatial distribution in the galaxies, we derive robust bounds on the effective ALP-two-photon coupling.
They lie well below the QCD axion band and are significantly more constraining than limits from other probes, in the relevant mass range.
We also test the possible presence of a positive signal, concluding that none of the wavelength channels selected for this analysis, i.e., not affected by large background contamination, is exhibiting such evidence.
ADHD classification with cross-dataset feature selection for biomarker consistency detection
Authors: Meng Xiaojing , Chen Ying , Gao Yuan , Geng Deqin , Tang Yibin 
Published: May 2024

Abstract

Objective. Attention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children. While numerous intelligent methods are applied for its subjective diagnosis, they seldom consider the consistency problem of ADHD biomarkers. In practice, these data-driven approaches lead to varying learned features for ADHD classification across diverse ADHD datasets. This phenomenon significantly undermines the reliability of identified biomarkers and hampers the interpretability of these methods. Approach. In this study, we propose a cross-dataset feature selection (FS) module using a grouped SVM-based recursive feature elimination approach (G-SVM-RFE) to enhance biomarker consistency across multiple datasets. Additionally, we employ connectome gradient data for ADHD classification. In details, we introduce the G-SVM-RFE method to effectively concentrate gradient components within a few brain regions, thereby increasing the likelihood of identifying these regions as ADHD biomarkers. The cross-dataset FS module is integrated into an existing binary hypothesis testing (BHT) framework. This module utilizes external datasets to identify global regions that yield stable biomarkers. Meanwhile, given a dataset which waits for implementing the classification task as local dataset, we learn its own specific regions to further improve the performance of accuracy on this dataset. Main results. By employing this module, our experiments achieve an average accuracy of 96.7% on diverse datasets. Importantly, the discriminative gradient components primarily originate from the global regions, providing evidence for the significance of these regions. We further identify regions with the high appearance frequencies as biomarkers, where all the used global regions and one local region are recognized. Significance. These biomarkers align with existing research on impaired brain regions in children with ADHD. Thus, our method demonstrates its validity by providing enhanced biological explanations derived from ADHD mechanisms.
Control of elongated plasmas in superconductive tokamaks in the absence of in-vessel coils
Authors: De Tommasi G. , di Grazia L.E. , Dubbioso S. , Fiorenza F. , Frattolillo D. , Inoue S. , Mattei M. , Pironti A. , Urano H. 
Published: May 2024

Abstract
The roadmap for the commissioning and first operations of superconductive tokamaks envisages the possibility of running discharges with fairly elongated plasmas before the complete installation of the in-vessel components, including vertical stabilization coils, or any other specific sets of coils to be used for the magnetic control of fast transients. In the absence of dedicated actuators, the magnetic control system shall perform the essential fast control actions by using the out-vessel superconductive coils, if needed. These are typically less efficient in reacting to fast transients, due to the shielding effect of the vessel and imply a coupling with other control tasks relying on the same actuators, such as plasma current, position, and shape control. Hence, effective actuator-sharing strategies must be put in place. This paper presents an architecture and a possible control strategy that is able to cope with vertically unstable elongated plasmas subject to fast varying disturbances, in the absence of dedicated in-vessel coils. The architecture exploits a model-based actuator-sharing approach to effectively accomplish the main magnetic control objectives while minimizing the cross-couplings among the various tasks. The effectiveness of the approach is demonstrated by means of nonlinear simulations of realistic JT-60SA scenarios. In particular, an isoflux plasma shape controller is integrated with plasma current control and vertical stabilization. The proposed control approach proves to control vertical displacement events and plasma deformations due to fast variations of poloidal beta with satisfactory performance.
Optimization of parameters and formulation of numerical model employing GRA–PCA and RSM approach for friction stir welded Ti–6Al–4V alloy joints
Authors: D Srinivasan , P Sevvel , Babu S D Dhanesh , Roy Vasanthe 
Published: May 2024

Abstract
In this work, an endeavour was made to determine the impact of the tool’s shoulder diameter, pin profile, rotational and traverse speeds on the mechanical properties of the friction stir welded namely Ti–6Al–4 V alloy joints. A total of 21 experiments were carried out based on the central composite design (CCD) concept of response surface methodology (RSM). A quadratic regression based numerical model was formulated to ascertain the relationship amidst the parameters of FSW process and the mechanical properties of the fabricated Ti alloy joints. Analysis of variance (ANOVA) was employed to confirm the importance of parameters and their interactive impacts. Optimized process parameter combinations were ascertained by grey relation based analysis (GRA) was coupled together with principal component analysis (PCA), a hybrid based approach. Single score of GRG based response was determined and GRG scores were ranked for all experiments. 1st rank was attained by the experiment no. 20 possessing a GRG score of 2.9989. Optimized values of 25 mm shoulder diameter having a taper cylindrical pin geometry employed at a tool traverse speed of 40 mm min−1, rotational speed of 1400 rpm resulted in the generation of flaw free Ti alloy joint possessing a largest tensile strength of 809.8 MPa, yield strength of 778.7 MPa and percentage of elongation of 6.9%. SEM based fractography of Ti alloy joint specimens announced that taper cylindrical pin geometry along with 25 m shoulder diameter of employed tool have an inevitable part in generating frictional heat in ideal volumes and a perfect stirring action during FSW process.
Data-driven simulations to assess the impact of study imperfections in time-to-event analyses
Authors: Abrahamowicz Michal , Beauchamp Marie-Eve , Boulesteix Anne-Laure , Morris Tim P , Sauerbrei Willi , Kaufman Jay S , STRATOS Simulation Panel on behalf of the 
Published: May 2024

Abstract
Quantitative bias analysis (QBA) permits assessment of the expected impact of various imperfections of the available data on the results and conclusions of a particular real-world study. This article extends QBA methodology to multivariable time-to-event analyses with right-censored endpoints, possibly including time-varying exposures or covariates. The proposed approach employs data-driven simulations, which preserve important features of the data at hand while offering flexibility in controlling the parameters and assumptions that may affect the results. First, the steps required to perform data-driven simulations are described, and then two examples of real-world time-to-event analyses illustrate their implementation and the insights they may offer. The first example focuses on the omission of an important time-invariant predictor of the outcome in a prognostic study of cancer mortality, and permits separating the expected impact of confounding bias from noncollapsibility. The second example assesses how imprecise timing of an interval-censored event—ascertained only at sparse times of clinic visits—affects its estimated association with a time-varying drug exposure. The simulation results also provide a basis for comparing the performance of two alternative strategies for imputing the unknown event times in this setting. The R scripts that permit the reproduction of our examples are provided.
The improvement of inflammatory infiltration and pregnancy outcome in mice with recurrent spontaneous abortion by human amniotic mesenchymal stem cells
Authors: Xiao Yi , Zeng Fanyu , Sun Jingli 
Published: May 2024

Abstract
Recurrent spontaneous abortion is thought to be mostly triggered by immune-related causes. Mesenchymal stem cells, which exhibit the traits of multi-directional differentiation capacity and low immunogenicity, have recently been recommended as a viable treatment for spontaneous abortion-prone mice to increase the success of pregnancy. Amniotic membrane tissue is a byproduct of pregnancy and delivery that has a wide range of potential uses due to its easy access to raw materials and little ethical constraints. To construct an abortion-prone mouse model for this investigation, CBA/J female mice were coupled with male DBA/2 mice, while CBA/J female mice were paired with male BALB/c mice as a control. The identical volume of human amniotic mesenchymal stem cells or phosphate buffer was injected intraperitoneally on the 4.5th day of pregnancy. CBA/J female mice were sacrificed by cervical dislocation on the 13.5th day of pregnancy, the embryo absorption rate was calculated, and the uterus, decidua tissues and placenta were gathered for examination. Through detection, it was discovered that human amniotic mesenchymal stem cells significantly increased the expression of interleukin 10 and transforming growth factor beta, while they significantly decreased the expression of interleukin 1 beta and interleukin 6, improved vascular formation and angiogenesis, and minimized the embryo absorption rate and inflammatory cell infiltration in the recurrent spontaneous abortion + human amniotic mesenchymal stem cells group. In any case, human amniotic mesenchymal stem cells regulate inflammatory factors and cell balance at the maternal–fetal interface, which result in a reduction in the rate of embryo absorption and inflammatory infiltration and provide an innovative perspective to the clinical therapy of recurrent spontaneous abortion.
Temperature’s Toll on Decision-Making
Authors: Escobar Carias Michelle , Johnston David W , Knott Rachel , Sweeney Rohan 
Published: May 2024

Abstract
Does temperature affect decision-making abilities and rationality? Using Indonesian data, we estimate how risky choices, impatience and rational choice violations vary with exposure to temperature. We show that hot weather temporarily increases rational choice violations and impatience, but does not affect risk-related decisions. These effects are primarily driven by nighttime rather than daytime temperatures. We provide suggestive evidence that the mechanism behind these effects is decreased sleep quality, affecting cognition the following day, particularly math skills. These skills are critical for rational and utility-maximising decision-making. Effects are largest for economically disadvantaged households and in areas with low rates of air-conditioning.
Digest: Repeated body size evolution in island bats
Authors: McCulloch Graham A 
Published: May 2024

Abstract
Island ecosystems represent outstanding natural laboratories for studying the interplay between ecology and evolution. Lavery et al., (2024) use genomic approaches to identify a remarkable example of repeated evolution in Hipposideros bats across the Solomon Islands archipelago. They show that larger-bodied bats have independently evolved on different islands, highlighting an exciting new system for exploring the ecological and evolutionary drivers of repeated evolution in mammals.
Reweighting UK Biobank corrects for pervasive selection bias due to volunteering
Authors: van Alten Sjoerd , Domingue Benjamin W , Faul Jessica , Galama Titus , Marees Andries T 
Published: May 2024

Abstract

Background
Biobanks typically rely on volunteer-based sampling. This results in large samples (power) at the cost of representativeness (bias). The problem of volunteer bias is debated. Here, we (i) show that volunteering biases associations in UK Biobank (UKB) and (ii) estimate inverse probability (IP) weights that correct for volunteer bias in UKB.

Methods
Drawing on UK Census data, we constructed a subsample representative of UKB’s target population, which consists of all individuals invited to participate. Based on demographic variables shared between the UK Census and UKB, we estimated IP weights (IPWs) for each UKB participant. We compared 21 weighted and unweighted bivariate associations between these demographic variables to assess volunteer bias.

Results
Volunteer bias in all associations, as naively estimated in UKB, was substantial—in some cases so severe that unweighted estimates had the opposite sign of the association in the target population. For example, older individuals in UKB reported being in better health, in contrast to evidence from the UK Census. Using IPWs in weighted regressions reduced 87% of volunteer bias on average. Volunteer-based sampling reduced the effective sample size of UKB substantially, to 32% of its original size.

Conclusions
Estimates from large-scale biobanks may be misleading due to volunteer bias. We recommend IP weighting to correct for such bias. To aid in the construction of the next generation of biobanks, we provide suggestions on how to best ensure representativeness in a volunteer-based design. For UKB, IPWs have been made available.
A linearly implicit finite element full-discretization scheme for SPDEs with nonglobally Lipschitz coefficients
Authors: Wang Mengchao , Wang Xiaojie 
Published: May 2024

Abstract
The present article deals with strong approximations of additive noise driven stochastic partial differential equations (SPDEs) with nonglobally Lipschitz nonlinearity in a bounded domain $ \mathcal{D} \in{\mathbb{R}}^{d}$, $ d \leq 3$. As the first contribution, we establish the well-posedness and regularity of the considered SPDEs in space dimension $d \le 3$, under more relaxed assumptions on the stochastic convolution. This improves relevant results in the literature and covers both the space-time white noise ($d=1$) and the trace-class noises ($\text{Tr} (Q) &lt; \infty $) in multiple dimensions $d=2,3$. Such an improvement is achieved based on a key perturbation estimate for a perturbed PDE, with the aid of which we prove the convergence and uniform regularity of a spectral approximation of the SPDEs and thus get the improved regularity results. The second contribution of the paper is to propose and analyze a spatio-temporal discretization of the SPDEs, by incorporating a standard finite element method in space and a linearly implicit nonlinearity-tamed Euler method for the temporal discretization. The proposed time-stepping scheme is linearly implicit and does not suffer from solving nonlinear algebra equations as the backward Euler scheme does. Based on the improved regularity results, we recover the expected strong convergence rates of the fully discrete scheme and reveal how the convergence rates rely on the regularity of the noise process. In particular, a classical convergence rate of order $O(h^{2} +\tau )$ can be obtained even in high dimension $d=3$, as the driven noise is of trace class and satisfies certain regularity assumptions. The optimal error estimates turn out to be challenging and face some essential difficulties when the tamed time-stepping scheme meets the finite element spatial discretization, particularly in the context of low regularity and multiple dimensions $d \le 3$. Some highly nontrivial arguments are introduced to overcome the difficulties. Finally, numerical examples corroborate the claimed strong orders of convergence.
Working Time Remedies Beyond Brexit: Chief Constable of the Police Service of Northern Ireland and Another v Agnew and Others
Authors: Rodgers Lisa , Golynker Oxana 
Published: May 2024

Abstract
On 4 October 2023, the ‘long-anticipated’ judgment in PCC v Agnew was handed down by the Supreme Court. This case concerned claims for holiday pay made by police officers and other civilian staff employed by the Police Service of Northern Ireland (PSNI). The Supreme Court had to decide two main issues. The first was whether police officers could take advantage of the more generous remedy provisions in respect of holiday pay claims in the Employment Rights Order 1996 (ERO) (which largely corresponds to the UK Employment Rights Act 1996) as opposed to the Working Time Regulations. The second issue was the correct interpretation of the ERO provisions. As well as the important practical implications of the case, there are also interesting jurisprudential issues that arise. The case deals with the interpretation of European Union (EU) derived rights in the labour context. This is a sensitive area, given that access to EU interpretive mechanisms usually equates to a more progressive reading of rights, and this fans the flame of UK government scepticism to both the EU and working time rights. This article discusses the particular approach to statutory interpretation taken by the Supreme Court and the implications of this approach for the progressive interpretation of EU-derived employment rights going forward.
OP v Commune d’Ans: Another Step in the Wrong Direction for Headscarf-Wearing Women
Authors: Howard Erica 
Published: May 2024

Abstract
This article analyses and criticises the latest Court of Justice of the European Union (CJEU) case concerning the wearing of Muslim headscarves at work. OP was refused permission to wear a Muslim headscarf at work because her employer, a public authority, had a policy of exclusive neutrality, prohibiting employees from wearing any form of religious clothing or symbols. The CJEU judgment limits the employment opportunities of Muslim women who want to wear headscarves for religious reasons and allows member states and infra-state bodies a margin of discretion to decide whether to ban religious clothing and symbols for all employees, only for employees who come into contact with service users or not to ban such items at all; and, it ignores any possibility of the presence of gender, race or multiple discrimination. Prohibitions on religious clothing and symbols affect especially Muslim women, who are often from a non-European background and thus could amount to gender discrimination, race discrimination and to discrimination on a combination of religion or belief, gender and racial or ethnic origin.
From the Recognition of ‘Psychiatric Disorder Caused by Asbestos Exposure’ to the Mobilisation of Dignity in Labour Law: A Comparison of France and Sweden
Authors: Andersson Peter , Lerouge Loïc 
Published: May 2024

Abstract
In two rulings on 8 February 2023, the French Court of Cassation invoked the notion of ‘dignity’ in labour law to support claims for ‘damage due to anxiety’ (‘préjudice d’anxiété’). The concept of ‘damage due to anxiety’, which might in English be translated more functionally as ‘psychiatric disorder caused by asbestos exposure’, is based on loss arising from the fear of developing a future disease due to occupational exposure to a toxic and hazardous substance, such as asbestos. Based on a reading of these two cases, the aim of this article is to analyse the approach developed in the French legal system, and to discuss it from the standpoint of Swedish law. The concept of ‘psychiatric disorder caused by asbestos exposure’ is not currently recognised in Swedish law. However, the idea that physical work environment factors can cause psychological injury is not entirely unfamiliar. It touches upon the ideas of a holistic approach to the work environment and a broad and inclusive concept of health and illness, which are important foundations for Swedish work environment law. By studying this specific occupational health and safety issue it is possible to illuminate not only how this topical and important issue is regulated in France and Sweden, but also on a broader level how these two legal systems—the French one based on the individual responsibility of the employer and the Swedish one on collective bargaining—are functioning when it comes to systems of prevention of and compensation for ill health.
Temporal trends in antibiotic prescribing and serious and nonserious infections in children presenting to general practice: a registry-based longitudinal cohort study of 162 507 individuals
Authors: Burvenich Ruben , De Boodt Sien , Lowie Lien , Janssens Arne , Beerten Simon Gabriël , Vaes Bert , Toelen Jaan , Verbakel Jan Yvan 
Published: May 2024

AbstractBackgroundIt is crucial to understand the trends in paediatric antibiotic prescribing and serious and nonserious infections to improve antibiotic prescribing practices for children in ambulatory care.ObjectivesAssessing trends in paediatric antibiotic prescribing and infection incidence in general practice from 2002 to 2022.MethodsIn this retrospective cohort study using INTEGO network data from 162 507 patients in Flanders (Belgium), we calculated antibiotic prescribing rates and proportions alongside incidence rates of serious and nonserious infections, stratified by age (0–1, 2–6, 7–12 years) and municipality. We performed autoregressive moving average time-series analyses and seasonality analyses.ResultsFrom 2002 to 2022, antibiotic prescribing rate decreased significantly: 584/1000 person-years (PY) (95% CI 571–597) to 484/1000PY (95% CI 478–491); so did antibiotic overall prescribing proportion: 46.3% (95% CI 45.1–47.6) to 23.3% (95% CI 22.9–23.7) (59.3% amoxicillin and 17.8% broad spectrum). Prescribing proportions dropped significantly for nonserious (45.6% to 20.9%) and increased for serious infections (64.1% to 69.8%). Proportions significantly dropped for acute suppurative otitis media (74.7% to 64.1%), upper respiratory tract infections (44.9% to 16.6%), bronchitis/bronchiolitis (73.6% to 44.1%) and acute tonsillopharyngitis (59.5% to 21.7%), while significantly increasing for pneumonia (65.2% to 80.2%). Nonserious and serious infection incidence rates increased from 785/1000PY and 34.2/1000PY to 1223/1000PY and 64.1/1000PY, respectively. Blood and CRP testing proportions increased significantly.ConclusionsAntibiotic prescribing in general practice for children declined from 2002 to 2022. Further targeted antibiotic stewardship initiatives are needed to reduce the use of broad-spectrum antibiotics and antibiotic prescribing for conditions such as otitis media and bronchitis/bronchiolitis.