bluuebunny/crossref_metadata_2025_split huggingface dataset:
Has the fall of Roe changed contraceptive access and use? New research from four US states offers critical insights
Authors: Kavanaugh Megan L , Friedrich-Karnik Amy 
Published: February 2024

Abstract
The overturning of Roe v. Wade in the 2022 Dobbs v. Jackson Women's HealthOrganization decision has had vast impacts on abortion access across the United States, but less is known about the wider impacts on people's contraceptive access. We draw on cross-sectional survey data representative of reproductive-aged women in Arizona, Iowa, New Jersey, and Wisconsin at two time points—one prior to and one following the Dobbs decision. We examined changes between these two time points in key sexual and reproductive health metrics and, at the post-Dobbs time point, differences in these metrics across age, sexual and gender minority status, nativity, and income status. Between these two time points, we found statistically significant evidence that sexual activity declined, barriers to accessing contraception increased, reports of receiving high-quality contraceptive care decreased, and condom use increased. As continued fallouts of the Dobbs decision on access to abortion occur, this research makes clear that access to broader contraceptive care is worsening. Policies that promote meaningful access to all forms of sexual and reproductive health care must be advanced to support all individuals' right to reproductive autonomy while mitigating inequity and inequality.
Historical Violence and Public Attitudes towards Justice: Evidence from the United States
Authors: Scott Jamil S , Solomon Daniel , Zvobgo Kelebogile 
Published: February 2024

ABSTRACT
This article brings transitional justice scholarship to bear on the case of racial violence in the United States. We investigate how knowledge of racial terror lynchings shapes Black Americans’ support for symbolic and material transitional justice measures. We administer a survey with an embedded experiment to Black residents in Maryland, a US transitional justice pioneer. We provide select respondents with information about historical lynching violence and find that they are more likely to support symbolic transitional justice (e.g., apologies and memorial markers) than individuals presented with information on contemporary police killings. Regarding material transitional justice (e.g., monetary reparations and community projects), we find no significant differences between groups. Linked fate excepted, we do not find that key aspects of Black identity and the Black American experience (i.e., historical knowledge, police contact, church involvement and Black nationalist beliefs) moderate transitional justice attitudes. Our work indicates the promise and limits of information campaigns to mobilize support for transitional justice.
Performance output regulation of coupled heat equations with recycle
Authors: Yu Xiu-Fang , Wang Jun-Min , Wu Xiao-Hui 
Published: February 2024

Abstract
In this article, we study the output regulation of two coupled heat equations with recycle, where the disturbances are distributed in all channels, the control is implemented at the left boundary $x=0$ and the point temperature at $x=2$ is the only noncollocated measurement. The output control is divided into two parts: one is to stabilize the unstable heat system by the noncollocated static feedback, and the other is to achieve output regulation by solving the regulator equation and estimating the disturbances, where an observer is constructed to estimate the state of heat system and exosystem synchronously. The closed-loop system is proved to be well-posed and uniformly bounded using the Riesz basis approach, and the integral output tracks successfully the reference signal exponentially. The numerical simulations are carried out to demonstrate the proposed controller is effective and the tracking error converges to zero.
Evaluation of multiple displacement amplification for metagenomic analysis of low biomass samples
Authors: Ospino Melody Cabrera , Engel Katja , Ruiz-Navas Santiago , Binns W Jeffrey , Doxey Andrew C , Neufeld Josh D 
Published: February 2024

Abstract
Combining multiple displacement amplification (MDA) with metagenomics enables the analysis of samples with extremely low DNA concentrations, making them suitable for high-throughput sequencing. Although amplification bias and nonspecific amplification have been reported from MDA-amplified samples, the impact of MDA on metagenomic datasets is not well understood. We compared three MDA methods (i.e. bulk MDA, emulsion MDA, and primase MDA) for metagenomic analysis of two DNA template concentrations (approx. 1 and 100 pg) derived from a microbial community standard “mock community” and two low biomass environmental samples (i.e. borehole fluid and groundwater). We assessed the impact of MDA on metagenome-based community composition, assembly quality, functional profiles, and binning. We found amplification bias against high GC content genomes but relatively low nonspecific amplification such as chimeras, artifacts, or contamination for all MDA methods. We observed MDA-associated representational bias for microbial community profiles, especially for low-input DNA and with the primase MDA method. Nevertheless, similar taxa were represented in MDA-amplified libraries to those of unamplified samples. The MDA libraries were highly fragmented, but similar functional profiles to the unamplified libraries were obtained for bulk MDA and emulsion MDA at higher DNA input and across these MDA libraries for the groundwater sample. Medium to low-quality bins were possible for the high input bulk MDA metagenomes for the most simple microbial communities, borehole fluid, and mock community. Although MDA-based amplification should be avoided, it can still reveal meaningful taxonomic and functional information from samples with extremely low DNA concentration where direct metagenomics is otherwise impossible.
Effect of Foreign Direct Investments on Industrialisation: The Case of China in Africa
Authors: Chen Ding , Isah Aliyu Buhari , Gummi Umar Muhammad 
Published: February 2024

Abstract
China's engagement in Africa's economic domain has sparked disagreement among researchers and the mainstream media on whether the engagement benefits Africa as a host. There are also ongoing concerns that the new China-Africa relationship is only benefiting China at the expense of Africa. In this paper, we examine the effect of China's FDI on industrialisation in Africa based on the instrumental variables Generalized Methods of Moment (IV-GMM) model, using a sample of 36 African countries and data spanning from 2003 to 2020. We find that China's FDI slightly promotes industrialisation in Africa. In isolation, the effect of China's FDI on industrialisation is larger in high-recipient countries of China's FDI than in low-recipient countries due to disparity in the absorptive capacities of the countries. However, we find that countries' characteristics such as domestic investment, financial development, infrastructure, human capital and institutional qualities, among others, play a significant role in promoting industrialisation in Africa. Therefore, we propose some important policy implications in line with the empirical findings.
Cat-scratch disease masquerading as post-transplant lymphoproliferative disorder
Authors: Ng Hung Shin Paul Brian , Tan Samuel X , Griffin Anthony , Tan Ailin , Kanagarajah Vijay 
Published: February 2024

Abstract
Lymphadenopathy in an immunosuppressed patient raises the quintessential diagnostic dilemma: infection or malignancy? We present the case of a transplant recipient on anti-rejection prophylaxis admitted with acute fever, malaise and a swollen right axillary node. The patient had pancytopenia and tested positive for Epstein–Barr virus; nodal core biopsy demonstrated atypical plasma cell infiltration, immediately raising suspicion for post-transplant lymphoproliferative disorder. However, excisional biopsy and Bartonella henselae serology clarified a final diagnosis of cat-scratch disease—a potentially fatal zoonosis requiring a disparate treatment regimen. Here, we explore this patient’s investigations, hospital course and recovery, with an emphasis on recognizing and differentiating these diagnostic mimics in post-transplant practice.
What makes a father: differentiation of unmarried and divorced fathers in the context of custody under the jurisprudence of the European Court of Human Rights
Authors: Koivula Tapio 
Published: February 2024

Abstract
While marriage has traditionally served as the connective tissue between fathers, mothers, and their children before the law, the increasing commonality of cohabitation-based relationships without marriage has led to many children being born outside of the marriage union. This has complicated the legal understanding of fatherhood in particular, which has traditionally relied on the contractual nature and stability of the marital union to be legally defined and understood. States are often ill-equipped to handle parental separation and child custody in the case of civil unions, and unmarried fathers tend to have fewer venues of legal protection compared to divorced fathers in that regard.
The purpose of this article is to identify the legal challenges surrounding unmarried fathers and parental rights in the context of the jurisprudence of the European Court of Human Rights. It examines the elements of what constitutes legal fatherhood, identifies the main human rights issues surrounding unmarried fathers, and assesses the reasons for legal differentiation between divorced and unmarried fathers. Importantly, conclusions are drawn as to whether and why these differences are justified from a legal perspective. This article contributes to the need for more research in the area of father–child relationships and aims to provide guidance for policy and law-making with regard to unmarried parents in the context of children’s rights.
MUSE-ALMA Haloes X: the stellar masses of gas-rich absorbing galaxies
Authors: Augustin Ramona , Péroux Céline , Karki Arjun , Kulkarni Varsha , Weng Simon , Hamanowicz A , Hayes M , Howk J C , Kacprzak G G , Klitsch A , Zwaan M A , Fox A , Biggs A , Fresco A Y , Kassin S , Kuntschner H 
Published: February 2024

ABSTRACT
The physical processes by which gas is accreted onto galaxies, transformed into stars, and then expelled from galaxies are of paramount importance to galaxy evolution studies. Observationally constraining each of these baryonic components in the same system, however, is challenging. Furthermore, simulations indicate that the stellar mass of galaxies is a key factor influencing CGM properties. Indeed, absorption lines detected against background quasars offer the most compelling way to study the cold gas in the circumgalactic medium (CGM). The MUSE-ALMA Haloes survey is composed of quasar fields covered with VLT/MUSE observations, comprising 32 H i absorbers at 0.2 &lt; z &lt; 1.4 and 79 associated galaxies, with available or upcoming molecular gas measurements from ALMA. We use a dedicated 40-orbit HST UVIS and IR WFC3 broad-band imaging campaign to characterize the stellar content of these galaxies. By fitting their spectral energy distribution, we establish they probe a wide range of stellar masses: 8.1 &lt; log (M*/M⊙) &lt; 12.4. Given their star formation rates, most of these objects lie on the main sequence of galaxies. We also confirm a previously reported anticorrelation between the stellar masses and CGM hydrogen column density N (H i), indicating an evolutionary trend where higher mass galaxies are less likely to host large amounts of H i gas in their immediate vicinity up to 120 kpc. Together with other studies from the MUSE-ALMA Haloes survey, these data provide stellar masses of absorber hosts, a key component of galaxy formation and evolution, and observational constraints on the relation between galaxies and their surrounding medium.
The SAMI Galaxy Survey: using tidal streams and shells to trace the dynamical evolution of massive galaxies
Authors: Rutherford Tomas H , van de Sande Jesse , Croom Scott M , Valenzuela Lucas M , Remus Rhea-Silvia , D’Eugenio Francesco , Vaughan Sam P , Zovaro Henry R M , Casura Sarah , Barsanti Stefania , Bland-Hawthorn Joss , Brough Sarah , Bryant Julia J , Goodwin Michael , Lorente Nuria , Oh Sree , Ristea Andrei 
Published: February 2024

ABSTRACTSlow rotator galaxies are distinct amongst galaxy populations, with simulations suggesting that a mix of minor and major mergers are responsible for their formation. A promising path to resolve outstanding questions on the type of merger responsible, is by investigating deep imaging of massive galaxies for signs of potential merger remnants. We utilize deep imaging from the Subaru-Hyper Suprime Cam Wide data to search for tidal features in massive [log10(M*/M⊙) &gt; 10] early-type galaxies (ETGs) in the SAMI Galaxy Survey. We perform a visual check for tidal features on images where the galaxy has been subtracted using a Multi-Gauss Expansion (MGE) model. We find that 31$^{+2}_{-2}$ per cent of our sample show tidal features. When comparing galaxies with and without features, we find that the distributions in stellar mass, light-weighted mean stellar population age, and H${\alpha}$ equivalent width are significantly different, whereas spin ($\lambda _{R_{\rm {e}}}$), ellipticity, and bulge-to-total ratio have similar distributions. When splitting our sample in age, we find that galaxies below the median age (10.8 Gyr) show a correlation between the presence of shells and lower $\lambda _{R_{\rm {e}}}$, as expected from simulations. We also find these younger galaxies which are classified as having ‘strong’ shells have lower $\lambda _{R_{\rm {e}}}$. However, simulations suggest that merger features become undetectable within ∼2–4 Gyr post-merger. This implies that the relationship between tidal features and merger history disappears for galaxies with older stellar ages, i.e. those that are more likely to have merged long ago.
Galaxy stellar and total mass estimation using machine learning
Authors: Chu Jiani , Tang Hongming , Xu Dandan , Lu Shengdong , Long Richard 
Published: February 2024

ABSTRACT
Conventional galaxy mass estimation methods suffer from model assumptions and degeneracies. Machine learning (ML), which reduces the reliance on such assumptions, can be used to determine how well present-day observations can yield predictions for the distributions of stellar and dark matter. In this work, we use a general sample of galaxies from the TNG100 simulation to investigate the ability of multibranch convolutional neural network (CNN) based ML methods to predict the central (i.e. within 1−2 effective radii) stellar and total masses, and the stellar mass-to-light ratio (M*/L). These models take galaxy images and spatially resolved mean velocity and velocity dispersion maps as inputs. Such CNN-based models can, in general, break the degeneracy between baryonic and dark matter in the sense that the model can make reliable predictions on the individual contributions of each component. For example, with r-band images and two galaxy kinematic maps as inputs, our model predicting M*/L has a prediction uncertainty of 0.04 dex. Moreover, to investigate which (global) features significantly contribute to the correct predictions of the properties above, we utilize a gradient-boosting machine. We find that galaxy luminosity dominates the prediction of all masses in the central regions, with stellar velocity dispersion coming next. We also investigate the main contributing features when predicting stellar and dark matter mass fractions (f*, fDM) and the dark matter mass MDM, and discuss the underlying astrophysics.
Rendez-vous with massive interstellar objects, as triggers of destabilization
Authors: Mikryukov Denis V , Shevchenko Ivan I 
Published: February 2024

ABSTRACT
We study how close passages of interstellar objects of planetary and substellar masses may affect the immediate and long-term dynamics of the Solar system. We consider two nominal approach orbits, namely the orbits of actual interstellar objects 1I/’Oumuamua and 2I/Borisov, assuming them to be typical or representative for interstellar swarms of matter. Thus, the nominal orbits of the interloper in our models cross the inner part of the Solar system. Series of massive numerical experiments are performed, in which the interloper’s mass is varied with a small step over a broad range. We find that, even if a Jovian-mass interloper does not experience close encounters with the Solar system planets (and this holds for our nominal orbits), our planetary system can be destabilized on time-scales as short as several million years. In what concerns substellar-mass interlopers (free-floating brown dwarfs), an immediate (on a time-scale of ∼10–100 yr) consequence of such a massive interstellar object (MISO) flyby is a sharp increase in the orbital eccentricities and inclinations of the outer planets. On an intermediate time-scale (∼103 to 105 yr after the MISO flyby), Uranus or Neptune can be ejected from the system, as a result of their mutual close encounters and encounters with Saturn. On a secular time-scale (∼106 to 107 yr after the MISO flyby), the perturbation wave formed by secular planetary interactions propagates from the outer Solar system to its inner zone.
Unveiling the next generation of MRI contrast agents: current insights and perspectives on ferumoxytol-enhanced MRI
Authors: Si Guangxiang , Du Yue , Tang Peng , Ma Gao , Jia Zhaochen , Zhou Xiaoyue , Mu Dan , Shen Yan , Lu Yi , Mao Yu , Chen Chuan , Li Yan , Gu Ning 
Published: February 2024

ABSTRACT
Contrast-enhanced magnetic resonance imaging (CE-MRI) is a pivotal tool for global disease diagnosis and management. Since its clinical availability in 2009, the off-label use of ferumoxytol for ferumoxytol-enhanced MRI (FE-MRI) has significantly reshaped CE-MRI practices. Unlike MRI that is enhanced by gadolinium-based contrast agents, FE-MRI offers advantages such as reduced contrast agent dosage, extended imaging windows, no nephrotoxicity, higher MRI time efficiency and the capability for molecular imaging. As a leading superparamagnetic iron oxide contrast agent, ferumoxytol is heralded as the next generation of contrast agents. This review delineates the pivotal clinical applications and inherent technical superiority of FE-MRI, providing an avant-garde medical-engineering interdisciplinary lens, thus bridging the gap between clinical demands and engineering innovations. Concurrently, we spotlight the emerging imaging themes and new technical breakthroughs. Lastly, we share our own insights on the potential trajectory of FE-MRI, shedding light on its future within the medical imaging realm.
Nightshift work and irregular menstrual cycle: 8-year follow-up cohort study
Authors: Kim K , Lee M Y , Chang Y , Ryu S 
Published: February 2024

Abstract

Background
Irregular menstruation is a major health problem among women, although its association with nightshift work remains controversial.

Aims
To study the association between nightshift work and irregular menstrual cycle among female workers and investigate any differences according to sleep quality, working hours or obesity.

Methods
This study included female workers who underwent health examinations from 2012 to 2019. Nightshift work, working hours, sleep quality and menstrual cycles were assessed using self-administered questionnaires. Irregular menstrual cycle was defined as self-reported irregular or ≥36 days. Adjusted odds ratios and 95% confidence intervals (CIs) were calculated by multivariable logistic regression; adjusted hazard ratios (95% CIs) for incident irregular menstrual cycle were calculated by Cox proportional hazard models with time-dependent analysis.

Results
The study participants were 87 147 in the cross-sectional study and 41 516 in the longitudinal study. After adjusting for all covariates in the cross-sectional analyses, the odds ratio for prevalent irregular menstrual cycle among female nightshift workers versus the reference was 1.26 (95% CI 1.2–1.33). In the cohort study, the adjusted hazard ratio for incident irregular menstrual cycle among nightshift workers was 1.95 (95% CI 1.61–2.35) in the period after 6 years. No significant differences were observed among subgroups stratified by sleep quality, working hours or obesity.

Conclusions
Nightshift work is associated with an increased risk of both prevalent and incident irregular menstrual cycle in female workers without significant interactions by sleep quality, working hours or obesity.
Exploring the Landscape of Immune Checkpoint Inhibitor-Induced Adverse Events Through Big Data Mining of Pan-Cancer Clinical Trials
Authors: Fadlullah Muhammad Zaki Hidayatullah , Lin Ching-Nung , Coleman Samuel , Young Arabella , Naqash Abdul Rafeh , Hu-Lieskovan Siwen , Tan Aik Choon 
Published: February 2024

Abstract

Purpose
Immune checkpoint inhibitors (ICIs) have significantly improved the survival of patients with cancer and provided long-term durable benefit. However, ICI-treated patients develop a range of toxicities known as immune-related adverse events (irAEs), which could compromise clinical benefits from these treatments. As the incidence and spectrum of irAEs differs across cancer types and ICI agents, it is imperative to characterize the incidence and spectrum of irAEs in a pan-cancer cohort to aid clinical management.

Design
We queried &gt;400 000 trials registered at ClinicalTrials.gov and retrieved a comprehensive pan-cancer database of 71 087 ICI-treated participants from 19 cancer types and 7 ICI agents. We performed data harmonization and cleaning of these trial results into 293 harmonized adverse event categories using Medical Dictionary for Regulatory Activities.

Results
We developed irAExplorer (https://irae.tanlab.org), an interactive database that focuses on adverse events in patients administered with ICIs from big data mining. irAExplorer encompasses 71 087 distinct clinical trial participants from 343 clinical trials across 19 cancer types with well-annotated ICI treatment regimens and harmonized adverse event categories. We demonstrated a few of the irAE analyses through irAExplorer and highlighted some associations between treatment- or cancer-specific irAEs.

Conclusion
The irAExplorer is a user-friendly resource that offers exploration, validation, and discovery of treatment- or cancer-specific irAEs across pan-cancer cohorts. We envision that irAExplorer can serve as a valuable resource to cross-validate users’ internal datasets to increase the robustness of their findings.