bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pursuing Testimonial Justice: Language Access through Patient-centered Outcomes Research with Spanish Speakers
Authors: Martínez Glenn A , Showstack Rachel E , Magaña Dalia , Dejbord-Sawan Parizad , Hardin Karol J 
Published: October 2021

Abstract
Patient-Centered Outcomes Research (PCOR), rooted in the more established tradition of Community-Based Participatory Research (Deeb-Sossa 2019), seeks to empower patients in determining the most appropriate healthcare options by including and amplifying their voices in every aspect of the research process. In this article, we report on the outcomes of a four-year PCOR engagement effort in the US Midwest that aimed to include and amplify patient voices in language in healthcare policy. Our findings revealed feelings of patient disempowerment, discomfort with the social distance created by remote interpreting, and a mismatch of knowledge and expectations among interlocutors in medical interactions. Our discussions also underscored women’s work in addressing healthcare issues within the family and their resilience in describing systemic inequities in health communication. We argue that participation in PCOR empowers patients through the enactment of testimonial justice. We conclude by discussing implications and recommendations for language researchers who are interested in working toward social justice in language in healthcare policy in USA and building a multi-stakeholder platform for PCOR.
Laparoscopic versus open resection of hepatocellular carcinoma in patients with cirrhosis: meta-analysis
Authors: Kabir Tousif , Tan Zoe Z , Syn Nicholas L , Wu Eric , Lin J Daryl , Zhao Joseph J , Tan Alvin Y H , Hui Yong , Kam Juinn H , Goh Brian K P 
Published: October 2021

Abstract

Background
The exact role of laparoscopic liver resection (LLR) in patients with hepatocellular carcinoma (HCC) and underlying liver cirrhosis (LC) is not well defined. In this meta-analysis, both long- and short-term outcomes following LLR versus open liver resection (OLR) were analysed.

Methods
PubMed, EMBASE, Scopus and Web of Science databases were searched systematically for randomised controlled trials (RCTs) and propensity-score matched (PSM) studies reporting outcomes of LLR versus OLR of HCC in patients with cirrhosis. Primary outcome was overall survival (OS). This was analysed using one-stage (individual participant data meta-analysis) and two-stage (aggregate data meta-analysis) approaches. Secondary outcomes were operation duration, blood loss, blood transfusion, Pringle manoeuvre utilization, overall and major complications, length of hospital stay (LOHS), 90-day mortality and R0 resection rates.

Results
Eleven studies comprising 1618 patients (690 LLR versus 928 OLR) were included for analysis. In the one-stage meta-analysis, an approximately 18.7 per cent lower hazard rate (HR) of death in the LLR group (random effects: HR 0.81, 95 per cent confidence interval [C.I.] 0.68 to 0.96; P = 0.018) was observed. Two-stage meta-analysis resulted in a pooled HR of 0.84 (95 per cent C.I. 0.74 to 0.96; P = 0.01) in the overall LLR cohort. This indicated a 16–26 per cent reduction in the HR of death for patients with HCC and cirrhosis who underwent LLR. For secondary outcomes, LLR was associated with less blood loss (mean difference [MD] −99 ml, 95 per cent C.I. −182 to −16 ml), reduced overall complications (odds ratio 0.49, 95 per cent C.I. 0.37 to 0.66) and major complications (odds ratio 0.45, 95 per cent C.I. 0.26 to 0.79), and shorter LOHS (MD −3.22 days, 95 per cent C.I. −4.38 to −2.06 days).

Conclusion
Laparoscopic resection of HCC in patients with cirrhosis is associated with improved survival and perioperative outcomes.
Personalized brain models identify neurotransmitter receptor changes in Alzheimer's disease
Authors: Khan Ahmed Faraz , Adewale Quadri , Baumeister Tobias R , Carbonell Felix , Zilles Karl , Palomero-Gallagher Nicola , Iturria-Medina Yasser ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: October 2021

AbstractAlzheimer’s disease involves many neurobiological alterations from molecular to macroscopic spatial scales, but we currently lack integrative, mechanistic brain models characterizing how factors across different biological scales interact to cause clinical deterioration in a way that is subject-specific or personalized. As important signalling molecules and mediators of many neurobiological interactions, neurotransmitter receptors are promising candidates for identifying molecular mechanisms and drug targets in Alzheimer's disease.We present a neurotransmitter receptor-enriched multifactorial brain model, which integrates spatial distribution patterns of 15 neurotransmitter receptors from post-mortem autoradiography with multiple in vivo neuroimaging modalities (tau, amyloid-β and glucose PET, and structural, functional and arterial spin labelling MRI) in a personalized, generative, whole-brain formulation.In a heterogeneous aged population (n = 423, ADNI data), models with personalized receptor-neuroimaging interactions showed a significant improvement over neuroimaging-only models, explaining about 70% (±20%) of the variance in longitudinal changes to the six neuroimaging modalities. In Alzheimer's disease patients (n = 25, ADNI data), receptor-imaging interactions explained up to 39.7% (P &lt; 0.003, family-wise error-rate-corrected) of inter-individual variability in cognitive deterioration, via an axis primarily affecting executive function. Notably, based on their contribution to the clinical severity in Alzheimer’s disease, we found significant functional alterations to glutamatergic interactions affecting tau accumulation and neural activity dysfunction and GABAergic interactions concurrently affecting neural activity dysfunction, amyloid and tau distributions, as well as significant cholinergic receptor effects on tau accumulation. Overall, GABAergic alterations had the largest effect on cognitive impairment (particularly executive function) in our Alzheimer’s disease cohort (n = 25). Furthermore, we demonstrate the clinical applicability of this approach by characterizing subjects based on individualized ‘fingerprints’ of receptor alterations.This study introduces the first robust, data-driven framework for integrating several neurotransmitter receptors, multimodal neuroimaging and clinical data in a flexible and interpretable brain model. It enables further understanding of the mechanistic neuropathological basis of neurodegenerative progression and heterogeneity, and constitutes a promising step towards implementing personalized, neurotransmitter-based treatments.
Failed It or Nailed It: A Historical-Comparative Analysis of Legislating Bushmeat Ban in China
Authors: He Liuyang , Li Hui 
Published: October 2021

Abstract
One of the prominent policy responses to COVID-19 by the Chinese government is a recent complete ban on trade and the consumption of wild animals for food use purposes. Despite some discussions and debates in media coverage, the policy has not obtained much scholarly discussion from a public policy perspective. This article aims to fill the research gap by examining the policy formation process of the complete ban. The study conducts a historical-comparative analysis of the three legislative attempts on the bushmeat ban in 2004, 2016, and 2020, applying the multiple streams framework (MSF). We identify six key explanatory factors contributing to the successful formulation of the strictest-ever bushmeat ban. Five corroborate with the problem, policy, and political streams respectively: (i) the existence of an exogenous zoonosis-related crisis as background (problem stream); (ii) the attention and support from the top-level political leaders (political stream); (iii) the national mood (political stream); (iv) proposals from both internal and external policy advisors and experts (policy stream); and (v) feasibility of the proposed solutions (policy stream). The sixth—the role of policy entrepreneurs—serves as a fundamental driving force in shaping and coupling the three streams.
A bioinformatics approach to investigate serum and hematopoietic cell-specific therapeutic microRNAs targeting the 3' UTRs of all four Dengue virus serotypes
Authors: Baig Mirza Sarwar , Krishnan Anuja 
Published: October 2021

ABSTRACT
Hyperendemic circulation of all four Dengue virus (DENV) serotypes is a severe global public health problem, so any vaccine or therapeutics should be able to target all four of them. Cells of hemopoietic origin are believed to be primary sites of DENV replication. This study aimed to identify potential host miRNAs that target 3' UTR of all four DENV serotypes, thereby directly regulating viral gene expression or indirectly modulating the host system at different virus infection steps. We used four prediction algorithms viz. miRanda, RNA22, RNAhybrid and StarMir for predicting miRNA, targeting 3'UTR of all four DENV serotypes. Statistically, the most significant miRNA targets were screened based on their Log10 P-value (&gt; 0.0001) of Gene Ontology (GO) term and Kyoto Encyclopaedia of Gene and Genome (KEGG) pathway enrichment analysis.
The intersection test of at least three prediction tools identified a total of 30 miRNAs, which could bind to 3'UTR of all four DENV serotypes. Of the 30, eight miRNAs were of hematopoietic cell origin. GO term enrichment and KEGG analysis showed four hemopoietic origin miRNAs target genes of the biological processes mainly involved in the innate immune response, mRNA 3'-end processing, antigen processing and presentation and nuclear-transcribed mRNA catabolic process.
Strengthening national capacities for pandemic preparedness: a cross-country analysis of COVID-19 cases and deaths
Authors: Duong David B , King Andrew J , Grépin Karen A , Hsu Li Yang , Lim Jeremy Fy , Phillips Christine , Thai Truc Thanh , Venkatachalam Indumathi , Vogt Florian , Yam Esabelle Lo Yan , Bazley Stephanie , Chang Lydia Dai-Jia , Flaugh Rachel , Nagle Baily , Ponniah Johanan Dravium , Sun Penny , Trad Nicolas K , Berwick Donald M 
Published: October 2021

Abstract
The International Health Regulations—State Party Annual Reporting (IHR-SPAR) index and the Global Health Security Index (GHSI) have been developed to aid in strengthening national capacities for pandemic preparedness. We examined the relationship between country-level rankings on these two indices, along with two additional indices (the Universal Health Coverage Service Coverage Index and World Bank Worldwide Governance Indicator (n = 195)) and compared them to the country-level reported coronavirus disease (COVID-19) cases and deaths (Johns Hopkins University COVID-19 Dashboard) through 17 June 2020. Ordinary least squares regression models were used to compare weekly reported COVID-19 cases and death rates per million in the first 12 weeks of the pandemic between countries classified as low, middle and high ranking on each index while controlling for country socio-demographic information. Countries with higher GHSI and IHR-SPAR index scores experienced fewer reported COVID-19 cases and deaths but only for the first 8 weeks after the country’s first case. For the GHSI, this association was further limited to countries with populations below 69.4 million. For both the GHSI and IHR-SPAR, countries with a higher sub-index score in human resources for pandemic preparedness reported fewer COVID-19 cases and deaths in the first 8 weeks after the country’s first reported case. The Universal Health Coverage Service Coverage Index and Worldwide Governance Indicator country-level rankings were not associated with COVID-19 outcomes. The associations between GHSI and IHR-SPAR scores and COVID-19 outcomes observed in this study demonstrate that these two indices, although imperfect, may have value, especially in countries with a population under 69.4 million people for the GHSI. Preparedness indices may have value; however, they should continue to be evaluated as policy makers seek to better prepare for future global public health crises.
Pre-eclampsia and risk of early-childhood asthma: a register study with sibling comparison and an exploration of intermediate variables
Authors: Byberg Kristine Kjer , Lundholm Cecilia , Brew Bronwyn K , Rejnö Gustaf , Almqvist Catarina 
Published: October 2021

Abstract

Background
We aimed to study whether pre-eclampsia is associated with childhood asthma, allergic and non-allergic asthma, accounting for family factors and intermediate variables.

Methods
The study population comprised 779 711 children born in 2005–2012, identified from Swedish national health registers (n = 14 823/7410 exposed to mild/moderate and severe pre-eclampsia, respectively). We used Cox regression to estimate the associations of mild/moderate and severe pre-eclampsia with incident asthma, before and after age 2 years. Cox regressions were controlled for familial factors using sibling comparisons, then stratified on high and low risk for intermediate variables: caesarean section, prematurity and small for gestational age. We used logistic regression for allergic and non-allergic prevalent asthma at 6 years as a measure of more established asthma.

Results
The incidence of asthma in children was 7.7% (n = 60 239). The associations varied from adjusted hazard ratio (adjHR) 1.11, 95% confidence interval (CI): 1.00, 1.24 for mild/moderate pre-eclampsia and asthma at &gt;2 years age, to adjHR 1.78, 95% CI: 1.64, 1.95 for severe pre-eclampsia and asthma at &lt;2 years age. Sibling comparisons attenuated most estimates except for the association between severe pre-eclampsia and asthma at &lt;2 years age (adjHR 1.45, 95% CI: 1.10, 1.90), which also remained when stratifying for the risk of intermediates. Mild/moderate and severe pre-eclampsia were associated with prevalent non-allergic (but not allergic) asthma at 6 years, with adjusted odds ratio (adjOR) 1.17, 95% CI: 1.00, 1.36 and adjOR 1.51, 95% CI: 1.23, 1.84, respectively.

Conclusions
We found evidence that severe, but not mild/moderate, pre-eclampsia is associated with asthma regardless of familial factors and confounders.
Heat processing increased the digestibility of phosphorus in soybean expeller, canola meal, and canola expeller fed to growing pigs
Authors: Lee Jinyoung , Nyachoti Charles Martin 
Published: October 2021

AbstractIt is hypothesized that heat processing may increase P digestibility in different protein sources fed to growing pigs. A study was conducted to determine the apparent total tract digestibility (ATTD) and standardized total tract digestibility (STTD) of P in soybean expeller (SBE) produced from oil extraction using dry extrusion and expelling and to investigate the effects of heat treatment on the ATTD and STTD of P in SBE, canola meal (CM), and canola expeller (CE) fed to growing pigs. Thirty-six growing barrows with an initial body weight of 19.0 ± 1.0 kg (mean ± SD) were assigned to 1 of 6 experimental diets in a completely randomized design to give 6 replicates per diet. The experimental design was a 3 × 2 factorial arrangement including three oilseed meals with or without heat treatment. The diets were formulated to contain non-autoclaved or autoclaved (at 121 °C for 60 min) SBE, CM, and CE as the sole source of P. Limestone was included in diets to maintain a Ca:total P ratio of 1.3:1 across diets. Pigs were individually housed in metabolism crates for 12 d, including 7 d for adaptation and 5 d for total collection of feces. Pigs were offered their daily ration at 2.8 times their maintenance energy requirement. Data were analyzed using the PROC MIXED of SAS. Heat treatment increased (P &lt; 0.05) the ATTD and STTD of P. Pigs fed the SBE diets had greater (P &lt; 0.05) ATTD and STTD of P than pigs fed CM and CE diets. For the autoclaved ingredients, the values of STTD of P were 49.4%, 23.2%, and 25.8% for SBE, CM, and CE, respectively, whereas STTD of P in non-autoclaved SBE, CM, and CE were 48.5%, 20.2%, and 22.5%. Heat treatment increased (P &lt; 0.05) the ATTD of Ca. In conclusion, heat treatment increased ATTD and STTD of P and ATTD of Ca in SBE, CM, and CE fed to growing pigs. The ATTD and STTD of P in SBE determined in the current study were 41.0% and 48.5%, respectively.
A poplar option: the ‘within-individual approach’ for elucidating xylem structure–function relationships
Authors: Olson Mark E 
Published: October 2021

This article comments on:
Baer AB, Fickle JC, Medina J, Robles C, Pratt RB, Jacobsen AL. 2021. Xylem biomechanics, water storage, and density within roots and shoots of an angiosperm tree species. Journal of Experimental Botany 72, 7984–7997.
Probing membrane protein interactions and signaling molecule homeostasis in plants by Förster resonance energy transfer analysis
Authors: Duan Zhikun , Li Kaiwen , Duan Wenwen , Zhang Junli , Xing Jingjing 
Published: October 2021

Abstract
Membrane proteins have key functions in signal transduction, transport, and metabolism. Therefore, deciphering the interactions between membrane proteins provides crucial information on signal transduction and the spatiotemporal organization of protein complexes. However, detecting the interactions and behaviors of membrane proteins in their native environments remains difficult. Förster resonance energy transfer (FRET) is a powerful tool for quantifying the dynamic interactions and assembly of membrane proteins without disrupting their local environment, supplying nanometer-scale spatial information and nanosecond-scale temporal information. In this review, we briefly introduce the basic principles of FRET and assess the current state of progress in the development of new FRET techniques (such as FRET-FLIM, homo-FRET, and smFRET) for the analysis of plant membrane proteins. We also describe the various FRET-based biosensors used to quantify the homeostasis of signaling molecules and the active state of kinases. Furthermore, we summarize recent applications of these advanced FRET sensors in probing membrane protein interactions, stoichiometry, and protein clustering, which have shed light on the complex biological functions of membrane proteins in living plant cells.
Real-time discovery of AT2020xnd: a fast, luminous ultraviolet transient with minimal radioactive ejecta
Authors: Perley Daniel A , Ho Anna Y Q , Yao Yuhan , Fremling Christoffer , Anderson Joseph P , Schulze Steve , Kumar Harsh , Anupama G C , Barway Sudhanshu , Bellm Eric C , Bhalerao Varun , Chen Ting-Wan , Duev Dmitry A , Galbany Lluís , Graham Matthew J , Gromadzki Mariusz , Gutiérrez Claudia P , Ihanec Nada , Inserra Cosimo , Kasliwal Mansi M , Kool Erik C , Kulkarni S R , Laher Russ R , Masci Frank J , Neill James D , Nicholl Matt , Pursiainen Miika , van Roestel Joannes , Sharma Yashvi , Sollerman Jesper , Walters Richard , Wiseman Philip 
Published: October 2021

ABSTRACT
The many unusual properties of the enigmatic AT2018cow suggested that at least some subset of the empirical class of fast blue optical transients (FBOTs) represents a genuinely new astrophysical phenomenon. Unfortunately, the intrinsic rarity and fleeting nature of these events have made it difficult to identify additional examples early enough to acquire the observations necessary to constrain theoretical models. We present here the Zwicky Transient Facility discovery of AT2020xnd (ZTF20acigmel, the ‘Camel’) at z = 0.243, the first unambiguous AT2018cow analogue to be found and confirmed in real time. AT2018cow and AT2020xnd share all key observational properties: a fast optical rise, sustained high photospheric temperature, absence of a second peak attributable to ejection of a radioactively heated stellar envelope, extremely luminous radio, millimetre, and X-ray emission, and a dwarf-galaxy host. This supports the argument that AT2018cow-like events represent a distinct phenomenon from slower-evolving radio-quiet supernovae, likely requiring a different progenitor or a different central engine. The sample properties of the four known members of this class to date disfavour tidal disruption models but are consistent with the alternative model of an accretion powered jet following the direct collapse of a massive star to a black hole. Contextual filtering of alert streams combined with rapid photometric verification using multiband imaging provides an efficient way to identify future members of this class, even at high redshift.
Kinematics of the Milky Way from the Gaia EDR3 red giants and subgiants
Authors: Fedorov P N , Akhmetov V S , Velichko A B , Dmytrenko A M , Denischenko S I 
Published: October 2021

ABSTRACT
We present the results of the kinematic investigations carried out with the use of spatial velocities of red giants and subgiants contained in the Gaia EDR3 catalogue. The 12 kinematic parameters of the Ogorodnikov–Milne model have been derived for stellar systems with radii of 0.5 and 1.0 kpc, located along the direction of the Galactic Centre–the Sun–the Galactic anticentre within the range of Galactocentric distances R =  0–8–16 kpc. By combining some of the local parameters, the information related to the Galaxy as a whole has been received in the distance range of 4–12 kpc, in particular the circular velocity curve of red giant and subgiant centroids, its slope, and velocity gradients. We show that when using this approach, there is an alternative possibility to infer the behaviour of the circular velocity curve of red giant and subgiant centroids and its slope without using the Galactocentric distance R⊙. The kinematic parameters derived within the solar vicinity of 1 kpc radius are in good agreement with those given in the literature.
Constraining the point spread function by using galaxy images
Authors: Nie Lin , Li Guoliang , Zhang Jun , Fan Zuhui , Peterson John R 
Published: October 2021

ABSTRACT
Inferring the point spread function (PSF) at galaxy positions is one of the crucial steps of the shear measurement. We introduce a novel method to estimate the PSFs at the galaxy positions by using the galaxy images, which could provide additional constrains for the PSF field variations. We construct the PSF for each star image by using Principal-Components-Analysis (PCA) method, which can capture the most significant characteristics of the data. Our method utilizes the image difference of the same object between multi-exposures to probe the coefficients of the principal components, in which the differences are mainly caused by PSFs. We apply our method to the observed data. The results show that the corresponding PSFs can be properly estimated from multiple images of different exposures. We then use the obtained principal components from the observations to mock multi-exposure images, where the PSFs field of each exposure is constructed by bivariate polynomial on coefficients. We find that our method can reproduce the PSFs consistently with mocked data. Our results show that the multi-exposed galaxy images could provide us additional constraints for the PSF fields in PCA scenario. It offers a promising prospect for combing the information of stars and galaxies together to construct the PSF field when the point sources are sparsely sampled.