bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of UV bright sources in globular cluster NGC 4590 using Ultraviolet Imaging Telescope (UVIT) observations
Authors: Kumar Ranjan , Pradhan Ananta C , Parthasarathy M , Piridi Sonika , Cassisi Santi , Ojha Devendra K , Mohapatra Abhisek , Murthy Jayant 
Published: February 2022

ABSTRACT
We have studied ultraviolet (UV) bright sources in the Galactic globular cluster (GGC) NGC 4590 using Ultraviolet Imaging Telescope onboard the AstroSat satellite. Using UV-optical colour–magnitude diagrams (CMDs), we have identified and characterized the sources of different evolutionary stages i.e. blue horizontal branch stars (BHBs), extremely blue horizontal branch stars (EHBs), blue straggler stars (BSs), variable stars, etc. We estimated effective temperature (Teff), gravity (log (g)), luminosity (Lbol), and hence the radius (R) of these hot stars by fitting spectral energy distribution with the help of stellar atmosphere models. Two new far-UV bright cluster member stars situated near the core of the cluster have been detected; one of them is an EHB star and the other one is either in its post-blue hook evolutionary phase or in white dwarf phase. The evolutionary status of all the hot stars, identified in the cluster, has been investigated by using various evolutionary models. We find the massive and younger BSs are concentrated at the centre of the cluster whereas the older and less massive BSs are distributed throughout the cluster. The BSs normalized radial distribution seems to be bi-modal with a minimum located at rmin = 4.3 rc. We calculated A+ parameter of the cluster which is obtained using cumulative normalized radial distribution of horizontal branch stars (HBs) and BSs. We measured this value up to half-mass radius of the cluster to be +0.13, which indicates that NGC 4590 is one of the youngest clusters among dynamically intermediate age GGCs with a dynamical age of 0.423 ± 0.096 Gyr.
GCAT|Panel, a comprehensive structural variant haplotype map of the Iberian population from high-coverage whole-genome sequencing
Authors: Valls-Margarit Jordi , Galván-Femenía Iván , Matías-Sánchez Daniel , Blay Natalia , Puiggròs Montserrat , Carreras Anna , Salvoro Cecilia , Cortés Beatriz , Amela Ramon , Farre Xavier , Lerga-Jaso Jon , Puig Marta , Sánchez-Herrero Jose Francisco , Moreno Victor , Perucho Manuel , Sumoy Lauro , Armengol Lluís , Delaneau Olivier , Cáceres Mario , de Cid Rafael , Torrents David 
Published: February 2022

Abstract
The combined analysis of haplotype panels with phenotype clinical cohorts is a common approach to explore the genetic architecture of human diseases. However, genetic studies are mainly based on single nucleotide variants (SNVs) and small insertions and deletions (indels). Here, we contribute to fill this gap by generating a dense haplotype map focused on the identification, characterization, and phasing of structural variants (SVs). By integrating multiple variant identification methods and Logistic Regression Models (LRMs), we present a catalogue of 35 431 441 variants, including 89 178 SVs (≥50 bp), 30 325 064 SNVs and 5 017 199 indels, across 785 Illumina high coverage (30x) whole-genomes from the Iberian GCAT Cohort, containing a median of 3.52M SNVs, 606 336 indels and 6393 SVs per individual. The haplotype panel is able to impute up to 14 360 728 SNVs/indels and 23 179 SVs, showing a 2.7-fold increase for SVs compared with available genetic variation panels. The value of this panel for SVs analysis is shown through an imputed rare Alu element located in a new locus associated with Mononeuritis of lower limb, a rare neuromuscular disease. This study represents the first deep characterization of genetic variation within the Iberian population and the first operational haplotype panel to systematically include the SVs into genome-wide genetic studies.
Consciousness explained or described?
Authors: Schurger Aaron , Graziano Michael 
Published: February 2022

AbstractConsciousness is an unusual phenomenon to study scientifically. It is defined as a subjective, first-person phenomenon, and science is an objective, third-person endeavor. This misalignment between the means—science—and the end—explaining consciousness—gave rise to what has become a productive workaround: the search for ‘neural correlates of consciousness’ (NCCs). Science can sidestep trying to explain consciousness and instead focus on characterizing the kind(s) of neural activity that are reliably correlated with consciousness. However, while we have learned a lot about consciousness in the bargain, the NCC approach was not originally intended as the foundation for a true explanation of consciousness. Indeed, it was proposed precisely to sidestep the, arguably futile, attempt to find one. So how can an account, couched in terms of neural correlates, do the work that a theory is supposed to do: explain consciousness? The answer is that it cannot, and in fact most modern accounts of consciousness do not pretend to. Thus, here, we challenge whether or not any modern accounts of consciousness are in fact theories at all. Instead we argue that they are (competing) laws of consciousness. They describe what they cannot explain, just as Newton described gravity long before a true explanation was ever offered. We lay out our argument using a variety of modern accounts as examples and go on to argue that at least one modern account of consciousness, attention schema theory, goes beyond describing consciousness-related brain activity and qualifies as an explanatory theory.
Susceptibility to auditory hallucinations is associated with spontaneous but not directed modulation of top-down expectations for speech
Authors: Alderson-Day Ben , Moffatt Jamie , Lima César F , Krishnan Saloni , Fernyhough Charles , Scott Sophie K , Denton Sophie , Leong Ivy Yi Ting , Oncel Alena D , Wu Yu-Lin , Gurbuz Zehra , Evans Samuel 
Published: February 2022

Abstract
Auditory verbal hallucinations (AVHs)—or hearing voices—occur in clinical and non-clinical populations, but their mechanisms remain unclear. Predictive processing models of psychosis have proposed that hallucinations arise from an over-weighting of prior expectations in perception. It is unknown, however, whether this reflects (i) a sensitivity to explicit modulation of prior knowledge or (ii) a pre-existing tendency to spontaneously use such knowledge in ambiguous contexts. Four experiments were conducted to examine this question in healthy participants listening to ambiguous speech stimuli. In experiments 1a (n = 60) and 1b (n = 60), participants discriminated intelligible and unintelligible sine-wave speech before and after exposure to the original language templates (i.e. a modulation of expectation). No relationship was observed between top-down modulation and two common measures of hallucination-proneness. Experiment 2 (n = 99) confirmed this pattern with a different stimulus—sine-vocoded speech (SVS)—that was designed to minimize ceiling effects in discrimination and more closely model previous top-down effects reported in psychosis. In Experiment 3 (n = 134), participants were exposed to SVS without prior knowledge that it contained speech (i.e. naïve listening). AVH-proneness significantly predicted both pre-exposure identification of speech and successful recall for words hidden in SVS, indicating that participants could actually decode the hidden signal spontaneously. Altogether, these findings support a pre-existing tendency to spontaneously draw upon prior knowledge in healthy people prone to AVH, rather than a sensitivity to temporary modulations of expectation. We propose a model of clinical and non-clinical hallucinations, across auditory and visual modalities, with testable predictions for future research.
Comparative Analysis of Mortality From Coronavirus Disease 2019 Across the European Union Countries and the Effects of Vaccine Coverage
Authors: Ziakas Panayiotis D , Kourbeti Irene S , Mylonakis Eleftherios 
Published: February 2022

AbstractBackgroundMortality is a critical measure of disease impact. The European Union (EU) countries share the same regulatory framework but different implementation policies.MethodsWe extracted cumulative COVID-19 mortality data across the EU countries. We evaluated the 27 member states using the location quotient (LQ) to adjust for the expected mortality in the whole EU region, where an LQ &lt;1 signifies a more and an LQ &gt;1 a less favorable outcome. We categorized EU members into 3 distinct profiles based on their LQ estimates: favorable profile, LQ ≤0.9; unfavorable profile, LQ &gt;1.10; and average profile, LQ between 0.9 and 1.10. We compared LQ estimates and profiles with the prevaccination era that ended in December 2020 with the COVID-19 vaccine rollout.ResultsTwelve member states had a favorable profile, 4 had an average profile, and 11 had an unfavorable profile. In quantitative analysis, an improvement (negative LQ difference) was noted across countries with higher vaccination coverage (median, 71% fully vaccinated vs 57% for countries with positive LQ differences). There was a significant negative association between the share of fully vaccinated and LQ changes (ρ = –0.62, P &lt; .001) and a significant 4-month lag effect. After COVID-19 vaccines became available, 4 countries improved their profile and 5 moved to a worse profile.ConclusionsThere is significant variability in mortality and impact of COVID-19 between countries, even if they share the same regulatory framework. Extending immunization coverage may lead the transition to a more favorable profile, and alter the trajectory of COVID-19 mortality.
Olfactomedin 4 Is a Biomarker for the Severity of Infectious Diseases
Authors: Liu Wenli , Rodgers Griffin P 
Published: February 2022

Abstract
Biomarkers of infectious diseases are essential tools for patient monitoring, diagnostics, and prognostics. Here we review recent advances in our understanding of olfactomedin 4 (OLFM4) in neutrophil biology and of OLFM4 as a new biomarker for certain infectious diseases. OLFM4 is a neutrophil-specific granule protein that is expressed in a subset of human and mouse neutrophils. OLFM4 expression is upregulated in many viral and bacterial infections, as well as in malaria. OLFM4 appears to play an important role in regulating host innate immunity against bacterial infection. Further, higher expression of OLFM4 is associated with severity of disease for dengue virus, respiratory syncytial virus, and malaria infections. In addition, higher expression of OLFM4 or a higher percentage of OLFM4 + neutrophils is associated with poorer outcomes in septic patients. OLFM4 is a promising biomarker and potential therapeutic target in certain infectious diseases.
Long-Term Efficacy, Safety, and Durability of Cabotegravir and Rilpivirine as 2-Drug Oral Maintenance Therapy After 6 Years of Study
Authors: Sutton Kenneth C , De Vente Jerome , Leblanc Roger , Dejesus Edwin , Smith Graham , Mills Anthony , Baril Jean-Guy , St. Clair Marty , Stancil Britt S , Vandermeulen Kati , Spreen William R 
Published: February 2022

Abstract

Background
In the LATTE study, daily oral cabotegravir + rilpivirine demonstrated higher rates of efficacy than efavirenz + 2 nucleoside reverse-transcriptase inhibitors (NRTIs) through Week 96 in antiretroviral therapy (ART)-naive adults with human immunodeficiency virus (HIV)-1. We present the results from 6 years of continued treatment with oral cabotegravir + rilpivirine.

Methods
LATTE was a phase IIb, randomized, multicenter, partially blinded, dose-ranging study in ART-naive adults with HIV-1. After a 24-week induction phase with cabotegravir + 2 NRTIs, participants with HIV-1 ribonucleic acid (RNA) &lt;50 copies/mL were randomized to receive cabotegravir (10, 30, or 60 mg) + rilpivirine (25 mg) in the maintenance phase through Week 96 and switched to cabotegravir 30 mg + rilpivirine 25 mg in the open-label phase through Week 312.

Results
Of 160 participants who entered the maintenance phase, 111 completed the study at Week 312. At Week 312, 105 (66%) participants maintained HIV-1 RNA &lt;50 copies/mL, 15 (9%) had HIV-1 RNA ≥50 copies/mL, and 40 (25%) had no virologic data. Eight participants met protocol-defined virologic failure criteria through Week 312, 2 of whom met protocol-defined virologic failure criteria after Week 144. Six participants developed treatment-emergent resistance to 1 or both agents during the study, 3 of whom developed integrase inhibitor resistance substitutions. Two participants (1%) reported drug-related serious adverse events. Few adverse events led to withdrawal during the open-label phase (n = 5, 3%).

Conclusions
Oral cabotegravir + rilpivirine demonstrated efficacy in the majority of participants and an acceptable safety profile through 6 years of treatment, demonstrating its durability as maintenance therapy for HIV-1.
Prevalence of Latent Tuberculous Infection in Patients With Nontuberculous Mycobacterial Lung Disease and Colonization: A Prospective Study in an Intermediate Tuberculosis Burden Country
Authors: Lee Ho-Sheng , Wei Yu-Feng , Tsai Yi-Jung , Wang Ping-Huai , Chen Chung-Yu , Pan Sheng-Wei , Shu Chin-Chung 
Published: February 2022

Abstract

Background
Controlling latent tuberculosis infection (LTBI) is important in eliminating tuberculosis (TB); however, the prevalence of LTBI has rarely been studied in patients with nontuberculous mycobacterial (NTM) lung disease (LD) and colonization (LC).

Methods
We prospectively recruited subjects with NTM isolated from sputum mycobacterial cultures from December 2011 to June 2019. NTM-LD and NTM-LC were defined according to the American Thoracic Society guidelines. Patients with negative cultures were recruited as controls. Patients with a history of active TB or positive TB cultures were excluded. LTBI was confirmed using a QuantiFERON-TB Gold In-tube test. The prevalence and factors associated with LTBI were analyzed.

Results
A total of 406 participants were enrolled, including 171 in the NTM-LD group, 153 in the NTM-LC group, and 82 in the control group. The prevalence of LTBI was higher in the NTM-LD and NTM-LC groups than in the controls (21.6%, 20.9%, and 6.1%; P = .006). Multivariable analysis showed that old age (adjusted odds ratio [aOR], 1.021, per year increment; P = .042), NTM-LD (aOR, 4.030; P = .005), NTM-LC (aOR, 3.610; P = .011, compared with the controls), and pulmonary cavitary lesions (aOR, 3.393; P = .034) were independently associated with LTBI.

Conclusions
The prevalence of LTBI was higher in the patients with NTM-LD and NTM-LC than in the controls. Old age, pulmonary cavitation, and NTM isolated from sputum were associated with a higher risk of LTBI.
Mother–Father Parity in Work–Family Conflict? The Importance of Selection Effects and Nonresponse Bias
Authors: Young Marisa , Milkie Melissa A , Schieman Scott 
Published: February 2022

AbstractDo mothers experience worse work–family conflicts compared with fathers? Yes, according to trenchant and influential qualitative studies that illuminate mothers’ deeply felt problems from work demands that intrude into family life. No, suggest studies employing representative samples of employed parents that show mothers’ and fathers’ have similar work-to-family conflict. We assess these paradoxical depictions of parents’ lives using panel data from the national Canadian Work, Stress and Health study (2011–2019). We argue that comparable reports from men and women are misleading because they overlook mothers’ adjustment of work hours in the face of high conflict. As evidence, we reveal a gender suppression effect whereby mothers report higher conflict than fathers when adjusting for work hours in the baseline sample. Next, we show that mothers are more likely to leave paid work because of conflict. In fact, they are three times more likely than fathers to leave because of conflict’s focal predictor—having young children. These findings reflect mothers’ adjustment to the conflict they might already experience or anticipate. We use pooled person-year data and fixed-effects regression with logit specification to estimate the hazard of not working at the next wave by gender. We underscore the selection of some mothers into surveys or subsequent waves because it excludes those who systematically dropped out due to higher conflict and its primary predictor of having young children. We argue the observed “gender symmetry” of conflict is an artifact and illustrate the importance of theorizing stress processes over time to understand contradictory work–family conflict scholarship.
Analyzing Phylogenetic Trees with a Tree Lattice Coordinate System and a Graph Polynomial
Authors: Liu Pengyu , Biller Priscila , Gould Matthew , Colijn Caroline 
Published: February 2022

AbstractPhylogenetic trees are a central tool in many areas of life science and medicine. They demonstrate evolutionary patterns among species, genes, and patterns of ancestry among sets of individuals. The tree shapes and branch lengths of phylogenetic trees encode evolutionary and epidemiological information. To extract information from tree shapes and branch lengths, representation and comparison methods for phylogenetic trees are needed. Representing and comparing tree shapes and branch lengths of phylogenetic trees are challenging, for a tree shape is unlabeled and can be displayed in numerous different forms, and branch lengths of a tree shape are specific to edges whose positions vary with respect to the displayed forms of the tree shape. In this article, we introduce representation and comparison methods for rooted unlabeled phylogenetic trees based on a tree lattice that serves as a coordinate system for rooted binary trees with branch lengths and a graph polynomial that fully characterizes tree shapes. We show that the introduced tree representations and metrics provide distance-based likelihood-free methods for tree clustering, parameter estimation, and model selection and apply the methods to analyze phylogenies reconstructed from virus sequences. [Graph polynomial; likelihood-free inference; phylogenetics; tree lattice; tree metrics.]
Ascending Aortic Aneurysm and Dissection Secondary to Bicuspid Aortic Valve with Concomitant Coarctation of Descending Aorta Successfully Repaired with Extracorporeal Membrane Oxygenation Support: A Case Report
Authors: Jiang Qin , Du Juan , Yu Tao , Huang Xiaobo , Zuo Mingliang , Huang Keli 
Published: February 2022

Abstract
Type A aortic aneurysm and dissection secondary to bicuspid aortic valve (BAV) with untreated coarctation of the aorta (CoA) in adults is a rare finding because there are almost no “abnormalities” in these patients’ medical histories. Here, we report on a 47-year-old man with unexplained weakness followed by unconsciousness. He was diagnosed with cardiogenic shock and underwent venoarterial extracorporeal membrane oxygenation (VA-ECMO). BAV, ascending aortic aneurysm and dissection (based on bedside echocardiography) and concomitant CoA (based on computed tomography angiography) were confirmed. The patient then underwent emergency surgery including aortic root replacement with a composite mechanical valve conduit, additional ascending-to-descending aortic bypass, and coronary artery bypass grafting with a saphenous vein graft to the right coronary artery. After treatment, he recovered uneventfully. Thus, here we present a case involving a patient in a critical condition with ascending aortic aneurysm and dissection secondary to complex congenital heart defects, who was successfully treated with composite surgical procedures combined with life-saving VA-ECMO.
Impact of liver disease severity on outcomes of patients undergoing endourological procedures for urolithiasis
Authors: Sharma Anil , Sindwani Gaurav , Arora Vinod , Bhardwaj Ankit 
Published: February 2022

Abstract

Objectives:
This study is aimed to determine the impact of liver disease severity on the outcome of patients undergoing endourological procedures for urolithiasis, and to understand the factors that are helpful in improving the outcome.

Materials and methods:
We retrospectively analyzed the records of patients with chronic liver disease who underwent endourological procedures between January 2014 and February 2020. Inpatient records and charts were assessed for age, sex, height, weight, body mass index, model for end-stage liver disease (MELD) score, Child-Turcotte-Pugh score, type of procedure and anesthesia, intensive care unit (ICU) stay, duration of hospitalization, number, size, and position of stones, and postoperative complications such as hematuria, sepsis, and secondary procedures. Data are presented as mean ± standard deviation or frequency. The chi-square test was applied to determine the exact association between categorical data and Student t-test or Mann-Whitney U test as appropriate for continuous data. Statistical significance was set at p < 0.05.

Results:
Hospital and ICU stay as well as administration of different blood products were significantly longer in the Child C than in the Child A and B categories (p < 0.001). Two patients in the Child C category died, while 3 left the hospital against medical advice. The duration of ICU stay and blood products administered increased with augmenting MELD scores. The durations of hospitalization and blood product administration were significantly higher in patients with an MELD score ≥20 than in the group with MELD score <20.

Conclusions:
Hospital and ICU stay and blood product administration were significantly higher in Child C than in Child A and B class patients. Hospitalization duration and blood product administration were significantly higher in patients with an MELD score ≥20.
Unsupervised encoding selection through ensemble pruning for biomedical classification
Authors: Spänig Sebastian , Michel Alexander , Heider Dominik 
Published: February 2022

AbstractBackgroundOwing to the rising levels of multi-resistant pathogens, antimicrobial peptides, an alternative strategy to classic antibiotics, got more attention. A crucial part is thereby the costly identification and validation. With the ever-growing amount of annotated peptides, researchers leverage artificial intelligence to circumvent the cumbersome, wet-lab-based identification and automate the detection of promising candidates. However, the prediction of a peptide’s function is not limited to antimicrobial efficiency. To date, multiple studies successfully classified additional properties, e.g., antiviral or cell-penetrating effects. In this light, ensemble classifiers are employed aiming to further improve the prediction. Although we recently presented a workflow to significantly diminish the initial encoding choice, an entire unsupervised encoding selection, considering various machine learning models, is still lacking.ResultsWe developed a workflow, automatically selecting encodings and generating classifier ensembles by employing sophisticated pruning methods. We observed that the Pareto frontier pruning is a good method to create encoding ensembles for the datasets at hand. In addition, encodings combined with the Decision Tree classifier as the base model are often superior. However, our results also demonstrate that none of the ensemble building techniques is outstanding for all datasets.ConclusionThe workflow conducts multiple pruning methods to evaluate ensemble classifiers composed from a wide range of peptide encodings and base models. Consequently, researchers can use the workflow for unsupervised encoding selection and ensemble creation. Ultimately, the extensible workflow can be used as a plugin for the PEPTIDE REACToR, further establishing it as a versatile tool in the domain.