bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quasi-simultaneous observations of radio and X-ray variability in three radio-quiet Seyfert galaxies
Authors: Chen Sina , Laor Ari , Behar Ehud 
Published: July 2022

ABSTRACT
Radio variability in some radio-quiet (RQ) active galactic nuclei suggests emission from regions close to the central engine, possibly the outer accretion disc corona. If the origins of the radio and the X-ray emission are physically related, their emission may be temporarily correlated, possibly with some time delays. We present the results of quasi-simultaneous radio and X-ray monitoring of three RQ Seyfert galaxies, Mrk 110, Mrk 766, and NGC 4593, carried out with the Very Large Array at 8.5 GHz over a period of about 300 d, and with the Rossi X-ray Timing Explorer at 2–10 keV over a period of about 2000 d. The radio core variability is likely detected in the highest resolution (A configuration) observations of Mrk 110 and NGC 4593, with a fractional variability amplitude of 6.3 per cent and 9.5 per cent, respectively. A cross-correlation analysis suggests an apparently strong (Pearson r = −0.89) and highly significant correlation (p = 1 × 10−6) in Mrk 110, with the radio lagging the X-ray by 56 d. However, a further analysis of the r values distribution for physically unrelated long time delays reveals that this correlation is not significant. This occurs since the Pearson correlation assumes white noise, while both the X-ray and the radio light curves follow red noise, which dramatically increases the chance, by a factor of ∼103, to get extremely high r values in uncorrelated data sets. A significantly longer radio monitoring with a higher sampling rate, preferably with a high-resolution fixed radio array, is required in order to reliably detect a delay.
Epidemiologic Changes in Pediatric Fractures Presenting to Emergency Departments During the COVID-19 Pandemic
Authors: Markiewitz Nathan D. , Garcia-Munoz John , Lilley Brendan M. , Oduwole Samuel , Shah Apurva S. , Williams Brendan A. 
Published: July 2022

Background:
Fractures are a common pediatric injury. The coronavirus disease 2019 (COVID-19) pandemic resulted in significant changes in daily life that could impact the incidence of pediatric fractures. The purpose of this study was to compare the incidence of pediatric fractures in the United States during the COVID-19 pandemic to previous seasonally adjusted fracture incidence rates using the National Electronic Injury Surveillance System (NEISS) database and the American Community Survey (ACS).

Methods:
The NEISS database was queried from 2016 to 2020 for fractures occurring in pediatric (0 to 17 y) patients. ACS population data allowed for the estimation of fracture incidence per 1000 person-years. Using a quasiexperimental interrupted time series design, Poisson regression models were constructed to test the overall and differential impact of COVID-19 on monthly fracture rate by age, sex, fracture site, injury location, and disposition.

Results:
Our sample consisted of 121,803 cases (mean age 9.6±4.6 y, 36.1% female) representing 2,959,421±372,337 fractures nationally. We identified a stable 27% decrease in fractures per month after February 2020 [risk difference (RD) per 1000 youth years=−2.3; 95% confidence interval: −2.98, −1.57]). We found significant effect modification by age, fracture site and injury location (P<0.05). The fracture incidence among children 5 years or older significantly decreased, as well as the incidence of fractures at school [RD=−0.96 (−1.09, −0.84)] and during sports [risk difference=−1.55 (−1.77, −1.32)]. There was also a trend toward a reduction in upper extremity fractures and fractures requiring admission.

Conclusion:
A nationally representative injury database demonstrated a 27% decline in monthly pediatric fractures during the COVID-19 pandemic that persisted into the latter half of 2020. These trends appeared most attributable to a reduction in fractures discharged home and upper extremity fractures among older children sustained at school and in sports. Our findings provide unique insight into the epidemiology of pediatric fractures and demonstrate a baseline need for musculoskeletal care among young children even in the setting of a national shutdown.

Level of Evidence:
Level II—retrospective prognostic study.
Serum total bilirubin and new-onset hypertension in perimenopausal women: a cross-sectional study
Authors: He Zhen , Zhang Shengchao , Thio Chris , Wang Yue , Li Min , Wu Yan , Lin Rongqing , Liu Zhixi , Snieder Harold , Zhang Qingying 
Published: July 2022

Objective
Previous studies have shown negative associations between total bilirubin (TBIL) and hypertension. However, the association of TBIL with new-onset hypertension in perimenopausal women is unknown.

Methods
A total of 196 perimenopausal women were included in this cross-sectional study of which 85 had new-onset hypertension. All participants underwent 24-hour ambulatory blood pressure monitoring and a clinical assessment including anthropometrics. Sociodemographic, lifestyle, and menopausal symptoms (modified Kupperman Index [mKI]) were measured by questionnaire. A fasting blood sample was taken to measure a wide range of biomarkers and hormone levels. Restricted cubic spline regression was used to investigate potential nonlinearity. Multivariable logistic and robust linear regression analyses adjusting for minimal sufficient adjustment sets based on directed acyclic graphs were performed to test the association of TBIL with hypertension/blood pressure. We examined mKI-stratified analyses and a TBIL-mKI interaction term to explore potential effect modification by number of menopausal symptoms.

Results
Hypertensive women had significantly lower TBIL levels than did normotensive women (11.15 vs 12.55 μmol/L, P = 0.046). Univariate restricted cubic spline regression showed nonsignificant nonlinearity (P value for nonlinearity, 0.339). Multivariable regression analyses adjusted for minimal sufficient adjustment sets revealed that higher TBIL level was associated with lower odds of hypertension (odds ratio, 0.91 per μmol/L TBIL; 95% confidence interval [CI], 0.84-0.98; P = 0.019). Total bilirubin showed a significant inverse association with average 24-hour diastolic blood pressure (β = −0.36 mm Hg per μmol/L TBIL; 95% CI, −0.62 to −0.10; P = 0.008) but not with 24-hour systolic blood pressure (β = −0.37 mm Hg per μmol/L TBIL; 95% CI, −0.79 to 0.06; P = 0.090). Stratified analyses suggested stronger inverse associations of TBIL with hypertension and 24-hour blood pressure in women with fewer menopausal symptoms (mKI ≤10), although the TBIL-mKI interaction was not significant.

Conclusions
In perimenopause, TBIL was inversely associated with diastolic blood pressure and new-onset hypertension, diagnosed using 24-hour ambulatory blood pressure monitoring.
Malignant Self-Regard: Overview and Future Directions
Authors: Huprich Steven K. , Malone Brady C. 
Published: July 2022

Abstract
Malignant self-regard (MSR) is a self-representation that encompasses the shared features of depressive personality disorder, masochistic/self-defeating personality disorder, depressive-masochistic personality, and vulnerable narcissism. In this review we begin by describing the construct’s historical precursors, which begin in early psychoanalytic/dynamic theory, and then trace its development across iterations of the Diagnostic and Statistical Manual of Mental Disorders. Special attention is paid to differentiating MSR from vulnerable narcissism. We then consider MSR’s place within transdiagnostic, transtheoretical, and dimensional models of personality pathology. We focus heavily on MSR’s impact on various personality systems (e.g., thought and affect systems) and also on overall personality functioning. The empirical research on MSR in relation to these systems is thoroughly reviewed and largely supports its psychometric properties and clinical significance. We suggest that MSR may map onto the distress subfactor in the hierarchical taxonomy of psychopathology (HiTOP) and that MSR seems to occupy the shared internalizing space across the neurotic and borderline level of personality organization in Kernberg’s model of personality disorders. We also identify four major directions for future research: the possible benefits of self-defeating tendencies that involve pathological narcissism and self-esteem; MSR’s relationship to overall health and well-being; depressive states and MSR severity; and how MSR fits within the Alternative Model for Personality Disorders and the personality disorder framework of the International Classification of Diseases.
Towards effective data sharing in ophthalmology: data standardization and data privacy
Authors: Halfpenny William , Baxter Sally L. 
Published: July 2022

Purpose of the review
The purpose of this review is to provide an overview of updates in data standardization and data privacy in ophthalmology. These topics represent two key aspects of medical information sharing and are important knowledge areas given trends in data-driven healthcare.

Recent findings
Standardization and privacy can be seen as complementary aspects that pertain to data sharing. Standardization promotes the ease and efficacy through which data is shared. Privacy considerations ensure that data sharing is appropriate and sufficiently controlled. There is active development in both areas, including government regulations and common data models to advance standardization, and application of technologies such as blockchain and synthetic data to help tackle privacy issues. These advancements have seen use in ophthalmology, but there are areas where further work is required.

Summary
Information sharing is fundamental to both research and care delivery, and standardization/privacy are key constituent considerations. Therefore, widespread engagement with, and development of, data standardization and privacy ecosystems stand to offer great benefit to ophthalmology.
A Novel Mobilization Criteria Checklist 12 to 24 Hours After Intravenous Thrombolysis in Acute Ischemic Stroke
Authors: Maqueda Charity E. , Perme Christiane 
Published: July 2022

Purpose:
This study describes the development and utilization of a novel mobilization criteria checklist that can guide clinical decision making to safely initiate very early mobilization for patients with acute ischemic stroke within 12 to 24 hours after intravenous (IV) thrombolysis.

Methods:
The evidence was examined, and risk factors for hemorrhagic transformation and considerations for initiating or terminating mobility within the first 12 to 24 hours were identified. The information was formatted into a mobilization criteria checklist for use in a case study 12 to 24 hours after tissue plasminogen activator (tPA), an IV thrombolytic, was given for acute ischemic stroke at a certified comprehensive stroke center.

Outcomes:
The tool was an additive to clinical practice and provided a clinical guide to optimize patient safety for an established institutional practice.

Discussion:
A mobilization criteria checklist is a helpful tool to screen for serious risk factors of hemorrhagic transformation in the first 24 hours after IV thrombolysis for acute ischemic stroke. With further development, the foundational concepts may guide future research to establish clinical practice guidelines and a standard of care to optimize the selection of patients most appropriate for mobility within 12 to 24 hours.
“Know Thy Self: Natural and Adapted Behavior Styles of General and Plastic Surgery Residents”
Authors: Meade Anna , Chang Victor , Duque Sofia , Farmer Suzanne J. , Zhang Andrew Y. 
Published: July 2022

Background:
Resident miscommunication and fractured team dynamics are associated with decreased quality of patient care. Interventions to improve resident communication and team coordination include behavioral assessments, which promote leadership and communication skills.

Methods:
In this retrospective review, general and plastic surgery residents voluntarily completed the DISC behavioral assessment. This validated tool is composed of four behavioral categories: dominance (D), influence (I), steadiness (S) and compliance (C). It is used to classify an individual’s natural and adapted behavior styles. Results were anonymously collected and analyzed using Pearson’s Chi Square test.

Results:
Of 94 surgery residents, 84 completed the survey (89%); 43 men and 41 women. Surgery residents combined had a significantly higher percentage of natural “C’s” compared to the general population (23% vs 14%; p=0.02). The majority of surgery residents adapted to “C” in the work environment (39 vs. 36%; p=0.85). There was a significant difference in male and female general surgery adapted “D” profiles (4% vs 23%; p=0.05).

Conclusion:
The pressure of accuracy in surgical residency attracts naturally “C” individuals. Residents without natural “C” behavioral profile tend to adapt to the “C” profile. The ability to recognize behavior traits is crucial in surgical residency. Developing a better understanding of one’s own behavior will provide insight into personal risk factors for miscommunication and inefficient team dynamics.

Summary:
This study examined behavioral trends among plastic surgery residents, general surgery residents, and the general public using the DISC behavioral assessment. These trends offer insight into the physician-patient relationship, specialty differences, and gender differences.
Qualitative analysis of the implementation of a hospital room service in a large metropolitan hospital: foundations for transformation
Authors: Wilkinson Shelley A. , Bell Jack J. , Neaves Bianca , McCray Sally J. , Campbell Katrina 
Published: July 2022

Abstract

Introduction and aims:
Room service is a hospital meal service model with demonstrated improved nutrition intake, reduced wastage and cost benefits in some settings compared with traditional models. However, uptake across public hospital settings appears low; the underlying reasons require exploration. In 2019, room service was introduced in a Queensland Hospital and Health Service site. The aim of this article is to identify the barriers and enablers to implementing room service to provide recommendations for future implementation of this model.

Methods:
The current qualitative descriptive study utilized semistructured interviews with project members and key stakeholders involved in implementation of the room service meal delivery model at the Prince Charles Hospital (Queensland, Australia). A convenience sample of participants were recruited. Interviews explored project experiences from commencement to completion, barriers and enablers to implementation, strategies to overcome challenges and recommendations for implementation at other sites. Interviews were coded to identify themes and subthemes.

Results:
Nine participants were interviewed. Key themes with associated subthemes were (1) foundations of transformation, (2) navigating implementation and (3) embedding sustainable practices.

Conclusion:
The current study adds rich information to understand factors that support the implementation of a room service model in a large public hospital. Future implementation of room service should not only consider measuring quantifiable outcomes, but also the importance of qualitative descriptive studies surveying project members and key stakeholders to further explore experiences, barriers and enablers to implementation and develop strategies to overcome challenges to assist further sites implement this model.
Behavioral Evidence for Enhanced Olfactory and Trigeminal Perception in Congenitally Deaf Individuals
Authors: Landry Catherine , Nazar Rim , Simon Marie , Genest François , Giguère Fanny Lécuyer , Frasnelli Johannes , Lepore Franco 
Published: July 2022

AbstractSensory deprivation, particularly hearing loss, is an excellent model to study neuroplasticity in the human brain and the adaptive behaviors that support the daily lives of deprived individuals. In adaptation to their hearing loss, deaf individuals rely on their other intact senses. Visual and tactile abilities are enhanced in deafness, but few studies have evaluated the olfactory function. This study aimed to compare the impact of congenital deafness on olfactory capacities using psychophysical tasks. Methodological issues raised in previous studies, such as homogeneous onset of deafness and cognitive function assessment, were considered. Eleven individuals with bilateral severe-to-profound deafness since birth were compared to 11 hearing non-signers similar in age (age range = 20-51 years old) and sex (7 women). The deaf subjects were assessed using various standardized neuropsychological tests to ascertain typical cognition. Olfactory functions were evaluated using the Sniffin’ Sticks battery test, which measures olfactory detection threshold, odor discrimination, and odor identification. Further, accuracy and response time were examined for the identification and localization of two odors to disentangle olfactory sensitivity from sensitivity in the trigeminal system. The Sniffin’ Sticks test demonstrated superior performances in the deaf participants to discriminate and identify odors. In line with this, they also showed higher sensitivity when both identifying and localizing odors. These findings suggest that congenital deafness is associated with superior performance in higher-level olfactory processing and increased sensitivity in the trigeminal system.
The uncoupling of all-cause excess mortality from Covid-19 cases and associated hospitalizations in late winter and spring of 2022 in a highly vaccinated state
Authors: Faust Jeremy Samuel , Renton Benjamin , Chen Alexander Junxiang , Du Chengan , Liang Chenxue , Li Shu-Xia , Lin Zhenqiu , Krumholz Harlan M. 
Published: July 2022

AbstractIntroductionSince March 2020, all-cause excess mortality—the number of all-cause deaths exceeding the baseline number of expected deaths—has been observed in waves coinciding with Covid-19 outbreaks in the United States. We recently described high levels of excess mortality in Massachusetts during the initial 8-week Omicron wave. However, whether excess mortality continued after that period—during which an outbreak of Omicron subvariants occurred—is unknown.MethodsWe applied seasonal autoregressive integrated moving averages to five years of pre-pandemic data provided by the Massachusetts Registry of Vital Records and Statistics (MRVRS) to project the weekly populations and expected deaths for the pandemic period. Observed deaths during the pandemic were also provided by MRVRS and are >99% complete for all study weeks.ResultsDuring the 18-week Omicron subvariant period (the week ending February 27, 2022, through June 26, 2022) the incidence of all-cause excess mortality was 0.1 per 100,000-person weeks, corresponding to 148 excess deaths (95%. CI -907 to 1153), representing a 97.1% decrease from the initial Omicron period (during which all-cause excess mortality was 4.0 per 100,000-person-weeks), and a 91.9% reduction from the Delta and Delta-Omicron transition period (during which all-cause excess mortality was 1.5 per 100,000-person-weeks), despite >226,000 reported new Covid-19 cases during the subvariant/spring period. However, Covid-19-associated hospitalizations were observed during the subvariant/spring 2022 period.ConclusionIn a highly vaccinated state with a recent wave of SARS-CoV-2, all-cause excess mortality was uncoupled from new case counts, indicating the possibility of temporary protection from the most severe outcomes related to Covid-19 among high-risk individuals. However, given the possibility of waning immunity and the emerging of new variants, continued monitoring is warranted.
An accessible infrastructure for artificial intelligence using a docker-based Jupyterlab in Galaxy
Authors: Kumar Anup , Cuccuru Gianmauro , Grüning Björn , Backofen Rolf 
Published: July 2022

AbstractArtificial intelligence (AI) programs that train on a large amount of data require powerful compute infrastructure. Jupyterlab notebook provides an excellent framework for developing AI programs but it needs to be hosted on a powerful infrastructure to enable AI programs to train on large data. An open-source, docker-based, and GPU-enabled jupyterlab notebook infrastructure has been developed that runs on the public compute infrastructure of Galaxy Europe for rapid prototyping and developing end-to-end AI projects. Using such a notebook, long-running AI model training programs can be executed remotely. Trained models, represented in a standard open neural network exchange (ONNX) format, and other resulting datasets are created in Galaxy. Other features include GPU support for faster training, git integration for version control, the option of creating and executing pipelines of notebooks, and the availability of multiple dashboards for monitoring compute resources. These features make the jupyterlab notebook highly suitable for creating and managing AI projects. A recent scientific publication that predicts infected regions of COVID-19 CT scan images is reproduced using multiple features of this notebook. In addition, colabfold, a faster implementation of alphafold2, can also be accessed in this notebook to predict the 3D structure of protein sequences. Jupyterlab notebook is accessible in two ways - first as an interactive Galaxy tool and second by running the underlying docker container. In both ways, long-running training can be executed on Galaxy’s compute infrastructure. The scripts to create the docker container are available under MIT license at https://github.com/anuprulez/ml-jupyter-notebook.Contactkumara@informatik.uni-freiburg.deanup.rulez@gmail.com