bluuebunny/crossref_metadata_2025_split huggingface dataset:
Health Behavior Differences Between Male and Female U.S. Military Personnel by Sexual Orientation: The Importance of Disaggregating Lesbian, Gay, and Bisexual Groups
Authors: Jeffery Diana D , Beymer Matthew R , Mattiko Mark J , Shell Donald 
Published: December 2020

ABSTRACT

Introduction
The aims of the study are to identify health-related behaviors associated with sexual orientation among active duty military personnel and to compare those behaviors when lesbian, gay, and bisexual (LGB) groups are aggregated and disaggregated.

Materials and Methods
We used public data from the 2015 Health-Related Behavior Survey of Active Duty Military Personnel. Binomial logistic regression analyses were used to examine differences between and within heterosexual, same-sex, and bisexual groups as predicted by the following correlates: demographic characteristics, physical activity, substance use, probable mood disorders, unwanted sexual contact, physical abuse, suicidal behaviors, and sexually transmitted infection (STI).

Results
In univariate analyses, rates of lifetime unwanted sexual contact and lifetime suicidal ideation were significantly higher for bisexual females compared to other groups. The results of regression analyses differed depending on whether LGB groups were aggregated or disaggregated. Aggregated LGB versus heterosexual model found significant differences with respect to unwanted sexual contact, lifetime suicide attempt, STI, smoking, and marijuana use. Disaggregated models found different patterns of significant correlates, e.g., correlates comparing gays to heterosexual males were STI, sexual contact, lifetime suicide attempt, and age; correlates comparing lesbians to heterosexual females were heavy drinking, probable post-traumatic stress disorder, ever used marijuana, lifetime suicide attempt, lifetime physical abuse, and smoking.

Conclusion
The findings are consistent with those of previous research showing highest risk for suicidal behaviors and substance abuse among bisexual individuals. We recommend that future studies and clinical care consider LGB sexual identities as heterogeneous groups; otherwise, risks for adverse health behaviors may be overlooked.
X-ray Dips in AGN and Microquasars – Collapse Timescales of Inner Accretion Disc
Authors: Shende Mayur B , Chauhan Prashali , Subramanian Prasad 
Published: December 2020

Abstract
The temporal behaviour of X-rays from some AGN and microquasars is thought to arise from the rapid collapse of the hot, inner parts of their accretion discs. The collapse can occur over the radial infall timescale of the inner accretion disc. However, estimates of this timescale are hindered by a lack of knowledge of the operative viscosity in the collisionless plasma comprising the inner disc. We use published simulation results for cosmic ray diffusion through turbulent magnetic fields to arrive at a viscosity prescription appropriate to hot accretion discs. We construct simplified disc models using this viscosity prescription and estimate disc collapse timescales for 3C 120, 3C 111, and GRS 1915+105. The Shakura-Sunyaev α parameter resulting from our model ranges from 0.02 to 0.08. Our inner disc collapse timescale estimates agree well with those of the observed X-ray dips. We find that the collapse timescale is most sensitive to the outer radius of the hot accretion disc.
The distribution and properties of DLAs at z ≤ 2 in the EAGLE simulations
Authors: Garratt-Smithson Lilian , Power Chris , Lagos Claudia del P , Stevens Adam R H , Allison James R , Sadler Elaine M 
Published: December 2020

ABSTRACT
Determining the spatial distribution and intrinsic physical properties of neutral hydrogen on cosmological scales is one of the key goals of next-generation radio surveys. We use the EAGLE galaxy formation simulations to assess the properties of damped Lyman α absorbers (DLAs) that are associated with galaxies and their underlying dark matter haloes between 0 ≤ z ≤ 2. We find that the covering fraction of DLAs increases at higher redshift; a significant fraction of neutral atomic hydrogen (H i) resides in the outskirts of galaxies with stellar mass ≥1010 M⊙; and the covering fraction of DLAs in the circumgalactic medium (CGM) is enhanced relative to that of the interstellar medium (ISM) with increasing halo mass. Moreover, we find that the mean density of the H i in galaxies increases with increasing stellar mass, while the DLAs in high- and low-halo mass systems have higher column densities than those in galaxies with intermediate halo masses (∼1012 M⊙ at z = 0). These high-impact CGM DLAs in high-stellar mass systems tend to be metal poor, likely tracing smooth accretion. Overall, our results point to the CGM playing an important role in DLA studies at high redshift (z ≥ 1). However, their properties are impacted both by numerical resolution and the detailed feedback prescriptions employed in cosmological simulations, particularly that of active galactic nuclei.
Silver in biology and medicine: opportunities for metallomics researchers
Authors: Betts Harley D , Whitehead Carole , Harris Hugh H 
Published: December 2020

AbstractThe antibacterial properties of silver have been known for centuries and the threat of antibiotic-resistant bacteria has led to renewed focus on the noble metal. Silver is now commonly included in a range of household and medical items to imbue them with bactericidal properties. Despite this, the chemical fate of the metal in biological systems is poorly understood. Silver(I) is a soft metal with high affinity for soft donor atoms and displays much similarity to the chemistry of Cu(I). In bacteria, interaction of silver with the cell wall/membrane, DNA, and proteins and enzymes can lead to cell death. Additionally, the intracellular generation of reactive oxygen species by silver is posited to be a significant antimicrobial action. While the antibacterial action of silver is well known, bacteria found in silver mines display resistance against it through use of a protein ensemble thought to have been specifically developed for the metal, highlighting the need for judicious use. In mammals, ∼10–20% of ingested silver is retained by the body and thought to predominantly localize in the liver or kidneys. Chronic exposure can result in argyria, a condition characterized by blue staining of the skin, resulting from subdermal deposition of silver [as Ag(0)/sulfides], but more insidious side effects, such as inclusions in the brain, seizures, liver/kidney damage, and immunosuppression, have also been reported. Here, we hope to highlight the current understanding of the biological chemistry of silver and the necessity for continued study of these systems to fill existing gaps in knowledge.
The importance of infants’ lipid intake in human milk research
Authors: George Alexandra D , Gay Melvin C L , Wlodek Mary E , Geddes Donna T 
Published: December 2020

AbstractHuman milk lipids are among the many nutrients delivered to the infant, providing &gt;50% of the infant’s calorie intake. These lipids are highly complex and variable, and bioactive, contributing to infant growth, development, and health. The lipid concentration of milk samples is often measured in human cohorts; however, few studies measure infant intake of milk. Intake is important because it considers the variability of both lipid concentration and infants’ consumed volume of milk. Measurement of infants’ lipid intake in exclusively breastfeeding infants requires 3 main considerations: human milk sampling protocol (ie, the collection of representative samples); measurement of the infant milk intake, because volume varies widely between infants; and appropriate analytical laboratory methods. The purpose of this review was to provide an overview of existing methodology and demonstrate the importance of measuring infants’ lipid intake to understand the impact that human milk lipids have on infant outcomes.
Robotic Resection of a Nerve Sheath Tumor Via a Retroperitoneal Approach
Authors: Rapoport Benjamin I , Sze Christina , Chen Xi , Hussain Ibrahim , Bilsky Mark H , Laufer Ilya , Goh Alvin C , Barzilai Ori 
Published: December 2020

Abstract

BACKGROUND
Resection of large nerve sheath tumors in the lumbar spine using minimally invasive approaches is challenging, as approaches to tumors in this region may require facetectomy or partial resection of adjacent ribs for access to the involved neuroforamen and instrumentation across the involved joint to prevent subsequent kyphotic deformity.

OBJECTIVE
To describe a robot-assisted retroperitoneal approach for resection of a lumbar nerve sheath tumor, obviating the need for facetectomy and instrumentation. The operation is described, together with intraoperative images and an annotated video, in the context of a schwannoma arising from the right L1 root.

METHODS
The operation was performed by a urologic surgeon and a neurosurgeon. The patient was placed in lateral position, and the da Vinci Xi robot was used for retroperitoneal access via 5 ports along the right flank. Ultrasound was used to localize the tumor within the psoas. The tumor capsule was defined and released. Encountered nerves were stimulated, allowing small sensory nerves to be identified and safely divided. The tumor was traced into the right L1-L2 neuroforamen and removed.

RESULTS
Complete en bloc resection of the tumor was achieved, including the paraspinal and foraminal components, without any removal of bone and without violation of the dura.

CONCLUSION
In selected patients, a robot-assisted retroperitoneal approach represents a minimally invasive alternative to traditional approaches for resection of lumbar nerve sheath tumors. This approach obviates the need for bone removal and instrumented spinal fusion. Interdisciplinary collaboration, as well as use of adjunctive technologies, including intraoperative ultrasound and neurophysiologic monitoring, is advised.
Pain Experiences of Adults With Sickle Cell Disease and Hematopoietic Stem Cell Transplantation: A Qualitative Study
Authors: Abu Al Hamayel Nebras , Waldfogel Julie M , Hannum Susan M , Brodsky Robert A , Bolaños-Meade Javier , Gamper Christopher J , Jones Richard J , Dy Sydney M 
Published: December 2020

Abstract

Objective
Despite increasing use of hematopoietic stem cell transplantation (HSCT) for adults with sickle cell disease (SCD), little is known about pain management experiences throughout this process. The objective of this study was to explore patients’ experiences with pain and pain management during and after HSCT for SCD.

Methods
We conducted a qualitative interview study with 10 patients who underwent HSCT for SCD. We transcribed interviews verbatim and inductively identified codes. We used thematic analysis alongside a constant comparative method to develop and refine a codebook that aided in the identification of themes.

Results
Four key themes emerged. (1) The pain trajectory: patients described a fluctuating course of pain during HSCT, which often extended long afterwards and impacted all aspects of life, particularly affected by pre-HSCT experiences; (2) The role of opioids—a double-edged sword: patients described opioids as reducing pain but insufficiently to balance significant adverse effects and burden; (3) Patient-centered decision making in pain management: patients described insufficient agency in decisions about opioid use and weaning; and (4) Consequences of health-related stigma: patients described experiences with stigma, mainly related to opioid use and weaning, as similar to pre-HSCT.

Conclusions
From the perspective of patients who have undergone HSCT for SCD, clinicians should use a patient-centered approach, integrating non-opioid approaches into pain management, particularly psychosocial support. As transplant for SCD becomes increasingly available, incorporating patient perspectives may improve health care delivery and overall patient experiences.
The Price of Law: The Case of the Eurozone Collective Action Clauses
Authors: Carletti Elena , Colla Paolo , Gulati Mitu , Ongena Steven 
Published: December 2020

Abstract
We analyze the price effect of the introduction of collective action clauses (CACs) in newly issued sovereign bonds of eurozone countries as of January 1, 2013. By allowing a majority of creditors to modify payment obligations, such clauses reduce the likelihood of holdouts, while facilitating strategic default by the sovereign. We find that CAC bonds trade in the secondary market at lower yields than otherwise similar no-CAC bonds. The yield differential widens in countries with worse ratings and in those with stronger legal systems, especially if of midrange quality. Hence, CACs are seen as pro- rather than anticreditor provisions.
Animal models of narcolepsy and the hypocretin/orexin system: Past, present, and future
Authors: Tisdale Ryan K , Yamanaka Akihiro , Kilduff Thomas S 
Published: December 2020

Abstract
Animal models have advanced not only our understanding of the etiology and phenotype of the sleep disorder narcolepsy but have also informed sleep/wake regulation more generally. The identification of an inheritable narcolepsy phenotype in dogs in the 1970s allowed the establishment of a breeding colony at Stanford University, resulting in studies that provided the first insights into the genetics and neurotransmitter systems that underlie cataplexy and rapid-eye movement sleep atonia. Although the discovery of the hypocretin/orexin neuropeptides in 1998 initially seemed unrelated to sleep/wake control, the description of the phenotype of the prepro-orexin knockout (KO) mouse as strongly resembling cataplexy, the pathognomonic symptom of narcolepsy, along with identification of a mutation in hypocretin receptor-2 gene as the source of canine narcolepsy, unequivocally established the relationship between this system and narcolepsy. The subsequent discovery of hypocretin neuron degeneration in human narcolepsy demystified a disorder whose etiology had been unknown since its initial description 120 years earlier. These breakthroughs prompted the development of numerous other animal models that have allowed manipulation of the hypocretin/orexin system, thereby advancing our understanding of sleep/wake circuitry. While animal models have greatly informed understanding of this fascinating disorder and the role of the hypocretin/orexin system in sleep/wake control, the question of why these neurons degenerate in human narcolepsy is only beginning to be understood. The development of new immune-mediated narcolepsy models are likely to further inform the etiology of this sleep disorder and animal models will undoubtedly play a critical role in the development of novel narcolepsy therapeutics.
Building a biofoundry
Authors: Holowko Maciej B , Frow Emma K , Reid Janet C , Rourke Michelle , Vickers Claudia E 
Published: December 2020

Abstract
A biofoundry provides automation and analytics infrastructure to support the engineering of biological systems. It allows scientists to perform synthetic biology and aligned experimentation on a high-throughput scale, massively increasing the solution space that can be examined for any given problem or question. However, establishing a biofoundry is a challenging undertaking, with numerous technical and operational considerations that must be addressed. Using collated learnings, here we outline several considerations that should be addressed prior to and during establishment. These include drivers for establishment, institutional models, funding and revenue models, personnel, hardware and software, data management, interoperability, client engagement and biosecurity issues. The high cost of establishment and operation means that developing a long-term business model for biofoundry sustainability in the context of funding frameworks, actual and potential client base, and costing structure is critical. Moreover, since biofoundries are leading a conceptual shift in experimental design for bioengineering, sustained outreach and engagement with the research community are needed to grow the client base. Recognition of the significant, long-term financial investment required and an understanding of the complexities of operationalization is critical for a sustainable biofoundry venture. To ensure state-of-the-art technology is integrated into planning, extensive engagement with existing facilities and community groups, such as the Global Biofoundries Alliance, is recommended.
Medicine donation programmes supporting the global drive to end the burden of neglected tropical diseases
Authors: Bradley Mark , Taylor Rachel , Jacobson Julie , Guex Morgane , Hopkins Adrian , Jensen Julie , Leonard Lynn , Waltz Johannes , Kuykens Luc , Sow Papa Salif , Madeja Ulrich-Dietmar , Hida Takayuki , Ole-Moiyoi Kileken , King Jonathan , Argaw Daniel , Mohamed Jamsheed , Polo Maria Rebollo , Yajima Aya , Ottesen Eric 
Published: December 2020

Abstract
Neglected tropical diseases (NTDs) are targeted for global control or elimination. Recognising that the populations most in need of medicines to target NTDs are those least able to support and sustain them financially, the pharmaceutical industry created mechanisms for donating medicines and expertise to affected countries through partnerships with the WHO, development agencies, non-governmental organisations and philanthropic donors. In the last 30 y, companies have established programmes to donate 17 different medicines to overcome the burden of NTDs. Billions of tablets, capsules, intravenous and oral solutions have been donated, along with the manufacturing, supply chains and research necessary to support these efforts. Industry engagement has stimulated other donors to support NTDs with funds and oversight so that the ‘heath benefit’ return on investment in these programmes is truly a ‘best value in public health’. Many current donations are ‘open-ended’, promising support as long as necessary to achieve defined health targets. Extraordinary global health advances have been made in filariasis, onchocerciasis, trachoma, trypanosomiasis, leishmaniasis, schistosomiasis, intestinal parasites and others; and these advances are taking place in the context of strengthening health systems and meeting the global development goals espoused by the WHO. The pharmaceutical manufacturers, already strong collaborators in initiating or supporting these disease-targeted programmes, have committed to continuing their partnership roles in striving to meet the targets of the WHO's new NTD roadmap to 2030.
Quantitative differences between intra-host HCV populations from persons with recently established and persistent infections
Authors: Icer Baykal Pelin B , Lara James , Khudyakov Yury , Zelikovsky Alex , Skums Pavel 
Published: December 2020

Abstract
Detection of incident hepatitis C virus (HCV) infections is crucial for identification of outbreaks and development of public health interventions. However, there is no single diagnostic assay for distinguishing recent and persistent HCV infections. HCV exists in each infected host as a heterogeneous population of genomic variants, whose evolutionary dynamics remain incompletely understood. Genetic analysis of such viral populations can be applied to the detection of incident HCV infections and used to understand intra-host viral evolution. We studied intra-host HCV populations sampled using next-generation sequencing from 98 recently and 256 persistently infected individuals. Genetic structure of the populations was evaluated using 245,878 viral sequences from these individuals and a set of selected features measuring their diversity, topological structure, complexity, strength of selection, epistasis, evolutionary dynamics, and physico-chemical properties. Distributions of the viral population features differ significantly between recent and persistent infections. A general increase in viral genetic diversity from recent to persistent infections is frequently accompanied by decline in genomic complexity and increase in structuredness of the HCV population, likely reflecting a high level of intra-host adaptation at later stages of infection. Using these findings, we developed a machine learning classifier for the infection staging, which yielded a detection accuracy of 95.22 per cent, thus providing a higher accuracy than other genomic-based models. The detection of a strong association between several HCV genetic factors and stages of infection suggests that intra-host HCV population develops in a complex but regular and predictable manner in the course of infection. The proposed models may serve as a foundation of cyber-molecular assays for staging infection, which could potentially complement and/or substitute standard laboratory assays.
An Algorithm for Classifying Patients Most Likely to Develop Severe Coronavirus Disease 2019 Illness
Authors: Kattan Michael W. , Ji Xinge , Milinovich Alex , Adegboye Janet , Duggal Abhijit , Dweik Raed , Khouli Hassan , Gordon Steve , Young James B. , Jehi Lara 
Published: December 2020

Objectives:
To develop an algorithm that predicts an individualized risk of severe coronavirus disease 2019 illness (i.e., ICU admission or death) upon testing positive for coronavirus disease 2019.

Design:
A retrospective cohort study.

Setting:
Cleveland Clinic Health System.

Patients:
Those hospitalized with coronavirus disease 2019 between March 8, 2020, and July 13, 2020.

Interventions:
A temporal coronavirus disease 2019 test positive cut point of June 1 was used to separate the development from validation cohorts. Fine and Gray competing risk regression modeling was performed.

Measurements and Main Results:
The development set contained 4,520 patients who tested positive for coronavirus disease 2019 between March 8, 2020, and May 31, 2020. The validation set contained 3,150 patients who tested positive between June 1 and July 13. Approximately 9% of patients were admitted to the ICU or died of coronavirus disease 2019 within 2 weeks of testing positive. A prediction cut point of 15% was proposed. Those who exceed the cutoff have a 21% chance of future severe coronavirus disease 2019, whereas those who do not have a 96% chance of avoiding the severe coronavirus disease 2019. In addition, application of this decision rule identifies 89% of the population at the very low risk of severe coronavirus disease 2019 (< 4%).

Conclusions:
We have developed and internally validated an algorithm to assess whether someone is at high risk of admission to the ICU or dying from coronavirus disease 2019, should he or she test positive for coronavirus disease 2019. This risk should be a factor in determining resource allocation, protection from less safe working conditions, and prioritization for vaccination.