bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spontaneous resolution or antibiotic effectiveness? Reflection on a case of pediatric urinary tract infections caused by Enterococcus raffinosus
Authors: Zhang Mengshuang , Qin Rui , Zhang Xuzhan , GE Liping , Li Guixia , Chen Chen , Cai Xuedong 
Published: May 2024

Abstract
Enterococcus raffinosus, named by Collins et al. in 1989, is a cocci-shaped bacterium that typically appears in pairs or short chains. As a Gram-positive and non-motile bacterium, it grows at 10°C–45°C, exhibiting negative peroxidase activity [1]. It is a normal flora in the oropharynx and gastrointestinal tract of domestic cats [2] and can also be isolated from human rectal swabs [3], it belongs to the same genus Enterococcus as Enterococcus faecalis and Enterococcus faecium. Enterococcus faecalis and Enterococcus faecium constitute 90% of clinically isolated strains. However, the incidence of other enterococci, excluding E. faecalis and E. faecium, is on the rise [4]. In this case report, a patient with pediatric urinary tract infections caused by E. raffinosus was presented, and a summary of relevant literature was provided.
Do Health and Housing Attributes Motivate Residential Moves Among Older Chinese Adults? Evidence From an 8‑Year Follow‑up Study
Authors: Zhang Ziqi 
Published: May 2024

Abstract

Background and Objectives
Despite the widespread belief in aging-in-place as the preferred housing arrangement for older adults, they are increasingly embracing moving. The person–environment fit theory explains that environmental changes due to residential moves can pose health risks, discouraging older people from moving. However, it also suggests that moves may be suitable when living conditions no longer meet their physical needs. The correlation between older people’s health, housing, and their subsequent moving or staying actions in China remains underexplored.

Research Design and Methods
Using alternative operating variables of key concepts and the China Family Panel Studies 2012–2018 data sets, this study examines the effects of health and housing status on older people’s residential moves in China. The study outlines changes in health indicators and housing characteristics during multiple moves, as well as examines the relationship between the health and housing status of older adults and moving over a relatively long period of time using both regression models with lagged explanatory variables and fixed effects binary choice models.

Results
The results reveal that: (1) higher rates of subsequent moves were observed among older adults with better self-rated health, positive self-rated health changes, and no ADL impairment, but no significant associations were found between most health variables and moving; and (2) the correlation between older persons’ house ownership/type and their residential moves was significant and consistent over time, steady and lasting.

Discussion and Implications
Potential mechanisms explaining the association between specific housing types and ownership statuses on moving are discussed. The findings encourage a focus on the positive benefits of moving in later life and how to provide additional housing options for older individuals.
Barriers and enablers to a healthy lifestyle in people with infertility: a mixed-methods systematic review
Authors: Torkel Sophia , Wang Rui , Norman Robert J , Zhao Lijun , Liu Kai , Boden Dana , Xu Wentong , Moran Lisa , Cowan Stephanie 
Published: May 2024

AbstractBACKGROUNDWhile there is a recognized role of optimizing lifestyle (diet and physical activity) behaviours in the management of infertility, the best practice remains unknown and factors influencing the lifestyle of people with infertility are not well understood.OBJECTIVE AND RATIONALEThis systematic review evaluated barriers and enablers to a healthy lifestyle in people with infertility, from the perspectives of people with infertility and health professionals, in order to inform optimal behavioural change strategies.SEARCH METHODSOvid MEDLINE(R), PsycINFO, EMBASE, EBM Reviews, and CINAHL were searched from inception to 28 August 2023. Eligible studies were qualitative and quantitative primary studies that explored barriers and/or enablers to lifestyle for infertility management. Quality assessment was performed using the Centre for Evidence-Based Management Critical Appraisal of a Survey Tool and the Critical Appraisal Skills Programme Qualitative Checklist. Data were analysed by thematic analysis with themes mapped to the Capability, Opportunity, Motivation and Behaviour (COM-B) model and Theoretical Domains Framework (TDF).OUTCOMESAfter screening 12 326 abstracts and 99 full-texts, 27 studies were included (12 quantitative, 6 qualitative and 9 mixed-methods) with 22 studies of women with infertility (n = 2524), 11 studies of men with infertility (n = 1407), and 6 studies of health professionals (n = 372). We identified barriers and enablers relating to capability (e.g. strategies for behaviour change), opportunity (e.g. limited time, resources, and money), and motivation (e.g. interplay between lifestyle and emotional state). Based on the identified themes, suggested intervention components to integrate into lifestyle management of infertility include facilitating development of self-management skills to support lifestyle change (e.g. self-monitoring, action planning, and goal setting) and incorporating mental health strategies (e.g. providing information about the benefits of healthy lifestyle behaviours for mental health and encouraging patients to reframe healthy lifestyle behaviours as self-care strategies).WIDER IMPLICATIONSThe findings have identified important factors that influence lifestyle management in people with infertility and have suggested relevant intervention components to consider when designing interventions. Given the paucity of qualitative studies identified, more research is needed to further understand the complex and interacting factors that shape lifestyle during the fertility journey.
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction
Authors: Fu Sunyang , Wang Liwei , He Huan , Wen Andrew , Zong Nansu , Kumari Anamika , Liu Feifan , Zhou Sicheng , Zhang Rui , Li Chenyu , Wang Yanshan , St Sauver Jennifer , Liu Hongfang , Sohn Sunghwan 
Published: May 2024

Abstract

Background
Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic factors contributing to their occurrence, and the identification of underlying causes to refine the NLP model and improve its performance. Conducting error analysis can be complex, requiring a combination of NLP expertise and domain-specific knowledge. Due to the high heterogeneity of electronic health record (EHR) settings across different institutions, challenges may arise when attempting to standardize and reproduce the error analysis process.

Objectives
This study aims to facilitate a collaborative effort to establish common definitions and taxonomies for capturing diverse error types, fostering community consensus on error analysis for clinical concept extraction tasks.

Materials and Methods
We iteratively developed and evaluated an error taxonomy based on existing literature, standards, real-world data, multisite case evaluations, and community feedback. The finalized taxonomy was released in both .dtd and .owl formats at the Open Health Natural Language Processing Consortium. The taxonomy is compatible with several different open-source annotation tools, including MAE, Brat, and MedTator.

Results
The resulting error taxonomy comprises 43 distinct error classes, organized into 6 error dimensions and 4 properties, including model type (symbolic and statistical machine learning), evaluation subject (model and human), evaluation level (patient, document, sentence, and concept), and annotation examples. Internal and external evaluations revealed strong variations in error types across methodological approaches, tasks, and EHR settings. Key points emerged from community feedback, including the need to enhancing clarity, generalizability, and usability of the taxonomy, along with dissemination strategies.

Conclusion
The proposed taxonomy can facilitate the acceleration and standardization of the error analysis process in multi-site settings, thus improving the provenance, interpretability, and portability of NLP models. Future researchers could explore the potential direction of developing automated or semi-automated methods to assist in the classification and standardization of error analysis.
A matter of age? How age affects the adaptation of lactating dairy cows to virtual fencing
Authors: Confessore Andrea , Schneider Manuel K , Pauler Caren M , Aquilani Chiara , Fuchs Patricia , Pugliese Carolina , Dibari Camilla , Argenti Giovanni , Accorsi Pier Attilio , Probo Massimiliano 
Published: May 2024

Abstract
Virtual Fencing (VF) can be a helpful technology in managing herds in pasture-based systems. In VF systems, animals wear a VF collar using global positioning, and physical boundaries are replaced by virtual ones. The Nofence (Nofence AS, Batnfjordsøra, Norway) collars used in this study emit an acoustic warning when an animal approaches the virtual boundaries, followed by an aversive electrical pulse if the animal does not return to the defined area. The stimuli sequence is repeated up to three times if the animal continues to walk forward. Although it has been demonstrated that animals successfully learn to adapt to the system, it is unknown if this adaptation changes with animal age and thus has consequences for VF training and animal welfare. This study compared the ability of younger and older dairy cows to adapt to a VF system and whether age affected activity behavior, milk yield, and animal long-term stress under VF management. The study was conducted on four comparable strip-grazing paddocks. Twenty lactating Holstein-Friesian cows, divided into four groups of five animals each, were equipped with VF collars and pedometers. Groups differed in age: two groups of older cows (&gt;4 lactations) and two groups of younger ones (first lactation). After a 7-d training, paddock sizes were increased by successively moving the virtual fence during four consecutive grazing periods. Throughout the study, the pedometers recorded daily step count, time spent standing, and time spent lying. For the determination of long-term stress, hair samples were collected on the first and last day of the trial and the hair cortisol content was assessed. Data were analyzed by generalized mixed-effect models. Overall, age had no significant impact on animal responses to VF, but there were interaction effects of time: the number of acoustic warnings in the last period was higher in younger cows (P &lt; 0.001), and the duration of acoustic warnings at training was shorter for older cows (P &lt; 0.01). Moreover, younger cows walked more per day during the training (P &lt; 0.01). Finally, no effects on milk yield or hair cortisol content were detected. In conclusion, all cows, regardless of age, adapted rapidly to the VF system without compromising their welfare according to the indicators measured.
Sweeping up the best things
Authors: Donnelly Eloise 
Published: May 2024

Abstract
Travelling abroad to acquire objects at source was an important aspect of the South Kensington Museum’s collecting policy from the outset. With curatorial focus on Italian Renaissance works of art, and growing competition for such objects at salerooms and curiosity shops in London, buying trips to Italy played a critical role in the expansion of the museum’s collections throughout its first half-century. This article examines the interactions between curators at South Kensington and the Milanese art market, and considers the role played by Milan in shaping the museum collections between 1850 and 1910. Through the prism of dealers’ records, curatorial correspondence and key acquisitions, the museum’s activities in Milan are reconstructed and key dealer–curator networks are illuminated, underlining Milan’s position as a centre of the art market in the nineteenth century.
Sympathetic nerve signals: orchestrators of mammary development and stem cell vitality
Authors: Ye Zi , Xu Yu , Zhang Mengna , Cai Cheguo 
Published: May 2024

Abstract
The mammary gland is a dynamic organ that undergoes significant changes at multiple stages of postnatal development. Although the roles of systemic hormones and microenvironmental cues in mammary homeostasis have been extensively studied, the influence of neural signals, particularly those from the sympathetic nervous system, remains poorly understood. Here, using a mouse mammary gland model, we delved into the regulatory role of sympathetic nervous signaling in the context of mammary stem cells and mammary development. Our findings revealed that depletion of sympathetic nerve signals results in defective mammary development during puberty, adulthood, and pregnancy, accompanied by a reduction in mammary stem cell numbers. Through in vitro three-dimensional culture and in vivo transplantation analyses, we demonstrated that the absence of sympathetic nerve signals hinders mammary stem cell self-renewal and regeneration, while activation of sympathetic nervous signaling promotes these capacities. Mechanistically, sympathetic nerve signals orchestrate mammary stem cell activity and mammary development through the extracellular signal-regulated kinase signaling pathway. Collectively, our study unveils the crucial roles of sympathetic nerve signals in sustaining mammary development and regulating mammary stem cell activity, offering a novel perspective on the involvement of the nervous system in modulating adult stem cell function and organ development.
Don’t go chasing waterfalls: the phenology of Amblyomma americanum and increased collection of medically relevant ticks further away from hiking trails in the Piedmont of North Carolina, USA
Authors: Adams Dayvion R , Figurskey Anastasia C , Barbarin Alexis M , Reiskind Michael H 
Published: May 2024

Abstract
Hiking is a popular recreational activity in North Carolina that may expose people to ticks and tick-borne pathogens. However, there is a lack of knowledge on how ticks are distributed on and near trails. Our study tested the hypothesis that ticks are more likely to be encountered when moving further away from trails by measuring differences in relative abundance at various distances. We tested 4 distances (middle of trail, edge of trail, 5 m, 20 m), as well as an on-trail and off-trail grouping. We collected significantly more ticks and ticks were more likely to be collected at our 20 m and 5 m sampling distances rather than directly on or adjacent to trails, and significantly more were collected during off-trail collections than on-trails. When looking only at Amblyomma americanum, post hoc comparisons revealed that significantly more juvenile stages were collected at 5 m and 20 m distances, but not for adults. Our monthly sampling also allowed us to describe the phenology of A. americanum in North Carolina, which is consistent with the phenology of this species in the southeastern United States with adults peaking May–Jun, nymphs Jun–Jul, and larvae in Jul–Aug. These results generally demonstrate the importance of utilizing established trails when hiking to decrease tick-borne disease risk and should be communicated to the public as a recommendation for reducing tick-encounter risk.
Health insurance among survivors of childhood cancer following Affordable Care Act implementation
Authors: Kirchhoff Anne C , Waters Austin R , Liu Qi , Ji Xu , Yasui Yutaka , Yabroff K Robin , Conti Rena M , Huang I -Chan , Henderson Tara , Leisenring Wendy M , Armstrong Gregory T , Nathan Paul C , Park Elyse R 
Published: May 2024

Abstract

Background
The Affordable Care Act (ACA) increased private nonemployer health insurance options, expanded Medicaid eligibility, and provided preexisting health condition protections. We evaluated insurance coverage among long-term adult survivors of childhood cancer pre- and post-ACA implementation.

Methods
Using the multicenter Childhood Cancer Survivor Study, we included participants from 2 cross-sectional surveys: pre-ACA (2007-2009; survivors: n = 7505; siblings: n = 2175) and post-ACA (2017-2019; survivors: n = 4030; siblings: n = 987). A subset completed both surveys (1840 survivors; 646 siblings). Multivariable regression models compared post-ACA insurance coverage and type (private, public, uninsured) between survivors and siblings and identified associated demographic and clinical factors. Multinomial models compared gaining and losing insurance vs staying the same among survivors and siblings who participated in both surveys.

Results
The proportion with insurance was higher post-ACA (survivors pre-ACA 89.1% to post-ACA 92.0% [+2.9%]; siblings pre-ACA 90.9% to post-ACA 95.3% [+4.4%]). Post-ACA insurance increase in coverage was higher among those aged 18-25 years (survivors: +15.8% vs +2.3% or less ages 26 years and older; siblings +17.8% vs +4.2% or less ages 26 years and older). Survivors were more likely to have public insurance than siblings post-ACA (18.4% vs 6.9%; odds ratio [OR] = 1.7, 95% confidence interval [CI] = 1.1 to 2.6). Survivors with severe chronic conditions (OR = 4.7, 95% CI = 3.0 to 7.3) and those living in Medicaid expansion states (OR = 2.4, 95% CI = 1.7 to 3.4) had increased odds of public insurance coverage post-ACA. Among the subset completing both surveys, low- and mid-income survivors (&lt;$40 000 and &lt;$60 000, respectively) experienced insurance losses and gains in reference to highest household income survivors (≥$100 000), relative to odds of keeping the same insurance status.

Conclusions
Post-ACA, more childhood cancer survivors and siblings had health insurance, although disparities remain in coverage.
COVID-19 vaccine fatigue in Scotland: how do the trends in attrition rates for the second and third doses differ by age, sex, and council area?
Authors: Muegge Robin , Jack Eilidh , Dean Nema , Lee Duncan 
Published: May 2024

Abstract
Vaccine fatigue is the propensity for individuals to start but not finish a vaccination program with several doses, which means they are less protected. Our study examines vaccine fatigue in the COVID-19 vaccination programme in Scotland. We model the attrition rates across multiple doses with a hierarchical binomial logistic regression model with correlated age- and area-specific random effects with conditional autoregressive priors, where inference uses integrated nested Laplace approximations. We find attrition rates smoothly decrease with increasing age, are much higher for the third dose than the second, and are generally higher for males than females.
Tobacco use Prevalence in the Military Health System: A Retrospective Study
Authors: Patrick Steven , Boyle Colleen , LaMorte Daniel , Dore Michael 
Published: May 2024

ABSTRACT

Introduction
Tobacco use is prevalent and has traditionally been higher in the U.S. Military population than in the civilian population, but studies are limited. The goal of this study was to evaluate tobacco use and tobacco cessation counseling within the US Military health system (MHS).

Materials and Methods
This was a retrospective study assessing tobacco use and cessation counseling rates within the MHS from July 2016 to March 2022. Data for military tobacco use were obtained from the Defense Health Agency (DHA) Dashboard. US civilian tobacco rates were obtained from the Center for Disease Control and Prevention (CDC).

Population
Patients 18+ currently enrolled in direct care in military treatment facilities (MTFs) who had at least one direct primary care or well care gynecology encounter during the measurement years. Current tobacco use is defined as the presence of one coded indicator which included ICD 10CM codes, MEDCIN (a system of standardized medical terminology) Terms, and Vitals. Tobacco use is defined as the use of any form of tobacco (cigarette, cigar, vaping, or smokeless). The prevalence of tobacco use per month was analyzed from July 2016 through March 2022. After searching specifically for procedure codes for tobacco cessation counseling, a month-to- month trend of the rate of tobacco cessation counseling was also established.

Results
Data from 1.8 million patients were analyzed. Overall tobacco use within the MHS (including military dependents and retirees) decreased 1.68% (29.94 to 28.26%) from 2016 to 2022. Rates decreased by 3.24% (29.94 to 26.70%) from July 2016 to March 2021 before increasing by 1.56% (26.70 to 28.26%) from March 2021 to March 2022. Tobacco cessation counseling declined by 17.4% (28.4 to 11%) from July 2016 to March 2022. In comparison to the civilian population, tobacco use was 15.0% higher in the MHS.

Conclusions
Tobacco use remains common in the United States but is more prevalent in both active duty military and military retirees than civilians. Tobacco cessation counseling within the MHS steadily declined from 2016 to 2022. While there has been an overall reduction in rates of tobacco use in the military population over the last 5 years there was an increase over the last 2 years. Further research is needed to elucidate tobacco use, the effect of tobacco cessation counseling in the military, and the potential role of tobacco cessation medications in reducing tobacco use within the MHS.
Revolutionizing Combat Casualty Care: The Power of Digital Twins in Optimizing Casualty Care Through Passive Data Collection
Authors: Pamplin Jeremy C , Remondelli Mason H , Thota Darshan , Trapier Jeremy , Davis William T , Fisher Nathan , Kwon Paul , Quinn Matthew T 
Published: May 2024

ABSTRACT
The potential impact of large-scale combat operations and multidomain operations against peer adversaries poses significant challenges to the Military Health System including large volumes of critically ill and injured casualties, prolonged care times in austere care contexts, limited movement, contested logistics, and denied communications. These challenges contribute to the probability of higher casualty mortality and risk that casualty care hinders commanders’ forward momentum or opportunities for overmatch on the battlefield. Novel technical solutions and associated concepts of operation that fundamentally change the delivery of casualty care are necessary to achieve desired medical outcomes that include maximizing Warfighter battle-readiness, minimizing return-to-duty time, optimizing medical evacuation that clears casualties from the battlefield while minimizing casualty morbidity and mortality, and minimizing resource consumption across the care continuum. These novel solutions promise to “automate” certain aspects of casualty care at the level of the individual caregiver and the system level, to unburden our limited number of providers to do more and make better (data-driven) decisions. In this commentary, we describe concepts of casualty digital twins—virtual representations of a casualty’s physical journey through the roles of care—and how they, combined with passive data collection about casualty status, caregiver actions, and real-time resource use, can lead to human–machine teaming and increasing automation of casualty care across the care continuum while maintaining or improving outcomes. Our path to combat casualty care automation starts with mapping and modeling the context of casualty care in realistic environments through passive data collection of large amounts of unstructured data to inform machine learning models. These context-aware models will be matched with patient physiology models to create casualty digital twins that better predict casualty needs and resources required and ultimately inform and accelerate decision-making across the continuum of care. We will draw from the experience of the automotive industry as an exemplar for achieving automation in health care and inculcate automation as a mechanism for optimizing the casualty care survival chain.