bluuebunny/crossref_metadata_2025_split huggingface dataset:
Draft genome sequence of
Exiguobacterium
sp. from whole cantaloupe, with inhibition capacity against
Listeria monocytogenes
Authors: Vishnivetskaya Tatiana A. , Niedermeyer Jeffrey , Guttierrez-Rodriguerz Eduardo , Baltzegar David , Parsons Cameron , Kathariou Sophia 
Published: December 2023

ABSTRACT

We report the draft genome sequence of a novel species,
Exiguobacterium
sp., isolated from a freshly harvested and untreated cantaloupe in North Carolina. The strain
Exiguobacterium
wild type exhibited inhibitory activity against the foodborne pathogen
Listeria monocytogenes
, including strains of diverse serotypes and genotypes, both on agar media and in biofilms.
mSphere of Influence: How host genetics impact microbial pathogenesis and treatment of infectious disease
Authors: Rosowski Emily E. 
Published: December 2023

ABSTRACT

Emily Rosowski works in the field of host-pathogen interactions, studying how host innate immune mechanisms control pathogens. In this mSphere of Influence article, she reflects on how “Host genotype-specific therapies can optimize the inflammatory response to mycobacterial infections” by D. M. Tobin, F. J. Roca, S. F. Oh, R. McFarland, et al. (Cell 148:434–446, 2012,
https://doi.org/10.1016/j.cell.2011.12.023
) made an impact on her by investigating how differences in host genetics can affect modes of microbial pathogenesis and inform treatments for infectious disease.
Poly-omic risk scores predict inflammatory bowel disease diagnosis
Authors: Arehart Christopher H. , Sterrett John D. , Garris Rosanna L. , Quispe-Pilco Ruth E. , Gignoux Christopher R. , Evans Luke M. , Stanislawski Maggie A. 
Published: December 2023

ABSTRACT

Inflammatory bowel disease (IBD) is characterized by complex etiology and a disrupted colonic ecosystem. We provide a framework for the analysis of multi-omic data, which we apply to study the gut ecosystem in IBD. Specifically, we train and validate models using data on the metagenome, metatranscriptome, virome, and metabolome from the Human Microbiome Project 2 IBD multi-omic database, with 1,785 repeated samples from 130 individuals (103 cases and 27 controls). After splitting the participants into training and testing groups, we used mixed-effects least absolute shrinkage and selection operator regression to select features for each omic. These features, with demographic covariates, were used to generate separate single-omic prediction scores. All four single-omic scores were then combined into a final regression to assess the relative importance of the individual omics and the predictive benefits when considered together. We identified several species, pathways, and metabolites known to be associated with IBD risk, and we explored the connections between data sets. Individually, metabolomic and viromic scores were more predictive than metagenomics or metatranscriptomics, and when all four scores were combined, we predicted disease diagnosis with a Nagelkerke’s
R
2
of 0.46 and an area under the curve of 0.80 (95% confidence interval: 0.63, 0.98). Our work supports that some single-omic models for complex traits are more predictive than others, that incorporating multiple omic data sets may improve prediction, and that each omic data type provides a combination of unique and redundant information. This modeling framework can be extended to other complex traits and multi-omic data sets.

IMPORTANCE
Complex traits are characterized by many biological and environmental factors, such that multi-omic data sets are well-positioned to help us understand their underlying etiologies. We applied a prediction framework across multiple omics (metagenomics, metatranscriptomics, metabolomics, and viromics) from the gut ecosystem to predict inflammatory bowel disease (IBD) diagnosis. The predicted scores from our models highlighted key features and allowed us to compare the relative utility of each omic data set in single-omic versus multi-omic models. Our results emphasized the importance of metabolomics and viromics over metagenomics and metatranscriptomics for predicting IBD status. The greater predictive capability of metabolomics and viromics is likely because these omics serve as markers of lifestyle factors such as diet. This study provides a modeling framework for multi-omic data, and our results show the utility of combining multiple omic data types to disentangle complex disease etiologies and biological signatures.
Quality of fluid balance charting and interventions to improve it: a systematic review
Authors: Leinum Lisbeth Roesen , Krogsgaard Marianne , Tantholdt-Hansen Sara , Gögenur Ismail , Baandrup Anders Ohlhues , Azawi Nessn 
Published: December 2023

IntroductionFluid balance monitoring is pivotal to patients’ health. Thus, fluid balance charting is an essential part of clinical nursing documentation. This systematic review aimed to investigate and describe the quality of fluid balance monitoring in medical, surgical and intensive care units, with an emphasis on the completeness of charting data, calculation errors and accuracy, and to evaluate methods used to improve fluid balance charting.Materials and methodsQuantitative studies involving adult patients and reporting data on fluid balance monitoring were included in the review. We searched MEDLINE, Embase, CINAHL and the Cochrane Library. The risk of bias in the included studies was assessed using tools developed by the Joanna Briggs Institute.ResultsWe included a total of 23 studies, which involved 6649 participants. The studies were quasi-experimental, cohort or prevalence studies, and every third study was of low quality. Definitions of ‘completeness’ varied, as well as patient categories and time of evaluation. Eighteen studies reported the prevalence of patients with complete fluid balance charts; of those, 10 reported that not more than 50% of fluid balance charts were complete. Studies addressing calculation errors found them in 25%–35% of charts, including omissions of, for example, intravenous medications. The reported interventions consisted of various components such as policies, education, equipment, visual aids, surveillance and dissemination of results. Among studies evaluating interventions, only 38% (5 of 13) achieved compliance with at least 75% of complete fluid balance charts. Due to the heterogeneity of the studies, a meta-analysis was not possible.ConclusionThe quality of fluid balance charting is inadequate in most studies, and calculation errors influence quality. Interventions included several components, and the impact on the completion of fluid balance charts varied.
Hyperoxia for sepsis and development of acute lung injury with increased mortality
Authors: Yamamoto Ryo , Fujishima Seitaro , Yamakawa Kazuma , Abe Toshikazu , Ogura Hiroshi , Saitoh Daizoh , Gando Satoshi , Sasaki Junichi 
Published: December 2023

BackgroundSupraphysiological oxygen administration causes unfavourable clinical outcomes in various diseases. This study aimed to determine whether hyperoxia would be associated with increased mortality in patients with severe infection.MethodsA post-hoc analysis of a nationwide multicentre prospective observational study on sepsis (SPICE Study) was conducted, including adult patients admitted to the intensive care unit with available arterial partial pressure of oxygen (PaO2) at the treatment initiation for severe infection. Hyperoxia was defined as a PaO2level of ≥300 mm Hg and in-hospital mortality was compared between patients with and without hyperoxia.ResultsOf the 563 patients eligible for the study, 49 had hyperoxia at treatment initiation for severe infection. The in-hospital all-cause mortality rates of patients with and without hyperoxia were 14 (29.2%) and 90 (17.6%), respectively. Inverse probability weighting analyses with propensity scores revealed the association between hyperoxia and increased in-hospital mortality rate (28.8% vs 18.8%; adjusted OR 1.75 (1.03 to 2.97); p=0.038), adjusting for patient demographics, comorbidities, site of infection, severity of infection, haemodynamic and respiratory status, laboratory data and location of patient at infection development. Acute lung injury developed more frequently in patients with hyperoxia on the following days after infection treatment, whereas sepsis-related mortality was comparable regardless of hyperoxia exposure.ConclusionHyperoxia with PaO2≥300 mm Hg at treatment initiation of severe infection was associated with an increased in-hospital mortality rate in patients requiring intensive care. The amount of oxygen to administer to patients with severe infection should be carefully determined.Trial registration numberUniversity Hospital Medical Information Network Clinical Trial Registry (UMIN000027452).
Forecasting constraints on the baryon mass fraction in the IGM from fast radio bursts and type Ia supernovae
Authors: Lemos Thais , Gonçalves Rodrigo , Carvalho Joel , Alcaniz Jailson 
Published: December 2023

AbstractFast Radio Bursts (FRBs) are millisecond transient radio events with a high energy. By identifying the origin of the burst, it is possible to measure the redshift of the host galaxy, which can be used to constrain cosmological and astrophysical parameters and test aspects of fundamental physics when combined with the dispersion measure (DM). However, some factors limit the cosmological application of FRBs: (i) the poor modelling of the fluctuations in the DM due to spatial variation in the cosmic electrons density; (ii) the fact that the fraction of baryon mass in the intergalactic medium ($$f_{IGM}$$

f

IGM

) is degenerated with some cosmological parameters; (iii) the limited knowledge about host galaxy contribution ($$DM_{host}$$

D

M

host

). In this work, we investigate the impact of different redshift distribution models of FRBs to constrain the baryon fraction in the IGM and host galaxy contribution. We use a cosmological model-independent method developed in previous work Lemos (EPJC 83:138, 2023) to perform the analysis and combine simulated FRB data from Monte Carlo simulation and supernovae data. We assume four distribution models for the FRBs: gamma-ray bursts (GRB), star formation rate (SFR), uniform and equidistant (ED). Also, we consider samples with $$N = 15, 30, 100$$

N
=
15
,
30
,
100

and 500 points and different values of the fluctuations of electron density in the DM, $$\delta = 0, 100, 200, 400, 230\sqrt{z}$$

δ
=
0
,
100
,
200
,
400
,
230

z

pc/cm$$^{3}$$

3

. Our analysis shows that all the distribution models present consistent results within $$2\sigma $$

2
σ

for the free parameters $$f_{IGM}$$

f

IGM

and $$DM_{host,0}$$

D

M

h
o
s
t
,
0

and highlights the crucial role of DM fluctuations in obtaining more precise measurements.
Computational approaches to lipid-based nucleic acid delivery systems
Authors: Settanni Giovanni 
Published: December 2023

AbstractNucleic acid-based therapies have shown enormous effectiveness as vaccines against the recent COVID19 pandemics and hold great promises in the fight of a broad spectrum of diseases ranging from viral infections to cancer up to genetically transmitted pathologies. Due to their highly degradable polyanionic nature, nucleic acids need to be packed in sophisticate delivery vehicles which compact them up, protect them from early degradation and help delivery them to the right tissue/cells. Lipid-based nanoparticles (LNP) represent, at present, the main solution for nucleic acid delivery. They are made of a mixture of lipids whose key ingredient is an ionizable cationic lipid. Indeed, the interactions between the polyanionic nucleic acids and the ionizable cationic lipids, and their pH-dependent regulation in the life cycle of the nanoparticle, from production to cargo delivery, mostly determine the effectiveness of the therapeutic approach. Notwithstanding the large improvements in the delivery efficiency of LNPs in the last two decades, it is estimated that only a small fraction of the cargo is actually delivered, stimulating further research for the design of more effective LNP formulations. A rationally driven design would profit from the knowledge of the precise molecular structure of these materials, which is however still either missing or characterized by poor spatial resolution. Computational approaches have often been used as a molecular microscope either to enrich the available experimental data and provide a molecular-level picture of the LNPs or even simulate specific processes involving the formation and/or the molecular mechanisms of action of the LNP. Here, I review the recent literature in the field.
Mortality associated factors in patients with acute pulmonary edema
Authors: Araujo Victor Arrais , Vella Julia Pitombo , Sinigaglia Mariana , Silva Alex França da , Jardim Yuri Justi , Soeiro Alexandre de Matos 
Published: December 2023

Introduction: Risk factors related to acute pulmonary edema are still poorly described. However, they are determinant in the perspective of treatment.
Esotericism between Europe and East Asia: How the “Esoteric Distinction” Became a Structure in Cross-Cultural Interpretation
Authors: Strube Julian 
Published: December 2023

Abstract
Different understandings of “esoteric” are the main subject and the demarcation line of several fields of study. However, the history of this term is either neglected or distorted by specific historiographical paradigms. Tracing European writings on China and Japan from the sixteenth to the eighteenth centuries, this article demonstrates that “esoteric” language was central to scholarship on Asia, shaping common terms that remain in use today. By showing how the emergence and development of an “esoteric distinction” between teachings and practices was linked to cross-cultural interpretation and translingual practices, the article argues that this distinction was not a mere projection of European concepts, but rather the result of cultural exchanges that need to be carefully studied on a case-by-case basis within their concrete historical contexts. To better understand the negotiations of what many today would call “esotericism,” a decentered historiography is needed that considers the global history of general terms.
The Ascended Confucius: Images of the Chinese Master in the Euro-American Esoteric Discourse
Authors: Pokorny Lukas K. 
Published: December 2023

Abstract
This article provides a diachronic panorama of the nineteenth- and twentieth-century Euro-American esoteric images of Confucius. After selected appraisals capturing the polyphony of nineteenth-century notions of Confucius, emphasis is given to spiritualist and Theosophical appropriations. Next, his soteriological elevation and the introduction of fellow Chinese Masters within the Ascended Masters context are explored in relation to the I AM Activity and, specifically, the post-Second World War groups The Bridge to Freedom (present-day The Bridge to Spiritual Freedom) and The Church Universal and Triumphant. Overall, this article traces the transformation of the esoteric Confucius trope, which substantially contributed to the wider public perception of Confucius and Confucianism.
Introducing “the Heavenly Empire of China” (le Céleste Empire de la Chine)
Authors: Winter Franz 
Published: December 2023

Abstract
Joseph Alexandre Saint-Yves d’Alveydre (1842–1909) is an eminent figure in the history of French esotericism who introduced a specific view on the history of humankind that evolves around various cycles of civilizations and their supposed remains in important cultural and religious traditions of the world. Although India obviously plays the most important role, a thorough study of his interest in China and its heritage clearly shows that in some points he even favors the latter. The present study aims at contextualizing his take on China in the longer reception history of East Asia in the European context.
Albert de Pouvourville’s Occultisme Colonial
Authors: Marino Davide 
Published: December 2023

Abstract
Albert de Pouvourville (1862–1939), better known by his nom de plume Matgioi, was one of the most noticeable characters of the nineteenth-century French occult milieu. In addition to his prominence in fin-de-siècle occult Paris, de Pouvourville also served as a soldier in Indochina, and after the end of his military career he continued to play an important role in French colonialism. This article aims to describe both de Pouvourville’s occultist and colonialist production and argues that they should be understood as two parts of a coherent intellectual trajectory, characterized by two fundamental elements of de Pouvourville’s worldview: “elitism” and “colonial Darwinism.” From gender and race to initiation and opium consumption, de Pouvourville’s “discourse on the Far East” is a form of “colonial occultism”: a peculiar mix of imperialist hegemonic aspirations and spiritual thirst for “the wisdom of the East.”
Green Bond Financing and Corporate Environmental Performance
Authors: Prokop Jörg , Müller Rika Kristin 
Published: December 2023

Abstract
We investigate whether a green bond issue constitutes a reliable indicator to capital market participants that the issuing firm will be able to improve its environmental footprint in the near future. Based on a propensity-score-matched sample of green bond and conventional bond issues within the EU, we compare firms’ environmental performances with respect to three measures, namely greenhouse gas emissions, energy intensity, and water intensity. We find that there is no evidence of green bond issues being a good indicator of a firm’s ability to improve its environmental performance in the near term. Overall, while we observe certain improvements in environmental performance in the years following corporate bond issuances in general, green issuers and conventional issuers do not differ significantly with respect to these changes. Hence, we conclude that a green bond issue in itself is not a useful indicator of a firm’s commitment to a more sustainable business model.
Predicting Tropical Cyclone Formation with Deep Learning
Authors: Nguyen Quan , Kieu Chanh 
Published: December 2023

Abstract
Exploring new techniques to improve the prediction of tropical cyclone (TC) formation is essential for operational practice. Using convolutional neural networks, this study shows that deep learning can provide a promising capability for predicting TC formation from a given set of large-scale environments at certain forecast lead times. Specifically, two common deep-learning architectures including the residual net (ResNet) and UNet are used to examine TC formation in the Pacific Ocean. With a set of large-scale environments extracted from the NCEP–NCAR reanalysis during 2008–21 as input and the TC labels obtained from the best track data, we show that both ResNet and UNet reach their maximum forecast skill at the 12–18-h forecast lead time. Moreover, both architectures perform best when using a large domain covering most of the Pacific Ocean for input data, as compared to a smaller subdomain in the western Pacific. Given its ability to provide additional information about TC formation location, UNet performs generally worse than ResNet across the accuracy metrics. The deep learning approach in this study presents an alternative way to predict TC formation beyond the traditional vortex-tracking methods in the current numerical weather prediction.

Significance Statement
This study presents a new approach for predicting tropical cyclone (TC) formation based on deep learning (DL). Using two common DL architectures in visualization research and a set of large-scale environments in the Pacific Ocean extracted from the reanalysis data, we show that DL has an optimal capability of predicting TC formation at the 12–18-h lead time. Examining the DL performance for different domain sizes shows that the use of a large domain size for input data can help capture some far-field information needed for predicting TCG. The DL approach in this study demonstrates an alternative way to predict or detect TC formation beyond the traditional vortex-tracking methods used in the current numerical weather prediction.
Age-specific differences in cervical cancer screening rates in women using mental health services in New South Wales, Australia
Authors: Impelido Michael Louis , Brewer Kate , Burgess Philip , Curtis Jackie , Currow David , Sara Grant 
Published: December 2023

Objective: Women living with mental health conditions have lower cervical cancer screening rates and higher mortality. More evidence is needed to target health system improvement efforts. We describe overall and age-specific cervical cancer screening rates in mental health service users in New South Wales. Methods: Cervical cancer screening registers were linked to New South Wales hospital and community mental health service data. Two-year cervical screening rates were calculated for New South Wales mental health service users aged 20–69 years ( n = 114,022) and other New South Wales women ( n = 2,110,127). Rate ratios were compared for strata of age, socio-economic disadvantage and rural location, and overall rates compared after direct standardisation. Results: Only 40.3% of mental health service users participated in screening, compared with 54.3% of other New South Wales women (incidence rate ratio = 0.74, 95% confidence interval = [0.74, 0.75]). Differences in age, social disadvantage or rural location did not explain screening gaps. Screening rates were highest in mental health service users aged <35 years (incidence rate ratios between 0.90 and 0.95), but only 15% of mental health service users aged >65 years participated in screening (incidence rate ratio = 0.27, 95% confidence interval = [0.24, 0.29]). Conclusion: Women who use mental health services are less likely to participate in cervical cancer screening. Rates diverged from population rates in service users aged ⩾35 years and were very low for women aged >65 years. Intervention is needed to bridge these gaps. New screening approaches such as self-testing may assist.
Effect of School Closure During COVID-19 Lockdown on ADHD Symptoms Among Students
Authors: Saurav Kumar , Kundu Partha Sarathi 
Published: December 2023

Background: Attention deficit hyperactivity disorder (ADHD) is the most common neurobehavioral disorder among children, with an estimated prevalence of 1.3 per 1000 in India. The nationwide lockdown imposed due to the COVID-19 pandemic has led to the closure of schools for an indefinite period. After the reopening of schools, the lockdown period was feared to have caused a deterioration in symptoms of existing mental health conditions among school-going children. This field study aimed to probe the association of school closures due to lockdown with any change in symptoms of ADHD in aged 6–15 years in the largest tertiary care hospital in Kolkata. Methods: A longitudinal observational study was conducted involving 34 prediagnosed ADHD patients attending the Clinical Psychology outpatient department (OPD) of a tertiary hospital for follow-up. Data was collected by face-to-face interviews with the patients’ parents using a predesigned, pretested structured study schedule. Conners’ Parent Rating Scale (CPRS) was used to assess the ADHD symptoms. Results: Twenty-three (67.65%) patients were observed to have worsened ADHD symptoms after lockdown. Significant worsening was observed in the ADHD indicator and the mood disorder indicator. Significant contributing factors were rural residence, nuclear family, non-attendance at school, and knowledge inadequacy among parents. Conclusion: There was a significant worsening of symptoms of ADHD owing to the school closure due to the lockdown.