bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antitumor activity of niclosamide-mediated oxidative stress against acute lymphoblastic leukemia
Authors: Yang Jing , Liu Yong , Du Zefan , Zhou Qin , Yang Luo , Ye Qianyun , Pan Jingxuan , Zou Waiyi , Chen Chun , Jin Bei 
Published: May 2024

Abstract
Acute lymphoblastic leukemia (ALL) is a heterogeneous clonal disease originated from B- or T-cell lymphoid precursor cells. ALL is often refractory or relapses after treatment. Novel treatments are anxiously needed in order to achieve a better response and prolonged overall survival in ALL patients. In the present study, we aimed at examining the antitumor effect of niclosamide on ALL. We investigated the effects of niclosamide on the proliferation and apoptosis in vitro, the growth of ALL cells in xenografted NOD-Prkdcem26Cd52 il2rgem26Cd22 /Nju (NCG) mice. The results showed that niclosamide treatment potently inhibited the growth of ALL cells and induced apoptosis via elevating the levels of reactive oxygen species and activating TP53. These findings suggest that niclosamide may be a promisingly potential agent for ALL therapy.
Neural and psychological correlates of post-traumatic stress symptoms in a community adult sample
Authors: Bainter Sierra A , Goodman Zachary T , Kupis Lauren B , Timpano Kiara R , Uddin Lucina Q 
Published: May 2024

Abstract
A multitude of factors are associated with the symptoms of post-traumatic stress disorder. However, establishing which predictors are most strongly associated with post-traumatic stress disorder symptoms is complicated because few studies are able to consider multiple factors simultaneously across the biopsychosocial domains that are implicated by existing theoretical models. Further, post-traumatic stress disorder is heterogeneous, and studies using case-control designs may obscure which factors relate uniquely to symptom dimensions. Here we used Bayesian variable selection to identify the most important predictors for overall post-traumatic stress disorder symptoms and individual symptom dimensions in a community sample of 569 adults (18 to 85 yr of age). Candidate predictors were selected from previously established risk factors relevant for post-traumatic stress disorder and included psychological measures, behavioral measures, and resting state functional connectivity among brain regions. In a follow-up analysis, we compared results controlling for current depression symptoms in order to examine specificity. Poor sleep quality and dimensions of temperament and impulsivity were consistently associated with greater post-traumatic stress disorder symptom severity. In addition to self-report measures, brain functional connectivity among regions commonly ascribed to the default mode network, central executive network, and salience network explained the unique variability of post-traumatic stress disorder symptoms. This study demonstrates the unique contributions of psychological measures and neural substrates to post-traumatic stress disorder symptoms.
Capitalism, Austerity, and Fascism
Authors: Konzelmann Suzanne J 
Published: May 2024

AbstractThere is a strong resonance between events of the inter-war years and today. These include a questioning of laissez-faire capitalism and austerity, and the rise of so-called ‘populist’ parties on both the left and right. Clara Mattei’s (2022) The Capital Order: How Economists Invented Austerity and Paved the Way to Fascism thus makes an interesting contribution, by locating the key argument of her book in the febrile period of European history between the wars. According to Mattei, the First World War disrupted the pre-war capitalist system to such an extent that it created a crisis of capitalism, itself. As a result, following the end of hostilities, there was a conscious effort to restore the pre-war ‘capital order’ by means of a technocratic ‘austerity strategy’, and this was strongly linked to the rise of fascism. We argue that the inter-relationship between capitalism, austerity, and fascism during the 1920s and 1930s was rather more complex, and that to make sense of this, it is necessary to broaden the focus beyond Italy and Great Britain and the international financial conferences at Brussels (1920) and Genoa (1922). Otherwise, we risk misunderstanding and mis-diagnosing our own times, as those inter-war politicians, financiers, and economists discovered to their cost. We therefore also include Germany and the USA and base our analysis on the events of the entire inter-war period.
Case report: unravelling the puzzle of unicuspid aortic valve with multimodality imaging
Authors: Pang Li , Colantonio Mark A , Arvon Jessica , Raybuck Bryan , Balla Sudarshan 
Published: May 2024

Abstract

Background
Unicuspid aortic valve (UAV) represents a rare congenital anomaly characterized by two subtypes: acommissural unicuspid aortic valve and unicommissural unicuspid aortic valve. Acommissural UAV is often diagnosed and corrected during the neonatal period due to haemodynamic instability. Unicommissural UAV leads to aortic stenosis (AS) in early adulthood. The diagnostic challenge associated with UAV primarily stems from its eccentric orifice opening and valvular calcification, resulting in difficult visualization of the commissures and localization of the orifice plane. This case report aims to demonstrate the unique morphological features of UAV through a comprehensive analysis using multimodality imaging.

Case summary
A 61-year-old woman presented to the emergency department for recurrent episodes of dyspnoea. Severe AS was diagnosed on transthoracic echocardiography (TTE) by Doppler haemodynamic measurement. However, follow-up transesophageal echocardiography (TEE) and CT transcatheter aortic valve replacement showed moderate AS by planimetry. Following this, patient was monitored closely, but her dyspnoea kept worsening. Cardiovascular magnetic resonance (CMR) was performed due to persistent dyspnoea, identifying UAV with eccentric loophole orifice with unicommissural attachment and opposite free leaflet edge. The patient was managed medically.

Discussion
TTE is the test of choice for AS that defines valvular morphology by direct visualization and grades the severity by haemodynamic measurement. However, the accuracy of TTE can be limited by poor acoustic windows and heavy valvular calcification. TEE measures aortic valve area (AVA) by planimetry that requires accurate localization of the AV orifice plane. Similarly, it applies to multi-detector computed tomography (MDCT). While CMR is expensive and mainly available in tertiary centres, it can provide additional information when there is discordance.
Gradient-based joint inversion of point-source moment tensor and station-specific time-shifts
Authors: Phạm Thanh-Son 
Published: May 2024

SUMMARY
The misalignment of the observation and predicted waveforms in regional moment tensor inversion is mainly due to seismic models’ incomplete representation of the Earth's heterogeneities. Current moment tensor inversion techniques, allowing station-specific time-shifts to account for the model error, are computationally expensive. Here, we propose a gradient-based method to jointly invert moment-tensor parameters, centroid depth and unknown station-specific time-shifts utilizing the modern functionalities in deep learning frameworks. A $L_2^2$ misfit function between predicted synthetic and time-shifted observed seismograms is defined in the spectral domain, which is differentiable to all unknowns. The inverse problem is solved by minimizing the misfit function with a gradient descent algorithm. The method's feasibility, robustness and scalability are demonstrated using synthetic experiments and real earthquake data in the Long Valley Caldera, California. This work presents an example of fresh opportunities to apply advanced computational infrastructures developed in deep learning to geophysical problems.
Once Is Not Enough: Seasonal Patterns in Abundance of Hydromedusae Are Not Consistent in the Coastal Waters of the Bay of Panama
Authors: De León Alexandra , Collin Rachel 
Published: May 2024

Synopsis
Hydromedusae and other gelatinous zooplankton are poorly understood but important consumers in the plankton. Blooms of large-bodied medusae, which may have detrimental ecological impacts, have captured significant attention, yet the seasonal patterns of local abundance and diversity, and the factors that control them, are not well documented for the much more diverse tiny hydromedusae. There is virtually no published information on their phenology or ecology in tropical coastal systems. It has previously been suggested that increased productivity stimulated by upwelling promotes production of tiny hydromedusa and blooms as their abundance can be much higher during upwelling than during non-upwelling periods in the tropics. However, this conclusion was based on a single year of sampling in the Bay of Panama. To determine if a single year of sampling is sufficient to understand seasonal patterns in abundance and occurrence of blooms, we repeated this study 20 years later. Sampling 153 times between April 2022 and April 2023, we found similar genus-level diversity and overall counts of animals compared to the previous study, with medusae of Bougainvillia, Campalecium, Obelia, and Turritopsis accounting for 79% of the animals collected. However, we found that relative abundance was much higher during the non-upwelling season compared to the upwelling season, the opposite result compared to the previous study. These results highlight how strong baseline understanding of phenologies and the ecological conclusions drawn from them must be based on multiple years of data, even in regions with very strong seasonal changes in environmental conditions. In the case of the upwelling regions of the Tropical Eastern Pacific, further research is necessary to understand the generalizability of these patterns and to determine if contrasting results are due to inter-annual differences in oceanographic drivers or changing environmental baselines.
Management of neo-esophagus-airway fistula after esophagectomy for oesophageal cancer: systematic literature review and meta-analysis
Authors: Bertrand Thibaud , Chatellier Gilles , Mercier Olaf 
Published: May 2024

AbstractOBJECTIVESNeo-oesophageal-airway fistula (NEAF) between gastric conduit and airway is a rare but life-threatening complication of oesophagectomy for oesophageal cancer. Optimal treatment remains unknown. A meta-analysis of good-quality case series may help determine whether nonoperative management (NOM) only, upfront surgery (S), or NOM followed by surgery is associated with better 1-year post-treatment mortality, resumption of oral diet and fistula recurrence.METHODSWe systematically searched PubMed, EMBASE and Web of Science for publications in English reporting case series of management and survival in patients with NEAF. Of the 177 identified studies, 62 were duplicates and 95 were not relevant to our topic. Three studies were excluded after a full-text review, due to absence of reporting of 1-year survival. Exclusion criteria to identified publications were: abstract only, malignant NEAF, absence of oesophagectomy and esogastric anastomosis, fewer than 5 patients and NEAF not the main focus of the study. Data-extraction was conducted in accordance with MOOSE guidelines. Data were pooled using random-effects model.RESULTSSeventeen studies (302 patients) were included. One-year post-treatment mortality was considerably lower with NOM followed by surgery [33%; 95% confidence interval (CI), 0.17–0.48] than with NOM (68%; 95% CI, 0.39–0.97) or S (67%; 95% CI, 0.36–0.98). Fistula location was not associated with 1-year mortality. Neither resumption of an oral diet nor fistula recurrence differed significantly across treatment strategies.CONCLUSIONSNOM to prepare patients for surgery followed by surgical repair may provide the highest 1-year survival of patients with NEAF. However, patient selection criteria to each of 3 treatment strategies may have affected our findings.
Planning maintenance when resources are limited: a study of periodic opportunistic replacement
Authors: Cavalcante Cristiano A V , Scarf Phil , Melo Yan R , Rodrigues Augusto J S , Alotaibi Naif 
Published: May 2024

Abstract
Accepted by: M. Zied Babai
We study an aged-based replacement policy with two control limits. The first triggers opportunistic replacement and the second triggers a guaranteed replacement. The policy is novel because: the instances for component replacement are restricted to instances of time, which we call slots, that arise periodically; and a slot provides an opportunity for replacement with a particular probability. The policy models contexts in which maintenance is periodic, and resources are limited or execution of maintenance is not guaranteed. The policy is important for practice because it is simple and reflects the common reality of time-based maintenance planning. Long-run cost per unit time and average availability are calculated in a renewal-reward framework. Numerical study indicates that, if opportunities are rare, guaranteed replacement is beneficial and opportunities should be taken early in the life of a system. Using the policy, a maintainer can evaluate the cost–benefit of investing more resources to reduce the time between slots. Specific analysis and policy comparisons can be carried out using a web-application developed by the authors.
Co-occurrence of the cephalosporinase cepA and carbapenemase cfiA genes in a Bacteroides fragilis division II strain, an unexpected finding
Authors: Valdezate S , Medina-Pascual M J , Villalón P , Garrido N , Monzón S , Cuesta I , Cobo F 
Published: May 2024

Abstract

Background
Bacteroides fragilis, an anaerobic gut bacterium and opportunistic pathogen, comprises two genetically divergent groups (or divisions) at the species level. Differences exist both in the core and accessory genomes and the beta-lactamase genes, with the cephalosporinase gene cepA represented only in division I and the carbapenemase gene cfiA only in division II.

Methods
Multidrug resistance in a clinical B. fragilis strain was examined by whole-genome sequencing.

Results
Strain CNM20200260 carried the antimicrobial resistance genes cepA, cfiA2, ant(6’), erm(F), mef(En2), est(T), tet(Q) and cat(A), along with 82-Phe mutation in gyrA (together with 47 amino acid changes in gyrA/B and parC/parE). bexA/B and other efflux pump genes were also observed. None of the detected insertion sequences was located upstream of cfiA2. The genome-based taxonomy coefficients (average nucleotide identity, DNA–DNA hybridization similarity and difference in genomic G + C%) with respect to genomes of the strains of B. fragilis division II and the novel species Bacteroides hominis (both cfiA-positive) met the criteria for CNM20200260 to belong to either species (&gt;95%, &gt;70% and &lt;1%, respectively). No such similarity was seen with type strain NCTC 9343 or the representative genome FDAARGOS 1225 of B. fragilis (division I, cfiA-negative). Strain CNM20200260 harboured four out of nine Kyoto Encyclopedia of Genes and Genomes orthologues defined for division I and one of two defined for division II.

Conclusions
This is the first description of the co-occurrence of cepA and cfiA in a Bacteroides strain, confirming the complexity of the taxonomy of this species.
Population pharmacokinetics of daptomycin in critically ill patients receiving extracorporeal membrane oxygenation
Authors: Zhang Li-Chen , Li Qiu-Yue , Zhang Yu-Qiu , Shan Ti-Chao , Li Yuan , Li Yi-Hui , Han Hui , Qin Wei-Dong , Guo Hai-Peng , Zhao Wei , Tang Bo-Hao , Chen Xiao-Mei 
Published: May 2024

Abstract

Background
Daptomycin is widely used in critically ill patients for Gram-positive bacterial infections. Extracorporeal membrane oxygenation (ECMO) is increasingly used in this population and can potentially alter the pharmacokinetic (PK) behaviour of antibiotics. However, the effect of ECMO has not been evaluated in daptomycin. Our study aims to explore the effect of ECMO on daptomycin in critically ill patients through population pharmacokinetic (PopPK) analysis and to determine optimal dosage regimens based on both efficacy and safety considerations.

Methods
A prospective, open-label PK study was carried out in critically ill patients with or without ECMO. The total concentration of daptomycin was determined by UPLC-MS/MS. NONMEM was used for PopPK analysis and Monte Carlo simulations.

Results
Two hundred and ninety-three plasma samples were collected from 36 critically ill patients, 24 of whom received ECMO support. A two-compartment model with first-order elimination can best describe the PK of daptomycin. Creatinine clearance (CLCR) significantly affects the clearance of daptomycin while ECMO has no significant effect on the PK parameters. Monte Carlo simulations showed that, when the MICs for bacteria are  ≥1 mg/L, the currently recommended dosage regimen is insufficient for critically ill patients with CLCR &gt; 30 mL/min. Our simulations suggest 10 mg/kg for patients with CLCR between 30 and 90 mL/min, and 12 mg/kg for patients with CLCR higher than 90 mL/min.

Conclusions
This is the first PopPK model of daptomycin in ECMO patients. Optimal dosage regimens considering efficacy, safety, and pathogens were provided for critical patients based on pharmacokinetic-pharmacodynamic analysis.
Clinical outcomes in OPAT patients treated with ceftriaxone 4 g and ceftazidime 6 g extended interval dosing regimens
Authors: Wareham David , Melzer Mark 
Published: May 2024

Abstract

Background
New dosing regimens for ceftriaxone 4 g/24 hours and ceftazidime 3 g/12 hours are convenient for patients receiving OPAT. To date, these have not been clinically validated.

Aim
To assess the tolerability, toxicity and effectiveness of once daily ceftriaxone (4 g) and 12 hourly ceftazidime regimens (3 g twice a day) in the OPAT setting.

Patients and methods
From April 2018 until March 2023; demographic, clinical, microbiological and outcome data were collected on all adult patients discharged to a community-based OPAT team in East London.

Results
There were 487 OPAT episodes. Fifty-three (10.9%) patients received ceftriaxone 4 g once a day and 20 (4.1%) ceftazidime 3 g twice a day. In the ceftriaxone group, the commonest conditions treated were orthopaedic, neurosurgical or diabetic foot infections. OPAT was used to expedite the discharge of 45 (84.9%) patients, the remainder were admission avoidance episodes. The commonest isolate causing infection was MSSA 23 (43.4%). There were no tolerability or toxicity episodes recorded. All patients were cured and bed days saved were 1266.
In the smaller twice-daily ceftazidime cohort, seven (35%) patients were treated for necrotizing otitis externa, six (30%) for bronchiectasis and six (30%) for urinary tract infections. The commonest cause of infection was P. aeruginosa, 18 (90%). One case of nephrotoxicity was recorded. All patients were cured and bed days saved were 896.

Conclusions
Regimens of ceftriaxone 4 g once a day and ceftazidime 3 g twice a day were well tolerated and highly effective. If widely adopted, these regimens will save OPAT and nursing time and enable more patients to be treated.
The Socio-Economic Impact of Coal Mining in Mozambique
Authors: Egger Eva-Maria , Keller Michael , Mouco Jorge Benjamim 
Published: May 2024

Abstract
This study assesses the impact of four coal mines in Mozambique on socio-economic outcomes of the local population. We combine four waves of household surveys with coal mine locations and employ a difference-in-differences model. The timing of the surveys allows us to control for pre-trends and differentiate between the effects during the investment and production periods. The mines led to a causal increase in consumption and a correlational decline in poverty. The mine introduced higher-paying jobs, often obtained by women, which shifted them from agriculture and unpaid work to the mining, service sectors and wage work. This shift impacted family labour dynamics, in particular young males and to a lesser extent young females worked less. The decrease in child labour reduced overall employment. Access to basic services, such as drinking water, electricity and health services, improved. Primary education completion rates increased, while children's schooling was unaffected. Negative consequences were found related to the incidence of sickness and a decline in market access.
Constructing knowledge: the role of AI in medical learning
Authors: Lawson McLean Aaron 
Published: May 2024

Abstract
The integration of large language models (LLMs) like ChatGPT into medical education presents potential benefits and challenges. These technologies, aligned with constructivist learning theories, could potentially enhance critical thinking and problem-solving through inquiry-based learning environments. However, the actual impact on educational outcomes and the effectiveness of these tools in fostering learning require further empirical study. This technological shift necessitates a reevaluation of curriculum design and the development of new assessment methodologies to measure its effects accurately. Additionally, the use of LLMs introduces significant ethical concerns, particularly in addressing inherent AI biases to ensure equitable educational access. LLMs may also help reduce global disparities in medical education by providing broader access to contemporary medical knowledge and practices, though their deployment must be managed carefully to truly support the training of competent, ethical medical professionals.
MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance
Authors: Essaid Shahim , Andre Jeff , Brooks Ian M , Hohman Katherine H , Hull Madelyne , Jackson Sandra L , Kahn Michael G , Kraus Emily M , Mandadi Neha , Martinez Amanda K , Mui Joyce Y , Zambarano Bob , Soares Andrey 
Published: May 2024

Abstract

Objectives
The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven’s Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline.

Materials and Methods
The input data source was a research data warehouse containing clinical and administrative data in OMOP CDM Version 5.3 format. OMOP-to-FHIR transformations, using a unique JavaScript Object Notation (JSON)-to-JSON transformation language called Whistle, created FHIR R4 V4.0.1/US Core IG V4.0.0 conformant resources that were stored in a local FHIR server. A REST-based Bulk FHIR $export request extracted FHIR resources to populate a local MENDS database.

Results
Eleven OMOP tables were used to create 10 FHIR/US Core compliant resource types. A total of 1.13 trillion resources were extracted and inserted into the MENDS repository. A very low rate of non-compliant resources was observed.

Discussion
OMOP-to-FHIR transformation results passed validation with less than a 1% non-compliance rate. These standards-compliant FHIR resources provided standardized data elements required by the MENDS surveillance use case. The Bulk FHIR application programming interface (API) enabled population-level data exchange using interoperable FHIR resources. The OMOP-to-FHIR transformation pipeline creates a FHIR interface for accessing OMOP data.

Conclusion
MENDS-on-FHIR successfully replaced custom ETL with standards-based interoperable FHIR resources using Bulk FHIR. The OMOP-to-FHIR transformations provide an alternative mechanism for sharing OMOP data.