bluuebunny/crossref_metadata_2025_split huggingface dataset:
CMR-derived left ventricular intraventricular pressure gradients identify different patterns associated with prognosis in dilated cardiomyopathy
Authors: Vos Jacqueline L , Raafs Anne G , Henkens Michiel T H M , Pedrizzetti Gianni , van Deursen Caroline J , Rodwell Laura , Heymans Stephane R B , Nijveldt Robin 
Published: May 2023

Abstract

Aims
Left ventricular (LV) blood flow is determined by intraventricular pressure gradients (IVPG). Changes in blood flow initiate remodelling and precede functional decline. Novel cardiac magnetic resonance (CMR) post-processing LV-IVPG analysis might provide a sensitive marker of LV function in dilated cardiomyopathy (DCM). Therefore, the aim of our study was to evaluate LV-IVPG patterns and their prognostic value in DCM.

Methods and results
LV-IVPGs between apex and base were measured on standard CMR cine images in DCM patients (n = 447) from the Maastricht Cardiomyopathy registry. Major adverse cardiovascular events, including heart failure hospitalisations, life-threatening arrhythmias, and sudden/cardiac death, occurred in 66 DCM patients (15%). A temporary LV-IVPG reversal during systolic–diastolic transition, leading to a prolonged transition period or slower filling, was present in 168 patients (38%). In 14%, this led to a reversal of blood flow, which predicted outcome corrected for univariable predictors [hazard ratio (HR) = 2.57, 95% confidence interval (1.01–6.51), P = 0.047]. In patients without pressure reversal (n = 279), impaired overall LV-IVPG [HR = 0.91 (0.83–0.99), P = 0.033], systolic ejection force [HR = 0.91 (0.86–0.96), P &lt; 0.001], and E-wave decelerative force [HR = 0.83 (0.73–0.94), P = 0.003] predicted outcome, independent of known predictors (age, sex, New York Heart Association class ≥ 3, LV ejection fraction, late gadolinium enhancement, LV-longitudinal strain, left atrium (LA) volume-index, and LA-conduit strain).

Conclusion
Pressure reversal during systolic–diastolic transition was observed in one-third of DCM patients, and reversal of blood flow direction predicted worse outcome. In the absence of pressure reversal, lower systolic ejection force, E-wave decelerative force (end of passive LV filling), and overall LV-IVPG are powerful predictors of outcome, independent of clinical and imaging parameters.
Tele-orthodontics and sensor-based technologies: a systematic review of interventions that monitor and improve compliance of orthodontic patients
Authors: Wafaie Khaled , Rizk Mumen Z , Basyouni Mohamed E , Daniel Ben , Mohammed Hisham 
Published: May 2023

Summary

Background
Recent advances in orthodontics offer appealing tools to monitor compliance and designate protocols to enhance it.

Objective
This systematic review of systematic reviews (SRs) aimed to assess the effectiveness of digitized communication methods and sensor-based devices that track compliance in orthodontic patients.

Search methods
Five electronic databases (PubMed, Web of Science, MEDLINE, PsycINFO, and EMBASE) were searched from database inception up to 4 December 2022.

Selection criteria
SRs using digitized systems and sensor-based technologies to monitor and/or improve compliance with orthodontic treatment or during an active retention phase were included.

Data collection and analysis
Study selection, data extraction, and risk of bias assessment using the AMSTAR 2 tool were performed independently by two review authors. A qualitative synthesis of outcomes from moderate- and high-quality SRs was provided, and evidence was graded in accordance with a scale of statements.

Results
A total of 846 unique citations were retrieved. After study selection, 18 SRs met the inclusion criteria, and 9 moderate- and high-quality reviews were further integrated into the qualitative synthesis. Digitized communication methods were found to be effective in improving compliance with oral hygiene practices and adherence to orthodontic appointments. Monitoring removable appliance wear with microsensors revealed sub-optimal levels of compliance with wear instructions of intra-oral and extra-oral appliances. One review discussed the informational value of social media platforms and their importance in guiding the decision-making process to seek orthodontic treatment and compliance-related experiences.

Limitations
The variability in the quality of included SRs and the limited number of primary studies on certain outcomes present as limitations within this overview.

Conclusions
The integration of tele-orthodontics and sensor-based technologies to improve and monitor compliance within orthodontic practices is promising. There is sufficient evidence that establishing communication channels with orthodontic patients through reminders and audiovisual systems positively impact their oral hygiene practices throughout orthodontic treatment. However, understanding the informational value of social media as communication channels between clinicians and their patients, and their overall effect on modulating compliance is still insufficient.

Registration
CRD42022331346.
Breadwinner, bread maker: the gender division of labour in 1930s rural Italy
Authors: Mancini Giulia 
Published: May 2023

Abstract
This paper uses microdata assembled from a collection of family monographs to examine female work among rural households in interwar Italy. It finds that female employment in agriculture was very high (approximately 80 percent), which contradicts available estimates from population censuses (50 percent or less). Yet despite the pervasiveness of female work, time use remained extremely segregated by gender—women devoted less than half as many hours as men to paid work, instead specializing in producing services for the family. These results substantiate the calls for caution in interpreting standard labour market indicators, such as labour force participation, in the preindustrial past.
Ornaments indicate parasite load only if they are dynamic or parasites are contagious
Authors: Dougherty Liam R , Rovenolt Faith , Luyet Alexia , Jokela Jukka , Stephenson Jessica F 
Published: May 2023

AbstractChoosing to mate with an infected partner has several potential fitness costs, including disease transmission and infection-induced reductions in fecundity and parental care. By instead choosing a mate with no, or few, parasites, animals avoid these costs and may also obtain resistance genes for offspring. Within a population, then, the quality of sexually selected ornaments on which mate choice is based should correlate negatively with the number of parasites with which a host is infected (“parasite load”). However, the hundreds of tests of this prediction yield positive, negative, or no correlation between parasite load and ornament quality. Here, we use phylogenetically controlled meta-analysis of 424 correlations from 142 studies on a wide range of host and parasite taxa to evaluate explanations for this ambiguity. We found that ornament quality is weakly negatively correlated with parasite load overall, but the relationship is more strongly negative among ornaments that can dynamically change in quality, such as behavioral displays and skin pigmentation, and thus can accurately reflect current parasite load. The relationship was also more strongly negative among parasites that can transmit during sex. Thus, the direct benefit of avoiding parasite transmission may be a key driver of parasite-mediated sexual selection. No other moderators, including methodological details and whether males exhibit parental care, explained the substantial heterogeneity in our data set. We hope to stimulate research that more inclusively considers the many and varied ways in which parasites, sexual selection, and epidemiology intersect.
The Effects of an Advanced Air Purification Technology on Environmental and Clinical Outcomes in a Long-Term Care Facility
Authors: Urrutia Alicia R , Schlener Susan D , Eid Sherrine , Bock Kelly A , Worrilow Kathryn C 
Published: May 2023

Abstract

Background
Long-term care facilities (LTCFs) are constantly working to reduce sources of infectious pathogens to improve resident care. LTCF residents are particularly susceptible to health care-associated infections (HAIs), many of which originate from the air. An advanced air purification technology (AAPT) was designed to comprehensively remediate volatile organic compounds (VOCs) and all airborne pathogens including all airborne bacteria, fungi, and viruses. The AAPT contains a unique combination of proprietary filter media, high-dose ultraviolet germicidal irradiation, and high-efficiency particulate air (HEPA) filtration.

Methods
The AAPT was installed in an LTCF’s heating, ventilation, and air-conditioning ductwork and 2 floors were studied: the study floor with comprehensive AAPT remediation and HEPA filtration and the control floor with only HEPA filtration. VOC loading and airborne and surface pathogen loading were measured in 5 locations on both floors. Clinical metrics such as HAI rates were also studied.

Results
There was a statistically significant 98.83% reduction in airborne pathogens, which are responsible for illness and infection, an 89.88% reduction in VOCs, and a 39.6% reduction in HAIs. Surface pathogen loading was reduced in all locations except 1 resident room where the detected pathogens were linked to direct touch.

Conclusions
The removal of airborne and surface pathogens by the AAPT led to a dramatic reduction in HAIs. The comprehensive removal of airborne contaminants has a direct positive impact on resident wellness and quality of life. It is critical that LTCFs incorporate aggressive airborne purification methods with their current infection control protocols.
TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors
Authors: Hoffmann Markus , Trummer Nico , Schwartz Leon , Jankowski Jakub , Lee Hye Kyung , Willruth Lina-Liv , Lazareva Olga , Yuan Kevin , Baumgarten Nina , Schmidt Florian , Baumbach Jan , Schulz Marcel H , Blumenthal David B , Hennighausen Lothar , List Markus 
Published: May 2023

Abstract

Background
Eukaryotic gene expression is controlled by cis-regulatory elements (CREs), including promoters and enhancers, which are bound by transcription factors (TFs). Differential expression of TFs and their binding affinity at putative CREs determine tissue- and developmental-specific transcriptional activity. Consolidating genomic datasets can offer further insights into the accessibility of CREs, TF activity, and, thus, gene regulation. However, the integration and analysis of multimodal datasets are hampered by considerable technical challenges. While methods for highlighting differential TF activity from combined chromatin state data (e.g., chromatin immunoprecipitation [ChIP], ATAC, or DNase sequencing) and RNA sequencing data exist, they do not offer convenient usability, have limited support for large-scale data processing, and provide only minimal functionality for visually interpreting results.

Results
We developed TF-Prioritizer, an automated pipeline that prioritizes condition-specific TFs from multimodal data and generates an interactive web report. We demonstrated its potential by identifying known TFs along with their target genes, as well as previously unreported TFs active in lactating mouse mammary glands. Additionally, we studied a variety of ENCODE datasets for cell lines K562 and MCF-7, including 12 histone modification ChIP sequencing as well as ATAC and DNase sequencing datasets, where we observe and discuss assay-specific differences.

Conclusion
TF-Prioritizer accepts ATAC, DNase, or ChIP sequencing and RNA sequencing data as input and identifies TFs with differential activity, thus offering an understanding of genome-wide gene regulation, potential pathogenesis, and therapeutic targets in biomedical research.
On the benefits of self-taught learning for brain decoding
Authors: Germani Elodie , Fromont Elisa , Maumet Camille 
Published: May 2023

Abstract

Context
We study the benefits of using a large public neuroimaging database composed of functional magnetic resonance imaging (fMRI) statistic maps, in a self-taught learning framework, for improving brain decoding on new tasks. First, we leverage the NeuroVault database to train, on a selection of relevant statistic maps, a convolutional autoencoder to reconstruct these maps. Then, we use this trained encoder to initialize a supervised convolutional neural network to classify tasks or cognitive processes of unseen statistic maps from large collections of the NeuroVault database.

Results
We show that such a self-taught learning process always improves the performance of the classifiers, but the magnitude of the benefits strongly depends on the number of samples available both for pretraining and fine-tuning the models and on the complexity of the targeted downstream task.

Conclusion
The pretrained model improves the classification performance and displays more generalizable features, less sensitive to individual differences.
3-D shallow shear velocity structure of the Jakarta Basin from transdimensional ambient noise tomography
Authors: Ry Rexha Verdhora , Cummins Phil R , Hejrani Babak , Widiyantoro Sri 
Published: May 2023

SUMMARYSituated on the northern coast of the Indonesian island of Java, Jakarta and its metropolitan area (Greater Jakarta) are subject to significant earthquake hazards from a subduction zone south of Java and nearby active crustal faults. The seismic risk may be even higher because Greater Jakarta resides on a sedimentary basin filled with thick Pliocene–Pleistocene sediments. A comprehensive study of Jakarta Basin's properties and geometry is important for creating robust seismic hazard and risk assessments. The main objective of this study is to develop a 3-D model of Jakarta Basin's shallow shear-wave velocity (VS ) structure and improve on previous models that did not cover the basin edge due to the extent of data coverage. Between April and October 2018, we deployed a new temporary seismic network to extend the spatial coverage beyond that of a previous deployment in 2013, and sampled 143 locations through sequential deployments of 30 broad-band sensors covering Jakarta and its adjacent areas. We conducted a 2-stage transdimensional Bayesian inversion of Rayleigh wave phase velocity dispersion curves derived from seismic noise. To begin, we applied tomography and constructed 2-D phase velocity maps for periods 1–5 s. Then, at each point in a regular grid defined on these maps, we invert each dispersion curve into 1-D depth profiles of VS . Finally, these profiles at gridpoints with ∼2 km spacing are interpolated to form a pseudo-3-D VS model. Our results reveal the edge of the Pliocene–Pleistocene sediments along the south. Also, we resolve a basement offset across south Jakarta that we suggest may be related to the western extension of the Baribis Fault (alternatively, the West Java Backarc Thrust). We recommend using this 3-D model of the Jakarta Basin for scenario earthquake ground motion simulations. Such simulations would help establish how important it might be to re-assess seismic hazard and risk in Greater Jakarta so that basin resonance and amplification are considered.
Robust global mantle flow trajectories and their validation via dynamic topography histories
Authors: Taiwo A , Bunge H-P , Schuberth B S A , Colli L , Vilacis B 
Published: May 2023

SUMMARYThe ability to construct time-trajectories of mantle flow is crucial to move from studies of instantaneous to time-dependent earth models and to exploit geological constraints for mantle convection modelling. However mantle convection is chaotic and subject to the butterfly effect: the trajectories of two identical mantle convection models initialized with slightly different temperature fields diverge exponentially in time until they become uncorrelated. Because one may use seismic inferences about the mantle state as a starting or terminal condition to project mantle flow forward or backward in time, and because the seismic inference is invariably subject to uncertainties, this seemingly would rule out any construction of robust mantle flow trajectories. Here we build upon earlier work which showed that assimilation of the horizontal component of the surface velocity field from a known reference model allows one to overcome the butterfly effect and to construct robust mantle flow trajectories, regardless of the choice of the initial state perturbation. To this end, we use high resolution 3-D spherical mantle convection models in four end-member configurations: an isoviscous purely internally heated model, an isoviscous purely bottom heated model, a model with a radial increase in viscosity along with pure internal heating as well as a model that combines the effects of radial viscosity increase, internal and bottom heating. In order to capture the impact of seismic filtering, we perturb the initial temperature fields of these end-member models through either radial or horizontal smoothing of the temperature field or the application of the tomographic filter of seismic model S20RTS. We assess the quality of the constructed model trajectories via a number of statistical measures as well as comparisons of their dynamic topography histories. The latter is an essential step since mantle flow cannot be directly observed but has to be inferred via its surface manifestations. Importantly, linking mantle flow to surface observations yields patterns representable on a latitude–longitude grid similar to meteorological observables such as precipitation. This invites the application of meteorological quality metrics, such as the power ratio and Taylor diagram, to assess the quality of mantle flow trajectories. We introduce these metrics for the first time in the context of mantle convection and demonstrate their viability based on the compact manner in which they summarize model performance.
Predictors of digital technology-based mental health programs in young adults for mental health support
Authors: Perich Tania , Andriessen Karl 
Published: May 2023

Summary
Technology-based platforms are widely used to deliver mental health support. The aim of this study was to explore factors associated with the use of technology-based mental health platforms by students who may be vulnerable to develop a mental health condition in an Australian psychology student sample. Participants were 1146 students (18–30 years) at an Australian university who completed a survey regarding their current mental health symptoms and lifetime use of technology-based platforms. The student’s country of birth, having a previous mental health diagnosis, having a family member with a mental illness and greater stress scores predicted any type of online/technology-use. Greater symptoms correlated with lower helpfulness of online mental health programs and websites. Apps were perceived as more helpful by those with a mental illness history and associated with higher stress scores. The use of any type of technology-based platform was high in the sample overall. Further research may clarify why mental health programs are less popular, and how these platforms may be utilised to support mental health outcomes.
Bi-allelic variants inASTLcause abnormal fertilization or oocyte maturation defects
Authors: Zeng Yang , Chen Biaobang , Sun Yiming , Yang Aijun , Wu Ling , Li Bin , Mu Jian , Zhang Zhihua , Wang Wenjing , Zhou Zhou , Dong Jie , Liu Ruyi , Luo Yuxi , Sun Xiaoxi , Sang Qing , Kuang Yanping , Wang Lei 
Published: May 2023

AbstractFertilization is a fundamental process of development, and the blocking mechanisms act at the zona pellucida (ZP) and plasma membrane of the egg to prevent any additional sperm from binding, permeating and fusing after fertilization. In clinical practice, some couples undergoing recurrent IVF failures that mature oocytes had abnormal fertilization for unknown reason. Ovastacin encoded by ASTL cleave the ZP protein ZP2 and play a key role in preventing polyspermy. Here, we identified bi-allelic variants in ASTL that are mainly characterized by fertilization problems in humans. All four independent affected individuals had bi-allelic frameshift variants or predicted damaging missense variants, which follow a Mendelian recessive inheritance pattern. The frameshift variants significantly decreased the quantity of ASTL protein in vitro. And all missense variants affected the enzymatic activity that cleaves ZP2 in mouse egg in vitro. Three knock-in female mice (corresponding to three missense variants in patients) all show subfertility due to low embryo developmental potential. This work presents strong evidence that pathogenic variants in ASTL cause female infertility and provides a new genetic marker for the diagnosis of fertilization problems.
Constitutional parasitism, camouflage, and pretense: Shaping citizenship through subterfuge
Authors: Ahmed Farrah 
Published: May 2023

Abstract
Constitutional rights or values are sometimes used by governments to disguise, mask, or misdirect attention from the true nature of their actions. Such strategies of subterfuge are, by their nature, difficult to identify and prove. This article responds to the challenge of identifying and proving subterfuge by demonstrating three types of strategies of subterfuge governments may deploy. To that end it uses a close study of three strategies deployed in the Indian government’s defense of a controversial citizenship law. The first strategy is the introduction and incubation of nationalist versions of constitutional values, exemplified by the Indian government as it planted an alternative nationalist vision of secularism in legal and public discourse about citizenship. The second strategy is the appropriation of constitutional rights to serve as camouflage to deflect criticism of the government’s true aims; the Indian government illustrated this strategy as it used religious freedom to camouflage its goal of removing “infiltrators.” The third strategy is the appropriation of human rights precedents for state action which in fact breaches human rights. The article demonstrates how we might prove, identify, and establish each of these strategies, when they are at work.
Transparency in Infectious Disease Research: Meta-research Survey of Specialty Journals
Authors: Zavalis Emmanuel A , Contopoulos-Ioannidis Despina G , Ioannidis John P A 
Published: May 2023

Abstract

Background
Infectious diseases carry large global burdens and have implications for society at large. Therefore, reproducible, transparent research is extremely important.

Methods
We evaluated transparency indicators (code and data sharing, registration, and conflict and funding disclosures) in the 5340 PubMed Central Open Access articles published in 2019 or 2021 in the 9 most cited specialty journals in infectious diseases using the text-mining R package, rtransparent.

Results
A total of 5340 articles were evaluated (1860 published in 2019 and 3480 in 2021 [of which 1828 were on coronavirus disease 2019, or COVID-19]). Text mining identified code sharing in 98 (2%) articles, data sharing in 498 (9%), registration in 446 (8%), conflict of interest disclosures in 4209 (79%), and funding disclosures in 4866 (91%). There were substantial differences across the 9 journals: 1%–9% for code sharing, 5%–25% for data sharing, 1%–31% for registration, 7%–100% for conflicts of interest, and 65%–100% for funding disclosures. Validation-corrected imputed estimates were 3%, 11%, 8%, 79%, and 92%, respectively. There were no major differences between articles published in 2019 and non-COVID-19 articles in 2021. In 2021, non-COVID-19 articles had more data sharing (12%) than COVID-19 articles (4%).

Conclusions
Data sharing, code sharing, and registration are very uncommon in infectious disease specialty journals. Increased transparency is required.