bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Association of Post-COVID-19–Related Symptoms and Preceding Severe Acute Respiratory Syndrome Coronavirus 2 Infection Among Fully Vaccinated Paramedics in Canada
Authors: Asamoah-Boaheng Michael , Grunau Brian , Karim Mohammad Ehsanul , Kirkham Tracy L , Demers Paul A , MacDonald Chris , Goldfarb David M 
Published: November 2023

Abstract
This study investigated the association between previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and risk of symptoms associated with post-COVID conditions among fully vaccinated paramedics in Canada. We included vaccinated paramedics who provided blood sample and questionnaire data on the same date during the study period. We examined the presence of symptoms associated with post-COVID conditions and depression severity against prior SARS-CoV-2 infection categories. Compared to the “no previous SARS-CoV-2 infection” group, there was no detected association between known prior SARS-CoV-2 infection (odds ratio [OR], 1.42 [95% confidence interval {CI}, 0.96–2.09]), nor unknown prior SARS-CoV-2 infection (OR, 0.54 [95% CI, 0.29–1.00]), and the presence of symptoms associated with post-COVID conditions.
Adaptive focus beam migration method in visco-acoustic media
Authors: Zhang Kai , Pan Yiming , Sang Yunyun , Xu Xuecheng , Meng Fankun 
Published: November 2023

Abstract
Owing to the prevalent viscosity in the subsurface medium, seismic waves experience amplitude attenuation effects during their propagation in visco-acoustic media. Therefore, it is crucial to develop a method that can compensate for wavelet amplitude attenuation and enhance imaging quality. In this paper, we derive an expression for corrected ray complex travel time by introducing the quality factor Q. Additionally, we modify the classical Gaussian beam propagation operator to an adaptive focus type propagation operator. Our research presents an adaptive focused beam migration imaging method specifically designed for viscous acoustic media, incorporating a combination of traditional Gaussian beam migration imaging methods. In comparison to traditional migration methods, the proposed approach achieves energy focusing along the phase axis and significantly improves imaging quality. The validity and effectiveness of our method are confirmed through the obtained imaging results.
When mRNA technology meets patent law: innovation, barriers and public health
Authors: Adekola Tolulope Anthony 
Published: November 2023

Abstract
The success of messenger ribonucleic acid (mRNA) technology during the Coronavirus disease (COVID-19) pandemic has ushered in a new era of vaccine and therapeutic development. In this rapidly evolving field, top biotech and biopharma companies are constantly searching for new opportunities to create innovative treatments and vaccines. However, the landscape of mRNA patents is getting complicated and dense, with an accumulation of partially overlapping patent rights that require multiple rights holders’ permission for use and commercialization. Additionally, there are several pending patent lawsuits related to key components of mRNA platform technologies, with strong implications for follow-on innovation and technology diffusion within the field. The case of mRNA technology—as often happens with emerging technologies—is therefore emblematic of the policy dilemma faced by patent law of how to balance economic incentives in a setting of cumulative innovation. This article maps out relevant legal factors that, under different conditions, might aggravate or mitigate the potential negative effects of patents in the field. Further, it sets a framework for more targeted examination of the identified issues.
A groupwise approach for inferring heterogeneous treatment effects in causal inference
Authors: Park Chan , Kang Hyunseung 
Published: November 2023

Abstract
Recently, there has been great interest in estimating the conditional average treatment effect using flexible machine learning methods. However, in practice, investigators often have working hypotheses about effect heterogeneity across pre-defined subgroups of study units, which we call the groupwise approach. The paper compares two modern ways to estimate groupwise treatment effects, a non-parametric approach and a semi-parametric approach, with the goal of better informing practice. Specifically, we compare (a) the underlying assumptions, (b) efficiency and adaption to the underlying data generating models, and (c) a way to combine the two approaches. We also discuss how to test a key assumption concerning the semi-parametric estimator and to obtain cluster-robust standard errors if study units in the same subgroups are correlated. We demonstrate our findings by conducting simulation studies and reanalysing the Early Childhood Longitudinal Study.
Some statistical remarks on GRBs jointly detected by Fermi and Swift satellites
Authors: Pinter Sandor , Balazs Lajos G , Bagoly Zsolt , Toth L Viktor , Racz Istvan I , Horvath Istvan 
Published: November 2023

ABSTRACT
We made statistical analysis of the Fermi GBM and Swift BAT observational material, accumulated over 15 yr. We studied how GRB parameters (T90 duration, fluence, and peak flux) that were observed by only one satellite differ from those observed by both. In the latter case, it was possible to directly compare the values of the parameters that both satellites measured. The GRBs measured by both satellites were identified using the k-nearest neighbours algorithm in Euclidean distance. In the parameter space we determined the direction in which the jointly detected GRBs differ most from those detected by only one of the instruments using linear discriminant analyses. To get the strength of the relationship between the parameters obtained from the GBM and BAT, a canonical correlation was performed. The GBM and BAT T90 distributions were fitted with a linear combination of lognormal functions. The optimal number of such functions required for fit is two for GBM and three for BAT. Contrary to the widely accepted view, we found that the number of lognormal functions required for fitting the observed distribution of GRB durations does not allow us to deduce the number of central engine types responsible for GRBs.
Small-scale stellar haloes: detecting low surface brightness features in the outskirts of Milky Way dwarf satellites
Authors: Jensen Jaclyn , Hayes Christian R , Sestito Federico , McConnachie Alan W , Waller Fletcher , Smith Simon E T , Navarro Julio , Venn Kim A 
Published: November 2023

ABSTRACT
Dwarf galaxies are valuable laboratories for dynamical studies related to dark matter and galaxy evolution, yet it is currently unknown just how physically extended their stellar components are. Satellites orbiting the Galaxy’s potential may undergo tidal stripping by the host, or alternatively, may themselves have accreted smaller systems whose debris populates the dwarf’s own stellar halo. Evidence of these past interactions, if present, is best searched for in the outskirts of the satellite. However, foreground contamination dominates the signal at these large radial distances, making observation of stars in these regions difficult. In this work, we introduce an updated algorithm for application to Gaia data that identifies candidate member stars of dwarf galaxies, based on spatial, colour–magnitude and proper motion information, and which allows for an outer component to the stellar distribution. Our method shows excellent consistency with spectroscopically confirmed members from the literature despite having no requirement for radial velocity information. We apply the algorithm to all ∼60 Milky Way dwarf galaxy satellites, and we find nine dwarfs (Boötes 1, Boötes 3, Draco 2, Grus 2, Segue 1, Sculptor, Tucana 2, Tucana 3, and Ursa Minor) that exhibit evidence for a secondary, low-density outer profile. We identify many member stars which are located beyond 5 half-light radii (and in some cases, beyond 10). We argue these distant stars are likely tracers of dwarf stellar haloes or tidal streams, though ongoing spectroscopic follow-up will be required to determine the origin of these extended stellar populations.
SCAN: Spatiotemporal Cloud Atlas for Neural cells
Authors: Deng Yushan , Lu Yubao , Li Mengrou , Shen Jiayi , Qin Siying , Zhang Wei , Zhang Qiang , Shen Zhaoyang , Li Changxiao , Jia Tengfei , Chen Peixin , Peng Lingmin , Chen Yangfeng , Zhang Wensheng , Liu Hebin , Zhang Liangming , Rong Limin , Wang Xiangdong , Chen Dongsheng 
Published: November 2023

Abstract
The nervous system is one of the most complicated and enigmatic systems within the animal kingdom. Recently, the emergence and development of spatial transcriptomics (ST) and single-cell RNA sequencing (scRNA-seq) technologies have provided an unprecedented ability to systematically decipher the cellular heterogeneity and spatial locations of the nervous system from multiple unbiased aspects. However, efficiently integrating, presenting and analyzing massive multiomic data remains a huge challenge. Here, we manually collected and comprehensively analyzed high-quality scRNA-seq and ST data from the nervous system, covering 10 679 684 cells. In addition, multi-omic datasets from more than 900 species were included for extensive data mining from an evolutionary perspective. Furthermore, over 100 neurological diseases (e.g. Alzheimer's disease, Parkinson's disease, Down syndrome) were systematically analyzed for high-throughput screening of putative biomarkers. Differential expression patterns across developmental time points, cell types and ST spots were discerned and subsequently subjected to extensive interpretation. To provide researchers with efficient data exploration, we created a new database with interactive interfaces and integrated functions called the Spatiotemporal Cloud Atlas for Neural cells (SCAN), freely accessible at http://47.98.139.124:8799 or http://scanatlas.net. SCAN will benefit the neuroscience research community to better exploit the spatiotemporal atlas of the neural system and promote the development of diagnostic strategies for various neurological disorders.
DiSignAtlas: an atlas of human and mouse disease signatures based on bulk and single-cell transcriptomics
Authors: Zhai Zhaoyu , Lin Zhewei , Meng Xuehang , Zheng Xiao , Du Yujia , Li Zhi , Zhang Xuelu , Liu Chang , Zhou Lu , Zhang Xu , Tian Zhihao , Ma Qinfeng , Li Jinhao , Li Qiang , Pan Jianbo 
Published: November 2023

AbstractMolecular signatures are usually sets of biomolecules that can serve as diagnostic, prognostic, predictive, or therapeutic markers for a specific disease. Omics data derived from various high-throughput molecular biology technologies offer global, unbiased and appropriately comparable data, which can be used to identify such molecular signatures. To address the need for comprehensive disease signatures, DiSignAtlas (http://www.inbirg.com/disignatlas/) was developed to provide transcriptomics-based signatures for a wide range of diseases. A total of 181 434 transcriptome profiles were manually curated from studies involving 1836 nonredundant disease types in humans and mice. Then, 10 306 comparison datasets comprising both disease and control samples, including 328 single-cell RNA sequencing datasets, were established. Furthermore, a total of 3 775 317 differentially expressed genes in humans and 1 723 674 in mice were identified as disease signatures by analysing transcriptome profiles using commonly used pipelines. In addition to providing multiple methods for the retrieval of disease signatures, DiSignAtlas provides downstream functional enrichment analysis, cell type analysis and signature correlation analysis between diseases or species when available. Moreover, multiple analytical and comparison tools for disease signatures are available. DiSignAtlas is expected to become a valuable resource for both bioscientists and bioinformaticians engaged in translational research.
IMG/PR: a database of plasmids from genomes and metagenomes with rich annotations and metadata
Authors: Camargo Antonio Pedro , Call Lee , Roux Simon , Nayfach Stephen , Huntemann Marcel , Palaniappan Krishnaveni , Ratner Anna , Chu Ken , Mukherjeep Supratim , Reddy T B K , Chen I-Min A , Ivanova Natalia N , Eloe-Fadrosh Emiley A , Woyke Tanja , Baltrus David A , Castañeda-Barba Salvador , de la Cruz Fernando , Funnell Barbara E , Hall James P J , Mukhopadhyay Aindrila , Rocha Eduardo P C , Stalder Thibault , Top Eva , Kyrpides Nikos C 
Published: November 2023

AbstractPlasmids are mobile genetic elements found in many clades of Archaea and Bacteria. They drive horizontal gene transfer, impacting ecological and evolutionary processes within microbial communities, and hold substantial importance in human health and biotechnology. To support plasmid research and provide scientists with data of an unprecedented diversity of plasmid sequences, we introduce the IMG/PR database, a new resource encompassing 699 973 plasmid sequences derived from genomes, metagenomes and metatranscriptomes. IMG/PR is the first database to provide data of plasmid that were systematically identified from diverse microbiome samples. IMG/PR plasmids are associated with rich metadata that includes geographical and ecosystem information, host taxonomy, similarity to other plasmids, functional annotation, presence of genes involved in conjugation and antibiotic resistance. The database offers diverse methods for exploring its extensive plasmid collection, enabling users to navigate plasmids through metadata-centric queries, plasmid comparisons and BLAST searches. The web interface for IMG/PR is accessible at https://img.jgi.doe.gov/pr. Plasmid metadata and sequences can be downloaded from https://genome.jgi.doe.gov/portal/IMG_PR.
Rapid characterization of anti-CRISPR proteins and optogenetically engineered variants using a versatile plasmid interference system
Authors: Song Guoxu , Tian Chunhong , Li Jiahui , Zhang Fei , Peng Yuxin , Gao Xing , Tian Yong 
Published: November 2023

Abstract
Anti-CRISPR (Acr) proteins are encoded by mobile genetic elements to overcome the CRISPR immunity of prokaryotes, displaying promises as controllable tools for modulating CRISPR-based applications. However, characterizing novel anti-CRISPR proteins and exploiting Acr-related technologies is a rather long and tedious process. Here, we established a versatile plasmid interference with CRISPR interference (PICI) system in Escherichia coli for rapidly characterizing Acrs and developing Acr-based technologies. Utilizing the PICI system, we discovered two novel type II-A Acrs (AcrIIA33 and AcrIIA34), which can inhibit the activity of SpyCas9 by affecting DNA recognition of Cas9. We further constructed a circularly permuted AcrIIA4 (cpA4) protein and developed optogenetically engineered, robust AcrIIA4 (OPERA4) variants by combining cpA4 with the light-oxygen-voltage 2 (LOV2) blue light sensory domain. OPERA4 variants are robust light-dependent tools for controlling the activity of SpyCas9 by approximately 1000-fold change under switching dark-light conditions in prokaryotes. OPERA4 variants can achieve potent light-controllable genome editing in human cells as well. Together, our work provides a versatile screening system for characterizing Acrs and developing the Acr-based controllable tools.
Real-Life Effectiveness of Smoking Cessation Delivery Modes: A Comparison Against Telephone Counseling and the Role of Individual Characteristics and Health Conditions in Quit Success
Authors: Poole Nikita L , Candel Math J J M , Willemsen Marc C , van den Brand Floor A 
Published: November 2023

AbstractIntroductionProfessional behavioral counseling for smoking cessation can be delivered in many forms, which may not work equally well for everyone. We aim to explore in a real-world setting whether different delivery modes yield different rates of quit success and whether quit success varies based on gender, age, educational level, and being treated for a health condition.Aims and MethodsWe used monitoring data (n = 13 747) from a smoking cessation counseling provider in the Netherlands (September 2018 to August 2021) to compare differences in quit success immediately after the end of counseling and at 12-month follow-up between telephone and other modes of counseling. Participants chose which mode of counseling they received. At the 12-month follow-up, we also examined differences in quit success based on demographic characteristics and whether one is being treated for various health conditions.ResultsParticipants of in-person group counseling and online in-company group counseling were significantly more likely to have quit immediately after the counseling compared with telephone counseling (OR = 1.25, 95% CI = 1.08–1.44; OR = 1.63, 95% CI = 1.18–2.24). Analyses revealed no significant differences in quit success between telephone and other modes of counseling after 12 months. Those treated for a respiratory or psychological condition were less likely to have maintained quit success, as were women, and participants with a lower educational level.ConclusionsWhen chosen by oneself, the mode of smoking cessation counseling received does not appear to be important for long-term quit success. However, certain groups warrant extra support to prevent excessive program attrition and unsuccessful quit attempts.ImplicationsOur findings suggest that when chosen by oneself, the delivery mode of smoking cessation counseling does not appear to be important for long-term quit success. This finding is of particular relevance for those who are unable to attend in-person cessation counseling due to, for instance, reduced accessibility or mobility. We also found that women, lower educated, and younger participants were more likely to dropout of the cessation program or to not have maintained a quit attempt, signaling that disparities in smoking cessation persist when standardized counseling is given, and therefore more tailored counseling may be necessary for these groups.
Chemicals in Cigarette Flavor Capsules From Guatemala and Mexico
Authors: Mus Sophia , Barrientos Inti , Vidaña-Pérez Desirée , Monzon José , Barnoya Joaquin , Page Michelle K , Block Ashleigh C , Goniewicz Maciej L , O’Connor Richard J , Thrasher James F 
Published: November 2023

Abstract

Background
The global market share for cigarettes with flavor capsules has grown exponentially over the last decade, particularly in Latin America. When smoking, consumers crush a liquid capsule in the filter that flavors the smoke. Little is known about the chemical constituents of the liquids in capsules or their potential health risks.

Methods
Based on consumer data and availability in Mexico and Guatemala, 31 flavor capsule brands were purchased (19 and 12, respectively) in 2020. Since some cigarettes included multiple capsules in a stick (up to 2) or pack (up to 4), the final analytic sample included 50 capsules. We conducted qualitative and quantitative analyses using gas chromatography with mass spectrometry (GC-MS, Agilent Technologies, Inc)

Results
The qualitative analysis detected 296 compounds (range = 9–67 per capsule), and all capsules contained menthol. Among the compounds detected in more than half the sample were limonene, menthone, benzaldehyde, eucalyptol, and triacetin. Traces of nicotine were found in 22% of the capsules. In the quantitative analysis, menthol concentrations were 33 times greater than the next most common compound (limonene). Benzyl alcohol and vanillin were also found in high concentrations. Comparing same-brand varieties across countries showed substantial variability in the concentration of menthol and other compounds.

Conclusions
Menthol is an omnipresent constituent in capsule cigarettes, perhaps because of its anesthetizing and reinforcing addictive properties. Other compounds found are toxic, potentially carcinogenic, and may enhance addictiveness. Variance in the presence and concentrations of such compounds highlights the importance of product standards to regulate capsule content.

Implications
This study evaluated the chemical content of capsule cigarettes from two Latin American countries that have two of the highest market shares for capsule cigarettes worldwide. Compared to other studies, our assessment included brand varieties from two countries to compare the differences in chemical content by country. Our results yield that menthol is found in all capsules, and that other chemicals found may prolong nicotine exposure and therefore reinforce the addictive properties of cigarettes.
Banking structural reforms and top income shares: regulate or deregulate?
Authors: Casti Carola 
Published: November 2023

Abstract
This article investigates if, and to what extent, banking structural reforms may affect the top income shares over time. Canada and Italy are used as case studies, as both countries undertook a major deregulation and liberalization process within their banking sector in the early 1990s. These banking policies aimed at privatizing the banking sector and reintroducing the quasi universal banking model. The evaluation of these policy packages is undertaken by implementing the Synthetic Control Method. Findings point out, overall, a robust and substantial increase of some of the top income shares in both countries, over the post-deregulation period. This work contributes by also identifying the main potential mechanisms—both direct and indirect—via which banking deregulation might have operated.
The Poems and Psalms of the Hebrew Bible
Authors: Gillingham S E 
Published: November 2023

Abstract
Because of the command not to make `graven images' the creativity of the ancient Jews was always somewhat constrained: instead of the visual arts, poetry and story became the two most important forms which depicted the relationship between God and his people. This book concentrates on the poetry of the Hebrew Bible. After considering the essential elements of Hebrew verse, it looks as the most familiar poems - the Psalms, the Song of Solomon, and the poetry in Job and Proverbs - as well as at less familiar examples of poems which by contrast are embedded in narrative, such as war poetry, harvest hymns, elegies, prayers of protest, and thanksgiving songs. Much of this poetry suggests an earlier setting in the life of the people - from a more popular family or clan setting as well as the official royal court, and from local outlying sanctuaries as well as at the Temple in Jerusalem. Hence although these biblical poems should be understood primarily as ancient literary texts, many also have a setting in life beyond the text, offering a broader framework of reference on account of their pre-literary history. This is a study for those who already have some grounding in the contents of the Hebrew Bible, but it is also designed to be read by non-specialists, and no knowledge of Hebrew is presumed. A select bibliography following each chapter offers suggestions for further study. This study completes the Oxford Bible Series.
Overview of epidemiology, classification, and aetiology
Authors: Mayou Richard , Bass Christopher , Sharpe Michael 
Published: November 2023

Abstract
The editors emphasize the need to take a comprehensive view of the many types of acute and chronic functional symptoms which occur both in the general population and in all medical settings. They suggest that existing psychiatric and other classifications are inadequate and restrict and distort discussion. Instead it is proposed that functional symptoms can be more satisfactorily classified in terms of five separate dimensions. The aetiology of functional somatic symptoms is reviewed and a multicausal and an interactive model, which includes both physical and psychological factors, is proposed. This approach avoids arbitrary distinctions between organic and psychological causations. Variants of this model are implicit in most of the other chapters in this book.