bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards Real-Time Airborne Pathogen Sensing: Electrostatic Capture and On-Chip LAMP Based Detection of Airborne Viral Pathogens
Authors: Jayakumar Nitin , Caffrey Veronique , Caffrey Michael , Paprotny Igor 
Published: January 2024

AbstractConsiderable loss of life, economic slowdown, and public health risk associated with the transmission of airborne respiratory pathogens was underscored by the recent COVID-19 pandemic. Airborne transmission of zoonotic diseases such as the highly pathogenic avian influenza (HPAI) and porcine reproductive and respiratory syndrome virus (PRRSV) has caused major disruptions to domestic and global food security. Current ambient air pathogen monitoring systems involves the collection of air samples from indoor settings suspected of viral contamination, followed by subsequent processing of capture samples to determine the presence and species of airborne viral matter. Nucleic acid amplification techniques are considered the gold standard for pathogen diagnostics. Currently, the necessary extraction and purification of viral RNA from air collector systems prior to sample analysis is both time consuming and performed manually. A monitoring system with separate air sampling and biochemical detection procedures is prone to delay the response to emergent viral threats. In this paper, we present a pathogen monitoring system that overcomes these limitations related to extraction and purification of viral samples and lays the groundwork for a real-time monitor for airborne viral pathogens. We demonstrate a high flow electrostatic precipitator system, that uses small collection wells as counter electrodes for pathogen collection. Integrated reverse-transcriptase loop-mediated isothermal amplification (RT-LAMP) is used for detection of captured viral matter within wells. On-chip heating of collection wells is enabled by integrated planar heaters and small volumes of reagent (30 μL) directly to the collection wells. We present the design of such a system and show experimental results that demonstrate the use of this device for detection of aerosolized SARS-CoV-2 virus like particles (VLPs), a model pathogen for SARV-CoV-2.
DNA methylation enables recurrent endogenization of giant viruses in an animal relative
Authors: Sarre Luke A. , Kim Iana V. , Ovchinnikov Vladimir , Olivetta Marine , Suga Hiroshi , Dudin Omaya , Sebé-Pedrós Arnau , de Mendoza Alex 
Published: January 2024

Abstract5-methylcytosine (5mC) is a widespread silencing mechanism that controls genomic parasites. However, in many eukaryotes 5mC has gained complex roles in gene regulation beyond parasite control. Animals are a quintessential case for 5mC evolution, as they show widespread variability across lineages, ranging from gene regulation and transposable element control to loss of this base modification. Here we show that the protist closely related to animalsAmoebidium appalachensefeatures both transposon and gene body methylation, a pattern reminiscent of invertebrates and plants. Unexpectedly, large hypermethylated regions of theAmoebidiumgenome derive from viral insertions, including hundreds of endogenized giant viruses contributing 14% of the encoded genes, to an extent never reported before in any eukaryotic genome. Using a combination of inhibitors and functional genomic assays, we demonstrate that 5mC silences these giant virus insertions. Moreover, alternativeAmoebidiumisolates show polymorphic giant virus insertions, highlighting a dynamic process of infection, endogenization and purging. Our results indicate that 5mC is critical for the controlled co-existence of newly acquired viral DNA into eukaryotic genomes, makingAmoebidiuma unique model to understand the hybrid origins of eukaryotic genomes.
Imaging the structural connectome with hybrid diffusion MRI-microscopy tractography
Authors: Zhu Silei , Huszar Istvan N. , Cottaar Michiel , Daubney Greg , Eichert Nicole , Hanayik Taylor , Khrapitchev Alexandre A. , Mars Rogier B. , Mollink Jeroen , Sallet Jerome , Scott Connor , Smart Adele , Jbabdi Saad , Miller Karla L. , Howard Amy F.D. 
Published: January 2024

AbstractNeuroanatomical tract tracing methods are fundamental in providing “gold standard” estimates of brain connectivity. However, tracer methods cannot be performed in humans and even in animals, we can only study projections from typically one or two injection sites per animal sacrificed. Orientation-sensitive microscopy techniques such as PLI provide an alternative where they can visualise detailed fibre orientations at the micron-scale across the whole brain. However, these methods are often most informative on orientations within the 2D imaging plane, with less reliable or missing through-plane information, restricting 3D tract reconstruction. Conversely, dMRI can estimate fibre orientations in 3D but at low resolution, which leads to many false positive and negative estimates of fibre trajectories.To facilitate reconstruction of the microscopy-informed connectome, we develop a data-fusion method that complements 2D microscopy with through-plane information from diffusion MRI to construct 3D hybrid orientations that are both maximally informed by the high-resolution microscopy, have whole-brain coverage and can be input into existing tractography pipelines. Diffusion MRI can be readily acquired prior to microscopy meaning the same method is translatable across species, including in humans. Here we apply our method to an existing open-access macaque dataset and demonstrate (1) whole-brain microscopy-informed tractography (2) the advantages of hybrid tractography in two known tractography challenges, the gyral bias and bottleneck problem (3) how hybrid tractography appears to outperform diffusion-only tractography when compared to tracer data and (4) the generalisability of our hybrid method to different microscopy contrasts, facilitating wider translation.
Long days induce adaptive secondary dormancy in seed of the Mediterranean plantAethionema arabicum
Authors: Mérai Zsuzsanna , Graeber Kai , Xu Fei , Dona Mattia , Lalatović Katarina , Wilhelmsson Per K.I. , Fernandez-Pozo Noe , Rensing Stefan A. , Leubner-Metzger Gerhard , Scheid Ortrun Mittelsten , Dolan Liam 
Published: January 2024

ABSTRACTSecondary dormancy is an adaptive trait that increases reproductive success by aligning seed germination with permissive conditions for seedling establishment.Aethionema arabicumis an annual plant and member of the Brassicaceae that grows in environments characterized by hot and dry summers.Aethionema arabicumseeds may germinate in early spring when seedling establishment is permissible. We demonstrate that long-day light regimes induce secondary dormancy in seed ofAethionema arabicum(CYP accession) repressing germination in summer when seedling establishment is riskier. Characterization of mutants screened for defective secondary dormancy demonstrated that RGL2 mediates repression of genes involved in GA signalling. Exposure to high temperature alleviates secondary dormancy, restoring germination potential. These data are consistent with the hypothesis that long-day-induced secondary dormancy and its alleviation by high temperatures, may be part of an adaptive response limiting germination to conditions permissive for seedling establishment in spring and autumn.
Pear flower and leaf microbiome dynamics during the naturally occurring spread ofErwinia amylovora
Authors: Oz Aia , Mairesse Orly , Raikin Shira , Hanani Hila , Dafny Yelin Mery , Sharon Itai 
Published: January 2024

AbstractErwinia amylovorais the causal pathogen of fire blight, a contagious disease that affects apple and pear trees and other members of the family Rosaceae. In this study, we investigated the population dynamics of the pear flower microbiome in an agricultural setting during the naturally occurring infection ofE. amylovora. Five potential factors were considered: collection date, the flower’s phenological stage, location on the tree, location within the orchard, and pear cultivar. The phenological stage and the collection date were identified as the most important factors associated with pear flower microbiome composition. The location of the tree in the orchard and the flower’s location on the tree had a marginal effect on the microbiome composition. The leaf microbiome reflected that of the abundant phenological stage on each date. The flower microbiome shifted towardsE. amylovora,dominating the community as time and phenological stages progressed, leading to decreased community diversity. The strain population ofE. amylovoraremained similar throughout the entire collection period. In contrast, other taxa, including Pseudomonas, Pantoea, Lactobacillus, and Sphingomonas, were represented by dozens of amplicon sequence variants (ASVs), and different succession patterns in their populations were observed. Some of the taxa identified include known antagonists toE. amylovora. Overall, our results suggest that flower physiology and the interaction with the environment are strongly associated with the pear flower microbiome and should be considered separately. Strain succession patterns for the different taxa underE. amylovoraspread may help in choosing candidates for antagonist-based treatments for fire blight.ImportanceThe spread of pathogens in plants is an important ecological phenomenon and has a significant economic impact on agriculture. Flowers serve as the entry point forE. amylovora,but members of the flower microbiome can inhibit or slow down the proliferation and penetration of the pathogen. Knowledge about leaf and flower microbiome response to the naturally occurring spread ofE. amylovorais still lacking. The current study is the first to describe the flower microbiome dynamics during the naturally occurring infectionof E. amylovora. Unlike previous studies, our experiment design enabled us to evaluate the contribution of five important environmental parameters to the community composition. We identified different strain succession patterns across different taxa in the flower consortia throughout the season. These results contribute to our understanding of plant microbial ecology during pathogen spread and can help to improve biological treatments for these diseases.
Sustained EEG responses to rapidly unfolding stochastic sounds reflect precision tracking
Authors: Zhao Sijia , Skerritt-Davis Benjamin , Elhilali Mounya , Dick Frederic , Chait Maria 
Published: January 2024

AbstractThe brain is increasingly viewed as a statistical learning machine, where our sensations and decisions arise from the intricate interplay between bottom-up sensory signals and constantly changing expectations regarding the surrounding world. Which statistics does the brain track while monitoring the rapid progression of sensory information?Here, by combining EEG (three experiments N≥22 each) and computational modelling, we examined how the brain processes rapid and stochastic sound sequences that simulate key aspects of dynamic sensory environments. Passively listening participants were exposed to structured tone-pip arrangements that contained transitions between a range of stochastic patterns. Predictions were guided by a Bayesian predictive inference model. We demonstrate that listeners automatically track the statistics of unfolding sounds, even when these are irrelevant to behaviour. Transitions between sequence patterns drove an increase of the sustained EEG response. This was observed to a range of distributional statistics, and even in situations where behavioural detection of these transitions was at floor. These observations suggest that the modulation of the EEG sustained response reflects a universal process of belief updating within the brain. By establishing a connection between the outputs of the computational model and the observed brain responses, we demonstrate that the dynamics of these transition-related responses align with the tracking of ‘precision’ – the confidence or reliability assigned to a predicted sensory signal - shedding light on the intricate interplay between the brain’s statistical tracking mechanisms and its response dynamics.
Inflammatory Cytokines Can Induce Synthesis Of Type-I Interferon
Authors: Sharma Nikhil , Qi Xu , Kessler Patricia , Sen Ganes C. 
Published: January 2024

ABSTRACTType I interferon (IFN) is induced in virus infected cells, secreted and it inhibits viral replication in neighboring cells. IFN is also an important player in many non-viral diseases and in the development of normal immune cells. Although the signaling pathways for IFN induction by viral RNA or DNA have been extensively studied, its mode of induction in uninfected cells remains obscure. Here, we report that inflammatory cytokines, such as TNF-α and IL-1β, can induce IFN-β through activation of the cytoplasmic RIG-I signaling pathway. However, RIG-I is activated not by RNA, but by PACT, the protein activator of PKR. In cell lines or primary cells expressing RIG-I and PACT, activation of the MAPK, p38, by cytokine signaling, leads to phosphorylation of PACT, which binds to primed RIG-I and activates its signaling pathway. Thus, a new mode of type I IFN induction by ubiquitous inflammatory cytokines has been revealed.Key pointsCytochalasin D followed by TNF-α / IL-1β treatment activates IFN-β expression.IFN-β expression happens due to activation of RIG-I signaling.Interaction between RIG-I and PACT activates IFN-β expression.
Effect of zinc oxide on the electrochemical properties of micro-arc oxidation coatings in seawater
Authors: Sun Qiang , Jiang Quantong , Wu Siwei , Liu Chang , Tang Heng , Song L. , Shi Hao , Duan Jizhou , Hou BaoRong 
Published: January 2024

Purpose
The purpose of this paper is to explore the effect of ZnO on the structure and properties of micro-arc oxidation (MAO) coating on rare earth magnesium alloy under large concentration gradient.

Design/methodology/approach
The macroscopic and microscopic morphology, thickness, surface roughness, chemical composition and structure of the coating were characterized by different characterization methods. The corrosion resistance of the film was studied by electrochemical and scanning Kelvin probe force microscopy. The results show that the addition of ZnO can significantly improve the compactness and corrosion resistance of the MAO coating, but the high concentration of ZnO will cause microcracks, which will reduce the corrosion resistance to a certain extent.

Findings
When the concentration of zinc oxide is 8 g/L, the compactness and corrosion resistance of the coating are the best, and the thickness of the coating is positively correlated with the concentration of ZnO.

Research limitations/implications
Too high concentration of ZnO reduces the performance of MAO coating.

Practical implications
The MAO coating prepared by adding ZnO has good corrosion resistance. Combined with organic coatings, it can be applied in corrosive marine environments, such as ship parts and hulls. To a certain extent, it can reduce the economic loss caused by corrosion.

Originality/value
The effect of ZnO on the corrosion resistance of MAO coating in electrolyte solution was studied systematically, and the conclusion was new to the common knowledge.
Hot spots of climate action research: altmetric attention and bibliometric analysis
Authors: Andrabi Syed Aasif Ahmad , Loan Fayaz Ahmad 
Published: January 2024

Purpose
The purpose of this study is to apply altmetrics and bibliometric indicators on the top 100 most mentioned articles published related to the sustainable development goal (SDG)-13, Climate Action.

Design/methodology/approach
The authors used the Altmetric Explorer’s SDGs filter to extract the most mentioned articles belonging to Climate Action and their other characteristics, such as DOI, titles, tools mentioning them and their demographic descriptions. The same set of papers was searched in the Dimensions database to extract them in the format importable in R-studio to check the distribution of papers across various journals and identify their subject category, countries and institutions publishing these papers. Further, SPSS was used to check the correlation between altmetric attention score (AAS) and citations.

Findings
The results of the paper showed the mean of AAS and the citations received by the articles was 3,556.35 and 304.04, respectively. Twitter has been the most used social media platform for mentioning the research related to climate action, covering 88.1% of the total mentions. The Twitter and the News mention demographics show the USA contributing the most tweet mentions (15.2%) as well as news mentions (57.65%) to the papers. Also, the USA has solely published 49 papers from the total papers selected for the study. The papers were published in 31 journals most of them belonging to the quartile first (Q1) category and primarily belonged to the subject category “Earth Sciences.” Pearson’s correlational method showed a significant but low positive correlation between AAS and citation counts (r = 0.365, p = <0.001) and a strong positive correlation between the citations and Mendeley readership counts (r = 0.907).

Originality/value
The research is original in nature and discovered very interesting results about climate action using altmetric and bibliometric techniques.
Revisiting internal consistency in hospitality research: toward a more comprehensive assessment of scale quality
Authors: Njeri Millicent , Khader Malak , Ali Faizan , Line Nathan Discepoli 
Published: January 2024

Purpose
The purpose of this study is to revisit the measures of internal consistency for multi-item scales in hospitality research and compare the performance of Cronbach’s α, omega total (ωTotal), omega hierarchical (ωH), Revelle’s omega total (ωRT), Minimum Rank Factor Analysis (GLBfa) and GLB algebraic (GLBa).

Design/methodology/approach
A Monte Carlo simulation was conducted to compare the performance of the six reliability estimators under different conditions common in hospitality research. Second, this study analyzed a data set to complement the simulation study.

Findings
Overall, ωTotal was the best-performing estimator across all conditions, whereas ωH performed the poorest. α performed well when factor loadings were high with low variability (high/low) and large sample sizes. Similarly, ωRT, GLBfa and GLBa performed consistently well when loadings were high and less variable as well as the sample size and the number of scale items increased. Of the two GLB estimators, GLBa consistently outperformed GLBfa.

Practical implications
This study provides hospitality managers with a better understanding of what reliability is and the various reliability estimators. Using reliable instruments ensures that organizations draw accurate conclusions that help them move closer to realizing their visions.

Originality/value
Though popular in other fields, reliability discussions have not yet received substantial attention in hospitality. This study raises these discussions in the context of hospitality research to promote better practices for assessing the reliability of scales used within the hospitality domain.
Soft HRM bundles: a potential toolkit for future crisis management
Authors: Dubey Naman , Bomzon Semsang Dolma , Murti Ashutosh Bishnu , Roychoudhury Basav 
Published: January 2024

Purpose
The purpose of this paper spans twofold. Firstly, to investigate Human Resource Management practices (HRMP) adopted by organisations during the pandemic. Secondly, to bundle similar HRMP into Human Resource Management (HRM) bundles that provided unhindered organisational support to employees during the crisis.

Design/methodology/approach
The authors conducted 39 in-depth interviews across industries using a semi-structured interview schedule. Thereafter, the authors transcribed the interviews verbatim and analysed them thematically using MAXQDA 2021.

Findings
The study identifies effective practices during times of uncertainty and how soft HRM practices helped organisations survive during a crisis. When bundled together, these practices enabled organisations to continue operations during the pandemic, keeping their employees engaged and motivated.

Practical implications
Based on the learnings from the COVID-19 pandemic, the study provides a toolkit of HRMP bundles that organisations can adopt for future crisis management, enhancing the organisations’ absorptive capacity.

Originality/value
The study investigates the practices incorporated during COVID-19, leading to the identification of soft HRM bundles. The study adds value to the existing domain of HRM by including a unique set of soft HRMP bundles that have not been discussed in earlier studies and could be of high utility to organisations during the crisis.
Understanding the acceptance of business intelligence from healthcare professionals’ perspective: an empirical study of healthcare organizations
Authors: Alkhwaldi Abeer F. 
Published: January 2024

Purpose
Due to its ability to support well-informed decision-making, business intelligence (BI) has grown in popularity among executives across a range of industries. However, given the volume of data collected in health-care organizations, there is a lack of exploration concerning its implementation. Consequently, this research paper aims to investigate the key factors affecting the acceptance and use of BI in healthcare organizations.

Design/methodology/approach
Leveraging the theoretical lens of the “unified theory of acceptance and use of technology” (UTAUT), a study framework was proposed and integrated with three context-related factors, including “rational decision-making culture” (RDC), “perceived threat to professional autonomy” (PTA) and “medical–legal risk” (MLR). The variables in the study framework were categorized as follows: information systems (IS) perspective; organizational perspective; and user perspective. In Jordan, 434 healthcare professionals participated in a cross-sectional online survey that was used to collect data.

Findings
The findings of the “structural equation modeling” revealed that professionals’ behavioral intentions toward using BI systems were significantly affected by performance expectancy, social influence, facilitating conditions, MLR, RDC and PTA. Also, an insignificant effect of PTA on PE was found based on the results of statistical analysis. These variables explained 68% of the variance (R2) in the individuals’ intentions to use BI-based health-care systems.

Practical implications
To promote the acceptance and use of BI technology in health-care settings, developers, designers, service providers and decision-makers will find this study to have a number of practical implications. Additionally, it will support the development of effective strategies and BI-based health-care systems based on these study results, attracting the interest of many users.

Originality/value
To the best of the author’s knowledge, this is one of the first studies that integrates the UTAUT model with three contextual factors (RDC, PTA and MLR) in addition to examining the suggested framework in a developing nation (Jordan). This study is one of the few in which the users’ acceptance behavior of BI systems was investigated in a health-care setting. More specifically, to the best of the author’s knowledge, this is the first study that reveals the critical antecedents of individuals’ intention to accept BI for health-care purposes in the Jordanian context.