bluuebunny/crossref_metadata_2025_split huggingface dataset:
S1PR1 Regulates Lymphatic Valve Development And Prevents Ileitis-Independent Tertiary Lymphoid Organ Formation
Authors: Geng Xin , Chen Lijuan , Ahmed Zoheb , Formigari Guilherme Pedron , Ho Yenchun , Del Gaudio Ilaria , Datilo Marcella Neves , Azartash-Namin Zheila J , Shan Xindi , Keshari Ravi Shankar , Chen Hong , Lupu Florea , Xia Lijun , Randolph Gwendalyn J. , Zawieja Scott D , Camerer Eric , Davis Michael J , Srinivasan R. Sathish 
Published: October 2024

ABSTRACTLymphatic vessels function throughout the body to drain interstitial fluids. Efficient lymph flow is ensured by lymphatic valves (LVs). However, the mechanisms that regulate LV development are incompletely understood. Here, we show that the deletion of the GPCR sphingosine 1-phosphate receptor-1 (S1PR1) from lymphatic endothelial cells (LECs) results in fewer LVs. Interestingly, LVs that remained in the terminal-ileum draining lymphatic vessels were specifically dysfunctional, and tertiary lymphoid organs (TLOs) formed in this location. TLOs in the terminal ileum are associated with ileitis in humans and mice. However, mice lacking S1PR1 did not develop obvious characteristics of ileitis. Sphingosine kinases 1 and 2 (SPHK1/2) are required for the synthesis of S1P, the ligand of S1PR1. Mice that lackSphk1/2in LECs recapitulate the LV and TLO phenotypes of mice that lack S1PR1. Mechanistically, S1PR1 regulates shear stress signaling and the expression of the valve-regulatory molecules FOXC2 and connexin-37. Importantly,Foxc2+/-mice, a model for lymphedema-distichiasis syndrome, also develop TLOs in the terminal ileum. Thus, we have discovered S1PR1 as a previously unknown regulator of LV and TLO development. We also suggest that TLOs are a sign of subclinical inflammation that can form due to lymphatic disorders in the absence of ileitis.
Physiological response ofMicrocystis aeruginosaexposed to aqueous extracts ofPistia stratiotesandPontederia crassipes
Authors: de Oliveira Silva Luan , Santos Allan Amorim , Peñaloza Evelyn Maribel Condori , Pacheco Ana Beatriz Furlanetto , de Oliveira e Azevedo Sandra Maria Feliciano 
Published: October 2024

AbstractMacrophyte extracts inhibit cyanobacteria growth, offering a sustainable solution for bloom control. The present study aimed to evaluateMicrocystisaeruginosa’s response to aqueous extracts obtained from the dried biomass ofPistia stratiotesL. andPontederia crassipesMart. Solms. Physiological parameters analyzed included growth, photosynthesis, and antioxidative response. Reactive oxygen species generation and the chemical profile of the aqueous extracts were analyzed. At 4.0 g L-1, both extracts inhibited cyanobacterial growth in 6 days.P. stratiotesextract achieved 100% inhibition, whileP. crassipesextract reached 60%.P. stratiotesextract showed higher photosynthetic inhibition (99% vs. 12% forP. crassipes). This was related to the downregulation of thepsbAgene (coding for the photosystem II protein D1). Exposure to both extracts increased intracellular reactive oxygen species content in cyanobacterial cells and increased peroxiredoxin gene (prxA)transcripts. This response was not noted forsod(superoxide dismutase) transcripts, although SOD enzymatic activity increased in cultures exposed toP. stratiotesextracts. Upon incubation of the macrophyte extracts withM. aeruginosacultures, phenol concentrations decreased, and their general metabolic profile changed. Thus,P. stratiotesextract outperformedP. crassipes, inhibitingM. aeruginosagrowth, affecting photosystem II, and inducing oxidative stress.HighlightsAqueous extracts from dried biomass ofP. stratiotesandP. crassipesinhibitedM. aeruginosagrowth.P. stratiotesextract suppressed photosystem II activity, whileP. crassipesdid notBoth extracts elicited ROS production in cells.Peroxiredoxin gene expression upregulated by extract exposure.P. stratiotesextract increased SOD activity in cells.
Faecalibacterium prausnitziiregulates carbohydrate metabolic functions of the gut microbiome in C57BL/6 mice
Authors: Geng Peiling , Zhao Ni , Zhou Yufan , Harris Reuben S. , Ge Yong 
Published: October 2024

AbstractThe probiotic impact of microbes on host metabolism and health depends on both host genetics and bacterial genomic variation.Faecalibacterium prausnitziiis the predominant human gut commensal emerging as a next-generation probiotic. Although this bacterium exhibits substantial intraspecies diversity, it is unclear whether genetically distinctF. prausnitziistrains might lead to functional differences in the gut microbiome. Here, we isolated and characterized a novelF. prausnitziistrain (UT1) that belongs to the most prevalent but underappreciated phylogenetic clade in the global human population. Genome analysis showed that this butyrate-producing isolate carries multiple putative mobile genetic elements, a clade-specific defense system, and a range of carbohydrate catabolic enzymes. Multiomic approaches were used to profile the impact of UT1 on the gut microbiome and associated metabolic activity of C57BL/6 mice at homeostasis. Both 16S rRNA and metagenomic sequencing demonstrated that oral administration of UT1 resulted in profound microbial compositional changes including a significant enrichment ofLactobacillus,Bifidobacterium, andTuricibacter. Functional profiling of the fecal metagenomes revealed a markedly higher abundance of carbohydrate-active enzymes (CAZymes) in UT1-gavaged mice. Accordingly, UT1-conditioned gut microbiota possessed the elevated capability of utilizing starchin vitroand exhibited a lower availability of microbiota-accessible carbohydrates in the feces. Further analysis uncovered a functional network wherein UT1 reduced the abundance of mucin-degrading CAZymes and microbes, which correlated with a concomitant reduction of mucin glycans in the gut. Collectively, our results reveal a crucial role of UT1 in facilitating the carbohydrate metabolism of the gut microbiome and expand our understanding of the genetic and phenotypic diversity ofF. prausnitzii.
Electron-electron-ion triple-coincidence experiment of electron-initiated valence ionization of small water clusters
Authors: Ren Xueguang , Hossen Khokon , Jia Shaokui , Zhou Jiaqi , Xue Xiaorui , Pfeifer Thomas , Dorn Alexander 
Published: October 2024

The ionization and fragmentation of small water clusters induced by electron impact (80 eV) is investigated. Using a multiparticle coincidence spectrometer (reaction microscope), all three charged final state particles—two outgoing electrons and one fragment ion—are detected. Nonprotonated (H2O)2+ and protonated water clusters H3O+, [H2O]2H+, [H2O]4H+, and [H2O]5H+ are identified in the measured ion spectrum. The ionization channels for formation of these species are investigated by measuring the kinetic energy distributions and the electronic states of the ions. Only a single state can lead to (H2O)2+, which is identified as ionization of water dimer with a 1b1 hole at the hydrogen bonding donor molecule, while for the protonated water species three major electronic states corresponding to the ionization of 1b1, 3a1, and 1b2 type orbitals are observed.

Published by the American Physical Society
2024
Robust and automatic beamstop shadow outlier rejection: combining crystallographic statistics with modern clustering under a semi-supervised learning strategy
Authors: Gao Yunyun , Ginn Helen M. , Thorn Andrea 
Published: October 2024

During the automatic processing of crystallographic diffraction experiments, beamstop shadows are often unaccounted for or only partially masked. As a result of this, outlier reflection intensities are integrated, which is a known issue. Traditional statistical diagnostics have only limited effectiveness in identifying these outliers, here termed Not-Excluded-unMasked-Outliers (NEMOs). The diagnostic tool AUSPEX allows visual inspection of NEMOs, where they form a typical pattern: clusters at the low-resolution end of the AUSPEX plots of intensities or amplitudes versus resolution. To automate NEMO detection, a new algorithm was developed by combining data statistics with a density-based clustering method. This approach demonstrates a promising performance in detecting NEMOs in merged data sets without disrupting existing data-reduction pipelines. Re-refinement results indicate that excluding the identified NEMOs can effectively enhance the quality of subsequent structure-determination steps. This method offers a prospective automated means to assess the efficacy of a beamstop mask, as well as highlighting the potential of modern pattern-recognition techniques for automating outlier exclusion during data processing, facilitating future adaptation to evolving experimental strategies.
Innovation and competitiveness in the industry 4.0 era: the SYNCHRO framework for digital servitization
Authors: Minaya Pedro E. , Avella Lucía , Trespalacios Juan A. 
Published: October 2024

PurposeThis study aims to develop a theoretical and practical framework to guide manufacturing companies in their transition towards digital servitization (DS), identifying relevant elements in implementing a digital servitization (DS) strategy.Design/methodology/approachWe use a mixed-methods approach combining qualitative interviews and quantitative surveys. Data were collected from 98 manufacturing companies in Spain to understand their DS strategies and outcomes.FindingsThe SYNCHRO framework, encompassing seven components: Stakeholder environment, Yield through co-creation, New capabilities, Connectivity through Industry 4.0, Handling challenges, Restructuring internally and Organizational adaptation, is presented. The results indicate that companies can advance towards DS autonomously, without necessarily relying on co-creation with customers. However, the implementation of Industry 4.0 technologies and internal adaptation are critical for success.Research limitations/implicationsFuture research should expand the sample size and explore the implementation of the SYNCHRO framework in different industrial and geographical contexts to validate its effectiveness.Practical implicationsThe framework provides a structured approach for companies to integrate digital technologies and reconfigure their business models, ensuring improved competitiveness and adaptability in the Industry 4.0 landscape.Social implicationsBy promoting sustainable business practices and enhancing competitiveness, the SYNCHRO framework can contribute to economic growth and stability within manufacturing sectors.Originality/valueThe SYNCHRO framework offers a comprehensive guide for DS, highlighting the importance of internal innovation and organizational flexibility. This framework contributes to the existing literature and provides a tool for companies to enhance business competitiveness and sustainability.
Linking digital transformation with supply chain intelligence integration and carbon performance: does business model innovation matter?
Authors: Kong Ting , Feng Taiwen 
Published: October 2024

PurposeCompanies are actively pursuing digital transformation to achieve sustainable development; however, how digital transformation can help manufacturing firms improve carbon performance remains unclear. Based on an integrated perspective of dynamic capability theory and practice-based view, this study examines the relationship between digital transformation and carbon performance by exploring the mediating effect of supply chain intelligence integration and the moderating role of business model innovation.Design/methodology/approachUsing data collected from 297 manufacturing firms in China, this study employs hierarchical regression analysis to test the research hypotheses.FindingsThe findings demonstrated a significant positive association between digital transformation and carbon performance, and this relationship is mediated by all three dimensions of supply chain intelligence integration. Furthermore, business model innovation negatively moderates the relationships between digital transformation and both supplier intelligence integration and competitor intelligence integration.Originality/valueThe study provides empirical evidence that manufacturing firms can achieve greater benefits from digital transformation by aligning it with business model innovation and systematically promoting supply chain intelligence integration.
Five guidelines to improve context-aware process selection: an Australian banking perspective
Authors: Adams Nigel , Augusto Adriano , Davern Michael J. , La Rosa Marcello 
Published: October 2024

PurposeSelecting which processes to improve plays a critical role in the first phase of the business process management lifecycle, but it is a step with known pitfalls. Decision-makers rely on subjective criteria and their knowledge of the alternative processes put forward for selection is often inconsistent. This leads to poor quality decision-making and wastes resources. The purpose of this paper is to examine the proposition that decision-makers armed with context-enriched criteria make more logical, better-quality decisions. The context in question is qualitative, sensitive to decision-making bias and politically charged.Design/methodology/approachWe applied a design-science approach, engaging 70 industry decision-makers through a combination of research methods to assess how different contextual configurations, in a hypothetical scenario adapted from the Australian banking industry, influenced and ultimately improved the quality of the process selection step.FindingsThe study highlights the impact of framing effects on context, and the need to adapt framing to decision-maker behavior and provides five guidelines to improve process selection effectiveness.Originality/valueProcess selection research to date has largely focused on quantitative evaluation techniques, with little attention paid to the role of context and the behavioral interplay of decision-making styles in practice.
The impact of emotional perceived value on hotel guests’ satisfaction, affective commitment and loyalty
Authors: El-Adly Mohammed Ismail , Souiden Nizar , Khalid Arusa 
Published: October 2024

Purpose
This study aims to investigate the impact of emotional perceived value on hotel guests’ satisfaction, affective commitment and loyalty.

Design/methodology/approach
Data were collected from 348 respondents living in the United Arab Emirates, and hypotheses were tested using AMOS 28 and structural equation modeling.

Findings
This study’s unique contribution lies in its revelation that emotional perceived value directly impacts guests’ satisfaction, affective commitment and loyalty. Furthermore, it uncovers that emotional-perceived value indirectly influences loyalty through satisfaction and affective commitment.

Practical implications
This research underscores the importance of hotel managers prioritizing guests’ emotional perceived value in their offerings. Managers can significantly enhance guests’ satisfaction, affective commitment and loyalty by highlighting self-gratification, aesthetics, prestige, transaction and hedonics.

Originality/value
This study brings a fresh perspective to understanding customer perceived value (CPV). It argues that the mere emphasis on the functional aspect of CPV would likely fall short of fully comprehending specific outcomes of their experience (e.g. satisfaction-dissatisfaction, loyalty, etc.). Assessing the emotional aspect of CPV, known as emotional customer perceived value (ECPV), adds further explanations and sheds light on the understanding of the CPV concept and its impacts on consumers’ experience. Furthermore, this study emphasizes that emotional perceived value is better comprehended as a multidimensional rather than a unidimensional construct. It adds that the concept of customer value as a multidimensional concept is context-specific (i.e. dimensions vary from one service sector to another), providing a unique and valuable perspective for the luxury hotel industry.
Exploring the role of entrepreneurial self-efficacy into performance of graduate-owned small and medium-sized enterprises in Tanzania
Authors: Ndibalema Ivonne Charles , John Elia , Msuya Ombeni William 
Published: October 2024

PurposeThe study assessed the role of entrepreneurial self-efficacy (ESE) in the performance of graduate-owned small and medium-sized enterprises (SMEs). Specifically, the paper focused on how graduate owners’ confidence in identifying and commercializing new business opportunities and create new commodities according to the market demand influences both, the financial and non-financial performance of graduate-owned SMEs.Design/methodology/approachThe study employed a cross-sectional survey design, in which 228 SME graduate owners majored in entrepreneurship were involved through online structured questionnaires. The relationship between the variables was determined by using partial least squares structured equation modeling (PLS-SEM).FindingsThe results indicate that entrepreneurial self-efficacy of graduate SME owners influence the financial and non-financial performance of their SMEs. Specifically, financial performance values have a ß-value of 0.576 and a p-value of <0.0001, non-financial performance values have a ß-value of 0.275 and a p-value of <0.0001.Practical implicationsIn order to improve the performance of graduate-owned SMEs, universities should strive to equip graduates with self-confidence, which will enable them to utilize their entrepreneurial competences acquired through the entrepreneurship course programs. This will enable them to tackle business environmental challenges and be able to run successful businesses.Originality/valueThe results of this study extend the use of the self-efficacy theory in explaining the performance of graduate-owned SMEs in Tanzanian. Further, the study focused on ESE as a specific domain developed from entrepreneurship learning for entrepreneurial outcomes. Therefore, the study engaged graduate entrepreneurs who majored in entrepreneurship, which has not been the focus in most studies.
Engendering project management competencies in Saudi Arabian construction professionals
Authors: Moyo Tirivavi , Al-Otaibi Ali , Chigara Benviolent 
Published: October 2024

Purpose
Persisting construction performance shortcomings in the Saudi Arabian construction industry requires engendering project management competencies in construction professionals’ roles and responsibilities. The purpose of this study was to determine significant construction project management competencies for Saudi Arabian construction professionals.

Design/methodology/approach
A cross-sectional questionnaire survey used project managers’ competencies from the literature. Construction professionals participated in the survey. Normalisation was used to determine the critical individual competencies. Statistically significant differences due to designations and organisations were analysed. Factor analysis revealed the relationships among significant competencies.

Findings
The most critical individual competencies included communication, team building and leadership skills. However, Project managers and all other construction professionals had statistically significant differences in insights on some of the critical competencies. The results revealed seven components: behaviour and attitude-related competencies; fundamental project management-related competencies; pro-active, knowledge and creativity-related competencies; political and organisational-related competencies; stakeholder management and experience-related competencies; management-related competencies; and confidence, commitment and negotiation-related competencies.

Research limitations/implications
Evidently, inculcating project management competencies is essential for construction professionals to enhance project performance. The failure to get insights from the National Project Management Office officials was a limitation; however, views from construction professionals were sufficient as they are the most affected stakeholders.

Originality/value
The study determined project management competencies necessary for Saudi Arabian construction professionals to improve their project delivery performance.
Impact of dimensions of absorptive capacity on multinationals' reverse knowledge transfer: from an Indian context
Authors: Singh Nivisha , Salwan Prashant , Kumar Mangla Sachin , Vrontis Demetris 
Published: October 2024

Purpose
The purpose of this study is to provide a holistic view of how the different dimensions of absorptive capacity (AC) impact reverse knowledge transfer (RKT). Although the importance of AC has been realized in knowledge and RKT literature, scholars have hardly explored the differentiated importance of each component of AC. When knowledge leads to competitive advantage, understanding the differentiated contribution will help enhance the impact of AC on RKT. This becomes even more important for emerging economy multinationals (EMNCs), which struggle in the global market and suffer from various liabilities. Therefore, this study focuses on the multidimensional impact of AC on RKT from Indian multinational subsidiaries based in developed nations to their parent firm.

Design/methodology/approach
This study is a quantitative study. The authors tested the research model using a structural equation modeling design based on survey data collected from subsidiaries (in developed economies) of Indian multinationals.

Findings
The results show that acquisition, assimilation and transformation components of AC have positive impact on RKT. However, the authors found that the exploitation dimension has no impact on RKT.

Originality/value
To the best of the authors’ knowledge, the research design is original and this is the first study on the impact of all components of AC on RKT. AC is one of the most widely researched variables in knowledge literature, including different versions of Zahra and George’s concept of AC. However, its impact has not been explored much in RKT literature. This study addresses this gap and extends the literature on AC and RKT. The advantages of this study can be seen at the team and organization level.
Mindfulness-based stress reduction via mobile phone on female family caregivers' anxiety and sleep quality during COVID-19
Authors: Khoramirad Ashraf , Abedini Zahra , Gaeeni Mina , Dehghani Hakimeh , Akhoundzadeh Kobra 
Published: October 2024

Purpose
This study aims to determine the effect of Mindfulness-Based Stress Reduction (MBSR) via mobile phone on female family caregivers during COVID-19.

Design/methodology/approach
In the experimental study, 81 female family caregivers were randomly divided into the experimental group (n = 40) and control group (n = 41). The experimental group received MBSR via mobile phone. Pittsburgh Sleep Quality Inventory and Generalized Anxiety Disorder Questionnaire - Seventh Edition were evaluated at the beginning of the study, week 3 and week 8, respectively.

Findings
In both groups, anxiety decreased over time, although the decrease in the experimental group was significantly higher than in the control group (F = 22.912 p < 0.001). Sleep quality improved slightly in both groups over time; this improvement in the experimental group was significantly more than in the control group (F = 3.751 p = 0.035).

Originality/value
The MBSR via mobile phone helps to reduce anxiety and improve sleep quality in women caring for isolated patients at home.