bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of intestinal mediators ofCaenorhabditis elegansDBL-1/BMP immune signaling shaping gut microbiome composition
Authors: Trang Kenneth , Pees Barbara , Karimzadegan Siavash , Bodkhe Rahul , Hammond Sabrina , Shapira Michael 
Published: October 2023

ABSTRACTThe composition of the gut microbiome is determined by a complex interplay of diet, host genetics, microbe-microbe competition, abiotic factors, and stochasticity. Previous studies have demonstrated the importance of host genetics in community assembly of theCaenorhabditis elegansgut microbiome and identified a pivotal role for DBL-1/BMP immune signaling in determining the abundance of gutEnterobacteriaceae, in particular of the genusEnterobacter. However, the effects of DBL-1 signaling on gut bacteria were found to depend on its activation in extra-intestinal tissues, suggesting that yet unidentified intestinal factors must mediate these effects. In the present study, we used RNA-seq gene expression analysis of wildtype,dbl-1andsma-3mutants, anddbl-1over-expressors to identify genes regulated by DBL-1/BMP signaling that take part in interactions with gut commensals. Following confirmation of several putative targets by qRT-PCR, we carried out colonization experiments with respective mutants raised on monocultures as well as on defined bacterial communities. These experiments identified five intestinal DBL-1/BMP targets, predicted to be secreted, that showed increasedEnterobacteriaceaeabundance compared to wildtype. The extent of increases was for the most part lower than those seen in DBL-1 pathway mutants, suggesting that identified mediators are components of a DBL-1-regulated antibacterial cocktail, which may additively contribute to shaping of gut microbiome composition.IMPORTANCECompared to the roles of diet, environmental availability, or lifestyle in determining gut microbiome composition, that of genetic factors is the least understood and often underestimated. The identification of intestinal mediators acting downstream of DBL-1/BMP signaling to control enteric bacteria, describes a cocktail of effectors with distinct molecular functions, thus offering a glimpse into the genetic logic of microbiome control as well as a list of targets for future exploration of this logic.
Higher education student engagement with online learning: the role of perceived value and academic entitlement
Authors: Al Issa Hussein-Elhakim , Omar Mohammed Mispah Said , Çelebi Ayşem 
Published: October 2023

PurposeThe purpose of the study is to investigate the impact of perceived value and academic entitlement on the online engagement of university students. The mediating effect of technostress inhibitor and teacher behavior between perceived value, entitlement and student engagement was also examined.Design/methodology/approachThe study used a quantitative research methodology, with data collected through a survey of 304 undergraduate students from a public university in Bahrain.FindingsThe findings showed that perceived value and academic entitlement were significant predictors of online student engagement. At the same time, only technostress inhibitor was found to mediate those associations. An unexpected result was entitlement's positive and significant impact on student engagement.Practical implicationsUniversity decision-makers are strongly advised to enhance perceived value and support mechanisms for engagement, address technology-related concerns and improve teacher capacity and students' online learning experience.Originality/valueThe study makes a distinct contribution by investigating how perceived value, academic entitlement, technostress inhibitors and teacher behavior influence student engagement in the online higher education context.
How R&D expenditure affects renewable energy development: the role of trade liberalization and CO2 emissions in G-7 countries
Authors: Karimi Alavijeh Nooshin , Zangoei Samane 
Published: October 2023

Purpose
Expansion of the consumption of renewable energy is a significant issue for reducing global warming, to cope with climate change and achieve sustainable development. This study aims to examine how research and development expenditure (R&D) affects renewable energy development in developed G-7 countries over the period from 2000 to 2019. Variables of trade liberalization and CO2 emissions are considered control variables.

Design/methodology/approach
This study has adopted a panel quantile regression. The impact of the variables on renewable development has been examined in quantiles of 0.1, 0.25, 0.5, 0.75 and 0.9. Also, a robust examination is accomplished by applying generalized quantile regression (GQR).

Findings
The empirical findings reveal a positive and significant relationship between R&D and the consumption of renewable energy in 0.1, 0.25, 0.5 and 0.75 quantiles. Also, the findings describe that the expansion of trade liberalization and CO2 emissions can significantly increase the development of renewable energy in G-7 countries. Furthermore, GQR verifies the main outcomes.

Practical implications
These results have very momentous policy consequences for the governments of G-7 countries. Therefore, investment and support for the R&D section to promote the development of renewable energy are recommended.

Originality/value
This paper, in comparison to other research, used panel quantile regression to investigate the impact of factors affecting renewable energy consumption. Also, to the best of the authors’ knowledge, no study has perused the effect of R&D along with trade liberalization and carbon emissions on renewable energy consumption in G-7 countries. Also, in this paper, as a robustness check for panel quantile regression, the GQR has been used.
Innovation performance and its determinants: what does it take to succeed?
Authors: Costa Cavalcante Pedro Luiz 
Published: October 2023

PurposeThis paper aims to depart from the national innovation system (NIS) arguments that countries' institutional arrangements and performance result from various complementary factors that generate innovative activities and products within economies.Design/methodology/approachTo further explore these dimensions, the main objective of this paper is to address the determinants of global heterogeneity in the innovation outcomes of the nations. Thus, the research employs descriptive data analysis and multivariate regression models, using data from the Global Innovation Index (GII) to analyze innovation systems cross-regionally concerning institutional arrangements and performance. Since 2013, the GII, has annually measured and ranked the innovation inputs and outputs of more than a hundred countries based on a comprehensive and sophisticated approach and a multidimensional perspective.FindingsThe author found the empirical results remarkably interesting in many respects. The different indexes of innovation inputs affect the country's performance level, but not all show a statistically significant impact on innovation outputs. Institutions and infrastructure indexes do not affect the innovative performance of the economies. The main determinants of innovation performance worldwide are business sophistication, human capital & research (HC&R) and market sophistication. In short, the research presents an original contribution, mainly because it explores different views on NIS disparities worldwide, using complementary methodological strategies and based on comprehensive data on innovative inputs and outputs in the countries.Originality/valueThe findings add new evidence-based knowledge on the determinants of innovation performance in different realities, such as political, economic and administrative. These realities formulate innovation policies and implement them worldwide.
Toward an epistemology for anarchist accounting and stakeholder relationship capability: evidence from Iran
Authors: Valiyan Hasan , Abdoli Mohammadreza 
Published: October 2023

Purpose
The purpose of this study is to investigate the effect of anarchist accounting (AA) on stakeholder relationship capability (SRC) in the context of Iranian capital market companies.

Design/methodology/approach
This study is based on a descriptive survey-correlation data collection method. As this study is on (AA) and (SRC) in Iran, the population of the study is made up of all financial managers and heads of the accounting department of capital market companies in Iran. Among 185 companies (Tehran Stock Exchange [TSE]), 100 companies were selected as samples which are all in the TSE. As suggested by Niles (2006), a minimum sample size of 10% of the population is generally acceptable. A questionnaire survey was adopted in obtaining primary data for this study. Thus, based on Cochran sampling techniques, 395 questionnaires were returned and became the basis of analysis. Also, partial least square was used to test the research hypothesis.

Findings
The statistical findings indicate the fit of the structural desirability of the factor load and according to the standardized coefficient (path coefficient), the dimensions of AA have a negative and significant effect on SRC, because the path coefficient is positive.

Originality/value
Theoretically, to the best of the authors’ knowledge, this study is the first research that tries to examine the stakeholder relationship capability through the link between social/political approaches with accounting procedures, an issue that has not been considered in any prior study. Also, conducting the present study in the conditions of social distrust in the Iranian capital market can be important, because the expansion of anarchist accounting helps to create a level of symmetry and equality in information disclosure and it can create value for shareholders.
The impact of entrepreneurs' perceptions and social media usage on their intention to formalise their MSMEs in Egypt
Authors: Miniesy Rania , Fakhreldin Hadia 
Published: October 2023

PurposeThe formalisation – switch from the informal to the formal sector – of micro, small and medium enterprises (MSMEs) has serious ramifications on the Egyptian economy. This study investigates the effect of the factors perceived by Egyptian informal entrepreneurs to encourage/deter formalisation on those entrepreneurs' intentions of formalising their MSMEs. Social media (SM) usage is a novel factor whose impact on the intention of formalisation is also examined.Design/methodology/approachThe conceptual framework of the theory of planned behaviour (TPB) is used, and a logistic regression model is utilised. Relevant data were collected from self-assessment questionnaires of a sample of Egyptian informal female and young male entrepreneurs, who constitute the majority of informal entrepreneurs in Egypt.FindingsResults reveal that for female entrepreneurs, only the support of the government and other institutions positively affects their intention of formalisation, whilst direct costs and lack of family support affect their intention negatively. For young male entrepreneurs, the number of employees and prospects of contract enforcement positively affect their intention of formalisation, whilst being involved in a trading activity affects it negatively. For both groups, higher levels of education and SM usage adversely affect their intention of formalisation. These varying results have a crucial policy implication: the one-size-fits-all public policies intended to stimulate formalisation might not work, and thus, more tailored policies are required.Originality/valueWorldwide, research on the impact of SM on the formalisation of MSMEs is scant, if existent. In Egypt, research on MSMEs is limited, those focusing on the impact of SM on Egyptian MSMEs are even scarcer and those targeting SM's effect on their formalisation are absent.
Hotel housekeepers in family hotel business: a perspective article
Authors: Otegui Carles Almudena 
Published: October 2023

PurposeThe purpose of this research is to delve into the scientific literature on hotel housekeepers in family hotel businesses to suggest new research directions in this field.Design/methodology/approachThis paper is based on a concise literature review to discuss the past and future of research on family hotel business.FindingsResearch on family hotel businesses and the relationships and working conditions of their employees is limited. Most studies are focused on family businesses in general, without specific emphasis on a particular sector, or a specific job within each sector, or the type of company within a sector.Originality/valueThis paper synthesizes existing research on family businesses, particularly family hotel businesses, to delve into work conditions in both fields. It seeks to establish connections with the job conditions of hotel housekeepers as a means of addressing some of the challenges they face in their working environment.
Maximum power tracking strategy of a wind energy conversion system based on resonant with active disturbance rejection control
Authors: Xiong Lei , Shi Hongjun , Zhu Qixin 
Published: October 2023

Purpose
This study aims to construct a novel maximum power tracking control system for the direct drive permanent magnet synchronous generator (PMSG) of the wind energy conversion system (WECS) to solve the following problems: how to effectively eliminate the system’s model parameter disturbances and speed up the dynamic performance of the system; and how to eliminate harmonics in WECS under different wind speeds.

Design/methodology/approach
To obtain the maximum output power of PMSG at WECS under different wind speeds, the following issues should be considered: (1) how to effectively eliminate the system’s model parameter disturbances and speed up the dynamic performance of the system; and (2) how to suppress system harmonics. For Problem 1, adding d–q compensation factors to active disturbance rejection control (ADRC) for the current loop realizes the d–q axis decoupling control, which speeds up the dynamic performance of the system. For Problem 2, the resonant controller is introduced into the ADRC for the current loop to suppress harmonic current in WECS under different wind speeds.

Findings
The simulation results demonstrate that the proposed control method is simpler and more reliable than conventional controllers for maximum power tracking.

Originality/value
Compared with traditional controllers, the proposed controller can speed up the dynamic performance of the system and suppress the current harmonic effectively, thus better achieving maximum power tracking.
Reconsidering expertise for public policymaking: The challenges of contestability
Authors: Head Brian W. 
Published: October 2023

AbstractIt is commonly claimed there is a crisis of expertise in liberal democracies and that experts who provide evidence‐based policy ideas have become widely distrusted. This paper reconsiders the nature of this perceived crisis in policy advisory systems. The literature has identified four reasons for this trend—politicisation, diversification, diminished policy capacity, and populism. Building on these claims, this paper suggests that the contestability of policy advice has been the key underlying shift in policy advisory processes. Contestability can be positively useful for testing the robustness of policy proposals. However, if the policy debate has no evidentiary standards, the contest becomes a clash of opinions and slogans. Hence, several approaches have been proposed to strengthen the role of professional expertise and improve the quality and legitimacy of evidence‐informed policymaking. One approach is the rebuilding of bureaucratic capacity to provide evidence‐informed policy advice. However, a technocratic–elitist style that invokes scientific authority would be difficult to sustain politically in relation to complex issues affecting citizen well‐being. A second approach is to improve stakeholder engagement and to enhance respect for the expertise embodied in ‘lived experience’. Thus, rebuilding trust and legitimacy may require broadening the range of relevant expertise through multi‐stakeholder approaches.Points for practitioners
Types of expert policy advice have evolved and diversified, with many sources and channels both inside and outside government
Contestability of policy advice has become more widespread
Public service policy capacity has arguably been weakened through outsourcing, use of consultants, interest group lobbying, and the growing influence of ministerial advisors
Evidence‐informed advisory systems have been challenged by fast decision‐making, wicked problems, media misinformation, and populist slogans
Rebuilding capacity and trust in high‐quality policy systems requires new thinking, including more inclusive processes and a wider view of relevant expertise.
More Social, More Socially Responsible? The Impact of CEO Social Media Use on Corporate Social Performance
Authors: Zhou Jing , Ye Silin , Liu Xiaming 
Published: October 2023

AbstractNowadays, more and more firm chief executive officers (CEOs) are using social media to join online conversations and interact with stakeholders. As this social media presence shows their social participation tendencies, such CEOs have been described as ‘social CEOs’. Building on an upper‐echelon perspective of corporate social responsibility (CSR), this study examines whether social CEOs and the implications of their social media engagement have an impact on corporate social performance by developing a needs–affordances–consequences approach. Our approach explores the motives and ability of social CEOs, suggesting the positive influence of CEO sociability on CSR and also the moderating effect of CEOs’ social evaluation. Using data on Chinese publicly listed firms from 2009 to 2020, we find that firms with social CEOs have a higher level of social performance than firms without, and higher CEO status or better CEO reputation can further amplify the positive impact of CEO sociability on corporate social performance. This work makes important contributions to research on the determinants of CSR, as well as the social media and leadership literature.
CRISPR‐based diagnostics detects invasive insect pests
Authors: Shashank Pathour R. , Parker Brandon M. , Rananaware Santosh R. , Plotkin David , Couch Christian , Yang Lilia G. , Nguyen Long T. , Prasannakumar N. R. , Braswell W. Evan , Jain Piyush K. , Kawahara Akito Y. 
Published: October 2023

AbstractRapid identification of organisms is essential for many biological and medical disciplines, from understanding basic ecosystem processes, disease diagnosis, to the detection of invasive pests. CRISPR‐based diagnostics offers a novel and rapid alternative to other identification methods and can revolutionize our ability to detect organisms with high accuracy. Here we describe a CRISPR‐based diagnostic developed with the universal cytochrome‐oxidase 1 gene (CO1). The CO1 gene is the most sequenced gene among Animalia, and therefore our approach can be adopted to detect nearly any animal. We tested the approach on three difficult‐to‐identify moth species (Keiferia lycopersicella, Phthorimaea absoluta and Scrobipalpa atriplicella) that are major invasive pests globally. We designed an assay that combines recombinase polymerase amplification (RPA) with CRISPR for signal generation. Our approach has a much higher sensitivity than real‐time PCR assays and achieved 100% accuracy for identification of all three species, with a detection limit of up to 120 fM for P. absoluta and 400 fM for the other two species. Our approach does not require a sophisticated laboratory, reduces the risk of cross‐contamination, and can be completed in less than 1 h. This work serves as a proof of concept that has the potential to revolutionize animal detection and monitoring.
Controlling for the effects of environmental availability when testing how the environment determines community compositional uniqueness
Authors: Tsang Toby P. N. , Bonebrake Timothy C. , Ponisio Lauren C. , Cadotte Marc W. 
Published: October 2023

Abstract

Identifying the drivers that promote unique species compositions (i.e. ecological uniqueness) is crucial to understanding the mechanisms underpinning diversity patterns and for effective conservation planning. Environmental conditions are often sampled differentially in datasets, which can lead to rarer environments having unique species compositions, provided that environmental differences increase compositional differences. This effect, however, will be undesirable when a study aims to test the direct impact of environments rather than their availability.

We developed an approach to reduce the effects of environmental availability in ecological uniqueness analyses through calculating expected pairwise compositional dissimilarities for each unique environmental condition. We further used simulations to assess the performance of our methods by randomly generating communities from two hypothetical environments with non‐overlapping species pools. Additionally, we used a dataset of 50 tree communities to demonstrate how environmental availability could impact relationships between environmental conditions and ecological uniqueness in empirical studies.

Our simulations revealed that uniqueness metrics based on observed values are sensitive to environmental availability, while our approach correctly concluded that there were no differences among environments under the unbalanced design. Our analysis of tree communities produced divergent conclusions between the two approaches, as increasing slope reduced ecological uniqueness after controlling for their low availability in the dataset only. This suggests that low environmental availability inflated the ecological uniqueness of sites with high slope, which opposed its direct negative effects on ecological uniqueness, leading to a weak relationship based on observed values.

To achieve a more mechanistic understanding of ecological uniqueness patterns, the effects of environmental availability must be considered. We recommend that studies use both uncorrected and corrected analyses to identify not only the direct effects of environmental conditions but also the degree to which their availability influences the observed relationships between ecological uniqueness and environment conditions. Our approach should be most necessary and applicable in unbalanced designs, which is a common characteristic in empirical studies.
Real‐time artificial intelligence predicts adverse outcomes in acute pancreatitis in the emergency department: Comparison with clinical decision rule
Authors: Chang Ching‐Hung , Chen Chia‐Jung , Ma Yu‐Shan , Shen Yu‐Ting , Sung Mei‐I , Hsu Chien‐Chin , Lin Hung‐Jung , Chen Zhih‐Cherng , Huang Chien‐Cheng , Liu Chung‐Feng 
Published: October 2023

AbstractObjectiveArtificial intelligence (AI) prediction is increasingly used for decision making in health care, but its application for adverse outcomes in emergency department (ED) patients with acute pancreatitis (AP) is not well understood. This study aimed to clarify this aspect.MethodsData from 8274 ED patients with AP in three hospitals from 2009 to 2018 were analyzed. Demographic data, comorbidities, laboratory results, and adverse outcomes were included. Six algorithms were evaluated, and the one with the highest area under the curve (AUC) was implemented into the hospital information system (HIS) for real‐time prediction. Predictive accuracy was compared between the AI model and Bedside Index for Severity in Acute Pancreatitis (BISAP).ResultsThe mean ± SD age was 56.1 ± 16.7 years, with 67.7% being male. The AI model was successfully implemented in the HIS, with Light Gradient Boosting Machine (LightGBM) showing the highest AUC for sepsis (AUC 0.961) and intensive care unit (ICU) admission (AUC 0.973), and eXtreme Gradient Boosting (XGBoost) showing the highest AUC for mortality (AUC 0.975). Compared to BISAP, the AI model had superior AUC for sepsis (BISAP 0.785), ICU admission (BISAP 0.778), and mortality (BISAP 0.817).ConclusionsThe first real‐time AI prediction model implemented in the HIS for predicting adverse outcomes in ED patients with AP shows favorable initial results. However, further external validation is needed to ensure its reliability and accuracy.