bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fungivorous protists in the rhizosphere ofArabidopsis thaliana– Diversity, functions, and publicly available cultures for experimental exploration
Authors: Estermann Antonie H. , Pereira Bassiaridis Justin Teixeira , Loos Anne , Solbach Marcel Dominik , Bonkowski Michael , Hess Sebastian , Dumack Kenneth 
Published: July 2023

AbstractIn the context of the soil food web, the transfer of plant-fixed energy and carbon to higher trophic levels has traditionally been attributed to two main energy channels: the fungal energy channel and the bacterial energy channel. Historically, protists were overlooked in the fungal energy channel, which was believed to be controlled by fungivorous microarthropods and nematodes. In this study, we investigated fungivorous protists in the rhizosphere ofArabidopsis thaliana. Our findings revealed a notable abundance and diversity of protists that have developed specialized strategies to overcome the protective cell wall of fungi. Among the identified species were two Vampyrellida (Rhizaria) species, namelyTheratromyxa weberiandPlatyreta germanica, as well as one Arcellinida (Amoebozoa) species, calledCryptodifflugia oviformis. WhileT. weberitypically consumed entire fungal cells, the other two species perforated fungal cell walls and extracted the cellular contents. We elucidate the feeding strategies and dietary ranges of the amoebae, highlighting the non-uniform nature of fungivory in protists, as different taxa have evolved distinct approaches to access fungi as a food source. Moreover, we provide publicly available cultures of these protists to facilitate further experimental investigations within the research community.
The Medical Action Ontology: A Tool for Annotating and Analyzing Treatments and Clinical Management of Human Disease
Authors: Carmody Leigh C , Gargano Michael A , Toro Sabrina , Vasilevsky Nicole A , Adam Margaret P , Blau Hannah , Chan Lauren E , Gomez-Andres David , Horvath Rita , Kraus Megan L , Ladewig Markus S , Lewis-Smith David , Lochmüller Hanns , Matentzoglu Nicolas A , Munoz-Torres Monica C , Schuetz Catharina , Seitz Berthold , Similuk Morgan N , Sparks Teresa N , Strauss Timmy , Swietlik Emilia M , Thompson Rachel , Zhang Xingmin Aaron , Mungall Christopher J , Haendel Melissa A , Robinson Peter N 
Published: July 2023

AbstractNavigating the vast landscape of clinical literature to find optimal treatments and management strategies can be a challenging task, especially for rare diseases. To address this task, we introduce the Medical Action Ontology (MAxO), the first ontology specifically designed to organize medical procedures, therapies, and interventions in a structured way. Currently, MAxO contains 1757 medical action terms added through a combination of manual and semi-automated processes. MAxO was developed with logical structures that make it compatible with several other ontologies within the Open Biological and Biomedical Ontologies (OBO) Foundry. These cover a wide range of biomedical domains, from human anatomy and investigations to the chemical and protein entities involved in biological processes.We have created a database of over 16000 annotations that describe diagnostic modalities for specific phenotypic abnormalities as defined by the Human Phenotype Ontology (HPO). Additionally, 413 annotations are provided for medical actions for 189 rare diseases. We have developed a web application called POET (https://poet.jax.org/) for the community to use to contribute MAxO annotations.MAxO provides a computational representation of treatments and other actions taken for the clinical management of patients. The development of MAxO is closely coupled to the Mondo Disease Ontology (Mondo) and the Human Phenotype Ontology (HPO) and expands the scope of our computational modeling of diseases and phenotypic features to include diagnostics and therapeutic actions. MAxO is available under the open-source CC-BY 4.0 license (https://github.com/monarch-initiative/MAxO).
Investigating physician churn in online health communities from a social influence perspective
Authors: Chen Qin , Jin Jiahua , Zhang Tingting , Yan Xiangbin 
Published: July 2023

PurposeThe success of online health communities (OHCs) depends on maintaining long-term relationships with physicians and preventing churn. Even so, the reasons for physician churn are poorly understood. In this study, an empirical model was proposed from a social influence perspective to explore the effects of online social influence and offline social influence on physician churn, as well as the moderating effect of their online returns.Design/methodology/approachThe empirical data of 4,145 physicians from a Chinese OHC, and probit regression models were employed to verify the proposed theoretical model.FindingsThe results suggest that physicians' churn intention is influenced by online and offline social influences, and the offline social influence is more powerful. Physicians' reputational and economic returns could weaken the effect of online social influence on churn intention. However, physicians' economic returns could strengthen the effect of offline social influence on churn intention.Originality/valueThis research study is the first attempt to explore physician churn and divides the social influence into online and offline social influences according to the source of social relationship. The findings contribute to the literature on e-Health, user churn and social influence and provide management implications for OHC managers.
Co-creating organizational performance and project success through customer participation, requirement risk and knowledge integration: a multi-study evidence
Authors: Tabassum Marya , Raziq Muhammad Mustafa , Rice John Lewis , Borini Felipe Mendes , Wajid Anees 
Published: July 2023

PurposeTaking a co-creation perspective and integrating knowledge-based and resource-based perspectives, the authors examine the role of customer participation in organizational performance and project success. The authors also investigate the mediating role of knowledge integration and the moderating role of requirement risk for these relationships in uncertain contexts.Design/methodology/approachThe authors undertook two studies. The first study was carried out in 2018 in which the authors drew on survey data from 150 information technology (IT) sector employees and examined the mediating role of knowledge integration in the relationship of customer participation with organizational performance and project success. In the second study undertaken in 2020, the authors drew on data from 92 IT and telecom sector employees and examined the moderating role of requirement risk in the relationship between customer participation and knowledge integration. Study 2 was conducted during the COVID-19 pandemic when employees were largely working from home and were more sensitive to risks and uncertainty about the scope and system requirements. Both studies were survey-based, and analysis was carried out using structural equation modeling.FindingsThe authors’ two-study examination indicated that knowledge integration positively mediates the relationship of customer participation with organizational performance and project success during the co-creation process. Furthermore, the authors demonstrate that when requirement risks are high, customer participation relationship with knowledge integration is weaker.Originality/valueThe authors show that integrating customer knowledge is critical to project success and organizational performance. By identifying risk uncertainties and environmental contingencies, the authors highlight the constraints of customer participation for knowledge integration, organizational performance and project success. The authors provide some key study findings based on survey data obtained from project teams during two periods (normal and pandemic).
Total productive maintenance and sustainability performance: resource-based view perspective
Authors: Samadhiya Ashutosh , Agrawal Rajat 
Published: July 2023

PurposeSustainability performances (SPs) are the most crucial performances for an organisation in today's world, and they can be measured by economic, social, and environmental metrics. Previous research has not been clear on the role of total productive maintenance (TPM) in the context of sustainability, which motivates the authors to investigate the relationship between TPM and various SPs of the manufacturing firm. Therefore, current research investigates the relationship between TPM and the overall sustainability of the manufacturing firm from the perspective of resource-based view (RBV) theory.Design/methodology/approachThe current study proposed, tested and validated a conceptual framework using partial least squares structural equation modelling (PLS-SEM). A total of 326 responses were received to validate the conceptual framework in smartsPLS 3.0 software.FindingsThe research outcomes indicate that TPM considerably impacts a manufacturing firm's economic, environmental and social performance.Research limitations/implicationsThis research demonstrates that outstanding shop floor behaviour, such as TPM, can become an important asset to offer competitive advantages in a manufacturing firm. Similarly, TPM might serve as a roadmap for leveraging overall sustainability for manufacturing companies. The study indicates the establishment of a sustainability-oriented training protocol while practising TPM.Originality/valueNo past investigation indicates that a shop floor activity like TPM could be used as an input to offer sustainability in a single index for a manufacturing firm from the perception of RBV theory.
External knowledge sourcing, organizational ambidexterity and manufacturing performance: a new insight for dynamic operation management
Authors: Cheah Seng Cheong , Tan Cheng Ling 
Published: July 2023

PurposeThis study intends to examine the relationships between external knowledge sourcing (EKS), organizational ambidexterity (OA), and manufacturing performance (MP) in the context of large manufacturing firms within a dynamic environment setting. The research framework and derived hypotheses are grounded in the knowledge-based view (KBV) and dynamic capability (DC) theories.Design/methodology/approachA self-administered online survey was used in this study to gather data. Respondents were the operation leaders representing large manufacturing firms. The collected data were screened for invalid responses, and hypotheses were tested using structural equation modeling.FindingsThe study reveals that OA and EKS play key roles in achieving a better MP. Likewise, OA also mediates the relationship between EKS and MP.Research limitations/implicationsCross-sectional data were collected from large manufacturing firms within five focus sectors in Malaysia. A similar study can be conducted with more sectors of different contexts to confirm the findings.Practical implicationsKnowledge is critical for the firm to react to environmental dynamism, and the ability to manage it ambidextrously will enable the firm to enhance its performance.Originality/valueThis study offers empirical insights from the perspective of the large manufacturing firms in Malaysia, which are undergoing an Industrial Revolution 4.0 (IR4.0) transformation. This study bridges the knowledge gap by revealing the value that EKS can facilitate MP, exploring OA as the prevalent factor and demonstrating how KBV and DC can be applied in this study.
Factors affecting the adoption of cryptocurrencies for financial transactions
Authors: El Chaarani Hani , EL Abiad Zouhour , El Nemar Sam , Sakka Georgia 
Published: July 2023

PurposeThis study contributes to examining the factors that drive the adoption of cryptocurrencies for financial transactions in the tourism and hospitality industries. This is crucial to develop tourism and hospitality and stimulate financial inclusion in developing and developed countries.Design/methodology/approachThis research paper employs the SEM model and bootstrapping method on a sample of 417 French participants involved in tourism and hospitality industries to reveal the causal pathway between a set of independent factors and the willingness to adopt cryptocurrencies for financial transactions.FindingsThe empirical findings reveal that ease of use, perceived usefulness, social influence, and financial literacy increase the willingness to use cryptocurrencies. French hotels need to have a strategic orientation, to deal with customers, competitors and changing technological environment. The study also reveals that social influence and financial literacy reduce the level of perceived financial risk and thus, leads to increase the intention to adopt the new type of decentralized currencies.Originality/valueIn contrast to previous studies that focused on the volatility and risk of cryptocurrencies, this research employs a human-centric approach covering different factors that could lead to the adoption of the new type of currency for financial transactions in tourism and hospitality industries.
The modified model for hyperspectral estimation of soil organic matter using positive and inverse grey relational degree
Authors: Xu Guozhi , Li Xican , Che Hong 
Published: July 2023

PurposeIn order to improve the estimation accuracy of soil organic matter, this paper aims to establish a modified model for hyperspectral estimation of soil organic matter content based on the positive and inverse grey relational degrees.Design/methodology/approachBased on 82 soil sample data collected in Daiyue District, Tai'an City, Shandong Province, firstly, the spectral data of soil samples are transformed by the first order differential and logarithmic reciprocal first order differential and so on, the correlation coefficients between the transformed spectral data and soil organic matter content are calculated, and the estimation factors are selected according to the principle of maximum correlation. Secondly, the positive and inverse grey relational degree model is used to identify the samples to be identified, and the initial estimated values of the organic matter content are obtained. Finally, based on the difference information between the samples to be identified and their corresponding known patterns, a modified model for the initial estimation of soil organic matter content is established, and the estimation accuracy of the model is evaluated using the mean relative error and the determination coefficient.FindingsThe results show that the methods of logarithmic reciprocal first order differential and the first-order differential of the square root for transforming the original spectral data are more effective, which could significantly improve the correlation between soil organic matter content and spectral data. The modified model for hyperspectral estimation of soil organic matter has high estimation accuracy, the average relative error (MRE) of 11 test samples is 4.091%, and the determination coefficient (R2) is 0.936. The estimation precision is higher than that of linear regression model, BP neural network and support vector machine model. The application examples show that the modified model for hyperspectral estimation of soil organic matter content based on positive and inverse grey relational degree proposed in this article is feasible and effective.Social implicationsThe model in this paper has clear mathematical and physics meaning, simple calculation and easy programming. The model not only fully excavates and utilizes the internal information of known pattern samples with “insufficient and incomplete information”, but also effectively overcomes the randomness and grey uncertainty in the spectral estimation of soil organic matter. The research results not only enrich the grey system theory and methods, but also provide a new approach for hyperspectral estimation of soil properties such as soil organic matter content, water content and so on.Originality/valueThe paper succeeds in realizing both a modified model for hyperspectral estimation of soil organic matter based on the positive and inverse grey relational degrees and effectively dealing with the randomness and grey uncertainty in spectral estimation.
Research on the properties of separable binary functions
Authors: Jiang Zhi Cheng , Wei Yong 
Published: July 2023

PurposeAccording to the fact that the single function transformation which can both reduce the class ratio dispersion and keep the relative error no enlargement after the inverse transformation does not exist, this paper provides the separable binary function transformation F(x(k),k)=f(x(k))⋅g(k). The authors select the appropriate f(x(k)) and g(k) to get F(x(k),k)=f(x(k))⋅g(k). The sequence {F(x(k),k)}k=1n can not only improve the modeling accuracy but also ensure that the inverse transformation relative error has no enlargement.Design/methodology/approachFirst of all, to meet that the sequence reduces the class ratio dispersion after binary function transformation, the sufficient and necessary condition of binary function transformation with reduced class ratio dispersion is obtained. Secondly, to meet the condition that the inverse transformation relative error is not enlarged, the necessary condition of separable binary function transformation is obtained respectively for monotonically increasing and monotonically decreasing function f(x). Finally, the feasibility and correctness of this method are illustrated by example analysis and application.FindingsThe sufficient and necessary condition of binary function transformation with reduced class ratio dispersion and the necessary condition of separable binary function transformation with the inverse transformation relative error no enlargement.Practical implicationsAccording to the properties of separable binary function transformation provided in this paper, the grey prediction function model is established, which can improve the modeling accuracy.Originality/valueThis paper provides a binary function transformation, and researches the sufficient and necessary condition of binary function transformation with reduced class ratio dispersion and the necessary condition of separable binary function transformation with the inverse transformation relative error no enlargement. It is easy for scholars to carry out the pretest before selecting the separable binary function transformation. The binary function transformation is the further extension of single function transformation, which broadens and enriches the choice of function transformation.
Pandemic-oriented customer mistreatment, service sabotage and service performance: a self-presentation perspective
Authors: Khademi-Gerashi Mehdi , Akhgari Fatemeh , Damberg Svenja , Moradi Fatemeh 
Published: July 2023

PurposeIn this study, the authors develop a path model and investigate the effect of pandemic-oriented customer mistreatment on service sabotage through the lens of self-presentation theory. Moreover, the authors question the role of service climate as a moderator of the relationship between service sabotage and service performance.Design/methodology/approach Data were collected via a survey of 165 F&B frontline employees in restaurants in Iran. The hypotheses are examined using confirmatory factor analysis, structural equation modeling and ordinary least squares regression.FindingsThe findings reveal that POCM has a substantial and positive effect on service sabotage, and service climate mitigates the effect of service sabotage on service performance.Practical implications The study introduces and conceptually defines the term POCM. Furthermore, the authors apply the self-presentation theory as the overarching theory to explain underlying conditions in customer mistreatment and service sabotage. Moreover, although prior literature has described the saboteur–customer relationship as a one-line interaction, this study contributes to employee sabotage as a multi-linear transaction.Originality/value In this study, the authors identify new perspectives on the dark side of hospitality services in crises, such as the COVID-19 pandemic. The authors argue that pandemic-induced changes are essential not simply because they change customers’ moods and lower their patience threshold, but they further provoke ostentatious behaviors in saboteur–customer relations. These findings shed new light on the literature and provide managerial implications for enhancing hospitality performance.
Do CSR practices necessarily increase social capital? A sustainable development perspective
Authors: Lv Qiuying , Yang Nannan 
Published: July 2023

Purpose
Do corporate social responsibility (CSR) practices necessarily increase their social capital? The key to answering this question lies in understanding the impact of the interactive behavior of CSR and social capital on the sustainable operation and development of enterprises. This paper finds that existing studies cannot accurately describe the inherent interaction between CSR and social capital, and the results verified by econometric models are often abstract and do not adequately reflect the actual business situation of enterprises.

Design/methodology/approach
This article tries to make a breakthrough in two aspects: the article identifies the common practice object of CSR and social capital by using the “stakeholder” mechanism and puts forward the hypothesis of the relationship between CSR and social capital by observing the interaction behavior between enterprises and stakeholders; based on the perspective of sustainable development, the article proposes the elements of “trust, norm and rationality,” analyzes the behavioral choices of enterprises in social responsibility practice and social capital accumulation and clarifies the inherent relationship between them.

Findings
The article points out the impact of the multifaceted nature of the relationship between CSR practices and social capital enrichment on the sustainable development of enterprises and proposes that manufacturing enterprises in transformation and innovation should be analyzed using an objective position rather than value judgment.

Originality/value
This paper synthesizes the assessment data from the questionnaire, interview data and sustainability analysis to answer the questioning of existing research: CSR does not necessarily increase corporate social capital, and the relationship between the two is complex and multifaceted, depending on the specific target and business state of the company. The focus of this paper is to analyze in detail the three relationship assumptions that form when companies interact with their stakeholders, based on the sustainability perspective of “trust,” “norms” and “rationality.”