bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Human Evaluation Framework and Correlation with Automated Metrics for Natural Language Generation of Medical Diagnoses
Authors: Croxford Emma , Gao Yanjun , Patterson Brian , To Daniel , Tesch Samuel , Dligach Dmitriy , Mayampurath Anoop , Churpek Matthew M , Afshar Majid 
Published: March 2024

AbstractIn the evolving landscape of clinical Natural Language Generation (NLG), assessing abstractive text quality remains challenging, as existing methods often overlook generative task complexities. This work aimed to examine the current state of automated evaluation metrics in NLG in healthcare. To have a robust and well-validated baseline with which to examine the alignment of these metrics, we created a comprehensive human evaluation framework. Employing ChatGPT-3.5-turbo generative output, we correlated human judgments with each metric. None of the metrics demonstrated high alignment; however, the SapBERT score—a Unified Medical Language System (UMLS)-showed the best results. This underscores the importance of incorporating domain-specific knowledge into evaluation efforts. Our work reveals the deficiency in quality evaluations for generated text and introduces our comprehensive human evaluation framework as a baseline. Future efforts should prioritize integrating medical knowledge databases to enhance the alignment of automated metrics, particularly focusing on refining the SapBERT score for improved assessments.
BET inhibition induces GDH1-dependent glutamine metabolic remodeling and vulnerability in liver cancer
Authors: Mi Wen , You Jianwei , Li Liucheng , Zhu Lingzhi , Xia Xinyi , Yang Li , Li Fei , Xu Yi , Bi Junfeng , Liu Pingyu , Chen Li , Li Fuming 
Published: March 2024

AbstractBromodomain and extra-terminal domain (BET) proteins, which function partly through MYC, are critical epigenetic readers and emerging therapeutic targets in cancer. Whether and how BET inhibition simultaneously induces metabolic remodeling remains unclear. Here we find that even transient BET inhibition by JQ-1 and other pan-BET inhibitors blunts liver cancer cell proliferation and tumor growth. BET inhibition decreases glycolytic gene expression but enhances mitochondrial glucose and glutamine oxidative metabolism revealed by metabolomics and isotope labeling analysis. Specifically, BET inhibition downregulates miR-30a to upregulate glutamate dehydrogenase 1 (GDH1) independent of MYC, which produces α-ketoglutarate for mitochondrial oxidative phosphorylation (OXPHOS). Targeting GDH1 or OXPHOS is synthetic lethal to BET inhibiton, and combined BET and OXPHOS inhibition therapeutically prevents liver tumor growthin vitroandin vivo. Together, we uncover an important epigenetic-metabolic crosstalk whereby BET inhibition induces MYC- independent and GDH1-dependendent glutamine metabolic remodeling that can be exploited for innovative combination therapy of liver cancer.
UDP-6-glucose dehydrogenase in hormonally responsive breast cancers
Authors: Price Meghan J. , Nguyen Annee D. , Haines Corinne , Baëta César D. , Byemerwa Jovita , Murkajee Debarati , Artham Sandeep , Kumar Vardhman , Lavau Catherine , Wardell Suzanne , Varghese Shyni , Goodwin C. Rory 
Published: March 2024

AbstractSurvival for metastatic breast cancer is low and thus, continued efforts to treat and prevent metastatic progression are critical. Estrogen is shown to promote aggressive phenotypes in multiple cancer models irrespective of estrogen receptor (ER) status. Similarly, UDP-Glucose 6-dehydrogenase (UGDH) a ubiquitously expressed enzyme involved in extracellular matrix precursors, as well as hormone processing increases migratory and invasive properties in cancer models. While the role of UGDH in cellular migration is defined, how it intersects with and impacts hormone signaling pathways associated with tumor progression in metastatic breast cancer has not been explored. Here we demonstrate that UGDH knockdown blunts estrogen-induced tumorigenic phenotypes (migration and colony formation) in ER+ and ER- breast cancerin vitro. Knockdown of UGDH also inhibits extravasation of ER- breast cancerex vivo, primary tumor growth and animal survivalin vivoin both ER+ and ER- breast cancer. We also use single cell RNA-sequencing to demonstrate that our findings translate to a human breast cancer clinical specimen. Our findings support the role of estrogen and UGDH in breast cancer progression provide a foundation for future studies to evaluate the role of UGDH in therapeutic resistance to improve outcomes and survival for breast cancer patients.
Virtual reality and perceptions of destination presence
Authors: Yu Hongxiao , Oh Haemoon , Wang Kuo-Ching 
Published: March 2024

Purpose
This study aims to examine the underlying emotional process that explains how context-specific stimuli involved in virtual reality (VR) destinations translate into presence perceptions and behavioral intentions.

Design/methodology/approach
In total, 403 potential tourists participated in a self-administered online survey after they watched a randomly assigned VR tour. The Lavaan package in R software was used to conduct structural equation analysis and examine the proposed theoretical framework.

Findings
The results reveal that media content consisting of informativeness, aesthetics and novelty was positively related to users’ sense of presence in a VR tour. The effect of media content on presence was partially mediated by emotional arousal.

Practical implications
Managers and VR designers can create an emotive virtual tour that contributes to the user’s sense of presence to promote attraction to the target destination. The VR content needs to be informative, aesthetic and novel, which can excite users during the VR tour, portray virtual destinations clearly and eventually influence potential tourists’ visit intentions.

Originality/value
Research on the emotional mechanism to generate presence is still in its infancy. This study integrates presence theory into a conceptual framework to explore how media content influences presence and decision-making through the emotional mechanism.
Blockchain-based governance models in e-government: a comprehensive framework for legal, technical, ethical and security considerations
Authors: Mustafa Ghulam , Rafiq Waqas , Jhamat Naveed , Arshad Zeeshan , Rana Farhana Aziz 
Published: March 2024

Purpose
This study aims to evaluate blockchain as an e-government governance model. It assesses its alignment with legal frameworks, emphasizing robustness against disruptions and adherence to existing laws.

Design/methodology/approach
The paper explores blockchain’s potential in e-government, focusing on legal, ethical and governance aspects. It conducts an in-depth analysis of blockchain’s integration into data governance, emphasizing legal compliance and resilient security protocols.

Findings
The study comprehensively evaluates blockchain’s implementation, covering privacy, interoperability, consensus mechanisms, scalability and regulatory alignment. It highlights governance’s critical role in ensuring legal compliance within blockchain paradigms.

Research limitations/implications
Ethical and legal concerns arising from blockchain adoption remain unresolved. The study underscores how blockchain challenges its core principles of anonymity and decentralization in e-government settings.

Practical implications
The framework outlined offers potential for diverse technological environments, albeit raising ethical and legal queries. It emphasizes governance’s pivotal role in achieving legal compliance in blockchain adoption.

Social implications
Blockchain’s impact on legal and ethical facets necessitates further exploration to align with its core principles while addressing governance in e-government settings.

Originality/value
This study presents a robust framework for assessing blockchain’s viability in e-government, emphasizing legal compliance, despite ethical and legal intricacies that challenge its fundamental principles.
Drivers of intention to engage in informal economy activities during maternity leave
Authors: Morkūnas Mangirdas , Rudiene Elze , Wei Jinzhao 
Published: March 2024

PurposeThe present paper seeks to reveal the factors underlying the intentions of women on maternity leave to engage in informal economy activities.Design/methodology/approachA representative cross sectional survey of 417 women on maternity leave was selected as a main research approach. A structural equation modelling – partial equation modelling served as a research tool.FindingsThe study revealed that the most important determinants of intentions to become involved in informal economy activities during maternity leave are unsatisfactory financial situation, complicated legal regulation and fear of becoming uncompetitive in the labour market.Originality/valueTo the best of authors’ knowledge, it is the first scientific attempt to investigate the informal work/economy during maternal leave.
Dynamics of cereal product price transmission between markets in Burkina Faso
Authors: Diendere Achille Augustin , Dah Sansan Ali Bepounte 
Published: March 2024

PurposeEffective agricultural product price regulation policies depend on market integration and the degree of symmetry in the transmission of agricultural product price signals. This study analyzes the transmission and asymmetry of the price series between the Ouagadougou consumer market and assembly markets considering three primary cereal products in Burkina Faso.Design/methodology/approachThis study applies the nonlinear autoregressive distributed lag (NARDL) econometric model, which is an asymmetric extension of the ARDL cointegration model. The price series examined covers the period extending from January 2005 to December 2020.FindingsOur analysis provides novel insights regarding short- and long-term asymmetric effects in the transmission of price signals between assembly markets and the consumer market. We also determine that the effects of negative shocks are more persistent than those of positive shocks in several markets.Research limitations/implicationsFor markets that exhibit symmetrical responses of assembly market prices to consumer market prices, the results could reflect the continuous efforts of market players, particularly the government, to eliminate market failures and ensure the long-term efficiency of cereal markets. To this end, an agricultural market information system can have a crucial role in easing information access for all market players.Originality/valueThis study provides new evidence regarding the nature of the transmission and asymmetry of price information on primary cereal products in the largest markets in Burkina Faso. Applying the NARDL model makes it possible to simultaneously estimate short- and long-term asymmetry.
Modeling innovative work behavior through leadership behaviors in the hospitality industry; the role of work–family enrichment
Authors: Kyei-Frimpong Michael , Berko Obeng Damoah Obi , Osafroadu Amankwah Majoreen 
Published: March 2024

PurposeThis study aims to examine authentic leadership behavior (ALB) and empowering leadership behavior (ELB) as predictors of innovative work behavior (IWB) while assessing the mediating role of work-family enrichment (WFE).Design/methodology/approachThrough the explanatory research design, data was retrieved from 303 respondents from 16 small-sized hotels in Ghana and analyzed quantitatively using descriptive and inferential statistics (hierarchical component analysis within PLS-SEM).FindingsThe study’s findings revealed that both ALB and ELB positively and significantly relate to IWB. Additionally, our study found that WFE partially mediated the nexus between ALB and IWB as well as ELB and IWB.Practical implicationsThe findings of our study imply that in the pursuit of excellence, ALB and ELB in the hospitality industry are crucial, as they not only nurture employee potential but also help employees to thrive both at home and at the workplace.Originality/valueThe hospitality literature lacks a comprehensive understanding of the underlying mechanism by which ALB and ELB influence IWB. To the best of the authors' knowledge, our study is the first empirical study conducted on ALB, ELB, WFE, and IWB in the hospitality industry.
Conceptualization and validation of customer participation in health care: a study on chronic illnesses management
Authors: Junaid Muhammad , Goudarzi Kiane , Rasheed Muhammad Faisal , N’Goala Gilles 
Published: March 2024

Purpose
Contrary to want-based services, customer participation has got lesser attention in high-credence services like health care. Customer participation for patients with chronic illnesses could be life-threatening and goes beyond the service organization’s physical environment. Realizing the importance of transformative service research in health-care services, this study aims to propose and validate the conceptualization of customer participation for patients with chronic illnesses.

Design/methodology/approach
The study uses sequential exploratory research design with mixed method research. The first phase is a qualitative exploration of the nature and meaning of customer participation by synthesizing theory and insights from semi-structured interviews (N = 75) with doctors, patients and paramedical staff. Next, survey data (N = 690) of patients with chronic illnesses is used to validate the proposed conceptualization. Finally, nomological validity was also tested on an additional survey data set (N = 362) using SEM and FsQCA.

Findings
The findings reveal that health-care customer participation is a three-dimensional behavioral construct in which a customer can participate by sharing information, involving in decision-making and ensuring compliance. The study also demonstrates that customer participation is a critical driver of satisfaction with life and perceived control on illness.

Practical implications
The research provides policy guidelines for owners and operators of health-care organizations in developing frameworks for collecting participation data, which can be used in strategies for seeking customer participation.

Originality/value
The research conceptualizes and validates “customer participation” as a multidimensional higher-order construct for patients with chronic illnesses, rarely focused in services marketing and management research on health care.
Do relational outcomes always generate willingness to pay for social enterprises’ products? The moderating effect of sustainability orientation
Authors: Ip Ching Yin 
Published: March 2024

PurposeThis study evaluated the effects of adherence to social missions and relational outcomes on willingness to pay for products from social enterprises.Design/methodology/approachThe study’s conceptual model was based on the social resource–based view. Three social enterprises in Taiwan were analysed, and the determinants of willingness to pay for products from these enterprises were investigated. An online survey was conducted, and 404 valid responses were collected and analysed using structural equation modelling. The moderating effect of sustainability orientation was evaluated using the multigroup method.FindingsThe results indicated that adherence to social missions was a critical predictor of relational outcomes and willingness to pay. In addition, sustainability orientation positively moderated the effect of relational outcomes on willingness to pay.Originality/valueThis study enriches the literature by applying the social resource–based view to the context of social enterprises. The study findings have key implications for managers and practitioners of social enterprises seeking to build relationships with stakeholders.
Enhancing the efficiency of a gas-fueled reheating furnace of the steelmaking industry: assessment and improvement
Authors: Sampaio Brasil João Eduardo , Piran Fabio Antonio Sartori , Lacerda Daniel Pacheco , Morandi Maria Isabel Wolf , Oliveira da Silva Debora , Sellitto Miguel Afonso 
Published: March 2024

PurposeThe purpose of this study is to evaluate the efficiency of a Brazilian steelmaking company’s reheating process of the hot rolling mill.Design/methodology/approachThe research method is a quantitative modeling. The main research techniques are data envelopment analysis, TOBIT regression and simulation supported by artificial neural networks. The model’s input and output variables consist of the average billet weight, number of billets processed in a batch, gas consumption, thermal efficiency, backlog and production yield within a specific period. The analysis spans 20 months.FindingsThe key findings include an average current efficiency of 81%, identification of influential variables (average billet weight, billet count and gas consumption) and simulated analysis. Among the simulated scenarios, the most promising achieved an average efficiency of 95% through increased equipment availability and billet size.Practical implicationsAdditional favorable simulated scenarios entail the utilization of higher pre-reheating temperatures for cold billets, representing a large amount of savings in gas consumption and a reduction in CO2 emissions.Originality/valueThis study’s primary innovation lies in providing steelmaking practitioners with a systematic approach to evaluating and enhancing the efficiency of reheating processes.
Key technologies of earthquake early warning system for China’s high-speed railway
Authors: Zhang Geming , Yang Lin , Jiang Wenxiang 
Published: March 2024

PurposeThe purpose of this study is to introduce the top-level design ideas and the overall architecture of earthquake early-warning system for high speed railways in China, which is based on P-wave earthquake early-warning and multiple ways of rapid treatment.Design/methodology/approachThe paper describes the key technologies that are involved in the development of the system, such as P-wave identification and earthquake early-warning, multi-source seismic information fusion and earthquake emergency treatment technologies. The paper also presents the test results of the system, which show that it has complete functions and its major performance indicators meet the design requirements.FindingsThe study demonstrates that the high speed railways earthquake early-warning system serves as an important technical tool for high speed railways to cope with the threat of earthquake to the operation safety. The key technical indicators of the system have excellent performance: The first report time of the P-wave is less than three seconds. From the first arrival of P-wave to the beginning of train braking, the total delay of onboard emergency treatment is 3.63 seconds under 95% probability. The average total delay for power failures triggered by substations is 3.3 seconds.Originality/valueThe paper provides a valuable reference for the research and development of earthquake early-warning system for high speed railways in other countries and regions. It also contributes to the earthquake prevention and disaster reduction efforts.
Mosaic of local adaptation between white clover and rhizobia along an urbanization gradient
Authors: Murray‐Stoker David , Johnson Marc T. J. 
Published: March 2024

Abstract

Urbanization frequently alters the biotic and abiotic environmental context. Variation in both the biotic and abiotic environment can result in selection mosaics that lead to locally adapted phenotypes. Ecological changes to urban environments can result in evolutionary responses across a diverse array of plants and animals, but the effects of urbanization on local adaptation and coevolution between species remain largely unstudied.

Using a common garden experiment of 30 populations and 1080 plants, we tested for local adaptation in the mutualism between white clover (Trifolium repens) and rhizobia (Rhizobium leguminosarum symbiovar trifolii) along an urbanization gradient. We asked: (Q1) are white clover and rhizobia locally adapted? (Q2) Does nitrogen (N) addition mediate the strength of local adaptation? (Q3) Is the strength of local adaptation in host plants related to the strength of local adaptation in rhizobia, as expected if white clover and rhizobia are coadapting? And (Q4) how does the degree of local adaptation vary with urbanization?

We found evidence for local adaptation for both white clover and rhizobia, with stronger signatures of local adaptation for rhizobia than white clover (Q1). While N addition positively affected plant biomass and negatively affected nodule density, N addition did not consistently mediate patterns of local adaptation (Q2). The strength of local adaptation was positively related between white clover and rhizobia under N addition, suggesting that soil N mediates coadaptation between white clover and rhizobia (Q3). We did not find a consistent relationship between measures of urbanization and local adaptation (Q4). Additionally, fitness responses for white clover and rhizobia were unrelated to Rhizobium abundance and local adaptation was unrelated to the broader bacterial microbiome in the soil inoculants or root endosphere.

Synthesis. Our results show a spatial mosaic in local adaptation, with stronger local adaptation for rhizobia than white clover. While urbanization does influence the ecology of plant–microbe interactions, our study suggests urbanization does not disrupt local adaptation and coevolution among mutualists.
How good are global DNA‐based environmental surveys for detecting all protist diversity? Arcellinida as an example of biased representation
Authors: Useros Fernando , García‐Cunchillos Iván , Henry Nicolas , Berney Cédric , Lara Enrique 
Published: March 2024

AbstractMetabarcoding approaches targeting microeukaryotes have deeply changed our vision of protist environmental diversity. The public repository EukBank consists of 18S v4 metabarcodes from 12,672 samples worldwide. To estimate how far this database provides a reasonable overview of all eukaryotic diversity, we used Arcellinida (lobose testate amoebae) as a case study. We hypothesised that (1) this approach would allow the discovery of unexpected diversity, but also that (2) some groups would be underrepresented because of primer/sequencing biases. Most of the Arcellinida sequences appeared in freshwater and soil, but their abundance and diversity appeared underrepresented. Moreover, 84% of ASVs belonged to the suborder Phryganellina, a supposedly species‐poor clade, whereas the best‐documented suborder (Glutinoconcha, 600 described species) was only marginally represented. We explored some possible causes of these biases. Mismatches in the primer‐binding site seem to play a minor role. Excessive length of the target region could explain some of these biases, but not all. There must be some other unknown factors involved. Altogether, while metabarcoding based on ribosomal genes remains a good first approach to document microbial eukaryotic clades, alternative approaches based on other genes or sequencing techniques must be considered for an unbiased picture of the diversity of some groups.
Self‐suasion: agents of Jewish conversion in Israel in search of religious sincerity
Authors: Kravel‐Tovi Michal 
Published: March 2024

AbstractThe title of this essay is intended as ironic. The irony resides in the fact that while the agents of state‐run Jewish conversion in Israel are preoccupied with the sincerity of conversion candidates, they are also troubled by the sincerity of their own religious belief and conduct. This essay will explore ethnographically how these religiopolitical actors engage with semiotic and interactive strategies of self‐suasion in order to reconcile their Zionist and religious commitments with the moral toll that they pay for knowingly facilitating less‐than‐ideal conversions. The essay demonstrates that while these actors embody the Israeli state's national missionary impetus to convert newcomers, they rely on a variety of communicative practices that help them project the constructed sincerity of converts onto their own self‐suaded religious sincerity.