bluuebunny/crossref_metadata_2025_split huggingface dataset:
Educational metaverse: an exploration and practice of VR wisdom teaching model in Chinese Open University English course
Authors: Yuan Jing , Liu Yongquan , Han Xichun , Li Aiping , Zhao Liling 
Published: May 2023

Purpose
The paper aims to propose a virtual reality (VR) wisdom teaching model in open university English course from the perspective of “Metaverse”. The study aims to testify the stimulation for English learning and the effectiveness of English-expressing with VR tools for adult learners from the practice in a pilot reform project.

Design/methodology/approach
The paper opted for an exploratory study using ICARE Design Model as the framework, under the grounded theories of constructivism and multi-modal teaching. The study compared the evaluation data of one-semester English learning performance between the experimental class (67 students) with VR practice and the controlled class (67 students), including speaking test score, qualitative feedback and in-depth experience analysis. The data were complemented by reflection paper analysis, including manual evaluation (the criteria of semantics, pronunciation, fluency and completeness), questionnaire survey (in the form of five-point Likert scale) and semi-structured interview.

Findings
The paper provides empirical insights about the VR wisdom teaching model in English language teaching and learning in a Chinese Open University. The empirical results suggest that “3I” features of VR technology could make up for the shortcomings of traditional English classes in open universities in China, and VR resources designed with curriculum teaching materials could also be helpful for students’ command of knowledge points and language skills. What’s more, the sense of authentic experience in virtual could promote the teaching and learning effect in college English classes.

Research limitations/implications
The present study focuses on a wisdom mode of foreign language teaching and learning for adult learners in open education, so the research results may lack generalizability. Therefore, researchers are encouraged to further explore the deep integration of VR/artificial intelligence in foreign language teaching and learning.

Originality/value
This paper fulfills an identified need to study how VR tools provide an engaging, fun and immersive language learning environment, to enhance autonomous learning and learning engagement.
Small arms combat modeling: a superior way to evaluate marksmanship data
Authors: Biggs Adam , Huffman Greg , Hamilton Joseph , Javes Ken , Brookfield Jacob , Viggiani Anthony , Costa John , Markwald Rachel R. 
Published: May 2023

PurposeMarksmanship data is a staple of military and law enforcement evaluations. This ubiquitous nature creates a critical need to use all relevant information and to convey outcomes in a meaningful way for the end users. The purpose of this study is to demonstrate how simple simulation techniques can improve interpretations of marksmanship data.Design/methodology/approachThis study uses three simulations to demonstrate the advantages of small arms combat modeling, including (1) the benefits of incorporating a Markov Chain into Monte Carlo shooting simulations; (2) how small arms combat modeling is superior to point-based evaluations; and (3) why continuous-time chains better capture performance than discrete-time chains.FindingsThe proposed method reduces ambiguity in low-accuracy scenarios while also incorporating a more holistic view of performance as outcomes simultaneously incorporate speed and accuracy rather than holding one constant.Practical implicationsThis process determines the probability of winning an engagement against a given opponent while circumventing arbitrary discussions of speed and accuracy trade-offs. Someone wins 70% of combat engagements against a given opponent rather than scoring 15 more points. Moreover, risk exposure is quantified by determining the likely casualties suffered to achieve victory. This combination makes the practical consequences of human performance differences tangible to the end users. Taken together, this approach advances the operations research analyses of squad-level combat engagements.Originality/valueFor more than a century, marksmanship evaluations have used point-based systems to classify shooters. However, these scoring methods were developed for competitive integrity rather than lethality as points do not adequately capture combat capabilities. The proposed method thus represents a major shift in the marksmanship scoring paradigm.
Do impact of cash flows and working capital ratios on performance of listed firms during the crisis? The cases of EU-28 and Western European countries
Authors: Akgün Ali İhsan , Memiş Karataş Ayyüce 
Published: May 2023

PurposeThis study examines investigating the relationship between cash flows, working capital ratios and firm performance during the global financial crisis.Design/methodology/approachTo examine the relationship between cash flow, working capital ratios and firm performance for EU-28 or Western European Countries (Norway, Turkey and Switzerland) listed firms, both panel and ordinary least squares (OLS) regression model are used to analyze the data obtained from sample.FindingsThe study empirical findings suggest that global financial crisis has negative effect on firm performance for all sample. In addition, our interaction term result shows that cash flows variables such as cash holding level (CHL) × Crisis, cash interactive effect (CIE) × Crisis and gross working capital ratio (GWC) × Crisis not contributed to firm performance for EU-28 listed firms. However, the authors find that net working capital ratio (NWC) × Crisis have statistically significant and positive effects on firm performance with return on assets (ROA).Practical implicationsThe findings of the study provide evidence for managers that listed firms have reduced working capital expenditures to increase cash holdings level during the financial crisis. The authors find that cash flow variables with CHL have positive effect on firm performance with return on equity (ROE) in Western European Countries and these results are consistent with Opler et al. (1999)'s empirical results, while CIE have a negative impact on firm performance such as ROE and earnings before interest tax margin (EBITM).Originality/valueGlobal financial crisis emphasizes the importance of working capital and liquidity that suggests an efficient cash holdings policy in response to the uncertainty following the crisis.
Social media users’ attitudes toward pervasiveness of fake news in Arab countries and its negative effects: Kuwait as a case study
Authors: Alqahs Khaled , Al-Kandari Yagoub Y. , Albuloushi Mohammad S. 
Published: May 2023

Purpose
The purpose of this study is to examine the respondents’ evaluation of the pervasiveness of fake news through various SM platforms in Kuwait. The authors also examined the respondents’ attitudes toward most fake news on SM. A total of 1,539 Kuwaitis were selected.

Design/methodology/approach
The questionnaire was the major tool for this study. The respondents, from whom demographic information was obtained, were asked about which SM platforms most frequently spread fake news, their attitudes toward the subjects most frequently involved in spreading fake news, their degree of use of the six SM platforms and interest in various subjects, and the attitudes toward the negative nature of SM news. SPSS was used for the data analysis.

Findings
The results showed that WhatsApp was the most likely to be used to disseminate fake news; Twitter and Instagram ranked second. The younger subjects were affected more by text and voice clips than the older ones.

Originality/value
The study, hopefully, produces new knowledge on the subject of fake news in social media, especially in the Arab world, since there are few studies conducted in the region. The study showed that WhatsApp was the SM tool most likely to be responsible for disseminating fake news in Kuwait, which may shed light on the usage of this application to be a news tool, rather than merely an interpersonal communication medium.
First three decades of cause-related marketing: building a deeper understanding through bibliometric analysis
Authors: Singh Akansha , Pathak Govind Swaroop 
Published: May 2023

Purpose
The recent development in the scholarship of cause-related marketing (CRM) highlights the growing popularity of this field of research. CRM is one of the forms of communicating corporate social responsibility (CSR). Although CSR is being extensively studied as a field of research, researchers have made limited efforts to review the development and progression of CRM research. Being an embryonic research field, a deeper understanding of the current state of CRM research and future research propositions is required. This study aims to fill this gap by providing a bibliometric review of the CRM research published in the Web of Science (WoS) database.

Design/methodology/approach
A bibliometric literature review has been conducted of the papers published in WoS database to map the field of research in CRM. Various techniques, namely, citation analysis, co-citation analysis, co-authorship analysis, co-occurrence analysis and bibliographic coupling have been incorporated, and analysis has been provided.

Findings
The findings highlight the important themes and research areas focused by CRM researchers. The study throws light on the important research avenues present in the field of CRM.

Originality/value
The findings offer both academic and practical implications. The present study is a novel study exploring the scholarship of CRM using the bibliometric analysis technique.
Auditing during a pandemic – can continuous controls monitoring (CCM) address challenges facing internal audit departments?
Authors: Singh Kishore , Best Peter 
Published: May 2023

PurposeDuring a pandemic, with businesses implementing social distancing protocols and work-from-home strategies, the use of continuous controls monitoring (CCM) may add value to the internal audit function. This study aims to examine the use of CCM technologies and the impact on the internal audit function during a pandemic.Design/methodology/approachThis study adopted a case study approach for this study because it focuses on questions of “how” and “what.” Case studies provided an opportunity for an in-depth analysis of the phenomena being investigated. Semi-structured interviews were used to collect data. This study did not use sampling. Instead, multiple case studies were used for data collection.FindingsBased on the findings, this study makes several contributions to the literature, for example, in health-care evidence suggests the pandemic has caused internal audit to focus on risk areas. Other industries, such as retail, have invested in CCM. However, in all cases, education and preparedness (or the lack thereof) appeared to significantly influence uptake of CCM. Organizations that made prior investments in CCM technologies experienced greater acceptance in the face of changing demands. Training in emerging technologies is a key competency in supporting audit operations in changing environments.Research limitations/implicationsAs the study was conducted with a small sample of cases, findings cannot be extrapolated nor generalized beyond the case study organizations.Practical implicationsThis study found that several factors limit adoption, exploitation and further development of CCM technologies, such as lack of top management support, acceptance of CCM technologies and suitable education and training of internal audit staff.Originality/valueThis study addresses the issue of the value that CCM offers organizations and whether it is a silver bullet that the internal audit profession needs, particularly when physical access to organizations may be restricted. The COVID-19 pandemic placed considerable focus on digital access. Better IT systems and more data will allow organizations to better support employees, inform strategic and financial decisions and engage stakeholders. During the recovery phase, leveraging investments in CCM technologies will contribute to internal audits’ ability to help clients to manage organizational risk.
Mapping and litho‐geophysical classification of potential mining areas by spatial remote sensing and helicopter‐borne gamma‐ray spectrometry (Tikirt, Anti‐Atlas, Morocco)
Authors: Achkouch Lahsen , Miftah Abdelhalim , Ouchchen Mohammed , Mamouch Younes , Attou Ahmed , Boutaleb Said , Dadi Bouchra 
Published: May 2023

AbstractThe primary focus of this study is to explore the potential mineral areas. Advanced Spaceborne Thermal Emission and Reflection Radiometer images and radiometric data were combined in the Tikirt region to map hydrothermal alteration zones associated with mineralized deposits. Advanced Spaceborne Thermal Emission and Reflection Radiometer images were analysed using band ratios, principal component analysis and a fuzzy logic model to discover argillic, phyllic, propylitic and iron oxide alterations and to generate a mineral prospectivity map. In addition, mono‐element maps of radiometric elements (K in %, eU in ppm, eTh in ppm) and their behaviour in the ternary image have been elaborated to determine the concentrations of radiometric elements and the variation of radiometric character along the exposed terrains. The F parameter was calculated to target high potassium concentration areas associated with hydrothermal alteration zones. Combining the two methods highlighted four hydrothermal alteration zones considered very promising from a mining point of view. These zones are generally linked to the magma bodies affected by normal faults and exhibit a clear spatial correlation with mineral occurrences.
Efficient prestack time migration velocity analysis: A correlation‐based global optimization approach
Authors: Xu Jincheng , Zhang Jianfeng 
Published: May 2023

AbstractAn accurate migration velocity model is vital to seismic imaging. Conventional time‐domain migration velocity analysis techniques commonly obtain the velocity model by iteratively picking the velocity spectra of common reflection point gathers or scanning selection, which is usually laborious and computationally expensive. To solve these issues, we propose a more effective migration velocity analysis method for prestack time migration. This method is based on cross‐correlation stacked time shift functions of local migrated gathers and uses the very fast simulated annealing algorithm to semi‐automatically invert the migration velocity parameters. This new correlation‐based objective function can catch subtle bending features of the reflector in the local migrated gather. The proposed approach applies an efficient global optimization algorithm that does not depend on the initial parameter value and is easy to extend to the multiparameter complex case. Moreover, the strategy of using local migrated gathers can incorporate prior information in the inversion to avoid the effects of misidentifying reflection events and the interference of multiples. Furthermore, applying a dynamic parameter constraint strategy for the very fast simulated annealing algorithm improves the convergence speed. Both synthetic and real data examples demonstrate that the proposed migration velocity analysis method can efficiently build an accurate time migration velocity model, which can also provide a good initial velocity model for depth migration.
Seasonality regulates the structure and biogeochemical impact of ectomycorrhizal fungal communities across environmentally divergent neotropical dry forests
Authors: Beidler Katilyn V. , Powers Jennifer S. , Dupuy‐Rada Juan M. , Hulshof Catherine , Medvigy David , Pizano Camila , Salgado‐Negret Beatriz , Van Bloem Skip J. , Vargas G German , Waring Bonnie G. , Kennedy Peter G. 
Published: May 2023

Abstract

Ectomycorrhizal (ECM) symbioses support forest functioning globally, yet both the structure and function of ECM fungal communities in seasonally dry neotropical forests (SDTFs), known for extreme heterogeneity in vegetation and edaphic properties, remain under characterized.

Here, we evaluated the relative influences of seasonal versus spatial variation in ECM fungal community structure in soils from four environmentally divergent SDTFs. We also assessed the importance of biotic and abiotic drivers of SDTF ECM fungal community structure at regional scales, as well as ECM impacts on soil carbon (C) and nitrogen (N) cycling.

ECM fungal frequency, relative abundance and richness all increased in the wet season, but spatial rather than seasonal effects explained more variation in community composition. Across the four SDTFs investigated, differences in tree communities drove ECM fungal community turnover more than geographic distances, site abiotic conditions or soil chemistry. Although soil moisture and ECM tree basal area were stronger predictors of soil biogeochemistry, incorporating ECM fungal community composition and relative abundance added explanatory power to models of soil C and N cycling in the wet season.

Synthesis: Our results highlight the importance of seasonality and plant community composition in shaping different aspects of SDTF ECM fungal community structure and diversity as well as the potential for both the plant and fungal components of ECM symbioses to impact soil functioning across heterogenous SDTFs. Furthermore, our findings suggest that alterations in SDTF plant community composition due to climate or land‐use change will have important consequences for ECM fungal diversity and associated effects on soil biogeochemical cycling.
Are non‐fungible token coins a good hedge against the stock market volatility?
Authors: Kumar Anoop S. , Rao Balaga Mohana 
Published: May 2023

AbstractWe test the hedge property of non‐fungible token (NFT) coins against equity market fluctuations and compare it with the hedge property of Bitcoin. We employ daily the returns of Bitcoin; three NFT coins, namely Theta, Enjin Coin and Decentraland, and three equity market indices: S&P 500, NASDAQ and CAC 40, ranging from 18 January 2018 to 12 January 2021. We estimate the hedge effectiveness of the three NFT coins and Bitcoin against stock market fluctuations. Our results suggest that NFT coins are a better hedge against equity market fluctuations than Bitcoin.
Outcomes in children after mild neonatal hypoxic ischaemic encephalopathy: A population‐based cohort study
Authors: Törn Anna E. , Hesselman Susanne , Johansen Kine , Ågren Johan , Wikström Anna‐Karin , Jonsson Maria 
Published: May 2023

AbstractObjectiveTo investigate whether mild neonatal hypoxic ischaemic encephalopathy (HIE) in term born infants is associated with cerebral palsy, epilepsy, mental retardation and death up to 6 years of age.DesignPopulation‐based cohort study.SettingSweden, 2009–2015.PopulationLive term born infants without congenital malformations or chromosomal abnormalities (n = 505 075).MethodsBirth and health data were retrieved from Swedish national health and quality registers. Mild HIE was identified by diagnosis in either the Swedish Medical Birth Register or the Swedish Neonatal Quality Register. Cox proportional hazards regression was used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs).Main outcome measuresA composite of the outcomes cerebral palsy, epilepsy, mental retardation and death up to 6 years of age.ResultsMedian follow‐up time was 3.3 years after birth. Of 414 infants diagnosed with mild HIE, 17 were classified according to the composite outcome and incidence rates were 12.6 and 2.9 per 1000 child‐years in infants with and without HIE respectively. Infants with mild HIE was four times as likely to be diagnosed with the composite outcome (HR 4.42, 95% CI 2.75–7.12) compared with infants without HIE. When analysed separately, associations were found with cerebral palsy (HR 21.50, 95% CI 9.59–48.19) and death (HR 19.10, 95% CI 7.90–46.21). HRs remained essentially unchanged after adjustment for covariates.ConclusionsMild neonatal HIE was associated with neurological morbidity and mortality in childhood. Challenges include identifying infants who may develop morbidity and how to prevent adverse outcomes.
Metabolic changes during larval–pupal metamorphosis of Helicoverpa armigera
Authors: Gao Xinxin , Zhang Jihong , Qin Qilian , Wu Peipei , Zhang Huan , Meng Qian 
Published: May 2023

AbstractEnergy metabolism is essential for insect metamorphosis. The accumulation and utilization of energy is still not completely clear during larval–pupal metamorphosis of holometabolous insects. We used metabolome and transcriptome analysis to reveal key metabolic changes in the fat body and plasma and the underlying metabolic regulation mechanism of Helicoverpa armigera, an important global agricultural insect pest, during larval–pupal metamorphosis. During the feeding stage, activation of aerobic glycolysis provided intermediate metabolites and energy for cell proliferation and lipid synthesis. During the non‐feeding stages (the initiation of the wandering stage and the prepupal stage), aerobic glycolysis was suppressed, while, triglyceride degradation was activated in the fat body. The blocking of metabolic pathways in the fat body was probably caused by 20‐hydroxyecdysone‐induced cell apoptosis. 20‐hydroxyecdysone cooperated with carnitine to promote the degradation of triglycerides and the accumulation of acylcarnitines in the hemolymph, allowing rapid transportation and supply of lipids from the fat body to other organs, which provided a valuable reference for revealing the metabolic regulation mechanism of lepidopteran larvae during the last instar. Carnitine and acylcarnitines are first reported to be key factors that mediate the degradation and utilization of lipids during larval–pupal metamorphosis of lepidopteran insects.
Misogyny, authoritarianism, and climate change
Authors: Kaul Nitasha , Buchanan Tom 
Published: May 2023

AbstractGlobally, democratic politics are under attack from Electorally Legitimated Misogynist Authoritarian (ELMA) leaders who successfully use misogyny as a political strategy and present environmental concern in feminine and inferior terms. The ascendancy of such projects raise questions involving socioeconomic structures, political communication, and the psychological underpinnings of people's attitudes. We offer misogyny, conceptualized in a specific way – not simply as hatred or disgust for women, but as a way of accessing a gendered hierarchy whereby that which is labeled “feminine” is perceived as inferior, devalued, and amenable to be attacked – as a relevant transmission mechanism in how ELMAs like Trump may connect with public opinion by systematically investigating the interplay between misogyny, authoritarianism, and climate change in the context of the United States. Using a survey methodology (N = 314) and up‐to‐date questionnaires, we provide a concrete empirical underpinning for recent analytical and theoretical work on the complexity of misogyny. We analyze how misogynist and authoritarian attitudes correlate with climate change, adding to the literature on opposition to climate change policy. An additional exploratory aspect of our study concerning US voter preferences clearly indicates that Trump supporters are more misogynist, more authoritarian, and less concerned with the environment.