bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rhizopus homothallicus, an uncommon causative agent of Rhino-orbital mucormycosis: A Case report
Authors: SAHA UMA SHANKAR , Gupta Minakshi , Kumar Alok , Mishra Minakshi 
Published: January 2023

Introduction: Rhizopus oryzae is the most common Mucorales to cause angio-invasive infections though other species may also be found to be associated with different type of invasive infections. This case is about an uncommon species of Mucorales found to cause fungal sinusitis.
Case presentation: A male patient in his late 60s with known history of uncontrolled type 2 diabetes for about last 10 years presented with headache, nasal congestion and with history of fever in recent past. As condition did not improve with initial symptomatic treatment given, further workup was advised. Magnetic resonance imaging (MRI) was carried out which was suggestive of sinusitis. Biopsy was taken from affected sinus for further testing and work up. Microscopic examination from material taken out by biopsy showed few broad aseptate hyaline hyphae with right angle branching (Figure 1). Fungal culture in Sabouraud Dextrose Agar media incubated at 37o C and 25o C showed white cottony growth within 3 days. Lactophenol Cotton Blue mount showed broad, aseptate hyphae with not-well-developed sporangiophores bearing few globose sporangia and many large numbers of golden brown zygospores with stellate walls and with suspensor cells, which was identified as Rhizopus homothallicus. Liposomal amphotericin B was given for treatment along with resection of local infected area. Subsequently patient improved with treatment.
Conclusion: Our purpose of reporting this case was to highlight the fact that though uncommon this species may emerge sporadically. More cases like this may be reported in future from different parts of the world as well.
Putting ChatGPT’s Medical Advice to the (Turing) Test
Authors: Nov Oded , Singh Nina , Mann Devin M. 
Published: January 2023

AbstractImportanceChatbots could play a role in answering patient questions, but patients’ ability to distinguish between provider and chatbot responses, and patients’ trust in chatbots’ functions are not well established.ObjectiveTo assess the feasibility of using ChatGPT or a similar AI-based chatbot for patient-provider communication.DesignSurvey in January 2023SettingSurveyParticipantsA US representative sample of 430 study participants aged 18 and above was recruited on Prolific, a crowdsourcing platform for academic studies. 426 participants filled out the full survey. After removing participants who spent less than 3 minutes on the survey, 392 respondents remained. 53.2% of respondents analyzed were women; their average age was 47.1.Exposure(s)Ten representative non-administrative patient-provider interactions were extracted from the EHR. Patients’ questions were placed in ChatGPT with a request for the chatbot to respond using approximately the same word count as the human provider’s response. In the survey, each patient’s question was followed by a provider- or ChatGPT-generated response. Participants were informed that five responses were provider-generated and five were chatbot-generated. Participants were asked, and incentivized financially, to correctly identify the response source. Participants were also asked about their trust in chatbots’ functions in patient-provider communication, using a Likert scale of 1-5.Main Outcome(s) and Measure(s)Main outcome: Proportion of responses correctly classified as provider- vs chatbot-generated. Secondary outcomes: Average and standard deviation of responses to trust questions.ResultsThe correct classification of responses ranged between 49.0% to 85.7% for different questions. On average, chatbot responses were correctly identified 65.5% of the time, and provider responses were correctly distinguished 65.1% of the time. On average, responses toward patients’ trust in chatbots’ functions were weakly positive (mean Likert score: 3.4), with lower trust as the health-related complexity of the task in questions increased.Conclusions and RelevanceChatGPT responses to patient questions were weakly distinguishable from provider responses. Laypeople appear to trust the use of chatbots to answer lower risk health questions. It is important to continue studying patient-chatbot interaction as chatbots move from administrative to more clinical roles in healthcare.Conclusions and RelevanceAI in Medicine; ChatGPT; Generative AI; Healthcare AI; Turing Test;
Limits on Inferring Gene Regulatory Networks Subjected to Different Noise Mechanisms
Authors: Saint-Antoine Michael , Singh Abhyudai 
Published: January 2023

AbstractOne of the most difficult and pressing problems in computational cell biology is the inference of gene regulatory network structure from transcriptomic data. Benchmarking network inference methods on model organism datasets has yielded mixed results, in which the methods sometimes perform reasonably well and other times fail to outperform random guessing. In this paper, we analyze the feasibility of network inference under different noise conditions using stochastic simulations. We show that gene regulatory interactions with extrinsic noise appear to be more amenable to inference than those with only intrinsic noise, especially when the extrinsic noise causes the system to switch between distinct expression states. Furthermore, we analyze the problem of false positives between genes that have no direct interaction but share a common upstream regulator, and explore a strategy for distinguishing between these false positives and true interactions based on noise profiles of mRNA expression levels. Lastly, we derive mathematical formulas for the mRNA noise levels and correlation using moment analysis techniques, and show how these levels change as the mean mRNA expression level changes.
Board gender diversity and workplace diversity: a machine learning approach
Authors: Ranta Mikko , Ylinen Mika 
Published: January 2023

Purpose
This study aims to examine the association between board gender diversity (BGD) and workplace diversity and the relative importance of various board and firm characteristics in predicting diversity.

Design/methodology/approach
With a novel machine learning (ML) approach, this study models the association between three workplace diversity variables and BGD using a social media data set of approximately 250,000 employee reviews. Using the tools of explainable artificial intelligence, the authors interpret the results of the ML model.

Findings
The results show that BGD has a strong positive association with the gender equality and inclusiveness dimensions of corporate diversity culture. However, BGD is found to have a weak negative association with age diversity in a company. Furthermore, the authors find that workplace diversity is an important predictor of firm value, indicating a possible channel on how BGD affects firm performance.

Originality/value
The effects of BGD on workplace diversity below management levels are mainly omitted in the current corporate governance literature. Furthermore, existing research has not considered different dimensions of this diversity and has mainly focused on its gender aspects. In this study, the authors address this research problem and examine how BGD affects different dimensions of diversity at the overall company level. This study reveals important associations and identifies key variables that should be included as a part of theoretical causal models in future research.
Integrating higher degree education with practice: exploring the value proposition of executive MBA apprenticeships
Authors: Evans Marian , Cloutier L. Martin 
Published: January 2023

PurposeThe study aims to explore how the collective representations of stakeholders associated with an Executive MBA (EMBA) apprenticeship are conceptualised, and what value elements are perceived as relevant for personal, professional and organisational development.Design/methodology/approachForty stakeholders participated in a mixed methods-based group concept mapping (GCM) approach, representing the tripartite relationship of an EMBA apprenticeship. This approach allowed the deconstruction and shared understanding of the value proposition of higher degree apprenticeships.FindingsAnalysis identified seven conceptualised value clusters around an eight central cluster “Professional Development”. Two regions of meaning were identified: the personal dimensions of apprentices and their contribution within and to their organisation. Findings showed that a work-based designed curriculum improves confidence and communication skills and that much of the value proposition is personal and self-managed by the apprentices. The tripartite relationship was shown to be incomplete and inconsistent, particularly regarding mentoring and reflective practice.Practical implicationsThe pandemic has brought about significant changes in business practice. This study identifies several areas for improving higher degree apprenticeship pedagogy in readiness for the new business landscape, as well as identifying limitations of the tripartite relationship.Originality/valueThe study addresses a gap in the literature by exploring the value proposition an EMBA apprenticeship programme. The interrelatedness of cluster concepts has identified value elements missing from previous apprenticeship delivery. Deconstructing the senior leader apprenticeship enables educators to redesign and refine models of engagement for improving the apprenticeship experience.
Plant-based food is unhealthy—that’s not true! How can corrective messages help promote plant-based menus in quick-service restaurants?
Authors: Zhang Xingyi , Jeong EunHa , Shao Xiaolong , Jang SooCheong (Shawn) 
Published: January 2023

Purpose
This study aims to identify effective ways to promote plant-based foods in quick-service restaurants by considering customers’ food-related health involvement.

Design/methodology/approach
This study conducted a 2 (message format: myth/fact or fact-only) × 2 (message focus: benefit- or attribute-focused) × 2 (health involvement: high or low) quasi-experimental design via a scenario-based online survey. A multivariate analysis of covariance and a bootstrapping approach were used to test the hypotheses (N = 365).

Findings
The results indicated that message format and focus jointly influenced customers’ perceived health consequences of plant-based foods and purchase intentions; customers’ health involvement altered the two-way interaction between message format and focus; and perceived health consequences mediated the effects of message format and focus as and customers’ health involvement on purchase intentions.

Research limitations/implications
This study identifies the effectiveness of message format and focus in promoting plant-based foods and extends the sustainable product promotion literature by using resource matching theory and the elaboration likelihood model. Future studies should use field studies to examine how can message framing influence customers’ actual behaviors when purchasing plant-based foods.

Practical implications
This study can help quick-service restaurants better promote plant-based foods considering message format and focus and customers’ food-related health involvement.

Originality/value
This is one of only a few studies that have tested how messages containing both negative and positive information about a product could help promote plant-based foods.
Linking competitive priorities, smart manufacturing advancement and organizational microfoundations
Authors: Arcidiacono Francesco , Ancarani Alessandro , Di Mauro Carmela , Schupp Florian 
Published: January 2023

PurposeSmart Manufacturing (SM) lies at the core of Industry 4.0. Operations management research has investigated the determinants of SM advancement but there is still limited understanding of the linkages between SM and organizational factors and about whether both the technological and organizational subsystems for SM are guided by firms’ competitive priorities. To close these gaps, building on operations strategy theory, this paper aims to empirically test a model positing that competitive priorities drive SM advancement. The relation between competitive priorities and SM advancement is assumed to be mediated by organizational microfoundations.Design/methodology/approachUsing data from a single respondent survey with 234 firms in the automotive component industry, structural equation modeling is adopted to test the model hypotheses. Relevant constructs are measured with reference to the lead plant for SM.FindingsFindings highlight that SM advancement is driven by the need to simultaneously compete in terms of cost, quality and delivery, thus suggesting that manufacturers view SM as a mean to develop multiple manufacturing capabilities. Organizational microfoundations fully mediate the relation between competitive priorities and SM advancement.Originality/valueResults have implications for SM research, as they provide an understanding of the strategic priorities of firms engaging in SM. Findings also bear relevance for manufacturing executives engaged in the SM transformation, as they provide quantitative evidence that shaping an adequate organizational environment is a prerequisite for SM advancement.
The effect of digital financial inclusion on the green economy: the case of Egypt
Authors: Salman Doaa , Ismael Doaa 
Published: January 2023

PurposeThis paper aims to assess whether digital financial inclusion (DFI) supports Egypt's CO2 reduction efforts. More specifically, this paper examines the dynamics between digital finance, traditional financial inclusion (TFI) and renewable energy on carbon emission in Egypt.Design/methodology/approachThe study employed the autoregressive distributive lag (ARDL) model for Egypt over the period 1990–2020 to estimate an extended STIRPAT model for long-run linkages of DFI, traditional bank-based financial inclusion and renewable energy on carbon emissions, along with other control variables.FindingsThe results showed that using digital financial services limits carbon emissions in the long run but not in the short run, indicating that Egypt is still in its early stage of digitalization (DFI < 0.5). Moreover, renewable energy proved to have a significant negative impact on carbon emissions in the long run, implying that more investments in renewable energy projects will improve environmental quality.Practical implicationsThe findings from this study help policymakers incorporate DFI policies into climate change adaptation strategies and execute better green growth policies that integrate DFI with energy-efficient technologies investments for a better environment.Social implicationsFoster economic growth and sustinabaility.Originality/valueThis study contributes to the literature by quantifying the DFI in Egypt using a two-stage principal component analysis and then examines its impact on carbon emission reduction efforts. In addition, this paper extends the research on the environment from the perspective of digital finance, making it possible to excavate more deeply into the relationship between financial inclusion and carbon emission and draw more explicit policy implications for sustainable economic growth.
Average-profit efficiency and optimal scale sizes with integer data and undesirable outputs
Authors: Karimi Omshi Somayye , Kordrostami Sohrab , Amirteimoori Alireza , Ghane Kanafi Armin 
Published: January 2023

PurposeData envelopment analysis (DEA) is a significant method for measuring the relative efficiency of decision making units (DMUs) that use the least inputs, produce the most desirable outputs and emit the least undesirable outputs in order to maximize their profits. In DEA, detecting an optimal scale size (OSS) is also vital and could be more applicable in economic activities when there are integer and undesirable measures. The purpose of this research is to measure average-profit efficiency (APE) and OSSs with integer data and undesirable outputs.Design/methodology/approachThis study presents an alternative concept of APE using the concepts of most productive scale size (MPSS), profit efficiency and scales, containing desirable and undesirable outputs along with integer and non-integer measures. In fact, the OSS minimizes APE as the optimal scale, which is the ratio of the profit efficiency to the radial average output. Considering the prices of the inputs and desirable outputs, as well as the lack of any specific weight for the undesirable outputs, a two-step model for the numerical calculation of OSS is presented. In addition, the proposed approach is applied to a real data set of Iranian gas companies while there are integer measures and undesirable outputs.FindingsThe results show the introduced approach is beneficial to estimate OSSs from the aspect of maximizing profits of firms with undesirable outputs and integer values.Originality/valueEstimating OSSs is the significant issue for managers, but its investigation in the presence of integer measures and undesirable outputs is presently under-considered.
High short interest stocks performance during the Covid-19 crisis: an informational efficacy measure based on permutation-entropy approach
Authors: Siokis Fotios 
Published: January 2023

PurposeThe author examine the performance of a number of high short interest stocks along with the prices of the GameStop stock and three major stock exchange indices, particularly for the period after the eruption of the Covid-19 crisis.Design/methodology/approachWith the employment of the complexity–entropy causality plane approach, the author categorize the stock prices in terms of the level of informational efficiency.FindingsThe author reported that the efficiency level for the index of the high short interest stocks falls considerably, not only at the onset of the Covid-19 crisis but during the health crisis period at hand. This is translated into proof of less uncertainty in predicting the stock prices of these specific stocks. On the other hand, the GameStop prices exhibit the same behavior as those with the high short interest firms, but change considerably in the middle of the crisis. The reversal of the behavior, by obtaining higher informational efficiency levels, is attributed to the short squeeze frenzy that increased the price of the stock many times over. Among the stock market indices, the Dow Jones Industrial Average and the S&P 500 decreased their efficiency levels marginally, after the surge of the crisis, while the Russell 2000 index kept the level intact. The high and stable degree of randomness could be attributed to the measures taken concurrently by the Federal Reserve and the government immediately after the outbreak of the crisis.Originality/valueThis is one of the few studies that examine the impact of short selling behavior on the efficiency level of certain stocks' prices, particularly during the health public crisis. It provides an alternative approach to measuring quantitatively the degree of inefficiency and randomness.
Audit threats and year-end spending by government agencies: experimental evidence from Chile
Authors: Engel Eduardo , Jordán Felipe , Rau Tomás , Repetto Andrea 
Published: January 2023

Purpose
The paper aims to estimate the capacity of supreme audit institutions’ (SAIs) audits to deter potentially wasteful year-end procurement spending. It also studies heterogeneous responses to SAIs’ audits depending on whether agencies’ top managers are appointed through a competitive procedure or not.

Design/methodology/approach
A letter signed by the head of Chile’s SAI was sent to a hundred randomly chosen agencies two weeks before the end of the fiscal year, with instructions on year-end spending accounting and an audit threat. In addition, a hundred agencies that did not receive the letter were used as a control group.

Findings
Agencies that received the letter reduced year-end aggregate procurement spending by 33% relative to controls. Purchases of office supplies, safety equipment, personal care products and paper products experienced the most considerable reductions. The decrease in year-end spending was smaller for agencies with at least one top manager appointed through a competitive procedure.

Research limitations/implications
A SAI’s audit threat significantly reduced year-end procurement spending. Larger reductions in agencies headed by political appointees and across categories of goods that have been flagged as likely to be purchased to exhaust the budget suggest the avoided expenditures would have been wasteful. Further research is needed to determine if the net social value of year-end procurement spending deterred by SAIs audits is negative as suggested.

Social implications
This paper has implications for the institutional support of SAIs audits and civil service.

Originality/value
This paper provides novel experimental evidence of SAIs’ audits’ deterrence power on public agencies’ year-end procurement spending.
Environmental education in public libraries
Authors: Devine Jennie , Appleton Leo 
Published: January 2023

PurposeThis research aims to investigate effective public library environmental education interventions in order to inform the development of a framework for public libraries.Design/methodology/approachA qualitative research method was developed incorporating surveys and follow-up interviews with librarians working in USA public libraries, who were known to have been involved in environmental education initiatives.FindingsThe research determined which environmental education interventions were most likely to lead to action and behaviour change in public library users. The resulting discussion has allowed for the creation of a framework which establishes factors useful for successful implementation of environmental education programmes and activities. These elements include partnership, institutional commitment, inclusion and outreach and practical activities linked to a larger vision.Research limitations/implicationsThe research participants were limited to those libraries in the USA which were all affiliated with the American Library Association (ALA) Resilient Communities programmes and had received grants.Practical implicationsThe paper concludes with a framework for implementing environmental education programmes in public libraries. Effective interventions are also shared which provide practical ideas and strategies.Social implicationsProviding structure and considerations for establishing an environmental programme enables libraries to build on experiences of other libraries. As climate change action becomes a more pressing issue, providing these interventions supports action.Originality/valueThe paper discusses the concepts of environmental education and the role which public libraries can play in this arena, concluding that sustainable development should be treated as a new tenet of librarianship and environmental education as a new research field of library and information science.
GHRM and employer branding: empirical study in developing and developed economies
Authors: Muisyo Paul Kivinda , Su Qin , Julius Mercy Muthoni , Hossain Syed Far Abid 
Published: January 2023

Purpose
The purpose of this study was to compare the effect of GHRM practices on employer branding among firms in developed and developing economies.

Design/methodology/approach
This study applied a cross-sectional survey for 234 respondents. The sample was derived from multiple databases consisting of firms in developed and developing countries.

Findings
The analysis indicates that green competence building practices and green performance management practices are positively related to environmental reputation and hence employer brand. Green employee involvement is exceptional because it has a more positive influence on environmental reputation in developed economies.

Originality/value
This study is cross-national in nature and compares GHRM practices in developed and developing economies.