bluuebunny/crossref_metadata_2025_split huggingface dataset:
Constitutive upregulation of transcription factors underlies permissive bradyzoite differentiation in a natural isolate ofToxoplasma gondii
Authors: Xia Jing , Fu Yong , Huang Wanyi , Sibley L. David 
Published: February 2024

AbstractToxoplasma gondiibradyzoites play a critical role in pathology due to their long-term persistence in intermediate hosts and their potential to reactivate, resulting in severe diseases in immunocompromised individuals. Currently there is no effective treatment for eliminating bradyzoites. Hence, betterin vitromodels ofT. gondiicyst development would facilitate identification of therapeutic targets for bradyzoites. Herein we characterized a natural isolate ofT. gondii, called Tg68, which showed slowerin vitroreplication of tachyzoites, and permissive bradyzoite development under stress conditionsin vitro. Transcriptional analysis revealed constitutive expression in Tg68 tachyzoites of the key regulators of bradyzoite development includingBFD1,BFD2, and several AP2 factors. Consistent with this finding, Tg68 tachyzoites expressed high levels of bradyzoite-specific genes includingBAG1,ENO1, andLDH2. Moreover, after stress induced differentiation, Tg68 bradyzoites exhibited gene expression profiles of mature bradyzoites, even at early time points. These data suggest that Tg68 tachyzoites exist in a pre-bradyzoite stage primed to readily develop into mature bradyzoites under stress conditionsin vitro. Tg68 presents a novel model for differentiationin vitrothat will serve as a useful tool for investigation of bradyzoite biology and development of therapeutics.SignificanceToxoplasma gondiiis a widespread protozoan that chronically infects ∼30% of the world’s population.T. gondiican differentiate between the fast-growing life stage that causes acute infection and the slow-growing stage that persists in the host for extended periods of time. The slow-growing stage cannot be eliminated by the host immune response or currently known antiparasitic drugs. Studies on the slow-growing stage have been limited due to the limitations ofin vivoexperiments and the challenges ofin vitromanipulation. Here, we characterize a natural isolate ofT. gondii, which constitutively expresses factors that drive development and that is permissive to convert to the slow-growing stage under stress conditionsin vitro. The strain presents a novelin vitromodel for studying the chronic phase of toxoplasmosis and identifying new therapeutic treatments for chronic infections.
Monkey Prefrontal Cortex Learns to Minimize Sequence Prediction Error
Authors: Cheng Huzi , Chafee Matthew V. , Blackman Rachael K. , Brown Joshua W. 
Published: February 2024

AbstractIn this study, we develop a novel recurrent neural network (RNN) model of pre-frontal cortex that predicts sensory inputs, actions, and outcomes at the next time step. Synaptic weights in the model are adjusted to minimize sequence prediction error, adapting a deep learning rule similar to those of large language models. The model, called Sequence Prediction Error Learning (SPEL), is a simple RNN that predicts world state at the next time step, but that differs from standard RNNs by using its own prediction errors from the previous state predictions as inputs to the hidden units of the network. We show that the time course of sequence prediction errors generated by the model closely matched the activity time courses of populations of neurons in macaque prefrontal cortex. Hidden units in the model responded to combinations of task variables and exhibited sensitivity to changing stimulus probability in ways that closely resembled monkey prefrontal neurons. Moreover, the model generated prolonged response times to infrequent, unexpected events as did monkeys. The results suggest that prefrontal cortex may generate internal models of the temporal structure of the world even during tasks that do not explicitly depend on temporal expectation, using a sequence prediction error minimization learning rule to do so. As such, the SPEL model provides a unified, general-purpose theoretical framework for modeling the lateral prefrontal cortex.
Sci-comm “behind the scenes”: Gendered narratives of scientific outreach activities in the life sciences
Authors: Beasley-Hall Perry G. , Papadelos Pam , Hewitt Anne , Lassaline Charlotte R. , Umbers Kate D. L. , Guzik Michelle T. 
Published: February 2024

AbstractScience communication, orsci-comm, is a broad term describing activities seeking to increase scientific literacy. Sci-comm has a positive impact on perceptions of science, public policy, public scientific literacy, and career choices of future scientists. Yet, sci-comm is often viewed as at odds with, or tangential, to academic achievement, as non-scientific, or as less worthy a time commitment compared to internal communication in academia. In Australia, scientific societies and organisations engage in a range of activities underpinned by communal, or so-called “behind-the-scenes”, sci-comm work by individuals done almost exclusively on a voluntary basis. Given an apparent undervaluing of sci-comm work in academia, we established a pilot study to investigate who does this work, in what capacity, and why. A semi-structured online survey was administered to 88 Australian life sciences organisations for dissemination to their members, and 49 responses were received. Respondents were mostly women in early-career researcher positions at universities. Participants almost universally agreed that their sci-comm contributions to organisations were not beneficial to career progression. Some participants suggested that this perception might stem from it being perceived as feminised or categorised as “care work”, potentially resulting in its undervaluation. However, most also cited a range of personal and professional benefits gained from the work, including giving back to the general public and scientific community, and developing skills relevant to translating scientific research. The majority of survey respondents indicated that they were likely to continue such work in the future. Gaining a deeper understanding of the motivations behind, and perceptions of, behind-the-scenes sci-comm work will aid in overcoming barriers that disproportionately affect women, and promote better acknowledgement and recognition of their contributions in the future.
Dynamic reinforcement learning reveals time-dependent shifts in strategy during reward learning
Authors: Venditto Sarah Jo C , Miller Kevin J , Brody Carlos D , Daw Nathaniel D 
Published: February 2024

AbstractDifferent brain systems have been hypothesized to subserve multiple “experts” that compete to generate behavior. In reinforcement learning, two general processes, one model-free (MF) and one model-based (MB), are often modeled as a mixture of agents (MoA) and hypothesized to capture differences between automaticity vs. deliberation. However, shifts in strategy cannot be captured by a static MoA. To investigate such dynamics, we present the mixture-of-agents hidden Markov model (MoA-HMM), which simultaneously learns inferred action values from a set of agents and the temporal dynamics of underlying “hidden” states that capture shifts in agent contributions over time. Applying this model to a multi-step, reward-guided task in rats reveals a progression of within-session strategies: a shift from initial MB exploration to MB exploitation, and finally to reduced engagement. The inferred states predict changes in both response time and OFC neural encoding during the task, suggesting that these states are capturing real shifts in dynamics.
A ventral hippocampal-lateral septum pathway regulates social novelty preference
Authors: Rashid Maha , Thomas Sarah , Isaac Jennifer , Karkare Sonia , Klein Hannah , Murugan Malavika 
Published: February 2024

ABSTRACTThe ability to distinguish strangers from familiar individuals is crucial for the survival of most mammalian species. In humans, an inability to recognize kin and familiar individuals and engage in appropriate behaviors is associated with several types of dementia, including Alzheimer’s disease. Mice preferentially spend more time investigating a novel individual relative to a familiar individual. Yet, how social novelty related information drives increased investigation of the novel animal remains poorly understood. Recent evidence has implicated the ventral hippocampus (vHPC) as a key node in encoding information about conspecific identity. Of particular interest are vHPC projections to the lateral septum (LS), a region that has been implicated in driving a wide range of motivated social behaviors. In this study using chemogenetics, optogenetics and monosynaptic rabies tracing, we identified a novel vHPC-LS-ventral tegmental area (VTA) pathway that is necessary for mice to preferentially investigate novel conspecifics. Using monosynaptic rabies tracing, we established that LS neurons make direct monosynaptic connections onto dopaminergic neurons in the VTA. Thus, we have identified a potential pathway via which conspecific identity could be transformed to drive motivated social behaviors.
Willingness to pay for a multi-level animal husbandry label: an analysis of German meat consumers
Authors: Kühl Sarah , Schütz Aurelia , Busch Gesa 
Published: February 2024

PurposeThe use of multi-level labels can enhance product visibility by enabling labeling of various items. Moreover, it can better accommodate the diversity on both the producer and consumer sides. However, studies on the willingness to pay (WTP) for premium levels of those animal welfare labels are scarce.Design/methodology/approachWe investigate consumers’ WTP for a four-level animal husbandry label introduced to the market by German retailers in 2019 by conducting an online survey with 1,223 German meat consumers using Van Westendorp’s price sensitivity meter (PSM).FindingsThere is a significant increase in WTP for level 3 of the husbandry label, but only a slight increase for level 4. One explanation is that consumers may have the mistaken belief that level 3 already includes outdoor access for animals. As a result of this expectation, consumers may not perceive much added value in level 4, which is reflected in their reluctance to pay a higher price. This is reinforced by the finding that once informed of the criteria, 18% of the participants reduced their WTP for level 3, whereas only 6% considered a discount for level 4. Furthermore, 40% were prepared to pay more for level 4 after being informed of the respective criteria than they had previously stated.Originality/valueTo the best of our knowledge, this study is the first to analyze and emphasize the importance of clear label communication, particularly for multi-level animal husbandry labels.
Actioning sustainability through tourism entrepreneurship: Women entrepreneurs as change agents navigating through the field of stakeholders
Authors: Karatas-Ozkan Mine , Tunalioglu Renan , Ibrahim Shahnaz , Ozeren Emir , Grinevich Vadim , Kimaro Joseph 
Published: February 2024

PurposeSustainability is viewed as an encompassing perspective, as endorsed by the international policy context, driven by the UN’s Sustainable Development Goals (SDGs). We aim to examine how women entrepreneurs transform capitals to pursue sustainability, and to generate policy insights for sustainability actions through tourism entrepreneurship.Design/methodology/approachApplying qualitative approach, we have generated empirical evidence drawing on 37 qualitative interviews carried out in Turkey, whereby boundaries between traditional patriarchal forces and progressive movements in gender relations are blurred.FindingsWe have generated insights into how women entrepreneurs develop their sustainability practice by transforming their available economic, cultural, social and symbolic capitals in interpreting the macro-field and by developing navigation strategies to pursue sustainability. This transformative process demonstrates how gender roles were performed and negotiated in serving for sustainability pillars.Research limitations/implicationsIn this paper, we demonstrate the nature and instrumentality of sustainable tourism entrepreneurship through a gender lens in addressing some of these SDG-driven challenges.Originality/valueWe advance the scholarly and policy debates by bringing gender issues to the forefront, discussing sustainable tourism initiatives from the viewpoint of entrepreneurs and various members of local community and stakeholder in a developing country context where women’s solidarity becomes crucial.
Can digital construction policy promote enterprise green innovation? A quasinatural experiment based on broadband China
Authors: Li Xing , Zhang Guiyang , Qi Yong 
Published: February 2024

PurposeThe purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.Design/methodology/approachBased on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.FindingsDigital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.Practical implicationsThe study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.Originality/valueFrom the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.
The ability of experience design characteristics to elicit epistemic value, hedonic value, and visitor satisfaction in a wine museum
Authors: Ponsignon Frederic , Jaud David Alexandre , Durrieu François , Lunardo Renaud 
Published: February 2024

Purpose
Applying the stimulus-organism-response (S-O-R) theory in a wine museum context, this paper aims to examine how and why experience design characteristics influence visitor satisfaction, particularly investigating the role of epistemic (learning) and hedonic (having fun) values as the underlying mechanisms of this relationship.

Design/methodology/approach
The authors collected field survey data from 652 visitors at a world-leading wine museum. The authors tested the research model on ten modules of the museum using path analysis and a bootstrap approach; the authors further conducted mediation analyses to test how the design of the museum’s modules influenced perceived value and satisfaction.

Findings
Content comprehensibility and surprise, as well as interactivity and ease of use, are core design characteristics that drive visitor satisfaction. More significantly, hedonic and epistemic values play a significant mediating role in influencing the relationship between design characteristics and visitor satisfaction.

Practical implications
The authors provide clear and actionable recommendations to help managers design museums that provide educational, entertaining and satisfying visitor experiences.

Originality/value
To the best of the authors’ knowledge, this is the first study to apply the S-O-R theory in a wine museum context. The significance of this study lies in demonstrating how and why experience design characteristics support the creation of an edutainment visitor experience that drives visitor satisfaction.
An integrated approach for modeling critical success factors for supply chain finance ecosystem
Authors: Joshi Prasad Vasant , Sarkar Bishal Dey , Choubey Vardhan Mahesh 
Published: February 2024

Purpose
Supply chain finance (SCF) has become a vital ingredient that fosters growth and provides flexibility to the global supply chain. Thus, it becomes essential to understand the factors that contribute to the success of the supply chain finance ecosystem (SCFE). This study aims to identify the critical success factors (CSFs) for the development of an efficient and effective SCFE. Based on their characteristics, the study intends to classify the factors into constructs and further establish a hierarchical relationship among the CSFs.

Design/methodology/approach
The study is based on empirical data collected from 221 respondents based on administered questionnaires. Exploratory factor analysis (EFA) is carried out on 16 selected factors (out of 21 proposed factors) based on the feedback of the experts and the factors were classified into four constructs. The total interpretive structural modeling (TISM) model was developed by identifying and finalizing CSFs of the SCFE. The model developed a hierarchical relationship between the various factors.

Findings
The study identified significant CSFs for the efficient and effective SCF ecosystem. Four constructs were developed by analyzing CSFs using the EFA. The finalized 16 CSFs modeled through the TISM and further hierarchical relationship established between the CSFs concludes that governmental policies and sectoral growth are the strongest driving forces and financial attractiveness is the weakest driving force. Based on the CSFs and the constructs identified, it was found that for the success of the SCF ecosystem, the existence of an economic ecosystem provides a facilitating framework for the overall development of the SCFE. Also, the trustworthiness among the partners fosters better relationships and results in financial feasibility and offers business opportunities for all the stakeholders.

Practical implications
This study will help the SCF partners across the globe understand the CSFs that ensure development of mutually beneficial SCF ecosystems and provide flexibility to the supply chain partners. The CSFs would provide insights to the policymakers and the financial intermediaries for providing a conducive environment for the development of a better SCF ecosystem. Also, the buyers and sellers would understand the CSFs that would develop better relationships among them and ultimately help in development of business across the globe.

Originality/value
The study identifies the CSFs for the SCF ecosystem. The study ascertains the significant factors and classifies them into clusters using EFA. Unlike the literature available, the paper develops the hierarchical relationship between the CSFs and develops a model for an efficient and effective SCF ecosystem.
Mediating effects of knowledge sharing and employee creativity on the relationship between visionary leadership and innovative work behavior
Authors: Alobeidli Shaima Yousif , Ahmad Syed Zamberi , Jabeen Fauzia 
Published: February 2024

Purpose
This study aims to explore how visionary leadership influences innovative work behavior (IWB) with the mediating effect of knowledge sharing (KS), employee creativity and moderating role of work centrality in the relationship between employee creativity and IWB in the organization.

Design/methodology/approach
A survey was administered to 304 respondents who were employees in different organizations in the United Arab Emirates. The data were analyzed through structural equation modeling using SmartPLS4.

Findings
The results show that visionary leadership is significantly associated with KS and employee creativity. Moreover, employee creativity has a notable impact on IWB, and the connection between employee creativity and IWB remains unaffected by work centrality.

Originality/value
This study offers a novel perspective by investigating the interrelationship between visionary leadership, KS, employee creativity, work centrality and IWB. A distinctive feature of this study lies in its focus on the mediation and moderation effects within this framework, with emphasis on a relatively new leadership style, visionary leadership. By exploring the mediating role of KS between visionary leadership and employee creativity, as well as the mediating role of employee creativity between KS and IWB, this study offers one of the first to highlight the underlying mechanisms that drive IWB. Furthermore, to the best of the authors’ knowledge, this study is one of the first to introduce work centrality as a moderator in the relationship between employee creativity and IWB.
Debiasing misinformation: how do people diagnose health recommendations from AI?
Authors: Shin Donghee , Jitkajornwanich Kulsawasd , Lim Joon Soo , Spyridou Anastasia 
Published: February 2024

PurposeThis study examined how people assess health information from AI and improve their diagnostic ability to identify health misinformation. The proposed model was designed to test a cognitive heuristic theory in misinformation discernment.Design/methodology/approachWe proposed the heuristic-systematic model to assess health misinformation processing in the algorithmic context. Using the Analysis of Moment Structure (AMOS) 26 software, we tested fairness/transparency/accountability (FAccT) as constructs that influence the heuristic evaluation and systematic discernment of misinformation by users. To test moderating and mediating effects, PROCESS Macro Model 4 was used.FindingsThe effect of AI-generated misinformation on people’s perceptions of the veracity of health information may differ according to whether they process misinformation heuristically or systematically. Heuristic processing is significantly associated with the diagnosticity of misinformation. There is a greater chance that misinformation will be correctly diagnosed and checked, if misinformation aligns with users’ heuristics or is validated by the diagnosticity they perceive.Research limitations/implicationsWhen exposed to misinformation through algorithmic recommendations, users’ perceived diagnosticity of misinformation can be predicted accurately from their understanding of normative values. This perceived diagnosticity would then positively influence the accuracy and credibility of the misinformation.Practical implicationsPerceived diagnosticity exerts a key role in fostering misinformation literacy, implying that improving people’s perceptions of misinformation and AI features is an efficient way to change their misinformation behavior.Social implicationsAlthough there is broad agreement on the need to control and combat health misinformation, the magnitude of this problem remains unknown. It is essential to understand both users’ cognitive processes when it comes to identifying health misinformation and the diffusion mechanism from which such misinformation is framed and subsequently spread.Originality/valueThe mechanisms through which users process and spread misinformation have remained open-ended questions. This study provides theoretical insights and relevant recommendations that can make users and firms/institutions alike more resilient in protecting themselves from the detrimental impact of misinformation.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0167