bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contributions of statistical learning to learning from reward feedback
Authors: Yazdanpanah Aryan , Wang Michael Chong , Trepka Ethan , Benz Marissa , Soltani Alireza 
Published: April 2024

AbstractNatural environments are abundant with patterns and regularities. These regularities can be captured through statistical learning, which strongly influences perception, memory, and other cognitive functions. By combining a sequence-prediction task with an orthogonal multidimensional reward learning task, we tested whether detecting environmental regularities can also enhance reward learning. We found that participants used regularities about features from the sequence-prediction task to bias their behavior in the learning task. Fitting choice behavior with computational models revealed that this effect was more consistent with attentional modulations of learning, rather than decision making. Specifically, the learning rates for the feature with regularity were higher, particularly when learning from forgone options during unrewarded trials, demonstrating that statistical learning can intensify confirmation bias in reward learning. Overall, our findings suggest that by enhancing learning about certain features, detecting regularities in the environment can reduce dimensionality and thus mitigate the curse of dimensionality in reward learning.Significance statementNatural environments are filled with detectable patterns and regularities, which, once identified through statistical learning, engage our attentional system and significantly influence multiple cognitive functions. This study explores whether these processes can enhance reward learning in high-dimensional environments with limited reward feedback. Using a novel experimental paradigm and computational methods, we discovered that detecting regularities in specific stimulus features increases learning rates for those features, especially for unrewarded, forgone options. Our findings suggest that identifying environmental regularities can improve feature-based learning and mitigate the curse of dimensionality.
xSiGra: Explainable model for single-cell spatial data elucidation
Authors: Budhkar Aishwarya , Tang Ziyang , Liu Xiang , Zhang Xuhong , Su Jing , Song Qianqian 
Published: April 2024

ABSTRACTRecent advancements in spatial imaging technologies have revolutionized the acquisition of high-resolution multi-channel images, gene expressions, and spatial locations at the single-cell level. Our study introduces xSiGra, an interpretable graph-based AI model, designed to elucidate interpretable features of identified spatial cell types, by harnessing multi-modal features from spatial imaging technologies. By constructing a spatial cellular graph with immunohistology images and gene expression as node attributes, xSiGra employs hybrid graph transformer models to delineate spatial cell types. Additionally, xSiGra integrates a novel variant of Grad-CAM component to uncover interpretable features, including pivotal genes and cells for various cell types, thereby facilitating deeper biological insights from spatial data. Through rigorous benchmarking against existing methods, xSiGra demonstrates superior performance across diverse spatial imaging datasets. Application of xSiGra on a lung tumor slice unveils the importance score of cells, illustrating that cellular activity is not solely determined by itself but also impacted by neighboring cells. Moreover, leveraging the identified interpretable genes, xSiGra reveals endothelial cell subset interacting with tumor cells, indicating its heterogeneous underlying mechanisms within the complex cellular communications.
Immune-profiling of T helper 1 (Th1), Th2 and Th17 signatures in murine splenocytes by targeting intracellular cytokines
Authors: Barman Soumik , Kelly Aisling , Dong Danica , Patel Arsh , Buonopane Michael J. , Gonzales Jake , Janoschek Ben , Draghi Andrew , Dowling David J. 
Published: April 2024

AbstractFunctional cytokines shape both innate and adaptive immune responses in the host after infection or immunization. Deep immunophenotyping of the key functional cytokine signatures associated with T cells in murine lymphoid tissue, especially in the spleen, is challenging. Using spectral flow cytometry, we developed a 17-parameter panel to profile major immune cell subsets along with T cells, memory phenotypes and functional cytokines in murine splenocytes in steady state as well as in stimulated conditions. This panel dissects the memory T cell compartment via CD62L and CD44 expression after mitogen stimulation. To profile T helper (Th) cells distribution after mitogen stimulation, established Th1 markers IFNγ, TNF and IL-2; Th2 markers IL-4/5 and the Th17 marker, IL-17, are included. This optimized multicolor spectral flow panel allows a detailed immune profiling of functional cytokines in the murine T cell compartment and might be useful for exploratory analysis of how these functional cytokines shape host immunity after infection or vaccination. Our panel could be easily modified, if researchers wish to tailor the panel to their specific needs.
In-situserial crystallography facilitates 96-well plate structural analysis at low symmetry
Authors: Foos Nicolas , Florial Jean-Baptiste , Eymery Mathias , Sinoir Jeremy , Felisaz Franck , Oscarsson Marcus , Beteva Antonia , Bowler Matthew W. , Nurizzo Didier , Papp Gergely , Soler-Lopez Montserrat , Nanao Max , Basu Shibom , McCarthy Andrew A. 
Published: April 2024

AbstractThe advent of serial crystallography has rejuvenated and popularised room temperature X-ray crystal structure determination. Structures determined at physiological temperature reveal protein flexibility and dynamics. In addition, challenging samples (e.g., large complexes, membrane proteins, and viruses) forming fragile crystals, are often difficult to harvest for cryo-crystallography. Moreover, a typical serial crystallography experiment requires a large number of microcrystals, mainly achievable through batch crystallisation. Many medically relevant samples are expressed in mammalian cell-lines, producing a meagre quantity of protein that is incompatible for batch crystallisation. This can limit the scope of serial crystallography approaches. Directin-situdata collection from a 96-well crystallisation plate enables not only the identification of the best diffracting crystallisation condition, but also the possibility for structure determination at ambient conditions. Here, we describe anin situserial crystallography (iSX) approach, facilitating direct measurement from crystallisation plates, mounted on a rapidly exchangeable universal plate holder deployed at a microfocus beamline, ID23-2, at the European Synchrotron Radiation Facility (ESRF). We applied our iSX approach on a challenging project, Autotaxin, a therapeutic target expressed in a stable human cell-line, to determine a structure in the lowest symmetryP1 space group at 3.0 Å resolution. Ourin situdata collection strategy provided a complete dataset for structure determination, while screening various crystallisation conditions. Our data analysis reveals that the iSX approach is highly efficient at a microfocus beamline, improving throughput and demonstrating how crystallisation plates can be routinely used as an alternative method of presenting samples for serial crystallography experiments at synchrotrons.SynopsisThe determination of a challenging structure in theP1 space group, the lowest symmetry possible, shows how ourin-situserial crystallography approach expands the application of crystallisation plates as a robust sample delivery method.
Network embeddedness and manufacturing SMEs’ green innovation performance: the moderating role of resource orchestration capability
Authors: Xie Xiongbiao , Sun Jingke , Zhou Min , Yan Liang , Chi Maomao 
Published: April 2024

PurposeWith technological innovation elements and the competitive market environment becoming increasingly complex, numerous firms utilize network embeddedness to achieve and sustain innovation. However, empirical research has not conclusively established which form of network embeddedness more effectively facilitates corporate innovation. Drawing on the heterogeneous network resources perspective, this study explores the impact of market network embeddedness, technology network embeddedness and their synergy on the green innovation performance of manufacturing small and medium-sized enterprises (SMEs). Furthermore, it investigates the moderating role of resource orchestration capability in these relationships.Design/methodology/approachThrough an online questionnaire survey of Chinese manufacturing SMEs, 293 sample data were collected, and the hierarchical regression analysis was conducted to test the hypothesis.FindingsThe results indicate that market and technology network embeddedness significantly enhance green innovation performance, with the former exerting a more significant impact. Furthermore, the synergy between market and technology network embeddedness positively influences green innovation performance. Additionally, resource orchestration capability strengthens the positive effects of both market and technology network embeddedness on green innovation performance, while the moderating effect of resource orchestration capability on the relationship between the synergy of the two and green innovation performance was insignificant.Research limitations/implicationsThe study faced many limitations, such as collecting primary data, which relied on a questionnaire only, using cross-sectional data and examining only manufacturing SMEs.Originality/valueBased on the heterogeneous network resources perspective and integrating social network theory and resource orchestration theory, this study explores the impact of network embeddedness on the green innovation performance of manufacturing SMEs, which sheds new light on the network embeddedness research framework and also enriches the antecedents of green innovation. In addition, this study provides implications on how manufacturing SMEs effectively utilize network embeddedness and resource orchestration capability to enhance green innovation performance.
A tensioning control method for stay cables with super large tonnage cable force
Authors: Wang Lifeng , Zhang Yi , Xiao Ziwang , Liu Long 
Published: April 2024

PurposeEffectively solving the large tonnage cable in the construction process due to the tensioning method of the inclined cable often appears in the overall cable force and the design value of the deviation is large, cable internal strand force is not uniform, the main girder stress exceeds the limit of the problem affecting the safety of the structure.Design/methodology/approachIn this study, the finite element method and theoretical analysis method are utilized to propose a construction control method of tensioning the whole bunch of diagonal cables in two parts according to the deformation coordination relationship between the main girder and the diagonal cables. This methodology was implemented during the actual construction of the PAIRA Bridge in Bangladesh.FindingsTests conducted on cable-stayed bridges using this controlled tensioning method demonstrate that the measured cable strength of a single strand exhibits an error of less than 0.15% compared to the design target cable strength. The deviation between the measured and designed cable forces ranges from 0.16% to 0.27%. Furthermore, no tensile stress is observed in both the top plate and bottom plate of the root section of the main girder, indicating a state of full-section compression throughout the entire construction process.Originality/valueThrough the comparison with the test value, it can be proved that the whole bunch of diagonal cable tensioned in two parts of the construction control method proposed in this paper can make the internal strand force more uniform, to meet the precision requirements of the site construction, to protect the safety of the bridge construction process. The method proposed in this paper is highly accurate, easy to calculate, and has a high value of popularization and application.
From gamification to personalization: sports media, Web 3.0 and the desire for the ultimate fan experience
Authors: Billings Andrew C. 
Published: April 2024

PurposeThe purpose of this essay is to explore the ramifications of Web 3.0 on sports media and the desire for the ultimate fan experience.Design/methodology/approachThe essay explains how Web 3.0 will influence (1) the social TV experience, (2) the drive for zero latency in sports streaming, (3) the desire for exclusive sports memorabilia and experiences, (4) artificial intelligence-driven content and (5) the potential decentralization of certain elements within the sports media ecosphere.FindingsThe core fan experience will still be recognizable, but AI, VR, blockchain and other elements will be infused within it.Originality/valueRamifications on sports media scholarships are offered.
Teaching data storytelling as data literacy
Authors: McDowell Kate , Turk Matthew J. 
Published: April 2024

Purpose
Data storytelling courses position students as agents in creating stories interpreted from data about a social problem or social justice issue. The purpose of this study is to explore two research questions: What themes characterized students’ iterative development of data story topics? Looking back at six years of iterative feedback, what categories of data literacy pedagogy did instructors engage for these themes?.

Design/methodology/approach
This project examines six years of data storytelling final projects using thematic analysis and three years of instructor feedback. Ten themes in final projects align with patterns in feedback. Reflections on pedagogical approaches to students’ topic development suggest extending data literacy pedagogy categories – formal, personal and folk (Pangrazio and Sefton-Green, 2020).

Findings
Data storytelling can develop students’ abilities to move from being consumers to creators of data and interpretations. The specific topic of personal data exposure or risk has presented some challenges for data literacy instruction (Bowler et al., 2017). What “personal” means in terms of data should be defined more broadly. Extending the data literacy pedagogy categories of formal, personal and folk (Pangrazio and Sefton-Green, 2020) could more effectively center social justice in data literacy instruction.

Practical implications
Implications for practice include positioning students as producers of data interpretation, such as role-playing data analysis or decision-making scenarios.

Social implications
Data storytelling has the potential to address current challenges in data literacy pedagogy and in teaching critical data literacy.

Originality/value
Course descriptions provide a template for future data literacy pedagogy involving data storytelling, and findings suggest implications for expanding definitions and applications of personal and folk data literacies.
Digital transformation as the fuel for sailing toward sustainable success: the roles of coordination mechanisms and social norms
Authors: Pang Qiwei , Cai Lanhui , Wang Xueqin , Fang Mingjie 
Published: April 2024

PurposeSailing toward sustainability is becoming the strategic focus of shipping firms. Drawing on organizational information processing theory (OIPT) and the theory of planned behavior (TPB), we investigated the impact of digital transformation (DT) on shipping firms’ sustainable management performance and the boundary conditions guiding this relationship.Design/methodology/approachThe authors examined the hypotheses by employing hierarchical linear modeling on two-wave time-lagged data from 189 shipping firm employees in China.FindingsThe results suggest that a shipping firm’s DT is positively associated with its sustainable management performance and that the relationship is strengthened by having better cross-functional and customer coordination mechanisms. Furthermore, our three-way interaction analyses show that while injunctive norms in a shipping firm’s networks can strengthen the contingency roles of both cross-functional and customer coordination mechanisms, descriptive norms alone significantly influence customer coordination.Originality/valueDrawing on organizational information processing and planned behavior theories, the present research provides new insights into leveraging DT for sailing toward sustainable success. Moreover, this study extends the current understandings of the boundary conditions of the relationship between DT and sustainable management performance by showing the two-way and three-way interaction effects of coordination mechanisms and subjective norms. The findings of the present research can be utilized as effective strategies for promoting sustainable management performance.
Framework for Islamic social entrepreneurship
Authors: Yasmeen Kausar 
Published: April 2024

Purpose
This study aims to develop a comprehensive framework for Islamic social entrepreneurship (ISE) by synthesizing Islamic principles and social entrepreneurship concepts, bridging the gap between theory and practice.

Design/methodology/approach
Using a systematic literature review, this study focuses on scholarly works published from 1992 to 2023, uses thematic analysis and engages with subject experts to craft a framework for ISE.

Findings
The study identified 39 sub-dimensions grouped into 13 core dimensions. These findings highlight the multifaceted impact on ISE, emphasizing its commitment to ethical, socially responsible practices and achieving lasting social impact through collaborative, innovative approaches guided by Islamic principles.

Research limitations/implications
Limitations include regional focus, lack of longitudinal data and absence of quantitative testing for the framework. Future research should expand scope, use quantitative analysis and explore gender dynamics, policy implications and standardized impact metrics to enhance the framework’s robustness.

Practical implications
The study’s comprehensive framework aids ISE practitioners in aligning their ventures with Islamic ethics and social impact. As interest in ISE grows, particularly in Muslim-majority contexts, this research facilitates the integration of Islamic values into social entrepreneurship, addressing pressing societal challenges.

Originality/value
This study contributes to the field of ISE by proposing a meticulously crafted framework that synthesizes Islamic principles and social entrepreneurship concepts. It stands out as a unique endeavor that bridges the gap between theory and practice in ISE, offering practical guidance while enriching the scholarly discourse on the subject.
Tracing knowledge diffusion flows in Islamic finance research: a main path analysis
Authors: Rejeb Abderahman , Rejeb Karim , Zailani Suhaiza 
Published: April 2024

Purpose
This study aims to address the noted gap in comprehensive overviews detailing the developmental trajectory of Islamic finance (IF) as an interdisciplinary academic field.

Design/methodology/approach
The study introduces a unique approach using the combined methodologies of co-word analysis and main path analysis (MPA) by examining a broad collection of IF research articles.

Findings
The investigation identifies dominant themes and foundational works that have influenced the IF discipline. The data reveals prominent areas such as Shariah governance, financial resilience, ethical dimensions and customer-centric frameworks. The MPA offers detailed insights, narrating a journey from the foundational principles of IF to its current challenges and opportunities. This journey covers harmonizing religious beliefs with contemporary financial models, changes in regulatory landscapes and the continuous effort to align with broader socioeconomic aspirations. Emerging areas of interest include using new technologies in IF, standardizing global Islamic banking and assessing its socioeconomic effects on broader populations.

Originality/value
This study represents a pioneering effort to map out and deepen the understanding of the IF field, highlighting its dynamic evolution and suggesting potential avenues for future academic exploration.
Brand transgressions in advertising related to diversity, equity and inclusion: implications for consumer–brand relationships
Authors: Mazzoli Valentina , Donvito Raffaele , Zarantonello Lia 
Published: April 2024

Purpose
Considering the ongoing discourse on diversity, equity and inclusion, brands aim to develop marketing campaigns that demonstrate respect for all individuals. Despite these intentions, many advertisements still provoke strong negative reactions from consumers due to brand transgressions in social media marketing campaigns that violate these values. The purpose of this paper is to analyze the repercussions that such social media marketing campaigns have on brands, categorizing these campaigns as brand transgressions in social media advertising.

Design/methodology/approach
This research uses a mixed-method design that includes semi-structured interviews (Study 1), a content analysis (Study 2) and an online experiment (Study 3).

Findings
This paper clarifies the elements that qualify as brand transgressions in advertising within the diversity, equity and inclusion discourse. The negative electronic word-of-mouth (e-WOM) associated with brand transgressions in advertising comprises negative emotions (e.g. anger, contempt, disgust and hate) and behavioural intentions to penalize the brand (e.g. negative word-of-mouth, brand avoidance and protest behaviours). The negative e-WOM stemming from these transgressions amplifies the adverse consequences for consumer–brand relationships by negatively influencing other consumers through sympathy towards the offended parties.

Research limitations/implications
This paper offers brand managers guidelines for preventing and managing negative consumer reactions towards brands based on their responses to marketing campaigns that contradict the principles of diversity, equity and inclusion.

Originality/value
This paper contributes to the literature on brand transgressions related to diversity, equity and inclusion values by exploring their impact on consumer–brand relationships and highlighting the pivotal role of sympathy in perpetuating negative consequences.
Laws and policy initiatives in regulating blockchain and digital currencies
Authors: Selvanesan Hirusheekesan , Rodrigo Navodana 
Published: April 2024

Purpose
Despite the unique features and potential applications in various industries, widespread blockchain adoption is hindered for several reasons. One of them is the lack of government regulations regarding blockchain and cryptocurrencies. However, a deliberate preliminary analysis of the policy initiatives by various jurisdictions proved otherwise, and a lack of sound academic literature on the policy initiatives on blockchain worldwide was evident. Addressing this gap, this study aims to summarize the policy initiatives of jurisdictions around the world, assessing if governments do not enact many regulations.

Design/methodology/approach
A systematic literature review was adopted in this study, in which the authors shortlisted a set of research papers and policy reports using several selection criteria and a screening process.

Findings
It was found that numerous policy initiatives have been enacted by governments worldwide, and blockchain applications are also being piloted or practiced successfully in several nations. It was also evident that governments are reluctant to accept cryptocurrencies as legal tender while embracing their underlying technology, blockchain.

Originality/value
To the best of the authors’ knowledge, this paper appears to be one of the first attempts to summarize the blockchain policy initiatives contributing to the body of knowledge on blockchain adoption.