bluuebunny/crossref_metadata_2025_split huggingface dataset:
Signalling and social learning in swarms of robots
Authors: Cazenille Leo , Toquebiau Maxime , Lobato-Dauzier Nicolas , Loi Alessia , Macabre Loona , Aubert-Kato Nathanaël , Genot Anthony J. , Bredeche Nicolas 
Published: January 2025

This paper investigates the role of communication in improving coordination within robot swarms, focusing on a paradigm where learning and execution occur simultaneously in a decentralized manner. We highlight the role communication can play in addressing the credit assignment problem (individual contribution to the overall performance), and how it can be influenced by it. We propose a taxonomy of existing and future works on communication, focusing on information selection and physical abstraction as principal axes for classification: from low-level lossless compression with raw signal extraction and processing to high-level lossy compression with structured communication models. The paper reviews current research from evolutionary robotics, multi-agent (deep) reinforcement learning, language models and biophysics models to outline the challenges and opportunities of communication in a collective of robots that continuously learn from one another through local message exchanges, illustrating a form of social learning.
This article is part of the theme issue ‘The road forward with swarm systems’.
Machine teaching in Swarm Metaverse under different levels of autonomy
Authors: Hussein Aya , Nguyen Hung , Abbass Hussein A. 
Published: January 2025

Shepherding algorithms enable scalable swarm control via the utilization of one or a few control agents. Despite their demonstrated effectiveness in controlling swarms of point-particle agents, shepherding algorithms have been barely evaluated in controlling realistic swarms of uncrewed vehicles (UxVs). Furthermore, existing shepherding algorithms face significant challenges in dealing with complex environments such as those featuring obstacles. We address these research gaps by studying the use of human demonstrations for teaching herding behaviours to machine learning controllers. In particular, we focus on how the level of autonomy used for collecting human demonstrations affects the effectiveness of the resulting swarm controller performance. Our experimental investigation shows that demonstrations collected under a high level of autonomy result in a significantly higher success rate than those collected under a low level of autonomy. Our findings highlight that providing high-level commands for the human demonstrator is more effective even when the demonstrations is used for training a low-level controller.
This article is part of the theme issue ‘The road forward with swarm systems’.
DISTINCT SALIVARY MICROBIOTA PROFILES,BDNFDNA METHYLATION ANDMIR-16-5P,MIR-29A-3P,MIR-191-5PALTERATIONS IN OBSESSIVE-COMPULSIVE DISORDER AND MAJOR DEPRESSIVE DISORDER
Authors: Girella Antonio , Vismara Matteo , O’Riordan Kenneth J. , Gunnigle Eoin , Mercante Francesca , Girone Nicolaja , Pucci Mariangela , Gatta Valentina , Konstantinidou Fani , Stuppia Liborio , Cryan John F. , Dell’Osso Bernardo , D’Addario Claudio 
Published: January 2025

AbstractObsessive-Compulsive Disorder (OCD) and Major Depressive Disorder (MDD) frequently co-occur, with depressive symptoms affecting OCD progression and vice versa. Identifying biomarkers is crucial for improving diagnosis and treatment. While the gut microbiota’s role in psychiatric disorders is well-studied, this research focuses on alterations in the oral microbiota and their relationship withBDNF(Brain-Derived Neurotrophic Factor) DNA methylation in OCD and MDD patients compared to healthy controls. Our findings reveal significant changes in microbiota composition with OCD patients showing increased Actinobacteriota and Firmicutes abundances (p<0.05; CTRL=n.24, OCD=n.21), while MDD patients exhibiting increased Actinobacteriota and Firmicutes, with reduced Bacteroidota and Proteobacteria abundances (p<0.05; CTRL=n.24, MDD=n.16). These alterations, including potential post-streptococcal autoimmunity, highlight the microbiota’s role in OCD and MDD pathophysiology. Selective changes inBDNFDNA methylation were observed in both disorders at CpG sites in exon I and IV, significantly reduced in OCD and MDD (p<0.05; CTRL=n.24, OCD=n.23, MDD=n.16) and, following miRNome analysis showed altered expression ofBDNF-targeting microRNAs, withmiR-16-5pandmiR-29a-3pupregulated in OCD (p<0.05; CTRL=n.24, OCD=n.17), andmiR-29a-3pupregulated andmiR-191-5pdownregulated in MDD (p<0.05; CTRL=n.24, MDD=n.16). These findings suggest disorder-specific microbiota and epigenetic profiles, positioning saliva as a non-invasive tool for biomarker identification. This research advances understanding of microbial-epigenetic interactions in OCD and MDD, potentially guiding early diagnosis and targeted therapies.
Uridine Metabolism as a Targetable Metabolic Achilles’ Heel for chemo-resistant B-ALL
Authors: Liu Yuxuan , Jiang Haowen , Liu Jingjing , Stuani Lucille , Merchant Milton , Jager Astraea , Koladiya Abhishek , Chang Ti-Cheng , Domizi Pablo , Sarno Jolanda , Keyes Tim , Jedoui Dorra , Wang Ao , Meng Jodie , Hartmann Felix , Bendall Sean C. , Huang Min , Lacayo Norman J. , Sakamoto Kathleen M. , Mullighan Charles G. , Loh Mignon , Yu Jiyang , Yang Jun , Ye Jiangbin , Davis Kara L. 
Published: January 2025

AbstractRelapse continues to limit survival for patients with B-cell acute lymphoblastic leukemia (B-ALL). Previous studies have independently implicated activation of B-cell developmental signaling pathways and increased glucose consumption with chemo-resistance and relapse risk. Here, we connect these observations, demonstrating that B-ALL cells with active signaling, defined by high expression of phosphorylated ribosomal protein S6 (“pS6+ cells”), are metabolically unique and glucose dependent. Isotope tracing and metabolic flux analysis confirm that pS6+ cells are highly glycolytic and notably sensitive to glucose deprivation, relying on glucose forde novonucleotide synthesis. Uridine, but not purine or pyrimidine, rescues pS6+ cells from glucose deprivation, highlighting uridine is essential for their survival. Active signaling in pS6+ cells drives uridine production through activating phosphorylation of carbamoyl phosphate synthetase (CAD), the enzyme catalyzing the initial steps of uridine synthesis. Inhibition of signaling abolishes glucose dependency and CAD phosphorylation in pS6+ cells. Primary pS6+ cells demonstrate high expression of uridine synthesis proteins, including dihydroorotate dehydrogenase (DHODH), the rate-limiting catalyst ofde novouridine synthesis. Gene expression demonstrates that increased expression ofDHODHis associated with relapse and inferior event-free survival after chemotherapy. Further, the majority of B-ALL genomic subtypes demonstrate activity of DHODH. Inhibiting DHODH using BAY2402232 effectively kills pS6+ cellsin vitro, with its IC50 correlated with the strength of pS6 signaling across 14 B-ALL cell lines and patient-derived xenografts (PDX).In vivoDHODH inhibition prolongs survival and decreases leukemia burden in pS6+ B-ALL cell line and PDX models. These findings link active signaling to uridine dependency in B-ALL cells and an associated risk of relapse. Targeting uridine synthesis through DHODH inhibition offers a promising therapeutic strategy for chemo-resistant B-ALL as a novel therapeutic approach for resistant disease.
Deep learning reveals functional archetypes in the adult human gut microbiome that underlie interindividual variability and confound disease signals
Authors: Meawad Mohamed , Singh Dalwinder , Deng Alice , Sonthalia Rohan , Cai Evelyn , Dumeaux Vanessa 
Published: January 2025

SummaryUnderstanding the functional diversity of the gut microbiome is essential for decoding its roles in health and disease. Using a deep-learning framework, we identified three functional archetypes defining healthy adult gut microbiomes, each characterized by specific metabolic potentials: sugar metabolism with branched-chain amino acid and cell wall synthesis (Archetype 1), fatty acid and TCA cycle metabolism (Archetype 2), and amino acid and nitrogen metabolism (Archetype 3). Archetype proximity is linked to stability, with Archetype 2 representing the most resilient state, likely due to its metabolic flexibility. Functional diversity emerged as a confounder in disease-associated microbial signatures. In inflammatory bowel disease, we observed archetype-specific shifts, including increased carbohydrate metabolism in Archetype 1-dominant samples and inflammatory pathways in Archetype 3-dominant samples, suggesting distinct opportunities for microbiome-targeted interventions. This framework addresses key challenges in microbiome research, including inter-individual variability and confounding, while providing robust insights into disease-associated functional shifts and microbial ecosystem dynamics.HighlightsAdult gut microbiomes are defined by three functional archetypesArchetypes reveal distinct metabolic potentials and inform on microbiome stabilityArchetype-specific functional profiles confound disease associations and reveal therapeutic targetsA deep-learning framework enables robust characterization of microbial functional ecosystems
The rise of publics in sociopolitical issues: integrating the social identity approach into the situational theory of problem solving
Authors: Shi Duli 
Published: January 2025

PurposeDiverse organizations, including corporations, increasingly advocate for sociopolitical issues to engage their publics. These issues often revolve around the interests, identities and dynamics of specific social groups, necessitating a deeper examination of publics’ social identities. Thus, this study aims to explore how individuals’ social identities, such as group memberships and ingroup identification, drive individuals to become active publics.Design/methodology/approachDrawing from the social identity approach and the situational theory of problem solving (STOPS), an online survey of 965 participants from two racial groups was conducted to examine the impacts of social group memberships and ingroup identification on problem recognition, involvement recognition, constraint recognition, referent criterion, situational motivation and attitude toward race relations and the Black Lives Matter movement.FindingsThe results of multigroup confirmatory factor analysis (CFA) and structural equation modeling analyses revealed that social group membership and ingroup identification are crucial in shaping publics’ situational perceptions of sociopolitical issues. The effects of ingroup identification on situational, motivational and attitudinal perceptions significantly differed between African American and White American groups, highlighting the importance of considering group dynamics.Originality/valueThis study underscores the value of integrating the social identity approach into public relations and corporate communication research to elucidate diverse publics’ socio-psychological processes in response to sociopolitical issues. The findings equip practitioners with deeper insights into social group dynamics, allowing them to adapt their communication efforts to better engage and mobilize different publics, ultimately enhancing the impact of their advocacy efforts.
A case study of Chinese master’s students’ perceptions of supervisors’ use of evaluative language in feedback
Authors: Liu Yan 
Published: January 2025

PurposeThis study intended to bridge the gap by investigating Chinese master’s students’ perceptions of their supervisors’ use of evaluative language in feedback, from both cognitive and affective perspectives, at a Sino-foreign university in mainland China.Design/methodology/approachEmploying a qualitative research design, 12 participants from the Faculty of Humanities and Social Sciences and the Faculty of Economics and Finance were included. Data were collected through individual semi-structured interviews and analyzed using thematic analysis.FindingsThe findings show that students perceive directive and actionable evaluative language, as well as evaluative language aligned with assessment criteria as effective, facilitating improvement and self-regulated learning. However, the use of evaluative language can evoke mixed emotions, with linguistic devices and inadequate follow-up explanations reinforcing negative feelings. Additionally, power imbalances between supervisors and students influence feedback perceptions, hindering students’ active participation in feedback processes.Originality/valueThis study addresses a gap in the literature on master’s students’ perceptions of evaluative language in supervisory feedback and provides practical recommendations for both thesis supervisors and master’s students to facilitate the acceptance and application of feedback.
Dealing with complexity – the use of problem structuring methods in management science
Authors: Kogetsidis Harry 
Published: January 2025

Purpose
This paper aims to examine the current level of application of problem structuring methods, a distinct domain within the wider analytical decision-support discipline of operational research (OR), in dealing with complex problem situations in organisations and societies.

Design/methodology/approach
The paper has reviewed the relevant literature on problem structuring methods by analysing articles on practical applications that have been published in discipline-based journals over the past 15 years. The aim was to identify the extent to which OR practitioners use particular problem structuring methods and tools and the way that this is done in OR interventions.

Findings
The results show that the main problem structuring methods and tools have maintained their popularity and are frequently used as analytical approaches within a facilitated modelling environment. At the same time, new methods have been proposed, and these are typically integrated within multi-methodological frameworks that often include the use of more traditional OR techniques. On the other hand, even though problem structuring methods are now quite well-established in Europe and in other parts of the world, they do not seem to enjoy the same level of acceptance or recognition in the USA.

Originality/value
The paper provides an up-to-date account of the application of problem structuring methods as a means of handling increased problem complexity and highlights the contribution that this important field of work can make in dealing with the complex problems and challenges the world faces in the current turbulent environment.
Continuance intention to use mobile fitness applications: the role of switching costs, guilt and neutralization techniques
Authors: Al-Jabali Rasha Najib , Ahmad Norasnita , Chiu Weisheng 
Published: January 2025

PurposeThe study investigates the factors influencing the continuance intention to use Mobile Fitness Applications (MFAs), focusing on the roles of switching costs, guilt, and neutralization techniques in addressing temporary discontinuance.Design/methodology/approachA total of 212 valid responses were collected via an online survey in Malaysia. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to understand the relationships between the constructs.FindingsThe study confirms the significant impact of the Expectation Confirmation Model (ECM) constructs on the continuance intention to use MFAs. It highlights how users employ neutralization techniques to mitigate guilt from temporary discontinuance. Additionally, the study reveals that switching costs moderate the relationship between cognitive satisfaction and continuance intention, as well as between guilt and continuance intention. However, the direct effect of switching costs on continuance intention is negligible.Originality/valueThis research extends continuance intention literature by integrating switching costs, guilt, and neutralization techniques into the ECM framework, providing novel insights into user behavior regarding MFA discontinuance.
Integrating social media platforms into expatriate training and development programs: an experiential learning perspective
Authors: Bilderback Stephanie , Farrell Matthew 
Published: January 2025

PurposeSocial media platforms, although often vilified in popular media, carry several potential benefits for expatriate training. This study set out to discuss in some depth whether social media platforms can be employed to enhance expatriate training outcomes, such as performance, adjustment and cultural integration.Design/methodology/approachDrawing on insights from experiential learning theory, this study develops propositions and a conceptual model relating to the incorporation of social media platforms into expatriate training.FindingsJoining insights from the expatriate training literature with experiential learning theory, this study proposes several potential avenues for social media platforms as training tools. While social media use is not likely to be efficacious in itself, this study argues that social media platforms can be leveraged to enhance expatriate language training, acculturation and professional networking. These mediating relationships enhance social media’s effects on expatriate performance and adjustment.Originality/valueThis study paves the way for future empirical works regarding the implementation of novel tools in the pursuit of expatriate excellence. This paper develops a comprehensive model illustrating how social media platforms can positively impact expatriate training outcomes.
A multi-faceted approach for leveraging AI and intellectual capital for enhanced supply chain decision-making
Authors: Alkalha Ziad , Jum'a Luay , Zighan Saad , Abualqumboz Moheeb 
Published: January 2025

PurposeThis study aims to investigate the mediating role of different types of intellectual capital (human, structural and relational) in the relationship between artificial intelligence-driven supply chain analytics capability (AI-SCAC) and various supply chain decision-making processes, specifically rational, bounded and tacit decision-making.Design/methodology/approachThe study used a quantitative survey strategy to collect the data. A total of 320 valid questionnaires were received from manufacturing companies. The data were analysed using structural equation modeling with partial least squares (PLS-SEM) approach through SmartPLS software.FindingsThe results indicate that human and structural capital significantly mediate the relationship between AI-SCAC and rational and bounded decision-making processes. However, structural capital does not mediate the relationship between AI-SCAC and the tacit decision-making process. Moreover, relational capital does not show a significant mediating effect on all of the decision-making processes. Notably, structural capital has the strongest impact on rational and bounded decision-making, while human capital plays a critical role across all three decision-making processes, including tacit decision-making.Originality/valueThis study contributes to the literature by providing a nuanced understanding of the differentiated impact of intellectual capital components on various decision-making processes within the context of AI-SCAC. While previous studies have broadly acknowledged the role of intellectual capital in decision-making, this research provides more understanding of how specific types of intellectual capital interact with AI to influence distinct decision-making processes. Notably, the differential impact of structural capital on rational and bounded decision-making versus tacit decision-making highlights the need for organisations to adopt a more tailored approach in leveraging their intellectual capital.
Designing an artificial intelligence-enabled large language model for financial decisions
Authors: Saxena Anshul , Rishi Bikramjit 
Published: January 2025

PurposeArtificial intelligence (AI) has profoundly reshaped financial decision-making, introducing a paradigm shift in how institutions and individuals navigate the complex finance landscape. The study evaluates the significant impact of integrating advanced AI and large language models (LLMs) in financial decision analytics.Design/methodology/approachThe study offers FinSageNet, a novel framework designed and tested to harness the potential of LLMs in financial decisions. The framework excels in handling and analyzing large volumes of numerical and textual data through advanced data mining techniques.FindingsFinSageNet demonstrates exceptional text summarization capabilities, outperforming models like FLAN and GPT-3.5 in Rouge score metrics. The proposed model has shown more accuracy than generic models.Originality/valueThe study emphasizes the significance of consistently updating models and adopting a comprehensive approach to integrating AI into financial decisions. This study improves our understanding of how artificial intelligence transforms financial analytics and decision-making processes.
CAV1 Exacerbates Renal Tubular Epithelial Cell Senescence by Suppressing CaMKK2/AMPK‐Mediated Autophagy
Authors: Sun Liya , Xu Lujun , Duan Tongyue , Xi Yiyun , Deng Zebin , Luo Shilu , Liu Chongbin , Yang Chen , Liu Huafeng , Sun Lin 
Published: January 2025

ABSTRACTRenal proximal tubular epithelial cell (PTEC) senescence and defective autophagy contribute to kidney aging, but the mechanisms remain unclear. Caveolin‐1 (CAV1), a crucial component of cell membrane caveolae, regulates autophagy and is associated with cellular senescence. However, its specific role in kidney aging is poorly understood. In this study, we generated Cav1 gene knockout mice and induced kidney aging using D‐galactose (D‐gal). The results showed that CAV1 expression increased in the renal cortex of the aging mice, which was accompanied by exacerbated renal interstitial fibrosis, elevated levels of senescence‐associated proteins γH2AX and p16INK4a, and increased β‐galactosidase activity. Moreover, autophagy and AMPK phosphorylation in PTECs were reduced. These phenotypes were partially reversed in D‐gal‐induced Cav1 knockout mice. Similar results were observed in D‐gal‐induced human proximal tubular epithelial (HK‐2) cells, but these effects were blocked when AMPK activation was inhibited. Additionally, in CaMKK2 knockdown HK‐2 cells, siCAV1 failed to promote AMPK phosphorylation, whereas this effect persisted when STK11 was knocked down. Besides, we examined the phosphorylation of CaMKK2 and found that siCAV1 increased its activity. Given that CaMKK2 activity is affected by intracellular Ca2+, we examined Ca2+ levels in HK‐2 cells and found that D‐gal treatment reduced intracellular Ca2+ concentration, but CAV1 knockdown did not alter these levels. Through GST pull‐down assays, we demonstrated a direct interaction between CAV1 and CaMKK2. In conclusion, these findings suggest that CAV1 exacerbates renal tubular epithelial cell senescence by directly interacting with CaMKK2, suppressing its activity and AMPK‐mediated autophagy via a Ca2+‐independent pathway.