bluuebunny/crossref_metadata_2025_split huggingface dataset:
Increased RAMP3 expression enhances GLP-1 mediated Glucose Stimulated Insulin Secretion in a Manner Dependent on Ca2+ Mobilisation
Authors: Pearce Abigail , Sisk Claudia , Harris Matthew , Yeung Ho Yan , Carvalho Sabrina , Ladds Graham 
Published: January 2025

AbstractThe targeting of the Glucagon-like peptide-1 receptor (GLP-1R) for diabetes and obesity is not a novel strategy, with recent therapeutics showing efficacy in weight loss and glycaemic control. However, they are also associated with side effects, including gastrointestinal disruptions and pancreatitis. Developing agonists with different signalling profiles, or that exert some tissue selectivity can circumvent these on-target, unwanted effects. Receptor activity-modifying proteins (RAMPs) offer the potential to do both, through modulation of agonist binding and signalling, as well as surface expression. The GLP-1R was found to interact with RAMP3, with the heterodimer able to bind agonist at the cell surface. RAMP3 expression biased the receptor towards Ca2+ mobilisation, away from the canonical cAMP-driven signalling. When examining G protein coupling, the interaction with RAMP3 reduced activation of the cognate Gαs, but increased secondary couplings to Gαq and Gαi. These increased couplings led to an elevation in glucose-stimulated insulin secretion when cells overexpressing RAMP3 were stimulated with GLP-1. The effects of this interaction can then inform selection of models and peptide design when targeting this receptor for therapeutic intervention.Significance StatementG Protein-Coupled Receptors, such as the Glucagon-Like Peptide-1 (GLP-1) Receptor are common drug targets, although not without side effects due to on-target, unwanted signalling outputs. This study identifies an interacting protein, which alters its signalling to promote insulin secretion. This may improve the therapeutic potential of GLP-1 mimetics, by enhancing effectual signalling over that associated with unwanted effects, by directly targeting this receptor complex.
Morphology and connectivity of retinal horizontal cells in two avian species
Authors: Günther Anja , Balaji Vaishnavi , Leberecht Bo , Forst Julia J. , Rotov Alexander Y. , Woldt Tobias , Abdulazhanova Dinora , Mouritsen Henrik , Dedek Karin 
Published: January 2025

AbstractIn the outer vertebrate retina, the visual signal is separated into intensity and wavelength information. In birds, seven types of photoreceptors (one rod, four single cones, and two members of the double cone) mediate signals to >20 types of second-order neurons, the bipolar cells and horizontal cells. Horizontal cells contribute to color and contrast processing by providing feedback signals to photoreceptors and feedforward signals to bipolar cells. In fish, reptiles, and amphibians they either encode intensity or show color-opponent responses. Yet, for the bird retina, the number of horizontal cell types is not fully resolved and even more importantly, the synapses between photoreceptors and horizontal cells have never been quantified for any bird species. With a combination of light microscopy and serial EM reconstructions, we found four different types of horizontal cells in two distantly related species, the domestic chicken and the European robin. In agreement with some earlier studies, we confirmed two highly abundant cell types (H1, H2) and two rare cell types (H3, H4), of which H1 is an axon-bearing cell, whereas H2-H4 are axonless. Horizontal cell contacts to photoreceptors were type-specific and similar to the turtle retina, which confirms the high degree of evolutionary conservation in the vertebrate outer retina. Our data further suggests that H1 and potentially H2 cells may encode intensity, whereas H3 and H4 may represent color opponent horizontal cells which may contribute to the birds’ superb color and/or high acuity vision.
Investigation of charged Higgs bosons production from vectorlike
T
quark decays at
eγ
collider
Authors: Benbrik Rachid , Berrouj Mbark , Boukidi Mohammed 
Published: January 2025

Within the extended framework of the two-Higgs-doublet model type II (2HDM-II), enhanced by a vectorlike quark (VLQ) doublet TB, we present a comprehensive analysis of the process e−γ→bνeT¯ at future high-energy eγ colliders, focusing on the decays T¯→H−b¯ and H−→t¯b. Using current theoretical and experimental constraints, we calculate production cross sections for both unpolarized and polarized beams at center-of-mass energies of s=2 and 3 TeV, demonstrating that polarized beams significantly enhance detection prospects by increasing production rates. By analyzing kinematic distributions, we establish optimized selection criteria to effectively separate signal events from background. At s=2  TeV with an integrated luminosity of 1500  fb−1, we find exclusion regions within sRd∈[0.085,0.16] for mT∈[1000,1260]  GeV and a discovery potential within sRd∈[0.14,0.17] for mT∈[1000,1100]  GeV, with these regions expanding to sRd∈[0.05,0.15] for mT∈[1000,1340]  GeV and sRd∈[0.11,0.17] for mT∈[1000,1160]  GeV at 3000  fb−1. At s=3  TeV and 1500  fb−1, we identify exclusion regions of sRd∈[0.055,0.135] for mT∈[1000,1640]  GeV and discovery regions of sRd∈[0.09,0.15] for mT∈[1000,1400]  GeV, which further expand to sRd∈[0.028,0.12] for mT∈[1000,1970]  GeV and sRd∈[0.04,0.122] for mT∈[1000,1760]  GeV at 3000  fb−1. Our findings emphasize the increased detection potential at higher center-of-mass energies, particularly at 3 TeV compared to 2 TeV, with notable improvements when polarized beams are utilized. We also account for the effects of initial state radiation, beamstrahlung, and systematic uncertainties, which influence both exclusion and discovery prospects.

Published by the American Physical Society
2025
Navigating the complexities of export order processing: challenges for Indian agri exporters
Authors: Rathee Ankit , Chhikara Kuldip Singh , Solanki Poonam 
Published: January 2025

PurposeThe study aims to identify the major challenges encountered by Indian exporters of agricultural products in the course of fulfilling export orders.Design/methodology/approachTo achieve the objectives, a questionnaire and interview method are used to gather data from a randomly selected sample of 300 agri-exporters in Haryana, India. The study categorizes the various perceived constraints into problem variables or factors using factor analysis. Then, the aggregated scales are regressed against predictors, to validate the proposed hypotheses.FindingsThe results demonstrate that the broad challenges faced by agri-exporters of India are related to logistics, technological and quality assurance, financial, supply-chain bottlenecks and customs-related documentation. Furthermore, the findings confirm that the predictors have a significant effect on the identified constraints. Notably, the export experience emerged as the most influential variable contributing to overcome the challenges faced by Indian agri-exporters.Research limitations/implicationsThe study’s exclusive focus on the exporter’s perspective limits a comprehensive understanding. Incorporating data from logistics providers, customs agents and financial institutions could offer a more holistic view of the challenges.Originality/valueThe study offers new insights and contributes to the existing knowledge base by presenting a comprehensive analysis of the challenges faced by exporters and modeling them.
The impact of mandatory disclosure on rewarding online reviews based on S-O-R theory
Authors: Liang Wen-Yau , Huang Chun-Che , Tseng Tzu-Liang (Bill) , Chen Jia-Chi 
Published: January 2025

PurposeUp to 89.1% of consumers have changed their decisions due to the influence of online reviews. In order to increase the number of reviews, some websites and platforms have adopted feedback incentives. Research shows that offering review incentives does increase the likelihood of consumers writing reviews. However, the review reward system also brings some problems. Consumers may doubt the authenticity of product reviews that are incentivized by rewards, believing that reviewers are only writing reviews for personal gain, which has a negative impact on the credibility of the reviews. To address this issue, this study proposes a mechanism for mandatory disclosure of review incentives as research demonstrates that transparent online communication of a platform’s efforts can substantially boost review helpfulness restore trust in online platforms, and even improve purchase intentions.Design/methodology/approachThis study applies the S-O-R (Stimulus-Organism-Response) theoretical framework and utilizes a simulated situational questionnaire to investigate the impact of online reviews on consumers' emotional and behavioral responses within the context of a mandatory disclosure review reward system. The model identifies four key constructs: review quality as the Stimulus, review credibility and review usefulness as the Organism, and purchase intention as the Response. Data were collected through the questionnaire and subsequently analyzed to understand these relationships.FindingsThe results show that review quality has a significant positive impact on review credibility, review usefulness and purchase intention. Similarly, review credibility and review usefulness also have significant positive impacts on purchase intention.Originality/valueTo mitigate the potential negative effects of review reward systems, this study introduces a mandatory disclosure of the review reward and examines its impact using a simulated situational questionnaire. The study hypothesizes that mandatory disclosure of rewarded reviews enables consumers to identify these reviews, which may, in turn, enhance their purchase intentions.
The impact of new generative AI chatbots on the switch point (SP): toward an artificial emotional awareness (AEA)
Authors: Saviano Marialuisa , Thomas Asha , Del Prete Marzia , Verderese Daniele , Sasso Pasquale 
Published: January 2025

PurposeThis paper aims to contribute to the discussion on integrating humans and technology in customer service within the framework of Society 5.0, which emphasizes the growing role of artificial intelligence (AI). It examines how effectively new generative AI-based chatbots can handle customer emotions and explores their impact on determining the point at which a customer–machine interaction should be transferred to a human agent to prevent customer disengagement, referred to as the Switch Point (SP).Design/methodology/approachTo evaluate the capabilities of new generative AI-based chatbots in managing emotions, ChatGPT-3.5, Gemini and Copilot are tested using the Trait Emotional Intelligence Questionnaire Short-Form (TEIQue-SF). A reference framework is developed to illustrate the shift in the Switch Point (SP).FindingsUsing the four-intelligence framework (mechanical, analytical, intuitive and empathetic), this study demonstrates that, despite advancements in AI’s ability to address emotions in customer service, even the most advanced chatbots—such as ChatGPT, Gemini and Copilot—still fall short of replicating the empathetic capabilities of human intelligence (HI). The concept of artificial emotional awareness (AEA) is introduced to characterize the intuitive intelligence of new generative AI chatbots in understanding customer emotions and triggering the SP. A complementary rather than replacement perspective of HI and AI is proposed, highlighting the impact of generative AI on the SP.Research limitations/implicationsThis study is exploratory in nature and requires further theoretical development and empirical validation.Practical implicationsThe study has only an exploratory character with respect to the possible real impact of the introduction of the new generative AI-based chatbots on collaborative approaches to the integration of humans and technology in Society 5.0.Originality/valueCustomer Relationship Management managers can use the proposed framework as a guide to adopt a dynamic approach to HI–AI collaboration in AI-driven customer service.
Developing lesson study collaboration in Scotland
Authors: Leakey Sarah , Mynott John Paul 
Published: January 2025

PurposeTranslating lesson study (LS) into a new country comes with implementation challenges. Scotland is no exception to this. We explore how researchers have adapted and developed parts of the LS cycle to enhance collaborative advantage.Design/methodology/approachWe present two LS cases: one exploring English lessons with 7–8-year-olds and the second exploring fractions with 8–9-year-olds. Both cases were mapped against an LS conceptual model. The cases were analysed using collaborative advantage theory to identify elements that supported collaboration or caused collaborative inertia.FindingsCollaborations are impacted by input factors, such as planning and feedback tools, which influence the development of processes and emergent states. Shared cognition emerged as a dominant theme influencing collaborative advantage in LS and was related to the development of shared mental models, joint endeavour and psychological safety. It is hypothesised that additional adaptations, such as a mock lesson, may minimise collaborative inertia by revealing hidden differences in team members' interpretation of meaning.Originality/valueA novel approach to combining collaborative advantage theory with advances in the conceptualisation of LS offers new insights into the features and complexities of collaboration within LS in Scotland.
Social engagements of recently migrated adults and elderly living in urban areas: an analysis of longitudinal aging study (LASI) in India
Authors: Thomas M. Benson , Jose Joemet , Jaleel Abdul 
Published: January 2025

Purpose
This paper aims to examine the social engagement of individuals who have recently migrated to cities in India. The objective is to assess the capacity of these migrants to foster social connections in their newfound urban settings, aiming to advocate for urban governance reforms that facilitate inclusive planning for the holistic well-being of all residents, including migrants.

Design/methodology/approach
Using quantitative data from the first phase of the longitudinal aging study in India (LASI-2020), this study introduces the term “social engagement” to characterize the interactions of migrants. Incorporating 18 relevant variables, the research uses the Chi-square test to explore correlations between these factors and the social engagement of recent migrants in cities. In addition, multivariate logistic regression is used to identify traits that empower migrants to achieve significant levels of social engagement.

Findings
This study reveals that a substantial proportion of recent migrants (over 70%) experience social isolation in their new urban environments. Factors such as increasing age, female gender and lower educational attainment significantly contribute to this isolation. Moreover, wealth, religious affiliations and previous urban experiences play pivotal roles in shaping social engagement among urban migrants. Interestingly, age itself does not directly impact migrants’ social engagement; instead, the intersection of factors such as education, wealth and prior urban experiences assumes a critical role.

Practical implications
Recognizing that social engagement is an integral part of everyday life in contemporary urban societies, it is imperative for urban governance in India to establish structures and systems that facilitate social engagement for the elderly, including migrants. Urban administrators and planners must integrate these dimensions into planning and administrative processes to foster inclusivity for all elderly populations, including migrants, within urban areas.

Originality/value
Addressing a noticeable gap in existing literature, this paper initiates a discourse on the social engagement of recent migrants residing in Indian cities, with specific focus on the intricate interplay of aging, gender, migration status, wealth and education.
Exploring the moderating role of university environmental performance in shaping students’ environmental awareness and behaviors
Authors: Eroğlu Erdal , Aydemir Dev Mine , Dalgın Kübra 
Published: January 2025

Purpose
The purpose of this study is to examine the moderating role of university environmental performance in the relationship between students’ environmental awareness and behavior, with a particular focus on the imperative for universities to adopt comprehensive sustainability frameworks.

Design/methodology/approach
Using a quantitative research methodology, the study administered a survey to 775 undergraduate students from diverse academic departments at a public university. The survey aimed to assess students’ environmental awareness, behaviors and perceptions of university environmental performance. The Mann–Whitney U test, Wilcoxon signed-rank test and Friedman test were applied, and a simple moderation analysis was performed.

Findings
The results indicate that environmental awareness significantly influences students’ environmental behaviors. Crucially, the perception of environmental performance moderates the relationship between environmental awareness and behavior. The relationship between environmental awareness and environmental behaviors becomes stronger when environmental performance increases.

Research limitations/implications
While the scope of this research is limited to a single institution, potentially limiting the generalizability of the findings, future studies could extend this investigation to multiple universities to confirm and expand upon these results.

Originality/value
This research contributes to the existing body of literature by emphasizing the critical role universities play in cultivating students’ environmental awareness and behaviors, and it underscores the importance of institutional environmental performance in promoting sustainable practices within academic environments. Although previous research has explored environmental awareness and behavior, this study offers a unique contribution as it establishes a connection between the awareness-behavior gap and environmental performance.
Pathways from supervisor incivility to workplace deviance: the mediating role of emotional exhaustion and supervisor-targeted aggression
Authors: Madan Poornima , Srivastava Shalini , Gupta Bindu 
Published: January 2025

PurposeDrawing on the frustration-aggression-displacement (FAD) hypothesis, this study investigates the link between supervisor incivility and workplace deviant behavior through the mediating pathways of supervisor-targeted aggression and emotional exhaustion. Additionally, it examines the moderating role of psychopathy in the relationships between supervisor incivility and supervisor-targeted aggression and supervisor incivility and emotional exhaustion.Design/methodology/approachData were collected from hotel employees through a three-wave study, and variance-based partial least square structural equation modeling (VB-SEM) was employed to analyze the hypothesized associations.FindingsResults indicate that supervisor-targeted aggression and emotional exhaustion mediate the relationships between supervisor incivility and workplace deviant behavior. However, psychopathy did not show any significant moderating effect.Practical implicationsThe findings provide valuable insights for managers to develop effective strategies for reducing organizational incivility and deviant behaviors.Originality/valueThis study identifies two mediating mechanisms linking supervisor incivility to workplace deviant behavior and adds to the limited understanding of how supervisor incivility can lead to negative employee behaviors.
The assembly of plant communities in relation to overlap in mycorrhizal and pathogenic root fungi
Authors: Schamp Brandon S. , Jones Riley , Fahey Catherine , Brazeau Hannah , Koyama Akihiro , Maherali Hafiz , Antunes Pedro M. 
Published: January 2025

Abstract

Plant species commonly associate with symbiotic arbuscular mycorrhizal (AM) and pathogenic root fungi, with many plants overlapping in their fungal community compositions. Overlap in AM fungi could promote coexistence by favouring competitively inferior or rare plants, or through the establishment of common mycorrhizal networks. Coexistence could also, however, be impeded if shared AM fungi disproportionately benefit competitively superior or abundant plant species. Overlap in pathogenic root fungi among closely growing plant species should increase the likelihood that an uninfected plant becomes infected, leading to reduced coexistence.

Using vegetation plot data from an old‐field plant community along with high‐throughput sequence data on AM and pathogenic root fungal associations, we conducted three specific evaluations. First, we used null models to determine whether estimated overlap in AM or pathogenic root fungi among coexisting plant species was higher or lower than expected by chance. Second, we assessed whether estimated overlap in AM and pathogenic fungi differed between positively co‐occurring and negatively co‐occurring plant species. Third, we examined whether variation in plot‐level plant species richness was explained by the degree of estimated overlap in AM and pathogenic root fungi among those species.

We found no evidence that estimated overlap in AM or pathogenic root fungal communities was higher or lower than expected under our null model. Additionally, positively and negatively co‐occurring pairs of plant species did not differ in their estimated overlap in either group of fungi. However, plant species richness was significantly higher in plots where plants were estimated to overlap more in AM fungi and significantly lower in plots where plant species were estimated to overlap more in pathogenic root fungi. Our results suggest that overlap in root fungal associations among plant species appears to be predictive of plant species richness, and therefore the assembly of plant communities.

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Human–wildlife coexistence needs more evidence‐based interventions to reduce the losses of crops, livestock and fishery catches
Authors: Huang Cheng , Chen Yiqing , Li Li‐Li , Campos‐Arceiz Ahimsa , Wang Yi , Onditi Kenneth O. , Li Zhongqiu , Feng Limin , Liu Yang , Lee Tien Ming 
Published: January 2025

Abstract

Evidence‐based interventions designed to reduce wildlife‐caused losses are essential for human–wildlife coexistence. The lack of systematic summarization of research effort and evidence makes it challenging for researchers, managers and policymakers to prioritize interventions for evaluation and implementation.

Here, we compiled experimental case studies of nonlethal technical interventions designed to reduce the losses of crops, livestock and fishery catches caused by terrestrial carnivores, elephants, farmland birds and marine fauna worldwide. Then, we summarized the research effort and the performance of interventions by their sensory stimuli and target animals.

We found that: (i) 54 of 88 interventions included in this study had statistically effective evidence, where only 39% (21/54) were evaluated with more than three experiments; (ii) physical‐, sound‐, chemical‐ and light (or visual) ‐based interventions were the most in numbers and their performance varied greatly; (iii) farmland birds, seabirds and cetaceans were the most studied animal groups while there are only a few experiments for elephants; and (iv) the interventions for marine fauna generally had no impact on the target catch of fisheries.

Syntheses and applications: Our results indicated that collective effort is needed to further evaluate interventions using various sensory stimuli and launch incentive programs to motivate the implementation of interventions, particularly related to marine fauna conservation. Our synthesis could be helpful for stakeholders to tackle the negative human‐wildlife interactions outlined as Target 4 of the Kunming–Montreal Global Biodiversity Framework.