Search Results (582)

Recently, the live commerce market has experienced rapid growth, accompanied by increasingly intense competition. To improve business performance in this dynamic environment, it is essential to foster competent streamers and create effective commerce environments. Therefore, this study developed a research model based on the stimulus–organism–response (S-O-R) framework, focusing on streamer competencies and the commerce environment, to explore ways to effectively enhance live commerce business performance. Data for this study were collected through a questionnaire and analyzed using statistical techniques with 390 respondents. The results revealed that streamers’ competencies (expertise, demonstration skills, and interactive ability) significantly influence consumers’ internal states (perceived functional value of products and perceived trust in product recommendations), which in turn significantly influence purchase intentions. Moreover, the physical surroundings of the studio and the social surroundings, including peers’ perceptions of live commerce, were found to moderate the relationships between consumers’ internal states and their purchase intentions. This study holds academic significance in that it presents a model that effectively understands the mechanisms influencing viewers’ purchase decisions in live commerce contexts. The findings and practical implications discussed in this study are expected to provide valuable insights for developing strategies to enhance the performance of live commerce. Full article

This review focuses on hydrogel-based systems specifically designed for non-opioid analgesics, aiming to improve efficacy, safety, and translational applicability. The opioid crisis has intensified the need for safer and more effective alternatives in pain management. Non-opioid analgesics including NSAIDs, acetaminophen, gabapentinoids, antidepressants, anticonvulsants, NMDA receptor antagonists, topical agents, and cannabinoids offer promising options but are limited by rapid clearance, short half-lives, and off-target effects. Hydrogel-based drug delivery systems present a novel solution by enabling controlled, localized, and sustained release of analgesics, thus improving therapeutic efficacy and minimizing systemic toxicity. Advances in stimulus-responsive, self-healing, mechanically robust, and hybrid or nanocomposite hydrogels have broadened their biomedical applications and clinical relevance. This narrative review summarizes key hydrogel technologies and their integration with non-opioid analgesic agents. We explore encapsulation strategies, drug release mechanisms, and emerging clinical data, while also addressing critical challenges such as biocompatibility, mechanical durability, and translational scalability. Interdisciplinary collaboration between material scientists, clinicians, and regulatory experts is essential to advance hydrogel-based therapies from bench to bedside. Overall, hydrogel platforms hold transformative potential in optimizing non-opioid analgesic delivery and redefining the future of pain management. Full article

Cancer continues to pose a major global health burden, with conventional therapeutic modalities such as surgical resection, chemotherapy, radiotherapy, and immunotherapy often hindered by limited tumor specificity, substantial systemic toxicity, and the emergence of multidrug resistance. The rapid advancement of nanotechnology has introduced functionalized nanomaterials as innovative tools in the realm of precision oncology. These nanoplatforms possess desirable physicochemical properties, including tunable particle size, favorable biocompatibility, and programmable surface chemistry, which collectively enable enhanced tumor targeting and reduced off-target effects. This review systematically examines recent developments in the application of nanomaterials for cancer therapy, with a focus on several representative nanocarrier systems. These include lipid-based formulations, synthetic polymeric nanoparticles, inorganic nanostructures composed of metallic or non-metallic elements, and carbon-based nanomaterials. In addition, the article outlines key strategies for functionalization, such as ligand-mediated targeting, stimulus-responsive drug release mechanisms, and biomimetic surface engineering to improve in vivo stability and immune evasion. These multifunctional nanocarriers have demonstrated significant potential across a range of therapeutic applications, including targeted drug delivery, photothermal therapy, photodynamic therapy, and cancer immunotherapy. When integrated into combinatorial treatment regimens, they have exhibited synergistic therapeutic effects, contributing to improved efficacy by overcoming tumor heterogeneity and resistance mechanisms. A growing body of preclinical evidence supports their ability to suppress tumor progression, minimize systemic toxicity, and enhance antitumor immune responses. This review further explores the design principles of multifunctional nanoplatforms and their comprehensive application in combination therapies, highlighting their preclinical efficacy. In addition, it critically examines major challenges impeding the clinical translation of nanomedicine. By identifying these obstacles, the review provides a valuable roadmap to guide future research and development. Overall, this work serves as an important reference for researchers, clinicians, and regulatory bodies aiming to advance the safe, effective, and personalized application of nanotechnology in cancer treatment. Full article

Human microglia are central regulators and actors in brain infections and neuro-inflammatory pathologies. However, access to such cells is limited, and studies systematically mapping the spectrum of their inflammatory states are scarce. Here, we generated microglia-like cells (MGLCs) from human induced pluripotent stem cells and characterized them as a robust, accessible model system for studying inflammatory activation. We validated lineage identity through transcriptome profiling, revealing selective upregulation of microglial signature genes and enrichment of microglia/macrophage-related gene sets. MGLCs displayed distinct morphologies and produced stimulus- and time-dependent cytokine secretion profiles upon exposure to diverse inflammatory stimuli, including pro-inflammatory cytokines (TNFα, interferon-γ) and agonists of the Toll-like receptors TLR2 (FSL-1), TLR3 (Poly(I:C)), TLR4 (lipopolysaccharide, LPS), and TLR7 (imiquimod). Transcriptome profiling and bioinformatics analysis revealed distinct activation signatures. Functional assays demonstrated stimulus-specific engagement of NFκB and JAK-STAT signaling pathways. The shared NFκB nuclear translocation response of TLR ligands and TNFα was reflected in overlapping transcriptome profiles: they shared modules (e.g., oxidative stress response and TNFα-related signaling) identified by weighted gene co-expression network analysis. Finally, the potential consequences of microglia activation for neighboring cells were studied on the example of microglia-astrocyte crosstalk. The capacity of MGLC supernatants to stimulate astrocytes was measured by quantifying astrocytic NFκB translocation. MGLCs stimulated with FSL-1, LPS, or Poly(I:C) indirectly activated astrocytes via a strictly TNFα-dependent mechanism, highlighting the role of soluble mediators in the signal propagation. Altogether, this platform enables a dissection of microglia activation states and multi-parametric characterization of subsequent neuroinflammation. Full article

AI text-to-video systems, such as OpenAI’s Sora, promise substantial efficiency gains in media production but also pose risks of biased outputs, opaque optimization, and deceptive content. Using the Orientation–Stimulus–Orientation–Response (O-S-O-R) model, we conduct an empirical study with 209 Chinese new media professionals and employ structural equation modeling to examine how information elaboration relates to AI knowledge, perceptions, and adoption intentions. Our findings reveal a knowledge paradox: higher objective AI knowledge negatively moderates elaboration, suggesting that centralized information ecosystems can misguide even well-informed practitioners. Building on these behavioral insights, we propose a blockchain-based governance framework that operationalizes five mechanisms to enhance oversight and trust while maintaining efficiency: Expert Assessment DAOs, Community Validation DAOs, real-time algorithm monitoring, professional integrity protection, and cross-border coordination. While our study focuses on China’s substantial new media market, the observed patterns and design principles generalize to global contexts. This work contributes empirical grounding for Web3-enabled AI governance, specifies implementable smart-contract patterns for multi-stakeholder validation and incentives, and outlines a research agenda spanning longitudinal, cross-cultural, and implementation studies. Full article

Soft tissue manipulation (STM) is widely used by physical therapists, massage therapists, athletic trainers, and osteopathic physicians to manage musculoskeletal pain, yet its biological mechanisms remain poorly understood. Preclinical studies indicate that STM can alter immune cell behavior in animal models, increasing anti-inflammatory cytokines (IL-4, IL-10) and reducing chemokines such as RANTES/CCL5. Single-cell transcriptomic analyses suggest mechanical treatment may reprogram stromal cells and shift immune cell recruitment in aged or inflamed tissues. However, many of these mechanistic findings have yet to be confirmed in human studies. Early clinical trials show massage therapy can modify circulating leukocytes and reduce cytokine responses, but direct tissue-level evidence in human subjects remains limited. This narrative review summarizes existing insights and emphasizes the need for future clinical investigations targeting populations with chronic inflammation, repetitive-use injuries, post-surgical fibrosis, or age-related muscle decline. We advocate for studies incorporating tissue or fluid sampling, cytokine profiling, and molecular assays such as flow cytometry or transcriptomics to characterize STM’s immunological effects in people. Rather than simply easing symptoms, STM may act as a precision mechanical stimulus that recalibrates immune tone and promotes tissue repair. Bridging basic science with clinical research will be essential to establish STM as a biologically informed, mechanobiology-based therapeutic strategy. Full article

Autonomous social robots aim to reduce human supervision by performing various tasks. To achieve this, they are equipped with multiple perceptual channels to interpret and respond to environmental cues in real time. However, multimodal perception often leads to sensory overload, as robots may receive numerous simultaneous stimuli with varying durations or persistent activations across different sensory modalities. Sensor overstimulation and false positives can compromise a robot’s ability to prioritise relevant inputs, sometimes resulting in repeated or inaccurate behavioural responses that reduce the quality and coherence of the interaction. This paper presents a Bioinspired Attentional System that uses Reinforcement Learning to manage stimulus prioritisation in real time. The system draws inspiration from the following two neurocognitive mechanisms: Inhibition of Return, which progressively reduces the importance of previously attended stimuli that remain active over time, and Attentional Fatigue, which penalises stimuli of the same perception modality when they appear repeatedly or simultaneously. These mechanisms define the algorithm’s reward function to dynamically adjust the weights assigned to each stimulus, enabling the system to select the most relevant one at each moment. The system has been integrated into a social robot and tested in three representative case studies that show how it modulates sensory signals, reduces the impact of redundant inputs, and improves stimulus selection in overstimulating scenarios. Additionally, we compare the proposed method with a baseline where the robot executes expressions as soon as it receives them using a queue. The results show the system’s significant improvement in expression management, reducing the number of expressions in the queue and the delay in performing them. Full article

Against the backdrop of the rapid proliferation of electric vehicles (EVs), gender-oriented behavioral mechanisms remain underexplored, particularly the unique pathways of female users in usage experience, value assessment, and purchase decision-making. This study constructs an integrated framework based on the Stimulus–Organism–Response (SOR) model, leveraging social media big data to analyze in depth how gender differences influence EV users’ purchase intentions. By integrating natural language processing techniques, grounded theory coding, and structural equation modeling (SEM), this study models and analyzes 272,083 pieces of user-generated content (UGC) from Chinese social media platforms, identifying key functional and emotional factors shaping female users’ perceptions and attitudes. The results reveal that esthetic value, safety, and intelligent features more strongly drive emotional responses among female users’ decisions through functional cognition, with gender significantly moderating the pathways from perceived attributes to emotional resonance and cognitive evaluation. This study further confirms the dual mediating roles of functional cognition and emotional experience and identifies a masking (suppression) effect for the ‘intelligent perception’ variable. Methodologically, it develops a novel hybrid paradigm that integrates data-driven semantic mining with psychological behavioral modeling, enhancing the ecological validity of consumer behavior research. Practically, the findings provide empirical support for gender-sensitive EV product design, personalized marketing strategies, and community-based service innovations, while also discussing research limitations and proposing future directions for cross-cultural validation and multimodal analysis. Full article

Background: In an increasingly digital marketplace, social media marketing activities (SMMAs) have become vital for building consumer–brand relationships, particularly among Generation Z (Gen Z) consumers. Coffee shops offer a unique context because they are lifestyle-oriented and highly dependent on repeat visits, making them especially responsive to digital engagement. This study examines the impact of SMMAs on brand loyalty in the Saudi Arabian coffee shop sector, with a particular focus on the mediating role of consumer brand preference and the moderating role of brand awareness. Drawing on the Stimulus–Organism–Response (S-O-R) framework and Generational Marketing Theory, the research explores how Gen Z consumers respond to social media efforts that are informative, interactive, trendy, and personalized. Methods: Data were collected using convenience sampling via an online survey of 412 Gen Z consumers in Saudi Arabia who follow at least one local or international coffee shop brand on social media. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the hypothesized relationships, mediation, and moderation effects. Results: The findings revealed that SMMAs have a substantial direct effect on both brand loyalty and consumer brand preference. Moreover, consumer brand preference partially mediates the relationship between SMMAs and brand loyalty, underscoring its importance as a psychological mechanism in the formation of loyalty. Additionally, brand awareness was found to significantly moderate the SMMAs–brand loyalty relationship, with more potent effects observed among consumers with higher levels of brand familiarity. Implications: The study contributes theoretically by extending the S-O-R framework with Generational Marketing Theory, demonstrating the partial mediating role of brand preference and the moderating direct effect of brand awareness. Practically, the results suggest that coffee shop marketers should design social media strategies that are informative, interactive, trendy, and personalized while also investing in awareness-building campaigns to amplify loyalty among Gen Z consumers. Full article

Background: The functional role of GhZFP8 (a zinc finger protein gene) in plant growth and development remains unclear. Methods: This study investigated phenotypic and transcriptomic changes in GhZFP8-transgenic vs. wild-type Arabidopsis to clarify GhZFP8’s biological functions. Phenotypes of two transgenic lines (ZFP8_7, ZFP8_21) were observed. Transcriptome sequencing (ZFP8_7 vs. wild-type, 3 biological replicates/sample) was performed, with quality assessment (coverage, depth, alignment rate). Differential genes were screened by |log2(fold change)| > 1 and FDR < 0.05; GO/KEGG enrichment analyses were conducted. Results: Transgenic lines showed slower growth, higher trichome density, ectopic silique trichomes, and reduced fertility. Sequencing quality was satisfactory (97.42% exonic alignment). Most differential genes were highly expressed in wild-type plants, with more downregulated than upregulated genes. Upregulated genes enriched in stimulus response regulation, plant cell walls, and methyltransferase activity (GO); estrogen signaling/tyrosine metabolism (KEGG). Downregulated genes enriched in cell wall/phenylpropanoid biosynthesis (GO); glycosyltransferase/plant MAPK pathways (KEGG). Conclusions:GhZFP8 overexpression induces significant phenotypic changes and alters gene expression in Arabidopsis. Findings provide insights into GhZFP8’s effects, supporting further study of its functional mechanisms. Full article

This study models how designable cues in digital heritage promotion shape advocacy through affect and memory. Relying on the stimulus–organism–response paradigm, we argue that three stimuli, Visual Sensory Appeal (VSA), Narrative Immersion (NI), and Perceived Authenticity (PA), trigger Emotional Engagement (EE) and become Destination Memory (DM), leading to Intention to Recommend (IR). A cross-sectional quantitative design with an online self-report survey was employed. Using Structural Equation Modeling (SEM) we modeled 653 usable responses to test hypothesized stimulus–organism–response processes and Multi-Group Analysis (MGA) tested heterogeneity across gender, age, education, recent contact, cultural-travel frequency, preservation interest, prior heritage experience, and technology use. Direct associations revealed VSA was a strong predictor of IR, and EE and DM predicted IR positively. NI and PA were not incrementally directly affecting IR. Mediation tests revealed partial mediation for VSA (through EE and DM) and complete mediation for NI and PA; across all stimuli, DM far surpassed EE, suggesting memory consolidation as the overall mechanism. MGA revealed systematic segmentation: women preferred visual and authenticity approaches; men used affective conversion, narrative, and authenticity-to-memory more; young adults preferred story/memory levers; higher education made authenticity pathways legitimate; exposure, experience, sustainability interest, and technology use further conditioned strength of paths. Results sharpen S–O–R accounts by ranking visual design as a proximal driver and placing EE on DM as the central channel through which narrative and authenticity have their influence. In practice, the research supports visually consistent, memory-backed, segment-specific strategies for sustainable, inclusive heritage communication. Full article

This study, grounded in the Stimulus-Organism-Response (S-O-R) model and incorporating a sustainable consumption perspective, investigates how the characteristics and marketing strategies of blind box products influence continuous purchase behavior through perceived value and perceived needs. Empirical evidence reveals that perceived needs are crucial for sustained purchases, with significant impacts from intellectual property (IP) characteristics and uncertainty, highlighting the core role of emotional resonance and experiential stimulation. In the context of sustainable consumption, long-term consumption is based on rational cognition of product value. Consumers form a dual cognitive understanding of “value” and “needs” regarding blind boxes, with these two acting as mediating variables linking antecedents and behaviors. Perceived sustainable value is increasingly becoming an important factor in decision-making. IP and economic attributes positively influence continuous purchases, while social attributes have an insignificant effect on perceived needs, reflecting the priority of individual needs recognition, with sustainable consumption pursuits gradually integrating. Identity recognition indirectly influences continuous purchases through perceived value and needs, validating the “identity–perception–behavior” logic, with sustainable consumption concepts also participating in this transmission. This research constructs an S-O-R framework suitable for blind boxes, enriching the model’s application in emerging industries. It reveals a dual-driving mechanism, providing a basis for understanding the rational logic of “irrational consumption” and the practice of sustainable consumption in the blind box field. It clarifies the priority of individual and group needs and the path of sustainable consumption. The conclusions offer references for blind box product design (strengthening IP, balancing attributes, integrating sustainable concepts), marketing (reasonable use of uncertainty, focusing on individuals, guiding sustainable behavior), and industry development (guiding rational consumption, promoting transformation, and fostering sustainable development). Full article

This study is based on the theory of social embedding and selects the entrance community of Baoping County in the Giant Panda National Park as a case to explore the five core dimensions of cognitive embedding, relational embedding, structural embedding, institutional embedding, and cultural embedding and their mechanisms of influence on pro-environmental behaviors (mainly the five dimensions discussed). The study constructs a “stimulus—organism—response” (S-O-R) model, introduces two mediating variables, tourism impact perception and place attachment, and conducts empirical analysis based on 326 valid questionnaire responses using structural equation modeling. The results show that all dimensions of social embedding have a significant positive impact on pro-environmental behaviors, but the mechanisms and transmission paths vary. Each dimension indirectly influences pro-environmental behaviors through the chain path of “tourism impact perception → place attachment.” The study reveals the key role of social relationship networks, tourism perception, and emotional belonging in stimulating environmental behaviors and emphasizes the need to systemically enhance residents’ ecological responsibility awareness and action willingness through community co-construction, optimization of tourism benefits, and cultural atmosphere creation. Full article

This study investigates how AI-driven virtual anchors affect consumers’ purchase intentions by identifying their key attributes, underlying mechanisms, and configurational interplay. We integrate latent Dirichlet allocation (LDA), structural equation modeling (SEM), and fuzzy-set qualitative comparative analysis (fsQCA) into a unified methodological framework. Empirical evidence demonstrates that the public visibility of virtual anchors exerts a significant positive impact on purchase intention, whereas professionalism, responsiveness, and personalization primarily cultivate consumer pleasure and trust, yet exert limited direct influence on purchase decisions. Emotional states—arousal, pleasure, and trust—mediate the relationship between anchor characteristics and purchase intention. fsQCA further reveals that high purchase intention emerges when responsiveness serves as a necessary condition, trust operates as a pivotal hub, and arousal/pleasure function as emotional conduits; conversely, low purchase intention is chiefly attributable to deficiencies in visibility, responsiveness, and trust. By synthesizing the SOR (stimulus-organism-response) model with the PAD (Pleasure-Arousal-Dominance) emotion theory, this research extends theoretical insights into consumer behavior within e-commerce live-streaming contexts and provides actionable guidance for optimizing virtual anchor strategies, thereby advancing both standardization and innovation in the industry. Full article

This study examines the determinants of online customer engagement (OCE) and its role in influencing the repurchase intention of healthy food through social commerce (s-commerce) platforms. Using the Stimulus-Organism-Response (S-O-R) framework, 300 Indonesian urban shoppers were surveyed to explore the impact of customer internal and external buying stimuli through online content quality (OCQ) and customer experiences, encompassing hedonic and social value. PLS-SEM analysis highlights the significance of OCQ in enhancing customer trust and engagement while underscoring the importance of emotional gratification and perceived social benefits mediating customer engagement in building repurchase intentions. The analysis also reveals the insignificant direct effect between social value and repurchase intention, suggesting a more nuanced mechanism in consumer behavioural response. The findings provide theoretical insights into s-commerce research and practical implications for designing online food services to retain customers, emphasising the need for integrative strategies incorporating emotional, social, and informational elements. This research contributes to a deeper understanding of consumer behaviour in using social media for healthy food marketing. It offers sustainable and actionable recommendations for the digital era. Full article