With the rapid advancement of virtual human technology and live-streaming e-commerce, virtual anchors have increasingly become key interactive entities in the digital economy. However, emerging issues such as fake reviews, abnormal tipping, and illegal transactions pose significant threats to platform financial security and user privacy. To address these challenges, a multimodal emotion–finance fusion security recognition framework (MSF-Net) is proposed, which integrates visual, audio, textual, and financial transaction signals to achieve cross-modal feature alignment and multi-signal risk modeling. The framework consists of three core modules: the multimodal alignment transformer (MAT), the fake review detection (FRD) module, and the multi-signal fusion decision module (MSFDM), enabling deep integration of semantic consistency modeling and emotion–behavior collaborative recognition. Experimental results demonstrate that MSF-Net achieves superior performance in virtual live-streaming financial security detection, reaching a precision of 0.932, a recall of 0.924, an F1-score of 0.928, an accuracy of 0.931, and an area under curve (AUC) of 0.956, while maintaining a real-time inference speed of 60.7 FPS, indicating outstanding precision and responsiveness. The ablation experiments further verify the necessity of each module, as the removal of any component leads to an F1-score decrease exceeding 4%, confirming the structural validity of the model’s hierarchical fusion design. In addition, a lightweight version of MSF-Net was developed through parameter distillation and quantization pruning techniques, achieving real-time deployment on mobile devices with an average latency of only 19.4 milliseconds while maintaining an F1-score of 0.923 and an AUC of 0.947. The results indicate that MSF-Net exhibits both innovation and practicality in multimodal deep fusion and security risk recognition, offering a scalable solution for intelligent risk control in data-driven artificial intelligence applications across financial and virtual interaction domains.

Recently, human–robot interaction (HRI) with social robots has attracted significant attention. Among them, companion robots, which exhibit pet-like behaviors and interact with people primarily through non-verbal means, particularly require the generation of appropriate gestures. This paper presents the design and implementation of a companion cat robot, named PEPE, with a large language model (LLM)-based hierarchical emotional motion generation method. To design the cat-like companion robot, an analysis of feline emotional behaviors was conducted to identify the body parts and motions essential for effective emotional expression. Based on this analysis, the required degrees of freedom (DoFs) and structural configuration for PEPE were derived. To generate expressive gestures efficiently and reliably, a hierarchical LLM-based emotional motion generation method was proposed. The process defines the robot’s structural features, establishes a gesture generation code format, and incorporates emotion-based guidelines grounded in feline behavioral analysis to mitigate LLM hallucination and ensure physical feasibility. The proposed method was implemented on the physical robot, and eight emotional gestures were generated—Happy, Angry, Sad, Fearful, Joyful, Excited, Positive Feedback, and Negative Feedback. A user study with 15 participants was conducted to validate the system. The high-arousal gestures—Angry, Joyful, and Excited—were rated significantly above the neutral clarity threshold (p < 0.05), demonstrating clear user recognition. Meanwhile, low-arousal gestures exhibited neutral-level perceptions consistent with their subtle motion profiles. These results confirm that the proposed LLM-based framework effectively generates expressive, physically executable gestures for a companion robot.

Pediatric frontal lobe epilepsy (FLE): Semiological distinctions from adult-onset FLE.

ABSTRACTBackgroundProfessional grief refers to the emotional response healthcare professionals may experience following patient deaths. Although likely relevant in clinical practice, this phenomenon has been overlooked in research—particularly among psycho‐oncologists. This study examined the emotional impact, coping strategies, and support needs related to professional grief in a German sample of psycho‐oncologists.MethodsA cross‐sectional online survey was disseminated via professional associations and randomly selected cancer centers in Germany. Eligible participants were working in psycho‐oncology and had experienced at least one patient death. The survey included two established instruments (Texas Revised Inventory of Grief—Present Feelings [TRIG‐D], Professional Bereavement Scale [PBS‐D]) and self‐developed items on emotional responses, coping behaviors, and support needs.Results258 participants (91% female; mean age 48 years) were included. Participants reported an average of three patient deaths per month and moderate overall distress (scale 0–10, M = 5.02, SD = 2.14). Scores on both grief scales were in the low to moderate range. Most participants reported positive effects of professional grief on for example their sense of purpose, with minimal impact on relationships. Common coping strategies included adopting an accepting stance and peer support. Unmet support needs were identified, particularly regarding professional training and timely communication about patient deaths.ConclusionThis study offers the first quantitative insight into professional grief among psycho‐oncologists in Germany. Professional grief levels were low to moderate. The reported positive changes suggest that patient deaths may even pose a chance for professional growth. Future research should explore relevant risk and protective factors to guide targeted support.

The effect mechanism of construction workers' emotion on unsafe behavior: Mediating role of safety attitude and moderating role of emotional intelligence.

Effects of different intake levels of brown rice and whole wheat on the mental state of mice.

The brain lipid profile is a complex and dynamic system playing a critical role in regulating various functions, including mood swings, perception, and emotional behavior. Explicitly, the enrichment of polyunsaturated fatty acids (PUFAs) in the brain and membranes exposes them to reactive free radical species [reactive oxygen species (ROS)/reactive nitrogen species (RNS)], leading to lipid peroxidation (LP), which may result in disruption of cell fluidity and membrane permeability, hindering cellular functions. An increase in LP end products specifically triggers apoptosis and necrosis, potentially resulting in the onset of serious ailments such as neurodegenerative diseases, cancer, atherosclerosis, and diabetes. Cells are equipped with antioxidant defense systems to combat and scavenge harmful reactive free radical species, thereby maintaining redox homeostasis. Indisputably, the transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) is a key player in regulating the cellular antioxidant response by controlling gene expression related to oxidative and electrophilic stress. Nrf2 also influences various cellular processes such as metabolism, inflammation, drug detoxification, and DNA repair. In recent years, several compounds have emerged as Nrf2 modulators, including curcumin, quercetin, anthocyanins, tea polyphenols, kaempferol, hesperetin, and icariin. These compounds play a vital role in regulating various essential Nrf2 upstream activators, thereby modulating Nrf2 pathways, predominantly upregulated by several phytochemical compounds, such as terpenoids like monoterpenes (aucubin, catapol), diterpenes (ginkgolides), triterpenes (ginsenosides), and carotenoids (astaxanthin, lycopene). This review is a modest attempt to provide a comprehensive literature appraisal, facilitating a deeper understanding of the significant role of Nrf2 modulators in obstructing LP and treating serious diseases such as cancer.

Adolescence is a transitional period from childhood to adulthood, during which rapid physical, mental, and emotional changes occur. During this period, adolescents begin to form their identity and search for identity. One of the things that develops is awareness of physical appearance, called body image. Body image shows how a person views body shape, body size, and overall appearance, both from the assessment of themselves and others. Perception of body image can affect eating behavior. Adolescence who have a negative body image may go on strict diets or eat emotionally without control. Both of these behaviors can lead to an unbalanced nutrient intake. This study aims to analyze the relationship between body image, eating behavior, and nutritional status of high school adolescents in Banjarsari District, Surakarta. The method used was a cross-sectional study with 154 respondents selected randomly proportionally. The tool used was the body image questionnaire (BSQ-34) containing 34 questions covering 4 aspects: perception of body shape, comparison with others, excessive focus on the body, and changes in body perception. The eating behavior questionnaire (DEBQ-28) contains 28 questions covering 3 aspects of eating behavior: emotional eating, eating due to external influences, and controlling appetite. Nutritional status was measured using anthropometric methods, including body weight and height, which were then analyzed using the Body Mass Index for Age (BMI/A). Data were analyzed using the Spearman Rank test to see the relationship between body image, eating behavior, and nutritional status. The results showed that 84.4% of adolescents in Banjarsari District had a positive body image. Adolescents tended to engage in external eating behaviors, with the highest average score of 26.84. The majority of adolescents had normal nutritional status (64.3%). The study found a relationship between body image (p < 0.001), external eating behavior (p = 0.027), and restrained eating behavior (p = 0.000) with nutritional status. However, there was no relationship between emotional eating behavior (p = 0.830) and nutritional status among adolescents in Banjarsari District.

This study aims to examine the effectiveness of group guidance using the Rational Emotive Behavior Therapy (REBT) technique in improving the discipline of performing prayers among final semester students in the Islamic Guidance and Counseling Study Program at UIN Raden Fatah Palembang. The background of this study is based on the phenomenon of low student discipline in performing prayers due to academic pressure, poor time management, and irrational thought patterns that hinder consistent worship. This research employs a quantitative approach with an experimental method. The sample consisted of 10 students selected through purposive sampling based on pretest results indicating a low level of discipline. The research instrument was a prayer discipline questionnaire, and data analysis was conducted using the Paired Sample T-Test through SPSS version 26. The results showed a significant increase between pretest and posttest scores, with the mean score rising from 67 to 102. The significance value (Sig. 2-tailed) of 0.000 < 0.05 indicates a significant difference before and after the treatment. This proves that group guidance using the REBT technique is effective in improving the discipline of performing prayers. Through this guidance activity, students were able to recognize irrational thoughts, transform them into rational ones, and foster spiritual motivation and responsibility to worship on time and consistently. This study is expected to serve as a reference for educational institutions in developing guidance services based on psychological and spiritual approaches.

17β-trenbolone increases circulating myeloid-derived MMP8 in CSDS-induced mice and drives depressive tendencies to social threat.

ABSTRACT The present study aimed to investigate the mechanism by which kindergarten teachers’ emotional support in terms of beliefs about emotions and emotional support behaviors was associated with Chinese young children’s self-regulated learning. Participants were 23 Chinese kindergarten teachers and 122 children aged 24–68 months. Teachers reported on their beliefs about emotions, children’s self-efficacy, and children’s self-regulated learning. Teachers’ emotional support behaviors were videotaped and coded for an in-depth observational analysis. The main finding revealed that teachers’ emotional support behaviors and children’s self-efficacy had serial mediating effects on the association between teachers’ beliefs about emotions and children’s self-regulated learning. The study has important implications for understanding the role that teachers’ emotional support can play in young children’s self-regulated learning outcomes in early years settings in China and beyond, highlighting the need for teacher training programs that foster emotional awareness and supportive practices.

This study undertakes the theory of stimulus organism response (SOR theory) to explain and predict investor emotion and investor behavior during the Covid-19 pandemic in France and Germany financial markets. In this paper, we apply the nonparametric volatility model, the vector autoregressive model, and the nonlinear autoregressive exogenous neural network model. Empirical results show a high level of jumps in investor emotion and investor behavior during the first wave of Covid-19. Moreover, we find the existence of emotional response to Covid-19, lockdown, and government support stimuli. Indeed, we find that Covid-19 stimuli enhance investor fear, while government support stimuli minimize the level of fear. Then, the investor emotion stimulates investor behavior, generating a behavioral response that confirms the SOR theory. However, we find that during the Covid-19 pandemic, market and bank stimuli present a lower effect on investor emotion compared with stimuli related to the Covid19 crisis. The Covid-19, lockdown, and government support stimuli efficiently predict investor emotion.

Hybrid work increasingly shifts collaboration toward technology-based virtual interactions parallel to traditional face-to-face contacts. Since trust dynamics are a crucial part of collaboration in organizations, we investigate how they develop in this hybrid approach to collaboration. Findings from a case study conducted during an innovation contest at a large university reveal that alternating between collaboration modes in hybrid work can intensify trust dynamics, as online practices that supplement offline practices can shape the trust dynamics relevant to effective collaboration. We identify five stages of trust dynamics: formation, facilitation, establishment, acceleration, and reinforcement of trust. While we consider operating practices to support trust intensification, we find that users’ embrace of both offline and online spaces is the driving force that triggers the transition from one stage of trust dynamics to the next. Our findings demonstrate the Janus-faced nature of technological affordances: while technologies such as instant messaging are typically used for task-related exchanges in teams, in our hybrid collaboration setting, we found that these technologies were also used for non-task-related exchanges, which we usually observe in face-to-face settings. This finding presents a significant theoretical puzzle related to the evolution of trust, which is greatly determined by the trust and reliance behavior of people: Whereas disclosure behavior has historically been linked to in-person interactions and reliance behavior to operational duties, the growing use of technology in hybrid work environments seems to blur these concepts of trusting behavior. This requires a more thorough investigation of how disclosure and reliance behaviors and trust dynamics shift in hybrid work environments, especially where operational and emotional behaviors converge. The study contributes to research by developing a novel framework for the dynamics of trust in hybrid work.

The endocannabinoid system regulates neuronal activity and plasticity, but its role in non-mammalian vertebrates remains poorly understood. In zebrafish (Danio rerio), the pallium processes cognitive functions such as memory, learning, and emotional behavior. This region expresses cannabinoid receptors and undergoes continuous neuronal remodeling through adult neurogenesis. Here, we investigate whether cannabinoid receptor type 1 (CB1R) modulates synaptic activity and adult neurogenesis in zebrafish pallial circuits. Using immunofluorescence and single-cell mRNA analysis, we mapped CB1R expression in the pallium and found it to be distributed in a scattered pattern within the dorsomedial (Dm) and dorsolateral (Dl) regions, predominantly in glutamatergic neurons. Electrophysiological recordings showed that acute application of rimonabant, a CB1R antagonist, reduced the frequency of spontaneous excitatory postsynaptic currents (sEPSCs) without altering intrinsic or other synaptic properties, suggesting a tonic role for CB1R in modulating synaptic transmission. Additionally, prolonged rimonabant treatment (13 days) significantly reduced ERK phosphorylation, a marker of neuronal activity, further supporting the involvement of CB1R in maintaining basal synaptic activity in the pallium. To assess whether cannabinoid signaling shapes adult neurogenesis, we analyzed the proliferation of neural stem cells (NSCs) and maturation of adult-born neurons. Acute phytocannabinoid exposure resulted in a reduction in NSC proliferation, specifically in the anterior Dm. To assess the neurogenic outcome, the cannabinoid treatment was administered during neuronal maturation (12-24 days after BrdU labeling). We observed an increase in the number of 25-day-old neurons (BrdU+, HuC/D+) in both Dm and Dl regions. This effect was reverted by the CB1R antagonist rimonabant. These results indicate that cannabinoid signaling modulates synaptic activity and neuronal integration, highlighting a conserved control of neurogenesis by the endocannabinoid system across vertebrates.

Effects of EP-1 exposure during lactation on the emotion, social behavior, gonadal metabolomics, and related receptors in the brains of adult offspring in Kunming mice.

MCH11, a new monoacylglycerol lipase inhibitor, reduces ethanol consumption and motivation to drink in mice, with sex-dependent differences.

Obesity-induced emotional alterations in mice are associated with impairments of tryptophan metabolism along the kynurenine and indole pathways.

Current biological behavior models only take the external environment information as the basis for decision-making, ignoring the internal emotional state information. A memristor-based cerebellar model articulation controller (CMAC) neural network circuit of artificial fish behavioral decision is designed, and fuzzy emotion is taken into account. The designed circuit is mainly composed of voltage selection modules, fuzzy processing modules, synaptic neuron modules, eigen quantity modules and feedback modules. CMAC neural network is used as learning criteria and the learning subspace voltage with emotional generalization properties outputs to synaptic neural module. By utilizing the nonvolatility and thresholding properties of the memristor, the weights in the neural network are changed to enable the artificial fish to perform primary and secondary learning under specific emotional voltages. The feasibility of the above circuit is verified by PSpice simulation software. The artificial life and biological intelligence behavior are integrated by the memristor-based CMAC neural network circuit. It provides a reliable theory and basis for the emotional behavior of bionic robots.

The effect of virtual reality on pain and fear levels of children with primary immunodeficiency applying intravenous immunoglobulin during intravenous access: A crossover randomized controlled trial.

SummaryIntroductionIntellectual disability is a permanent disability and raising such a child may lead to varied physical, social, emotional response from caregivers. Data of Quality of life of family members of such children is underexplored.ObjectivesTo measure quality of life of family members of intellectually disabled children.MethodologyA cross-sectional study was conducted involving seven functional special schools in Ahmedabad. Out of 382 eligible children, 253 parents (Category A) and 195 siblings (Category B) were included. Data were collected using a pre-tested, semi-structured questionnaire. Quality of life for parents was assessed using the National Institute of Mental Health Disability Impact Scale, while siblings were evaluated using the Columbia Impairment Scale (Youth Version).ResultsAmong Category A participants, the most negatively affected domains were social life (77.1%), physical care (65.2%) and embarrassment (60.5%). Positive effects included better family relationships and increased empathy. Among siblings, 80.5% exhibited functional impairment (score >16), with common problems related to emotional well-being, behaviour and peer interactions. Age, education, and employment status significantly influenced impairment scores.ConclusionParents and siblings of children with ID experience considerable negative impacts on their quality of life. These findings highlight the need for targeted psychosocial and support interventions to address the challenges faced by these families.