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With the rapid development of motion analysis and editing technology, more and more animation technologies based on real human motion analysis are widely used in games, medicine, film and television, sports, and other fields. The role of this technology in the teaching system of sports dance arrangement cannot be ignored. This paper studies the application of intelligent algorithm in injury analysis of sports dance choreography and puts forward a smooth and natural motion editing method which is more in line with the characteristics of human motion. The square spherical surface intelligent algorithm is used to naturally transition the rotation posture of each frame of human joint, and the action modification of computer-aided dance choreography system is more in line with the real action of human body. Simulation results show that interframe data can be used for the same type of dance. Different types of dance arrangement can adopt the method of inserting a new framework between the two dance movements, so as to finally meet the needs of sports dance coaches and students to observe their own dance movements in an all-round way, so as to facilitate the arrangement and modification of sports dance movement design. It provides a certain reference for the application and development of virtual technology in the field of sports and greatly improves the current situation of sports dance teaching equipment. Through animation simulation technology, we can effectively avoid the injury caused by dangerous movements, provide a way of observation and improvement for coaches’ dance teaching, and effectively improve the training effect. Compared with traditional dance choreography methods, the intelligent algorithm in this study can make the animation display of sports dance more coherent and realistic and effectively solve the needs of current events observation and modification in sports dance choreography. It can produce complex movements with simple movements and help teachers arrange and teach sports dance. Avoid the accidental injury caused by the limitation of time and space in traditional teaching and realize the modernization and intelligence of physical education teaching.

The present study investigated gender differences in both emotional experience and expressivity. Heart rate (HR) was recorded as an indicator of emotional experience while the participants watched 16 video clips that induced eight types of emotion (sadness, anger, horror, disgust, neutrality, amusement, surprise, and pleasure). We also asked the participants to report valence, arousal, and motivation as indicators of emotional expressivity. Overall, the results revealed gender differences in emotional experience and emotional expressivity. When watching videos that induced anger, amusement, and pleasure, men showed larger decreases in HR, whereas women reported higher levels of arousal. There was no gender difference in HR when the participants watched videos that induced horror and disgust, but women reported lower valence, higher arousal, and stronger avoidance motivation than did men. Finally, no gender difference was observed in sadness or surprise, although there was one exception-women reported higher arousal when watching videos that induced sadness. The findings suggest that, when watching videos that induce an emotional response, men often have more intense emotional experiences, whereas women have higher emotional expressivity, particularly for negative emotions. In addition, gender differences depend on the specific emotion type but not the valence.

PurposeUnderpinned by the exit-voice and work design models, this study investigates how work autonomy reduces employee turnover intentions and promotes voice behavior via the mediator of skill utilization and how this mediation process is moderated by social (learning from colleagues) and personality (future time orientation) characteristics.Design/methodology/approachThe hypothesized moderated mediation model was tested using regression analysis based on two-wave survey data of 350 Chinese employees.FindingsThe relationships between work autonomy on the one hand and voice behavior and turnover intentions on the other were mediated by skill utilization. Furthermore, such mediated relationships were intensified by collegial learning and future time orientation.Practical implicationsAdopting empowering HR practices (e.g. autonomous work teams and job rotation) that give employees job control and learning opportunities is important to encourage employee voice and reduce turnover.Originality/valueThe paper identifies collegial learning and future time orientation as boundary conditions that regulate the effects of work autonomy. This reconciles the contradictory findings in prior research testing the relationship between autonomy and exit-voice decisions.

Polymerization‐induced self‐assembly (PISA) enables the simultaneous growth and self‐assembly of block copolymers in one pot and therefore has developed into a high‐efficiency platform for the preparation of polymer assemblies with high concentration and excellent reproducibility. During the past decade, the driving force of PISA has extended from hydrophobic interactions to other supramolecular interactions, which has greatly innovated the design of PISA, enlarged the monomer/solvent toolkit, and endowed the polymer assemblies with intrinsic dynamicity and responsiveness. To unravel the important role of driving forces in the formation of polymeric assemblies, this review summarized the recent development of PISA from the perspective of driving forces. Motivated by this goal, here we give a brief overview of the basic principles of PISA and systematically discuss the various driving forces in the PISA system, including hydrophobic interactions, hydrogen bonding, electrostatic interactions, and π‐π interactions. Furthermore, PISA systems that are driven and regulated by crystallization or liquid crystalline ordering were also highlighted. Polymerization‐induced self‐assembly (PISA) is a robust platform for the high‐efficiency preparation of polymer assemblies with high concentration and excellent reproducibility. This review summarizes the recent development of PISA from the perspective of the driving forces. Besides the PISA driven by hydrophobic interactions, novel PISA systems driven by hydrogen bonding, electrostatic interactions, π‐π interactions, crystallization, and liquid crystalline ordering are also summarized.

PurposeGrounded in the job demands–resources (JD-R) theory, this study investigates how the difficulty in social distancing at work, resulting from the COVID-19 crisis, may lead to intention to quit and career regret and how and when these effects may be attenuated.Design/methodology/approachThree-wave survey data were collected from 223 frontline service workers in a large restaurant company during the COVID-19 crisis.FindingsThe results show that difficulty in social distancing reduced employees' work engagement, and consequently, increased their turnover intention and career regret. These relationships were moderated by external employability, such that the influence of difficulty in social distancing weakened as external employability increased.Originality/valueSocial distancing measures have been applied across the globe to minimize transmission of COVID-19. However, such measures create a new job demand for service workers who find it difficult to practice social distancing due to the high contact intensity of service delivery. This study identified personal resources that help service workers cope with the demand triggered by COVID-19.

Sepsis-induced acute lung injury (ALI) is a life-threatening condition with limited therapeutic options. The mitochondrial protein NOD-like receptor X1 (NLRX1) has emerged as a potential immunometabolic modulator, but its functional role and mechanism in septic ALI remain poorly defined. Bioinformatic analysis was performed on the GSE4607 sepsis dataset. A murine model of sepsis-induced ALI was established using cecal ligation and puncture (CLP), with NLRX1 overexpression achieved through adeno-associated virus serotype 9 (AAV9)-mediated gene delivery. Histopathological evaluation, TUNEL staining, and transmission electron microscopy, ELISA were employed to assess lung injury. Mouse lung epithelial cells (MLE-12) were stimulated with lipopolysaccharide (LPS), combined with NLRX1 overexpression and Mdivi-1-mediated mitophagy inhibition to explore the key mechanism by which NLRX1 improves ALI. NLRX1 was significantly downregulated in septic patients and mouse lungs, correlating with mitochondrial damage and NOD-like receptor protein 3 (NLRP3) inflammasome activation. NLRX1 overexpression in CLP mice attenuated pulmonary injury, edema, inflammation, and systemic cytokine release by enhancing mitophagy and suppressing apoptosis. Mechanistically, NLRX1 directly interacted with LC3B to promote mitophagy, thereby preserving mitochondrial membrane potential, reducing superoxide production and mtDNA release, and maintaining ATP levels. By improving mitochondrial homeostasis, NLRX1 overexpression indirectly suppressed NLRP3 inflammasome activation and pyroptosis. Crucially, the mitochondrial fission and mitophagy inhibitor Mdivi-1 abolished all beneficial effects of NLRX1, underscoring the essential role of comprehensive mitochondrial quality control. Our findings identify NLRX1 as a critical protective regulator of mitochondrial integrity that alleviates septic ALI by orchestrating mitophagy and mitochondrial quality control to restrain NLRP3-driven inflammation, presenting a promising therapeutic target.

Empathy plays a crucial role in promoting older adults’ interpersonal experiences, but it remains unclear how these benefits of empathy occur. To address this gap, we examined associations between empathy and how older adults behave and express emotions during their daily interpersonal encounters. Participants included 268 adults aged 65+ (46% men, n  = 124) from the Daily Experiences and Well-being Study . They reported background characteristics and empathy in baseline interviews and indicated interpersonal encounters every 3 hours across 5 to 6 days. Participants wore electronically activated recorders (EAR), an app that captured 30-second snippets of ambient sounds every 7 minutes. Verbatim transcripts were coded for positive and negative social behaviors (e.g., praise, complain) and text was analyzed via Linguistic Inquiry and Word Count (LIWC) software for verbal expressions of positive and negative emotions (e.g., happy, hope, hate, hurt). Multilevel models showed that greater empathy was associated with greater variety in positive social behaviors throughout the day. More empathic older adults expressed more positive emotions while engaging in positive behaviors and less negative emotions when engaging in negative behaviors. This study innovatively draws on naturalistic data to delineate how more empathic older adults may have more positive and less negative social experiences than their less empathic counterparts. Findings may inform interventions that can incorporate empathy training to target those at higher risk of poor interpersonal experiences and outcomes (e.g., social isolation).

Astragalus membranaceus (HUANG QI, HQ) is a kind of traditional Chinese medicine. Researchers have widely concerned its antitumor effect. At present, there is still a lack of research on the treatment of laryngeal cancer with HQ. In this study, we integrated data from the weighted gene co-expression network of laryngeal cancer samples and the components and targets of HQ. A new method for dividing PPI network modules is proposed. Important targets of HQ treatment for laryngeal cancer were obtained through the screening of critical modules. These nodes performed differential expression analysis and survival analysis through external data sets. GSEA enrichment analysis reveals pathways for important targets participation. Finally, molecular docking screened active ingredients in HQ that could interact with important targets. Combined with the laryngeal cancer gene co expression network and HQ PPI network, we obtained the critical module related to laryngeal cancer. Among them, MMP1, MMP3, and MMP10 were chosen as important targets. External data sets demonstrate that their expression in tumor samples is significantly higher than in normal samples. The survival time of patients with high expression group was significantly shortened, which is a negative factor for prognosis. GSEA enrichment analysis found that they are mainly involved in tumor-related pathways such as ECM receptor interaction and Small cell lung cancer. The docking results show that the components that can well bind to important targets of HQ are quercetin, rutin, and Chlorogenic acid, which may be the primary mechanism of the anti-cancer effect of HQ. These findings provide a preliminary research basis for Chinese medicine treatment of laryngeal cancer and offer ideas to related drug design.

In the process of shield tunneling through soft soil layers, the presence of confined water ahead poses a significant threat to the stability of the tunnel face. Therefore, it is crucial to consider the impact of confined water on the limit support pressure of the tunnel face. This study employed the finite element method (FEM) to analyze the limit support pressure of shield tunnel face instability within a pressurized water-containing layer. Subsequently, a multiple linear regression approach was applied to derive a concise solution formula for the limit support pressure, incorporating various influencing factors. The analysis yields the following conclusions: 1) The influence of confined water on the instability mode of the tunnel face in soft soil layers makes the displacement response of the strata not significant when the face is unstable; 2) The limit support pressure increases approximately linearly with the pressure head, shield tunnel diameter, and tunnel burial depth. And inversely proportional to the thickness of the impermeable layer, soil cohesion and internal friction angle; 3) Through an engineering case study analysis, the results align well with those obtained from traditional theoretical methods, thereby validating the rationality of the equations proposed in this paper. Furthermore, the proposed equations overcome the limitation of traditional theoretical approaches considering the influence of changes in impermeable layer thickness. It can accurately depict the dynamic variation in the required limit support pressure to maintain the stability of the tunnel face during shield tunneling, thus better reflecting engineering reality.