The Influential Mechanisms of Theory of Mind on Prosocial Behavior and the Effect of Mindfulness Intervention

Background:Theory of Mind(ToM)and empathy are crucial cognitive and emotional capacities that influence social interactions.While their role in promoting prosocial behavior has been established,the potential moderating effect of mindfulness on this relationship remains unexplored.Understanding these complex interactions is vital for developing effective interventions to foster prosocial behavior among college students.This study examines the influence of ToM on college students’prosocial behavior and explores the moderating role of mindfulness in this relationship.Methods:A mixed-methods approach combining questionnaires and experimental design was employed.Study 1:A survey of 759 college students(mean age 22.03 years;477 females)was conducted using the ToM Scale,Interpersonal Reactivity Index,Prosocial Behavior Tendency Scale,and Mindfulness Awareness Scale.Data were analyzed using correlation and moderated mediation analyses.Study 2:An 8-week mindfulness attention training program was implemented for the intervention group and compared with a control group.Mindfulness training served as a moderating variable to validate Model 59 from Study 1.Results:1.Study 1 found:(a)ToM was significantly positively correlated with prosocial behavior(r=0.31,p<0.01).(b)Empathy partially mediated the relationship between ToM and prosocial behavior(β=0.10,p<0.001,95%CI[0.06,0.14]).(c)Mindfulness negatively moderated the direct path between ToM and three dimensions of prosocial behavior,as well as the indirect path between empathy and kin altruism and reciprocal altruism.Specifically,high levels of mindfulness weakened the direct impact of ToM on prosocial behavior.High levels of mindfulness also weakened the indirect influence of ToM on prosocial behavior through empathy.2.Study 2 results showed:(a)The intervention group had significantly higher levels of trait mindfulness compared to the control group(t=2.56,p<0.05).(b)The validity of the moderated mediation model 59 from Study 1 was verified.Conclusion:While ToM and empathy play crucial roles in fostering prosocial behavior,mindfulness exhibits a more complex influence than anticipated,potentially inhibiting prosocial behavior under certain circumstances.These findings offer novel insights into the psychological mechanisms underlying prosocial behavior and underscore the importance of considering multiple interacting factors in its promotion.

Effect of Cognitive Behavioral Intervention on Plasma Cortisol in Patients with Breast Cancer PTSD

Objective: To investigate the effect of cognitive behavioral intervention on plasma cortisol in patients with breast cancer PTSD before surgery. Methods: SCL-90, EPQ-N and cognitive behavior intervention were performed on 30 patients with PTSD, 30 patients without PTSD and 30 normal subjects, and their fasting blood was collected to analyze cortisol in the morning. Results: The scores of SCL-90 and EPQ-N in patients with breast cancer PTSD were significantly higher than those in non-PTSD patients and normal subjects (P < 0.01). After cognitive behavioral intervention, the plasma cortisol level of breast cancer PTSD patients was significantly decreased (P Conclusion: Compared with non-PTSD breast cancer patients and normal control group, breast cancer PTSD patients had more serious psychological problems, worse emotional stability and higher plasma cortisol level. Cognitive-behavioral intervention can effectively reduce plasma cortisol levels in breast cancer patients with PTSD.

Study on the Effect of Behavioral Interventions Based on the Theory of“Knowledge,Attitude,Practice”on Tuberculosis Cognitive Level of Close Contacts

Objective:Based on the theory of“Knowledge,Attitude,Practice,”health education was carried out for close contact with tuberculosis(TB)at a university in Beijing,and its impact on the students’awareness of TB was studied.This study could provide a reference for effective health education interventions among close contacts of TB in undergraduates.Methods:102 undergraduates who had close contact with one confirmed case of pulmonary TB in April 2021 at a university were randomly divided into a control group and an intervention group.The intervention group was given the“Knowledge,Attitude,Practice”health education intervention by professionally trained doctors,and were asked to complete a self-designed TB-related questionnaire before and after the intervention.Both groups performed the Tuberculin Skin Test(TST)and chest X-ray(CR)examination.Results:The rate of the TST test was 18.6%,and CR examination showed 0 cases of pulmonary TB.The survey results showed that the TB awareness rate(96.1%,49/51)in the intervention group was significantly higher than that of the control group(51.0%,26/51),and the differences in awareness rate between the two groups were statistically significant(P<0.05).Regarding the attitude/skills toward TB,the prevalence rate of tuberculosis-related attitude/behavior in the intervention group(94.1%,47/51)was significantly higher than that of the control group(60.8%,31/51),and the differences between the two groups were statistically significant(P<0.05).Conclusion:Both self-controlled and parallel-controlled studies showed that the health education intervention of“Knowledge,Attitude,Practice”improved the awareness of TB among close contacts of TB in undergraduates.

The Intersection of Privacy by Design and Behavioral Economics: Nudging Users towards Privacy-Friendly Choices

This paper conducts a comprehensive review of existing research on Privacy by Design (PbD) and behavioral economics, explores the intersection of Privacy by Design (PbD) and behavioral economics, and how designers can leverage “nudges” to encourage users towards privacy-friendly choices. We analyze the limitations of rational choice in the context of privacy decision-making and identify key opportunities for integrating behavioral economics into PbD. We propose a user-centered design framework for integrating behavioral economics into PbD, which includes strategies for simplifying complex choices, making privacy visible, providing feedback and control, and testing and iterating. Our analysis highlights the need for a more nuanced understanding of user behavior and decision-making in the context of privacy, and demonstrates the potential of behavioral economics to inform the design of more effective PbD solutions.

Establishment and validation of an adherence prediction system for lifestyle interventions in non-alcoholic fatty liver disease

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)is the most common liver disease worldwide,affecting about 1/4th of the global population and causing a huge global economic burden.To date,no drugs have been approved for the treatment of NAFLD,making the correction of unhealthy lifestyles the principle method of treatment.Identifying patients with poor adherence to lifestyle correction and attempting to improve their adherence are therefore very important.AIM To develop and validate a scale that can rapidly assess the adherence of patients with NAFLD to lifestyle interventions.METHODS The Exercise and Diet Adherence Scale(EDAS)was designed based on com-pilation using the Delphi method,and its reliability was subsequently evaluated.Demographic and laboratory indicators were measured,and patients completed the EDAS questionnaire at baseline and after 6 months.The efficacy of the EDAS was evaluated in the initial cohort.Subsequently,the efficacy of the EDAS was internally verified in a validation cohort.RESULTS The EDAS consisted of 33 items in six dimensions,with a total of 165 points.Total EDAS score correlated significantly with daily number of exercise and daily reduction in calorie intake(P<0.05 each),but not with overall weight loss.A total score of 116 was excellent in predicting adherence to daily reduction in calorie intake(>500 kacl/d),(sensitivity/specificity was 100.0%/75.8%),while patients score below 97 could nearly rule out the possibility of daily exercise(sensitivity/specificity was 89.5%/44.4%).Total EDAS scores≥116,97-115,and<97 points were indicative of good,average,and poor adherence,respectively,to diet and exercise recommendations.CONCLUSION The EDAS can reliably assess the adherence of patients with NAFLD to lifestyle interventions and have clinical application in this population.

AMachine Learning Approach to User Profiling for Data Annotation of Online Behavior

The user’s intent to seek online information has been an active area of research in user profiling.User profiling considers user characteristics,behaviors,activities,and preferences to sketch user intentions,interests,and motivations.Determining user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content presentation.The user’s complete online experience in seeking information is a blend of activities such as searching,verifying,and sharing it on social platforms.However,a combination of multiple behaviors in profiling users has yet to be considered.This research takes a novel approach and explores user intent types based on multidimensional online behavior in information acquisition.This research explores information search,verification,and dissemination behavior and identifies diverse types of users based on their online engagement using machine learning.The research proposes a generic user profile template that explains the user characteristics based on the internet experience and uses it as ground truth for data annotation.User feedback is based on online behavior and practices collected by using a survey method.The participants include both males and females from different occupation sectors and different ages.The data collected is subject to feature engineering,and the significant features are presented to unsupervised machine learning methods to identify user intent classes or profiles and their characteristics.Different techniques are evaluated,and the K-Mean clustering method successfully generates five user groups observing different user characteristics with an average silhouette of 0.36 and a distortion score of 1136.Feature average is computed to identify user intent type characteristics.The user intent classes are then further generalized to create a user intent template with an Inter-Rater Reliability of 75%.This research successfully extracts different user types based on their preferences in online content,platforms,criteria,and frequency.The study also validates the proposed template on user feedback data through Inter-Rater Agreement process using an external human rater.

Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics

This paper proposes a novel framework to detect cyber-attacks using Machine Learning coupled with User Behavior Analytics.The framework models the user behavior as sequences of events representing the user activities at such a network.The represented sequences are thenfitted into a recurrent neural network model to extract features that draw distinctive behavior for individual users.Thus,the model can recognize frequencies of regular behavior to profile the user manner in the network.The subsequent procedure is that the recurrent neural network would detect abnormal behavior by classifying unknown behavior to either regu-lar or irregular behavior.The importance of the proposed framework is due to the increase of cyber-attacks especially when the attack is triggered from such sources inside the network.Typically detecting inside attacks are much more challenging in that the security protocols can barely recognize attacks from trustful resources at the network,including users.Therefore,the user behavior can be extracted and ultimately learned to recognize insightful patterns in which the regular patterns reflect a normal network workflow.In contrast,the irregular patterns can trigger an alert for a potential cyber-attack.The framework has been fully described where the evaluation metrics have also been introduced.The experimental results show that the approach performed better compared to other approaches and AUC 0.97 was achieved using RNN-LSTM 1.The paper has been concluded with pro-viding the potential directions for future improvements.

Multimodal integrated intervention for children with attentiondeficit/hyperactivity disorder

BACKGROUND Attention-deficit/hyperactivity disorder(ADHD)is one of the most common disorders in child and adolescent psychiatry,with a prevalence of more than 5%.Despite extensive research on ADHD in the last 10 to 20 years,effective treatments are still lacking.Instead,the concept of ADHD seems to have become broader and more heterogeneous.Therefore,the diagnosis and treatment of ADHD remains challenging for clinicians.AIM To investigate the effects of a multimodal integrated intervention for children with ADHD.METHODS Between March 2019 and September 2020,a total of 100 children with ADHD who were diagnosed and treated at our hospital were assessed for eligibility,two of whom revoked their consent.A case-control study was conducted in which the children were equally assigned,using a randomized number table,to either a medication group(methylphenidate hydrochloride extended-release tablets and atomoxetine hydrochloride tablets)or a multimodal integrated intervention group(medication+parent training+behavior modification+sensory integration therapy+sand tray therapy),with 49 patients in each group.The clinical endpoint was the efficacy of the different intervention modalities.RESULTS The two groups of children with ADHD had comparable patient characteristics(P>0.05).Multimodal integrated intervention resulted in a significantly higher treatment efficacy(91.84%)than medication alone(75.51%)(P<0.05).Children who received the multimodal integrated intervention showed lower scores in the Conners Parent Symptom Questionnaire and the Weiss Functional Impairment Rating Scale than those treated with medication alone(P<0.05).The Sensory Integration Scale scores of children in the multimodal integrated intervention group were higher than those of children in the medication group(P<0.05).Children who received the multimodal integrated intervention had higher compliance and family satisfaction and a lower incidence of adverse events than those treated with medication alone(P<0.05).CONCLUSION Multimodal integrated intervention effectively alleviated symptoms associated with ADHD in children.It enhanced their memory and attention with high safety and parental satisfaction,demonstrating good potential for clinical promotion.

Rational-emotive behavioral intervention helped patients with cancer and their caregivers to manage psychological distress and anxiety symptoms

There is a dearth of evidence-based data on how psychological distress and death anxiety symptoms experienced by cancer patients and caregivers are treated in developing regions. This article sheds light on the report of the findings from a 2016 study that revealed a rational-emotive behavioral intervention helped a select group of cancer patients and their family caregivers to manage problematic assumptions, psychological distress, and death anxiety symptoms in Nigeria.Based on my experience as a co-investigator and corresponding author of this previous study, I addressed the challenges of conducting such a study and the implications for future research in this article. This article encourages future researchers to replicate the study and endeavor to overcome the limitations of the previous study. Funders were also encouraged to ensure increased access to funds for conducting similar studies with cancer patients and their family caregivers in developing countries and other parts of the world.

The Research on E-mail Users' Behavior of Participating in Subjects Based on Social Network Analysis

The e-mail network is a type of social network. This study analyzes user behavior in e-mail subject participation in organizations by using social network analysis. First, the Enron dataset and the position-related information of an employee are introduced, and methods for deletion of false data are presented. Next, the three-layer model(User, Subject, Keyword) is proposed for analysis of user behavior. Then, the proposed keyword selection algorithm based on a greedy approach, and the influence and propagation of an e-mail subject are defined. Finally, the e-mail user behavior is analyzed for the Enron organization. This study has considerable significance in subject recommendation and character recognition.

Effects of a theory of planned behavior-based intervention on breastfeeding behaviors after cesarean section:A randomized controlled trial

Objectives:To examine the efficacy of an intervention based on the theory of planned behavior(TPB)in improving breastfeeding behavior among women with cesarean sections(C-sections).Methods:This research was a randomized controlled trial.Women with planned elective C-sections were recruited to participate in a randomized controlled trial between June and September 2020.One hundred thirty-two women were divided randomly into the intervention(n=66)and control group(n=66)by systematic random sampling.In the intervention group,an intervention project was implemented after Keywords:Breastfeeding Cesarean section Intervention studies Theory of planned behavior the C-section to establish positive breastfeeding attitudes,cultivate supportive subjective norms,enhance perceived behavioral control,and strengthen breastfeeding intention to change behaviors.Those in the control group received routine pre-and post-delivery care.Exclusive breastfeeding rate and breast problem were collected at 5 days,2 weeks,and 1 month after C-section.The modified Breastfeeding Attrition Prediction Tool(BAPT)on the first day in the hospital,two weeks,and one month after C-section and Numerical Rating Scale(NRS)24 h postoperatively were used to compare the intervention effect between the two groups.Results:After the intervention,the intervention group had significantly higher exclusive breastfeeding rates than the control group at five days(86.4%vs.60.6%),two weeks(77.3%vs.57.6%),and one month(74.2%vs.50.0%)after the C-section.Besides,the intervention group was less likely to have sore nipples at five days(6.1%vs.18.2%in the control group,P<0.05)and two weeks(9.1%vs.12.1%in the control group,P<0.05).After two weeks of intervention,attitude scores(90.64±8.31 vs.87.20±8.15,P<0.05),subjective norm scores(88.07±24.65 vs.79.42±19.47,P<0.05)and behavior control scores in the intervention group were significantly higher than those in the control group.After one month of intervention,attitude scores(90.34±10.35 vs.84.22±10.51,P<0.05)and behavior control scores(43.13±5.02 vs.39.15±4.69,P<0.05)in the intervention group were significantly higher than those in the control group,which resulted in the higher breastfeeding intention in the intervention group.Conclusion:This study indicated that the TPB-based interventions effectively improved women's breastfeeding behaviors after C-sections.

Evaluation of Microblog Users’ Influence Based on PageRank and Users Behavior Analysis

This paper explores the uses’ influences on microblog. At first, according to the social network theory, we present an analysis of information transmitting network structure based on the relationship of following and followed phenomenon of microblog users. Informed by the microblog user behavior analysis, the paper also addresses a model for calculating weights of users’ influence. It proposes a U-R model, using which we can evaluate users’ influence based on PageRank algorithms and analyzes user behaviors. In the U-R model, the effect of user behaviors is explored and PageRank is applied to evaluate the importance and the influence of every user in a microblog network by repeatedly iterating their own U-R value. The users’ influences in a microblog network can be ranked by the U-R value. Finally, the validity of U-R model is proved with a real-life numerical example.

Dysphagia and daily oral fluids among cerebrovascular stroke patients:an theory-based nursing intervention protocol

Objective:To evaluate the improvement of dysphagia and the daily amounts of oral fluids served among people who had recently experienced a cerebrovascular stroke(CVS)after applying a nursing intervention protocol.Methods:A quasi-experimental design was used to examine 60 stroke patients who were randomly and alternatively divided equally into a study group and a control group.Gugging Swallowing Screen(GUSS)and fluid balance chart were used.Within the first 24 h of a patient’s admission,expert nurses were trained in nursing intervention protocol to manage dysphagia and daily oral fluids.Results:Post-nursing intervention,the severity of dysphagia decreased among the study group more than in the control group.Additionally,the study group began taking greater amounts of fluids by the oral route than before the nursing intervention.Conclusions:A standardized nursing intervention protocol is needed to decrease the severity of dysphagia after CVS and increase the amount of daily oral fluids.The presence of a structured theory-based nursing intervention protocol for dysphagia management will greatly contribute to decreasing the consequences of dysphagia after CVS,and can also be expected to attenuate the effects of aspiration pneumonia,dehydration,and malnutrition;further,it also increases adherence to the protocol by both nurses and patients.

The Effect of Contact-Based Interventions on the Attitudes and Behaviors of Nursing Students towards People with Mental Illness: A Literature Review

Background: Student nurses and other healthcare students are the future mental health professionals and have the potential for changing the future of mental healthcare. Therefore, their negative attitudes and behaviors should be screened and corrected by effective anti-stigma interventions. Otherwise, they would likely withhold some health services and practice coercive treatments once planning care to people with mental illness. However, little is known on effective approaches to correct these negative attitudes and behaviors, despite the previous reviews that have shown that contact-based interventions have demonstrated positive attitudinal and behavioral changes for nursing students towards people with mental illness. Aim: The aim of this literature review was to compile the available research evidence on contact-based interventions that have targeted the attitudes and behaviors of nursing students towards people with mental illness. Methods: The relevant literature was extracted by searching electronic databases (MEDLINE, PsycINFO, and CINAHL) and by hand checking reference lists of past similar reviews. Results: Eleven studies were retrieved and included in this review. The included studies in this review either have employed social contact interventions, video-based social contact interventions, or both types for the aim of combining or comparing. Furthermore, the included studies either have targeted the attitudes of nursing students towards people with mental illness (including prejudice), or a combination of attitudinal and behavioral outcomes (including behavioral intentions and social distance). No studies have targeted behavioral outcomes solely. Conclusions: From the available literature, the current authors cannot draw conclusions on the most effective type, form, or ingredients of contact-based interventions among nursing students, as previous literature has large variations. No consistency was found in the previous studies regarding the types or contents of effective contact-based interventions. The compiled evidence in this review, has suggested that contact-based interventions (both social contact and video-based social contact) have been effective in changing the attitudes and behaviors of nursing students favorably, similarly to what previous reviews have found.

User Profile & Attitude Analysis Based on Unstructured Social Media and Online Activity

As social media and online activity continue to pervade all age groups, it serves as a crucial platform for sharing personal experiences and opinions as well as information about attitudes and preferences for certain interests or purchases. This generates a wealth of behavioral data, which, while invaluable to businesses, researchers, policymakers, and the cybersecurity sector, presents significant challenges due to its unstructured nature. Existing tools for analyzing this data often lack the capability to effectively retrieve and process it comprehensively. This paper addresses the need for an advanced analytical tool that ethically and legally collects and analyzes social media data and online activity logs, constructing detailed and structured user profiles. It reviews current solutions, highlights their limitations, and introduces a new approach, the Advanced Social Analyzer (ASAN), that bridges these gaps. The proposed solutions technical aspects, implementation, and evaluation are discussed, with results compared to existing methodologies. The paper concludes by suggesting future research directions to further enhance the utility and effectiveness of social media data analysis.

Exploring users' within-site navigation behavior:A case study based on clickstream data

Purpose:The goal of our research is to suggest specific Web metrics that are useful for evaluating and improving user navigation experience on informational websites.Design/methodology/approach:We revised metrics in a Web forensic framework proposed in the literature and defined the metrics of footprint,track and movement.Data were obtained from user clickstreams provided by a real estate site’s administrators.There were two phases of data analysis with the first phase on navigation behavior based on user footprints and tracks,and the second phase on navigational transition patterns based on user movements.Findings:Preliminary results suggest that the apartment pages were heavily-trafficked while the agent pages and related information pages were underused to a great extent.Navigation within the same category of pages was prevalent,especially when users navigated among the regional apartment listings.However,navigation of these pages was found to be inefficient.Research limitations:The suggestions for navigation design optimization provided in the paper are specific to this website,and their applicability to other online environments needs to be verified.Preference predications or personal recommendations are not made during the current stage of research.Practical implications:Our clickstream data analysis results offer a base for future research.Meanwhile,website administrators and managers can make better use of the readily available clickstream data to evaluate the effectiveness and efficiency of their site navigation design.Originality/value:Our empirical study is valuable to those seeking analysis metrics for evaluating and improving user navigation experience on informational websites based on clickstream data.Our attempts to analyze the log file in terms of footprint,track and movement will enrich the utilization of such trace data to engender a deeper understanding of users’within-site navigation behavior.

Behavioral Intervention Reduces Unhealthy Eating Behaviors in Preschool Children via a Behavior Card Approach

Many eating behaviors form in childhood,and some unhealthy behaviors may persist into adulthood and have potential impacts on people＇s health.This study evaluated the effectiveness of behavioral intervention in reducing consumption of Western fast food,sweetened beverages,fried food in preschool children,and changing parents＇ rewarding behaviors that encourage the consumption of the unhealthy foods.The research was a cluster randomized trial of seven kindergartens,involving 1138 children aged 3–6 years and their parents in Beijing,China.Parents and children allocated to the intervention group received two lectures and printed resources,including behavior cards,educational sheets.Children＇s behavior cards,applied with behavior-changing techniques,were used to intervene,and monitor behavior changes over time.Children in the control group just followed their usual health education curriculum in kindergartens.Intervention effects on food consumption behaviors were assessed by examining pre-and post-questionnaires.Of the 1138 children screened at baseline,880（77.3%） were measured at the end of the intervention period.The intervention lasted from March to June in 2010.The results showed that consumption of Western fast food,sweetened beverages,and fried food was decreased among the intervention group（P〈0.001）.Proportions of parents using Western fast food as rewards for their children were decreased（P=0.002）.From March to June 2010,the frequency of each target behavior in children tended to decrease over the intervention period（P〈0.001）.Most parents favored regularly-delivered behavior cards or materials for behavioral intervention.In conclusion,the behavioral intervention encourages the healthier eating behaviors of children and reduces the parents＇ practice of using unhealthy foods as reward.

Effects of comprehensive nursing with cognitive behavioral therapy in orthodontic osteodilated arch treatment

BACKGROUND This work explored the effects of cognitive behavior therapy(CBT)-based comprehensive nursing intervention(CNI)mode in arch expansion to treat patients with orthodontic osteodilated arch(OOA).AIM To explore the application effect of CBT-based CNI model in orthodontic expansion arch treatment.METHODS Using convenient sampling method,81 patients with OOA were selected and rolled into a control group(Ctrl group,40 cases)and an observation group(Obs group,41 cases).During the treatment,patients in the Ctrl group received routine nursing intervention mode,and the those in the Obs group received CBT mode on the basis of this.Before and after intervention,the incidence of oral mucositis,the mastery rate of correct arch expansion method,self-rating anxiety scale score,soft scale index,and plaque index were compared for patients in different groups.In addition,satisfaction and complications were comparatively analyzed.RESULTS Incidence of oral mucositis in the Obs group was lower(14.6%vs 38.5%),and the mastery rate of correct arch expansion method was obviously higher(90.2%vs 55.0%)was obviously higher(all P<0.05).Meanwhile,the soft scale index and plaque index in the Obs group were much lower(P<0.05).The compliance(90.24%)and satisfaction(95.12%)in the Obs group were greatly higher(P<0.05).CONCLUSION The CBT-based CNI mode greatly improved the mastery rate of correct arch expansion method during arch expansion in treating patients with OOA and enhanced the therapeutic effect of arch expansion and the oral health of patients,improving the patient compliance.

Database Search Behaviors: Insight from a Survey of Information Retrieval Practices

This study examines the database search behaviors of individuals, focusing on gender differences and the impact of planning habits on information retrieval. Data were collected from a survey of 198 respondents, categorized by their discipline, schooling background, internet usage, and information retrieval preferences. Key findings indicate that females are more likely to plan their searches in advance and prefer structured methods of information retrieval, such as using library portals and leading university websites. Males, however, tend to use web search engines and self-archiving methods more frequently. This analysis provides valuable insights for educational institutions and libraries to optimize their resources and services based on user behavior patterns.

Government intervention model based on behavioral heterogeneity for China’s stock market

Active government intervention is a striking characteristic of the Chinese stock market.This study develops a behavioral heterogeneous agent model(HAM)comprising fundamentalists,chartists,and stabilizers to investigate investors’dynamic switching mechanisms under government intervention.The model introduces a new player,the stabilizer,into the HAM as a proxy for the government.We use the model to examine government programs during the 2015 China stock market crash and find that it can replicate the dynamics of investor sentiment and asset prices.In addition,our analysis of two simulations,specifically the data-generating processes and shock response analysis,further corroborates the key conclusion that our intervention model not only maintains market stability but also promotes the return of risk asset prices to their fun-damental values.The study concludes that government interventions guided by the new HAM can alleviate the dilemma between reducing price volatility and improving price efficiency in future intervention programs.