MAIPFE:An Efficient Multimodal Approach Integrating Pre-Emptive Analysis,Personalized Feature Selection,and Explainable AI

Medical Internet of Things(IoT)devices are becoming more and more common in healthcare.This has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized way.Existing methods,while useful,have limitations in predictive accuracy,delay,personalization,and user interpretability,requiring a more comprehensive and efficient approach to harness modern medical IoT devices.MAIPFE is a multimodal approach integrating pre-emptive analysis,personalized feature selection,and explainable AI for real-time health monitoring and disease detection.By using AI for early disease detection,personalized health recommendations,and transparency,healthcare will be transformed.The Multimodal Approach Integrating Pre-emptive Analysis,Personalized Feature Selection,and Explainable AI(MAIPFE)framework,which combines Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means(FCM),and Explainable AI,improves disease detection precision over existing methods.Comprehensive metrics show the model’s superiority in real-time health analysis.The proposed framework outperformed existing models by 8.3%in disease detection classification precision,8.5%in accuracy,5.5%in recall,2.9%in specificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay reduction.Disease prediction precision increased by 4.5%,accuracy by 3.9%,recall by 2.5%,specificity by 3.5%,AUC by 1.9%,and delay levels decreased by 9.4%.MAIPFE can revolutionize healthcare with preemptive analysis,personalized health insights,and actionable recommendations.The research shows that this innovative approach improves patient outcomes and healthcare efficiency in the real world.

A Psychological Analysis of Laura's Personality in Katherine Mansfield's The Garden Party

This paper explores Laura's inner world, applying Freud's theory of the unconscious and the structure of the mind,Jung's idea of archetypes, and Lacan's concepts of the three orders. The story in The Garden Party depicts, in the movement toward adulthood, how Laura feels, thinks and acts under the drive of the id, and the adjustment of the ego and the superego. Laura's psychological development indicates Laura has a healthy personality. She can confront her imperfection in her growth.

Sub-Grouping Healthy Subjects’ Sensitivity to Pain and Its Relationship to Personality Traits: Results of a Cluster Analysis

Objective: Individual differences in the sensitivity to pain and the factors that may contribute to these differences are well studied. Nevertheless, there is no single test that can reliably classify subjects as being sensitive or insensitive to pain. Methods: In the present study, hierarchical clustering and K-means cluster analysis was used to identify subgroups among 191 healthy subjects (105 females, 86 males) according to their sensitivity to pain. Group determination was based on the subjects’ response to experimental noxious stimuli of heat (pain intensity), cold (cold pain threshold, tolerance, and intensity), and conditioned pain modulation (CPM, tested by co-administering repeated short painful heat stimuli and a conditioning tonic cold pain stimulation). In addition, in order to determine if the subjects in these subgroups differed on personality traits scores on Cloninger’s Tridimensional Personality Questionnaire (TPQ, outcome measure) for the three dimensions of personality: Novelty Seeking (NS);Harm Avoidance (HA);and Reward Dependence (RD) were calculated. Results: Based on pain scores, subjects were grouped as low pain (57%) with a low level of sensitivity in pain parameters, or high pain (43%) cluster members. The high pain had significant higher scores of HA (p = 0.05) and RD (p = 0.05) than the low pain group. Conclusions: This method of sub-grouping may be useful for identifying the mechanisms underlying individual variability in the sensitivity to pain and may point to groups at risk for experiencing high levels of clinical pain.

Deep Bimodal Fusion Approach for Apparent Personality Analysis

Personality distinguishes individuals’ patterns of feeling, thinking,and behaving. Predicting personality from small video series is an excitingresearch area in computer vision. The majority of the existing research concludespreliminary results to get immense knowledge from visual and Audio(sound) modality. To overcome the deficiency, we proposed the Deep BimodalFusion (DBF) approach to predict five traits of personality-agreeableness,extraversion, openness, conscientiousness and neuroticism. In the proposedframework, regarding visual modality, the modified convolution neural networks(CNN), more specifically Descriptor Aggregator Model (DAN) areused to attain significant visual modality. The proposed model extracts audiorepresentations for greater efficiency to construct the long short-termmemory(LSTM) for the audio modality. Moreover, employing modality-based neuralnetworks allows this framework to independently determine the traits beforecombining them with weighted fusion to achieve a conclusive prediction of thegiven traits. The proposed approach attains the optimal mean accuracy score,which is 0.9183. It is achieved based on the average of five personality traitsand is thus better than previously proposed frameworks.

Correlation analysis of mental health conditions and personality of patients with alcohol addiction

BACKGROUND Alcohol addiction,or alcohol dependence,refers to a psychological state of strong craving for alcohol caused by drinking when both the drinking times and alcohol consumption reach a certain level.Alcohol addiction can cause irreversible damage,leading to mental illness or mental disorders,negative changes in their original personality,and a tendency to safety incidents such as committing suicide or violent attacks on others.Significant attention needs to be given to the mental health of alcohol addicts,which could reflect their abnormal personality traits.However,only a few papers on this issue have been reported in China.AIM To investigate the correlation between mental health and personality in patients with alcohol addiction.METHODS In this single-center observational study,we selected 80 patients with alcohol addiction as the research subjects,according to the criteria of the K10 scale to evaluate the mental health of patients with alcohol addiction,and divided these patients into four groups based on the evaluation results:Good,average,relatively poor and bad.And then analyzed the correlation between mental health conditions and personality characteristics from these four groups of patients.RESULTS The average score of the K10 scale(Kessler 10 Simple Psychological Status Assessment Scale)in 80 patients with alcohol addiction was 25.45 points,the median score was 25 points,the highest score was 50 points,and the lowest score was 11 points.Pearson's analysis showed that the K10 score was positively correlated with the scores of these two subscales,such as the P-subscale and the N-subscale(P<0.05).In contrast,the K10 score had no significant correlation with the scores from the E-subscale and the L-subscale(P>0.05).CONCLUSION The mental health conditions of patients with alcohol addiction are positively correlated with their personality characteristics.

Constitutional Analysis of the Personality Theory of Civil Law

The word"personality"has various connotations,which essentially reflect people’s thoughts on personality in different periods.The transformation of personality in a civil aspect to the personality on the constitution aspect has negative effect on the personality system of the civil,which is of great value to develop the civil personality rights system in order to facilitate the connection between the civil law,the constitution and the public law.The capacity for rights not only separates the relative independent personality rights of civil law from the personality system of Roman law,but also promotes the emergence of the constitutional personality rights and its return in the field of civil law.The nature and orientation of personality rights in civil law has an important influence on civil legislation.There are three ways to realize the constitutional rights of personality in our civil law:civil legislation,constitutional interpretation and general personality rights.

Correlation of personality with individual reproductive success in shrub-nesting birds depends on their life history style

Two questions in the research of animal personality—whether there is a correlation between a personality trait and individual reproductive success,and what is the genetic basis underlying a personality trait—remain unresolved.We addressed these two questions in three shrub-nesting birds,the Azure-winged Magpie(Cyanopica cyanus,AM),White-collared Blackbird(Turdus albocinctus,WB),and Brown-cheeked Laughingthrush(Trochalopteron henrici,BL).The personality type of an individual was first identified according to its response to a territorial intruder.Then,we compared the fleeing distance,breeding parameters,and differential expressed genes(DEGs) in the brain transcriptome between bold and shy breeders.In the three species,bold breeders exhibited more aggressiveness towards an intruder of their territory than did shy breeders.The reproductive success of bold breeders was significantly higher than that of shy breeders in AM but not in WB and BL.The three species shared one DEG,crabp1,which was up-regulated in bold relative to in shy individuals.By regulating the expression of corticotropin-releasing hormone,higher crabp1 gene expression can decrease cellular response to retinoic acid.Therefore,bold individuals are insensitive to external stresses and able to exhibit more aggressiveness to intruders than their shier counterparts.Aggressiveness is beneficial to bold individuals in AM but not in WB and BL because the former could evoke neighbors to make the same response of defending against intruders but the latter could not.Although a personality trait may have the same genetic basis across species,its correlation with reproductive success depends largely on the life history style of a species.

A Method for Service-Oriented Personalized Requirements Analysis

The development of Web service has changed the process of software production, and requirements engineering becomes the key issue of service-oriented software engineering. Meantime, it reduces the degree of difficulty of software production, which facilitates end-users to customize software according to their personalized requirements. The paper proposes a method for service-oriented personalized requirements analysis, which is based on domain goal model and process model. The method can inform users of potential errors in requirements by detecting the correctness of requirements, which is driven by users’ personalized operations on goal models, and customize personalized processes to satisfy users’ requirements by reusing domain processes. The personalized processes are the basis for Web service discovery and composition.

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.

The Impact of Big Five Personality Traits on Older Europeans’ Physical Health

Investigating the role of Big Five personality traits in relation to various health outcomes has been extensively studied. The impact of “Big Five” on physical health is here explored for older Europeans with a focus on examining age groups differences. The study sample included 378,500 respondents derived from the seventh data wave of Survey of Health, Aging and Retirement in Europe (SHARE). The physical health status of older Europeans was estimated by constructing an index considering the combined effect of well-established health indicators such as the number of chronic diseases, mobility limitations, limitations with basic and instrumental activities of daily living, and self-perceived health. This index was used for an overall physical health assessment, for which the higher the score for an individual, the worst health level. Then, through a dichotomization process applied to the retrieved Principal Component Analysis scores, a two-group discrimination (good or bad health status) of SHARE participants was obtained as regards their physical health condition, allowing for further con-structing logistic regression models to assess the predictive significance of “Big Five” and their protective role for physical health. Results showed that neuroti-cism was the most significant predictor of physical health for all age groups un-der consideration, while extraversion, agreeableness and openness were not found to significantly affect the self-reported physical health levels of midlife adults aged 50 up to 64. Older adults aged 65 up to 79 were more prone to open-ness, whereas the oldest old individuals aged 80 up to 105 were mainly affected by openness and conscientiousness. .

English Classroom Discourse Analysis: Based on the Interpersonal Meta-function

Classroom discourse analysis plays a significant role in linguistics and language teaching. The present research is a case study, aiming to explore how the Interpersonal meta-function is reflected in the English classroom discourse, as well as to provide some suggestions for pedagogical improvement based on the findings. The results of the analysis indicate that in terms of Mood, the declarative clause is most frequently used, followed by the interrogative and imperative clause respectively; in terms of modality, the teacher uses modal verbs and Mood Adjuncts to express the degree of certainty; in terms of personal pronouns, the teacher prefers to use the first person plural pronouns. It is suggested that the class should be student-centered and that an equal teacher-student relationship should be established.

Error Analysis of Personal Pronouns Use in English Writing of Junior High School Students:With the Tutored Students as Subjects

In recent years,analyses of linguistic errors in junior high English writing have been widely carried out in China.However,those studies that specialize in the misuse of personal pronouns are relatively rare.On the basis of Error Analysis theory,this paper regarded the tutored six students in Grade 8 by the author as the subjects, summarized three types of errors in personal pronouns use and their causes by analyzing subjects’writing samples and conducting interviews,and finally put forward some suggestions so as to contribute to the teaching and learning of junior high English writing.

Analysis of the Scope of "Protected Persons" in the Fourth Geneva Convention of 1949

As the core of the International Humanitarian Law, the Geneva Conventions of 1949 have just celebrated their 61st anniversary. Here after a brief historic background introduction, the writer detailed analyzed the definition,

A Contrastive Analysis of Interpersonal Meaning of Chinese and English Cosmetic Advertising Texts

Based on the theoretical framework of Halliday’s interpersonal function,this thesis studies the contrast between Chinese and English cosmetic advertising texts.The author chooses thirty Chinese texts and thirty English texts from famous top magazines as the materials of this study.These samples will be discussed in four perspectives:mood,modality,tense and person systems.There are two main purposes of the study:1)to prove the operability and feasibility in cosmetic advertising texts of Chinese and English from the aspect of interpersonal function.2)to give useful suggestions for composing Chinese and English cosmetic advertisements in the future.

Comparison between Eating Habits Improvement by Using the Caloric-Tofu and Gene Analysis Result—For Young People

The previous paper by Naomi Katayama et al. reported the effect of high caloric-tofu on elderly people. The body composition was improved by elderly people eating high caloric-tofu for 2 months. Elderly people decreased body fat and increased body protein. Therefore, in this research, we decided to investigate young people who can improve body composition by eating high caloric-tofu for 2 months. The twenty-two young people (19 men, 3 women: from age 19 years old to 22 years old) who submitted the written consent of the subject participated in this study. We performed the gene analysis (β3AR, UCP1,β2AR) of the subject. The subject lived a normal life every day. The subject had eaten two caloric-tofu a day. A caloric-tofu has 100 kcal. The subject participated in a study for two months. As for the subject, body composition was measured on the first day and the last day of the study. A result, skeletal muscle rates of fifteen people increased, and a fat rate decreased. However, five people changed into neither the skeletal muscle rate nor the fat rate. People who were effective by this experiment were the people who had variation in β2AR, and people among whom there was not an effect were the people who had variation in UCP1. This experiment had little number of the data, but it was revealed that an intake of the caloric-tofu was more likely to help the reinforcement of the skeletal muscle mass to a participant with the variation in β2AR gene. It will be necessary to increase the number of participants more, and to examine it in detail in future. We also need to investigate a wide range of age groups. We thought in future that an effect might appear by doing nourishment instruction based on a result of the gene analysis.

Personality Detection Using Context Based Emotions in Cognitive Agents

Detection of personality using emotions is a research domain in artificial intelligence.At present,some agents can keep the human’s profile for interaction and adapts themselves according to their preferences.However,the effective method for interaction is to detect the person’s personality by understanding the emotions and context of the subject.The idea behind adding personality in cognitive agents begins an attempt to maximize adaptability on the basis of behavior.In our daily life,humans socially interact with each other by analyzing the emotions and context of interaction from audio or visual input.This paper presents a conceptual personality model in cognitive agents that can determine personality and behavior based on some text input,using the context subjectivity of the given data and emotions obtained from a particular situation/context.The proposed work consists of Jumbo Chatbot,which can chat with humans.In this social interaction,the chatbot predicts human personality by understanding the emotions and context of interactive humans.Currently,the Jumbo chatbot is using the BFI technique to interact with a human.The accuracy of proposed work varies and improve through getting more experiences of interaction.

The Relationship between Mental Disorders and Personality of Outpatients in a Psychiatric Clinic in Nanjing, China

Psychosis has increasingly become a social problem,emphasizing the need to understand the relationship between mental disorders and personality.This study aimed to investigate the relationship between mental disorders and personality among psychiatric outpatients based on real-world data.Symptom Checklist 90(SCL-90)and Eysenck Personality Questionnaire(EPQ)were used to evaluate the personality and psychopathological symptoms of patients(n=8409)in the Psychiatric Outpatient Department at Nanjing Drum Tower Hospital.t-test was used to compare scores between patients and national norms.Pearson’s correlation coefficient and path analysis were used to explore the relationship between mental health status and personality.The correlation coefficient between the neuroticism(N)score and each factor score of the SCL-90 test,as well as the correlation between psychoticism(P)and hostility and paranoia,exceeded 0.4.Path analysis revealed that the standardized path coefficients of N score and SCL-90 were all higher than 0.4.In addition,the standardized path coefficient of hostility and paranoia on P score were 0.313 and 0.280,respectively.Interpersonal sensitivity,depression and obsessive-compulsive symptoms were affected by extraversion(E)score,with standardized path coefficients of-0.149,-0.138,and-0.105,respectively.The path analysis also showed the direct and indirect effects of age,gender,education,and marital status on SCL-90.Patients characterized as melancholic had higher scores in all factors of SCL-90.In conclusion,mental health was related to personality traits of neuroticism,psychoticism and introversion.

Vocational School Students With Five-Factor Model of Personality Determination of Personality Profile

Personality refers to the integration of feelings, thoughts, and behaviors specific to individual. The fact that personality has a distinguishing feature among individuals explains different behaviors of individuals against events and situations. This arises from the fact that personality is specific to individual and is affected by the effects of many factors with which it interacts, and from the integration of them. In this context, this research is based on the hypothesis that there is a relationship between vocs.tionai school students＇ demographic features including their family, socio-culture, geographical environments （gender, age, department, grade, parental education, number of siblings, birth order in the family, and the family＇s income levels）, and the personality profiles. The research was carded out as part of five-factor model of personality in an attempt to determine whether vocational school students＇ personality profiles vary according to demographic variables and to reveal the relationship between them. The research sample consisted of 220 students selected from the students studying in Altmta~ Vocational School in the Spring Term of the 2013-2014 Academic Year. Data were analyzed via SPSS 15.0 statistical package program by performing t-test, analysis of variance and logistic regression analysis. While a significant difference was found between students＇ five-factor personality profiles according to gender, age, department, average, father＇s education, and the number of siblings, no significant difference was found among grade, mother＇s education, birth order in the family, and income levels. Moreover, independent variables affecting students＇ academic averages were determined as a result of the logistic regression analysis.

Concept analysis of nurse burnout

Objective:To explore the concept of burnout among nurses.Through this concept analysis would expect in assisting hospital management departments in establishing supportive programmes to manage burnout of nurses.Method:Walker and Avant’s framework is adopted for the concept analysis of burnout.Results:Burnout is a syndrome that can happen among helping professions which characterized as emotional exhaustion,depersonalization,and reduced personal accomplishment.The antecedents of burnout are cognitive-competence,role overload,role conflict,lack of social support,and rewards.On the other hand,the consequences of burnout could be both personal and organizational,such as sub-clinical issues,behavioral change,absenteeism,and poor quality of care.Conclusion:The analysis of burnout on its attributes,together with antecedents and consequences(Appendix A)and presenting with case study,it may help the nurse to gain a better understanding of nurse burnout and build coping strategies.