A Personalized Search Model Using Online Social Network Data Based on a Holonic Multiagent System

Personalized search utilizes user preferences to optimize search results,and most existing studies obtain user preferences by analyzing user behaviors in search engines that provide click-through data.However,the behavioral data are noisy because users often clicked some irrelevant documents to find their required information,and the new user cold start issue represents a serious problem,greatly reducing the performance of personalized search.This paper attempts to utilize online social network data to obtain user preferences that can be used to personalize search results,mine the knowledge of user interests,user influence and user relationships from online social networks,and use this knowledge to optimize the results returned by search engines.The proposed model is based on a holonic multiagent system that improves the adaptability and scalability of the model.The experimental results show that utilizing online social network data to implement personalized search is feasible and that online social network data are significant for personalized search.

A Comparative Study of Quality of Family, Social Relationships and Type D Personality in Cardiovascular Patients and Non-Patients

This study aims to compare the quality of family and social relationships and Type D personality in cardiovascular patients with normal people. In this research, 300 individuals (n = 150 male, 150 female) are divided in two groups of patient (n = 150) and non-patients (n = 150) were selected as samples from the author’s offices (both private and his office in Mazandaran Heart Center). They attended in this study filling the questionnaires of “Pierce Quality relations” and “Personality Inventory (DS14)”. In order to analyze data, First observations were described by the help of descriptive statistics methods including tables, graphs, and indices of central tendency and distribution. Then, observations were described by inferential statistics methods such as univariate and multivariate analysis of variance and then were analyzed by SPSS. Out of the 300 participants, 108 patients (36%) had the mean age of 52 to 63 years old and 30 patients (10%) were 30 to 40 years old. This study showed that there is a significant difference between cardiovascular patients and control group in terms of quality of family and social relationships and Type D personality (P < 0.01). Cardiovascular patients have lower quality of family and social relationships, social support, as well as lower depth of relationships, and also higher relationship conflict than normal people. Also cardiovascular patients have higher type D personality than normal people (P < 0.01). In general, research findings indicate the importance of psychological factors associated with coronary artery disease.

Social and Personal Determining Factors in the Results on Contents of Food Handlers’ Formation Plans

This study has two main objectives: on one hand, the evaluation of food items related to the food training courses in order to know which ones require better explanations from trainers and a further development and refinement by food handlers. It is also a goal of this work to appreciate the level of general knowledge of food handlers before receive any training session and then see if there was some improvement after the course. On the other hand, identifying potential social and personal factors of food handlers that influence on the results of the evaluation. To this end, two tests were performed (one before the training and at the end) and evaluated the results per modules. In general, knowledge levels both initially and after taking the course proved to be satisfactory. Personal and social factors determined better or worse scores on the basis of these.

Recommending Personalized POIs from Location Based Social Network

Location based social networks（ LBSNs） provide location specific data generated from smart phone into online social networks thus people can share their points of interest（ POIs）. POI collections are complex and can be influenced by various factors,such as user preferences,social relationships and geographical influence. Therefore,recommending new locations in LBSNs requires to take all these factors into consideration. However,one problem is how to determine optimal weights of influencing factors in an algorithm in which these factors are combined. The user similarity can be obtained from the user check-in data,or from the user friend information,or based on the different geographical influences on each user＇s check-in activities. In this paper,we propose an algorithm that calculates the user similarity based on check-in records and social relationships,using a proposed weighting function to adjust the weights of these two kinds of similarities based on the geographical distance between users. In addition,a non-parametric density estimation method is applied to predict the unique geographical influence on each user by getting the density probability plot of the distance between every pair of user＇s check-in locations. Experimental results,using foursquare datasets,have shown that comparisons between the proposed algorithm and the other five baseline recommendation algorithms in LBSNs demonstrate that our proposed algorithm is superior in accuracy and recall,furthermore solving the sparsity problem.

Sensitivity of Personal Account Accumulated Value of New Rural Social Pension Insurance to Variation of Uncertainties

The personal account of new rural social pension insurance raises funds in the form of individual premium-paying,collectively pooled subsidy and government subsidy.The personal account accumulated value has a decisive influence on the payment level of personal account pension.The personal account accumulated value has a direct or indirect relationship with the income level of farmers,premium-paying level,the insured period,investment return rate of funds and other factors.Analysing the impact of infinitesimal variation of these factors on accumulated value of personal account pension,is of great significance to improving and consolidating personal account,and achieving sustainable development of new rural social pension insurance.

Path analysis of relationship among personality, perceived stress, coping, social support, and psychological outcomes

AIM: To provide a structural model of the relationship between personality traits, perceived stress, coping strategies, social support, and psychological outcomes in the general population.METHODS: This is a cross sectional study in which the study group was selected using multistage cluster and convenience sampling among a population of 4 million. For data collection, a total of 4763 individuals were asked to complete a questionnaire on demographics, personality traits, life events, coping with stress, social support, and psychological outcomes such as anxiety and depression. To evaluate the comprehensive relation-ship between the variables, a path model was fitted.RESULTS: The standard electronic modules showed that personality traits and perceived stress are important determinants of psychological outcomes. Social support and coping strategies were demonstrated to reduce the increasing cumulative positive effects of neuroticism and perceived stress on the psychological outcomes and enhance the protective effect of extraversion through decreasing the positive effect of perceived stress on the psychological outcomes. CONCLUSION: Personal resources play an important role in reduction and prevention of anxiety and depression. In order to improve the psychological health, it is necessary to train and reinforce the adaptive coping strategies and social support, and thus, to moderate negative personality traits.

Perspectives for Sharing Personal Information on Online Social Networks

The goal of this research was to study how people feel about sharing personal information on social networks. The research was done by interviews;50 people were interviewed, mostly from China's Mainland, Hong Kong, and Finland. This paper presents the included 12 questions and discusses the collected answers. It was discovered, e.g., that 38 out of the 50 answerers use social media every day and share versatile personal information on the Internet. Half of the answerers also share information about other people on the Internet. It was also discovered that compared to male answerers, the female answerers were more active in sharing information about other people. There was a significant variety in opinions: what should be the age limit for sharing personal information online, while 22 out of the 50 answerers felt that there is no need for an age limit at all. According to the answers, only a few people use social media for making new friends. Instead, an important reason for using social media is that their existing friends are using. An interesting finding was that the answerers see the Internet as a part of the real world;the privacy that you have on the Internet is the privacy that you have in the real world.

A Study of the Impact of Personality and Social Psychology on Mental Health

With the continuous development and progress of economy,people's living standard and culture level have been improved,but with it,there are also various kinds of life stress,study stress and work stress,which make people's mental health problems in life more andmore prominent,and how to improve students'mental health level is the main task of each education stage.The current psychology discipline system has been perfected,including personality psychology and social psychology,which are effectively applied in the actual mental health education or psychological guidance work,and are key disciplines to improve people's mental health.The theoretical system of personality and social psychology consists of three theories:the theory of planned behavior,the theory of explanatory levels,and the theory of self-determination,all of which have an irreplaceable influence on mental health.In this regard,this paper combines relevant literature and work experience to study in depth the influence of personality ansocial psychology on mental health.

Psychosocial and Sociodemographic Predictors of Depression among Older Persons in Jordan

The average annual growth rate for the ageing population is increasing considerably. The purpose of this study is to examine the psychosocial predictors of depression among older persons in Jordan. Methods: A quantitative approach using cross-sectional, descriptive-correlational design was used to carry out on a nationally representative, stratified multistage clustered area probability sample of non-institutionalized adults (aged ≥ 60 years). Data collected using self-report (structured format) of data collection. Data collected in regards to depression, social support, life satisfaction, and psychological distress. Results: About 55.5% of the participants have none to slight depressive symptoms, 22% of them have mild depressive symptoms, 17.3% of them have moderate depressive symptoms, and only 5.2% of them have severed depressive symptoms. Older persons have moderate levels of life satisfaction, perceived social support and psychological distress. Type of diagnosis was not a significant predictor of depressive symptoms as it was in model 1 while working status and marital status remained significant predictors. In addition, perceived social support total (β = -1.98, 0.016), psychological distress (β = 0.465, β = -0.284, <0.001) were significant predictors of depressive symptoms. Conclusion: Effective, community-level primary mental health care for older people is crucial, and its recommended to equally focus on the long-term care of older adults suffering from mental health problems, as well as to provide caregivers with education, training and support.

Recommending Who to Follow on Twitter Based on Tweet Contents and Social Connections

In this paper, we examine methods that can provide accurate results in a form of a recommender system within a social networking framework. The social networking site of choice is Twitter, due to its interesting social graph connections and content characteristics. We built a recommender system which recommends potential users to follow by analyzing their tweets using the CRM114 regex engine as a basis for content classification. The evaluation of the recommender system was based on a dataset generated from real Twitter users created in late 2009.

Insights into the Social Determinants of Health in Older Adults

In this paper, we review the social determinants of health in older adults and their complex interrelationship with medical diseases. Also, we provide recommendations to address these determinants in the integrated healthcare plan. The social determinants in older adults and its influence in health outcomes have been studied for decades. There is solid evidence for the interrelationship between social factors and the health of individuals and populations;however, these studies are unable to define their complex interrelatedness. Health is quite variable and depends on multiple biological and social factors such as genetics, country of origin, migrant status, etc. On the other hand, health status can affect social factors such as job or education. Addressing social determinants of health in the integrated healthcare plan is important for improving health outcomes and decreasing existing disparities in older adult health. We recommend a person-centered approach in which individualized interventions should be adopted by organizations to improve the health status of older adults at the national and global level. Some of our practical recommendations to better address the social determinants of health in clinical practice are EHR documentation strategies, screening tools, and the development of linkages to the world outside of the clinic and health system, including social services, community activities, collaborative work, and roles for insurance companies.

The Mental Protection System for Protective Behaviors: The Social Brain and the Mental Immune System

The physical protection system of the body consists of the protective organs for vulnerable body parts-functions and the protective countermeasures against invaders (pathogens), but to survive, the body also requires the protective social groups for vulnerable social members-functions and the protective instinctive mental countermeasures against adversities such as hardship, danger, and unfamiliarity-uncertainty. As a result, this paper proposes that the mental protection system of the body consists of the social brain to set up the protective social groups for vulnerable social members-functions and the mental immune system to produce the protective mental countermeasures against adversities. This paper proposes that from the social brain, the protective social groups include alliance group for vulnerable individuals, kinship-friendship group for vulnerable children, interdependent specialists group for vulnerable pregnant females, territorial group for social boundary, connective group for social connection, and competitive group for social competition. From the mental immune system, the mental protective countermeasures include comforter against hardship, hyperactivity against danger, phobia against unfamiliarity-uncertainty, and rationality against unfamiliarity-uncertainty. The overactive mental immune system causes mental allergies and auto immune diseases as personality-mental disorders against ubiquitous harmful and harmless perceived adversities, correlating to physical allergies and auto immune diseases against ubiquitous harmful and harmless detected invaders. The mental protection system also produces personality traits, social moralities, social organizations, social systems, religions, and cultures as described in this paper. The mental protective system is the source of protective behaviors.

我国残疾人社会保障与关爱服务的系统性优化研究——以需要为本的社会政策为视角

我国残疾人社会政策进入优化发展新阶段,将系统思维贯彻至残疾人社会政策优化是现实所需。文章提出残疾人社会政策以需要为本的目标导向,聚焦社会保障制度和关爱服务体系的目标集成、政策集成,推动残疾人兜底型和发展型社会政策的效果集成,进一步提出建立健全残疾人家庭需求的多维识别和综合研判机制、持续追踪和动态预警机制,并围绕残疾人家庭的能力提升、残疾人关爱共同体建设这两个重点,来促进残疾人社会政策的协同。

On the Role of Confucian Ethical Thoughts in the Formation of Psychological Personality

As the mainstream ideology in the traditional Chinese social structure,Confucian ethical thoughts have existed for a long time and influenced the social ethical structure and the formation of cultural psychology and personality of Chinese people significantly.Taking the internal relation of the role of Confucian ethical thoughts in the formation of personality as a point of penetration,this paper discusses the internal relation between the shaping of social consciousness by Confucian ethical thoughts and the formation of personality as well as its influence mode,revealing the construction process of psychological personality by Confucian culture.On this basis,we explore the advantages of Confucian social ethics by making full use of its positive factors and promote the improvement of individual's personality with social psychology.

社会交互成本理论与社会信用法的法理重构

社会信用体系建设探索实践面对法治拷问,社会交互成本理论对社会信用法治之路将如何前行进行了回应。该理论通过揭示和描述社会信用机制的内在规律,对我国社会信用体系建设当前实践给出了学理解读。在社会交互成本理论看来,社会信用建设现有的法治探索经验显示,社会信用法在法律的调整对象等一系列方面已然显现新的特征,以“行为本位”为前提的法理思维已经无法涵括社会信用法领域出现的新的法律现象。在依据社会交互成本理论形成的法理观念看来,社会信用法的调整对象已不只是信用行为,而是信用行为习惯及其背后的社会关系;调整手段不只是国家的强制力,而是国家强力规制与社会自我管理有机融合;调整方式不再是单纯的负面惩戒,而是以正向调整鼓励守信为主。

An Analysis on Heathcliff's Dual Personality

Wutering Heights is an exceptionally successful novel written by Emily Bronte. The novel is organized by the love between Heathcliff and Catherine. This thesis attempts to analyze the dual personality of Heathcliff. Through the journey of love, revenge, death and restoration of humanity, his character is influenced by both his own characteristics and social environment.

Social Dimensions of Musculoskeletal Pain Experiences among the Elderly in Southwestern Nigeria

Musculoskeletal pain (MS pain) in the elderly has attracted more medical focus than its social dimensions. This cross-sectional survey design study, conducted in southwestern Nigeria, through a multi-stage sampling technique, documented reported MS pain in 1280 consented elderly using 3-scale pain experiences categorized as acute, semi-acute, and chronic. Also, 12 In-depth Interviews (IDIs) among elderly persons, and 15 Key Informant Interviews (KIIs) among orthodox- and traditional medicine practitioners were conducted. The age of the respondents was 65.5 ± 4, while about half (51.1%) had no formal education. Majority (76.8%) of the respondents perceived MS pain as normal process of old age. Occupational life history of the respondents ranked the highest as perceived reason for having MS pain, while the knees (19.6%) were the most identified pained location among others in the body. A high significant relationship between neck and shoulders pain (χ2 = 0.000) was however found. Social construction dimensions of the elderly were narrated, while MS pain was considered as sickness of the elders. There is need for orientation for the elderly and their helpers on the social dimensions of old age relative to Nigeria.

Experiences of Social Isolation in Older Hospitalized Patients with COVID-19 and Their Close Relatives: A Qualitative Study

Background: Proximity between older patients and their close relatives is essential during hospitalisation. During the first wave of the pandemic, the Danish Patient Safety Authority restricted no hospital visitors. Aim: To explore how older patients with COVID-19 and their close relatives experienced physical separation during hospitalization. Method: A qualitative study using semi-structured interviews and thematic analysis was employed. Findings: Six interviews were conducted: three patients with a mean age of 81 years and three close relatives—two daughters and one spouse. The patients felt boredom, loneliness, and a sense of imprisonment, yet they felt safe and satisfied. Isolation was known beforehand from the media. Close relatives emphasised that information, involvement, and collaboration with hospital staff were crucial. Conclusion: Although older patients with COVID-19 and their close relatives widely accept their situation during hospitalization, they experience negative consequences from social isolation.