Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System

Mobile networks possess significant information and thus are considered a gold mine for the researcher’s community.The call detail records(CDR)of a mobile network are used to identify the network’s efficacy and the mobile user’s behavior.It is evident from the recent literature that cyber-physical systems(CPS)were used in the analytics and modeling of telecom data.In addition,CPS is used to provide valuable services in smart cities.In general,a typical telecom company hasmillions of subscribers and thus generatesmassive amounts of data.From this aspect,data storage,analysis,and processing are the key concerns.To solve these issues,herein we propose a multilevel cyber-physical social system(CPSS)for the analysis and modeling of large internet data.Our proposed multilevel system has three levels and each level has a specific functionality.Initially,raw Call Detail Data(CDR)was collected at the first level.Herein,the data preprocessing,cleaning,and error removal operations were performed.In the second level,data processing,cleaning,reduction,integration,processing,and storage were performed.Herein,suggested internet activity record measures were applied.Our proposed system initially constructs a graph and then performs network analysis.Thus proposed CPSS system accurately identifies different areas of internet peak usage in a city(Milan city).Our research is helpful for the network operators to plan effective network configuration,management,and optimization of resources.

Ecology and social system of northern gibbons living in cold seasonal forests

Gibbons in China represent the northernmost margin of present day gibbon species distribution （around N25°）. Compared to tropical habitats, northern gibbon habitats are characterized by low temperatures and remarkable seasonal variation in fruit abundance How gibbons adapt to their cold and seasonal habitats and what ecological factors affect their sociality are key questions for understanding their ecology and social system evolution, the elucidation of which will contribute to the conservation of these special populations/species. According to preliminary short-term studies, northern gibbons consume more leaves and use larger home ranges than tropical gibbons. Interestingly, some Nomascus groups consist of more than one adult female. However, these preliminary results are not well understood or incorporated into current socio-ecological theories regarding gibbon species. To better understand northern gibbons, our team has systematically studied three habituated groups of Nomascus concolor, three groups of N. nasutus, and two habituated groups of Hoolock tianxing since 2002. In this paper, we stress the challenges facing gibbons living in northern habitats and summarize their behavioral adaptations to their harsh environments. We also describe the northern gibbon social system and discuss the potential relationships between their ecology and sociality. Finally, we highlight future research questions related to northern gibbons in China.

Cyber-Physical-Social System Between a Humanoid Robot and a Virtual Human Through a Shared Platform for Adaptive Agent Ecology

Two artificial agents(a humanoid robot and a virtual human) are enriched with various similar intelligence,autonomy, functionalities and interaction modalities. The agents are integrated in the form of a cyber-physical-social system(CPSS) through a shared communication platform to create a social ecology. In the ecology, the agents collaborate(assist each other) to perform a real-world task(search for a hidden object)for the benefits of humans. A robot-virtual human bilateral trust model is derived and a real-time trust measurement method is developed. The role of taking initiative in the collaboration is switched between the agents following a finite state machine model triggered by bilateral trust, which results in a mixedinitiative collaboration. A scheme is developed to evaluate the performance of the agents in the ecology through the CPSS.The results show that the robot and the virtual human perform satisfactorily in the collaboration through the CPSS. The results thus prove the effectiveness of the real-world ecology between artificial agents of heterogeneous realities through a shared platform based on trust-triggered mixed-initiatives. The results can help develop adaptive social ecology comprising intelligent agents of heterogeneous realities to assist humans in various tasks through collaboration between the agents in the form of a CPSS.

Spatial Management of Distributed Social Systems

The paper describes the use of invented,developed,and tested in different countries of the high-level spatial grasp model and technology capable of solving important problems in large social systems,which may be represented as dynamic,self-evolving and distributed social networks.The approach allows us to find important solutions on a holistic level by spatial navigation and parallel pattern matching of social networks with active self-propagating scenarios represented in a special recursive language.This approach effectively hides inside the distributed and networked language implementation traditional system management routines,often providing hundreds of times shorter and simpler high-level solution code.The paper highlights the demands to efficient simulation of social systems,briefs the technology used,and provides some programming examples for solutions of practical problems.

Cyber-physical-social System in Intelligent Transportation

A cyber-physical system (CPS) is composed of a physical system and its corresponding cyber systems that are tightly fused at all scales and levels. CPS is helpful to improve the controllability, efficiency and reliability of a physical system, such as vehicle collision avoidance and zero-net energy buildings systems. It has become a hot R&D and practical area from US to EU and other countries. In fact, most of physical systems and their cyber systems are designed, built and used by human beings in the social and natural environments. So, social systems must be of the same importance as their CPSs. The indivisible cyber, physical and social parts constitute the cyber-physical-social system (CPSS), a typical complex system and it's a challengeable problem to control and manage it under traditional theories and methods. An artificial systems, computational experiments and parallel execution (ACP) methodology is introduced based on which data-driven models are applied to social system. Artificial systems, i.e., cyber systems, are applied for the equivalent description of physical-social system (PSS). Computational experiments are applied for control plan validation. And parallel execution finally realizes the stepwise control and management of CPSS. Finally, a CPSS-based intelligent transportation system (ITS) is discussed as a case study, and its architecture, three parts, and application are described in detail. © 2014 Chinese Association of Automation.

There is No Mystery in Social System

There is a gap between the properties of social reality and the natural properties of the material bearer that carries it.Language constructivism uses language representations to bridge this gap,arguing that language constructs social reality.Emergence theory holds that the attributes of social reality cannot be reduced to the physical attributes of the carrier.This process is emergent.Language constructivism regards the process from mental reality to social reality as the product of language’s own operation and the secret is hidden in language itself.Emergentism directly led social reality to mysticism.Mental reality is an initial existence,which includes both innate desires and needs and acquired values.Social reality is the external reality created by the subject through action according to his internal needs and desires.Mental reality and social reality are dynamically integrated into each other,which is achieved through rule-based action.

Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral response.Recent studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region–specific,particularly involving the corticolimbic system,including the ventral tegmental area,nucleus accumbens,prefrontal cortex,amygdala,and hippocampus.Determining how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress psychopathology.In this review,we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of depression.We focused on associated molecular pathways and neural circuits,with special attention to the brain-derived neurotrophic factor–tropomyosin receptor kinase B signaling pathway and the ventral tegmental area–nucleus accumbens dopamine circuit.We determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature,severity,and duration of stress,especially in the above-mentioned brain regions of the corticolimbic system.Therefore,BDNF might be a biological indicator regulating stress-related processes in various brain regions.

Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic outbreaks.This review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their performance.Since,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by SM.This paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic outbreaks.DL has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation results.In recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM analysis.This paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM analysis.Finally,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

Does Parental Migration Affect Left-Behind Children’s Social Anxiety?A Systematic Review and Meta-Analysis

Social anxiety is a common psychological problem among left-behind children(LBC)and has been a popular issue in recent years.Children with higher levels of social anxiety have more emotional and behavioral problems and are prone to negative life events.Although several studies have explored the differences in social anxiety between LBC and non-left-behind children(N-LBC),the findings have not been consistent.In this study,a systematic review and meta-analysis method was used,with 411 papers retrieved on October 01,2023,from Pubmed,Embase,Web of Science,and Chinese databases(CNKI,VIP,and Wanfang)(PROSPERO registry number:CRD42023472463).Twenty-one studies met the research criteria and included 11,254 LBC and 13,096 N-LBC.LBC scored significantly higher for social anxiety([WMD(95%CI):0.35[0.23,0.48],p<0.001])and social avoidance and distress([WMD(95%CI):0.35[0.23,0.48],p<0.001]).Subgroup analyses showed significant differences in effect sizes for the overall proportion of children left behind(p=0.02).In addition,different types of parental migration may influence the social anxiety of LBC,double-parent migration was associated higher social anxiety than father migration(p<0.001).Future research should focus on treatments to decrease social anxiety of left-behind children.These findings suggest that due to the long-term absence of parental migration,LBC are more vulnerable to negative emotional experiences and behaviours such as anxiety,distress,and avoidance during social interaction,especially for those with both parents absent from the home.Future research should focus on treatments to reduce social anxiety in LBC.

Digital Human Rights from the Perspective of System Theory——Concept Definition, Social Function, and Constitutional Basis

The three core issues in the“digital human rights”debate are whether“digital human rights”are possible,necessary,and feasible.Both sides of the debate focus on discovering the value of“digital human rights”to individuals from a semantic level,but ignore the significance of“digital human rights”to the whole society and its subsystems at the level of social structure.By introducing Niklas Luhmann's System Theory,this observation blind spot can be eliminated.Fundamental rights are devoted to directly shaping not a physiological-psychological“individual”as a social environment but a social“person”that can be included by social systems.It is clear that digital human rights are the right to participate in digital communication of a“human”as a“person”,so they are possible in terms of conceptual definition.Digital human rights can help“people”lower the threshold for participation in digital communication,limit the excessive expansion of social systems,and promote the free and complete expression of body and mind,so they are necessary for social functions.There are limitations in the existing two ideas of“incorporating digital human rights into the constitution”.Based on the new construction idea of System Theory of Law,digital human rights as the right to participate in digital communication can be typified into digital communication in social sub-fields such as politics,economy,science,and art.The right to participate constructs a complete digital human rights system,making it feasible on the basis of the constitution.

Way to Push Ahead Corporate Social Responsibility Report System in China

According to the analysis and statistics of relevant institution, it is a prominent problem that CSR reports generally become a mere formality. Through the analysis on the causes, it finds that it is inevitable for the phenomenon. Thus, we proposed to improve the cultivation mechanism of corporate responsibility by ex- panding and advancing the subject and the object, as well as the contents, of fi- nancial analysis in order to push ahead with CSR report in China.

A Study of Social System Design and Social System Problems in the Course of Reform

This article. with the analysis of the crucial factors of system function. and from the view point of the system principles, clarifies the essential ideas of the social system design process and puts forth a targetfunctionconducted system design procedure. Accordingly, the problems in China's reform and enterprise's system design are analyzed

Epigenomics and gene regulation in mammalian social systems

Social epigenomics is a new field of research that studies how the social environment shapes the epigenome and how in turn the epigenome modulates behavior.We focus on describing known gene-environment interactions(GEIs)and epigenetic mechanisms in different mammalian social systems.To illustrate how epigenetic mechanisms integrate GEIs,we highlight examples where epigenetic mechanisms are associated with social behaviors and with their maintenance through neuroendocrine,locomotor,and metabolic responses.We discuss future research trajectories and open questions for the emerging field of social epigenomics in nonmodel and naturally occurring social systems.Finally,we outline the technological advances that aid the study of epigenetic mechanisms in the establishment of GEIs and vice versa.

Social System Historical Modeling of Western Economies and its Implications for Eastern Economies

The two purposes of the research are(a)to develop an analytical model that views the economy/polity as a social system with interactive subsystems of actors:households,firms,government,political parties and other significant actors,and(b)apply the analytical model to construct and verify a timeline that figures major events in world development that shaped the evolution of the western economies,and the relative strength of their interacting subsystems.The timeline highlights the changing and evolving dominance of the major subsystems in the economic history of the western world.We differ from the convention of looking at history as the occurrence of exogenous consequential events and offer instead a system dynamics analysis that makes historical events endogenous and to be affected by the powerplay within the system.The current dominance of the firm subsystem in western countries is demonstrated to be the accumulated result of centuries of past events:wars,discoveries,colonies,trade,political enlightenments,and industrial revolutions that strengthened participation and interactions in the firm subsystem at the cost of weakened dominance of rival subsystems(those of traditional households,theocrats,manors,communes,royals,and the modern state subsystem).The behavioral orientation of a social system is explainable in terms of(a)interactive influence(which occurs during the participation and interaction of agents in multiple settings,with some settings having more interactive influence than others),and(b)regulative influence(where the conduct of the one subsystem overrules that of other subsystems).Western economic history suggests a positive conditional correlation and convergence between(a)and(b).Being conditional,the convergence between(a)and(b)may not hold in other world contexts,i.e.,China,India,Arab and African countries.

Impact of social isolation on behavioral health in elderly: Systematic review

AIM: To examine and compare the effects of subjective and objective social isolation on behavioral health in elderly adults.METHODS: A systematic search of Pub Med was performed for original research articles from peerreviewed journals examining one of the following topics: "Social isolation and sleep disturbance", "social isolation and depression", or "social isolation and fatigue in older adults". Studies were selected following the criteria established based on the aim of this review. Data were extracted from the articles by two independent reviewers. Due to the heterogeneity in study designs and outcome measures of the included studies, qualitative and narrative analyses were conducted.RESULTS: The set criteria were used to select a total of 16 studies for the review. Of the 16, 13 were crosssectional studies. The characteristics of study populations were identified as follows. A total of 12 studies randomly selected subjects irrespective of pre-existing health conditions. Consequently, an unspecified number of the study subjects had chronic diseases in the studies compared. In addition, cultural and ethnic backgrounds of studies in this review were diverse, and included subjects living in North America, South America, Asia, Europe, and Oceania. Both subjective and objective types of social isolation increased behavioral symptoms, such as sleep disturbance, depressive symptoms, and fatigue in older adults. Furthermore, a few recent studies reported stronger effects of subjective social isolation than objective social isolation on sleep disturbance and depressive symptoms.CONCLUSION: Social isolation affects behavioral health in older adults. Compared to the objective social isolation, subjective social isolation contributes more significantly to sleep disturbance and depression.

A systematic review of the relationships among psychosocial factors and coping in adults with type 2 diabetes mellitus

Type 2 diabetes mellitus contributes to poor health outcomes including mortality,yet there is a gap in the literature when seeking to understand the influence of psychosocial factors on coping in this population.The paper presents a systematic review of quantitative studies that examined relationships among psychosocial determinants and coping in adults with type 2 diabetes.This review is the second layer of knowledge discovery for the concept,"Taking on a life-altering change is a rhythmical journey of experiencing ups and downs on the way to acceptance." The life-altering change was determined to be a diagnosis of type 2 diabetes,the journey is the ups and downs of coping with the diagnosis as people work toward acceptance of type 2 diabetes.The review includes a synthesis of findings from 22 quantitative studies of psychosocial factors and coping in adults with type 2 diabetes.Anxiety,depression,stress,and diabetes distress were identified as key influential psychosocial factors.Increased social support was inversely related to emotional distress and coping styles were related to social well-being,psychological health,and physical health outcomes.The positive coping style of problem-focused coping was linked to improved psychological and physical health.Emotional responses to diagnosis were related to depression and anxiety.Negative coping styles of resignation,protest,or isolation were higher in women and linked to poorer quality of life,while avoidance was linked to increased diabetes-related distress and depressive symptoms.

Social Sensors (S^2ensors): A Kind of Hardware-Software-Integrated Mediators for Social Manufacturing Systems Under Mass Individualization

Currently, little work has been devoted to the mediators and tools for multi-role production interactions in the mass individualization environment. This paper proposes a kind of hardware-software-integrated mediators called social sensors （S2ensors） to facilitate the production interactions among customers, manufacturers, and other stakeholders in the social manufacturing systems （SMS）. The concept, classification, operational logics, and for- malization of S2ensors are clarified. S2ensors collect sub- jective data from physical sensors and objective data from sensory input in mobile Apps, merge them into meaningful information for decision-making, and finally feed the decisions back for reaction and execution. Then, an S2en- sors-Cloud platform is discussed to integrate different S2- ensors to work for SMSs in an autonomous way. A demonstrative case is studied by developing a prototype system and the results show that S2ensors and S2ensors- Cloud platform can assist multi-role stakeholders interact and collaborate for the production tasks. It reveals the mediator-enabled mechanisms and methods for production interactions among stakeholders in SMS.

Role of permafrost in resilience of social-ecological system and its spatio-temporal dynamics in the source regions of Yangtze and Yellow Rivers

Permafrost is one of the key components of terrestrial ecosystem in cold regions. In the context of climate change, few studies have investigated resilience of social ecological system(SER) from the perspective of permafrost that restricts the hydrothermal condition of alpine grassland ecosystem. In this paper, based on the structural dynamics, we developed the numerical model for the SER in the permafrost regions of the source of Yangtze and Yellow Rivers, analyzed the spatial-temporal characteristics and sensitivity of the SER, and estimated the effect of permafrost change on the SER. The results indicate that: 1) the SER has an increasing trend, especially after 1997, which is the joint effect of precipitation, temperature, NPP and ecological conservation projects; 2) the SER shows the spatial feature of high in southeast and low in northwest,which is consistent with the variation trends of high southeast and low northwest for the precipitation, temperature and NPP, and low southeast and high northwest for the altitude; 3) the high sensitive regions of SER to the permafrost change have gradually transited from the island distribution to zonal and planar distribution since 1980, moreover, the sensitive degree has gradually reduced; relatively, the sensitivity has high value in the north and south, and low value in the south and east; 4) the thickness of permafrost active layer shows a highly negative correlation with the SER. The contribution rate of permafrost change to the SER is-4.3%, that is, once the thickness of permafrost active layer increases 1 unit, the SER would decrease 0.04 units.

Construction Strategies of Social Security System for Wan-jiang Urban Belt's Migrant Workers

Theoretical debate and practice exploration on social security of migrant workers were introduced.The political direction and security layer on social security for migrant workers in Wan-jiang urban belt were analyzed:the first layer is to implement wage payment guarantee and employment injury insurance;the second layer is to emphasize serious disease insurance and endowment insurance;the third layer is unemployed insurance and social assistance.The primary strategy of building a social security system for migrant workers in Wan-jiang urban belt was put up:wage payment guarantee system that is united in certain regions should be promoted;employment injury insurance system that is undertaken by enterprises should be built;a social health care system for serious diseases should be set up;multi-layers endowment insurance system for migrant workers should be created;vocational training and training in how to start a business should be built as well as the unemployment insurance system;social assistant system based on the basic cost of living allowances should be set up.