Group Behavior Research Articles

Flexibility justice: Exploring the relationship between electrical vehicle charging behaviors, demand flexibility and psychological factors

The adoption of electric vehicles (EVs) is transforming the landscape of energy consumption. While the technical and economic dimensions of EV adoption are increasingly well understood, the aspect of justice in demand flexibility remains underexplored. This study examines the complex relationship between flexibility in EV charging behaviors and the influence of socio-psychological and justice factors. We explore a range of demographic and social-psychological variables including charging anxiety, environmental concerns, perceived cost-saving perception, perceived privacy, and trust in utility providers. Our results reveal that these variables positively influence the changes in charging habits, including time-shifting and load-reduction. This study also uncovers disparities in charging behavior adjustments across various demographics groups. For instance, White respondents are more likely to charge their EVs during off-peak hours than their non-White counterparts and homeowners show a greater intention to reduce EV charging load during peak hours compared to renters. Additionally, high-income individuals exhibit a stronger willingness to shift charging times to off-peak, with White respondents within the high-income group being the most likely to reduce the amount of charging load during peak hours. Conversely, low-income White respondents are less inclined to make such adjustments. These disparities are likely tied to socioeconomic status, as more vulnerable groups often face greater constraints in adjusting their schedules. Therefore, it is imperative that policies prioritize flexibility justice by addressing the specific needs and behaviors of vulnerable groups, aiming to mitigate the additional burdens resulting from their limited flexibility.

Physiological Mechanisms of The Relationship Between Memory, Attention, and Arousal in Children Diagnosed with Autism

Autism is a developmental disorder with an early onset and lifelong duration that impairs social interaction and communication, with the condition being repeatedly diagnosed. To gain scientific knowledge about autism, one must observe these patients, perform a series of investigations and examinations, and finally obtain a general title. The first stage of getting to know children diagnosed with autism is one of the most important conditions for studying their psychology and inner world. Therefore, studying the psychology of children diagnosed with autism is also considered a responsible task for psychologists. The article presents the results of assessing the level of anxiety, stress, depression, attention and memory indicators in children with autism, which is an actual problem in recent times, in different age groups. The studies were conducted at two different locations: the Special Support, Special Training and Rehabilitation Centre (Tatvan district of Bitlis, Turkey) and the Psychological Centre Psychosocial Rehabilitation and Development Centre “PRIM” (Baku, Azerbaijan). Conducting studies in two different regions will reveal whether there is a difference between patients diagnosed with autism. The study examined children diagnosed with autism aged 6-12 years of both sexes (44 in Turkey; 51 in Azerbaijan). The results obtained in the study were compared with normal test limits. Psychological testing was conducted on an individual basis, and for the comprehensive study, the same child was tested repeatedly, with a certain frequency and with special attention. Although more boys than girls were included in the confirmed cases, since the aim was not to study gender differences, care was taken to obtain generalisable results. The attempt to clarify a complex topic such as stress in a broad topic such as autism characterises a very complex situation. Therefore, we have endeavoured to obtain more accurate results through the use of comprehensive tests. The main objective of the research work is to obtain certain results by using comprehensive psychological research methods in determining the level of stress and anxiety in children diagnosed with autism and to study the main characteristics of autism by comparing them with psychological indicators considered within the normal range. The results of studies conducted in Turkey and Azerbaijan showed the presence of low levels of attention and memory processes, behavioural disorders, aggressive and depressive behaviour in all age groups against the background of increased arousal. Children diagnosed with autism exhibit similar symptoms regardless of their geographical location, indicating that this disease has common characteristics regardless of national, racial, religious, and regional peculiarities.

Research on factors affecting bubble and particle behavior in a three-phase flotation system based on COMSOL

ABSTRACT To investigate the impact of various parameters on bubble and particle dynamics in a flotation system, COMSOL software was utilized. The “two-phase flow – Level Set” module coupled with the “fluid particle interaction” module was used to explore the behavior of single bubbles and particle groups. The bubbles were set as a discrete phase to represent a group of floating bubbles. By combining the “Single-phase flow” module with dual “fluid-particle interaction” modules, we examined the interactions between bubble populations and particles within the system. The research results show that as the bubble diameter increases, the carrying effect of the bubbles on the particles becomes stronger. When the bubble radii are 1, 1.25, 1.5, 1.75, and 2 mm respectively, the maximum movement speed of the particles in the area increases by 3.0%, 2.3%, 5.1%, and 2.7%. The average speed of the particles increases by 7.9%, 7.3%, 9.0%, and 10.0%. Increasing the mass flow rate can increase the collision probability between particles and bubbles, thus increasing the flotation rate. However, a too high mass flow rate will make the state of bubbles unstable. When the mass flow rate is less than 1.5 kg/s, the bubbles remain stable. When the mass flow rate exceeds 1.5 kg/s, the severity of bubble splitting increases. In the study area, the irregularity of the bubble clusters results in a more chaotic flow field, leading to greater speed and displacement of the particles. Increasing the number of bubbles entering at one time and their initial speed enhances the impact of the bubble clusters on the solid particles. When the number of bubbles entering at one time is 5, 10, 15, and 20 respectively, the maximum movement speed of the particles increases by 6.9%, 8.1%, and 9.0%. When the initial speed of the bubble entering is 0, 0.1, 0.2, and 0.3 m/s respectively, the maximum movement speed of the particles increases by 6.4%, 3.0%, and 8.8%.

The group behavior analysis of the high-frequency traders based on Mean Field Games approach

Abstract We present an approach to describe the group behavior of the high-frequency traders in the stock market based on Mean Field Games and optimal control theory. The problem is formalized as a system of coupled PDEs: Kolmogorov–Fokker–Planck, evolving forward in time with initial condition, and Hamilton–Jacobi–Bellman, evolving backwards in time with terminal condition. Under certain assumptions, the system of PDEs can be reduced to Riccati-type ODEs. We solve the inverse problem to describe the behavior of the high-frequency traders during the Chinese stock market crisis in 2015.

The effect of education based on the theory of planned behavior to prevent the consumption of fast food in a population of teenagers

BackgroundConsidering the increasing prevalence of fast food consumption among teenagers, providing the necessary training and self-awareness is the best solution for institutionalizing the prevention of fast food consumption by this group. Therefore, this issue should be taken seriously, as should the implementation of educational interventions to prevent the consumption of fast food. The theory of planned behavior (TPB) is one of the various health education styles and methods that works well. However, given that a number of local data points are crucial in establishing the efficacy of the model employed, this study looks into the impact of TPB-based education in preventing fast food intake among teenagers.MethodsA total of 180 male students, ages 15 to 18, participated in this quasi-experimental study in Shiraz, Iran. Cluster sampling was used in the study, and participants were randomly assigned to two groups: the experimental group (n = 90) and the control group (n = 90). A theory-based questionnaire was used to gather data, and both the control and experimental groups had to complete it before and three months after the intervention. The data were examined using paired t, independent t, and chi-square statistical tests after being entered into SPSS-24.ResultsThe results of the independent t-test showed that there was no significant difference between the two study groups before the intervention in terms of knowledge (P = 0.14), attitude (P = 0.57), subjective norms (P = 0.94), perceived behavioral control (P = 0.81), behavioral intention (P = 0.42), or behavior (P = 0.25). However, following the intervention, there was a significant difference between the two groups with regard to the noted variables (P = 0.001). Furthermore, the McNemar test results demonstrated that the experimental group’s consumption of fast food varied significantly before and after the intervention (P = 0.001), but not in the control group (P = 0.07).ConclusionThe study’s findings demonstrated that TPB-based treatments are successful in helping male students change their habits of consuming fewer amounts of fast food. This study demonstrated that the instructional techniques employed improved the fast food consumption behavior of the intervention group as well as the TPB’s structure (attitude, subjective norms, behavioral intention, and perceived behavioral intention).

Group sex and behavior change associated with the 2022 Mpox outbreak among men who have sex with men in Southern California.

The Monkeypox (Mpox) outbreak disproportionately affected sexually active gay, bisexual, and other men who have sex with men. To understand community-level changes in sexual behavior, we surveyed individuals in a semi-urban area in Southern California. Participants were recruited between October 2022 to April 2023, using palm cards, and geolocation-focused online advertisements on social media and dating apps. Eligible participants were male, ≥18 years, reported sex with men, residents of San Bernardino or Riverside counties, California, Human Immunodeficiency Virus (HIV)-negative, currently not taking pre-exposure prophylaxis (PrEP). Descriptive analyses were performed. Chi-square, Fisher's exact, and Student's T-tests examined the association between group sex behaviors and demographics. We enrolled 91 gay, bisexual, and other men who have sex with men with a median age of 35 years (range 18-70 years). Nearly half reported having participated in group sex in the past year. Overall, 48.9% of group sex participants reported changing their sexual behaviors to prevent Mpox transmission, with limiting the number of sex partners being the most reported prevention strategy (47.6%). To prevent Mpox infection, participants that engage in group sex reported limiting the number of sex partners (34.4%), using condoms for anal sex (16.7%), avoiding crowded social venues (14.3%), and asking partners about Mpox symptoms before sex (9.5%). Survey participants reported modest sexual behavior changes in response to the Mpox outbreak. Group sex may increase the risk for Mpox, HIV, and other sexually transmitted infections; therefore, public health messages should include specific discussion of safer group sex practices in sexual health promotion.

Culture: a sixth domain and the introduction of the ‘C6ISRT’ framework

ABSTRACT The traditional domains of land, sea, and air warfare have long held prominence, while space and cyberspace have recently gained recognition as spheres of conflict. As conflicts continue to evolve, the domains of war must expand to accommodate new dimensions of engagement and integrate them alongside those human-centred factors that have previously held considerable sway. It is imperative, therefore, to recognise culture as the sixth domain and reflect upon its profound influence on group thinking, decision-making, and behaviour. Integrating culture into the Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance, Reconnaissance and Targeting (C5ISRT) framework acknowledges its strategic relevance in shaping military strategies and responses in an increasingly complex and interconnected world. This paradigm shift highlights that the modern landscape extends beyond physical and virtual theatres to encompass the cognitive and social dimensions that define human interactions and conflicts.

How do people quit smoking using e-cigarettes? A mixed-methods exploration of participant smoking pathways following receiving an opportunistic e-cigarette-based smoking cessation intervention.

Pathways of transitioning from tobacco smoking to vaping after receiving an e-cigarette-based smoking cessation intervention have been minimally explored. 1) identify pathways between intervention delivery and final follow-up; 2) describe baseline and post-intervention statistical data in relation to smoking/vaping behaviour of the different pathway groups; 3) explore qualitative participant perspectives contextualising pathway groups. Embedded mixed-methods analysis of data collected for the Cessation of Smoking Trial in the Emergency Department (COSTED) randomised controlled trial. Recruitment from 6 Emergency Departments (5 in England and 1 in Scotland) between January and August 2022. 366 adult smokers who were randomised to receive the COSTED intervention and provided data at 6-month follow-up. Qualitative subsample of 24 participants interviewed after follow-up. Brief smoking cessation advice, provision of an e-cigarette starter kit and referral to the local Stop Smoking Service. Descriptive statistical reporting of identified pathways and smoking/vaping behaviour at baseline and 6-month follow-up. Semi-structured phone/video interviews analysed thematically. 13.4% (n = 49) of participants quit smoking within 1month of receiving the intervention, 19.1% (n = 70) quit between 1 and 6months, 24.9% (n = 91) reduced cigarettes per day (CPD) by at least 50%, and 42.6% did not experience a significant smoking reduction. Approximately a third of participants who quit reported not vaping at follow-up. Reporting dual use was associated with a reduction in CPD. Appoximately athird reported experimenting with a different device to the one provided as part of the intervention. Quitters reported themes of satisfaction with vaping, changes in environment facilitating quitting and motivation to quit. Dual use of cigarettes and e-cigarettes can result in a reduction of smoking and may preclude quitting smoking. Sustained e-cigarette use is not always necessary for quitting success. Success depends on personal context as well satisfaction with vaping.

Dynamics of personal financial management: a bibliometric and systematic review on financial literacy, financial capability and financial behavior

PurposeFinancial literacy, capability and behavior are crucial factors in personal financial management, which in turn plays a significant role in individual and societal financial well-being. The objective of this investigation is to explain critical factors and dimensions of personal financial management systems by employing a hybrid approach that encompasses a bibliometric analysis and a systematic review of the literature.Design/methodology/approachThe research team carefully evaluated a selection of 606 scholarly articles from the Scopus database and studied the evolution of personal financial management behavior over 38 years (1986–2023). This research adopted several graphical representations and network structures to comprehend publishing tendencies, high-impact papers, theoretical frameworks, intellectual constructs as well as the current state of research collaboration.FindingsFour major clusters were identified in the field of personal financial management behavior: the relationship between financial literacy and financial capability, factors influencing financial behavior, the impact of financial behavior on financial well-being and the financial behavior of different demographic groups. In addition, by performing content analysis on papers published within the last five years, new themes in personal financial management behavior were identified.Practical implicationsThis investigation serves to equip financial advisors, policy architects and scholarly investigators with a deeper insight into the intricacies of personal financial management behavior and aids in pinpointing prospective domains for forthcoming research.Originality/valueThis study seeks to address a significant vacuum in the current body of research by providing a thorough bibliometric analysis that specifically examines financial literacy, ability and conduct. To the best of our knowledge, no previous research has conducted such a comprehensive investigation in this field. This research aims to identify important researchers and influential works in the subject by using a mixed-methods approach that combines qualitative and quantitative methodologies, including content analysis. The purpose of doing this is to provide exclusive insights and expertise that can be highly valuable to scholars, practitioners, policymakers and other stakeholders who are interested in furthering the comprehension and encouragement of financial literacy and responsible financial behavior.

The use of convolutional neural networks for abnormal behavior recognition in crowd scenes

This study introduces the Abnormality Converging Scene Analysis Method (ACSAM) to detect abnormal group behavior using monitored videos or CCTV images in crowded scenarios. Abnormal behavior recognition involves classifying activities and gestures in continuous scenes, which traditionally presents significant computational challenges, particularly in complex crowd scenes, leading to reduced recognition accuracy. To address these issues, ACSAM employs a convolutional neural network (CNN) enhanced with Abnormality and Crowd Behavior Training layers to accurately detect and classify abnormal activities, regardless of crowd density. The method involves extracting frames from the input scene and using CNN to perform conditional validation of abnormality factors, comparing current values with previous high values to maximize detection accuracy. As the abnormality factor increases, the identification rate improves with higher training iterations. The system was tested on 26 video samples and trained on 34 samples, demonstrating superior performance to other approaches like DeepROD, MSI-CNN, and PT-2DCNN. Specifically, ACSAM achieved a 12.55% improvement in accuracy, a 12.97% increase in recall, and a 10.23% enhancement in convergence rate. These results suggest that ACSAM effectively overcomes the computational challenges inherent in crowd scene detection, offering a robust solution for real-time abnormal behavior recognition in crowded environments.

Effect of periodic nursing interventions on improving compliance behavior and health status in long-term Hemodialysis patients.

To investigate the effect of periodic nursing interventions on improving compliance behavior and health status in long-term hemodialysis patients. This was retrospective study. A total of 88 patients on long-term hemodialysis admitted to Qinhuangdao Haigang Hospital from January 2022 to April 2023 were randomly divided into the control group and the intervention group, who received routine hemodialysis nursing and periodic nursing interventions, respectively. Afterward, compliance behavior and health status were compared between the two groups, along with a comprehensive assessment of the health status using renal function indexes, complication rates, and anxiety and depression scores. Before nursing, no significant difference was observed in each index between the two groups (p > 0.05). After 16 months of nursing, the score of compliance behavior in the intervention group (88.68 ± 6.27) was significantly higher than that in the control group (70.91 ± 7.48) (p< 0.05), with the renal function indexes of BUN and SCr lower than those in the control group (p< 0.05). Meanwhile, the intervention group saw higher SAS and SDS scores than the control group (p< 0.05). Periodic nursing interventions may effectively improve the compliance behavior and health status of patients, enhance the efficacy of hemodialysis treatment, and improve the quality of life of patients.

Revealing the Hidden Complexity and Reactivity of Palladacyclic Precatalysts: The P(o-tolyl)3 Ligand Enables a Cocktail of Active Species Utilizing the Pd(II)/Pd(IV) and Pd(0)/Pd(II) Pathways for Efficient Catalysis.

The ligand, P(o-tolyl)3, is ubiquitous in applied synthetic chemistry and catalysis, particularly in Pd-catalyzed processes, which typically include Pd(OAc)2 (most commonly used as Pd3(OAc)6) as a precatalyst. The Herrmann-Beller palladacycle [Pd(C^P)(μ2-OAc)]2 (where C^P = monocyclopalladated P(o-tolyl)3) is easily formed from reaction of Pd(OAc)2 with P(o-tolyl)3. The mechanisms by which this precatalyst system operates are inherently complex, with studies previously implicating Pd nanoparticles (PdNPs) as reservoirs for active Pd(0) species in arylative cross-coupling reactions. In this study, we reveal the fascinating, complex, and nontrivial behavior of the palladacyclic group. First, in the presence of hydroxide base, [Pd(C^P)(μ2-OAc)]2 is readily converted into an activated form, [Pd(C^P)(μ2-OH)]2, which serves as a conduit for activation to catalytically relevant species. Second, palladacyclization imparts unique stability for catalytic species under reaction conditions, bringing into play a Pd(II)/Pd(IV) cross-coupling mechanism. For a benchmark Suzuki-Miyaura cross-coupling (SMCC) reaction, there is a shift from a mononuclear Pd catalytic pathway to a PdNP-controlled catalytic pathway during the reaction. The activation pathway of [Pd(C^P)(μ2-OH)]2 has been studied using an arylphosphine-stabilized boronic acid and low-temperature NMR spectroscopic analysis, which sheds light on the preactivation step, with water and/or acid being critical for the formation of active Pd(0) and Pd(II) species. In situ reaction monitoring has demonstrated that there is a sensitivity to the structure of the arylboron species in the presence of pinacol. This work, taken together, highlights the mechanistic complexity accompanying the use of palladacyclic precatalyst systems. It builds on recent findings involving related Pd(OAc)2/PPh3 precatalyst systems which readily form higher order Pdn clusters and PdNPs under cross-coupling reaction conditions. Thus, generally, one needs to be cautious with the assumption that Pd(OAc)2/tertiary phosphine mixtures cleanly deliver mononuclear "Pd(0)Ln" species and that any assessment of individual phosphine ligands may need to be taken on a case-by-case basis.

Kebijakan Hukum Dalam Menghadapi Lesbian, Gay, Biseksual dan Transgender (LGBT) Sebagai Suatu Penyimpangan Perilaku di Indonesia

Deviant behavior in the form of Lesbian, Gay, Bisexual and Transgender (LGBT) seems unavoidable. This behavior can target children, teenagers and even adults. With this phenomenon, it has negative impacts on community life. The problem is getting stronger when the phenomenon is published through social media and television shows. At least there are perpetrators of LGBT couples and other LGBT actions in Indonesia. This study uses a research method that is a normative legal research type. In normative legal research, the data used is secondary data. The secondary data contains primary legal materials, secondary legal materials and tertiary legal materials. Then the materials that have been collected are analyzed using a statute approach and a case approach. This study answers a problem, namely first. The implications of LGBT behavioral deviations in Indonesia can have an impact on the health, social, education and security of the Indonesian state. The factors can be caused by internal factors originating from oneself and the family environment and external factors originating from the external environment and social media and television or community groups and second. In the provisions of the existing laws and regulations, there are limits for LGBT, although they are not regulated concretely and explicitly, and future regulations will regulate deviant behavior for LGBT groups who intentionally commit sexual harassment in public, but there is still a need for comprehensive regulations that regulate LGBT.

Beyond binary group categorization: towards a dynamic view of human groups

ABSTRACT Society is a composite of interacting people and groups. These groups play a significant role in maintaining social status, establishing group identity and social identity, and enforcing norms. As such, groups are essential for understanding human behavior. Nevertheless, the study of groups in everyday group life yields many diverse and sometimes contradicting theories of group behavior, and researchers tend to agree that we have yet to understand the emergence of groups out of aggregates of individuals. The current paper aims to shed new light on the convoluted interrelation between groups and individuals by focusing on individuals’ social identities and group categorization. It does so by exploring the dynamic nature of the self and its implications on identity and group membership, and introducing a framework recognizing the fluidity of groups and group categorization. Incorporating historical insights with contemporary theories, this paper argues for a flexible understanding of group dynamics that surpasses rigid in-group and out-group classifications, proposing instead that group affiliations exist along a continuum that reflects the ever-changing social landscape.

Development of improved finite element formulations for pile group behavior analysis under cyclic loading

AbstractThe effect of cyclic loading is an essential factor leading to progressive soil strength degradation. Therefore, a comprehensive analysis of the pile‐soil system behavior under cyclic loading is required to ensure the stability of pile group. There is room for improvement in the inherent constraint of the conventional numerical model in terms of approximating the soil resistance distribution along the pile by point loads at element nodes, necessitating a specific element that integrates considerations of pile group effect and cyclic loading within a unified framework. This study aims to develop a newly specific type of element for efficiently predicting nonlinear behavior within the pile‐soil system, addressing simulations involving nonlinear pile‐soil interaction, pile group effect, and cyclic loading. Modified element formulations based on soil stiffness matrices and soil resistance vectors specifically address pile group effect and consider parameters that influence pile behavior under cyclic lateral loading. The numerical solution procedure with Newton‐Raphson iteration allows the calculation of pile responses in geometric and material nonlinear analyses. The validation of the proposed method includes several examples, comparing it with existing numerical solutions and experimental tests of single piles and pile groups under cyclic loading. These comparisons further support the consistency of the proposed method with measured data and validate its accuracy in considering group effect and cyclic loading. The parametric study illustrates the ability of the proposed method to capture cyclic loading parameters while considering the influence of the number and magnitude of load cycles, the cyclic load direction, and the installation methods.

An innovative leg self-exercise to reduce knee pain severity among the elderly people in Thailand

Osteoarthritis (OA) is a prevalent health issue that has consistently risen in occurrence among the elderly in Thailand. This issue holds significant importance within Thailand's healthcare system. This research was allocated to the quasi-experimental study aimed at assessing the effectiveness of leg self-exercises for reducing knee pain severity among the elderly. The total sample size was 108 elderly people recruited into the study with an Oxford Knee Score (OKS) between 20 and 48. The participants were divided into two groups: the intervention group received leg self-exercise with a plank for six weeks, and the control group: received health education booklets. All parameters were compared between and within each group using the independent t-test and paired sample t-test in data analysis. At the three-month follow-up, the results revealed that the OKS and self-exercise behavior in the intervention group had considerably increased more than those in the control group (p&amp;lt;0.001). Compared with the baseline and three-month follow-up, the within comparison, the OKS, and self-exercise behavior were significantly improved (p&amp;lt;0.001). The leg self-exercise with the plank program can lessen the degree of knee discomfort in the elderly and be used to impose and produce recommendations for supporting healthy policies.

The Ending Effect in the Domain of Gambling: The Effect of Gain-Loss Status on Economic Decision-Making.

Previous studies have shown that people prefer risk-taking at the end of gambles, a phenomenon called the ending effect. By using the Guess Gambling Game, we investigated the impact of gain-loss status on the ending effect (Experiment 1) and whether and how this effect may be affected by time reference (Experiment 2) and gender (Experiment 1&2). In Experiment 1, we observed the ending effect only in the gain group. Furthermore, gender differences exist in the loss group behavior, females were more risk-averse than males, and males tend to investment more initially and then reduce their investment in a U-shaped pattern (Experiment 1&2). Next, in Experiment 2, the findings indicated that participants in the gain group made riskier decisions and were willing to allocate more money for additional decision opportunities, irrespective of the time conditions. Additionally, under time-limited condition, participants tended to make more decisions in the final round, aiming to maximize their choices times within the limited time. These results contribute to a better understanding of the boundary conditions surrounding the ending effect in risky decision-making and may offer a scientific basis for mitigating and intervening in irrational decision-making.

Fractal information dissemination and clustering evolution on social hypernetwork

The complexity of systems stems from the richness of the group interactions among their units. Classical networks exhibit identified limits in the study of complex systems, where links connect pairs of nodes, inability to comprehensively describe higher-order interactions in networks. Higher-order networks can enhance modeling capacities of group interaction networks and help understand and predict network dynamical behavior. This paper constructs a social hypernetwork with a group structure by analyzing a community overlapping structure and a network iterative relationship, and the overlapping relationship between communities is logically separated. Considering the different group behavior pattern and attention focus, we defined the group cognitive disparity, group credibility, group cohesion index, hyperedge strength to study the relationship between information dissemination and network evolution. This study shows that groups can alter the connected network through information propagation, and users in social networks tend to form highly connected groups or communities in information dissemination. Propagation networks with high clustering coefficients promote the fractal information dissemination, which in itself drives the fractal evolution of groups within the network. This study emphasizes the significant role of “key groups” with overlapping structures among communities in group network propagation. Real cases provide evidence for the clustering phenomenon and fractal evolution of networks.

Parent-child interaction after home-visiting intervention for children born extremely preterm-A randomised clinical trial.

To determine whether a strength-based home-visiting program enhances parent-child interaction during the first year at home for children born extremely preterm (gestational age < 28). A randomised controlled trial of 130 infants born extremely preterm 2018-2021 in Stockholm, allocated to either the Stockholm preterm interaction-based intervention (SPIBI) (n = 66) or an extended follow-up program (n = 64). The intervention group received ten home visits during the first year by a trained interventionist following SPIBI guidelines: an interaction-based intervention supporting sensitive parental responses to infants' signals. The primary outcome of emotional availability was assessed at 12 months corrected age (CA) using the emotional availability scales (EAS). At 1-year CA, data were collected from 115/130 (89%) of the included children. There were no significant group differences in emotional availability at 12 months CA. A secondary analysis showed an effect modifier in families with mothers self-rated as depressed at discharge, with the outcome favouring intervention in the EAS dimension of child involvement. The SPIBI had no significant main effect on emotional availability at 12 months CA. Children of self-reported depressed mothers displayed superior involvement behaviour in the intervention group, prompting further research on risk groups and potential modifications of post-discharge interventions.

Enhanced minimum cost consensus model for interval type-2 fuzzy social network group decision making focusing on individual attributes and group attitude

In group decision-making scenarios, consensus reaching is a crucial factor for resolving conflicts of opinion among groups, and social network analysis plays a significant role in fostering group consensus. This paper constructs a social network-driven minimum cost consensus framework for interval type-2 fuzzy group decision-making problems involving different individual attributes. Firstly, this paper proposes a theoretical social network analysis by the implementation of propagation efficiency, propagation reliability and opinion similarity to generate comprehensive trust relationships. The aim is to obtain missing trust relationships and individual centrality. Secondly, a minimum cost consensus model is constructed to give recommendation advice for identified inconsistent decision-makers according to their adjustment willingness. The novelty of the model lies in its capability to consider decision-makers’ individual attributes and group attitude or behavior. Then, this paper proposes an interval type-2 fuzzy Alternative by Alternative Comparison (ABAC) method for ranking multiple alternatives which address the rank reversal problem. Lastly, a case study on the selection of alternative charging point operators illustrates the effectiveness of the proposed method, and comparison and sensitivity analysis show the advantages of the proposed method.