Common Behavior Research Articles

Direct venting during fast charging of lithium-ion batteries

Lithium-ion batteries pose high risks of failure when subjected to fast charging due to accumulated degradation from side reactions. Venting is a common failure behaviour that results in the release of gases and depressurization. However, the connection between fast-charging degradation and venting characteristics remains unclear. In this study, fast-charging experiments are conducted on LiNi0.6Mn0.2Co0.2O2 (NMC622)/graphite prismatic cells (51 Ah) with controlled cooling, followed by adiabatic thermal runaway tests. The degraded cell, after 4C charging, shows venting at a temperature 34.4 °C lower than a fresh cell. Gas analysis of the degraded anode-electrolyte partially reactive system in hot-box tests reveals that the reaction between plated lithium and electrolyte was a primary contributor to the additional gases. The fast-charging protocols are conducted under natural convection with less heat dissipation, causing battery swelling and venting without thermal runaway when subjected to excessive cycling at off-limit charge rates (5C and 5.6C). The temperature decreasing rates during rest after each charging process slow down or stabilize for a certain period, highlighting the role of exothermic side reactions. This experimentally demonstrates that venting failures can be directly triggered by the exothermic, gas generating reaction during fast charging. These findings inform future designs for safe and rapid battery charging.

Modelling the pedestrian’s willingness to walk on the subway platform: A novel approach to analyze in-vehicle crowd congestion

A common behavior pattern observed on subway platforms is that pedestrians walk downstairs from the escalator and choose a door to wait for a rail train. Interestingly, pedestrians often walk to farther doors rather than the nearest one to the escalator. This paper proposes a new concept, called willingness to walk (WTW), to describe pedestrians' behavioral characteristics, including their psychological tendency to stay in their original queue or to walk to farther queues. Two regression models are proposed to quantitatively measure WTW, both of which are calibrated using an inequality-based least square method. Observation data are collected through field investigation and simulation software. The calibration results confirm the existence of WTW. The proposed method is then applied to analyze the distribution of waiting passengers on the platform and the level of in-vehicle crowding. Simulation results demonstrate that the proposed WTW models can reliably approximate the actual passenger load in carriages.

Mutually exclusive feeding yields Holling type III functional response

Abstract Many generalist predators, including fish, insects and mammals, temporarily focus on their search behaviour and can switch between prey species. Flexible and rapid behavioural plasticity enables a predator to forage optimally, as guided by search image formation and prey switching in response to changing prey abundances. More than half a century of studies have used Holling type III functional response to model the impact of this feeding behaviour on population dynamics, yet a mechanistic understanding for the pathway between individual behaviour and feeding rates remains poorly understood. To understand this common feeding behaviour, we developed three mechanistic models using first‐principles to provide direct derivations for the relationship between observed individual behaviour and feeding rates. The derived models yield three novel, generalised functional responses for predators characterised by prey switching and mutually exclusive feeding (i.e. feeding is limited to one prey species at a time). We show how these functional responses act as Holling type III response, and how they can be used to predict predators' diet compositions. Our results demonstrate that several behavioural forms of prey switching, as displayed in a wide range of predator species, consistently produce type III conforming functional responses. Read the free Plain Language Summary for this article on the Journal blog.

The application of big data technology in the innovation and effect analysis of art teaching mode in colleges and universities

Abstract In this paper, for the common behaviors of students in classroom teaching, deep learning and the improved student behavior detection algorithm based on YOLOv5s are used to transform the source data into another high-level and high-abstract data expression to realize the detection of students’ behavior in class. Then, taking into account the real conditions of college students and the internal logic of deep learning and classroom teaching, we sort out the target conditions of college students’ deep learning and their brand-new requirements for college classroom teaching and innovate the art teaching mode in colleges and universities. The innovative art teaching mode is applied in the art classroom teaching of W College of Fine Arts, and the teaching effect is analyzed. The results show that the mean values of students’ evaluation in the five core literacy skills of image literacy, art expression, aesthetic judgment, creative practice, and cultural understanding increased by 12.6, 14.95, 17.66, 12.27, and 19.1 points after the innovation compared with those before the innovation. The above data show that the innovation of art teaching mode can enhance students’ motivation to learn and stimulate their creative passion, thus cultivating their creative ability, making students learn to inherit and carry forward the traditional culture of the Chinese nation, and enhancing their cultural self-confidence and national pride.

Early-time Ultraviolet and Optical Hubble Space Telescope Spectroscopy of the Type II Supernova 2022wsp

We report early-time ultraviolet (UV) and optical spectroscopy of the young, nearby Type II supernova (SN) 2022wsp obtained by the Hubble Space Telescope (HST)/STIS at about 10 and 20 days after the explosion. The SN 2022wsp UV spectra are compared to those of other well-observed Type II/IIP SNe, including the recently studied Type IIP SN 2021yja. Both SNe exhibit rapid cooling and similar evolution during early phases, indicating a common behavior among SNe II. Radiative-transfer modeling of the spectra of SN 2022wsp with the TARDIS code indicates a steep radial density profile in the outer layer of the ejecta, a solar metallicity, and a relatively high total extinction of E(B − V) = 0.35 mag. The early-time evolution of the photospheric velocity and temperature derived from the modeling agree with the behavior observed from other previously studied cases. The strong suppression of hydrogen Balmer lines in the spectra suggests interaction with a preexisting circumstellar environment could be occurring at early times. In the SN 2022wsp spectra, the absorption component of the Mg ii P Cygni profile displays a double-trough feature on day +10 that disappears by day +20. The shape is well reproduced by the model without fine-tuning the parameters, suggesting that the secondary blueward dip is a metal transition that originates in the SN ejecta.

Impact of Dental Features and Treatment of Dental Problems on a Group of Adolescents' Experience of Being Bullied. A Cross-Sectional Study.

Bullying is a common behaviour among adolescents, with psychological and health impacts on both victims and bullies. Recently, bullying due to dental features has received serious attention due to its short- and long-term effects on the health and well-being of children and adolescents. However, there is a scarcity of studies that investigate the impact of treating dental problems on the cessation of bullying. This study aims to identify the impact of dental features and treatment of dental problems on the experience of being bullied. A self-administered, modified version of a validated Arabic questionnaire was distributed to 300 dental patients with an age range of 10-18 years old. The variables studied were demographics, bullying due to dental features, the impact of dental treatment on the experience of being bullied, and the need for a program to stop bullying. Bullying due to dental features is common among adolescents. Treatment of dental problems significantly lessens the act of bullying. Implementing anti-bullying programs that include paedodontists and orthodontists as stakeholders is important.

Applying collective motion models to study discordant individual behaviours within a school of fish.

Computational models of collective motion successfully reproduce the most common behaviours of a school of fish, using only a few elementary interactions between individuals. However, their ability to also reproduce individual behaviours that are discordant from those of the group has not yet been adequately investigated. In this paper, a self-propelled particle model using three interaction zones is considered in relation to the counter-rotation of an individual: a phenomenon observable in real schools of fish milling in a torus, when an individual moves in the same torus but in the opposite direction for a certain period of time. This study shows that the interactions of repulsion, orientation and attraction between individuals moving at constant speed in a three-dimensional space, with asynchronous updating, can generate temporary counter-rotations. The analysis of such events sheds light on the mechanisms that start the counter-rotation and those that end it. Although the contribution of the repulsion interaction is often significant to start and terminate the counter-rotation, it does not prove to be decisive. Indeed, it is observed that even when interactions between individuals are limited to attraction alone, temporary counter-rotations of individuals occur, provided the fish density along the circumference is not uniform. Some of these conclusions, deduced from the simulations performed, are visually consistent with what is observed in some underwater video recordings of milling schools of fish.

Exploratory Analysis of the Self-Harming Behaviors Among University Students

This study examines the self-harming behavior of some university students and determines the types of self-harming behavior these students engage in. A self-report questionnaire on self-harm was used in this study for 319 students. Results of the study show that the most common self-harming behaviors exhibited by the students were banging the head, abusing alcohol, cutting the self, hitting the self, and scratching the self on purpose, while the least common self-harming behaviors include torturing the self with self-defeating thoughts, being promiscuous, distancing self from God as punishment, driving recklessly on purpose, and engaging in emotionally abusive relationships. There is no significant difference in terms of gender among males and females who engaged in self-harming behaviors. However, exploratory analysis identifies significant mean differences in self-harming behaviors between students from different programs. It is recommended that an intervention program should be prepared in order to protect the mental health of the respondents and the university students in general.

The role of partially consumed acorn remains in scatter hoards and their implications in oak colonization

Past studies have revealed the benefits of rodent participation in the colonization process of oak species. Certain rodent species (Apodemus sylvaticus and Mus spretus) partially consume acorns, beginning at the basal part and preserving the embryo. Perea et al. (2011) and Yang and Yi (2012) found that during periods of abundance, the remains left after partial consumption continue to be present on the surface and are not transported to caches, given that they are perceived as leftovers. These remains, produced after several visits by the cache owner or by thieving conspecifics, also appear in the caches. If they are perceived as offal, they will not be attacked and may remain in these stores for longer periods, serving as resources for the cache builder. Our objective is to determine whether these remnants are perceived as offal by the rodent generating them or if the remains left by other rodents are considered offal. This is relevant in cases of theft, a common behavior of this species, if the thieving animals reject the remains. The results suggest that foreign remains and the rodents’ own remains are not rejected, but rather, they are consumed in preference to intact acorns. The intact acorns remain in the cache for longer periods and have a greater opportunity to germinate and emerge. Rodents prefer to consume foreign remains first. This may be due to the fact that, in case of shortage, it is considered advantageous to finish the reserves of a potential competitor before depleting one’s own reserves.Significance statementRodents participate in the acorn dissemination process by constructing surface stores (caches). The rodent species studied here partially consumes acorns, beginning with the basal part and preserving the embryo located at the apical end. These partially consumed acorn remains are considered offal and remain in the caches for longer periods, serving as reserves for the rodent. Our objective is to examine whether these acorn remains are viewed as offal by the rodents. We have found that, to the contrary, they are consumed before intact acorns. Intact acorns remain in the caches for longer periods, assuming the role of reserves and taking on a greater capacity to germinate. This species of rodent differentiates between its own remains and those of others, first consuming the foreign offal. Therefore, their own offal remains in the stores for longer periods and may potentially germinate if the embryo is preserved. This behavior has been demonstrated by this rodent species.

Analysis of High School Students' Pocket Money Use in Smoking Behavior

Indonesia is part of the world's largest cigarette production. Smoking behavior has become a common addictive behavior in Indonesia. For most teenagers, smoking behavior has become a common thing, but parents consider it as something that has a negative connotation. Smoking is an activity that is currently much loved by Indonesian teenagers. Attempts at restrictions related to smoking behavior are very difficult. Many negative effects can be caused by smoking. Cigarettes when consumed can be a source of various health problems such as cancer, heart, and respiratory disorders, as well as other things that are certainly a health hazard for the smoker. The existence of these conditions, of course, endangers the younger generation, and there must be Prevention of smoking activities carried out by young children. This study used literature study research methods. This study uses data collection techniques using secondary data. This study involved cigarette users consisting of high school children. The results of this study showed that high school children in Singkawang City, West Kalimantan use their money to buy cigarettes. Some of those who filled out the survey data knew about cigarettes through the intermediary of friends. The problem of smoking in today's era is that of course it will indirectly harm many people who are around smokers because the user is exposed to cigarette smoke.

The Holistic Life-Crafting Model: a systematic literature review of meaning-making behaviors

Pursuing meaningful life experiences is vital for wellbeing and health. Crafting strategies, such as job crafting and work-life balance crafting, have been developed to create meaning in specific life domains. However, these strategies share common underlying behaviors that transcend specific contexts. Building on this understanding, we propose a comprehensive “holistic life-crafting” approach that integrates overlapping behaviors from various crafting strategies. This study aims to clarify the theoretical conceptualization of life-crafting by identifying common strategies and behaviors underlying different meaning-making crafting approaches. Through a systematic literature search of six databases between January and April 2022, we identified 16,479 published records. Using predefined inclusion–exclusion criteria, 51 records (reflecting five crafting approaches, resulting in 223 different crafting behaviors) remained. Through content analysis, we grouped these behaviors into seven broader crafting strategies, forming the “holistic life-crafting” approach. Findings suggest that life-crafting is a holistic, continuous process of proactive meaning-making by intentionally balancing life demands with available resources and altering life’s cognitive, environmental, interest, relational, skill, and task-related aspects to promote personal growth and wellbeing. The holistic approach encompasses cognitive, environmental, interest, relational, resources-demands, skill, and task crafting strategies. This framework provides a comprehensive understanding of how individuals can actively shape their lives to promote more meaningful life experiences across different domains.Systematic review registrationPROSPERO, identifier CRD42022333930.

X3DFast model for classifying dairy cow behaviors based on a two-pathway architecture

Behavior is one of the important factors reflecting the health status of dairy cows, and when dairy cows encounter health problems, they exhibit different behavioral characteristics. Therefore, identifying dairy cow behavior not only helps in assessing their physiological health and disease treatment but also improves cow welfare, which is very important for the development of animal husbandry. The method of relying on human eyes to observe the behavior of dairy cows has problems such as high labor costs, high labor intensity, and high fatigue rates. Therefore, it is necessary to explore more effective technical means to identify cow behaviors more quickly and accurately and improve the intelligence level of dairy cow farming. Automatic recognition of dairy cow behavior has become a key technology for diagnosing dairy cow diseases, improving farm economic benefits and reducing animal elimination rates. Recently, deep learning for automated dairy cow behavior identification has become a research focus. However, in complex farming environments, dairy cow behaviors are characterized by multiscale features due to large scenes and long data collection distances. Traditional behavior recognition models cannot accurately recognize similar behavior features of dairy cows, such as those with similar visual characteristics, i.e., standing and walking. The behavior recognition method based on 3D convolution solves the problem of small visual feature differences in behavior recognition. However, due to the large number of model parameters, long inference time, and simple data background, it cannot meet the demand for real-time recognition of dairy cow behaviors in complex breeding environments. To address this, we developed an effective yet lightweight model for fast and accurate dairy cow behavior feature learning from video data. We focused on four common behaviors: standing, walking, lying, and mounting. We recorded videos of dairy cow behaviors at a dairy farm containing over one hundred cows using surveillance cameras. A robust model was built using a complex background dataset. We proposed a two-pathway X3DFast model based on spatiotemporal behavior features. The X3D and fast pathways were laterally connected to integrate spatial and temporal features. The X3D pathway extracted spatial features. The fast pathway with R(2 + 1)D convolution decomposed spatiotemporal features and transferred effective spatial features to the X3D pathway. An action model further enhanced X3D spatial modeling. Experiments showed that X3DFast achieved 98.49% top-1 accuracy, outperforming similar methods in identifying the four behaviors. The method we proposed can effectively identify similar dairy cow behaviors while improving inference speed, providing technical support for subsequent dairy cow behavior recognition and daily behavior statistics.

Effect of Smoking on Cancer Surgery Outcomes and Recommendations for Perioperative Smoking Cessation Intervention

Smoking, a common behavior that causes health risks among adults around the world, is closely associated with the risks of developing various kinds of cancers. Nevertheless, the impact of smoking on preoperative risks and postoperative outcomes of cancer surgeries has been largely overlooked. Extensive basic medical and clinical research findings and prognosis data demonstrate that smoking is associated with increased risks of multiple perioperative complications, and that smoking affects the general prognosis of patients. Smoking cessation during the preoperative and perioperative periods effectively reduces these risks and improves the long-term postoperative outcomes of cancer patients. At present, health workers and patients are not giving adequate attention to smoking cessation interventions and the quality of interventions available is poor. Herein, we discussed the necessity of comprehensive and standardized smoking cessation services and made recommendations regarding the implementation of comprehensive and standardized smoking cessation services, providing support for cancer patients to access evidence-based care during the perioperative period.

Fast walking reduces the risk of breast cancer: evidence from a Mendelian randomisation study

ABSTRACT Breast cancer is a prevalent malignancy that poses a serious threat to women’s health. Lifestyle modifications can alter the risk of breast cancer. Walking is a common lifestyle behaviour, but its impact on breast cancer remains unclear. We conducted a Mendelian randomisation (MR) study to explore this issue. Independent genetic variants closely associated with usual walking speed were selected as instrumental variables from publicly available genome-wide association studies (GWAS) databases. Genetic data on the estrogen receptor (ER) status of breast cancer and breast cancer were obtained from a large-scale GWAS meta-analysis. Inverse variance-weighted regression analysis revealed that brisk walking speed was associated with a lower risk of breast cancer [OR = 0.69; 95%CI = (0.54, 0.88); P = 0.006] and lower risk of ER− breast cancer [OR = 0.60; 95%CI = (0.38, 0.91); P = 0.018]. However, walking speed was not associated with the risk of ER + breast cancer [OR = 0.92; 95%CI = (0.70, 1.25); P = 0.641]. MR-Egger intercept and MR-PRESSO tests did not reveal significant levels of pleiotropy or heterogeneity, respectively. Sensitivity analyses also confirmed the robustness of the results. Our study provides strong evidence that faster walking speeds may reduce the risk of breast cancer and that a more widespread adoption of moderate or high-intensity exercise may be effective in reducing women’s health risks.

Structural insights into ACE2 interactions and immune activation of SARS-CoV-2 and its variants: an in-silico study

The initial interaction between COVID-19 and the human body involves the receptor-binding domain (RBD) of the viral spike protein with the angiotensin-converting enzyme 2 (ACE2) receptor. Likewise, the spike protein can engage with immune-related proteins, such as toll-like receptors (TLRs) and pulmonary surfactant proteins A (SP-A) and D (SP-D), thereby triggering immune responses. In this study, we utilize computational methods to investigate the interactions between the spike protein and TLRs (specifically TLR2 and TLR4), as well as (SP-A) and (SP-D). The study is conducted on four variants of concern (VOC) to differentiate and identify common virus behaviours. An assessment of the structural stability of various variants indicates slight changes attributed to mutations, yet overall structural integrity remains preserved. Our findings reveal the spike protein’s ability to bind with TLR4 and TLR2, prompting immune activation. In addition, our in-silico results reveal almost similar docking scores and therefore affinity for both ACE2-spike and TLR4-spike complexes. We demonstrate that even minor changes due to mutations in all variants, surfactant A and D proteins can function as inhibitors against the spike in all variants, hindering the ACE2-RBD interaction. Communicated by Ramaswamy H. Sarma

DDX3X Syndrome Behavioral Manifestations with Particular Emphasis on Psycho-Pathological Symptoms-A Review.

(1) Background: Identification of typical behavioral manifestations in patients with DEAD-Box Helicase 3 X-linked gene (DDX3X) variants plays a crucial role in accurately diagnosing and managing the syndrome. The objective of this paper was to carry out a review of medical and public databases and assess the behavioral features of the DDX3X syndrome (DDX3X), with a particular focus on psycho-pathological symptoms. (2) Methods: An extensive computerized search was conducted in various databases, including PubMed, Medline Complete, Science Direct, Scopus, and Web of Science. Specific keywords and Medical Subject Headings were used to ensure the inclusion of relevant studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were applied to assess the methodological quality of the manuscripts. (3) Results: Only nine papers out of the 272 assessed met the inclusion criteria. These articles revealed various psycho-pathological manifestations in patients with the DDX3X syndrome. Intellectual disability (ID) or developmental disability (DD), speech delay, autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), generalized anxiety disorder (GAD), self-injurious behaviors (SIBs), sensory symptoms and sleep disturbance were demonstrated to be the most common psycho-pathological behavior manifestations. (4) Conclusions: Patients with the DDX3X syndrome manifest a wide spectrum of psycho-pathological symptoms. A comprehensive investigation of these symptoms in patients is essential for early diagnosis and effective therapy.

The Impact of Dissonant Tie on Innovation Performance of Digital Transformation

The acquisition of innovation performance through social network relationship resources is a common behavior pattern of organizational members. Recent social network research suggests that negative ties may also have a positive impact on organizational innovation compared with positive ties. Based on this, the paper investigates the impact of dissonant tie, which are a combination of problem-solving tie and difficult working tie, on organizational innovation. The empirical results show that dissonant tie promotes organizational innovation performance and are enhanced by digital sensing and digital seizing, while the increasing effect of the dissonant tie on organizational innovation performance is not verified under the moderating effect of digital reconfiguring. The findings are useful for understanding why certain negative ties may promote organizational innovation and performance, and to provide a theoretical basis for how manufacturing companies can use complex social network ties to survive organizational change and enhance organizational adaptability in digital transformation.

PSXIII-6 Effects of High Humidity Under High-Temperature Conditions on Growing Pigs

Abstract Global warming and climate change have become major concerns. These changes have led to more frequent and prolonged heat waves, resulting in economic losses for livestock industry. Pigs are particularly vulnerable to heat stress under high temperatures due to their thick skin layers and limited sweat glands. Panting is a common behavior in pigs to dissipate heat through evaporation, but this process is less effective in high humidity environments. This study was conducted to investigate the effects of high humidity under high temperature conditions on rectal temperature, growth performance, blood profiles, and immune responses of growing pigs. A total of 48 growing pigs [(Landrace × Yorkshire) × Duroc; initial body weight (BW): 23.21 ± 3.77 kg] were randomly assigned to two environmental treatments (2 pigs/pen; 12 replicates/treatment) in a randomized complete block design (block = initial BW): thermal neutral conditions (TN: 23.5℃, 35%) and heat stress conditions (HS: 32.5℃, 80%). Throughout two weeks of experiment, the pigs had ad libitum access to a basal grower diet based on corn and soybean meal. The rectal temperature of each pig was measured daily throughout the experimental period to monitor changes in body temperature. Blood samples were collected from 1 pig per pen at the beginning and end of the experiment. Measurements included growth performance [BW, average daily gain (ADG), average daily feed intake (ADFI), and gain to feed ratio], blood profiles [the number of white blood cells (WBC), red blood cells, hemoglobin, hematocrit, and platelet] measured by an automated hematology analyzer calibrated for porcine blood, and immune responses (cortisol, tumor necrosis factor-alpha, interleukin-6, interleukin-1beta, and transforming growth factor-beta1) by the ELISA kits. Statistical analysis was performed using the general linear model procedure of the SAS program. Experimental unit was a pen. The statistical model included environmental treatment as a main effect and BW as a covariate for rectal temperature, growth performance, blood profiles, and immune responses. During the entire experimental period, the mean rectal temperature was 39.9℃ for TN and 40.5℃ for HS. Pigs under HS had decreased (P < 0.05) ADG and ADFI than those under TN. The WBC counts of pigs under HS were decreased (P < 0.05) than those under TN. In contrast, serum cortisol concentrations of pigs under HS were greater (P < 0.05) than those under TN. In conclusion, this study suggests that exposure to high humidity in combination with high temperatures has a negative impact on the growth performance and immune responses of growing pigs.

More than just a game: Understanding how internet games are used in times of stress

Problematic Internet gaming is considered a type of behavioural addiction, but such a perspective carries a risk of pathologising common behaviours and stigmatising non-problematic Internet gameplay. The mechanisms underlying problematic Internet gaming are complex and to gain a better understanding it is important to investigate the real-life experiences of gamers. This study aimed to give insight into the experiences of people who have played World of Warcraft (WoW) in times of real-life stress. A convergent mixed-methods approach was used to combine both qualitative and quantitative data (N = 46) which were collected from a larger survey of adult WoW players. First, qualitative data were subjected to thematic networks analysis, and themes related to playing WoW to cope with stress were identified. Second, integration of themes and scores on a measure of Negative Gaming Outcomes (NGOs) was made. Findings suggested that escapism in the online video game context taps into three distinct concepts: avoidance, distraction, and immersion. While distraction and immersion emerged as a form of self-care, avoidance as playing to forget was linked to more problematic outcomes. Participants displayed present and retrospective awareness that their gaming had become problematic, supporting the notion that there may be two pathways to problematic Internet gaming – one temporarily limited (e.g., a temporary reaction to an event) which may remedy itself, and the other leading to more pervasive and persistent problems related to maladaptive coping strategies. This research helps to elucidate how gamers respond to stress and offers new insight into how their responses translate to problematic gaming outcomes.

A consensus model considers managing manipulative and overconfident behaviours in large-scale group decision-making

When dealing with large-scale group decision-making problems, the central emphasis lies in the objective and rational acquisition of a collective opinion acceptable to the majority of decision makers. Manipulative and overconfident behaviours are two common behaviours that make the decision results deviate from the objective facts in the decision-making process. To manage manipulative and overconfident behaviours in decision-making, this paper investigated a novel consensus model based on social networks. A novel efficient clustering model is first proposed in the model, in which the subgroups' combined cohesion is considered. Furthermore, for the manipulative behaviour of decision makers, we proposed an improved method for the identification and management based on trust relationships. In the consensus reaching process, we proposed a new identification mechanism to promote consensus reaching effectively. In the feedback mechanism, the social network DeGroot model is employed to adjust the opinions of decision makers. Moreover, a management approach is proposed for the overconfident behaviour of decision makers in the social network DeGroot model. Lastly, the feasibility and applicability of the proposed model are verified by an illustrative example. Simulation experiments and comparative analysis demonstrate the effectiveness of the model in facilitating consensus reaching.