bluuebunny/crossref_metadata_2025 huggingface dataset:
Effectiveness of an Educational Package Based on the Theory of Five-Factor Positive Thinking Skills on Psychological Capital Components in Adults
Authors: Chamzadeh Ghanavati Mana , Golparvar Mohsen , Farhadi Hadi
Published: April 2024

Objective: This research aimed to assess the effectiveness of an educational package based on the theory of five-factor positive thinking skills on psychological capital in adults. Methods and Materials: The method was a quasi-experimental design with two groups and three stages: pre-test, post-test, and follow-up. The sample consisted of 40 individuals (20 females and 20 males), selected through purposive sampling and randomly assigned to either the experimental group (20 people, males and females) or the control group (20 people, males and females). The Psychological Capital Questionnaire by Luthans et al. (2007) was used for data collection. The training group received 8 sessions of 100 minutes each, while the control group received no training. Data were analyzed using repeated measures analysis of variance and Bonferroni post hoc test. Findings: Results indicated that in the variable of psychological capital, the components of self-efficacy, hope, optimism, and resilience showed significant differences between the pre-test and the post-test/follow-up stages (p < 0.01), meaning that the training in five-factor positive thinking skills was effective in the post-test phase and this effectiveness was sustained and enhanced up to the follow-up stage. Conclusion: Given the impact of the findings, the use of this training in psychological associations and counseling centers is recommended.
Investigating the Relationship Between Problematic Social Media Use and Dark Personality Traits with the Mediating Role of Emotion Regulation Among Adult Instagram Users in Tehran
Authors: Jamshidi Sara , Noferesti Azam , Farahani Hojjatollah
Published: April 2024

Objective: The aim of the present study was to investigate the relationship between problematic social media use and dark personality traits with the mediating role of emotion regulation among adult Instagram users in Tehran. Methods and Materials: The research method was descriptive-correlational and utilized a structural equation modeling approach. The population included all adult Instagram users (aged 18 to 80) in Tehran in the year 2022. The sample consisted of 306 individuals selected through convenience sampling. The questionnaires used in the study were the Mobile Social Networking Addiction Scale by Khajeh Ahmadi et al. (2016), the Dark Personality Traits by Jonason and Webster (2010), Emotion Regulation by Gratz and Roemer (2004), and Self-Compassion by Neff (2003). Data analysis was performed using Structural Equation Modeling and Amos.22 software. Findings: The results showed a significant positive relationship between problematic social media use and dark personality traits (p = .001, β = .523). There was a significant positive relationship between emotion regulation and dark personality traits (p = .001, β = .376). A significant positive relationship existed between problematic social media use and emotion regulation (p = .001, β = .602). Moreover, the indirect path coefficient between problematic social media use and dark personality traits was negative and significant (p = .001, β = -.275). The indirect path coefficient between problematic social media use and dark personality traits through emotion regulation was positive and significant (p = .001, β = .226). Emotion regulation significantly mediated the relationship between problematic social media use and dark personality traits in a positive manner. Conclusion: It can be concluded that emotion regulation is an important component in predicting problematic Instagram use.
Effectiveness of Positive Psychology on Self-Control and Resilience in Nursing Assistants
Authors: Mousavi Seyed Javad , Torkan Hajar , Yousefi Zahra
Published: April 2024

Objective: Nursing assistants, due to their sensitive and serious work, have an urgent need to enhance their capabilities. Accordingly, this research aimed to compare the effectiveness of positive psychology training on self-control and resilience among nursing assistants. Materials and Methods: The present study is a quasi-experimental research conducted in three phases: pre-test, post-test, and follow-up with a control group. The statistical population consisted of nursing assistants in the city of Isfahan during the years 2021-2022, from which 45 nursing assistants were purposively selected and divided into three groups (each group containing 15 individuals). The Tangney et al. (2004) Self-Control Scale and the Connor-Davidson Resilience Scale (2003) were used to measure the dependent variable at three stages. Two training groups, each underwent 8 sessions of 75 minutes of training, and the control group did not receive any treatment. Data were analyzed using repeated measures analysis of variance and Bonferroni post hoc test through SPSS software version 26. Findings: The results showed that there is a significant difference in self-control and resilience between the positive psychology training and the control group (p < 0.01). Conclusion: Considering the effectiveness of positive psychology training in enhancing self-control and resilience, it is recommended that this approach be employed in hospitals for nursing assistants.
Sociological Investigation of Factors Influencing Extramarital Relationships in Couples from Bandar Abbas
Authors: Fekoor Maryam , Khodami Alireza , Piltan Fakhrosadat
Published: April 2024

Objective: Extramarital relationships represent one of the most significant threats to the stability of marital relationships and are among the leading causes of divorce across various cultures. Given the social and cultural context of Iran, the importance of religious boundaries in relationships between women and men, and the prevalence of these relationships as indicated by statistics published by the Welfare Organization, extramarital affairs are recognized as a social issue. Methods and Materials: Since solving a problem without descriptive studies and identifying the processes affecting the emergence of the problem is not feasible, the current qualitative study was conducted through problem-centered interviews with 19 participants (13 women and 6 men). Findings: The results showed that the most significant factors include the ineffective presence of the man in the home, a history of marital infidelity in the family and acquaintances, forced marriage based on traditional criteria, differing social classes of the spouses, the opportunity for infidelity in society and the workplace with colleagues of the opposite sex, and the disappearance of traditional norms, changes in attitudes towards marriage and family values, lack of adherence to ethical and religious values, forced marriage based on traditional criteria, spouse addiction to drugs and psychotropic substances, inappropriate living environment and the presence of seducers, influence from social networks, having a previous marriage, stinginess, and suspicion and cynicism of the spouse, and changes in the normative structures of society as the most significant background and intervening factors in the creation and expansion of extramarital relationships. Conclusion: This study demonstrated that extramarital relationships and infidelity are complex and multidimensional phenomena, and individuals are inclined towards marital infidelity for various reasons. Therefore, this phenomenon should be approached considering these complexities, and a single solution cannot be offered to everyone.
The Efficacy of Cognitive-Behavioral Couple Therapy on Communication Beliefs and Marital Burnout among Couples on the Verge of Divorce
Authors: Vaslehchi Tahmineh , Alizade Moghaddam Arezo , Ehsanfar Maryam , Hajiyousefi Elnaz , Abbasi Niloufar
Published: April 2024

Objective: The purpose of the current research was to determine the efficacy of cognitive-behavioral couple therapy on communication beliefs and marital burnout among couples on the verge of divorce. Methods and Materials: The study employed a quasi-experimental pretest-posttest design with a control group. The population consisted of couples seeking divorce who visited counseling clinics in Tehran in the year 2022, with 32 individuals being conveniently selected and randomly assigned to either the experimental or control group, each comprising 16 members. Data were collected using the Communication Beliefs Questionnaire and the Marital Burnout Questionnaire. The cognitive-behavioral couple therapy intervention for the couples in the experimental group was conducted over eight weekly sessions, each lasting an hour and a half, while the control group was placed on a waiting list. Findings: The findings indicated that there were significant differences in post-test scores between the experimental and control groups in terms of communication beliefs and marital burnout. Conclusion: Therefore, cognitive-behavioral couple therapy has an effect on communication beliefs and marital burnout among couples on the verge of divorce.
Comparing the Effectiveness of Mindfulness-Based Cognitive Behavioral Therapy and Reality Therapy on Self-Differentiation in Couples Seeking Divorce
Authors: Yahyavi Gargari Roghayeh , Farshbaf Maneisefat Farnaz , Etemadnia Mahin
Published: April 2024

Objective: The current research aimed to compare the effectiveness of mindfulness-based cognitive-behavioral therapy and reality therapy on self-differentiation in couples seeking divorce. Methods and Materials: This study was a quasi-experimental type with a pre-test, post-test, and follow-up design including a control group. The statistical population consisted of all couples seeking divorce referred by the judiciary to the psychoanalytic center of Jolfa city from spring to winter of 2022. The sample included 45 individuals who were selected using inclusion and exclusion criteria through purposive sampling. After selecting the sample members, the selected individuals were randomly (via lottery) placed into three groups of 15. After sampling, two experimental groups and one control group received group mindfulness-based cognitive-behavioral therapy in 8 sessions of 90 minutes (weekly) and group reality therapy in 8 sessions of 90 minutes (weekly), respectively, while the control group did not receive any treatment. Data were collected using the Self-Differentiation Questionnaire (DCI-SF) and analyzed using mixed ANOVA and Bonferroni post-hoc test with the help of SPSS-24. Findings: The findings indicated that there is a significant difference between the overall mean of self-differentiation in the two groups of mindfulness-based cognitive-behavioral therapy and reality therapy, with mindfulness-based cognitive-behavioral therapy having a greater impact on self-differentiation (P<0.05). Conclusion: Based on the results, both mindfulness-based cognitive-behavioral therapy and reality therapy are effective in improving self-differentiation in couples seeking divorce. It can be concluded that mindfulness-based cognitive-behavioral therapy is preferable over reality therapy.
Investigating the Relationship Between Coping Styles, Alexithymia, and Management Styles with Job Satisfaction (Case Study: The Employees of the Maad Group)
Authors: Miri Samira Sadat , Zahiri Hoshang
Published: April 2024

Objective: The personnel of any organization are considered its most principal and enduring assets; hence, understanding their needs for the implementation of organizational programs is essential. The present study aimed to investigate the relationship between coping styles, alexithymia, and management styles with job satisfaction among the employees of the Maad Group. Materials and Methods: The research method of this study was descriptive-correlational. The study population consisted of employees of the Maad Group in Tehran in the year 2021, from which 127 individuals were selected through convenience sampling. The research instruments included the Smith, Kendall, and Hulin Job Satisfaction Questionnaire (1969), the Short Form of the Coping Strategies Questionnaire by Endler and Parker (1990), the Toronto Alexithymia Questionnaire (1986), and the Schmitt Management Styles Questionnaire (1998). Data were analyzed using Pearson's correlation coefficient and SPSS software version 22. Findings: The results showed that there was a significant positive correlation between job satisfaction and democratic management style, goal-oriented management style, participative management style, and laissez-faire management style, as well as coping strategies (P<0.01). There was also a significant negative correlation between job satisfaction and alexithymia (P<0.01). A significant positive relationship existed between job satisfaction and problem-focused coping styles, while a significant negative relationship was found with emotion-focused and avoidance coping styles (P<0.01). Significant relationships were observed between job satisfaction and identifying feelings, difficulty describing feelings, and externally-oriented thinking (P<0.01). Conclusion: It can be concluded that there is a relationship between coping styles, alexithymia, and management styles with job satisfaction.
Structural Modeling of Trust in Couples Affected by Infidelity Based on Emotional Schemas with the Mediation of Communication Patterns
Authors: Miri Neda , Zarbakhsh Bahri Mohammadreza , Ghorban Shiroudi Shohreh
Published: April 2024

Objective: Extramarital relationships are among the factors that challenge family health and are the most important threat to the performance, stability, and continuity of marital relationships. The purpose of this study was to model structurally the trust in couples affected by infidelity based on emotional schemas with the mediation of communication patterns. Methods and Materials: The research design was correlational of the structural equation modeling type. The study population consisted of all couples affected by infidelity who attended counseling centers in the cities of Noushahr, Chalous, and Tonekabon from May to August 2021. The research sample comprised 300 individuals from among men and women affected by infidelity (240 women and 60 men) selected through convenience sampling. The research tools included the Emotional Schema Scale (ESS-P) by Leahy 2002, a 37-item version, the Communication Patterns Questionnaire, and the Trust Scale in Interpersonal Relationships. All analyses were performed using structural equation modeling with the assistance of SPSS26 and AMOS24 software. For analyzing mediating relationships, the bootstrap method in the Preacher and Hayes (2008) MACRO program was used. Findings: The results showed that adaptive emotional schemas indirectly affected trust in couples affected by infidelity through the mediation of communication patterns (P<0.01). Conclusion: The results of this study can provide useful intervention strategies for improving the communication patterns of couples and assessing their emotional schemas.
Effectiveness of Acceptance and Commitment Therapy on Psychological Flexibility, Emotional Self-Regulation, and Stress Coping Styles in Mothers of Children with Specific Learning Disorders
Authors: Shafiei Zahra , Ghamari Mohammad , Seadatee Shamir Aboutaleb
Published: April 2024

Objective: This research aimed to investigate the effectiveness of Acceptance and Commitment Therapy (ACT) on psychological flexibility, emotional self-regulation, and stress coping styles in mothers of children with specific learning disorders. Materials and Methods: This quasi-experimental study employed a pre-test, post-test, and a three-month follow-up design. The study population included all mothers of children with specific learning disorders enrolled in the fifth grade of primary schools in District 17 of Tehran during the 2021-2022 academic year, from whom 40 participants meeting the inclusion criteria were selected through purposive sampling and randomly assigned into two groups of 20. Data collection was conducted using the Cognitive Flexibility Inventory (Dennis & Vander Wal, 2010), the Emotional Self-Regulation Questionnaire (Larsen & Prizmic-Larsen, 2004), and the Coping with Stressful Situations Questionnaire (Parker & Endler, 1994). Data analysis was performed using mixed ANOVA with SPSS version 25. Findings: Results indicated that Acceptance and Commitment Therapy is effective in improving scores of psychological flexibility, emotional self-regulation, and stress coping styles (P<0.001). Conclusion: Given the effectiveness of Acceptance and Commitment Therapy in mothers of children with specific learning disorders, psychologists and counselors working in this field are advised to utilize these educational and therapeutic methods to enhance psychological flexibility, emotional self-regulation, and stress coping styles in this population.
Thin reservoir prediction technology with sensitive parameters of tight gas in southwest Ordos Basin
Authors: Guo Songling , Song Lijun , Wang Shicheng , Li Jinfu , Tian Yuanyuan
Published: April 2024

In the southwest of Ordos Basin, the loess layer is very thick, the surface elevation changes rapidly, and the near-surface low-velocity zone velocity changes greatly in vertical and horizontal directions, resulting in prominent static correction problems. Affected by the strong absorption of the loess layer, the effective frequency band of the original data is narrow, the apparent main frequency is low, and the "double high" processing is difficult. The reservoirs of He-8 and Shan-1 are deep-buried, thin and dense, and their lateral changes are fast. In this paper, the sensitive data of "two widths and one height" 3D seismic is optimized to obtain high-quality sensitive data. The sensitive orientation is optimized by combining drilling data, and the sensitive parameter based on pre-stack inversion technology is adopted to improve the prediction accuracy of thin reservoirs. The new Chengtan-3-Long19 He-8 sand belt was discovered, the well location deployment plan was optimized, the efficient drilling of horizontal Wells was supported and the fracturing plan was optimized. 26 well locations were deployed using 3D seismic, 11 were completed drilling, and 9 were class I + II, an increase of 30% compared with 2D seismic.
Visual research on data distribution of electric vehicle charging piles in China
Authors: Yang Kai , Yu Jiali , Liang Shuyi , Zhan Jiayi , Zeng Pengpeng , Cai Huahui
Published: April 2024

With the popularity of electric vehicles, the demand for charging piles is also increasing. It is of great significance that the distribution of electric vehicle charging piles is studied for urban planning, traffic management and energy policy. This paper discusses the distribution of charging piles in China using visual charts, analyzes in detail the growth in the number of charging piles of different companies, the characteristics of geographical distribution, and the types of charging pile. Meanwhile, the differences in the distribution of charging piles in different types of cities are discussed using Shanghai and Nanchang as examples. Through the analysis of these data, the charging pile network structure can be further optimized, a valuable reference basis is provided for urban planning and the development of electric vehicles.
A bridge damage monitoring and assessment strategy based on Gaussian mixture modelling
Authors: Li Heng , Wu Yitong , Xu Shaohua , Zheng Mingde , Zhang Wentao , Zheng Feiyu
Published: April 2024

For the bridges equipped with health monitoring systems, it is essential to precisely assess the health status of the bridge from the data with noise and outliers. An improved Gaussian mixture model clustering algorithm is used to process the obtained bridge strain sensor monitoring data and generate the characteristic data of clustering in order to improve the accuracy of data analysis of bridge health monitoring system. The cluster and feature data are obtained by Expectation Maximization process, and the isolated clusters are filtered out by the threshold parameters of weight and the Euclidean distance between clusters center. Based on the feature data, a scoring strategy is established to assess the bridge health and sensor status. The proposed strategy is used to analyze the monitoring data of a bridge in western China, and the analysis results show the availability of this strategy. Compared with the directly collected data, the processed bridge health scoring curve variation is smooth, which can reduce the influence of noise and abnormal data. The sensor status scoring curve can track changes in collected data and respond to different transformation scenarios. This shows that the proposed strategy can evaluate the state of this bridge and the sensors. provided a reference for bridge maintenance decision during the operational period.
Graphene quality evaluation by Van der Pauw-Hall Method
Authors: Liu Chunlin
Published: April 2024

Evaluating graphene quality is crucial for both industrial applications and academic research. Traditional methods like Optical Microscope, Raman Spectroscope, Scanning and Transmission Electron Microscope, while common, face challenges in convience and providing electrical performance. To address these limitations, a cost-effective and rapid method was introduced for assessing macroscopic quality of graphene. This technique involves fine-tuning carrier concentration over 1013 cm-2 by controlling hydrochloric acid (HCl) doping time. Utilizing the Van der Pauw-Hall system, it tracks carrier concentration changes of graphene, allowing for mobility measurement under consistent carrier conditions. This facilitates a direct comparison of different graphene samples. The method shows reproducibility in evaluating HCl-doped graphene, which is consistent with the Raman characterizations. This advancement in graphene evaluation, focusing on mobility comparison at identical carrier concentrations, sets the stage for standardized assessments in the graphene industry.
Phase Field Crystal Methods for Bilayer Graphene
Authors: Liu Kai
Published: April 2024

Bilayer graphene has been a subject of intense study in recent years. We extend a structural phase field crystal method to include an external potential based on the generalized stacking-fault energy that accounts for the effect from a bottom layer of graphene. Both of the favored stacking variants are found with randomly generated initial phase fields. Using the width of the boundaries between different stacking variants as a function of the interactions between the two layers, we quantify the exact strength of the external potential by comparing the phase field crystal simulations with the results from atomistic simulation. We simulate a circular grain of one stacking phase enclosed by the other and find that, depending on the initial phase field, the center domain may shrink to form a uniform stacking phase, or may evolve to a relaxed state of a hexagon region or a triangular region that at each vertex the graphene structure is defected.
A study of the frequency characteristics of downhole penetration by Audio electric perspective method
Authors: Li Hang , Li Hao , Wang Xuejiao , Xu Tong
Published: April 2024

There are many factors affecting the safe production of coal mines, and mine water damage is the most prominent one. In the field operation, we should find out the old air water, water-rich aquifer and geological structure of the mining face and its surroundings, so as to eliminate the hazards of mine water damage to the people's lives and properties. At present, there are many mature and effective methods for underground anomaly detection, and this paper adopts the audio electro-optical perspective method for early warning detection of mine water-bearing areas. First of all, through the reasoning research on the basic theory of electromagnetic field, the equivalent principle of low-frequency alternating current (AC) and direct current (DC) is deduced, which provides the theoretical basis for the research of audio electro-optical perspective; then, through the COMSOL simulation experiments, the penetration frequency characteristics of the downhole are investigated, and the optimal penetration frequency is found in different depths by comparing the strength and stability of the signals. The results of the study have promoted the significance for the improvement and development of the audio electro-penetration method, and have greater reference value for the prevention and control of water damage in coal mines.
Design of Production Line of 2000 Tons of Fermented Milk Beverage with Annual Output of Whole Bean
Authors: Li Baoyu , Li Dianxin , Li Dongmei , Hao Zhiming , Lai Danmei , Xu Jiayan Xu , Yuan Lipeng
Published: April 2024

The whole soybean fermented milk beverage designed by this production line is a beverage made of soybean as raw material and fermented under the fermentation action of compound probiotics. The design optimizes the production line of whole soybean fermented milk beverage with an annual output of 2000t and strictly refers to the relevant national regulations to determine the process design, material balance, equipment selection, water and electricity estimation, and workshop design of the whole soybean fermented milk beverage production line. Finally, the technical and economic analysis of the scheme shows that the fixed investment of the project is 7.95 million yuan, the annual production cost is 15193.72 million yuan, the total profit after tax reached 16.80628 million yuan, the construction period is 1 year, and the payback period is expected to be about 2 years.
Study on Clarification Effect and Stability of Fragrans Mead by Clarification Process
Authors: Xia Qing , Chao Cheng , Chen Jing , Zhang Xiaying , Lv Kaibo
Published: April 2024

In order to study the best clarification conditions of osmanthus honey wine, single factor experiment and orthogonal experiment were used. The experimental results show that: When the type of clarifying agent was chitosan, the concentration of clarifying agent was 0.25%, and the clarifying time was 14 h, the maximum light transmittivity was 80.8±0.10%. After cold and hot treatment, standing at room temperature and oxidation stability test results showed that the stability of osmanthus honey wine with chitosan and potassium pyrosulfite was the best, and the wine body could not only maintain the flavor of the original wine, but also maintain the flavor of the original wine. The storage time is longer.After clarification, the sensory evaluation of the product was 86.9±0.69 points, the light transmittance was 80.8±0.10%, and the alcohol content was 6.4±0.05 %Vol.
Structure And Material Research For SFRC Pavement
Authors: Zuo Yang , Wang Junyi
Published: April 2024

The thesis,on the basis of summarizing the present study and appliance at abroad and home, integrates the present test standard with the special environment of pavement, to discuss systemically the design theory of pavement for supplying the reliable theory for the design. Then, ANSYS is used to make the stimulation calculation of SFRC, and to analyze the result, then as well as to put forward the slab length about 16m; Finally, to test the major property of SFRC verifies the favorable property of Steel fiber reinforced concrete, and connecting the practical conditions of pavement, by the structure design, verifies the feasibility of applied to supply a better way for designing the pavement.
Highway roadside landslide stability analysis and management research
Authors: Chen Zhiqiang
Published: April 2024

In order to manage the landslide on the side of a highway, the main sliding surface of the slope was determined by combining the monitoring data; and the finite element model was constructed to analyze the stress field and displacement field of the slope, and it was determined that the stability coefficient of the slope before the reinforcement did not satisfy the requirements of the engineering specification, and it was in the state of understability; the reinforcement scheme of "double-row skid-resistant piles + intercepting and draining Based on the analysis results and experts' opinions, the "double-row anti-slip pile + cut-off drainage" reinforcement scheme is formulated, and numerical analysis is used to analyze the stress and displacement changes of the reinforced slope and anti-slip pile, which verifies the feasibility of the reinforcement scheme. The research results show that: (1) the stability coefficient of the main slip surface of the slope before reinforcement is 0.913, which does not meet the requirements of engineering specifications. (2) The plastic deformation around the anti-slip pile after reinforcement is obviously reduced relative to that before reinforcement, indicating that the reinforcement scheme is effective. (3) The stability coefficient of the main section after reinforcement is improved by 30% relative to that before reinforcement, indicating that the reinforcement scheme is feasible.
Preparation of porous carbon fibres : A review
Authors: Liu Liping , Li Huanting , Zhang Guohua , Li Jianbing
Published: April 2024

Porous carbon fibres(PCF) was extensively applied to energy storage, environment pollution control and healthcare due to their superior electrical conductivity, diverse aperture,high specific surface area and super electrochemical stability.This paper reviewed the methods of preparing porous carbon fibres.The preparing PCF technology mainly included template methods( hard templates,soft templates, dual-templates), electrospinning technology and polymer blend technology. The working principles of different pore-forming techniques were summarized.The contributions of different preparation techniques to improve material properties such as electrochemical properties,adsorption performance,drug sustained-release materials and catalitic activity in practical applications were described.The different preparation methods had their superiorities and places needed improving.It was proposed that develop more advanced template methods to prepare PCF with reasonable cost, zero environmental pollution, high efficiency and easy removal.
Experimental Performance of Filling Material with Modified Red Mud for Roadbed
Authors: Li Chang , Rao Junying , Peng Hao , Cui Hongchao
Published: April 2024

Cement-modified red mud as roadbed filler was investigated through tests, including compaction, California Bearing Ratio (CBR), modulus of resilience (E0), unconfined compressive strength (UCS), and scanning electron microscopy. Optimum moisture content (ω0), maximum dry density(), CBR, modulus of resilience, UCS, and microscopic characteristics of red mud were analyzed in different modified states. An optimal cement admixture for red mud modification was proposed. Results showed that (1) adding cement significantly improved CBR and modulus of resilience, (2) cement-modified red mud exhibited faster initial strength formation, with 7-day UCS over 65% of 28-day UCS, (3) water stability and frost resistance improved significantly with 4% and 6% cement dosing, (4) recommended cement admixture was 1.1% without adverse conditions, but not less than 6% with water immersion. Modified red mud is unsuitable for seasonal frozen regions. The recommended blending and leaching concentration met regulatory requirements, meeting technical, environmental, and economic goals for roadbed filler in highway construction.
Mode of Psychosomatic Medical Integration: Exploring the Pathogenesis of Heart, Brain-body Interaction
Authors: Yang Meng , Bi Yanfang
Published: April 2024

At present, the methods of neuroscience research have been widely used in the field of psychosomatic medical research, and now the mainstream medicine has developed a strong interest in integration, which is also a necessary prerequisite for the greater development of psychosomatic medicine. Explore multidisciplinary, multimodal, the integration of medical treatment, is expected to make patients with psychosomatic disorder treatment effect of progress, so that the causal mechanism of psychosomatic disease in new areas, compared with previous physical and mental medical research, now the neuroscience research results have stronger credibility, nerve medical research will be more psychosomatic medical research mode brings new inspiration, bring new ideas to psychosomatic disease diagnosis and treatment. Based on this, the paper proposed the integration model of mind and physical medicine, and respectively discussed the mechanism of mental and body interaction, body and body interaction, multiple and multiple interaction between mind and body, hoping to provide reference for related work.
Passenger Flow Enhancement Strategies for Metro Operations
Authors: Zou Yan , Wu Chao , Li Pei , Li Yingdi , Shi Yunyang
Published: April 2024

This paper introduces a comprehensive framework for passenger flow enhancement for metro operations. The proposed framework takes into account the state of urban transportation and the forecasting of passenger flow, based on which the internal and external influencing factors on passenger flow are analyzed. By utilizing the Suzhou Metro as a case study, specific strategies for enhancing passenger flow are suggested. This research contributes valuable insights and actionable strategies for metro systems, offering a holistic approach to address the challenges associated with passenger flow enhancement in metro system.
A Metro Passenger Flow Forecasting Model Based On Time-series Evolving Interaction Graph Network
Authors: Han Jianming , Li Pei , Li Long , Li Yingdi , Zhao Hantao
Published: April 2024

Passenger flow forecasting is an important task in metro operation management. In order to achieve more accurate metro passenger flow forecasting, this paper proposes a metro passenger flow forecasting model based on time-series evolution interaction graph. First, by introducing two kinds of inter-station interaction graphs, namely connectivity graph and temporal correlation graph, to capture the potential interaction relationship among metro passenger flow stations. Then, by using the time-series evolving graph, the weights of the graph convolutional neural network are dynamically evolved in time series. Finally, taking Suzhou Metro as an example, the short-term passenger flow of the metro is forecasted. The experimental results show that the Root Mean Squared Error (RMSE) of this model is 34.17, the Mean Absolute Error (MAE) is 16.35, the R-Squared is 0.94, the Mean Absolute Percent Error (MAPE) is 0.21. All evaluation metrics are better than the baseline models, thus verifying the effectiveness and applicability of the metro passenger flow forecasting model based on the time series evolution interaction graph.
Research on blasting vibration prediction based on BFO-LSSVM and its engineering application
Authors: Yang Yong , Qi Zhongyuan , Liu Jian , Li Peng , Yang Zhaowei
Published: April 2024

In order to realize the accurate prediction of blasting vibration, the LS-SVM optimization model based on BFO algorithm is constructed with the help of bacterial foraging algorithm (BFO) and least squares support vector machine (LS-SVM) theory. 30 groups of blasting data are used as training samples to test the prediction accuracy of the model, and the main factors affecting the propagation of blasting vibration are selected as the input factors, such as single shot charge, blasting center distance, elevation difference, blockage, hole depth and other factors as the input factors, and blasting vibration as the output factor of the prediction model. The results show that the prediction accuracy of BFO-LSSVM model is higher than that of LS-SVM model under the same sample size. Taking the measured vibration data of excavation blasting of Wuqiangxi power station as an example, the average error of BFO-LSSVM model is 5.57%, which verifies the feasibility and practicability of the prediction model.
Compressive Strength parallel to grains of Charred Paulownia Wood
Authors: Wu Peihang , Wang Supan
Published: April 2024

Wood is a common flammable in the building fire and the dominant fuel in the wildland fire. In this study, the surface of wood specimens has been pre-heated by various radiative heat fluxes and heating times to achieve varying char layer thicknesses. The compressive strength parallel to grains versus various charring thicknesses has been obtained by an electronic universal testing machine (WDW-20). Experimental results demonstrate that a higher heat flux and longer heating times promote the formation of the char layer, but the compressive strength versus the charring thickness first decreases to its minimum value and subsequently remains stable. For the 7 kW/m2 case, there is a rapid decrease in compressive strength for the 5-7 heating period. For example, the compressive strength is 31.7 MPa after the initial 5-minute period, and 3.69 MPa after the initial 7-minute period. For the radiative heat fluxes from 7 kW/m2 to 10 kW/m2, the reduction rate of compressive strength will increase from 1.32 MPa/min to 3.75 MPa/min for the initial 5-minute period, and increase from 4.95 MPa/min to 5.34 MPa/min for the initial 7-minute heating period. This study helps us understand the influence of charring processes on the mechanical properties of wood and the failure of timber structures.
Safe Operating Conditions of isoperiodic Homogeneous Semi-Batch Reaction Based on Parameter Uncertainties Analysis
Authors: Zhou Rui , Jiang Jiajia
Published: April 2024

Proper operating conditions have a significant impact on the process state of semi-batch reaction. However, various error and bias lead to the uncertainties of parameter, which affect process safety of the semi-batch reaction. In this work, the effect of dimensionless parameters dimensionless adiabatic temperature rise (), Westerterp number (Wt), , dimensionless activation energy (γ), volumetric heat capacity ratio (RH) and relative volume increase (ε) on the temperature of the isoperiodic homogeneous semi-batch reaction are investigated by local sensitivity analysis. The sensitivity of the dimensionless maximum temperature to global parameters is analyzed using the scatter plot method based on Monte-Carlo sampling. Parameter sensitivity results are further quantitatively calculated by the eFAST method. The results indicate that there is a strong linear relationship between the maximum reaction temperature and △τad,0, which exhibits the highest sensitivity index compared to the other parameters. The safety boundary diagram and adiabatic temperature diagram are constructed by considering parameter uncertainty and the effect of parameter uncertainty on the critical criteria is analyzed.
Effect of Equivalent Ratio and Hydrocarbon Ratio on Explosive Characteristics of Synthetic Gas
Authors: Hu Lin , Guo Pinkun
Published: April 2024

With the development of society, the importance of energy is increasing day by day, and more and more people realize the importance of energy for social development.Therefore, people began to explore energy utilization, energy exploitation, clean energy and other fields.Therefore, in order to use coal resources cleanly and efficiently and reduce the damage to the environment, the development of clean coal technology is particularly important.As a kind of clean energy, syngas has been paid more and more attention, so people pay more and more attention to the safety application of syngas. This paper explores its influence on syngas explosion by changing the equivalent ratio of syngas and the ratio of hydrogen and hydrogen.The results show that the maximum explosion pressure of syngas occurs near the equivalent ratio 1.2, the maximum explosion pressure rise rate reaches the maximum near the equivalent ratio 1.5, and the maximum explosion pressure time reaches the minimum near the equivalent ratio 1.5.The change of hydrocarbon ratio does not shift the equivalent ratio of the above result, but only changes its value. The prediction equations for predicting the maximum explosion pressure under different equivalent ratios are obtained
Pyrolysis-recycling Utilization Properties Waste Wind Turbine Composite Blades
Authors: Wang Zhengmin , Wang Ning , You Fei
Published: April 2024

As a clean and environmentally friendly energy, wind energy is developing rapidly. With the development and construction of wind farms, wind turbines have reached their service life in succession and entered the stage of decommissioning. In this paper, the typical waste glass fiber reinforced epoxy resin composites wind turbine blades are studied and discussed, and the mechanical tensile properties and surface micro properties are analyzed. The tensile strength of blade materials pyrolysis residue was measured by universal testing machine, and the pyrolysis experimental residue of blade materials were characterized by SEM, the change law of micro morphology of blade samples in pyrolysis process were analyzed. The results show that when the pyrolysis temperature is 350.0 ℃, the loss rate of elastic modulus of pyrolysis residue of blade materials at this temperature is low, and the pyrolysis residue with good elastic modulus and tensile strength can be recovered.
Steel structure design and analysis of a modern extreme sports center
Authors: Zhang Wan , Zhang Pei , Zhu Jiwei
Published: April 2024

A modern extreme sports center consists of a three-story main structure and ancillary structures. The overall architectural shape is simple and elegant. In order to ensure that the center has the high strength, earthquake resistance, corrosion resistance and other characteristics required for extreme sports venues, while taking into account comfort and aesthetics, the building structure adopts a steel frame structure system. This article uses the PKPM2021-V2.1.1.1 version software to conduct an overall calculation and analysis of this steel structure project, and checks the floor displacement calculated by the elastic method under the action of wind load or frequent earthquake standard values. The results show that the vertical structure of this structure is The deformation of the axial members meets the requirements of the code; the displacement ratio and inter-story displacement ratio of the structure under the action of specified horizontal seismic forces considering the influence of accidental eccentricity are checked, and the results show that the structure does not belong to torsional irregularity; the overturning resistance of the structure is checked and The shear-to-weight ratio was calculated and the results showed that the stability of the structure met the specification requirements. It can be seen from the above calculation and analysis that this structure can meet the specification requirements under various working conditions, and the structural design is safe and reliable.
Imbalanced credit risk prediction based on data fillers and modified balanced random forest improved by Bayesian optimization
Authors: Zhang Hongyu , Ye Zhenjun
Published: April 2024

Based on the distribution characteristics of financial big data, credit risk prediction models often face some problems, such as unbalanced data distribution and difficult data preprocessing process. High-precision models are often accompanied by low model efficiency. Therefore, this paper constructs a complete non-equilibrium credit risk prediction model, namely BO-PBRF, and improves the algorithm to deal with common problems in financial data. In the data preprocessing stage, two missing value fillers are generated according to the original data to facilitate the subsequent new data processing. In the modeling stage, we improve the balanced random forest algorithm, so that the model can not only deal with unbalanced data sets, but also suitable for the background of the explosive development of financial big data, and improve the operation speed of the model. In addition, in the process of establishing the model, we add the Bayesian optimization algorithm to further improve the accuracy of the model, especially in the prediction of default loans. In order to verify the effectiveness of the model proposed in this paper, in the empirical research, we select the credit data from the real world, and compare the model proposed in this paper with the previous models. The experimental results show that the proposed model has the best prediction performance for default data.
Constructing a Fraud Risk Early Warning Model for Chinese Listed Companies Driven by Heterogeneous Data
Authors: Chen Yunbai
Published: April 2024

In this paper, we propose a model for early warning of fraud risk among Chinese listed companies, leveraging the capabilities of heterogeneous data analysis. Given the complexity and multidimensionality of corporate fraud, our model integrates multiple data sources including financial reports, market behavior, and the sentiment of annual report texts, representing diverse sets of heterogeneous data. This approach employs advanced data processing techniques to handle and amalgamate heterogeneous data, ensuring robustness and accuracy. Utilizing machine learning algorithms, the model not only detects potential fraud signals but also quantifies the level of risk, providing stakeholders with a dynamic predictive tool. This research offers a comprehensive data-driven approach to fraud detection in the corporate sector, underscoring the importance of meticulous risk assessment using various data streams. It marks a critical step in proactive fraud management in an increasingly complex financial environment.
The Impact of Perceived Overqualification on Time Banditry Behavior from the Perspective of LMX
Authors: Yi Qinghua
Published: April 2024

Time banditry behavior is a negative extra-normative behavior, which has a negative impact on employee and organizational performance. However, it is easy to be ignored because of its strong concealment. In view of this, based on the equity theory, this study explores the influence mechanism of perceived overqualification on time banditry behavior. The results of a two-stage questionnaire survey of 430 employees show that the perceived overqualification positively affects employees' time banditry behavior; the perception of leader-member exchange relationship plays a partial mediating role in the process of perceived overqualification affecting time banditry behavior. Organizational chaxu climate positively moderates the mediating effect of leader-member exchange relationship perception.
Tourism Management Modelling: What It Does and Does Not
Authors: Li Li
Published: April 2024

The article presents a critical review of my past attempts in social phenomenon modelling. The review brings up issues embedded in positivist paradigm that are concerned with the cause-effect covering law based on purely events regularities, ontological conflation, and the symmetry principle of positivism i.e., explanation = prediction. Incorporating new realist thinking in contemporary philosophy of critical realism, practical solutions are suggested to overcome the issues, which encourage the use of mixed methods, analytical dualism, application of realist notion of causal laws, and that of not lawlike predictions.
Optimization on Providing Schema of Digital Products with Characteristics of Users and Target Market
Authors: Li Wei , He Yanpeng , Ma Shugang
Published: April 2024

The decision of providing schema is vital significant for the digital products firms, and firms need to decide whether they should sell the whole (or parts of) functionalities or adopt the subscription strategy (allow the users to pay-per-use when they intend to enjoy these functionalities). The characteristics of users’ preference and firms’ target market are the important perspective to explore this problem. The current work develops a matrix from the dimension of the characteristics of users’ preference and firms’ target market and shows that, if the users’ preference is stable, the digital products firms are supposed to sell the whole (parts of) functionalities when the firms’ target market is the common (specialized) market; however, if the users’ preference is variable, the digital products firms are supposed to adopt the subscription strategy for the whole (parts of) functionalities when the firms’ target market is the common (specialized) market. Moreover, the current work also provides the cases in reality for each providing schema shown in the matrix. The current work provides support for the digital products firms when they decide the providing schema facing the complex market.