bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing Scenarios to Reduce Brand Switching in Sports Equipment Industry Customers
Authors: Zarafshan Zahra , Pirzad Ali , Mousavi Seyed Najmuddin
Published: October 2024

Objective: The objective of this study is to design scenarios that can examine brand switching behavior in customers within the sports equipment industry and identify and analyze the influencing factors. Methodology: In this research, first, a literature review was conducted to identify the factors influencing brand switching behavior in customers. Then, a questionnaire was designed and distributed to examine the current status of these factors in the sports equipment industry in the country. Seventy experts from the sports equipment industry responded to this questionnaire. Subsequently, using the fuzzy cognitive map technique, the systemic relationship between the factors was identified, and forward and backward scenarios were developed to improve the structure. Findings: The results of the study indicate that among the 10 identified factors, the quality of products and services offered in sports equipment is the most important factor in implementing a systemic structure to prevent brand switching. The identified factors are: trust, competitive pricing, customer attitudes, customer satisfaction, reliability, quality, customer relationship management, word-of-mouth advertising, knowledge management systems, and government regulations. Conclusion: Focusing on the quality of products and services offered in the sports equipment industry can serve as an effective strategy to reduce brand switching among customers and provide a distinct competitive advantage for brands.
A Dynamic Model for Analyzing Investment Policies in Iran's Oil Production and Its Scenarios
Authors: Heydarinia Manoochehr , Makvandi Foad , Ghasemiyeh Rahim , Chenari Vahid , Amirnejad Ghanbar
Published: October 2024

various related scenarios. The study aims to identify and assess different financial and investment policies that could enhance investment attraction in Iran's oil industry. Methodology: The study employs system dynamics and content analysis to develop the model. The statistical population for the content analysis includes upstream oil industry documents and related articles on investment. In the quantitative section, employees, managers, and experts in the oil industry were selected as the sample population. Data analysis was conducted using Vensim software, and nine different scenarios were developed to evaluate financial and investment policies. Findings: The results revealed that intermediary financing, with an increase of 128.854 units, was identified as the most attractive policy. Debt-based financing, with an increase of 108.333 units, and financing based on underground reserves, with an increase of 69.580 units, followed. These findings highlight the importance of diversifying financial resources and utilizing innovative financial structures in Iran's oil industry. Conclusion: The study concludes that a combination of different financial resources and the application of diversified financial policies can significantly contribute to attracting more investments and reducing financial risks in Iran's oil industry. These findings align with previous studies on financial and investment policies and provide valuable insights for policymakers in Iran's oil sector.
Developing a Model of Quality of Work Life Based on Organizational Justice, Organizational Optimism, and Organizational Resilience among Employees of the Education Departments in Tehran Province
Authors: Jandaghi Farzaneh , Nazem Fattah , Afkaneh Soghra
Published: October 2024

Objective: This study aimed to develop a comprehensive model of quality of work life based on organizational justice, organizational optimism, and organizational resilience among employees of the Education Departments in Tehran. Methodology: The research employed a mixed-method (qualitative-quantitative) approach. In the qualitative phase, semi-structured interviews were conducted with 15 experts in management and sociology, and the initial data were collected and analyzed. Following this, a questionnaire was designed based on the qualitative findings and distributed among 450 employees of the Education Departments in Tehran. Data analysis was conducted using Structural Equation Modeling (SEM) and the AMOS and SPSS software. Findings: The findings revealed that all three variables—organizational justice, organizational optimism, and organizational resilience—are significantly related to the quality of work life. Organizational justice was identified as the strongest predictor of quality of work life, while organizational optimism and organizational resilience also had direct and indirect impacts on improving quality of work life. Additionally, organizational justice played a mediating role in the relationship between organizational optimism and resilience with the quality of work life. Conclusion: The results of this study indicate that attention to organizational justice, organizational optimism, and organizational resilience can lead to an improvement in the quality of work life for employees in educational organizations. It is recommended that managers strengthen these variables to create a supportive and positive work environment, thereby enhancing employee satisfaction and commitment.
Designing a Systemic Relationship Model for Value Enhancement from the Perspective of Sustainable Development in Construction Project Management
Authors: Soltani Shahin , Taghizadeh Hoshang , Taari ghaffar
Published: October 2024

Objective: The objective of this study was to design a systemic relationship model for value enhancement from the perspective of sustainable development in construction project management. Methodology: This research employs a mixed-method approach (qualitative and quantitative) conducted in three phases. In the first phase, a systematic review of scientific documents was performed using a meta-synthesis qualitative approach, leading to the identification of 9 major themes and 50 sub-themes. The thematic model was then localized into 48 sub-themes within 9 main themes using the fuzzy Delphi method. In the second phase, the localized model was converted into a questionnaire and distributed among experts. The collected data were analyzed using confirmatory factor analysis (CFA). In the third phase, the internal relationships between the themes were examined, and the final systemic relationship model was developed. Findings: The findings revealed that key themes such as value governance quality, continuous evaluation and feedback, communication quality, knowledge management, and coordination within the supply chain play a crucial role in enhancing sustainable value in construction projects. These factors contribute significantly to improving project performance in achieving sustainability goals. Conclusion: This study demonstrates that value enhancement from the perspective of sustainable development in construction project management requires attention to a set of critical factors that can improve project performance in sustainability. The proposed systemic relationship model can serve as an effective managerial tool for promoting sustainable value in construction projects.
Analysis of the E-Learning Model for Marketing to Attract Health Tourism
Authors: Heidari Hanieh , Doshman Ziari Esfandiar , Barzegar Nader , Fagih Aram Batoul , Mahdizadeh Amirhossein
Published: October 2024

Objective: The primary objective of this study was to analyze the effectiveness of an e-learning model as a tool for digital marketing aimed at attracting health tourists. Methodology: This study utilized a mixed-method exploratory approach, incorporating both qualitative and quantitative research methods. In the qualitative phase, in-depth interviews were conducted with 14 experts in management and digital marketing, selected through purposive and snowball sampling. The quantitative phase involved a survey of 400 employees from educational and medical centers in Tehran, with 233 valid responses analyzed using descriptive and inferential statistics. The final e-learning model was validated through confirmatory factor analysis. Findings: The study identified eight critical dimensions and 47 components essential for an effective e-learning model in health tourism marketing. These dimensions include website optimization, content quality, social media engagement, video marketing, cultural and linguistic adaptation, customer relationship management, data analytics, and sustainable practices. The model was validated and shown to align well with the needs of the health tourism market. Conclusion: The findings emphasize the crucial role of digital marketing in attracting health tourists. An effective e-learning model that incorporates the identified dimensions can significantly enhance the visibility and appeal of health tourism services. The study underscores the importance of adapting digital marketing strategies to technological advancements and consumer behavior changes. Future research should explore the integration of emerging technologies such as artificial intelligence and virtual reality in digital marketing for health tourism.
Presenting a Social Media Marketing Model in the Fashion and Apparel Industry Using Grounded Theory
Authors: Abar Vali , Fani Majid , Fattahi Majid
Published: October 2024

Objective: The purpose of this research is to present a social media marketing model in the fashion and apparel industry using grounded theory. Methodology: The nature of the present research is exploratory, employing qualitative data. The statistical population of the research includes experts and Ph.D. professors in marketing management at universities in Mazandaran Province. The researcher utilized the snowball sampling method to achieve theoretical saturation, which was attained after conducting interviews with 14 experts and scholars. Qualitative data were collected using structured interviews and analyzed through the qualitative grounded theory method. Findings: Four axial codes were identified and reported for causal factors, including online electronic business developments, online electronic business experience, characteristics of online customers, and social media marketing capabilities. For contextual factors, four axial codes were identified and reported, including online digital culture, online digital thinking, online electronic transformation infrastructure, and online digital leadership. Additionally, four axial codes were identified and reported for intervening factors, including cultural factors, social media challenges, and social and legal factors. For the central phenomenon, three axial codes were identified and reported, including social media marketing tools, social media marketing advertising, and social media marketing performance. For strategies, five axial codes were identified and reported, including the use of influencer marketing, investment in social media marketing, digital knowledge orientation, digital culture creation, and logistics (support) strategies. Finally, customer attitudinal and behavioral outcomes, as well as organizational outcomes, were identified. Conclusion: This research was initiated to develop a social media marketing model in the fashion and apparel industry using grounded theory. Through the qualitative method, the research progressed and reached a comprehensive model. At the end of the study, recommendations based on the researcher’s experiences are presented.
Designing an Agile Marketing Model for Small and Medium-sized Enterprises in Iran (Case Study: SMEs in the Northwest Regions of Iran)
Authors: Abedini Mahdi , Aly Samad , Honarmand Azimi Morteza , Maleki Mojtaba
Published: October 2024

Objective: The aim of this research was to design and propose an agile marketing model for small and medium-sized enterprises (SMEs) in Iran using a grounded theory approach. The study investigated the factors influencing the implementation of agile marketing, its enablers, barriers, and outcomes in SMEs located in the northwest regions of Iran. Methodology: This study employed a mixed-method approach (qualitative and quantitative). In the qualitative phase, theoretical sampling was conducted until theoretical saturation was reached through 21 semi-structured interviews, and the data were analyzed using the grounded theory method. In the quantitative phase, field data were collected via questionnaires from 406 SMEs in the provinces of East Azerbaijan, West Azerbaijan, Ardabil, and Zanjan, and the data were analyzed using statistical methods. Findings: The findings revealed that agile marketing improves the skills of specialized employees, enhances customer-centricity, and increases the competitiveness of SMEs. Furthermore, the role of digital technologies and data analytics as facilitators in the successful implementation of this approach was confirmed. Barriers such as organizational resistance and the complexity of the business environment were also identified as factors hindering agile marketing implementation. Conclusion: The study demonstrated that agile marketing can significantly enhance the performance and competitiveness of SMEs in turbulent markets. However, successful implementation requires appropriate infrastructure, digital technologies, and cultural changes within the organization. Agile marketing is proposed as an effective strategy for improving marketing and market management capabilities in SMEs.
Identifying the Components of Financing through Factoring with a Risk Management Approach
Authors: Azadi Kobra , Saidkhani Reza , Mohammadipour Rahmatollah , Khalili Karam , Arayesh Mohammadbagher
Published: October 2024

Objective: The aim of this study is to identify the components of financing through factoring with a risk management approach. Methodology: The study is applied in nature, cross-sectional in data collection, and descriptive-survey in its execution. The statistical population consisted of experts in financial management and accounting with relevant specializations and at least five years of executive experience in banks. The sampling method was purposive and chain sampling, with a sample size of 15 individuals. The data were analyzed using the qualitative method of thematic analysis. The validity of the research tool was ensured through thematic analysis, and reliability was confirmed using the test-retest method and dual coders. Findings: The results indicated the identification of 14 basic themes, 5 organizing themes, and 1 overarching theme for the model. The organizing themes include financial risk management, selection of factoring as a financing method, economic and financial factors, relationships with factoring companies, and interaction with business partners. Each of these themes emphasizes various processes essential to managing financial risks and decision-making in the use of factoring within organizations. Conclusion: The findings suggest that factoring, as a financing method, can contribute to improving liquidity and profitability when financial risks are managed effectively. Moreover, establishing effective relationships with factoring companies and setting terms of interaction with business partners are key factors for the successful implementation of this financing method.
Presenting a Human Capital Governance Model with an Efficient Management Approach
Authors: Sabouri Hesam , Zarei Matin Hasan , Dadash Karimi Yahya
Published: October 2024

Objective: The objective of this study is to design and validate a human capital governance model with an efficient management approach in Iran’s public organizations, particularly in the Ministry of Industry, Mine, and Trade (IMIDRO). Methodology: This study employed a mixed-method approach. Initially, semi-structured interviews were conducted with 10 purposefully selected human resource managers using grounded theory until theoretical saturation was achieved. The proposed model was then validated through the distribution of questionnaires among 380 managers and employees in public organizations. The collected data were analyzed using structural equation modeling (SEM). Findings: The results indicate that efficient human capital governance can significantly improve the performance of public organizations. Interview findings and coding analysis revealed that increasing team interactions, improving individual competencies, and optimizing human capital utilization are key success factors in human capital governance. Additionally, the proposed model was confirmed through structural equation modeling. Conclusion: The human capital governance model with an efficient management approach can lead to improved organizational performance and the achievement of developmental goals. By creating strong management mechanisms, the model activates human capital capabilities, enhancing productivity and efficiency in public organizations. The findings of this study can serve as a basis for improving human capital governance in other public and private organizations as well.
Design and Explanation of an Electronic Customer Relationship Management (E-CRM) Model to Enhance Customer Loyalty in Private Banks of Iran
Authors: Asadi Mehdi , Meymand Mohammad Mahmodi , Zakipor Mehdi
Published: October 2024

Objective: The objective of this study is to design and explain a model of electronic customer relationship management (E-CRM) aimed at increasing customer loyalty in private banks in Iran. Methodology: This applied research employed a descriptive-survey method, incorporating both qualitative and quantitative approaches. A Delphi panel consisting of 35 experts from private banks contributed to identifying key E-CRM variables. In the quantitative phase, a sample of 384 bank managers and senior experts participated through a questionnaire. Structural equation modeling and PLS software were used for data analysis, ensuring a robust model fit and validation through reliability tests like Cronbach's alpha. Findings: The study identified critical influencing factors for E-CRM, categorized into human, technological, and organizational components. The model showed significant positive impacts on customer satisfaction and loyalty, with technological factors like IT management being the strongest predictors. Customer interaction, value creation, and organizational readiness for change also demonstrated notable influences. The findings support the integration of technological advancements and customer-centric approaches in private banking. Conclusion: The developed E-CRM model effectively enhances customer satisfaction and loyalty in the private banking sector. By focusing on human, technological, and organizational factors, private banks can improve long-term relationships with their customers, fostering increased loyalty. These insights highlight the need for continued investment in customer relationship technologies and staff training for optimal E-CRM performance.
Examining the Role of Dimensions and Components of the Employee Compensation System in Explaining the Variance of Organizational Citizenship Behavior (Case Study: General Tax Office of Kerman Province)
Authors: Jamshidi Majid , Kamali Mohamaad Jalal , Sayadi Saeed , Fatehi Rad Navid , Mohamad Bagheri Mehdi
Published: October 2024

Objective: The aim of this study was to examine the role of the dimensions and components of the employee compensation system in explaining the variance of organizational citizenship behavior (OCB) (Case Study: General Tax Office of Kerman Province). Methodology: This research was applied in purpose and descriptive-correlational in terms of method. Data were collected through standardized questionnaires. The compensation system questionnaire included four dimensions: managerial, organizational, psychological, and social. The OCB questionnaire included 15 dimensions, both using a 5-point Likert scale. The statistical population consisted of all employees of the General Tax Office of Kerman Province, and random sampling was used to select the participants. Findings: The results showed a significant and positive relationship between the dimensions of the compensation system (managerial, organizational, psychological, and social) and OCB. These dimensions simultaneously explained 39.5% of the variance in OCB. Moreover, psychological and managerial components had the greatest impact on OCB. Conclusion: This study demonstrated that the employee compensation system, particularly its psychological and managerial dimensions, has a direct influence on enhancing organizational citizenship behavior. Organizations that focus on improving their compensation systems can expect an increase in extra-role behaviors and greater employee participation. It is recommended that organizations pay special attention to designing and implementing fair and supportive compensation systems.
Design and Testing of an Online Customer Experience Model in Social Networks with a Mixed Approach
Authors: Jafari Alireza , Zakipour Mahdi , Rajabi Marjan
Published: October 2024

Objective: The aim of this study is to propose a model to determine and explain the antecedents and consequences of online customer experience in social media. Methodology: This research was conducted using a mixed-methods approach. In the qualitative section, data were collected through semi-structured interviews with 20 experts in the field of digital marketing and analyzed using content analysis and MAXQDA software. In the quantitative section, a questionnaire based on the qualitative model was distributed among 384 social media users who were customers of online stores. The quantitative data were analyzed using SPSS 24 and Smart PLS 3 software. Findings: The results showed that environmental factors, customer retention, product purchase, customer-centricity, and product significantly impacted the online customer experience, while ease-of-use did not have a significant effect. Additionally, the model developed in the qualitative section successfully explained the relationships between the variables and was deemed suitable for practical application in digital businesses. Conclusion: This study demonstrated that various factors such as environment, customer-centricity, and purchase processes play a crucial role in enhancing the online customer experience. Organizations can improve customer experience by focusing on these factors and refining their digital strategies, which in turn can increase customer satisfaction and loyalty. The findings also highlight the importance of personalized services and engagement with customers in digital platforms.
Presenting a Paradigmatic Model for Brand Placement in the Cinema Industry Using a Grounded Theory Approach
Authors: Mohammadipour Hamid , Jalali Seyed Mehdi , Taheri Kia Fariz
Published: October 2024

Objective: The primary aim of this research is to present a paradigmatic model for brand placement in the Iranian cinema industry using a grounded theory approach. Methodology: This study is applied in purpose and descriptive-exploratory in nature, employing a mixed-methods approach. In the qualitative section, 28 experts from the fields of marketing and the cinema industry were selected using non-probability snowball sampling, and semi-structured, in-depth interviews were conducted with them. In the quantitative section, 384 master's and doctoral students in business management and participants in open managerial courses were selected through convenience sampling, and data were collected via questionnaires. For data analysis, grounded theory was used in the qualitative section, and structural equation modeling was employed in the quantitative section. Findings: The qualitative findings revealed that 85 concepts, 31 subcategories, and 12 main categories were identified within the paradigmatic model. These categories include causal conditions (factors related to the film, audience, and brand), the central phenomenon (brand placement), strategies (branding strategy and audience strategy), intervening conditions (facilitators and inhibitors), contextual conditions (related to the film and audience), and consequences (for film producers and brand owners). The results of the confirmatory factor analysis also confirmed the validity of the research model with a good fit. Conclusion: The results indicate that brand placement in the Iranian cinema industry can create mutual value for both brand owners and cinema industry practitioners. Enhancing the effectiveness of brand placement requires attention to factors related to the film, audience, and brand, as well as the formulation of appropriate branding and audience-focused strategies. Marketing managers and film producers should pay special attention to the alignment between the brand and film content, the use of appropriate execution techniques, and engaging active audience interaction.
Presenting a Structural Model of the Drivers Influencing Investor Behavior Considering Their Perception of Stock Returns
Authors: Kheradmandzadeh Esmaeil , Jahanshad Azita , Poorzamani Zahra
Published: October 2024

Objective: The aim of this study is to present a structural model of the drivers influencing investor behavior, considering their perception of stock returns. Methodology: This research is applied in nature and adopts a descriptive-analytical approach. The methodology is mixed and carried out in both quantitative and qualitative phases. The statistical population for the qualitative phase consists of academic experts and managers of listed companies. Using snowball sampling and theoretical saturation, 11 participants were selected. The data collection tool for the qualitative phase was semi-structured interviews based on theoretical foundations. Data analysis was conducted using thematic analysis. For the quantitative phase, a researcher-made questionnaire, derived from the qualitative model and validated for reliability and validity, was distributed among a stratified sample of 213 respondents. The paths and causal relationships between the external and internal constructs in the structural model were confirmed using confirmatory factor analysis. Findings: The findings indicated that the drivers influencing investor behavior based on their perception of stock returns include "demographic factors, fundamental principles of the stock market, individual and psychological characteristics, risk tolerance capacity, and personal values and beliefs." In the quantitative section, the path coefficients were greater than 0.3, and the corresponding t-values exceeded 1.96, confirming all the paths. Conclusion: In investors' decision-making based on their perception of stock returns, behavioral factors and contextual variables such as demographic factors (e.g., age, gender, education, and individual perspectives) play a significant role. Additionally, proper and data-driven fundamental analysis in the stock market leads to more optimal investment decisions. Ultimately, risk acceptance and increasing the risk threshold significantly help individuals make profitable decisions based on technical analyses.
The Role of Sports Stars in Shaping Fans' Behavioral Characteristics
Authors: Hadi Chegini Afshin , Biniyaz Seyed Abbas , Naderi Nasab Mehdi
Published: October 2024

Objective: The objective of this study is to investigate the impact of sports stars on the behavioral characteristics of fans. Methodology: This research utilized a mixed-method approach (qualitative-quantitative) conducted in two phases. In the qualitative phase, data were collected through in-depth interviews with experts and active sports fans on social media platforms. In the quantitative phase, a researcher-designed questionnaire was distributed among 186 fans and sports managers using purposive sampling. Data analysis was performed using SPSS and Smart PLS software. Findings: The findings revealed that sports stars have a significant impact on all aspects of fan behavior. The influence of sports stars on citizenship behavior (path coefficient 0.992), emotional behavior (path coefficient 0.909), consumptive behavior (path coefficient 0.446), and normative behavior (path coefficient 0.503) was positive and significant, while their effect on deviant behavior was negative and significant (path coefficient -0.592). Conclusion: The results of this study suggest that sports stars significantly influence fans' behaviors, acting as social role models to enhance positive and responsible behaviors while reducing deviant actions. These findings recommend that sports organizations and managers leverage the influence of sports stars to improve fan engagement and foster loyalty.
Evaluation of the Dimensions and Components of the Managerial Competency Model in the Banking System
Authors: Bahrami Davood , Teimoornejad Kaveh , Dahgan Mahmood
Published: October 2024

Objective: This study aimed to evaluate the dimensions and components of the managerial competency model in the banking system. Methodology: This research is descriptive and survey-based. The statistical population consists of managers from various departments of the Central Bank of the Islamic Republic of Iran. Data were collected through a field method using a questionnaire and convenience sampling. Data analysis was conducted using structural equation modeling (SEM) and SmartPLS3 software. Findings: The study revealed that the banking managerial competency model must be designed as a multidimensional framework covering all managerial aspects, including technical, managerial, interpersonal, and technological competencies. Given the emerging challenges in the banking industry, such as digital transformations and complex regulations, managers need a broad range of competencies. Conclusion: The results indicate that developing a comprehensive and multidimensional competency model for banking managers can enhance performance, increase productivity, and strengthen the competitiveness of banks.
Intuitionistic soft (positive) implicative L-prefilters of EQ-algebras
Authors: Bakhshi M. , Nazifi M.
Published: October 2024

In this paper, by considering soft set theory, lattice theory and filter theory of EQ-algebras, we introduce the concepts of intuitionistic soft positive implicative L-prefilter and intuitionistic soft implicative L-prefilter. Next, we give some examples and equivalent conditions to characterize them. Furthermore, the relationships between these two notions are investigated.
Structure and Behavior of Graph Automata Based on the Monopoly-Forcing Set
Authors: Shamsizadeh M. , abolpour K.
Published: October 2024

In this note, we show that automata theory is a suitable tool for analyzing monopoly-forcing processes. Also, we present the notion of mono-forcing automata by using the monopoly-forcing set for graphs. Moreover, we prove that mono-forcing automata accept more languages than zero-forcing finite automata also, we show that all results in zero-forcing finite automata for complete graphs are established for mono-forcing automata. We examine and deliberate on the language associated with mono-forcing automata for certain specified graphs. Also, we present the style of words that can be recognized with mono-forcing automata. Additionally, we delineate the types of words identifiable by mono-forcing automata. We also describe the configuration of graphs from which mono-forcing automata emerge, generating specific languages. Several examples are provided to elucidate these concepts.
Mistreatment of Women and Children: Analysis by Mathematics of Uncertainty
Authors: Mordeson J. N. , Mathew S. A. , Suchithra P. A.
Published: October 2024

We examine the mistreatment of women and children using fuzzy implication operators. We show how fuzzy implication operators can be used to define fuzzy similarity measures. These fuzzy similarity measures are used to compare the similarity of various rankings of countries with respect to the security status, gender equality and human development of women and children. We find a medium to high similarity between these categories.
Quasi-subalgebras of Sheffer stroke BL-algebras associated with fuzzy points and a new type of fuzzy set
Authors: Jun Y.B. , Yang E. , Hwan Roh E.
Published: October 2024

The Jun’s YεJ -fuzzy set is applied to the Sheffer stroke BL-algebra, and the notions of an (∈, ∈)- YεJ -fuzzy quasisubalgebra and an (∈, ∈ ∨q)-YεJ -fuzzy quasi-subalgebra in Sheffer stroke BL-algebras are introduced, and several properties are explored. Characterizations of (∈, ∈)- YεJ - fuzzy quasi-subalgebras and (∈, ∈ ∨q)- YεJ -fuzzy quasisubalgebras are investigated, and the relationships between the fuzzy quasi-subalgebra, the (∈, ∈)- YεJ -fuzzy quasi- subalgebra and the (∈, ∈ ∨q)- YεJ -fuzzy quasisubalgebra are considered. Conditions for a fuzzy set to be an (∈, ∈∨q)- YεJ -fuzzy quasi-subalgebra are displayed.
On weak-hyperfields
Authors: Vougiouklis T.
Published: October 2024

The first use of the largest class of hyper-structures, the Hv-structures, and their fundamental relations was to define the general hyper-field. Moreover, the enormous number Hv-structures defined on the same set, admits a partial order and has a lot of applications in pure mathematics and other sciences. We present ways to obtain appropriate Hv-fields from given well-known classical rings.
A Mixed Methods Study on Beliefs and Practices Pertaining to Critical Thinking Among EFL Teachers in Philippine Public Schools: Implications for Policymaking
Authors:   Centro Escolar University, Lopez Marcos Y.
Published: October 2024

This study aims to set directions for policy formulation on the integration of critical thinking (CT) in English for seventh grade students in Philippine public schools. Mixed methods were employed to analyze and compare quantitative and qualitative data regarding beliefs and practices of teachers with reference to integrating CT into teaching English. A semi-structured interview and a four-point Likert scale were simultaneously used, thereby producing a nested sampling. Descriptive statistics and thematic analysis for qualitative data were merged for analysis and comparison of both data strands. Qualitative results showed that Filipino English as a foreign language (EFL) teachers strongly regard CT as a crucial element in teaching English, specifically literature, to seventh grade students. However, one-on-one interviews indicated that these teachers have a narrow and insufficient understanding of the concept of CT and its relation to teaching and testing. Contrary to this, quantitative results revealed that, generally, these teachers strongly believe that they have a clear understanding of the term CT and its application in teaching and test construction. They expressed agreement on the need to have a clear set of guidelines for policymaking on how CT be understood and integrated into teaching and testing. Based on the analysis of integrated results, the need for a clear definition of CT be provided by education policymakers so that teachers have clarity of its meaning and how its components, namely, ability and disposition, be explicitly integrated both into teaching and testing of English for seventh grade students in Philippine public schools.
Evaluation of an English as a Foreign Language (EFL) Teacher Preparation Program
Authors:   Universidad Autónoma de Nuevo León, Garza Rodriguez Nallely , Rodríguez Bulnes Guadalupe
Published: October 2024

The responsibility of a teacher preparation program (TPP) goes beyond teaching future educators the knowledge and skills of the profession. It needs to provide experiences that help them succeed in the real classroom settings. (Garza-Rodriguez, 2019). However, there is evidence that disconnection between what is taught in TPPs and what is needed in the practical work exists. Therefore, there is an urgent need to improve the quality of these programs by constantly evaluating their quality and effectiveness. This paper reports a pilot study on pre-service teachers’ perspectives about their English as a foreign language teacher (EFL) teacher preparation program in Mexico. The aim of the study was to reveal how pre-service teachers evaluated the strengths and weaknesses of their EFL teacher preparation program. Following a mixed-method, data were collected from 17 participants using an online Likert scale, adapted from Peacock (2009), and three open questions to elicit strengths and weaknesses. Findings were divided in both quantitative and qualitative. Quantitative data indicated that students were undecided or to some extent in agreement with most of the items associated with the features of the program; however, the lowest mean was shown in the areas of meeting students’ needs, the balance between theory and practice and learning some practical teaching skills. On the other hand, the qualitative results showed that students’ preparation as linguists and self-reflective learners as well as some subjects from the program were perceived as strengths, while the lack of teaching experience, the content, and low English language proficiency as the main weaknesses. In conclusion, though students’ perspectives were still uncertain, they provided useful information to improve the curriculum.
Menumbuhkan Minat Belajar Mengurangi Prokrastinasi: Tantangan Siswa Kelas X di SMA X
Authors: Dewa Ayu Intan Sukmayanthi  , Nyoman Trisna Aryanata  , Aritya Widianti
Published: October 2024

The success of learning is influenced by students' interest in learning. When someone has an interest in learning, they will show a high level of interest and gladly pay attention to learning activities. However, a common phenomenon among students today is that teenagers spend more time on entertainment than completing academic tasks. This study aims to determine the relationship between learning interest and academic procrastination among 10th-grade students at SMA X. This study uses a quantitative research method with simple linear regression analysis. The subjects of this study were 241 10th-grade students at SMA X. The instruments used were a learning interest questionnaire from Prihatin (2017) with a reliability of 0.713 and a validity score of 0.654-0.706, and an academic procrastination questionnaire from Zakiah (2021) with a reliability of 0.923 and a validity score of 0.218-0.672. The results of this study show a significance of 0.000 (ɑ < 0.05) with a regression coefficient value of -0.912 and an R Square of 5.4%. This indicates a significant negative relationship between the variables, meaning that the higher the learning interest, the lower the academic procrastination, and vice versa. However, the researcher found that even with a high interest in learning, students may still experience moderate academic procrastination, which is influenced by their inability to prioritize tasks. There is a relationship between the factors of learning interest and academic procrastination among 10th-grade students at SMA X, amounting to 5.4%, with the remaining percentage influenced by other factors. Future researchers are encouraged to further develop this study by investigating other factors that were not examined in this research.
Impacts of Sea Lamprey Sex Ratio Variation Analysis based on L-V Model and P-P Model
Authors: Gan Xinyu , Zhang Min , Meng Fuyao
Published: October 2024

As an important animal model for the study of biological evolution and disease, lamprey has attracted the attention of many scholars. Its variable sex ratio is also becoming the focus of studying because of the impact of ecological system. This paper utilizes mathematical method, and establishes the Lotka-Volterra Model to simulate the variations of the sex ratio among lamprey larvae populations. Additionally, Holling II function and Weak Alley Effect are adopted to establish a Predator-Prey Model of adult lampreys in three-tiered food chain, predicting the population dynamics of adult lamprey. The result of model simulation finds that low environmental capacity leads to a unexpectedly high ratio of male lampreys, which is up to 74.51% and proably causes population extinction. The study offers a novel insight into the interaction between ecosystems and fish species with variable sex ratios such as the lampreys.
Based on the LGBM model, a dynamic analysis was conducted to study the momentum of athletes in tennis matches
Authors: Tian Haoming , Zhang Ye , Ding Runduo
Published: October 2024

The changes in momentum in a tennis tournament have a significant impact on players' performance and the outcome of the match. The application of big data and machine learning techniques can effectively enhance the accuracy of predicting these dynamic changes. This article aims to delve into the impact of momentum on matches and how it can be leveraged to help players achieve success. Firstly, this paper determines the confidence level of each indicator through multiple logistic regression and uses the LGBM algorithm to train the data to predict the real-time momentum of an athlete, confirming that momentum is real and will have a great impact on the competition result. The paper trains the obtained data using the SVR model. By comprehensively applying the information gain method, this paper derive importance scores for each indicator.  This measure was found to have the biggest impact on momentum in the progress in scoring.
A Website Designed to Relieve People’s Depression
Authors: Zhou Chuhao
Published: October 2024

With time going by, depression is getting more and more concern from society. With depression, they don’t have stable emotions, which leads to a problem that they tend to feel hopeless and sometimes even drop into despair when they’re viewing webs. Apart from that, there’re also lots of people with depression teies. And lots of people are still suffering from the pain of the disease and the effects of depression.Therefore, This study is aimed to design a website for those people with depression and those potential people, aimed to decrease the risk of their getting into disease. My target is to build a healthy and positive online environment, which is beneficial for their mental health. And to research and conclude a series of principle and regulations of the relevant website designing. During the research, the method of issuing questionnaires is adopted, and a lot of websites like CNKI and Web of Science were referred to learn articles published between 2000 and 2024 related to the depressive symptoms and webpage design. A proper website for the specific group has been created, and meanwhile, lots of practical advice are summarized on how to design similar websites. Eventually, hope the work can make an influence to the future research and design in relevant areas.
Research on Momentum in Tennis Based on Random Forest
Authors: Tang Linjie , Chen Kangyu
Published: October 2024

In tennis, there is an increasing emphasis on the significance of “momentum,” particularly in comprehending and effectively using this phenomenon in a scientific manner. However, The existence of momentum in competitions is sometimes challenging to scientifically prove. This work strives to develop techniques based on random forest to quantify momentum and predict players’ winning rates. Upon analysis, the paper extracts three features that have a significant impact on the player’s winning rate in a match. Extensive experiments conducted on two real-world datasets from the Wimbledon Championships show the strong performance of our predictive model. Next, other tennis matches like the US Open are selected to make predictions that demonstrate the good ability of generalization. A run test is also conducted to support the model further. Therefore, there is sufficient confidence to assert that the defined momentum is effective. Finally, this work provides a comprehensive overview of the role of “momentum” and offers insightful suggestions for players to enhance their performance on the court.
Antibacterial Activity of Spirulina Pigment Fraction Spirulina platensis
Authors: Diyah Ikasari Endang , Bagiana I Kadek , Kusmita Lia
Published: October 2024

Spirulina platensis is a microalgae that is rich in nutrients. These organisms have a high protein content, in addition to being rich in secondary metabolites. Pigment is the secondary metabolite that is most abundant in Spirulina platensis. The pigment of Spirulina platensis consists of chlorophyll, carotenoids, and phycocyanin. These three pigments have been proven to have bioactivity as antibacterials. The aim of this study was to test the antibacterial activity of the pigment fraction in Spirulina platensis. Spirulina platensis extraction using methanol, fractionation was carried out using diethyl ether solvent. Pigment identification is carried out using thin layer chromatography (TLC). Antibacterial activity was carried out using the well method using S. aureus and MDR E.coli bacteria. Pigment in Spirulina platensis can be extracted using methanol solvent with a yield of 13.25% and fractionated using diethyl ether solvent with a yield of 8.67%. The results of identification using TLC showed that the pigments interested in the fraction were chlorophyll and carotenoid. The antibacterial activity test showed that the pigment fraction could inhibit S. aureus and E. coli bacteria at concentrations of 0.2, 0.3, and 0.4%. The antibacterial activity against S. aureus bacteria for a concentration of 0.2, 0.3, and 0.4% has a clear zone of 1.008 ± 0.011 cm, 1.044 ± 0.013 cm, and 1.156 ± 0.013 cm. Meanwhile, the antibacterial activity against E. coli at a concentration of 0.2, 0.3, and 0.4% had 0.754 ± 0.014 cm, 0.821 ± 0.017 cm, and 0.899 ± 0.013 cm.
A Case of Anthracyclines Therapy-induced Cardiotoxicity
Authors: Thai Phan Hao
Published: October 2024

Established Anthracyclines including Doxorubicin cardiomyopathy is a lethal disease. When congestive heart failure develops, mortality is approximately 50%. Extensive research has been done to understand the mechanism and pathophysiology of doxorubicin cardiomyopathy, and considerable knowledge and experience has been gained. Unfortunately, no effective treatment for established doxorubicin cardiomyopathy is presently available. However an effective and clinically applicable preventive treatment is yet to be discovered. Here we reported a 56-year-old female diagnosed stage IVB CD20 positive large B-cell Non-Hodgkin lymphoma developed doxorubicin cardiomyopathy after chemotherapy with a regimen of 5 drugs known as R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) given for 5 cycles and intrathecal chemotherapy with 4 doses hydrocortison.
El impacto del aprendizaje automático en la educación personalizada: hacia un aprendizaje adaptativo y eficiente
Authors: Suin Guerrero Andrea Rocío , Guerrero Lucio Nelly Isabel , Merchán Suin Robert Raul , Quijije Moran Wendy Vanessa
Published: October 2024

El aprendizaje automático (machine learning) ha revolucionado diversos sectores, y la educación no es la excepción. En particular, está transformando la manera en que se implementa la educación personalizada, haciendo posible un aprendizaje adaptativo que responde a las necesidades específicas de cada estudiante. A través de algoritmos que analizan el comportamiento, rendimiento y preferencias de los estudiantes, las plataformas educativas impulsadas por IA pueden ajustar el contenido y el ritmo de enseñanza en tiempo real. Esto permite una experiencia educativa más eficiente y dirigida, ya que los estudiantes avanzan según su propio ritmo, centrando sus esfuerzos en áreas que requieren más atención. El impacto del aprendizaje automático se refleja en la capacidad de ofrecer recomendaciones personalizadas, seguimiento continuo del progreso, y generación de planes de estudio que se adaptan a las capacidades de cada alumno. Estas herramientas permiten detectar patrones que no son visibles a simple vista para los profesores, facilitando la intervención temprana y el soporte adecuado en momentos críticos del proceso de aprendizaje. Además, este tipo de tecnología puede mejorar la evaluación de los estudiantes, proporcionando una retroalimentación más detallada y precisa. En general, el aprendizaje automático está llevando la educación hacia un modelo más flexible y accesible, donde las plataformas digitales permiten a cada estudiante optimizar su experiencia de aprendizaje, fomentando un desarrollo académico más profundo y significativo.