bluuebunny/crossref_metadata_2025 huggingface dataset:
Predictive Investment Model in the Mexican Metallurgical Industry
Authors: Mora Rodarte Olga , Díaz-Parra Ocotlán
Published: December 2024

This paper is one vision of model about predictive at all many situations of investment and production capacity in the mineral – mechanic industry in Mexico. This situation is specific whit study many minerals is an about demanding investment and impacted many activities for example, factoring industry and sector visionaries about automobilist, aeroplanes, machine, hand dispositive and others. The history of Mexico minerals is growing in opportunity optimization problem according database for more eight years in economy for selective maximized. About the model predictive establish in diagnostic the many minerals in Mexico; this is of empirical investment simulation a possible consideration tendency in investment or production of mineral important of investment and costumer in Mexico. The modelling method uses potent to execute genetic algorithm to discovery investment potential across rent and contribution grow national situation about metallurgic industry and historical reason in this industry and empirical situation.
Review of control on agricultural robot tractors
Authors: Alberto-Rodriguez Adrián , Neri-Muñoz Martín , Ramos-Fernández Julio Cesar , Márquez-Vera Marco Antonio , Ramos-Velasco Luis Enrique , Díaz-Parra Ocotlan , Hernández-Huerta Eduardo
Published: December 2024

This article studies the most common methods of autonomous vehicle guidance, as well as a review of companies that have already developed their own self-guided tractors. The most common methods for autonomous guidance are through the position obtained from an RTK-GPS and by artificial vision. For both cases, sensors have to be implemented that help the task assigned, such as LIDAR sensors, proximity sensors, among others, that detect the tractor to know the working environment and define the correct route and even avoid collision, to comply with the assigned task, managing to improve production time and quality. The two guidance methods mentioned in this work fail to have error = 0, either by the type of sensor or by the technique used. Among the most commonly used techniques for obstacle avoidance are the possible field method or the probabilistic route planner.
Editorial for Volume 11 Number 3: Maritime Platform Transport Problem of Solid, Special, and Dangerous Waste
Authors: Díaz-Parra Ocotlán
Published: December 2024

The Maritime Platform Transport Problem of Solid, Special and Dangerous Waste consists of to minimize the monetary value of carrying different types of waste from one location to another location using ships. We present a mathematical model and the use CPLEX to find the optimal values to solve the Solid, Special and Hazardous Waste Transportation Problem of offshore platforms instances of Mexican state-owned petroleum company (PEMEX). The set of instances used are WTPLib real instances and the tool CPLEX solver to solve the Problem.
The Hybrid Forecasting Method SVR-ESAR for Covid-19
Authors: Frausto Solis Juan , Olvera Vazquez Jose Enrique , González Barbosa Juan Javier , Castilla Valdez Guadalupe , Sánchez Hernández Juan Paulo , Perez-Ortega Joaquín , Diaz Parra Ocotlan
Published: December 2024

We know that SARS-Cov2 produces the new COVID-19 disease, which is one of the most dangerous pandemics of modern times. This pandemic has critical health and economic consequences, and even the health services of the large, powerful nations may be saturated. Thus, forecasting the number of infected persons in any country is essential for controlling the situation. In the literature, different forecasting methods have been published, attempting to solve the problem. However, a simple and accurate forecasting method is required for its implementation in any part of the world. This paper presents a precise and straightforward forecasting method named SVR-ESAR  (Support Vector regression hybridized with the classical Exponential smoothing and ARIMA). We applied this method to the infected time series in four scenarios, which we have taken for the Github repository: the Whole World, China, the US, and Mexico. We compared our results with those of the literature showing the proposed method has the best accuracy.
Electronic system to monitoring vital signs in pregnancy through Random Forests
Authors: Quintanar-Gómez Juan , Robles-Camarillo Daniel , Trejo-Macotela Francisco Rafael , Díaz-Parra Ocotlán
Published: December 2024

Currently, the care of women in pregnancy plays an essential role in improving the clinical conditions of women and babies through early detection of hypertensive disorders during pregnancy. For this reason, the clinical guidelines define blood pressure monitoring as a component for the detection of those disorders. In response to this problem, this paper proposes the design of an electronic prototype focused on the acquisition of blood pulses and weight, transmitting the information obtained through Bluetooth to a computer that processes the information obtained through Random Forest, obtaining the patient's blood pressure. As a result, a MAE of 3.215 and 1.55 mmHg is obtained for the systolic and diastolic pressure, respectively. This work is directed to the use of e-Health and artificial intelligence techniques to improve the quality of life of women in the gestational stage or patients who need to monitor their blood pressure during their daily activities.
Evolution of Basic Communication Strategies in Artificial Agents
Authors: Santos Victor Hugo , Pardo Manuel , Ciria Alejandra , Lara Bruno
Published: December 2024

Communication and signaling processes are ubiquitous in biological organisms, having evolved throughout the evolutionary tree whenever transmission and receiving mechanisms are present. The work presented in this article addresses, from an evolutionary robotics approach, how a basic communication strategy can emerge in artificial agents through the co-evolution of signalers and perceivers. Although there are many works that model the evolution of the communication processes using autonomous robots, the work presented here attempts to tackle the problem using a different approach. Here, the emphasis is put on the perspective of the perceiver, by examining how the meaning of a signal emerges during the evolutionary process starting from a meaningless cue. This leads to effectively changing the behavior of the perceiver whenever the signal is present. All this is achieved without directly codifying any behavior related to perception in the fitness function of the evolutionary algorithm.
Future-Value Assessment of a Multi-Facility Allocation Problem with Inventory Return Costs
Authors: Aguirre Bello Jonathan David , Flores Carreto Oscar , Guzmán Velasco Ninfa Alejandra , Morales Guerrero Ricardo Ernesto , Caballero Morales Santago Omar
Published: December 2024

Decision models within the logistic field are crucial for the optimization of economic resources throughout the supply chain. In this context, facility allocation is important to achieve an efficient distribution network. The present work extends on the multi-facility allocation problem by integrating the time-dependent costs associated to the dynamic behavior of inventory management and transportation through a planning horizon. These costs are evaluated by considering their future-value in different periods of time and an integrated cost metric which includes distance, supply frequency, and fuel performance. The contribution of this approach leads to support the decision process regarding the viability of the investment required to establish a set of facilities in terms of future costs, how these costs may increase if the decision is delayed, and when the investment is to be compensated by the savings obtained by the solution of the multi-facility allocation problem.
Classification of corn plants and weed based on characteristics of color and texture using methods of segmentation Otsu and PCA
Authors: Gómez Ramos Marcos Yamir , Ruíz García J. Sergio , García Lamont Farid
Published: December 2024

The corn crop is very important in Mexico. Corn is fertilized manually or with machinery. When fertilization is manual, it consists of depositing fertilizer to each corn plant. Whereas machine fertilization, involve of dropping fertilizer along the furrow continuously. Manual fertilization is effective, but it is expensive and time-consuming. Machine fertilization can be inefficient, because fertilizer is deposited in the weeds or where there is no corn plant. When the fertilizer is not absorbed by the plant, it can damage the aquifers. This project presents algorithms to classify corn plants and weeds, hoping to contribute to automated fertilization or identified weeds to apply herbicide or eliminate. We took hundreds of pictures of corn plants and weeds in corn crops. The images were segmented using the Otsu method. As well as, the images were processed with the PCA algorithm. We apply classification algorithms such as Naive Bayes, Random Forest, SVM, KNN and Backpropagation. We also apply a convolutional neural network (CNN). We finally got 99.97% as the best result with the Backpropagation classifier.
Use of artificial intelligence to evaluate the detection of alterations in the retina as a screening test in Mexican patients
Authors: Lima-Sánchez Dania Nimbe , Argueta-Santillan Moises , Campos-Castolo E. Mahuina , Mendez-Lucero Miguel Angel , Urbina-González Josué Fabricio , Cerón-Solis Orlando , Alayola-Sansores Alejandro , Fajardo-Dolci German
Published: December 2024

In Mexico, chronic degenerative diseases are the main cause of morbidity, which have frequent complications in the retina, being the main cause of blindness in our population. Unfortunately, the detection of the pathology is usually late, which causes greater disability. To propose the detection of different pathologies, different artificial intelligence algorithms have been used for the images taken from the fundus. Objective. To evaluate different machine learning algorithms for screening of retinal alterations in the Mexican population. Methodology. We evaluate two types of models to estimate the screening capacity of artificial intelligence tools, one based on transfer learning, and ensemble methods against one based solely on convolutional networks. Results. We obtained adequate values to differentiate between healthy and sick, but not to diagnose different pathologies. Conclusion. It is necessary to expand the sample of images and improve the screening models
Vision assisted pick and place robotic machine
Authors: Arévalo-Hernández José Luis , Rubio-Espino Elsa , Ponce-Ponce Victor H. , Sossa Humberto
Published: December 2024

We present the design and implementation of a vision-assisted pick and place robotic machine for laboratory activities. The robotic device can automatically locate and pick small electronic components placed in containers in scattered order and put them in their final assembly position, indicated by pre-located visual marks on a printed circuit board. The execution of these tasks is supported by the design of two main systems. The first one consists of an image processing algorithm, fastly and precisely, capable of recognizing objects of interest arranged in containers. The second system involves the design and implementation of a Cartesian robot with four degrees of freedom. The robot's electromechanical assembly design involved implementing a PID controller and a power and sense electronics module. The resulting robotic machine solved the surface-mount capacitors manipulation problem, rendering an accuracy with a maximum deviation angle of ±15°, during the components placement tasks.
A Comparative Study of Dendrite Neural Networks for Pattern Classiﬁcation
Authors: Román Godínez Rodrigo Francisco , Zamora Erik , Sossa Humberto
Published: December 2024

Dendrite neurons are an alternative for classiﬁcation tasks, providing competitive results when compared to typical classiﬁcation methods. Dendrite networks allow each dendrite to build a close boundary to assign each incoming pattern to its respective class. Hyperboxes, hyperellipsoids and hyperspheres are novel ways for dendrite computing. In this research we test these models and some hybrid variances trained by stochastic gradient descent. Results show that hyperellipsoid work well as classiﬁers with low-dimensional tasks, while hyperspheres score better than the others in the case of image processing. However, when hybridizing, hyperboxes show poor results but hyperellipsoid and hyperspheres obtain even better results than two layer prerceptrons for many datasets.
“Muqarnas In Damascus: A Forgotten Religious Architecture’s History, Inception and Geometry”
Authors: Chakouf Nahed Jawad
Published: December 2024

The architecture of the Islamic world encompasses both religious and secular buildings that are unified by the use of a common architectural language, which includes architectural elements such as minarets, domes and arches, ornamental details, and vaulting with the use of muqarnas. The study provides a broad overview of the development of Islamic architecture, focusing on Damascus, the early Islamic period, the mid-Islamic period and the late Islamic period. The late Islamic period includes Ottoman art, with architecture influenced by Byzantine, Persian, Armenian, and Mamluk artefacts, but differs from their predecessors. The researcher undertook a geometric analysis of the muqarnas domes of al-Madrasa al-Nuriyya al-Kubra, the eastern entrance of the Citadel, the Madrasa-al-Zâhirîyah, and the Umayyad Mosque in 3D. The creation of muqarnas today in Damascus is discussed, the researcher having communicated with craftsmen in the Radwan and Yaser workshops of the city.
DVIN EARTHQUAKES AS A PROBABLE RESULT OF KARST VOIDS COLLAPSE
Authors: Sarafyan Karapet
Published: December 2024

The article presents the genealogy of earthquakes in the Dvin source, linking it with the collapse of karst voids, caused by the suffusive collapse phase. It is proposed to carry out prospecting work in the Ararat region in order to discover a unique karst multi-storey cave complex, which will be an important contribution to the effective management of water resources in Armenia and will become an incentive for the development of sustainable tourism. /4s a result of the study, some conclusions can be drawn regarding the origin of future earthquakes in the Ararat Valley, especially in the areas adjacent to Yerevan.
The Impact of Delaying Sentencing on the Rehabilitation of Offenders and Crime Prevention
Authors: Hashemian Ataollah , Lorkojuri Atefe , Mahmoodi Amir Reza , Ghodrati Siahmazgi Tayebeh
Published: December 2024

One of the primary objectives of criminal legislators and the judiciary is to prevent crime, rehabilitate offenders, and deter future offenses. The institution of delayed sentencing, as a tool for the rehabilitation of offenders and crime prevention, is one of the new provisions in the Islamic Penal Code passed in 2013. This paper aims to examine the impact of delaying sentencing on the rehabilitation of offenders and crime prevention. In this research, a descriptive-analytical method has been employed, where the various aspects and dimensions of the topic were analyzed through specific questions, and the information gathered from library and documentary studies was subsequently analyzed. The legislator's goal is to adopt a reformative approach in various areas of criminal law, particularly regarding the rules governing punishments, while protecting the interests of the offender and defending society against criminal behavior. The institution of delayed sentencing, recognized in light of the perspectives of criminologists and other legal scholars, is a novel provision borrowed from the French legal system, which had no legislative precedent in our country’s legal system until now. This institution, which is only applied to non-dangerous offenders (especially juveniles), is designed to avoid labeling these offenders as "criminals" and to assist in their rehabilitation and reintegration. The use of delayed sentencing in response to certain offenders, depending on the nature of the crime and the circumstances of its commission, can significantly prevent reoffending by those who are under the supervision of this institution.
Pathology of the Structure and Jurisdiction of Disciplinary Committees for Student Misconduct
Authors: Parkhid Hamed , Rasoulimoghadam Masoud
Published: December 2024

This study aims to investigate and analyze the structure and jurisdiction of disciplinary bodies responsible for addressing student violations in Iranian universities. This qualitative research utilized a literature review to collect data. The resources used include books, academic articles, disciplinary regulations, and relevant laws from the Iranian higher education system. Data analysis was conducted based on theoretical saturation, and the gathered information was examined using content analysis methods. The findings reveal that the current structure of disciplinary bodies dealing with student violations faces multiple issues, including a lack of transparency in jurisdiction, insufficient independent oversight, and unfair practices. Additionally, academic and financial violations by students are among the most critical areas that require revisions and updates in disciplinary regulations. The existing weaknesses in this system have resulted in diminished trust among students toward these bodies. The study highlights the necessity of reforming the structure and enhancing the jurisdiction of student disciplinary bodies. Establishing independent oversight mechanisms, clarifying jurisdiction, and revising disciplinary regulations can improve the performance of these bodies and promote fairness in handling student violations. Furthermore, continuous training for disciplinary committee members and a focus on addressing academic and financial violations should be prioritized.
Explaining Jurisprudential Parenting Methods in the Physical Upbringing of Children
Authors: Mohamadi Panah Shirin , Aghaei Bejstani Maryam , Kahsari Reza
Published: December 2024

This article explores the jurisprudential methods of physical upbringing of children with an emphasis on traditional and contemporary Islamic jurisprudence. Physical upbringing is considered one of the fundamental pillars of child education in Islam, where parents bear both religious and ethical responsibility to provide for the physical needs of their children. In traditional Islamic jurisprudence, the focus has been primarily on meeting basic needs such as nutrition, clothing, and hygiene. However, in contemporary jurisprudence, issues such as healthy nutrition, exercise, and the use of medical technologies to enhance children's physical well-being have gained more attention in response to social and cultural changes. The article begins by defining physical upbringing from the perspective of Islamic jurisprudence, followed by an in-depth examination of the role of parents in the physical care of children. Key topics such as guardianship (ḥaḍānah), financial support (nafaqah), and breastfeeding (riḍāʿ) within Islamic jurisprudence and their relation to physical upbringing are analyzed. Furthermore, the differences between traditional and contemporary jurisprudential views on child physical upbringing, particularly concerning exercise and physical health, are discussed and compared. The findings of this study demonstrate that Islamic jurisprudence comprehensively addresses the physical upbringing of children, mandating parents to provide for their children's physical needs and ensure their health. The article concludes by emphasizing the importance of adapting jurisprudential teachings to modern-day conditions and the use of new technologies to improve children's physical well-being.
Examining the Mediating Role of Social Capital in the Relationship Between Organizational Citizenship Behavior and Job Performance
Authors: Esmaeili Neda , Rezaei Rad Mojtaba
Published: December 2024

The main objective of this study is to investigate the impact of organizational citizenship behavior on job performance with the mediating role of social capital. Given the nature of this research, which seeks to examine the relationship between the research variables, the study is classified as a survey. The statistical population consists of all employees of private hospitals in Sari, Iran, totaling 185 individuals, as confirmed by the Mazandaran Province Health Network, who were employed in 2021. The sample size was determined to be 120 individuals based on the Krejcie and Morgan table, selected through stratified random sampling (46 men and 74 women). Data collection tools included standard questionnaires by Podsakoff et al. (1990) for organizational citizenship behavior, Nahapiet and Ghoshal (1998) for social capital, and Patterson (1992) for job performance. Data analysis was conducted using PLS2 software. The results revealed that organizational citizenship behavior influences job performance, organizational citizenship behavior affects social capital, and social capital impacts job performance. However, social capital does not play a mediating role in the relationship between organizational citizenship behavior and job performance among employees.
Presenting an Optimization Model for Organizational Culture in the Social Security Organization
Authors: Bahramian Yazdan , Moshir Istikhareh Zahra Sadat , Khademian Talieh
Published: December 2024

This study presents an optimization model for organizational culture in the Social Security Organization. In this qualitative research, necessary competencies for managers and employees are identified through in-depth interviews with managers of the Social Security Organization to examine critical factors in changing organizational culture and improving service delivery. The research field and the qualitative statistical population include experts, managers, scholars, and high-ranking employees in the Social Security Organization. The total number of managers in the central building of the Social Security Organization amounts to 23 individuals. The analysis and examination of the relationship between components and indicators of organizational culture change and improved service delivery were conducted using Grounded Theory (GT) and the qualitative software Maxqda. Results indicate that organizational culture, with an emphasis on developmentalism, structure, hierarchy, teamwork, and quantitative and qualitative growth, promises improvements in ethics, customs, and traditions of society and enhances the market for techniques and skills. Accordingly, the importance and application of a developmental culture in the Social Security Organization, where human resources play the most critical role, are essential.
The Mediating Role of Self-Esteem in the Relationship Between Psychological Capital, Academic Engagement, and Academic Procrastination with Psychological Well-Being Among Al-Diwaniyah Students in Iraq
Authors: Almurumudhe Layth Khalid Abdlhussein , Mehdad Ali , Johni Ahmed Abdulkadhim , Yousefi Zahra
Published: December 2024

Objective: This study aimed to investigate the mediating role of self-esteem in the relationship between psychological capital, academic engagement, and academic procrastination with the psychological well-being of high school students in Al-Diwaniyah, Iraq.

Methods and Materials: This applied, descriptive-correlational study employed a structural equation modeling design. The statistical population included all high school students in Al-Diwaniyah, Iraq, during the first semester of the 2023-2024 academic year. A total of 250 students were selected using a multi-stage cluster random sampling method, and finally, 194 students completed the questionnaires. The questionnaires used in this study included Ryff's Psychological Well-Being Scale (1989), Solomon and Rothblum's Academic Procrastination Scale (1984), Fredericks et al.'s Academic Engagement Scale (2004), Nguyen et al.'s Psychological Capital Questionnaire (2012), and Rosenberg's Self-Esteem Scale (1965). Data were analyzed using SPSS version 26 and AMOS version 24.

Findings: The results indicated a significant positive relationship between psychological capital and academic engagement with self-esteem and psychological well-being (p < .01) and a significant negative relationship between academic procrastination with self-esteem and psychological well-being (p < .01). Additionally, there was a significant positive relationship between self-esteem and psychological well-being (p < .01). Furthermore, self-esteem partially mediated the relationship between psychological capital, academic engagement, and academic procrastination with psychological well-being.

Conclusion: Based on the findings of the present study, it can be concluded that fostering self-esteem through the development of psychological capital, increasing academic engagement, and reducing procrastination can improve the psychological well-being of high school students in Al-Diwaniyah, Iraq.
The Role of Information Literacy on Cognitive Skills and Individual Factors (Self-Efficacy and Motivation) in the Curriculum of Secondary School Students
Authors: Najafi Masoumeh , Azodolmolky Soodabeh , Hosseini Mir Safi Ashraf Sadat
Published: December 2024

Objective: This study aims to investigate the role of information literacy on cognitive skills and individual factors (self-efficacy and motivation) in the curriculum of secondary school students.

Methods and Materials: This research utilized a descriptive-correlational design with a sample of 382 secondary school students (191 males and 191 females) selected through cluster random sampling. Data were collected using validated questionnaires assessing information literacy, cognitive skills, self-efficacy, and academic motivation. The normality of data was confirmed using the Kolmogorov-Smirnov test, and multiple regression analysis was applied to examine the relationships between variables.

Findings: The results indicated a positive and significant relationship between the information literacy in the curriculum of secondary school students and their cognitive skills and individual factors.

Conclusion: Therefore, identifying the factors affecting self-efficacy and motivation can have a substantial impact on academic success and the advancement of the educational system.
Examining the Mediating Role of Digital Self-Efficacy in the Relationship Between Academic Self-Concept and Academic Performance of Students
Authors: Rezai Mahboobeh , Vahhab Zahra , Izadi Fereshte , Jahanbani Fariba
Published: December 2024

Objective: The present study aimed to examine the relationship between academic self-concept and academic performance, mediated by digital self-efficacy, in male students in the first year of secondary school.

Methods and Materials: The present study is applied in terms of its objective and descriptive-correlational in terms of its method. The statistical population of this study included all male students in District 5 of Tehran who were enrolled in the first year of secondary school during the 2022-2023 academic year. Accordingly, the sample size was determined to be 200 based on Kline's perspective. The sample was selected using purposive and accessible sampling by visiting the first-year secondary schools in District 5 of Tehran. The tools used for data collection included the Academic Self-Efficacy Scale by Ulfert and Schmidt (2022), the Academic Self-Concept Scale by Yasin-Chin (2004), and the students' most recent GPA.

Findings: The direct effect of academic self-concept on digital self-efficacy (β = 0.29, t = 2.94) is significant. Additionally, the direct effect of academic self-concept on academic performance (β = 0.39, t = 3.44) is significant. Finally, the direct effect of digital self-efficacy on academic performance (β = 0.38, t = 3.37) is also significant. The indirect effect of academic self-concept on academic performance is 0.22, and the total effect is 0.64.

Conclusion: Therefore, it can be concluded that in the relationship between academic self-concept and academic performance, the variable of digital self-efficacy can serve as a mediator and strengthen this relationship.
Resilience Model Based on Self-Esteem, Emotional Regulation, and Attachment to God: The Mediating Role of Emotion-Focused Coping Strategy
Authors: Abdollahi Masoumeh , Soltani Amanallah , Manzari Tavakoli Alireza , Kamyabi Mitra
Published: December 2024

Objective: Resilience indicates a characteristic within an individual that enables them to flourish despite challenges and limitations, not only overcoming obstacles but thriving in the face of them. The aim of this study is to present a resilience model based on individual factors and the mediating role of emotion-focused coping strategy.

Methods and Materials: This research is descriptive-correlational, with the statistical population comprising all male and female students studying at the undergraduate, master's, and doctoral levels at Islamic Azad University, Yazd Branch, during the 2022-2023 academic year. Samples were selected using stratified random sampling and, based on the Morgan table and accounting for subject dropout, a sample size of 420 individuals was chosen. The instruments used to measure the research variables included the Connor-Davidson Resilience Scale (CD-RISC), Attachment to God Questionnaire, Lazarus and Folkman's Coping Strategies, Garnefski et al.'s (2001) Cognitive Emotion Regulation Questionnaire, and Rosenberg's Self-Esteem Scale. Data analysis was conducted using structural equation modeling with SPSS 22 and Smart PLS4 software. Of the distributed questionnaires, 400 were evaluable and scorable.

Findings: Data analysis results indicated that in all pathways, the significance level was less than the error level of 0.05, thus, at a 95% confidence level and an error level of 0.05, the total effect in the research model pathways is significant. The GOF criterion value was 0.513, indicating a moderate to high goodness of fit for the overall research model.

Conclusion: The findings highlight the critical roles of self-esteem, emotional regulation, and attachment to God in enhancing resilience through emotion-focused coping strategies among students.
The Mediating Role of Early Maladaptive Schemas in the Relationship between Individual and Contextual Risk-Protective Factors and Attitudes towards Substance Use in Adolescents
Authors: Bakhtiari Saeed Farima , Imani Saeed , Shokri Omid
Published: December 2024

Objective: This study aimed to examine the mediating role of early maladaptive schemas in the relationship between individual and contextual risk-protective factors and attitudes towards substance use in adolescents.

Methods and Materials: The statistical population of this research included all high school students in Gorgan city. A sample of 400 individuals was selected through multi-stage cluster sampling. The research instruments included the Young Schema Questionnaire-Short Form (Young, 1998), the Risk and Protective Factors Scale (Mohammad Khani, 2007), and the Substance Use Attitude Questionnaire (Delavar et al., 2004). Data analysis was conducted using structural equation modeling in the PLS software.

Findings: The findings indicated that the model, which included individual and contextual risk/protective factors as predictors of substance use, significantly explained the variance in scores attributed to the mediating variables of impaired autonomy and performance, impaired limits, other-directedness, and hypervigilance. Additionally, the model, which included individual and contextual risk/protective factors as predictors of substance use, significantly explained the variance in scores attributed to the criterion variable of attitudes towards substance use.

Conclusion: Based on the results, it can be concluded that maladaptive schemas can explain part of the shared variance between the two factors, risk/protective factors, and attitudes towards substance use in adolescents. In fact, maladaptive schemas play a mediating role in the relationship between risk/protective factors and attitudes towards substance use.
Assessment of the Effectiveness of Mindfulness Training Based on Stress Reduction and Time Management Skills Training on Academic Emotions
Authors: Niknam Khadijeh , Pirani Zabih , Zanganeh Firoozeh
Published: December 2024

Objective: The aim of the present study was to assess the effectiveness of mindfulness training based on stress reduction and time management skills on academic emotions.

Methods and Materials: The research method was a quasi-experimental design with a pre-test-post-test with a control group. The population consisted of all female students in the first cycle of secondary school in the city of Rey during the 2019-2020 academic year, from which 45 students were selected through screening of pre-test results and randomly assigned into two experimental groups and one control group (15 students each). The first experimental group received stress-reduction-based mindfulness intervention derived from Kabat-Zinn's Full Catastrophe Living (2005) over 8 sessions, and the second experimental group received time management skills training from Tracy and Brian (2008) over 10 sessions. Data were collected using the Academic Emotions Questionnaire by Pekrun et al. (2005).

Findings: The analysis of data using multivariate analysis of covariance showed that mindfulness training based on stress reduction and time management skills was effective on students' academic emotions at a significance level of P<0.001. Additionally, the results indicated that mindfulness was more effective on the components of hope, anger, and anxiety of academic emotions, while time management was more effective on the components of enjoyment and fatigue of academic emotions.

Conclusion: It can be concluded that the application of educational interventions in academic processes will facilitate the regulation of students' emotions.
Investigating the Effectiveness of Philosophy Education Based on the Wartenberg Approach on Adolescents' Critical Thinking and Caring Thinking
Authors: Hashempour Mohammad Hossein , Gharibi Hassan , Rahmani Seifollah
Published: December 2024

Objective: The present study aimed to investigate the effectiveness of philosophy education based on the Wartenberg approach on adolescents' critical thinking and caring thinking.

Methods and Materials: The research method was quasi-experimental with a pre-test, post-test, and control group. The statistical population of this study consisted of 12 to 15-year-old adolescents in Tehran Province who lived in residential care centers; 24 adolescents were selected by convenience sampling and randomly assigned to experimental and control groups. The experimental group received 12 sessions of philosophy education, while the control group received no training. Research tools included Ricketts' Critical Thinking Questionnaire and Hedayiati's Caring Thinking Questionnaire. Data analysis was performed using SPSS software version 26 and covariance analysis.

Findings: The results showed that philosophy education for children had a positive and significant impact on improving adolescents' critical thinking and caring thinking.

Conclusion: Therefore, given the effectiveness of this education on critical thinking and caring thinking, it is recommended to provide this education for adolescents.
Prediction of Love Trauma Syndrome Based on Cognitive Emotion Regulation and Early Maladaptive Schemas in Students with Emotional Breakup Experiences
Authors: Yousefi Niaz , Zargham Hajebi Majid , tabarraei Ramin
Published: December 2024

Objective: The present study aimed to predict Love Trauma Syndrome based on cognitive emotion regulation and early maladaptive schemas in students with emotional breakup experiences.

Methods and Materials: This research is considered applied in terms of its goal and descriptive-correlational in terms of methodology. The statistical population included all students from Islamic Azad Universities in Tehran. To select the research sample, 206 individuals who scored above the mean on the Love Trauma Syndrome Questionnaire were chosen through convenience sampling. The research instruments included the Love Trauma Inventory (LTI) (Ross, 1999), the Cognitive Emotion Regulation Questionnaire (CERQ) (Garnefski et al., 2001), and the Young Schema Questionnaire–Short Form (YSQ-SF) (Young, 1994). The data were analyzed using Pearson correlation and simultaneous multiple regression analysis.

Findings: The findings showed a significant negative relationship between cognitive emotion regulation and Love Trauma Syndrome (P<0.01) and a significant positive relationship between early maladaptive schemas and Love Trauma Syndrome (P<0.01). Additionally, cognitive emotion regulation and early maladaptive schemas predicted 53% of the variance in Love Trauma Syndrome (P<0.01).

Conclusion: Based on these findings, it can be concluded that since forming relationships during young adulthood is considered a significant life decision, focusing on cognitive emotion regulation and early maladaptive schemas, and providing education centered on these factors, can enhance interpersonal and emotional relationships.
The Effect of Training Package Informed by Divorcing Mothers' Lived Experiences and on Child Vulnerability
Authors: Ghanbarian Sepideh , Faramarzi Salar , Tabrizi Mehdi
Published: December 2024

Objective: This study aimed to evaluate the impact of a training program, informed by the lived experiences of mothers on the brink of separation, on their children's impairment.

Methods and Materials: Employing a quasi-experimental design with pre-test, post-test design and a control group, the research encompassed all mothers nearing separation in Isfahan city in 2021, who sought pre-divorce counseling. From this population, 30 participants were chosen via convenience sampling, with 15 assigned to the experimental group and an equal number to the control group. The intervention group engaged in eight 90-minute sessions, while the control group was placed on a waiting list. The Brief Impairment Scale (BIS) served as the research instrument. Data analysis entailed both descriptive and inferential statistics, specifically intragroup and intergroup mixed analysis of variance.

Findings: Findings indicate that the training program, rooted in the authentic experiences of mothers facing separation, significantly influences the vulnerability of their children.

Conclusion: Given that the program was tailored to this specific cohort, validated by field experts, and addressed the psychological distress of both mothers and children, it was effective. Consequently, the results underscore the importance of psychologists and counselors delving deeper into these lived experiences to devise therapeutic interventions. Such interventions, derived from the study's emergent themes, should aim to ameliorate the emotional well-being and diminish the impairment of the children involved.
New Insights into Writing Anxiety of EFL Learners: A Context-Specific Qualitative Study
Authors: Firouzi Marziyeh , Zoghi Masoud , Assadi Aidinloo Nader
Published: December 2024

Objective: The objective of this study was to explore how Iranian EFL learners conceptualize writing anxiety and to identify the contributing factors and manifestations of this anxiety within the specific cultural and educational context of Iran.

Methods and Materials: The study employed a qualitative research design using semi-structured interviews to collect data from 38 Iranian EFL learners of varying ages and proficiency levels. The grounded theory approach was used to analyze the data, following the stages of open coding, axial coding, and selective coding to identify key themes and sub-themes related to writing anxiety.

Findings: The analysis revealed one core category, "EFL Writing Anxiety," under which three main themes were identified: "Physiological Arousal," "Dysfunctional Thoughts," and "Maladaptive Behaviors." The findings indicate that Iranian EFL learners experience significant writing anxiety, influenced by fear of negative evaluation, GPA concerns, cultural emphasis on academic success, and traditional grammar-focused teaching methods. The study also found that cognitive anxiety, driven by high expectations and fear of failure, was the most severe form of anxiety experienced during writing.

Conclusion: The study concludes that writing anxiety among Iranian EFL learners is a complex and multifaceted phenomenon influenced by cultural, educational, and psychological factors. Addressing writing anxiety is essential for effective language instruction, and the findings provide valuable insights for educators, researchers, and policymakers to develop strategies to mitigate writing anxiety and improve writing performance in EFL learners.
Examining the Effectiveness of Mindfulness-Based Cognitive Therapy on Narcissism and Perfectionism in Single Women Reluctant to Marry
Authors: Sistani Fahimeh , Khayatan Felor , yousefi Zahra
Published: December 2024

Objective: The present study aimed to investigate the effectiveness of mindfulness-based cognitive therapy on narcissism and perfectionism in single women reluctant to marry.

Materials and Methods: The research design was quasi-experimental with a pretest-posttest and follow-up structure and a control group. The statistical population included all female students from Azad universities in Isfahan in the academic year 2022–2023. Participants were selected based on inclusion and exclusion criteria. A total of 30 participants were recruited using convenience sampling and were randomly assigned to the experimental and control groups (15 participants per group). A pretest was conducted for both groups. The experimental group then received mindfulness-based cognitive therapy across eight sessions, while the control group did not receive any intervention. Data were collected using the Narcissistic Personality Inventory by Ames, Rose, and Anderson (2006), the Perfectionism Questionnaire by Hill et al. (2004), and the Marital Inclination Scale by Heidari et al. (2004). Data were analyzed using repeated measures analysis of variance (ANOVA) in SPSS version 23.

Findings: The results indicated that mindfulness-based cognitive therapy significantly reduced narcissism and perfectionism in single women reluctant to marry, and the therapeutic effects persisted in the follow-up phase (F = 9.95, P < 0.01).

Conclusion: Based on the findings of this study, mindfulness-based cognitive therapy can be utilized to reduce narcissism and perfectionism in single women reluctant to marry.
Predicting Students' Academic Performance Based on Academic Self-Concept, Academic Resilience, Academic Engagement, Emotional Self-Regulation, and Self-Esteem
Authors: Dawood Salman Haidar , Mahdad Ali , Nassir Khalifa Al-Hashmy Rasheed , Manshaee Gholamreza
Published: December 2024

Objective: The aim of the present study was to predict academic performance based on academic self-concept, academic resilience, academic engagement, emotional self-regulation, and self-esteem among students.

Methods and Materials: The statistical population of this correlational- descriptive study included all students of the Faculty of Educational Sciences and Humanities at the University of Wasit, Iraq, in 2023. From this population, a sample of 306 students (115 female students and 185 male students) was selected using a multi-stage cluster random sampling method. Data were collected through the Academic Performance Questionnaire (Pham & Taylor, 1999), Academic Self-Concept Questionnaire (Chen & Thompson, 2004), Academic Engagement Questionnaire (Reeve & Tseng, 2011), Academic Resilience Questionnaire (Samuels, 2006), Emotional Self-Regulation Questionnaire (Hoffman & Kashdan, 2010), and Self-Esteem Questionnaire (Rosenberg, 1965) and were analyzed using Pearson correlation coefficient and stepwise regression analysis.

Findings: The findings of the study indicated that there was a significant positive relationship between all research variables and academic performance (P<0.001). Additionally, the results of the stepwise regression analysis showed that in four steps, academic engagement, self-esteem, academic resilience, and emotional self-regulation could collectively predict 72% of the variance in academic performance, with academic engagement having the highest predictive power at 63%.

Conclusion: Based on the findings of this study, it is suggested that the policymakers of higher education at the University of Wasit prioritize the enhancement of academic engagement and the strengthening of personality and psychological variables such as self-esteem and self-regulation, as well as contextual factors such as academic self-concept and academic resilience, to empower students and advance educational goals and academic success.
Examining the Effectiveness of Cognitive Learning in Enhancing Intrinsic Motivation for Learning Mathematics in Adolescents
Authors: Sohrabi Omabad Atefe , Askarian Mahnaz , Niusha Beheshte
Published: December 2024

Objective: The objective of this study was to assess the effectiveness of brain-based learning methods in enhancing seventh-grade students' intrinsic motivation and performance in mathematics.

Methods and Materials: An applied, intervention-based study design was employed with 39 seventh-grade male students from a public middle school in Tehran during the 2023-2024 academic year. The study used simple random sampling and included three phases: baseline, intervention, and post-intervention. Quantitative data were collected using the Mathematics Motivation Scale (MMS), while qualitative data were gathered through field notes. The intervention phase incorporated brain-based learning activities such as visual storytelling, role-playing, kinesthetic learning, brainstorming, critical thinking, and creative thinking exercises. Data analysis involved one-way repeated measures analysis of variance (ANOVA) and thematic analysis using SPSS and NVivo software.

Findings: The results indicated that the students' average scores for intrinsic motivation and performance in mathematics were significantly higher during the intervention phase compared to the baseline phase. Although scores decreased in the post-intervention phase, they remained higher than the baseline scores. The ANOVA results, adjusted using the Huynh-Feldt correction, showed a significant effect of brain-based learning activities on intrinsic motivation (F(2.95) = 111, p < 0.01, ηp2 = 0.75). Qualitative analysis supported these findings, highlighting increased student engagement and participation during the intervention phase.

Conclusion: Brain-based learning activities significantly enhance students' intrinsic motivation and performance in mathematics. The study underscores the importance of incorporating such strategies into regular teaching practices to sustain high levels of student motivation and achievement.