bluuebunny/crossref_metadata_2025 huggingface dataset:
Unveiling the Art and Science of Investment and Financing Decision Making
Authors: Ibrahim Fifi Nurafifah
Published: May 2024

Purpose: This study explores the intricate dynamics of investment and financing decision-making, emphasizing the integration of qualitative judgment and quantitative analysis. The research investigates the foundational theories, empirical findings, and practical implications that shape these decisions, highlighting their significance in financial management and economic activities.
Research Design and Methodology: The research employs a comprehensive literature review methodology, systematically analyzing existing scholarly works to identify themes, patterns, and relationships within the literature. This approach involves identifying relevant sources through extensive search strategies, critically evaluating the quality and relevance of the selected literature and synthesizing key findings and theoretical insights.
Findings and Discussion: The study reveals that a complex interplay of theoretical frameworks and empirical evidence drives investment and financing decisions. The Modigliani-Miller theorem and the efficient market hypothesis provide foundational insights, while behavioral finance highlights cognitive biases that influence decision-making. Empirical findings emphasize the role of firm-specific characteristics and market conditions in shaping capital structure choices and investment behavior. Practical considerations, including managerial overconfidence and asymmetric information, further complicate these decisions.
Implications: The insights from this research are valuable for practitioners, policymakers, and researchers. Understanding the multifaceted nature of investment and financing decisions can enhance financial management practices, inform regulatory frameworks, and guide future research directions. Integrating theoretical insights with empirical evidence and practical considerations enables stakeholders to navigate the complexities of financial markets, fostering informed decision-making and promoting sustainable economic growth.
Revolutionizing Cybersecurity with Machine Learning: A Comprehensive Review and Future Directions
Authors: Chopra Bhuvi
Published: May 2024

In the realm of computing, data science has revolutionized cybersecurity operations and technologies. The key to creating automated and intelligent security systems lies in extracting patterns or insights from cybersecurity data and building data-driven models. Data science, encompassing various scientific approaches, machine learning techniques, processes, and systems, studies real-world occurrences through data analysis. Machine learning techniques, known for their flexibility, scalability, and adaptability to new and unknown challenges, have been applied across many scientific fields. Cybersecurity is rapidly expanding due to significant advancements in social networks, cloud and web technologies, online banking, mobile environments, smart grids, and more. Various machine learning techniques have effectively addressed a wide range of computer security issues. This article reviews several machine learning applications in cybersecurity, including phishing detection, network intrusion detection, keystroke dynamics authentication, cryptography, human interaction proofs, spam detection in social networks, smart meter energy consumption profiling, and security concerns associated with machine learning techniques themselves. The methodology involves collecting a large dataset of phishing and legitimate instances, extracting relevant features such as email headers, content, and URLs, and training a machine learning model using supervised learning algorithms. These models can effectively identify phishing emails and websites with high accuracy and low false positive rates. To enhance phishing detection, it is recommended to continuously update the training dataset to include new phishing techniques and employ ensemble methods that combine multiple machine learning models for improved performance
Ibnu Battuta, Moroccan Explorer and Contributor to Geography in Indonesia
Authors: Rudy Prasetyo  , Muhammad Rico  , Muhammad Riduan
Published: May 2024

Ibn Battuta was a famous Muslim traveler and jurist in the 14th century because he was known as the greatest adventurer of pre-modern times. The story of his fantastic journey made the Western world respect him as the "Marco Polo of the Muslim World". Ibn Battuta was also a famous Arab poet of his time with his adventures to various corners of the world. The method used in this research is literature study, namely by adjusting research variables to research that is relevant to this study. The results of the research show that the traces of his travel steps have become proof of his reliability as a traveler. One of his works which contains the story of his journey is written in his work entitled Tuḥfatun iNuẓẓār ifī iGharāʾibil iAmṣār iwa iAjāʾibil Asfār which was compiled by Ibnu Juzay, but is often simply called Ar-Rihlah Ibnu Battuta. In his work, Ibnu Battuta wrote down various things he encountered in every city or region he visited, so that he could observe and understand every socio-cultural condition of the local people themselves. With the many places he has visited, it is no longer surprising that he has made a major contribution to various sciences, especially geography, because it was the journey he undertook that ultimately opened up new travel routes and introduced that humans living in this world have a diversity of cultures and social conditions. - particularly in Indonesia, the contribution of this research is to describe Ibn Battuta's journey so that it can become a study and example for all readers in social life.
Intersecciones entre la salud mental y la actividad física: revisión de beneficios y mecanismos neurofisiológicos
Authors: Franco Gallegos Leticia Irene , Aguirre Chávez Juan Francisco , Ponce de León Alejandra Cossío , Robles Hernández Guadalupe Simanga Ivett , Montes Mata Karla Juanita
Published: May 2024

RESUMEN
El estudio investiga la relación entre la actividad física y el bienestar psicológico, específicamente el estrés, la ansiedad, el autoconcepto y la autoestima. Con una muestra de 324 jóvenes adultos en México, se utilizó un cuestionario con instrumentos psicométricos validados para medir estrés percibido, ansiedad estado, autoestima y autoconcepto. La metodología incluyó correlaciones de Pearson y ANOVA para analizar los datos recogidos a través de una encuesta distribuida digitalmente. Los resultados indican que hay una relación inversa entre el estrés y variables positivas de autoestima y autoconcepto. Además, se identificó un "punto dulce" de 4 a 5 horas por semana de actividad física donde los participantes mostraron las puntuaciones más altas de autoestima, sugiriendo un balance óptimo para los beneficios psicológicos. Cabe destacar que la ansiedad estado no presentó una correlación significativa con la autoestima negativa, señalando la posible existencia de factores de resiliencia aún por explorar. Este estudio resalta la necesidad de políticas y programas educativos que fomenten la actividad física, enfatizando el impacto del ejercicio en la reducción del estrés y la mejora de la autoestima y el autoconcepto. Los hallazgos son relevantes para profesionales clínicos y la elaboración de políticas para mejorar la calidad de vida, implicando que un estilo de vida activo puede mejorar aspectos clave del bienestar mental y físico frente a los retos sanitarios y garantizar un futuro resiliente y saludable para la sociedad.
Computer-Aided Neuro-fuzzy Algorithm for Prediction of Ginger(Zingiber officinale) Rhizome Drying
Authors: Oke Emmanuel Olusola , kereke Eze Aru , Igwe Johnson Eze , Nwankwo Frank Henry
Published: May 2024

Neuro-fuzzy modeling technique has been used for the development of computer-based adaptive process control systems for most postharvest operations instead of convectional mechanistic modeling technique owing to its good prediction without prior knowledge of process operation. Therefore, adaptive neuro-fuzzy inference system (ANFIS) modeling and prediction of ginger (Zingiber officinale) rhizome moisture content in a forced convective tray dryer was investigated in this study. Computer codes for an exhaustive search and grid partitioning were written in the Matlab software environment and used for the analysis of experimental data obtained from the ginger rhizome drying experiment. The data were trained and checked using the grid-partitioning ANFIS method for the development of neuro-fuzzy network for ginger drying prediction. The prediction accuracy of the network was evaluated by varying input and output Membership Function (MF) types. The exhaustive search analysis shows that drying time (DT) has the highest effect on the moisture content, followed by air drying temperature (ADT), air relative humidity (ARH), and air flow velocity (AFV). Moreover, combination of DT and ADT as two interactive variables; and combination DT, ADT and ARH as three interactive variables show highest effect on ginger moisture content removal during the process. Generalized bell (gbell) MF with two MF for each input variable and constant output MF 2 type were obtained as the best ginger drying ANFIS network with corresponding R and MSE of 0.9667 and 0.0971, respectively. Therefore, this study shows the reliability of the ANFIS model for the prediction of ginger rhizome drying in a tray dryer.
Techno-Economic Modelling of Bioclarified Water Recovery from Petroleum Wastewater Using ASPEN Software and Box-Behnken Design
Authors: Osoh Augustine K. , Aru Okereke E. , Eze gwe J. , Adeyi Oladayo , Ibezim Okolo B. , Adeyi John A. , Nwosu-Obieogu Kenechi , Olusola Oke E.
Published: May 2024

Application and efficiency of bio-coagulants for petroleum wastewater biocoagulation, flocculation, and sedimentation (bioclarification) are still confined to laboratory proof-of-concept practice. The scale-up process design of bio-clarified water recovery from petroleum wastewater has been a major research lacuna. This paper presents ASPEN Base Case Scale-Up Simulation (BCSUS) using optimum laboratory experimental data and techno-economic predictive models for bioclarified water production from petroleum wastewater. The BCSUS, process design, and economics were performed in the ASPEN Batch Process Developer V10 environment. Predictive models for predicting and optimizing techno-economic parameters such as return on investment (ROI), payback time (PBT), and production rate (PR) were achieved in RSM via the Box-Behnken Design (BBD) technique of Design Expert V13. The base case techno-economic model gave batch size, annual production cost, Total Capital Investment (TCI), PBT, and ROI of 406kg, $9195, $631484, 5.18 years, and 17%, respectively, at the selling price of 2 $0.225. The regression models gave R values of 0.9984 for ROI and 0.9920 for PBT, while the production rate was 0.8867. This study shows that a petroleum wastewater bioclarification scale-up design is feasible.
Assessment of students by using tools to assess the holistic performance of students at primary level of students
Authors: Sujata Bharti
Published: May 2024

This research paper provides a comprehensive review of Assessment of students during learning process in a classroom. Assessment play a crucial role in facilitating the teaching and learning process by providing resources that engage students, enhance understanding, conceptual clearity, critical thinking, abstract thinking, feedback, improvement of students learning process in a classroom and promote active learning. This research paper explores various types of tools and their characteristics, design principles, and their effectiveness in diverse educational settings. Additionally, it examines the role of using tools in creating and utilizing assessment tools as well as the importance of aligning with achieve curriculum goals and student needs. The paper concludes with recommendations for educators and policymakers to maximize the potential of assessment to improving student learning progress.
SELF-EFFICACY OF THE SECONDARY STUDENTS IN REGARD TO THEIR TYPE OF SCHOOL AND GENDER
Authors: Prachurjya Borah  , Dr. Nisanth PM
Published: May 2024

Self-efficacy refers to an individual's beliefs about their capability to effectively manage the situations that affect their lives. Efficacy beliefs assist individuals in evaluating their ability to apply effort, persevere through obstacles and hurdles, and exhibit resilience when confronted with unfavourable circumstances. The present study investigates the self-efficacy among the secondary students. The objectives of this study is to investigate the level of self-efficacy among secondary students and to compare the self-efficacy in terms of their type of school i.e. government and private and gender i.e. male and female Descriptive survey method was used in the study. The sample of the study comprised of 196 secondary students and random sampling technique was used. For collection of data Self-Efficacy Scale developed by Arun Kumar Singh and Shruti Narain (2013) was used.  Both descriptive analysis and graphical representation will be used to analyse the data.
Presenting a Model of Psychological Vulnerability Based on Alexithymia in Multiple Sclerosis Patients: The Mediating Role of Anxious Thoughts
Authors: Salimi Laleh , Zarbakhsh Bahri Mohammadreza , Pirkhaefi Alireza
Published: May 2024

Among the stress-inducing events that impact an individual's psychological well-being, chronic illnesses such as multiple sclerosis (MS) are significant. These patients not only face physical challenges but also encounter numerous psychological issues that further exacerbate their illness and contribute to their psychological vulnerability. The current study aimed to determine the indirect effect of Alexithymia on the psychological vulnerability of MS patients, mediated by anxious thoughts. The study method was descriptive-correlational. The population consisted of members of the MS Society of Tehran in 2022. A total of 312 patients were selected using convenience sampling (n = 312). Data collection tools included the Toronto Alexithymia Scale (Bagby, Parker, & Taylor, 1994), the 25-Item Symptoms Checklist by Nejarian and Davoudi (2001), and the Wells Anxious Thoughts Questionnaire (1994). Data analysis using structural equation modeling indicated that the model of psychological vulnerability based on Alexithymia with the mediating role of anxious thoughts fits well. Also, the effect of Alexithymia on psychological vulnerability (β = 0.371; p < 0.001), the effect of anxious thoughts on psychological vulnerability (β = 0.463; p < 0.001), and the effect of Alexithymia on anxious thoughts (β = 0.367; p < 0.001) were positive and significant. The findings of this study could guide the development of comprehensive therapeutic models for patients with MS and their emotional issues.
Efficacy of Acceptance and Commitment Therapy on Alexithymia, Psychological Capital, and Subjective Vitality in Mothers with COVID-19 and Autistic Children
Authors: Razmkhah Nasim , Jafar Tabatabaei Samaneh Sadat , Nasri Maryam , Shahabizadeh Fatemeh
Published: May 2024

The purpose of this study was to compare the efficacy of Acceptance and Commitment Therapy (ACT) in reducing Alexithymia, enhancing psychological capital, and increasing subjective vitality in mothers diagnosed with COVID-19 who have autistic children. This was a quasi-experimental study employing a pre-test, post-test, and follow-up design with a control group. The sample consisted of mothers diagnosed with COVID-19 having autistic children in the city of Mashhad, who were referred to the Ava Health Center (Total: 70 individuals). Data were collected using random cluster sampling, and finally, 30 individuals were selected and assigned to two groups of 15 participants each in the experimental and control groups. For data collection and evaluation of the desired characteristics and conditions, a demographic form and questionnaires on marital intimacy, forgiveness, and marital boredom were used. Participants in the experimental group underwent therapy in eight 90-minute sessions held twice weekly based on Bowen's (2009) family therapy protocol. Data were analyzed using repeated measures ANOVA with the SPSS-16 statistical software. The findings indicated that Acceptance and Commitment Therapy was effective in reducing Alexithymia (p = .004), increasing psychological capital (p = .001), and enhancing subjective vitality (p = .001) in the mothers with COVID-19 and autistic children (p > .05). Acceptance and Commitment Therapy can be utilized to improve Alexithymia, psychological capital, and subjective vitality in mothers diagnosed with COVID-19 who have autistic children.
The Relationship Between Brain-Behavior Systems, Dark Personality Traits, Alexithymia, and Theory of Mind Deficits in Sexual Offenders
Authors: Alavi Seyed Hossein , Mahmoud Alilou Majid , Khanjani Zeynab
Published: May 2024

The aim of the current research is to examine the relationship between brain-behavior systems, dark personality dimensions, and Alexithymia with theory of mind deficits in sexual offenders. For this purpose, 80 inmates from the central prison of Bojnurd were selected using purposive sampling. The variables were measured using the Gray-Wilson Personality Questionnaire (GWPQ), the Dirty Dozen scale of dark personality traits, the 20-item Toronto Alexithymia Scale (TAS-20), and the Reading the Mind in the Eyes Test (RMET). Data were analyzed using Pearson correlation coefficients and multiple regression analysis. The results showed a significant positive correlation between the fight system and theory of mind deficits; and significant negative correlations between the flight and freeze systems, all aspects of dark personality dimensions, difficulty in identifying and describing feelings, and overall Alexithymia with theory of mind deficits. The regression analysis findings suggest that the fight/flight/freeze systems, dark personality traits, and Alexithymia play predictive roles in mind-reading abilities.
On L-fuzzy approximation operators and L-fuzzy relations on residuated lattices
Authors: Kondo M.
Published: May 2024

We consider properties of L-fuzzy relations and L-normal operators for a residuated lattice L in detail and show that the class RL(U) of all L-fuzzy relations on U and the class NL(U) of all L-normal operators are residuated lattices and they are isomorphic as lattices. Moreover, we prove that for any L-normal operators F, it is reflexive (or transitive) if and only if the L-fuzzy relation RF induced by F is reflexive (or transitive) respectively.
Extended Ideals in residuated lattices
Authors: Liu T. , Xin X.L. , Yang X.F.
Published: May 2024

In this paper, we generalized the notion of extended ideals and stable ideals associated to a subset B of a residuated lattices L and we discuss what kind of residuated lattices have extended ideals. Then we investigate the related properties of them. We show that if L is an involutive residuated lattice, then EI(B) is a stable ideal relative to B and So, EI(B)= $\bigcap $ { J : J is stable relative to B and $I \subseteq J $}. We also give a characterization of this extended ideal: EI(B)= (B] --> I in the complete Heyting algebra $(\operatorname{Id}(L), \wedge, \vee, \rightarrow,\{0\}, L) $. We also prove that the class S(B) of all stable ideals relative to $B \subseteq L $ is a complete Heyting algebra. Finally, we prove that the set of extended ideals and the set of extended filters on involutive residuated lattices are one-to-one correspondence.
Fuzzy n-fold fantastic filters on hoop algebras
Authors: Namdar A.
Published: May 2024

In this paper, first we introduce the concept of fuzzy n-fold positive implicative filters on hoop algebras and study some of properties. Next we define and study fuzzy n-fold fantastic filters on hoop algebras. Also, the relationship between fuzzy n-fold positive implicative filter and some other fuzzy filters likeness fuzzy n-fold implicative filter and fuzzy n-fold fantastic filters are investigated for example every fuzzy n-fold implicative filter is a fuzzy n-fold positive implicative filter on hoop algebras. Then we obtain some condition equivalent with fuzzy n-fold fantastic filters and every fuzzy filter on chain hoop algebra is a fuzzy n-fold fantastic filter. Finally we show that the quotient of fuzzy n-fold fantastic filters is a Boolean algebra.
L-fuzzy algebraic substructure
Authors: Xin X.L. , Xiao F.H. , Yang X.F.
Published: May 2024

This article aims to provide a method for defining L-fuzzy algebraic substructures on general algebras. Concretely, the properties of L-fuzzy sets are first reviewed, and their representations are then provided. Next, algebraic substructures are generalised as the closure systems on the power set of the algebra, and the properties of the prime and maximal elements in the above closure system are investigated. Based on these facts, L-fuzzy algebraic substructures with respect to the closure system are defined and studied. Two equivalence characterisations of the sup property of the ordered set L are provided using L-fuzzy substructures. Similarly, some properties of L-fuzzy prime and maximal substructures with respect to the closure system are discussed. Finally, to demonstrate the broad applicability of the theory of L-fuzzy algebraic substructures, the theory is applied to some specific algebraic structures, such as groups and pseudo MV-algebras.
Modal operators on BCK-algebras
Authors: Bakhshi M.
Published: May 2024

In this paper, modal operators on BCK-algebras, especially BCK-algebras with condition (S) are introduced and several properties and characterizations of them are investigated. Also, it is investigated under what conditions these modal operators form a lattice. Furthermore, some special modal operators are introduced and their properties and characterizations of them are obtained, especially in some classes of BCK-algebras such as positive implicative BCK- algebras.
Integral and obstinate prefilters of hyper EQ-algebras
Authors: Paad A.
Published: May 2024

The main goal of this paper is to introduce integral hyper EQ-algebras, integral (pre)filters and obstinate (pre)filters of hyper EQ-algebras. In the following, some characterizations of these (pre)filters in hyper EQ-algebras are investigated and it is proved that the quotient hyper EQ-algebras induced by a filter F is an integral hyper EQ-algebra if and only if F is an integral filter. Moreover, the concept obstinate (pre)filter in hyper EQ-algebras is introduced and some related properties are provided. Finally, the relationship among obstinate (pre)filters and some type of other (pre)filters such integral, maximal, (positive) implicative and fantastic (pre)filters in hyper EQ-algebras are studied.
The Relationship Between Psychological Well-being and Creative Self-efficacy in High School Students
Authors: Ashkan Kashanian Amir , Sheikhpour Mahmoud
Published: May 2024

Objective: This study aimed to examine the relationship between psychological well-being and creative self-efficacy in high school students. Methods and Materials: The research method was descriptive-correlational and applied in terms of purpose. The data collection method was field-based, using the Psychological Well-being Questionnaire by Ryff (1989) and the Creative Self-Efficacy Questionnaire by Beghetto (2006). The statistical population of this study included all male and female first-year high school students in District 5 of Tehran during the 2021-2022 academic year, totaling 10,000 individuals. According to Morgan's sampling table, 370 students were selected as the statistical sample through random sampling, and the questionnaires were distributed among them. The validity and reliability of the questionnaires were confirmed using expert opinions and Cronbach's alpha test. To test the research hypotheses, Pearson correlation coefficient was used with the help of SPSS software. Findings: Findings indicated a positive and significant relationship between all dimensions of psychological well-being and creative self-efficacy. Conclusion: It is recommended that workshops and educational classes be conducted to provide necessary awareness and training to adolescents, parents, and educational and training instructors on reducing anxiety, tension, and depression, as well as useful coping strategies. This will also help increase students' creative self-efficacy.
The Effectiveness of Schema Therapy on Impulsivity, Sexual Variety Seeking, and Anxiety in Borderline Patients
Authors: Mazloumi Farima , Pourasghar Mehdi , Shariatnia Kazem
Published: May 2024

Objective: Borderline Personality Disorder (BPD) is a complex disorder associated with significant prevalence, mortality, and public health costs. This study aimed to determine the effectiveness of schema therapy on impulsivity, sexual variety seeking, and anxiety in borderline patients. Methods and Materials: This study was a clinical trial with pre-test, post-test, and follow-up along with a control group, conducted in a semi-experimental research design. The statistical population consisted of individuals with BPD who visited psychology and psychiatry clinics in Sari from April to June 2022 (N=172). The sample was selected using the convenience sampling method and included two groups of 10 participants each (experimental and control). The data collection tools were the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (First, Spitzer, Gibbon, & Williams, 1997), Beck Anxiety Inventory (Beck & Steer, 1990), Barratt Impulsiveness Scale (Fossati et al., 2002), and Sexual Variety Seeking Questionnaire (Aref-Nazari et al., 2011). Data were analyzed using repeated measures ANOVA with SPSS.22 software. Findings: The results indicated that schema therapy was effective in reducing impulsive behaviors (F=66.00, P<0.001), sexual variety seeking (F=29.82, P<0.001), and anxiety (F=3.00, P<0.001) in borderline patients. Conclusion: It can be concluded that schema therapy is effective in reducing impulsivity, sexual variety seeking, and anxiety in borderline patients, and can be utilized to mitigate the psychological problems in these patients.
Development of a Structural Model of Emotional Divorce Based on the Dark Triad Personality Traits and Conflict Resolution Styles with the Mediation of Marital Conflicts
Authors: Sadegh Khani Marjan , Emamipour Suzan , Mirhashemi Malek
Published: May 2024

Objective: This study aims to model the structural equations of emotional divorce based on dark personality traits and conflict resolution styles with the mediation of marital conflicts. Methods and Materials: The research method was descriptive-correlational based on structural equations. The statistical population included all married women aged 25-50 years at Islamic Azad University (Yadegar-e-Imam, Abolfatoh Razi (Mothers), and Tehran North campuses) in the first half of 2021, selected online due to the COVID-19 pandemic using convenience sampling. The research instruments included the Emotional Divorce Questionnaire (Gottman, 1994), the Dark Triad Personality Questionnaire (Johnson & Webster, 2010), Rahim's Conflict Resolution Styles (Rahim, 1983), and the Marital Conflict Questionnaire (Sanaei, 1996). Data were analyzed using SPSS and AMOS software. Findings: The results of structural equation modeling indicated that the proposed model fits the empirical data (RMSEA = 0.063). There was a significant relationship between Machiavellianism and emotional divorce (β = 0.173), and between constructive style (β = -0.556) and non-constructive style (β = 0.26) with marital conflicts. The indirect path coefficient of narcissistic traits (P = 0.007), constructive (P = 0.011) and non-constructive conflict resolution styles (P = 0.005) with the dependent variable emotional divorce through the mediating variable of marital conflicts was significant. However, the mediating role of marital conflicts in the relationship between antisocial traits (P = 0.798) and Machiavellianism (P = 0.877) with emotional divorce was not confirmed. Conclusion: Dark personality traits and constructive conflict resolution styles can indirectly affect emotional divorce by influencing marital conflicts, in addition to their direct effect.
Determining the Effectiveness of Positive Psychology on Resilience and Depression Among Master's Students at Payame Noor University of Karaj
Authors: Nokhbe Zare Fatemeh , Mirzaei Parvin , Mousavi Asl Seyed Ali
Published: May 2024

Objective: The aim of this research was to determine the effectiveness of positive psychology on resilience and depression among master's students at Payame Noor University of Karaj. Methods and Materials: This study employed an experimental methodology with a quasi-experimental design, specifically a pretest-posttest with a control group. The statistical population comprised all master's students at Payame Noor University of Karaj. The sample size was considered to be 30 individuals. Data collection methods included both library and field approaches. The data collection instruments used in this study were two standardized questionnaires: the Connor-Davidson Resilience Scale and the Beck Depression Inventory (1978), along with a protocol for group-based positive psychological training and guidance. The data were analyzed using the Statistical Package for the Social Sciences, version 21 (SPSS). Descriptive statistics, including mean and standard deviation, were used in the pretest and posttest stages. To assess the normality of the variables, the Kolmogorov-Smirnov test was employed, and to examine homogeneity of variances, Levene's test was used. Analysis of covariance (ANCOVA) was applied to compare the mean scores of the experimental and control groups and to account for the effect of pretest scores and other confounding variables on the posttest. Findings: The results indicated that positive psychology training had a significant impact on the resilience of the master's students at Payame Noor University of Karaj. Conclusion: In sum, positive psychology training improved the resilience and depression levels of the students, with a more pronounced effect on resilience compared to depression.
The Effectiveness of Cognitive Behavioral Therapy on Metacognitive Beliefs and Social Competence of Sexually Abused Girls
Authors: Mirkhan Monire Sadat , Dortaj Fariborz , Nasri Sadegh , Mardani Rad Mozhgan
Published: May 2024

Objective: Many traumatic events, including physical, psychological, and sexual abuse, occur for girls. Evidence shows that such experiences can lead to a range of psychological effects. Adolescent girls' confrontation with these traumas has negative consequences on their mental health. This study aimed to determine the effectiveness of cognitive-behavioral therapy on the metacognitive beliefs and social competence of sexually abused girls aged 9 to 13 years. Methods and Materials: This research employed a quasi-experimental method with a pretest-posttest design and a control group. From 43 sexually abused girls aged 9 to 13 who referred to Peyvand Counseling Services and Razi Psychological Services affiliated with the Alborz Province Department of Education, a sample of 30 was selected through convenience sampling and randomly assigned into two groups of 15 (one group received cognitive-behavioral therapy and the control group received no intervention). The instruments used in this study were the Cognitive Beliefs Questionnaire (Baco et al., 1990) and the Social Competence Questionnaire (Felner et al., 2009). Data were analysed by SPSS-27 and analysis of covariance method. Findings: The results of covariance analysis showed that cognitive-behavioral therapy led to an increase in positive metacognitive beliefs and a decrease in negative metacognitive beliefs (p ≤ 0.005). Additionally, the results indicated that the cognitive-behavioral approach was effective in increasing the social competence of sexually abused girls (p ≤ 0.005). Conclusion: Based on the research findings, it is suggested to use cognitive-behavioral therapy to improve the metacognitive beliefs and social competence of sexually abused girls.
Investigation of the Role of Learning Management Systems in Education Based on the Internet of Things
Authors: Fatehi Reyhaneh , Cherabin Moslem , Karimi Mohammad , Zendehdel Ahmad
Published: May 2024

This review study investigates the role of Learning Management Systems (LMS) in education within the context of the Internet of Things (IoT). Higher education institutions, particularly universities, must adapt their contents, activities, and methods to function more efficiently in a digital context. LMS is a tool for creating, distributing, tracking, and managing educational and training materials. IoT, a transformative technology, significantly impacts various aspects of human life, including security, healthcare, recycling, and environmental monitoring. This paper addresses the significance of IoT technology in education, particularly in enhancing the efficiency of teaching and learning. The framework for an IoT-enhanced LMS is part of a three-year research project at the Arts, Sciences, and Technology.
Examining the Relationship Between Adolescent Perception of the Family Psychosocial Climate with Depression and Suicidal Tendencies in Adolescent Girls
Authors: Ziafati Bagherzadeh Seyyedeh Maryam , Froumandi Sahar , Haniyeh Sajadishahri Seyedeh , Zamanian Maryam , Khodadadi Neda , Akbari Moslem
Published: May 2024

Objective: Adolescence is a critical stage of psychological development, during which many psychological and personality disorders typically begin to manifest. The aim of this study was to examine the relationship between adolescent perception of the family psychosocial climate with depression and suicidal tendencies in adolescent girls. Methods and Materials: The research method was quantitative and correlational. The statistical population included all high school female students in the city of Torbat-e Jam during the 2021-2022 academic year, from which 160 individuals were selected using cluster sampling. The research instruments in this study included the Adolescents' Perception of Family Psychosocial Climate Questionnaire by Rajayi, Khoei Nejad, and Toosi (2013), the Beck Depression Inventory (1961), and the Teenagers' Suicide Questionnaire by Keith (1984). Data analysis was performed using Pearson correlation coefficient and regression analysis with SPSS-25 software. Findings: The results of the study indicated that there is a significant negative relationship between adolescents' perception of the family psychosocial climate with depression (r=-0.55, p<0.01) and suicidal tendencies (r=-0.51, p<0.01) in adolescent girls. Furthermore, the results showed that the family autonomy and parental intimacy components predict adolescent depression, while the family security and agreement and consistency between parents and children components predict adolescent suicidal tendencies. Conclusion: The family psychosocial climate is an important variable that is associated with depression and suicidal tendencies in adolescent girls.
Religious Encounters and Social Dynamics in Burkina Faso
Authors:   27056
Published: May 2024

Burkina Faso’s religious landscape, where traditional, Islamic and Christian religions intersect, is part of a social and historical context spread over several centuries marked by a diversity that has been studied by researchers for a long time. As the security situation deteriorates in recent years in the Sahel region, the religious question is increasingly being redefined and placed at the forefront of the Burkinabe socio-political scene. This collective work offers readers a synthesis of the knowledge accumulated by researchers over the past decades on the different religions and the social dynamics associated with them to shed light on the management of the country’s religious diversity and coexistence without masking the new tensions and conflicts being experienced. The first part of the book thoroughly explores the religious movements and currents present in the country to underline the centrality of religion in understanding social change in its polity. In the second part, the interactions between religions are analyzed across current transversal themes and questions, such as education, demography, politics, the role of faith-based NGOs, the historicity of the notion of jihad or the use of new information and communication technologies to show the connections within the construction of knowledge and political contexts. The contributions acutely show that recent socio-political dynamics in Burkina Faso are undoubtedly redefining religious boundaries and exposing the limitations of a historically and socially rooted contexts of diversity, yet the question remains on how to draw on this diversity and religious coexistence to confront new emerging tensions and conflicts.
KONSEP TAHADDUST BIN NI'MAHSURAH AD-DUHA AYAT 11 DALAM PERSPEKTIF TAFSIR Al-MISBAH
Authors: Nuur An-Nafi
Published: May 2024

Artikel ini bertujuan untuk mengkaji kata tahaddust bin ni'mah pada surah ad-duha ayat 11 dalam tafsir al misbah. tahaddust bin ni'mah ini sangat marak di media sosial yang banyak sekali orang salah mengartikan maksud dari rasa syukur kepada allah swt, tak jarang orang mengetahui apa itu rasa syukur dan bagaimana mengungkap kan rasa syukur tanpa adanya flexing di media sosial, maka dari itu peneliti sangat ingin mengkaji kata tahaddust bin ni'mah dalam surah ad -duha ayat 11 dalam makna yang terkandung tafsir al-misbah karya M.Quraish Shihab. peniliti banyak mengambil data dari Jenis penelitian adalah Pustaka (library research) dan metode penelitian adalah deskriptif analitis, Akan tetapi manusia banyak riya’ di media social dengan berlindung kata tahaddust bin ni;mah, dan bagaimana cara menerapkan rasa syukur tersebut di mulai dengan mengubah cara pandang seseorang terhadap nikmat. dalam memandang nikmat mestinya dimulai dari apa yang dimiliki peneliti akan menjabarkan kata tahaddust bin ni'mah sebagai cara bersyukur yang sesungguhnya menurut tafsir al misbah.
PENGARUH LITERASI DIGITAL TERHADAP PEMBERDAYAAN MASYARAKAT DALAM KONTEKS SDGS 2030
Authors: Nayla Meilany Putri  , Widya Listiawati  , Ichsan Fauzi Rachman
Published: May 2024

Artikel tersebut membahas pentingnya literasi digital dalam memberdayakan masyarakat untuk mencapai Tujuan Pembangunan Berkelanjutan (SDGs) pada tahun 2030. Literasi digital disorot sebagai faktor penting dalam meningkatkan akses terhadap informasi dan pengetahuan, mendorong partisipasi masyarakat, mendorong kewirausahaan dan inovasi, serta mengembangkan keterampilan digital. Metode yang dilakukan dalam penulisan artikel ini adalah literature review. Jenis penelitian yang melibatkan analisis dan sintesis dari berbagai sumber yang relevan dengan topik yang diteliti. Sifat sistematis dan terstruktur dari metodologi literatur review memungkinkan evaluasi kualitas sumber, identifikasi kesenjangan penelitian, pengembangan kerangka kerja teoritis, dan peningkatan kualitas penelitian. Hasil dari literature review tersebut sehingga dapat menjadi acuan untuk literatur baru. Selain itu, literasi digital tidak hanya dimaknai sebagai kemampuan menggunakan teknologi digital, namun menjadi sebuah sikap dan kemampuan seseorang dalam memberdayakan dan mengakses teknologi digital secara efisien. Penelitian ini menekankan pentingnya literasi digital dalam mendukung dan mencapai agenda SDGs 2030, menyarankan strategi seperti memperluas akses teknologi, mengintegrasikan pendidikan literasi digital di sekolah, bermitra dengan sektor swasta, memberdayakan perempuan dan kelompok rentan, menciptakan konten lokal, mendukung UKM, dan meningkatkan kesadaran melalui kampanye.
Hubungan antara budaya organisasi dengan kepuasan kerja pegawai di Kantor KPU Kota Gunungsitoli
Authors: Lase Yatiaman , Lase Delipiter , Telaumbanua Eliagus , Lase Heseziduhu
Published: May 2024

Penelitian ini menguji hubungan antara budaya organisasi dan kepuasan kerja karyawan di Kantor KPU Kota Gunungsitoli. Dengan menggunakan metodologi penelitian kuantitatif, data dikumpulkan dari 30 karyawan dengan menggunakan kuesioner terstruktur berdasarkan skala Likert. Variabel independen, budaya organisasi, mencakup indikator-indikator seperti kepemimpinan, disiplin, keterlibatan karyawan, dan komunikasi. Variabel dependen, kepuasan kerja, mencakup kompensasi yang adil, penempatan kerja sesuai dengan keahlian, intensitas kerja, lingkungan kerja, peralatan yang mendukung, sikap kepemimpinan, dan pekerjaan yang monoton. Analisis melalui korelasi product moment Pearson menunjukkan adanya hubungan positif yang signifikan antara budaya organisasi dan kepuasan kerja, dengan koefisien korelasi sebesar 0,400, melebihi nilai kritis 0,304 pada tingkat signifikansi 5%. Koefisien determinasi menunjukkan bahwa budaya organisasi menyumbang 16% dari varians dalam kepuasan kerja, yang mengindikasikan bahwa faktor-faktor lain di luar cakupan penelitian ini mempengaruhi 84% sisanya. Temuan ini menggarisbawahi dampak penting dari budaya organisasi yang mendukung terhadap tingkat kepuasan karyawan dan menunjukkan bahwa meningkatkan budaya organisasi dapat meningkatkan moral dan produktivitas karyawan. Rekomendasi untuk penelitian selanjutnya adalah memperluas variabel-variabel yang ada dengan memasukkan kebijakan kompensasi, gaya kepemimpinan, dan kondisi ekonomi eksternal untuk memberikan pemahaman yang lebih komprehensif mengenai faktor-faktor yang mempengaruhi kepuasan kerja.
PENGARUH STRATEGI BISNIS, TRANSFER PRICING DAN KOMITE AUDIT TERHADAP TAX AVOIDANCE (STUDI EMPIRIS PADA PERUSAHAAN SEKTOR CONSUMER NON CYCLICALS YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE TAHUN 2018-2022)
Authors: Jauharah Dhiyah , Sanulika Aris
Published: May 2024

This research aims to analyze and provide empirical evidence of the influence of business strategy, transfer pricing and audit committees on tax avoidance. This type of research uses a quantitative approach, an associative method using secondary data, namely in the form of financial reports. The population in this research is non-cyclical consumer goods industry sector companies listed on the Indonesia Stock Exchange (BEI) in 2018-2022. The sampling technique in this research was purposive sampling and obtained research samples of 18 companies with a total of 90 research samples. The data analysis technique used in this research is panel data regression analysis using E-views software version 12. The results of this research show that business strategy, transfer pricing and the audit committee simultaneously influence tax avoidance. Partially, business strategy and transfer pricing have no effect on tax avoidance, while the audit committee has an effect on tax avoidance.
PENGARUH UKURAN PERUSAHAAN, CAPITAL INTENSITY DAN INVENTORY INTENSITY TERHADAP AGRESIVITAS PAJAK (STUDI EMPIRIS PADA PERUSAHAAN ENERGY YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2017-2022)
Authors: Anggraeni Nur Trilap , Fitriyana Fina
Published: May 2024

This research aims to determine the influence of company size, Capital Intensity, and Inventory Intensity on tax aggressiveness. The population of this research is Energy companies listed on the Indonesia Stock Exchange for the 2017-2022 period. The number of samples obtained using purposive sampling technique was 13 companies with observations for 6 years. The research method used is a quantitative method using secondary data. Meanwhile, the data collection technique used is the documentary collection technique, namely the use of data originating from existing documents. This documentary method is carried out by collecting annual reports, financial reports and other necessary data. The results of this research show that company size, Capital Intensity, and Inventory Intensity simultaneously influence tax aggressiveness, and partially company size, Capital Intensity, and InventoryIntensity do not influence tax aggressiveness.
PENGARUH TAX PLANNING, KEBIJAKAN DIVIDEN DAN KEBIJAKAN HUTANG TERHADAP NILAI PERUSAHAAN SEKTOR PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA (BEI) TAHUN 2018-2022
Authors: Marisa Nuraeni Siti
Published: May 2024

This study aims to determine the influenceof Tax Planning, Dividend Policy and debt policy on company value in property and real estate sector companies listed on the Indonesia Stock Exchange (BEI) in 2018-2022. This type of research is quantitative secondary data obtained from the Indonesia Stock Exchange (BEI) and the website of each company. The analysis technique used in the research used purposive sampling, with a sample size of 40 data from 8 companies with observations for 5 years 2018-2022. The results of this research show that Tax Planning, dividen policy and debt policy simultaneously have an effect on company value, and tax planning dividend policy partially do not have a effect on company value while debt policy partially has a significant effect on company value
PENGARUH REPUTASI KAP DAN OPINI AUDIT TAHUN SEBELUMNYA TERHADAP OPINI AUDIT GOING CONCERN DENGAN FINANCIAL DISTRESS SEBAGAI MODERASI (STUDI EMPIRIS DILAKUKAN PADA PERUSAHAAN SEKTOR PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2018-2022)
Authors: Bartinius Putri Pelecia , Purwasih Desy
Published: May 2024

This study aims to analyze and provide empirical evidence of the influence of KAP reputation and previous year's audit opinion on going concern audit opinion with financial distress as a moderating variable. The type of research used is a quantitative approach with associative methods. The population in this research are property and real estate companies listed on the Indonesia Stock Exchange (BEI) in 2018-2022. The sampling technique in this research was purposive sampling and obtained research samples of 34 companies with observations for 5 years, a total of 170 research samples were obtained. The data analysis technique used is logistic regression using E-views version 9 software. Based on the results of the analysis, it is known that the KAP's reputation and the previous year's audit opinion simultaneously influence the going concern audit opinion. Partially, KAP's reputation has no effect on going concern audit opinion, while the previous year's audit opinion has an effect on going concern audit opinion. The results of logistic regression analysis (MRA) show that financial distress cannot moderate KAP reputation and the previous year's audit opinion on going concern audit opinion.
Faktor-Faktor Yang Mempengaruhi Corporate Social Responsibility Pada Perusahaan Property dan Real Estate Yang Terdaftar Di Bursa Efek Iindonesia Tahun 2018-2022
Authors: Febrianti Pepti , Mikial Msy , Armereo Crystha
Published: May 2024

This research aims to determine the factors that influence corporate social responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022. This research uses a quantitative type of research with a sampling technique using a purposive sampling method and a data collection technique using documentation data taken from the Indonesian Stock Exchange. Data were analyzed using descriptive statistical tests, normality tests, classical assumption tests, multiple linear regression tests, hypothesis tests and coefficient of determination tests with the help of SPSS. The results of this research show that simultaneously tax aggressiveness and liquidity have an effect on corporate social responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022, then partially tax aggressiveness has no effect on Corporate Social Responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022, while liquidity influences Corporate Social Responsibility in property and real estate companies listed on the Indonesian Stock Exchange in 2018-2022.