bluuebunny/crossref_metadata_2025 huggingface dataset:
THE INFLUENCE OF FAMILY SUPPORT AND SELF-ADJUSTMENT ON MOTIVATION TO RECOVER IN PRISONERS OF NARCOTICS CASES IN CLASS IIA PURWOKERTO CORRECTIONAL INSTITUTION
Authors: Pratidina Adhi Gineung , Anwar Umar
Published: September 2024

This study aims to analyze the influence of family support and self-adjustment on the motivation to recover among narcotics prisoners at the Class IIA Correctional Facility in Purwokerto. Family support plays a role in providing emotional and material encouragement that increases the prisoners' hope, while self-adjustment within the prison environment helps them cope with existing pressures, thereby enhancing their motivation to participate in rehabilitation programs. This research uses a quantitative method with a survey approach, collecting data through questionnaires distributed to 100 prisoners. The data analysis technique employed is multiple regression to determine the influence of each independent variable on recovery motivation. The analysis results show that family support and self-adjustment significantly influence prisoners' motivation to recover, with family support having a greater impact than self-adjustment. Emotional support from family makes prisoners feel valued and optimistic, while self-adjustment enables them to better face the challenges within the prison environment. Based on these findings, it is recommended that rehabilitation programs in correctional facilities involve the prisoners' families more and enhance programs that support prisoners' adjustment to the prison environment. In conclusion, family support and self-adjustment are important factors contributing to the motivation of prisoners to recover from narcotics addiction.
THE RELATIONSHIP BETWEEN SELF-COMPASSION AND FAMILY SUPPORT WITH STRESS OF INMATES IN CORRECTIONAL INSTITUTIONS CLASS II A YOGYAKARTA
Authors: Zannara Dicky Ilham , Hamzah Imaduddin
Published: September 2024

This study aims to analyze the relationship between self-compassion and family support on the stress levels of inmates at the Class II Correctional Facility in Yogyakarta. Specifically, the research examines the impact of each variable as well as the interaction between self-compassion and family support in reducing stress. The research method employed is a quantitative approach with a correlational design. The sample consists of 150 inmates selected through purposive sampling. The instruments used include the Self-Compassion Scale, Family Support Scale, and Perceived Stress Scale (PSS). Data were analyzed using Pearson correlation tests and multiple regression to examine the relationships among the variables. The results indicate that self-compassion and family support have significant negative correlations with the stress levels of inmates. Self-compassion significantly reduces stress, whereas inmates with higher levels of self-compassion tend to experience lower stress. Similarly, family support proves to play an essential role in decreasing inmate stress. Furthermore, the interaction between self-compassion and family support shows that the combination of both has a greater impact on reducing stress levels. In conclusion, both self-compassion and family support significantly contribute to lowering the stress of inmates. Therefore, rehabilitation programs in correctional facilities should incorporate aspects of self-compassion development and strengthen family involvement to support the mental well-being of inmates.
Influence of Mother Tongue on English Pronunciation: A Contrastive Analysis of Bogghom and English Phonemes
Authors: Onwochei Modupe Olubunmi , Bako Agnes
Published: September 2024

Speakers of English as a second language often transfer their native language sound systems in the pronunciation of English. This is more noticeable with semi-educated speakers of English. Using phonological structure in generative grammar under contrastive analysis theory, this study contrasted features of English segmental phonemes with those of Bogghom, a language spoken in Gar, Kanam Local Government Area, Plateau State, Nigeria. The aim is to examine the extent of their differences/similarities, which present a cross-linguistic influence on English pronunciation. Twenty Bogghom speakers of English were selected. The respondents were given an excerpt with targeted phonemes to read; the speeches were recorded, translated, and analysed. Results showed the existence of phonemic and phonotactic disparities and similarities between the sound systems of the two languages. Differences in both languages' phoneme systems account for a high percentage of difficulties, resulting in 92% mispronunciation of English words. This implies that Bogghom speakers of English face challenges in their spoken English as a result of poor exposure to English phonemes. Phonemic/phonotactic similarities, on the other hand, enhanced better pronunciation. This research supports the claim that phonological disparities between two languages may impede effective communication. Thus, Bogghom bilinguals should make a deliberate effort to acquaint themselves with the English phonemes through self-drill and other academic means.
From Rags to Riches: A Symbolic Depiction of Jane’s Journeys to Self-Discovery in Charlotte Bronte’s Jane Eyre
Authors: Alassane SEKONGO Ouana
Published: September 2024

This paper addresses Jane’s quest for a new identity in Victorian patriarchal culture as portrayed in Charlotte Brontë's Jane Eyre. Going on a pilgrimage to self-discovery, Jane challenges the societal norms of the time and changes her social status through strong subversive acts. Though Victorian women could make few choices as far as their living conditions were concerned, it is seen that Jane’s symbolic journeys in this novel help her overthrow these social constraints and create a brighter future for herself, especially thanks to the education and job opportunities she benefits from along the process to her self-realisation at the time. Relying on Judith Butler’s gender performativity theory, this study demonstrates how Jane significantly acts in the novel and takes charge of her destiny against societal expectations of the time. In addition to the aforementioned theoretical perspective, textual analysis also served as a method used to select salient passages from the novel in order to illustrate the heroine Jane’s journeys to self-discovery in her patriarchal society. The study finally revealed that Jane has created a new personality thanks to her significant travels undertaken in quest for a better life. It has also been found that Jane has gained both financial and emotional security through her pilgrimage to self-fulfilment in the gender-biased society in which she lives.
Cet article aborde la quête de Jane pour une identité dans la culture patriarcale victorienne telle que décrite dans Jane Eyre de Charlotte Brontë. Partant en pèlerinage à la découverte de soi, Jane remet en question les normes sociétales de l’époque et change son statut social à travers des actes forts et subversifs. Bien que les femmes aient pu faire peu de choix en ce qui concerne leurs conditions de vie, on voit que les voyages symboliques de Jane dans ce roman l’aident à renverser ces contraintes sociales et à se créer un avenir meilleur notamment grâce à l’éducation et aux opportunités d’emploi dont elle bénéficie jusqu’à sa réalisation de soi à cette époque. En s’appuyant sur la théorie de la performativité de genre de Judith Butler, cette étude démontre comment Jane agit de manière significative dans le roman et prend en main son destin à l’encontre des attentes sociétales de l’époque. En plus de la perspective théorique susmentionnée, l’analyse textuelle a également servi de méthode pour sélectionner des passages saillants du roman afin d’illustrer le pèlerinage de Jane vers la découverte de soi dans sa société patriarcale. L’étude a finalement révélé que Jane s’est créée une nouvelle personnalité grâce à ses nombreux voyages entrepris en quête d’une vie meilleure. Il a également été découvert que Jane a acquis une sécurité financière et émotionnelle grâce à son pèlerinage pour son épanouissement personnel dans la société sexiste dans laquelle elle vit.
A Semantic Analysis of Discourse Representations of ASUU-FGN Impasse in Nigerian Newspapers
Authors: Ogundeji Awoniyi Olalekan , Uduk Happiness
Published: September 2024

This study provided a semantic analysis of discourse representations of the ASUU-FGN impasse in Nigerian newspapers. It indicated the semantic tools that the Nigerian newspapers explored to confer discourse representations on ASUU and FGN in Nigeria. The data for the study were collected from five Nigerian Newspapers: Leadership, Punch, The Guardian, The Nation and Vanguard. The researcher selected one hundred published articles about the ASUU-FGN impasse. The researcher purposively sampled one hundred and fifty data from the one hundred published articles for the analysis, using Halliday and Hasan's (1976) Cohesion, an Aspect of Systemic Functional Linguistic Theory. The study revealed that ASUU and FGN were represented with semantic tools such as reference, substitution, conjunction, reiteration, and collocation. ASUU was represented as pedophile (Leadership), dissident (Vanguard), opposer (Punch), advocate (Punch), warner (The Guardian), overworker (Punch), sensitiser (Punch), mobiliser (Punch), threatener (Leadership), and protesters (Punch) while FGN was represented as dictator (Vanguard), nonentity (The Guardian), abandoner, (The Guardian), deceiver (Vanguard), imposer (Punch), oppressor (Vanguard), renegade (Punch), punisher (Vanguard), ensurer (The Guardian), failure (The Nation), destroyer (The Guardian), and persuader (The Guardian). The study concluded that should the parties do the needful within their power, the negative representations of their images will be averted. The study, therefore, recommended that much language research exploring linguistic theories be conducted on the ASUU-FGN impasse in order to find lasting solutions to the acrimony.
The Walking Qur’an and its Contribution to Historical Perspectives and History of Islam in Africa
Authors: Abdul Rahman Alhassan
Published: September 2024

This paper explores the contribution of the Walking Qur’an…[1] by Rudolf Ware III to historical perspectives and studies of the history of Islam in Africa as drawn of wisdom from an intellectual, historical, and religious perspective as his methodology beautifully tries to explain the religion and its roots and differences. The author, through an ethnographic approach, reaches the bottom of what it means to be studying in Qur'an schools in West Africa and how these taalibes (students of knowledge) were an embodiment of Islamic knowledge and were propelled into becoming Walking Qur'an. The author primarily examined the Qur’an schools in Senegambia, a region in present day Mali in West Africa, to assert the importance of the rituals associated with the process of acquiring knowledge of the Qur’an. He also showed how the schools became a driving force to resist European enslavement of Muslim clerics and their students in the region and beyond. As a result, this paper argues that the book epitomizes both cultural and postcolonial historical perspectives in helping us understand the historiography of Islam in West Africa.
 
[1]. R. T. Ware III. The Walking Qur'an: Islamic Education, Embodied Knowledge, and History in West Africa. UNC Press Books, 2014.
Advanced Predictive Modeling for Peanut Production Estimation in Mozambique: Addressing Food Security Challenges through ARIMA and LSTM Approaches Aligned with SDG 2
Authors:   Higher Institute of Accounting and Auditing of Mozambique, Mozambique, Mahaluca Filipe , Carsane Faizal ,   Saint Thomas University of Mozambique, Mozambique, Vilanculos Alfeu ,   Eduardo Mondlane University, Mozambique
Published: September 2024

This study investigates the application of advanced predictive modeling techniques, specifically ARIMA models and LSTM neural networks, to estimate peanut production in Mozambique from 1961 to 2022, with projections extending to 2030. The research aims to provide accurate forecasts that are essential for addressing food security challenges, in alignment with Sustainable Development Goal 2 (SDG 2). The ARIMA models were calibrated using data from 1961 to 2009 and validated with actual production data from 2010 to 2020. Meanwhile, the LSTM model was trained on data from 1961 to 2013 and evaluated with data from 2014 to 2020. The analysis highlighted the relative stability of peanut production in Mozambique, alongside moderate variability, indicating the sector’s susceptibility to external factors such as climate change and agricultural practices. The ARIMA (1,1,1) model was identified as the most robust among the ARIMA models, effectively capturing temporal dependencies and smoothing abrupt fluctuations. However, the LSTM model’s ability to model nonlinear sequences and long-term dependencies resulted in significantly more accurate forecasts, with a mean absolute percentage error (MAPE) much lower than that of the ARIMA models. This study underscores the superiority of LSTM neural networks over ARIMA models for forecasting peanut production in Mozambique, demonstrating their effectiveness in capturing complex temporal patterns and generating more precise predictions. The projections indicate relatively stable production, albeit with a slight declining trend by 2030. These findings highlight the importance of investing in advanced agricultural technologies and climate change mitigation strategies to ensure the resilience of agricultural production in the country. In summary, the adoption of more sophisticated modeling approaches, such as LSTM, is crucial for addressing food security challenges in Mozambique, directly contributing to the achievement of SDG 2.
Morphological Changes in Pyramidal Neurons of Frontal Cortex of the Rat`s Brain During Experimental Myocardial Ischemia
Authors: MV Vasilevich , MN Khodosovsky , EI Bon , NYe Maksimovich , EV Sinkevich
Published: September 2024

Objective: To analyze changes in morphological characteristics of rat frontal cortex neurons during myocardial ischemia. Methodology: Experiments were performed on 12 male non-pedigreed white rats with an initial weight of 240±20 g. Myocardial ischemia in white mongrel rats was modeled by isoprenaline administration. The material was sampled 24 hours after the last injection of the drug. Results: Experimental myocardial ischemia was accompanied by a slight decrease in neuronal size and pericarion deformation. The number of hyperchromic wrinkled neurons increased. Wrinkled neurons constituted the majority of cells in the studied cortex section. Conclusion: During experimental myocardial ischemia, parietal cortex neurons decreased in size by 3.3% compared to control (p<0.05), the shape of neurons slightly changed - they became more elongated (by 6.4%) (p<0.05), while the form factor decreased by 5.5% (p<0.05) compared to control. The number of normochromic neurons decreased by 8% (p<0.05), while the number of hyperchromic neurons increased 2-fold compared to controls. Hyperchromic shriveled neurons appeared, their number amounted to 4.5% of the number of all neurons.
Comparative Assessment of Frustration Discomfort Tolerance of Elderly and Young People
Authors:   Independent Social Researcher, Kozhikode, Kerala, India, Chandran K Madhava , B Nair Ajith ,   Former Employee, Unilever, Saudi Arabia, K Sasidharan ,   Psychologist, Kozhikode, India
Published: September 2024

Objective: To assess the frustration discomfort tolerance of elderly people and young people. Methodology: The study was carried out among 100 young people aged less than 40 years and 100 elderly people aged more than 60 years in Kerala State, India using a questionnaire containing the measure of frustration discomfort tolerance and the strength with which they hold the beliefs included in it. The data was analysed as proportion, score and through statistical test. Results: Young people have comparatively more tolerance for frustration discomfort beliefs than elderly people, with youngsters having a lower and statistically significant mean frustration discomfort belief score than elderly people. Beliefs related to the demanding nature of jobs of youngsters such as - cannot stand being prevented from achieving one’s full potential, cannot bear the frustration of not achieving one’s goal, cannot tolerate lowering one’s standards even when it would be useful to do so etc. are held more strongly by young people than elders. However, beliefs such as - requiring the easiest way around a problem, must be absolutely free of disturbing feelings quickly, cannot stand others acting against one’s wishes etc., which cannot be expected much from youngsters, considering their competitive and demanding nature of jobs are held strongly by less number of them than elders, who may be mostly leading a restful life. Conclusion: The demanding nature of jobs of young people, who get accustomed to handling unfavourable situations more than elderly people, who mostly lead a restful life possibly explain the outcomes of the study. Such studies will be useful for devising measures to overcome frustration and reduce mental disorders and treatment.
Shaping Tomorrow: Student Teachers’ Insights into Decolonizing the Primary Curriculum and the significance of ITE and the Humanities
Authors: Hughes Dr Sioned Vaughan
Published: September 2024

This study engages with the perspectives of 239 student teachers enrolled in teacher education programmes across diverse educational institutions in south-west Wales. The sample, diverse in age, gender, and geographical location, offers a rich array of viewpoints on decolonizing the curriculum and the roles of history, geography, and Religious Education (RE). The findings reveal a strong commitment to inclusivity, diverse perspectives, and critical engagement among the participants. While acknowledging the transformative potential of Initial Teacher Education (ITE), concerns within a minority highlighted the need for targeted interventions. This study underscores the high value placed on the contributions of history, geography, and RE, with recommendations for ongoing professional development and curricular innovation. Moving forward, a comprehensive approach is advocated, involving transparent communication, community engagement, and continuous research to ensure a transformative and inclusive educational landscape.
Mapping the Terrain of Whiteness in Education Policy: A Scoping Literature Review
Authors: Piontaka Rachel , Zajiceka Anna
Published: September 2024

Since 2021, although often ill-defined and used as a tool of inflammatory rhetoric, critical race theory, white privilege, and/or intersectionality have been defined as “divisive concepts.”Several states introduced and/or implemented anti-divisive concepts or anti-DEI educational policies. Embedded in these policies are normative whiteness ideologies. This scoping review of 39 articles examines the use of critical whiteness lenses in state and federal education policy analyses. While most articles examine affirmative action and race-conscious admissions policies, others focus on anti-divisive concepts and related curriculum legislation. The articles note that whiteness as property, emotionalities of whiteness, and manipulated discourse are the primary ways in which whiteness is embedded and reproduced in educational policies. This study provides valuable insight into the reproduction of whiteness in education policy and, in so doing, highlights knowledge gaps to be addressed through future scholarship.
Cultivating State Capacity to Build Our Nation’s Career Readiness Infrastructure: Leveraging Federal Support
Authors: V. S. H Solberg , C Park , M Temurnikar , L Esquivel , H Donnelly , M Blake
Published: September 2024

This study analyzes the language of five key federal legislative acts (ESSA, Perkins, HEA, YWRA, and WIOA) to identify opportunities to leverage federal support and resources more effectively in strengthening career readiness initiatives. Using Individualized Career Plan (ICP) as a framework, a two-step data analysis process combining thematic analysis and artificial intelligence was employed to examine the legislative language. Our findings indicate that while all of the legislative acts share common goals of promoting the future workforce, notable discrepancies exist in areas of focus and the extent to which they fund activities centered around comprehensive career advising and individualized career planning. The results indicate that WIOA provides the most detailed guidance for the seven components of quality ICPs and therefore can be used as model policy language for the other legislative acts. The model language provides insights and recommendations for policymakers to consider when making legislative amendments.
Consumer Protection in a Regulatory Environment
Authors: Shannon John H. , Lozada Hector R. , Hunter. Jr. Richard J.
Published: September 2024

The credit industry in the United States has been the focus of attention as creditors balance risks inherent in granting credit with those of consumer-borrowers who wish to procure goods and services through legitimate credit arrangements. Congress has intervened to regulate and police certain industries and institutions involved in providing Americans with necessary credit. This paper considers consumer protections from both an industry and consumer perspective by examining major statutes enacted by Congress and the regulations adopted by the Federal Trade Commission and the Consumer Financial Protection Board.*
Digital Reflective Portfolio use in the Training of Future Mathematics Teachers as a Contribute to Formative Assessment and Deepening Didactic Knowledge for Teaching Practices in Students’ Classrooms
Authors: Henriques Ana
Published: September 2024

The digital reflective portfolio is a prominent resource in innovative teaching practices in education, for convenient report of the students skills and their achievements of the learning process to obtain them. As teachers are not familiar with use of portfolio in mathematics school context, is essential to use it in the training of mathematics prospective teachers (PTs). The formative assessment with portfolio aims to providing methodological support their work in the classroom. This paper present the results of a qualitative and interpretative study focus on training experience of mathematics PTs from the 3rd cycle of basic and secondary education, whose aims is to understand the contribution of using the digital reflective portfolio in mathematics PTs training for their formative assessment and the mathematical and didactic knowledge to possible use in future practices. This study contribute to identifying the potential of their portfolio used for necessary encouragement and learning to professional development in future teaching practices.
The Role of Financial Transparency in Attracting FDI to Pakistan: An Investor's Perspective
Authors: Gardezi Muhammad Ali , Nawaz Faisal , Sheherayr Muhammad
Published: September 2024

This study examines the key factors influencing Foreign Direct Investment (FDI) in Pakistan, focusing on economic growth, job creation, political stability, financial transparency, and regulatory challenges. Data were collected from 130 company managers in Pakistan through a survey, analyzing their perceptions of the role of FDI in shaping investment decisions. The findings reveal that economic growth (Mean: 4.32) and job creation (Mean: 4.12) are viewed as the most significant benefits of FDI, while political stability (Mean: 4.20) and financial transparency (Mean: 4.61) play crucial roles in building investor confidence. However, corruption (Mean: 4.23) and regulatory gaps (Mean: 4.58) are major hindrances to achieving greater financial transparency and attracting more FDI. The study compares these findings with international research, underscoring the universal importance of transparent financial reporting, stable political environments, and investor-friendly policies. The study concludes that addressing corruption issues, improving regulatory frameworks, and enhancing financial transparency are essential for Pakistan to maximize its FDI potential and support long-term economic growth.
The Rising of Moon on Political Sight: A Study of Benazir Bhutto
Authors: Basit Solangi Abdul , Ali Imran
Published: September 2024

Benazir Bhutto was not only the first female prime minister of Pakistan but also the first lady to rule the Muslim world. She predominately rule the country in two different occasions. Her time being a prime minister saw many ups and downs. She stood affirm in order to promote democracy and democratic values in Pakistan. For this she was known as champion of democracy. She explicitly stated that “Democracy is best revenge”. Observing the hanging of his father by a military dictator, she bravely fought for democracy and for political stability of country. During her time at Oxford University she made several declamation in advocating democracy. Being a women she worked to empower women of her country. This research tend to find the political leadership of Benazir Bhutto and her role to empower women of her country. The study use historical context in order to determine her leadership role and also the role in empowering women.
Examining how Gender Influences Language Styles and Communication Patterns in Various Social Contexts
Authors: Nawaz Mazhar , Hayat Muhammad Haris , Mir Shahid Hussain , Hameed Rashid
Published: September 2024

This study investigates the influence of gender on communication styles and dynamics through a thematic analysis of interviews conducted with diverse participants. Employing a qualitative methodology, the research identifies key themes such as Adaptation Strategies, Navigating Power Dynamics, Gender Norms, Intersectionality, and Emotional Expression. Findings reveal that individuals exhibit flexibility in their communication, often adopting softer tones and employing hesitation markers to foster connections and navigate social interactions. Notably, power dynamics manifest through interruptions, predominantly by male participants, which assert dominance and marginalize women's contributions. The study further explores how societal expectations shape communication behaviors, illustrating the constraints imposed by gender stereotypes. Intersectionality emerges as a critical factor, demonstrating that race and class significantly impact communication strategies. The role of vulnerability and emotional expression is highlighted, indicating a tension between authenticity and societal expectations. Overall, this analysis underscores the complexities of gendered communication, suggesting the need for a nuanced understanding of how various identities intersect in shaping communicative practices.
Exploring the Impact of Teachers’ and Students’ Emotional Intelligence on Classroom Dynamics, Behavior Management, and Learning Outcomes
Authors: Qazi Sadia , Hussain Iftikhar , Nizamani Murk , Nizamani Mehak
Published: September 2024

This study examines the influence of emotional intelligence (EI) on classroom behavior management, peer interactions, and academic outcomes among secondary school students and teachers. Using a sample of 150 teachers and 500 students across five high schools in Tanzania, the research employed a quantitative approach, integrating EI assessments with classroom observations. Statistical analysis revealed that teachers with higher EI scores (M = 82.5, SD = 7.2) significantly correlated with better classroom behavior management (r = 0.60, p < 0.01) and enhanced student engagement (r = 0.55, p < 0.01). These classrooms also demonstrated a 10% increase in student academic performance compared to those led by lower-EI teachers (M = 73.8, SD = 8.4). Additionally, students with higher EI scores (M = 76.4, SD = 8.7) exhibited stronger peer relationships and higher motivation to learn (r = 0.52, p < 0.01). These findings highlight the vital role of EI in improving educational outcomes and suggest the need for emotional intelligence training in both teachers and students to foster more positive and effective learning environments.
The Psychological Benefits of Mindfulness Meditation on Emotional Regulation
Authors: Mursaleen Mehwish , Khan Benish , Sohail Shehzeen , Batool Zohra , Khan Asma , Saeed Hira
Published: September 2024

This research paper investigates the mental blessings of mindfulness meditation on emotional law, exploring its cognitive and neural mechanisms. Emotional law is essential for intellectual fitness, influencing people' potential to manage strain and navigate social interactions. This studies paper makes use of a randomized controlled trial involving one hundred fifty numerous individuals, comparing a mindfulness meditation organization to a manipulate organization engaged in rest activities over eight weeks. Pre- and post-intervention exams blanketed self-record measures of emotional law, mindfulness, and neuroimaging to study adjustments in mind interest. Results are tested big improvements in emotional regulation for the mindfulness organization, mediated through greater attention control and self-awareness, along with observable neural adjustments inclusive of elevated prefrontal cortex activation and decreased amygdala reactivity. This study contributes to the existing literature by using supplying empirical evidence assisting mindfulness meditation as an effective intervention for improving emotional regulation and highlights its implications for therapeutic practices, public health techniques, and academic settings. The findings underscore the importance of mindfulness as a device for selling mental properly-being and resilience, paving the manner for destiny research on its lengthy-term results and programs throughout numerous populations. In quick, this looks at gives a comprehensive information of the way mindfulness meditation influences emotional regulation, contributing to the developing frame of proof on its psychological benefits.
Challenges and Strategies in Teaching English in Multilingual Classrooms
Authors: Safeer Nadia , Hussain Ibrar , Azhar Behjat , Shaikh Muhammad Hassan , Jakhrani Muhammad Haroon
Published: September 2024

This research paper explores the challenges and strategies associated with coaching English in multilingual classrooms. The study objectives are to pick out the important thing boundaries educators face, which include language proficiency disparities, cultural differences, and numerous gaining knowledge of patterns, and to study the effect of these challenges on scholar engagement and educational overall performance. Utilizing a blended-techniques approach, facts have been collected via surveys and classroom observations related to English language instructors and students from diverse academic settings. The findings display big demanding situations that hinder effective English language practice, whilst also highlighting a hit technique inclusive of culturally responsive coaching, differentiated practice, and collaborative getting to know. This research paper underscores the need of equipping educators with effective tools and insights to navigate the complexities of multilingual schooling. Future studies guidelines are also recommended to in addition inspect the dynamic nature of multilingual lecture rooms and the function of era and community involvement in improving English language mastering.
Peercite Journal of Womens Leadership
Authors: Sowadaski Ronald
Published: September 2024

The cause of this examine became to study whether or not there are variations in gender-related pay equity in the public quarter, amongst states, and among industries inside the United States. The study changed into carried out with archival statistics from the American Community Survey. Results of one-manner ANOVAs showed a substantial distinction in gender-related pay equity a number of the 51 states (which include D.C.), F (50, 1740) = 1.69, p = 0.019 and most of the 5 foremost industries, F (4, 1735) = 17.00, p < 0.01. These empirical findings offer a basis for the improvement of rules needed to deal with pay inequity.
Аристофан комедии, Джованни Боккаччо «Тесеида» - хронологическое исследование и датировка.
Authors: Volkov A.S.
Published: September 2024

Книга посвящена хронологическому исследованию и датировке комедий Аристофана и поэмы «Тесеида» Джованни Боккаччо. Из книги читатель узнает главные тайны исследованных литературных произведений, а именно даты их написания, которые отличаются от датировок создания, официально принятых исторической наукой. В книге, на основе полученных датировок этих произведений, уточнены даты жизни их авторов. Полученные датировки позволили уточнить годы жизни других знаменитых личностей Древней Греции и Рима, которые в жизни или творчестве пересекались с Аристофаном и Джованни Боккаччо, а также время проведения военных действий и других значимых исторических событий, хронологически связанных с жизнью комедиографа и поэта.
Исторически-хронологическое исследование каждой комедии Аристофана и поэмы Джованни Боккаччо проводились с учётом особенностей Древнегреческой и Древнеримской мифологий и религий, мифологии флоры и фауны, Зодиакальной мифологии, а также законов старинной астрономической символики. В качестве основного метода исследования и датировки этих литературных произведений был использован, разработанный автором, для хронологического исследования поэм Гомера и трагедий Древнегреческих драматургов специальный метод астрономической хронологии: «Метод выявления, расшифровки и астрономического датирования текстовых Зодиаков, записанных в прозаической или поэтической форме». В качестве примера применения это-го метода можно привести поэмы «Илиада» и «Одиссея» Гомера, «Теогония» Гесиода, «Энеида» Вергилия, «Метаморфозы» Овидия, «Триумфы» Петрарки, «Фиваида» Стация, а также трагедии Эсхила, Софокла и Еврипида, ранее исследованные автором книги. На июль 2022 года по этой методике получено более пятидесяти датировок произведений литературы Древнего мира и эпохи Возрождения.
Эта книга не требует от читателя специальных, академических знаний по «Истории древнего мира и эпохи Возрождения», «Научной хронологии» или «Древней и древнейшей литературе». Книга предназначена всем не равнодушным к истории читателям, интересующимся современными естественнонаучными методами датирования древних памятников истории и культуры, прикладной астрономией и древней астральной символикой в искусстве и литературе. Написанием этой книги автор хочет вернуть читателей к более глубокому, изучению произведений драматургов древних и ранних эпох человечества. Для того чтобы каждый из читателей, в момент погружения в мир старинных мифов, легенд и сказаний осознал, что, несмотря на громадное количество проведённых исторических исследований, и написанных научных трудов, о художественных произведениях классиков древности, в них осталось еще много неразгаданных тайн связанных, как с самими произведениями, с их авторами, а также с описанными в них событиями.
Euripides - dating of dramatic works using the method of astronomical chronology. In 2 volumes (T.2)
Authors: Volkov A.S.
Published: September 2024

Книга посвящена историческому исследованию и хронологической датировке драматических произведений Еврипида классика литературы Древней Греции. Из книги читатель узнает главные тайны исследованных произведений, а именно даты их написания, которые отличаются от датировок создания, официально принятых исторической наукой, этих литературных творений древности. В книге, на основе полученных датировок драматических произведений, уточнены даты жизни их автора. Полученные датировки так же позволили уточнить годы жизни других знаменитых личностей Древней Греции, которые в жизни или творчестве пересекались с Еврипидом, а также время проведения военных действий, исторически связанных с жизнью драматурга.
Историческое исследование каждого драматического произведения Еврипида проводилось с учётом особенностей Древнегреческой мифологии и религии, мифологии флоры и фауны, зодиакальной мифологии, а также законов старинной астрономической символики. В качестве основного метода исследования и датировки этих литературных произведений был использован, разработанный автором, для хронологического исследования поэм Гомера и трагедий Древнегреческих драматургов специальный метод астрономической хронологии: «Метод выявления, расшифровки и астрономического датирования текстовых Зодиаков, записанных в прозаической или поэтической форме». В качестве примера применения этого метода к литературным произведениям можно привести поэмы «Илиада» и «Одиссея» Гомера, «Теогония» Гесиода, «Энеида» Вергилия, «Метаморфозы» Овидия, «Триумфы» Петрарки, а также трагедии Эсхила и Софокла, ранее исследованные автором книги. На февраль 2022 года по этой методике получено более пятидесяти датировок произведений древней литературы.
Эта книга не требует от читателя специальных, академических знаний по «Истории древнего мира», «Научной хронологии» или «Древней и древнейшей литературе». Книга предназначена всем не равнодушным к истории читателям, интересующимся современными естественнонаучными методами датирования древних памятников истории и культуры, прикладной астрономией и древней астральной символикой в искусстве и литературе. Написанием этой книги автор хочет вернуть читателей к более глубокому, изучению произведений драматургов древних и ранних эпох человечества. Для того чтобы каждый из читателей, в момент погружения в мир старинных мифов, легенд и сказаний осознал, что, не-смотря на громадное количество проведённых исторических исследований, и написанных научных трудов, о художественных произведениях классиков древности, в них осталось еще много неразгаданных тайн связанных, как с самими произведениями, с их авторами, а также с описанными в них событиями.
The Effectiveness of Intensive Short-Term Dynamic Psychotherapy (ISTDP) on Self-Compassion and Defense Mechanisms in Individuals with Depression
Authors: Soufi Amlashi Rasa , Shomali Oskoei Arezoo , Mirzaei Khalil
Published: September 2024

Objective: The aim of the present study was to determine the effectiveness of Intensive Short-Term Dynamic Psychotherapy (ISTDP) on self-compassion and defense mechanisms in individuals with depression. Methods and Materials: The research method was quasi-experimental with a pretest-posttest-follow-up design and a control group. The statistical population of this study included all individuals with mild depression who referred to healthcare centers in districts four and six of Tehran during the spring and summer of 2023. Using convenience sampling and inclusion/exclusion criteria, 30 individuals were selected and randomly assigned to the intervention and control groups. Participants responded to the Self-Compassion Scale (Neff, 2003) and the Defense Style Questionnaire-40 (Andrews et al., 1993) for pretest, posttest, and follow-up assessments. After the implementation of ISTDP for the experimental group, the data were analyzed using repeated measures ANOVA. Findings: The results indicated that ISTDP increases self-compassion in individuals with depression. Moreover, ISTDP increases the use of mature defense mechanisms and decreases the use of immature and neurotic defense mechanisms in individuals with depression. Conclusion: In conclusion, Intensive Short-Term Dynamic Psychotherapy (ISTDP) effectively increases self-compassion and enhances the use of mature defense mechanisms while reducing the use of immature and neurotic defenses in individuals with depression. These findings suggest that ISTDP can be a valuable therapeutic approach for improving emotional regulation and reducing depressive symptoms through deeper emotional integration and resolution of unconscious conflicts.
A drill pipe counting method based on skeleton action recognition
Authors: Du Jingyi , Chen Haohao , Gao Rui
Published: September 2024

A drill pipe counting method based on human skeleton sequence recognition is proposed to address the issues of high workload, high environmental requirements, and large counting errors in existing drill pipe counting methods. Firstly, obtain human skeleton information through YOLOv7 and FastPose, and create a human skeleton dataset; Secondly, based on ST-GCN, an ML-ASTGNet action recognition network is designed, which captures more global contextual information through adaptive graph convolution (A-GCN) and improves the spatial modeling ability of the action recognition network; Introducing the Time Motion Excitation Module (TME), which utilizes the idea of time difference to characterize motion information, generates larger weights for frames with larger motion amplitudes to highlight sensitive features of motion, and designs a Multi Scale Multi Fine Granular Time Convolution (DM-TCN) to learn the final time feature information from different scales, improving the time modeling ability of action recognition networks. The experimental results show that the accuracy of ML-ASTGNet on the self built human skeleton dataset reaches 92.1%, which is 8.2% higher than ST-GCN and shows better action recognition performance. Finally, this method has achieved good counting performance in actual drill pipe counting tests with small counting errors.
Web Data Aggregation and the Application of Machine Learning in Data Analysis
Authors: Zhang Jiahao
Published: September 2024

Integration of web data aggregation techniques with machine learning has come out as a transformation in the field of data analysis.". This study would, therefore, exploit a mix of web scraping, API calls, and real-time data streaming to collect diverse data from high-traffic web platforms. Sophisticated machine learning models, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), this research correctly handles the complexities and challenges in handling such enormous volumes of unstructured data, which is characteristic of the internet but also embraces. The message the research delivers is pretty strong: using machine learning, it's possible to significantly enhance the efficiency and accuracy of the data analysis. The few main findings include: 1) In sentiment analysis, predicting user engagement, and 2) having statistical solid evidence showing consumer buying patterns. The findings thus prove that the practical benefits accrued from the use of advanced analytical models are helpful for drawing meaningful inferences from complex datasets over the web. The contribution that this research will make is clear: it will provide empirical evidence of how healthy methods such as machine learning techniques, when combined with methods of data aggregation, work. It will also substantially benefit industry practitioners toward improved decision-making processes and operational efficiencies. Such will mean that the research indicated wide potential academic and industrial applications of the methods and encouraged further work. This study does not advance the theoretical framework of data science but demonstrates the real-world applicability of its methodologies in the navigation and interpretation of large data landscapes of our time.
T-Learner Based on Machine Learning for Customer Conversion Prediction and Causal Effect Evaluation
Authors: Liu Zhenming , Yang Yan , Huang Xinyao
Published: September 2024

Increasing customer conversion rate is an important topic of concern for every business entity. Among them, promotions and offers are the most common ways to do so. Often, managers want to predict whether customers are likely to become repeat customers through their consumption behaviour and quantify the impact of coupon issuance or not on customer conversion rate to help them determine practical business strategies. In this paper, we focus on customer consumption data of commercial entities, and construct a repurchase prediction model based on three different machine learning algorithms, namely Random Forest, XGBoost and LightGBM, based on RFMA consumption behaviour characteristics. Meanwhile, using the repurchase prediction model combined with the T-learn evaluation method, we propose a quantitative indicator of AUUC for evaluating the impact of coupon issuance on customer conversion rate. The machine learning-based quantitative model for interpretable causal inference proposed in this paper has feasible guidance and value in helping decision makers adopt optimal business strategies.
Integration of Conditional Value-at-Risk (CVaR) in Multi-Objective Optimization
Authors: Luo Juandan
Published: September 2024

This paper explores the integration of Conditional Value-at-Risk (CVaR) into the field of Multi-Objective Optimization (MOO), offering insights into its mathematical basis, significance in risk assessment, and application in complex decision-making scenarios. It discusses the challenges of MOO, presents traditional solution methods, and examines the advantages and limitations of CVaR. The article highlights the flexibility of CVaR as an objective function, particularly in financial portfolio optimization, and discusses future research directions for enhancing its computational techniques, expanding application areas, and improving responsiveness to real-world dynamics.
Digital Economy, Urbanization and Labor Skill Structure: An Empirical Analysis Based on Provincial Panel Data
Authors: Liang Shuai , Luo Qinglan , Wei Zhixin
Published: September 2024

Based on provincial panel data from 2013-2021, this paper explores the relationship between digital economy, urbanization, and labor skill structure. By building a bi-directional fixed effect model and introducing interaction terms, the empirical findings show that digital economy has a significant positive promoting effect on the skill structure of the labor force, and urbanization plays a moderating role in it, and this promoting effect will be further enhanced with the improvement of urbanization. Accordingly, the following policy recommendations are put forward: First, strengthen the construction of digital economy and promote the development and application of digital technology. Second, promote urbanization and optimize the distribution of population and industries. Third, strengthen education and training to upgrade the skills of the workforce.
Research on the Coordination Mechanism of Fiscal and Monetary Regulation
Authors: Feng Zekai
Published: September 2024

This article deeply explores the coordination and cooperation mechanism between fiscal policy and monetary policy in modern economic management. From a painstaking analysis of local and foreign practices and theoretical frameworks of policy, one can see that in a complex economic environment, the effect of a single policy tool is often hard to achieve. Then, the effective coordination between fiscal and monetary policies becomes particularly important. Therefore, this paper first sorted out the basic theories of fiscal policy and monetary policy before going into the analysis of how the two policies are related to each other and how synergy is necessary during different economic cycles. It has been pointed out by the study that what accomplishes the policy coordination is division of functions and cooperation between the government and the central bank; that is to say, it is an institutional and informational mechanism problem in which both clear policy frameworks and information sharing mechanisms are supposed to be set up to ensure good implementation. Finally, specific recommendations on the paths to optimal coordination between fiscal and monetary policies lie in institutional design, improvement of transparency in policy conduct, and strengthening of cross-sectoral cooperation in view of economic stability and sustainable growth.
Exploring Sales Models for College Student Entrepreneurship Projects
Authors: Zhu Zhengxing
Published: September 2024

College students have become a significant force in the entrepreneurial wave, thanks to the widespread availability of higher education and the in-depth implementation of innovation and entrepreneurship policies. The selection and implementation of product sales strategies are crucial to the survival and development of college student entrepreneurship projects. This paper explores diversified sales strategies suitable for such projects, aiming to provide valuable references for similar enterprises.