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This article explores the introduction of the English language in high schools in Cameroon, focusing on the reception, challenges and prospects, with focus on students currently studying the subject in the high school. It examines the importance of English in a country operating official exoglossic bilingualism like Cameroon and the need for students to acquire proficiency in the language. The data is collected using a questionnaire and the sample comprise six hundred and eighty-one (681) upper sixth students from sixteen (16) schools drawn from the ten (10) regions in Cameroon. This research endeavour employs Krashen’s theory of Second Language Acquisition and Watson’s Behaviourism as frameworks of analysis. The study highlights the attitudes of students towards the subject and identifies the difficulties faced during the learning process. It also discusses the pedagogical implications of this introduction and provides recommendations for improvement.

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Over the years, shadow education, a supplement to the formal or classroom learning has considerably gain ground in both the developed and less developed countries. This form of education provides the most needed support especially to candidates preparing for competitive entrance examinations. Due to the inability of the public sector to accommodate all the graduates, competitive entrance examinations has been seen as the appropriate mechanism through which candidates can be meritoriously selected. The present study seeks to examine the impact of the effectiveness of preps groups in the training of candidates for entrance examinations into advanced schools in Cameroon. As such, the study is purely quantitative based on the deductive research design. A close ended questionnaire was administered to a sample of 515 participants randomly selected for the study. Two theories were used to discuss the results of the findings which are Hannan and Freeman Organisational ecology theory and Avery`s sustainable leadership theory. Statistical data analysis techniques, precisely the regression analysis was used to analyse the data collected from the field. Basing on the findings, it was revealed that the effectiveness of the preparatory groups is a positive and strong predictor of the training of candidates for entrance examinations into advanced schools in Cameroon since the model established a moderate and good fit. This implies that the success of candidates in entrance examinations in Cameroon largely depends on how effective the preps groups are in the training of these candidates.

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Factors that characterise the postmodern condition and society tend to make it difficult or even unnecessary for characters to obtain a stable sense of identity. Most of these factors require a sense of identity adaptable to the fast-changing and fragmented condition of the postmodern society. Characters who tend to shift their identities according to the changing conditions of their societies are considered to have protean identities. In Girl, Woman, Other, Bernardine Evaristo represents characters whose race, class, gender and sexual identities shift across contexts and over time. This paper examines the identity of the postmodern woman as a complex multifaceted subject and how this is depicted in Girl, Woman, Other. In the context of this study, I will focus on identity fluidity in relation to race, gender, sex and sexuality. These are some of the fundamental categories that constitute a subject. The postmodern literary woman’s identity construction seems to be open to multiple possibilities of the self. Textual analysis will be done through the lenses of postmodern feminism, especially the concepts developed by Judith Butler. This study revealed that in her attempt to adapt her sense of self to the diverse and fast-changing conditions of the postmodern society, the postmodern woman adopts a multifaceted and sometimes fragmented identity. Fluid and multiple identity construction processes become a liberating and empowering phenomenon for women. The characters who seek to define themselves do so in an attempt to gain some power over their lives or take control over their own experiences.

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The article titled "An Assessment of communities of Practice (CoPs) of Teacher Associations as a tool for English language teacher Professional Development" seeks to highlight the role of CoPs of teacher Associations in the professional development of English Language teaching practitioners. Quantitative data was retrieved through a questionnaire from Cameroonian English language teachers, most of who belong to the Cameroon English Language and Literature Teacher's Association (CAMELTA), affiliate of TESOL International Association and the International Association of Teachers of English as a Foreign Language (IATEFL), the two Associations adopted as case studies for this Article. Findings showed that art of building teacher Communities of practice is not really practiced by these teachers. It was Aldo realized that CoPs could greatly boost teacher interest in the profession, where the teacher, through professional development could focus on his or her area of expertise and passion. This strategic grouping, (CoPs) may cause the teachers to socially identify themselves with like- minded colleagues. This could go a long way in boosting interdisciplinary discourse exchanges, -CoPs, which is very important for professional development.

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The effect of mirage has a firm power to engross the state of mind of persons who support themselves with dreams with the ultimate hope to run away from despair, dreams of grandiose success to overcome his deplorably precarious daily life. This study examines warranty and illusion of African intellectual with the aim of overviewing Africa’s hated past, and a wandering present. From the Socio-political history, it teaches that Africa saw its freedom vanished when the hours of the slave trade rang at its door. The instability of most African states impetuses young African intellectuals to devastating despair. This situation, becomes more intense, and causes in young people disaffection with the environment in which they find themselves. In this current state of affairs, migration becomes an irreproachable dream in the minds of those who hope to succeed beyond their continent. This situation has led to a new form of slave trade involving self-enslavement or the sale of oneself, and the business of advertising Eldorado which is a new business among African youth. Findings from the texts understudy revealed that, presently, this process has become a media phenomenon, the world becomes frustrated when a neighbouring world approaches its so-called legal territory. Therefore, young Africans are bruised by humiliation since their contact with the Whites who have long objectified them and continue to perpetrate it in other forms by new methods very gentle to hurt, have today become the most vulnerable migrants. The precariousness of the continent drives these young minds to migrate to Europe or the Western world in general to exchange their strength for money.

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In recent years, the integration of artificial intelligence (AI) into stock trading has revolutionized risk assessment and management, offering sophisticated tools and methodologies to navigate the complexities of financial markets. This paper explores the role of AI in enhancing risk management practices within stock trading environments. It provides an overview of key AI technologies, including machine learning algorithms, neural networks, and reinforcement learning, and their applications in predicting market volatility, detecting anomalies, and optimizing portfolio management. Through detailed case studies, the paper examines real-world implementations of AI in trading platforms, highlighting both successful applications and notable challenges. Additionally, the paper addresses regulatory and ethical considerations related to the deployment of AI in financial markets, such as compliance with existing regulations and concerns about data privacy and market manipulation. Looking forward, the paper discusses emerging trends and potential advancements in AI that may further transform risk management strategies in stock trading. By synthesizing current research and practical insights, this study aims to provide a comprehensive understanding of how AI can be leveraged to mitigate risks and improve decision-making in stock trading.

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This study investigates the turn-taking patterns utilized by teachers and students in high school English classrooms, as well as between teachers themselves, with the objective of identifying the dominant patterns in these interactions. It aims to address the following research questions: What turn-taking patterns are employed in teacher-student and teacher-teacher conversations? Which patterns dominate each type of interaction? The study seeks to explore the turn-taking patterns used in classroom settings and within the broader school context, focusing on interactions between teachers and students and among teachers. The hypotheses proposed include the presence of seven distinct turn-taking patterns: greeting/greeting, check/clarification, question/answer, request/acceptance, Instruction/compliance, offer/acceptance or rejection, and leave-taking/leave-taking. It is further hypothesized that the question/answer pattern predominates in classroom interactions, while the check/clarification pattern is most common in teacher-teacher dialogues. Drawing on Schegloff’s "Conversation Analysis: Analyzing Talk in Interaction" (1978), this study adopts a qualitative and quantitative approach to analyze the turn-taking patterns in two types of interactions: those between a group of sixth preparatory high school students and their teacher, and those between two teachers from the same school. These interactions were selected to ensure a thorough examination of turn-taking dynamics without interruptions. The study relies on two recorded meetings for each type of data. The findings reveal that the question/answer pattern is the most frequently occurring in classroom interactions, predominantly initiated by the teacher, highlighting the significant power dynamics in the classroom. Conversely, the check/clarification pattern is the most prominent in teacher-teacher interactions, reflecting the more equal status between colleagues. This study contributes to the understanding of linguistic patterns in educational settings and provides insights into the dynamics of classroom and school communication.

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Green entrepreneurship keeps an appreciation on a prospering sector determined by the association of financial new development, environmental sustainability, and societal effect. This research discovers the different opportunities accessible inside this intriguing field, checking out at both theoretical plans and significant applications. By looking at the mysterious speculations of green entrepreneurship — like the Triple Bottom Line method and the chance of supportable revolution — the study gives a essential comprehension of how ecological and financial targets can be worked with. Furthermore, it dives into reasonable events of green initiatives in India, featuring useful commercial models and systems that discourse issues like waste management, renewable energy, and maintainable agriculture. Through setting focused assessments and social occasions with green corporate people, the checkup recognizes crucial drivers of accomplishment, challenges confronted, and policy thoughts. This intensive assessment includes the limit of green entrepreneurship to enhance to India's sustainable improvement objectives while offering critical snippets of statistics for accessories hoping to foster a greener economy.

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The rapid development of artificial intelligence (AI) strategies has unfolded new opportunities to revolutionize various fields, consisting of operations research (OR). This survey paper explores the mixing of AI in the OR manner (AI4OR) to beautify its effectiveness and efficiency throughout a couple of tiers, which include parameter generation, model formula, and version optimization. By providing a complete evaluate of the ultra-modern and examining the capacity of AI to convert OR, this paper ambitions to inspire similarly studies and innovation within the development of AI-stronger OR strategies and tools. The synergy between AI and OR is poised to drive big advancements and novel answers in a mess of domain names, in the long run leading to more powerful and green selection-making.

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Big data technology is being used to combine data, convert it into strategic and essential resources for business marketing management, and create and incorporate management processes; implementing a data-driven marketing mix strategy has emerged as a hotspot for study and has had a significant impact on conventional marketing theory, particularly marketing mix theory. This study analyses the revolutionary idea and implementation form of traditional marketing mix theory from a big data perspective. It also studies developing creative marketing mix pattern tactics against a big data backdrop.