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    602 research outputs found

    Dysphemism Strategies in President Buhari’s Arise TV Interview

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    This paper is an attempt to check the use of dysphemism in Political Discourse. It featured the functions and aim of dysphemism, and the role it plays in enabling political actors to hide under utterance to attack face of others. It tries to give reasons for the use of dysphemism as a impoliteness strategy that tends to be direct in effect. For the purpose of answering the research questions, President Buhari’s Arise TV interview of 10th July, 2021 was analyzed using Culpeper’s impoliteness strategies to identifying the use of dysphemism, its types and functions. The outcome of the analyses showed that dysphemism as used in Political Discourse is geared towards damaging tendencies as politicians attack the face of their opponents, diminish the target while maintaining and sustaining their ‘benefits’, and lastly, justify their action and reinforce their influence in social interactions

    Genre Structure and Writer Identity in EFL Students’ Application Letters

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    Writing for academic and professional purposes has been increasingly challenging for applicants as it requires a certain degree of proficiency to promote themselves as potential workers in the desired position. Considering the significance of English as the global lingua franca, there is an increasing need to ensure that formal writings, in different fields and contexts, adhere to the generic and linguistic standards necessary for effective written communication. This study presents an examination of genre features and rhetorical strategies of job application letters written by Tunisian Business students. More specifically, it intends to investigate how far novice non-native English candidates are able to successfully use the genre components and persuasive strategies of the target language. A corpus of 30 undergraduate job application letters was subject to move analysis, using top-down approach, basing on Khan and Tin’s (2012) model as an analytical framework. The results indicated that the participants showed different types of rhetorical patterns preferences used in various sequences and frequencies to articulate the same communicative purpose of the genre. The analysis revealed also that Addressing, Establishing credentials and Ending politely proved to be the most preponderant moves in the corpus.  Yet, although the majority of applicants have commonly attempted to use an appropriate schematic structure in writing their job application letters, most of them failed to prove any creativity in elaborating their unique characteristics and achievements.  The paper concludes with the possible linguistic and pedagogical implications of the study

    Russian-Ukrainian War and its Economic Implications on the Prices of Strategic Commodities

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    Russia–Ukraine war has increased systemic vulnerabilities of the global economy. Therefore, the purpose of this study is to identify the economic implications of the Russian-Ukrainian war (2022) on the global prices of strategic commodities. Strategic commodities were divided into three main types: energy commodities, food commodities, and mining commodities. According to World Bank reports, the monthly data of commodities prices from M05/2021 to M05/2022 has been used. In addition, a comparative analysis approach was used to compare the prices of commodities before and after the war. The study concluded that the Russian-Ukrainian war had a negative impact on the prices of energy commodities, especially crude oil, natural gas and coal. The results indicated that the Russian-Ukrainian war negatively affected the prices of food commodities such as wheat, maize and oil. The study found that some mining commodities such as aluminium, nickel and zinc were negatively affected by the war

    Total Quality as an Effective Tool for Achieving Customer Satisfaction, Patronage, Productivity Gains and Sustainability in Organizations

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    This study examines the influence of Total Quality Management (TQM) on customer satisfaction, patronage, productivity gains and sustainability in organizations. The study collects data from relevant materials through the application of library research design. The study found that managers didn’t pay the required attention on issues really happening in the organizations, despite the existence of improvement programs and principles. Hence, real time improvements with corrective measures are not present in the process of enhancing organizations’ overall quality. The study points out that lack of commitment from any particular group is a serious challenge to quality management. Especially, when this comes from the management who are in the control of the tasks, and it can be a major barrier to the successful implementation of TQM. Quality management programs have failed because they were not consistent and regularly. To achieve a holistic implementation of quality management requires a cultural change in the way tasks are conducted in organizations. However, the study recommends that managers should take corrective measures that would focus on the issues really happening in organizations. They should also consider total quality management tasks to be a continue process, rather than a periodic process. This demands for total cultural change in the way and manner activities are planned and executed in organizations

    A Lightweight Machine Learning-Based Email Spam Detection Model Using Word Frequency Pattern

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    This Spam emails have become a severe challenge that irritates and consumes recipients' time. On the one hand, existing spam detection techniques have low detection rates and cannot tolerate high-dimensional data. Moreover, due to the machine learning algorithm's effectiveness in identifying mail as solicited or unsolicited, their approaches have become common in spam detection systems. This paper proposes a lightweight machine learning-based spam detection model based on Random Forest (RF) algorithm. According to the empirical results, the proposed model achieved a 97% accuracy on the spambase dataset. Furthermore, the performance of the proposed model was evaluated using standard classification metrics such as Fscore, Recall, Precision, and Accuracy. The comparison of Our model with state-of-the-art works investigated in this paper showed the model performs better, with an improvement of 6% for all metrics

    Stability Analysis of a Sterile Insect Technique Model for Controlling False Codling Moth

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    Sterile insect techniques (SIT) are biological, non-polluting pest control methods used on farms. The release of false male codling moths (FCM) is used in this method to reduce the number of fertile female FCM in the farm population. In this study, a mathematical model that simulates the interaction between the susceptible host, the sterile male FCM population, and the wildFCM population is developed. The local and global stability analysis of the model is analysed and found to be asymptotically stable when Ro < 1. A threshold number of sterile FCM is determined above which the FCM control is effective. These theoretical results are reorganized in terms of possible strategies for the control of FCM and are numerically illustrated

    Mathematical Model for Malaria Disease Transmission

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    Malaria is one of the fatal diseases caused by plasmodium parasites and transmitted to humans through biting of the female of {\it Anopheles} mosquitoes. We proposed a deterministic mathematical model for simulating Malaria disease transmission between humans and mosquitoes. The basic reproduction number R0\mathcal{R}_{0} is determined by using the next-generation matrix approach. Stability conditions for the model equilibrium points with respect to R0\mathcal{R}_{0} derived and we show that the forward bifurcation occurred. When \mathcal{R}_{0} <1 or \mathcal{R}_{0} >1 the Malaria disease dies out or spreads, respectively. The sensitivity analysis for the basic reproduction number R0\mathcal{R}_{0} fulfilled locally and globally. The model simulation was found by using Runge--Kutta fourth order method in MATLAB. Furthermore, The effects of the important parameters were investigated, and the obtained results were presented in graphical forms. Also, we obtained that the simulation results agree with the stability analysis for EdefE_{def}. We discussed the impacts of the Malaria disease control interventions on the important parameter for Malaria disease transmission. Recommendation for control and eradicating Malaria disease transmission provided

    Modeling the Effect of Misdiagnosis in the Co-circulation and Co-infection of Dengue and Zika Virus Disease

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    Dengue and zika virus disease are flavivirus diseases that spread through bites of Aedes aegypti, a mosquito in the Aedes family. There have been emerging reports of co-infection of these two diseases in humans and Aedes aegypti, in the areas where the two diseases are prevalent. More so, the two diseases are known to manifest similar characteristic symptoms, which makes it possible for mis-diagnosis and wrong treatment. In this paper therefore, we model co-circulation and co-infection of dengue and zika virus disease in human and mosquito populations, with a system of non-linear ordinary differential equations. It is shown that the disease-free equilibrium of the model may not be globally asymptotically stable due to re-infection of infected humans and mosquitoes by the other disease. The impact of mis-diagnosis of the diseases is investigated which shows that mis-diagnosis would increase the spread of the diseases if the proportion of humans that are accurately diagnosed and treated is more than the rate of recovery of humans that are wrongly diagnosed and treated. Positive constants which give the rates at which the spread of one disease affects the spread of the other are obtained. Plots are given to visualize these important results

    Translating TV Series Titles: A Case Study of Iranian Film Monthly Magazine

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    TV series titles have always played an influential role in their marketing as the primary factor that draws potential viewers' attention. Translation of titles is a challenging task that is fulfilled by employing specific translation methods. This study aims to analyze the translation of 50 American TV series titles into Persian by the Film Monthly Magazine. The practical analysis in the thesis is based on Molina and Albir's (2002) model of translation techniques. After reviewing the selected titles from popular American TV series, it was revealed that the most common technique used by Film is the literal translation, adopted in the case of 18 titles and 36% of data. Borrowing with ten titles and 20% of the data holds the second rank. Modulation took the third rank with six titles and 12% of the data. Transposition was used for five titles and 10% of the total data. Next, discursive creation, generalization, established equivalent, and reduction were used equally for two titles comprising 4% of the total data. The least common translation process used by the translators to render the titles was amplification, with only one title translated in this way, which made up 2% of the cases. According to the samples, a combined technique of literal translation and borrowing was used in this research, where two titles were translated. These obtained results will be advantageous to translators, film and TV series distributors, film magazine authors, and closed-captioners

    THE Heavy Metal Contents and Proximate Analysis of Telfairia occidentalis (fluted pumpkin) Brought from Dagbolu along Ikirun, Olorunda Local Government and Irepodun Village Osogbo Local Government, Osun State.

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    In this study, the leaves of pumpkin purchased from two different markets in Osun State, Nigeria - Dagbolu along Ikirun Olorunda Local Government and Irepodun Village Osogbo Local Government Osun State, were analyzed for proximate and heavy metal content. The results of the proximate analysis revealed that the leaves contained essential nutrients like moisture, ash, crude fiber, fat, protein, and carbohydrate, which makes them a good source of food supplement. And their percentage composition were (2.64 % and 2.15%), (13.33% and 12.98%), (2.32 % and 2.15 %),(11.85 % and 11.20%),(24.54 % and 25.40 %) and(45.32 % and 46.12 %) for A and B respectively. Analysis also showed the concentration of heavy metals like Zn, Cu, Fe, and Mn, which were found to be relatively high in the leaves with following concentration (3.12 mg/g and 2.56 mg/g), (1.95 mg/g and 1.64 mg/g), (6.98 mg/g and 5.89 mg/g), and (0.43 mg/g and 0.36 mg/g) respectively for A and B. Despite this, the high concentration of Zn and Fe makes pumpkin leaves an excellent source of energy and protein for both humans and animals

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