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ISLAMIST POLITICS AND THE LOCAL GOVERNMENT ELECTION IN BANGLADESHI NEWSPAPERS: Received: 23rd January 2024 Revised: 7th February 2024, 8th April 2024, 12th April 2024 Accepted: 28th January 2024
No full textThis study aims to examine the representation of an Islamist political party— Islami Andolan Bangladesh (IAB) during their political campaign in the context of the 2023 Barishal City Corporation (BCC) in three Bangladeshi mainstream newspapers— the Daily Star (DS), the Daily Janakantha (DJ) and the New Age (NA). Examining the news articles, photographs and editorials, this study argues that these newspapers sidelined, ignored, and in some cases favored the Islamist party. It also argues that the party IAB uses myth— if you vote for hand-fan (electoral symbol of IAB), Allah and Rasool (prophet Muhammad) will have the votes; and makes voters sewer placing hands on the holy Quran—were unchallenged by the three newspapers. Though the IAB could not win the election, it was expected that mass media as social institutions would come forward with accurate information so that social members would not be misguided. The DS and DJ are found with the propensity to sideline and ignore the IAB and its electioneering. On the contrary, the NA provided balanced news coverage compared to the other dailies. Nonetheless, none of them have challenged the myth that the IAB’s uses of myth that misguided the voters
PICTORIAL VOCABULARY MODULE FOR VIRTUAL LEARNING AMONG LOWER SECONDARY ESL STUDENTS: Received: 10th March 2024 Revised: 29th April 2024, 30th April 2024 & 23rd May 2024 Accepted: 2nd April 2024
No full textEnglish as a Second Language (ESL) students with limited vocabulary knowledge often face difficulties to learn and use English on a regular basis. To promote virtual learning, this study uses the module of pictorial vocabulary to help students learn vocabulary remotely. The module is tailored based on the ‘Substitution Augmentation Modification Redefinition’ (SAMR) Model. In this study, 150 ESL students from lower secondary schools across Malaysia use this module to help them learn the target words mentioned in the SBELC. A mixed methods research design is employed. After using the module, students have answered an evaluation form which is evaluated descriptively in terms of its mean scores and standard deviation. The qualitative data from the interview with the students are transcribed, categorized, and coded using content analysis. Based on the research findings, the students’ vocabulary knowledge has substantially increased after using the module. This study's implications indicate that the use of pictorial vocabulary learning module is both interactive and effective in learning the target words. In the area of vocabulary acquisition, this research adds value as it can be used to carry out additional research to enhance the ability of students to learn new words
A MODEL TO ENSURE QUALITY MANAGEMENT OF SCIENCE AND TECHNOLOGY FOR AUTONOMOUS INSTITUTIONS IN VIETNAM : Received: 27th December 2024 Revised: 12th February 2024, 28th February 2024 & 3rd March 2024 Accepted: 3rd January 2024
No full textAlongside internal quality assurance measures, external quality assessment serves as a mechanism to ensure the quality of education in Vietnam, proven to offer various opportunities (enrollment, research collaboration, technology transfer, etc.) as relevant parties become aware of and trust in the educational institution's quality. Consequently, the impact of educational quality assessment prompts systematic quality assurance activities within the university, yielding high results based on post-assessment expert recommendations. However, among the university activities in Vietnam, scientific and technological management has been identified as one of the few standards with a relatively low average score (Hien et al., 2022); Anh, 2022). Proposing a suitable research model to assess the influence of educational quality assessment on the scientific and technological management of autonomous universities in Vietnam will assist these institutions in identifying crucial elements of scientific and technological management. This will facilitate the implementation of more feasible activities to ensure the quality of these operations, contributing significantly to the overall educational quality of the institution
DEVELOPMENT OF A MULTIMODAL TOOL TO SUPPORT TEACHING OF ROOT CANAL ANATOMY OF PRIMARY MOLARS: AN OBSERVATIONAL CROSS-SECTIONAL STUDY TO EVALUATE THE ACCEPTANCE OF UNDERGRADUATE STUDENTS: Received: 22nd December 2022 Revised: 04th June 2024 Accepted: 24th April 2024
No full textThe study developed a multimodal imaging tool to support the teaching of root canal anatomy of primary molars and evaluated its acceptance by dentistry students. A cross-sectional study was developed and divided into two parts: creation of a video and elaboration of an electronic questionnaire to assess acceptance. Both were pre-tested for content and comprehension. Undergraduate dental students who were attending or had already attended a Pediatric Dentistry course were eligible. Data were collected from for two months and analyzed descriptively and comparatively (Wilcoxon test). A total of 135 students, mostly female (79.26%), from last or before last year (54.81%) at private institutions (86.67%), with an average age of 25.36±6.46 years old. Most of them (78.52%) were attending the Pediatric Dentistry course in the current semester, with online classes, synchronously (57.04%). Almost half (50.37%) thought they had reasonable knowledge about the anatomy of primary teeth before watching the video, and 59.26% did not seek extra information about the subject. Self-knowledge on the topic improved after watching the video (p<0.01). From those who answered the questionnaire completely (115), 99.13% considered the video relevant and 100% thought the information was clear. Video was well accepted by students while being important to help increase their knowledge
CONFIGURABLE NAIVE BAYES IMPLEMENTATION ON FPGA USING PARTIAL RECONFIGURATION
Get PDFThe Naive Bayes classifier is a fundamental algorithm in machine learning, known for its simplicity and effectiveness in various predictive modeling scenarios. However, its deployment in real-time applications demands efficient hardware implementations that can adapt dynamically to varying computational needs and model specifications. This work presents a novel FPGA-based implementation of Naive Bayes classifiers that leverages partial reconfiguration to enhance flexibility and resource efficiency. Our method employs a modular architecture that allows seamless switching among various Naive Bayes models, such as Gaussian, Multinomial, and Bernoulli, enhancing system flexibility without halting ongoing processes. By utilizing partial reconfiguration, our implementation minimizes the FPGA resource utilization, enabling more efficient use of hardware. We thoroughly evaluate our system, focusing on reconfiguration time and resource efficiency. We demonstrate that our approach provides the operational flexibility needed for real-time data processing tasks, enabling quick adaptation to variable data types and distributions without interrupting ongoing processes. This adaptive framework supports dynamic scenarios, facilitating immediate updates in response to evolving conditions with minimal downtime
INTELLIGENT NUMERICAL METHOD FOR STUDYING MAXWELL WILLIAMSON NANOFLUID FLOW WITH ACTIVATION ENERGY: Received: 16th August 2022 Revised: 11th January 2023, 22nd February 2023, 22nd April 2024 Accepted: 06th March 2023
No full textThe use of artificial intelligence and its techniques has become increasingly widespread in recent times. It is being used to solve stiff non-linear equations. Additionally, nanofluids play a pivotal role in studying heat transfer. All of this was the motivation for doing this work. This work investigates a two-dimensional magnetohydrodynamic stretched flow (2D-MHDSF) of Maxwell Williamson nanofluid (MWNF) affected by bioconvection and activation energy numerically through Levenberg-Marquardt backpropagation method (LMBM)-based artificial neural network approach. The mathematical formulation for the problem was obtained through non-linear partial differential equations (PDEs). The leading PDEs were transmitted into non-linear ordinary differential equations by similarity transformation variables. The reference results for the 2D-MHDSF-MWNF model are produced by the Lobatto IIIA method through different scenarios of specific parameters for the flow velocity, fluid temperature, nanoparticle concentration, and motile density profiles. Using obtained results as a dataset to apply the testing, training, and validation steps of the suggested LMBM for the 2D-MHDSF-MWNF model. The mean squared error, analysis of regression, and error histograms are presented to prove the efficiency and precision of the proposed method. The numerical results of LMBM are displayed as a study of the effects of different physical factors on flow dynamics for 2D-MHDSF-MWNF.
The use of artificial intelligence and its techniques has become increasingly widespread in recent times. It is being used to solve stiff non-linear equations. Additionally, nanofluids play a pivotal role in studying heat transfer. All of this was the motivation for doing this work. This work investigates a two-dimensional magnetohydrodynamic stretched flow (2D-MHDSF) of Maxwell Williamson nanofluid (MWNF) affected by bioconvection and activation energy numerically through Levenberg-Marquardt backpropagation method (LMBM)-based artificial neural network approach. The mathematical formulation for the problem was obtained through non-linear partial differential equations (PDEs). The leading PDEs were transmitted into non-linear ordinary differential equations by similarity transformation variables. The reference results for the 2D-MHDSF-MWNF model are produced by the Lobatto IIIA method through different scenarios of specific parameters for the flow velocity, fluid temperature, nanoparticle concentration, and motile density profiles. Using obtained results as a dataset to apply the testing, training, and validation steps of the suggested LMBM for the 2D-MHDSF-MWNF model. The mean squared error, analysis of regression, and error histograms are presented to prove the efficiency and precision of the proposed method. The numerical results of LMBM are displayed as a study of the effects of different physical factors on flow dynamics for 2D-MHDSF-MWNF
EFFECTIVENESS OF BRAND COLLABORATIONS BETWEEN ANIMATION AND FASHION INDUSTRY
Get PDFThis research discusses the impact of collaborations between fashion brands and animation studios amongst the customer. This phenomena has been intriguing for the researcher because recently in the last few years there have been countless collaborations between these brands. The brands have impacted the customers’ preferences and they purchase these collaboration items for many different reasons. The researcher started this research by mapping the background of these collaborations. After analyzing the background, the researcher started to find the topic or goal of this research which is finding the reasons behind why these collaborations are (most likely) to be successful. Following finding the focus on this research was a part of the beginning steps, the researcher started finding literature works related to my topic. Journals, academic articles, news articles and others that are related to fashion, brand collaboration, collaboration marketing, animation studios and so much more. These literatures helped me find the definition and information regarding aspects that are related to my research. After reading these literature works the researcher analyzed each of them and divided them into sections within my research. As the researcher has mentioned before, the researcher discussed the definition. Information, reasons, how it impacts other parts of the research or why they are related. After the literature review was finished the researcher continued to conduct a survey to receive first primary sourced data. The survey that was conducted consisted of questions related to the customers’ knowledge regarding anime, fashion brands, brand collaborations, their shopping preferences, their standard to shop a branded product and so much more. The survey received 151 respondents for my survey. From this survey the researcher received new information regarding my research and this definitely helped me in finding the reasons behind why customers or the market are interested in purchasing collaboration products between animation and fashion brands. The step after conducting the survey was analyzing the data that the researcher has collected. The researcher used descriptive and quantitative analysis from the graphs of the survey’s result. The researcher made a conclusion and analysis of each question’s answers. The answer with the highest amount in a question becomes the true answer or represents the majority of the population. After representing the survey’s data in the form of graphs and statistical analysis. The result of the survey and findings from the journal shows that there are various effects of brand collaborations towards the customers, whether they are from the animation series’ market or outside the market. There were also additional insights regarding people who are not interested in purchasing collaboration products, they gave their perspective about their reasonings on why they won’t be buying those items
DRIVERS & OUTCOMES OF HUMAN CAPITAL ANALYTICS
Get PDFThe current article analyzes human capital analytics and develops a model for the drivers and outcomes of human capital analytics. A total of 81 articles have been analyzed using content analysis and a model has been developed for drivers and outcomes of human capital analytics. The model identifies four drivers and seven outcomes of human capital analytics. The drivers include organizational culture, employee hard & soft skills, employee competencies and skilled workforce. The outcomes include stronger inter-departmental relationships, improved employee experience and behavior, knowledge-based decisions, improved company performance, provision of competitive edge, risk reduction and enhancement of strategic organizational capability. We see that human capital analytics is an emerging phenomenon and yet much literature does not exist on the phenomenon. Considering minimal exploration of HR data analytics and its hidden role in the company's performance, the area has been less approached. Our review addresses the mentioned shortcomings and provides a roadmap for future research
THE ROLE OF FED SPEECH SENTIMENT SIGNALS IN SHAPING US MARKET RESPONSE
Get PDFThe Federal Reserve's communication shapes US investor decisions and market dynamics. This paper examines the impact of the Fed governor speeches' sentiments signals on the US equity market performance from June 1996 to Sep 2023. The sentiment index is calculated using individual Lexicon dictionaries (AFINN, Bing, NRC, and Loughran McDonald) and their combined PCA scores. Our findings revealed a negative relationship suggesting that a positive (negative) sentiment brings a significant decrease (increase) in the cumulative abnormal return on the event window (+2). These results provide valuable insights into the dynamic nature of the US equity market in response to the Federal Reserve’s communication for regulators, policymakers, and other stakeholders of the equity market
THE IMPACT OF TECHNOLOGICAL ADVANCES ON THE DEVELOPMENT OF DIGITAL MARKETING ON TIKTOK
Get PDFTechnological advancements have revolutionized the marketing strategies employed by companies, particularly in the realm of digital marketing. Digital marketing utilizes digital technologies and online platforms to achieve more effective and efficient customer outreach on a global scale. This study aims to investigate the impact of technological progress on the evolution of digital marketing. Employing case studies from previous research, this study leverages the AIDA (Attention, Interest, Desire, Action) framework to examine this relationship.
The findings indicate a significant correlation between technological advancements and the growth of digital marketing, influenced by various factors. Furthermore, the rise of social media platforms, such as TikTok, has notably reshaped the digital marketing landscape. TikTok's unique structure and vast user base offer companies new opportunities to engage with their audience, create viral content, and boost brand awareness. The study highlights the importance of TikTok's algorithm, user engagement, and creative elements in enhancing digital marketing effectiveness, establishing it as a crucial tool for modern marketers