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Analysis of Food Safety Programs in Three University Restaurants at Some Central-Delta Region Universities, Egypt Based on HACCP Principles
Get PDFHACCP programs have been designed to ensure food safety. The concept of food safety knowledge refers to the education and expertise acquired, whereas food safety practices involve the practical application of this knowledge. This research aims to evaluate how university restaurants apply HACCP principles for their food safety programs. Most of the standard operating procedures for HACCP were followed, but only a few records of corrective actions were found. A university restaurant health inspection scores (UNR-1) was high, suggesting that food safety practices were generally well-implemented. Observations of restaurant facilities were positive overall. However, approximately 53.91% of the employees did not adhere to proper handwashing protocols, as outlined in the 2022 Food Code. While most employees washed their hands before handling food, many did not adhere to the proper handwashing procedure. Despite the strong performance of a university restaurant employees of UNR-1, there are still possible risks of food contamination. Restaurant directors and managers can use this information to evaluate their food safety programs and practices, ensuring they effectively provide safe and healthy food to their university students
Enhancing Teaching through ICT Integration: Insights from Moroccan University English Language Professors
Get PDFThis article explores the positive impact of integrating Information and Communication Technology (ICT) in teaching, leading to improved teacher performance and increased student engagement. The study focuses on suggestions provided by instructors to enhance the use of technology in education. Data is collected through a questionnaire administered to Moroccan university English language teachers from Moulay Ismail University Faculty of Arts and Humanities - Meknes, and Sidi Mohamed Ben Abdellah Dhar - El Mahraz - Fes, serving as a case study. The Statistical Package for Social Sciences (SPSS) version 19 is employed for data analysis. The findings emphasize the importance of quality training, accessible ICT resources, and effective school policies as key factors in successfully integrating technology into education
The Effectiveness of Neuro-Linguistic Programming Techniques in Reducing Students’ EFL Oral Disfluencies
Get PDFThis study aimed to investigate the effectiveness of Neuro-Linguistic Programming techniques (NLP) in reducing EFL oral disfluencies among second-level students in the Department of English, Faculty of Education-Tooralbaha, University of Lahej. A sample of 40 students from the second level of the second semester in the academic year 2021-2022 was selected with a focus on ensuring homogeneity based on their previous grade sheet of speaking skills. The sample was then divided into two groups: an experimental group consisting of 20 students and a control group of the other 20 students.
To achieve the study’s objectives, a pre-test was conducted to measure the oral disfluencies of both the experimental and control groups. Following that, a training program based on NLP techniques was administered to the experimental group over sixteen training sessions during eight weeks. Subsequently, a post-test was conducted to measure the oral disfluencies of both groups to collect the data needed. After conducting appropriate statistical analysis, the findings emphasized the effectiveness of the NLP techniques in reducing instances of students’ oral disfluencies such as pauses and repetitions. These findings emphasize the value of integrating NLP techniques into language teaching and learning providing a practical means to address speech difficulties and cultivate greater fluency and confidence among EFL students. Based on these findings, the researcher has formulated a series of recommendations to leverage NLP in various educational domains
Existence Theory and Stability Analysis to a Class of Hybrid Differential Equations using Confirmable Fractal Fractional Derivative
Get PDFThis research work is related to study a class of hybrid differential equations (HDEs) using conformablefractal-fractional derivative (CFFD). Fixed point theory, in particular Krasnoselskii’s fixed point theoremis implemented on the said problem to establish the conditions for which there exists at least one solution.Also, stability results of Ulam-Hyers (U-H) and U-H Rassias types are derived. At the end of the paper, weadded examples for the purpose of justification and strengthen of our derived results
Flexural Response of a Cantilever Beam under Masses of Varying Velocities with General Boundary Condition
Get PDFResponse characteristics of an isotropic Rayleigh beam with general boundary constraints under the influence of dynamic loads are explored. A fourth-order partial differential equation describes and governs the behaviour of this problem. The weighted residual method converts the governing equation into a series of coupled second-order type of differential equations to facilitate the analysis. A revised version of Struble's asymptotic method is utilized to simplify the transformed governing equation further. This modification aids in reducing the complexity of the motion equation. The Duhamel integration method is then used to find closed-form solutions to the problem, which are then contrasted for three different force motions: forward force, retard force, and uniform. Essential factors such as prestressed force, foundation subgrade, rotatory inertial correction factor, beam length, and the speed of moving loads are all carefully examined, and their impacts are established in this study
On open sets in grill topological spaces
No full textThe objective of this paper is to present and examine these concepts within the context of grill topolog ical spaces, introducing novel categories of θ(∆)−closed sets and θ(∆)−continuous functions specific to grilltopological spaces
Multimodal and Multimedia: An Evaluation of Revoicing in Agent Raghav TV Series of Hausa in Arewa24
Get PDFTranslation implies the transfer of speech to written text, while, revoicing is the replacement of the original voice through the use of multimodal or multimedia technology. Therefore, revoicing is an aspect of Audiovisual Translation that replaces the original speech which was translated in the target language to transfer the culture and language of the source language to an audience. The purpose of this study is to explore the use of revoicing especially in multimedia translation, application and limitations. There is also subtitling that leaves the original speech intact and adds a written translation on screen. The choice of translation procedure depends on a variety of factors. The researchers extracted some segments that served as their corpus for analysis. The researchers applied semiotic theory and comparative approach. The comparison assisted them in identifying some inadequacies in the revoicing and making observations and interpretations. At the end, the following findings were made: i) lips synchronisation became difficult in some instances as the length of sentences in two languages are not the same, ii) revoicing plays a vital role in culture and language preservation, hence an important tool in communication delivery. It was also identified that the two different languages (Hindi and Hausa) have different patterns and language structures
Evaluating machine translation of literature through rhetorical analysis
Get PDFThis paper looks at how well ChatGPT and DeepL, two AI tools, translate literary works. Not only can ChatGPT translate text, but it can also carry out other jobs. DeepL is a service that performs computer translation and uses neural networks. The paper looks at how ChatGPT and DeepL translate books, poems, and dialogues compared to translations done by humans. The paper also talks about the pros and cons of using machine translation for literary reasons, including issues of creativity, style, and adapting to different cultures. The paper uses both new and old studies on machine translation technologies and how they work with human translation. The paper comes to the conclusion that ChatGPT and DeepL are useful but imperfect tools for translating literature, and they require human review and improvement. The paper adds to the fields of machine translation and natural language processing by looking at how two cutting-edge AI tools, ChatGPT and DeepL, can be used to translate literary works. The paper also adds to literature studies and digital humanities by looking into what machine translation can and can't do for creative writing and dialog systems. The goal of the paper is to encourage researchers, translators, writers, and users from different fields to work together and talk to each other.
Bridging Linguistic Divides: The Impact of AI-powered Translation Systems on Communication Equity and Inclusion
Get PDFLanguage diversity presents challenges to effective communication in an interconnected world, necessitating solutions to bridge linguistic divides and foster equitable access to information. The rise of AI-powered translation systems offers promise in addressing these challenges by leveraging advanced algorithms and neural networks to automate language translation. However, concerns arise regarding their impact on communication dynamics and cultural preservation. This paper examines the multifaceted impacts of AI-powered translation systems on communication equity and inclusion, drawing on interdisciplinary insights. It explores the historical evolution of AI translation technologies, their operational functionalities, and the challenges they face in accommodating linguistic minorities and addressing biases. Strategies to enhance AI adaptability, such as text-guided domain adaptation and human-AI collaboration, are discussed, along with recommendations for policymakers, developers, and practitioners to promote inclusive communication practices. Despite significant progress, challenges remain, including accuracy, bias, and ethical considerations. Future research should focus on developing robust translation models for low-resource languages, mitigating biases, and enhancing usability for diverse communication needs
Application of Elzaki’s Method on Fractional Differential Equations
Get PDFThis paper studies a new version of integral transform so-called Elzaki’s transform and some of its properties. The transform is applied to obtain a solution of a class of nonlinear fractional differential equations.Some examples are presented to illustrate the method