European Journal of Theoretical and Applied Sciences
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A Glimpse into the Future: Examining University of Dhaka Undergraduates Perception of the Hospitality Industry for Future Career
Get PDFThe main objective of this study is to acknowledge the perceptions of undergraduates on pursuing a career in the Hospitality Industry. The service industry such as hospitality industry of Bangladesh is a significant sector contributing to the economic development and have seen flourishing prosperity in recent years. The success of hospitality industries and their prestigious brand image have encouraged youth generation specially undergraduates to pursue their future career in Hospitality industry. This study basically identifies twenty variables associated with the influencing factors that may instigate undergraduates to pursue the Hospitality industry as their career choice. By a systematic analysis of twenty independent variables result shows that, six variables are statistically arrived at 1% significant level that means have significant influence on undergraduates’ perception and another eight variables are estimated as 5% of significant level. This implies that ensuring high Salary, brand names of the company, Job security, diversified working opportunity, and proper replacement polices each of the variables is positively influencing undergraduate’s preference in career choice in hospitality industry. This study concludes with few practical implications that have been extracted in the light of empirical findings to influence undergraduates’ perceptions positively towards hospitality industry. 
Enhancing Visitor Satisfaction in Bangladeshi River Tourism: Identifying and Addressing Critical Factors
Get PDFThe expanding popularity of river tourism highlights the need to research the different factors that influence visitor satisfaction in this industry. The purpose of this study is to identify critical factors in enhancing visitor satisfaction in Bangladeshi river tourism. A precisely prepared study methodology was used to examine data collected from 100 visitors who had direct experience with river tourism in the Chandpur region, using a random sample method. The collected data underwent a variety of statistical analyses, including regression, descriptive statistics, KMO and Bartlett's Test, reliability testing, ANOVA, and exploratory factor analysis, with the goal of identifying the major drivers influencing visitor satisfaction in river tourism. The analysis identified destination attractions, safety and security, effective management, and accessibility of river tourism as critical factors influencing the satisfaction of visitors. Furthermore, three research hypotheses were thoroughly tested using the chi-square test, ANOVA, regression, and coefficient analysis. The research findings are expected to provide significant insights for tourism experts in developing strategies for effective planning and execution of business activities in the river tourism sector. The research concludes by outlining consequences and suggesting options for future research endeavors. 
Deep Learning Models for Classification of Lung Diseases
Get PDFThis thesis focuses on the importance of early detection in lung cancer through the use of medical imaging techniques and deep learning models. The current practice of examining nodules larger than 7 mm can delay detection and allow cancerous nodules to grow undetected. The project aims to detect nodules as small as 3 mm to improve the chances of early cancer identification. The use of constrained volume datasets and transfer learning techniques addresses the scarcity of medical data, and deep neural networks are employed for classification and segmentation tasks. Despite the limited dataset, the results demonstrate the effectiveness of the proposed models. Class activation maps and segmentation techniques enhance accuracy and provide insights into the most critical areas for diagnosis. This research contributes to the understanding of lung disease diagnosis and highlights the potential of deep learning in medical imaging. 
Virtual Learning Environment: Enriching 21st Century Academic Landscape
Get PDFVirtual learning environments (VLEs) play a crucial role in the academe. Put on spotlight during the Covid-19 Pandemic, VLEs enable educators to reach out to their learners as they can easily communicate and interact with their students to facilitate learning beyond their classrooms and typically limited class time. Moreover, VLEs empower learners as they can easily communicate, collaborate, access learning materials, upload assignments and requirements, answer online quizzes, and seek their teachers’ assistance in spite of the lack of personal interaction in online and blended learning modalities. Recent studies suggest that VLEs foster collaboration, communication, and interaction among the primary stakeholders – teachers and students – of the academe. This journal article aims to shed light on the nature and significance of virtual learning environments as it enriches the academic landscape of the 21st century. Delving into the significant findings of recent studies, this article will elucidate the numerous issues and challenges encountered by the primary stakeholders of the academe. Finally, it shall point out the gaps in the current research literature to underscore the fascinating and timely topics which may be considered by future researchers in their pursuit of knowledge creation. 
The Physical and Mechanical Properties of Coral Sand
Get PDFCoral sand interacts with a variety of particles and species in tropical marine habitats due to its special characteristics. particular emphasizes the benefits of using contemporary mathematical technologies to examine the characteristics and behavior of coral sand for engineering applications. Coral sand's composition and creation processes influence its distinctive qualities. Coral sand is mostly made up of the skeletal remains of tiny coral polyps and has a white or off-white appearance due to its high calcium carbonate content. Particularly in the area of geotechnical engineering, the interaction of coral sand particles is of great importance. Particle form, size distribution, and interparticle forces are a few examples of the variables that affect how coral sand behaves as a granular material. Investigations on its geotechnical characteristics, such as its shear strength, permeability, and compressibility, are the main focus of current research. To learn more about the engineering behavior of coral sand, researchers are examining field monitoring approaches and laboratory testing procedures. Additionally, research aims to comprehend how biological activity, cementation, and particle form affect coral sand's mechanical characteristics. In the coral sand study, the benefit of contemporary computation technologies is remarkable. Advanced computer methods, in combination with numerical modeling and simulation approaches, provide precise forecasting of coral sand behavior under various loading and climatic conditions. Engineers may use these technologies to examine foundation design issues, determine the stability of coastal buildings, and create methods for controlling coastal erosion. The study of coral sand and its characteristics has important ramifications for geotechnical engineering. The capacity to assess and construct engineering structures in coral sand settings is improved by the application of contemporary computation technologies. 
Analysis of the Economic Impact of Research and Agricultural Extension of Sesame in Burkina Faso
Get PDFThis study aims to assess the economic impact of research and extension as for improved sesame varieties in Burkina Faso. Indeed, the effectiveness of the use of financial resources allocated to research and extension is a concern for donors and governments of different countries. The economic surplus model was used as an analytical tool for this study. Thus, data were collected from research, extension and statistical data production structures. This method evaluates the impacts in terms of shift of the supply curves. The results of the model show that it is benefitting to invest in cowpea research. In fact, in this study, the internal return rate is about 69% for the period ranging from 2006 to 2018, with a net added value nearly 372 billion FCFA. Such high rates could only be achieved through the relevance of the research results and their dissemination / adoption. Therefore, for a development of the sesame sector and an improvement of producers ‘income, the investment in the research is essential. 
Maximal Efficiencies in New Single GaAs(1−x) P(x) - Alloy Junction Solar Cells at 300 K
Get PDFIn single n+(p+) − p(nn) [X(x) ≡ GA1−xPx]-alloy junction solar cells at 300 K, 0 ≤ xx ≤ 1, by basing on the same physical model and the same treatment method, as those used in our recent works (Van Cong, 2024), we will also investigate the highest (or maximal) efficiencies, ηImax .(IImax.) at the open circuit voltageVos(= Vos1 (os2 ),according to highest hot reservoir temperatures TH(K), obtained from the Carnot efficiency theorem, which was demonstrated by the use of the entropy law. Here, some concluding remarks are given in the following. (i)-First, with increasing x=(0, 0.5, 1), from Table 3, obtained for the single n+ − p X(x)-alloy junction solar cells, and for given rSn(Cd)-radius, for example, one obtains: ηImax (↗)= 31.18%, 33.495%, 35.99%, according to TH(K) = 435.9, 451.1, 468.7, at Vos (V) = 1.07, 1.06, 1.05, respectively. (ii)- Secondly, with increasing x=(0, 0.5, 1), from Table 5, obtained for the single p+ − n X(x)-alloy junction solar cells, and for given rCd(Sn)-radius, for example, one gets: ηηIImax (↘)= 33.05%, 31.95%, 31.37%, according to TH(K) = 448.0, 440.9, 437.1, at Vos (V)[>Vos(V)] = 1.20, 1.15, 1.12, respectively, suggesting that such ηImax .(IImax .)-and-TH variations dependon Vos(V)[> Vos (V)] − values. Then, in particular, as given in Table 3, for x = 0 and (rda ) =(pt), one gets: ηI =23.48 % and 29.76 % at Vos= 0.98 V and 1.1272 V, respectively, which can be compared with the corresponding results obtained by Moon et al. (2016) and Green et al. (2022) for the single-junction GaAs thin-film solar cell, 22.08 % and 29.71 %, with relative deviations in absolute values, 6.34 % and 0.17 %. Finally, one notes that, in order to obtain the highest efficiencies, the single GaAs1−x Px-alloy junction solar cells could be chosen rather than the single crystalline GaAs-junction solar cell
Patterns of Relationships Between College Teachers’ Leadership Competence and Work Engagement in Selected Private Higher Education Institutions in Davao Region: The Mediating Impact of School as Professional Learning Community
Get PDFThis study explores the correlation between leadership competence and work engagement among college teachers in Davao region's private higher education institutions. Adopting a mediation model, it investigates the influence of the school as a professional learning community on this relationship. Through a quantitative nonexperimental descriptive-correlational approach, 105 college teachers who were selected using cluster sampling technique from selected private higher education institutions participated in the survey. The findings reveal high levels of leadership competence, work engagement, and perception of the school as a professional learning community among the college teachers. It was also found that there are significant positive correlations among leadership competence, school as a professional learning community, and work engagement. Furthermore, the study identifies the school as a professional learning community as a significant mediating factor, partially explaining the correlation between leadership competence and work engagement. These results underline the importance of fostering a supportive and collaborative school environment to enhance leadership competence and teacher engagement in Davao region's private higher education institutions. This study sheds light on the crucial role of school as a professional learning community, offering insights for educational policymakers and administrators seeking to champion leadership competence and work engagement of college teachers in the 21st century. 
Pre-Diagnosis of Hypertension Using Artificial Neural Network
Get PDFThis paper aims to use artificial neural network ANN to contribute to pre-diagnosis of hypertension prediction, In this paper used the MATLAB to building ANN model in this model a number of people were tested to predict whether they had blood pressure disease or whether they were not infected this paper found the performance of pre-diagnosis of hypertension using artificial neural network is good method for healthcare based on results the accuracy of model reaches 81 % the proposed neural network is back propagation neural network incudes of seven input neurons in the input layer which are the factors of hypertension, four hidden neurons in the hidden layer The node of the output layer is the one that gives the classification for the data. It classifies that are having hypertension or not having hypertension. 
Predatory Birds Fauna of Desert Locust, Schistocerca gregaria (Forskal) (Acrididae: Orthoptera) in Barmer, Rajasthan (India)
Get PDFThis field study was conducted on birds as natural predators of desert locust, S. gregaria and recorded to be the indicator along the movement of hoppers during the occurrence. Eight birds were observed to prey on different stages of locust. Indian myna, common crow, spotted babbler in flocks, desert lark, variable wheatear in small groups and rock bush quail in group were observed to pick and feed on locust. However, Gouriya and Bagula in folks were observed to prey on I to II and III to IV instars hoppers but folks of both seen near villages. The congregation of any one or combination of species of the eight identified bird species can be used as the ‘indicators’ of presence of desert locust hoppers for survey by locust surveyors and to strategize further management practices.