American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
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Stabilization of Laterite Soil with Pozzolan-Calcium hydroxide Binders for Construction of Low Volume Roads in Mbeya Tanzania
Full text linkThe study stabilized Laterite soils by using Natural pozzolan – Calcium hydroxide binders for the aim of improving its strength. Characterization and stabilization process of Laterite soil under laboratory conditions were conducted. The Laterite soils used for this study were classified as clayey soils with a plasticity index of 33%, a maximum dry density of 1525 kg/m3 and a California bearing ratio of 6.7%. Natural pozzolan – Calcium hydroxide binders (PoCH) at proportions of 70%:30% (70Po30CH) and 50%:50% (50Po50CH) were used as binders to Laterite soils. The binders were replaced to Laterite soils at dosages of 5%, 10%, 15%, 20%, 25%, and 30% by weight. The stabilized Laterite specimens were cured for 7, 28 and 48 days. The results indicated that the addition of Natural pozzolan – Calcium hydroxide binders to the Laterite soils reduced the plasticity indices from 33% to 13.7% at 30% of 70Po30CH and from 33% to 10.8% at 30% of 50Po50CH binders.The unconfined compressive strength (UCS) values of Laterite soils mixed with 20% of 70Po30CH and 50Po50CH and cured for 28 days were 1.4 MPa and 1.2 MPa respectively. The study revealed that the strength of Laterite soils can be improved through stabilization with 70Po30CH and 50Po50CH binders at dosage of 10% to 25% for the construction of improved subgrade and subbase layers of low-volume roads in Mbeya Tanzania
Detection of Rare Events: Cluster Based Preprocessing of the Training Set: The Case on Complaints for Invoice Time Series
Full text linkDetection of rare events is a major problem when dealing with unbalanced data. In the application of machine learning tools, data is split into training and test samples and preprocessing is applied to the training set, with the aim of obtaining a more balanced sample. In this paper we discuss preprocessing methods applied to heterogenous data clustered with respect to expected anomaly types. We propose a method for deciding on oversampling and under-sampling from each cluster, based on the variability of the items in each cluster, using Principal Component Analysis. The method is applied to the problem of detecting anomalies in a time series invoices, with an average rate of complaints of orders 10-4.
Inventory of Urban Trees in the City of Bunia, Case of the Mudzipela District, Ituri Province, DRC
Full text linkThe choice of this investigation was motivated by the fact that knowledge of urban forests seems to be of little interest to researchers, given its absence in the local literature. The general objective of this work is to contribute to a better understanding of the floristic diversity of the Mudzi-pela district. The meth
odological approach adopted made it possible to count and identify the trees planted along 13 avenues. After analysing the data collected in the area, we arrived at the following results: 361 trees, divided into 36 species and 30 families along the main avenues in the district. The average above-ground biomass for the avenues studied was 0.5730±0.0907 (CV: 15.82%), corresponding to an average of 0.28461 ± 0.045341 kg of sequestered carbon. This testifies to the compensatory role of the tree species in the Mudzi-pela district in the emissions of carbon dioxide resulting from human activities. The study environment is highly species-diverse, with the Simpsom 1-D index tending towards 1 in all the avenues studied
Moving the Agriculture Value Chain Forward in Nigeria: A Review of Digital Technology Trends in Financing Agriculture
Full text linkNigeria’s telecommunication industry has developed since the privatization of the telecommunication industry in the early dispensation of the Fourth Republic in 1999. It has positive transformational development of some sectors of the economy with an impact on the growth, and improving the effectiveness and efficiency of businesses in banking and finance, oil and gas, taxation, and energy sectors with reliance on the development of software and programs and hardware. The neglect of digital technology for an internet economy in the agriculture sector financing can be argued to be a contributor to the negative effect of the overall social system in Nigeria. If there is an increase in digital technology financial services for the agricultural sector in the rural areas in Nigeria, then there will be an increase in agricultural financing agricultural productivity, and agricultural performance. The objectives of this paper are - 1. To examine the problems of digital technology limiting financial agricultural funds in private, public, and international financial institutions and agencies and agricultural sector productivity. 2. To identify the research gaps in digital technology financial services that limit agricultural funding in Nigeria. This paper is structured around multidimensional approaches with emphasis on the theories of development which include the Big Man Theory of Thomas Carlyle, the Management Theory of Frederick Taylor, the Structural Functional Theory of Talcott Parson and Robert K Merton, the Modernization Theory of Emile Durkheim, the Human Needs Theory of David McClelland and Maslow, and Integration Theory of Niemann and Bergmann. The method used for data collection is a secondary source and is based on the review of two journal papers and two international conferences published in journals and academic websites related to financing agriculture and seven digital technology papers that relate to the problem of financial exclusion for agricultural smallholder farmers.The findings reveal a lack of a structural framework that supports developed software and hardware and a lack of a universal API that provides financial services to marginalized rural farmers in rural areas. The absence of checks and balances in accounting and the absence of agricultural extension workers limits the services of monitoring and evaluation of agricultural funds and smallholder farmers. It is recommended that digital technology be applied to provide financial inclusion for marginalized farmers in rural areas.
Leveraging Artificial Intelligence for Enhanced Personalization and Customer Experience in E-Commerce Platforms
Full text linkArtificial Intelligence (AI) is revolutionizing the e-commerce industry by enabling unprecedented levels of personalization and enhancing customer experiences. This paper explores how AI technologies, such as machine learning, natural language processing (NLP), computer vision, and recommendation systems, are being leveraged to tailor e-commerce interactions to individual customer preferences and behaviors. Key personalization strategies include dynamic content adaptation, customized product recommendations, and personalized marketing campaigns. AI-powered chatbots, virtual assistants, and predictive analytics are transforming customer service, making it more efficient and responsive. Case studies from leading e-commerce platforms like Amazon and Netflix illustrate the practical applications and benefits of AI, including increased conversion rates, improved customer loyalty, and enhanced operational efficiency. The paper also addresses challenges such as data privacy, algorithm bias, and integration with existing systems. Looking forward, the integration of AI with emerging technologies like the Internet of Things (IoT) promises to further innovate the e-commerce landscape. This paper provides a comprehensive overview of the current state and future prospects of AI in enhancing personalization and customer experience in e-commerce
The Influence of Kindergarten Teachers’ Knowledge and Instructional Activities on Academic Related Skills of Children in the Talensi District
Full text linkThis study aimed to investigate the impact of teachers\u27 knowledge and instructional activities on the learning abilities of kindergarten children in selected schools in the Talensi District of Ghana. A descriptive survey research design was employed, involving 98 selected teachers, with 76 of them participating in the study. Data was collected using a structured questionnaire and classroom observations. The collected data were analyzed using various descriptive and inferential statistics with the assistance of the SPSS program. The analysis revealed that kindergarten (KG) teachers possessed knowledge in areas such as the organization of the learning environment, child development, curriculum design for children, multiple forms of assessment, family and parent outreach, methods of teaching diverse children, and strategic use of resources and information and communication technology (ICT). Additionally, instructional activities employed by teachers included general exercises, logic, mathematics, and numeracy skills, reading, and writing activities, socio-emotional developmental activities, and creative art activities. Further analysis indicated a strong positive relationship between teachers\u27 knowledge and academic-related skills. Similarly, a significant strong relationship was found between various instructional activities and academic-related skills.
This suggests that both teachers\u27 knowledge and instructional activities play a crucial role in influencing the academic skills development of KG children.
The study recommends that the government should establish National Early Childhood Teachers\u27 Training Centers in all regions to address the specific skills needs of teachers. Standardization of the KG curriculum is also advised to ensure consistency in educational content across all schools. Additionally, in-service training and provision of learning materials for KG teachers are recommended to support their work on a regular basis
The Role of Songs in the Teaching of French Vocabulary in Ghanaian Basic School
Full text linkThis study investigated The role of songs in the teaching of French vocabulary in Ghanaian Basic schools. Two groups heard texts as songs, one group heard the same texts as speech, and one group was the control group. For the text recall variable, a cloze test was administered at the end of each song treatment to determine the total words recalled. Students from one of the music groups heard the melody of the song while testing. For the din variable, students were asked to report on the amount of this phenomenon experienced. Data was collected to answer the following questions: (1) Is there a significant increase in text recall when that text is learned through the use of songs, (2) Is there a significant difference in delayed text recall for students who learned the text with song, as compared to those who learned the text with spoken recordings?, (3) Is there a significant difference in the recall results when one group of students from the song groups hears the melody of the song during the recall test? Immediate recall of text showed higher scores for the music class in all three songs. This difference reached significance in Songs 1 and 3. Delayed text recall showed no significant difference between the classes. There was no advantage observed for the group that heard the background melody during testing. Overall results for the din occurrence showed a significant difference between the classes. Students in the classes that heard music reported a higher occurrence of this phenomenon than those who heard only spoken text. Students of the melody group reported a significantly higher frequency than did students from the text group. These findings suggest that the use of songs in the French language classroom may aid the memory of text. The results evidenced that the occurrence of the din is increased with music, and therefore may be a more efficient way to stimulate language acquisition
Impact of Healthcare Digitization: Systems Approach for Integrating Biosensor Devices and Electronic Health with Artificial Intelligence
Full text linkElectronic health has revolutionized medical practices by seamlessly integrating digital tools and automated healthcare practices over recent years with the technological advancements of artificial intelligence. This multifaceted domain encompasses telemedicine, wearable technologies, electronic health records, and more, each with distinct subfields and innovative approaches. In this study, we provide a comprehensive overview of electronic health, delving into its diverse fields. We explore how artificial intelligence transforms medical imaging, informs clinical decisions, enables precision medicine, and empowers robot healthcare assistants. By shedding light on these hidden synergies, we aim to inspire researchers and practitioners to elevate their studies. Electronic health silently impacts our lives daily, and our work serves as a catalyst for recognizing its pervasive influence
The Effects of Shame and Saving Face on Foreign Language Speaking Anxiety in South Korea
Full text linkThis paper investigates how cultural factors, especially shame and the idea of \u27saving face,\u27 affect foreign language speaking nervousness among Korean students. Based on the author’s teaching experience in Korea and a survey of Korean college students, the study explores how Confucian traditions and social expectations influence students’ reluctance to speak English. The results show that cultural views on shame and honor strongly influence nervousness and avoidance behaviors in language learning. The paper recommends a few teaching strategies considering culture to reduce nervousness and encourage effective language learning
Housing Affordability and Prototype Solutions for Middle-Income Group of Savar, Bangladesh
Full text linkAddressing the housing needs of the middle class has been a key focus of national initiatives in emerging nations like Bangladesh. With a substantial portion of the population being middle-income individuals, this issue is particularly pressing, especially in various parts of the capital city of Dhaka. However, the area of Savar is notable for its high population of factory workers within the middle-income bracket, where housing affordability is a major concern. Surprisingly, this issue has remained largely unnoticed. To address this, an on-field investigation and survey were conducted to assess the affordability scenario. The application of the Price to Income Ratio (PIR) tool facilitated a numerical assessment of the situation. The findings reveal a significant gap between housing demand and supply, with most available options being unaffordable for the target group. Therefore, this research aims to identify potential solutions within the affordability range of the middle-income group, including exploring modular housing options as a cost-effective and flexible approach to meet their needs and offer a viable path toward improved living conditions for the target demographic, and to spark further investigations into the topic