150 research outputs found
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
No full textRecommender systems are designed to suggest items based on user preferences, helping users navigate the vast amount of information available on the internet. Given the overwhelming content, outlier detection has emerged as a key research area in recommender systems. It involves identifying unusual or suspicious patterns in user behavior. However, existing studies in this field face several challenges, including the limited universality of algorithms, difficulties in selecting users, and a lack of optimization. In this paper, we propose an approach that addresses these challenges by employing various clustering algorithms. Specifically, we utilize a user-user matrix-based clustering technique to detect outliers. By constructing a user-user matrix, we can identify suspicious users in the system. Both local and global outliers are detected to ensure comprehensive analysis. Our experimental results demonstrate that this approach significantly improves the accuracy of outlier detection in recommender systems.6 pages, 5 figure
Identification of novel E2 binding sites within the HPV genome and their function in the regulation of viral gene expression
No full textThe human papillomavirus (HPV) E2 protein regulates the virus life cycle by modulating viral transcription and replication. To execute these functions, E2 binds to consensus sequences within the long control region (LCR). The possibility of novel E2 binding sites outside the LCR is the primary focus of this study. Moreover, the cellular protein CCCTC binding factor (CTCF), is known to regulate viral gene expression, therefore viral genome was screened for the presence of CTCF binding sites to see if they overlap the E2 binding sites. A comparison of CTCF expression within patient tonsil sections comprising normal (non-cancerous), HPV positive and HPV negative cancers may provide valuable information on the viral life cycle as well as disease progression. Chromatin Immunoprecipitation assays using primary human tonsil keratinocytes containing episomal HPV16 genomes revealed novel E2 binding sites within the viral genome. Peak binding at base pairs 4400, 4500, 5600 and 6000 was detected, however consensus E2 binding sites do not exist in this region. CTCF was observed to bind to the same regions as HPV16 E2. Further investigation revealed a physical association between E2 and CTCF suggesting that CTCF could recruit E2 to the late region of the HPV genome. In patient tumour samples high levels of CTCF expression were observed throughout the epithelium; in contrast, the pattern of CTCF expression in the normal tonsil epithelium showed high expression in the lower layers that was dramatically reduced in the differentiated layers. Interestingly increased CTCF expression was observed in all areas of HPV positive tonsil sections in comparison to HPV negative sections. This difference in CTCF expression may be associated with HPV infection and important for the viral life cycle
Exploring the Use of Data from Newer Technologies in Road Design
No full textUse of Light Detection and Ranging (Lidar) is widespread all over the world. Currently field and photogrammetric surveying are the predominant methods to acquire terrain information; however, lidar data is being increasingly used for this purpose. This research examines the usefulness of aerial and mobile lidar data for highway geometric design. Data from Unmanned Aerial Vehicles (UAV) will also be added to this analysis. This research will answer the following questions: 1) To what extent can lidar/ UAV replace traditional land surveying in road design? 2) Up until what stage of road design are data from such newer technologies acceptable
Significance of Marketing Activities in Garments Industry: A Study on Bangladesh
No full textThis study aims to investigate the importance and effect of marketing activities in the garments industry of Bangladesh. The researchers have used a structured questionnaire to collect data from seventy garments companies of Dhaka city. Descriptive statistics, one sample t test and regression analysis have been subsequently used to analyze the data. The analysis shows that product planning, pricing, promotion, distribution, market research and marketing planning related activities are important for the garments business. The regression analysis shows that importance given to pricing and importance given to promotion have significant positive relationship with the overall performance of the garments business. Keywords: RMG, Marketing, Importance, Bangladesh
Epidemiological Risk Factors and Progression of Gastrointestinal Parasitic Infestation among Food Animals of Bangladesh: A Systematic Review and Meta-analysis
No full textThe gastrointestinal parasitic infestation seems to have a substantial economic impact on the entire livestock production industry. Because of the parasites' environmental appropriateness, numerous domestic animals in Bangladesh are particularly susceptible to the infestation; however, the extent to which people are aware of the potential risk factors is debatable. Therefore, the current meta-analysis' objective is to determine the precise understanding of potential risk variables and the impact of climatological variations on five important gastrointestinal parasites: Paramphistomum species, Strongyloides species, Trichuris species, Schistosoma species, and Moneizia species. Four globally recognized databases, including Web of Science, Scopus, PubMed, and Google Scholar were screened to choose the studies published in English language from 2000 to 2020. Finally, 29 studies were selected for further analysis and recorded the maximum prevalence in Paramphistomum species (26%; 95% CI: 19-33), followed by Strongyloides species (9%, 95% CI: 5-12), Trichuris species (10%, 95% CI: 4-17), Schistosoma species (19%, 95% CI: 7-31), and Moneizia species (8%, 95% CI: 5-10); besides the overall prevalence was noted as 15% (95% CI: 11-18). Furthermore, subgroup analysis revealed that parasite infestation was most prevalent in females (21%) and the elderly animal population (14%) and the summer season (26%). To sum up, the current meta-analysis visualized the epidemiological risk factors with the overall incidence of five major parasite infestations in livestock animals in Bangladesh; hence, the government and shareholders may employ it as proof before launching any control programs or improving farmers' awareness
The Effect of Artificial Intelligence on Customer Journey in Online Retailing
No full textArtificial Intelligence (AI) is transforming and shaping the customer journey in online retail platforms by influencing how customers interact with the retailers and how effectively brands can fulfill customer’s needs. As AI tools are integrated into online retail platforms to influence customers experiences, understanding their impact on consumers behaviour and building a long-term customer relationship is necessary. This research explored the effect of AI tools, especially recommendation engines and chatbots across online customer journey: pre-purchase, purchase, and post-purchase stage. The main motivation of this study was to figure out how technological advancement can align and shape an ethical, transparent, and user-centric shopping environment. By using a qualitative research design combining an online survey and focus group discussion, this study explored customers’ perceptions on AI-driven features like personalization, interaction, trust, and ethical concern. The findings of this study revealed that AI streamline customer experience and satisfaction positively, but customers have concern about transparency, data privacy, and emotional engagement. This study offered theoretical insights into the AI’s role in shaping digital customer journey. It also offered practical insights for online retailers who want to integrate AI tools in their platform ethically and effectively
Online Efl Teaching At The University Level In Bangladesh During Covid-19 Pandemic Practices, Challenges And Coping Strategies.
No full textHistory of English language teaching in Bangladesh traces back to the colonial times, but it never had any experience of online teaching before the onslaught of COVID-19 in March 2019. The country, like many other developing countries of the world, had to shift to online mode of teaching very suddenly immediately after the rapid and wide spread of the deadly pandemic with no previous experience and without much preparation of teachers and learners. English teaching at the university level in Bangladesh also suffered serious setbacks during this period and went through massive transformations. It is important to note that as English is a priority area of education in Bangladesh, like all other English as a Foreign language (EFL), English as a second language (ESL) and English as an international language (EIL) context. There was no alternative to continuing teaching English in the online mode during the pandemic. English being an important global language used internationally for both academic and professional purposes both at home and abroad, its teaching and learning need to be continued in all situations, at all costs. The only way to do it during the pandemic was the online mode. However, for doing it effectively, it has been essential to examine the various ways of online teaching of English. As it was new, how effective online teaching of English proved, what challenges were being faced by teachers and what strategies they adopted for overcoming the challenges need close and critical examination. In the meantime, some studies have already been done on online teaching in the country during the pandemic and beyond, but no significant study has been done on the practices, effectiveness, challenges and coping strategies of teaching English with a strong theoretical back-up and scientific design
Técnicas de autenticación basadas en tokens en plataformas de código abierto en la nube
No full textCloud computing is a service-oriented computational platform that allows on-demand resource provisioning for low-cost application deployment. However, security and privacy of the users is a major concern for the cloud service provider, particularly for applications handling users personal information (health record, GPS location) or performing financial transactions. Authentication is an important security measure for establishing accountability and authorization of the users, is often a prerequisite for accessing cloud-based services. In this paper, we mainly focus on the token-based authentication techniques, supported by popular open source cloud platforms [OSCPs], like Cloudstack, OpenStack, Eucalyptus and OpenNebula. In general, most OSCPs support the basic text-based user authentication. Other techniques, such as biometrics, gesture and image, can also be implemented on OSCPs. However, in this paper, we choose to discuss the token-based authentication, as it allows users to gain access to multiple cloud services with a single sign-on (SSO). Moreover, token’s can be shared among multiple users for accessing cloud-based services.El concepto de computación en la nube hace referencia al uso de una plataforma computacional externa, orientada a servicios, que permite suministrar recursos bajo demanda, a bajo costo, para el desarrollo de aplicaciones. La seguridad y privacidad de los usuarios son preocupaciones centrales de los proveedores de este tipo de servicios, particularmente cuando las aplicaciones manejan información personal reservada (como historias clínicas o ubicación geográfica) o cuando realizan transacciones financieras. La autenticación es una importante medida de seguridad para establecer cuentas y autorizar usuarios, por ellos, es un prerrequisito para el acceso a servicios basados en la nube. Este artículo se ha enfocado en las técnicas de autenticación basadas en tokens, las cuales están soportadas por plataformas en nube de código abierto muy comunes, tales como CloudStack, OpenStack, Eucalyptus y OpenNebula. Aunque la mayoría de ellas plataformas soporta la autenticación básica de usuario basada en texto, también admiten otras técnicas, tales como el uso de características biométricas, gestos e imágenes. Se selección a las técnicas de autenticación basadas en tokens para la discusión, porque ellas le permiten a los usuarios el acceso a múltiples servicios en la nube con un único inicio de sesión, y porque los tokens pueden ser compartidos entre múltiples usuarios para el acceso a servicios basados en la nube
An Item–Item Collaborative Filtering Recommender System Based on Item Reviews: An Approach with Deep Learning
No full textItem−item collaborative filtering is a sub-type of a recommender system that applies the items’ similarities for recommending a new set of items to the user. Usually, a traditional recommender system utilizes items’ ratings given by the user for deducing their preferences for recommending items. However, for the popularity of social platforms, users are now more familiar to write textual comments known as reviews about items based on their experiences rather than giving a rating, because rating any item limits a user to manifest the degree of satisfaction towards the item. As a result, the items’ reviews become a precious source of information that could enhance the system’s performance. In this paper, a novel recommendation approach has been proposed by applying a recurrent neural network to incorporate items’ reviews with the recommender system. The recurrent neural network is a deep learning-based approach that can distribute the text to the relevant classes. Thus, the proposed approach has applied long short-term memory which is a modern formation of recurrent neural network that is applied to compute items’ rating scores from the items’ reviews. Then, the score is used to define the uniformity of items by using the Jaccard and Pearson correlation coefficient. The proposed approach has been evaluated by two familiar datasets named Yelp & Amazon datasets. Also, it is found that the proposed approach surpasses the traditional techniques and also improved the accuracy of prediction for the Yelp dataset by approximately in respect of 1.37% mean absolute error, 2.17% precision, 2.08% recall, and 2.11% f-measure. Furthermore, the proposed approach increased the recommendation performance for Amazon dataset on average in term of 1.34% mean absolute error, 2.09% precision, 2.53% recall, and 2.32% f-measure, respectively
Token-Based Authentication Techniques on Open Source Cloud Platforms
No full textEl concepto de computación en la nube hace referencia al uso de una plataforma computacional externa, orientada
a servicios, que permite suministrar recursos bajo demanda, a bajo
costo, para el desarrollo de aplicaciones. La seguridad y privacidad
de los usuarios son preocupaciones centrales de los proveedores
de este tipo de servicios, particularmente cuando las aplicaciones
manejan información personal reservada (como historias clínicas o
ubicación geográfica) o cuando realizan transacciones financieras.
La autenticación es una importante medida de seguridad para establecer cuentas y autorizar usuarios, por ellos, es un prerrequisito
para el acceso a servicios basados en la nube. Este artículo se ha
enfocado en las técnicas de autenticación basadas en tokens, las
cuales están soportadas por plataformas en nube de código abierto
muy comunes, tales como CloudStack, OpenStack, Eucalyptus y
OpenNebula.Cloud computing is a service-oriented computational platform that allows on-demand resource provisioning for low-cost application deployment. However, security and privacy of the users is a major concern for the cloud
service provider, particularly for applications handling users personal information (health record, GPS location) or performing financial transactions. Authentication is an important security measure for establishing accountability and
authorization of the users, is often a prerequisite for accessing cloud-based services. In this paper, we mainly focus on the
token-based authentication techniques, supported by popular open source cloud platforms [OSCPs], like Cloudstack,
OpenStack, Eucalyptus and OpenNebula. In general, most OSCPs support the basic text-based user authentication.
Other techniques, such as biometrics, gesture and image, can also be implemented on OSCPs. However, in this paper,
we choose to discuss the token-based authentication, as it allows users to gain access to multiple cloud services with a
single sign-on (SSO). Moreover, token’s can be shared among multiple users for accessing cloud-based services.
- …
