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Stem Cell Engineering in Alzheimer’s Disease

Alzheimer's disease (AD) is a devastating neurodegenerative disorder marked by cognitive decline, neuronal loss, and the accumulation of amyloid plaques and tau tangles. Despite decades of research, effective treatments remain limited, primarily addressing symptoms without halting disease progression. Stem cell engineering offers a novel therapeutic approach with the potential to repair damaged neurons, modulate the immune response, and clear toxic protein aggregates. This review explores advances in the use of stem cells for developing disease-modifying treatments for AD. In this paper, the challenges and barriers to stem cell engineering for AD have been discussed despite the encouraging results from the preclinical and early clinical studies. With continued research and refinement, stem cell engineering holds significant promise for transforming AD treatment. However, further studies are needed to optimize delivery methods, mitigate risks, and fully unlock the potential of this innovative approach. The future of Alzheimer's therapy may lie not only in managing symptoms but also in repairing the brain itself through advanced stem cell technologies.

Published by: Jiya Doshi

Author: Jiya Doshi

Paper ID: V10I6-1332

Paper Status: published

Published: November 28, 2024

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Review Paper

Thematic Analysis of Intimate Partner Violence (IPV) Coverage in Habari Leo and Mwananchi Newspapers: A Review of Stories from January to December 2023

The study examined the thematic focus of intimate partner violence (IPV) stories in the Habari Leo and Mwananchi newspapers throughout 2023, utilizing a quantitative content analysis of 196 newspaper issues. Guided by the Agenda Setting Theory and Framing Theory, the analysis revealed that physical violence is the most frequently reported theme, appearing in 28% of the coverage. Emotional and psychological violence followed at 23%, indicating a growing awareness of its impact, while sexual violence accounts for 19%. Economic and financial abuse was mentioned in 13% of instances, showing an emerging understanding of its implications. Conversely, domestic homicides were covered only eight times (8%), suggesting these severe incidents may be underreported. Other forms of IPV, such as violence during pregnancy and cyber abuse, received minimal attention, highlighting areas that require greater media focus. The findings emphasize the dominance of physical and emotional violence in media narratives while underscoring the need for increased awareness of all IPV forms in Tanzanian society. The study recommends that newspapers enhance coverage of underreported IPV themes, ensure consistent reporting, improve the portrayal of victims and perpetrators, expand discussions on cyber abuse, and collaborate with stakeholders for awareness campaigns.

Published by: Agnes Aggrey Mbapu, Dr. Francis Xavier Ng' Atigwa

Author: Agnes Aggrey Mbapu

Paper ID: V10I6-1319

Paper Status: published

Published: November 26, 2024

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Research Paper

Contribution of Artificial Intelligence Technology in Enhancing Organizational Communication Efficiency at Muhimbili University of Health and Allied Sciences

In 2022, the Tanzanian government made strides in Artificial Intelligence (AI) by establishing an AI laboratory in the capital city of Dodoma, focusing on healthcare, agriculture, and other initiatives. In recent years, the integration of AI technology in information systems has increasingly influenced organizational communication practices, with higher learning institutions experiencing a remarkable adoption of AI in learning. This study aimed to investigate the contribution of AI in organizational communication at Muhimbili University of Health and Allied Sciences (MUHAS), with a particular focus on its current applications, impact on communication roles, and ethical implications. The study employed a descriptive quantitative design involving surveys distributed to students and staff to assess AI usage, effectiveness, and ethical concerns. Data were analyzed through descriptive statistics and regression analysis. Findings show that 78% of respondents acknowledged AI technologies, such as chatbots and virtual meeting platforms, significantly improving organizational communication efficiency and accessibility. However, 45% raised concerns about data privacy and transparency with the use of AI. At the same time, AI-enhanced communication at MUHAS, data security and ethical challenges require attention. The study recommends expanding AI usage, improving data security, and providing training on the ethical application of AI in communication.

Published by: Gladness Emmanuel Malimi, Camillus Aron Nikatan

Author: Gladness Emmanuel Malimi

Paper ID: V10I6-1318

Paper Status: published

Published: November 26, 2024

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Research Paper

Phishing Web Detection using Machine Learning Technique

Everyone is addicted to the internet these days. All of us have made reservations, recharged, shopped, and banked online. Phishing is a type of online threat to websites. Phishing, according to the original website, is an illegal attempt to collect information such as a credit card number, login ID, and password. We presented a successful machine learning-based phishing detection technique in this research. Overall, the experimental findings demonstrated that the suggested method performs best when used in combination with support vector machine classifiers, detecting 95.66% of phishing attempts and matching websites with just 22.5% of novel functionality. When compared to many popular phishing datasets from UCI's repository, the suggested method yields encouraging results. For machine learning-based phishing detection, the suggested method is, therefore, the one that is favoured and utilized.

Published by: Samiksha Sachin Karanjkar, Shruti Jadhav, Vrushali Pimpale, Rahul Navale

Author: Samiksha Sachin Karanjkar

Paper ID: V10I6-1316

Paper Status: published

Published: November 26, 2024

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Research Paper

Ingredients for Transforming from Wild to a Workable Multigenerational Team!!!An Appraisal Study

The objective of this paper is to exhibit the study of the work variables influenced by multigenerational diversity and to understand how the cohorts would respond to them. An initial independent examination of the characteristics of the generation cohorts and work variables was done. A detailed listing of work variables followed by classifying them on the basis of their impact was done. The work variables are classified as Organizational, Group and Individual variables, which are highly influenced by multigenerational diversity. This paper intends to bring out the study done on the group category of work variables, which have affected the manner in which the team cohorts had reacted thereby inducing a sequel of events. The researcher collected data from secondary sources and through interviews among IT Project managers of large, medium and small projects and arrived at the identification of the work variables that are influenced by multigenerational diversity.

Published by: Ranjana Magdalene, Dr. K Chitra

Author: Ranjana Magdalene

Paper ID: V10I6-1313

Paper Status: published

Published: November 25, 2024

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Review Paper

AI-Powered Talent Acquisition Platform

Recruitment processes are frequently inefficient and time-intensive, often plagued by manual resume screening, mismatches between candidates and jobs, and delays in scheduling interviews. This paper discusses the creation of an AI-driven Talent Acquisition Platform that incorporates Generative AI technologies to transform recruitment practices. The platform automates key functions such as extracting candidate information, accurately matching resumes with job descriptions, optimizing the onboarding process, and facilitating efficient interview scheduling. The integration of GEN AI models also offers real-time analytics to deliver actionable insights. This study examines how these advancements improve recruitment precision, decrease the time-to-hire, and enhance the overall hiring experience for both employers and job seekers. The paper provides a detailed look at the platform's system architecture, implementation strategies, and performance metrics, with a focus on scalability, data security, and user interaction.

Published by: Srushti Ganar, Prof. Pooja More, Anuja Birajdar, Pragati Birhade

Author: Srushti Ganar

Paper ID: V10I5-1356

Paper Status: published

Published: November 25, 2024

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