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Research Paper

Evaluation of the Use of Visualizations in Data Journalism Articles on Mwananchi and the Chanzo Websites in Tanzania

This study evaluated the use of visualizations in data journalism articles on Mwananchi and The Chanzo websites in Tanzania. The study had three specific objectives: to examine the frequency of journalists’ data visualization usage; to identify the appearance of data visualizations in data-driven articles; and, to uncover the challenges journalists face in using visualizations. The study employed mixed-methods approach. Purposive sampling was used to select 59 respondents from Mwananchi and The Chanzo. The study used questionnaires and content analysis to collect data, which were analyzed using the Statistical Package for the Social Sciences (SPSS). The findings revealed that 34% of journalists rarely used data visualizations; while 25% used them occasionally; 17% used often; 16% never used; and 8% used very often. Among the 52 analyzed articles, 38% included visualizations, with Mwananchi having a slightly higher usage rate (42%) compared to The Chanzo (35%). The Findings means that still there is low usage of visualizations in most of the data articles. The study recommends comprehensive training programs to enhance journalists' data journalism skills, access to advanced visualization tools, and ongoing support to improve data-driven storytelling.

Published by: George Helahela, Camilius Nikata

Author: George Helahela

Paper ID: V10I6-1139

Paper Status: published

Published: November 4, 2024

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Research Paper

Social Media Censorship and Freedom of Expression In Tanzania. A Case of Ilala District, Dar Es Salaam

This study assessed the level of social media censorship and the freedom of expression among social media users in Ilala District, Dar es Salaam, Tanzania. The study adopts a mixed-methods approach, combining quantitative surveys with qualitative interviews to explore levels of awareness of mechanisms for managing censorship and regulatory frameworks affecting social media users. The results also revealed that concerning social media censorship, the majority of people had a different comprehension of it, where a big proportion of the respondents showed a limited understanding of the laws and policies regarding it. Results indicated that only 58% of participants were aware of the Tanzanian laws concerning social media surveillance; this represents a critical gap in knowledge. Users are reacting to censorship by self-censoring, encrypted communication, and activism. The study also emphasizes increasing public education on social media regulations and digital literacy to protect freedom of expression in an increasingly regulated online space. Such findings go toward policy development and add to the broad debate over digital rights and freedom of expression.

Published by: Inocent Msuha, Camillus Nikata

Author: Inocent Msuha

Paper ID: V10I5-1404

Paper Status: published

Published: November 2, 2024

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Research Paper

Streamlined Attendance Monitoring : Multifaced Recognition

In order to precisely discover human beings, conventional attendance structures normally depend on biometric techniques like fingerprint or iris scanning. But these systems frequently have scalability and performance problems, especially while handling large companies straight away. This research gives a novel technique to decorate attendance monitoring through using ultra-modern multi-face popularity techniques. In assessment to conventional biometric systems which are commonly restricted to unmarried user processing, our device can effortlessly control several customers immediately. It makes use of a combination of several algorithms to detect spoofing, become aware of faces, and perform excessive-precision recognition. By integrating these techniques, the system overcomes common issues associated with traditional techniques, such as false identities and unauthorized access, and provides a robust solution provide accurate and reliable attendance records This method not only provides accurate and speedy attendance tracking but also ensures the integrity of the process Becoming an ideal solution for environments that require biometric identification systems.

Published by: Makineni Saroj Vihung, Kanduri Sahith, Baddam Rithika Reddy, Samala Keerthi, Savarapu Omkaarini, Thirupathi Nanuvala

Author: Makineni Saroj Vihung

Paper ID: V10I5-1405

Paper Status: published

Published: November 1, 2024

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Review Paper

Formulation and Evaluation of Carvedilol Nanoparticles Precision for Immediate Drug Delivery

Carvedilol is a non-selective beta-adrenergic blocker and alpha-1 adrenergic antagonist used primarily in the management of heart failure, hypertension, and left ventricular dysfunction following myocardial infarction. Its dual mechanism of action not only reduces heart rate and myocardial contractility but also promotes vasodilation, enhancing overall cardiac output and decreasing systemic vascular resistance. Clinical studies demonstrate that carvedilol improves morbidity and mortality in patients with heart failure and is associated with fewer adverse effects compared to traditional beta-blockers. This medication is typically well-tolerated, but potential side effects include hypotension, dizziness, and fatigue. Ongoing research continues to explore its therapeutic applications and long-term benefits. Its unique pharmacological profile allows for simultaneous reduction in heart rate and systemic vascular resistance, resulting in improved cardiac output and hemodynamic stability. Clinical trials have demonstrated that carvedilol significantly reduces morbidity and mortality rates in heart failure patients compared to traditional beta-blockers. This project aims to evaluate the efficacy, safety, and clinical applications of carvedilol, along with its impact on patient quality of life and long-term outcomes. Carvedilol is the first beta blocker approved for treatment of all forms of congestive heart failure (mild, moderate, severe). Since its introduction, carvedilol has rapidly become the standard of care for the management of heart failure. The registration of carvedilol for heart failure treatment has broken old medical dogmas through strong scientific evidence, both preclinical and clinical. Carvedilol was approved for heart failure indication following a long and difficult saga of scientific, medical, business and regulatory issues within and outside the sponsoring company. This review of the case history of carvedilol's development in heart failure highlights the complex interpersonal, emotional, legal and political struggles that often govern and impact drug discovery and development. It also demonstrates the importance of personal and team ethics and a commitment to follow the direction of firm scientific evidence in order to overcome deeply rooted beliefs, fears and prejudices.

Published by: Omar Nassib Suleiman, Dr.Kamal Singh Rathore, Dr. Yuvraj Singh Sarangdevot

Author: Omar Nassib Suleiman

Paper ID: V10I5-1395

Paper Status: published

Published: October 30, 2024

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Research Paper

Comparative Yield Analysis of Black Pepper (Piper Nigrum L.) Genotypes of Uttara Kannada District, Karnataka

Indian black pepper fetches a premium price in major international spices markets because of its intrinsic quality. But the continuous use of low yielding cultivars, non-availability of planting materials, losses due to biotic and abiotic stresses and also non adoption of appropriate agronomic practices are some of the prominent factors contributing to lower productivity of black pepper in India. There is no reliable information on the availability of improved local genotypes of Uttara Kannada district for the arecanut based mixed system of cultivation in Karnataka. However, some of the superior genotypes are believed to be high yielders with superior quality and tolerant to drought situation, pest and diseases, that may be available in the farmers fields. In this connection present experiment conducted at Uttara Kannada district of Karnataka using 52 genotypes. Among the genotypes, green pepper yield per vine was the highest in Panniyur 1 and was on par with the genotypes viz., SV 11, SV 7 and Kudure Bala. Whereas, maximum dry pepper yield per vine was recorded by the genotype SV 11 and was on par with genotype Kudure Bala, national check var. Panniyur 1 and SV 7. However, the highest recovery of black pepper was observed in farmer variety Sigandini (37.74 %) and was at par with the genotypes Magod Jaddi, Kudure bala, SV 11, Sambar Dadiga, Kari Dadiga, Havali Special and Kurimale compared to national var. Panniyur 1

Published by: Sudheesh Kulkarni, N K Hegde, Laxminarayan Hegde, Vijayakumar Narayanpur, Mukesh Chavan, Sadananda G K, Prashantha A, Mahantesh Naika

Author: Sudheesh Kulkarni

Paper ID: V10I5-1385

Paper Status: published

Published: October 27, 2024

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Research Paper

User-Friendly Data Migration: An Integrated GUI Tool For Different Excel Formats to PostgreSQL Database Conversion

The exponential growth of data in various formats has necessitated efficient methods for data management and integration into relational databases. Traditional approaches to importing data from Excel and CSV files into PostgreSQL can be cumbersome and time-consuming, often requiring intricate coding or manual input. This paper introduces a user-friendly graphical user interface (GUI) application that automates the import process, thereby addressing these challenges. The application allows users to effortlessly select folders containing multiple data files, streamlining the data ingestion process. By employing Python libraries such as Pandas and SQLAlchemy, it facilitates seamless data transfer while ensuring data integrity. Significant benefits include enhanced productivity through automation, reduced human error, and improved accessibility for users with varying technical skills. Ultimately, this tool not only simplifies the workflow for researchers and data analysts but also emphasizes the growing need for effective data handling solutions in an increasingly data-driven world

Published by: Sushil Chandra, Rajeev Sonkar, Pragati Srivastava

Author: Sushil Chandra

Paper ID: V10I5-1371

Paper Status: published

Published: October 27, 2024

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