SYMPHONY OF THE SEAS: UNVEILING METAGENOMIC BIODIVERSITY THROUGH 16S rRNA IN THE RED SEA
The Red Sea is the habitat of rare microbial communities that have evolved in extreme environmental conditions, but their potential for antibiotic production has not been fully explored. The aim of the study was to examine the distribution and diversity of antibiotic-producing bacteria and actinomycetes in the six sites (A1-A6) of the Saudi Arabian...
By Nourah Alzahem, Maged A. Al-Garadi, Arunachalam Chinnathambi, Saleh H. Salmen, Milton Wainwright, Sulaiman Ali Alharbi
THE INFLUENCE OF SOCIAL MEDIA ADVERTISING ON CONSUMER BUYING BEHAVIOUR: A STUDY OF URBAN MILLENNIALS WITH REFERENCE TO THE E-COMMERCE INDUSTRY
The proposed research explores the effects of social media advertisement on consumer purchasing behavior in the Indian e-commerce market among urban millennials. It was done in a quantitative and explanatory manner where primary data was gathered on 372 millennials in Bengaluru, as frequent users of e-commerce websites such as Amazon, Flipkart, Myn...
By C. Nandan, Suresh Ranganathan, Karthik Reddy, S. Ramesh Babu, M. Krishnamoorthi, Venkata Raghu Babu Nallamalli, S. Mahabub Basha
EXPLORING THE IMPACT OF INFLUENCER REPUTATION ON ONLINE PROSOCIAL BEHAVIOUR: THE SEQUENTIAL MEDIATING ROLES OF PARASOCIAL INTERACTION AND PERCEIVED HOMOPHILY
This study investigates how the reputation of social media influencers affects online prosocial behaviour, focusing on the sequential mediating roles of parasocial interaction and perceived homophily. Grounded in Source Credibility Theory, Parasocial Interaction Theory, the Similarity-Attraction Paradigm, and Social Cognitive Theory, the research a...
By N. Dhivya Lakshmi, Vijayakanthan Selvaraj
LEXICOGRAPHIC BI-OBJECTIVE OPTIMIZATION FOR FRACTIONAL ORDER CONTROLLER TUNING IN GRID-CONNECTED STATCOM APPLICATIONS
Static Synchronous Compensators (STATCOMs) require precise controller tuning to maintain voltage stability in modern power grids. Fractional Order Proportional-Integral (FOPI) controllers offer enhanced flexibility over integer-order designs, yet existing tuning methods rely on weighted-sum formulations that conflate conflicting objectives through ...
By Rafid Ali Ridha Ibrahim, Anuar Mikdad Muad, Yushaizad Yusof
A STUDY ON NEUROPEDAGOGICAL FOUNDATIONS AND DIDACTIC APPROACHES FOR DEVELOPING EMOTIONAL COMPETENCE IN PRE-SERVICE TEACHERS
The growing awareness of emotional competence as a key professional skill for effective teaching stands in stark contrast to the prevailing priorities of cognitive and disciplinary knowledge acquisition in early teacher training programs. The paper explores the neuropedagogical dimensions of emotional competence and outlines didactic practices comp...
By Dilshoda Mubarakova, Dildor Eshmuratova, Sanobar Shadmanova, Nilufar Khodjaeva, Zulfiya Mamarajabova, Bahodir Kandov, Aynura Bekjanova
EMPLOYING AI TECHNOLOGIES IN PUBLIC RELATIONS: A COMPARATIVE STUDY OF THE PERSUASIVE IMPACT OF HUMAN PRACTITIONERS AND CHATBOTS ON THE AUDIENCE
Artificial intelligence chatbots have become more popular for PR communication purposes, but there is not much data available about their persuasive abilities relative to human PR communication professionals in various forms of communication. A descriptive comparative research methodology was used in this study in order to measure the perceptions o...
By Ali Muhanad Hamid, Aqeel Tahseen Fathalla, Osamah Kareem Rasheed, Raya Qahtan Ahmed
PREDICTING INVESTMENT PREFERENCES FOR GOLD AND REAL ESTATE AMONG INDIAN SALARIED EMPLOYEES USING GRAPH NEURAL NETWORKS
The decisions made in investing among salaried individuals are guided by financial objectives, risk appetite, and demographics, with gold and real estate continuing to be some of the most favored ones in India. In this study, investment preference for gold and real estate among salaried individuals in India and a prediction model for predicting pre...
By Twinkle, S Nazim Sha
SELF-ADAPTIVE COGNITIVE AI AGENT FRAMEWORK FOR PERSONALIZED ENGLISH SKILL DEVELOPMENT THROUGH CONTINUOUS LEARNER BEHAVIOUR MODELLING
The current teaching method of foreign languages is more and more adopting the method of using intelligent software to observe the learner's behavior and adapt teaching methods accordingly, but the teaching software currently used in the field of English learning still has many limitations such as relying on rigid rule sets or single-pass learning ...
By Zebo Botirova, Gulnoza Oybekova, Muzayyamkhon Zokirkhonova, Maftuna Rakhmatova, Feruza Erkulova, Rasulbek Ergashev
AESTHETICISM BETWEEN KNOWLEDGE & EXPERIENCES IN ARCHITECTURAL EDUCATION
One of the essential aspects of education in architecture is aesthetic knowledge, which impacts creativity, the thinking process, and the evaluation of architectural quality. However, not many empirical studies were carried out in order to understand the development of aesthetic knowledge for architecture students of various levels. The current stu...
By Mayyadah L Abdulwahhab, Noor A. M. Aalhashem, Hiba Salih Meften, Ashwaq Fadhel Muhkaber Alomari
APPLICATION OF NEURO-SYMBOLIC KNOWLEDGE MINING FOR CUSTOMER BEHAVIOR ANALYSIS AND STRATEGIC CRM DECISION-MAKING
Rapid development of digital platforms has led to an abundance of data collected from customers, necessitating the use of intelligent methods that can be used to analyze behavior patterns and aid in making effective Customer Relationship Management (CRM) decisions. Current CRM artificial intelligence systems mainly aim at high prediction accuracy a...
By Reem Abdalla, H Niroshini Infantia