PEDAGOGICAL IMPACT OF MULTI SENSORY VIRTUAL REALITY SIMULATIONS ON HISTORICAL PERSPECTIVE TAKING AND SPATIAL UNDERSTANDING IN SECONDARY EDUCATION
The development of historical perspective-taking and spatial cognition has been a long-standing issue in secondary education, where traditional text-centred, lecture-based methods of study can hardly engage students in the complex historical environment. The paper under analysis explores the pedagogical effects of multi-sensory Virtual Reality (VR)...
By Shaxlo Xudaykulova, Ganisher Tagayev, Nozimakhon Yigitalieva, Murodjon Axmedov, Kamola Kudrat-Zoda, Ulug Tilloyev, Farrukh Saydullaev
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
RICE LEAF DISEASE DIAGNOSIS THROUGH DEEP LEARNING: AN INCEPTIONV3 APPROACH WITH SPATIAL ATTENTION FOR SUSTAINABLE AGRICULTURE AND FOOD SECURITY
This research introduces a sophisticated deep learning framework for automatically identifying diseases in rice leaves by combining the Inception V3 architecture with spatial attention mechanisms. Rice is one of the most important foods in the world, in terms of food security and agricultural economics, so the establishment of efficient disease sur...
By R. Dhanya, S. Mythili
AI AUGMENTED NEURAL FEEDBACK FOR PRECISION ACQUISITION OF NON-NATIVE PHONOLOGY IN SYNCHRONOUS DIGITAL LEARNING ENVIRONMENTS
The ongoing challenge of learning non-native phonology in the synchronous digital learning setting is a primary obstacle to intelligible pronunciation and communicative competence. Conventional online teaching is rarely accompanied by real-time, personalized corrective feedback, leading to the persistence of fossilized pronunciation errors and poor...
By Shoira Djabbarova, Tursinoy Kakhorova, Nargiza Dusmatova, Shokhsanam Tadjiboeva, Makhfuza Akhmedova, Rano Khamraeva, Xudoymurod Dusyarov
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
SYNTHESIS AND CHARACTERISTICS OF ZNO THIN FILMS DEPOSITED VIA THE SILAR METHOD: IMPACT OF THE NUMBER OF CYCLES
The successive Ionic Layer Adsorption and Reaction (SILAR) process was used to form Zinc Oxide (ZnO) thin films on glass substrates, and deposition cycles of 5, 15, 20, and 25 were used to investigate the effect of the number of cycles on the structural and optical characteristics of the film. The X-ray diffraction (XRD) was determined to be a poly...
By Anwar Qasim Ahmed, Inass Abdulah Zgair, Adel H. Omran Alkhayatt
DYNAMIC ATTRIBUTE FILTERING FOR HIGH-ACCURACY MALICIOUS ACTIVITY RECOGNITION IN CLOUD PLATFORMS
Cloud computing is a critical infrastructure to the modern digital services, which provides the ability to store data on a scale, distributed computing, and the ability to deploy services flexibly. Moreover, the high rate of cloud environment development has also contributed to the risk of malicious intrusions like the spread of malware, unauthoriz...
By Sanaboyina Madhusudhana Rao, Arpit Jain
IMPROVING DIAGNOSTIC PRECISION AND THERAPEUTIC EMPATHY IN UNDERGRADUATE PSYCHOLOGY TRAINING WITH GENERATIVE AI-DRIVEN CLINICAL PATIENT PERSONAS
The conventional undergraduate psychology programs find it challenging to offer genuine clinical exposure because of the ethical considerations, the high prices of the standardized patients, and the lack of dynamism of the written case studies. The paper addresses the idea of integrating Generative AI (GenAI)-based clinical persona as a modificatio...
By Odiljon Qobilov, Iltifotxon Abdinazarova, Saida Makhkamova, Gulbahor Kholdorova, Mokhira Kuvvatova, Komila Umarova, Gulchexrabonu Isamova
ACAPE-FID ADAPTIVE CONVOLUTION-ASSISTED POLAR ENCODER WITH FLEXIBLE ITERATIVE DECODING FOR HIGH-EFFICIENCY FPGA WIRELESS COMMUNICATION
Reliable wireless communication needs a highly efficient Forward Error Correction (FEC) technique in order to counter the effects of noise, interference, and losses. Most existing FEC techniques add too much redundancy and create extra latency, thereby reducing the efficiency of bandwidth utilization. Hence, the purpose of the current research is t...
By T. Ranjitha Devi, C. Kamalanathan
DEVELOPING CROSS-CULTURAL COMMUNICATIVE COMPETENCE IN ADVANCED LANGUAGE LEARNERS THROUGH GENERATIVE AI-BASED SOCIO-PRAGMATIC SUPPORT
This paper examines the effectiveness of Generative AI (GenAI) as a socio-pragmatic aid that can improve Cross-Cultural Communicative Competence (CCCC) in advanced language learners (N = 80). Although such learners may be highly proficient in their language, A so-called pragmatic gap may also be faced in attempts to negotiate complex social interac...
By Temur Irmuxamedov, Jahongirmirzo Maxmudov, Gulshan Ibragimova, Aziza Muminova, Alevtina Muradova, Fotima Safarova, Bayramdurdi Sapaev