GRAPH-BASED METHODS FOR EXTRACTIVE ARABIC NEWS TEXT SUMMARIZATION
The speed of the increasing digital content requires the creation of successful Automatic Text Summarization (ATS) systems. Although major improvements have been made in the summarization of high-resource languages, the summarization of Arabic texts has not been effectively studied, especially in terms of comparative studies of preprocessing method...
By Rasha Almutairi, Sahar Jambi, Tawfiq Hasanin
CROSS DOMAIN LATENT SPACE ALIGNMENT FOR ZERO SHOT KNOWLEDGE TRANSFER IN LARGE SCALE NEURO SYMBOLIC FOUNDATION MODELS
The large-scale adoption of neuro-symbolic foundation models poses a critical challenge: zero-shot knowledge transfer is hindered by mismatches in latent distributions, modality heterogeneity, and discrepancies between symbolic and neural representations. In the following paper, a Cross-Domain Latent Space Alignment (CDLSA) framework will be propos...
By Alijon Anvarov, Jonibek Berdikulov, Azizjon Begaliev, Zulxumor Djurayeva, Khaydar Kamilov, Soniya Islyamova, Guzal Ergasheva
IMPACT OF DECENTRALIZED BLOCKCHAIN BASED CREDENTIALING ON LEARNER AUTONOMY AND EPISTEMIC AGENCY IN GLOBAL DIGITAL EDUCATION SYSTEMS
The rapid development of digital learning technologies has raised concerns about credential fraud, centralized data, restricted learner mobility, and limited epistemic agency. Traditional credentialing systems, generally organised by universities, accreditors, and centralised systems, restrict students' autonomy by lacking ownership, portability, a...
By Surayyo Sanayeva, Gulchehra Meliqozieva, Gavkhar Tursunova, Elvira Tadjikhodjaeva, Feruz Ganjiev, Surayyo Eshboyeva, Ashur Yaxshiyev
MLA: INTELLECTUAL DUAL KEY-BASED NODE AUTHENTICATION WITH MASTER LINKED AUDITOR NODE BEHAVIOUR-BASED MALICIOUS NODE DETECTION FOR SECURE DATA TRANSMISSION IN 6G ENABLED WSN
This study focuses on the ever-increasing challenge of ensuring the integrity of Sixth Generation (6G) enabled Wireless Sensor Networks (WSNs), which are highly vulnerable to malicious node attacks, thereby compromising network data integrity and efficiency. Conventional methods of cryptography do not necessarily resist advanced attacks like select...
By Pavan Vamsi Mohan Movva, Radhika Rani Chintala
QUICK COMMERCE AND THE NEW DIGITAL DIVIDE: ASSESSING ITS IMPACT ON FINANCIAL INCLUSION IN URBAN INDIA
Based on an analysis of the mediating impact of digital literacy, platform accessibility, and digital ecosystem trust, this paper examines the impact of quick commerce (q-commerce) on financial inclusion in urban India. Reliability analysis, correlation analysis, multiple regression analysis, and parallel mediation analysis were used using survey d...
By P Hameem Khan, P. Muni Sravan Kumar Reddy, R. Aravind, G. Nagaraju, N. Pavani, E. Sathiya Priya
THE MEDIATING ROLE OF HOUSEHOLD EXPENSE REDUCTION IN THE RELATIONSHIP BETWEEN SUBSIDIZED POLICE CANTEEN AND SAVINGS BEHAVIOUR
The presence of subsidized welfare systems is also major determinants of household fiscal behaviour, especially among uniformed employees like police officers, whose choices about finances are determined by organized income distributions and professional limitations. This paper explores how subsidized police welfare canteens affect the financial be...
By M. Manoj Kumar, B. Devamaindhan, Y. Aysha Fathima, S. Akila, R. Gayathri
DIGITAL PLAY FOR A SUSTAINABLE FUTURE: ENGAGING PRESCHOOLERS WITH BEACH LITTERING AWARENESS THROUGH MOBILE GAME INTERVENTION
Beach ecosystems are important to biodiversity, tourism and coastal livelihoods yet are also facing the growing threat of plastic pollution and marine litter. Although the world has been working towards ensuring sustainability, young children especially the preschoolers are a group that is not fully addressed in terms of environmental education. Th...
By Ellena John, Lim Chen Kim
UTILIZING GENERATIVE AI CLINICAL PATIENT PERSONAS FOR ENHANCING DIAGNOSTIC ACCURACY AND THERAPEUTIC EMPATHY IN UNDERGRADUATE PSYCHOLOGY TRAINING
There is frequent conflict between diagnostic rigor and therapeutic empathy training in psychology undergraduates because students rarely encounter a variety of complex clinical presentations. This research investigates the usefulness of applying generative artificial intelligence (AI) clinical patient persona (GPT-4) by OpenAI to improve diagnosti...
By Mokhitabon Komilova, Go‘yoxon Yakubova, Shoxista Xolmurotova, Azizbek Mukhamedov, Umida Djalilova, Aliya Kadirbaeva, Bobur Juraev
METAHEURISTIC-BASED OPTIMIZATION OF COMPOSER DEEP LEARNING MODELS FOR SEPSIS PREDICTION AND CLASSIFICATION
Heterogeneous, high-dimensional, and complex clinical data have remained a key challenge for early sepsis detection in intensive care units. This paper introduces a Hybrid GAP-HMSOA-GNN-COMPOSER architecture that incorporates a graph-based relational model and metaheuristic optimization to learn and generate accurate, reliable sepsis predictions. T...
By K. Sameera, P. Amudhavalli
HUMAN RESOURCES PRACTICES AND EMPLOYEE RETENTION IN LEBANON EXPLORING MOTIVATION AND JOB SATISFACTION IN GENERATIONS Y AND Z
This study examines the influence of HR practices on the rate of retention among Generation Y and Generation Z employees in Lebanon. This is accomplished via intrinsic motivation and job satisfaction, which serve as two critical mediating factors. The data were gathered through an online survey involving 906 participants, divided equally into Gener...
By Walaa Riachy, Mario Sassine, Satya Subrahmanyam