THE STRUCTURAL MODEL OF CAUSAL RELATIONSHIPS BETWEEN KNOWLEDGE MANAGEMENT ELEMENTS, ORGANIZATIONAL MEMORY, AND KNOWLEDGE ACCUMULATION AT KING ABDULAZIZ UNIVERSITY
The study was to examine the direct influence of the presence of the elements of knowledge management on the preservation of knowledge accumulation, the direct influence of the elements on the utilization of the organizational memory dimensions, and the direct influence of organizational memory on the preservation of knowledge accumulation at King ...
By Anwar Ali Alhadawi, Mohammad Jafar Arif
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
A STUDY ON THE COMPLETENESS OF PATIENT MEDICAL DOCUMENTATION BY PHYSICIANS IN MULTISPECIALTY HOSPITALS
In multi-specialty hospitals, maintaining comprehensive and accurate medical records is a mechanical necessity for high-quality care, regulatory compliance, and medicolegal protection. While physicians are the primary authors of these clinical records, a focus on care execution over documentation often leads to critical gaps in recording patient pr...
By A. Jasmin, K. Ravichandran, K. Anandhi
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
INFLUENCING FACTORS ON MIGRATION: EVIDENCE AND POLICY IMPLICATIONS FOR AN EMERGING COUNTRY
International migration from developing economies is increasingly driven by the interplay between economic incentives, social networks, and the institutional environment. The understanding of these drivers is central to policy design aimed at maximizing the benefits of labor mobility, minimizing human capital loss, and capturing positive impacts of...
By Dao Tuan Minh
ARTIFICIAL INTELLIGENCE IN AUDITING: EVALUATING THE IMPACT OF GENERATIVE AND PREDICTIVE MODELS ON AUDIT QUALITY AND EFFICIENCY
Artificial intelligence (AI) is significantly contributing to beneficial transformations in auditing by enhancing analytical capabilities, automating monotonous tasks, and refining decision-making processes. This piece of research looks into the effects of predictive and generative AI on the quality of auditing as well as its efficiency. Moreover, ...
By S. Edmund Christopher, Jaishu Antony, Zaheda Daruwala, Mahmoud Abouagwa
EFFICIENTNET-B0-BASED FRAMEWORK FOR AUTOMATED MULBERRY ROOT KNOT DISEASE CLASSIFICATION Based ON LEAF SYMPTOMS USING GRAD-CAM VISUALIZATION
The study is based on the idea of an innovative method of automated classification of mulberry root Knot diseases on the basis of the leaf symptoms through the EfficientMulberryNet-B0-GC model, which is a combination of EfficientNet-B0 and Grad-Cam visualization. The model aims to complement the lack of efficient and transparent disease detection i...
By N. Priyanka, K.G. Mohan
INTELLIGENT FINANCIAL DOCUMENT DIGITISATION AND CLASSIFICATION VIA A HYBRID ATTENTION-GUIDED DUAL PATH CNN WITH ATOMIC ORBITAL SEARCH OPTIMISATION
The financial institution uses different types of documents, including bank statements, cheques, income tax forms, salary slips, and electricity bills. Current approaches deal with either the preprocessing stage, text and feature extraction, or even classification separately and fail to perform efficiently on low-quality, handwritten, and visually ...
By Archana Lopes, Kolla Bhanu Prakash, Yu-Chen Hu
ASSESSING IFRS 15 IMPLEMENTATION EFFECTS ON REVENUE PRACTICES AND ACCOUNTING INFORMATION SYSTEMS IN UAE TELECOM COMPANIES E& AND DU
By comparing e& with du, the study examines how introducing the International Accounting Standard 15 (IFRS 15) affected revenue recognition, revenue measurement, and information systems across UAE telecommunications businesses. The comparison provides evidence from both companies. Because data lacked a normal distribution, the analysis employed...
By Ranya Riyadh Radhi, Hussein Talib Alhamada, Majid Ahmed AL Anssari