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
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
ENHANCING SPATIAL-TEMPORAL FEATURE FUSION WITH CONVOLUTIONAL GRUS FOR BREAST TUMOR CLASSIFICATION
Even today, one of the main reasons for mortality among females is breast cancer, whose effective treatment needs earlier detection. In this work, a new methodology based on spatial-temporal Deep Learning for detecting and classifying breast tumors through the use of Convolutional Neural Networks (CNN) and Convolutional Gated Recurrent Unit (ConvGR...
By A. Aarthi, Smitha Elsa Peter
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
HYPERPARAMETER OPTIMIZATION OF DEEP NEURAL NETWORKS FOR ADAPTIVE MODULATION AND CODING IN HIGH-SPEED MILLIMETER-WAVE COMMUNICATION SYSTEMS
Adaptive Modulation and Coding (AMC) is a key principle that increases spectral efficiency, reliability, and capacity in high-data-rate mmWave wireless communication systems. But AMC strategies depend upon static threshold-based rules that generally struggle to perform well in varying channel conditions. In this study, an innovative HO-DNN architec...
By M.N. Divya, S.N. Rekha, C.S. Asha, S. Ramya, L. Lakshmaiah, J. Narendra Babu, A. Sathish
THE MEDIATING ROLE OF OCCUPATIONAL SAFETY MANAGEMENT SYSTEMS IN THE RELATIONSHIP BETWEEN ERGONOMIC DESIGN AND WORKPLACE ACCIDENTS: EVIDENCE FROM THE CONSTRUCTION INDUSTRY
It is well-known that the construction industry ranks among those industries in which there are many cases of injury and workplace accidents for workers despite the advances in the development of various safety regulations and management practices. This paper aims at examining the role of OHSMS in mediating the relationship between ergonomic design...
By I. Ketut Sutapa, I. Gede Fery Surya Tapa, I. Wayan Sujahtra, Putu Hermawati, I. Ketut Parti, I. Wayan Intara
DETERMINANTS OF FINANCIAL PERFORMANCE IN THE VIETNAMESE SECURITIES INDUSTRY USING PANEL DATA EVIDENCE FROM 80 FIRMS ACROSS MARKET TIERS
The fast-paced development of the securities industry of Vietnam led to higher competition among enterprises and the necessity to discover the factors that determine the financial performance of various market segments. There is scarce literature concerning the financial performance of small, unlisted and UpCom securities firms, as previous studies...
By Minh Tien Cao, Be Thi Thanh Loan, Truong Thị Duc Giang, Huong Tra Pham, Mai Quynh Pham, Viet Ninh Vu
COGNITIVE READINESS BASED CAMPUS PLACEMENT PREDICTION USING ANN AND SHAP
Placements at campus level are one of the most crucial events for engineering and computing students; however, institutes use simplistic cutoffs and subjective judgment methods to determine the placement status of their students. In this study, a classification system is proposed by introducing new operational cognitive readiness criteria which inc...
By Hameeda Khatoon, Chandra Prakash Vudatha