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
INVESTIGATION INTO THE OPTIMAL THERMAL EFFICIENCY OF A POROUS MEDIUM INSIDE A DUCT CONTAINING GLASS BEADS
In the current experimental study, a rectangular channel packed with a porous medium is used to study the thermo-hydraulic performance of a forced convection air heater. In addition to heat transfer enhancement, various experimental setups (Works 1 to 4) have been used to investigate the combined effects of the disruption of the thermal boundary la...
By Mohammed Z. Hameed, Musa Weis Mustafa
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
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
EXPLORING DRIVERS OF AI ADOPTION IN PERFORMANCE MANAGEMENT SYSTEM: A COMPREHENSIVE REVIEW
The rise of AI technology has greatly transformed the traditional PMS and improved its effectiveness and reliance on data in HRM. This study mainly aims to identify the essential variables determining the implementation of AI in PMS, including the benefits, ethics, challenges, and impacts. The descriptive research methodology was used by means of a...
By K. Nivethaa, Annie Sam
ASSESSING THE ROLE OF ETHNOPSYCHOLOGICAL DIMENSIONS IN WORK–FAMILY BALANCE AMONG TECHNICAL ORGANIZATION
The balance between occupational pressures and family obligations continues to be a consistent issue in technical organizations because of their highly scheduled structure, shifts in production systems, and command organization culture combined with deep-rooted cultural traditions. This research focuses on the effect of ethnopsychological character...
By Olmosbek Eshmuradov, Salim Doniyorov, Shohida Jumayeva, Nigora Turaeva, Muxayyo Karimova, Kamola Sadirova, Gavhar Mengliyeva
A BIOMEDICAL ASSESSMENT FRAMEWORK FOR EVALUATING ADAPTIVE PERSONALITY POTENTIAL AS AN INDICATOR OF ADDICTION REHABILITATION OUTCOMES
It is still very hard to predict addiction rehabilitation outcomes at the time of admission since current methods of evaluation do not recognize the interconnection between an individual's biomedical state and personality functioning. In this paper, Introduce Biomedical Assessment Framework for Evaluating Adaptive Personality Potential (BAF-APP), w...
By Nodira Makhkamova, Laylo Juraeva, Umurzak Jumanazarov, Mamuraxon Umaralieva, Mahfuza Sangirova, Nilufar Karimova, Fotima Gazieva
HYBRID FEATURE DESCRIPTORS WITH RESNET-BASED CLASSIFIERS FOR FAST TEXTILE FABRIC DEFECT DETECTION USING NOVEL HYBRID FEATURE EXTRACTION ALGORITHM
The detection of fabric defects through automation is important for ensuring the quality of the textile material because traditional detection methods are not only very time-consuming but also subjective and cannot be applied during the process of production. The traditional models that use techniques of image processing and deep learning have vari...
By Deepti Patil, Ambika
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
MULTILINGUAL XLM-R FOR MENTAL HEALTH SIGNAL DETECTION IN LOW-RESOURCE TAMIL LANGUAGE THROUGH CROSS-LINGUAL AND BILINGUAL LEARNING
Mental-health NLP (Natural Language Processing) remains strongly English-centric, limiting language-inclusive digital health technologies for low-resource languages such as Tamil. This study investigates whether multilingual representation learning can transfer a specialised mental-health classification task to Tamil and whether bilingual English&n...
By Deivanai Gurusamy, Midhunchakkaravarthy Janarthanan