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
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
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
HYBRID WHALE-GREY WOLF OPTIMIZER FOR ADAPTIVE CLUSTER HEAD SELECTION AND ENERGY CONSERVATION IN WIRELESS SENSOR NETWORKS
WSNs are critical to the contemporary IoT and monitoring, yet the energy constraint, inefficient performance of cluster head (CH) selection, and fluctuating routing diminish the network lifetime and reliability. This paper will introduce a solution to these issues by proposing a Hybrid Whale -Grey Wolf Optimizer (HWGWO) to select the adaptive and e...
By K. Chandrasekhar, G. Prabakaran, P. Dileep Kumar Reddy
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 WELL-BEING, SYMBOLISM, AND ERGONOMIC ASPECTS OF ROCK ART AND NATURAL SHELTERS
Among the most important aspects of the cultural heritage of mankind, rock art and natural shelters have both aesthetic and practical purposes, as well as help to improve the psychological state, symbolic communication, and ergonomics. The paper examines rock art and natural shelters in three major frames, namely: (1) their symbolic and psychologic...
By Mehmet Sarıkahya, Serap Paçal, Ersan Sarikahya
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