PEDAGOGICAL IMPACT OF MULTI SENSORY VIRTUAL REALITY SIMULATIONS ON HISTORICAL PERSPECTIVE TAKING AND SPATIAL UNDERSTANDING IN SECONDARY EDUCATION
The development of historical perspective-taking and spatial cognition has been a long-standing issue in secondary education, where traditional text-centred, lecture-based methods of study can hardly engage students in the complex historical environment. The paper under analysis explores the pedagogical effects of multi-sensory Virtual Reality (VR)...
By Shaxlo Xudaykulova, Ganisher Tagayev, Nozimakhon Yigitalieva, Murodjon Axmedov, Kamola Kudrat-Zoda, Ulug Tilloyev, Farrukh Saydullaev
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
AI AUGMENTED NEURAL FEEDBACK FOR PRECISION ACQUISITION OF NON-NATIVE PHONOLOGY IN SYNCHRONOUS DIGITAL LEARNING ENVIRONMENTS
The ongoing challenge of learning non-native phonology in the synchronous digital learning setting is a primary obstacle to intelligible pronunciation and communicative competence. Conventional online teaching is rarely accompanied by real-time, personalized corrective feedback, leading to the persistence of fossilized pronunciation errors and poor...
By Shoira Djabbarova, Tursinoy Kakhorova, Nargiza Dusmatova, Shokhsanam Tadjiboeva, Makhfuza Akhmedova, Rano Khamraeva, Xudoymurod Dusyarov
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
DYNAMIC ATTRIBUTE FILTERING FOR HIGH-ACCURACY MALICIOUS ACTIVITY RECOGNITION IN CLOUD PLATFORMS
Cloud computing is a critical infrastructure to the modern digital services, which provides the ability to store data on a scale, distributed computing, and the ability to deploy services flexibly. Moreover, the high rate of cloud environment development has also contributed to the risk of malicious intrusions like the spread of malware, unauthoriz...
By Sanaboyina Madhusudhana Rao, Arpit Jain
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