IMPROVING DIAGNOSTIC PRECISION AND THERAPEUTIC EMPATHY IN UNDERGRADUATE PSYCHOLOGY TRAINING WITH GENERATIVE AI-DRIVEN CLINICAL PATIENT PERSONAS
The conventional undergraduate psychology programs find it challenging to offer genuine clinical exposure because of the ethical considerations, the high prices of the standardized patients, and the lack of dynamism of the written case studies. The paper addresses the idea of integrating Generative AI (GenAI)-based clinical persona as a modificatio...
By Odiljon Qobilov, Iltifotxon Abdinazarova, Saida Makhkamova, Gulbahor Kholdorova, Mokhira Kuvvatova, Komila Umarova, Gulchexrabonu Isamova
DEVELOPING CROSS-CULTURAL COMMUNICATIVE COMPETENCE IN ADVANCED LANGUAGE LEARNERS THROUGH GENERATIVE AI-BASED SOCIO-PRAGMATIC SUPPORT
This paper examines the effectiveness of Generative AI (GenAI) as a socio-pragmatic aid that can improve Cross-Cultural Communicative Competence (CCCC) in advanced language learners (N = 80). Although such learners may be highly proficient in their language, A so-called pragmatic gap may also be faced in attempts to negotiate complex social interac...
By Temur Irmuxamedov, Jahongirmirzo Maxmudov, Gulshan Ibragimova, Aziza Muminova, Alevtina Muradova, Fotima Safarova, Bayramdurdi Sapaev
NEURO EMOTIONAL INTELLIGENCE AS A FRAMEWORK FOR UNDERSTANDING LEADERSHIP PERFORMANCE IN STRESSFUL WORKPLACES
Organizational leaders increasingly need to be able to remain effective at making decisions, controlling their emotions, and being productive with other people, even in times of increased scrutiny. While emotional intelligence has been studied extensively, there has been very little empirical research on how the integration of neuro-emotional capab...
By Majo George, R.S. Lekshmi, V. Sheela Mary, G. Nirmala, M. Amaravathi
A UNIFIED HIERARCHICAL TEMPORAL–GRAPH PHYSICS-GUIDED FUSION NETWORK FOR JOINT FAULT PREDICTION AND CYBER–PHYSICAL INTRUSION DETECTION IN ROBOTIC ARMS
The robotic arms deployed in contemporary Industry 4.0 systems are becoming more and more dependent on interconnected sensors, controllers, and information-driven smartness to accomplish more intricate manufacturing activities. Although predictive techniques of maintenance have enhanced the ability to detect mechanical failures, the systems are sus...
By Balaji Periasamy, P. Rajalakshmy, R. Madhanraj
EVALUATION RATIO OF SHEET PILE LENGTH AND DISTANCE EFFECTS SEEPAGE BENEATH CONCRETE DAMS USING SOFTWARE
Seepage through concrete dams plays an important role in the stability of the foundations due to the fact that high uplift pressures and exit gradients can cause piping, erosion, and ultimately the collapse of the structure. This research focuses on the effect of the position and the depth of the sheet piles on seepage in concrete dams employing a ...
By Alaa Mohsin Dawood, Noor Hashim Abd Almunaf, Hawraa Khalid Hannon, Furqan Wahhab Abdulsada, Melak Haider Almosawy
SELF-ADAPTIVE COGNITIVE AI AGENT FRAMEWORK FOR PERSONALIZED ENGLISH SKILL DEVELOPMENT THROUGH CONTINUOUS LEARNER BEHAVIOUR MODELLING
The current teaching method of foreign languages is more and more adopting the method of using intelligent software to observe the learner's behavior and adapt teaching methods accordingly, but the teaching software currently used in the field of English learning still has many limitations such as relying on rigid rule sets or single-pass learning ...
By Zebo Botirova, Gulnoza Oybekova, Muzayyamkhon Zokirkhonova, Maftuna Rakhmatova, Feruza Erkulova, Rasulbek Ergashev
APPLICATION OF NEURO-SYMBOLIC KNOWLEDGE MINING FOR CUSTOMER BEHAVIOR ANALYSIS AND STRATEGIC CRM DECISION-MAKING
Rapid development of digital platforms has led to an abundance of data collected from customers, necessitating the use of intelligent methods that can be used to analyze behavior patterns and aid in making effective Customer Relationship Management (CRM) decisions. Current CRM artificial intelligence systems mainly aim at high prediction accuracy a...
By Reem Abdalla, H Niroshini Infantia
ANALYZING AND PRIORITIZING HEALTHCARE SERVICE PERFORMANCE IN HOSPITALS USING SERQUAL MODEL
Health care is essential for both public welfare and national growth. Nevertheless, the number of hospitals has increased; patients still face many problems highlighting the need for better healthcare services. The Present study aims to analyze the quality of healthcare services in view of patients’ fulfillment and identify their requirements...
By Abdul Z. Hameed, R. Balamurugan, Ali Rizwan, Muhammad Atif Shahzad
THE IMPACT OF POLICY INTERVENTIONS ON WUA EFFICIENCY IN BUNDELKHAND: A DEA EVALUATION
Water efficiency in agriculture is a crucial measure of how effectively farmers use their most vital resource. In practical terms, it reveals how much applied water actually nourishes crops versus being lost to evaporation or runoff. In the Bundelkhand region of Uttar Pradesh, India, where water is incredibly scarce, making every drop count is cruc...
By Aakanksha Rawat, Mukul Kulshrestha
SMART MUSEUM TECHNOLOGIES AND THEIR ROLE IN PROMOTING TECHNICAL UNDERSTANDING OF INDUSTRIAL HISTORY
New smart museums, integrating technologies like augmented reality (AR), virtual reality (VR), interactive kiosks, Internet of Things (IoT) devices, and AI tools, mark a departure from treating industrial history as a passive archival medium. The incorporation of these technologies allows for a shift from passive learning to actively experiencing h...
By Umidbek Abdalov, Nilufar Rajabova, Rufat Karimov, Zafar Khasanov, Rukiya Ashurbayeva, Mamlakat Xonnazarova, Dilshod Khamidov, Dilfuza Abdullayeva