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

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

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

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

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

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

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

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

Micro-expressions (MEs) are involuntary facial expressions, short-lived (usually between 1/5 and 1/25 seconds), and important in the application of security, psychological tests, and forensics. The MEs are however difficult to identify because it occur quickly and also involve little movement of the muscles. The paper presents an Enhanced Micro-Exp...

By P. Surekha, P. Vidya Sagar, G. Ramesh

To solve the problems of traditional Apriori algorithm in power marketing big data processing, such as candidate item set redundancy, low single-machine computing efficiency, and difficulty in adapting to multi-dimensional time series data, this study proposes an improved Apriori algorithm that integrates Resilient Distributed Dataset (RDD) distrib...

By Fan Pan, Lingen Zhou, Lu Gan, Wei Kang, Xiaolei Li