INVESTIGATING THE ROLE OF EMOTIONAL INTELLIGENCE IN ENHANCING CONFLICT RESOLUTION AND TEAM COLLABORATION IN MULTIGENERATIONAL WORKFORCES
The paper explores the importance of emotional intelligence (EI) in conflict-solving and effective teamwork in multigenerational workforces. As the workplace demographics continue to diversify, comprising Baby Boomers, Generation X, Millennials, and Generation Z, it is important to know how EI can help eliminate generational differences, encourage ...
By J. Prateeba Devi, R.S. Lekshmi, V. Sheela Mary, K. Rajamani
DEVELOPING THE EDU-OPT MODEL FOR STRATEGIC MANAGEMENT IN EDUCATIONAL INSTITUTION
The paper introduces a strategic management model called the EDU-OPT Model, which will help to improve the resilience of the operations of educational organizations and their financial sustainability, especially in a developing economy like Uzbekistan. The model utilizes the concepts of the Dynamic Stochastic General Equilibrium (DSGE) modeling whi...
By Sardorbek Isroilov, Kodirov Zokhid Zokirkhanovich, Akbarov Chingiz Adkhamjanovich, Sobirjonov Khumoyun Boburjon Ugli, Khusainov Ilyos Jamoliddin ugli
EXPLORING THE IMPACT OF AI-DRIVEN TALENT MANAGEMENT MODELS ON EMPLOYEE RETENTION IN INDIAN IT COMPANIES
Job dissatisfaction, lack of career growth and talent pool are also a problem in employee retention in the Indian IT industry. Traditional talent management practices fail to address the dynamic employee needs, which disengages employees, resulting in an increase in turnover cases. The paper focuses on the influence of AI-based talent management mo...
By Jagan Mohan, Arup Kumar Halder
PHILOLOGICAL METHODS IN ANALYZING NON-STANDARD VARIANTS OF LATIN IN MEDIEVAL AND RENAISSANCE MANUSCRIPTS
This research illustrates the use of philological analytical strategies to trace the Latin variants in Middle Ages and early Renaissance manuscripts. By concentrating on the variants, the investigation tries to find out how Latin changed during the period with the help of linguistic forms of the non, conformist which differ from the classical norms...
By Dinora Ibodullayeva, Nafosat Urokova, Nasiba Sabirova, Otabek Fayzulloev, Nazira Kurbanova, Qahramon Toxsanov, Zarnigor Sobirova, Nigina Aliboyeva
THE IMPACT OF SOCIAL MEDIA ON POLITICAL PARTICIPATION AND DEMOCRATIC ENGAGEMENT AMONG YOUTH IN EMERGING ECONOMIES
The study examines the revolutionary concept of social media in determining the political environment of the youth (ages 18-35) in emerging economies, whereby many traditional democratic institutions are typically challenged by structural and transparency factors. By the beginning of 2025, more than 62 % of the world population will be linked throu...
By Abduqahhor Rakhmonov, Oltinoy Masalieva, Amanlik Gulimov, Olimjon Xolov, Mardonbek Rajapov, Nodira Khodjaeva, Timur Mukhamadiev, Olimjon Gaimnazarov
A COMPREHENSIVE ANALYTICAL MODEL FOR DETECTING AND MAPPING CRIMES AGAINST WOMEN IN INDIA
Women's crimes in India are a serious social issue, and new-age solutions to their detection and prevention are essential. The article introduces an analytical model using modern data and geography tools to identify and map cases of violence against women in India. It uses several different types of sources such as police reports, social media and ...
By Aby Rose Varghese, Dr. R. Gunasundari
LANGUAGE OF MINING TECHNOLOGY EVOLUTION AND ITS ROLE IN ADVANCING ENVIRONMENTAL SUSTAINABILITY AND SAFETY STANDARDS
The research paper discusses the history of mining technology and the way it has contributed enormously to the advancement of the degree of environmental sustainability and safety in the mining industry. The paper will discuss the key technological developments in the mining sector, including automation, artificial intelligence, robotization, and e...
By Sobirjon Bazarov, Sardor Norboyev, Ulugbek Kosimov, Yayra Kasimova, Munisabonu Tursunboyeva, Lobar Bakhramova, Matyakubov Maqsad
A ROBUST MACHINE LEARNING-BASED ENSEMBLE LEARNING FRAMEWORK FOR HATE SPEECH DETECTION IN LOW-RESOURCE SOCIAL MEDIA TEXT
The low-resource social media text i.e., Urdu tweets containing hate speech are identified with the help of a machine learning-based ensemble approach. The dataset used for this study consisted of 8,800 tweets and half of them were labeled as Hateful and the other half as No-Hate. In preprocessing, we took into account the features of Urdu normaliz...
By Husnain Saleem, Muhammad Javed, Kiran Hanif, Asad Ullah, Muhammad Usman Ghani, Muhammad Waqas, Muhammad Ali Khan, Sheraz Ali Hassan
ADVANCING DIABETES PREDICTION THROUGH MACHINE LEARNING AND DEEP LEARNING MODELS USING PIMA INDIAN AND CLINICAL-BIOLOGICAL DATA
Diabetes Mellitus is a significant world health and early detection is of paramount significance since it decreases the complications and enables medical intervention in time. The paper is a comparison between the predictive accuracy of the eight Machine Learning classifiers: Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random ...
By Zeeshan Hussain, Suraiya Parveen, Ashif Khan, Ihtiram Raza, Umnah
INTERSECTION OF PHILOLOGY AND SOCIOLOGY IN ANALYZING THE LINGUISTIC LANDSCAPE OF POSTCOLONIAL NATIONS
The paper delves into the query of how philology and sociology intersect when it comes to studying the linguistic terrain of postcolonial countries. The paper will explore the functionality of language in the public spaces as a symbol of power, identity, and resistance in postcolonial settings, with a specific emphasis on the linguistic signs in th...
By Sirojiddin Nurmatov, Dildora Mamaraimova, Nargiza Akhmedova, Gullolahon Mehmonaliyeva, Mehrinoza Alieva, Feruza Shukurova, Sarvinoz Qodirova, Nilufar Abdullayeva