Volume 14 | Issue 4 |

 Abstract

This study investigates the impact of transformational leadership on organizational change management, with Artificial Intelligence (Al) and open communication serving as moderating. variables. Drawing on structured survey of 58 respondents comprising HR professionals, managers, team leaders, and employees from technology and Al-driven organizations, the research. employs a descriptive quantitative design using five-point Likert scale. Descriptive statistical analysis reveals strong consensus across all 20 survey items, with mean scores ranging from 4.02 to 4.50, confirming that respondents across age, educational, and experience groups perceive transformational leadership as central to successful change outcomes. The findings support all three research hypotheses: (H1) transformational leadership positively influences change management success; (H2) ethical Al adoption strengthens leadership effectiveness during change; and (H3) open internal communication reduces employee resistance to change. The study concludes with theoretical and practical implications for organizational practitioners seeking to integrate leadership development with digital transformation strategies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transformational leadership, Change management, Artificial intelligence, Open communication, Organizational adaptability, Digital transformation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is a highly sensitive task in the treatment of the early stages and the provision of the treatment as the CT scan showed the presence of the tumors in the kidneys. Human hands can screen and categorize kidney tumors, therefore, subject to errors and wastage of time, computerized systems should be incorporated to make sure that the process has been improved to be effective and to achieve better results. The article recommends an efficient architecture of the deep learning i.e. the integration of the Transformer networks with the 3D Convolutional Neural Networks (CNNs) to increase the percentage of kidney tumor detection. The system rests upon the diversity of the available trained models i.e., DenseNet121, ResNet101, VGG19, InceptionV3, GoogleNet and MobileNet, to get features. In order to achieve classification, Fuzzy Neural Network (FNN), and Generalized Fuzzy Neural Network (GFNN) is implemented in a way that it could have been categorized in four classification niche; Cyst, Normal, Stone and tumor under which it would have been classified in four categories.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CT Scan Analysis, Deep Learning, Kidney Tumor Detection, 3D CNN, Transformer Networks, Fuzzy Neural Network, MobileNet, DenseNet121, Tumor Classification, Feature Extraction, Accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Parenting styles play a significant role in shaping the emotional wellbeing of adolescents, a developmental stage marked by psychological and emotional changes. The present study aims to examine the impact of different parenting styles authoritative, authoritarian, permissive, and neglectful--on adolescent emotional wellbeing. A quantitative research design was adopted with a sample of 50 adolescents aged between 13 and 18 years. Data were collected using standardized questionnaires assessing parenting style and emotional wellbeing indicators such as self-esteem, anxiety, and emotional regulation. The findings reveal that 40% of adolescents experienced authoritative parenting, which was strongly associated with higher emotional wellbeing (78%), while authoritarian (25%) and neglectful parenting (15%) were linked to increased anxiety (70%) and poor emotional regulation (72%) respectively. The study concludes that parenting style significantly influences adolescent emotional health, with authoritative parenting being the most beneficial.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parenting style, emotional well-being

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hardened adder and carry logic is widely used in commercial FPGAs to improve the efficiency of arithmetic functions. There are many design choices and complexities associated with such hardening including: circuit design, FPGA architectural choices, and the CAD flow. However these choices have seen little study, and hence we explore a number of possibilities. We also highlight front-end elaboration optimizations that help ameliorate the restrictions placed on logic synthesis by hardened arithmetic. We show that hard adders and carry chains increase performance of simple adders by a factor of four or more, but on larger benchmark designs that contain arithmetic improve overall performance by 15% Approximate addition is a technique to trade off energy consumption and output quality in error-tolerant applications. a novel bit truncation approach is proposed to design dynamically energy-quality scalable adders with graceful degradation. As main idea, instead of being set to zero, the truncated input bits are set to the constant value that maximizes the output quality.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Field programmable gate arrays, Digital arithmetic, Logic design, Design automation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Caste and politics both are interrelated with each other. Caste is deeply rooted in Indian society.Relationship between caste and politics looks like two variables.Caste is nothing but social stratification which determined by birth.Caste used as a tool or mechanism from ancient India to 21st century india for various purposes.In Indian society as per as Electoral democracy is concerned Caste becomes an integral part in Indian politics. India being a diverse country in terms of culture ( food habit, wearing clothes,rituals etc) caste plays a very significant role in Indian politics.Caste forms political socialization in Indian society.Some times Caste based politics in Indian society gives rise to Regionalism which obstacles national integration and unity. The word caste derived from Latin word caste which means race. Caste and politics interaction is seen through the lens of the reservation policy of India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

political socialization, Regionalism, Social stratification ,Electoral democracy, Democracy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Continuing Nursing Education (CNE) is a fundamental component of professional development that enhances nurses' clinical competence and ensures the delivery of safe, evidence-based patient care. Despite its recognized importance, participation in continuing education programs among nurses remains inconsistent due to various influencing factors. The present study aimed to assess the barriers and facilitators affecting nurses' participation in continuing nursing education programs in selected hospitals of Bhopal, Madhya Pradesh. A quantitative non-experimental descriptive research design was adopted. A total of 100 staff nurses were selected using a non-probability purposive sampling technique from both government and private hospitals. Data were collected using a structured questionnaire comprising demographic variables, perceived barriers, and facilitating factors related to continuing nursing education. The tool was validated by experts, and reliability was established prior to data collection. Data were analyzed using descriptive and inferential statistics, including frequency, percentage, and chi-square test. The findings revealed that major barriers to participation included excessive workload, time constraints, staff shortage, and limited organizational support. Conversely, key facilitating factors included self-motivation, career advancement, enhancement of professional competence, and institutional encouragement. A statistically significant association was observed between selected demographic variables and participation in continuing nursing education. The study concludes that both individual and organizational factors significantly influence nurses' engagement in continuing education. Addressing structural barriers and strengthening institutional support mechanisms can improve participation and promote a culture of lifelong learning in the nursing profession.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Continuing Nursing Education, Barriers, Facilitators, Staff Nurses, Professional Competence, Organizational Factors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Educational institutions often experience uneven utilization of classroom infrastructure, where several rooms remain unused during non-peak hours while external organizations search for affordable venues for academic and training activities. This paper introduces EduSpace, an online platform created to help institutions organize and rent out their classrooms more efficiently. Through the system, users can view available rooms, send booking requests, and confirm reservations using a guided process. At the same time, administrative staff can review requests, approve them when appropriate, and keep track of overall usage from a single control panel. Results indicate reduced confirmation delays and improved accuracy in maintaining reservation records, with infrastructure usage increasing from approximately 60% to nearly 85% in the implemented model.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

classroom management system, educational resource utilization, online booking platform, space allocation, web-based application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents a smart agricultural robot based on the rocker-bogie mechanism, designed to assist farmers with soil monitoring, seed dispensing, water spraying, and live visual field observation. Using an ESP32 controller with IoT connectivity, the system measures soil moisture and temperature, sends real-time data to the Arduino IoT Cloud, and allows remote control of movement, seed dispensing, and spraying operations. The integration of the ESP32-CAM module provides live video streaming, enabling users to visually monitor farming activities and field conditions from anywhere. The robot enhances precision agriculture by reducing manual labor, improving seed and spray accuracy, and supporting real-time decision-making through IoT-enabled monitoring and camera feedback.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Rocker-Bogie Mechanism, IoT, Smart Agriculture, ESP32, Precision Farming, Soil Moisture Monitoring, Autonomous Robot, Remote Monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Introduction: Childhood is a critical period where children are vulnerable and require proper guidance to ensure their safety and well-being. In recent years, increasing cases of child abuse have highlighted the need for awareness regarding good touch and bad touch among school-age children. Educational interventions like video-assisted teaching can play an important role in improving children's knowledge and helping them protect themselves from abuse. Aim: To assess the effectiveness of video-assisted teaching on knowledge regarding good touch and bad touch among school-age children (6-12 years) in a selected school of Kishanganj, Bihar. Objectives: 1) To assess the existing knowledge regarding good touch and bad touch among school-age children (6-12 years). 2) To evaluate the effectiveness of video-assisted teaching on knowledge regarding good touch and bad touch among school-age children. 3) To determine the association between knowledge regarding good touch and bad touch and selected socio-demographic variables among school-age children. Materials and Methods: The study adopted a quantitative research approach with a one-group pre-test and post-test design to assess the effectiveness of video-assisted teaching on knowledge regarding good touch and bad touch among school-age children (6-12 years). The study was conducted in Saraswati Vidya Mandir School, Kishanganj, Bihar, among 100 children selected using non-probability convenient sampling. Data were collected using a self-structured questionnaire consisting of socio-demographic details and knowledge-based questions. After obtaining consent, a pre-test was conducted, followed by the implementation of video-assisted teaching, and then a post-test was administered to evaluate the effectiveness of the intervention. The collected data were analyzed using descriptive and inferential statistics. Results and Findings: The findings of the study revealed that in the pre-test, the majority of school children (59%) had moderately adequate knowledge, 24% had adequate knowledge, and 17% had inadequate knowledge regarding good touch and bad touch. After the implementation of video-assisted teaching, there was a significant improvement, with 92% of children attaining adequate knowledge and none remaining in the inadequate category. The mean post-test knowledge score (26.57) was higher than the pre-test score (18.87), and the calculated paired t value showed a highly statistically significant difference (p < 0.05), indicating the effectiveness of the intervention. Additionally, a significant association was found between knowledge levels and class of study, while other demographic variables showed no significant association. Conclusion: The study concluded that school-age children had moderate to inadequate knowledge regarding good touch and bad touch before the intervention, but video-assisted teaching significantly improved their knowledge levels. The findings demonstrate that video-assisted teaching is an effective educational strategy for increasing awareness and promoting child safety. Therefore, such teaching methods should be encouraged in schools to empower children to recognize and respond to inappropriate touch.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Video-assisted teaching, Good touch, Bad touch, School-age children, Knowledge, Child safety, Child abuse prevention

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The unchecked propagation of misinformation across digital media ecosystems has emerged as a critical societal challenge, undermining public health discourse, democratic processes, and financial market integrity. Existing automated factchecking solutions are largely confined to research environments, lack multi-modal input support, and offer no user-facing infrastructure for persistent history or administrative oversight. This paper presents TruthCheck AI, a deployable web-based platform that enables registered users to submit news claims in either textual or image form and receive a structured, AIgenerated verdict in real time. The system orchestrates four distinct processing layers: Optical Character Recognition (OCR) via Tesseract for image-to-text extraction; sentiment and subjectivity analysis through TextBlob; live evidence retrieval from the web using SerpAPI; and verdict generation via Google 2.5 Flash operating under a Retrieval-Augmented Generation (RAG) paradigm. Each verification is persisted in a MySQL relational database tied to a secure user account, while an administrator dashboard provides platform-wide analytics and user management. Experimental results confirm that wellestablished factual claims receive verdicts with confidence scores exceeding 80%, whereas ambiguous or temporally sensitive claims are correctly classified as UNVERIFIED. The platform demonstrates the feasibility of combining contemporary AI services into a cohesive, production-ready application for misinformation detection at scale.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake News Detection, Retrieval-Augmented Generation, Natural Language Processing, Optical Character Recognition, Generative AI, Flask, Google Flash 2.5, SerpAPI, TextBlob, MySQL, Misinformation.

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Creative Commons Attribution 4.0 and The Open Definition