Volume 14 | Issue 4

 Abstract

In the contemporary educational system, a teacher is not merely a dispenser of knowledge; rather they serve as facilitators, a mentor and a psychologically influential figure. Consequently, a teacher's psychological well-being and job satisfaction directly impact the quality of their instruction. The present study aims to examine the relationship between job satisfaction and subjective well-being among private school teachers in Howrah district, West Bengal. It also investigates differences in job satisfaction and well-being with respect to selected variables such as gender and type of institution (government and private). A quantitative research design was adopted for the study. Samples of 150 teachers were selected using appropriate sampling techniques. Data were collected using standardized tools, namely the Job Satisfaction Scale, Teacher Effectiveness Scale and Well-being Scale were used. The formulated hypotheses were tested using statistical techniques such as t-test and correlation analysis. The findings of the study revealed that there is no significant relationship between overall job satisfaction and subjective well-being. Furthermore, no significant differences were found in job satisfaction and well-being with respect to gender and type of institution. The study concludes that job satisfaction and subjective well-being are complex constructs influenced by multiple factors. The findings suggest the need for improving institutional and psychological support systems to enhance teachers' overall well-being.

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 Keywords

Psychological Well-being, Teaching Effectiveness, Job Satisfaction, School Teachers

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Immune checkpoint inhibitors (ICIs), including agents targeting PD-1, PD-L1, and CTLA-4, have revolutionized cancer therapy by enhancing antitumor immunity. However, their use is frequently complicated by immune-related adverse events (irAEs), with thyroid dysfunction being the most common endocrine manifestation. Understanding the incidence, mechanisms, and clinical implications of ICI-induced thyroid disorders is essential for optimizing patient care. Studies were analyzed for incidence rates, mechanistic insights, clinical features, and therapeutic recommendations.

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Immune checkpoint inhibitors, thyroid dysfunction, hypothyroidism, thyrotoxicosis, immune-related adverse events.

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 Abstract

The gap between academic learning and industry requirements has become a major challenge in modern education systems. Students often work on projects without real-world exposure, while industries struggle to identify skilled candidates. This paper presents SYNERGY - Industrial Collaboration Portal, a web-based platform designed to enable seamless collaboration between students, developers, and industry professionals. The system allows users to create and share projects, form teams, assign tasks, and track progress through structured workflows. It integrates real-time communication, feedback systems, and performance tracking to ensure efficient project development. The platform transforms isolated academic work into a collaborative ecosystem, enhancing innovation, practical learning, and employability. The proposed solution improves knowledge sharing, bridges the academia-industry gap, and supports continuous skill development aligned with industry needs.

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 Keywords

Industrial Collaboration, Project Management, Knowledge Sharing, Team Collaboration, Innovation Platform, Web Application.

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 Abstract

This study explains the design and working of a domestic refrigerator based on the vapor compression refrigeration cycle. It focuses on main components like the compressor, condenser, capillary tube, and evaporator, and how they work together to produce cooling. The study also covers performance factors, energy efficiency, and eco-friendly refrigerants. It concludes that domestic refrigerators are efficient, reliable, and essential for food preservation in daily life.

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This study focuses on a domestic refrigerator operating on the vapor compression cycle, involving components like the compressor, condenser, and evaporator, while emphasizing energy efficiency and the use of eco-friendly refrigerants.

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 Abstract

Urban parking inefficiency remains one of the most persistent challenges in modern cities, driving traffic congestion, fuel wastage, rising emissions, and daily frustration for millions of drivers. Earlier research established the socio-economic cost of poor parking management and explored solutions ranging from camera-based detection and IoT sensor networks to edge computing and deep learning models -- each addressing parts of the problem but none delivering a complete, reliable, and deployable solution. Building on this foundation, a unified AI-Driven Smart Parking Framework was designed and developed, integrating ESP32-CAM based video capture, YOLO-based vehicle detection, Region of Interest matching, Django REST API backend with MySQL database, a Flutter mobile application for driver-facing slot availability, and a Streamlit-based monitoring dashboard for administrators. This paper presents the real-world experimental evaluation of that framework, implemented and tested on an open-air parking facility covering parking slots under daytime conditions. Performance evaluation focuses on three key dimensions -- system response latency, mobile application update speed, and dashboard refresh rate. Results confirm that the system achieves an average end-to-end response latency of 1 to 2 seconds, mobile application slot status updates within 1 to 3 seconds, and real-time dashboard refresh under 3 seconds -- validating the practical viability of the proposed framework for smart city deployment. The findings demonstrate that the convergence of computer vision, IoT sensing, and edge computing can successfully transform a conventional parking facility into an intelligent, data-driven, and user-friendly system.

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 Keywords

Computer Vision, Dashboard Performance, Django, ESP32-CAM, Flutter, IoT Sensing, Mobile Application, Real-Time Detection, Response Latency, YOLO.

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Syzygium cumini (L.) Skeels, commonly known as jamun, Indian blackberry, or black plum, is a tropical fruit tree belonging to the Myrtaceae family and is widely found in the Indian subcontinent. It has gained considerable attention for its potential role in managing hyperglycemia associated with diabetes mellitus, a metabolic disorder characterized by inadequate insulin production or impaired glucose regulation.This review focuses on the antihyperglycemic activity of S. cumini, particularly its seeds, which are an important by-product rich in various bioactive compounds. Phytochemical studies have identified the presence of several secondary metabolites such as flavonoids, polyphenols, terpenoids, and alkaloids including jambosine and jamboline, which are believed to contribute to its therapeutic effects.The antidiabetic action of S. cumini is associated with multiple mechanisms, including improvement of glucose homeostasis, stimulation of pancreatic ?-cell function, enhancement of insulin secretion, and inhibition of carbohydrate-digesting enzymes like ?-amylase and ?-glucosidase. Experimental studies in streptozotocin-induced diabetic animal models have demonstrated a dose-dependent reduction in blood glucose levels and HbA1c. Furthermore, computational studies suggest that compounds such as kaempferol and gallic acid exhibit strong interactions with key enzymes involved in carbohydrate metabolism.Clinical findings also indicate that the administration of standardized seed powder can significantly reduce fasting as well as postprandial blood glucose levels. Although S. cumini is generally considered safe, further research is needed to standardize extraction methods and develop advanced drug delivery systems to enhance its bioavailability and therapeutic effectiveness

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nutraceuticals, phytochemicals, antioxidants, jamun seed, Syzygium cumini, and antidiabetic.

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 Abstract

The purpose of the present study was to compare the level of achievement motivation between Kabaddi players and non Kabaddi players studying at Sri Guru Granth Sahib World University, Fatehgarh Sahib. A total sample of 40 male students was selected for the study. The subjects were divided into two groups: Kabaddi players (n = 20) and Non Kabaddi players (n = 20). Achievement motivation was measured using a standardized Achievement Motivation Test. Descriptive statistic, including mean and standard deviation, were calculated, and an independent samples t test was applied to examine differences between the groups. The findings revealed that Kabaddi players demonstrated significantly higher achievement motivation compared to non Kabaddi players. The results suggest that participation in competitive sports such as Kabaddi may enhance motivational traits among university students.

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Achievement Motivation, Kabaddi Players, Non-Kabaddi Players, Sports Psychology.

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 Abstract

The pursuit of happiness and psychological well-being has become a central theme in modern psychology, particularly within the framework of positive psychology. Constructs such as flow, emotional intelligence, and life satisfaction are increasingly recognized as vital determinants of subjective well-being. Flow, introduced by Csikszentmihalyi (1990), refers to a state of deep immersion in an activity, characterized by intrinsic motivation, concentration, and a loss of self-consciousness. Emotional intelligence, popularized by Goleman (1995), encompasses the ability to perceive, regulate, and utilize emotions effectively, thereby influencing interpersonal relationships, academic performance, and coping strategies. Life satisfaction, as defined by Diener et al. (1985), is a cognitive evaluation of one's overall quality of life and is influenced by both internal and external factors. Although these constructs have been studied extensively in Western contexts, their combined influence on young adults in collectivist societies such as India remains underexplored. This study investigates the relationships among flow, emotional intelligence, and life satisfaction in Indian college students. Results revealed significant positive correlations between flow and emotional intelligence, and between emotional intelligence and life satisfaction. Regression analysis confirmed that emotional intelligence and flow jointly predict life satisfaction, though flow alone did not significantly correlate with life satisfaction. These findings highlight the importance of emotional regulation and optimal experience in enhancing subjective well-being, while also emphasizing cultural nuances in collectivist societies. The study contributes to cross-cultural psychology by demonstrating that emotional intelligence is a stronger predictor of life satisfaction than flow alone, suggesting that interventions aimed at improving emotional intelligence may be particularly effective in Indian educational contexts.

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 Keywords

Flow, Emotional Intelligence, Life Satisfaction, Positive Psychology, Well-being, Indian College students, Psychological Engagement, Ex-post facto Research Design, Cros-Cultural Psychology

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 Abstract

Cataract is one of the top reasons people lose their eyesight worldwide, yet it can be easily treated if found early. The real problem is that most people -- especially in villages and small towns -- do not have easy access to eye doctors. To help solve this, we built Cataract Hub, a desktop application that uses artificial intelligence to check whether an uploaded eye photograph shows signs of cataract. The system uses five deep learning models -- AlexNet, VGG16, ResNet18, DeepCNN, and DeepANN -- that all examine the same image and vote on the result. The final answer is decided by the majority vote, which makes the system much more reliable than relying on one model alone. Before analysis, the image goes through a seven-layer validation check to make sure it is a proper eye photo. Along with the Cataract or Normal verdict, the system also measures four clinical eye features, provides a three-level explanation for patients, doctors, and data scientists, and generates a full medical report using the LLaMA 3.3-70B large language model through the Groq API. Users can also chat with the built-in Medical AI assistant in English, Telugu, or Hindi. The entire system runs as a native desktop application built with Electron JS, making it practical and easy to install in clinics, hospitals, and health camps.

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Cataract Detection, Deep Learning, Ensemble Learning, Convolutional Neural Network, Eye Screening, Electron JS, LLaMA, Groq API, Gradio, PyTorch, Medical AI, Rural Healthcare.

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In pharmacology, the route of administration is the pathway by which a medication is introduced into the body to achieve a therapeutic effect, patient compliance, and safety of medications. The choice of a specific route depends on the physical and chemical properties of the drug, the desired site of action (local or systemic), the condition of the patient (e.g., unconscious or vomiting), and the rapidity of the response required. This review classifies these routes into systemic and local categories, detailing their specific advantages, disadvantages, and recent advancements in delivery systems. Drug can be administered through multiple routes such as oral, parenteral, topical, inhalation, and transdermal pathways, each having distinct advantages and limitations. Selection of an appropriate route depends on various factors including the physicochemical properties of the drug, desired onset and duration of action, patient condition, and clinical settings.

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 Keywords

Drug Administration Routes; Drug Delivery Systems; Pharmacokinetics; Bioavailability; First-Pass Effect; Administration, Oral; Administration, Sublingual; Administration, Buccal; Administration, Rectal; Injections, Intravenous; Injections, Intramuscular; Injections, Subcutaneous; Administration, Inhalation; Administration, Transdermal; Nanoparticles; Liposomes; Patient Compliance.

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 Abstract

The objective of this study is to get to an idea and estimation about the implementation of sus-tainability certification standards projects on the financial presentation of tea factories located in Galle region Sri Lanka. The key focus of implementation of the Sustainable Standards schemes are the improvement of the economic, social and business performance of the industry that they are implemented. The study was done through an evaluation of financial status of tea factories operated under Sri Lanka Tea Board in Galle region, Sri Lanka where the sustainability certifica-tion has been seen at different scopes. The effects of these implementation of standards were measured through the assessment the following specific financial performance indicators: Re-turn on Assets (ROA), Return on Equity (ROE), Return on Sales (ROS), Return on Investment (ROI), Profits and sales performances. The research consists of both qualitative and quantitative methods which are focused on ensuring that an adequate number of figures were collected to conduct the analysis. The study methodology embraced for this research is a descriptive analy-sis among 50 sustainable certified tea factories in Galle region. Statistics collection was both primary (Questionnaire, Interviews, key figures) and some secondary data (company data on financial performance indicators) collection methods. Data was statistically analyzed using SPSS statistical tools version 23 for the quantitative data (Pearson Chi-Square test, Correlation and regression) and analyzed qualitative data using Microsoft excel.

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Voluntary Sustainable standards, financial performance, ROA, ROE, ROS

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 Abstract

There are so many challenges and issues in Social and Humanities Science . It includes poverty, inequality( economically and gender), regional disparities, unemployment, corruption, religion and caste disputes, militant, climate change, mental health, drugs, smoking, drinking, pollution etc. Recently a big social challenge is arising. That is cyber crime. The major reason behind this is digital payments. Digital payments have made life easy. No need to keep cash . But this time it has become more challenges. In this paper SWOT analysis is discussed. A digital payment, sometimes called an electronic payment, is the transfer of value from one payment account to another using a digital device or channel. This definition may include payments made with bank transfers, mobile money, QR codes, and payment instruments such as credit, debit, and prepaid cards. Internet Banking, also known as Net Banking, allows customers of banks and financial institutions to make financial transactions through various digital payment modes like NEFT, RTGS, and IMPS. For an online payment to happen, both the customer and the merchant must have bank accounts, access to online banking, and a device to make the payment. Additionally, they need to be registered with a payment intermediary, such as a bank or a service provider. For example if you purchase something from your local grocery store and choose to pay via any other payment method (Mobile payment apps, banking cards ,Unstructured Supplementary Service Data(USSD), Aadhaar Enabled Payment System (AEPS), Unified Payments Interface (UPI), Internet Banking ,Mobile Banking etc.) that also is a digital payment.

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Digital Payments, Internet Banking, India, cyber crime, customers, banks, financial institutions

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This study explores the cultural significance of folk art among the Reang (Bru) community of Tripura, with particular focus on textile weaving, bamboo craft, ornaments, music, and dance. Drawing on fieldwork conducted in Kanchancherra village in Dhalai District, along with earlier observations and informal interviews, the research highlights how these art forms are deeply embedded in everyday life and identity rather than functioning as separate, purely aesthetic traditions. Weaving remains a central expression of Reang womanhood, and the rignai and risa are still worn with pride. While older women maintain traditional black-and-white designs, younger women increasingly adopt brighter colours and new patterns, reflecting both continuity and subtle change. Bamboo crafts such as baskets and mats continue to serve domestic, agricultural, and ritual purposes, though their everyday use is declining due to the availability of cheaper industrial alternatives. Ornaments retain cultural value, especially during festivals, but the shift from silver to aluminium and other metals signals changing economic conditions and evolving gender roles. Music and dance, particularly Hojagiri, remain vibrant and widely performed, supported by schools and cultural programmes. However, knowledge transmission is increasingly fragile as younger generations balance education, migration, and shifting aspirations. The study suggests that community-led initiatives, school-based cultural activities, and market-linked craft support could strengthen continuity while allowing creativity and adaptation. The findings emphasise that preserving Reang folk art is not only about safeguarding craft techniques but also about sustaining cultural identity, social memory, and community pride.

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 Keywords

Bru community; rignai; risa; bamboo craft; cultural identity; Tripura.

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 Abstract

With the rapid advancement of artificial intelligence and generative technologies, the rise of deepfake audio and video has become a major concern for digital security, branding authenticity, and misinformation prevention. This project presents an automated system capable of detecting deep fake audio and video using advanced AI and Deep Learning techniques. The system analyzes facial expressions, lip synchronization, voice patterns, and spectral audio features to identify inconsistencies typical found in manipulated media. Deep Learning models such as CNNs and Transformer-based architectures are utilized for recognizing subtle manipulation artifacts.

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 Keywords

Deepfake Detection, Artificial Intelligence, Deep Learning, CNN, LSTM, Misinformation Prevention, Digital Security.

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 Abstract

Paytm has a large user base in India and plays an important role in the digital payments ecosystem. The platform has more than 333 million registered users and over 100 million monthly active users, showing its widespread adoption across the country. In the Unified Payments Interface (UPI) ecosystem, Paytm holds around 7-9% of the market share, making it one of the major digital payment applications in India, although platforms like PhonePe and Google Pay have a larger share. Paytm is widely used for mobile recharges, bill payments, online shopping, and merchant payments. Its growing user base and merchant network highlight the increasing acceptance of digital payments in India.

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Key Words: Paytm, digital payment platform, transfer cash

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Retail businesses throughout the world, especially regional textile retailing, have been significantly influenced by the digital transformation. This study focuses on how Kanyakumari District's (KK District) textile retail marketing can be improved through digital transformation. The study analyzes the usage of digital tools like social media, e-commerce, and digital payments using primary data gathered from consumers and textile retailers. The outcomes show that digital transformation boosts sales performance, broadens the market, and enhances consumer engagement. However, issues including a lack of technical expertise and infrastructure constraints continue to exist. Recommendations to increase textile retailers' usage of digital technology are included in the study's conclusion.

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Key words: Retail Marketing, Digital innovations, Traditional techniques.

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Attendance monitoring is an essential requirement in educational institutions to maintain discipline and performance records. Traditional manual systems are error-prone, while biometric systems often involve higher costs and longer processing times. This paper proposes an IoT cloud-integrated automated attendance system for enhanced security and accuracy. Each student carries an RFID tag that is scanned by the RFID reader to mark attendance. To prevent proxy usage of RFID cards, the system incorporates a camera module that captures the image of the individual during scanning, enabling cross- verification. The attendance data is stored in a real-time cloud database, allowing instant access for report generation and analysis. The system also sends notifications to the parents of individual students regarding their attendance status and features a web interface to track attendance changes on a date-by-date basis. This solution reduces manual effort, improves reliability, enables real-time monitoring, and provides efficient, secure, and transparent attendance management suitable for schools, colleges, and other organizations.

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IoT, Cloud-Integrated Attendance System, RFID, Real-Time Database, Notification Service, Web Interface.

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This research investigates the association between emotional coping via night-time YouTube consumption and sleep disturbances among working adults aged 25 to 65 years. Amidst rising digital engagement, YouTube serves not only as a source of entertainment but also as a tool for managing stress, emotional exhaustion, and psychological distress. The primary aim of this study was to determine whether emotionally motivated YouTube use during night hours is significantly linked to disruptions in sleep. A quantitative, non-experimental correlational design was utilized. Data were gathered through an online survey administered to 100 participants, with 82 individuals (N = 82) meeting the inclusion criteria of regular night-time YouTube usage (post-9 PM, at least three times weekly). The study employed self-developed measures, including the Night-Time YouTube Usage and Emotional Coping Scale and the Sleep Quality and Sleep Disturbance Scale Pearson's correlation analysis demonstrated a statistically significant moderate positive correlation between emotional coping through night-time YouTube viewing and sleep disturbance, r(78) = .49, p < .001. This finding suggests that greater emotional dependence on YouTube during night hours is associated with adverse sleep outcomes, such as delayed sleep onset, diminished sleep quality, and heightened daytime fatigue. Nonetheless, the correlational design precludes causal inferences. These results emphasize the psychological relevance of digitally mediated coping strategies and their impact on sleep health. The study highlights the importance of addressing emotionally driven digital behaviors within mental health interventions, sleep hygiene protocols, and digital well-being initiatives.

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Emotional coping, Night-time YouTube use, Sleep disturbance, Digital coping, Sleep quality

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 Abstract

Heart disease remains one of the leading causes of mortality worldwide, posing a significant challenge to healthcare systems due to its complex etiology and the need for early and accurate diagnosis. With the rapid growth of medical data and advances in computational intelligence, machine learning and deep learning models have been widely adopted for heart disease classification. However, most high-performance models operate as black boxes, providing predictions without offering insights into how decisions are made. This lack of transparency limits clinical trust, interpretability, and ethical adoption in real-world healthcare environments. Explainable Artificial Intelligence (XAI) addresses this critical gap by enabling models to provide human-understandable explanations alongside predictions. This research proposes an XAI-driven methodology for heart disease classification that balances predictive accuracy with interpretability. The methodology integrates structured clinical data such as age, cholesterol levels, blood pressure, electrocardiogram results, and lifestyle indicators with interpretable machine learning techniques. By embedding explanation mechanisms such as feature attribution, rule-based reasoning, and local explanation models, the system allows clinicians to understand why a patient is classified as high-risk or low-risk. The proposed approach aims to improve diagnostic confidence, support clinical decision-making, and enhance patient trust by offering transparent and accountable AI outcomes. Ultimately, this study contributes to the development of ethical, reliable, and clinically applicable AI systems in cardiovascular healthcare.

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 Keywords

XAI-based framework,SHAP,xNoise,precision ,CNN,RNN,GRU,LSTM,SDCNN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Air Quality Monitoring, Machine Learning, XGBoost, Linear Regression, Internet of Things (IoT), ESP32, Health Risk Prediction, PM2.5, Environmental Monitoring, Smart System

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Creative Commons Attribution 4.0 and The Open Definition