Volume 14 | Issue 4 |

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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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Creative Commons Attribution 4.0 and The Open Definition

 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

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

 Abstract

Rapid urban growth and rising population density have led to increased security challenges in today's cities. Traditional fixed surveillance setups, like CCTV cameras, have limited coverage areas and often leave blind spots. They also rely heavily on existing infrastructure and can be slow in responding to incidents. This paper introduces a new mobile surveillance solution known as the Urban Security Surveillance Car. It uses advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), GPS tracking, and cloud computing to improve urban monitoring. The system includes real-time video recording, smart object detection, a central monitoring dashboard, and automatic alert functions. By combining mobility with smart data analysis, the Surveillance Car provides better coverage, faster response times, and easier integration into smart city systems. The proposed model shows better performance and flexibility compared to traditional fixed surveillance methods.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Urban Security, Smart City, Surveillance Vehicle, AI Monitoring, IoT, GPS Tracking, Cloud Surveillance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Piper nigrum Linn., commonly known as black pepper and referred to as Filfil Siyah in the Unani system of medicine. It belongs to the family Piperaceae and is among the most widely used spices worldwide, earning the epithet "King of Spices" due to its exceptional culinary, and medicinal significance. It is indigenous to India, and it has a long history of use in traditional medicine for the management of digestive, neurological, respiratory, and metabolic disorders. The present review aims to compile classical Unani literature, botanical description, phytochemistry and scientific evidence to highlight the therapeutic potential of Piper nigrum. The fruits are rich in bioactive compounds, particularly piperine, along with essential oils, alkaloids, phenolics, and terpenoids, which contribute to their wide range of pharmacological activities. In Unani medicine, Filfil Siyah is described as Muqaww?-i-Jigar (liver tonic), Muqaww?-i-A???b (nervine tonic), K?sir wa Mu?allil-i-Riy?? (carminative), Mudirr-e-Baul (diuretic), Mudirr-e- Haiz (ammenogogue), Mushtah? (appetizer) and is effective in treating various diseases such as Bu?l?n al-Ha?m (indigestion), Amr?z-e-Dim?ghiya B?rida, Amr?z-e-A???b (neurological disorders), Amr??-e-Jigar wa ?i??l (liver and splenic diseases), Waja? al-Kh??ira wa Amr??-i-Maf??il (lumbago) and arthritic diseases. Scientific studies have demonstrated its antidepressant, neuroprotective, analgesic, anticonvulsant, antimicrobial, antioxidant, digestive stimulant, and bioavailability-enhancing properties. This review highlights the therapeutic potential of Piper nigrum as a valuable medicinal plant supported with scientific evidence.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Piper nigrum, Filfil Siyah, Piperine, Unani medicine, Bioavailability enhancer.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents Sahaaya - Integrated Life Saving Services, a centralized emergency response system designed to provide real-time assistance by integrating multiple critical services such as ambulance booking, blood donation, and safety alert mechanisms into a unified digital platform. The proposed system implements a multi-layer service architecture comprising a Request Processing layer for handling user inputs and emergency requests, a Real-Time Communication layer for instant notifications and tracking using WebSocket-based communication, and a Service Integration layer that connects users with nearby service providers based on location and availability. The system is deployed using a scalable full-stack architecture with React/React Native frontend, Node.js backend, and MongoDB/PostgreSQL databases to ensure efficient data handling and secure communication. A priority-based request handling mechanism ensures faster response for critical emergencies, while integrated modules such as SOS alert system, live ambulance tracking, blood donor matching, and safety tools (including fake call feature) enhance system reliability and usability. A real-time dashboard interface provides live updates, request status tracking, and user interaction features for seamless coordination. Experimental analysis demonstrates that the system significantly reduces response time, improves service accessibility, and maintains stable performance under concurrent user requests, with emergency response actions processed within a few seconds under normal network conditions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emergency Response System, Ambulance Booking, Blood Donation, SOS Alert, Real-Time Tracking, Public Safety, Smart Healthcare, WebSocket Communication, Integrated Services, Mobile Application.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: Women empowerment is a central concern of the 21st century. In India, it has gained considerable attention in recent years as it plays a crucial role in achieving inclusive and sustainable development. Women empowerment incorporates an environment wherein women can breathe without any fear of oppression, exploitation, or discrimination in a patriarchal or male-centric structure. In a developing country like India, achieving gender equality, social justice, human development, and sustainable growth is vital. Despite constitutional guarantees of equality and various government efforts, Indian women continue to face several issues. Women empowerment is still an illusion of reality. Various social evils related to women can be seen in daily life, like inequalities in employment and education, gender, caste, class, religion, and region. To eliminate these social evils, women's empowerment can be a crucial tool to enhance women's abilities. It can be very helpful in making strategic life choices. The main objectives of the study are to examine the current status of women's empowerment in India and to investigate the sociological factors that affect women's empowerment in India, with a particular focus on patriarchy, gender norms, caste, class, and institutional structures that shape women's access to resources and decision-making power. The study adopts a descriptive and analytical research design that is truly based upon secondary data sources. The findings of the study revealed that educational and health indicators are improved, but still gaps persist, especially among rural and marginalized women. Female labor force participation remains low that limits their economic empowerment. Patriarchal norms, unequal access to education and employment, and structural barriers continue to restrict women's substantive empowerment and decision-making power. The research study also discusses the role of family, community, government, and civil society in promoting women empowerment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS: Women empowerment, Injustice, Inequality, Gender Discrimination, Patriarchal society

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media posting has become an integral part of daily life among college students, influencing self-expression, social interaction, and online identity. While social media platforms provide opportunities for connection and visibility, there are growing concerns regarding the impact of frequent posting behaviour on students' mental health. The present study examines the impact of social media posting behaviour on the mental health of college students in Surat City, focusing on students enrolled in the Commerce and Management streams. Using a structured questionnaire and analysing 123 responses from colleges across Surat City using SPSS, the research examines four key factors influencing social media posting behaviour, including Social Approval, Social Comparison, Fear of Missing Out, and Habit or Addiction. The impact on mental health is assessed through four key indicators: anxiety, stress, depressive mood, and sleep and well-being. In the present study, Exploratory factor analysis identified two principal factors significantly affecting social media posting behaviour, Posting Habit and Comparison and Social Approval Seeking. Correlation and multiple regression techniques revealed statistically significant associations between social media posting behaviour and mental health outcomes. Results of the said study indicate that increased social media posting behaviour is associated with higher levels of psychological distress, including anxiety, stress, depressive mood, and sleep disturbance. The study highlights the need for greater awareness of responsible social media engagement among college students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social Media, Social Media Posting Behaviour, Mental Health.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Sesame seeds; Storage fungi; Relative humidity; Temperature; Aspergillus spp.; postharvest storage

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Workplace stigma surrounding mental illness continues to be a major barrier affecting employment opportunities and recovery outcomes for individuals living with mental health conditions. Despite growing awareness, negative attitudes, discrimination, and lack of support persist in organizational settings. The present study aims to examine the impact of workplace stigma on employment barriers and its subsequent effect on recovery among individuals experiencing mental illness. A mixed-method research design was adopted, incorporating both quantitative and qualitative approaches. Data was collected using a structured questionnaire assessing stigma, employment barriers, and recovery perceptions. The findings indicate a strong relationship between perceived workplace stigma and employment challenges. Furthermore, employment was found to play a crucial role in enhancing recovery, including psychological well-being, self-esteem, and social functioning. High levels of stigma were associated with reduced recovery outcomes. The study highlights the need for inclusive workplace policies, mental health awareness, and stigma reduction initiatives to improve employment opportunities and recovery trajectories.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Workplace Stigma, Mental Illness, Employment, Recovery, Discrimination

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Creative Commons Attribution 4.0 and The Open Definition