Volume 13 | Issue 6 |

 Abstract

Respiratory diseases, including COPD, asthma, pneumonia, and other lung disorders, remain a significant global health concern, requiring early and accurate diagnosis for effective management. Traditional diagnostic methods, such as stethoscope auscultation and imaging techniques, often rely on subjective assessments and may not always provide real- time or automated analysis. As a non-invasive alternative, lung sound analysis has gained attention for its potential in detect- ing respiratory conditions efficiently. In this study, a hybrid Convolutional Neural Network-Long Short-Term Memory model is developed to effectively capture both spatial and temporal features of lung sounds. Mel-Frequency Cepstral Coefficients are extracted as input features to enhance the model's ability to differentiate between normal and pathological respiratory sounds. The CNN component identifies spatial patterns, while the LSTM network captures sequential dependencies within the audio signals, improving classification accuracy. To further strengthen prediction performance, patient metadata such as age, gender, medical history, environmental exposure, and reported symptoms are incorporated into the model, allowing for more context-aware and personalized diagnosis. The system is designed to function efficiently with real-time lung sound recordings, enabling early diagnosis and remote monitoring. Extensive ex- periments will be conducted to evaluate the model's performance based on accuracy, sensitivity, and specificity. The proposed approach has the potential to support clinicians in automated screening, telemedicine applications, and large-scale respiratory health assessments, contributing to improved patient outcomes and healthcare accessibility

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Respiratory disease detection, lung sounds, deep learning, CNN-LSTM, Mel-Frequency Cepstral Coefficients (MFCCs), spatial and temporal features, classification accuracy, real-time monitoring.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study aims to develop and evaluate a safe, effective, and high-quality herbal Shampoo, focusing on its DHT-blocker properties. Herbal Shampoos offer a natural approach to hair care, cleansing the hair and scalp of dirt, grease, and dandruff while promoting healthy hair growth, strength, and color. [1] They can also improve hair's softness, smoothness, and shine. Conventional Shampoos often contain chemical ingredients that may cause adverse effects such as hair loss, scalp irritation, discomfort, nausea, and headaches. Therefore, this research explores the formulation of an herbal Shampoo that topicaly blocks the DHT, minimizing the risk of such side effects.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Introduction, Herbal Shampoo, DHT blocking Shampoo.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Examinations are a critical part of any academic institution, and managing the logistics surrounding them especially seating arrangements can be a tedious and error-prone task if done manually. Traditional methods often involve spreadsheets, charts, and manual assignments, which can lead to inefficiencies, human errors, duplication of students, and conflicts in seating or supervisor allocation. This project, titled "Exam Seating Arrangement System", aims to automate and streamline the entire process of seating students and assigning supervisors for exams. The system is developed as a full-stack web application using Spring Boot for the backend and React.js for the frontend, with MySQL serving as the relational database. The backend is structured around RESTful APIs and adheres to a layered architecture, ensuring scalability and maintainability. The frontend is designed to be user-friendly and responsive, providing administrative staff with intuitive control over the entire examination layout process. This project aims to simplify the manual and error-prone process of allocating exam seats and assigning supervisors in educational institutions. Built with Spring Boot for backend and React.js for frontend, it provides an automated, scalable, and user- friendly interface for managing exams. One of the key features is its dynamic seating algorithm that adapts to the number of students, block capacities, and shifts.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Exam Seating Arrangement, Student Allocation, Automated System, MySQL, Invigilation Scheduling, Educational Management, Conflict-Free Scheduling, Academic Integrity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Madh?ka, botanically identified as Madhuca latifolia Roxb. and Madhuca longifolia (Koen.) Macbr, is a versatile plant from the family Sapotaceae, extensively cited in classical Ayurvedic literature. With diverse vernacular names and a broad range of therapeutic applications, Madh?ka has been traditionally used in the management of inflammatory disorders, bleeding disorders, and gastrointestinal ailments. This review consolidates references from Vedas, classical Sa?hit?s, Nigha??us, and modern scientific literature to present a pharmacognostic, pharmacological, and clinical overview. This comprehensive analysis affirms Madh?ka's relevance as a phytomedicine in contemporary healthcare.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Madhuka, comprehensive review

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study focuses on the formulation and evaluation of a polyherbal hair gel using hibiscus extract, aloe vera juice, bottle gourd juice, and hydroxypropyl methylcellulose (HPMC) as the base polymer. The primary aim is to create a semi synthetic hair care product that enhances promotes hair moisture and improves hair texture while minimizing side effects associated with synthetic products. The gel was prepared by incorporating the herbal extracts into an HPMC base with consistent stirring to achieve homogeneity. Evaluation parameters included pH balance, viscosity, spread ability, stability tests. The formulation demonstrated good stability, and effective conditioning benefits for the hair. This polyherbal gel offers a promising alternative for synthetic hair care solutions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aloe Vera, Bottle Gourd, Hibiscus, Polyherbal Hair Gel.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project proposes MechaChainTrack, a centralized web-based supply chain management portal tai-lored for the mechanical engineering domain. The platform streamlines procurement, inventory control, and vendor coordination by enabling manufacturers, suppliers, and logistics partners to securely upload and access data related to mechanical components, equipment specifications, maintenance logs, and order records. By integrating web data mining techniques, the portal enhances supply chain visibility and decision-making through intelligent matching of suppliers based on material availability, lead times, and quality metrics. This data-driven system reduces delays, optimizes inventory levels, and supports predic-tive maintenance by identifying usage patterns and potential component failures. Plant managers and procurement officers can monitor operations through an interactive dashboard, generate real-time reports, and ensure compliance with production schedules. Overall, the platform digitizes core supply chain activities, enhances operational efficiency, and fosters smarter coordination across the mechanical supply network.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Supply Chain Platform, Web-Based Placement, Portal Candidate Management System, Document Upload Recruiter, Skill-Based Matching, Role-Based Access Control (RBAC), Data-Driven Recruitment, Secure Login System, Smart Recruitment Solutions, Profile Search Recruitment Process Automation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Green hydrogen, produced by the electrolysis of water using renewable energy sources, offers a clean and sustainable solution to reduce global dependence on fossil fuels. This research explores the design, implementation, and performance analysis of a solar-powered HHO (hydrogen and oxygen) generation system. A prototype setup utilizing a 100W solar panel, a 12V battery, and a stainless steel electrolyzer demonstrated successful hydrogen production with an energy efficiency of approximately 75%. The study highlights the environmental benefits, economic implications, and potential for future scalability of such systems, while addressing key challenges such as system efficiency, weather dependency, and infrastructure limitations. This paper contributes to the growing field of green hydrogen technology and presents a practical approach toward decentralized, emission-free hydrogen production.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Green Hydrogen,HHO Gas,Electrolysis,Renewable Energy,Solar Power

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mandala designs were mostly utilized in ceremonial and religious clothing in the textile industry in the past. They decorated the ritual garments of priests and followers, symbolizing cosmic order and spiritual unity. These intricate designs were painstakingly handcrafted using block printing, needlework, and natural dyes. Mandala art often depicts a circular design with intricate geometric patterns. The circle symbolizes wholeness, completeness, and the cyclical nature of life. It represents the universe and the idea that everything is interconnected. Sample size of 60 respondents is included. This survey indicates that 68.33% of respondents aware from mandala design.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mandala design, Motifs, common symbols and qualitative study

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Career maturity refers to an individual's readiness and ability to make informed, realistic, and appropriate career decisions at different stages of life. It reflects how well a person understands themselves, their interests, strengths, values, and the world of work, as well as their capacity to plan and make career-related choices. Career maturity and self-confidence are positively related; individuals with higher self-confidence are better equipped to make informed and realistic career decisions. Self-confidence enhances one's ability to explore options, set goals, and commit to a chosen career path. Hence, the present investigation was carried out to study the career maturity of senior secondary school students in relation to gender and self-confidence. Descriptive survey method of research was used for the study. A sample of 819 senior secondary students was selected by employing random sampling technique. Data were collected by using standardized research tools i.e. Career Maturity Inventory by Nirmala Gupta and Self-Confidence Scale by Madhu Gupta and Bindiya Lakhani. Descriptive statistic and Analysis of Variance were used to Analyze the data. There was no significant difference in career maturity of senior secondary school students with respect to their gender. Senior secondary school students with different level of self-confidence differed significantly from each other with regard to their career maturity. Gender and self-confidence taken together have no significant interactional effect on career maturity of senior secondary school students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Career Maturity, Gender, Self-confidence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The automatic transfer switch is helpful transfer the load from various power sources to ensure continuous operation of load. Automatic transfer switch is needed in developing countries where frequent power failure is a major problem. Industries, public and private sector organization and even domestic user cannot handle power outage due to it pushes them in loss in business disturbance in normal official work, hindrance in routine and domestic life. In this system we have highlighted the use of good border in term of switching speeds and smooth evolution. Allowable by means of an automatic connection to a network of other sources of supply in case the main source of power supply distress. The automatic transfer switch which is a switchgear control system, provides a functional system that offers an automatic switching of power supply between a primary source and secondary source is generator. The method laboring in designing the automatic transfer switch include the use of electromechanical relay, contactor, voltage monitoring relay and delay timer relays as main component of the system.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino, D-type flip-flop, logic gates, 555 timers, 3-input AND gates, JRC 4558, IC. Voltage Sensors, Frequency Sensor, Current Sensors.

  License

Creative Commons Attribution 4.0 and The Open Definition