Volume 12 | Issue 12 |

 Abstract

The proposed system offers an efficient solution for real-time weather monitoring in the Karnataka region by leveraging IoT technology. It utilizes multiple sensors to collect data on key environmental parameters such as temperature, humidity, rainfall, and atmospheric pressure, which is then processed by a NodeMCU controller. The system operates on a client-server architecture, enabling the transmission of sensor data via a serial monitor to a cloud platform, making the data publicly accessible. Users can monitor weather conditions remotely from any location, without reliance on specific applications or websites. The system demonstrates improved accuracy and reliability over traditional weather monitoring methods, providing valuable, real-time insights into environmental conditions for better decision-making and analysis.

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 Keywords

IoT, Weather Monitoring, Sensors, NodeMCU, Temperature, Humidity, Pressure, Rainfall, Cloud Computing.

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This study evaluated the benefits and service challenges experienced by Social Security System (SSS) pensioners in Balanga City, Bataan, Philippines. As social welfare programs, particularly pension schemes, are critical for the economic security of elderly and vulnerable populations, this research highlights how the Philippine SSS provides essential retirement, disability, and death benefits. It places the study within the broader context of global population aging and the resultant pressures on pension systems, noting the unique challenges that developing nations, like the Philippines, face due to limited institutional and financial resources. Utilizing a mixed-methods approach, the study engaged 150 pensioners through surveys and interviews to evaluate their awareness, satisfaction, and accessibility to pension benefits. Findings indicate that while awareness of the SSS's core benefits--particularly retirement and death benefits--was generally adequate, many pensioners lacked a thorough understanding of eligibility conditions and technical details like calculation methods for disability percentages. Participants frequently cited administrative inefficiencies, such as bureaucratic delays, processing errors, and inadequate communication, as significant obstacles that impacted their ability to consistently access benefits. In rural and semi-urban settings, additional barriers arose, including limited digital literacy, restricted access to information, and logistical challenges in visiting SSS offices, which often led to missed benefits or delays. The study underscores the need for SSS to improve service delivery through clearer communication on eligibility and benefit calculation, simplified administrative processes, and outreach efforts to enhance digital literacy and service access in remote areas. These recommendations aim to bolster pensioners' understanding of their entitlements, reduce delays, and foster greater trust in the SSS, ultimately contributing to improved financial security and well-being among elderly Filipinos.

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Social Welfare

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Abstract: Friction occurring between the surfaces of two objects in contact, under the action of force parallel to surfaces in contact is known as static friction. Kinetic friction occurs between objects in contact, one moving with respect to the other. Several experiments have been conducted and theories have been put forth in order to explain the phenomenon of friction. Most famous laws of friction tell us that the frictional force only depends on mass of the object and nature of surface but not on the surface area in contact. There are some theories which give the dependence of surface area in contact on the load for cylindrical surfaces. Thus this dependence of frictional force on surface area is linked to and leads to dependence on mass. In the present work dependence of static frictional force on the surface area of the object in contact is investigated, separate from its dependence on mass. Experiments are performed on five series of wooden blocks comprising of total 35 blocks and two series of Perspex blocks comprising of 12 blocks. The results show that static frictional force is directly proportional to load. In addition results show that static frictional force is linearly dependent on surface area in contact. This dependence on surface area in contact is not linked to dependence on mass but is separate from dependence on mass. Accordingly, modified laws of friction are proposed.

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modified laws of friction are proposed

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In the present study, an attempt has been made to assess the suitability of kaolinite clay collected from hyderabad, India, as pozzolana in making concrete. The characteristics of OPC, FA, CA, and water were studied to assess their suitability to use in concrete. Mineralogical and physical properties natural kaolin clay collected from Cretaceous (CCK & CCT) and Tertiary system (TCN) were analyzed to find out their acceptability as pozzolona to use in concrete. Later, natural kaolin was calcinated at 400oC, 600oC and 800oC temperature over a period of 4 and 6 hour duration to find out optimum calcination temperature and calcination duration to convert natural kaolin into meta-kaolin. Subsequently, an effort has been made to determine the influence of meta-kaolin on characteristics of MK-OPC blended cement such as consistency, setting time and compressive strength. Further, MK concrete mixes were designed using guidelines prescribed by IS: 10262-2009. Subsequently effect of MK on workability of fresh concrete and also properties of hardened concrete such as compressive, flexural and split tensile strength of concrete were analyzed. Later, CCK15MK concrete mixes were made assess its influence on structural performance of reinforced concrete and also durability in terms of acid resistance, sulfate resistance, chloride resistance, etc. Finally microstructure analysis using x-ray diffraction, Scanning Electron Microscopy with Energy-dispersive X-ray spectroscopy was carried out on CCK15, CCT15, and TCN15 mixes to find the influence of meta-kaolin on performance of concrete.

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kaolin clay; metakaolin; Tertiary system.

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Digital transformation in libraries has led to the widespread adoption of electronic resources (e-resources) as essential tools for academic research and learning. This study explores the usage patterns and challenges associated with e-resource adoption in academic libraries. Through content analysis, the study highlights how various library users; including students, faculty, and researchers, primarily engage with e-resources for research, assignments, and literature reviews, often accessing them from home or work due to time constraints. Despite the increased usage, several barriers to effective utilization persist, including limited access to specialized e-resources, poor internet connectivity, lack of digital literacy, and complicated navigation of digital platforms. The study also emphasizes the importance of training programs and support services in addressing these challenges, as well as the need for libraries to invest in more user-friendly interfaces and comprehensive e-resource subscriptions. The findings suggest that enhancing internet infrastructure, expanding training initiatives, and adopting targeted marketing strategies could significantly improve the access and utilization of e-resources, ultimately fostering a more digitally inclusive academic environment.

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Digital transformation, e-resources, academic libraries, usage patterns, challenges, e-resource adoption, digital literacy, internet connectivity, training programs.

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Clinical trials are research studies conducted to evaluate the safety and effectiveness of new drugs. These trials are typically preceded by pre-clinical studies, which assess a drug's safety profile and potential side effects. While pre-clinical trials focus on the initial safety evaluation, clinical trials aim to determine whether a new treatment is more effective than existing therapies. Clinical trials are carried out in several phases: Phase 0, Phase 1. Phase 2, Phase 3, and Phase 4. Phase 0 is designed to accelerate the drug approval process by providing preliminary data on how the drug behaves in the body. Phase 1 trials primarily focus on determining the appropriate dosage and identifying potential side effects. In Phase 2, researchers assess the drug's safety and effectiveness for a specific condition or disease.. Phase 3 trials compare the new treatment to standard treatments, evaluating its overall safety and efficacy on a larger scale. Lastly, Phase 4 trials, conducted after the drug has been approved, aim to monitor its performance in real-world scenarios. These post-approval studies further assess the drug's long-term effects and ensure its continued safety and effectiveness for the approved indication.

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Clinical trials, History, Different phase of clinical trials, ICH-GCP guidelines.

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 Abstract

Bharat Me Aapada Prabhandhan Nitiyo Ka Vishleshan- 1997 Se 2024 Tak

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Bharat Me Aapada Prabhandhan Nitiyo Ka Vishleshan- 1997 Se 2024 Tak

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In this study, propose a comprehensive approach for the classification of lung diseases leveraging deep learning techniques. The research focuses on two main aspects: analysis of structured data using the Random Forest algorithm and detection of lung abnormalities in medical images employing the InceptionV3 architecture. For structured data analysis, we utilized the Random Forest algorithm to classify lung diseases based on clinical data. Features such as patient demographics, symptoms, and medical history were extracted and used to train the model. The Random Forest algorithm demonstrated promising results in accurately classifying various lung diseases, providing valuable insights into the relationships between different variables and disease outcomes. In parallel, we explored the detection of lung abnormalities in medical images using the InceptionV3 deep learning model. This convolutional neural network was trained on a large dataset of lung images to automatically identify patterns indicative of different diseases such as pneumonia, lung cancer, and pulmonary fibrosis. The InceptionV3 model exhibited high accuracy in detecting abnormalities, showcasing its potential as a powerful tool for assisting radiologists in early diagnosis and treatment planning. Through our comparative analysis, we evaluate the performance of both approaches in classifying lung diseases. We discuss the strengths and limitations of each method and highlight opportunities for future research. Ultimately, our study contributes to the advancement of automated diagnostic systems for lung diseases, offering clinicians and researchers valuable tools for improving patient care and outcomes. KEYWORDS: InceptionV3, Random Forest, Assisting radiologists, convolutional neural network.

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InceptionV3, Random Forest, Assisting radiologists, convolutional neural network.

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ABSTRACT Background: MOOCs are online courses designed to give people access to high-quality training so they use information and communication technologies to maximize learning outcomes. Purpose: Through focus group a discussion, this article aims to quantify the effect of SWAYAM MOOCs on the professional growth of women faculty. Methodology: Explorative survey research has been employed in this study. The sample comprised of 40 women faculty from various higher education institutions of North Karnataka. FGD has been employed to collect the qualitative data from the sample. Findings/Conclusions: The findings demonstrated that SWAYAM MOOCs had special content and implementation techniques for faculty development program . They have agreed that the academic material covered in MOOCs helped to foster favorable attitude toward learning through online courses and was sufficient for comprehending the benefits of the SWAYAM MOOCs platform. The participants opined that how MOOCs gave them insights on aspects of evaluation and how each aspect had been thoughtfully incorporated into the program, to enhance professional activities. Implications: SWAYAM MOOCs helps empowering teachers in upskilling and reskilling and enhancing their career prospects. It also helped them in selecting and using various pedagogies to enhance their teaching practice and outcomes for their professional development. (Acknowledgement: The present research article is the result of ICSSR Major Research Project awarded during 2022-23.)

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Keywords: Focus group discussion, SWAYAM MOOCs, professional development, women faculty

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The demand for renewable energy sources has increased due to growing concerns over climate change and the depletion of fossil fuels. Solar energy, as one of the most abundant and clean sources of energy, plays a vital role in addressing this issue. One of the challenges associated with solar panels is their fixed orientation, which results in inefficient energy capture due to the sun's changing position throughout the day. This research focuses on the development of a non-electrical rotating solar panel system driven by a clock-driven mechanism. The primary goal of this project is to design a system that autonomously adjusts the position of solar panels to maximize energy absorption without relying on electrical components, thus reducing costs and energy consumption.

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Development of Non-Electrical Rotating Solar Panel Using Clock-Driven Mechanism

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