Volume 13 | Issue 6 |

 Abstract

Background of the study The burden of hearing impairment in India is substantially high, largely preventable, and avoidable. The present study aimed to estimate the prevalence of hearing impairment using a Smartphone-based tool among degree students and to study the factors associated, including personal audio device usage in degree colleges Aim of the study: Assessment of Hearing Impairment among Students at Selected Degree College Methodology: Cross Sectional study is conducted among Degree College students at selected degree colleges at Vijayapura. Total 200 students were selected by using Convenient Sampling technique. Results: Regarding demographic variables,37.5% of them were in the age group 21years ,62.5% of the respondents were male students,75% of the respondents were Hindu, 62.5% of the respondents were having nuclear family , 35% of the respondents were studying in BA , 50% of the respondents were studying in III Year and 62.5% of the respondents were using Audio Device More than 5 hours. Prevalence of hearing impairment among the degree college students out of 200, 37.5% had hearing capacity above 75, 54.5% had hearing capacity that is 50-75 and only 8% had the hearing capacity that's below 50. It concludes that Prevalence of hearing impairment that is 8% among degree college students due to use of mobile phones. Factors associated with use of Smart phone among the degree college students out of 200, 27.5% had mid level, 62.5% had Moderate level and only 10% had the Sever Level. It concludes that some factors associated with use of smart phone for the prevalence of hearing impairment. Correlation between hearing impairment and factors associated with use of smart phone. There is a Positive correlation There is no Association between hearing impairment and factors associated with use of Smart phone among college students with the selected socio demographic variables at 0.05 level of significance.

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 Keywords

Prevalence, Smart Phone, Associated factors and hearing impairment

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Air pollution have been increasing due to various number of factors, which includes Population growth, Increasing vehicle usages, Industrialisation and Urbanisation, and others - pollution levels kept rising ever. These variables makes negative impact on Heath human beings. In order to monitor this, an Internet of Things (IoT)-based wireless sensor networks which is coupled to world of net via wireless communication technologies. Using the MQ135 sensor, these sensors could able to monitor the air quality characteristics, including temperature, humidity, and pollution levels. On gathering , the data is sent to a central server or cloud platform for visualisation and analysis. This makes it possible to track the amount of air pollution in a certain location in real time and can help with air quality decision-making.

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Sensor , Internet of Things, Wireless Sensor Networks

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Geospatial technology, remote sensing (RS), geographic information system (GIS), and global positioning system (GPS), commonly called the three 'S' systems, and field inventory methods with hyper spectral sensors play a major role in developing effective forest information. Management to realize scientific management of system forest resources ,Non-forest trees play an important role in global carbon cycling, as they are large pools of carbon as well as potential carbon sinks and atmospheric sources. Given the importance of biomass estimates in the global carbon (C) cycle, the present study demonstrates the potential of stand wise trees outside of forest inventory data, and we specifically used Cartosat-1 panchromatic (2.5 m) and multispectral. LISS-IV (5.8 m) dataset to quantify vegetation and create a much-needed database for TOF. The total geographical study area of Vikarabad district is 104903 sq.km. Results will help address key ecosystem services in the TOF, including quantifying greenhouse gas emissions from agriculture, forests and other land use categories. What is different from the above TOF biomass is that the TOF biomass averaged 2150.12 t/ha in all three classes linear, polygonal and scattered. Total TOF biomass and carbon content above ground were calculated as 24.43 t/ha, 414.46 t/ha and 556.36 t/ha respectively in the study area. The results of the study conclude that classification of TOF and prediction of biomass and carbon content in TOF can be successful. Achieved through a combined approach of remote sensing and GIS based spatial techniques with supplement of field data. The current approach would help to find potential carbon sequestration area in Vikarabad District Telangana State India

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 Keywords

TOF, Biomass, Carbon, Remote sensing & GIS,

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As emerging technologies like the IoT continue to rise, the need for computational systems that can process data with minimal delay is growing. Fog computing has been introduced as a solution to address this challenge to this challenge, serving as a bridge between cloud services and IoT devices by enabling processing closer to the data source. In a typical Fog environment, IoT devices communicate with nearby Fog nodes, allowing faster response times and efficient data management. This paper presents a detailed exploration of Fog Computing, covering its fundamental concepts, architecture, classification, features, key components, and diverse applications. It also illustrates how Fog Computing enhances traditional Cloud Computing by bringing computation to the network's edge, thereby supporting real-time data processing.

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Fog Computing, Edge Computing, Architecture

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Manual attendance systems are often time-consuming, prone to errors, and susceptible to proxy attendance. This paper presents an automated attendance marking system leveraging deep learning and computer vision techniques to streamline the process in academic environments. The system is divided into three core phases: face extraction, recognition, and database-driven attendance marking. RetinaFace is employed to accurately detect and extract faces from classroom images, enhancing image quality to improve recognition. A trained convolutional neural network model classifies each face with high precision, and the recognized identities are recorded into a structured MySQL database. Attendance is automatically marked based on real-time recognition, minimizing human intervention. The system ensures scalability, accuracy, and reusability, making it a practical solution for modern educational institutions. Future extensions may include live camera integration and real-time dashboards for faculty and administrative use.

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Face Recognition, Attendance System,Deep Learning,Computer Vision, RetinaFace, Convolutional Neural Network (CNN), Image Processing ,Student Identification ,MySQL Database, Educational Technology Automation, Real-Time Attendance, Face Detection

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Globally, integrating robotic systems into healthcare is reshaping hospital functions by enhancing precision, efficiency, and safety. Despite these advancements, there remains a notable gap in understanding the attitudes of Indian healthcare professionals toward such technological innovations. This study aimed to develop and validate a Multidimensional Robot Attitude Scale (MRAS) to assess healthcare professionals' perceptions regarding robotic integration in clinical settings across Kerala. The scale encompasses six key domains: Negative Attitude, Self-Efficacy, Utility, Cost, Control, and Operations. Psychometric analysis revealed strong internal consistency (Cronbach's alpha = 0.84) and construct validity through exploratory factor analysis, indicating that the MRAS is a reliable and valid tool. Findings suggest that while most healthcare professionals in Kerala express moderately positive attitudes toward robotics, concerns persist--particularly in domains related to cost and emotional unease. The MRAS offers a robust framework for evaluating acceptability and can support policy formulation, training, and strategic planning for the integration of robotics in Indian healthcare environments.

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Robot Attitude Scale, Healthcare Professionals, Technology Acceptance, Hospital Innovation, Validation Study.

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The Abrahamic religious traditions are namely Judaism, Christianity and Islam. All the three religious traditions give importance to the call and life experience of the fore father Abraham. The Incarnation, Teachings, Miracles, Crucifixion and Resurrection of Jesus Christ are the basics of Christian belief and practices. The life and teachings of Jesus Christ is the foundation of Christianity. The core values of the Holy Bible make the society with the sense of self respect, respect for others, justice, equality, fraternity and freedom. The practice of ethical teachings of the Bible is not found effective even within the church itself. The data proves that the struggles of Dalit Christians within the fold of the church exists in many ways. For example, the ill-treatment, inequality, injustice are found from time to time. It is an attempt to highlight the ethical teachings of Christianity and how are not practiced particularly against Dalit Christians within the church. The possible suggestions to shun the discrimination of Dalit Christians within the church in India.

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Ethics, Dalit Christians, Nazareth Manifesto, Broken God for Broken People

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In the fast-paced, extremely competitive, and globalized business world of today, organizations are also increasingly realizing the strategic significance of Supplier Relationship Management (SRM) as a significant component of efficient supply chain management. SRM is defined as the systematic method for creating and managing partnerships with the suppliers who provide goods and services to an organization. This article discusses the direct and indirect impacts of SRM practices on overall supply chain performance and highlights how a collaborative and trust-driven approach can improve operational efficiency, lower costs, and enhance customer satisfaction. The study is motivated by the imperative of comprehending how suppliers' role is transforming from transactional to strategic partners in the supply chain. The study examines the essential aspects of SRM like selection of the supplier, communication, trust, sharing of information, monitoring of performance, and long-term cooperation and their separate and combined effect on the performance indicators of supply chains like flexibility, responsiveness, cost efficiency, and delivery dependability. The study uses a mixed-method research design. Quantitative data are gathered using structured questionnaires from supply chain experts and purchasing managers from manufacturing and retail industries. The population size comprises 150 respondents selected via stratified random sampling. The analysis of the data uses statistical methods such as correlation and regression analysis to determine the correlation between SRM variables and supply chain performance indicators. The results depict a high degree of positive relationship between best SRM practices and supply chain performance. Supplier trust and collaboration are discovered to be the most significant drivers of supply chain agility and lead time reduction. In addition, various challenges like transparency, technology integration problems, and goal alignment issues between buyers and suppliers have been discovered as barriers to SRM effectiveness. This study adds to the body of knowledge on supply chain optimization and offers practical suggestions to practitioners to formulate effective supplier management strategies. Companies that seek competitive gain need to invest in building credible supplier relationships via commitment, common goals, and continuous improvement practices.

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Supplier Relationship Management (SRM), Supply Chain Performance, Supplier Collaboration, Procurement, Trust, Information Sharing, Operational Efficiency, Strategic Sourcing, Supply Chain Optimization

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lemongrass, citral, spasms, hypertension, ethnopharmacological

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Secondary education is an important link in the current education system. The secondary education system is a door of education which on one hand opens the way for higher education and on the other hand opens the way for employment and livelihood.Secondary education has the responsibility of training people from every section of society. In secondary school, emphasis is laid on essential personality traits such as self-respect, self-confidence, self-reliance, discretion, justice, expression of views, etc.In India, studies in the field of environment started after 1960. Dr. Motilal Sharma has done a lot of work on this subject. The academicians working in this direction believe that just as every person has a different personality andWe also get to see differences in them on the basis of effectiveness. That is, there are some people who influence us a lot and at the same time they are coordinated and balanced in themselves and some personalities are such that apart from being ineffective, they are also unbalanced in themselves. Similarly, every school has its own atmosphere. The voice of the students in the school automatically tells what the atmosphere of the school is like.Sometimes this voice is so serious that it shows the stress inside the children. It can be stress related to school, school administration or education.Stress is found in many forms in front of individuals and students. Such as avoidance of low performance level, worry about negative results, etc.Thus, we can say that academic stress is an important factor affecting students.

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 Keywords

Secondary education, school environment, academic stress.

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Creative Commons Attribution 4.0 and The Open Definition