Volume 12 | Issue 5

 Abstract

As evolution continues, our contemporary culture is suffering from shorter sleep durations and lower-quality sleep, which has had numerous detrimental effects on overall welfare. When someone has obstructive sleep apnea, their breathing becomes erratic while they are asleep.Short apneic episodes, which cause sleep interruption and subsequently poor sleep quality, are the hallmark of obstructive sleep apnea. If left untreated, this illness can be lethal.During sleep, a person's breathing frequently stops many times. In the Apnea-Hypopnea index (AHI), the number of breathing episodes that are disrupted each hour is recorded.An OSA score of five or above is considered suggestive. A score of 5 may be associated with symptoms such as fatigue, drowsiness, and poor perception during the waking hours; however, a score of 15 or above is indicative of OSA independent of concomitant conditions. This article discusses the management of a patient suffering from obstructive sleep apnea by prosthodontic intervention with oral appliances.

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Key Words: Obstructive Sleep Apnea, Apnea, Hypopnea, Prosthodontic Management, Appliances.

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The study focuses on the impact of a learning organization on employee resilience aiming to improve employee resilience within the organization. In today's world, employee resilience is crucial for organizational growth, and the learning organization plays a significant role in fostering it. The objective aiming to increase the contribution of the organization to make they employee resilient to any situation. The sample size is 140 individuals from the it employee. Data analysis non-parametric tests such as H-test, U-test, Correlation and chi-square were employed. The findings indicated that employee believe that support of the organization is very important for them to the able to change in any situation, the importance of the collaborative system connectivity in the organization. Employee resilience leads to the higher productivity of the employee. An organization which support their employee to be resilient according to the changing environment through the learning culture which will make the organization to sustain in the market for longer period of time.

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Learning organization, Employee Resilience.

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The concept Assistive Technology focuses on how it can help the visual impaired students. Make the learners free from the vision based content obstacles and offering flexible learning in academic environment. Effective Assistive Technology support services are vital means of enabling students to cope with the academic and personal life management.This research article explored the usage of Assistive Technology at UG,PG,PhD level education. An online questionnaire was used for the collection of primary data that contained 32 items based on the Assistive Technology tool for reading, writing, Assistive Technology to support social life and mobility of visual impaired students higher education. A random sample of 30 visually impaired students of Karnataka was selected for study. The questionnaire consists of 4 points scale like 1. Frequently, 2.Occasionally, 3.Rarely, 4.Not yet used. The data was analyzed using percentage statistical techniques. The findings try to indicate awareness about the Assistive Technology that can help visual impaired students in their higher education.

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Assistive Technology, visually impaired students, higher Education

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The focus focused is to create an advanced system for analyzing sentiments, particularly in the field of drug recommendation, to tackle significant challenges in healthcare and pharmaceuticals. There has been a surge in user-generated content revolving around drug reviews and patient feedback, which serves as a valuable tool in understanding public opinions on medications. Our project utilizes natural language processing (NLP) and machine learning methods to extract and comprehend sentiments from text data, offering insights into drug efficacy, safety, and user contentment. The primary goals encompass the establishment of a strong sentiment analysis model that can precisely categorize sentiments linked to drugs, the integration of a personalized drug recommendation system based on individual user encounters, and the detection and resolution of potential biases in sentiment analysis to guarantee impartial recommendations. The plan also includes assessing the system's effectiveness using real-life data. The process entails gathering data, preprocessing, training models, creating user profiles, implementing collaborative filters, and mitigating biases. By amalgamating these elements, we construct a coherent system capable of processing user input, conducting sentiment analysis, and providing customized drug suggestions. Anticipated outcomes of this venture consist of a dependable sentiment analysis system that aids in healthcare decision-making by offering insights into patient experiences and drug proposals tailored to specific preferences. Ultimately, this research has the potential to significantly enhance patient outcomes and elevate pharmaceutical decision-making, rendering it an asset in the healthcare sector.

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sentiment analysis, drug recommendation, healthcare, pharmaceuticals, NLP, machine learning, user-generated content, patient feedback, effectiveness, safety, user satisfaction, personalized recommendations, bias mitigation, data privacy, ethical considerations, model evaluation, user profiling, collaborative filtering, data preprocessing, domain-specific language, healthcare, decision-making, patient outcomes, pharmaceutical decision-making.

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The effect of strategic training on worker performance inside an organization is investigated in this study. A competent and adaptable workforce is now essential as businesses operate in an environment that is becoming more and more competitive. Strategic training, which involves the deliberate planning and implementation of training programs aligned with organizational goals, is posited as a key driver of employee performance improvement. Through a comprehensive review of existing literature and case studies, this research identifies the mechanisms through which strategic training influences various performance metrics, including productivity, efficiency, job satisfaction, and employee retention. The findings suggest that organizations investing in tailored training initiatives not only enhance individual competencies but also foster a culture of continuous learning and development. This abstract outline the core themes and conclusions, emphasizing the necessity for businesses to adopt a strategic approach to training in order to achieve sustainable growth and maintain a competitive edge in their respective industries

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Strategic training, Employee performance, Organization strategy, Performance metrics, Training programs.

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The expenses in the medical field are skyrocketing as there has been a decline in self-awareness of diseases and a decrease in hygiene in the environment as there has been a drastic increase in population. According to the last survey in 2020, Our country is way below the WHO recommendation of the 1:1000 doctor-to-population ratio. Only one in eleven states in India meet the WHO standard, meanwhile, none in the healthcare sector meet these criteria. Besides the shortage of doctors, India's healthcare sector is also facing a major crisis in the form of inefficient human resources and inadequate infrastructure. Over the past several years, India has lost many lives due to a shortage of healthcare workers, especially doctors in government hospitals. As the ratio indicates there is only one doctor for a thousand people and it is becoming more and more expensive to get diagnosed by a doctor as a result many minimal diseases are being neglected which may lead to saviour diseases and infection. To reduce the risk of this happening we decided to create awareness through effective means such as letting the user know the early stage of symptoms of a particular disease, prevention methods, and precautions. Healthy people can also use Web Doctor as a tracking guide considering their physical health such as height, weight ... etc, it suggests a healthy diet, and regular exercise and helps you strengthen your immune system. Feel free to adapt this abstract to reflect the specific details and goals of your DiagnoHealth project. An abstract should concisely convey the essence and significance of your project to potential readers or stakeholders. Key components of the project include a user-centric health-finding platform that encompasses health predictions, seamless data integration and storage, intuitive reporting and visualization, and configuration and fine- tuning capabilities. By embracing cutting-edge methodologies, robust data analysis techniques, and the latest technologies, we aim to empower individuals to take control of their health, make informed healthcare decisions, and ultimately elevate their overall well-being.

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Machine learning ,AI driven Diagnostic Models, Electronic Health records,Clinical Decision Support Systems

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This study has been done regarding the different innovations made to fertilizer spraying and sowing machines is provided in this paper. The primary element in agriculture is the field spraying machine. Farmers need to adopt new practices that will boost crop productivity overall without affecting the texture of the soil to fulfil future food demands. This study focuses on fertilizer spraying and seed sowing techniques and the range of crop cultivation technologies utilized in India. A comparison is made between the new machine that is suggested, which has several advantages and can execute multiple tasks simultaneously, and the conventional technique of applying fertilizer. This system lowers the labour costs and overall effort involved in fertilizer spraying and sowing, which is a major problem for farmers as labour.

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Multipurpose, Sowing, equipment, spraying

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When we start a business there is necessitates a large sum of money. By this, entrepreneurs must have an effective business financing technique. As of present there are already various business financing methods that business start-ups can utilize to accumulate funds. This study is conducted by many researchers to design and develop an online platform for business financing. The project, name "Crowd Funding Platform" is designed to allow us to start new businesses or startups to raise their funds in an efficient way and reliable platform. This platform is designed for the business entrepreneurs and also for social entrepreneurs to raise funds for their new business idea or projects. The entrepreneurs will register on this platform to campaign their business idea and attract with the other members of the crowdfunding platform to invest and donate funds for the business. Anyone can easily start their projects and raise their funds. The entrepreneurs must set goals and the share-agreement for the information of the crowd before donating funds.

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entrepreneurs, reliable , share -agreement

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The cosmetic are play the importance role in aesthetic purposes, including cleansing, beautifying, modifying look, moisturising etc .And the some cosmetic are give the therapeutic effect.They also protect the skin from bacterial and fungal infections and Also used to treat skin injuries including burns, cuts etc . The cosmetic are different different type and apply to different different body part .the cold cream is used to moisturizing the human body .the importance ingredients are used in the formulation of cold cream beeswax, borax, liquid paraffin, Methyl parpen, distilled water and Rose water this all ingredients are used in formulation of cold cream All ingredients are waieging properly and make a Formulation and some stages are performed the proper after the formulation some important evaluation taste are carried. Some evaluation tests pH, homogeneity, morphology, stability and speability test etc .This Formulation and Evaluation of cold cream is studying and the results of this Formulation is working properly

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Formulation, Evaluation, Cold Cream, bees wax, liquid paraffin

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The purpose of this study is to assess how well hiring and selection procedures contribute to improved organizational performance. The goal of the study is to pinpoint the essential elements of effective recruiting procedures and how these elements affect worker productivity and performance. The study used a mixed-methods approach, integrating qualitative insights from interviews and case studies across different industries with quantitative data from surveys of HR experts and workers.

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Hiring procedures, Selection procedure, Organizational performance, Effective recruiting procedures.

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Sustainable product design and development is a broad field of research. So far, no studies have been conducted in the research area. Typically, each researcher conducts research based on his or her own perspective and expertise. The purpose of this article is to create a classification of sustainable product design and development topics, goals, methods and inputs. Based on the literature review of sustainable product design and development, several research subcategories were found: process, life cycle assessment, ecological design, design strategies, multi-criteria decision making, performance measurement, customer side, and others, covering different research areas. This classification offers category researchers the advantage of focusing more on the selection of appropriate literature. In addition, it is easier for researchers to identify data gaps for future studies.

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Sustainable Design, Eco-Design, Lifecycle Assessment, Circular Economy, Green Manufacturing, Renewable Materials, Resource Efficiency, Waste Minimization, Energy Efficiency, Environmental Impact, Sustainable Innovation, Recyclability, Renewable Energy, Environmental Regulations, Sustainable Supply Chain

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This study investigates the impact of workplace safety, health conditions, and environmental factors on employee satisfaction, addressing a critical aspect of organizational management and employee well-being. Employing a quantitative research methodology, the study analyzes data from 237 employees across various industries, using correlation and regression analyses to explore the relationships between workplace factors and satisfaction, and U and H tests to examine demographic differences. Findings reveal strong positive correlations between most workplace factors studied and employee satisfaction, with welfare facilities showing the most significant positive impact. However, health, surprisingly, had a minimal direct effect on satisfaction within the regression model. The study also uncovers significant demographic differences in the experience and perception of workplace conditions. The scope of this study encompasses an extensive examination of how workplace safety, health conditions, and environmental factors contribute to employee satisfaction, with attention to demographic nuances. The study's findings underscore the importance of holistic workplace improvement strategies that prioritize safety, stress reduction, and the provision of comprehensive welfare facilities. By offering empirical evidence and actionable insights, this research contributes to the development of healthier, safer, and more satisfying work environments, aligning organizational practices with employee well-being and satisfaction.

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Employee safety, Employee Health and Employee Environment

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It is critical to concentrate on particular tasks when dealing with COVID-19 data in Tableau, such as monitoring cases, analysing trends, and showing geographic distribution. The findings of utilizing Tableau to analyze COVID-19 data can offer important insights into a number of pandemic-related topics. All things considered, Tableau offers an excellent platform for analysing and visualizing COVID-19 data, empowering stakeholders to monitor critical metrics, take data-driven choices, and effectively address the expanding epidemic. Tableau offers a valuable tool for tracking COVID-19 variations, outbreaks, and emerging trends, which could be crucial for public health surveillance. This could entail combining data from syndromic surveillance, testing, and genetic sequencing to identify early warning indicators of resurgence and guide containment efforts. In order to assist decision-makers, public health professionals, and other stakeholders in responding to the pandemic with evidence-based choices, Tableau may provide decision support tools. To help with coordination and collaboration, this could include communication dashboards, policy effect assessments, and scenario planning tools. Tableau offers a platform for researchers, policymakers, and practitioners to share COVID-19 data, insights, and best practices, which may promote international collaboration and knowledge sharing. This is entail holding online communities, webinars, and virtual conferences with an emphasis on COVID-19 data analysis and visualization.

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COVID-19, Tableau, Data Visualization, CVC File

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Social Networking Site Per Cyber Apradh

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Social Networking Site Per Cyber Apradh

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This paper offers a review of the literature on the theoretical and practical working of Approximate parallel prefix adders (APPAs). Approximate parallel prefix adders are innovative designs for high-speed arithmetic circuits used in digital signal processing and other computational applications. Unlike traditional adders that prioritize exactness, APPAs leverage approximations to achieve substantial performance gains in terms of speed and energy efficiency. This abstract explores the fundamental concepts behind APPAs, highlighting their design principles, operational advantages, and potential applications in modern computing systems. By sacrificing precision to optimize throughput and resource utilization, APPAs represent a promising frontier in the field of parallel prefix computation.

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VLSI, Verilog, Parallel prefix adders

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The Asur tribe of Chotanagpur, India, presents a compelling case study of cultural transition and adaptation, particularly from their traditional practice of iron smelting to embracing agriculture. This paper explores the historical trajectory, socio-economic factors, and cultural dynamics that have shaped this transition over time. Drawing upon ethnographic research, historical accounts, and anthropological studies, this paper sheds light on the transformational journey of the Asur tribe, highlighting the pivotal role of external influences and internal dynamics. The Asur tribe, known for their expertise in iron smelting, inhabited the dense forests of Chotanagpur for centuries, relying on this craft for their livelihoods and sustenance. However, with the advent of modernization, colonialism, and changes in land-use patterns, the traditional practice of iron smelting gradually declined. The paper examines the socio-economic pressures and environmental changes that contributed to the diminishing significance of iron smelting among the Asur community. Furthermore, the paper delves into the process of adaptation and resilience displayed by the Asur tribe as they shifted towards agriculture as a primary means of subsistence. It analyzes the factors that facilitated this transition, including government interventions, agricultural policies, and socio-cultural dynamics within the community. Additionally, the paper explores the challenges and opportunities encountered by the Asur tribe in embracing agriculture, such as land ownership issues, access to resources, and integration into mainstream society. Through a comprehensive analysis of the Asur tribe's journey from iron smelting to agriculture, this case study offers valuable insights into the complexities of cultural change and adaptation in indigenous communities. By examining the interplay of historical, socio-economic, and cultural factors, this paper contributes to a deeper understanding of the dynamics of livelihood transition among tribal societies

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Asur tribe, Chotanagpur, iron smelting, agriculture, cultural transition, socio-economic factors, adaptation, indigenous communities

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The study is an outcome of the topic called as the " Employees Performance Appraisal at Textile Industries located at Puducherry Region." The research is descriptive and the sample method used convenience sampling nearly 170 samples are taken to study the performance appraisal in the organisation. Primary data such as questionnaire and interview have been conducted to collect the data from the employees.

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Performance Appraisal, Awareness, Performance Level, Appraisal System, 360 degree, MBO, Satisfaction Level.

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This paper delves into the profound impact of Rabindranath Tagore and Sri Aurobindo on Indian culture and society, recognizing the enduring legacy they have left for future generations. Both figures played pivotal roles in shaping various aspects of Indian life, encompassing literature, spirituality, education, and nation-building. Tagore, with his poetic genius and visionary ideals, advocated for a harmonious global community grounded in cultural diversity and mutual respect. His educational experiments at Santiniketan established a foundation for holistic learning, prioritizing creativity and self-expression. Conversely, Aurobindo articulated a spiritual philosophy envisioning humanity's evolution towards higher consciousness, catalysing transformations in individual lives and societal structures. Emphasizing 'truth,' 'beauty,' and 'goodness' as fundamental educational ideals, both Tagore and Aurobindo stressed the holistic development of body, emotions, and intellect, advocating for education in the mother tongue to foster freedom of mind and peace. Indian English Literature owes a significant debt to Sri Aurobindo Ghosh, while acknowledging that Tagore's multifaceted personality flourished due to a confluence of favourable environmental factors. This paper endeavours to elucidate the enduring relevance of Tagore and Aurobindo in navigating the complexities of contemporary Indian society, fostering a deeper understanding of its cultural and spiritual heritage.

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Keywords: Humanism, Inspiration, Divine, Spirituality, Nature, Love, Philosophy.

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This study investigates the effectiveness of various deep learning methodologies in evaluating disease severity across prevalent health conditions, encompassing COVID-19, heart disease, pneumonia, and wheezing. Leveraging Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Bidirectional LSTMs (Bi-LSTM), and K-Nearest Neighbors (KNN), we analyze a dataset consisting of 1000, 3460, 3468, and 2952 samples categorized into low, medium, and high severity classes. Partitioning the dataset into training and testing sets, we utilize MATLAB for comprehensive simulation and efficiency evaluation through confusion matrices. Our findings reveal CNN's remarkable performance in heart disease and pneumonia classification, while Bi-LSTM excels in wheezing and pneumonia identification. The study aims to develop a robust hybrid model for accurately categorizing diseases into distinct risk levels, thereby augmenting patient outcomes, and facilitating clinical decision-making. The conclusions drawn from the comparative analysis table underscore the exemplary performance of all models across various disease categories. KNN achieves perfect accuracy (100%) in all disease categories, showcasing its robustness. CNN consistently delivers strong results, with accuracies ranging from 87.56% to 100% across heart disease, pneumonia, wheezing, and COVID-19 categories. Similarly, LSTM and Bi-LSTM exhibit high accuracy rates, ranging from 86.06% to 100%, across different disease categories. Overall, the study underscores the potential utility of these models in disease severity assessment and healthcare decision-making.

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Disease Severity Classification, Deep Learning Models, CNN, LSTM, Bi-LSTM, KNN, Heart Disease, COVID, Pneumonia, Wheezing, Risk Assessment, Healthcare Management, Medical Diagnostics, Hybrid Model, Predictive Modeling

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Among the classical Indian dance genres that have their roots in India is Bharatanatyam. Classical dance can be defined by having a theory, training method and explanation for expressive practice that may be traced back to old classical writings. The study of the classical texts, physical intensive training are necessary for classical Indian dances, which have traditionally involved a school or guru-shishya parampara. It is stated that the three syllables "bha-ra-ta" are the origin of the word Bharatanatyam. Bhava, Ragam, and Tala come together to form Bharatanatyam. Indian philosopher, Vedanta Desika, who propagated Ramanujam's theory, is credited with giving this significance. The ensemble of items presented in a Bharatanatyam recital is referred to as Margam. Many Gurus and dance practitioners continue to adhere to the structure, even though the dance repertoire is subject to periodic changes. This study uses a descriptive research methodology to analyse the items performed in a Bhatanatyam recital, their history and significance.

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Margam, Tanjore Quartet, Bharatanatyam, Alarippu, Jatiswaram, Sabdam, Varnam, Swarajathi, Padam, Javali, Tillana, Slokam, Virutham.

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