Volume 12 | Issue 5 |

 Abstract

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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employee safety, Employee Health and Employee Environment

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Tableau, Data Visualization, CVC File

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social Networking Site Per Cyber Apradh

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Creative Commons Attribution 4.0 and The Open Definition

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Social Networking Site Per Cyber Apradh

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

VLSI, Verilog, Parallel prefix adders

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition