Volume 11 | Issue 9 |

 Abstract

Metal nanoparticles in ionic liquid media has various impacts in many fields which include research areas, technology, energy and many other fields of science . Since we know that when we use two different metal combinations during synthesis we obtain bimetallic nanoparticle. In recent years BMNPs have been concerned with great consideration as compared to monometallic NPs in many fields like medical, technology or systematical science because bimetallic NPs includes cuo or cuo2 or Fe and their oxide or ag-cu, Fe-cu nanoparticles combination.

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 Keywords

Nonotechnology, nanoparticles, bimetallic ag-cu alloy, naocomposites

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 Abstract

Abstract: Physical exercise is a bodily activity which involves body calorie burn and which maintains overall health and wellness. Yoga is the spiritual concept but nowadays it is becoming a very popular form of physical exercise. Suryanamaskar consists of 12 postures, chanted in a particular arrangement with a particular breathing pattern. Aerobic exercise training is an Augmentation of the energy utilization of the muscle by means of an exercise program. The need of the study is to compare the effectiveness of Suryanamaskar v/s Aerobics on the cardiopulmonary endurance of college students with inactive lifestyle so that a best exercise schedule can be followed by them to prevent the onset of the above mentioned diseases at an early age. Method - Approval from Ethical committee was taken. Students were divided into two groups A and B. Both the groups performed Harvard step test before the exercise protocol and the results were recorded. Group A performed Suryanamaskar and Group B performed Aerobics for 4 weeks under my observation. Harvard step test was performed after the 4 week protocol and the results were recorded. The results were compared by proper statistical analysis. Result - On comparison there is a significant improvement in the cardiopulmonary endurance of group B students who performed aerobics as compared to group A who performed Suryanamaskar. Conclusion - This study showed that there is significant improvement in the fitness index of both the groups after performing Aerobics and Suryanamaskar for 4 weeks respectively. On analysis of the post fitness indexes of Aerobics and Suryanamaskar, Aerobics was found to be clinically more effective than Suryanamaskar for improving cardiopulmonary endurance of college students with inactive lifestyle. Correspondence - Vaishnavi Chandratre, @vaishnavi141099@gmail.com

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 Keywords

Suryanamaskar, Aerobics, Cardiopulmonary endurance, Inactive lifestyle, Harvard step test.

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 Abstract

The past ten years have been extremely significant for the LGBT (lesbian, gay, bisexual, and transgender) Community; as a result of global acts of bravery and unification, the community has grown stronger and attracted a lot of support. The health equity research in India has revealed that the LGBTQ community is among the twelve marginalized groups with minimal representation, their discrimination and traumatic experiences directly contribute to certain correlates which affect their wellbeing and self-image (Self-consciousness).The main focus of the present study is the exploration of self-consciousness and emotional well-being among transgenders. In the LGBT community, the factors of self-consciousness like private self-consciousness, public self-consciousness and social anxiety as well as the factors related to emotional well-being (i.e. mental health, happiness, emotional resilience) are the main focus for their survival. Moreover, the trauma enforced upon them is so profound that it barely allows them to thrive and flourish, thus the need to explore the underlying causes behind it seems palpable. In this pursuit the proposed study is expected to uncover the aspects of their self-consciousness and emotional well-being, thereby, providing them with an opportunity to tap into their real self and experience the essence of bliss in their life.

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 Keywords

Self-Consciousness, Emotional Well-Being, LGBT Community, Lesbian, Gay, Bisexual, Transgender

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 Abstract

Every business organization need profit for its existence and for expand the business. They discharge the obligations to various segments of the society only through earning profits. The financial performance of the business organizations has a lot for all its stakeholders. The interested parties are very much concerned in profitability and whether there is efficiency in returns. An analysis of the performance of the business helps to assess the financial stability of such business. Financial performance refers to the process of determining financial strength of the firm establishing relationship between the items of the balance sheet, profit and loss account. The study is attempted to analyze the financial performance of Indian pharmaceuticals companies by using Z score model. The study concludes that the overall financial health of pharmaceutical industry is in healthy zone. The study concluded with five selected companies.

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Financial performance, z- score analysis, Financial health Ratios

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract Information and Communication Technology (ICT) is very effective in promoting a strong educational system around the world. ICT integration is broad umbrella which covers so many tools and practices and is an essential requirement in the process of education. It is well known that education is a tripolar process where three poles are student, teacher and curriculum respectively. In this regard content, pedagogy and ICT integration plays very crucial role. "Effective integration of technology is achieved when students are able to select technology tools to help them obtain information in a timely manner, analyse and synthesize the information, and present it professionally. The technology should become an integral part of how the classroom functions -- as accessible as all other classroom tools." -- National Educational Technology Standards for Students, International Society for Technology in Education. The usage of ICT also creates pathways for teachers regarding differentiated instruction to meet the unique needs of students as individual learners within a broader classroom climate. ICT rich environments allows teachers to experience interactive classroom teaching and construct multiple perspectives. In this direction, teacher education is an important training program which helps the teachers to learn how to deal with the students and make them learn effectively. It is very important for teachers to know how, when and why ICT is integrated with content and pedagogy so that it will be more productive. So, this paper is an attempt to focus on different domains of ICT integration in teacher education.

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Key Words- ICT Integration, Teacher Education, Pedagogy, Instruction

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Abstract: With the rapid development of cloud storage and quantum computing, ensuring the integrity of outsourced data for data owners has become a serious concern. To address this problem, existing protocols for auditing cloud storage are usually based on post-quantum cryptographies to check data integrity. Nevertheless, these protocols employ heavy cryptographic operations to construct the data tags, making their efficiency low and extensibility poor. In this paper, we take a new perspective and explore the possibility of designing Secure Cloud Storage (SCS) protocols based on the Ring Learning with Errors (RLWE) problem. Instead of matrix variables, our protocol only utilizes vector variables to generate data block tags so that it has a much lower computational complexity. We then give strict security proof of cheating resistance against the malicious cloud and privacy guarantee against the curious third-party auditor. We also extend the proposed protocol to support data dynamics and batch auditing for more application scenarios. As a further contribution, we summarize a systematic framework for designing lattice-based SCS protocols. Finally, exhaustive performance analysis and comparison are provided to verify that the proposed protocol outperforms the existing lattice-based SCS protocols in terms of both operational efficiency and functional extensibility.

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 Keywords

Cloud storage, Data integrity, Secure Cloud Storage (SCS), Ring Learning with Errors (RLWE), Data integrity, Cryptographic operations.

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 Abstract

Pollution by mercury is one such silent epidemic that affects almost all the biota connected in a food chain and food web of the ecosystem. Once mercury, in any form, enters the food chain, its concentration goes on increasing by many folds from the first trophic level to the last trophic level. The present study was planned to find out the status and extent of mercury pollution in and around the industry, nearer to Rushikulya River and Bay of Bengal. The analysis of the effluent in the past indicated the highly toxic nature of the effluent and its impact on the environmental parameters. The present study indicated that the effluent discharged from the industry, effluent in the effluent canal, solid waste dumping site, effluent soaking pond near the river bank, leaching effluent and sites where effluent joins the river is highly contaminated with mercury contained effluent. Significant level of mercury was detected in all aquatic and terrestrial samples tested. The effluent significantly altered the physico-chemical properties of the water bodies impacting the physico-chemical parameters. The dissolved oxygen was seriously affected which impacted the aquatic animals. Presence of elemental mercury in effluent and solid waste can be methylated by bacteria to ionic and inorganic forms which can pose a serious threat to the environment and available biota at the contaminated site. The effluent needs to be treated physically, chemically and biologically and after proper treatment the effluent can only be discharged in to the natural environment for protection of aquatic and terrestrial flora and fauna and most important is to protect the human beings inhabiting in the contaminated areas.

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Chlor-alkali industry, Solid waste, Effluent, Mercury, Physico-chemical analysis

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This comprehensive exploration "Probiotics and Prebiotics: A Global Perspective on Enhancing Human Well-Being," dives into the game-changing potential of these microbial agents in enhancing human health on a worldwide level. The article explores the origins of probiotics in conventionally fermented foods, emphasizing how they have evolved into contemporary nutritional powerhouses. Additionally, it emphasizes the critical function of prebiotics in supporting the gut flora, allowing for a better understanding of their combined effects on immune system regulation, digestive health, and the potential prevention of chronic diseases. This global viewpoint reveals the dynamic interaction between these microbes and the human body, drawing on a wealth of scientific research and clinical insights. It provides a comprehensive understanding of how probiotics and prebiotics might contribute to a healthier, happier world population. As we venture through this investigation, we experience the dietary sources, clinical applications, and arising difficulties related with probiotics and prebiotics. The article suggests that the symbiotic relationship between humans and these microorganisms may hold the key to a brighter and healthier future by emphasizing the promise of personalized interventions and innovative research.

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Probiotics, Prebiotics, Gut Microbiome, Digestive Health, Global Health

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The aims of this paper is to look at the impact of global studies on issues related to academic integrity in the modern digital era. These include using automated techniques to detect plagiarism online. Additionally, it discusses a number of crucial issues at the center of managing plagiarism in the digital age. It also discusses the actual challenges that educational institutions confront in juggling the demands of academic productivity, upholding the standards of truthfulness and integrity, and using methods such as evaluation or publication to produce outcomes. Digital lessons could be misused.

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 Keywords

Integrity, Digital, Software tools, plagiarism, Legal Standing

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Creative Commons Attribution 4.0 and The Open Definition

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The project "Customer Segmentation Using Machine Learning" is designed to address the crucial need for businesses to effectively understand and categorize their customer base. Customer segmentation, a fundamental aspect of modern marketing and business strategy, involves classifying customers into distinct groups based on shared characteristics and behaviors. This project leverages the power of machine learning, specifically the K-means clustering algorithm, to achieve this goal. In a rapidly evolving market, maintaining a diverse customer base is a challenging task. To overcome this complexity, businesses must focus on customer segmentation as it forms the cornerstone of informed decision-making. This project employs K-means clustering, an unsupervised machine learning algorithm, to categorize customers based on attributes such as age, annual income, spending habits, and more. Each resulting cluster represents a unique group of individuals with similar characteristics. The Mall Customers dataset serves as the foundation for this project, containing critical customer information. Using this dataset, our algorithm constructs a model that effectively clusters customers into segments. The implementation encompasses data gathering, preprocessing, feature extraction, K-means algorithm application, clustering, visualization, and suggested market strategies. The project concludes with the identification of the optimal number of clusters using the Elbow Method and presents visualizations of the clusters. By adopting this approach, businesses can make data-driven decisions, personalize marketing efforts, and enhance customer satisfaction. Customer segmentation through machine learning promises to revolutionize how businesses engage with their customer base, ensuring relevance and competitiveness in the dynamic business landscape.

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 Keywords

K-means, Machine Learning, unsupervised data, Unsupervised Learning, Customer Base

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Creative Commons Attribution 4.0 and The Open Definition