Volume 13 | Issue 1

 Abstract

In today's fast-paced world, sustainable wellness necessitates a holistic approach that encompasses the mind, body, and spirit. Yoga, an ancient practice rooted in mindfulness and balance, offers a timeless pathway to achieve enduring well-being. This paper explores yoga's multidimensional benefits, from fostering physical strength and flexibility to enhancing mental clarity, emotional resilience, and spiritual connectedness. Supported by scientific evidence and traditional principles, yoga equips individuals with tools to cultivate balance, align with their values, and navigate life's challenges with grace. By integrating yoga into daily life, one can achieve sustainable wellness that nurtures personal and collective harmony.

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Yoga, Sustainable Wellness, Balance, Mindfulness, Holistic Health, Emotional Resilience, Spiritual Connection

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??????- ?????(?????-?????? ?? ??????), ????????? ?????- ??????? ?????, ???????-, ???-?????? -???? |

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Hatharatnavali mein Varnit Aasanon ka Sharirik Swasthya par Prabhav : Samikshatmak Adhyayan

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Hatharatnavali mein Varnit Aasanon ka Sharirik Swasthya par Prabhav : Samikshatmak Adhyayan

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India's pursuit of a Uniform Civil Code (UCC) reflects the nation's effort to balance its constitutional commitment to secularism with its deeply rooted cultural and religious diversity. This paper examines the complexities and challenges of implementing a UCC in India by drawing comparisons with the secular civil codes of Turkey and Egypt. The study explores India's historical, constitutional, and socio-cultural landscape, highlighting the barriers to UCC implementation, including resistance from religious communities, legal complexities, and political dynamics. By analyzing the approaches of Turkey and Egypt, the paper offers insights into reconciling secular legal systems with diverse religious traditions. It emphasizes the importance of inclusivity, equality, and justice in formulating a UCC that harmonizes India's pluralistic identity while safeguarding individual rights and promoting national unity.

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UCC,Secularism,Religious Diversity

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GCC countries can be seen as a region of extreme mobility, be it voluntary or forced. It is one of the largest recipients of labour migrants in the entire world. The history of migration inflows in the GCC countries can be segregated into pre-oil and post-oil periods. Mass migration to GCC countries started in the 1960s, however, post the discovery of oil reserves and the oil boom in 1970, these GCC countries became the magnets for international migration attracting all sorts of people towards them. Moreover, the Arabian Gulf has a long history of global connectivity and interaction with its neighbouring countries. So, the oil boom in the area had pushed rapid development, which further necessitated a demand for labour. Due to small population sizes in the Gulf, GCC countries relied on imported labour to balance out their local labour deficits, which have primarily been sourced from the Indian subcontinent and South Asia. According to the data released by UNDESA in 2019, there were 35 million international migrants in GCC Countries (ILO 2021). Saudi Arabia stands first, receiving more than 13 million migrants among other GCC Countries. Moreover, more than 9 million migrants (almost 50 per cent of India's total migrants) reside in GCC countries, which is again more than 25% of total Gulf migrants directly coming from India. Hence, the large number of migrants in these Gulf countries, bring not only their skills but also their social, gender, cultural, religious and political identities. In this regard, this paper tries to highlight the issues of labour migration in the GCC countries peeking through the socio-economic and cultural dynamics of labour migrants.

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Labour Migration, GCC Countries, Socio-Cultural Discrimination, Segregation, South Asia,

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The present research investigates the use of Achille Mbembe's notion of necropolitics in Peter Porter's poems Your Attention Please and Competition is Healthy. Through qualitative research of Australian history and literature, it investigates Porter's critique of the nexus of power, mortality, and society systems. Necropolitics, which examines sovereign powers' influence over life and death, gives a prism through which to view Porter's work on colonial exploitation, nuclear politics, and the fragility of human existence. The study focusses on Porter's use of irony, vivid imagery, and intertextual references to emphasize the dehumanizing impacts of governmental control and societal inequality. In Your Attention Please, the bureaucratic notice of a nuclear strike contrasts ordinary rituals with existential dread, illustrating the normalization of mortality in global dynamics. Similarly, Competition is Healthy criticises the commodification of human beings, societal hierarchies, and the degradation of moral norms in colonial and capitalist societies. This study uses necropolitics and poetic analysis to explore the long-term impact of colonial brutality and political hegemony on Australian identity and literature. Porter's work, which is grounded in both German and Australian cultures, emerges as a striking commentary on the human condition within the intricacies of modern geopolitics.

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Necropolitics, Australia, Nuclear Politics, Competition, Human Existence

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'Shantata! Court Chalu Aahe' is a 1967 Marathi play by Indian playwright Vijay Tendulkar. The play is translated into English by Priya Adarkar. First performed in 1971 at the Museum Theatre, Madras, the play is a portrayal of unjust societal behaviour, a criticism of the social and gender injustice faced by women. This research paper aims to dwell into the heart of the orthodox Indian mindset and the realistic interpretation of aspects of rape, violence against women, mockery of human trauma, Kama or mental pleasure, misogyny and sexual objectification. By referring to parallel texts, we see various dimensions and facets of the play that were unexplored with the first reading of the actual play. By analyzing the play alongside real-world examples, the paper highlights the ongoing struggle for gender equality and the persistence of patriarchal norms. Tendulkar's work is a powerful critique of societal attitudes and continues to resonate as a call for introspection and change.

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Society, Gender bias, Misogyny, Independence

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Dysmenorrhea is a painful menstruation that is characterized by pain that occurs shortly before the onset or during the menstrual flow persisting for one to several days during the menstruation. Dysmenorrhea (period pain) affects around three-quarters of adolescent girls under the age of 25 worldwide. An evaluate approach with pre experimental one group pretest posttest design was used to evaluate the effectiveness of self-instructional module on knowledge regarding management of dysmenorrhea among the adolescent girls in selected colleges. The objectives of the study were to assess the knowledge regarding the management of dysmenorrhea among adolescent girls, to evaluate the effectiveness of a self-instructional module on knowledge regarding the management of dysmenorrhea among adolescent girls and to determine the association between pre-test knowledge scores regarding the management of dysmenorrhea among adolescent girls and selected demographic variables. . Total 60 adolescent girls were selected by purposive sampling technique. The data was collected by using structured knowledge questionnaire on management of dysmenorrhea and was analysed by using descriptive and inferential statistics. . The result of the study reveals that during the pretest majority, 54 (90%) adolescent girls had poor knowledge levels and 6 (10%) had moderate knowledge of management of dysmenorrhea. During the post-test majority of 38 (63%) gained excellent knowledge and 22 (37%) got good knowledge. Area-wise analysis of pretest and posttest knowledge of adolescent girls regarding management of dysmenorrhea shows that the overall pretest knowledge mean was 9.33 with a mean percentage of 31% and the posttest knowledge mean was 28 with a mean percentage of 85%. The variables such as age, gender, religion, educational qualification, occupation, marital status, place of residence, type of diet, family history, duration of illness and source of information does not show any significant association.

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Dysmenorrhea, Self-Instructional Module

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The annexation of the kingdom of Avadh happened in the year 1856 on the pretext of misgovernment setting out sparks of revolt in the capital city of Lucknow. The kingdom became a province of British India. The Government now vested in Sir James Outram as Chief Commissioner and three senior civil servants, was promptly despatched with the necessary quota of troops to organise divisional administration Lucknow. The city became the focal point of the war of 1857.Some historians regard Lucknow to be the seat of the outbreak of the revolt.

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revolt, British, Lucknow, independence, sepoys

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Native Indian writers like Zitkala-?a have written a great deal about the bad experiences and cultural unrest that occurred in boarding schools under the guise of education and civilization. As she was trained in the customs of the white culture, she had a longing for her Dakota culture. She uses the innocent story of a child, steeped in the trickster tradition, to describe the range of these feelings, evoking from her readers an unanticipated empathy. The author provides context for the broken family dynamic that left her and her mother isolated, with a strained mother-daughter bond and a troubled past. Her schooling causes her to lose her cultural connections, and she becomes distant and disinterested in her family. Her short stories in the book illustrate her sense of identity loss, discontentment, and melancholy as a result of her displacement. This research paper will provide an in-depth analysis of the compelling themes of nostalgia, melancholy, and return to childhood found in Zitkala-?a's short story collection. That these Native Indian authors of America were subjected to the brutal realities of cultural assimilation and demolition during the height of the twentieth century, shall be a significant underlying theme of the paper.

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Native Indian, Native American, American Indian, Amerindian, Sioux, Zitkala-?a, Nostalgia, Childhood.

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Gandhi -Vadmay Me Rajniti Av Manavjivan Ka Ant Sambhand

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Gandhi -Vadmay Me Rajniti Av Manavjivan Ka Ant Sambhand

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Myristica fragrans, known commonly as nutmeg or mace, is a member of the Myristicaceae family. This aromatic evergreen tree features wide-spreading branches and yellow flesh. Nutmeg serves as a spice with a long-standing history in both culinary and medicinal applications. It possesses a variety of bioactive compounds that may offer health benefits, prompting growing interest within the food, pharmaceutical, and nutraceutical sectors. The essential oil derived from Myristica fragrans exhibits properties that are antimicrobial, antiseptic, antiparasitic, anti-inflammatory, and antioxidant. Many nutmeg varieties contain terpenes and phenylpropenes. Nutmeg is regarded as a vital element in numerous industrial uses, ranging from food products to cosmetics. Its pharmaceutical formulations are particularly noteworthy for their antioxidant and antimicrobial effects. Furthermore, nutmeg is rich in active components that help reduce oxidative stress, lipid peroxidation, and allergic reactions. It is incorporated into medicinal preparations for conditions such as dysentery, flatulence, stomach pain, nausea, vomiting, rheumatism, sciatica, malaria, and the initial stages of leprosy.

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Health promoting ,bioactive compounds, antioxidant , anti inflammatory ,nutraceutical

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This research aims to delve into the application of machine learning (ML) models to predict student performance in programming education. The primary goal is to enhance the learning experience by identifying at-risk students early and providing targeted interventions. The study will analyse a variety of features such as engagement metrics, prior academic performance, and demographic data, aiming to develop a robust predictive framework that can be seamlessly integrated into educational systems. Leveraging recent advancements in educational data mining and machine learning, this research will draw insights from studies published between 2020 and 2024 (Jordan et al., 2020; Smith & Taylor, 2023).

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Programming Education, Student Performance Prediction, STEM Education, Learning Management Systems (LMS), Educational Data Mining

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The process of weaving continues to be one of the most intricate chains of transformation within the textile industry. This complexity arises from the diverse range of structures, the multiple stages involved, the intricate machinery utilized, the utilization of various materials, and the combination of both creativity and precision. Consequently, there exists a necessity for tools that can enhance efficiency, flexibility, and decision-making within this field. This review of existing literature aims to provide pertinent information regarding the utilization of logic in the realm of weaving. In this research study, a systematic literature review methodology was employed to examine the application of fuzzy logic within the weaving process. Data for this study was collected from reputable databases, including Science Direct, IEEE Xplore, Textile Research Journal, and Google Scholar. To select relevant articles for this study, the Prisma framework was utilized, resulting in the inclusion of solely journal articles for the literature review. A comprehensive framework was developed to elucidate the impact of employing fuzzy logic, the approach presented in this framework provides a comprehensive and highly effective method for tackling the complex challenges associated with ambiguity, modification, and subtlety that are frequently observed in the intricate and intricate process of weaving. The findings of various studies explored aspects such as the properties of warp and weft fabrics, the performance of weaving machines, the organizational performance of weaving companies, and occupational health and safety concerns. While these studies have provided valuable solutions, they unfortunately remain insufficient in the face of the weaving process, which persists as a complex field characterized by uncertainties, variations, and intricacies that are inherent to the practice. This uniqueness of each woven product fosters an environment conducive to experimentation and further research.

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Fuzzy logic, Warp, and weft fabrics, weaving loom, weaving company, working conditions, Weaving productivity.

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Cloud-based Electronic Data Interchange (EDI) technology has become a cornerstone in modern business operations, particularly in B2B transactions and Enterprise Resource Planning (ERP) systems. Its seamless ability to exchange critical information securely and efficiently across platforms plays a pivotal role in safeguarding America's economic and strategic interests. In the B2B landscape, cloud-based EDI enables real-time data sharing between partners, improving supply chain visibility and operational efficiency. This agility is vital for maintaining a competitive edge in global markets. Furthermore, EDI reduces manual errors and ensures compliance with regulatory standards, fostering trust and reliability in trade networks. When integrated with ERP systems, cloud-based EDI enhances data accuracy and streamlines internal processes. This synchronization enables businesses to respond swiftly to market demands, improving decision-making and resource management. Such efficiency is crucial for ensuring resilience and sustainability in key industries that underpin the nation's economy. Moreover, the cloud-based nature of EDI technology offers enhanced security and scalability. Its robust encryption and compliance protocols protect sensitive data, mitigating risks of cyber threats and safeguarding critical infrastructures. By adopting cloud-based EDI solutions, businesses not only achieve operational excellence but also contribute to securing America's economic stability and technological leadership in an increasingly interconnected world.

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Cloud-based EDI, B2B transactions, ERP systems, data accuracy, supply chain visibility, operational efficiency, regulatory compliance

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This review explores the dynamics of forest cover in India by focusing on land use and land cover (LULC) data to assess the extent of forest degradation over recent years (2019, 2021, and 2023). The study specifically investigates how forests have been affected by land use changes, considering the significant impact of deforestation, urbanization, and agricultural expansion. India's diverse forest types include tropical evergreen, tropical deciduous, swamp, mangrove, sub-tropical, montane, scrub, sub-alpine, and alpine forests, each contributing to a unique ecosystem that supports a rich variety of flora and fauna. However, with increasing land use pressure, these forests are undergoing substantial degradation. This study highlights the urgent need for well-defined and sustainable land management policies, alongside national programs like the National Afforestation Programme and the Green India Mission, which aim to mitigate deforestation and promote reforestation efforts. The findings from this review emphasize the critical need for continued and enhanced conservation initiatives, offering actionable insights to policymakers and environmental stakeholders. By analyzing the trends in LULC data from 2019, 2021, and 2023, the study provides a clear picture of the rate of deforestation and forest degradation in India, along with recommendations for sustainable forest management practices that balance ecological conservation with economic development. As part of this project, an interactive website will be developed to serve as a comprehensive platform for exploring LULC data and trends related to forest degradation and deforestation in India. This platform will provide users with access to historical data from 2019, 2021, and 2023, as well as the most current data available for 2024. The website will employ visual tools like pie charts, bar graphs, and comparative maps to allow users to easily explore changes in forest cover, identify areas of significant deforestation, and track trends in land use over time. In addition to data analysis, the platform will feature the latest news, updates, and reports on forest cover, degradation, and conservation initiatives, including national and state-level policies, programs, and local efforts aimed at curbing deforestation. This centralized resource will not only raise awareness about the ongoing challenges of forest degradation but will also help stakeholders--ranging from policymakers to environmental organizations--make informed decisions about land management and forest conservation.

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Land Cover, Land Use, Green India Mission, comparative maps

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The Indian cement industry is the second largest in the world after China. It is playing vital role to providing employment, infrastructure and housing sector. The production capacity is projected to reach 550-600 Million Tonnes Per Annum (MTPA) by financial year 2023. The research paper mainly focuses on analysis of profitability of selected cement companies in India during the period of 2012 to 2021, the tools used for analysis are mean, standard deviation, co-efficient of variation, the study found that the profitability position of (ULTRA TECH, RAMCO, SHREE, JK LAXMI, and PRISM).

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Cement Indusrries

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The thyroid and parathyroid glands play crucial roles in maintaining metabolic and calcium homeostasis through their respective hormones. The thyroid gland produces thyroxine (T4) and triiodothyronine (T3), which regulate metabolic rate, energy production, growth, and development. Dysregulation of these hormones can lead to conditions such as hyperthyroidism, characterized by increased metabolism, or hypothyroidism, marked by reduced metabolic activity. In contrast, the parathyroid glands secrete parathyroid hormone (PTH), which is essential for calcium regulation. PTH increases blood calcium levels by stimulating bone resorption, enhancing renal calcium reabsorption, and promoting intestinal calcium absorption through vitamin D activation. Disorders such as hyperparathyroidism or hypoparathyroidism result in significant complications, including bone demineralization, renal stones, and neuromuscular dysfunction. Together, thyroid and parathyroid hormones demonstrate a complex interplay vital for physiological balance, with their dysregulation leading to systemic effects that require targeted diagnostic and therapeutic approaches.

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Thyroid hormone, Parathyroid hormone, Thyroxine (T4), Triiodothyronine (T3), Parathyroid hormone (PTH), Hyperthyroidism, Hypothyroidism, Hyperparathyroidism, Hypoparathyroidism, Calcium homeostasis, Metabolic regulation, Bone resorption, Vitamin D activation, Endocrine disorders, Hormonal balance.

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This article provides a comprehensive analysis of the United Arab Emirates' (UAE) soft power strategy, examining its economic, social, cultural, and diplomatic dimensions. Through initiatives such as renewable energy projects, humanitarian aid programs, and cultural diplomacy, the UAE has established itself as a global leader in soft power. Using a multidisciplinary approach, this study evaluates the effectiveness of the UAE's integrated strategy in enhancing its international influence and fostering global partnerships.

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General Overview of the UAE's Soft Power Strategy: A Multidimensional Approach

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Breast cancer is recognized as a significant health issue affecting women worldwide. Early detection and treatment of breast cancer can help lower the risk of long-term complications, such as the increased likelihood of developing advanced-stage cancer. Thus, timely and accurate diagnosis is crucial for reducing the overall burden of breast cancer on healthcare systems. Recently, machine learning (ML) and ensemble learning techniques have demonstrated great potential in medical diagnostics. In our study, various ML models including logistic regression (LR), random forest (RF), support vector machines (SVM), k-nearest neighbor (KNN), and XGBoost were employed alongside feature selection methods to identify the optimal features and best-performing model. Experiments were conducted using a breast cancer dataset with a 80:20 train-test split ratio and a 5-fold crossvalidation (CV) approach was used to assess model performance. Among the models tested, KNN emerged as the best-performing model, achieving a testing accuracy of 99.00% and a cross-validation score of 97.00%.

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AI, K-closest neighbours, Support vector machine, Decision tree classifier.

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