Volume 13 | Issue 1 |

 Abstract

Gandhi -Vadmay Me Rajniti Av Manavjivan Ka Ant Sambhand

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gandhi -Vadmay Me Rajniti Av Manavjivan Ka Ant Sambhand

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cement Indusrries

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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%.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition