Volume 11 | Issue 10 |

 Abstract

Parikartika is a frequently encountered anorectal ailment. Typically, Parikartika is likened to a fissure in ano due to its significant discomfort. In Ayurvedic literature, Parikartika is not classified as an independent medical condition but rather as a complication arising from various Ayurvedic therapies such as Vaman, Virechana, and Basti, as well as from certain ailments like Arsh and Atisar, and Grahani. An individual's well-being is closely tied to their dietary choices, constipation, environmental factors, and way of life. In our contemporary world, lifestyle-related disorders like hypertension, diabetes mellitus, hypothyroidism, obesity, and more are affecting a substantial portion of the global population. Anorectal disorders such as fissures in ano and hemorrhoids can be attributed to poor dietary habits and an unhealthy lifestyle. Traditional treatments for fissure in ano, as described in Ayurveda (Gudaparikartika), involve a holistic approach combining dietary modifications, lifestyle changes, and herbal therapies. Moreover, modern medical interventions, including topical medications, botulinum toxin injections, and surgical procedures like lateral internal sphincterotomy, have shown efficacy in managing chronic and recurrent fissures.

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 Keywords

Basti, Chhedandvat Shool, Guda, Kartanwat, Vaman, Virechana

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 Abstract

"Phyto" means plant and "some" means something like a cell. The pharmacokinetic and pharmacodynamic properties of phospholipid complexes are superior to traditional herbal extracts [1]. Phospholipid complexes are also known as new drugs with lipophilic complexes consisting of glycerophospholipids obtained from different plants. Phytosomes are used in phytomedicine, herbal medicines and Ayurvedic formulations [2]. It is also called Herbosome, which is a new patented technology. Phytosome or Herbosome technology increases the hydrophilicity of highly lipophilic drugs, making them suitable for drug delivery and increases the lipophilicity of hydrophilic botanical components [3]. Phytosomes are usually prepared by reacting one or two moles of polyphenolic plant components with phospholipids. T. There are many products on the market containing herbal medicine such as ginkgo biloba, milk thistle and tea tree. This review describes the latest definitions of the classification, its types, characteristics and features [4]. This article discusses the physicochemical and pharmacological properties and structures of phospholipids [5]. Phospholipids have dual solubility and act as emulsifiers. Phospholiposomal technology can serve as a bridge between new and traditional delivery systems [6]. Phospholipomas are a new drug delivery method based on phytochemistry. In addition to improving the processing of many plant compounds, they also have better absorption and higher bioavailability [7]. Plant ingredients have been used in medicine since ancient times due to their pharmacological effects [8].

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 Keywords

Phytosomes, liposomes, bioavailability, new drug delivery systems (NDDS), phospholipids, plant ingredients.

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Creative Commons Attribution 4.0 and The Open Definition

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Guava (Psidium guajava Linn.) commonly known for its food and nutritional values throughout the world. The medicinal properties of guava fruit, leaf and other parts of the plant are also well known in traditional system of medicine. Since, each part of guava tree possesses economic value; it is grown on commercial scale. Guava plant is considerable process has been achieved regarding the biological activity and medicinal application of guava and the fruit considered as poor man apple of tropics. The guava plant parts are used for the development of various industrial and pharmaceutical products. In the present review, nutritional value of guava fruit and medicinal properties its various parts have been discussed to provide collective information on its multi purpose commercial values.

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 Keywords

Antibacterial effects of guava and aloe , Medicinal applications , Anti-inflammatory activity .

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Creative Commons Attribution 4.0 and The Open Definition

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Background: Maternal Mortality Ratio (MMR) of India for the period 2016-18, as per the latest report of the national Sample Registration system (SRS) data is 113/100,000 live births. Total estimated annual maternal deaths declined from 33800 maternal deaths in 2016 to 26437 deaths in 2018. The Government of India has been focusing on initiatives to improve maternal health indicators. Thus, the screening of high-risk pregnancy is a best strategy to improve knowledge and skill among nurses working in maternity unit to reduce MMR and maternal morbidity. Aim of the study is "A study to assess the effect of hands on training on Knowledge and Skill regarding Screening of High-Risk Pregnancy among the Nurses of selected Maternity unit in urban area." Materials and Method: A pre-experimental study method was undertaken where 60 nurses working in selected maternity unit in urban area were recruited as sample by non-probability convenient sampling method. Using knowledge questionnaire for knowledge 25 questions and skill 156 by observation checklist. After collection of data, it analysed using both descriptive and inferential statistics to describe and show the association between the variables Result: The 't in the pre-test the mean of the knowledge score obtained by the Nurses was 16.56 and in the post test it rise to 21.30. The knowledge score of the Nurses shows marked improvement after giving Hands on training. It is evident that the calculated 't' value is greater than the table value of 't' (2.05) at 0.05 level. This indicates that Hands on training is effective in improving the knowledge of the Nurses. Hence H0 is rejected and H1 is accepted. There is a significant improvement in scores from pre to post test at 5 % level i.e., p Conclusion: The high-risk pregnancy increases the burden of maternal morbidity and mortality, to reduce the MMR early detection and screening of High-Risk Pregnancy is one of the strategies. This study finding highlights that the Hands-on Training improves the knowledge and skill regarding Screening of High-Risk Pregnancy among the nurses. Thus, hands on training regarding high-risk pregnancy is effective method to improve knowledge and skill. The competent nurses by doing the early detection and Screening of High-Risk Pregnancy achieve the Sustainable Developmental Goal MMR

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 Keywords

High-Risk Pregnancy, Nurses, Maternity unit.

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In South Asian Diasporic Literature, Anita Rau Badami is among the most well-known authors. Her novels predominantly focus on rootlessness themes such as displacement, estrangement, loss of identity, patriarchal challenges, unacceptance, and self-identity exploration. Her third literary work, Can You Hear the Nightbird's Call? intends to elucidate the condition of a settler's life in a foreign land through the character Leela and her mother Rosa Schweers. Both battle to assert their identities in an alien land to manage their connection with an unfamiliar culture and toil to set up a new abode for them. Rosa's in-laws do not accept her, as they consider her a 'casteless German.' Whereas, Leela as a combination of two identities is overlooked by her relatives due to her mixed cultural and racial background. By including the idea of in-betweenness through diaspora, Badami has expanded her novel. She emphasizes the word "in-betweenness" to explain the notion of multiculturalism. Through various incidents, Anita Rau Badami has revealed the cultural clash and the journey of adjusting to these cultures. This article explores in depth her mother Rosa Schweers, her origin, her marriage to an Indian, her traumatic experiences at her in-law's house, her restricted relationship with her daughter Leela, and her untimely death.

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 Keywords

Displacement, Estrangement, Casteless German, Patriarchal Challenges, and Unacceptance

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In this research paper we present the creation and development of a shopping cart that incorporates an automated billing system using Arduino microcontroller technology. The main goal of this system is to enhance efficiency and convenience in the shopping experience by integrating technological features. The smart shopping cart includes sensors and modules such as RFID technology for product identification, weight sensors for real time inventory management and a user friendly interface for interaction. The automated billing system, synchronized with the cart enables calculation of the purchase cost making the checkout process swift and hassle free. By exploring both hardware and software components and incorporating algorithms we outline a comprehensive implementation of this smart shopping cart system. Experimental results demonstrate how effective our proposed system is, in optimizing the shopping experience by reducing checkout time and ensuring billing. This research contributes to advancing retail automation technologies by providing insights into integrating systems within the retail industry

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The present study was focus on impact of social media on PG Students Academic Performance: A Study. The main objectives of this study is to investigate the impact of social media on PG students in universities and different aspects associated with it, such as using of social media, types of social networks, purpose of using for academic work and so on etc. this article also describe that many of the respondents spend to an hour or more to visit their social networking sites, many of the users also use the sites several times in a day.

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Social media, Universities, Google, Facebook

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Creative Commons Attribution 4.0 and The Open Definition

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Timetabling involves organizing sets of activities to create a schedule that accommodates various constraints. In the context of higher education institutions, a timetable refers to a temporary structure that outlines lecture series and assigns lecture halls or classrooms while ensuring that all relevant constraints are satisfied. Unfortunately, despite the automation of many administrative tasks in higher education, the process of creating lecture timetables has been overlooked due to the complexities involved. Traditionally, preparing such timetables has been a laborious, intricate, and time-consuming process, characterized by weeks of consultations with stakeholders, including students and department staff. It often involves continuous adjustments based on feedback. The need for a solution led to the development of computer-assisted timetable generators, which significantly save time for administrators responsible for course and timetable management. However, not all software solutions on the market can cater to the unique timetabling challenges of every institution. Therefore, there's a need for a practical approach to creating a customizable timetable program suitable for various higher education timetabling problems. To achieve this, the Rapid Application Development (RAD) software development model was employed. The primary goal of this project is to develop a hands-on timetable algorithm capable of addressing both weak and strong constraints within an automated timetable system, ensuring flexibility, adaptability, and the ability to deliver results within a limited timeframe to tackle the challenges associated with higher education timetabling.

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 Keywords

Automatic Timetable Generator, optimization, web application

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In the modern world, individuals often require financial assistance to meet their daily needs. Consequently, banks find themselves inundated with a substantial number of loan applications. Handling this influx demands significant time and manpower resources. To address this challenge, we propose the development of a predictive model that leverages a loan dataset sourced from Kaggle. This model streamlines the loan application process and provides predictions on whether a specific loan application can be approved. It employs a supervised learning algorithm, a machine learning approach, to make these predictions.

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 Keywords

Logistic Regression, Decision Trees, Random Forest, Neural Networks, Xgboost , Datasets.

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The electrical power system has now grown into a more complex, integrated network that is continually expanding. As a result, the power system is afflicted by a variety of problems, including increasing power losses, voltage volatility, line overloads, and so on. The optimization of actual and reactive power by placing energy resources at appropriate buses can minimize losses and improve voltage profiles, especially in congested networks. As a result, the optimal renewable energy allocation (ODGA) issue is viewed as a more relevant tool for power system planning and operation operations, as the power grid rapidly changes dependent on the type and penetration level of renewable energy sources (RESs). In this article, the Aquila optimizer is utilized to alleviate this issue and reduce stress on the primary grid, making the grid more resilient. The Aquila optimizer (AO) is also employed in the optimization of distributed network. The approach proposed in this work has many objectives, including minimizing power loss and overall voltage fluctuation in a distribution system while keeping system operational and security restrictions in mind

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 Keywords

Tie switches, Aquila optimizer, binary Aquila optimizer, power loss

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