Volume 11 | Issue 7 |

 Abstract

Acharyas have used the terms like Vrukkou, Gavini, Basti, Mutra praseka, Mutravaba Srotas, Mutravaha Dhamani, Mutravaha Sira, and Mutra vaha Nadi in relation to explain Urinary system. The word 'Gavini' is available in Atharva Veda only. In Ayurveda, the Srotas is called as channels of circulation, the doshas, the seven dhatus, the oja etc. move the one part of the body to another via these channels called srotas. The srotas or channels in the body act like paths or transporting blood and sensory information, absorbing nutrients and expelling waste products from the body. As we know srotas is most controversial but very important point, as it is recognized as the structural and functional unit of the body. In this row Mutravaha Srotas is one of the most important and functional srotas, this Mutravaha Srotas is also a very controversial topic. In Ayurvedic classics Acharya Charaka said Moolstana of Mutravaha Srotas considered Basti and Vankshana, while Acharya Sushrut considered Moolstana of Mutravaha Srotas Basti and Medra. Hence Mutravaha Srotas is one of the most important srotas of our body and minute dysfunction may lead to problem, so here we must have to study to understand its anatomical concept of Mutravaha Srotas and its applied anatomy.

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Mutravaha Srotas, Dhatus, Channels, Basti, Vankshana, Medra, applied anatomy.

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Cybercrime has emerged as a significant threat to the global economy and societies. With the increasing digitization of various sectors, India has become one of the prime targets for cybercriminals. This research paper aims to analyze the impact of cybercrime on the Indian economy and society. It examines the various types of cybercrimes prevalent in India, their consequences, and the measures taken by the government and other stakeholders to combat this menace. The study also highlights the challenges faced in addressing cybercrime and suggests potential strategies to mitigate its adverse effects.

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8434010347

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In flexibility in Sport training is the most important factors of exertion. Debates are recent and ongoing that is questioning its part in injury forestallment, athletes of all fields will still gain a lot from stretching governance; to the muscles inflexibility and joints are essential part in numerous athletic movements. Inflexibility has been defined as the range of stir around a joint and the girding muscles during a unresisting movement. Environment, unresisting meaning no active muscle involvement being needed in order to hold the stretch as it done naturally, with graveness or the backing of a mate furnishing force. Threat of injury can be reduced and performance might enhanced by simply adding the common range of stir. The sense behind that an extremity can move further before an injury can do. For case, tight neck muscles can circumscribe how far an existent can turn their head. When playing football and being dived and your head gets forced beyond its range of movement, also it's places strain on the neck muscles and tendons

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 Keywords

Ligaments, Dynamic Stretching, Ballistic Stretching, Isometric Stretching Range of Motion,

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India is a very large country. We have the second leading population in the planet. In India value based education is the actual need. As we see how the society is diminishing in case of value day by day. To days Indian youths are little bit confused because of the great dealing with the new technological devices, information explosion, and violent news by the press and media. Hence value based education must be imparted in today's institution. Peace and Value education have the important input to maintain national integration and communal harmony in the society. In this paper the role of value to maintain the peace and harmony is discussed in brief with the point of view of the Upanis?ad.

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Upanis?ad, Harmony, Integration, Value, Peace, Society, Humanity, Education.

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This study aims to conduct an event analysis of mergers and acquisitions (M&A) within the banking sector. Mergers and acquisitions are significant events that can have a profound impact on the involved companies and the broader industry. By examining the banking sector specifically, this study seeks to provide insights into the effects of M&A activities on the financial performance and market valuation of banks. The study utilizes event analysis methodology, which focuses on analysing abnormal returns around the announcement and completion dates of M&A deals. Abnormal returns are calculated by comparing actual stock returns to expected returns based on market trends and industry performance. The sample includes a comprehensive selection of banking sector M&A transactions over a specified time period. The study will utilize various statistical techniques, including event study methodology, regression analysis, and financial performance metrics, to analyze the data and draw conclusions. Findings from the study will contribute to the existing literature on M&A activities in the banking sector, providing valuable insights for investors, regulators, and banking industry stakeholders. The results of this study can help investors make informed decisions regarding investments in banking stocks during M&A events. Additionally, regulators and policymakers can gain a deeper understanding of the effects of M&A activities on the stability and competitiveness of the banking industry. The study also contributes to the academic research by expanding the knowledge base on event analysis of M&A transactions within the banking sector.

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mergers and acquisitions, banking sector, event analysis, abnormal returns, financial performance, market valuation

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Since 2006, Nepal has experienced a major political transformation that has led to a noticeable change in its geopolitical dynamics. China's increasing influence has become evident in Nepal's political landscape, attracting considerable attention in academic, media, and political discussions. Chinese trade and investment in Nepal have further solidified China's influence. The paper argues that as Nepal traverses the complex terrain of domestic politics and foreign relations, the influence of China has become an integral aspect of the country's evolving identity. Therefore, this paper examines the various aspects of China's expanding role in Nepali politics, investigating the factors driving this phenomenon and its consequences for both countries.

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China-Nepal Ties, BRI in Nepal, Cooperative Dynamics, Evolving Partnership

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In this Paper the effect of uncertainty in processing time was studied. Total processing time is randomly increased to some percentage, of standard test problems and variation of makespan is computed with CDS insertion method. Various situations were considered where one of the machines started slowing down, two machines slowing down, One old machine replaced with a new machine and one old machine is replaced with another old machine. Uncertainty was incorporated by changing the processing time randomly within a limit for a machine and results were studied. Sub grouping of small processes was done and tested as depicted in the case studies.

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Scheduling, Uncertainty, Subgrouping, Breakdown, Makespan

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The low-cost chemical bath deposition (CBD) method was used to deposit a ternary Cadmium Zinc Sulfide (Cd-Zn) S thin film on a glass substrate, and its morphological, structural, and optical properties were reported in this paper. When making a composite thin film, Zinc Acetate and Cadmium Acetate are mixed in the right proportions. XRD, SEM, EDX, UV-VIS spectrophotometry, and PL spectroscopy were used to investigate the effect of deposition time on the properties of the fabricated sample. The particles have seen to be spherical and asymmetrical. For various arrangements of single layer, double layer, and as deposited multilayer thin films of CdS and CdZnS, the polycrystalline growth was confirmed by XRD, with all films exhibiting cubic and hexagonal structures. Some impurities, as well as cadmium, zinc, and sulfur, were found in the EDS tests. The presence of impurities like carbon, oxygen, and nitrogen during film deposition is clearly visible due to the presence of air. The films had thicknesses of 1.20 m. The absorption edge spectra range from 550 to 600 nm, with the CdS thin film having a band gap of 2.52 eV, the CdS- (Cd0.8 Zn0.2) S thin film having a band gap of 2.65 eV, and the CdS- (Cd0.8 Zn0.2)S- (Cd0.5 Zn0.5)S thin film having a band gap of 2.75 eV. PL Spectra shows excitation peak.

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XRD, SEM, Multilayer, Thin Film, Chemical Bath deposition

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In order to sustain economic expansion and guarantee the availability of a consistent and reasonably priced electrical supply, the power industry is essential. Effective financial management practices within this sector are vital for its sustainability, operational efficiency, and overall financial performance. The purpose of this study is to investigate the connection between financial management strategies and the financial performance of power sector enterprises. To achieve this objective, a comprehensive analysis of financial management practices will be conducted, focusing on key areas such as financial planning, budgeting, investment decisions, cost control, and financial reporting. The results of this study will add to our understanding of how financial management practises in the power industry affect financial performance. The results will provide valuable insights for power sector companies, regulators, policymakers, and investors, enabling them to make informed decisions regarding financial strategies, resource allocation, and policy frameworks.

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financial management practices, financial performance, power sector

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Due to the excessive availability of the fundus cameras, large amount of fundus images are being generated. The fundus images can be utilized by the ophthalmologists to automatically diagnose the retinal diseases. At the same time, the development of artificial intelligence (AI) techniques, especially deep learning (DL) models finds useful for object detection in several application areas, including medical imaging. In this view, this paper presents an automated DL based multi-retinal disease diagnosis and classification model. The presented technique comprises three processes, such as pre-processing, feature extraction, and classification. For feature extraction purposes, AlexNet and Residual Network (ResNet) models are employed. Besides, convolutional neural network (CNN) and deep neural network (DNN) models are applied to classify the retinal fundus images into different retinal diseases. The incorporation of DL models for feature extraction and classification resulted to enhanced diagnostic performance. A series of experiments were conducted on benchmark dataset and the experimental results are examined under different aspects. The experimental values exhibited that the ResNet-CNN model has achieved better performance with the accuracy of 98.84%, precision of 98.84%, recall of 98.17%, and F1-score of 98.48%.

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 Keywords

Multi-retinal disease, Retinal fundus image, Deep learning, Feature extraction

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