Volume 4 | Issue 3 |

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ty net, women who have been involved with production in the traditional ways, have to cope with numerous problems and

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Today Businesses are an integral part of the communities. Michael Sabia, President and Chief Executive Officer of BCE Inc., has said, "Corporations are also social institutions. The role of business, according to this model, is to create value for its shareholders and also creates value for society, manifesting itself as a win-win proposition. Corporate success is highly based on continued good relations with a wide range of individuals, groups and institutions. Corporate Social Responsibility plays vital role in winning the customer confidence that will help growing the business. Many organizations conduct campaigns to create awareness among corporate, civic bodies, and government bodies about the importance of corporate social responsibility. The term corporate responsibility has been captioned under many names

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m corporate responsibility has been ca

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Wrestling is one of the best sports for developing physical fitness, because wrestling brings every muscle into play. It develops physical stature, builds body tones, increases cardio-vascular efficiency, improves balance and develops quickness, agility, flexibility and power. It helps the competitor to overcome awkwardness and obtain poise and physical efficiency. The purpose this studies 26 female wrestlers from University of Rajasthan, Jaipur and other Stadium in Rajasthan

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ale wrestlers from University of Rajasthan, Jaipur an

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Fourier transforms is one of the oldest and most well known techniques in signal processing. This transform method represents signals as a summation of complex exponentials. Fourier analysis has been used in digital image processing for analysis of a single image as a two-dimensional wave form, and many other field like Quantum mechanics , Signal processing, Image Processing and filters, Transformation, representation, and encoding, Data Processing and Analysis and many other fields. This paper review the strength of Fourier transform in recent research in the field of medical engineering.

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Fourier transforms, Medical Engineering.

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The main objective of this research paper is to highlight the issues related to deprivation among vulnerable age –group mainly in the old age. This paper comprises different aspects of deprivation among elderly. I focussed here on three aspects of deprivation among older people –Economic, Health and Social aspects of deprivation. In this paper I have focussed on EAG (Empowered Action Group)States, Southern and North-East States. I have used three different indices EDI, HDI and SDI as well as a composite index to measure different aspects of deprivation.

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DEPRIVATION, EDI, HDI, SDI and COMPOSITE INDEX.

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Kanth evam vadhya sangit mein parasparik sambandh: etihasik aur samkalin vishleshan

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Kanth evam vadhya sangit mein parasparik sambandh: etihasik aur samkalin vishleshan

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Deep Neural Networks (DNNs) have shown strong performance on complex learning tasks, especially when large labeled datasets are available. However, they struggle with mapping input sequences directly to output sequences. In this paper, the authors propose a general, end-to-end method for sequence learning that relies on minimal assumptions about the structure of sequences. Their approach uses a multi-layer Long Short-Term Memory (LSTM) network to encode an input sequence into a fixed-size vector, followed by another deep LSTM network that decodes this vector into an output sequence. A key result of their study is that this LSTM-based model achieved a BLEU score of 34.8 on the full test set for English-to-French translation using the WMT'14 dataset, despite being penalized for generating out-of-vocabulary words. Notably, the model performed well even on long sentences. For comparison, a phrase-based Statistical Machine Translation (SMT) system scored 33.3 on the same dataset. Further improvement was observed when the LSTM was used to rerank the top 1000 translation hypotheses from the SMT system, raising the BLEU score to 36.5--close to the best result reported at the time. The LSTM also learned meaningful representations of phrases and sentences that were sensitive to word order and robust to changes like converting between active and passive voice. Interestingly, performance improved significantly when the order of words in the source sentences was reversed (while keeping target sentences in normal order). This created more short-term dependencies between source and target sequences, which helped make the training process more effective.

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Neural Network Models for Translating Input Sequences to Output Sequences

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Rapid sand filtration is a widely adopted technique for purifying water in various applications, ranging from municipal water treatment plants to industrial processes. This abstract provides an overview of the rapid sand filter, highlighting its key principles, advantages, and applications. The rapid sand filter is a gravity-driven filtration system that utilizes a bed of sand as the primary filtration medium. Water flows through the sand bed under gravity or low-pressure conditions, undergoing physical and biological processes that remove suspended solids, pathogens, and other impurities. The sand bed acts as a physical barrier, trapping and retaining particles while allowing the passage of clean water. This abstract discusses the key factors influencing the efficiency of rapid sand filters, including sand grain size, uniformity, and depth. The control of filtration rate, backwashing frequency, and the use of coagulants or flocculants are also addressed, as they significantly impact the filter's performance. Proper maintenance and monitoring are crucial to ensure optimal filter operation and prevent clogging or biofilm formation. Rapid sand filtration offers several advantages, such as simplicity, cost-effectiveness, and ease of operation. It is capable of achieving high removal efficiencies for suspended solids, turbidity, and certain pathogens, making it suitable for a wide range of water treatment applications.

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Coarse aggregate, Sand ,Coconut shell.

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Baudhayana was a important and prominent Figure in ancient Indian Mathematical history. He was renowned for his Contributions to mathematics, geometry and religious law. He is believed to have lived around 8th Century BCE. Though the exact dates of his life remain uncertain. Baudhayana is primarily known for his authorship of the Baudhayana Sulba sutras . A Collection of vedic texts that deal the Baudhayana with the construction of altars and other sacrificial Structures. These Contain some of the earliest known references to mathematical Concepts. His works remains larely unrecognized outside of academic Circles, overshadowed by the more familiar names of Pythagoras and Euclid.

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Important, Prominent, Geometry, Religion, Altars, Structures

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