Volume 11 | Issue 4 |

 Abstract

In the whole Indian sub continent Telangana State has the highest tanks. There is no village in Telangana which does not have tanks. There are some villages existing which have more than one tank in Telangana state. Here peasants and landlords, feudatories were shown great skill and interest in developing irrigation facilities. They thought donating water is a great religious and moral act. There is evidence of tanks construction prior to the Satavahana period also. During the Kakatiya period there was immense development in irrigation. They followed very scientific methods and very good building materials were used. When the rule of Asaf Jahis was started Telangana possessed a highest income generating state because of development of irrigation facilities only. Salar Jung took the inspiration of Sir Arthor cotton and made plans to develop water sources. Irrigation branch occupied a high place in the public works department. Ghanpur, Osman sagar, Himayat sagar projects were meant to protect cities from floods and save rain water also. Twin cities Hyderabad and Secunderabad both enjoyed 24 hours water facilities from nallas. There is a bonded link between development of irrigation facilities and employment. Working labor got employment through food for work. Nizam sagar, Alisagar projects played a very important key role in development of Southern Telangana region. Apart from all these Pranahita, Kaleshwaram projects were completed after new state emergence. Telangana state acts as a growth engine in water irrigation development through mission Bhagiratha and mission Kakatiya. Its aim is to make Telangana as one crore acres of Magani.

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 Keywords

Chain linked tanks, Deccan plateau, Construction skills, Food for work, Irrigation, PWD, Major irrigation projects, streams teeming, godavari valley development plan, prosperity, growth engine, one crore acres of Magani, Achukattu lands.

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The Long Short-Term Memory (LSTM)[3] Recurrent Neural Network, in particular, is the subject of this study's investigation of how machine learning algorithms might be used to forecast stock values. Accurately anticipating stock prices is difficult due to how unpredictable they are as a result of shifting supply and demand. To discover the precise attributes of a stock price, machine learning algorithms[5] can recognise trends in past data. Due to its capacity to recall data over lengthy time periods, the LSTM algorithm is particularly good for time series forecasting. Time series data analysis also benefits from LSTM's capacity to process data sequentially while preserving an internal state. The study demonstrates how stock price predictions using machine learning algorithms like LSTM may help traders and investors make wise decisions

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 Keywords

Stock prices, Long Short-Term Memory (LSTM), Recurrent Neural Network (RNN), Machine learning.

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3D animation isrevealing unknown facts about extinct species. The reconstruction in the film uses computer graphics, to recreate the evolution of the ecosystem. The computer animation technique is a helpful medium through which the evolution of planets, earth and animal life can be described visually more refined, based on our thoughts. Through animation life on earth is created and presented to the viewers with the proper description, similarly, extinction is also described with the help of animation as a result animation has touched the sphere of our lives. It clarifies the evolution and advancement of life's survival on the earth. This paper presents a theoretical framework, analysing the role of various determinants of 3D animation in revealing unknown facts about extinct species. Confirmatory factor, Analysis, and Structure Equation Modelling are used to identify the effect of various factors of animation in the reconstruction of extinct species through path analysis. It is indicated that research & reference is the most important factor influencing the reconstruction of the extinct species, followed by designing, rigging, texturing, lighting and editing. The standard estimate of research and reference is 0.649 which is higher than other factors of 3D animation responsible for revealing the unknown facts of extinct species.

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 Keywords

Extinction, Evolution, Extinct Species, Ecosystem, ICT, Structural Equation Modelling, Confirmatory Factor Analysis, 3D animation, Paleontology, Paleoartists.

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Benzothiazole is a fusion product of benzene and thiazole. An aromatic heterocyclic compound is benzothiazole containing five-membered 1,3-thiazole rings fused with benzene rings. Benzothiazole and its derivative have great significant in medicinal chemistry. 1,3-benzothiazole derivatives have considerable derivative shown in the research method of synthetic chemistry as well as medicinal chemistry because of their potent pharmacological activity. The current paper concise several synthetic methods utilized for synthesizing derivatives that act as Anti-inflammatory, Analgesic, Anti-tumor, Anti-viral, Anti-HIV and Anti-microbiological agents. Some derivatives of benzothiazole are used for the treatment of epilepsy, antidiabetic, anticancer, antiviral, anticonvulsant, and antioxidant. This review provides different reaction methods that are involved in the synthesis of benzothiazole derivative and also helps to understand the structure-activity relationship.

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Benzothiazole: Antiviral: Anti-HIV: Antitumor: Epilepsy

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Every industry has been modernized through technological innovation. The auto industry is also impacted in a similar way. In order to prevent global warming and climate change, the Indian government mandates that people move from internal combustion to electric automobiles. This is because electric vehicles are the future. The automobile manufacturers slowly shifting their production from tradition automobiles to electric one. By 2030, Government of India plans to have majority of electric vehicle in India. The government also motivate the people by providing incentives and tax benefits. If automobiles are electrified, even the import of fuels will be reduced. The high price of gasoline and environmental concern might be few reasons which intends public to adopt electric vehicle. The present study throws a light on consumer awareness towards electric vehicle and it also tries to identify the factors that influence the consumer perception towards Electric Vehicle. This study uses a descriptive approach to gather information from consumers by using a structured questionnaire. For the purpose of the study, 123 samples are collected from the Chennai city. The information gathered will be then analyzed to determine the expected outcomes of the study. The findings of the study will be beneficial to the government, automotive manufacturers, dealers and marketers.

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Electric Vehicle, Consumer Awareness, Consumer Perception, Conducive Factor and Hindering Factor

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Indian entrepreneurship has been assumed as a contradiction with paradoxes. Entrepreneurs are produced in India to set examples of inspirations for many as to how innovation and success could be achieved overcoming the basic constraints. The family business of India and entrepreneurial zeal has significantly boomed and transformed the industry and business interface of India. Women of India have been striving hard to attain heights of leadership positions. Besides facing additional barriers of balancing responsibilities, access to entrepreneurial prospects, control over resources and many more, women have proved themselves equitable to many areas in order to achieve economic independence and respectable positions. Micro, Small and Medium Enterprises (MSMEs) are providing a sound base of economic development and growth in India. MSMEs are taken as foundation for all industrial endeavors of almost all countries including India. They are supporting in contribution of huge business worldwide. As far as India is concerned, the economic development and progress of the country has been significantly flourishing due to these MSME's. With this background, the paper strives to highlight the state of entrepreneurship in India with focus on women entrepreneurs, the challenges faced by them, including the women of rural areas as the women in India constitutes a major portion of labour force in India.

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Women entrepreneurs in India, Women Entrepreneurs in India under PMEGP and Policies and Schemes for Women Entrepreneurs in India

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Drug delivery systems (DDS) are a strategic tool for expanding markets/indications, extending product life cycles and generating opportunities. DDS make a significant contribution to global pharmaceutical sales through market segmentation, and are moving rapidly. Drug delivery systems are becoming increasingly sophisticated as pharmaceutical scientists acquire a better understanding of the physicochemical and biochemical parameters pertinent to their performance.1 Oral drug delivery has been known for decades as the most widely utilized route of administered among all the routes that have been employed for the systemic delivery of drug via various pharmaceutical products of different dosage forms. The reasons that the oral route achieved such popularity may be in part attributed to its ease of administration1. It has been reported that Dysphagia (difficulty in swallowing) is common among all age groups and more specific with pediatric, geriatric population along with institutionalized patients and patients with nausea, vomiting, and motion sickness complications. ODTs with good taste and flavor increase the acceptability of bitter drugs by various groups of population. Orally disintegrating tablets are also called as fast dissolving tablets, quick dissolving tablets, mouth dissolving tablets, fast dissolving tablets, fast dissolving tablets, rapid dissolving tablets, porous tablets, and rapimelts. However, of all the above terms, United States pharmacopoeia (USP) approved these dosage forms as ODTs. Recently, European Pharmacopoeia has used the term fast dissolving tablet for tablets that disperses readily and within 3 min in mouth before swallowing. Despite of tremendous advancements in drug delivery, the oral route remains the perfect route for the administration of therapeutic agents because the low cost of therapy, ease of administration lead to high levels of patient compliance.

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FORMULATION AND EVALUATION OF FAST DISSOLVING TABLETS OF CEFUROXIME AXETIL BY USING SUPER DISINTEGRANTS AS DIFFERENT FORMULATIONS

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Angelman syndrome is an incurable neurodevelopmental disorder characterized by severe cognitive disability, motor dysfunction, speech impairment, hyperactivity, and frequent seizures. The maternally inherited UBE3A is rendered inactive by loss of the maternally expressed gene, which results in Angelman syndrome. The most frequent mechanism is the deletion of the maternal chromosomal region 15q11-q13. Surprisingly, duplication of the same chromosomal region, which affects >1-2% of all instances of autism spectrum disorder, is one of the few identified permanent genetic defects linked to the condition. While the general brain architecture and connection of neuronal projections in AS animal models appear to be largely normal, significant functional abnormalities are found at the level of context-dependent learning, as well as the decreased hippocampus and neocortical maturation.

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 Keywords

Angelman syndrome, neuromuscular disorder, genetic disorder, UBE3A

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The motto of our project is detecting stress in IT employees using image classification and the k-Nearest Neighbor (KNN) algorithm. The proposed system captures facial images of employees and processes them to identify signs of stress such as changes in facial expressions. The images are preprocessed and the features are extracted, the extracted features are then used to train and test a KNN classifier that can accurately classify the employees into stressed or non-stressed categories. The proposed approach was evaluated using a dataset of facial images collected from IT employees, and the results show that the KNN algorithm can effectively detect stress in IT employees with a high degree of accuracy. The proposed system can be used by employers to monitor the stress levels of their employees, leading to a healthier and more productive work environment.

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 Keywords

Image processing, machine learning, Stress detection

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When a lipid bilayer was hydrated, a self-forming enclosed lipid vesicle or liposome appeared. Liposome drug delivery methods have been crucial in the development of powerful drugs that have improved treatments. Because they share lipids with the epidermis, liposomes can also improve cutaneous medicine delivery while reducing systemic absorption. The hydration of the lipid film by hand shaking, sonication, macro-emulsification, and french-pressure cell are some of the numerous ways that liposomes can be made. Liposomes are made up of the sterols, phospholipids, sphingolipids, and polymeric compounds. Vesicle shape and lamellarity, size, and size distribution of the vesicles were used to assess the prepared liposomes. Microscopy Techniques techniques for cryo-transmission electron microscopy and optical microscopy (cryo-tem).

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 Keywords

Keywords : Liposome, topical drug delivery, Phospholipid, Vesicle, Macro-emulsification.

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