Volume 11 | Issue 4

 Abstract

Integrating economic growth with environmental sustainability has never been as important as it is in the present times. The planet, nations, and cities are being adversely impacted by climate change which is threatening the survival of flora and fauna. Human settlements are also at risk with increasing human deaths and illnesses as a result of environmental degradation. What is worrying is the fact that low and middle-income countries are more severely impacted by pollution compared to the rich and developed nations. The environmental degradation that we see today is largely an outcome of productive activities that have and are being carried out for economic growth. Economic growth is in turn essential to support the global population with jobs, incomes, and goods and services. Therefore, environmental sustainability and economic growth are contradictory objectives since commitment to one objective means sacrificing the other. But, in the present times world economies are facing twin concerns of slowing growth and environmental degradation with governments and decision-makers at a crossroad to decide which fundamental should be given priority over the other. But since both fundamentals are equally important, a middle path with innovative strategies needs to be adopted by the developed as well as developing nations. The paper emphasises the importance of the two fundamentals-economic growth and environmental sustainability, the contradiction between the two, and the possible remedies in creating a balancing path between the two contradictory objectives.

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 Keywords

Environmental Sustainability, Economic Growth, Climate Change

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Domestic Violence is an ancient as well as the most common social evil of a civil society. It has marked it's presence throughout the history and has left no stone unturned while continuing the cruel legacy from the past to the most recent eras.

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Domestic Violence , cruel, men, women, causes

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We humans have repeatedly acted motivated by nature really that we try to copy all things that kind likely, individual such illustration is making a mechanical reptile. Which slides and moves like a reptile and form it fun and knowledgeable to build. In this project we will discover to attain motions like the reptile utilizing Servo motors and Arduino. The reptile-like robot is a biomorphic energetic-excessive machine that simulates a reptile. The shape and sizes of the twisting robot is revolved around on allure own use, various use may demand various sizes and shapes, because this project primarily mark search out design a snake-like machine that can prevent the barriers, so the reptile-like machine is planned to a moderate size accompanying 12 divisions, because the reptile-like machine can move flexibly in the landscape that has a lot of barriers. In order to form the reptile-like machine function and move like a absolute biological reptile, the reptile-like machine be going to involve numerous joints that allow the reptile-like machine to have numerous points of freedom, that present it the capability to bend, reach and approach a massive strength in its table accompanying an limitless number of configurations. This flexibility can allow the machine to move around in more involved surroundings. So, the use for this reptile-like machine could be very beneficial in hard to reach places or dangerous surroundings.

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Arduino,Servo Motor,Hardware,Robot,Bluetooth,Assault Pack,I R Sensor.

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Wherever liquid level and flow control are crucial, sectors like petrochemical, paper, waste management, and others are the most important ones. Instrumentation engineers frequently deal with process operation under erratic conditions, such as operating below or above set point, which leads to inappropriate performance of plant devices and equipment and also has an impact on product quality. The application of intelligent fuzzy logic is being studied in the coupled-tank plant system to address the aforementioned undesirable scenarios. Even in the presence of simultaneous plant nonlinearity and measurement noise, FLC is able to provide the proper control signal for the coupled-tank system in response to the specified target water level. The primary property of FLC that does not need the explicit identification of the model description or the solution to linear (or nonlinear) equations of the relevant plant dynamics is its capacity to employ merely input-output measurements of the plant in adaptation mechanisms. The FLC results are contrasted with those of the traditional PID controller.

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proportional-integral-derivative (PID), Fuzzy Logic Controller (FLC)

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ABSTRACT: Cancer treatment has been the major goal of the gene therapy studies over the decades. Although there is no cancer gene therapy drug in the market yet, substantial progress has been made in defining potential targets and in developing viral and nonviral gene delivery systems recently. Numerous genes have been studied as the targets for cancer gene therapy so far. Various gene therapy strategies, including suicide gene therapy, oncolytic viral therapies, antiangiogenesis, and gene therapy vaccines have been developed. The combination of gene therapy with conventional methods, such as chemotherapy, radiotherapy, and immunotherapy, has further improved the efficacy. Although the preclinical and experimental studies have yielded highly encouraging results, there are still few gene therapy agents at phase III trials. In these, we will review gene transfer systems,Immunotherapy,Oncolytic agents, Target gene therapy to cancer and cancer gene therapy in clinic.

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Keywords:- DNA, RNA, oncologic vector, Targeted vector.

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

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Abstract Objectives: Aims to find the effect of ergonomics training in work related musculoskeletal pain and working posture among school going children. Methods: Study had begun with the presentation of synopsis to the ethical committee in PES MCOP. An approval was granted from the ethical committee various schools were visited in and around the city. 41 subjects were selected on the basis of their inclusion and exclusion criteria. Pre score action method REBA score analysis was done Pre WBS score was analyzed. Intervention for 4 weeks every alternate day was given Post REBA and WBS were analyzed. Data entered and analyzed. Results: there was significant effect of pain and posture on pain and posture p value <0.0001. Conclusion: This study concluded that there was positive effect of pain and posture on school going children.

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Keywords: ergonomics, pain, posture, musculoskeletal disorder, school children

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Over-The-Top (OTT) platform development has upended the conventional media and entertainment sectors, including the movie business. This study investigates how OTT platforms are affecting the movie business, with a particular emphasis on moviegoers. This study discovered that the way audiences consume content has significantly changed as a result of OTT platforms through a review of the literature and interviews with industry experts. Many fans who love to watch movies and TV series from the comfort of their homes have been drawn to OTT platforms due to their accessibility and affordability. The entertainment business, particularly the film industry, has undergone a change thanks to the rise of Over-The-Top (OTT) platforms. The purpose of this study is to investigate how OTT platforms have affected movies and moviegoers. A combination of qualitative and quantitative research approaches was used in the study. 300 moviegoers were given a survey questionnaire, and 10 industry professionals were interviewed to get the data. The study's conclusions show that the movie industry has been impacted by the availability of material on OTT platforms in several different ways. While OTT platforms have expanded the audiences for films, they have also resulted in a decrease of moviegoers. According to the report, younger generations like OTT platforms because of how convenient they are for watching movies.

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OTT platform, internet, entertainment, cinema audience, preferences, affordability, business, young generation.

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India is the land of discourse and therefore it has cherished different philosophies throughout the centuries. Buddhist philosophy emerged on the foundations of the then prevalent philosophies for example Vaisesika and Nyaya. Buddhist philosophy reached its peak at the times of Nagarjuna, Vasubandhu and Asanga while pre-existing philosophies suffered relative decline. Sankarachary revived the philosophy of Advaita Vedanta and popularise the more ancient Vedic tradition. There is a very close proximity between the Buddhist philosophy and the philosophy of Sankarachary. The present article is an effort to study and analyse this complex relationship.

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Parmanas,Epistemology,Ontology

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Development is a process where skills and training programs are used. India has a huge population i.e. manpower is a strength of Indian Economy. Proper utilization of resources are important in each and every aspect of development and growth. Hence entrepreneurship is an opportunity for new entrants. Entrepreneurship is a platform where talent, entrepreneurial traits are identified, motivated to take up new industrial venture, trained in managing the unit and guided in all aspects of starting an enterprise. The main objectives of entrepreneurship are designed to strengthen motive, capabilities and help to play the role efficiently. India is a developing Country by considering it Government of India started a scheme to empower the young educated and aspirant youth, being as a potential and constructive aspect of economy. The study intends to evaluate the Stand-Up India programme in-depth with regard to the advantages that it will provide for women entrepreneurs and to examine the programme's effects on the advancement of women beneficiaries. Henceforth, the NDA Government has commenced the scheme of Stand-up India. This paper covers the overall descriptive and critical study of these schemes. This is a research to evaluate Stand-Up India program in detail regarding the benefits that businesswomen will learn from that and study the impact of location- planning to improve women's rights in Punjab. because of that research, primary and secondary sources of information were used.

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Stand-Up India, Woman Entrepreneurship, Empowerment, Finance

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Social media text analytic is the process of deriving information from text sources. Text analysis can be applied to any text-based dataset, including social media. Negative thinking is a major problem faced today by society even we are finding in social media. Negative thinking have affected the quality of life and economic growth badly. We can identify the negative thinking patterns and predict the negative thinking by detecting and analyzing the historical data. However, some negative thinking are unregistered and unsolved due to a lack of evidence. Thus, detecting negative thinking is a still challenging task. We can use social media to detect negative thinking related activities. Because social media users sometimes convey messages related to his or her surrounding environment via social media message. In this paper, we proposed a machine learning approach to detect the negative thinking and analyze it on its type. As the first step, we fetch the text messages using predefined keywords relating to the negative thinking. Then, after the Pre-processing, we applied a support vector machine- based filtering approach to eliminate the noise. And then Random forest is used for classification. Then in the final stage, we analyze and categorize the negative thinking type.

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 Keywords

Support Vector Machine, Negative Thinking, Evidence, Detecting, Messages, Social Media, Historical.

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