Volume 11 | Issue 2

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The soft candy which is available on the market are known with many health effects due to addition of improper preservatives added on to it. This study and the development of the product ensures that no chemical preservatives are added on to it and as well as ensures that this development of the product is highly nutritious and safe for consumption. The two mainly incorporated herb (giloy) and palm sugar in combination with tamarind which has been used for the development of the product compute to be an excellent source of nutrients and also adds up an additional flavoring to the product which compared to the other soft candies which is avail these days. The formulated soft candies were good in terms of nutritional composition like energy, carbohydrate, protein, fat, fiber, total sugars and vitamin-c. Finally, the product which has been developed outperforms the control completely in terms of nutritional aspects. Due to its nutritivevalue, this product is especially recommended for diabetic people.

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Tamarind, giloy, palm sugar.

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adolescents ,perceived parenting style, self-compassion, psychological flexibility

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Index Terms - Service-oriented architecture; web service; wsdl; xml; security; Framework.

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ABSTRACT: Baclofen is a centrally acting muscle relaxant. It relieves the spasm, cramping and tightness of muscles from multiple sclerosis, spinal cord injuries or other spinal cord diseases. In the present research work fast dissolving tablets of Baclofen were prepared by solid dispersion and direct compression methods. The concept of formulating fast dissolving tablets containing Baclofen offer a suitable and practical approach in serving the desired objective of faster disintegration and dissolution characteristic with increase bioavailability. Fast dissolving tablets of Baclofen were prepared by using various techniques like solid dispersion and direct compression. Prepared tablets were subjected to different evaluation parameters such as hardness, friability, weight variation, drug content uniformity, wetting time, water absorption ratio, in vitro disintegration time, in vitro dissolution studies and stability studies. Results revealed that all formulations have acceptable physical parameters.

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KEYWORDS: Fast dissolving tablet, Baclofen, Superdisintegrants , In vitro dissolution .

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Welding heat input is the most important factor in any fusion welding process which is basically an outcome of the combination of different process variables. It offers significant contribution towards the quality of weldment particularly in weld zone and heat affected zone. Manual Metal Arc Welding (MMAW) is the widely used welding process in the industries because of its low cost and versatile applications. The consumable electrodes with flux coating are used in this welding process which produces shielding gases to protect the weld zone from atmospheric contamination during welding. A lot of research work has been performed in order to investigate the effect of process parameters on the weldment of mild steel plates developed by MMAW process. In this study, an effort has been taken to understand the influence of welding heat input in weld zone and heat effected zone in butt joint of manual metal arc welded mild steel plates with a variation in process parameters.

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Heat input, Heat affected zone, MMAW, Mild Steel, Process Parameters, Weld zone.

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In the current scenario, the exploitation of oil and natural gas deposits on and offshore still represents the most significant global energy needs. For decades, offshore hydrocarbon resources have been explored and exploited among the traditional commercial uses of coastal continental shelter. However, this activity presents considerable potential threats to the marine environment. Surprisingly, a global multilateral environment does not govern the offshore gas and oil sectors, although public international and regional law rules are generally applicable. The maritime oil & gas industry is instead regulated primarily by national legislation. Besides, it is subject to a mostly independent sector, which traditionally uses its contractual solutions in a capital-intensive industry. ADDRESSING THE RISKS OF OFFSHORE OIL EXPLOITATION Recent accidents on offshore oil platforms have drawn attention to the ecological and human risks inherent to this industrial activity. In the current context of the current context of the continued development of deep and ultra-deep offshore drilling, which affects the integrity of oceans and seas as a common property, it therefore appears essential that those risks be addressed, and that progress be made towards the construction of an international legal framework. DIFFERENT INITIATIVES, DISAPOINTING OUTCOMES At the intergovernmental level, two legal and political processes have been initiated to advance pollution prevention and control: the Indonesian and Russian proposals are both based on the observation that international law falls well short of covering the cross-border dimensions of offshore oil exploitation when considering the increasing risks involved. It is indeed with caution that international law addresses the obligations of states, as sovereignty and jurisdiction issues often limit its scope and impacts. As for regional initiatives and conventions, they are often chronically absent or of very limited effectiveness. SUPPORTING A COMPREHENSIVE APPROACH The deficiencies of a highly fragmented international law therefore call for support to a comprehensive approach that aims to: counterbalance the power of oil companies and their professional organizations with an international legal framework that creates obligations; and establish a common set of obligations for states (and operators) covering the entire process of approval, monitoring, intervention, sanctions and liability regime. International institutions such as UNEP and IMO could take on this responsibility and promote the creation of a comprehensive convention on offshore oil exploitation.

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35

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Sheet music transcription into a machine-readable format is the focus of optical music recognition (OMR). OMR helps with use cases in digital musicology by making it easier to analyze sheet music statistically or look for notational trends. After a musical composition has been visually expressed in a document with music notation, OMR begins. Recently, OMR has moved away from using traditional computer vision methods and toward a machine learning strategy. In this work, we address these flaws by: Offering a comprehensive definition of OMR and its relationship to related fields; Examining how OMR inverts the music encoding process to recover the musical notation and the musical semantics from documents; and proposing a taxonomy of OMR, with a novel taxonomy of applications being the most salient feature.

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Optical Music Recognition, Music Notation, Music Scores, Neural Network, Image Processing, Preprocessing, Optical Character Recognition.

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Katigata Vata, Katishoola, Lumbar stenosis/ spondylosis,

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In the past few years, we have seen vast development in technology, notably in the AI field, Artificial Intelligence. Artificial Intelligence(AI) is the advanced technology that makes it possible for computers to perform advanced functions like analysing data, it also can see, understand, and translate spoken language. According to the Worldometer, the Population of India is 1.41 billion at present and it is increasing rapidly. As the population increases the speed of work decreases. It is too difficult to maintain a database of 1.41 billion people, but AI makes it possible. Now with the help of AI, we have increased the speed, productivity, and reliability of work in most sectors like Education, Health, Hospitality, Retail Industry, and many more. The main aim of this research paper is to deliver an explanatory analysis regarding the growth and development of Artificial Intelligence in various sectors, especially in the Education, Health, and Retail sectors in India. Artificial Intelligence is a trending topic of modern times. The other objective of this paper is to review the future of Artificial Intelligence in India.

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Keywords: Artificial Intelligence, AI in Education, AI in the retail sector

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This article focuses the essential factor of learning processes and how it is being triggered through the other elements in understanding and knowing the information. Cognitive science and the schema theory and its evolution with the different concepts of memory are being discussed. In nutshell, schema theory can be used in the strategy framing and the constructive frameworks for the Teaching pedagogy. The examples from the experiments of Educational Psychologist are the lifting veil of the mystic idealogies about the learning concepts existed at present scenario

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Schema Theory as Learning Tool in Edcuation

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BACKGROUND:TheIntegrated Child Development Services (ICDS), the nationwide programme of the Government of India offers the most important interventions for addressing the nutrition and health problems and promoting early childhood education among the disadvantaged population of the country. The present study was undertaken with the objective of assessing the awareness among anganwadi workers regarding the health and nutrition services for children (0-6yrs) in ICDS. METHODS: The sample of the present study was takenfromperundurai and erode rural blockof Erode district-Tamil Nadu.Totally 100 samples were taken under the age group of 30-60 years.The tools used for study was self-devised interview schedule. A pre-tested, structured questionnaire was usedfor pre-assessment and post-assessment. Nutritional education was given to angawadi workers by using pamphlet and presentation (PPT). After 30 days the impact of their knowledge was assessed. RESULTS: In pre-assessment the anganwadi workers has 82.772% of knowledge about ICDS program and Nutrition. In post- assessment anganwadi workers gained the knowledge by 92.57%. Hence, 9.8% of nutritional knowledge has been gained by the anganwadi workers through education. CONCLUSION: Anganwadi workers are the key person who will promote the good practices of services related to ICDS to enhance the health and nutritional status among mothers and children; hence they should have the regular and quality training program to equipped with better knowledge to prevent mortality and morbidity rate in the community.

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Learning software for machines is quickly becoming the most popular and widespread form of agricultural technology. Artificial machine learning is one of the sectors of the agriculture industry that is growing at the fastest rate. The application of artificial technologies in the field of agriculture has led to improvements in accuracy as well as the finding of answers to previously unresolved issues. In agriculture, the application of machine learning should work towards improving crop quality while also increasing plant output. Cotton is the most essential crop for producing fiber, not only in India but also around the world. The cotton textile industry stands to benefit from the acquisition of this since it is the raw material used in the production of fiber (cotton fiber). Infections caused by bacteria, fungus, and worms, as well as unregulated agricultural practices that are harmful to the leaves, are the primary challenges that cotton growers confront. Therefore, in order to prevent a low yield, farmers need to be aware of the crop diseases that have hurt the crop in the past. The consistent use of pesticides, together with the evolution of pests into organisms that are increasingly resistant to the effects of chemical control, has resulted in yields that have remained flat or fallen, in addition to a decline in the quality and productivity of the soil. Although a great number of cutting-edge machine learning models have been developed and examined, widespread application of these models in agricultural contexts has not yet been achieved. Transfer learning is a method that can be used to adapt and apply existing models in order to improve disease detection in plants and crops. In order to diagnose diseases that affect cotton plants, we have utilized contemporary methods and presented a hybrid methodology. In a hybrid method, contemporary computer vision models such as Faster RCNN and Single Shot Detector (SSD) are employed to recognise plant leaves and locate ROI (Region of Interest).

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Plant disease detection, image processing, image acquisition, segmentation, feature extraction, classification.

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Our proposed system is an Online food ordering system in restaurants that enables ease for the guests. It overcomes the demerit of the traditional queueing system. Our proposed system is a medium to order online food hassle-free from cafes as well as mess service. This system improves the system of taking orders from the client. The Online food ordering system in restaurants sets up a food menu online and guests can fluently place the order as per their want. Also with a food menu, guests can fluently track their orders. This system also provides a feedback system and food standing system in which stoners can rate the food particulars. Also, the proposed system can recommend taverns, and food, and rested on the conditions given by the stoner, the hostel staff will be informed about the advancements along with the quality. The payment can be made online or pay- on- a delivery system or cash system. For further secured ordering, separate accounts are maintained for each stoner by furnishing them an ID and a word

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Food hub, Food, Foody, Online Ordering, food system, food ordering.

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Organizational Citizenship Behaviour , Perceived Organizational Support, Occupational Stress

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Past earthquakes witnessed the poor performance of unreinforced masonry walls (URM) structures resulting into huge economic loss and large number of casualties. In this context, the present paper is aimed to investigate the shear behavior of a series of masonry walls under Diagonal compressive loading. To improve the wall behavior in shear, Polypropylene band (PP-band) and fiber glass mesh (FGM) are used as retrofitting material. Both faces of wall are wrapped to get full tightening effect during loading. This paper compares the shear behavior and flexural behavior of the unreinforced masonry walls with fiber glass mesh. The walls are constructed of full scale and half scale sizes. These walls are also compared with shear wall and the results of each particular wall are obtained. It has been observed that retrofitted walls exhibit significant improvement in terms of load carrying capacity and shear behavior. Failure mode of the walls are computed using analytical formulations. It was observed that both the strengthening materials not only increase the load carrying capacity but also helps in changing the failure mode from brittle to ductile in some extent. During the study, it may be concluded that the use of PP band and fiber glass mesh are effective in improving the shear behavior of masonry walls for all types of walls.

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Unreinforced masonry wall, diagonal compression test, polypropylene band, fiber glass mesh

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This study is a product of a classroom experiment designed to investigate and explain how students' gender affects their proficiency in English throughout a course using the Task-Based Language Teaching methodology at the secondary school level in Andhra Pradesh. Before diving into the technique and discussing the results and their interpretation, I provide a brief overview of the state of English in India and the TBLT approach. The study found, among other things, that students' gender had no bearing on their English proficiency and that TBLT helped students improve their English.

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(Keywords: Role of Gender, Teaching Experiment, TBLT, Secondary Level Students, Speaking Skills in English, Zero Influence of Gender, and TBLT is Effective)

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Prevention of corruption act, 1988

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Prevention of corruption act, 1988

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Latin America is one of the ancient lands in the world where human habitation is habited more than thirty thousand years. It has its own indigenous civilization with its languages, literatures, religions and cultures. With the arrival of European, especially Spanish invaders the cults, literatures, religions and languages of Latin American nations were hybridized, reformed, and revived in such a way that it has deconstructed and reconstructed the new nations and civilizations. Spanish language and literature has drastically changed the verbal and logosyllabic communication pattern of Latin American people and endowed them Latinized Roman alphabetic script and communication system. Nevertheless, the indigenous languages and oral literatures of Latin America got scripted and documented in Spanish language for the next generation. Hence, Spanish language and literature has altered the entire resonance and thinking pattern of the people so artistically that today almost all Latin American nations preferred Spanish Language as the official language and produced main stream literature in Spanish language.

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America, Destruction, Reconstruction, Language, Literature, Nation, Spanish.

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The field of Theoretical Mathematics has a number of methods and techniques to obtain specific parameters for a given set of data that relates to frequency, time, acceleration and velocity. Newton-Gregory Forward Interpolation Method is one such technique that can be applied for the real-time analysis of motion of physical objects through mathematical modeling. The physical motion of objects involves trajectory path analysis, projectile motion analysis that can relate to the jet plane taking off or a rocket being shot or the motion of a stone or rod in a specific projectile path. The motion of the particle or member can be for a given period of time with certain parameters like positions known and the corresponding velocity and acceleration can be obtained. This novel research idea involves performing the motion analysis of a physical member or particle that moves in a circular path for a specific period of time using Newton-Gregory Forward Interpolation Method and validating the same through the software application Python IDLE 3.10. The study basically involves giving the input as time periods and the corresponding positions of the member to obtain the velocity and accelerations. The same parameters are given as input to the python and the required mathematical code is developed to be executed to obtain the solution.

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Python 3.10 IDLE, Newton-Gregory Forward Interpolation Method, Planar Motion Analysis,

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Under the background of the continuous development of the general higher education system reform, the professional pressure of teachers, as the backbone of the development of colleges and universities, is increasing, but the subjective sense of happiness experience is low. In recent years, many studies have found that psychological capital can effectively relieve stress and improve subjective well-being experience. Through empirical research, this paper discusses the influence of vocational stress on subjective well-being of college teachers in Guangxi, and analyzes the mediating effect of psychological capital between these two variables. This study adopts the questionnaire survey method to investigate the college teachers in Guangxi. The research results have practical significance for reducing the vocational pressure of college teachers in Guangxi and improving their subjective well-being experience, and have reference value for improving the development quality and organizational management performance of colleges and universities.

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Occupational stress; Psychological capital; Subjective well-being;

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