Volume 11 | Issue 5 |

 Abstract

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 Keywords

Valmiki, Ramayan ,Rajya, Raja, Ram, Mabharat, Mahakavya, Pracheen,

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 Abstract

CPM/PERT or Network Analysis as the technique is sometimes called, developed along two parallel streams, one industrial and the other military. Developed in the late 1950s, Critical Path Method or CPM is an algorithm used for planning, scheduling, coordination and control of activities in a project. Here, it is assumed that the activity duration is fixed and certain. CPM is used to compute the earliest and latest possible start time for each activity. The process differentiates the critical and non-critical activities to reduce the time and avoid the queue generation in the process. The reason for the identification of critical activities is that, if any activity is delayed, it will cause the whole process to suffer. That is why it is named as Critical Path Method. In this method, first of all, a list is prepared consisting of all the activities needed to complete a project, followed by the computation of time required to complete each activity. After that, the dependency between the activities is determined. Here, 'path' is defined as a sequence of activities in a network. The critical path is the path with the highest length. PERT is an acronym for Program (Project) Evaluation and Review Technique, in which planning, scheduling, organizing, coordinating and controlling uncertain activities take place. The technique studies and represents the tasks undertaken to complete a project, to identify the least time for completing a task and the minimum time required to complete the whole project. It was developed in the late 1950s. It is aimed to reduce the time and cost of the project. PERT uses time as a variable which represents the planned resource application along with performance specification. In this technique, first of all, the project is divided into activities and events. After that proper sequence is ascertained, and a network is constructed. After that time needed in each activity is calculated and the critical path (longest path connecting all the events) is determined.

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 Keywords

CPM, PERT, CRITICAL ACTIVITIES ,LONGEST PATH

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Automobiles are a necessary evil, as they have made living easy and convenient, they have also made human life more complicated and vulnerable to both toxic emissions and an increased risk of accidents. Automobiles include cars, trucks, motorcycles, and boats (anything that burns gas). They leave oil, antifreeze, grease and metals on streets and driveways. They also emit nitrogen, hydrocarbons, and other contaminants, which settle in water. Emissions of hydrocarbons, carbon monoxide and nitrogen oxides from motor vehicles, can be seen as a major source not only of climate modification but also of adverse health and other environmental effects resulting from ground level pollution. To deal with these problems in a co-ordinated manner requires the minimisation of carbon monoxide, carbon dioxide, hydrocarbons, nitrogen oxides and particulate matters emission into the atmosphere. On a global scale, total emissions of these pollutants depend on the number of vehicles in use and their emission rates. In turn, their actual emissions rates depend on their fuel efficiency and their use of available control technologies. A larger population and greater economic activity in the future holds the potential to increase the problem. However, by adopting various Vehicle pollution control devices and fuel efficiency improvements we can reduce the adverse effects which result from these vehicles.

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-

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At the end of 2010 the Arab world witnessed a series of massive protests across Arab world which have changed the entire region. It started with peaceful protests against the dictatorship, corruption, unemployment and above all to restore democracy but with the passage of time it turned into violence and civil wars. These incidents are referred to as "Arab Spring". Contemporary Arabic novels played a crucial role to narrate Arab spring incidents. This paper will study Arab Spring as narrated in Arabic novels and the major issues and aspects discussed in those novels.

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Keywords: Arab Spring, Arab World, Arabic Novel, Arabic Literature.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Diabetic Peripheral Neuropathy experiences muscle weakness, loss of ankle reflexes, and decreased balance, coordination and gait control, thereby, limiting walking and increasing the risk of fall-related injuries. Sensory component of peripheral neuropathy causes gradual loss of sensitivity to pain, perception to plantar pressure, temperature and proprioception which can lead to postural instability. Aim of the study is to find out effectiveness PNF to improve strength, & balance in diabetic neuropathy for preventing fall history. An Experimental study was carried out over the period of 3 weeks with total 40 subjects between the age group 50 - 65 years. The subjects were randomly allotted into experimental group (n = 20 ; PNF and Wobble board training) and control group (n = 20 ; Wobble board training alone). Initially and after the intervention, patients were assessed with BBS ; TPOMAS ; Wobble board were used to measure the level of patient's evaluation. Between group analysis shows that experimental is more significant than control group. There is improvement of balance in experimental group (PNF and Wobble board training) than control group (Wobble board training alone). Hence it is concluded that PNF is found to be effective in improving balance and posture in diabetic neuropathic patients to prevent earlier fall history.

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 Keywords

BBS - Berg Balance Scale, TPOMAS - Tinnetti Performance Oriented Mobility Assessment Score.

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Agriculture is called the backbone of the Indian economy because majority of the population is dependent on agriculture. The agriculture sector contributes about 14% of the total GDP in India. Several irrigation techniques are used in agriculture like irrigation sprinklers, surface irrigation, drip irrigation, manual irrigation, etc. Some of these techniques are effective in the management of water resources but still, they do not measure the moisture or the required amount of water. So, to further improve the mode of irrigation, smart irrigation techniques are used to improve the effective usage of water resources. The challenges faced by the existing irrigation system are water wastage, manual labour, and poor performance, so sensors like moisture, temperature, and pH are used in monitoring and irrigating the field. From the sensed value of the temperature and moisture sensor, the field would be irrigated if the sensed value is low. If the moisture and temperature value for the particular crop is reached the irrigation system would turn off automatically. So this technological improvement would be helpful in meeting the demand for irrigation, as there may be a scarcity of water in the future.

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 Keywords

Agriculture, Sensors, Intelligent irrigation, IoT

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This article investigates how consumer spending, interest rates, and the economy are related. It covers the impact of changes in interest rates on borrowing costs, consumer spending, saving habits, and investment choices. Higher interest rates typically result in higher borrowing costs and reduced consumer spending, whereas lower interest rates make borrowing more accessible and encourage consumer spending. The current study employed a questionnaire survey approach to collect data from a sample unit of 100 individuals who were chosen at random for the study. After the premise was statistically tested, conversations were undertaken to provide beneficial results. The purpose of this paper is to find how the interest rates can affect the pricing of assets like stocks and homes, as well as saving incentives. In order to make wise financial decisions and successfully navigate the economic landscape, the paper emphasises how crucial it is for an individuals to comprehend these dynamics.

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Interest rates ,consumer behaviour,savings habits , borrowing cost.

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TherapistGPT is a groundbreaking AI-powered therapist that leverages advanced Natural Language Processing (NLP) and Machine Learning (ML) techniques to provide effective mental health care to patients. Building on previous research in conversational AI for therapeutic sessions, TherapistGPT aims to address the shortage of mental health professionals and make therapy more accessible to everyone. This paper delves into the design, implementation, evaluation, and ethical considerations of TherapistGPT, while discussing its potential to revolutionise the mental health care industry.

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TherapistGPT, AI-powered Therapist, Conversational AI, Natural Language Processing, Machine Learning, Mental Health Care, Ethics

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-In today's fast paced life people often don't take proper care of their health. People try to avoid going to doctor for diagnosis either because they don't like it or they don't get time. To lead a good life healthcare is very much important. But it is very difficult to obtain the consultation with the doctor in case of any health issues. The proposed idea is to create a medical chatbot using Artificial Intelligence that can diagnose the disease and provide basic details about the disease before consulting a doctor. To reduce the healthcare costs and improve accessibility to medical knowledge the medical chatbot is built. Certain chatbots acts as a medical reference book, which helps the patient know more about their disease and helps to improve their health. The user can achieve the real benefit of a chatbot only when it can diagnose all kind of disease and provide necessary information. Chatbots are programs that mimic human conversation using Machine Learning algorithms. It is designed to be the ultimate virtual assistant helping one to complete tasks ranging from answering questions in health care domain. Chatbots are currently the one of the best trending technologies available. It is certainly one of the most advanced and time saving technology also. But yet to accomplish many tasks there is a need to make chatbots efficient in medical field as well. To address this problem this project provides a platform where human can interact with a chatbot which are highly trained on datasets using Machine Learning algorithms. Machine Learning algorithms take a more natural approach for computation rather than taking a logical approach. The output is depended on the dataset they are trained on. We can implement in real time medical system and convert the text results in voice format.

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Machine learning, Natural language processing, Chatbots, Artificial intelligence, Medical system

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Smart irrigation systems using IoT technology are gaining significant attention as an efficient solution to the water scarcity challenge in agriculture. These systems consist of sensors, controllers, and a cloud-based platform that collects real-time data about soil moisture content, weather conditions, and plant water requirements. The data is analyzed and used to regulate water supply to the crops, resulting in reduced water consumption and significant savings in water resources. Field experiments have shown that smart irrigation systems can increase crop yields by 25% and reduce water consumption by 40%. This system is designed to be automated and allows users to monitor and control the irrigation process remotely through a smartphone app or a web interface, making it easy for farmers or gardeners to manage their irrigation systems from anywhere, at any time. The smart irrigation system helps to conserve water by using only the required amount of water and preventing over-watering, leading to a significant reduction in the cost of irrigation. The system has the potential for large-scale deployment and can benefit farmers worldwide, making it a powerful tool to optimize irrigation processes, conserve water, and improve crop yields.

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Smart irrigation systems, IoT technology, water scarcity, agriculture, sensors, controllers, cloud-based platform, soil moisture content, water consumption, crop yields

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Creative Commons Attribution 4.0 and The Open Definition