Volume 10 | Issue 6

 Abstract

The benefits of exercise are well-known, but in many schools, physical education is being phased out. There are a few reasons, such as a lack of funding for PE teachers and equipment. Cutting gym may not seem like a big problem, but when you look at physical education more closely, it becomes clear what students lose.

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Physical Education is Just as Important as Schoolwork

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Rotor and Stator Laminations

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Indian traditional system of medicine ayurveda which focuses on the medical potential of plants. Medical plants have so many uses.The four major vinca alkaloids used in various cancer chemotherapies are vinblastine, vincristine (or semisynthetic derivatives), vindesine, and vinorelbine from which two natural compounds, vinblastine and vincristine and two semi-synthetic derivatives, vindesine and vinorelbine. They are naturally extracted from the plant and have hypoglycemic and cytotoxic effects.They used to treat cancer , diabeties. Vincristine is a chemotherapeutic agent administered in combination with other drugs such as methotrexateuse for the treatment of malignancy (e.g., lymphoma and leukemia). Vinca alkaloids are having poisonous activities have physiological effects too that makes them useful as medicines.

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Botanical classification, vernacular name, Apocynaceae, chemical constituent, vincristine, vinblastine.

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Cervical Cancer Health Awareness Programme Human Papilloma Virus Human Papilloma Virus Vaccine

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This paper presents a surgical robotic system model that has a robot arm holding an instrument. Designed for performing a minimally invasive surgical procedure, The robot arm has ability to move in 4 axis direction with 5 servo motors. The controlling system for surgical robotic arm is potentiometer, it controls movement of the arm and it's instrument. The control system enhances control using joint observes the estimate joint position, velocity and acceleration of executed joint position commands with torque feedback

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Surgical Procedure, Control System

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ESG, ESG factors, ESG score, ESG indices, SRI

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Each organisation engages the implementation of capital for doing their businesses. The employed capital shall consist of equity such as the ownership contribution and with debt. The debt is any outside funding that becomes repayable with an associated cost for it. This cost shall be directly shown in the form of interest payment or indirectly in the form of agency cost. These debts might be short term in nature which is for less than one year or long term which is for more than a year. Organisations shall implement various nature of debt like taking the credit facility from the financial institution, by issuing warrants or issuing convertible bonds, also taking lease financing or utilizing the trade credit to fund their businesses. These debts can become more complex like the use of derivative instruments like the forward and futures contracts or by engaging swaps. Debt to equity mixture consists of capital structure of an organisation (Brealey et al, 2008). The main focus of the financial management is to reduce the cost and enhance the wealth of share holders. This shall be gained by the proper mixture of leverage i.e. through debt and equity. An ideal capital structure will be arrived when the full cost of capital becomes less. The management shall make correct decisions to reach the organisations investment needs. The management must have to come with the best combination of debt and equity to get the best combination of capital mixture that will help to reach the optimum leverage of the organisation. This study is an attempt to evaluate the leverage and performance of the select pharma companies in India during the period from 2009-2010 to 2018-2019. Model developed Impact of Leverages on Profitability of select Pharma Companies. In brief, this study discussed the introduction to Pharma industry, statement of the problem, objectives, methodology, limitations, analysis and results and finally, the results of the study summarized as findings, suggestions and conclusion.

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LEVERAGE,PROFITABILITY ,PHARMA COMPANIES IN INDIA

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Arduino, GSM, GPS, Sensors, Unmanned level crossing

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Heart rate (HR) and respiratory rate (RR) are the two most crucial physiological parameters that need to be monitored. Monitoring HR and RR generally entails significant expenditures and use complicated sensors. During the last decade, research has focused on non-contact-based devices that are simple, low-cost, and easy to use. Still, most of the noncontact-based systems are not suitable for lab conditions in an offline setting, so they must make significant progress before being used in real-time applications. The goal of this study is to develop a method for extracting heart rate and breathing rate from video of individual's faces by detecting Hue fluctuations.

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iPPG, pulse rate (HR), respiration rate (RR), machine learning (ML), image processing.

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Work from home, work-life balance, role conflict, role ambiguity, time management, coping strategies.

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Natural Disasters have threatened mankind since history started. Due to geographic application installed on shelter place like school, college temple. The system can register the receivers such that rescue team to send the notification for help. By sending the current position obtained by GPS and including shortest path of shelter or safe zone on the map of the application. Disaster recovery operations are extremely challenging and place significant demands on multiple resources, including local and international location and environment change, there are many vulnerable countries to natural disasters. The countries also lack effective disaster preparedness system to confront natural disasters. In addition, the peoples face difficulties in finding safe area or shelter place prior to the occurrence of natural disasters. For this reason, To have proposed a disaster management system and evacuation system for people using IOT device. The system is implemented on black box module because of the burgeoning growth of smart city. The black box device with our emergency response personnel, non-governmental organizations, and the military. In the immediate aftermath of a disaster, one of the most pressing requirements is for situational awareness (SA) so that resources, including personnel and supplies, may be prioritized to have the most impact and help those in the most need. As the recovery operations continue, the SA needs to be continuously updated based on changing conditions in the affected areas. There are many sources of information to provide SA, including reporting by the victims of the disaster as well as observations made by responding personnel. In this context, SA can be significantly enhanced via information obtained from Internet of Things (IoT) devices, especially in a smart city environment. This paper explores the potential to exploit Smart City IoT capabilities to help with disaster recovery operations.

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Internet of Things, Accelerometer sensor, Vibration sensor, Disaster Management, Alerting System, Smart city.

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Abstract The purpose of this research study was to determine the specific abilities of students with autism and their peer learners that may contribute to the achievement of peer-mediated intervention strategies. Autism students and peer learners were co-ordinationed based on skill level, age, and preferences; the autism students participated in a different of activities throughout a week-long day inclusive education set-up. Peer learners were taught how to interact with autism students, and what social behavioral methods to use and technicians were trained to facilitate these interactions. Current qualitative case study research was designed to determine patterns across the co-ordinationed pairs. Existing research study has endeavored to explore some research objectives to fulfill the target of study and has espoused a purposive sampling technique for the selection of respondents. Eleven case study pairs were selected based upon attendance at inclusive education set-up and set-up was held on a TEPSE & HEPSN Centre campus in Jodhpur District, Rajasthan Findings indicate that peer learners specific abilities and the specific abilities of the autism student contribute to the achievement of a peer learning intervention.

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Key-words: Peer Learning, Students, Mild Autism and Qualitative Case Study

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ABSTRACT The most common and serious metabolic disorder nowadays is diabetes. More than 300 million people of the world having this disease and the number is still go on increasing at a rapid rate. Long-term use of insulin and other oral hypoglycemic agents will cause many side effects and complications with heart diseases. Also diabetics are highly prone to different types of microbial infections due to low immunity. To avoid such problems herbal drugs has greater importance, Instead of using these types of allopathic formulations. According to World Health Organization, in developing countries, 80% of the population has still depended on traditional or folk medicines for prevention or treatment of diseases, because of their affordable price, clinically effectiveness and relatively low side effects than modern drugs. This review aims to focus the significance of herbal folk medicinal plants traditionally used in the prevention and treatment of diabetes mellitus in Indian Medicine.

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Keywords : Folk medicine, Herbal medicine , Medicinal plants, Traditional plants, Diabetes

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Data assumes a significant part in each period of work in the present advanced time. Data should be safe since it can modify. Portrayal and capacity of data will be addressed in heterogeneous organization. There are chances of assault on information which is crucial for specific association. With quick expansion in cybercrime, assailants act perniciously to change those data. Be that as it may, it's incredibly affecting scientific proof which is expected for provenance. In this manner, it's expected to keep up the forensic evidence since it goes through different stages during scientific examination. during this methodology, there's a legal chain during which produced report goes through different levels or delegates like pathology lab, forensic slab, police and so on to make the straightforward framework with changelessness of measurable confirmations, blockchain technology innovation is more appropriate.

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Forensic evidence, Blockchain Technology

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The corollas of Solanum flowers are blue-purple, yellow or white and they stand out against the anthers' brilliant yellow cones. The present study focuses on the biochemicals and pigments analysis of fresh flower of Solanum species (S. lycopersion L., S. melongena L., S. nigrum L., S. torvum Sw. and S. trilobatum L.). Solanum lycopersicum L. (Tomato) flower is small, yellow, star shape, aromatic odour, sweet taste, pubescent odour with smooth texture. Solanum melongena L. (Brinjal) flower is medium size, violet or pale blue, star shape, pungent, bitter taste with smooth texture. Solanum nigrum L. (Black nightshades) flower is minute, white, star shape, musk odour, sour tasting with smooth texture. Solanum torvum Sw. (Turkey berry) flower is medium size, pale white, tubular, star shape, pungent, odour, bitter tasting with smooth texture. Solanum trilobatum L. (Climbing brinjal) flower is a large, violet, star shape, aromatic odour, sour taste with smooth texture. The macroscopic characters such as description of theplant, colour, odour, taste, nature, texture were studiedfor morphological investigation. Preliminary screening result shows that the present of phenolic compounds, tannin, saponins and terpenoids in all five flowers. Flavonoids are absent in S. lycopersicum, S. melongena. Resin is absent in S. melongena. Presence of quinone in all flowers. Cartenoids and anthroquinone are absent in S. nigrum and S. torvum. Anthocyanin is present in S. nigrum and S. torvum. According to the results of the quantitative pigments analysis, the greatest absorbance peak was visible in the spectra of white flowers at 620 nm, yellow flowers at 570 nm and purple flowers at 490 nm.

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Solanum species, Flowers, Morphology, Biochemicals, Pigments, Colorimeter

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Monitoring the quantity and quality of urban vegetation accurately aids regional greening efforts and enhances knowledge of vegetation's environmental impact. Building shadows and synthetic materials, on the other hand, can severely obscure vegetation estimations. Furthermore, vegetation indices (VIs) quickly saturate in high biomass settings, making vegetation quality assessments more challenging. Plant Indices (VIs) are the most effective and simple ways for computing both the qualitative and quantitative assessments of aspects like vegetation cover, vigor, and boom dynamics, among other things, derived from remote sensing-based canopies. The indices are being used enormously inside RS for a variety of objectives, including the usage of exceptional airborne and satellite television for computer systems, as well as the use of Unmanned Aerial Vehicles (UAVs). For now, there is no unifying mathematical equation that defines all the VIs due to complexity of many mild spectra combinations, equipment, platforms, and resolutions that are being used. As a result, customized algorithms based on unique mathematical expressions that are combined see mild radiation from vegetation, normally inexperienced spectra region, and nonvisible spectra to achieve proxy quantifications of the vegetation surface have been developed and tested for a variety of applications. Optimization VIs are typically adjusted to specific software requirements in real-world applications, and they are frequently utilized in tandem with excellent validation equipment and methods on the ground. The current study discusses spectral features in plants and describes the development of VIs, as well as the advantages and risks of developing unique indices. In agricultural improvement analytics, vegetation indices are a critical metric. Information precision and miles-away management are two primary motivators for employing vegetation indices in remote sensing, which are just two of the technology's many advantages.

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Vegetation indices, dataset, NDVI, NDWI, spectral indices, reflectance

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Cloud computing is predicted to vary the way information technology (IT) is employed and managed better cost efficiency, faster innovation, faster time-tomarket, and therefore the ability to scale Application on Demand (Leighton, 2009). per Gartner, while the hype grew rapidly Released from 2008 and onwards, it's clear that the cloud computing model has undergone a serious change. And the benefits will be significant (Gartner HypeCycle, 2012). However, because cloud Computing is emerging and rapidly evolving conceptual and real, legal/contractual, Financial, quality of service, interoperability, security, and privacy issues are still significant challenges. In this paper, we describe the varied services and deployment models of cloud computing and identify the key ones. challenges. Specifically, we discuss three serious challenges: regulatory, security, and privacy issues in cloud computing.

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Cloud Computing, Security Metrics, Security Threats, Security Measurement Frameworks

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It is critical now for supply authorities to provide consumers with clean, reliable, and continuous power. There are no. interruptions in power quality such as voltage sag, swell, or harmonics due to the growing number of consumers and use of advanced power electronic devices. Hence Different power electronic devices have been utilized to maintain power quality. Also Because of a scarcity of nonrenewable energy sources, the world is shifting toward renewable energy sources. However, using nonrenewable energy sources has its own set of benefits and drawbacks. To maintain acceptable power quality in this project, we deployed a unified power quality conditioner in conjunction with a solar PV array. The UPQC is a series and shunt compensator that performs multiple tasks to improve power quality. The grid side power quality concerns, such as voltage sag and swell, are compensated by the series converter, which also keeps the load voltage constant. It also controls the voltage of the PCC. The current harmonics caused by a nonlinear load are compensated by a shunt compensator. It gets its energy from a photovoltaic array. A Synchronous Reference Frame (SRF) control based on a moving average filter is used to generate the reference signal. The system proposed in this paper provides benefits in clean power generation and also improves the power quality of the distribution system. The performance of the system under various conditions was tested by simulation in MATLAB simulation software using a non-linear load. In this document, the system was tested for different conditions such as voltage fluctuations, sags, and swells.

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Power Quality, Photovoltaic System, Unified Power Flow Controller, and Voltage Fluctuation

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Keywords: Hesitant bipolar, Hesitant Bipolar Intuitionistic Fuzzy, Entropy, TOPSIS, GRA techniques.

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