Volume 8 | Issue 9

 Abstract

Plastics are non-biodegradable substances and toxic in nature which creates health hazard. Also result in pollution and global warming. So, plastic waste should be reused to reduce the imminence to the environment. As we know that India is located latitudinally in the northern hemisphere and longitudinally in eastern hemisphere that�s why sunlight reaches here for maximum duration which causes softening of bitumen, to reduce this effect we can use plastic waste with bitumen in road construction to increase its softening point and reduce chances of bleeding. By using shredded plastic with bitumen, can enhance the durability and strength of road. Ordinary mix don�t provide such strength and durability to road. It can also reduce road fatigue. This ingenious technology is economical as well as eco-friendly.

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Plastic Waste, Aggregates, Strength, Bitumen, Road Construction.

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Abstract- The environment defined as that whole outer physical and biological system in which man and other organisms live as a whole, albeit a complicated one with many interacting components. The wise management of that environment depends upon an understanding of those components of its rock, minerals and waters of its present and potential vegetation, of its animal life and potential for livestock husbandry and its climate. A nation�s growth starts from its educational institutions where the ecology is thought as a prime factor of development associated with environment. A clean and healthy environment aids effective learning and provides a conducive learning environment. Educational institutions now a day are becoming more sensitive to environmental factors and more concepts are being introduced to make them eco friendly. Earth Summit Rio 1992, the concept of environmental audit was accepted by many countries. In Indian scenario, very few industries especially educational institutes were inspired. If green audit is enforced in an effective way in the educational institutes then there are many advantages that could be adopted from it. Education aims at drawing out the innate potentialities of every individual. For this purpose, the students undergo the learning process in a systematic order is school, so that there innate qualities are developed. Environment Education is the process of recognizing values and classifying concepts in order to develop skills and attitudes necessary to understand and appreciate the inter relatedness among man, his culture and his biophysical surroundings. Teachers occupy as key position in the educational transformation process by becoming role models to students. Similarly in the Environment Education program, they act as agents for developing proper awareness among students by providing adequate knowledge about environmental issues. The teachers can use the green links of information collected from newspapers or electronic media and relate them to the topic which is being taught. As Environment Education is an interdisciplinary subject, different teachers teaching different subject can relate the concepts taught to the environment. A good teacher can be as friend of the

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Keywords � Environment Management, Green Audit, Awareness, and Human dominated ecosystem, Energy Management, Waste Management.

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Data mining is used to extract useful information from large databases or data warehouses. Data mining algorithms applied in healthcare industry play a significant role in prediction and diagnosis of the diseases. For detecting a disease, the number of tests should be required from the patient. By using the data mining technique, the number of tests can be reduced. Dengue is a threatening disease caused by Girl mosquitos.Dengue is caused by mosquito threatening the world now-a-days. If it is not curated on proper time, it will lead to death. World Health Organization (WHO) reported, dengue is prevalent in more than 81 countries all over the world.

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Dengue, Data mining, Prediction

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In advanced medical diagnosis system, infertility conditions are detected in early stages with high precision. Sperm count in male is one of the major parameter to determine infertility. One of the challenging tasks is to provide clear cut algorithm and instantaneous results. For possible tests on fertility, it is very essential to determine the sperm cell count, volume of the cell, sperm motility, presence of leukocytes and finally the shape of the sperm. Any abnormal condition affects count, shape, movement and volume of the sperm in semen. � Medical conditions like Oligospermia, Aspermia and Hypospermia affect the sperm cell count. Teratospermia indicates the presence of abnormal morphological sperm when observed from microscope. Asthenozoospermia and Necrospermia affect the movement of the sperm. Presence of huge number of leucocytes in seminal fluid affects sperm motility which is termed as leucospermia. Normozoospermia is a terminology given for normal sperm which is normal in appearance and function and it is a normal characteristic exhibited by semen in seminogram. � Finally an embedded system based approach becomes inevitable to detect the anomalous condition and develop an early diagnosis system for infertility and also evolve the conventional microscope on a large-scale

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USB 2.0 camera processor (VC0346), Quadrant 2 MPSOC Sensor, Tablet PC, Microscope

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In this manuscript, for the removal of Rician noises from MR images a fourth order PDE (partial differential equation) based nonlinear filter is proposed. The filter implemented contains two terms firstly, the data fidelity term and secondly, prior function term. By minimizing the negative log likelihood of Rician probability density function (pdf) we get the fidelity term. A prior function is introduced because the solution of the first term has ill-posed nature. This prior function is a nonlinear anisotropic diffusion based filter. To maintain the trade off balance between these two terms a regularization parameter is introduced. In terms of PSNR at various noise levels the comparative study and performance analysis of the suggested model with other standard methods is presented for Brain Web dataset. From the results obtained, it is clear that the method implemented is performing better noise removal as compared to other methods.

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Nonlinear fourth order PDE based filter, 2D MR images, Rician�s probability distribution function, Rician noise reduction.

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reviews, fraudsters,early reviews.

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Precision agriculture is a farming system based on the combination of detailed observations, measuring and rapid response to optimize energetic input to maximize crop production. Precision Agriculture is one of the modern farming practices that make crop production more efficient. One of the major problems in agricultural domain is earlier detection of plant diseases. Currently, manual plant disease classification and counting are very time consuming with less accuracy. Detection of various diseases of plant is very essential to prevent the damage it can make to plant as well as to the farmers and whole Agriculture ecosystem. Regarding this practical issues, this project aimed to classify and detect plant diseases especially for tomato plant. Deep Convolutional Neural Network (CNN) based architecture is proposed for leaf disease detection and classification. The experimentation is carried out using Unmanned Aerial Vehicle (UAV) images. Plant village dataset, UAV images dataset, real-time images captured through UAV and some images downloaded from the internet are used. This system detects the diseases present in plant with more accuracy.

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Precision agriculture, Deep Learning, Convolutional Neural Network (CNN), UAV images, Plant disease.

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Slums are the face of urban poverty and illiteracy. According to the census 2011, the states with highest contribution to the slum population are Maharashtra (18%), Andhra Pradesh (15.6%) and West Bengal (9.8%). Alleviation of poverty is the most important weapon of improving general health. The income for the poor increases marginally, which makes it difficult to assure a better health condition in urban slums areas. According National Health Portal (2011), the MMR for India was 212/100,000 live births. About 830 women die from pregnancy- or childbirth-related complications around the world every day. Maternal mortality ratio in developing countries in 2015 is 239 per 100 000 live births versus 12 per 100 000 live births in developed countries. The above data given by WHO gave an insight to study the present scenario of maternal health in urban slum. This study attempts to examine the socio-economic aspects and food intake of mothers dwelling in urban slums. Thus it will help to identify anomalies and aspects related to urban setting and poverty. A cross-sectional study was conducted on 150 women in the urban slums of Budge Budge, Kolkata. A pilot study was done and an interview schedule was prepared to seek information on socio economic status by using Kuppuswamy Scale. Data were also collected on health facilities and food intake which were analyzed and the results are presented in the form of tables. It was found that 66% percent of pregnant women had secondary education, followed by higher secondary (26%) and graduation (12%) level of education. Kuppuswamy scale shows that 50% of the subjects were from upper lower class and only 1.33% was from upper class. Among the 150 subjects, 45.33% had pucca house, 64.67% had toilet facility, 28 % had proper drainage system and 28% had appropriate source of drinking water at their home. The food intake depicts the actual nutritional status of the mothers.

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Keywords: Slums, maternal mortality, socioeconomic status, Kuppuswamy scale

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Objective: This work aims at studying the indications and immediate to long term results of percutaneous mitral commisurotomy during pregnancy. Methods: A retrospective study of 246 mitral valve dilations performed during pregnancy from 1997 to 2018 in the Cardiology A department, Ibn Sina Teaching hospital Rabat. We analyzed clinical, echocardiographic and hemodynamic data before and after PMC: Results: Our patients� mean age was 28 � 5.2 years and the gestational age 28.1 � 4 weeks of amenorrhea. Mitral stenosis was discovered during pregnancy in 40% of cases and all 246 patients were primiparous. 94% of our patients were symptomatic (NHYA stages III to IV). 85% of patients had sinus rhythm. On cardiac ultrasound imaging, mitral stenosis was severe in all our patients: mean surface area of 0.8cm� and ? 1cm� in 85% of our cases; 90% of our patients had Wilkins� score of 8 � 9. Mean transvalvular gradient was high (21.4mmHg) and most of our patients had pulmonary hypertension (mean Pulmonary Artery systolic pressure 71mmHg). The procedure had 98% success rate with immediate regression of symptoms to NYHA stages I to II in 95% cases. After PMC, pregnancy reached full term in 95% of our patients with low fetal morbimortality and delivery in good conditions, mostly vaginal (85% of our cases). Conclusion: PMC is the ideal treatment for severe symptomatic mitral stenosis during pregnancy, yielding excellent results with very few complications. It leads to a clear regression of symptoms and improves hemodynamic parameters as well as pregnancy and delivery conditions. When indicated, PMC should be performed in a reference centre.

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mitral stenosis � pregnancy � Percutaneous mitral commisurotomy

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Technological interventions have brought significant advances in facilitating the research outreach over the years in learning. Based on this criteria the study �Challenges in Adoption of Technology in Agricultural Education - A Critical Analysis� was carried out to identify problems faced by the students in use of technological tools, suggestions to overcome those problems and to assess capacity needs of learners in use of technological tools,. The study was descriptive and data was collected randomly from 360 students of six Agricultural and Allied Universities by using structured and open ended questionnaire. The collected data was analyzed by using Training need index, Content analysis, Frequency and Percentage. The major problems faced by the students in use of technological tools are lack of funds (86%), advanced training (84.7%), maintenance (84.1%) and technical knowledge (83.3%) in use of technological tools. Major Suggestions to overcome those problems mentioned by students are requirement of financial support (87.5%), provision of training (86.3%), non-credit course should be mandatory (86.1%), Proper maintenance of available devices (84.7%). The results revealed that the students require training in effective use of technological tools in following training areas are preparation and use of technology based learning material (89.4%), self- evaluation of learning (89.3%) and training on advance learning applications (89.1%) which have been ranked as I, II, III positions respectively. From the study it can be deduced that, the training is necessary for students in use of technological tools which leads to changes in their learning style and also enhance the learning experience.

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Technological Tools, Effective Learning, Students/learners, Capacity, Training, Problems, Suggestions

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 Abstract

Varjil Mahakavi barediruva mahakavya Enied. Illi Mukyavada sangatiye Adhikarada daha mattu Apaharana. kelavaru adhikarakke hatoredare matte kelavaru tamma preyasi apaharanavadaralla enba sedina prateekara teerisikollalu honchu hakuttiruttare. ENIED Kavyada maha nayaka ENIES nu tanna jeevanadalli Devanu Devategala sahaya mattu Upatalavannu sahisikonde tanna Jeevana yatreyannu kaigolluttane, Aadaru avaninda TROY Nagarada patanavannu tadeyalu sadhyavagade, Devate Mattu Tandeya maatinate Deashantara Hoguva paristiti bandodaguttade.

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MOHADA KARANAVE DWESHA, DWESHADINDU YUDDHA.

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Gas leakage and Fire breakout are a major problem in the industrial sectors. Gas-powered vehicles like CNG (compressed natural gas) buses and car emits gases. Preventive methods of stopping gas leakage are essential. By installing a gas leakage detection kit at vulnerable places for controlling it. The aim of this paper is to design a fire and gas detection system for home and industrial safety. The proposed system makes use of a microcontroller with a sensing circuit. It will detect gas leakage and fire with the help of an alarm system that gives alert about fire or gas leakage. With the installation of a GSM modem, SMS is sent to notify the user if there is fire or gas leakage and if the fire occurs then water sprinkler performs the function of sprinkles water on the affected area to reduce the effect of the fire. Fire detection can be carried out by using the IR flame sensor. It detects the fire in the working area and alert SMS is sent to the user.

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compressed natural gas (CNG), GMS, Fire detector

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Abstract- peri-implantitis is a destructive inflammatory process affecting the soft and hard tissues surrounding dental implants. The soft tissues become inflamed whereas the alveolar bone (hard tissue), which surrounds the implant for the purposes of retention, is lost over time. The bone loss involved in peri-implantitis differentiates this condition from peri-mucositis, a reversible inflammatory reaction involving only the soft tissues around the implant. Present article discussed periimplantitis and its management.

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Periimplantitis, Mucositis, Bleeding on probing, Implant placement

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In recent years, fire accidents mainly in buildings are considerably increasing around the world. The reasons being due to overheating of pots and pan, improper way of keeping portable heaters, smoking in bedrooms, electrical equipment, candles near to explosive or flammable materials, faulty wiring, congested construction of the building and even due to increasing the number of population as well as improper light fittings. Fire outbreak is the third biggest risk to smart cities in India. According to the Indian Risk Survey (IRS) in 2018 and 2019, 7.24% of accidents occur due to fire outbreaks [1]. So the demand for an automation system to detect fire and take appropriate actions such as giving alerts as well as taking immediate action to reduce the intensity of fire has become obvious. In this zest, mainly two approaches are experimented and explored here. Primarily fire detection using machine learning approaches is achieved and also rule-based approach is employed with other relevant parameters. Different machine learning approaches like Deep Learning Neural Network (DNN), AlexNet, VGG-16, LeNet-5, and ResNet-50 experimented for classification of images and detection of fire based on image dataset. Also for rule-based system input from the context-aware sensor system was taken and adjudged the intensity of fire according to different rules to initiate appropriate actions.

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Machine Learning, Deep Learning, Internet of Things, Rule-based System, fire reorganization, context aware, fire disaster management, Building Automation System.

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Noise pollution is a developing problem now a days. The quickest effect is an illness of human mental health. Now days sleep disorder is a serious cause. Continuous propagation of noise can create frustration. Noise can make a more contribution to cardiovascular effect in human beings. That is a reason it is very difficult to live a healthy life for all. This system work on the methods of Internet of Things (IOT) which is an evolving technology. It also check the live intensity of noise in a particular area and also maintain a log over the internet, for further analysis and prediction. This system sensing the presence of polluted noise range. A micro controller is use to process the noise data and generate reports for authorities to keep a watch and take some precaution over the excessive noise. It also classify the noise using machine learning algorithm. This system can be used in various areas. It can be use near schools, college campus, hospital and no honking area and traffic areas.

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Noise Pollution Prediction, Noise Pollution Monitoring, Noise Tracking, Noise Pollution Prediction Using Machine Learning, IOT Based Noise Tracking Device

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Design, Simulation, Analysis, Bike model

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Abstract: Ayurveda gives equal importance to cure the vyadhi and prevention of vyadhi by application of healthy life style. Dinacharya is explained for healthy routine life and to avoid pradanyaparadh.There are many things described in ayurveda which comes under Pathyakara ahar and Vihara. Nidra is one of the most important things which come under vihar. It is one of the pillars of healthy life. Today people�s lifestyle is changing. Those people who have to work in night shifts suffer from nidravegdharan janya lakshana. �Nidravegdharana� means if someone is not getting sleep in night due to some reason or due to work is nidraveg dharan. Dinacharya described in Brihatrayi play an important role in presentation of healthy life. Nidravegdharan is most important problem occurring due to present lifestyle. Due to Nidravegadharana, there are lakshana are appeared like Shirogaurava, Shirojadya, Akshigaurava, Akshi Jadya, Alasya Jrumbhika, Angamarda, Shrama, Shiroroga, etc. Abhyanga is mentioned in Dinacharya.it is not only effective in disease condition but also beneficial in prevention of disease and maintenances of healthy life. Abhyanga is help in vata Shamana, sharirdrudhakara,twakamardavakara,kleshasaha,vyayama samhanana, Twakagata vatashamana,improve the flexibility of body, improve joint movement, physical capacity, increases immunity, it is indriyaprasadanakara etc. Hence Abhyanga is beneficial in Nidraveg Dharana janya Lakshanas.

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KEYWARDS: Dinacharya, Nidravegadharana Janya Lakshana, Abhyanga Etc.

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Dengue is one of the fastest spreading infectious diseases are a serious of the twenty first century, its profile is changing as it moves from urban areas to rural areas and to new geographic area of due to climate change. It is caused by dengue virus of the genus Flavivirus(family-Togoviridae) which is RNA virus. Aedes aegypti acts as a main vector, but there are other species of Aedes albopictus, A. Polynesiensies , A. Scutellaris

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Mosquitoes, A. Aegypti, A. Albopictus, A. Polynesiensies, A. Scutellaris, Dengue, Dhule, Nandurbar district.

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