Volume 9 | Issue 8

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Index Terms - Covid- 19 pandemic, green buying behaviour, green purchase intentions, lock down restrictions etc.

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In wireless communication era, for satellite navigation applications a dual band stacked patch antenna with and without slots are proposed to operate at 1.6GHz and 2.4GHz frequencies. A top patch is placed over a bottom patch and a ground plane to form a stack. A single coaxial feed mechanism is used to excite the antenna. In this paper two stacked patch antennas V slot HEXAGON SHAPED and HEXAGON SHAPED were proposed. Comparison of parameters like return loss, VSWR, Gain were done. The antennas dimensions were computed with accuracy. Using HFSS the simulation results were presented.

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Key words: VSWR, return loss, polarization, gain.

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Connection , Monitoring, Psychology Autonomy, Lying , Dishonesty ,Stealing ,Cheating , Moral reasoning ,Withdrawal Deviance Expected Deviance , Rebellion Deviance .

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Abstract Women make remarkable contribution to the society. But in a developing country like India; most of the female work force is in the unorganized sector. Coming mainly from lower socioeconomic strata, these women take up employment primarily to support their family income and play a major role in areas like sericulture, agro forestry and farming. Yet it is goes unaccounted as their contribution and is considered as an extended part of their domestic duty.(Gautam and Sarma-2003). In ths paper an effort was made to observe the strength of silk industry in Women empowerment especially in Economic empowerment. It is seen these industry has enough strength in women empowerment. Key word: Sericulture, Women Empowerment, Socio economic Strata.

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Sericulture, Women Empowerment, Socio economic Strata.

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In India, there are many institutions like banks that grant loans to finance businesses. So what raises the need for the Microfinance companies? The need arises as it provides financial assistance to businesses that cannot place collateral, encourages women entrepreneurs and provides assistance even for nominal amounts which generally are funded as hand loans and many things which normal banks are not providing. Prof. Muhammad Yunus the Nobel Prize Winner minted out the idea of Microfinance in the 1970s in Bangladesh. In simple terms, microfinance is a type of banking service which is provided to the people who have difficulty in assessing the formal services. Microfinance services are provided by banks, credit unions and microfinance organizations which are also known as Micro Enterprise Development Organizations (MDO). These companies provide micro-loan, savings and insurance to the poor people for income generating activities. The basic aim and principle of microfinance: Combating poverty through microcredit, and primarily serving women in emerging countries. The main aim of this paper is to analyze the growth of country through Microfinance.

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NABARD, Financial Institutions, Poverty, Self-Employed.

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Beams are extensively utilized in various engineering application fields, like machinery, aerospace, automobile and else. Crack is the vibrant structure can lead to premature failure if it is not identify in early stages. The failure rate increases as the crack growth increase due to the structure becomes weaker. Therefore, crack identification and type is a key issue. The existence of crack which influence the performance of structure also because the vibration parameter such as; natural frequencies, mode shapes, stiffness and modal damping. Our current investigation is to model a rectangular and angular edge crack in a cantilever beam and analyze the model using a finite element package, as well as experimental approach. A finite element model has been developed to analyze the variation of modal parameters according to the location, size and angle of crack in the cantilever beam. The proposed method is predicated on measured frequencies and mode shapes of the beam.

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cracked beam, rectangular crack, angular crack, crack location, crack depth, FEA, natural frequency.

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The worldwide COVID-19 pandemic is expected to have a significant influence on death, dying, and grief experiences. During a pandemic, no research studies have focused on the consequences and assistance for grieving people. Innovative approaches to build connection and modify rituals while preserving respect should be a current emphasis. Strong leadership and cooperation amongst grief organisations are essential. Social support is an important consideration for understanding the impact of COVID-19 on loneliness and well-being. Social support requires many people to change their typical ways of connectedness. Future studies are needed to understand how access to technology may help buffer loneliness and isolation. The study revealed the lived experiences of COVID-19 survivors and their family members. It mainly showed how survivors and family members navigate through biomedical systems, complementary healing practices, resilience and stigma.

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COVID-19, Social support, connectedness, experience and family.

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ROBUST MALWARE DETECTION IN INTERNET USING DEEPEIGEN SPACE LEARNING

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ROBUST MALWARE DETECTION IN INTERNET USING DEEPEIGEN SPACE LEARNING

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Body mass index, flatfoot, knock-knee.

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Education is a purposely organized activity between the educator and the learner. It helps the learner to lead a fruitful and harmonious life. In ancient India, education was imparted in the Gurukulam in natural condition. Every requirement for the child developed was checked and evaluated by the teacher in the Gurukulam. The role of teacher was to train the students in morality, mental growth and disciplined life. The medieval education also emphasized the personal relationship between the college teachers and the taught. This aspect of teacher was slightly altered in the British regime. The teacher was expected to educate pupil to acquire new skills and modern techniques

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WORK LIFE, TEACHING

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Construction Industries is one of the largest, challenging and demanding business sector in worldwide which play vital role in the economic as well social growth of economic country. This industry is considered to be one of the most susceptible to unethical practices because it involves substantial capital investments, providing large scale opportunities for rent extraction as well as investment that usually cannot be redeployed after implementation. Unethical practices can take place at every phase of a construction project during the planning and design, pre-qualification and tender, project execution, operation and maintenance. Such practices can result in projects which when completed are considered unnecessary, unsuitable, overlay complex components, overpriced. This study depends on the questionnaire survey amongst professionals, contractors of construction industry and technical analysis by RII (Relative Importance Index) method. The study recommends the promoting awareness regarding the values of ethical and Unethical behavior different forum and ensuring the effective punishment for unethical activities at different stages of project life cycle might reduce unethical practices in construction industry and to ultimately improve the project performance.

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In Wireless Sensor Networks, data collecting is one of the most important features (WSNs). Despite the fact that various novel ways to data gathering have been proposed over the last decade, it remains a hot research topic with a number of significant hurdles. One of the shortest path techniques in wireless sensor networks is Dijkstra's method.The virtual proxy network delivers data within the server. When you connect to a VPN, you're essentially establishing a tunnel between your device and the VPN server of your choice, encrypting all data sent and received. Virtual private networks (VPNs) let organisations to construct secure, end-to-end private network connections over third-party networks like the Internet rather than having separate Leased lines by utilising contemporary encryption techniques such as 3DES and tunnelling. We employ techniques to determine the shortest path and encrypt data shared on the server in this work.

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Wireless Sensors Network, Data routing, Proxy network, Triple DES, MD5

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Animals are important and should be cared for in human life. They should be provided with appropriate care in a proper, suitable and safe environment. A system is needed to remotely track and monitor animals. New technologies evolve over the years. As major enabling technology for tracking worldwide stuff, RFID (Radio Frequency Identifier) has developed. As a power supplier, RFID tags need battery to run the microchip circuitry, and transmit signal to the RFID reader. This is the system we develop that helps users understand the behaviour of the animal for research/study purposes who are not all allowed to track and study these animals.

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Spodoptera litura is a global and major pest, which attacks a good range of cultivated plants including wheat, pulses, oilseeds, fiber crops, vegetables and decorative plants. This pest can grow and survive on several plant species, belonging to approximately 37 families in India and it feeds on at least 157 plants species. There is a need for a more imaginative and holistic approach to research directed towards the management of this pest. In the present study we analyzed the impact of different tomato varieties on adult emergence, sex ratio and longevity of Spodoptera litura. In the present experiment we used Arka Abha, Arka Saurabh, Pant Bahar, Ratna and Pusa Gaurav tomato varieties as artificial diet for the pest. Results indicated that adult emergence of Spodoptera litura was minimum (69.33%) on variety Arka Saurabh and maximum (85.64%) on variety Pant Bahar. It is recorded from the data that the male longevity is maximum in Pant Bahar (30.33 days) and minimum in Arka Saurabh (23.92 days). It is amply documented that maximum female longevity recorded in Pant Bahar (38.65%) and minimum female longevity recorded in Arka Saurabh (31.65%). It is apparent from the data that the minimum sex ratio observed in Arka Saurabh (1:1.23) and maximum sex ratio recorded in Pant Bahar (1:1.93).

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Arka Abha, Arka Saurabh, Pant Bahar, Ratna, Pusa Gaurav, Spodoptera litura

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Aim The aim of the present research was to study the Knowledge, Attitude and Belief of Gynaecologist, Practicing Physiotherapist and Other Medical Practitioners of Jalgaon district about exercises during pregnancy. Introduction Pregnancy is the period of dynamic physiological changes for mother. Exercise plays an important role for the development of the baby and mother. Recent study shows that exercise during pregnancy is safe for both mother and the foetus5.Thoughbenefits of exercises during pregnancy are already proven, many pregnant females are still afraid of doing exercises because of inadequate guidance that is being provided to them during their pregnancy period. Hence the survey was carried out to study the knowledge, attitude and belief of Gynaecologist, Medical practitioners, Physiotherapist and Other health care professionals of Jalgaon district about exercises during pregnancy. Material and Method 165 Gynaecologist,Medical practitioners, practicing Physiotherapist and Other health professionals were included in this study as per the convenient sampling method. A self-made questionnaire was distributed among the willing participants. Data was analysed statistically & results were found out. Results Demographic data was analysed. Then all the questions of the questionnaire were divided into 3 broad components (knowledge, attitude & belief) & they were assessed for the responses. Statistical analysis was done for all the questions of the questionnaire. Conclusion This study concludes that the medical practitioners, gynecologists, physiotherapist and other health care professionals of Jalgaon district are apprised of the benefits of exercise during pregnancy. They also believe in suggesting the exercise program for their pregnant patients. But there is a dearth in the attitude towards recommending the patients to physiotherapist for specific exercise prescription for every patient.

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Attitude, Belief, Pregnancy, Benefits of exercises, Medical practitioners

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Seaweed is the marine algae that grows in oceans, rivers and lakes. This plant consists of vitamins, minerals, amino acids and proteins. The present study characterized and analyzed the petroleum ether of Eucheuma Spinosum. The extract was subjected to various phytochemical, antimicrobial and anti inflammatory and to determine its cosmetic potential. Due to its vast variety of bioagents it possess antimicrobial and antioxidant properties which have found their way into cosmetic product formulation.

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Phytochemical, Antimicrobial, Cosmetic potential and bioagents

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The key issues in water level research are the complex underground waters in reservoirs and the prediction of water level volatility patterns. Previous studies have relied on past data to forecast the future trend of a reservoir's water level, rarely taking into account co-movement across reservoirs in the same region. In this project, we attempt to integrate a complicated underground water technique with artificial intelligence to forecast water level trends in related reservoirs for forecasting. For multivariate reservoir time series, we first suggest a new pattern subterranean water construction approach. It has been discovered that properties of underground water morphology, such as average heat, humidity, depth, and evaporation can all be used to spot periods of rapid change in the reservoir. To anticipate a reservoir's next-day volatility patterns, K-Means (K-Means), Nave Bayes (NB), and support vector machine (SVM) algorithms use the architecture feature variables for each combination symbolic pattern as input variables. The findings show that for the two methods, border and search approaches may be utilized for discover the best models. Forecasting the dammed water level and managing the dam in the reservoir are two of these tasks that are critical in evaluating structural concerns in dams, water supply, and available resources in many situations. the state of the water, biodiversity conservation, and navigation management are the issues that this initiative is addressing. The challenge of predicting blocked water levels in reservoirs can be solved by evaluating a variety of predictive variables (input data).

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Dam water level; K-Means; Naive Bayes; SVM Algorithms.

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Virtual Learning Environment (VLE), Web Based Learning, Student Performance Prediction, k-NN, Naive Bayes, Logistic Regression, Liner Regression, Support Vector Machines (SVM), Decision Trees, Random Forest,

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