Volume 9 | Issue 5

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Abstract is attached

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This paper presents a system that works on a set of data containing house prices of places in Mumbai along with the major parameters affecting the price such as area, location, swimming pool, etc. obtained from open web source Kaggle Inc. and predict the resale price under the parameters. The model implemented incorporates ensemble learning i.e. a combination of machine learning algorithms instead of relying on a single algorithm for improved predictions. The ensemble model incorporated in our system (weighted average of Decision Tree, Linear Regression, and K-Nearest Neighbor) brings an added advantage over using solo algorithms in the process of obtaining minimum error in prediction. The trained model demonstrated a Mean Absolute Percentage Error (MAPE) of 16.09%.

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House Price Prediction, Linear Regression, Decision Tree, KNN, Ensemble Learning

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In this paper we will make use of the convex spaces and its tensor products.

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Convex Space, Tensor Products, Duality, Topological Space.

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It has been found during a survey that 80% losses caused thanks to fire would are kept faraway from if the hearth was identified promptly. ESP32 based IoT empowered fire indicator and observing framework is that the account this issue. during this task, we've assembled fire finder utilizing ESP32 which is interfaced with a temperature sensor, a smoke sensor and signal. The temperature sensor detects the heat and LDR sensor detects any light produced due to monitoring or fire. buzzer related to a ESP32 gives us an alert sign. a fireplace caution can likewise be activated due to little candlelight or oil lights utilized as a neighborhood of a family. Bell or alert is killed at whatever point the temperature goes to ordinary temperature an light level decreases. With the help of IoT innovation ESP32 fire checking serves for mechanical need and also for relatives reason.

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ESP32 micro controller, DHT11 sensor,LDR sensor,buzzer

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The coronavirus disease originated from China is spread across worldwide .As per the recent count India has the second highest number of cases in the world. Machine learning tools and techniques are widely used to curb the disease. The paper firstly gives an overview of methodologies that can be adopted and the system proposed to design the framework. Our project aims in develop a robust automated model for exploratory data spread analysis and forecasting for COVID-19.

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Machine Learning(ML) , Artificial Intelligence(AI) ,COVID-19 ,Coronavirus

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In this chapter a deterministic inventory model has been developed for deteriorating items having a ramp type demand with the effects of inflation with two-storage facilities using Genetic Algorithm. The owned godown (OG) has a fixed capacity of W units; the rented godown (RG) has unlimited capacity using Genetic Algorithm. Here, we assumed that the inventory holding cost in RG is higher than those in OWG. Shortages in inventory are allowed and partially backlogged and it is assumed that the inventory deteriorates over time at a variable deterioration rate using Genetic Algorithm. The effect of inflation has also been considered for various costs associated with the inventory system. Numerical example is also used to study the behaviour of the model using Genetic Algorithm. Cost minimization technique is used to get the expressions for total cost and other parameters using Genetic Algorithm.

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Keywords:- Inventory model, owned godown, rented godown, deteriorating items and Genetic Algorithm

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Fabrication of Rice Machine essential for farmers

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Buddhist Nagarjuna, who well known as 'The second Buddha' was a great logician. He was a follower of Mahayana sect and became the founder of Madhyamika School. Like Sri Buddha he advised his pupils to adopted 'the middle-path' between the luxuries and austerities. He belied that can help one to lead man a perfect life. The word 'Madhyamika' is derived from the word 'madhyama' which means , 'middle,. This school advocates neither the reality , nor the unreality of the world .But they accept mere relativity. They accept the 'sunyata' or 'voidness' to be the central idea of their philosophy. So they were known as 'Sunyavadins'. The Mula-madhyamika-karika by Nagarjuna, Mula-madhyamika-vrtti by Buddhapalita, Hastabalaprakarana by Arya Deva, Madhyama-hrdaya-karika by Krishna Madhyamakavatara-tika by Jayanta are Principal works of Madhyamika school. Nagarjuna's Mula-madhyamika-karika adorns the first position among them. He laid the foundation to logical topics in his philosophical works and developed the philosophy of voidness or sunyavada. Through the deep influences of his doctrines on Buddhism he had been called "The Founder of Eight Sects". His writings and philosophical arguments were adorned with an unwavering texture of logic.

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Buddhist Nagarjuna - Follower of Mahayana- Great Philosopher- Logician - Founder of Mahyamika School and Sunyavada -Author of Many Valuable works- propagator of Buddhism is a multifaceted Personality in the field of Buddhism, Logic and History.

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- In this paper we have discussed about the Zigbee is a low-power, low-data rate, and proximity PAN (i.e., personal area networks) wireless ad hoc network technology. This was developed as an open global standard to address the unique needs of low-cost, low-power wireless IoT networks. It is based on IEEE 802.15.4 specification for a suite of high-level communication protocols.

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Zigbee, PAN, IEEE 802.15.4, IoT

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This study has been undertaken to explore the role and effectiveness of Yoga Nidra on mental health and its future implications in the early postnatal population. The current body of literature is reviewed to evaluate the impact of Yoga Nidra on stress, anxiety and depression. Proposed hypothesis for future research including Yoga Nidra as the main intervention for the postnatal population is given in this review. The term Yoga Nidra has been used in many studies to refer to the simple and effective technique of complete relaxation. It is made simple and available to all by Swami SatyanandaSaraswati. This study is based on the content analysis of similar researches already conducted in the past. Origin and technique of Yoga Nidra is reviewed and findings of the studies examining the psychological effects of Yoga Nidra among women are discussed in relation to stress, anxiety and depression.

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Yoga Nidra, Relaxation, mindfulness, Neuropsychiatric

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Tuberculosis, diagnosis, Mycolic acid.

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Keywords: CdS, capping agents Mercaptoethanol, Thioglycerol, PVP.

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Since ancient times, potential of plants in research and medicine have found pronounced applications, due to better therapeutic value. To meet the mounting demands for commercial nanoparticles, novel eco-friendly methods of synthesis has led to a remarkable progress via unfolding a green synthesis protocol towards metallic nanoparticles synthesis. Nanotechnology on herbal constituents to tailoring for its potential benefits has been gained an imperative circumstance in recent times. Researchers are focused on the nanotizing the herbal proportions to render and take diversified advantages, as well as to precede futher explorations in the field.Nanophytomedicines are prepared from active phytoconstituents or standardized extracts. Nanotechnology has been considered to be a novel innovation of the period in different fields of science. The different types of nanocarriers that are used in cosmetics such as cubosomes, liposomes, hydrogels, dendrimes, nanoemulsions, nanocrystals, microemulsion, and solid lipid nanoparticles. These nanoparticles have benefits of higher stability, insolubility or bio-persistent, hyperpigmentation. This review on nanotechnology used in cosmetics draws special attention to different types of nanoparticles used in cosmetics and their characterization techniques.

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Nanotechnology, herbal, Phytoconstituent

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This article investigated all about breast cancer a different dimensions of breast cancer and its associated factors. It revealed that breast cancer was and continues to be among the most prevalent and growing malignant diseases among Iranian women in the past four decades. Also there are mast cells and their relation between breast cancers is shows. In this article, required information was collected through literature review and keyword (cancer, breast cancer, cell, gene, life quality, women, prevalence, productivity, age, obesity, alcohol, cigarette, menopause, genetic, Cytokine, and mortality) this disease affects all physical, mental, and social aspects of women life. On the other hand, such factors as social and family supports during the illness can reduce its damages.

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Cancer, diagnosis, mast cells.

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Metal matrix composites reinforced by nano-particles are very promising materials, suitable for a large number of applications. These composites consist of a metal matrix filled with nano-particles featuring physical and mechanical properties very different from those of the matrix. The nano-particles can improve the base material in terms of wear resistance, damping properties and mechanical strength. Different kinds of metals, predominantly Al, Mg and Cu, have been employed for the production of composites reinforced by nano-ceramic particles such as carbides, nitrides, oxides as well as carbon nanotubes. The main issue of concern for the synthesis of these materials consists in the low wettability of the reinforcement phase by the molten metal, which does not allow the synthesis by conventional casting methods. Several alternative routes have been presented in literature for the production of nano-composites. This work is aimed at reviewing the most important manufacturing techniques used for the synthesis of bulk metal matrix Nano composites. Moreover, the strengthening mechanisms responsible for the improvement of mechanical properties of nano-reinforced metal matrix composites have been reviewed and the main potential applications of this new class of materials are envisaged. The fatigue properties of AMCs are affected by poor toughness ,low ductility, and resistant to crack growth which is attributed to the reinforcement particles, sizes, and shapes, because the crack growth rate behavior of the composite displays a markedly higher sensitivity to the applied stress intensity (K) than observed in most metals. The use of nano-sized ceramic particles has been reported to strengthen the metal matrix, while maintaining good ductility, high temperature creep resistance, and better fatigue. Based on this background, fatigue properties of Al-Si-Mg/palm kernel shell ash nanoparticles (PKSAnp) was investigated. Sol-gel method was used in the production of the PKSAnp; 4 wt% of PKSAnp was added to Al-7%Si-0.3%Mg alloy to produce A356/4 wt% PKSAnp composites; fatigue properties were determined as per ASTM E466; microstructure of the composite was determined using a scanning electronic microscope; ANSYS bench work software was used determined the factor of safety and fatigue life. The presence of PKSAnp in the alloy has great influences that alter the number of cycles obtained for the composite even at higher temperature. The presence of PKSAnp shifted the curve to a higher number of cycle before failure. The result shows that failure of the alloy will occur before the design life is reached since the minimum value obtained for the alloy is less than one.

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Fatigue properties of value added composite, Fatigue properties, Aluminium, Value added composite

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Riti, Pravrthi, Dakshinatya, Gaudiya Marga, Paurastya, Vaidarbha, Guna, Visishista, Alankaras, Prasanna, Riju, Komala, gaudiya, Sabdas, Arthas, Panchali Ojas, Kanthi, Ladiya, Kausiki, upanagarika.

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Consumer attitude towards apparel purchase has rapidly changed, with the advent of online options. Now, customers can compare products available in different sites, add enough filters to match their criteria with reference to style, fabric, budget etc; all this from the comfort of their homes. This project is being conducted to better understand the behaviour of people who make clothing purchases through a digital interface. This research primarily focuses on factors influencing buyers when selecting apparel/fashion apps, understanding the most chosen digital medium such as shopping websites, apps, etc. and determining the factors that makes them buy - such as online ranking & analysis, review videos of fashion influencers, social media advertisements and so on. The shift in impulse buying behaviour due to digital marketing is also studied. According to the report, buyers shop digitally to save time, money and to reach a broader variety of products and services. Consumer's choice of digital channels does differ based on their age, gender and income level. Furthermore, there is a link identified between the ability of social media blogs and reviews to influence buying decision and gender and age.

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digital marketing, consumer, online, review, impulse purchasing.

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Education, Digital Education, Online Education, Information Technology

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Microbial load, Volatile Organic Compounds, Sick Building Syndrome, Indoor Air Quality, Occupational Health Hazards.

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Key words: Diabetes mellitus, Prediabetic, Fasting Blood glucose, Impaired Fasting Glucose

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