Volume 10 | Issue 10 |

 Abstract

Rocky Mountain spotted fever (RMSF) is a tick-borne disease which is caused by an organism Rickettsia rickettsii. Although RMSF can be lethal, it is curable. RMSF is the most common rickettsial infection. The organism is endemic in parts of North, Central, and South America, especially in the southeastern and south-central United States. Rocky Mountain spotted fever (RMSF) is a bacterial disease spread by ticks It typically begins with a fever and headache, and a few days later followed by with the development of a rashes. The rash is generally made up of a small spots of bleeding and starts on the wrists and ankles. Other symptoms may include muscle pains and vomiting Long-term complications following recovery may include loss of hearing or loss of part of an arm or leg. The disease is caused by Rickettsia ricketsii, a type of bacteria that is primarily spread to humans by American dog ticks, Rocky Mountain wood ticks, and brown dog ticks. Rarely the disease is spread by blood transfusions Fewer than 5,000 cases are reported a year in the United States, most often in June and July. It has been diagnosed throughout the contiguous United States, Western Canada, and parts of Central and South America. Rocky Mountain spotted fever was first identified in the 1800s in the Rocky Mountains.

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 Keywords

tick-borne disease, ticks, spotted fever

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Intelligent data processing, natural language processing, autonomous vehicles, and robotics are just a few of the many key applications and areas of research that benefit from the study of artificial intelligence. Machine learning (ML) refers to a set of procedures and techniques used to solve the issues of categorization, clustering, and prediction at the heart of AI. Artificial intelligence and machine learning's potential in the real world is bright. As a result, there is a lot of study being done in this field. But at the moment, AI's more intensive social use and its industrial uses are still not commonplace. Both AI itself (internal problems) and society as a whole (external problems) must be taken into account while attempting to tackle the difficulties of ubiquitous AI applications. Priorities for expanding the use of AI in industry and society can be determined after giving this issue careful thought. This article identifies and discusses some of the obstacles to using artificial intelligence in resource-based economies and societies. Publications in the field form the basis for the systematic application of AI&ML technology. Through this methodical approach, we are able to define our organisational, human resources, societal, and technological bounds. This review article lays out the research priorities in AI and ML that will allow us to extend the range of AI&ML's applications and overcome some of its limitations.

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 Keywords

Artificial Intelligence, Machine Learning, Social Technological applications.

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Because of the worldwide lockdown and decreased demand, the global epidemic of COVID-19 has had a significant influence on financial markets. The economic situation has gotten worse as the price of crude oil has dropped. The corona virus and the lockdown period have had an impact on the country's economy. The Bombay Stock Exchange (BSE) and the National Stock Exchange (NSE) are the two most important stock exchanges in India (NSE). The impact of the COVID-19-induced stock market lockdown is investigated in this study. The study looks at how much of an impact the lockdown has on the Indian stock market, as well as whether the market reaction is the same before and after COVID-19. The effect was determined by comparing the Nifty 50 index Pre and Post COVID-19.

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COVID-19, NSE, BSE, Stock Market

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Ecocriticism, Deep Ecology, Biocentric Egalitarianism, Taboos, Rituals.

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Among recently developed non-conventional machining techniques, Electro Discharge Machining (EDM) is one of the most widely used methods for ''hard to machine'' materials such as heat-treated tool steel and other ''hard-to-machine'' materials, such as ceramics and hastelloy, nitralloy, nemonic alloys, carbides, and heat-resistant steels. To remove electrode material, EDM uses high-frequency sparks between the tool and the workpiece. The EDM process's material removal rate (MRR), tool wear rate (TWR), and surface integrity are three of its most important performance metrics. The goal of EDM is to produce a machined component with an excellent surface quality while also achieving a high MRR. Machining parameter settings that yield the highest MRR are directly related to surface area, which has become an essential problem in the approaching widespread use of AISI P20 in the manufacturing industry. To make injection molding tools, the tooling industry uses AISI P20 steel. Because of their higher strength and hardness, these steels are classified as ''difficult to process.'' materials. Because of this, standard and non-traditional machining of AISI P20 steel is known to provide significant difficulties. As a result of these considerations, an experiment was conducted to examine the EDM surface's productivity, quality, surface integrity, and accuracy. Working with an AISI P20 steel work-piece and copper electrode, the research was conducted. Discharge current (Ip), time on pulse (Ton), time off pulse (Toff), time up lift (Tup), and time on work (Tw) are just a few of the important machining characteristics that will be examined. MRR, TWR, Surface Roughness (SR), Micro hardness (MH), and the influence of machining settings on these responses were studied.

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To check the EDM Performance on AISI P20 Steel.

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Occupational stress, Self-esteem, Personality Type a, Type b, Mixed, School teachers

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This study has A Pressure Transmitter is an instrument connected to a Pressure Transducer. The output of a Pressure Transmitter is an analog electrical voltage or a current signal representing 0 to 100% of the pressure range sensed by the transducer. This article provides step-by-step Procedure for Pressure Transmitter Calibration and Ranging, LRV and URV configuration of transmitter. ___________

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Pressure Transmitter,Transducer, Rosemount Make, 3051 Series, Multimeter, HART communicator, Calibrator (Pressure range should be greater than the transmitter), Pressure Transmitter Manifolds.

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In human principal part of the body is heart. It is the most important organs in our body. Irregularity in our heart can effect destress in our body. Malfunctioning of our heart is termed as Cardiac disease or heart disease. The major heart diseases are cardiomyopathy (heart Muscle disease, congenital heart disease, Coronary Artery disease (CAD), heart Arrhythmias, heart failure, heart valve disease, Pericardial disease. Heart attack & heart failure are the most common heart diseases. Finding the causes of heart disease is the most important factor to our study. In this paper we have to study the prevention or minimizing the chances of getting heart disease and also we have to study the relationship between gender and heart disease. Heart disease is affected by several factors such as smocking, Cholesterol, diabetes, blood pressure, drug misuse, stress. Excessive use of alcohol and many more. Handling of imbalance data process is great challenge for the researchers to identify the significant factors. Detection of significant variable using classification model will reduce burden of doctors. The main focus of the study is to identify the major factors associated with significant variable & identity the better classification model. The prediction performance of different classification models is compared based on accuracy measure.

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Classification, Heart disease, Logistic regression, Chi square test.

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Wind power is one of the rarest and most abundant forms of energy. Electricity can be generated with the help of a vertical wind turbine. This project aims to use this wind energy more efficiently to generate more electricity, so we have chosen the highway as our input area where we can take advantage of the traffic on both sides of the road. In the current operation, the turbine is designed and designed as specified, the blades used are semi-circular and connected to a disk attached to the shaft. The shaft is connected to the pulley with the aid of a bearing, and the pulley is connected to an alternator, which generates power. Enhanced power is stored in the battery and can be used in street lighting, signal or toll. In this project a small model was created for testing purposes. The project also aims to produce high cost at low cost, so that the government can think about the project and be able to use this type of axis wind turbine on highways at low cost.

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Wind mills, smart road, electricity generation, wind turbine

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 Abstract

The combination of some rare metal ion with an important 2-(1,3-benzoxazole -2-yl - sulfanyl )-N-phenyl acetamide (BSPA) ligand to form coordination compound is an important area of current research. Less explored and biologically important BSPA ligand is allowed to react with solution of some rare metal perchlorate and attempt have been made to synthesize solid Ho-BSPA complex. These 2-(1,3-benzoxazole-2-yl-sulfanyl)-N-phenyl acetamide complex is subjected to U.V visible spectroscopy, IR spectroscopy, TGA analysis and elemental analysis. Antimicrobial activity of these complex has been evaluated by standard methods and attempts have been made to correlate structural characteristics with properties of these BSPA complex.

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 Keywords

2-(1,3-Benzoxazole-2-yl-sulfanyl)-N-phenyl acetamide complex, catalysis, antimicrobial activity.

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Creative Commons Attribution 4.0 and The Open Definition