Volume 10 | Issue 3 |

 Abstract

Enteric fever continues to be a major cause of mortality and morbidity globally, particularly in poor resource settings. Lack of rapid diagnostic assays is a major driving factor for the empirical treatment of enteric fever. Salmonellae are food-born pathogens transfer through oral ingestion of contaminated food or water and causing disease in both healthy and immune-compromised people. Current study was designed for isolating and identifying Salmonella typhi from blood samples. This study was conducted on 39 patients from both genders suffering from typhoid fever. Their age range was 1 to 50 years. The samples were collected from different hospitals in Ujjain city. The effect of age, gender and residence on the frequency distribution of typhoid fever was also determined. The collected samples were tested by culture. The results showed that blood culture and serological techniques are used to isolate Salmonella typhi and Salmonella paratyphi

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Key words: typhoid fever, ICT, salmonella typhi, blood culture

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The banking system in a competitive environment is confronting new challenges and opportunities with reference to its policies and management system. Banks need to endure not only the stress and strain of growth but also to stand the challenges arising from the rapid changes in the banking scenario. Banks need to modify organizational structure, pragmatic operational policies, sophisticated control mechanism and skilled manpower for the overall strength of the banking system in accomplishing the objectives. By studying change management in banking sector with reference to State Bank of India in Vizianagaram City in Andhra Pradesh the researcher able to identify the impact of change management in banking industry. The study emphasizes on establishing association of change management with working efficiency and work performance of the employees. A sample of 90 employees of SBI from 12 different branches of SBI, Vizianagaram city was selected. The study revealed a positive relationship among the variables.

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Change management, work efficiency, work performance

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Anaemia, besides its biological and physiological determinants, to a considerable extent is also influenced by the social and economic conditions of the adolescent girls. The rationale being socio-economic factors differentially affect the ability of households to afford adequate nutrition to the growing girls. A number of studies point out the significance of social and economic factors in the incidence of anaemia. In view of the underlying assumption, a survey based on a sample of 1437 adolescent girls, studying in 21 schools in district Kinnaur in Himachal Pradesh was carried out. The block-wise 10 schools were taken from Kalpa, 5 from Pooh, and 6 from Nichar. The block-wise sample taken randomly was 756 adolescent girls from Kalpa, 263 from Pooh, and 418 from Nichar block. All the girls included in the test underwent Hb test to find out how many suffer from anaemia and their socio-economic background. The study found that majority of the girls have haemoglobin 8.9 and 9 to 11, whereas only few girls are having haemoglobin 12 plus. The study makes significant revelations social, demographic and economic factors have a determining effect on anaemia among adolescent girls.

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Health, Anaemia, Adolescent Girls, Kinnaur,

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Water is the resource that sustains all life on earth and is a key element of sustainable development. Water pollution occurs when unwanted pollutants are discharged directly or indirectly into water bodies without adequate treatment to remove harmful compounds. Water pollution affects plants and organisms living in water bodies and also to the natural biological communities. The direct effect of water pollution results in increased amount of microbial population. In these microbes some species are useful and some are harmful for human being. Present study deals with the isolate and identify microflora species at different levels of Khan River of Ujjain District.Micro floral study of the river also shows that there are number of microbial population present in it, which are all pathogenic and not only harmful for the human health but also for aquatic flora and fauna. The results indicated that therewere different types of bacteria distributed throughout different sampling stations as Pseudomonas (37.79)%, Salmonella (15.74)%,Klebshilla (11.81)%, Enterobactor (7.08)%, Streptococcus (7.34)%, Actenomycetes (5.24)%,and finally E.Coli (5.24)%. We concluded that Pseudomonas were the most dominant followed by salmonella bacterial strain in the sample.

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Keywords:Microflora,Staphylococcus,sewage, fresh water.

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In the most advance, production six-axis industrial assembly line and martial handling robots are widely use to manipulate production produce in or six degrees of freedom in space. Industrial robots from manufacturers for welding milling assembly and other application material handling can be define as an integrated system that involves activities such as handling storage and control of materials. Handling is a professional activities of modern manufacturing companies. Effective material handling solution can significantly reduce production or distribution cost. In this work the size and design of an industrial robot with six degrees of freedom are describe, which are use to study various method of controlling robotic arms and the future scoop and various shortcomings are discussed.

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Production line, assembly line, martial handling, inventory

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Cupping, Acupressure, Perineal Pain, McGill Pain Questionnaire

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Python is a scriptable and interpreted language for both learning and real-world programming. Python is a powerful high-level language developed by Guido van Rossum. In this paper, we will provide an introduction to the main Python programming software tools used for Data science, Machine learning techniques. Briefly, this paper will first introduce Python as a language, and give introduction about Data science, Machine learning and then describe packages that are popular in the Data science and Machine learning sectors, such as NumPy, SciPy, TensorFlow, Keras ,Matplotlib etc. From there, we will move to show the importance of python for building data Science applications. We will use different code examples throughout. To aid the learning experience, execute following examples contained in this paper interactively using Jupiter notebooks.

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The aim of paper is to propose a different method for measuring and billing of the energy consumed rather the conventional method as well as to minimize the queue at the electricity billing counters. In order to avoid waste of money in this system we have used GSM SMS based billing process. It is possible to recharge the electricity balance through this system just by sending an SMS. An earlier charging will undoubtedly get rid of the issues of unpaid bills and human mistakes in meter readings, along these lines guaranteeing justified income for the utility. Now a days power corporation face many problems such as power theft. Theft of electricity can be a increase the cost of electricity bill. This system will easily detect power theft. This system provides efficient meter reading, avoiding the billing error and reduces the maintenance cost.

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Internet Of Things (IOT), Arduino Uno, GSM, Energy Meter, LCD.

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 Abstract

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??????? ?????? ?????? ??? ???? ?????? : ?? ?????????

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In early December 2019, an outbreak of coronavirus disease 2019 (COVID-19), caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), occurred in Wuhan City, Hubei Province, China. On January 30, 2020 the World Health Organization declared the outbreak as a Public Health Emergency of International Concern. We conducted a review of publicly available information to summerize knowledge about the pathogen and the current pandemic. In this review, History, epidemiology, transmission & life cycle of COVID-19 are all studied. The aim of this study was to summarize the mechanism, antiviral activities of remdesivir against SARS-CoV-2, the causative agent of COVID-19.

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COVID-19, Remdesivir, SARS, Corona

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