Volume 11 | Issue 1 |

 Abstract

Due to various benefits, people are becoming more interested in herbal medications nowadays. Formulations made from herbs are now widely accepted as effective treatments for many ailments. Even if the majority of these uses are unconventional, it is a known fact that more than 80% of the world's population relies on herbal products and medicines to maintain a healthy lifestyle. The increased usage of herbal goods has also led to a variety of product abuses and adulterations, which have disappointed consumers and manufacturers and, in some cases, had disastrous results. Scientists face a significant difficulty in developing reliable analytical techniques that can quantitatively analyse marker/bioactive chemicals and other important ingredients and reliably profile the phytochemical makeup. An essential step for the establishment is standardisation.

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 Keywords

Authentication, Chromatography, Extraction, Purification, Standardization, Herbal technology, Herbal medicine. (1)

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Continuous input Current, Coupled Inductor, High Voltage gain, Switched Capacitor, Voltage Stress

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Shakespeare, Dwijendralal Roy, and Jaishankar Prasad are all subjects of a comparative analysis that is covered in Chapter 1 of this study. The purpose of this study is to compare the qualities of the three authors and to highlight the importance of their contributions. Chapter 2 of this study has discussed the works of the three authors, their significant works collectively collecting the necessary information regarding them and put them three in terms of their style, literature prophecy and contribution in world literature to emphasize the subject-matter of the research.

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SHAKESPEARE, D.L. ROY AND JAISHANKAR PRASAD - A COMPARATIVE STUDY

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Primary education, national productivity

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Outlier detection is examined and can be applied in many domains. These Outliers occur because of human error while data entry, fraudulent error when a malicious practice occurs, system behaviour, by natural deviations in datasets or instrument error. The detection of outliers has been used over many years, to identify outliers and analyse outliers where required. Sometimes the outliers need to be removed, Sometimes we use it to identify Outliers. The main challenge in outlier detection is to work on data that is highly Sensitive data. Sometimes the data is so sensitive that the outlier data coincides with the normal data, this usually occurs in the domain of malicious activities. The proposed system assists to clean data in less time and great accuracy. Our paper focuses on outlier detection which can be applied to various domains that have time series data. This shows critical review on various approaches to detect outliers and provides the most accurate technique for particular type of data

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Anova Test, Box plot, Data Analytics, Dataset Sensitivity, Isolation Forest, Local Outlier Factor

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 Abstract

Effective utilization of immunotherapy in treatment of coronavirus

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Effective utilization of immunotherapy in treatment of coronavirus

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This review explores the important implications of the rising prevalence of the SARS-CoV-2 Omicron subvariant for public health . The XBB Omicron subvariant has demonstrated increased transmissibility through an apparent propensity for immune evasion All pandemic viruses have eventually adapted to human hosts so that they become more transmissible and less virulent. Our multiscale investigation provided evidence suggesting that XBB is the first documented SARS-CoV-2 variant increasing its fitness through recombination rather than single mutations. The XBB Omicron subvariant is rapidly becoming the dominant strain of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in October 2022 and is one of several variants circulating globally with the potential to dominate autumn/winter waves in different countries.. This is to be expected in the natural evolution of a virus in a population highly vaccinated with a vaccine targeting the spike protein of the original Wuhan strain of the virus.

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Omicran, mutation,subvariant,vaccination

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: Smart home is the automation and control of electronic appliances and light energy systems.. In this paper, a smart home system was designed and implemented using Internet of Things (IoT). The system consists of two sub systems the Remote System and Cloud System. The Remote System (mobile system or remote-control device) is a messaging service used to send and receive data messages from the Application Program Interface. The cloud system consists of all the remote business logic and networking. This paper introduces new design for smart home which is based on 3D Virtual technology. The Virtual 3D engine is used to create a remote virtual home in user application. Users are able to monitor and control their remote virtual smart home using 3D virtual reality from remote application. This system utilizes a Virtual Machine Manager as a Wi-Fi-based gateway to connect different sensors and updates their data in Home Assistant cloud server. The collected data from several sensors can be accessed via remote devices such as smart phones and laptops over the Internet regardless of their location.

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Smart home, 3D virtual model, Internet of Things, Virtual Machine, Cloud System, Remote System,3D Virtual technology, home appliances.

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Background: The aging process contributes to a decrease in muscle mass, vision, and joint range of motion leading to loss to balance and fear of falls. Tripping over obstacle is very common among older adults due to loss of balance leading to falls. Introduction: Declines in all sensory systems (somatosensory, vision, vestibular) and all three stages of information processing (i.e sensory processing, sensorimotor integration, motor output) are found with aging. Older adults have more difficulty maintaining balance when sensory inputs from more than one system are greatly reduced, particularly when they rely solely on vestibular inputs for balance control. Balance problems occur most frequently among the elderly, falls are the leading cause of accidental death among older adults. Methodology & Results: 100 subjects were selected according to inclusion criteria and pre and post outcome measures were taken. They were randomly assigned to intervention & control group. Obstacle crossing was given for 2 weeks 3 times in a week. Results showed statistical significant improvement in pre and post measures of BBS(p<0.000) of the intervention group when compared to the control group. Conclusion: Hence obstacle training on balance and risk of falls by obstacle crossing in geriatric individuals is more effective in improving gait and reducing the risk of falls.

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Aging, Obstacle training, BBS (Berg Balance Scale), balance, risk of falls.

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