Volume 11 | Issue 5 |

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Piper betel Linn. an important species of the Piperaceae family is an evergreen and perennial creeper, with glossy heart-shaped leaves that are magnificent reservoirs of phenolic compounds with antiproliferative, anti-mutagenic, antibacterial and antioxidant properties. Phytochemical studies show that Piper betel contains a wide variety of biologically active compounds whose concentration depends on the variety of the plant species. Many research studies on Piper betel has reported that it contains important chemical constituents such as chavibetol, chavibetol ace- tate, caryophyllene, allylpyrocatechol diacetate, campene, chavibetol methyl ether, eugenol, a- Pinene, f-Pinene, uLimonene, safrole, 1-8-cineol, and allylpyrocatechol monoacetate. These components are valued as a stimulant for its medicinal properties like anti-fungal, anti-nocicep- tive, anti-cancer, immunomodulatory, antihalitosis, anti-diabetic, gastroprotective, anti-allergic, anti-fertility, antifilarial, anti-larvicidal, wound healing and anti-dermatophytic. The present re- view is an attempt to highlight various traditional uses as well as pharmacological reports on Piper betel L.

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Betel Leaf,Anti allergic ,Herbal ,Herbal Ingridients

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Now a day's online payment gaining popularity because of easy and convenience use of ecommerce. It became very easy mode of payment. People choose online payment and e-shopping; because of time convenience, transport convenience, etc. As the result of huge amount of e-commerce use, there is a vast increment in credit card fraud also. Machine Learning has been successfully applied to finance databases to automate analysis of huge volumes of complex data. Machine Learning has also played a salient role in the detection of credit card fraud in online transactions. Fraud detection in credit card is a big problem, it becomes challenging due to two major reasons-first, the profiles of normal and fraudulent behaviours change frequently and secondly due to reason that credit card fraud data sets are highly skewed. This paper research and checks the performance of Random Forest on highly skewed credit card fraud data. Dataset of credit card transactions is sourced from European cardholders containing 1 lakh transactions. These techniques are applied on the raw and pre-processed data. The performance of the techniques is evaluated based on accuracy, sensitivity, and specificity, precision.

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Data Analysis, Fraud in credit card, decision tree, random forest, Machine Learning, Security

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Technology is developing at a rapid rate, and many security problems are emerging along with it. One of the biggest problems with biometrics recognition technologies is that the system has numerous security flaws, and morph face attacks are becoming more frequent nowadays. Several authors offered different approaches to the problem in different sectors using different procedures. The "detection equal ratio," or comparing the genuine image with the morphing image, is one of the most important operations. The "CNN" method, which is used for segmentation and feature extraction, is the major algorithm the authors have used. The report also contrasts the numerous research techniques employed by the writers to discover the modified facial image and it's For this issue, the various authors provided various solutions in various fields with various processes. in the most significant processes were taking the "detection equal ratio," or comparing the bona fide image and morphed image. the main algorithm used by the authors was CNN, which is used for segmentation and feature extraction. further, the paper compares the various research methods used by the authors to find out the morphed face image and its detection ratio

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CNN, Rest-Net

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Enhanced Security for IoT Devices using Blockchain Smart Contract

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Enhanced Security for IoT Devices using Blockchain Smart Contract

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Creative Commons Attribution 4.0 and The Open Definition

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The term "Accountancy'' is very well known, but the actual meaning of accountancy we should know , Accountancy is the practice of recording, classifying and reporting on business transactions for the entity. Accountancy is the practical subject and every commerce student has to face this subject from 11th standard itself. If a student wants to be an expert in this subject then they have to do practice every day but due covid -19 total method of teaching changed and students are struggling with the practical subject. While studying the behaviour of students towards online mode of learning for accountancy subjects, they were struggling with it and facing a lot of problems but offline mode of learning where teachers use chalk and duster method which help them to understand accounting concepts and clear their doubts immediately. Students as well as teachers both are facing the same problems because of the change in mode of study but we have to deal with it due to the pandemic. As per my experience pre covid online classes are also available, still students enrol for offline classes especially for practical subjects like Accountancy because offline classes are always more effective than online in terms of Accountancy.

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Accountancy, Offline mode ,online mode,covid-19

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Self-finance courses are considered to be career-oriented and a big hit in the current education scenario. The demand for these courses rises due to the variety of specializations provided as per the needs of the students. Courses like BAF, BMS, BBI, BFM, etc. have a vast and complex syllabus. Colleges need to provide quality education and be able to keep up with the demands of the curriculum. Industrial visits are a link between students and industries. Hence, it is essential for students to have a positive outlook towards them. The current paper determines the extent of benefits students have gained through these visits so as to decide the next step in learning. Based on the results, it can be said that the majority of the students have gained positive experiences during industrial visits that have helped them in various aspects of their educational journey. Students believe that these visits enhance learning and should be made mandatory.

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Industrial Visits, Self-Finance Courses, Practical Experience

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India is a highly populated country with a maximum young population and due to that it is one of the lucrative markets for the entertainment industry globally. With the easy availability of the internet where we can see as well as review anything and everything it is no different fact that the internet brought the entertainment industry to the next level and in today's time entertainment patterns are shifted to a great extent towards digital platforms. The purpose of the study is to identify different impacts of web series on youth. We will also study the factors which attract young minds towards web series. Primary data collected through well designed structured questionnaire & secondary data collected from various secondary resources where potential data is available from past studies and published journals in the context of, impact of web series on youth.

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"A study on impact of web series on youth"

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INERTIA OF DISTANCE MATRIX OF SPIDER GRAPH Distance matrix

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INERTIA OF DISTANCE MATRIX OF SPIDER GRAPH Distance matrix

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Alzheimer's disease also called as senile dementia.It is a progressive disease that destroys memory & other important mental functions. In this, Brain cell connections & the cells themselves degenerate & die eventually destroying Memory & other important Mental Functions. As the disease advances, symptoms can include problems with language, disorientation, mood swings, self neglect & behavioural issues, etc There is a substantial need for new therapies that offer improved symptomatic benefit & disease- slowing capabilities.The aged population is growing globally, creating an urgent need for more promising therapies for this debilitating disease. In these there are various drugs are developed For the treatment of Alzheimer's Disease e.g. Lecanemab.Lecanemab is an amyloid beta- targeting antibody used to treat Alzheimer's Disease. Here we cover the mechanism of action of targeted therapies & therapeutical agents/drugs to re-think drug development strategies & development of targeted therapies for Alzheimer's disease. & also directions for future studies.

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Alzheimer's disease, Amyloid beta-protein, Tau protein, Targeted therapies, aducanumab, Lecanemab, Pathophysiology

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Creative Commons Attribution 4.0 and The Open Definition