Volume 8 | Issue 7 |

 Abstract

The present work aimed at studying the food intake and lifestyle changes that might have occurred during pandemic among healthy individuals due to self-quarantine at home. The data was collected from 150 randomly selected participants in Bengaluru city, South India using a structures questionnaire framed using Google forms. The results of the study revealed that majority (73%) of the participants were working from home and almost all followed the precautionary measures to protect themselves against infection. The anthropometric data revealed that majority (32%) were overweight and 17% were obese with little or no physical activity from following a dedicated routine exercise pattern. The screen time on gadgets was more for majority and shortage of few hours of sleep was observed in 15% of the participants. Study data revealed changes in food consumption pattern, increased cravings for specific foods in majority (63%) with an inclination towards including an extra snack item in between meals every day. Overall, the study highlights the need for voluntary monitoring of food intake and life style changes among people in order to see that no major changes in the body weight as well as health happens during the lock-down period and some important recommendations are also given for health and well-being during this challenging time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lock-down, self-quarantine, food intake, craving, physical activity, recommendations

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In variety of domains large numbers of documents are generated every day. Mining text document and extracting useful information is challenging task. A group of words in a document describes the topic discussed in the document. Lot of work has been done for mining topic from a document set. A document containing time information helps to perform analysis of time series documents like collection of news articles, series of scientific papers, posts or tweets on social media sites, etc. By analyzing time specific document the topic discussed in particular temporal period can be extracted. Topics are evolved over time and are correlated. This paper includes the study of various topic modeling techniques and temporal topic analysis techniques. Based on the study of existing system, a new system is proposed for temporal topic modeling and forecasting the trends.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Text mining, Topic forecast, Topic discovery, Cluster labeling, topic modeling, Label identification _

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract� Several companies are able to identify fraudulent credit card transactions therefore that consumers not charged for objects that they look after not securing. Such problems can be attempted through Data Science and its significance, along with Machine Learning, cannot be excessive. In this paper proposes to illuminate the exhibiting of a information agreed expending machine learning through Credit Card Fraud Detection. In this Difficult comprises demonstrating earlier credit card transactions with the information of the ones that revolved out to be fraud. This prototypical is formerly used to distinguish whether a new transaction is fraudulent or not. Our impartial now is to perceive 100% of the fraudulent transactions while decreasing the improper deception arrangements. Fraud Detection is a representative sample of classification. In this procedure, we must focused on analyzing then pre-processing datasets as well as the deployment of several anomaly detection algorithms such as Local Outlier Factor and Isolation Forest algorithm for Transaction information.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Credit card fraud, applications of machine learning, data science, isolation forest algorithm, local outlier factor, automated fraud detection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Secondary school Teachers, Gender difference, Government and Private schools, Professional stress

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An injective function f from V(G) into {0, p_1, p_2,..., p_q} is Padovan graceful if the induced edge labeling f *(xy) = | f(x)? f(y)| is a bijection onto the set {p_1, p_2,..., p_q}. A graph G(p,q) which admits a Super Padovan graceful labeling is called a Super Padovan graceful graph, where p_q is the qth Padovan number in the Padovan sequence

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wheel ,Comb, coconut tree,Olive tree, Super Padovan Graceful Labeling ,Super Padovan Graceful Graph.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India, most of the study in case of ear infection is done on otitis media but otitis externa is also one of the main causes of ear infection which may lead to impairment of hearing. Otitis externa is the infection and inflammation of the external ear and ear canal up to eardrum. It is also called swimmer�s ear as it is always associated with the swimmers. Present study concerns with the isolation and identification of bacterial pathogens from the patients of otitis externa and age-wise and gender-wise distribution of patients. The samples were collected by using a standard collection method from the infected ear and processed in the laboratory for the isolation of pathogenic bacteria. The bacteria were identified on the basis of 16SrRNA gene sequencing and phylogenetic analysis. A total of six bacterial species was identified as Staphylococcus, Klebsiella, Bacillus, Acinetobacter, Exiguobacterium, and Enterococcus. Staphylococcus was found as the most frequently isolated bacterial species. In an age-wise distribution study out of 80, 43 patients belonged to the age group 0-18 years, 35 from the age group above 40 years, and 2 from the age group 19-40 years. In the gender-wise distribution study from a total of 80 patients, 57 were females and 23 were males. The most affected age group of otitis externa is children while the females were more affected than males. The high incidence of Staphylococcus showed the commonest cause of otitis externa. The data regarding isolated pathogens will be useful for topical antibiotic treatment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Otitis externa, causative agents, Staphylococcus, Swimmer�s ear

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The current study has been undertaken to assess knowledge score regarding Covid-19 & its prevention among antenatal mothers by awareness programme in Gram Dham kheda sarvdharm kolar road, Bhopal. The research design used for study was pre- experimental in nature. The tool for study was self-structured knowledge questionnaire which consists of 2 parts-PART- I consisted questions related to Socio-demographic data, PART-II consisted of self -structured knowledge questionnaire to assess knowledge score regarding Covid-19 & its prevention among antenatal mothers. The data was analyzed by using descriptive & inferential statistical methods. The most significant finding was that 20.5% of antenatal mothers were having average knowledge regarding Covid-19 & its prevention whereas 79.5% had fair knowledge after post-test. It was suggested that nurses must educate antenatal mothers regarding Covid-19 & its prevention.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Impact, awareness programme, knowledge & Covid-19 & its prevention.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Trauma is a powerful shook which has long lasting effects . Child Sexual Abuse includes wide range of sexual behavior which takes place between a child and an older person, they are directed towards arousal of the older person . CSA involves body contact, flashing of private parts, forcing children to watch pornography etc. In 2015, 14,913 children were abused in India . This paper explores, analyses and provides suggestion about trauma, symptoms and aspects of life affected by CSA. A qualitative research taking sample of 12 survivors of CSA (male &female) of age group 18-30 years belonging to middle class were interviewed. Semi structured interview and self-disclosure (clinical tool) were tools used to collect data focused on three aspects- what happened or experience and aftermaths of the incident, aspect of adult life still governed by the incident and the suggestions from survivors for parent and children who are still going through the aftermaths of CSA. Result: Immediate Symptoms and Themes which CSA survivors have had are Mistrust and scepticism, Flashbacks, Emotional detachment, Unwanted thoughts, Self-destructive behavior, Social isolation, Nightmares etc. Theme: Non disclosures but leaving subtle clues to caregivers by victim about incident, Shame and feeling of being at fault, no direct communication about child sexual abuse exists in family of survivors, No information about what is having but having a gut feeling that something isn�t right, Manipulated by perpetrator to play game etc. were some majorly emerged themes. Suggestions: Equipping child with good and bad touch knowledge, connecting to your child, Noticing and responding to child�s concerns and unusual behavior at the presence of certain people, Using T.V shows and plays to educate child, Parents training to accept that child sexual abuse can take place identifying common symptoms of mental illnesses and not to dismiss child�s concern by saying the child doesn�t want to study. ETC.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words: Trauma, Child sexual abuse, Three pillars of interview, Symptoms, Suggestions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Money laundering and financial crimes are an activity which is common in all areas. This has been done by cyber crime fraudersters and exploiting the general public, as well as banks, and others. Due to this it damages to many, and getting loss to entire global. Now-a-days, its crime has been increasing very enormous. So, govt. of India has been taken the following measures to controlling and monitoring it. In order to prevent it by passing the bill in parliament, this paper deals with introduction to AML, its features of financial crimes and Anti-money laundering and methods of laundering, and process of money laundering, the trends of money laundering in local, regional and at global level also, and its recommendations and its conclusions. Money laundering is the illegal process of concealing the origins of money obtained illegally by passing it through a complex sequence of bank transfers or commercial transactions. One of the problems of criminal activities is accounting for the proceeds without raising the suspension of law enforcement agencies. India�s promising position as a financial centre and its system of informal cross border money flows makes the country�s susceptibility to money laundering. Some frequent sources of illegitimate earnings in India are narcotics trafficking, corruption, income tax evasion etc. Combating money laundering is the most important task for the financial sector. For India, to diminish informal money transfer channels, it needs to fortify enforcement around the important areas - responsibility of management in Anti Money Laundering (AML) policies, scrutinizing of AML systems, adoption of appropriate �Know Your Customer� norms, transaction monitoring, staff training towards regulation compliance

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS: FINANCIAL CRIMES, AML, TRAFFICKING, CORRUPTION, TAX EVASION, NARCOTICS, REGULATION COMPLIANCE.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays, cloud computing usage is rapidly increasing by various IT companies due to its several advantages. It gives lot of benefits with cost savings, high speed, its reliability and also offers advanced online security. By using these three techniques AES, DES and RC2 we are doing encryption and decryption of our data which is already stored into the cloud and in this way, we can preserve our data confidentiality, integrity and data availability. To make sure the security of cloud computing is the major factor. In terms, we have used hybrid encryption with the use of cross breed cryptographic calculations to enhance the security of information present on cloud server. This is what we are going to deal with in this Research Paper.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trusted storage, Confidentiality, Integrity, Reliability, AES, DES, RC2.

  License

Creative Commons Attribution 4.0 and The Open Definition