International journal of health sciences
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Combination of data mining and artificial intelligence algorithms for efficient web page recommendation
Get PDFDue to the obvious unstable increase in information, the web is saturated with data, which makes the data search a complicated task. Existing web-based recommendation systems include shortcomings such as a lack of capability as well as scalability when dealing with online data, and blockages created by traffic while utilising the website during peak hours. Web recommendation systems help consumers find the right content and make the information search process easier. Web usage mining is regarded as the primary source for web recommendation, and it is used in conjunction with association rule mining and the C4.5 algorithm to recommend online pages to the user. The Google search engine has been widely enhanced the likelihood on the system's suggested structure. A web log is created when a user enters a search query into a search engine. This query would be compared to the web logs by the proposed system. The associate rule mining technique helps in matching the user's search query to the online log. The C4.5 algorithm is linked to a priority based on reviews, which obviously ranks the search based on priority for greater validation result. 
Impact of COVID-19 on insurance industry
Get PDFThe COVID-19 outbreak led to an unprecedented abrupt economic shock to many developing countries, among which was the Republic of North Macedonia. In order to reduce the impact of the disease spread, the government of North Macedonia implemented social distancing restrictions such a sclosure of schools, airports, borders, restaurants and shopping malls. In the most severe cases there were even lockdowns – the citizens of certain municipalities were prohibited from leaving theirhomes. This sub sequently led to a major economic down turn: stock market splummeted, inter- national trade slowed down, businesses went bankrupt and people were left unemployed. The resulting pandemic and the government actions taken inresponse, notably altered the social and economic activities under taken by the population (Stojkoski et al., 2020). In this paper we will try to find out impact of COVID-19 on Insurance Industry
Analysis for estimating economic loss due to deaths in road traffic accidents: Human capital method
Get PDFBackground: Injuries and Death that had occurred due to road traffic accidents cannot measure the economic loss, but also affects the physical and mental challenges of the whole family. The aim of this study is to determine the economic burden due to road traffic deaths in hilly areas of two major districts of Uttarakhand. Methods: A retrospective cohort study was conducted to determine the impact of deaths due to road traffic accidents for which secondary data was collected after written consent from the Traffic Police Department records in Dehradun and Haridwar. Primary data was collected from the attendants of deceased through pre-designed structured questionnaire along with informed consent. Significance & scope of the study: The economic loss due to road traffic accidents (RTA) is not measurable. Few studies claimed to assess the economic burden due to road traffic accidents in the last two decades. No database was available from hilly terrain in Uttarakhand. Hence the scope was a major criterion for this type of study. Research Findings: The present study estimated that the road traffic death rate was found to be significantly affective the GDP of the deceased family in comparison with state to that of country
Clustering based sentiment analysis on Twitter data for COVID-19 vaccines in India
Get PDFCoronavirus is a new and rapidly spreading viral disease. It is essential to have a vaccine in order to reduce the virus's impact. Vaccination-related sentiments can influence an individual's decision to accept the vaccines. Evaluating the sentiments is a time-consuming and challenging process. Sentiment analysis (SA) could have an impact on the vaccination initiatives as well as changes in people's opinions and behaviour around immunizations. Since social media is widely utilized to disseminate information, mining this data is a popular area of study these days. On Twitter, a wide range of opinions about the negative effects of licensed vaccines have been expressed over time. In this research, tweets are gathered, pre-processed to remove extraneous data, and then utilized for sentiments analysis utilizing the Lexicons-based technique and machine learning. After feature extraction, the clustering is performed using MEEM approach. This research proposed a Clustering Based Twitter sentiments analysis of COVID 19 (C-SAT COVID 19) vaccinations in India. An enhanced random forest classifier is implemented in this research to classify the sentiment scores provided by the sentiment analysis. A classification is performed based on the negative, neutral, and positive sentiment analysis to examine people's emotions towards vaccinations accessible in India. 
Disease detection on plant leaf using K-means segmentation with fuzzy logic SVM algorithm
Get PDFDetection of plant diseases requisite at its early stage to manage the large crop field. In plants existence of diseases result reduced yields of crops and therefore it is imperative to identify at its early stage. Leaf is the main part where the diseases symptoms are shown in the initial stage itself. Image processing techniques are used at the computing part whereas in this research a hybrid KMFLs (K-Means Fuzzy logics) and SVMs (Support Vector Machines) are implemented to identify and categorize diseased plants based on leaf disease grades. This work’s proposed method is implemented by examining images of leaves for diseases including Alternaria alternates, Anthracnoses, Bacterial blights and Cercospora leaf spots. The input leaf image features are extracted which are subsequently used for categorizations into classes
An overview on development of policies and barriers for wind energy generation: Indian scenario
Get PDFIn the past wind energy is harnessed for attaining some valuable work like grains grinding, water pumping, and even boat sailing over a long-time. However, times have been changed from conventional utilization of wind energy to electricity generation in modern days. Wind energy is believed to be one of the purest kinds of renewable energy. India's wind energy resource potential is estimated to be 102 GW at 80m and 302 GW at 100m of hub height. The immense potential of wind energy which has been kept uninvestigated can be accomplished through fair framed policies. The present paper focused on a comprehensive analysis of the Indian government planning to expand its wind energy business by offering financial incentives and development policies. In this paper, Indian wind energy policies have been intensely analyzed and various barriers to achieving the success of these schemes and programs have been discussed. The summary of the present paper is to reiterate the work carried on the wind energy sector in terms of enhanced fiscal incentives, minimized energy pricing, offshore wind farm prospects, and market growth stability by the Indian government (both central and state)
Reducing of specific carcinogenic disinfection by-products compounds from drinking water using chlorine dioxide as alternative for chlorine
Get PDFChlorination has significantly reducing the risk of pathogenic dirt but could pose a chemical hazard to human health due to formation of various disinfection by-products (DBPs). Chlorine dioxide is one of the most intriguing oxidants since it combines a high oxidation capacity with a minimal generation of harmful byproducts like chlorinated organics when used. As a result, it is widely utilized in the disinfection of drinking water and, more recently, in the disinfection of surfaces and structures. Trihalomethanes (THMs) that react with chlorine and organic materials are suspected carcinogens. THMs, haloacetic acids (HAAs), haloacetonitriles (HANs), and halogenated ketones are the most common disinfection by-products (DBPs). Cancer, abortion, poor birth weight, and congenital impairments are all increased by exposure to these by-products. This study aimed to highlight the ability to use chlorine dioxide as alternative for chlorine to reducing carcinogenic hazardous organic material formation. The study resulted that both the concentration of chlorine and chlorine dioxide is one of the major parameters in hazardous organic material formation
Amit Jain’s surgical scoring system and its ability in predicting the major amputation in diabetic foot complications
Get PDFThere are numerous scoring system used in different parts of the world and most of them are for diabetic foot ulcers only with Amit Jain’s surgical scoring system being the first such scoring for diabetic foot complications. This study aims to validate the Amit Jain’s scoring system in predicting the risk of major amputation in diabetic foot complications. A retrospective analysis was done in Department of General Surgery of Raja Rajeswari medical college, Bengaluru, India. The study period was from January 2018 to December 2019. All the patients who underwent surgeries for diabetic foot complications in our department were included in the study. A total of 47 patients were included in this study. Majority of patients (76.6%) were males 61.7% of patients had diabetes mellitus of less than 10 years duration. Abscess was the most common pathological lesion seen in the foot affecting 36.17%. Most of the patients (59.6%) with diabetic foot complications had Amit Jain’s surgical score of 6-10 and were in low risk category. 12 patients (25.5%) underwent major amputation in this study and a significant association (P<0.001) was noted between Amit Jain’s surgical scoring and major amputation. 
Assessment of effect of fixed orthodontic treatment on gingival health: An observational study
Get PDFAims: Evaluation of effect of fixed orthodontic treatment on gingival health.
Materials & methods: 50 patients within the age group of 15 to 25 years who were scheduled to undergo fixed orthodontic treatment were included in the present study. Clinical examination of all the patients was carried out. Intra-oral and extra-oral radiographs were obtained and photographic records were noted in separate Performa. Presence or absence of gingival recession was recorded separately. All the results were recorded in Microsoft excel sheet and were analysed by SPSS software. Results: Mean visible plaque score before and after treatment was 1.46 and 2.85 respectively. Mean visible inflammation value before and after treatment was 2.46 and 12.45 respectively. Significant degradation of gingival health was seen following fixed orthodontic treatment. Conclusion: Fixed orthodontic treatment is associated with increase in plaque accumulation, inflammation and gingival recession
The effect of moringa leaf extract in increasing Hb levels of pregnant women during COVID-19 pandemic in Parigi Regency, Central Sulawesi, Indonesia
Get PDFBackground; The Covid-19 pandemic has a major impact on socioeconomic conditions and public health, especially pregnant women. The availability of food and nutrition will be greatly reduced due to limited mobility which will have an impact on the incidence of anemia in pregnant women. Thus, it is important to use moringa leaf extract as a local resource. Aim To find out the effect of Moringa leaf extract in reducing the incidence of anemia (hemoglobin levels) in pregnant women during the Covid-19 pandemic in the work area of Siniu, Community Health Center, Parimo Regency. Method It is a quasi-experimental research with randomized controlled Double-Blind design. The sample included 40 pregnant women divided into two groups: 20 pregnant women in the intervention group and 20 pregnant women in the control group. The intervention group was given moringa leaf extract capsule and Fe capsule every day. The control group was only given Fe capsule. Result The results showed that the characteristics of the respondents in the two groups before intervention were not different P=0.106. After the intervention for 1 month, the HB level of pregnant women in the intervention group increased significantly compared to the control group (p=0.050)