Star Edge Coloring of Corona Product of Path with Some Graphs

All graphs considered in this paper are finite and simple, i.e., undirected, loopless and without multiple edges

Ensemble of Homogenous and Heterogeneous Classifiers using K-Fold Cross Validation with Reduced Entropy

Chronic kidney disease (CKD) affects millions of people worldwide, greatly reducing their quality of life and creating serious economic, social, and medical problems. Some automated diagnosis methods can detect chronic renal disease. In-depth studies on data mining techniques have recently focused on accuracy in the diagnosis of chronic renal illnesses, either by taking advantage of the disease's simplicity or doing feature selection in addition to pre-processing. In order to handle the unbalanced dataset in this work, Synthetic Minority Over Sampling Technique (SMOTE) is used during pre-processing. For this investigation, 400 data from the publicly accessible UCI machine learning (ML) repository are used. For the implementation, both homogeneous and heterogeneous ensemble classifiers which combine two separate classifiers have been used. Different machine learning (ML) techniques, such as the Classification and Regression Tree (CART), Adaboost classifier, Decision Tree (DT), Reduced Error Pruning Tree, Alternating Decision Tree, and Random Forests Algorithm and their ensembles with a significant reduction in entropy, are used to perform the classification. With a 99.12% accuracy rate and a 99.10% f1 score, the homogeneous classifier Adaboost-Random Forest outperforms other models in the prediction of CKD

In Vitro Antioxidant Activity of Bark Extracts of Rhizophora mucronata

The present study was conducted to evaluate the antioxidant activity of medicinal plant Rhizophora mucronata (R. mucronata). Shade dried stem bark of R. mucronata was powdered and extracted with 95% ethanol and water by cold extraction method. The total phenolic and flavonoid contents of water and ethanol extract of air dried stem bark was estimated by using spectrometric method. Antioxidant activity of R. mucronata was determined by using different methods namely DPPH radical scavenging assay, ferric reducing assay, nitric oxide radical scavenging assay, superoxide radical scavenging assay and ABTS radical scavenging assay, and its IC50 values were found to be 110.85, 193.47, 109.06, 88.69 and 12.56 ìg/ml for aqueous extract and 59.63, 242.71, 103.21, 84.95 and 4.21 ìg/ml respectively. The extracts exhibited marked dose dependent in vitro antioxidant activity. Secondary metabolite isolation and characterization and in vivo evaluation of aqueous and ethanolic extracts were under progress

Efficacy of Preserving Sea Foods Using Marine Lactobacillus

Scombroid food poisoning is a food borne illness that results from eating spoiled (decayed) fish. Histamine is the causative agent of scombroid poisoning, a food borne chemical intoxication. Histamine is one of the main biogenic amines and it is heterocyclic and biologically active primary amine, formed post-mortem in the muscles of scombroid and   non-scombroid fish. The present study was carried out to isolate histamine-producing bacteria from a local fish and to test antibacterial activity of mangrove isolates of Lactobacillus species against the histamine producing bacteria. Fresh tuna fish (Euthinus affinis) obtained from   Parangipettai coast and they were divided in to three groups. One group of the fish samples were stored directly and another two group of the fish  samples were dipped in cold distilled water containing bacteriocin of   Lactobacillus sp. and partially purified bacteriocin (10 ml, 1% v/v) respectively. The fish samples, after treatment were stored at 5, 15, 20 and 25 0C for the period of 24, 48, 72 and 96 h, respectively. Histamine quantification was performed at an interval of 24 h for four days. According to the results obtained it was proved that mangrove isolates of  Lactobacillus species having high antimicrobial activity against histamine-producing bacteria which is responsible for spoilage of sea foods

Gillnet fisheries of India

World has shown a spectacular increase in operation in recent years. A recent article (Anon., 1992) makes the following observations on the world gill net fishing: "The drifl: gill net fleet of the world act as curtains of death, land huge quantities of non-targeted species, prevent the salmon from reaching their native spawning sites, and also entangle, mutilate and drown thousands of marine mammals. The situation is alarming that more than 1,000 fishing vessels operate large sized nets hanging as much as 11 metres deep and spanning about 50 km, the combined length of the fleet's nets operating in the Pacific, Atlantic and Indian Oceans amounting to about 50,000 km, more than the distance around the earth"

MANAGEMENT OF INDIGENOUS RESOURCES FOR PROMOTION OF INDIGENOUS TOURISM: A STUDY OF SELECTED TRIBAL DISTRICTS OF MADHYA PRADESH

This research article aims to explore indigenous tourism and people, which is a hidden tourist treasure that can be showcased to the outer world for future research gaps. This study is an attempt to reflect the problems, concepts, scope, Government tourism policies, objectives, hypothesis research design, and limitations in the first chapter, followed by an extensive review of the literature to understand the impacts of indigenous tourism on indigenous community, perspectives of the indigenous community of promotion of indigenous tourism, management of indigenous resources, and tourist demands. Data was collected from the tourist respondents who are the direct beneficiaries of indigenous tourism at Balaghat, Mandla, and Dindori districts. In this backdrop, the study aims to portray the trend of results for making Indigenous tourism a viable business option by branding and positioning the study area in the international tourist map. Two questionnaires, one for tourists and another for the indigenous community, were made. The analysis of tourist data is in three parts. The first part is related to the demographic profile of tourists. The second part includes travel-related information, and the third part includes tourist activity. The analysis of community data is in three parts. The first part is related to the demographic profile of the community. The second part includes the impact of indigenous tourism on the community, and the third part includes perspectives of indigenous communities on indigenous tourism promotion. The findings reflect the socio-demographic profile of the members of the community. The tourist questionnaire yielded valuable insights with respect to travel information, preferences and behaviour, as well as activities undertaken by the tourists. The underlying factors influencing the impact of tourism on the community were found to be 1) Creation of Human Resources, 2) Social Incapacity, 3) Conservation Focus, 4) Community Awareness and Participation, 5) Promotion of Local Products, and 6) Infrastructure Improvement. Suggestions have been put forward in connection to developing a better understanding of the target customer, and the tourist market in general; recreation and accommodation options; further research, promotion programs, branding; and greater focus in the making of tourism policy

Distribution of finfish resources along southeast coast of India in relation to certain environmental parameters

This paper embodies the distribution pattern of major finfish resources along the southeast coast of India as observed during the cruises operated by FORV Sagar Sampada. A total of 16 cruises (1985-90) operated along latitude 7° 15'- 15°00' N and longitude 75°50'- 82°3r E hauled a total catch 37.5 tonnes with a catch rate of 537 kg/hr. The catch was constituted mainly by threadfin breams (43%), perches (14%), barracudas (9.72%), carangids (8.56%) and elasmobranchs (4.81%). Seasonally higher catch rates were obtained during July- September period. Depth range of 60 - 80 m had denser population of finfish resources. Water temperature and salinity appeared to influence the distribution of major finfishes more than dissolved oxygen. Groups such as threadfin breams were found preferring cooler waters of Wadge Bank area, while barracudas appear to occupy warmer waters of Gulf of Mannar

PrEGAN: Privacy Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification

Privacy in medical records while data sharing is a major concern for distributed learning models. The dataset generated and shared via Electronic Medical Records (EMR) consist of sensitive medical information such as patient identify and experts recommendations, and causes setbacks in training larger models, dataset augmentation and polluting datasets with recursive attributes. The information processing and de-identification is proposed in this article to preserve and enhance the privacy of EMR. The proposed technique is termed as PrEGAN (i.e.) Privacy Enhanced Generative Adversarial Network (GAN) for EMR data training and realistic mapping. The proposed model generates and discriminates the ground truth with generated mask via a computation of loss function for de-identification or removal of personal linked/connected data in the records networks. The objective is to generate the mask of EMR, which is realistic and similar to the ground truth. The model is trained and validated with two distinguished discriminators, the CNN based discriminator is used for medical images, whereas Neural Networks are used for textural data generator. The experimental results demonstrate a higher degree of data privacy and de-identification in EMR with 88.32% accuracy in predicting and eliminating via RoI and loss function

How do Muslim service users, caregivers, and community members in Malappuram, Kerala, use their faith to address the challenges associated with mental ill health?

Our aim was to explore the role religion and spiritual beliefs play in dealing with the challenges associated with mental ill health among the Muslim community in Malappuram, Kerala. Twenty-four interviews were conducted with patients of Islamic faith diagnosed with a mental health condition (n = 10) in urban (Ponnani) and rural (Vailathur) area of Malappuram, a Muslim majority district in Kerala, their family carers (n = 8) and community members (n = 6). Four key themes were derived, namely (1) Attribution to supernatural factors, (2) Relying on “God’s will”, (3) Prayer, and (4) Traditional healing. Faith was seen to be a prerequisite for any treatment, including modern medicine, to work. Even within a single faith group there can be considerable variation in belief and practice, with more pious participants disapproving of the reliance on local traditional healers and belief systems, highlighting the value of paying attention to the detail of local beliefs and practices

Analysis of Population Structure and Genetic Diversity in Rice Germplasm Using SSR Markers: An Initiative Towards Association Mapping of Agronomic Traits in Oryza Sativa

Background Genetic diversity is the main source of variability in any crop improvement program. It serves as a reservoir for identifying superior alleles controlling key agronomic and quality traits through allele mining/association mapping. Association mapping based on LD (Linkage dis-equilibrium), non-random associations between causative loci and phenotype in natural population is highly useful in dissecting out genetic basis of complex traits. For any successful association mapping program, understanding the population structure and assessing the kinship relatedness is essential before making correlation between superior alleles and traits. The present study was aimed at evaluating the genetic variation and population structure in a collection of 192 rice germplasm lines including local landraces, improved varieties and exotic lines from diverse origin. Results A set of 192 diverse rice germplasm lines were genotyped using 61 genome wide SSR markers to assess the molecular genetic diversity and genetic relatedness. Genotyping of 192 rice lines using 61 SSRs produced a total of 205 alleles with the PIC value of 0.756. Population structure analysis using model based and distance based approaches revealed that the germplasm lines were grouped into two distinct subgroups. AMOVA analysis has explained that 14 % of variation was due to difference between with the remaining 86 % variation may be attributed by difference within groups. Conclusions Based on these above analysis viz., population structure and genetic relatedness, a core collection of 150 rice germplasm lines were assembled as an association mapping panel for establishing marker trait associations